{"title":"IDEAL: Intent Driven Emerging Anti-congestion Router with Load-Balance for SDN","authors":"Junjie Guo, Chungang Yang, Fuqiang Li, Ru Dong, Yanbo Song, Shiwen Kou","doi":"10.1109/WCCCT56755.2023.10052261","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052261","url":null,"abstract":"With the development of software-defined network, network managers can manage and control rich network devices through a unified OpenFlow protocol; however, network managers still need to configure the network manually. Moreover, with the increasing number of huge network devices, it is required to be timely without configuration errors, which leads to high knowledge and experience requirements for network managers. In this work, we propose an Intent Driven Emerging Anti-congestion Router with Load-balance considerations, which is termed as IDEAL system. The presented IDEAL system can analyze the user intents and make network configurations to satisfy their requirements without managers manual operation in the network. Moreover, the IDEAL system can always select the optimal routing paths according to the current global network status, and automatically switch the links for users when the network fails. Finally, we present a proof-of-concept demonstration of the feasibility and performance enhancement of the presented IDEAL system.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"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":"123049246","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}
Tianle Chen, Lei Song, Hua Zhou, Yucheng Li, Hongwei Wang, Chuang Kong
{"title":"A Study of Mental Health Self-Monitoring Based on the Combination of BERT and Low-Code Platform","authors":"Tianle Chen, Lei Song, Hua Zhou, Yucheng Li, Hongwei Wang, Chuang Kong","doi":"10.1109/WCCCT56755.2023.10052392","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052392","url":null,"abstract":"This paper proposes a technical route for mental health self-monitoring based on BERT. This route can facilitate models that achieve good results on many tasks of natural language processing and can excellent in analyzing the emotions of the recorders. At the same time, the low-code platform, as an auxiliary system tool for software engineering, is able to deploy some machine learning tasks, including data preparation, storage, model building, etc., therefore, it used in this experiment to assist language models for sentiment analysis. With the combination of the two techniques, the accuracy of this technological route to facilitate sentiment analysis can reach up to 88.32%. And by reminding the changes in the emotions of the recorder, it can initially achieve the purpose of achieving mental health self-monitoring.","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":"125213821","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":"High Performance and Hardware Efficient Stochastic Computing Elements for Deep Neural Network","authors":"Shuai Hu, Kaining Han, Jianhao Hu","doi":"10.1109/WCCCT56755.2023.10052402","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052402","url":null,"abstract":"Three high performance and hardware efficient stochastic computing elements are proposed for the implementation of deep neural network. A hybrid stochastic multiplier which combines unipolar coding and bipolar coding is proposed to achieve efficient trade-off between high accuracy and low hardware consumption. Then, a stochastic accumulative parallel counter is present to achieve high accuracy stochastic-to-binary conversion with much less hardware consumption. Finally, a stochastic ReLU function is designed to precisely realize ReLU function in stochastic computing without approximate error.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"2 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":"125277549","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":"Multiple Flipping Strategy LISBF for LDPC Codes","authors":"Yishan Sun, Pingyang Huang, Yichun Zhang, Zhiyuan Cheng","doi":"10.1109/WCCCT56755.2023.10052347","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052347","url":null,"abstract":"The performance and complexity of low-density parity-check (LDPC) decoders have strict requirements since they are widely demanded in both communication and storage systems. Information storage bit flipping (ISBF) decoder and layered ISBF (LISBF) decoder demonstrate excellent decoding performance and throughput in which the global maximumfinding operation can be calculated in parallel to other decoding operations. However, their error-correction performance is not satisfactory. In this paper, we consider a variety of optimizations based on LISBF and propose a new algorithm named multiple flipping strategy LISBF (MLISBF). First, a high probability is adopted to flip those bits with high energy values. Second, strict flipping with a lower threshold is triggered when the syndrome weight is negligible. Then, we introduce perturbation flipping at specific iterations to help the decoder overcome trapping sets. We designed an efficient hardware implementation which realizes the layered calculation for BF decoders and reduces hardware resources for the MLISBF algorithm.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"19 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":"114939304","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}
Yuen-Ren Yang, Shuxiang Song, Mingcan Cen, Pinqun Jiang, Chaobo Cai
{"title":"A Low Noise and Spur Sub-sampling Phase Locked Loop Based on Clock System","authors":"Yuen-Ren Yang, Shuxiang Song, Mingcan Cen, Pinqun Jiang, Chaobo Cai","doi":"10.1109/WCCCT56755.2023.10052425","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052425","url":null,"abstract":"To solve the noise and spurious problems of the Charge Pump Phase-Locked Loop (CPPLL), this paper presents a Sub-sampling Phase-Locked Loop (SSPLL), which has an output frequency of 64MHz with low noise and low spur. Subsampling technology is used to reduce the in-band noise of the SSPLL. By designing an excellent performance Sub-sampling Charge Pump (SSCP) and Sub-sampling Phase Detector (SSPD), the spur reference of the Voltage Controlled Oscillator (VCO) output clock and the mismatch of current are decreased. The SSPLL is implemented in SMIC 110nm CMOS process consuming 1.85mW from 1.2V supply and occupying an area of 0.12x0.10mm2. The in-band noise of the SSPLL at 10KHz is - 118.36dBc/Hz and the reference spur of the VCO output clock is -89.31dB.","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":"116198462","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":"Research on Key Technologies of High Precision Millimeter Wave Radar Ranging System","authors":"W. Gu, Botao Feng, Xiaoye Wang, Xuzhi Zou","doi":"10.1109/WCCCT56755.2023.10052457","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052457","url":null,"abstract":"High precision measurement technology has a wide range of applications in industrial engineering, such as solid and liquid level measurement, detection of small defects on highly smooth metal surfaces, etc. But, accuracy of traditional measurement technology is difficult to reach the millimeter level. Based on the introduction of basic principle of FMCW radar, this paper analyzes the key technologies of high-precision radar ranging system. Related works are studied, which focuses on millimeter wave antenna, integrated circuit, and digital signal processing algorithm. At last, the future directions and outlook are prospected.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"28 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":"133668335","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}
Tianyu Wang, Y. Zou, Xudong Zhang, Jiahui Liu, Jinming Wu
{"title":"Automotive Mixed Criticality DAG Function Scheduling Optimization Based on Edge Computing","authors":"Tianyu Wang, Y. Zou, Xudong Zhang, Jiahui Liu, Jinming Wu","doi":"10.1109/WCCCT56755.2023.10052398","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052398","url":null,"abstract":"As the high level autonomous vehicle has come to be regarded as the typical mixed-criticality cyber-physical system, the optimization approach of job scheduling has drawn more and more attention. When the conventional mixed-criticality theory is used to handle the scheduling problem, the low criticality functions are frequently degraded or abandoned at high system criticality levels, decreasing service satisfaction. This paper proposes an optimization method using edge computing to improve the performance of low criticality functions on the presumption that high criticality functions can meet the deadline requirements. The optimization method is based on the scenario of the future prospect of intelligent transportation and the new electronic/electrical information architecture of network connection. This research also provides some mixed-criticality function models to validate our methods. Weighted completion index is proposed to measure the scheduling effect of this situation, which also quantifies the level of improvement of edge computing-based scheduling over the conventional local scheduling method, in order to address the lack of evaluation of passengers' perception when vehicle soft real-time DAG functions are unable to meet the deadline.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"67 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":"123372421","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":"Research on Intelligent Monitoring of Offshore Wind Turbine Environment Based on Wireless Transmission and Distributed Computing","authors":"Zhichao Wu, Yong Yao, Shizhu Li, Chimg-Chu Yu, Chuan Chen, Tingcheng Huang","doi":"10.1109/WCCCT56755.2023.10052405","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052405","url":null,"abstract":"The marine ecosystem is a dynamic system, and offshore wind power can make efficient use of marine resources and marine space. Hence, it is important to perform the research on intelligent monitoring of offshore wind turbine environment based on wireless transmission and distributed computing. To this end, we first investigate a mobile edge computing (MEC) system, in which a mobile device offloads its task to several edge nodes (ENs). Specifically, practical MEC scenarios are studied, in which the task of mobile device should be completed within a given latency threshold. Moreover, to faciliate the performance evaluation, we define the outage probability (OP) for the considered MEC system and further analyze the outage performance of the considered MEC system, where an analytical expression of OP as well as the asymptotic one is derived. Finally, we show some simulation and analytical results to verify how some key parameters affect the intelligent monitoring of offshore wind turbine environment based on wireless transmission and distributed computing.","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":"130118074","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":"Power Allocation in Cell-Free mmWave Massive MIMO: Using Deep Deterministic Policy Gradient","authors":"Yu Zhao, Fengming Zhang, Yangjun Gao, Chaoqi Fu","doi":"10.1109/WCCCT56755.2023.10052585","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052585","url":null,"abstract":"This paper studies the weighted sum-spectral efficiency (SE) power allocation problem in cell-free (CF) mmWave massive multiple-input multiple-output (MIMO) with mobile user equipments (UEs). This is a non-convex problem that needs to be solved within a time constraint of the channel state information (CSI) variation. Although several heuristic methods, e.g., the weighted minimum mean square error (WMMSE) algorithm, have been developed to solve this problem, these methods entail considerable computational complexity therefore hardly meet the time constraint. To address this issue, we propose a deep reinforcement learning (DRL) solution based on the deep deterministic policy gradient (DDPG) method. It only needs several layers of neural network to perform the power allocation. The numerical results, obtained from a particular 3GPP scenario, show that the proposed DDPG method outperforms the existing algorithms.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"69 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":"133061076","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":"Remote Traffic Light Detection and Recognition Based on Deep Learning","authors":"M. Derong, Teng Zhongmei","doi":"10.1109/WCCCT56755.2023.10052610","DOIUrl":"https://doi.org/10.1109/WCCCT56755.2023.10052610","url":null,"abstract":"As we all know, the signal indicating system of traffic signal lamp plays an obvious role in effectively controlling crossing, ensuring traffic order, guiding traffic flow, improving road capacity and urban traffic stride. Crossing an intersection according to the traffic light is the basic principle of traffic behavior. In real life, the driver may be tired driving or dangerous state of using mobile phone while driving the vehicle, or have the intention to catch the yellow light, so the illegal behavior of crossing the intersection without following the traffic light is still relatively common (especially in China and other developing countries and poor areas). Traffic accidents occur frequently, and intersection is one of the places where traffic accidents occur frequently. At the present stage, this paper mainly studies traffic light detection and recognition based on YOLOv5 model and YOLOv5+DeepSort. The trained model can be used in vehicle system or intelligent recognition field, and it is hoped that when the vehicle approaches or passes through the intersection, it can provide the necessary information for the driver, and can be used for auxiliary driving. Effectively reduce the number of traffic accidents at intersections.","PeriodicalId":112978,"journal":{"name":"2023 6th World Conference on Computing and Communication Technologies (WCCCT)","volume":"96 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":"116163449","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}