{"title":"ASMAM: An Answer Summarization Mechanism Based on Multi-layer Attention Model","authors":"","doi":"10.25236/ajcis.2023.060901","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060901","url":null,"abstract":"At present, deep learning technologies have been widely used in the field of natural language process, such as text summarization. In Community Question Answering (CQA), the answer summary could help users get a complete answer quickly. There are still some problems with the current answer summary mechanism, such as semantic inconsistency, repetition of words, etc. In order to solve this, we propose a novel mechanism called ASMAM, which stands for Answer Summarization based on Multi-layer Attention Mechanism. Based on the traditional sequence to sequence (seq2seq), we introduce self-attention and multi-head attention mechanism respectively during sentence and text encoding, which could improve text representation ability of the model. In order to solve “long distance dependence” of Recurrent Neural Network (RNN) and too many parameters of Long Short-Term Memory (LSTM), we all use gated recurrent unit (GRU) as the neuron at the encoder and decoder sides. Experiments over the Yahoo! Answers dataset demonstrate that the coherence and fluency of the generated summary are all superior to the benchmark model in ROUGE evaluation system.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135750606","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":"Blockchain Model of Sensitive Information Identification in Social Online Games","authors":"Bai Jie, Duan Yanhui, Lu Tianliang","doi":"10.25236/ajcis.2021.040415","DOIUrl":"https://doi.org/10.25236/ajcis.2021.040415","url":null,"abstract":"This paper studies the sensitive information recognition and processing system in social online games. A real-time data mining framework for sensitive information on online games in the blockchain mode is proposed. A large-scale social online game chat room database is selected for testing, with SKLearn library based on Python is used for data preprocessing. The model training and verification are implemented through tensorflow. The results show that the accuracy of TextCNN is over 5% higher than that of Naive Bayes and CNN models for short text recognition in online game context, so TextCNN model can meet the requirements for high efficiency and accuracy of sensitive information recognition in large-scale online games. The conclusion proves that the blockchain-based online game sensitive information mining framework has the advantage of alliance chain hierarchical management, the characteristics of the distributed ledgers leaving traces in the whole process of information dissemination, and enhanced contract enforcement through the smart contracts and consensus mechanisms.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124874917","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 Grain System Evaluation Based on Fuzzy Evaluation System and GM(1,1) Method","authors":"Ruoyi Wang, Ming-shuo Xu, Biao Hou","doi":"10.25236/ajcis.2021.040414","DOIUrl":"https://doi.org/10.25236/ajcis.2021.040414","url":null,"abstract":"With the development of the world, the current food problem has increasingly become the focus of international attention. Even today, in times of peace, the global food system is unstable. Part of the reason for these instability is our current global system of large-scale national and international food producers and distributors. In this paper, the relevant indexes of the relevant food system are collected, and a new food system evaluation system is established by using the mathematical model, and the optimization, discussion and analysis are carried out. In this paper, a new grain evaluation system is established by using fuzzy comprehensive evaluation method, and taking China as an example, the current natural and human factors in China are given and calculated, and finally get 70.64 points. Finally, it is found that China can realize the optimization of its food system only when the human development index reaches the United States today, and then understood by the grey prediction model, China will not be able to achieve it until 2041 20 years later.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133634138","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":"The Automatic Sampler for UV Spectroscopy Toxicity Detection: Based on the Perspective of Binding Information with the Carrier Protein","authors":"Xiangshuai Li, Xiangfen Li, Zishi Wang, Hongliang Xu","doi":"10.25236/ajcis.2021.040413","DOIUrl":"https://doi.org/10.25236/ajcis.2021.040413","url":null,"abstract":"Studies have shown that high toxicity at all stages of drug development is a major limiting factor in getting a new drug to market. At present, a number of toxicity assay methods have been published in the literature. Most of them rely mainly on the UV spectrometer and manual injection. However, the manual injection has low accuracy of detection results, long detection time, complicated operation, cross-contamination, and inadequate safety factor. Therefore, it is necessary to develop an automatic sampler that is used in combination with a platform for predicting drug toxicity based on carrier protein binding information and an ultraviolet spectrophotometer. The automatic sampler for UV spectroscopy toxicity detection uses the quartz cell gripper to clamp the quartz cell and realizes the precise automatic sample injection function through the position sensor. Through the movement simulation, the whole moving process is smooth and without interference, and the movement position of the quartz cell is accurate. The research and development of the automatic sampler for UV spectroscopy toxicity detection will significantly promote the precise detection of toxicity in the early stage of drug development. The development of UV spectral toxicity detection autosampler will provide hardware support for the precise detection of toxicity in the early stage of drug development. At the same time, it will significantly shorten the drug R&D process and save a lot of R&D expenses for drug R&D.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132562371","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}
Jingjing Cao, Wang Ye, Wang Ying, Xiaoxia Zhang, Zhang Xue
{"title":"Research on talent data analysis method based on Text Mining","authors":"Jingjing Cao, Wang Ye, Wang Ying, Xiaoxia Zhang, Zhang Xue","doi":"10.25236/AJCIS.2021.040410","DOIUrl":"https://doi.org/10.25236/AJCIS.2021.040410","url":null,"abstract":"In order to solve the problem of low clustering contour coefficient caused by inaccurate keyword extraction of talent data information, a talent data analysis method based on text mining is proposed. Through the preprocessing of word segmentation and stop words, the text set of talent data is established, and the keyword graph is constructed by text mining, and the information keywords are obtained according to the weight iteration results. The keywords in this paper are transformed into the form of multi-dimensional vector, and the similarity is calculated to get the results of text analysis. The experimental results show that the contour coefficient of the proposed method is 0.736, which is 0.267 and 0.221 higher than that of the K-means and single pass methods, respectively. The design method of this paper has a reasonable clustering performance, which is suitable for talent big data analysis.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478278","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":"Edge Caching Strategy Based on User Preference and Game Theory","authors":"Xichen Jia","doi":"10.25236/AJCIS.2021.040412","DOIUrl":"https://doi.org/10.25236/AJCIS.2021.040412","url":null,"abstract":"Caching video content to the mobile edge server is an effective solution to avoid multiple repeated requests from mobile terminal devices, reduce latency costs, and improve user QoE. In addition, mobile users in nearby areas tend to request the same video resource task, so reasonable deployment of video content to edge servers can effectively reduce the response time of user requests. This fact prompted us to design a caching strategy based on user preferences. The system model considered in this article contains multiple mobile users, multiple servers, and remote central servers. Based on the recommendation system predicting the user’s preference for specific video resources, the recommended value ranking of the video resources in the future time period is obtained, and then based on the game theory method, in each edge cache server, each video resource is calculated for the local area and neighboring areas. The cache value of the area, based on the cache value of the video resource to be cached, minimizes the delay for users to obtain the video resource, and obtains the optimal video resource cache distribution strategy. The simulation experiment results show that compared with other caching strategies, the proposed caching strategy is better than other caching strategies in terms of response time and cache task hit rate.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126455202","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 Security of Accounting Information System in the Big Data Era","authors":"Bo Hu","doi":"10.25236/AJCIS.2021.040411","DOIUrl":"https://doi.org/10.25236/AJCIS.2021.040411","url":null,"abstract":"Since the 21st century, information technology has made tremendous progress. Especially in recent years, the concept of big data has attracted more and more attention. Accounting information security and the construction and maintenance of accounting information systems are also facing huge opportunities and challenges. At present, in the era of big data, the importance of accounting information security and accounting work is increasing day by day. If the accounting information system is not properly analyzed, it will lead to the disclosure of financial information, and in severe cases, it will even harm the economic interests of the enterprise. This article analyzes the development of accounting information system security with the theme of strengthening information security.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123905156","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":"EPES comprehensive evaluation model of grain system based on principal component analysis","authors":"Zuyi Zhang, Yiping Cao, Kaishuo Liu","doi":"10.25236/AJCIS.2021.040409","DOIUrl":"https://doi.org/10.25236/AJCIS.2021.040409","url":null,"abstract":"The establishment of a coordinated food system is the basis for supporting economic development, protecting the natural environment and maintaining social achievements. In our paper, three countries with large grain output and rich grain system -- the United States, India and Brazil were selected as the research objects. Firstly, the EPES comprehensive evaluation model of grain system based on principal component analysis and analytic hierarchy process was established to realize the comprehensive evaluation of four subsystems of grain system at three national scales. The sensitivity analysis of the consumer price index in the evaluation model is also carried out.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"37 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127380584","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}
Ruifeng Zhang, S. Zhao, Shuqi Chen, Xinyu Lu, Chenxi Du
{"title":"Research on UAV Decision Based on Weighted Distance Functions","authors":"Ruifeng Zhang, S. Zhao, Shuqi Chen, Xinyu Lu, Chenxi Du","doi":"10.25236/AJCIS.2021.040407","DOIUrl":"https://doi.org/10.25236/AJCIS.2021.040407","url":null,"abstract":"This paper mainly studies the optimal quantity, distribution model. This paper defined the working mechanism of cooperation between SSA UAV and radio relay UAV. We according to the distance relationship between different latitude and longitude on the earth, we use discretization to process a large number of data points which are used as discrete ignition points. The shortest weighted distance between EOC and each ignition point is obtained by Matlab software simulation. Finally, we given the optimal number and combination of UAV and radio relay UAV are 21 SSA UAV and 734 radio relay UAV.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131401505","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":"Fingerprint cipher design and matching based on orientation pattern","authors":"Yang Yue, Haomiao Niu, Senhao Jiang","doi":"10.25236/AJCIS.2021.040408","DOIUrl":"https://doi.org/10.25236/AJCIS.2021.040408","url":null,"abstract":"First, the image is normalized to improve the clarity of the fingerprint image, and then the fingerprint image is cut to improve the accuracy of feature extraction. Then the fingerprint image is smoothed to reduce the noise. Based on the obvious directionality of fingerprint image orientation, the trend of striations was analyzed by the slicing method, and based on orientation, the binarization refinement operation was carried out to eliminate the skeleton of the fingerprint. When the detail feature points are determined on the fingerprint skeleton image, the relationship between the feature points and the core points can be compared to determine whether the fingerprint matches. Before matching, the effective feature points are obtained by two methods: edge removal and distance removal. After the coordinates of feature points are obtained, a series of simplified and abstract operations are carried out to convert the coordinates into hexadecimal numbers and arrange them according to certain rules. Finally, the \"fingerprint password\" of less than 200 bytes is obtained.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127761853","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}