As Internet of Things(IoT)applications expand,Mobile Edge Computing(MEC)has emerged as a promising architecture to overcome the real-time processing limitations of mobile devices.Edge-side computation offloading plays...As Internet of Things(IoT)applications expand,Mobile Edge Computing(MEC)has emerged as a promising architecture to overcome the real-time processing limitations of mobile devices.Edge-side computation offloading plays a pivotal role in MEC performance but remains challenging due to complex task topologies,conflicting objectives,and limited resources.This paper addresses high-dimensional multi-objective offloading for serial heterogeneous tasks in MEC.We jointly consider task heterogeneity,high-dimensional objectives,and flexible resource scheduling,modeling the problem as a Many-objective optimization.To solve it,we propose a flexible framework integrating an improved cooperative co-evolutionary algorithm based on decomposition(MOCC/D)and a flexible scheduling strategy.Experimental results on benchmark functions and simulation scenarios show that the proposed method outperforms existing approaches in both convergence and solution quality.展开更多
Aiming at the problems such as more repeatedly design and longer design cycle, in this paper, the similarity theory was introduced to the design process of the key structures of flotation machine. The impeller and U-s...Aiming at the problems such as more repeatedly design and longer design cycle, in this paper, the similarity theory was introduced to the design process of the key structures of flotation machine. The impeller and U-shaped tank of flotation machine system were analyzed as similarity unit. Meanwhile, the level of similarity of the units and the similarity of the system were calculated. Based on the analysis of the impeller and the size of U-shaped tank, the similarity criteria were derived. The derived conclusions are： （1） The relationship between the diameter of the impeller and the volume of the tank was power function and calculated as the similarity criteria of the impeller; （2） The relationship between the ratio between the U-shaped tank＇s cross-sectional area and impeller＇s diameter and the volume of the tank was power function and calculated as the similarity criterions of the U-shaped tank. Using the similarity criterion combined with computer technology and database technology to realize part and system serialization design. The results show that the research can efficiency. avoid repeatedly design, shorten design cycle, and raise the design展开更多
The increasing trends in SoCs and SiPs technologies demand integration of large numbers of buses and metal tracks for interconnections. On-Chip SerDes Transceiver is a promising solution which can reduce the number of...The increasing trends in SoCs and SiPs technologies demand integration of large numbers of buses and metal tracks for interconnections. On-Chip SerDes Transceiver is a promising solution which can reduce the number of interconnects and offers remarkable benefits in context with power consumption, area congestion and crosstalk. This paper reports a design of a new Serializer and Deserializer architecture for basic functional operations of serialization and deserialization used in On-Chip SerDes Transceiver. This architecture employs a design technique which samples input on both edges of clock. The main advantage of this technique which is input is sampled with lower clock (half the original rate) and is distributed for the same functional throughput, which results in power savings in the clock distribution network. This proposed Serializer and Deserializer architecture is designed using UMC 180 nm CMOS technology and simulation is done using Cadence Spectre simulator with a supply voltage of 1.8 V. The present design is compared with the earlier published similar works and improvements are obtained in terms of power consumption and area as shown in Tables 1-3 respectively. This design also helps the designer for solving crosstalk issues.展开更多
This article presents two designs,the Transaction Serial Format(TSF)and the Transaction Array Model(TAM).Together,they provide full,efficient,transaction serialization facilities for devices with limited onboard energ...This article presents two designs,the Transaction Serial Format(TSF)and the Transaction Array Model(TAM).Together,they provide full,efficient,transaction serialization facilities for devices with limited onboard energy,such as those in an Internet of Things(IoT)network.TSF provides a compact,non-parsed,format that requires minimal processing for transaction deserialization.TAM provides an internal data structure that needs minimal dynamic storage and directly uses the elements of TSF.The simple lexical units of TSF do not require parsing.The lexical units contain enough information to allocate the internal TAM data structure efficiently.TSF generality is equivalent to XML and JSON.TSF represents any XML document or JSON object without loss of information,including whitespace.The XML equivalence provides a foundation for the performance comparisons.A performance comparison of a C reference implementation of TSF and TAM to the popular Expat XML library,also written in C,shows that TSF reduces deserialization processor time by more than 80%.展开更多
This study investigated the relationship between college students’awe and depression,along with the mediating roles of future self-continuity and presence of meaning.891 Chinese college students(570 female;mean age 1...This study investigated the relationship between college students’awe and depression,along with the mediating roles of future self-continuity and presence of meaning.891 Chinese college students(570 female;mean age 18.59;SD 1.34)from one university completed four surveys:Dispositional Awe Subscale,Future self-continuity Scale,Meaning in Life Scale and Depression Scale.Using structural equation modelling and the bootstrap method,the results delineated that awe negatively related to depression,and future self-continuity and presence of meaning had a serial mediation effect,reducing depression.The study implies educational institutions should foster a positive mental health education environment,urging students to develop positive traits,enhancing well-being and resilience,and facilitating psychological development.展开更多
Advancements in dynamic modeling methods of robotic manipulator are critical to the effective implementation of model-based control.Traditional approaches rely on rigorous first-principles-based dynamic modeling and p...Advancements in dynamic modeling methods of robotic manipulator are critical to the effective implementation of model-based control.Traditional approaches rely on rigorous first-principles-based dynamic modeling and precise parameter identification,while this paper explores an altemative through data-driven model reconstruction.To tackle the curse of dimensionality in the model reconstruction of a serial robotic manipulator with multi-degree-of-freedom,a relative activation indicator is proposed.Based on this indicator,the k-means clustering algorithm is utilized to classify the data under different working conditions.Sub-sequently,we leverage the fundamental prior knowledge to find the dynamical characteristics of each cluster and reconstruct the dynamic model in a stepwise manner using the method of sparse identification of nonlinear dynamics(SINDy).For the library generation of SINDy,the strategy of double-feature-set for serial manipulators with common joint types is proposed.Simula-tion results show that the stepwise model reconstruction approach not only reduces the size of the library of candidate functions but also decreases the impact of data noise on the reconstruction results.Finally,controllers based on the reconstructed mod.els are deployed on the experimental platform and the experimental results demonstrate the improvement in trajectory tracking performance and the potential of the proposed method in engineering applications.展开更多
To improve the performance of the short interleaved serial concatenated convolutional code(SCCC) with low decoding iterative times, the structure of Log MAP algorithm is introduced into the conventional SOVA decoder...To improve the performance of the short interleaved serial concatenated convolutional code(SCCC) with low decoding iterative times, the structure of Log MAP algorithm is introduced into the conventional SOVA decoder to improve its performance at short interleaving delay. The combination of Log MAP and SOVA avoids updating the matrices of the maximum path, and also makes a contribution to the requirement of short delay. The simulation results of several SCCCs show that the improved decoder can obtain satisfied performance with short frame interleaver and it is suitable to the high bit rate low delay communication systems.展开更多
基金supported by Youth Talent Project of Scientific Research Program of Hubei Provincial Department of Education under Grant Q20241809Doctoral Scientific Research Foundation of Hubei University of Automotive Technology under Grant 202404.
文摘As Internet of Things(IoT)applications expand,Mobile Edge Computing(MEC)has emerged as a promising architecture to overcome the real-time processing limitations of mobile devices.Edge-side computation offloading plays a pivotal role in MEC performance but remains challenging due to complex task topologies,conflicting objectives,and limited resources.This paper addresses high-dimensional multi-objective offloading for serial heterogeneous tasks in MEC.We jointly consider task heterogeneity,high-dimensional objectives,and flexible resource scheduling,modeling the problem as a Many-objective optimization.To solve it,we propose a flexible framework integrating an improved cooperative co-evolutionary algorithm based on decomposition(MOCC/D)and a flexible scheduling strategy.Experimental results on benchmark functions and simulation scenarios show that the proposed method outperforms existing approaches in both convergence and solution quality.
基金Supported by National Natural Science Foundation of China (Grant No.51275145)
文摘Aiming at the problems such as more repeatedly design and longer design cycle, in this paper, the similarity theory was introduced to the design process of the key structures of flotation machine. The impeller and U-shaped tank of flotation machine system were analyzed as similarity unit. Meanwhile, the level of similarity of the units and the similarity of the system were calculated. Based on the analysis of the impeller and the size of U-shaped tank, the similarity criteria were derived. The derived conclusions are： （1） The relationship between the diameter of the impeller and the volume of the tank was power function and calculated as the similarity criteria of the impeller; （2） The relationship between the ratio between the U-shaped tank＇s cross-sectional area and impeller＇s diameter and the volume of the tank was power function and calculated as the similarity criterions of the U-shaped tank. Using the similarity criterion combined with computer technology and database technology to realize part and system serialization design. The results show that the research can efficiency. avoid repeatedly design, shorten design cycle, and raise the design
文摘The increasing trends in SoCs and SiPs technologies demand integration of large numbers of buses and metal tracks for interconnections. On-Chip SerDes Transceiver is a promising solution which can reduce the number of interconnects and offers remarkable benefits in context with power consumption, area congestion and crosstalk. This paper reports a design of a new Serializer and Deserializer architecture for basic functional operations of serialization and deserialization used in On-Chip SerDes Transceiver. This architecture employs a design technique which samples input on both edges of clock. The main advantage of this technique which is input is sampled with lower clock (half the original rate) and is distributed for the same functional throughput, which results in power savings in the clock distribution network. This proposed Serializer and Deserializer architecture is designed using UMC 180 nm CMOS technology and simulation is done using Cadence Spectre simulator with a supply voltage of 1.8 V. The present design is compared with the earlier published similar works and improvements are obtained in terms of power consumption and area as shown in Tables 1-3 respectively. This design also helps the designer for solving crosstalk issues.
文摘This article presents two designs,the Transaction Serial Format(TSF)and the Transaction Array Model(TAM).Together,they provide full,efficient,transaction serialization facilities for devices with limited onboard energy,such as those in an Internet of Things(IoT)network.TSF provides a compact,non-parsed,format that requires minimal processing for transaction deserialization.TAM provides an internal data structure that needs minimal dynamic storage and directly uses the elements of TSF.The simple lexical units of TSF do not require parsing.The lexical units contain enough information to allocate the internal TAM data structure efficiently.TSF generality is equivalent to XML and JSON.TSF represents any XML document or JSON object without loss of information,including whitespace.The XML equivalence provides a foundation for the performance comparisons.A performance comparison of a C reference implementation of TSF and TAM to the popular Expat XML library,also written in C,shows that TSF reduces deserialization processor time by more than 80%.
基金supported by the Fundamental Research Funds for the Central Universities,and the Research Funds of Civil Aviation University of China,No.3122024012.
文摘This study investigated the relationship between college students’awe and depression,along with the mediating roles of future self-continuity and presence of meaning.891 Chinese college students(570 female;mean age 18.59;SD 1.34)from one university completed four surveys:Dispositional Awe Subscale,Future self-continuity Scale,Meaning in Life Scale and Depression Scale.Using structural equation modelling and the bootstrap method,the results delineated that awe negatively related to depression,and future self-continuity and presence of meaning had a serial mediation effect,reducing depression.The study implies educational institutions should foster a positive mental health education environment,urging students to develop positive traits,enhancing well-being and resilience,and facilitating psychological development.
基金supported by the National Natural Science Foundation of China(Grant Nos.12072237,12472022,12372022,12372065,and U2441202)the Fundamental Research Funds for the Central Universities(Grant No.22120220590)。
文摘Advancements in dynamic modeling methods of robotic manipulator are critical to the effective implementation of model-based control.Traditional approaches rely on rigorous first-principles-based dynamic modeling and precise parameter identification,while this paper explores an altemative through data-driven model reconstruction.To tackle the curse of dimensionality in the model reconstruction of a serial robotic manipulator with multi-degree-of-freedom,a relative activation indicator is proposed.Based on this indicator,the k-means clustering algorithm is utilized to classify the data under different working conditions.Sub-sequently,we leverage the fundamental prior knowledge to find the dynamical characteristics of each cluster and reconstruct the dynamic model in a stepwise manner using the method of sparse identification of nonlinear dynamics(SINDy).For the library generation of SINDy,the strategy of double-feature-set for serial manipulators with common joint types is proposed.Simula-tion results show that the stepwise model reconstruction approach not only reduces the size of the library of candidate functions but also decreases the impact of data noise on the reconstruction results.Finally,controllers based on the reconstructed mod.els are deployed on the experimental platform and the experimental results demonstrate the improvement in trajectory tracking performance and the potential of the proposed method in engineering applications.
文摘To improve the performance of the short interleaved serial concatenated convolutional code(SCCC) with low decoding iterative times, the structure of Log MAP algorithm is introduced into the conventional SOVA decoder to improve its performance at short interleaving delay. The combination of Log MAP and SOVA avoids updating the matrices of the maximum path, and also makes a contribution to the requirement of short delay. The simulation results of several SCCCs show that the improved decoder can obtain satisfied performance with short frame interleaver and it is suitable to the high bit rate low delay communication systems.
