Sheng Chen, Lei Han, K. Sun, Di Luo, Yi-Ming Wang, Du-Li Yu, Yu-Tao Li
{"title":"Weight Discretized BP Algorithm Based on Synapse Transistor with Symmetric/Asymmetric Memory Curve","authors":"Sheng Chen, Lei Han, K. Sun, Di Luo, Yi-Ming Wang, Du-Li Yu, Yu-Tao Li","doi":"10.1109/WCCCT56755.2023.10052598","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052598","url":null,"abstract":"In the field of brain-like computing, the synaptic transistor is a core device that can simulate the computing patterns of the human brain, and evaluating its performance is important for the subsequent construction of neural networks. In this paper, based on the synaptic transistor memory characteristic curve, the influence of discreteness, symmetry/asymmetry and non-linearity on the performance of weight discretized back propagation (BP) neural network algorithm are investigated. The results show that since the conductance of the device is discrete, the effect of this discreteness on its performance is not negligible until the number of discrete points reaches a threshold value. More interesting, this threshold can be reduced by an asymmetric model and a lower degree of nonlinearity. Compared with symmetry model, the complementarity of the asymmetric model leads to more uniform values of discrete weights, which can improve the recognition accuracy of the neural network. This research has a guiding significance for the hardware selection and modeling of artificial intelligence algorithm.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122057257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chukwuka Victor Obionwu, R. Kumar, Suhas Shantharam, David Broneske, Gunter Saake
{"title":"Semantic Relatedness: A Strategy for Plagiarism Detection in SQL Assignments","authors":"Chukwuka Victor Obionwu, R. Kumar, Suhas Shantharam, David Broneske, Gunter Saake","doi":"10.1109/WCCCT56755.2023.10052438","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052438","url":null,"abstract":"The Structured Query Language is the de facto language for defining, and manipulating data in a relational database. Thus, its mastery is important for students in computer science related discipline. Ergo, most universities offer more different courses that enable students to acquire SQL skill. However, this objective is plagued by code plagiarism, a major problem affecting the academic community. While plagiarism detection in other languages are detectable, detecting copied code in SQL is a difficult task to solve as most of the queries are relatively same, which makes plagiarism detection strategies ineffective when the objects are SQL queries. Research efforts in natural language processing has seen the development of several strategies that has facilitated complex evaluation of text strings. In this endavour, we liverage semantic similarity, a method that enables the evaluation of the semantic textual similarity between text strings, and the idea of distance between words, and the likelyness of their meaning to detect plagiarised SQL queries by semantically evaluating raw student query submissions from our SQL courses which are offered every semester. Result show that the semantic similarity strategy was able to detect code similarity, which translated to plagiarism in a considerable umber of submissions. In all, we describe in this paper, our plagiarism detection strategy, the limitations of our strategy, possible means that may be effective at addressing these limitations.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127979381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiongyan Tang, Yue Wang, Rong Huang, Gao Chen, Liwen Wang
{"title":"Stackelberg Game Based Resource Allocation Algorithm for Federated Learning in MEC Systems","authors":"Xiongyan Tang, Yue Wang, Rong Huang, Gao Chen, Liwen Wang","doi":"10.1109/WCCCT56755.2023.10052172","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052172","url":null,"abstract":"Introducing Federated Learning (FL) into the mo- bile edge computing (MEC) system can effectively deal with delay-sensitive tasks and protect end devices (EDs) data privacy. In the process of participating in FL, the EDs will carry out a large number of local iterations and multiple rounds of communication with the MEC server to achieve a target model accuracy. These will bring delay and energy cost which may reduce EDs’ willingness to participate. In this paper, a resource allocation algorithm considering EDs incentives is proposed. We model the resource allocation of the MEC server and EDs as a two-layer Stackelberg game model and design two-layer utility functions. In EDs layer, we provide rewards to incentive EDs to contribute computing resource to achieve higher local model accuracy and weigh it against energy consumption of ED. In MEC server layer, the tradeoff between global model accuracy and system delay is conducted. We take utilities maximization as the optimization objective, and optimize the number of local iterations and bandwidth of EDs to achieve joint computing and communication resource allocation in the MEC system. Then, according to the solution of the optimization problems, we propose a resource allocation algorithm. Finally, the simulation results show that the proposed algorithm is superior to the benchmark schemes in reducing EDs’ energy consumption and system delay, which can achieve the purpose of encouraging EDs to participate.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128984330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xueqing Gan, Yuke Jiang, Yufan Wang, Duan Hong, Zheng-qiang Wang
{"title":"Sum Rate Maximization for UAV Assisted NOMA Backscatter Communication System","authors":"Xueqing Gan, Yuke Jiang, Yufan Wang, Duan Hong, Zheng-qiang Wang","doi":"10.1109/WCCCT56755.2023.10052259","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052259","url":null,"abstract":"In this paper, we study a sum-rate maximization resource allocation algorithm for an unmanned aerial vehicle (UAV) assisted non-orthogonal multiple access (NOMA) backscatter communication system. Considering the energy collection time, gateway amplification factor, and UAV position constraints, sum rate maximization resource allocation model is established. Since the proposed problem is a non-convex problem that is difficult to solve directly, the original problem is decomposed into three subproblems using block coordinate descent (BCD) method to design efficient iterative algorithm to achieve the final sum-rate maximization. Simulation results show that the algorithm has better performance than the benchmark algorithms.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132045699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Joint Rate and Resource Allocation for Panoramic Videos over Future Network","authors":"Rui Deng","doi":"10.1109/WCCCT56755.2023.10052627","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052627","url":null,"abstract":"With the popularity of panoramic video, it is urging research on the viewpoint-aware adaptive streaming methods to alleviate the resource shortage of wireless networks thus providing higher quality of experience (QoE) for the users. Therefore, in this paper, we focus on MEC-assisted 5G heterogeneous network system, and formulate a novel joint rate and resource allocation optimization problem with the aim of maximizing the overall QoE of all users, which comprehensively takes the characteristics of panoramic video in quality assessment, the delay requirements and the resource constraints into account. To solve this problem with low complexity, a heuristic algorithm based on Lagrange Relaxation and Greedy strategy is developed. The simulation results show that our algorithm can improve the overall performance of all users in the video quality, the quality fluctuation and the interruption time.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125081840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deterministic Convergence of Backpropagation Algorithm with Cyclic Dropconnect for Linear Output Neural Networks","authors":"Junling Jing, Zaiqiang Wang, Huisheng Zhang","doi":"10.1109/WCCCT56755.2023.10052295","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052295","url":null,"abstract":"In this paper, we consider the backpropagation algorithm with cyclic DropConnect (BPA-CDC) for neural networks with linear output. Under mild conditions, we establish the deterministic convergence theory for BPA-CDC, showing that the cost function tends to a constant, the gradient tends to zero, and the weight vector tends to a point. Simulation results are provided to validate our theoretical findings.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"37 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131900947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed Phase Calibration for Massive OAM Backhauling in 5G IoT Environments","authors":"Xuanzhong Wang, Yanan Zhang, Zhutian Li","doi":"10.1109/WCCCT56755.2023.10052446","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052446","url":null,"abstract":"The Internet of Things (IoT) plays an important role in 5G communications. Large number of 5G end modules supports the communications of different types of IOT applications, which constantly put forward requirements for high capacity communication technology. In IOT applications, distributed end nodes can construct virtual uniform circular arrays (UCAs), thus performing high capacity UCA based orbital angular momentum (OAM) communication. However, phase deviation exists in the distributed radio chains, which destroys the orthogonality among OAM modes and deteriorates the communication performance. Therefore, phase calibrations are needed. Existing phase calibration schemes are not optimal for UCA based OAM communications, therefore, we propose a phase calibration scheme specially designed for the distributed UCA in this paper. The scheme consists of the phase deviation computation method and the signaling interaction process. Through the signaling interaction, each end node obtains different phase deviation information. Then, the target phase deviation can be calculated based on the computation method. The phase deviation computation only involves linear equations and the quantitized phase value is transmitted during the signaling interaction process. Therefore, the proposed scheme brings little overhead to the normal communications. Simulation results indicate that the proposed calibration scheme can achieve high performance under different signaling precisions, and greatly improves the capacity of the uplink communication for the distributed IOT end nodes.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115140198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chukwuka Victor Obionwu, Damanpreet Singh Walia, Taruna Tiwari, Tathagatha Ghosh, David Broneske, Gunter Saake
{"title":"Towards A Strategy for Developing a Project Partner Recommendation System for University Course Projects","authors":"Chukwuka Victor Obionwu, Damanpreet Singh Walia, Taruna Tiwari, Tathagatha Ghosh, David Broneske, Gunter Saake","doi":"10.1109/WCCCT56755.2023.10052282","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052282","url":null,"abstract":"Project Partner preferences, and the breakdown of team projects has been a challenge both in industry, and university settings. While the consequence is severe in industrial settings, the loss of time, and invested effort in scenarios where university course project breaks down leads to distrust among members and eventual failure in some cases. Thus, it becomes necessary, the acquisition of Colaboratory skills which according to literature is acquired via collaboration with partners whose behaviors cancel out each other’s eccentricities. To this end, industry stakeholders have invested enormous resources on the development of user predictive models that optimally predict the outcome of a collaborative engagement. While this strategy is effective, government policies restrict its implementation in institutions of higher learning, thus making collaboration modelling challenging. Ergo, the objective of this endeavor investigation of noninvasive strategies for eliciting individual preferences that affect collaboration and the development of study recommendation partner system. Consequent on the literature review, we have employed a big five-oriented questionnaire input which is passed through a personality based similarity system based on collaborative filtering and utility-based recommendation system. Findings show that generated teams are academically balance which is the main objective of the study recommendation partner system.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126008786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei Liu, Tiancheng Liang, Ti Guan, Kun Zhang, Wenshuang Wang, Dan Wang
{"title":"A Continue-Domain Sparse-Based Channel Estimation Method in Power Tunnel Communication","authors":"Wei Liu, Tiancheng Liang, Ti Guan, Kun Zhang, Wenshuang Wang, Dan Wang","doi":"10.1109/WCCCT56755.2023.10052431","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052431","url":null,"abstract":"The closedness of the power tunnel causes multipath effect at the receiving end in the wireless communication system, seriously affecting the communication quality. In this paper, we propose a meshless channel estimation method in continuous domain for complex tunnel environment. Discretization of the continuous domain is prone to grid mismatch problems. The atomic norm minimization method can improve estimation accuracy without meshing the grids. By comparing the estimation abilities of the proposed method with the traditional channel estimation methods in the same power tunnel environment, it can be seen that the ANM method can obtain a lower bit error rate (BER) and a smaller normalized mean square error (NMSE) value under medium and high signal-to-noise regions.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129581293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intent-Driven Internet of Things: Architectures, Technology, and Challenges","authors":"Lulu Zhang, Ru Dong, Fuqiang Li, Jiaming Zhang, Jingwen Zhang, Chungang Yang","doi":"10.1109/WCCCT56755.2023.10052382","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052382","url":null,"abstract":"The Internet of Things (IoT) aims to connect everything. However, with the emergence of large-scale heterogeneous devices, the complexity of network configuration and management becomes increasingly prominent, and it becomes more and more urgent for infrastructure to automatically and adaptively update the configuration according to the business requirements. Intent-driven Network (IDN) has the advantages of user friendliness, fine-grained policy mapping and closed-loop verification. IDN can promote the improvement of traditional IoT configuration and management methods, and further achieve the goal of improving user experience. First, we review the development of IoT architecture and propose an intent-driven IoT architecture. We then analyze the key technologies involved in the architecture and provide a list of typical intent-driven IoT platforms from industry and academia. Finally, the future research challenges of intent-driven IoT are briefly discussed.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127354962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}