2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)最新文献_第2页

Automatic Annotation of Object Instances by Region-Based Recurrent Neural Networks 基于区域递归神经网络的对象实例自动标注

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516608

Ionut Ficiu, Radu Stilpeanu, Cosmin Toca, A. Petre, C. Patrascu, M. Ciuc

引用次数: 1

Intelligent Decision Support for Pervasive Home Monitoring and Assisted Living 智能决策支持无处不在的家庭监控和辅助生活

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516592

Maria-Iuliana Bocicor, A. Molnar, Iuliana Marin, N. Goga, Raul Valor Perez, D. Cuesta-Frau

{"title":"Intelligent Decision Support for Pervasive Home Monitoring and Assisted Living","authors":"Maria-Iuliana Bocicor, A. Molnar, Iuliana Marin, N. Goga, Raul Valor Perez, D. Cuesta-Frau","doi":"10.1109/ICCP.2018.8516592","DOIUrl":"https://doi.org/10.1109/ICCP.2018.8516592","url":null,"abstract":"The current trend of population ageing leads to an increasingly larger population of older adults, who understandabl desire to continue living an independent and fulfilling life in their home and within their communities. While traditionally seen as a societal issue, we are currently at a point where advancement in science and technology enables us to augment human help with ambient assisted living solutions. This paper is the result of research and development undertaken within the framework of a European Union research project targeting the development of a cyber-physical system for assisted living and home monitoring. The system integrates an unobtrusive networkof wireless sensors with server software to provide ambient monitoring, location detection and real-time alerting. The present paper is focused on the system’s intelligent software components.The first is a business rules engine that can be configured to send real-time alerts in the case of certain ambient conditions or whe the location of the monitored person shows signification alteration from their usual movement patterns. The second component is a artificial intelligence-based location predictor, used to provide the monitored person’s location. Discrepancies between actual an expected location are used by the rule engine to trigger real-time alerts to caregivers.","PeriodicalId":259007,"journal":{"name":"2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116737243","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

Big Data Analytics for the Daily Living Activities of the People with Dementia 痴呆症患者日常生活活动的大数据分析

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516595

Dorin Moldovan, Adrian Olosutean, V. Chifu, C. Pop, T. Cioara, I. Anghel, I. Salomie

{"title":"Big Data Analytics for the Daily Living Activities of the People with Dementia","authors":"Dorin Moldovan, Adrian Olosutean, V. Chifu, C. Pop, T. Cioara, I. Anghel, I. Salomie","doi":"10.1109/ICCP.2018.8516595","DOIUrl":"https://doi.org/10.1109/ICCP.2018.8516595","url":null,"abstract":"Dementia is still an incurable disease that affects a big part of the population nowadays. It affects millions of people worldwide and the number is expected to increase significantly in the next decades. The persons with dementia face difficulties in performing the daily living activities (DLAs) due to movement disorders, poor coordination and memory loss and they need support from family members or health care professionals. In this paper several Big Data techniques are explored for the analysis of the DLAs of the people that have dementia in order to identify behavioral patterns. In particular this paper: (1) presents how the K-Means Clustering algorithm can be used for the identification of the number of types of DLAs performed by a person with dementia in a day, (2) presents how to apply the Collaborative Filtering algorithm for the prediction of the frequency of the DLAs and (3) compares several classification and regression algorithms for the identification of the days with anomalies with respect to a baseline and for the prediction of the durations of the DLAs of the people with dementia using a prototype developed in-house. Two datasets used in the experiments are taken from literature and a third dataset is derived from one of the previous datasets and used as simulated data.","PeriodicalId":259007,"journal":{"name":"2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121602023","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

Understanding and Making Sense of Maritime Navigation Datasets 理解和理解海上导航数据集

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516607

Liviu Nastase, Catalin Negru, Florin Pop

引用次数: 1

A Method for Automatic Pole Detection from Urban Video Scenes using Stereo Vision 基于立体视觉的城市视频场景极点自动检测方法

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516640

Bianca-Cerasela-Zelia Blaga, S. Nedevschi

{"title":"A Method for Automatic Pole Detection from Urban Video Scenes using Stereo Vision","authors":"Bianca-Cerasela-Zelia Blaga, S. Nedevschi","doi":"10.1109/ICCP.2018.8516640","DOIUrl":"https://doi.org/10.1109/ICCP.2018.8516640","url":null,"abstract":"Pole-like structures such as the ones used for traffic lights, traffic signs, utility poles, lampposts or even trees are encountered everywhere in urban scenarios. Because they are robust landmarks, they can help solve problems from the autonomous driving domain, such as localization, mapping, and navigation. In this paper, we propose a method that extracts poles from stereo camera information. First, the intensity images are analyzed to find areas of interest that could contain the desired landmarks. Then, we build U- and V-disparity maps that are used to estimate the position of the poles on the road images. Finally, we cluster the candidate regions of interest, which are then further refined to eliminate outliers. We also use an algorithm for enhancing the illumination of nighttime images, so that we can detect the desired landmarks at different times of the day. Our system is able to extract poles from the same road, on different driving conditions, days, or lanes, it accounts for the possibility of occlusions, and we are able to obtain both a relative and an absolute localization.","PeriodicalId":259007,"journal":{"name":"2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129374309","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

Learning Web Content Extraction with DOM Features 学习用DOM特征提取Web内容

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516632

Nichita Utiu, Vlad-Sebastian Ionescu

引用次数: 5

Highly Accurate Power Profiling of Bluetooth Low Energy Communication 蓝牙低功耗通信的高精度功率分析

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516583

Nicusor Iancu-Puiu, M. Marcu

引用次数: 1

Multimodal sparse LIDAR object tracking in clutter 杂波条件下多模态稀疏激光雷达目标跟踪

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516646

Mircea Paul Muresan, S. Nedevschi

{"title":"Multimodal sparse LIDAR object tracking in clutter","authors":"Mircea Paul Muresan, S. Nedevschi","doi":"10.1109/ICCP.2018.8516646","DOIUrl":"https://doi.org/10.1109/ICCP.2018.8516646","url":null,"abstract":"one of the key components of the perception system in an autonomous vehicle or ADAS is the target tracking module. Using target tracking in the sea of clutter, self-driving cars are able to better understand the environment and make predictions about the surrounding objects. Cuboids obtained from a sparse LIDAR often exhibit a fluctuating behavior due to segmentation problems and errors accumulated from the motion correction module. Furthermore, targets in real life scenarios do not move in a predictable manner, so it is very difficult for a classical motion model to describe the complex behavior of any road objects in such cases. In this paper we propose a two-step data association scheme that efficiently and effectively finds correspondences between tracks and measurements. Then we aim to generate better position estimates for objects with an ambiguous dynamic behavior by associating and combining the results from two different motion models. The proposed solution runs in real time and it was validated using a high precision GPS, and also by projecting the prediction results in the corresponding intensity image and assessing whether the prediction falls on the correct item.","PeriodicalId":259007,"journal":{"name":"2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"56 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116758007","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: 12

Segment Trees based Traffic Congestion Avoidance in Connected Cars Context 基于路段树的网联汽车交通拥堵避免研究

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516609

Ioan Stan, Dan Toderici, R. Potolea

引用次数: 5

A Framework for Threats Analysis Using Software-Defined Networking 基于软件定义网络的威胁分析框架

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI: 10.1109/ICCP.2018.8516636

F. Moldovan, Ciprian Oprișa

引用次数: 1