2019 4th International Conference on Information Systems Engineering (ICISE)最新文献

ICISE 2019 Conference Committee ICISE 2019会议委员会

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/icise.2019.00006

Ying Tan, Chen-Huei Chou, Sumit Kushwaha

{"title":"ICISE 2019 Conference Committee","authors":"Ying Tan, Chen-Huei Chou, Sumit Kushwaha","doi":"10.1109/icise.2019.00006","DOIUrl":"https://doi.org/10.1109/icise.2019.00006","url":null,"abstract":"Technical Committee Chairs Prof. David Billard, University of Applied Sciences, Switzerland Dr. Imran Ghani, Indiana University of Pennsylvania, USA Asst. Prof. Amr Mahmoud Tolba Gafar, King Saud University, Saudi Arabia Prof. Era Johri, KJ Somaiya College of Engineering, India Prof. Ping Lou, Wuhan University of Technology, China Dr. Prantosh Kumar Paul, Raiganj University, India Dr. Le Nguyen Quoc Khanh, Nanyang Technological University, Singapore Prof. Tyng-Yeu Liang, National Kaohsiung University of Science and Technology, Taiwan Asst. Prof. Maqsood Mahmud, Imam Abdulrahman Al Faisal University, Saudi Arabia Prof. Yongjuan Zhang, Chinese Academy of Sciences, China Prof. Carlos Raymundo, Universidad Peruana de Ciencias Aplicadas, Peru Prof. Kuldeep Kumar, Bond University, Australia Assoc. Prof. Jiongyao Ye, East China University of Science and Technology, China Dr. Durgesh Samadhiya, National Chiao Tao University, Taiwan Dr. Aashish A. Bardekar, Sipna College of Engineering & Technology, India Prof. Wen-Hsiung Wu, Kaohsiung Medical University, Taiwan Dr. K. Martin Sagayam, Karunya Institute of Technology and Sciences, India Assoc. Prof. Sui Jie, University of Chinese Academy of Sciences, China Dr. Sumit Kushwaha, Kamla Nehru Institute of Technology, India Dr. Bambang Leo Handoko, Bina Nusantara University, Indonesia Dr. Chiunhsiun Lin, National Taipei University, Taiwan Dr. S. Balamurugan, Quants IS & CS, India Asst. Prof. Vivek Shandilya, Jacksonville University, USA Dr. Zhao Yi, Chang’an University, China","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121829967","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 on Multi-Layer Propagation for Detecting Key Nodes of Positive Effects in Social Networks 基于多层传播的社交网络积极影响关键节点检测方法研究

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00019

Shichen Liu, Cheng Jiang, Hua Yu, Jie Sui

引用次数: 0

UniSim: An Autonomous Multi-Agent Simulation Method with Intelligent Perception UniSim:一种具有智能感知的自主多主体仿真方法

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00017

Linyuan Chen, Huimin Ma, Jinghuan Wen

{"title":"UniSim: An Autonomous Multi-Agent Simulation Method with Intelligent Perception","authors":"Linyuan Chen, Huimin Ma, Jinghuan Wen","doi":"10.1109/ICISE.2019.00017","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00017","url":null,"abstract":"Multi-agent simulation has become a significant method to assist studies on multi-agent problems. While many multi-agent simulation platforms or toolkits have been extensively adopted in researches, they still lack high-level autonomy and high-dimensional observations for agent-based models, which limit their scalability and practicability. In this paper, we propose UniSim, a novel autonomous multi-agent simulation method with intelligent perception to solve the key problems in multi-agent simulation. UniSim consists of three parts: Unified Environment Modeling, Autonomous Perception, and Joint United Simulation. The Unified Environment Modeling builds a dynamic sea and sky environment in real time that unifies various agents into one space domain. The Autonomous Perception provides agents with visual perception and builds an adaptive and flexible architecture to achieve autonomous information sharing. And the Joint United Simulation unifies algorithms from different time domains and extends overall capability in complicated tasks or situations. Compared with other multi-agent simulation systems, UniSim achieves comprehensive simulation for various multiagent problems and establishes a novel and universal paradigm for researches on multi-agent gaming problems which combine visual information in decision-making.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"323 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124294864","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

Performance Comparison of Different Classification Algorithms for Household Poverty Classification 不同分类算法在家庭贫困分类中的性能比较

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00010

J. A. Talingdan

{"title":"Performance Comparison of Different Classification Algorithms for Household Poverty Classification","authors":"J. A. Talingdan","doi":"10.1109/ICISE.2019.00010","DOIUrl":"https://doi.org/10.1109/ICISE.2019.00010","url":null,"abstract":"There should be a way to identify poor households as the potential receiver of poverty alleviation programs if the aim of an organization is to serve the deprive one. This problem is addressed by using machine learning algorithms particularly the classification algorithms. In this study, data mining was used to analyze the poverty data that was extracted from the Community Based Monitoring System (CBMS) Database of Lagangilang, Abra, Philippines. Different methods of data mining classification were evaluated and compared like Naïve Bayes, ID3, Decision Tree, Logistic Regression and KNearest Neighbor (KNN). In order to get the best predictive model, the different classification algorithms were evaluated based on the performance metrics; accuracy, precision, recall, F1 score and AUC. The rapid miner was the datamining tool used to process the different classification algorithms and to analyze the dataset. The study showed that Naïve Bayes classifier is an efficient algorithm for predicting households that are poor and non-poor because it outperformed all the four algorithms in all the performance metrics used in the study. Furthermore, the error rate of the said algorithm is significant because it is 0.0014 only. Therefore, choosing the best classification algorithm for data mining task will give a better result.","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114400673","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: 8

Deterministic Broadcast-Based Controlled Remote State Preparation Scheme for Single-Qubit Real-Parameter State 基于确定性广播的单量子位实参数状态受控远程状态准备方案

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00028

Ma Zhiqiang, Lu Bingbing, Wei Jiahua, Zhou Kaihang, Yu Longqiang, Lu Wei

引用次数: 0

Title Page i 第1页

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/icise.2019.00001

引用次数: 0

Application of User Experience Interaction Design Method in R&D Design of Cultural and Creative Products 用户体验交互设计方法在文创产品研发设计中的应用

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00016

Yi Li

引用次数: 1

A Comparison of Detection Techniques for Attacks on MANETs 针对机动网络攻击的检测技术比较

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00023

Husna Gul, Maaz Bin Ahmad, Muhammad Asif

引用次数: 1

ICISE 2019 Reviewers ICISE 2019审稿人

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/icise.2019.00007

D. Billard, Imran Ghani, Amr Gafar, Ping Lou, Nguyễn Quốc Khánh, Tyng-Yeu Liang, Sumit Kushwaha, B. Handoko

{"title":"ICISE 2019 Reviewers","authors":"D. Billard, Imran Ghani, Amr Gafar, Ping Lou, Nguyễn Quốc Khánh, Tyng-Yeu Liang, Sumit Kushwaha, B. Handoko","doi":"10.1109/icise.2019.00007","DOIUrl":"https://doi.org/10.1109/icise.2019.00007","url":null,"abstract":"David Billard, University of Applied Sciences in Geneva, Switzerland Imran Ghani, Indiana University of Pennsylvania, USA Amr Mahmoud Tolba Gafar, King Saud University, Saudi Arabia Era Johri, KJ Somaiya College of Engineering, India Ping Lou, Wuhan University of Technology, China Prantosh Kumar Paul, Raiganj University, India Le Nguyen Quoc Khanh, Nanyang Technological University, Singapore Tyng-Yeu Liang, National Kaohsiung University of Science and Technology, Taiwan Maqsood Mahmud, Imam Abdulrahman Al Faisal University, Saudi Arabia Yongjuan Zhang, Chinese Academy of Sciences, China Carlos Raymundo, Universidad Peruana de Ciencias Aplicadas, Peru Kuldeep Kumar, Bond University, Australia Jiongyao Ye, East China University of Science and Technology, China Durgesh Samadhiya, National Chiao Tao University, Taiwan Aashish A. Bardekar, Sipna College of Engineering & Technology, India Wen-Hsiung Wu, Kaohsiung Medical University, Taiwan K. Martin Sagayam, Karunya Institute of Technology and Sciences, India Sui Jie, University of Chinese Academy of Sciences, China Sumit Kushwaha, Kamla Nehru Institute of Technology, Bambang Leo Handoko, Bina Nusantara University, Indonesia Chiunhsiun Lin, National Taipei University, Taiwan S. Balamurugan, Quants IS & CS, India Vivek Shandilya, Jacksonville University, USA Zhao Yi, Chang’an University, China","PeriodicalId":110712,"journal":{"name":"2019 4th International Conference on Information Systems Engineering (ICISE)","volume":"17 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132287117","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

Application of Internet + Big Data and Artificial Intelligence in Vocational Education 互联网+大数据与人工智能在职业教育中的应用

2019 4th International Conference on Information Systems Engineering (ICISE) Pub Date : 2019-05-01 DOI: 10.1109/ICISE.2019.00012

Wenying Zeng, Siqi Kang, Binning Li

引用次数: 1