Zhang Yanbin, Feng Shuangchang, Li Zheyi, Chen Jie
{"title":"Research On Intelligent Lighting System Of Elevator Ground Gap","authors":"Zhang Yanbin, Feng Shuangchang, Li Zheyi, Chen Jie","doi":"10.1109/ICHCI51889.2020.00013","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00013","url":null,"abstract":"In recent years, with the development of urbanization, the number of elevators inside the buildings has increased exponentially. The elevator has become an indispensable and significant component of modern people's life, and it also brings great convenience to people's travel. However, when an accident of the elevator takes place, it will also gives rise to great panic. In order to make sure the normal and safe operation of the elevator, the corresponding measures of safety protection of the elevator are particularly significant. A good protective measure will properly remind or protect the passengers straying into the dangerous area and improve the safety coefficient of the elevator. The gap between the elevator car door ground and the landing ground is a blind spot for the passengers, and there is a risk of tripping and wrestling. In this paper, the author introduces a system of intelligent lighting control for the gap ground of the elevator, and demonstrates the use method and application value of this system from the following three perspectives: system installation, function design and advantages.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128668940","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":"Spectral Clustering Based Millimeter-Wave Beam Management in V2I Networks","authors":"Z. Lin, Yifeng Zhao, Lianfeng Huang, Zhiyuan Shi","doi":"10.1109/ICHCI51889.2020.00039","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00039","url":null,"abstract":"The efficient beam management of millimeter-wave(mmWave) is a crucial component in Vehicle to Internet(V2I) networks and has attracted widespread attention in the automotive industry and academia. This paper uses the cellular automata theory to establish a detailed one-way two-lane vehicle mmWave communication network model. Then the beam resource allocation optimization problem is decomposed into two sub-problems: sub-network division and resource allocation in sub-networks. Inspired by the spectral clustering algorithm, this paper focuses on the characteristics of the V2I network and transforms the problem of resource allocation into a problem of graph division. Using a graph-based spectral clustering algorithm, the decomposition of sub-networks is relized. The simulation results show that the proposed algorithm can achieve a significant improvement in spectrum utilization and system throughput.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125986615","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":"Gender recognition based on face image","authors":"Meiyan Zhang, Jinwei Sun, Dan Liu, Qisong Wang","doi":"10.1109/ICHCI51889.2020.00037","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00037","url":null,"abstract":"The research on the biometrics recognition of facial image has made great progress. Compared with other biometrics, facial features are stable, simple, intuitive, friendly, non-intrusive, and easily accepted by people. Therefore, facial gender recognition technologies have been successfully applied to many commercial fields. However, the current gender recognition methods still have shortcomings such as low recognition rate and easily affected by surroundings. For this reason, a gender recognition method based on BP neural network is proposed. Firstly, this paper preprocesses the face images, extracts feature of face images, designs a BP neural network and uses the feature parameters to train BP neural network. Afterwards, a classifier based on the face image is obtained. Finally, the classifier is tested using pictures from the database, if demands are not met, BP neural network parameters would be redesigned and the training would be conducted on the BP neural network.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127178272","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":"Matlab Practice Research on Calculation of Internal Force and Deformation of Members in the Course","authors":"Gerile Gerile","doi":"10.1109/ICHCI51889.2020.00055","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00055","url":null,"abstract":"This article combines the Matlab application strategy to analyze the Matlab software process and application advantages. The content of this article includes how to clarify the implementation goals, determine the implementation principles, do a good job in content selection, teaching design, teaching experience summary, etc. The author studied the analysis of statically indeterminate problems in Matlab, the analysis of statically indeterminate problems, the deformation calculation of tension (compression) members, the calculation of torsion deformation of equal straight rods, and the deformation calculation of statically determinate beams. The author’s purpose is to improve the teaching effect of the course and improve students’ comprehensive learning ability.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125383032","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":"Utilizing BERT for Detecting Aspect Categories on TABSA via Adjusting Self-attention among Words","authors":"Hong Hong, Jiawen Song","doi":"10.1109/ICHCI51889.2020.00022","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00022","url":null,"abstract":"Aspect-based sentiment analysis (ABSA) has become a popular research topic in recent years due to its strong function of breaking down text into aspects and identifying sentiment polarity towards a specific target, generating a significant amount of discussion among researchers. Motivated by recent work of application of sentence-pair classification task into ABSA, this article discusses how to further fine-tune the pre-trained Bidirectional Encoder Representations from Transformers (BERT) model and obtain the results on SentiHood dataset. In a contrast to the previous work, this article considers that the sentiment analysis has relations to every single word in each sentence and shows the process of modifying the forward network in BERT to create self-attention between words. The proposed model demonstrates a certain degree of improvement in some aspects, in particular to aspect category detection.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127817058","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}
Yuan Guichun, Feng Liuping, Ning Jing, Yang Xiaoyu
{"title":"Survey on the application of blockchain in Digital Rights Protection","authors":"Yuan Guichun, Feng Liuping, Ning Jing, Yang Xiaoyu","doi":"10.1109/ICHCI51889.2020.00047","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00047","url":null,"abstract":"The current Digital Rights Management (DRM) is a centralized management system, that the private and sensitive information may be leaked, and data barriers exist between various platforms. The decentralization and traceability of blockchain provide new ideas and solutions for the standardization of digital rights protection. The consensus algorithm is the core of blockchain technology, but it cannot be directly applied to digital rights protection because of their drawbacks. Researchers have optimized and improved the consensus algorithm to meet the needs of digital rights protection. This paper reviews the application of blockchain in digital rights protection, and analyses their improvements of the consensus algorithm.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131758685","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":"Path Planning Algorithm for UAV in Complex Environment Based on State Change","authors":"Qijie Chen, Tinglong Yan, Taoyu Wang, Tong Zhang","doi":"10.1109/ICHCI51889.2020.00073","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00073","url":null,"abstract":"Based on the physical phenomenon that the voltage across the ideal inductance element changes with the ideal power supply voltage in the circuit, a new path planning algorithm in the complex environment of UAVs is proposed. Aiming at the tracking problem of dynamic targets, a state transition matrix is proposed to realize the tracking of dynamic targets; for the obstacle avoidance problem of dynamic obstacles, the state change of the UAV is used to define the amount of state change to achieve dynamic obstacle avoidance; using state superposition, to achieve obstacle avoidance and tracking of dynamic targets in complex environments. The simulation results show that this method can effectively avoid obstacles and track dynamic targets, with low computational complexity and strong real-time performance.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133963139","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 Management Method of Urban Literacy Based on Information","authors":"Yahui Tian, Peng Liu, Shuran Lyu","doi":"10.1109/ICHCI51889.2020.00014","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00014","url":null,"abstract":"With the rapid development of information technology in today's society, the combination of educational methods and information technology has become a development trend. However, how to select appropriate information methods to improve literacy education is an important issue that needs to be resolved. In response to this problem, this article will propose a new adaptive learning model for information literacy education, which can customize the perception of citizens’ literacy level, formulate targeted and reasonable education and training programs, and improve citizens’ information literacy education. Firstly, This research design the overall framework of the adaptive model, including citizens’ literacy level, cognitive level, and preference information; secondly, quantify the citizens’ preferences and current literacy level, so that the system established by the adaptive model can better identify learners’ characteristics, And use this as the basis for recommending programs for improving citizens’ literacy. Finally, a comparative analysis is made from the two aspects of citizen satisfaction and testers’ performance to verify the effect of citizens’ information literacy enhancement.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127209655","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 Wei, Mingwei Hui, Beibei Zhang, R. Scherer, Fan Gao, Robertas Damaševičius
{"title":"Research on variable scale algorithm","authors":"Wei Wei, Mingwei Hui, Beibei Zhang, R. Scherer, Fan Gao, Robertas Damaševičius","doi":"10.1109/ICHCI51889.2020.00074","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00074","url":null,"abstract":"This paper is mainly to study the calculation characteristics of different iterative matrices H(k+1) for different function types in the variable scale algorithm. After calculating and analyzing the polynomial function, non-polynomial function, and selecting different initial points for these two functions, research found that for simple polynomial functions, exponential functions, and even complex functions combined with the two Choosing any variable-scale matrix algorithm can quickly calculate the result, and it is basically not affected by the initial point selection. In the process of solving the “banana function” in the polynomial function, the DFP algorithm is optimal in terms of the number of iterations and the calculation time. Although the BFGS algorithm has better numerical stability, it is better for the “banana function” The calculation time is relatively long, and there are many iterations. When studying the logarithmic function, this article found that the performance of the “banana function” is not good, but the calculation performance of the BFGS(2) algorithm is the best. Finally, this article selected different initial points for the two functions and found that the numerical decline of the DFP algorithm is indeed unstable, while the BFGS algorithm is more stable than it, especially the BFGS(3) algorithm, which has the smallest change.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116662760","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 progress of face recognition based on deep learning","authors":"Bo Ma","doi":"10.1109/ICHCI51889.2020.00093","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00093","url":null,"abstract":"Compared with static face recognition, dynamic face recognition has more practical value and research value.However, there are still some difficulties and challenges in dynamic face recognition in video.Dynamic faces obtained under video and unconstrained conditions are subject to complex interference factors such as posture change, expression and side face, which makes it more difficult to recognize them.To solve the above problems, based on the deep learning method, the dynamic face recognition method is further studied.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128828989","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}