Proceedings of the 3rd International Conference on Information Science and Systems最新文献_第4页

Deep Learning for Pixel-based Edge Models Classification of Tertiary Dentine Images 基于像素边缘模型的深度学习三级牙本质图像分类

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2020-03-19 DOI: 10.1145/3388176.3388197

S. Riyadi, Siti Mayanti, Cahya Damarjati, Sartika Puspita

引用次数: 2

Legal Judgement Prediction for UK Courts 英国法院的法律判决预测

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2020-03-19 DOI: 10.1145/3388176.3388183

Benjamin Strickson, B. Iglesia

引用次数: 35

Adaptive Height Table and Chair System Based On Face Recognition 基于人脸识别的自适应高度桌椅系统

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2020-03-19 DOI: 10.1145/3388176.3388214

Zhifeng He, Xinran Shao, Yuanyuan Xiao

引用次数: 0

Genetic Ant Colony Algorithm Improves Resource Scheduling in Cloud Computing 遗传蚁群算法改进云计算资源调度

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2020-03-19 DOI: 10.1145/3388176.3388213

AoFeng Zhou

引用次数: 2

A Mixed-Method Approach to Understand and Improve Individual Participation Behaviour in Online Health Communities 了解和改善在线健康社区中个人参与行为的混合方法

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2020-03-19 DOI: 10.1145/3388176.3388190

Tenuche S. Bashir

{"title":"A Mixed-Method Approach to Understand and Improve Individual Participation Behaviour in Online Health Communities","authors":"Tenuche S. Bashir","doi":"10.1145/3388176.3388190","DOIUrl":"https://doi.org/10.1145/3388176.3388190","url":null,"abstract":"With the expansion of online communities, extant research in multiple disciplines have attempted to investigate its adoption and use among individuals. However, the biggest challenge encountered by managers of these communities is supplying knowledge, particularly, the willingness to share knowledge among the members. Cancers figure among the leading causes of morbidity and mortality worldwide, with approximately 14 million new cases and 8.2 million cancer related deaths up till 2012. The number of new cases is expected to rise by about 70% over the next two decades. For this reason, there is an ever-increasing need to establish communities to offer empathic support to patients. To achieve its objectives, this study mainly adopts the Social cognitive theory and two components of the social influence theory. The study aims to provide insights on how and why patients diagnosed with cancer (and their relatives) seek social support using the Internet and social media. In particular, we seek to understand the motivation for joining and participating within these groups and the values derived from the community for the users both active and non-active.","PeriodicalId":187568,"journal":{"name":"Proceedings of the 3rd International Conference on Information Science and Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133382555","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

Mapping and Generating Adaptive Ontology of Decision Experiences 决策经验自适应本体的映射与生成

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2020-03-19 DOI: 10.1145/3388176.3388200

Yuan Zhou, S. Khatibi

{"title":"Mapping and Generating Adaptive Ontology of Decision Experiences","authors":"Yuan Zhou, S. Khatibi","doi":"10.1145/3388176.3388200","DOIUrl":"https://doi.org/10.1145/3388176.3388200","url":null,"abstract":"Decision-making is shared by many disciplines. In computer science decision-making systems aim to substitute or support people for making decisions. The systems generally need to acquire as many as possible data to provide possible options for any decision-making. The possible options are usually obtained by modeling situations data. However, situation data is becoming tremendous along with daily life changes and it is becoming more and more difficult to model and restore those situation data. However as human, when the situation data is lacking, we still can make appropriate decisions based on our \"decision experiences\". To learn how decisions are made adaptively by humans, this paper propose a method to characterize a decision-making process for a finite number of people only based on individual's actions without modeling any situation data. Then the characterization problem is formulated as a one-dimensional decision-making process and experimented as a number guessing game. The experimental results show the feasibility of the proposed method in mapping and generation of an adaptive ontology structure of decision experiences for experimental participants.","PeriodicalId":187568,"journal":{"name":"Proceedings of the 3rd International Conference on Information Science and Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125169507","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

Plant Leaf Image Recognition using Multiple-grid Based Local Descriptor and Dimensionality Reduction Approach 基于多网格局部描述子和降维方法的植物叶片图像识别

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2020-03-19 DOI: 10.1145/3388176.3388180

Thipwimon Chompookham, Sarayut Gonwirat, Siriwiwat Lata, Sirawan Phiphiphatphaisit, Olarik Surinta

{"title":"Plant Leaf Image Recognition using Multiple-grid Based Local Descriptor and Dimensionality Reduction Approach","authors":"Thipwimon Chompookham, Sarayut Gonwirat, Siriwiwat Lata, Sirawan Phiphiphatphaisit, Olarik Surinta","doi":"10.1145/3388176.3388180","DOIUrl":"https://doi.org/10.1145/3388176.3388180","url":null,"abstract":"The identification process of plant species is one of the significant and challenging problems. In this research area, many researchers have focused on identifying the plant leaf images because the leaves of a plant are found almost all year round. The achieve method of the plant leaf image recognition is based on unique extraction features from the plant leaf and using the well-known machine learnings as a classification method. As a result, recognition accuracy was often not very high. In order to improve recognition accuracy, we proposed a multiple grids technique based on the local descriptors and dimensionality reduction. Firstly, we divided the plant leaf image according to grid size and calculated the local descriptors from each grid. Secondly, the dimensionality reduction is proposed to transform and decrease the correlated variables of the feature vector. Finally, the feature vector with a relatively low-dimensional is transferred to the machine learning techniques, which are the support vector machine and multi-layer perceptron algorithms. We have evaluated and compared the proposed algorithm with the bag of visual words method and the deep convolutional neural network (including AlexNet and GoogLeNet architectures) on the Folio leaf image dataset. The experiments show that the proposed algorithm has improved and obtained very high accuracy on plant leaf image recognition.","PeriodicalId":187568,"journal":{"name":"Proceedings of the 3rd International Conference on Information Science and Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124943578","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: 2

A Novel Optimized Design of Energy Efficient Lights for Producing Uniform Illumination by Harnessing Photoluminescent Properties of 'Strontium Aluminate' 利用“铝酸锶”的光致发光特性实现均匀照明的新型节能灯优化设计

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2020-03-19 DOI: 10.1145/3388176.3388198

Vijay A. Kanade

引用次数: 0

An Educational Smart Desk Control System for the Whole Family 一种适合家庭使用的教育智能桌控系统

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2020-03-19 DOI: 10.1145/3388176.3388215

Xinran Shao, Zhifeng He, Yutong Kang

引用次数: 0

A Pedestrian Path-planning Model in Accordance with Obstacle's Danger with Reinforcement Learning 基于强化学习的障碍物危险性行人路径规划模型

Proceedings of the 3rd International Conference on Information Science and Systems Pub Date : 2019-12-06 DOI: 10.1145/3388176.3388187

Thanh-Trung Trinh, Dinh-Minh Vu, M. Kimura

引用次数: 2