EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing by Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won

“…Simultaneously, the increasing adoption of wearable devices capable of processing audio-visual information has further driven the demand for On-screen Sound source Separation (OSS), particularly in dynamic, egocentric scenarios. …”
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Dynamic service migration strategy based on MDP model with multiple parameter in vehicular edge network by Hui GUO, Lanlan RUI, Zhipeng GAO

“…To handle with the service interruption caused by vehicles’ mobility and limited service coverage of edge servers,a dynamic service migration algorithm based on multi-parameters Markov decision process (MDP) model was put forward for vehicular edge network,which was called as dynamic service migration algorithm based on multiple parameter (DSMMP).Combining delay,bandwidth,server capacity with vehicle motion information,DSMMP constructed a multi-parameters MDP revenue function to remedy the deficiency of distance-based schemes.By using vehicle motion and delay constraints,a candidate server set with several candidate servers was defined,and migration decision through long-term Bellman revenue values was made.In order to improve the dynamic adaptability of the proposed algorithm,the weight values were calculated and updated by leveraging historical information.Simulation results show that our strategy has a good performance in terms of delay,packet loss ratio and service migration times.…”
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vConnect: V2V Connectivity Prediction and Independent Task Offloading Framework in Vehicular Edge Computing by Adsadawut Chanakitkarnchok, Kiattikun Kawila, Kultida Rojviboonchai

“…In this paper, we propose a novel V2V connectivity prediction and independent task offloading framework for vehicular edge computing, called vConnect. There are three necessary modules for supporting the overall task offloading process: the mobility prediction module, deadline-constraint task partitioning module, and independent task offloading module. …”
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Cutting Edge Curve Design Method of Large Module Hobbing Cutter Based on Profile Modifications by Qu Tie, Xin Wen, Yang Jianjun, Han Chunyang, Wei Bingyang

“…In the process of large module gear hobbing of high-order modification tooth profile, the cutting edge curve is different according to the variation of rake angle, which has a great influence on tooth profile accuracy. …”
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Research on intrusion response strategy based on static Bayesian game in mobile edge computing network by Wei FAN, Cheng PENG, Dali ZHU, Yuqing WANG

“…In the mobile edge computing (MEC) environment, the resources of edge nodes are limited.It is difficult to detect the intrusion process accurately, and there is no effective intrusion response strategy to deal with external intrusions.An intrusion detection network structure suitable for mobile edge computing environment was proposed and an intrusion response decision model based on static Bayesian game was established to simulate the network interaction behavior between edge nodes and external intruders.The probability of attackers and defenders in the game process was predicted respectively.The influence of the system resource, the cost of intrusion response, the detection rate and false alarm rate were considered comprehensively by the intrusion response decision model.The response decision of the intrusion detection system was optimized on the basis of the considering both resource consumption of the intrusion detection and the privacy protection of the edge nodes.The factors that affected the decision-making of intrusion response were analyzed, and the experimental basis for the specific application was provided.…”
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Research on intrusion response strategy based on static Bayesian game in mobile edge computing network by Wei FAN, Cheng PENG, Dali ZHU, Yuqing WANG

“…In the mobile edge computing (MEC) environment, the resources of edge nodes are limited.It is difficult to detect the intrusion process accurately, and there is no effective intrusion response strategy to deal with external intrusions.An intrusion detection network structure suitable for mobile edge computing environment was proposed and an intrusion response decision model based on static Bayesian game was established to simulate the network interaction behavior between edge nodes and external intruders.The probability of attackers and defenders in the game process was predicted respectively.The influence of the system resource, the cost of intrusion response, the detection rate and false alarm rate were considered comprehensively by the intrusion response decision model.The response decision of the intrusion detection system was optimized on the basis of the considering both resource consumption of the intrusion detection and the privacy protection of the edge nodes.The factors that affected the decision-making of intrusion response were analyzed, and the experimental basis for the specific application was provided.…”
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Cloud–Edge Collaborative Model Adaptation Based on Deep Q-Network and Transfer Feature Extraction by Jue Chen, Xin Cheng, Yanjie Jia, Shuai Tan

“…With the rapid development of smart devices and the Internet of Things (IoT), the explosive growth of data has placed increasingly higher demands on real-time processing and intelligent decision making. Cloud-edge collaborative computing has emerged as a mainstream architecture to address these challenges. …”
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The Design of a Computer Vision Sensor Based on a Low-Power Edge Detection Circuit by Suhyeon Lee, Yu Chan Yun, Seung Min Heu, Kyu Hyun Lee, Seung Joon Lee, Kyungmin Lee, Jiin Moon, Hyuna Lim, Taeun Jang, Minkyu Song, Soo Youn Kim

“…We propose a complementary metal-oxide-semiconductor (CMOS) image sensor (CIS) that performs edge mask computation and detection during the analog-to-digital (A/D) conversion process to output 1-bit edge images. …”
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A study of massive multidimensional data sharing and interaction algorithms based on cloud-edge collaboration by Xiaodong Zhang, Jing Wang, Ke Yang

“…Therefore, this article proposes a massive multi-dimensional data sharing and interaction algorithm based on cloud edge collaboration. In the edge layer and cloud layer, data from sensors and nodes undergo re-encryption through proxies during the collection process. …”
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Analisis Kinerja Jaringan Sensor Nirkabel untuk Edge Computing Menggunakan LORA SX1278 by Mochammad Hannats Hanafi Ichsan

“…The sensing process can be done by using various sensors as needed, while the technology for processing the sensing node is called Edge Computing technology. …”
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Applications of Uncertainty Models as Support in Smart Buildings and Ethical Computing in Edge Computing of Smart Cities by Ying Li, Trip Huwan

“…In order to improve the effect of smart city construction, this paper combines smart buildings and ethical computing to conduct research on smart city edge computing. The new smart city architecture based on the flexible deployment of edge computing and data slicing capabilities provides support for the transformation of smart city construction from hardware embedded technology, access means, and software data processing. …”
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Caching strategy based on transmission delay for D2D cooperative edge caching system by Yan CAI, Fan WU, Hongbo ZHU

“…To meet the requirements of 5G system with low delay and high reliability, for a single-caching D2D cooperative edge caching system, an optimization of the caching strategy based on transmission delay was proposed.The dynamic distributions of requesting users and idle users were modeled as the independent homogeneous poisson point process (HPPP) utilizing the stochastic geometry theory.Comprehensively considering the content popularity, user location information, device transmission power and interference, the relationship between the average transmission delay of user and the cache probability distribution was derived.Taking the average transmission delay as the objective function, the optimization problem was established, and a low complexity iterative algorithm was proposed to obtain the cache strategy with sub-optimal average transmission delay.Simulation results demonstrate that the proposed optimization cache strategy is superior to several common cache strategies in terms of transmission delay.…”
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Closure technology of large span steel truss arch bridge with temporarily fixed edge supports by Wang Laifa, Xu Jiyang, Li Yexun, Zhou Sicheng

“…Applying vertical prestress at the edge support point can meet the anti-overturning requirements of cantilever construction. …”
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Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method by ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming

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Multi objective reinforcement learning driven task offloading algorithm for satellite edge computing networks by Sai Xu, Jun Liu, Jiawei Tang, Xiangjun Liu, Zhi Li

“…Abstract Satellite edge computing (SEC) has become a revolutionary paradigm to improve the quality of service, reduce the pressure on satellite-terrestrial backhaul bandwidth and reduce the average response delay of task requests. …”
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Link prediction accuracy on real-world networks under non-uniform missing-edge patterns. by Xie He, Amir Ghasemian, Eun Lee, Alice C Schwarze, Aaron Clauset, Peter J Mucha

“…Nevertheless, uniform missing data is a common assumption made when no additional information is available about the underlying missing-edge pattern, and link prediction methods are frequently tested against uniformly missing edges. …”
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Effect of Elastically Restrained Edges on Free Transverse Vibration of Functionally Graded Porous Rectangular Plate by Yajuvindra Kumar

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Nostalgia and Creative Urge as Double-Edged Swords in the (Auto)Biographical Writings of Rose Gollup-Cohen by Irina Rabinovich

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Dynamic QoS-aware intelligent edge computing resource management algorithm for body area networks by MU Siqi, WEN Shuo, LU Yang, AI Bo

“…A dynamic QoS-aware stochastic optimization problem on computation offloading decisions and edge computing resource allocation was studied. Firstly, considering the Markov nature of multi-source task priorities and channel state changes in BAN, the original stochastic optimization problem was transformed into an infinite horizon Markov decision process problem. …”
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Modeling of Cloud-Edge Collaborated Electricity Market Considering Flexible Ramping Products Provided by VPPs by PENG Chaoyi, CHEN Wenzhe, XU Suyue, LI Jianshe, ZHOU Huafeng, GU Huijie, NIE Yongquan, SUN Haishun

“…The market clearing process is completed through the collaborative interaction between the independent system operator and VPPs, which can accurately guide VPPs to optimize the electricity consumption and provide flexible climbing services. …”
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