This paper combines a variety of physicochemical nondestructive techniques to obtain a knowledge of the chemical and mineralogical composition of the scarce fossil bones from the Húmera paleontological site(Madri...This paper combines a variety of physicochemical nondestructive techniques to obtain a knowledge of the chemical and mineralogical composition of the scarce fossil bones from the Húmera paleontological site(Madrid,Spain).The main classification of the samples has distinguished six colors:red,gray,blue,white,light yellow and green.μ-XRD and Raman spectroscopy have been correlated to study the structure and to distinguish between fluorapatite,chlorapatite,bioapatite and carbonated bones.The bones have further been classified in three main types.Type I includes gray,green,white,and blue samples,classified as fluorapatite and chlorapatite containing organic matter and adsorbed water.Type II,includes the red sample classified as bioapatite,showing broad Raman bands andμ-XRD peaks due to the lattice disorder created by the B-type substitutions emerging from a high matter content.Type III sample(yellow)shows a complete replacement of apatite by calcite which induce the high porosity of the sample.Diagenetic changes add further complexity to the structure of fossil bones,not only by new ionic substitutions but also in terms of biogenic or authigenic phases that form in the fossilizing bone.The multi-technique approach from a broad interdisciplinary perspective enables a better understanding of bone fossilization.展开更多
Coordinated multi-point transmission/reception, CoMP, technique converts the interference signal into the useful information by controlling the interfering signals among adjacent cells. Theoretically, it is a breakthr...Coordinated multi-point transmission/reception, CoMP, technique converts the interference signal into the useful information by controlling the interfering signals among adjacent cells. Theoretically, it is a breakthrough from the traditional interference limited non-cooperative single point transmission system, improving link reliability and enhancing the data rate. CoMP is regarded as one of the most essential and effective techniques in eliminating the inter-cell interference, boosting cell edge throughput and overall system throughput. CoMP technique has obvious advantages in TDD(time division duplexing) cellular mobile system; the necessary channel state information for CoMP can be easily obtained through channel reciprocity property in TDD system. CoMP scheme in TDD system and likely problems are analyzed in this paper, and it is shown by system simulations that the significant gain can be achieved.展开更多
Coherent beam combination of two W-level fiber amplifiers with multi-dithering technique is demonstrated.In the experiment,the master laser is split into two channels.Multi-dithering technique is used for phase contro...Coherent beam combination of two W-level fiber amplifiers with multi-dithering technique is demonstrated.In the experiment,the master laser is split into two channels.Multi-dithering technique is used for phase control.One channel is modulated with a 100 kHz sine wave produced by signal generator,and DSP lock-in amplifier is used for electric signal processing in the feedback loop.When the phase control loop is off,the far field interference pattern is blurred and dynamic with 20% fringe contrast.When the f...展开更多
Aimed at improving the insufficient search ability of constraint differential evolution with single constraint handling technique when solving complex optimization problem, this paper proposes a constraint differentia...Aimed at improving the insufficient search ability of constraint differential evolution with single constraint handling technique when solving complex optimization problem, this paper proposes a constraint differential evolution algorithm?based on ensemble of constraint handling techniques and multi-population?framework, called ECMPDE. First, handling three improved variants of differential evolution algorithms are dynamically matched with two constraint handling techniques through the constraint allocation mechanism. Each combination includes three variants with corresponding constraint handling technique?and these combinations are in the set. Second, the population is divided into three smaller subpopulations and one larger reward subpopulation. Then a combination with three constraint algorithms is randomly selected from the set, and the three constraint algorithms are run in three sub-populations respectively. According to the improvement of fitness value, the optimal constraint?algorithm is selected to run on the reward sub-population, which can share?information and close cooperation among populations. In order to verify the effectiveness of the proposed algorithm, 12 standard constraint optimization problems?and 10 engineering constraint optimization problems are tested. The experimental results show that ECMPDE is an effective algorithm for solving constraint optimization problems.展开更多
Correction to:Nuclear Science and Techniques(2025)36:100 https://doi.org/10.1007/s41365-025-01692-6 In this article,Fig.9 appeared incorrectly and have now been corrected in the original publication.For completeness a...Correction to:Nuclear Science and Techniques(2025)36:100 https://doi.org/10.1007/s41365-025-01692-6 In this article,Fig.9 appeared incorrectly and have now been corrected in the original publication.For completeness and transparency,both correct and incorrect versions are displayed below.展开更多
The shrinkage of the cement paste with low water-cement ratio at different relative humidity was observed and analyzed with ESEM and deformation map technique.The crack morphology was observed with different magnifica...The shrinkage of the cement paste with low water-cement ratio at different relative humidity was observed and analyzed with ESEM and deformation map technique.The crack morphology was observed with different magnification with SEM and FESEM,and the formation of the crack was observed with AFM between two C-S-H nano particles.The observation by multi technique at multi scale indicated that the shrinkage was increase with the decrease of the humidity due to the increase of the pressure of the capillary pressure,the morphology of the crack in smaller scale was similar to that in the bigger scale,the smaller crack distributed in the latticework of the bigger ones,and the crack propagated along the gap between two nano particles of C-S-H with weaker bonding.展开更多
English Language teaching involves various English teaching techniques in terms of listening,speaking,reading,writ ing and the like skills.Traditional teaching ways are mostly discussed from that standpoint.Here,some ...English Language teaching involves various English teaching techniques in terms of listening,speaking,reading,writ ing and the like skills.Traditional teaching ways are mostly discussed from that standpoint.Here,some new English classroom teaching techniques are introduced and evaluated in a dimensional perspective,which relate to such elements as the students,the teacher,classroom organization and management,and instructional strategies,etc.It makes English classroom teaching more effec tive,thus improve English classroom teaching results.So,it’s advisable for English teachers to reconsider and reevaluate their teaching strategy and result in language classroom from a new multi-dimensional angle in order to improve English teaching effi ciency.展开更多
The reformation of the economy system has led the f un ctional department and status of the enterprises into a variable state. Under th e condition of the market economy, the kernel of the enterprises’ functional dep...The reformation of the economy system has led the f un ctional department and status of the enterprises into a variable state. Under th e condition of the market economy, the kernel of the enterprises’ functional dep artment has diverted to that of marketing decision-making, which face to market and meet with the need of consumption. Assuredly, the kernel of marketing decis ion-making is to prognosticate the future market demand of the production of en terprises accurately, so that it can ensure and realize the maximum of the enter prises’ profit increase. Using empirical research and the multi-regression technique, this paper ana lyzes the enterprises’ production demand forecast of the GMC (Global Management Challenge, held every year globally) and changes most of uncontrollable factors of demand forecast to the controllable ones of the enterprises. The method we us ed to forecast demand by using the multi-regression technique is as follows: 1. Look for the main factors which influence the demand of productions; 2. Establish the regression model; 3. Using the historical data, find the resolution of the correlative index an d do the prominent test; 4. Analyze and compare, regression, adjust parameter and optimize the regress ion model. Our method will make the forecast data closer to the actual prices of the future market requirement quantity in the production marketing decision-making of the enterprises and realize the optimizing combination and the working object w ith the minimum of the cost and the maximum of the profit. And it can ensure the realization of the equity maximum of the enterprises and increase the lifecycle of the production.展开更多
The paper evaluates the suitability of examples used in developing averaging techniques of multi-objective optimization (MOO). Most of the examples used for proposing these techniques were not suitable. The results of...The paper evaluates the suitability of examples used in developing averaging techniques of multi-objective optimization (MOO). Most of the examples used for proposing these techniques were not suitable. The results of these examples have also not been interpreted correctly. An appropriate example has also been solved with existing and improved averaging techniques of multi-objective optimization.展开更多
Higher order statistical features have been recently proved to be very efficient in the classification of wideband communications and radar signals with great accuracy. On the other hand, the denoising properties of t...Higher order statistical features have been recently proved to be very efficient in the classification of wideband communications and radar signals with great accuracy. On the other hand, the denoising properties of the wavelet transform make WT an efficient signal processing tool in noisy environments. A novel technique for the classification of multi-user chirp modulation signals is presented in this paper. A combination of the higher order moments and cumulants of the wavelet coefficients as well as the peaks of the bispectrum and its bi-frequencies are proposed as effective features. Different types of artificial intelligence based classifiers and clustering techniques are used to identify the chirp signals of the different users. In particular, neural networks (NN), maximum likelihood (ML), k-nearest neighbor (KNN) and support vector machine (SVMs) classifiers as well as fuzzy c-means (FCM) and fuzzy k-means (FKM) clustering techniques are tested. The Simulation results show that the proposed technique is able to efficiently classify the different chirp signals in additive white Gaussian noise (AWGN) channels with high accuracy. It is shown that the NN classifier outperforms other classifiers. Also, the simulations prove that the classification based on features extracted from wavelet transform results in more accurate results than that using features directly extracted from the chirp signals, especially at low values of signal-to-noise ratios.展开更多
In Wireless Sensor Network (WSNs), sensor nodes collect data and send them to a Base Station (BS) for further processing. One of the most issues in WSNs that researchers have proposed a hundred of technique to solve i...In Wireless Sensor Network (WSNs), sensor nodes collect data and send them to a Base Station (BS) for further processing. One of the most issues in WSNs that researchers have proposed a hundred of technique to solve its impact is the energy constraint since sensor nodes have small battery, small memory and less data processing with low computational capabilities. However, many researches efforts have focused on how to prolong the battery lifetime of sensor nodes by proposing different routing, MAC, localization, data aggregation, topology construction techniques. In this paper, we will focus on routing techniques which aim to prolonging the network lifetime. Hence, we propose an Energy-Efficient Routing technique in WSNs based on Stationary and Mobile nodes (EERSM). Sensing filed is divided into intersected circles which contain Mobile Nodes (MN). The proposed data aggregation technique via the circular topology will eliminate the redundant data to be sent to the Base Station (BS). MN in each circle will rout packets for their source nodes, and move to the intersected area where another MN is waiting (sleep mode) to receive the transmitted packet, and then the packet will be delivered to the next intersected area until the packet is arrived to the BS. Our proposed EERSM technique is simulated using MATLAB and compared with conventional multi-hop techniques under different network models and scenarios. In the simulation, we will show how the proposed EERSM technique overcomes many routing protocols in terms of the number of hops counted when sending packets from a source node to the destination (i.e. BS), the average residual energy, number of sent packets to the BS, and the number of a live sensor nodes verse the simulation rounds.展开更多
The study deals with the multi-choice mathematical programming problem, where the right hand side of the constraints is multi-choice in nature. However, the problem of multi-choice linear programming cannot be solved ...The study deals with the multi-choice mathematical programming problem, where the right hand side of the constraints is multi-choice in nature. However, the problem of multi-choice linear programming cannot be solved directly by standard linear or nonlinear programming techniques. The aim of this paper is to transform such problems to a standard mathematical linear programming problem. For each constraint, exactly one parameter value is selected out of a multiple number of parameter values. This process of selection can be established in different ways. In this paper, we present a new simple technique enabling us to handle such problem as a mixed integer linear programming problem and consequently solve them by using standard linear programming software. Our main aim depends on inserting a specific number of binary variables and using them to construct a linear combination which gives just one parameter among the multiple choice values for each choice of the values of the binary variables. A numerical example is presented to illustrate our analysis.展开更多
Contactless measurement of wind flow has been utilized in many fields, such as weather forecasting, hurricane tracking, and aeronautic alarm. In this paper, a novel multi-laser beams measuring system （MLBM） for high...Contactless measurement of wind flow has been utilized in many fields, such as weather forecasting, hurricane tracking, and aeronautic alarm. In this paper, a novel multi-laser beams measuring system （MLBM） for high precision detection of wind field based on optical scintillations and small perturbation theory was proposed and verified. According to the fluctuation intensity of laser backscatter received by two detectors, peak delay technique was adopted to determine the velocity of wind flow. Detailed procedure to deal with backscatter signals was also presented. Then, practical experiments and measurement results showed high precision of the proposed system for wind measurement with a relative error as 3.21%. Consequently, the MLBM system possesses obvious potential application in engineering project.展开更多
Objective To assess the diagnostic value of the airway post-processing technique of multi-slice spiral CT(MSCT)in accessory cardiac bronchus(ACB)and to improve the understanding of this disease.Methods The original MS...Objective To assess the diagnostic value of the airway post-processing technique of multi-slice spiral CT(MSCT)in accessory cardiac bronchus(ACB)and to improve the understanding of this disease.Methods The original MSCT axial images and various post-processing reconstructed images of 9 ACB cases were retrospectively analyzed.Airway post-processing techniques,including multi-planar reformation(MPR),minimum intensity projection(MinIP),volume rendering technique(VRT),CT virtual endoscopy(CTVE)and tissue transition projection(TTP),were employed.Three-dimensional recombination images of bronchial trees were obtained and classified according to the Mangiulea classification.Results Among the 9 cases with ACB,there were 6 cases of accessory-lobed type,3 cases of long diverticular type,and no cases of short diverticular type.The lateral axial images,MPR,MinIP,VRT,CTVE,and TTP all clearly displayed ACB.Among the 6 cases of accessorylobed type,there were 5 cases with accessory lobe dysplasia and one case with pneumonia in an accessory lobe.One case was complicated with accessory lobe emphysema.Among the 3 cases with long diverticular type ACB,one had pneumonia.Among the 9 cases,there was 1 case with old tuberculous focus,1 case with pulmonary fibrous focus,1 case with pleural thickening and adhesion,and 1 case with tracheal diverticulum.Conclusion The airway post-processing technique of MSCT can not only clarify the diagnosis,origin and classification of ACB,but also measure the opening diameter,length and distance to the tracheal carina of ACB.It guides clinical treatment and tracheoscopy,etc,and can be used as the preferred examination method for ACB.展开更多
Electric vehicles are in demand in recent days due to depleting conventional energy resources. Electric vehicles which are environmental friendly are set to increase on road in coming days. The Electric vehicles which...Electric vehicles are in demand in recent days due to depleting conventional energy resources. Electric vehicles which are environmental friendly are set to increase on road in coming days. The Electric vehicles which consist of electric drive systems are made up of electric motors, inverters and batteries. There is a need to increase their output quality while decreasing their size and cost. The multilevel inverter plays a vital role in improving the quality of the output voltage of the inverter. This paper presents the implementation of Elliptical Phase Disposition Pulse Width Modulation (EPD PWM) technique for higher level of Cascaded H-Bridge Multi Level Inverter (CHBMLI). The performance of 5, 7 and 9-level CHBMLI with proposed EPD PWM scheme is analyzed for three-phase RL-load. The simulation results prove that the voltage %THD reduces from 28.09 to 12.85 to 9.69 and current %THD reduces from 25.58 to 10.22 to 9.42 as the number of inverter output level increases from 5-7-9 level respectively. The simulation is carried out on MATLAB/ SIMULINK platform and the results were compared with conventional method to validate the proposed scheme. The simulation results prove that the novel EPD-PWM technique can be used to effectively control the CBHMLI.展开更多
In this paper, the problem of optimum allocation of repairable and replaceable components in a system is formulated as a Bi-objective stochastic non linear programming problem. The system maintenance time and cost are...In this paper, the problem of optimum allocation of repairable and replaceable components in a system is formulated as a Bi-objective stochastic non linear programming problem. The system maintenance time and cost are random variable and has gamma and normal distribution respectively. A Bi-criteria optimization technique, weighted Tchebycheff is used to obtain the optimum allocation for a system. A numerical example is also presented to illustrate the computational details.展开更多
Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual agents.However,in high‐dimensional continuous spaces,the non‐stationary environment can provide outdated experi...Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual agents.However,in high‐dimensional continuous spaces,the non‐stationary environment can provide outdated experiences that hinder convergence,resulting in ineffective training performance for multi‐agent systems.To tackle this issue,a novel reinforcement learning scheme,Mutual Information Oriented Deep Skill Chaining(MioDSC),is proposed that generates an optimised cooperative policy by incorporating intrinsic rewards based on mutual information to improve exploration efficiency.These rewards encourage agents to diversify their learning process by engaging in actions that increase the mutual information between their actions and the environment state.In addition,MioDSC can generate cooperative policies using the options framework,allowing agents to learn and reuse complex action sequences and accelerating the convergence speed of multi‐agent learning.MioDSC was evaluated in the multi‐agent particle environment and the StarCraft multi‐agent challenge at varying difficulty levels.The experimental results demonstrate that MioDSC outperforms state‐of‐the‐art methods and is robust across various multi‐agent system tasks with high stability.展开更多
The search operation of spatial data was a principal operation in existent spatial database management system, but the update operation of spatial data such as tracking are occurring frequently in the spatial database...The search operation of spatial data was a principal operation in existent spatial database management system, but the update operation of spatial data such as tracking are occurring frequently in the spatial database management system recently. So, necessity of concurrency improvement among transactions is increasing. In general database management system, many techniques have been studied to solve concurrency problem of transaction. Among them, multi version algorithm does to minimize interference among transactions. However, to apply existent multi version algorithm to improve concurrency of transaction to spatial database management system, the waste of storage happens because it must store entire version for spatial record even if only aspatial data of spatial record is changed. This paper has proposed the record management techniques to manage separating aspatial data version and spatial data version to decrease waste of storage for record version and improve concurrency among transactions.展开更多
基金supported by the Ministry of Science,Innovation and Universities(CIENCIA)(Spain)under projects CGL2013-47988-C2-01-P and CGL2016-77138-C2-1-P.
文摘This paper combines a variety of physicochemical nondestructive techniques to obtain a knowledge of the chemical and mineralogical composition of the scarce fossil bones from the Húmera paleontological site(Madrid,Spain).The main classification of the samples has distinguished six colors:red,gray,blue,white,light yellow and green.μ-XRD and Raman spectroscopy have been correlated to study the structure and to distinguish between fluorapatite,chlorapatite,bioapatite and carbonated bones.The bones have further been classified in three main types.Type I includes gray,green,white,and blue samples,classified as fluorapatite and chlorapatite containing organic matter and adsorbed water.Type II,includes the red sample classified as bioapatite,showing broad Raman bands andμ-XRD peaks due to the lattice disorder created by the B-type substitutions emerging from a high matter content.Type III sample(yellow)shows a complete replacement of apatite by calcite which induce the high porosity of the sample.Diagenetic changes add further complexity to the structure of fossil bones,not only by new ionic substitutions but also in terms of biogenic or authigenic phases that form in the fossilizing bone.The multi-technique approach from a broad interdisciplinary perspective enables a better understanding of bone fossilization.
文摘Coordinated multi-point transmission/reception, CoMP, technique converts the interference signal into the useful information by controlling the interfering signals among adjacent cells. Theoretically, it is a breakthrough from the traditional interference limited non-cooperative single point transmission system, improving link reliability and enhancing the data rate. CoMP is regarded as one of the most essential and effective techniques in eliminating the inter-cell interference, boosting cell edge throughput and overall system throughput. CoMP technique has obvious advantages in TDD(time division duplexing) cellular mobile system; the necessary channel state information for CoMP can be easily obtained through channel reciprocity property in TDD system. CoMP scheme in TDD system and likely problems are analyzed in this paper, and it is shown by system simulations that the significant gain can be achieved.
文摘Coherent beam combination of two W-level fiber amplifiers with multi-dithering technique is demonstrated.In the experiment,the master laser is split into two channels.Multi-dithering technique is used for phase control.One channel is modulated with a 100 kHz sine wave produced by signal generator,and DSP lock-in amplifier is used for electric signal processing in the feedback loop.When the phase control loop is off,the far field interference pattern is blurred and dynamic with 20% fringe contrast.When the f...
文摘Aimed at improving the insufficient search ability of constraint differential evolution with single constraint handling technique when solving complex optimization problem, this paper proposes a constraint differential evolution algorithm?based on ensemble of constraint handling techniques and multi-population?framework, called ECMPDE. First, handling three improved variants of differential evolution algorithms are dynamically matched with two constraint handling techniques through the constraint allocation mechanism. Each combination includes three variants with corresponding constraint handling technique?and these combinations are in the set. Second, the population is divided into three smaller subpopulations and one larger reward subpopulation. Then a combination with three constraint algorithms is randomly selected from the set, and the three constraint algorithms are run in three sub-populations respectively. According to the improvement of fitness value, the optimal constraint?algorithm is selected to run on the reward sub-population, which can share?information and close cooperation among populations. In order to verify the effectiveness of the proposed algorithm, 12 standard constraint optimization problems?and 10 engineering constraint optimization problems are tested. The experimental results show that ECMPDE is an effective algorithm for solving constraint optimization problems.
文摘Correction to:Nuclear Science and Techniques(2025)36:100 https://doi.org/10.1007/s41365-025-01692-6 In this article,Fig.9 appeared incorrectly and have now been corrected in the original publication.For completeness and transparency,both correct and incorrect versions are displayed below.
基金Funded by the National Basic Research Program of China (No. 2009CB23201)the Open Foundation of National Key Laboratory of Green Building Materials(No.CBM-08-KFl 03)+1 种基金the Self-determined and Innovative Research Funds of WUT(2010-IV-066)the Foundamental Research Funds for the Central Universities
文摘The shrinkage of the cement paste with low water-cement ratio at different relative humidity was observed and analyzed with ESEM and deformation map technique.The crack morphology was observed with different magnification with SEM and FESEM,and the formation of the crack was observed with AFM between two C-S-H nano particles.The observation by multi technique at multi scale indicated that the shrinkage was increase with the decrease of the humidity due to the increase of the pressure of the capillary pressure,the morphology of the crack in smaller scale was similar to that in the bigger scale,the smaller crack distributed in the latticework of the bigger ones,and the crack propagated along the gap between two nano particles of C-S-H with weaker bonding.
文摘English Language teaching involves various English teaching techniques in terms of listening,speaking,reading,writ ing and the like skills.Traditional teaching ways are mostly discussed from that standpoint.Here,some new English classroom teaching techniques are introduced and evaluated in a dimensional perspective,which relate to such elements as the students,the teacher,classroom organization and management,and instructional strategies,etc.It makes English classroom teaching more effec tive,thus improve English classroom teaching results.So,it’s advisable for English teachers to reconsider and reevaluate their teaching strategy and result in language classroom from a new multi-dimensional angle in order to improve English teaching effi ciency.
文摘The reformation of the economy system has led the f un ctional department and status of the enterprises into a variable state. Under th e condition of the market economy, the kernel of the enterprises’ functional dep artment has diverted to that of marketing decision-making, which face to market and meet with the need of consumption. Assuredly, the kernel of marketing decis ion-making is to prognosticate the future market demand of the production of en terprises accurately, so that it can ensure and realize the maximum of the enter prises’ profit increase. Using empirical research and the multi-regression technique, this paper ana lyzes the enterprises’ production demand forecast of the GMC (Global Management Challenge, held every year globally) and changes most of uncontrollable factors of demand forecast to the controllable ones of the enterprises. The method we us ed to forecast demand by using the multi-regression technique is as follows: 1. Look for the main factors which influence the demand of productions; 2. Establish the regression model; 3. Using the historical data, find the resolution of the correlative index an d do the prominent test; 4. Analyze and compare, regression, adjust parameter and optimize the regress ion model. Our method will make the forecast data closer to the actual prices of the future market requirement quantity in the production marketing decision-making of the enterprises and realize the optimizing combination and the working object w ith the minimum of the cost and the maximum of the profit. And it can ensure the realization of the equity maximum of the enterprises and increase the lifecycle of the production.
文摘The paper evaluates the suitability of examples used in developing averaging techniques of multi-objective optimization (MOO). Most of the examples used for proposing these techniques were not suitable. The results of these examples have also not been interpreted correctly. An appropriate example has also been solved with existing and improved averaging techniques of multi-objective optimization.
文摘Higher order statistical features have been recently proved to be very efficient in the classification of wideband communications and radar signals with great accuracy. On the other hand, the denoising properties of the wavelet transform make WT an efficient signal processing tool in noisy environments. A novel technique for the classification of multi-user chirp modulation signals is presented in this paper. A combination of the higher order moments and cumulants of the wavelet coefficients as well as the peaks of the bispectrum and its bi-frequencies are proposed as effective features. Different types of artificial intelligence based classifiers and clustering techniques are used to identify the chirp signals of the different users. In particular, neural networks (NN), maximum likelihood (ML), k-nearest neighbor (KNN) and support vector machine (SVMs) classifiers as well as fuzzy c-means (FCM) and fuzzy k-means (FKM) clustering techniques are tested. The Simulation results show that the proposed technique is able to efficiently classify the different chirp signals in additive white Gaussian noise (AWGN) channels with high accuracy. It is shown that the NN classifier outperforms other classifiers. Also, the simulations prove that the classification based on features extracted from wavelet transform results in more accurate results than that using features directly extracted from the chirp signals, especially at low values of signal-to-noise ratios.
文摘In Wireless Sensor Network (WSNs), sensor nodes collect data and send them to a Base Station (BS) for further processing. One of the most issues in WSNs that researchers have proposed a hundred of technique to solve its impact is the energy constraint since sensor nodes have small battery, small memory and less data processing with low computational capabilities. However, many researches efforts have focused on how to prolong the battery lifetime of sensor nodes by proposing different routing, MAC, localization, data aggregation, topology construction techniques. In this paper, we will focus on routing techniques which aim to prolonging the network lifetime. Hence, we propose an Energy-Efficient Routing technique in WSNs based on Stationary and Mobile nodes (EERSM). Sensing filed is divided into intersected circles which contain Mobile Nodes (MN). The proposed data aggregation technique via the circular topology will eliminate the redundant data to be sent to the Base Station (BS). MN in each circle will rout packets for their source nodes, and move to the intersected area where another MN is waiting (sleep mode) to receive the transmitted packet, and then the packet will be delivered to the next intersected area until the packet is arrived to the BS. Our proposed EERSM technique is simulated using MATLAB and compared with conventional multi-hop techniques under different network models and scenarios. In the simulation, we will show how the proposed EERSM technique overcomes many routing protocols in terms of the number of hops counted when sending packets from a source node to the destination (i.e. BS), the average residual energy, number of sent packets to the BS, and the number of a live sensor nodes verse the simulation rounds.
文摘The study deals with the multi-choice mathematical programming problem, where the right hand side of the constraints is multi-choice in nature. However, the problem of multi-choice linear programming cannot be solved directly by standard linear or nonlinear programming techniques. The aim of this paper is to transform such problems to a standard mathematical linear programming problem. For each constraint, exactly one parameter value is selected out of a multiple number of parameter values. This process of selection can be established in different ways. In this paper, we present a new simple technique enabling us to handle such problem as a mixed integer linear programming problem and consequently solve them by using standard linear programming software. Our main aim depends on inserting a specific number of binary variables and using them to construct a linear combination which gives just one parameter among the multiple choice values for each choice of the values of the binary variables. A numerical example is presented to illustrate our analysis.
基金supported by National Science Foundation of China (NSFC) under Grant No.60425101-1Foundation for Innovative Research Groups of NSFC under Grant No.60721001
文摘Contactless measurement of wind flow has been utilized in many fields, such as weather forecasting, hurricane tracking, and aeronautic alarm. In this paper, a novel multi-laser beams measuring system （MLBM） for high precision detection of wind field based on optical scintillations and small perturbation theory was proposed and verified. According to the fluctuation intensity of laser backscatter received by two detectors, peak delay technique was adopted to determine the velocity of wind flow. Detailed procedure to deal with backscatter signals was also presented. Then, practical experiments and measurement results showed high precision of the proposed system for wind measurement with a relative error as 3.21%. Consequently, the MLBM system possesses obvious potential application in engineering project.
文摘Objective To assess the diagnostic value of the airway post-processing technique of multi-slice spiral CT(MSCT)in accessory cardiac bronchus(ACB)and to improve the understanding of this disease.Methods The original MSCT axial images and various post-processing reconstructed images of 9 ACB cases were retrospectively analyzed.Airway post-processing techniques,including multi-planar reformation(MPR),minimum intensity projection(MinIP),volume rendering technique(VRT),CT virtual endoscopy(CTVE)and tissue transition projection(TTP),were employed.Three-dimensional recombination images of bronchial trees were obtained and classified according to the Mangiulea classification.Results Among the 9 cases with ACB,there were 6 cases of accessory-lobed type,3 cases of long diverticular type,and no cases of short diverticular type.The lateral axial images,MPR,MinIP,VRT,CTVE,and TTP all clearly displayed ACB.Among the 6 cases of accessorylobed type,there were 5 cases with accessory lobe dysplasia and one case with pneumonia in an accessory lobe.One case was complicated with accessory lobe emphysema.Among the 3 cases with long diverticular type ACB,one had pneumonia.Among the 9 cases,there was 1 case with old tuberculous focus,1 case with pulmonary fibrous focus,1 case with pleural thickening and adhesion,and 1 case with tracheal diverticulum.Conclusion The airway post-processing technique of MSCT can not only clarify the diagnosis,origin and classification of ACB,but also measure the opening diameter,length and distance to the tracheal carina of ACB.It guides clinical treatment and tracheoscopy,etc,and can be used as the preferred examination method for ACB.
文摘Electric vehicles are in demand in recent days due to depleting conventional energy resources. Electric vehicles which are environmental friendly are set to increase on road in coming days. The Electric vehicles which consist of electric drive systems are made up of electric motors, inverters and batteries. There is a need to increase their output quality while decreasing their size and cost. The multilevel inverter plays a vital role in improving the quality of the output voltage of the inverter. This paper presents the implementation of Elliptical Phase Disposition Pulse Width Modulation (EPD PWM) technique for higher level of Cascaded H-Bridge Multi Level Inverter (CHBMLI). The performance of 5, 7 and 9-level CHBMLI with proposed EPD PWM scheme is analyzed for three-phase RL-load. The simulation results prove that the voltage %THD reduces from 28.09 to 12.85 to 9.69 and current %THD reduces from 25.58 to 10.22 to 9.42 as the number of inverter output level increases from 5-7-9 level respectively. The simulation is carried out on MATLAB/ SIMULINK platform and the results were compared with conventional method to validate the proposed scheme. The simulation results prove that the novel EPD-PWM technique can be used to effectively control the CBHMLI.
文摘In this paper, the problem of optimum allocation of repairable and replaceable components in a system is formulated as a Bi-objective stochastic non linear programming problem. The system maintenance time and cost are random variable and has gamma and normal distribution respectively. A Bi-criteria optimization technique, weighted Tchebycheff is used to obtain the optimum allocation for a system. A numerical example is also presented to illustrate the computational details.
基金National Natural Science Foundation of China,Grant/Award Number:61872171The Belt and Road Special Foundation of the State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering,Grant/Award Number:2021490811。
文摘Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual agents.However,in high‐dimensional continuous spaces,the non‐stationary environment can provide outdated experiences that hinder convergence,resulting in ineffective training performance for multi‐agent systems.To tackle this issue,a novel reinforcement learning scheme,Mutual Information Oriented Deep Skill Chaining(MioDSC),is proposed that generates an optimised cooperative policy by incorporating intrinsic rewards based on mutual information to improve exploration efficiency.These rewards encourage agents to diversify their learning process by engaging in actions that increase the mutual information between their actions and the environment state.In addition,MioDSC can generate cooperative policies using the options framework,allowing agents to learn and reuse complex action sequences and accelerating the convergence speed of multi‐agent learning.MioDSC was evaluated in the multi‐agent particle environment and the StarCraft multi‐agent challenge at varying difficulty levels.The experimental results demonstrate that MioDSC outperforms state‐of‐the‐art methods and is robust across various multi‐agent system tasks with high stability.
基金This work is supported by University IT Research Center ProjectKorea
文摘The search operation of spatial data was a principal operation in existent spatial database management system, but the update operation of spatial data such as tracking are occurring frequently in the spatial database management system recently. So, necessity of concurrency improvement among transactions is increasing. In general database management system, many techniques have been studied to solve concurrency problem of transaction. Among them, multi version algorithm does to minimize interference among transactions. However, to apply existent multi version algorithm to improve concurrency of transaction to spatial database management system, the waste of storage happens because it must store entire version for spatial record even if only aspatial data of spatial record is changed. This paper has proposed the record management techniques to manage separating aspatial data version and spatial data version to decrease waste of storage for record version and improve concurrency among transactions.
