2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)最新文献_第10页

Learning statistics from raw text documents 从原始文本文档中学习统计数据

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394841

Nour El Houda Ben Chaabene, Maha Mallek

引用次数: 0

Modeling of Decline Dynamics of Knowledge Sharing Networks (KSNets) - A Wikipedia Case 知识共享网络(KSNets)衰落动态建模-维基百科案例

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CODIT.2018.8394797

Rong-Huei Chen, Shi-Chung Chang, P. Luh

{"title":"Modeling of Decline Dynamics of Knowledge Sharing Networks (KSNets) - A Wikipedia Case","authors":"Rong-Huei Chen, Shi-Chung Chang, P. Luh","doi":"10.1109/CODIT.2018.8394797","DOIUrl":"https://doi.org/10.1109/CODIT.2018.8394797","url":null,"abstract":"Online knowledge sharing networks (KSNets) have made significant impacts on the economy as well as wellbeing of societies through sharing. One of the most successful KSNets is Wikipedia that allows users to create contents in a collaborative manner and to provide fast and easy access at no cost to users. Recent research, however, has shown that the numbers of “Wikipedians” and new page creations have been declining, reflecting decrease in user contributions and in new contents. To facilitate management for sustainability, this paper aims at quantitatively modeling how the decline in new contents affects the number of Wikipedians and in turn content creations, and predicting decline start time and speed based on available Wikipedia data. The novel modeling approach adopts auto-regression with an extended Bass Diffusion model (AREBDM) embedded to describe the Wikipedia-wide evolutions of the number of Wikipedians and content developments. Model parameters are then extracted by a nonlinear least square method from early Wikipedia data. Simulation predictions match well with actual Wikipedia decline trajectories of later stages. Our analysis shows that the decline of new page creation leads in time the decline of the number of new Wikipedians, and the decline speed increases with the decrease of new contents. Our approach therefore has the potential to predict decline time and speed so that proactive actions can be taken as early as possible.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126355359","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

Adaptive Dynamic Programming Based Motion Control of Autonomous Underwater Vehicles 基于自适应动态规划的自主水下航行器运动控制

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394934

Siddhant Vibhute

{"title":"Adaptive Dynamic Programming Based Motion Control of Autonomous Underwater Vehicles","authors":"Siddhant Vibhute","doi":"10.1109/CoDIT.2018.8394934","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394934","url":null,"abstract":"In this paper, Adaptive Dynamic Programming (ADP) technique is utilized to achieve optimal motion control of Autonomous Underwater Vehicle (AUV) System. The paper proposes a model-free based method that takes into consideration the actuator input and obstacle position while tracing an optimal path. The concept of machine learning enables to develop a path-planner which aims to avoid collisions with static obstacles. The ADP approach is realized to approximate the solution of the cost functional for optimization purpose by which the positions of the locally situated obstacles need not be priori-known until they are within a designed approximation safety envelope. The methodology is implemented to achieve the path-planning objective using dynamic programming technique. The Least-squares policy method serves as a recursive algorithm to approximate the value function for the domain, providing an approach for the finite space discrete control system. The concept behind the design of an obstacle-free path finder is to generate an optimal action that minimizes the local cost, defined by a functional, under constrained optimization. The most advantageous value function is described by the Hamilton Jacobi Bellman (HJB) equation, that is impractical to solve using analytical methods. To overcome the complex calculations subject to HJB, a method based on Reinforcement Learning (RL), called ADP is implemented. This paper outlines the concept of machine learning to realize a real time obstacle avoidance system.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126517741","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

Enhanced Conditions in Design of Linear Discrete-time Positive System Control 线性离散正系统控制设计中的增强条件

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394786

D. Krokavec, A. Filasová

引用次数: 1

A Cooperative Control Model Foroperating Theaterscheduling 手术室调度的协同控制模型

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394888

Bilal Bou Saleh, A. E. Moudni, M. Hajjar, O. Barakat

{"title":"A Cooperative Control Model Foroperating Theaterscheduling","authors":"Bilal Bou Saleh, A. E. Moudni, M. Hajjar, O. Barakat","doi":"10.1109/CoDIT.2018.8394888","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394888","url":null,"abstract":"The efficient management of a surgical block must allow to the realization of pre-planned surgical procedures but also to cope with all the aleas and disturbances as emergencies or late cancellations and this by adapting dynamically the schedule already in progress. This study focuses on the local cooperative control model to manage the surgical operating room process in the completion phase. More precisely: An application of the Contract Net Protocol (CNP) for task decomposition and task assignment in multi-agent systems is presented; we show that it can be used to get the best real-time solution in terms of cost for the assignment of emergency surgery that can happen at any time of the day. By the use at any time of the auction protocols algorithm called “simulated trading” (ST), the schedule for remaining time can be improved significantly. The solution of the rescheduling problem emerges from local decision-making and problem-solving rules. Since the local cooperative control system will include policies that optimize local performance and responsiveness. MAS solve the problem of dynamic planning by controlling the progress of the process during the day. Thus, it is designed as an online system with anytime algorithms. The proposed control model, which is still lacking today, is required to address uncertainties inherent in the surgical block process. Research focus: distributed task allocation with multi-agent systems","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126052067","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

Switching PI speed control of a nonlinear laboratory dc micro-motor using low-cost embedded control hardware and software 采用低成本嵌入式控制硬件和软件的非线性实验室直流微电机的开关PI速度控制

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-01 DOI: 10.1109/CoDIT.2018.8394944

C. Yfoulis, S. Papadopoulou, Dimitris Trigkas, S. Voutetakis

引用次数: 1

A location-routing problem within blood sample collection chains 血样采集链中的位置路由问题

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-01 DOI: 10.1109/CoDIT.2018.8394826

A. Elalouf, Dmitry Tsadikovich, E. Levner

引用次数: 2

Optimization of Electricity Consumption in a building 建筑用电优化

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-01 DOI: 10.1109/CoDIT.2018.8394953

Kahina Louadj, Fethi Demim, A. Nemra, M. Aidène, P. Marthon, Hocine Iddir

引用次数: 2

Adaptive Lag-Bipartite Consensus of Linear Multiagent Systems with a Non-autonomous Leader over Signed Graph 带非自治Leader的线性多智能体系统的自适应lagi - bipartite一致性

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-01 DOI: 10.1109/CoDIT.2018.8394967

Sourav K. Bhowmick, S. Panja

引用次数: 2

An Iterated Local Search ILS-CHC for the Maximum Vertex-Weighted Clique Problem 最大顶点加权团问题的迭代局部搜索ILS-CHC

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-01 DOI: 10.1109/CoDIT.2018.8394892

D. Tayachi, N. Zaddem

引用次数: 2