A new type of machinable bioactive glass-ceramics for bone substitution has been developed in the glass system SiO_2-MgO-K_2O-F^--CaO-P_2O_5, which contains Mg- muscovite [K_2Mg_5 (Si_8O_(20)) F_4] and fluorapatite as...A new type of machinable bioactive glass-ceramics for bone substitution has been developed in the glass system SiO_2-MgO-K_2O-F^--CaO-P_2O_5, which contains Mg- muscovite [K_2Mg_5 (Si_8O_(20)) F_4] and fluorapatite as the two main crystal phases. The phase separation and the crystallization of the glass have been studied. A series of tests have showed that the material is good at mechanical property and bioactivity. Espe- cially, by analysing the structure of the interface layer between the material and the bone of animal with scanning electron microscope, electron probe, etc., it has been found that the new bone hydroxya- patite is formed on the surface of the material so that the material is connected firmly with the bone.展开更多
In this invention, the procedure of cutting, conveying, threshing and transporting stalks are carried out by a set of conveying chains ( see figure). The axis of the main drum 2 is placed horizontally transverse (vert...In this invention, the procedure of cutting, conveying, threshing and transporting stalks are carried out by a set of conveying chains ( see figure). The axis of the main drum 2 is placed horizontally transverse (vertical to the forward direction). The upper and the lower conveying chains 8, 10 as well as cutterbar 11 are mounted in the lower part of the axial feed opening. Several star well 9 and plastic stalk-pressing rod are filled at the front of the lower conveying chain, and a spring stalk pressing assembly at the rear. The residue after threshing is discharged by star seels 18, 34. The staiks are placed near the cutterbar 11. Once the stalks are cut off by the cutterbar, they展开更多
Objective To explore the invasion of different types of meningeoma to their surrounding tissue. Methods The specimen from 124 patients with meningeomas,who underwent surgery in Southern Hospital from April 2009 to Jun...Objective To explore the invasion of different types of meningeoma to their surrounding tissue. Methods The specimen from 124 patients with meningeomas,who underwent surgery in Southern Hospital from April 2009 to June 2010 were used to analyze the invasion of different types of meningeomas to their surrounding tissue. All the tumors were resected in the standard of Simposon I. We referred to WHO 2007展开更多
Purpose-The design goal for the tracking interval of high-speed railway trains in China is 3 min,but it is difficult to achieve,and it is widely believed that it is mainly limited by the tracking interval of train arr...Purpose-The design goal for the tracking interval of high-speed railway trains in China is 3 min,but it is difficult to achieve,and it is widely believed that it is mainly limited by the tracking interval of train arrivals.If the train arrival tracking interval can be compressed,it will be beneficial for China's high-speed railway to achieve a 3-min train tracking interval.The goal of this article is to study how to compress the train arrival tracking interval.Design/methodologylapproach-By simulating the process of dense train groups arriving at the station and stopping,the headway between train arrivals at the station was calculated,and the pattern of train arrival headway was obtained,changing the traditional understanding that the train arrival headway is considered the main factor limiting the headway of trains.Findings-When the running speed of trains is high,the headway between trains is short,the length of the station approach throat area is considerable and frequent train arrivals at the station,the arrival headway for the first group or several groups of trains will exceed the headway,but the subsequent sets of trains will havea headway equal to the arrival headway.This convergence characteristic is obtained by appropriately increasing the running time.Originality/value-According to this pattern,there is no need to overly emphasize the impact of train arrival headway on the headway.This plays an important role in compressing train headway and improving high-speedrailwaycapacity.展开更多
Purpose-The spatiotemporal compression effect of China-Europe Railway Express(CR-Express)can reduce the filow costs of resources between China's node cities.Additionally,it can break through the limitations of low...Purpose-The spatiotemporal compression effect of China-Europe Railway Express(CR-Express)can reduce the filow costs of resources between China's node cities.Additionally,it can break through the limitations of low-added-value marine products,significantly impacting the logistics industry efficiency.However,there are few literature verifying and analyzing its heterogeneity.This study explores the impact of CR-Express on the efficiency of logistics industry in node cities and analyzes the heterogeneity.Design/methodology/approach-First,this study uses panel data to measure the efficiency of node city logistics industry.Secondiy,this study discusses the impact of the opening of CR-Express on the efficiency of logistics industry in node cities based on the multi-period differential model.Finally,according to the node city difference,the sample city experimental group is grouped for heterogeneity analysis.Findings-The results show that CR-Express can promote the urban logistics industry efficiency,with an average effect of 4.55%.According to the urban characteristics classification,the heterogeneity analysis shows that the efficiency improvement effect of logistics industry in inland cities is more obvious.The improvement effect of node cities and central cities in central and western China is stronger,especially in the sample of megacities and type I big cities.Compared with non-value chain industrial products,the CR-Express has significant promotion effects on the logistics efficiency of the cities where main goods are value chain products.Originality/value-Under the background of double cycle development,this paper can provide a scientific basis for the investment benefit evaluation of CR-Express construction and the follow-up route planning.展开更多
Purpose-In order to solve the problem of inaccurate calculation of index weights,subjectivity and uncertainty of index assessment in the risk assessment process,this study aims to propose a scientific and reasonable c...Purpose-In order to solve the problem of inaccurate calculation of index weights,subjectivity and uncertainty of index assessment in the risk assessment process,this study aims to propose a scientific and reasonable centralized traffic control(CTC)system risk assessment method.Design/methodologylapproach-First,system-theoretic process analysis(STPA)is used to conduct risk analysis on the CTC system and constructs risk assessment indexes based on this analysis.Then,to enhance the accuracy of weight calculation,the fuzzy analytical hierarchy process(FAHP),fuzzy decision-making trial and evaluation laboratory(FDEMATEL)and entropy weight method are employed to calculate the subjective weight,relative weight and objective weight of each index.These three types of weights are combined using game theory to obtain the combined weight for each index.To reduce subjectivity and uncertainty in the assessment process,the backward cloud generator method is utilized to obtain the numerical character(NC)of the cloud model for each index.The NCs of the indexes are then weighted to derive the comprehensive cloud for risk assessment of the CTC system.This cloud model is used to obtain the CTC system's comprehensive risk assessment.The model's similarity measurement method gauges the likeness between the comprehensive risk assessment cloud and the risk standard cloud.Finally,this process yields the risk assessment results for the CTC system.Findings-The cloud model can handle the subjectivity and fuzziness in the risk assessment process well.The cloud model-based risk assessment method was applied to the CTC system risk assessment of a railway group and achieved good results.Originality/value-This study provides a cloud model-based method for risk assessment of CTC systems,which accurately calculates the weight of risk indexes and uses cloud models to reduce uncertainty and subjectivity in the assessment,achieving effective risk assessment of CTC systems.It can provide a reference and theoretical basis for risk management of the CTC system.展开更多
Purpose-Express freight transportation is in rapid development currently.Owing to the higher speed of express freight train,the deformation of the bridge deck worsens the railway line condition under the action of win...Purpose-Express freight transportation is in rapid development currently.Owing to the higher speed of express freight train,the deformation of the bridge deck worsens the railway line condition under the action of wind and train moving load when the train runs over a long-span bridge.Besides,the blunt car body of vehicle has poor aerodynamic characteristics,bringing a greater challenge on the running stability in the crosswind.Design/methodology/approach-In this study,the aerodynamic force coefficients of express freight vehicles on the bridge are measured by scale model wind tunnel test.The dynamic model of the train-long-span steel truss bridge coupling system is established,and the dynamic response as well as the running safety of vehicle are evaluated.Findings-The results show that wind speed has a significant influence on running safety,which is mainly reflected in the over-limitation of wheel unloading rate.The wind speed limit decreases with train speed,and it reduces to 18.83 m/s when the train speed is 160 km/h.Originality/value-This study deepens the theoretical understanding of the interaction between vehicles and bridges and proposes new methods for analyzing similar engineering problems.It also provides a new theoretical basis for the safety assessment of express freight trains.展开更多
Purpose–The purpose of this study is to study the quantitative evaluation method of contact wire cracks by analyzing the changing law of eddy current signal characteristics under different cracks of contact wire of h...Purpose–The purpose of this study is to study the quantitative evaluation method of contact wire cracks by analyzing the changing law of eddy current signal characteristics under different cracks of contact wire of high-speed railway so as to provide a new way of thinking and method for the detection of contact wire injuries of high-speed railway.Design/methodology/approach–Based on the principle of eddy current detection and the specification parameters of high-speed railway contact wires in China,a finite element model for eddy current testing of contact wires was established to explore the variation patterns of crack signal characteristics in numerical simulation.A crack detection system based on eddy current detection was built,and eddy current detection voltage data was obtained for cracks of different depths and widths.By analyzing the variation law of eddy current signals,characteristic parameters were obtained and a quantitative evaluation model for crack width and depth was established based on the back propagation(BP)neural network.Findings–Numerical simulation and experimental detection of eddy current signal change rule is basically consistent,based on the law of the selected characteristics of the parameters in the BP neural network crack quantitative evaluation model also has a certain degree of effectiveness and reliability.BP neural network training results show that the classification accuracy for different widths and depths of the classification is 100 and 85.71%,respectively,and can be effectively realized on the high-speed railway contact line cracks of the quantitative evaluation classification.Originality/value–This study establishes a new type of high-speed railway contact wire crack detection and identification method,which provides a new technical means for high-speed railway contact wire injury detection.The study of eddy current characteristic law and quantitative evaluation model for different cracks in contact line has important academic value and practical significance,and it has certain guiding significance for the detection technology of contact line in high-speed railway.展开更多
Purpose-The purpose of this paper is to eliminate the fluctuations in train arrival and departure times caused by skewed distributions in interval operation times.These fluctuations arise from random origin and proces...Purpose-The purpose of this paper is to eliminate the fluctuations in train arrival and departure times caused by skewed distributions in interval operation times.These fluctuations arise from random origin and process factors during interval operations and can accumulate over multiple intervals.The aim is to enhance the robustness of high-speed rail station arrival and departure track utilization schemes.Design/methodologylapproach-To achieve this objective,the paper simulates actual train operations,incorporating the fluctuations in interval operation times into the utilization of arrival and departure tracks at the station.The Monte Carlo simulation method is adopted to solve this problem.This approach transforms a nonlinear model,which includes constraints from probability distribution functions and is difficult to solve directly,into a linear programming model that is easier to handle.The method then linearly weights two objectives to optimize the solution.Findings-Through the application of Monte Carlo simulation,the study successfully converts the complex nonlinear model with probability distribution function constraints into a manageable linear programming model.By continuously adjusting the weighting coefficients of the linear objectives,the method is able to optimize the Pareto solution.Notably,this approach does not require extensive scene data to obtain a satisfactory Pareto solution set.Originality/value-The paper contributes to the field by introducing a novel method for optimizing high-speed rail station arrival and departure track utilization in the presence of fluctuations in interval operation times.The use of Monte Carlo simulation to transform the problem into a tractable linear programming model represents a significant advancement.Furthermore,the method's ability to produce satisfactory Pareto solutions without relying on extensive data sets adds to its practical value and applicability in real-world scenarios.展开更多
Purpose–With the yearly increase of mileage and passenger volume in China’s high-speed railway,the problems of traditional paper railway tickets have become increasingly prominent,including complexity of business ha...Purpose–With the yearly increase of mileage and passenger volume in China’s high-speed railway,the problems of traditional paper railway tickets have become increasingly prominent,including complexity of business handling process,low efficiency of ticket inspection and high cost of usage and management.This paper aims to make extensive references to successful experiences of electronic ticket applications both domestically and internationally.The research on key technologies and system implementation of railway electronic ticket with Chinese characteristics has been carried out.Design/methodology/approach–Research in key technologies is conducted including synchronization technique in distributed heterogeneous database system,the grid-oriented passenger service record(PSR)data storage model,efficient access to massive PSR data under high concurrency condition,the linkage between face recognition service platforms and various terminals in large scenarios,and two-factor authentication of the e-ticket identification code based on the key and the user identity information.Focusing on the key technologies and architecture the of existing ticketing system,multiple service resources are expanded and developed such as electronic ticket clusters,PSR clusters,face recognition clusters and electronic ticket identification code clusters.Findings–The proportion of paper ticket printed has dropped to 20%,saving more than 2 billion tickets annually since the launch of the application of E-ticketing nationwide.The average time for passengers to pass through the automatic ticket gates has decreased from 3 seconds to 1.3 seconds,significantly improving the efficiency of passenger transport organization.Meanwhile,problems of paper ticket counterfeiting,reselling and loss have been generally eliminated.Originality/value–E-ticketing has laid a technical foundation for the further development of railway passenger transport services in the direction of digitalization and intelligence.展开更多
Purpose-The paper aims to build the connections between game theory and the resource allocation problem with general uncertainty.It proposes modeling the distributed resource allocation problem by Bayesian game.During...Purpose-The paper aims to build the connections between game theory and the resource allocation problem with general uncertainty.It proposes modeling the distributed resource allocation problem by Bayesian game.During this paper,three basic kinds of uncertainties are discussed.Therefore,the purpose of this paper is to build the connections between game theory and the resource allocation problem with general uncertainty.Design/methodology/approach-In this paper,the Bayesian game is proposed for modeling the resource allocation problem with uncertainty.The basic game theoretical model contains three parts:agents,utility function,and decision-making process.Therefore,the probabilistic weighted Shapley value(WSV)is applied to design the utility function of the agents.For achieving the Bayesian Nash equilibrium point,the rational learning method is introduced for optimizing the decision-making process of the agents.Findings-The paper provides empirical insights about how the game theoretical model deals with the resource allocation problem uncertainty.A probabilistic WSV function was proposed to design the utility function of agents.Moreover,the rational learning was used to optimize the decision-making process of agents for achieving Bayesian Nash equilibrium point.By comparing with the models with full information,the simulation results illustrated the effectiveness of the Bayesian game theoretical methods for the resource allocation problem under uncertainty.Originality/value-This paper designs a Bayesian theoretical model for the resource allocation problem under uncertainty.The relationships between the Bayesian game and the resource allocation problem are discussed.展开更多
Purpose-The purpose of this paper is to propose radiating system by avoiding electromagnetic interference in unwanted directions and to radiate the energy in the required direction with an optimization technique.Desig...Purpose-The purpose of this paper is to propose radiating system by avoiding electromagnetic interference in unwanted directions and to radiate the energy in the required direction with an optimization technique.Design/methodology/approach-Practically,multiple,incompatible variables require concurrent boost on a synthesis of systematic antenna assemblage.The authors have worked out the main statistic penalty function to ensure all the restrictions.Here,MBPSO(Modified Binary Particle Swarm Optimization)is developed and introduced thin planar synthesis restriction.The sigmoid function is used to update the particle position.Different analytical demonstrations have been carried out,and the exhibited methods are predominant than the algorithms.Findings-A 20310 planar antenna array is synthesized using modified BPSO.The authors have suppressed the PSLL in two principal planes and as well as in the entire f plane.Numerical results state that MBPSO outperforms the other binary BPSO,BCSO,ACO,RGA,GAoptimization techniques.MBPSO achieved a51.84 dB PSLL level,whereas BPSO achieved48.57 dB with the same 50%thinning.Originality/value-Planar array antenna formation is one of the most complex syntheses because the array gets filled with more antenna elements.The machine-like complication and implementation of such an antenna arrangement with a broad opening would be expensive.It is not easy to control the required radiation patterns shape by using a uniform feeding network.To get better flexibility for sustaining the sidelobe levelheaded along with consistent amplitude distribution.So as far as prominence has been given to the evolutionary algorithm,find an ideal solution for objective array combinational problems.展开更多
Purpose-The purpose of this paper is to improve energy efficiency and further reduction of side lobe level the algorithm proposed is firework algorithm.In this paper,roused by the eminent swarm conduct of firecrackers...Purpose-The purpose of this paper is to improve energy efficiency and further reduction of side lobe level the algorithm proposed is firework algorithm.In this paper,roused by the eminent swarm conduct of firecrackers,a novel multitude insight calculation called fireworks algorithm(FA)is proposed for work enhancement.The FA is introduced and actualized by mimicking the blast procedure of firecrackers.In the FA,two blast(search)forms are utilized and systems for keeping decent variety of sparkles are likewise all around planned.To approve the presentation of the proposed FA,correlation tests were led on nine benchmark test capacities among the FA,the standard PSO(SPSO)and the clonal PSO(CPSO).Design/methodology/approach-The antenna arrays are used to improve the capacity and spectral efficiency of wireless communication system.The latest communication systems use the antenna array technology to improve the spectral efficiency,fill rate and the energy efficiency of the communication system can be enhanced.One of the most important properties of antenna array is beam pattern.A directional main lobe with low side lobe level(SLL)of the beam pattern will reduce the interference and enhance the quality of communication.The classical methods for reducing the side lobe level are differential evolution algorithm and PSO algorithm.In this paper,roused by the eminent swarm conduct of firecrackers,a novel multitude insight calculation called fireworks algorithm(FA)is proposed for work enhancement.The FA is introduced and actualized by mimicking the blast procedure of firecrackers.In the FA,two blast(search)forms are utilized and systems for keeping decent variety of sparkles are likewise all around planned.To approve the presentation of the proposed FA,correlation tests were led on nine benchmark test capacities among the FA,the standard PSO(SPSO)and the clonal PSO(CPSO).It is demonstrated that the FA plainly beats the SPSO and the CPSO in both enhancement exactness and combination speed.The results convey that the side lobe level is reduced to34.78dB and fill rate is increased to 78.53.Findings-Samples including 16-element LAAs are conducted to verify the optimization performances of the SLL reductions.Simulation results show that the SLLs can be effectively reduced by FA.Moreover,compared with other benchmark algorithms,fireworks has a better performance in terms of the accuracy,the convergence rate and the stability.Research limitations/implications-With the use of algorithms radiation is prone to noise one way or other.Even with any optimizations we cannot expect radiation to be ideal.Power dissipation or electro magnetic interference is bound to happen,but the use of optimization algorithms tries to reduce them to the extent that is possible.Practical implications-16-element linear antenna array is available with latest versions of Matlab.Social implications-The latest technologies and emerging developments in the field of communication and with exponential growth in users the capacity of communication system has bottlenecks.The antenna arrays are used to improve the capacity and spectral efficiency of wireless communication system.The latest communication systems use the antenna array technology which is to improve the spectral efficiency,fill rate and the energy efficiency of the communication system can be enhanced.Originality/value-By using FA,the fill rate is increased to 78.53 and the side lobe level is reduced to 35dB,when compared with the bench mark algorithms.展开更多
Purpose–This study aims to study the connected vehicle(CV)impact on highway operational performance under a mixed CV and regular vehicle(RV)environment.Design/methodology/approach–The authors implemented a mixed tra...Purpose–This study aims to study the connected vehicle(CV)impact on highway operational performance under a mixed CV and regular vehicle(RV)environment.Design/methodology/approach–The authors implemented a mixed trafficflow model,along with a CV speed control model,in the simulation environment.According to the different traffic characteristics between CVs and RVs,this researchfirst analyzed how the operation of CVs can affect highway capacity under both one-lane and multi-lane cases.A hypothesis was then made that there shall exist a critical CV penetration rate that can significantly show the benefit of CV to the overall traffic.To prove this concept,this study simulated the mixed traffic pattern under various conditions.Findings–The results of this research revealed that performing optimal speed control to CVs will concurrently benefit RVs by improving highway capacity.Furthermore,a critical CV penetration rate should exist at a specified traffic demand level,which can significantly reduce the speed difference between RVs and CVs.The results offer effective insight to understand the potential impacts of different CV penetration rates on highway operation performance.Originality/value–This approach assumes that there shall exist a critical CV penetration rate that can maximize the benefits of CV implementations.CV penetration rate(the proportion of CVs in mixed traffic)is the key factor affecting the impacts of CV on freeway operational performance.The evaluation criteria for freeway operational performance are using average travel time under different given traffic demand patterns.展开更多
Purpose-The paper aims to introduce an efficient routing algorithm for wireless sensor networks(WSNs).It proposes an improved evaporation rate water cycle(improved ER-WC)algorithm and outlining the systems performance...Purpose-The paper aims to introduce an efficient routing algorithm for wireless sensor networks(WSNs).It proposes an improved evaporation rate water cycle(improved ER-WC)algorithm and outlining the systems performance in improving the energy efficiency of WSNs.The proposed technique mainly analyzes the clustering problem of WSNs when huge tasks are performed.Design/methodology/approach-This proposed improved ER-WC algorithm is used for analyzing various factors such as network cluster-head(CH)energy,CH location and CH density in improved ER-WCA.The proposed study will solve the energy efficiency and improve network throughput in WSNs.Findings-This proposed work provides optimal clustering method for Fuzzy C-means(FCM)where efficiency is improved in WSNs.Empirical evaluations are conducted to find network lifespan,network throughput,total network residual energy and network stabilization.Research limitations/implications-The proposed improved ER-WC algorithm has some implications when different energy levels of node are used in WSNs.Practical implications-This research work analyzes the nodes’energy and throughput by selecting correct CHs in intra-cluster communication.It can possibly analyze the factors such as CH location,network CH energy and CH density.Originality/value-This proposed research work proves to be performing better for improving the network throughput and increases energy efficiency for WSNs.展开更多
Purpose–According to the Indian Sign Language Research and Training Centre(ISLRTC),India has approximately 300 certified human interpreters to help people with hearing loss.This paper aims to address the issue of Ind...Purpose–According to the Indian Sign Language Research and Training Centre(ISLRTC),India has approximately 300 certified human interpreters to help people with hearing loss.This paper aims to address the issue of Indian Sign Language(ISL)sentence recognition and translation into semantically equivalent English text in a signer-independent mode.Design/methodology/approach–This study presents an approach that translates ISL sentences into English text using the MobileNetV2 model and Neural Machine Translation(NMT).The authors have created an ISL corpus from the Brown corpus using ISL grammar rules to perform machine translation.The authors’approach converts ISL videos of the newly created dataset into ISL gloss sequences using the MobileNetV2 model and the recognized ISL gloss sequence is then fed to a machine translation module that generates an English sentence for each ISL sentence.Findings–As per the experimental results,pretrained MobileNetV2 model was proven the best-suited model for the recognition of ISL sentences and NMT provided better results than Statistical Machine Translation(SMT)to convert ISL text into English text.The automatic and human evaluation of the proposed approach yielded accuracies of 83.3 and 86.1%,respectively.Research limitations/implications–It can be seen that the neural machine translation systems produced translations with repetitions of other translated words,strange translations when the total number of words per sentence is increased and one or more unexpected terms that had no relation to the source text on occasion.The most common type of error is the mistranslation of places,numbers and dates.Although this has little effect on the overall structure of the translated sentence,it indicates that the embedding learned for these few words could be improved.Originality/value–Sign language recognition and translation is a crucial step toward improving communication between the deaf and the rest of society.Because of the shortage of human interpreters,an alternative approach is desired to help people achieve smooth communication with the Deaf.To motivate research in this field,the authors generated an ISL corpus of 13,720 sentences and a video dataset of 47,880 ISL videos.As there is no public dataset available for ISl videos incorporating signs released by ISLRTC,the authors created a new video dataset and ISL corpus.展开更多
Purpose-The trend of“Deep Learning for Internet of Things(IoT)”has gained fresh momentum with enormous upcoming applications employing these models as their processing engine and Cloud as their resource giant.But th...Purpose-The trend of“Deep Learning for Internet of Things(IoT)”has gained fresh momentum with enormous upcoming applications employing these models as their processing engine and Cloud as their resource giant.But this picture leads to underutilization of ever-increasing device pool of IoT that has already passed 15 billion mark in 2015.Thus,it is high time to explore a different approach to tackle this issue,keeping in view the characteristics and needs of the two fields.Processing at the Edge can boost applications with realtime deadlines while complementing security.Design/methodology/approach-This review paper contributes towards three cardinal directions of research in the field of DL for IoT.The first section covers the categories of IoT devices and how Fog can aid in overcoming the underutilization of millions of devices,forming the realm of the things for IoT.The second direction handles the issue of immense computational requirements of DL models by uncovering specific compression techniques.An appropriate combination of these techniques,including regularization,quantization,and pruning,can aid in building an effective compression pipeline for establishing DL models for IoT use-cases.The third direction incorporates both these views and introduces a novel approach of parallelization for setting up a distributed systems view of DL for IoT.Findings-DL models are growing deeper with every passing year.Well-coordinated distributed execution of such models using Fog displays a promising future for the IoT application realm.It is realized that a vertically partitioned compressed deep model can handle the trade-off between size,accuracy,communication overhead,bandwidth utilization,and latency but at the expense of an additionally considerable memory footprint.To reduce the memory budget,we propose to exploit Hashed Nets as potentially favorable candidates for distributed frameworks.However,the critical point between accuracy and size for such models needs further investigation.Originality/value-To the best of our knowledge,no study has explored the inherent parallelism in deep neural network architectures for their efficient distribution over the Edge-Fog continuum.Besides covering techniques and frameworks that have tried to bring inference to the Edge,the review uncovers significant issues and possible future directions for endorsing deep models as processing engines for real-time IoT.The study is directed to both researchers and industrialists to take on various applications to the Edge for better user experience.展开更多
Purpose-Isometric feature mapping(Isomap)is a very popular manifold learning method and is widely used in dimensionality reduction and data visualization.The most time-consuming step in Isomap is to compute the shorte...Purpose-Isometric feature mapping(Isomap)is a very popular manifold learning method and is widely used in dimensionality reduction and data visualization.The most time-consuming step in Isomap is to compute the shortest paths between all pairs of data points based on a neighbourhood graph.The classical Isomap(C-Isomap)is very slow,due to the use of Floyd’s algorithm to compute the shortest paths.The purpose of this paper is to speed up Isomap.Design/methodology/approach-Through theoretical analysis,it is found that the neighbourhood graph in Isomap is sparse.In this case,the Dijkstra’s algorithm with Fibonacci heap(Fib-Dij)is faster than Floyd’s algorithm.In this paper,an improved Isomap method based on Fib-Dij is proposed.By using Fib-Dij to replace Floyd’s algorithm,an improved Isomap method is presented in this paper.Findings-Using the S-curve,the Swiss-roll,the Frey face database,the mixed national institute of standards and technology database of handwritten digits and a face image database,the performance of the proposed method is compared with C-Isomap,showing the consistency with C-Isomap and marked improvements in terms of the high speed.Simulations also demonstrate that Fib-Dij reduces the computation time of the shortest paths from O(N3)to O(N2lgN).Research limitations/implications-Due to the limitations of the computer,the sizes of the data sets in this paper are all smaller than 3,000.Therefore,researchers are encouraged to test the proposed algorithm on larger data sets.Originality/value-The new method based on Fib-Dij can greatly improve the speed of Isomap.展开更多
Purpose-Emitter parameter estimation via signal sorting is crucial for communication,electronic reconnaissance and radar intelligence analysis.However,due to problems of transmitter circuit,environmental noises and ce...Purpose-Emitter parameter estimation via signal sorting is crucial for communication,electronic reconnaissance and radar intelligence analysis.However,due to problems of transmitter circuit,environmental noises and certain unknown interference sources,the estimated emitter parameter measurements are still inaccurate and biased.As a result,it is indispensable to further refine the parameter values.Though the benchmark clustering algorithms are assumed to be capable of inferring the true parameter values by discovering cluster centers,the high computational and communication cost makes them difficult to adapt for distributed learning on massive measurement data.The paper aims to discuss these issues.Design/methodology/approach-In this work,the author brings forward a distributed emitter parameter refinement method based on maximum likelihood.The author’s method is able to infer the underlying true parameter values from the huge measurement data efficiently in a distributed working mode.Findings-Experimental results on a series of synthetic data indicate the effectiveness and efficiency of the author’s method when compared against the benchmark clustering methods.Originality/value-With the refined parameter values,the complex stochastic parameter patterns could be discovered and the emitters could be identified by merging observations of consistent parameter values together.Actually,the author is in the process of applying her distributed parameter refinement method for PRI parameter pattern discovery and emitter identification.The superior performance ensures its wide application in both civil and military fields.展开更多
Purpose:With the demographic increase,especially in big cities,heavy traffic,traffic congestion,road accidents and augmented pollution levels hamper transportation networks.Finding the optimal routes in urban scenario...Purpose:With the demographic increase,especially in big cities,heavy traffic,traffic congestion,road accidents and augmented pollution levels hamper transportation networks.Finding the optimal routes in urban scenarios is very challenging since it should consider reducing traffic jams,optimizing travel time,decreasing fuel consumption and reducing pollution levels accordingly.In this regard,the authors propose an enhanced approach based on the Ant Colony algorithm that allows vehicle drivers to search for optimal routes in urban areas from different perspectives,such as shortness and rapidness.Design/methodology/approach:An improved ant colony algorithm(ACO)is used to calculate the optimal routes in an urban road network by adopting an elitism strategy,a random search approach and a flexible pheromone deposit-evaporate mechanism.In addition,the authors make a trade-off between route length,travel time and congestion level.Findings:Experimental tests show that the routes found using the proposed algorithm improved the quality of the results by 30%in comparison with the ACO algorithm.In addition,the authors maintain a level of accuracy between 0.9 and 0.95.Therefore,the overall cost of the found solutions decreased from 67 to 40.In addition,the experimental results demonstrate that the authors’improved algorithm outperforms not only the original ACO algorithm but also popular meta-heuristic algorithms such as the genetic algorithm(GA)and particle swarm optimization(PSO)in terms of reducing travel costs and improving overall fitness value.Originality/value:The proposed improvements to the ACO to search for optimal paths for urban roads include incorporating multiple factors,such as travel length,time and congestion level,into the route selection process.Furthermore,random search,elitism strategy and flexible pheromone updating rules are proposed to consider the dynamic changes in road network conditions and make the proposed approach more relevant and effective.These enhancements contribute to the originality of the authors’work,and they have the potential to advance the field of traffic routing.展开更多
文摘A new type of machinable bioactive glass-ceramics for bone substitution has been developed in the glass system SiO_2-MgO-K_2O-F^--CaO-P_2O_5, which contains Mg- muscovite [K_2Mg_5 (Si_8O_(20)) F_4] and fluorapatite as the two main crystal phases. The phase separation and the crystallization of the glass have been studied. A series of tests have showed that the material is good at mechanical property and bioactivity. Espe- cially, by analysing the structure of the interface layer between the material and the bone of animal with scanning electron microscope, electron probe, etc., it has been found that the new bone hydroxya- patite is formed on the surface of the material so that the material is connected firmly with the bone.
文摘In this invention, the procedure of cutting, conveying, threshing and transporting stalks are carried out by a set of conveying chains ( see figure). The axis of the main drum 2 is placed horizontally transverse (vertical to the forward direction). The upper and the lower conveying chains 8, 10 as well as cutterbar 11 are mounted in the lower part of the axial feed opening. Several star well 9 and plastic stalk-pressing rod are filled at the front of the lower conveying chain, and a spring stalk pressing assembly at the rear. The residue after threshing is discharged by star seels 18, 34. The staiks are placed near the cutterbar 11. Once the stalks are cut off by the cutterbar, they
文摘Objective To explore the invasion of different types of meningeoma to their surrounding tissue. Methods The specimen from 124 patients with meningeomas,who underwent surgery in Southern Hospital from April 2009 to June 2010 were used to analyze the invasion of different types of meningeomas to their surrounding tissue. All the tumors were resected in the standard of Simposon I. We referred to WHO 2007
基金State Railway Corporation of China Limited under the Science and Technology Research and Development Programme(2021X007)China Academy of Railway Research(2021YJ012)+1 种基金National Natural Science Foundation of China(52302417)Natural Science Foundation of Sichuan Province of China(2023NSFSC0906).
文摘Purpose-The design goal for the tracking interval of high-speed railway trains in China is 3 min,but it is difficult to achieve,and it is widely believed that it is mainly limited by the tracking interval of train arrivals.If the train arrival tracking interval can be compressed,it will be beneficial for China's high-speed railway to achieve a 3-min train tracking interval.The goal of this article is to study how to compress the train arrival tracking interval.Design/methodologylapproach-By simulating the process of dense train groups arriving at the station and stopping,the headway between train arrivals at the station was calculated,and the pattern of train arrival headway was obtained,changing the traditional understanding that the train arrival headway is considered the main factor limiting the headway of trains.Findings-When the running speed of trains is high,the headway between trains is short,the length of the station approach throat area is considerable and frequent train arrivals at the station,the arrival headway for the first group or several groups of trains will exceed the headway,but the subsequent sets of trains will havea headway equal to the arrival headway.This convergence characteristic is obtained by appropriately increasing the running time.Originality/value-According to this pattern,there is no need to overly emphasize the impact of train arrival headway on the headway.This plays an important role in compressing train headway and improving high-speedrailwaycapacity.
基金National Natural Science Foundation of China(No.72071133)Hebei Provincial Department of Education Humanities and Social Science Research Major Projects(No.ZD202309).
文摘Purpose-The spatiotemporal compression effect of China-Europe Railway Express(CR-Express)can reduce the filow costs of resources between China's node cities.Additionally,it can break through the limitations of low-added-value marine products,significantly impacting the logistics industry efficiency.However,there are few literature verifying and analyzing its heterogeneity.This study explores the impact of CR-Express on the efficiency of logistics industry in node cities and analyzes the heterogeneity.Design/methodology/approach-First,this study uses panel data to measure the efficiency of node city logistics industry.Secondiy,this study discusses the impact of the opening of CR-Express on the efficiency of logistics industry in node cities based on the multi-period differential model.Finally,according to the node city difference,the sample city experimental group is grouped for heterogeneity analysis.Findings-The results show that CR-Express can promote the urban logistics industry efficiency,with an average effect of 4.55%.According to the urban characteristics classification,the heterogeneity analysis shows that the efficiency improvement effect of logistics industry in inland cities is more obvious.The improvement effect of node cities and central cities in central and western China is stronger,especially in the sample of megacities and type I big cities.Compared with non-value chain industrial products,the CR-Express has significant promotion effects on the logistics efficiency of the cities where main goods are value chain products.Originality/value-Under the background of double cycle development,this paper can provide a scientific basis for the investment benefit evaluation of CR-Express construction and the follow-up route planning.
基金National Natural Science Foundation of China under Grant 62203468Technological Research and Development Program of China State Railway Group Co.,Ltd.under Grant J2023G007+2 种基金Young Elite Scientist Sponsorship Program by China Association for Science and Technology(CAST)under Grant 2022QNRC001Youth Talent Program Supported by China Railway SocietyResearch Program of Beijing Hua-Tie Information Technology Corporation Limited under Grant 2023HT02.
文摘Purpose-In order to solve the problem of inaccurate calculation of index weights,subjectivity and uncertainty of index assessment in the risk assessment process,this study aims to propose a scientific and reasonable centralized traffic control(CTC)system risk assessment method.Design/methodologylapproach-First,system-theoretic process analysis(STPA)is used to conduct risk analysis on the CTC system and constructs risk assessment indexes based on this analysis.Then,to enhance the accuracy of weight calculation,the fuzzy analytical hierarchy process(FAHP),fuzzy decision-making trial and evaluation laboratory(FDEMATEL)and entropy weight method are employed to calculate the subjective weight,relative weight and objective weight of each index.These three types of weights are combined using game theory to obtain the combined weight for each index.To reduce subjectivity and uncertainty in the assessment process,the backward cloud generator method is utilized to obtain the numerical character(NC)of the cloud model for each index.The NCs of the indexes are then weighted to derive the comprehensive cloud for risk assessment of the CTC system.This cloud model is used to obtain the CTC system's comprehensive risk assessment.The model's similarity measurement method gauges the likeness between the comprehensive risk assessment cloud and the risk standard cloud.Finally,this process yields the risk assessment results for the CTC system.Findings-The cloud model can handle the subjectivity and fuzziness in the risk assessment process well.The cloud model-based risk assessment method was applied to the CTC system risk assessment of a railway group and achieved good results.Originality/value-This study provides a cloud model-based method for risk assessment of CTC systems,which accurately calculates the weight of risk indexes and uses cloud models to reduce uncertainty and subjectivity in the assessment,achieving effective risk assessment of CTC systems.It can provide a reference and theoretical basis for risk management of the CTC system.
基金supported by the Research Major Project of China Academy of Railway Sciences Group Co.,Ltd(Grant No.2021YJ270)the China National Railway Group Science and Technology Program(Grant No.N2022T001).
文摘Purpose-Express freight transportation is in rapid development currently.Owing to the higher speed of express freight train,the deformation of the bridge deck worsens the railway line condition under the action of wind and train moving load when the train runs over a long-span bridge.Besides,the blunt car body of vehicle has poor aerodynamic characteristics,bringing a greater challenge on the running stability in the crosswind.Design/methodology/approach-In this study,the aerodynamic force coefficients of express freight vehicles on the bridge are measured by scale model wind tunnel test.The dynamic model of the train-long-span steel truss bridge coupling system is established,and the dynamic response as well as the running safety of vehicle are evaluated.Findings-The results show that wind speed has a significant influence on running safety,which is mainly reflected in the over-limitation of wheel unloading rate.The wind speed limit decreases with train speed,and it reduces to 18.83 m/s when the train speed is 160 km/h.Originality/value-This study deepens the theoretical understanding of the interaction between vehicles and bridges and proposes new methods for analyzing similar engineering problems.It also provides a new theoretical basis for the safety assessment of express freight trains.
文摘Purpose–The purpose of this study is to study the quantitative evaluation method of contact wire cracks by analyzing the changing law of eddy current signal characteristics under different cracks of contact wire of high-speed railway so as to provide a new way of thinking and method for the detection of contact wire injuries of high-speed railway.Design/methodology/approach–Based on the principle of eddy current detection and the specification parameters of high-speed railway contact wires in China,a finite element model for eddy current testing of contact wires was established to explore the variation patterns of crack signal characteristics in numerical simulation.A crack detection system based on eddy current detection was built,and eddy current detection voltage data was obtained for cracks of different depths and widths.By analyzing the variation law of eddy current signals,characteristic parameters were obtained and a quantitative evaluation model for crack width and depth was established based on the back propagation(BP)neural network.Findings–Numerical simulation and experimental detection of eddy current signal change rule is basically consistent,based on the law of the selected characteristics of the parameters in the BP neural network crack quantitative evaluation model also has a certain degree of effectiveness and reliability.BP neural network training results show that the classification accuracy for different widths and depths of the classification is 100 and 85.71%,respectively,and can be effectively realized on the high-speed railway contact line cracks of the quantitative evaluation classification.Originality/value–This study establishes a new type of high-speed railway contact wire crack detection and identification method,which provides a new technical means for high-speed railway contact wire injury detection.The study of eddy current characteristic law and quantitative evaluation model for different cracks in contact line has important academic value and practical significance,and it has certain guiding significance for the detection technology of contact line in high-speed railway.
文摘Purpose-The purpose of this paper is to eliminate the fluctuations in train arrival and departure times caused by skewed distributions in interval operation times.These fluctuations arise from random origin and process factors during interval operations and can accumulate over multiple intervals.The aim is to enhance the robustness of high-speed rail station arrival and departure track utilization schemes.Design/methodologylapproach-To achieve this objective,the paper simulates actual train operations,incorporating the fluctuations in interval operation times into the utilization of arrival and departure tracks at the station.The Monte Carlo simulation method is adopted to solve this problem.This approach transforms a nonlinear model,which includes constraints from probability distribution functions and is difficult to solve directly,into a linear programming model that is easier to handle.The method then linearly weights two objectives to optimize the solution.Findings-Through the application of Monte Carlo simulation,the study successfully converts the complex nonlinear model with probability distribution function constraints into a manageable linear programming model.By continuously adjusting the weighting coefficients of the linear objectives,the method is able to optimize the Pareto solution.Notably,this approach does not require extensive scene data to obtain a satisfactory Pareto solution set.Originality/value-The paper contributes to the field by introducing a novel method for optimizing high-speed rail station arrival and departure track utilization in the presence of fluctuations in interval operation times.The use of Monte Carlo simulation to transform the problem into a tractable linear programming model represents a significant advancement.Furthermore,the method's ability to produce satisfactory Pareto solutions without relying on extensive data sets adds to its practical value and applicability in real-world scenarios.
基金supported by the National Key R&D Program of China(No.2020YFF0304101).
文摘Purpose–With the yearly increase of mileage and passenger volume in China’s high-speed railway,the problems of traditional paper railway tickets have become increasingly prominent,including complexity of business handling process,low efficiency of ticket inspection and high cost of usage and management.This paper aims to make extensive references to successful experiences of electronic ticket applications both domestically and internationally.The research on key technologies and system implementation of railway electronic ticket with Chinese characteristics has been carried out.Design/methodology/approach–Research in key technologies is conducted including synchronization technique in distributed heterogeneous database system,the grid-oriented passenger service record(PSR)data storage model,efficient access to massive PSR data under high concurrency condition,the linkage between face recognition service platforms and various terminals in large scenarios,and two-factor authentication of the e-ticket identification code based on the key and the user identity information.Focusing on the key technologies and architecture the of existing ticketing system,multiple service resources are expanded and developed such as electronic ticket clusters,PSR clusters,face recognition clusters and electronic ticket identification code clusters.Findings–The proportion of paper ticket printed has dropped to 20%,saving more than 2 billion tickets annually since the launch of the application of E-ticketing nationwide.The average time for passengers to pass through the automatic ticket gates has decreased from 3 seconds to 1.3 seconds,significantly improving the efficiency of passenger transport organization.Meanwhile,problems of paper ticket counterfeiting,reselling and loss have been generally eliminated.Originality/value–E-ticketing has laid a technical foundation for the further development of railway passenger transport services in the direction of digitalization and intelligence.
基金supported by the Natural Science Foundation of Jiangsu Province of China(Grant No.BK20150851)the Research Innovation Program for College Graduates of Jiangsu Province(Grant No.CXLX13_09)+2 种基金funded by the China Postdoctoral Science Foundation(Grant No.2015M581842)sponsored by NUPTSF(Grant No.NY215011)funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
文摘Purpose-The paper aims to build the connections between game theory and the resource allocation problem with general uncertainty.It proposes modeling the distributed resource allocation problem by Bayesian game.During this paper,three basic kinds of uncertainties are discussed.Therefore,the purpose of this paper is to build the connections between game theory and the resource allocation problem with general uncertainty.Design/methodology/approach-In this paper,the Bayesian game is proposed for modeling the resource allocation problem with uncertainty.The basic game theoretical model contains three parts:agents,utility function,and decision-making process.Therefore,the probabilistic weighted Shapley value(WSV)is applied to design the utility function of the agents.For achieving the Bayesian Nash equilibrium point,the rational learning method is introduced for optimizing the decision-making process of the agents.Findings-The paper provides empirical insights about how the game theoretical model deals with the resource allocation problem uncertainty.A probabilistic WSV function was proposed to design the utility function of agents.Moreover,the rational learning was used to optimize the decision-making process of agents for achieving Bayesian Nash equilibrium point.By comparing with the models with full information,the simulation results illustrated the effectiveness of the Bayesian game theoretical methods for the resource allocation problem under uncertainty.Originality/value-This paper designs a Bayesian theoretical model for the resource allocation problem under uncertainty.The relationships between the Bayesian game and the resource allocation problem are discussed.
文摘Purpose-The purpose of this paper is to propose radiating system by avoiding electromagnetic interference in unwanted directions and to radiate the energy in the required direction with an optimization technique.Design/methodology/approach-Practically,multiple,incompatible variables require concurrent boost on a synthesis of systematic antenna assemblage.The authors have worked out the main statistic penalty function to ensure all the restrictions.Here,MBPSO(Modified Binary Particle Swarm Optimization)is developed and introduced thin planar synthesis restriction.The sigmoid function is used to update the particle position.Different analytical demonstrations have been carried out,and the exhibited methods are predominant than the algorithms.Findings-A 20310 planar antenna array is synthesized using modified BPSO.The authors have suppressed the PSLL in two principal planes and as well as in the entire f plane.Numerical results state that MBPSO outperforms the other binary BPSO,BCSO,ACO,RGA,GAoptimization techniques.MBPSO achieved a51.84 dB PSLL level,whereas BPSO achieved48.57 dB with the same 50%thinning.Originality/value-Planar array antenna formation is one of the most complex syntheses because the array gets filled with more antenna elements.The machine-like complication and implementation of such an antenna arrangement with a broad opening would be expensive.It is not easy to control the required radiation patterns shape by using a uniform feeding network.To get better flexibility for sustaining the sidelobe levelheaded along with consistent amplitude distribution.So as far as prominence has been given to the evolutionary algorithm,find an ideal solution for objective array combinational problems.
文摘Purpose-The purpose of this paper is to improve energy efficiency and further reduction of side lobe level the algorithm proposed is firework algorithm.In this paper,roused by the eminent swarm conduct of firecrackers,a novel multitude insight calculation called fireworks algorithm(FA)is proposed for work enhancement.The FA is introduced and actualized by mimicking the blast procedure of firecrackers.In the FA,two blast(search)forms are utilized and systems for keeping decent variety of sparkles are likewise all around planned.To approve the presentation of the proposed FA,correlation tests were led on nine benchmark test capacities among the FA,the standard PSO(SPSO)and the clonal PSO(CPSO).Design/methodology/approach-The antenna arrays are used to improve the capacity and spectral efficiency of wireless communication system.The latest communication systems use the antenna array technology to improve the spectral efficiency,fill rate and the energy efficiency of the communication system can be enhanced.One of the most important properties of antenna array is beam pattern.A directional main lobe with low side lobe level(SLL)of the beam pattern will reduce the interference and enhance the quality of communication.The classical methods for reducing the side lobe level are differential evolution algorithm and PSO algorithm.In this paper,roused by the eminent swarm conduct of firecrackers,a novel multitude insight calculation called fireworks algorithm(FA)is proposed for work enhancement.The FA is introduced and actualized by mimicking the blast procedure of firecrackers.In the FA,two blast(search)forms are utilized and systems for keeping decent variety of sparkles are likewise all around planned.To approve the presentation of the proposed FA,correlation tests were led on nine benchmark test capacities among the FA,the standard PSO(SPSO)and the clonal PSO(CPSO).It is demonstrated that the FA plainly beats the SPSO and the CPSO in both enhancement exactness and combination speed.The results convey that the side lobe level is reduced to34.78dB and fill rate is increased to 78.53.Findings-Samples including 16-element LAAs are conducted to verify the optimization performances of the SLL reductions.Simulation results show that the SLLs can be effectively reduced by FA.Moreover,compared with other benchmark algorithms,fireworks has a better performance in terms of the accuracy,the convergence rate and the stability.Research limitations/implications-With the use of algorithms radiation is prone to noise one way or other.Even with any optimizations we cannot expect radiation to be ideal.Power dissipation or electro magnetic interference is bound to happen,but the use of optimization algorithms tries to reduce them to the extent that is possible.Practical implications-16-element linear antenna array is available with latest versions of Matlab.Social implications-The latest technologies and emerging developments in the field of communication and with exponential growth in users the capacity of communication system has bottlenecks.The antenna arrays are used to improve the capacity and spectral efficiency of wireless communication system.The latest communication systems use the antenna array technology which is to improve the spectral efficiency,fill rate and the energy efficiency of the communication system can be enhanced.Originality/value-By using FA,the fill rate is increased to 78.53 and the side lobe level is reduced to 35dB,when compared with the bench mark algorithms.
文摘Purpose–This study aims to study the connected vehicle(CV)impact on highway operational performance under a mixed CV and regular vehicle(RV)environment.Design/methodology/approach–The authors implemented a mixed trafficflow model,along with a CV speed control model,in the simulation environment.According to the different traffic characteristics between CVs and RVs,this researchfirst analyzed how the operation of CVs can affect highway capacity under both one-lane and multi-lane cases.A hypothesis was then made that there shall exist a critical CV penetration rate that can significantly show the benefit of CV to the overall traffic.To prove this concept,this study simulated the mixed traffic pattern under various conditions.Findings–The results of this research revealed that performing optimal speed control to CVs will concurrently benefit RVs by improving highway capacity.Furthermore,a critical CV penetration rate should exist at a specified traffic demand level,which can significantly reduce the speed difference between RVs and CVs.The results offer effective insight to understand the potential impacts of different CV penetration rates on highway operation performance.Originality/value–This approach assumes that there shall exist a critical CV penetration rate that can maximize the benefits of CV implementations.CV penetration rate(the proportion of CVs in mixed traffic)is the key factor affecting the impacts of CV on freeway operational performance.The evaluation criteria for freeway operational performance are using average travel time under different given traffic demand patterns.
文摘Purpose-The paper aims to introduce an efficient routing algorithm for wireless sensor networks(WSNs).It proposes an improved evaporation rate water cycle(improved ER-WC)algorithm and outlining the systems performance in improving the energy efficiency of WSNs.The proposed technique mainly analyzes the clustering problem of WSNs when huge tasks are performed.Design/methodology/approach-This proposed improved ER-WC algorithm is used for analyzing various factors such as network cluster-head(CH)energy,CH location and CH density in improved ER-WCA.The proposed study will solve the energy efficiency and improve network throughput in WSNs.Findings-This proposed work provides optimal clustering method for Fuzzy C-means(FCM)where efficiency is improved in WSNs.Empirical evaluations are conducted to find network lifespan,network throughput,total network residual energy and network stabilization.Research limitations/implications-The proposed improved ER-WC algorithm has some implications when different energy levels of node are used in WSNs.Practical implications-This research work analyzes the nodes’energy and throughput by selecting correct CHs in intra-cluster communication.It can possibly analyze the factors such as CH location,network CH energy and CH density.Originality/value-This proposed research work proves to be performing better for improving the network throughput and increases energy efficiency for WSNs.
文摘Purpose–According to the Indian Sign Language Research and Training Centre(ISLRTC),India has approximately 300 certified human interpreters to help people with hearing loss.This paper aims to address the issue of Indian Sign Language(ISL)sentence recognition and translation into semantically equivalent English text in a signer-independent mode.Design/methodology/approach–This study presents an approach that translates ISL sentences into English text using the MobileNetV2 model and Neural Machine Translation(NMT).The authors have created an ISL corpus from the Brown corpus using ISL grammar rules to perform machine translation.The authors’approach converts ISL videos of the newly created dataset into ISL gloss sequences using the MobileNetV2 model and the recognized ISL gloss sequence is then fed to a machine translation module that generates an English sentence for each ISL sentence.Findings–As per the experimental results,pretrained MobileNetV2 model was proven the best-suited model for the recognition of ISL sentences and NMT provided better results than Statistical Machine Translation(SMT)to convert ISL text into English text.The automatic and human evaluation of the proposed approach yielded accuracies of 83.3 and 86.1%,respectively.Research limitations/implications–It can be seen that the neural machine translation systems produced translations with repetitions of other translated words,strange translations when the total number of words per sentence is increased and one or more unexpected terms that had no relation to the source text on occasion.The most common type of error is the mistranslation of places,numbers and dates.Although this has little effect on the overall structure of the translated sentence,it indicates that the embedding learned for these few words could be improved.Originality/value–Sign language recognition and translation is a crucial step toward improving communication between the deaf and the rest of society.Because of the shortage of human interpreters,an alternative approach is desired to help people achieve smooth communication with the Deaf.To motivate research in this field,the authors generated an ISL corpus of 13,720 sentences and a video dataset of 47,880 ISL videos.As there is no public dataset available for ISl videos incorporating signs released by ISLRTC,the authors created a new video dataset and ISL corpus.
基金supported by Technical Education Quality Improvement Programme(TEQIP-III)The project is implemented by NPIU which is a unit of MHRD,Govt of India for implementation of World Bank Assisted Projects in Technical Education。
文摘Purpose-The trend of“Deep Learning for Internet of Things(IoT)”has gained fresh momentum with enormous upcoming applications employing these models as their processing engine and Cloud as their resource giant.But this picture leads to underutilization of ever-increasing device pool of IoT that has already passed 15 billion mark in 2015.Thus,it is high time to explore a different approach to tackle this issue,keeping in view the characteristics and needs of the two fields.Processing at the Edge can boost applications with realtime deadlines while complementing security.Design/methodology/approach-This review paper contributes towards three cardinal directions of research in the field of DL for IoT.The first section covers the categories of IoT devices and how Fog can aid in overcoming the underutilization of millions of devices,forming the realm of the things for IoT.The second direction handles the issue of immense computational requirements of DL models by uncovering specific compression techniques.An appropriate combination of these techniques,including regularization,quantization,and pruning,can aid in building an effective compression pipeline for establishing DL models for IoT use-cases.The third direction incorporates both these views and introduces a novel approach of parallelization for setting up a distributed systems view of DL for IoT.Findings-DL models are growing deeper with every passing year.Well-coordinated distributed execution of such models using Fog displays a promising future for the IoT application realm.It is realized that a vertically partitioned compressed deep model can handle the trade-off between size,accuracy,communication overhead,bandwidth utilization,and latency but at the expense of an additionally considerable memory footprint.To reduce the memory budget,we propose to exploit Hashed Nets as potentially favorable candidates for distributed frameworks.However,the critical point between accuracy and size for such models needs further investigation.Originality/value-To the best of our knowledge,no study has explored the inherent parallelism in deep neural network architectures for their efficient distribution over the Edge-Fog continuum.Besides covering techniques and frameworks that have tried to bring inference to the Edge,the review uncovers significant issues and possible future directions for endorsing deep models as processing engines for real-time IoT.The study is directed to both researchers and industrialists to take on various applications to the Edge for better user experience.
基金supported by the National Natural Science Foundation of China under Grant Nos 91220301,61273314 and 61175064.
文摘Purpose-Isometric feature mapping(Isomap)is a very popular manifold learning method and is widely used in dimensionality reduction and data visualization.The most time-consuming step in Isomap is to compute the shortest paths between all pairs of data points based on a neighbourhood graph.The classical Isomap(C-Isomap)is very slow,due to the use of Floyd’s algorithm to compute the shortest paths.The purpose of this paper is to speed up Isomap.Design/methodology/approach-Through theoretical analysis,it is found that the neighbourhood graph in Isomap is sparse.In this case,the Dijkstra’s algorithm with Fibonacci heap(Fib-Dij)is faster than Floyd’s algorithm.In this paper,an improved Isomap method based on Fib-Dij is proposed.By using Fib-Dij to replace Floyd’s algorithm,an improved Isomap method is presented in this paper.Findings-Using the S-curve,the Swiss-roll,the Frey face database,the mixed national institute of standards and technology database of handwritten digits and a face image database,the performance of the proposed method is compared with C-Isomap,showing the consistency with C-Isomap and marked improvements in terms of the high speed.Simulations also demonstrate that Fib-Dij reduces the computation time of the shortest paths from O(N3)to O(N2lgN).Research limitations/implications-Due to the limitations of the computer,the sizes of the data sets in this paper are all smaller than 3,000.Therefore,researchers are encouraged to test the proposed algorithm on larger data sets.Originality/value-The new method based on Fib-Dij can greatly improve the speed of Isomap.
基金supported by National Natural Science Foundation of China under Grant No.61402426partially supported by Collaborative Innovation Center of Novel Software Technology and Industrialization.
文摘Purpose-Emitter parameter estimation via signal sorting is crucial for communication,electronic reconnaissance and radar intelligence analysis.However,due to problems of transmitter circuit,environmental noises and certain unknown interference sources,the estimated emitter parameter measurements are still inaccurate and biased.As a result,it is indispensable to further refine the parameter values.Though the benchmark clustering algorithms are assumed to be capable of inferring the true parameter values by discovering cluster centers,the high computational and communication cost makes them difficult to adapt for distributed learning on massive measurement data.The paper aims to discuss these issues.Design/methodology/approach-In this work,the author brings forward a distributed emitter parameter refinement method based on maximum likelihood.The author’s method is able to infer the underlying true parameter values from the huge measurement data efficiently in a distributed working mode.Findings-Experimental results on a series of synthetic data indicate the effectiveness and efficiency of the author’s method when compared against the benchmark clustering methods.Originality/value-With the refined parameter values,the complex stochastic parameter patterns could be discovered and the emitters could be identified by merging observations of consistent parameter values together.Actually,the author is in the process of applying her distributed parameter refinement method for PRI parameter pattern discovery and emitter identification.The superior performance ensures its wide application in both civil and military fields.
文摘Purpose:With the demographic increase,especially in big cities,heavy traffic,traffic congestion,road accidents and augmented pollution levels hamper transportation networks.Finding the optimal routes in urban scenarios is very challenging since it should consider reducing traffic jams,optimizing travel time,decreasing fuel consumption and reducing pollution levels accordingly.In this regard,the authors propose an enhanced approach based on the Ant Colony algorithm that allows vehicle drivers to search for optimal routes in urban areas from different perspectives,such as shortness and rapidness.Design/methodology/approach:An improved ant colony algorithm(ACO)is used to calculate the optimal routes in an urban road network by adopting an elitism strategy,a random search approach and a flexible pheromone deposit-evaporate mechanism.In addition,the authors make a trade-off between route length,travel time and congestion level.Findings:Experimental tests show that the routes found using the proposed algorithm improved the quality of the results by 30%in comparison with the ACO algorithm.In addition,the authors maintain a level of accuracy between 0.9 and 0.95.Therefore,the overall cost of the found solutions decreased from 67 to 40.In addition,the experimental results demonstrate that the authors’improved algorithm outperforms not only the original ACO algorithm but also popular meta-heuristic algorithms such as the genetic algorithm(GA)and particle swarm optimization(PSO)in terms of reducing travel costs and improving overall fitness value.Originality/value:The proposed improvements to the ACO to search for optimal paths for urban roads include incorporating multiple factors,such as travel length,time and congestion level,into the route selection process.Furthermore,random search,elitism strategy and flexible pheromone updating rules are proposed to consider the dynamic changes in road network conditions and make the proposed approach more relevant and effective.These enhancements contribute to the originality of the authors’work,and they have the potential to advance the field of traffic routing.
