J. Vis. Lang. Comput.最新文献

Ceiling-Vision-Based Mobile Object Self-Localization: A Composite Framework 基于天花板视觉的移动物体自定位:一个复合框架

J. Vis. Lang. Comput. Pub Date : 2021-12-10 DOI: 10.18293/jvlc2021-n2-019

A. Cuzzocrea, Luca Camilotti, E. Mumolo

引用次数: 0

Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology and Framework 基于深度学习的真实文本语料库情感自动检测与分析:模型、方法与框架

J. Vis. Lang. Comput. Pub Date : 2021-12-10 DOI: 10.18293/jvlc2021-n2-016

A. Cuzzocrea, Giosuè Lo Bosco, Mariano Maiorana, G. Pilato, Daniele Schicchi

引用次数: 0

A Case Study of Testing an Image Recognition 一个测试图像识别的案例研究

J. Vis. Lang. Comput. Pub Date : 2021-07-09 DOI: 10.18293/seke2021-194

Chuanqi Tao, Dongyu Cao, Hongjing Guo, J. Gao

引用次数: 0

An Effective and Efficient Machine-Learning-Based Framework for Supporting Event Detection and Analysis in Complex Environments 一种支持复杂环境中事件检测和分析的基于机器学习的有效框架

J. Vis. Lang. Comput. Pub Date : 2020-07-15 DOI: 10.18293/jvlc2020-n1-023

A. Cuzzocrea, E. Mumolo

{"title":"An Effective and Efficient Machine-Learning-Based Framework for Supporting Event Detection and Analysis in Complex Environments","authors":"A. Cuzzocrea, E. Mumolo","doi":"10.18293/jvlc2020-n1-023","DOIUrl":"https://doi.org/10.18293/jvlc2020-n1-023","url":null,"abstract":"In this paper we describe a falls detection and classification algorithm for discriminating falls from daily life activities using a MEMS accelerometer. The algorithm is based on a shallow Neural Network with three hidden layers, used as fall/non fally classifier, trained with daily life activities features and fall features. The novelty of this algorithm is that synthetic falls are generated as multivariate random Gaussian features, so only real daily life features must be collected during some day of normal living. Moreover, the features related to synthetic fall events are generated as complement of normal features. First of all, the features acquired during daily life are clustered by Principal Component Analysis and no Fall activities shall be recorded. The complement set of the normal features is found and used as a mask for Monte Carlo generation of synthetic fall. The two feature sets, namely the features recorded from daily life activities and those artificially generated are used to train the Neural Network. This approach is suitable for a practical utilization of a Neural Network based fall detection characterized by high Recall-Precision rate.","PeriodicalId":275847,"journal":{"name":"J. Vis. Lang. Comput.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131588020","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

A Framework for Intrusion Detection Targeted at Non-Expert Users 一种针对非专业用户的入侵检测框架

J. Vis. Lang. Comput. Pub Date : 2020-07-15 DOI: 10.18293/jvlc2020-n1-014

Bernardo Breve, Stefano Cirillo, V. Deufemia

引用次数: 0

An Innovative System for Supporting Acquisition and Reproduction of Gestures in Storytelling Humanoid Robots 一种支持讲故事类人机器人手势获取和再现的创新系统

J. Vis. Lang. Comput. Pub Date : 2020-07-15 DOI: 10.18293/jvlc2020-n1-017

A. Augello, Angelo Ciulla, A. Cuzzocrea, S. Gaglio, G. Pilato, Filippo Vella

引用次数: 0

Collaborative E-learning Environments with Cognitive Computing and Big Data 基于认知计算和大数据的协同电子学习环境

J. Vis. Lang. Comput. Pub Date : 2019-09-08 DOI: 10.18293/jvlc2019n1-007

M. Coccoli, P. Maresca, A. Molinari

{"title":"Collaborative E-learning Environments with Cognitive Computing and Big Data","authors":"M. Coccoli, P. Maresca, A. Molinari","doi":"10.18293/jvlc2019n1-007","DOIUrl":"https://doi.org/10.18293/jvlc2019n1-007","url":null,"abstract":"The actual scenario of e-learning environments and techniques is fast-changing from both the technology side and the users’ perspective. In this vein, applications and services as well as methodologies are evolving rapidly, running after the more recent innovations and thus adopting distributed cloud architectures to provide the most advanced solutions. In this situation, two influential technological factors emerge: the former is cognitive computing, which can provide learners and teachers with innovative services enhancing the whole learning process, also introducing improvements in human-machine interactions; the latter is a new wave of big data derived from heterogeneous sources, which impacts on educational tasks and acts as enabler for the development of new analytics-based models, for both management activities and education tasks. Concurrently, from the side of learning techniques, these phenomena are revamping collaborative models so that we should talk about communities rather than classrooms. In these circumstances, it seems that current Learning Management Systems (LMS) may need a redesign. In this respect, the paper outlines the evolutionary trends of Technology-Enhanced Learning (TEL) environments and presents the results achieved within two experiences carried on in two Italian universities. © 2019 KSI Research h","PeriodicalId":275847,"journal":{"name":"J. Vis. Lang. Comput.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122075479","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

Run-Time Adaptation of Modalities of Interaction and Context of Use in Web MobileApps Web移动应用中交互方式和使用情境的运行时适应

J. Vis. Lang. Comput. Pub Date : 2019-09-08 DOI: 10.18293/jvlc2019-n2-011

Danilo Camargo Bueno, L. Zaina

引用次数: 0

Graphical Animations of the Suzuki-Kasami Distributed Mutual Exclusion Protocol 铃木kasami分布式互斥协议的图形动画

J. Vis. Lang. Comput. Pub Date : 2019-07-08 DOI: 10.18293/DMSVIVA2019-012

D. Bui, K. Ogata

引用次数: 3

Optimizing type-specific instrumentation on the JVM with reflective supertype information 使用反射超类型信息在JVM上优化特定于类型的插装

J. Vis. Lang. Comput. Pub Date : 2018-12-01 DOI: 10.1016/j.jvlc.2018.10.007

Andrea Rosà, Walter Binder

引用次数: 6