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The 2nd International Conference on Computing and Data Science最新文献

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Research on Grid Expansion Planning and Reliability Balance under the Fusion of Energy Storage and Wind Power 储能与风电融合下电网扩容规划与可靠性平衡研究
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450480
Shumin Zhao, Xiuting Sun, Yonggang Li
{"title":"Research on Grid Expansion Planning and Reliability Balance under the Fusion of Energy Storage and Wind Power","authors":"Shumin Zhao, Xiuting Sun, Yonggang Li","doi":"10.1145/3448734.3450480","DOIUrl":"https://doi.org/10.1145/3448734.3450480","url":null,"abstract":"Based on sequential Monte Carlo method, the reliability evaluation of power systems with energy storage and wind power was carried out. The wind storage system was connected to IEEE-RBTS system for simulation, and the corresponding program was written with Matlab to calculate the reliability index reflecting the reliability level of the whole system. The specific influence of wind farm, energy storage system, energy storage capacity and maximum charge-discharge power of energy storage on the reliability of the system was discussed.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131810275","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
Automatic Terrain Generation System Based on Path Search Optimization 基于路径搜索优化的地形自动生成系统
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450483
Jiatong Liu, Dongdong Chen, Chengyou Zhang, Duyang Li, Xiaoyan Zhang
{"title":"Automatic Terrain Generation System Based on Path Search Optimization","authors":"Jiatong Liu, Dongdong Chen, Chengyou Zhang, Duyang Li, Xiaoyan Zhang","doi":"10.1145/3448734.3450483","DOIUrl":"https://doi.org/10.1145/3448734.3450483","url":null,"abstract":"In this paper, a random terrain automatic generation system is realized based on the routing optimization algorithm, which can reduce the repeated work of terrain making and avoid the restriction on too small terrain generation. The system can be used to generate and display random terrain and can be applied to map making of all kinds of games. The automatic random generation of terrain makes the game playable and exploratory according to the main plot set by the producer. We adopt Berlin noise as the seed random generator based on OpenGL to generate random path, and further to generate the random map. Compared with the existing random terrain generation, such as the creative workshop of crossing the fire line, the unmanned deep space, our model performs better in the following aspects. First, high performance. Compared with the existing methods in the same device environment, our model can increase the number of frames per second by tens. Second, high autonomy. Users can destroy and build the terrain which has been created to achieve the purpose of secondary creation. Third, high portability. Our system can generate general map files, which can be directly transplanted to unity and other existing map model processing tools. Overall, through the optimization of design and algorithm, compared with the existing terrain generation system, we have greatly improved the randomness of the map, the remolding of the play and the performance of the whole system.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130823482","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 and Design of Cloud Broadcasting System 云广播系统的研究与设计
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450454
Xuping Wang, Juanpeng Gong
{"title":"Research and Design of Cloud Broadcasting System","authors":"Xuping Wang, Juanpeng Gong","doi":"10.1145/3448734.3450454","DOIUrl":"https://doi.org/10.1145/3448734.3450454","url":null,"abstract":"Cloud Broadcasting is to change the traditional way of broadcasting to the cloud. Cloud broadcasting technology is a revolution in broadcasting technology. The research on cloud broadcasting technology is conducive to the development of broadcasting technology and at the same time promotes the integrated development of traditional media and new media. This article introduces cloud broadcasting technology. As one of the three key areas of the scientific and technological Winter Olympics Games, cloud broadcasting technology is based on 5G, cloud computing, artificial intelligence and other emerging technologies. Reduce costs, quickly deploy and respond quickly. Cloud processing can be effectively combined with ultra-high-definition, VR/AR interaction, AI value-added, big data analysis, etc., to promote all-media cloud-based production of video production and broadcasting, promote the vigorous development of the global video industry, and promote technological changes in the broadcasting industry. Provide innovative services for sports, media, entertainment, education and other industries.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131021305","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: 3
Learning Transaction Cohesiveness for Online Payment Fraud Detection 学习在线支付欺诈检测的交易内聚性
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450489
Jipeng Cui, Chungang Yan, Cheng Wang
{"title":"Learning Transaction Cohesiveness for Online Payment Fraud Detection","authors":"Jipeng Cui, Chungang Yan, Cheng Wang","doi":"10.1145/3448734.3450489","DOIUrl":"https://doi.org/10.1145/3448734.3450489","url":null,"abstract":"In the online payment fraud detection scenario, transactions are characterized by attributes. A fraud detection system makes use of the attributes to build a binary classifier that tells fraudulent transactions from legitimate ones. The key factor that affects the quality of a fraud detection system is how to extract useful features from transaction attributes. This paper proposes a novel automatic feature learning approach for online payment fraud detection. To begin with, it represents transaction attributes as vectors in a latent vector space. With these vectors, transaction cohesiveness is defined. By maximizing the probability that legitimate transactions have larger cohesiveness than fraudulent ones, the vector representations of attributes can be optimized. Experiments demonstrate that the selected classifiers trained with the cohesive features show superior performance than those with the original attributes.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114691939","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
QR Code Positioning Algorithm 二维码定位算法
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450895
Lei Liu, Qijin Wang, Yue Wu
{"title":"QR Code Positioning Algorithm","authors":"Lei Liu, Qijin Wang, Yue Wu","doi":"10.1145/3448734.3450895","DOIUrl":"https://doi.org/10.1145/3448734.3450895","url":null,"abstract":"With the advent of Internet of Things, barcode technology, which is important for information identification and collection, is developing rapidly. Quick response (QR) codes have wide applications in e-commerce, human recognition and advertisement marketing. At present, these codes can also be used in industrial and agricultural production lines. The performance of QR recognition technology depends on the pre-processed QR images. A complex background hinders the location and recognition of the QR code. Therefore, this study investigates the performance of QR code recognition technology under complex background. A QR image pre-processing method that combines image grey processing, filtering, projection-based initial location, binarisation, feature-based precise location, image rotation and geometric correction is proposed. In addition, new ideas for initial and precise locations are proposed. Results show that the proposed pre-processing method can achieve high effectiveness and efficiency in QR code positioning under complex background.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122013640","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
Kinematics Analysis of Anti-Terrorism Robot with Rigid-Flexible Parallel Closed Loop Linkage Mechanism 具有刚柔并联闭环机构的反恐机器人运动学分析
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450894
Yunlong Guo
{"title":"Kinematics Analysis of Anti-Terrorism Robot with Rigid-Flexible Parallel Closed Loop Linkage Mechanism","authors":"Yunlong Guo","doi":"10.1145/3448734.3450894","DOIUrl":"https://doi.org/10.1145/3448734.3450894","url":null,"abstract":"The flexible linkage and parallel mechanism is gradually introduced to the structural design of various types of the robots. For anti-terrorism robot, this article put forward a kind of rigid-flexible hybrid parallel close looped linkage mechanism. Firstly, the plane rigid-flexible hybrid close looped system model is established. On this basis, dynamic model is established by using Lagrange and assumed mode methods. Finally, the model which has been developed was simulated, and it was compared and analyzed with the rigid system. The results show that the rules of the energy variation of the new model are similar to general rigid system. Therefore it can be applied to the same applicable situation. Under external force, the change curve of kinetic energy of rigid-flexible system is gentler. It has a more significant characteristic of smoothening impact and is more applicative where there is more impact as a result.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129517822","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
Algorithm analysis of MCU automatic trimming 单片机自动修剪算法分析
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450855
Weikun Zhong, Jinghu Li, Na Niu, F. Fu
{"title":"Algorithm analysis of MCU automatic trimming","authors":"Weikun Zhong, Jinghu Li, Na Niu, F. Fu","doi":"10.1145/3448734.3450855","DOIUrl":"https://doi.org/10.1145/3448734.3450855","url":null,"abstract":"Due to the influence of craftsmanship and other issues, the MCU analog signal output will have a certain deviation, so in the design, trimming circuits will be reserved in the circuit, and these trimming circuits are controlled by registers. In order to quickly and accurately complete the MCU trimming work, an automatic trimming algorithm is used to trim an MCU chip. Improve the automatic trimming algorithm through several modules for MCU trimming, making the automatic trimming algorithm more accurate or complete faster. Applying the improved algorithm to an MCU chip, it is verified that the improved algorithm performance is significantly better.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128488656","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 3D Gesture Modeling Method and Its Application in 3D Gesture Prediction 一种三维手势建模方法及其在三维手势预测中的应用
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450937
Kexin Hang
{"title":"A 3D Gesture Modeling Method and Its Application in 3D Gesture Prediction","authors":"Kexin Hang","doi":"10.1145/3448734.3450937","DOIUrl":"https://doi.org/10.1145/3448734.3450937","url":null,"abstract":"In three-dimensional gesture recognition, it has always been a difficult problem to determine the accurate three-dimensional coordinates of the real hand. Direct use of image recognition cannot obtain complete information of hand joints. Even with the help of external equipment (such as data gloves and infrared recognition), there will be errors, which affect the accuracy of gesture recognition. However, on the other hand, the establishment of the virtual 3D model of the hand avoids this limitation and provides a new scheme for the 3D coordinate acquisition of the real hand. The research results of this paper have application value in sign language recognition, virtual environment interaction, user interface, robot arm grabbing, etc. In the field of sign language recognition, the recognized sign language can be translated to help deaf-mutes communicate with most people in sign language. In the interaction of the virtual environment, gestures in the real environment can be used to control the virtual hands in the virtual environment to make corresponding actions. In the application of user interface, users can communicate instructions to computers through gestures. In the field of grasping by robot manipulators, gestures can be used to control manipulators to complete tasks.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"164 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127524763","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
Research on Fake Rating Detection Algorithm Based on Deep Learning 基于深度学习的虚假评级检测算法研究
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450818
Xin Wang, Shujuan Ji, Yongquan Liang
{"title":"Research on Fake Rating Detection Algorithm Based on Deep Learning","authors":"Xin Wang, Shujuan Ji, Yongquan Liang","doi":"10.1145/3448734.3450818","DOIUrl":"https://doi.org/10.1145/3448734.3450818","url":null,"abstract":"In the e-commerce market, fake rating detection has been one of the key and difficult problems that disturb the e-commerce platforms. There have been a large number of researches on this topic all over the world, in which many algorithms and models have been proposed. Most of these algorithms are supervised and semi-supervised. However, few e-commerce platforms are willing to disclose their own transaction data and detection methods, thus it is challenging to perform theoretical studies on the detection algorithms. In order to address this challenge, this paper proposes a semi-supervised fake rating detection method based on deep learning (FRDDL) and e-commerce platform reputation evaluation method under the premise of using a small number of training samples and only considering the behavior characteristics of the buyers. The experimental results on the hotel rating data in Yelp showed that the proposed algorithm had better detection performance than the existing algorithms.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129996641","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: 4
Extraction of gene-disease association from literature using BioBERT 利用BioBERT从文献中提取基因与疾病的关联
The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450772
Chuan Deng, Jiahui Zou, Jingwen Deng, M. Bai
{"title":"Extraction of gene-disease association from literature using BioBERT","authors":"Chuan Deng, Jiahui Zou, Jingwen Deng, M. Bai","doi":"10.1145/3448734.3450772","DOIUrl":"https://doi.org/10.1145/3448734.3450772","url":null,"abstract":"With the rapid growth of biomedical literatures, there are a large amount of bio-text data to be exploited. A wealth of knowledge concerning diseases associated with genes is present in those bio-text which is important for studies like drug-target discovery, even provide personalized medical treatment for different patients' genome conditions. BioBERT as a pre-trained BERT model with large-scale biomedical corpora, was proved has a great performance over other pre-trained language models on biomedical datasets. To make the use of a large amount of bio-text, in this paper we provide a good practice that use BioBERT to extract the gene-disease associations from bio-text, and it achieved an overall F-score of 79.98%. Hoping to inspire researchers in the biomedical field of natural language processing and be able to make applications in related fields to solve the problems encountered in the research.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132322630","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: 4
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