{"title":"Research on Contribution Analysis of Hubei Risk Big Data Based on RBF Neural Network","authors":"Guizhong Sheng, Yu-Nung Yang","doi":"10.1109/TOCS56154.2022.10016023","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016023","url":null,"abstract":"Studying regional risk big data is conducive to reducing local risks, stabilizing and developing. This paper selects the annual data of Hubei Province in China from 2006 to 2020, and constructs a basic risk big data indicator system. The coefficient of variation method was used to process the data, and the radial basis function neural network was used for training and testing to quantify the 15-year risk coefficient of Hubei Province. According to the research results, the main and secondary factors affecting the risk in Hubei Province were identified. Determining the non-performing loan ratio has a great impact on local financial risks, which is of certain significance for preventing and resolving local risks and providing risk advice for city managers..","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"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":"125929578","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":"Application Research of Computer AI Technology in Flat Landscape Garden Design System","authors":"Xun Zhou, Liao Bi","doi":"10.1109/TOCS56154.2022.10015927","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10015927","url":null,"abstract":"The current computer AI technology reconstruction system does not use the feature matching algorithm to extract the spatial pattern features in the urban garden landscape image. This results in lower reconstruction accuracy. This paper innovatively designs a three-dimensional AI reconstruction system for urban garden landscape spatial pattern. In this paper, two-dimensional images of urban garden landscapes are collected by ZED binocular stereo cameras. Then, in this paper, the collected two-dimensional images are preprocessed through disparity map repair and refinement, and then the SIFT correlation feature matching algorithm is used to extract the spatial pattern features of the preprocessed images. This paper uses the texture mapping function of 3D point cloud to map the spatial pattern features of the image to the 3D point cloud model. At the same time, this paper adds the digital image color attribute information to the 3D point cloud model through the OpenGL image library. In this way, three-dimensional AI reconstruction of urban garden landscape spatial pattern is realized. The simulation results show that the gradient pattern optimized by the proposed method has many species and uniform distribution. The method proposed in this paper can effectively optimize the spatial pattern gradient of garden landscape.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"178 3 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":"129987648","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":"A yield prediction and optimization method based on nonparametric boundary analysis","authors":"Huatong Zheng, L. Zhou","doi":"10.1109/TOCS56154.2022.10015977","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10015977","url":null,"abstract":"With the expansion of integrated circuit technology and the increase of design complexity, the challenges related to circuit yield prediction have intensified. In order to predict circuit yield quickly and effectively, we propose a yield prediction algorithm, which obtain the lower limit of the circuit yield by analyzing the circuit simulation results at the boundary points. Based on kernel density estimation and nonparametric boundary framework, this method aims to select some boundary points from a batch of data for simulation, rather than all data to simulate. It is compared with neural network model and traditional Monte Carlo method to illustrate the feasibility of this method. At the same time, a circuit parameter optimization algorithm based on kernel estimation is proposed to improve the circuit yield. The experimental results show that compared with the traditional Monte Carlo simulation results and artificial neural network model, the proposed algorithm greatly reduces the number of circuit simulations while obtaining the yield, and can effectively improve the yield of the circuit.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"26 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":"129670049","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":"Application of Artificial Intelligence in Playing Cards","authors":"Qiyue Chen","doi":"10.1109/TOCS56154.2022.10016055","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016055","url":null,"abstract":"Artificial intelligence has invaded into fields of chess playing with the weapon of supervised, deep and reinforcement learning. However, the problem whether artificial intelligence could qualify for the incomplete information system such as playing cards is still open. Efforts have made towards numerous games all of which have professional experience, so it remains the problem of developing a system from scratch without human’s help. In this study, a model combining the Monte-Carlo method and decorated self-Reinforcement Learning was proposed to tackle such problem. To be more specific, a card game called \"Zhengshangyou\" was chose to verify the proposed method. It requires two players competing each other with a pack of card including the Jokers. In addition, the rules of this game and the designed Artificial Intelligence (AI) algorithm are presented and explained in this study to provide a clear mechanism. The method has promising through theoretical and experimental analysis.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"44 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":"125642999","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":"Design and research on business processor of electricity consumption information collection system","authors":"C. Zhang, Jun Sun, Yuhang Xiao, Chun Guo, Xu Dong","doi":"10.1109/TOCS56154.2022.10016206","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016206","url":null,"abstract":"Aiming at the problems of large communication demand, poor communication quality and communication time delay of the business processor of the electricity consumption information collection system, a new design scheme is proposed. The solution uses a hierarchical design method to realize the front-end processor architecture design. The structure includes the data collection layer, gateway interface layer, collection application layer, and front-end processor application layer, which improves the operation and monitoring of the business processor of the electricity information collection system. ability. The program also uses the Communication Resource Optimization Routing Algorithm (CRORA) for communication resource optimization to realize the reasonable distribution of communication resources. The communication channel allocation algorithm of the service processor is also used to improve the communication quality. When the total signal power is a fixed value, the communication resources are reasonably classified, and the sub-signal carriers with different signal gains are allocated to reasonable channels, which improves the communication of the service processor. Capacity. Experiments show that the method in this study is highly efficient and accurate.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"28 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":"127264616","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":"Closed-loop control design of intermediate frequency modulated lower limb rehabilitation electrical stimulation system based on NARMAX model","authors":"Jingwen Yang, Fenghua Shu","doi":"10.1109/TOCS56154.2022.10016114","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016114","url":null,"abstract":"Functional electrical stimulation (FES) uses voltage signals to activate lower limb muscles to drive knee joints for limb rehabilitation. In order to solve the problems that the existing FES electrical stimulation platform has few channels, stimulation parameters cannot be adjusted in real time, and patients feel strong pain under low-frequency stimulation, a multi-channel adjustable electrical stimulation platform for lower limb rehabilitation based on modulated intermediate frequency (MFE) electrical stimulation was designed.Using AVR128 as the main control chip, the whole electrical stimulation system mainly includes waveform generation module, amplitude regulation module, booster module and man-machine interaction module.For different patients with different electrical stimulation parameters needed for real-time control, this paper established the NARMAX model with adaptive PID feedback closed-loop system, to achieve a more stable and accurate parameter Settings. Through experimental verification and analysis, the results show that the electrical stimulation system proposed in this paper can make the subjects achieve close to the expected joint movement trajectory under the premise of more comfortable, and can be used for the rehabilitation training of lower limb electrical stimulation.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"26 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":"122823541","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 System of Composite Resonant Pulse Battery Repair Equipment","authors":"Xiaoqing Tang, Yaolin Zhao, Zhoufang Zhao","doi":"10.1109/TOCS56154.2022.10016196","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016196","url":null,"abstract":"This paper proposes a repair method of the combination of positive and negative pulses and high-frequency resonance for valve-regulated lead-acid batteries that cause capacity decline due to sulfation. The method enables one set of circuits to generate three working and vulcanizing principles for repairing waveform lead-acid batteries. Firstly, this paper discusses the principle of pulse fast charging and resonant composite pulse charging. Secondly, this paper designs a battery repairing charging and discharging system from both hardware and software aspects. At the same time, this paper combines the fuzzy algorithm in the software design to realize the intelligent control of the charging process. Finally, the system is verified by repair experiments. The test results show that the system can greatly increase the capacity of the backward lead-acid battery.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"23 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":"116516022","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":"Simulation Research on Space Charge of High Voltage XLPE Cable under Different Working Conditions","authors":"Yule Sun, Guo-bin Qiu, Zehong Yang","doi":"10.1109/TOCS56154.2022.10015991","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10015991","url":null,"abstract":"DC XLPE cables have many advantages and are widely used in power transmission. The problem of space charge accumulation in DC cables has become the focus of attention. There is a lack of research on the charge distribution in XLPE under different working conditions. In this paper, the space charge distribution in the XLPE under aging, temperature gradient, and the presence of bubble defects is studied and simulated in COMSOL software based on the ambipolar carrier transport model. The research results show that the average charge density increases by 2.2% and 6.23% after electro-thermal aging for ten days and 30 days, which is close to the test results in the literature. When there is a temperature gradient in XLPE, the charge density on the side with higher temperature is more significant than that on the side with lower temperature, and the higher the temperature, the greater the mobility, resulting in deeper charge injection depth. When there is a bubble defect, a \"recessed area\" of charges is formed in the bubble, the charge density in the bubble is lower than that of the surrounding XLPE, and the charge accumulation at the interface between the bubble and XLPE is evident. The research results will provide a specific basis for the safe operation of DC XLPE cables.","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":"125488000","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}
Jianhua Zhou, Fuhu Xiao, Jun Liu, Guangzheng Tian, Jianpeng Fu
{"title":"Design of underwater mobile platform suitable for nuclear reactor environment","authors":"Jianhua Zhou, Fuhu Xiao, Jun Liu, Guangzheng Tian, Jianpeng Fu","doi":"10.1109/TOCS56154.2022.10016072","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016072","url":null,"abstract":"Aiming at the working conditions of mobile platform under extreme conditions such as nuclear reactor, an underwater mobile platform mechanism suitable for nuclear environment is designed in this paper. S316l stainless steel is selected as the manufacturing material of the mechanism, so that the car body has good corrosion resistance and radiation resistance; In order to reduce the pollution to the nuclear environment during the movement of the mobile platform, the mcnamu wheel chassis is adopted for the mobile and steering mechanism, which not only reduces the friction between the ground and the wheels in the steering process, but also ensures the mobility and flexibility of the underwater mobile platform. The platform is also equipped with a lifting mechanism to transport the working devices installed on the platform and realize the corresponding functions. At the same time, in response to the needs of field work, the platform is equipped with corresponding electrical control system to realize the remote operation and monitoring of the mobile platform.","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":"125489141","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 the Automation System of the Intelligent Analysis and Evaluation Platform for Distribution Network Changes","authors":"Lei Chen, M. Tan, Tao Xu","doi":"10.1109/TOCS56154.2022.10016173","DOIUrl":"https://doi.org/10.1109/TOCS56154.2022.10016173","url":null,"abstract":"This paper uses big data technology to mine distribution network operation rules from massive power big data, and establishes an accurate early warning model for distribution network changes to predict the occurrence of changes such as overload, low voltage and other abnormal events in advance. In this paper, a switch abnormality sensing and adaptive correction algorithm is proposed to realize the sensing of tie switch abnormality loop closure, locate the optimal loop solution point and program the loop solution. The study found that the distribution network model management of the change order can partially solve the problems of the accuracy and timeliness of the distribution network information integration. This system can meet the requirements of atomicity and integrity of model management.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"7 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":"121393708","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}