2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)最新文献_第3页

Artemis - an extensible natural language framework for data querying and manipulation Artemis——用于数据查询和操作的可扩展自然语言框架

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737127

Ionut Tamas, I. Salomie

{"title":"Artemis - an extensible natural language framework for data querying and manipulation","authors":"Ionut Tamas, I. Salomie","doi":"10.1109/ICCP.2016.7737127","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737127","url":null,"abstract":"Filtering and finding items of interest in large volumes of data, such as products in an e-commerce application or invoices in an ERP web platform can be a burdensome task, either for novice users that do not have insights on how the data is modeled or for those users who are already accustomed to the used system, but usually their filtering needs are significantly more complex. Natural language processing provides a way to dramatically improve the search experience for end-users and even though NLP is an AI-complete problem for the moment, based on the underlying data models the user can conduct comprehensive queries in a large set of scenarios guided by powerful context-aware prediction mechanisms. Based on this we have built Artemis, an extensible framework that transforms valid query inputs into filters applicable to underlying data models, stored either in-memory or in RDBMS, along with an extension mechanism to further enrich queries expressiveness via annotations or custom configuration and a context-aware prediction mechanism to direct the user into providing a valid query input, while decreasing the searching time. The conducted usability tests, showed that Artemis yields significantly reduced time-to-search, both for novice or experienced end-users with little or no training and for application developers it provides a straightforward apparatus for further improving expressivity based on custom, business-specific vocabulary.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116664512","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

Scheduling crowdsensing data to smart city applications in the cloud 将众测数据调度到云中的智慧城市应用程序

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737179

Aseel Alkhelaiwi, D. Grigoras

引用次数: 6

Multi-camera-based smoke detection and traffic pollution analysis system 基于多摄像头的烟雾探测与交通污染分析系统

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737152

P. Pyykönen, P. Peussa, M. Kutila, K. Fong

{"title":"Multi-camera-based smoke detection and traffic pollution analysis system","authors":"P. Pyykönen, P. Peussa, M. Kutila, K. Fong","doi":"10.1109/ICCP.2016.7737152","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737152","url":null,"abstract":"This article studies the smoke and exhaust detection system that has been developed for monitoring exhaust gases to enforce environmental laws and regulations. In many highly populated countries the HSU (Hart ridge Smoke Unit) grade is used to impose penalties. In many cases, HSU values over 40 ... 50 are leading to legal actions. This paper proposes a method that adopts two cameras, a far infrared camera and a high-resolution visible wavelength camera, as a detection system for smoky vehicle detection. The far infrared camera is used for detecting the location of the vehicle exhaust fumes. This thermal information is fused with visible spectrum information from the high-resolution camera. An algorithm evaluates if the identified vehicles are causing visible exhaust smoke. If smoke is detected, the system stores evidence for further actions. The first prototype version of the system needed an automatic adaptation procedure in order to calibrate far infrared and high-resolution images together. Mechanically, the system can be set up quickly in the chosen roadside location. A developed prototype system is one step towards future tools for authorities to automatically detect and classify vehicles emitting smoke. If a permanent set-up is desired, the system can be installed on a lamp post, beneath an overhead bridge or on other similar structures.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127297604","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: 22

A Kinect based adaptive exergame 基于Kinect的自适应游戏

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737132

I. Mocanu, Cosmin Marian, L. Rusu, R. Arba

引用次数: 10

A stereovision based rear-end collision warning system on mobile devices 基于立体视觉的移动设备追尾预警系统

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737161

Andra Petrovai, R. Danescu, M. Negru, C. Vancea, S. Nedevschi

{"title":"A stereovision based rear-end collision warning system on mobile devices","authors":"Andra Petrovai, R. Danescu, M. Negru, C. Vancea, S. Nedevschi","doi":"10.1109/ICCP.2016.7737161","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737161","url":null,"abstract":"In this paper, we tackle the challenge of developing a stereovision-based driving assistance system for collision avoidance on a mobile device. This novel system is aimed to work in an urban environment, where a driver experiences lots of stop and go situations. In cities, rear-end accidents are the most common type of accidents, since a momentary lapse of concentration can lead to unsafe headway. The system detects and tracks the vehicle in front of the host vehicle and issues a warning if a crash is imminent, such that the driver has sufficient time to brake or take another action to avoid the accident. Complex functions were developed for lane detection and tracking and vehicle detection and tracking. The rear-end collision warning is based on the computation of Time-To-Collision and Time-Gap taking into account host vehicle speed, relative speed and relative acceleration. Stereovision-based algorithms for driving assistance are computational intensive and mobile devices as they are today have reduced resources. Our algorithms run in real-time, at 20-22 frames/second and at the same time they are robust and have high accuracy.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130745989","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

Optimal maximum likelihood estimates fusion in distributed network of sensors 分布式传感器网络的最优最大似然估计融合

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737176

B. Madan, Doina Bein

{"title":"Optimal maximum likelihood estimates fusion in distributed network of sensors","authors":"B. Madan, Doina Bein","doi":"10.1109/ICCP.2016.7737176","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737176","url":null,"abstract":"A distributed network of sensors leverages its performance by aggregating information gathered by individual sensors through the process of sensor data fusion. Estimating parameters using a centralized scheme entails transporting data from multiple sensors to a centralized fusion center, leading to high network bandwidth consumption. Additionally, fusing raw sensor data from sensors with different sensing modalities may not be feasible. We propose an alternative approach in which each sensor first individually estimates the unknown parameters based solely on its own sensor data. Since sensors may not have a-priori knowledge of the probability distribution of the unknown parameters, each sensor independently computes its individual maximum likelihood estimates. Individual estimates along with their sufficient statistics are then communicated to the fusion center, which treats these estimates as observations to compute the optimum aggregated maximum likelihood estimates by maximizing the new likelihood function of these observations. The proposed technique offers two significant advantages: (i) Since each sensor computes its individual estimates based solely on its own sensed data, it is easily applicable to sensor networks having multi-modal sensors, and (ii) As compared to raw sensor data, communicating estimates and their sufficient statistics to the fusion center requires substantially less network bandwidth. Performance of the aggregated estimates is evaluated through simulations and by computing the Cramer-Rao lower bound.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122396339","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: 3

Multimedia sharing over opportunistic networks 机会网络上的多媒体共享

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737181

Radu Dragan, Radu-Ioan Ciobanu, C. Dobre, C. Mavromoustakis, G. Mastorakis

引用次数: 2

Organizing intelligent vehicles at traffic lights to decrease travel time in a double lane road 在红绿灯处组织智能车辆，减少双车道道路的行驶时间

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737163

R. Reghelin, Eduardo da Silva

引用次数: 0

Human activity recognition and monitoring for elderly people 老年人人体活动识别与监测

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737171

G. Sebestyen, I. Stoica, A. Hangan

引用次数: 40

Discriminant color texture descriptors for diabetic retinopathy recognition 鉴别颜色纹理描述符用于糖尿病视网膜病变识别

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737165

Holly H. Vo, Abhishek Verma

引用次数: 11