Int. J. Interact. Multim. Artif. Intell.最新文献_第3页

Comparison of Clustering Algorithms for Learning Analytics with Educational Datasets 学习分析与教育数据集聚类算法的比较

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2018-09-01 DOI: 10.9781/ijimai.2018.02.003

Álvaro Martínez Navarro, P. Moreno-Ger

引用次数: 32

Proposing a Machine Learning Approach to Analyze and Predict Employment and its Factors 提出一种机器学习方法来分析和预测就业及其因素

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2018-08-28 DOI: 10.9781/IJIMAI.2018.02.002

F. García-Peñalvo, Juan Cruz-Benito, Martín Martín-González, Andrea Vázquez-Ingelmo, José Carlos Sánchez Prieto, Roberto Therón

引用次数: 42

DataCare: Big Data Analytics Solution for Intelligent Healthcare Management DataCare:智能医疗管理的大数据分析解决方案

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2018-03-01 DOI: 10.9781/ijimai.2017.03.002

Alejandro Baldominos Gómez, Fernando de Rada, Y. Sáez

引用次数: 17

Influence of Lymphocyte T CD4 Levels on the Neuropsychological Performance of Population A ected by HIV and with a Previous History of Substance Use 淋巴细胞T CD4水平对HIV感染人群和既往药物使用史的神经心理表现的影响

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2017-09-01 DOI: 10.9781/ijimai.2017.4511

E. Vázquez-Justo, Amalia García-Torres, E. Vergara-Moragues

引用次数: 0

A Revision of Preventive Web-based Psychotherapies in Subjects at Risk of Mental Disorders 精神障碍风险受试者预防性网络心理治疗的修订

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2017-09-01 DOI: 10.9781/ijimai.2017.459

T. Sánchez-Gutiérrez, S. Barbeito, A. Calvo

引用次数: 3

Construction of a Benchmark for the User Experience Questionnaire (UEQ) 构建用户体验问卷(UEQ)基准

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2017-08-01 DOI: 10.9781/ijimai.2017.445

Martin Schrepp, Andreas Hinderks, Jörg Thomaschewski

引用次数: 453

Diagnosis of Malignant Melanoma of Skin Cancer Types 皮肤癌类型中恶性黑色素瘤的诊断

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2017-08-01 DOI: 10.9781/ijimai.2017.458

A. H. H. Alasadi, Baidaa M. Alsafy

引用次数: 11

A Depth Video-based Human Detection and Activity Recognition using Multi-features and Embedded Hidden Markov Models for Health Care Monitoring Systems 基于多特征和嵌入式隐马尔可夫模型的深度视频人体检测和活动识别

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2017-06-01 DOI: 10.9781/ijimai.2017.447

A. Jalal, S. Kamal, Daijin Kim

{"title":"A Depth Video-based Human Detection and Activity Recognition using Multi-features and Embedded Hidden Markov Models for Health Care Monitoring Systems","authors":"A. Jalal, S. Kamal, Daijin Kim","doi":"10.9781/ijimai.2017.447","DOIUrl":"https://doi.org/10.9781/ijimai.2017.447","url":null,"abstract":"Increase in number of elderly people who are living independently needs especial care in the form of healthcare monitoring systems. Recent advancements in depth video technologies have made human activity recognition (HAR) realizable for elderly healthcare applications. In this paper, a depth video-based novel method for HAR is presented using robust multi-features and embedded Hidden Markov Models (HMMs) to recognize daily life activities of elderly people living alone in indoor environment such as smart homes. In the proposed HAR framework, initially, depth maps are analyzed by temporal motion identification method to segment human silhouettes from noisy background and compute depth silhouette area for each activity to track human movements in a scene. Several representative features, including invariant, multi-view differentiation and spatiotemporal body joints features were fused together to explore gradient orientation change, intensity differentiation, temporal variation and local motion of specific body parts. Then, these features are processed by the dynamics of their respective class and learned, modeled, trained and recognized with specific embedded HMM having active feature values. Furthermore, we construct a new online human activity dataset by a depth sensor to evaluate the proposed features. Our experiments on three depth datasets demonstrated that the proposed multi-features are efficient and robust over the state of the art features for human action and activity recognition.","PeriodicalId":143152,"journal":{"name":"Int. J. Interact. Multim. Artif. Intell.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116855483","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: 90

Migrating C/C++ Software to Mobile Platforms in the ADM Context ADM环境下C/ c++软件向移动平台的迁移

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2017-03-01 DOI: 10.9781/ijimai.2017.436

L. Martinez, C. Pereira, L. Favre

{"title":"Migrating C/C++ Software to Mobile Platforms in the ADM Context","authors":"L. Martinez, C. Pereira, L. Favre","doi":"10.9781/ijimai.2017.436","DOIUrl":"https://doi.org/10.9781/ijimai.2017.436","url":null,"abstract":"Software technology is constantly evolving and therefore the development of applications requires adapting software components and applications in order to be aligned to new paradigms such as Pervasive Computing, Cloud Computing and Internet of Things. In particular, many desktop software components need to be migrated to mobile technologies. This migration faces many challenges due to the proliferation of different mobile platforms. Developers usually make applications tailored for each type of device expending time and effort. As a result, new programming languages are emerging to integrate the native behaviors of the different platforms targeted in development projects. In this direction, the Haxe language allows writing mobile applications that target all major mobile platforms. Novel technical frameworks for information integration and tool interoperability such as Architecture-Driven Modernization (ADM) proposed by the Object Management Group (OMG) can help to manage a huge diversity of mobile technologies. The Architecture-Driven Modernization Task Force (ADMTF) was formed to create specifications and promote industry consensus on the modernization of existing applications. In this work, we propose a migration process from C/C++ software to different mobile platforms that integrates ADM standards with Haxe. We exemplify the different steps of the process with a simple case study, the migration of “the Set of Mandelbrot” C++ application. The proposal was validated in Eclipse Modeling Framework considering that some of its tools and run-time environments are aligned with ADM standards.","PeriodicalId":143152,"journal":{"name":"Int. J. Interact. Multim. Artif. Intell.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116560415","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: 7

Taxonomies for Reasoning About Cyber-physical Attacks in IoT-based Manufacturing Systems 基于物联网的制造系统中网络物理攻击的推理分类

Int. J. Interact. Multim. Artif. Intell. Pub Date : 2017-03-01 DOI: 10.9781/ijimai.2017.437

Yao Pan, Jules White, D. Schmidt, Ahmad E. Elhabashy, L. Sturm, J. Camelio, C. Williams

{"title":"Taxonomies for Reasoning About Cyber-physical Attacks in IoT-based Manufacturing Systems","authors":"Yao Pan, Jules White, D. Schmidt, Ahmad E. Elhabashy, L. Sturm, J. Camelio, C. Williams","doi":"10.9781/ijimai.2017.437","DOIUrl":"https://doi.org/10.9781/ijimai.2017.437","url":null,"abstract":"The Internet of Things (IoT) has transformed many aspects of modern manufacturing, from design to production to quality control. In particular, IoT and digital manufacturing technologies have substantially accelerated product development- cycles and manufacturers can now create products of a complexity and precision not heretofore possible. New threats to supply chain security have arisen from connecting machines to the Internet and introducing complex IoT-based systems controlling manufacturing processes. By attacking these IoT-based manufacturing systems and tampering with digital files, attackers can manipulate physical characteristics of parts and change the dimensions, shapes, or mechanical properties of the parts, which can result in parts that fail in the field. These defects increase manufacturing costs and allow silent problems to occur only under certain loads that can threaten safety and/or lives. To understand potential dangers and protect manufacturing system safety, this paper presents two taxonomies: one for classifying cyber-physical attacks against manufacturing processes and another for quality control measures for counteracting these attacks. We systematically identify and classify possible cyber-physical attacks and connect the attacks with variations in manufacturing processes and quality control measures. Our taxonomies also provide a scheme for linking emerging IoT-based manufacturing system vulnerabilities to possible attacks and quality control measures.","PeriodicalId":143152,"journal":{"name":"Int. J. Interact. Multim. Artif. Intell.","volume":"34 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121000829","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: 67