2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA)最新文献_第6页

An incremental mining algorithm for erasable itemsets 可擦项集的增量挖掘算法

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001172

T. Hong, Kun-Yi Lin, Chun-Wei Lin, Bay Vo

引用次数: 13

Social semiotic aspects of instagram social network instagram社交网络的社会符号学方面

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001204

M. Mirsarraf, H. Shairi, A. Ahmadpanah

引用次数: 6

The effects of different wavelet degrees on epileptic seizure detection from EEG signals 不同小波度对脑电信号检测癫痫发作的影响

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001178

G. Ekim, N. Ikizler, A. Atasoy

引用次数: 6

Atanassov's intuitionistic fuzzy risk estimation of the ship system failures based on the expert judgments 基于专家判断的Atanassov船舶系统故障的直觉模糊风险估计

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001153

Hoang Nguyen

{"title":"Atanassov's intuitionistic fuzzy risk estimation of the ship system failures based on the expert judgments","authors":"Hoang Nguyen","doi":"10.1109/INISTA.2017.8001153","DOIUrl":"https://doi.org/10.1109/INISTA.2017.8001153","url":null,"abstract":"In the safety engineering, risk estimation is in practice confronted with difficulties connected with shortage of data. In such cases, we have to rely on subjective estimations made by persons with practical knowledge in the field of interest, i.e. experts. However, in some realistic situations, the decision makers might be reluctant or unable to assign the crisp values to the evaluation judgments due to his/her limited knowledge. In other words, there is a certain degree of hesitancy in human cognition and his/her judgment. The probabilistic approach turns out to be insufficient in modeling the subjective uncertainty. Taking advantages of the Atanassov's intuitionistic fuzzy sets in dealing with ambiguity and uncertainty into account, they can be used to handle with the subjective evaluations of experts, who may have insufficient knowledge of the problem domain or uncertainty in assigning the evaluation values to the objects considered. This paper addresses the Atanassov's intuitionistic fuzzy methods in the risk estimation of the ship system failures based on the expert judgments.","PeriodicalId":314687,"journal":{"name":"2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121241538","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

Resolving classical concurrency problems using adaptive conflictless scheduling 使用自适应无冲突调度解决经典并发问题

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001193

M. Smolinski

{"title":"Resolving classical concurrency problems using adaptive conflictless scheduling","authors":"M. Smolinski","doi":"10.1109/INISTA.2017.8001193","DOIUrl":"https://doi.org/10.1109/INISTA.2017.8001193","url":null,"abstract":"Classical concurrency problems define environments for task processing with high contention of shared resources. The adaptive conflictless scheduling is an alternative to existing synchronization mechanisms used in known solutions of concurrency problem to provide parallel tasks processing without resource conflicts. Used in this paper scheduling concept eliminates deadlock between tasks that are caused by the wrong allocation of shared resources, regardless of the specification of task environment. The adaptive conflictless scheduling, in opposition to other solutions dedicated to specific problem, is a universal approach and can be used to solve different concurrency problems. This article presents versatility of applications of adaptive conflictless scheduling by its usage in two classical concurrency problems: readers and writers and dining philosophers. Analysis of scheduling rules, when conflictless scheduling is applied, shows lack of task starvation in both classical concurrency problems. If conflictless scheduling is used, there is no need to use any other synchronization mechanisms for control tasks access to groups of shared resources. In presented approach only the programmer has to separate tasks and for each of them has to establish and report all required shared resources. Then tasks synchronization in accessing resource groups will be performed according to the adaptive conflictless schedule, which is the sequence of conflictless schedules. The concept of conflictless scheduling bases on efficient resource conflict detection between tasks by its resource identifiers and delayed execution of conflicted tasks using many FIFO queues assigned individually to each group of shared resources. Task queues are emptied based on the conflictless schedule, which is calculated every time according to specific state of the task processing environment.","PeriodicalId":314687,"journal":{"name":"2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128940105","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: 3

Stacking and rotation-based technique for machine learning classification with data reduction 基于堆叠和旋转的数据约简机器学习分类技术

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001132

I. Czarnowski, P. Jędrzejowicz

引用次数: 4

Prediction markets as a vital part of collective intelligence 预测市场是集体智慧的重要组成部分

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001146

Rafał Palak, N. Nguyen

引用次数: 6

Interactive 7-DOF motion controller of the operator arm (ExoArm 7-DOF) 操作臂交互式7-DOF运动控制器(ExoArm 7-DOF)

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001154

H. Pawel, M. Pajor

引用次数: 8

Modeling of Unified Process Metamodel structure in Association-Oriented Database Metamodel: Flowing Resources and transformation 面向关联数据库元模型中统一过程元模型结构的建模:流动资源与转换

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001168

M. Krótkiewicz, M. Jodłowiec, W. Hunek, Krystian Wojtkiewicz

引用次数: 5

Multiobjective genetic algorithm for outliers detection 异常点检测的多目标遗传算法

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI: 10.1109/INISTA.2017.8001190

Lukasz Chomatek, A. Duraj

引用次数: 18