Journal of Ambient Intelligence and Smart Environments最新文献_第10页

Accuracy analysis of BLE beacon-based localization in smart buildings 智能建筑中基于BLE信标的定位精度分析

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/AIS-210607

R. Ivanov

引用次数: 1

Towards trustworthy Cyber-physical Production Systems: A dynamic agent accountability approach 迈向可信赖的网络物理生产系统:动态代理问责方法

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/AIS-210593

Richárd Beregi, G. Pedone, D. Preuveneers

{"title":"Towards trustworthy Cyber-physical Production Systems: A dynamic agent accountability approach","authors":"Richárd Beregi, G. Pedone, D. Preuveneers","doi":"10.3233/AIS-210593","DOIUrl":"https://doi.org/10.3233/AIS-210593","url":null,"abstract":"Smart manufacturing is a challenging trend being fostered by the Industry 4.0 paradigm. In this scenario Multi-Agent Systems (MAS) are particularly elected for modeling such types of intelligent, decentralised processes, thanks to their autonomy in pursuing collective and cooperative goals. From a human perspective, however, increasing the confidence in trustworthiness of MAS based Cyber-physical Production Systems (CPPS) remains a significant challenge. Manufacturing services must comply with strong requirements in terms of reliability, robustness and latency, and solution providers are expected to ensure that agents will operate within certain boundaries of the production, and mitigate unattended behaviours during the execution of manufacturing activities. To address this concern, a Manufacturing Agent Accountability Framework is proposed, a dynamic authorization framework that defines and enforces boundaries in which agents are freely permitted to exploit their intelligence to reach individual and collective objectives. The expected behaviour of agents is to adhere to CPPS workflows which implicitly define acceptable regions of behaviours and production feasibility. Core contributions of the proposed framework are: a manufacturing accountability model, the representation of the Leaf Diagrams for the governance of agent behavioural autonomy, and an ontology of declarative policies for the identification and avoidance of ill-intentioned behaviours in the execution of CPPS services. We outline the application of this enhanced trustworthiness framework to an agent-based manufacturing use-case for the production of a variety of hand tools.","PeriodicalId":49316,"journal":{"name":"Journal of Ambient Intelligence and Smart Environments","volume":"1 1","pages":"157-180"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79767973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Forest path condition monitoring based on crowd-based trajectory data analysis 基于人群轨迹数据分析的森林路径状态监测

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/ais-200586

Francisco Arcas-Túnez, Fernando Terroso-Sáenz

引用次数: 2

Multicriteria decision making based optimum virtual machine selection technique for smart cloud environment 基于多准则决策的智能云环境下虚拟机优化选择技术

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/AIS-210599

Raman Singh, M. Singh, Sheetal Garg, I. Perl, Olga Kalyonova, A. Penskoi

{"title":"Multicriteria decision making based optimum virtual machine selection technique for smart cloud environment","authors":"Raman Singh, M. Singh, Sheetal Garg, I. Perl, Olga Kalyonova, A. Penskoi","doi":"10.3233/AIS-210599","DOIUrl":"https://doi.org/10.3233/AIS-210599","url":null,"abstract":"In the popular field of cloud computing, millions of job requests arrive at the data centre for execution. The job of the data centre is to optimally allocate virtual machines (VMs) to these job requests in order to use resources efficiently. In the future smart cities, huge amount of job requests and data will be generated by the Internet of Things (IoT) devices which will influence the designing of optimum resource management of smart cloud environments. The present paper analyses the performance efficiency of the data centre with and without job request consolidation. First, the work load performance of the data centre was analysed without job request consolidation, exhibiting that the job requests to VM assignment was highly imbalanced, and only 5% of VMs were running with a load factor of more than 70%. Then, the technique for order of preference by similarity to ideal solution-based VM selection algorithm was applied, which was able to select the best VM using parameters such as the provisioned or available central processing unit capacity, provisioned or available memory capacity, and state of machine (running, hibernated, or available). The Bitbrains dataset consisting of 1750 VMs was used to analyse the performance of the proposed methodology. The analysis concluded that the proposed methodology was capable of serving all job requests using less than 24% VMs with improved load efficiency. The fewer number of VMs with an improved load factor guarantees energy saving and an increase in the overall running efficiency of the smart data centre environment.","PeriodicalId":49316,"journal":{"name":"Journal of Ambient Intelligence and Smart Environments","volume":"1 1","pages":"185-199"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83507592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Urban management image classification approach based on deep learning 基于深度学习的城市管理图像分类方法

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/AIS-210609

Qinqing Kang, Xiong Ding

引用次数: 2

Preface to JAISE 13(1) 《JAISE 13(1)》序言

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/AIS-200589

V. W. L. Tam, H. Aghajan, J. Augusto

引用次数: 0

Multi-criteria tensor model consolidating spatial and temporal information for tourism recommendation 面向旅游推荐的时空信息整合多准则张量模型

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/ais-200584

Minsung Hong, Jason J. Jung

{"title":"Multi-criteria tensor model consolidating spatial and temporal information for tourism recommendation","authors":"Minsung Hong, Jason J. Jung","doi":"10.3233/ais-200584","DOIUrl":"https://doi.org/10.3233/ais-200584","url":null,"abstract":"Although spatial and temporal information has often been considered to improve recommendation performances, existing multi-criteria recommender systems often neglect to leverage spatial and temporal information. Also, it is a non-trivial task to simultaneously apply such information to recommendation services since the factors have interrelations to each other. In this paper, we propose a multi-criteria tensor model combining spatial and temporal information. The auxiliary information is categorized by several features and applied into the model. In particular, the spatial information of users’ countries is grouped into seven continents to reduce response times for learning the model. The single model enables to us keep the inherent structure of and the interrelations between multi-criteria and spatial/temporal information. To predict user preferences, tensor factorization based on Higher Order Singular Value Decomposition is exploited. Experimental results with a TripAdvisor dataset show that the proposed method outperforms other baseline methods based on a 2-dimensional rating matrix, tensor model, and other multi-criteria recommendation, in terms of RMSE and MAE. Furthermore, several experiments reveal the influences of the individual factors (i.e., multi-criteria, spatial and temporal information) and their consolidations, on restaurant recommendation. A comparative analysis of the multi-criteria elements shows that their influences relate to their correlations.","PeriodicalId":49316,"journal":{"name":"Journal of Ambient Intelligence and Smart Environments","volume":"5 1","pages":"5-19"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82125389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Trustworthy computing for secure smart cities 为安全的智慧城市提供可靠的计算

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/AIS-210597

W. Mansoor, V. Vijayakumar

{"title":"Trustworthy computing for secure smart cities","authors":"W. Mansoor, V. Vijayakumar","doi":"10.3233/AIS-210597","DOIUrl":"https://doi.org/10.3233/AIS-210597","url":null,"abstract":"Supporting smart services are expected to become the characteristic of all cities in the world. This brings with it a number of security challenges as breaching security might have a devastating impact on citizen and city infras-tructure. This thematic issue on trustworthy computing for secure smart cities attempts to shed light on the latest research trends on the improvement of smart city security using trustworthy computing methods and techniques. We hope that researchers will beneﬁt from the papers in this issue and ﬁnd more motivation to pay attention to this important need. The paper “ Multi-criteria decision making-based optimum virtual machine selection technique for smart cloud environment ” by Singh et al. analyses the performance efﬁciency of the data centre with and without job request consolidation. A technique for determining the order of preferences was proposed using similarity to the ideal solution-based virtual machine selection algorithm, which was able to select the best VM using parameters such as the provisioned or available capacity, and memory, as well as the state of the machine. In the paper entitled “ DDoS prevention architecture using anomaly detection in Fog-empowered networks ” by Sharma et al., the authors propose a lightweight and robust framework for DDoS attack detection and prevention using mathematical models for detecting anomalies in the behaviour of Fog devices connected to the Fog node. The proposed approach is an efﬁcient algorithm to identify and handle DDoS causing devices on a network by identifying the rogue node. A mist-assisted Fog computing-based load balancing strategy for smart cities resource allocation on a and reinforcement learning in combination a load balancing procedure. proposed model","PeriodicalId":49316,"journal":{"name":"Journal of Ambient Intelligence and Smart Environments","volume":"43 1","pages":"183-184"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84005039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel computer vision-based data driven modelling approach for person specific fall detection 一种新的基于计算机视觉的数据驱动建模方法，用于人体特定的跌倒检测

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/AIS-210611

Liyun Gong, Lu Zhang, Ming Zhu, Miao Yu, Ross Clifford, Carol Duff, Xujiong Ye, S. Kollias

{"title":"A novel computer vision-based data driven modelling approach for person specific fall detection","authors":"Liyun Gong, Lu Zhang, Ming Zhu, Miao Yu, Ross Clifford, Carol Duff, Xujiong Ye, S. Kollias","doi":"10.3233/AIS-210611","DOIUrl":"https://doi.org/10.3233/AIS-210611","url":null,"abstract":"In this paper, we propose a novel person specific fall detection system based on a monocular camera, which can be applied for assisting the independent living of an older adult living alone at home. A single camera covering the living area is used for video recordings of an elderly person’s normal daily activities. From the recorded video data, the human silhouette regions in every frame are then extracted based on the codebook background subtraction technique. Low-dimensionality representative features of extracted silhouetted are then extracted by convolutional neural network-based autoencoder (CNN-AE). Features obtained from the CNN-AE are applied to construct an one class support vector machine (OCSVM) model, which is a data driven model based on the video recordings and can be applied for fall detection. From the comprehensive experimental evaluations on different people in a real home environment, it is shown that the proposed fall detection system can successfully detect different types of falls (falls towards different orientations at different positions in a real home environment) with small false alarms.","PeriodicalId":49316,"journal":{"name":"Journal of Ambient Intelligence and Smart Environments","volume":"167 1","pages":"373-387"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80495621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An intelligent model to assist people with disabilities in smart cities 智能城市中帮助残疾人的智能模型

IF 1.7 4区计算机科学

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-01-01 DOI: 10.3233/AIS-210606

M. J. Telles, R. Santos, Juarez Machado da Silva, R. Righi, J. Barbosa

{"title":"An intelligent model to assist people with disabilities in smart cities","authors":"M. J. Telles, R. Santos, Juarez Machado da Silva, R. Righi, J. Barbosa","doi":"10.3233/AIS-210606","DOIUrl":"https://doi.org/10.3233/AIS-210606","url":null,"abstract":"Smart cities emergence has allowed a wide variety of technological services to metropolitan areas. These services can improve life quality, minimize environmental impacts, improve health service, improve security, and bear the increasing number of people in the cities. Life quality encompasses many subjects, and accessibility for People with Disabilities (PwD) is one. In this article, smart cities focused on helping PwD are called Assistive Smart Cities (ASCs). In this sense, the article proposes a Model for Assistive Smart Cities called MASC. Related works do not cover geographically broad areas, such as cities and metropolitan regions. Moreover, they are not generic in terms of disabilities and are usually intended only for one type of disability. Given this scenario, the MASC covers large regions and supports various disabilities, such as hearing, visual impairment, and limitation of lower limb movements. Unlike the related works, MASC uses the interactions of PwD to compose histories of contexts offered as services. MASC proposes an ontology-based on ubiquitous accessibility concepts. The model evaluation focused on performance, functionality, and usability. Performance and functionality evaluations were performed using data generated by a context simulator called Siafu and data from the Open Street Maps (OSM) platform. Usability was evaluated using a smart wheelchair prototype. The results of usability show 96% acceptance regarding ease of use and 98% regarding system utility. The results indicate that the model supports massive applications, managing information to generate trails. Besides, MASC provides services for different types of users, namely PwD, healthcare professionals, and public administration.","PeriodicalId":49316,"journal":{"name":"Journal of Ambient Intelligence and Smart Environments","volume":"41 1","pages":"301-324"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79371296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7