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

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Smart home environment aimed for people with physical disabilities 面向身体残疾人士的智能家居环境
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737115
Aleksandar Stojmenski, Boban Joksimoski, I. Chorbev, V. Trajkovik
{"title":"Smart home environment aimed for people with physical disabilities","authors":"Aleksandar Stojmenski, Boban Joksimoski, I. Chorbev, V. Trajkovik","doi":"10.1109/ICCP.2016.7737115","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737115","url":null,"abstract":"In this paper we analyze the possibilities and methods for using assistive technologies with focus on the people that cannot regularly control different aspects of their home environments. This paper presents a smart home environment platform for assisting people with physical disabilities. Four modules are included in the platform that enable end users of the system to complete everyday activities without additional assistance. 3D cameras are used to capture facial landmarks and expressions in order to map the user intent into a specific action in the smart home environment. Actuators are triggered to complete actions based on the detected and mapped facial expressions. The system is targeted at users that suffer from motor disabilities and are unable to use their hands and feet to control the surrounding environment.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"28 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":"115233843","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
Tuning model parameters through a Genetic Algorithm approach 通过遗传算法调整模型参数
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737135
A. Coroiu
{"title":"Tuning model parameters through a Genetic Algorithm approach","authors":"A. Coroiu","doi":"10.1109/ICCP.2016.7737135","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737135","url":null,"abstract":"The paper presents some techniques used to determine optimal values for the parameters model. The search methods used in our paper are: Conventional Grid Search, Randomized Grid Search and Genetic Algorithms (GAs). In a Conventional Grid Search on a data set all possible combinations of parameter values are evaluated and the best combination is retained. Randomized Grid Search realizes a randomized search over parameters, where each setting is sampled from a distribution over possible parameter values. An important benefit of this is that adding parameters that do not influence the performance does not decrease efficiency. GAs represent a successful method used to solve complex optimization problems. In this paper, we will use GAs to tune the optimal parameters which are required for different classification models. The paper proposes to compare the results achieved using these three methods of searching parameters for three classification models: Decision Trees, Random Forests and k-Nearest-Neighbors.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"208 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":"124682412","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: 5
In-memory dedicated dot-plot analysis for DNA repeats detection 用于DNA重复序列检测的内存专用点图分析
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737166
P. Pop
{"title":"In-memory dedicated dot-plot analysis for DNA repeats detection","authors":"P. Pop","doi":"10.1109/ICCP.2016.7737166","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737166","url":null,"abstract":"DNA repeats are believed to play significant roles in genome evolution and manifestation of severe diseases. Many of the methods for finding repeated sequences use distances, similarities and consensus sequences to generate candidate sequences. This paper presents results obtained using a dedicated numerical representation with a mapping algorithm (using DNA distances and consensus types) and an in-memory dot-plot analysis combined with image processing techniques, to visual isolate the positions of DNA repeats with different lengths.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"4 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":"126824216","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
Architecture design of pattern detection system for Smart cities datasets 智慧城市数据集模式检测系统体系结构设计
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737180
Valentina-Camelia Bojan, Ionut-Gabriel Raducu, Florin Pop, M. Mocanu, V. Cristea
{"title":"Architecture design of pattern detection system for Smart cities datasets","authors":"Valentina-Camelia Bojan, Ionut-Gabriel Raducu, Florin Pop, M. Mocanu, V. Cristea","doi":"10.1109/ICCP.2016.7737180","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737180","url":null,"abstract":"Nowadays, there is more and more interest in the research and development of systems, applications, tools or frameworks for `smart' environments. We do not want to bother with useless actions or decisions anymore because we want to spent our time doing more valuable activities. This would only be one reason to put the bases and after that to build a platform able to extract patterns and useful information from data measured by devices that monitor the `smart' environment. A platform of this kind would become the main reason for the environment to be a `smart' one and for more people to understand the value of such an environment. In this paper we investigate the need of a global and generic platform able to work with many type of datasets, with various systems and to serve different `Smart cities' applications. Through this platform we aim to unify the need of all `Smart cities' systems for having and using mined data, patterns extracted from the generated (measured) raw data.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"18 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":"125243926","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
Semantic-based IoT device discovery and recommendation mechanism 基于语义的物联网设备发现和推荐机制
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737131
Stefana Chirila, C. Lemnaru, M. Dînsoreanu
{"title":"Semantic-based IoT device discovery and recommendation mechanism","authors":"Stefana Chirila, C. Lemnaru, M. Dînsoreanu","doi":"10.1109/ICCP.2016.7737131","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737131","url":null,"abstract":"The Internet of Things is about data, different devices from different places and the connectivity between them. Our goal is to find a way to interact with the devices and their data, according to the customer's requirements, in the IoT context, all this supported by the use of Web services. We present a broker based architecture for service selection which facilitates devices to specify both functional and non-functional requirements. We develop a device discovery and recommendation mechanism based on a proposed web service similarity metric.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"2 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":"130850511","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: 14
Towards application of non-invasive environmental sensors for risks and activity detection 面向应用非侵入性环境传感器进行风险和活动检测
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737117
Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, V. Trajkovik
{"title":"Towards application of non-invasive environmental sensors for risks and activity detection","authors":"Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, V. Trajkovik","doi":"10.1109/ICCP.2016.7737117","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737117","url":null,"abstract":"One of the main goals of Ambient Assisted Living (AAL) is to provide supportive environment for the elderly or disabled. Such environments are not feasible without correctly identifying states and activities of the persons receiving the care. They rely on the interaction and processing of data originating from many components and objects in the surrounding. In order to collect the data, various sensors are used to monitor the environment, as well as the person's health parameters. One of the main concerns in AAL is preservation of user's privacy. In this paper we address that by proposing a non-intrusive approach for data collection and identification of daily activity and risks. We describe the wiring of such system based on cheap non-intrusive sensors, deployment in a real environment, the protocols for data fusion and processing, and explain how machine learning could be employed for detecting risks and activities. The main contribution of this paper is development of non-intrusive sensor kits that can be easily deployed in real-life environments and are capable of collecting data that can reliable detect activities and risk.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"49 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":"133174833","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: 18
Optimizing Census-based Semi Global Matching by genetic algorithms 基于遗传算法的人口普查半全局匹配优化
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737146
Vlad-Cristian Miclea, S. Nedevschi
{"title":"Optimizing Census-based Semi Global Matching by genetic algorithms","authors":"Vlad-Cristian Miclea, S. Nedevschi","doi":"10.1109/ICCP.2016.7737146","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737146","url":null,"abstract":"Recent years have shown a great progress in self-driving vehicles and stereovision has proven to be a key aspect towards this goal. Semi-Global Matching (SGM) algorithm is among the best stereo solutions, capable of producing reliable results at reasonable cost. Census transform is generally preferred as a cost metric due to its robustness and invariance to lighting conditions. This paper proposes an original methodology for finding both the optimal Census mask and the best values for the penalties P1 and P2 in SGM by using genetic algorithms (GA). The obtained census masks are thoroughly analyzed and the best ones can be combined in a weighted center-symmetric census to increase the performance of SGM. Kitti test cases show that our GA-based censuses as well as our novel weighted center-symmetric census outperform dense, sparse and center-symmetric counterparts for Census only and SGM.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"294 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":"133572952","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
Detection and prevention system against cyber attacks and botnet malware for information systems and Internet of Things 针对信息系统和物联网的网络攻击和僵尸网络恶意软件的检测和预防系统
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737142
Ionut Indre, C. Lemnaru
{"title":"Detection and prevention system against cyber attacks and botnet malware for information systems and Internet of Things","authors":"Ionut Indre, C. Lemnaru","doi":"10.1109/ICCP.2016.7737142","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737142","url":null,"abstract":"The explosion of interconnected devices and the Internet of Things has triggered new important challenges in the area of internet security, due to the various device vulnerabilities and increased potential for cyber-attacks. This paper touches on the areas of Cybersecurity, intrusion detection, prevention systems and artificial intelligence. Our aim is to create a system capable of understanding, detecting and preventing malicious connections using applied concepts of machine learning. We emphasize the importance of selecting and extracting features that can lead to an accurate decision of classification for malware and intrusion attacks. We propose a solution that combines features that extract correlations from the packet history for the same and different services and hosts, based on the rate of REJ, SYN and ACK flags and connection states, with HTTP features extracted from URI and RESTful methods. Our proposed solution is able to detect network intrusions and botnet communications with a precision of 98.4% on the binary classification problem.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"4 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":"124561505","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: 33
Stereoscopic scene flow estimation with global motion prior 基于全局运动先验的立体场景流估计
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737147
Claudiu Decean, S. Nedevschi
{"title":"Stereoscopic scene flow estimation with global motion prior","authors":"Claudiu Decean, S. Nedevschi","doi":"10.1109/ICCP.2016.7737147","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737147","url":null,"abstract":"Scene flow estimation jointly recovers dense scene structure and motion from at least two pairs of stereo images, thus generalizing classical disparity and optical flow estimation. Such a complete description of the scene has many uses in the field of automated driving such as dynamic traffic object detection or infrastructure element detection. Estimation of the structure and motion of each scene element is a difficult problem because of the large number of unknowns that need to be assessed. In order to increase the accuracy and the robustness of the estimation, we propose to extend the piecewise rigid scene model used in modern state of the art scene flow algorithms with a global motion prior that presumes that a large number of objects in the scene are static. For obtaining the scene flow result, we proposed a two-step iterative approach: A Nelder-Mead nonlinear minimization accompanied by a spatial propagation of current best estimation to neighboring image regions.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"44 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":"116687612","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
Unobtrusive intake actions monitoring through RGB and depth information fusion 通过RGB和深度信息融合监测不显眼的吸入动作
2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737116
Enea Cippitelli, Samuele Gasparrini, E. Gambi, S. Spinsante
{"title":"Unobtrusive intake actions monitoring through RGB and depth information fusion","authors":"Enea Cippitelli, Samuele Gasparrini, E. Gambi, S. Spinsante","doi":"10.1109/ICCP.2016.7737116","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737116","url":null,"abstract":"This paper presents a solution, based on the data fusion approach, to monitor the food and drink intake actions of elderly people during their activities of daily living. The system is non-intrusive and completely transparent to the user. The developed monitor technique is able to overcome the need of relying on direct assistance or diary-based self-monitoring. The proposed solution exploits a depth and RGB camera placed on the ceiling, in top-down view. Starting from the depth information, an adapted version of the Self-Organized Map algorithm is applied to a defined skeleton model, to track the person's movements. The RGB stream is used to recognize specific elements located on the table during eating-related activities, such as glasses. The fusion of these processed data leads to the identification of specific intake behaviours. The system performances have been successfully tested with healthy volunteers of different age and height; the results are promising and confirm the system capacity to recognize the intake activity.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"80 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":"115133652","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: 10
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