2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)最新文献

A Mobile Fuzzy Sink Scheme for Wireless Sensor Network Period Improvement 一种用于无线传感器网络周期改进的移动模糊Sink方案

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238684

Wasswa Shafik, S. Matinkhah, M. Ghasemzadeh

{"title":"A Mobile Fuzzy Sink Scheme for Wireless Sensor Network Period Improvement","authors":"Wasswa Shafik, S. Matinkhah, M. Ghasemzadeh","doi":"10.1109/CFIS49607.2020.9238684","DOIUrl":"https://doi.org/10.1109/CFIS49607.2020.9238684","url":null,"abstract":"Wireless Sensor Networks (WSN s) is considered to be a promising research area since it entails sensing capabilities. WSN s are confronted by fabricated explosion injection attacks and in return results into draining of vitality on sensor nodes routing mainly because of increased capabilities in a broad range of applications where sensor nodes use a battery as the power source. In this paper, we reveal and claim a state-of-the-art model to minimize vitality depletion of nodes within the network in return increases network period to more realistic stretch. It is revealed that the main cause is vitality consumption unbalances in different parts of the network direct resulting from having a static sink. More still, the network nodes neighboring the sink insistently partake in progressing data of other nodes to the sink. Consequently, the network nodes are supplementarily subjected to untimely vitality exhaustion. This paper mainly provides a novel movable (mobile) fuzzy logic sink approach and an intelligent system like expect systems that be able to scrutinize network situation, and make the superlative choice for spreading the network period robotically.","PeriodicalId":128323,"journal":{"name":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","volume":"138 51","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120818961","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: 4

SIG-CLA: A Significant Community Detection based on Cellular Learning Automata SIG-CLA:基于元胞学习自动机的显著社区检测

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238676

M. D. Khomami, Alireza Rezvanian, A. Saghiri, M. Meybodi

引用次数: 4

[Copyright notice] (版权)

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/cfis49607.2020.9238746

引用次数: 0

Soft Vectors in Soft Hypervector Spaces 软超向量空间中的软向量

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238694

O. Dehghan, M. Norouzi

引用次数: 0

A Distributed Blockchain-based Video Sharing System with Copyright, Integrity, and Immutability 基于区块链的分布式视频共享系统，具有版权、完整性和不变性

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238685

Molud Esmaili, R. Javidan

{"title":"A Distributed Blockchain-based Video Sharing System with Copyright, Integrity, and Immutability","authors":"Molud Esmaili, R. Javidan","doi":"10.1109/CFIS49607.2020.9238685","DOIUrl":"https://doi.org/10.1109/CFIS49607.2020.9238685","url":null,"abstract":"Today's video-sharing systems are platforms that have been developed to be a hub for the introduction and sharing of videos created by video creators from all over the world. These systems generate significant revenue through advertising or copyright transferring they receive from video viewers, which share only certain percentage with video creators. However, To make more profit for video creators, in this paper we proposed a distributed video sharing architecture with the possibility of performing financial transactions that works on the Ethereum. In this new architecture, the Blockchain network separated from storage; because video storage in Blockchain results to be costly for mining in the nodes in the network. Ethereum's smart contract is responsible for monitoring the validity, transparency, immutability, integrity, and security of transactions as well as controlling video access. On the other side of the architecture, there is an Ethereum-compatible distributed file storage called Swarm for video storage. Due to the lack of video storage in the Blockchain network, the integrity of the videos is questionable. To solve this problem in the proposed scheme, a Merkel tree of video hashes in the swarm is created and stored in the Blockchain to ensure the immutability and integrity of the videos and, to be transparent and valid to everyone. Finally, the performance of the proposed architecture in terms of security, structure distribution, downtime probability, fault tolerance, transparency, content integrity, immutability, and sustainability has been compared with similar systems and its performance has been proven.","PeriodicalId":128323,"journal":{"name":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124447188","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

Solving Multi-objective Multi-choice Stochastic Transportation Problem with Fuzzy Programming Approach 用模糊规划方法求解多目标多选择随机运输问题

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238695

S. H. Nasseri, S. Bavandi

引用次数: 6

Resource Allocation in OMA-NOMA based Two-Tier Heterogeneous Networks 基于OMA-NOMA的两层异构网络资源分配

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238736

M. Hadi, R. Ghazizadeh

引用次数: 0

A PSO-MLPANN Hybrid Approach for Estimation of Human Joint Torques from sEMG Signals 基于PSO-MLPANN混合方法的表面肌电信号关节力矩估计

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238724

S. M. Tahamipour-Z., I. Kardan, Hadi Kalani, A. Akbarzadeh

{"title":"A PSO-MLPANN Hybrid Approach for Estimation of Human Joint Torques from sEMG Signals","authors":"S. M. Tahamipour-Z., I. Kardan, Hadi Kalani, A. Akbarzadeh","doi":"10.1109/CFIS49607.2020.9238724","DOIUrl":"https://doi.org/10.1109/CFIS49607.2020.9238724","url":null,"abstract":"Mapping from the electrical activity of muscles to the joint torques is required in many applications like gait analysis, exoskeleton robots, automated rehabilitations and human-machine interactions. This paper investigates the application of a multilayer perceptron artificial neural network (MLPANN) for the estimation of the human knee torques from the surface electromyography (sEMG) signals of the corresponding muscles. Some experiments are performed on a human subject wearing an exoskeleton robot and repeating a special1-DOF motion called vertical sit-to-stand (VSTS) motion. The human knee angle is recorded from the knee encoder of the exoskeleton robot. The sEMG signals of four related lower limb muscles are also recorded at the same time. Then, the inverse dynamic model of the human in VSTS motion is used to compute the corresponding knee torque of the human. The recorded sEMG signals and the calculated torques are then used to form the input-output training set for the MLPANN. To find the best neuron weights for the MLP ANN, particle swarm optimization (PSO) is utilized. Results show that the EMG signals from lower limb muscles contain important information about the knee torques in a VSTS motion. Comparing the performance of the optimized MLP ANN with conventional MLP ANN and radial basis function artificial neural network (RBF ANN) indicates that the proposed method is more efficient in the estimation of joint torques.","PeriodicalId":128323,"journal":{"name":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130150143","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

ILS-based Reservoir Computing for Handwritten Digits Recognition 基于il的手写数字识别库计算

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/CFIS49607.2020.9238722

Ensieh Iranmehr, Saeed Baghri Shouraki, M. Faraji

引用次数: 4

8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) 第八届伊朗模糊与智能系统联合大会(CFIS)

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) Pub Date : 2020-09-01 DOI: 10.1109/cfis49607.2020.9238744

引用次数: 2