2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)最新文献

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High-Speed Retrieval Method for Unstructured Big Data Platform Based on K-Ary Search Tree Algorithm 基于K-Ary搜索树算法的非结构化大数据平台高速检索方法
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016179
Zhang Helin, Jiang Meiling, Wang Yiting, Zhang Hang, Liao Huadong, C. Anqing
{"title":"High-Speed Retrieval Method for Unstructured Big Data Platform Based on K-Ary Search Tree Algorithm","authors":"Zhang Helin, Jiang Meiling, Wang Yiting, Zhang Hang, Liao Huadong, C. Anqing","doi":"10.1109/TOCS56154.2022.10016179","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016179","url":null,"abstract":"With the popularity of the Internet, the amount of data created by people every day increases exponentially, and most of these data are unstructured data. How to search for useful information from a large amount of data is the problem to be solved in this paper. In this regard, this paper builds an unstructured big data platform for data retrieval, and conducts two test experiments. One is to test the retrieval efficiency of the platform in stand-alone mode and distributed mode. The retrieval efficiency is better; the second is to test the impact of the k-ary search tree algorithm on the retrieval computing efficiency of the platform. It is found that when the amount of data to be retrieved exceeds 400M, the platform can effectively improve the computing speed by using this algorithm.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129264817","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}
引用次数: 0
Multi-Time Scale Low-Carbon Optimization of IES Considering Demand Response of Multi-Energy 考虑多种能源需求响应的IES多时间尺度低碳优化
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10015990
Fan Caixiong, Zhao Wenqiang, X. Jiawei, Wang Zhengwei, Zhou Jun, Shi Shengchao
{"title":"Multi-Time Scale Low-Carbon Optimization of IES Considering Demand Response of Multi-Energy","authors":"Fan Caixiong, Zhao Wenqiang, X. Jiawei, Wang Zhengwei, Zhou Jun, Shi Shengchao","doi":"10.1109/TOCS56154.2022.10015990","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10015990","url":null,"abstract":"This paper proposes a multi-time scale low-carbon operation optimization strategy considering electricity gas heat hydrogen demand response and stepped carbon emission cost mechanism to realize the low-carbon economic operation of integrated energy system (IES). By optimizing the adjustability of the thermal power ratio of the coupling equipment, considering the stepped carbon emission cost mechanism, and weighing the hydrogen load demand beyond electricity, gas and heat, a multi-time scale optimization model with three stages of day ahead, intraday, rolling and real-time is established in this paper. In order to realize the rapid solution of the optimization problem, this paper takes the overall operation cost of IES, the cost of carbon emissions, and the cost of wind and light rejection as the economic goal, transforms the original nonlinear problem into a mixed integer linear problem, and calls the Gurobi solver to solve it. Finally, the effectiveness of the proposed strategy in promoting low-carbon operation, giving full play to the flexibility of system equipment and promoting clean energy consumption is verified by comparing and analyzing the optimization results of various situations through simulation.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126871079","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}
引用次数: 0
Design of a human-robot interaction system for robot teleoperation based on digital twinning 基于数字孪生的机器人遥操作人机交互系统设计
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016008
R. Xu, Weijun Wang, Wei Feng, Zhao-Wen Zhou, Boyoung An, Ruizhen Gao, Kaichen Zhou
{"title":"Design of a human-robot interaction system for robot teleoperation based on digital twinning","authors":"R. Xu, Weijun Wang, Wei Feng, Zhao-Wen Zhou, Boyoung An, Ruizhen Gao, Kaichen Zhou","doi":"10.1109/TOCS56154.2022.10016008","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016008","url":null,"abstract":"Human-robot interaction (HRI) research using vision for robot teleoperation is closely related to the development of the field of artificial intelligence. There are many teleoperation methods for imitating human postures by humanoid robots. However, it is not easy to fully parameterize human movements using collaborative robots because of the difference in morphology between humans and collaborative robots. This paper proposes a robot teleoperation and human-robot interaction method based on digital twin technology to try to solve this problem. Using this method, the operator can control the robot at a distance to accomplish complex tasks in an unstructured environment. The system integrates virtual reality technology to provide the operator with a first-person view of the robot. Then, a 3D human pose detection algorithm is proposed, through which the 3D coordinates of human torso, shoulder, elbow, and hand are captured and a digital twin model of the human body is created. In addition, a geometric vector method is proposed to calculate the upper limb joints of the human body and convert them into motion commands of the robot. Finally, teleoperated human-robot interaction experiments were conducted by the ELITE robot platform. We show that the system has good action imitation and dynamic behavior adaptation, which proves the effectiveness and feasibility of our proposed method.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123088498","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}
引用次数: 0
Research on Abnormal Data Monitoring of Intelligent Vehicle Communication Network 智能车载通信网络异常数据监控研究
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016101
Min Li
{"title":"Research on Abnormal Data Monitoring of Intelligent Vehicle Communication Network","authors":"Min Li","doi":"10.1109/TOCS56154.2022.10016101","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016101","url":null,"abstract":"At present, to precisely ensure the routine use of intelligent vehicles' communication network, accurate data transmission is of great importance, which can also, to some extent, improve the network failure management and maintenance of smart cars, thus affecting the intellectual analysis ability of intelligent cars. Therefore, it is very necessary to perform real-time monitoring of abnormal data in the everyday use of smart cars and their regular operation. Based on the detection of anomalous data of intelligent vehicles, an instantaneous frequency estimation method of signals transmitted by a communication network is proposed in this paper. In terms of abnormal data detection, after the time-frequency decomposition of the output signal of the collected communication network, the collected anomalous data can be detected by extraction, and then the detected and captured abnormal data is filtered to finally complete the characteristic extraction of the strange frequency of the abnormal data.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396766","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}
引用次数: 0
Research on Optimization of Customized Bus Dispatching by Genetic Algorithm and Intelligent Information System 基于遗传算法和智能信息系统的定制公交调度优化研究
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016111
Wen-Chao Shao, Baizheng Wang, Yanyan Han, Xiong Zhao, Qiang Zhang, Yihong Qin
{"title":"Research on Optimization of Customized Bus Dispatching by Genetic Algorithm and Intelligent Information System","authors":"Wen-Chao Shao, Baizheng Wang, Yanyan Han, Xiong Zhao, Qiang Zhang, Yihong Qin","doi":"10.1109/TOCS56154.2022.10016111","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016111","url":null,"abstract":"In order to solve the problem of the \"last mile\" of passengers traveling between their residences and transfer stations in low-density travel areas, this paper discusses the optimization of customized bus dispatching. Incorporate the effective connection of the customized bus and the main line bus operation into the optimization category, consider the impact of the joint dispatch of multiple vehicle types on the operation of the enterprise and the impact of the formation time reliability on the passenger satisfaction, in the known fleet size and passenger travel Under the premise of demand, the optimization goal is to construct a customized bus dispatching optimization model that considers passenger satisfaction with the maximum operating cost and minimum passenger satisfaction, and at the same time, a genetic algorithm solution model is designed. The research results show that the vehicle configuration scheme that adopts the joint scheduling of multiple vehicle types has a better operation effect, indicating that the model has a certain feasibility.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121036807","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}
引用次数: 0
Organizational Behavior Management System Based on Multi-Agent Algorithm 基于多agent算法的组织行为管理系统
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016209
Zhiru Wei
{"title":"Organizational Behavior Management System Based on Multi-Agent Algorithm","authors":"Zhiru Wei","doi":"10.1109/TOCS56154.2022.10016209","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016209","url":null,"abstract":"Self-organizing multi-agent system theory can be easily used to solve some complex problems that are still difficult to solve by combining the advantages and characteristics of self-organizing theory and multi-agent system theory. The purpose of this paper is based on Multi-Agent Algorithm Research Organizational Behavior Management System. Aiming at the problem that the existing multi-Agent-based organizational behavior management system has less application and implementation platforms, an organizational behavior management system based on multi-Agent algorithm is planned and implemented. The system configuration is centered on the multi-agent interaction subsystem and the vehicle behavior management subsystem, and the vehicle behavior management service is performed through the environment recognition input control system. The two organizational behavior management programs, AOM and OMACS, were tested. The results showed that when the number of Agents was 8, the average task completion quality AQ of the AOM organizational program was 106. The system has good efficiency and strong adaptability to complex real-time control environment.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121651673","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}
引用次数: 0
Deep Convolutional Neural Networks for Cancer Detection: Faster R-CNN, U-Net and GoogLeNet 用于癌症检测的深度卷积神经网络:更快的R-CNN, U-Net和GoogLeNet
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016154
Zirui He, Zeyan Liu, Bowen Wu
{"title":"Deep Convolutional Neural Networks for Cancer Detection: Faster R-CNN, U-Net and GoogLeNet","authors":"Zirui He, Zeyan Liu, Bowen Wu","doi":"10.1109/TOCS56154.2022.10016154","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016154","url":null,"abstract":"The emergence of deep learning as one of the key technologies involved in big data analysis has brought unprecedented progress to the medical field that adopts efficient and accurate models achieving good practical results in speech recognition, visual object classifications, cancer detection, drug discovery and many other fields. The main goal of this paper is to examine the popular methods of deep learning currently in the medical field. The major methodology includes Faster region-based convolutional network (Faster R-CNN), U-Net, and GoogLeNet. These three methods show outstanding performance than other popular deep models. Also, the combination of the two of these methods will also achieve decent accuracy like Faster R-CNN combining GoogLeNet. The article expounds on how the medical field takes advantage of these three CNN architectures to detect cancer from medical images. Moreover, incorporating the computer-aided detection (CAD) systems with the three models, doctors and radiologists efficiently and accurately perform the work of diagnosing cancer.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"7 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123783235","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}
引用次数: 0
Comparative Analysis of Positioning Capability of Beidou and GPS in Maritime Islands 北斗与GPS在海岛定位能力的比较分析
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10016067
Yuan He
{"title":"Comparative Analysis of Positioning Capability of Beidou and GPS in Maritime Islands","authors":"Yuan He","doi":"10.1109/TOCS56154.2022.10016067","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016067","url":null,"abstract":"After the full deployment of the Beidou-3 global satellite navigation system constellation, the positioning service range has been expanded from the Asia-Pacific region to the whole world. At present, most of the research on the positioning capability of Beidou system is on the mainland, and there is still room for research on the positioning capability of islands at sea. In this paper, the data of four IGS tracking stations distributed in islands are selected and solved by Anubis software. The visualization of Beidou and GPS is analyzed in five aspects: satellite visible number, standard single point positioning error, DOP value, signal-to-noise ratio, and multi-path effect. The results show that: (1) In the Asia-Pacific region, the positioning accuracy of Beidou's maritime islands is better than 0.734 m, 0.724 m, and 2.115 m in the N, E, and U directions, respectively, which is basically equivalent to GPS. Whereas, it is roughly 3 m, 3 m and 6 m lower than GPS outside the Asia-Pacific region, and the average number of visible satellites of Beidou in ANMG station and SOLO station is 15 and 11 respectively, which presumably means that the satellite density of Beidou system in the Asia-Pacific region is higher. (2) The average values of signal-to-noise ratio and multipath error of C22, C23, C24 and C25 stars of BeiDou are 41.638 dBHz and 0.574 m, respectively, which are basically comparable to those of G01, G02, G03 and G04 stars of GPS. The work done in this paper enriches the research related to the maritime positioning of Beidou system and plays a role in the globalization process of Beidou.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124960953","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}
引用次数: 0
A Feasibility Study of Microwave Metal and Dielectric Classification Based on Machine Learning Techniques 基于机器学习技术的微波金属和介质分类的可行性研究
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10015930
Gengyang Qie, Lixinran Tang, Mingdong Li
{"title":"A Feasibility Study of Microwave Metal and Dielectric Classification Based on Machine Learning Techniques","authors":"Gengyang Qie, Lixinran Tang, Mingdong Li","doi":"10.1109/TOCS56154.2022.10015930","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10015930","url":null,"abstract":"This paper studies the classification of metal and dielectric based on microwave signals using machine-learning techniques. Numerical simulations are applied to generate synthetic data. Training samples with metallic and dielectric objects are simulated, respectively. The synthetic data are then applied to the training and testing of Supporting Vector Machine (SVM) and Convolutional Neural Network (CNN). The average accuracy of SVM and BP is 82% and 98 %, respectively. The results indicate the feasibility of microwave metallic and dielectric targets classification using learning-based techniques, which can provide more a priori information for the subsequent imaging algorithms.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125197363","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}
引用次数: 0
Measurement and Analysis of Vibration Characteristic of 1000kV Reactor tank 1000kV反应堆储罐振动特性的测量与分析
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2022-12-11 DOI: 10.1109/TOCS56154.2022.10015917
Jingzhu Hu, Diandian Tang, Jingli Ren, Jiangong Zhang
{"title":"Measurement and Analysis of Vibration Characteristic of 1000kV Reactor tank","authors":"Jingzhu Hu, Diandian Tang, Jingli Ren, Jiangong Zhang","doi":"10.1109/TOCS56154.2022.10015917","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10015917","url":null,"abstract":"In order to obtain the vibration characteristics of 1000kV reactor, the acceleration signals of 1000kV three-phase reactor tank are fully measured. The analyses show that vibration energy of transformer concentrates on 100Hz, and the total vibration speed level can be equal to the 100Hz component with an error less than 1%. As the asymmetry of the reactor structure will affect its vibration distribution characteristics, the vibration distribution and the average vibration speed level of the four faces of the tank are different. Thus, the vibration and noise reduction and sound source modeling should be dealt separately of each tank face. The vibration of the reactor tank shows that vibration is stronger when the measuring point is closer to the middle position , and vibration of the stiffener structure is much smaller than that of the adjacent flat structure. It can be seen that the reinforcement can effectively reduce the vibration of the tank.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"31 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114053832","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}
引用次数: 1
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