Multiagent and Grid Systems最新文献_第8页

HA-UVC: Hybrid approach for unmanned vehicles cooperation HA-UVC:无人车合作的混合方法

IF 0.7

Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/MGS-200319

Bella Salima, Belbachir Assia, Belalem Ghalem

引用次数: 0

Intelligent recognition of semantic relationships based on antonymy 基于反义词的语义关系智能识别

IF 0.7

Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/mgs-200332

Hui Guan, Chengzhen Jia, Hongji Yang

引用次数: 1

A brief review and challenges of object detection in optical remote sensing imagery 光学遥感图像中目标检测的综述与挑战

IF 0.7

Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/mgs-200330

Shahid Karim, Ye Zhang, Shoulin Yin, Irfana Bibi, Ali Anwar Brohi

{"title":"A brief review and challenges of object detection in optical remote sensing imagery","authors":"Shahid Karim, Ye Zhang, Shoulin Yin, Irfana Bibi, Ali Anwar Brohi","doi":"10.3233/mgs-200330","DOIUrl":"https://doi.org/10.3233/mgs-200330","url":null,"abstract":"Traditional object detection algorithms and strategies are difficult to meet the requirements of data processing efficiency, performance, speed and intelligence in object detection. Through the study and imitation of the cognitive ability of the brain, deep learning can analyze and process the data features. It has a strong ability of visualization and becomes the mainstream algorithm of current object detection applications. Firstly, we have discussed the developments of traditional object detection methods. Secondly, the frameworks of object detection (e.g. Region-based CNN (R-CNN), Spatial Pyramid Pooling Network (SPP-NET), Fast-RCNN and Faster-RCNN) which combine region proposals and convolutional neural networks (CNNs) are briefly characterized for optical remote sensing applications. You only look once (YOLO) algorithm is the representative of the object detection frameworks (e.g. YOLO and Single Shot MultiBox Detector (SSD)) which transforms the object detection into a regression problem. The limitations of remote sensing images and object detectors have been highlighted and discussed. The feasibility and limitations of these approaches will lead researchers to prudently select appropriate image enhancements. Finally, the problems of object detection algorithms in deep learning are summarized and the future recommendations are also conferred.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91315295","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: 16

A replication and migration strategy on the hierarchical architecture in the fog computing environment 雾计算环境中基于分层体系结构的复制和迁移策略

IF 0.7

Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/mgs-200333

Ahmed Berkennou, Ghalem Belalem, Said Limam

{"title":"A replication and migration strategy on the hierarchical architecture in the fog computing environment","authors":"Ahmed Berkennou, Ghalem Belalem, Said Limam","doi":"10.3233/mgs-200333","DOIUrl":"https://doi.org/10.3233/mgs-200333","url":null,"abstract":"Connecting objects have increasingly become popular in recent years, leading to the connection of more than 50 billion objects by the end of 2020. This large number of objects will generate a huge amount of data that is currently being processed and stored in the cloud. Fog Computing presents a promising solution to the problems of high latency and huge network traffic encountered in the cloud. As Fog’s infrastructures are dense, heterogeneous and geo-distributed, managing the data in order to satisfy users demand in such context is very complicated. In this work, we propose a data management strategy called ‘RMS-HaFC’ in which we consider the characteristics of Fog Computing environment. To do so, we proposed a hierarchical multi-layer model, on which we designed a migration and replication strategy based on data popularity. These strategies duplicate files dynamically and store them in different locations to improve the response time of users requests and minimize the system energy consumption without loading network usage. The strategy was evaluated using the iFogSim simulator and the experimental results obtained are very promising.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81397973","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

A pattern-growth approach for mining trajectories 采矿轨迹的模式增长方法

IF 0.7

Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/MGS-200324

Mohammed Rachid Khatir, Yahia Lebbah, R. Nourine

引用次数: 0

A new agent based load balancing model for improving the grid performance 一种新的基于agent的网格负载平衡模型

IF 0.7

Multiagent and Grid Systems Pub Date : 2020-01-01 DOI: 10.3233/MGS-200326

Ali Wided, O. Kazar

引用次数: 2

Towards a preventive maintenance approach for multi-agent applications 面向多代理应用程序的预防性维护方法