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Optimization of Turning Process Parameters of A7075/ZrO2 Metal Matrix Composites A7075/ZrO2金属基复合材料车削工艺参数优化
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12sp5/20201808
K. Durga, G. Rao, G. S. Rao
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引用次数: 0
Homomorphic RASD Framework & Its Use in Data Storage in Cloud Computing 同态RASD框架及其在云计算数据存储中的应用
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12sp5/20201795
Bhopendra Singh
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引用次数: 0
Factors Affecting Disclosure of Accounting Information And Impacts of A Six Factor Model on DCM Stock Price in Agriculture & Commerce Sector in Vietnam - And Roles of It Governance & Data Security in Risk Management 越南农业和商业部门会计信息披露的影响因素及六因素模型对DCM股价的影响——以及It治理和数据安全在风险管理中的作用
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12i5/20201722
Hoang Thi Hong Van, H. Thực, D. Huy, N. T. Hiền, Nguyễn Văn Bảo
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引用次数: 0
An Analysis on EFL Teacher Professional Competences Required for Test Construction: based on the Activity of a Collaborative Test Construction in China 测试构建所需的英语教师专业能力分析——基于中国协同测试构建活动的分析
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12sp5/20201797
Qihua Sun, A. J. Sihes
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引用次数: 0
A Community-based Algorithm for Deriving Users’ Profiles from Egocentrics Networks 基于社区的自我中心网络用户轮廓提取算法
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12sp5/20201870
Yassir Aadil, H. Ouzif, I. E. Achkar, H. Labriji
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引用次数: 0
Supplier Selection in a Manufacturing Industry Using AHP, Fuzzy and Neural Network: A Study Using Multi Criteria Decision Making Methods 基于AHP、模糊和神经网络的制造业供应商选择:多准则决策方法研究
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12sp5/20201784
R. Muruganandham, Sakthirama, A. Basha, S. Abuthakeer, Sivakumar S.D.
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引用次数: 1
Twitter Sentimental Analysis 推特情感分析
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12sp5/20201828
S. Singh, B. Dwarakanath, S. Santhoshini, J. Mary
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引用次数: 2
Identification of Misconceptions about Corona Outbreak Using Trigrams and Weighted TF-IDF Model 使用三元组和加权TF-IDF模型识别关于冠状病毒爆发的误解
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12sp5/20201788
Sujatha Arun Kokatnoor, Balachandran Krishnan
Misconceptions of a particular issue like health, diseases, politics, government policies, epidemics and pandemics have been a social issue for a number of years, particularly after the advent of social media, and often spread faster than true truth The engagement with social media like Twitter being one of the most prominent news outlets continuing is a major source of information today, particularly the information distributed around the network In this paper, the efficacy of Misconception Detection System was tested on Corona Pandemic Dataset extracted from Twitter posts A Trigram and a weighted TF-IDF Model followed by a supervised classifier were used for categorizing the dataset into two classes: one with misconceptions about COVID-19 virus and the other comprising correct and authenticated information Trigrams were more reliable as the functional words related to coronavirus appeared more frequently in the corpus created The proposed system using a combination of trigrams and weighted TF-IDF gave relevant and a normalized score leading to an efficient creation of vector space model and this has yielded good performance results when compared with traditional approaches using Bag of Words and Count Vectorizer technique where the vector space model was created only through word count © 2020, Institute of Advanced Scientific Research, Inc All rights reserved
对健康、疾病、政治、政府政策、流行病和流行病等特定问题的误解多年来一直是一个社会问题,特别是在社交媒体出现之后,而且往往比真实的真相传播得更快。与社交媒体(如Twitter)的接触是最突出的新闻媒体之一,继续是当今信息的主要来源,特别是在网络上分发的信息。在从Twitter帖子中提取的冠状病毒大流行数据集上测试了误解检测系统的有效性。使用Trigram和加权TF-IDF模型以及监督分类器将数据集分为两类:一个包含对COVID-19病毒的误解,另一个包含正确和经过认证的信息三元组更可靠,因为与冠状病毒相关的功能词在创建的语料库中出现的频率更高。该系统使用三元组和加权TF-IDF的组合给出了相关和标准化的分数,从而有效地创建向量空间模型,与使用words Bag的传统方法相比,这产生了良好的性能结果和Count Vectorizer技术,其中向量空间模型仅通过字数统计创建©2020,Institute of Advanced Scientific Research, Inc
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引用次数: 1
Re-victimization of Rape Victims in Criminal Justice System in Sri Lanka: An Exploration 斯里兰卡刑事司法系统中强奸受害者的再受害:探索
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12sp5/20201899
Muthukuda Arachchige Dona Shiroma Jeeva Shirajanie, N. Chakrabarti, A. Mitra
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引用次数: 0
Effect of Organizational Climate on Service Quality at Universitas Kristen Indonesia 组织氛围对印尼克里斯汀大学服务质量的影响
Pub Date : 2020-05-30 DOI: 10.5373/jardcs/v12i5/20201970
Edison Siregar
---This study is about the effect of organizational climate on service quality. The purpose of doing this study is finding out the effect of organizational climate on service quality. It was done at Universitas Kristen Indonesia (UKI). The method of the study used is quantitative with survey design. The population of the study is the employees of UKI (234 Employees) while the sample of the study is 150 employees. The instrument of this study was a set of questionnaire which consisted of 27 statements. The data analysis technique used is descriptive data analysis techniques, data analysis with statistical statistics and test the analysis requirements. The findings of facts and data in the analysis of this study further support the direct influence between organizational climate and service quality. From the finding, it is concluded that the increasing organizational climate will have an impact on improving the quality of service for employees of the Universitas Kristen Indonesia.
——本研究是关于组织氛围对服务质量的影响。本研究旨在探讨组织氛围对服务品质的影响。这项研究是在印尼克里斯汀大学进行的。本研究采用定量调查设计方法。本研究的人口为UKI的员工(234名员工),研究的样本为150名员工。本研究的工具是一套由27个陈述组成的问卷。所采用的数据分析技术是描述性数据分析技术,数据分析具有统计统计和检验分析的要求。本研究的事实和数据分析结果进一步支持了组织氛围与服务质量之间的直接影响。从这一发现,它的结论是,不断增加的组织气候将对提高印尼克里斯汀大学员工的服务质量产生影响。
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引用次数: 1
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Journal of Advanced Research in Dynamical and Control Systems
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