{"title":"An Accurate Probabilistic Model for Community Evolution Analysis in Social Network","authors":"I. Gueye, Joseph Ndong, Idrissa Sarr","doi":"10.1109/SITIS.2015.21","DOIUrl":"https://doi.org/10.1109/SITIS.2015.21","url":null,"abstract":"The scope of the work is to build a framework able to study the evolution of a set of communities based on their underlying social activities. Generally, for a given community, many subgroups may exist and evolve with different and various opinions or behaviors. So, in this paper, we will focus on the identification of the potential subgroups and their potential relation/correlation corresponding to self-similarity over time. Clearly, we want to know if the subgroups remain unchanged then being stable or might they evolve to merge by forming new groups. In this respect, social engagement that refers to the participation of actors from a community to the activities of a social group is used to distribute activities into several classes. So building subgroups will be our first challenge and analyzing temporal correlation between them will be another interesting issue in this present work. The first problem can be solved by analyzing the activities inside the given initial community. We believe that, in many situations, activities should be characterized by parametric distributions as the gaussians. So, by means of the gaussian mixture modeler (GMM), subgroups can be identified successfully. Thereafter, the intrinsic relation between subgroups and their temporal evolution can be studied clearly with the calibration of hidden Markov models (HMM). The achievement of this study can help management operators to take decisions in two ways: i) since each GMM subgroup may correspond to a single individual's opinion/behavior, typical decision could be made for a given social group ii) also, the manager can take advantageous decisions by merging opinions for subgroups which have self-similarities, the HMM is here to learn more about this issue. We show the effectiveness of our approach by using real life data from Reddit.com.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131182334","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}
{"title":"Topological Evaluation of Methods for Reconstruction of Genetic Regulatory Networks","authors":"Jakub Olczak, N. Kiani, H. Zenil, J. Tegnér","doi":"10.1109/SITIS.2015.107","DOIUrl":"https://doi.org/10.1109/SITIS.2015.107","url":null,"abstract":"Network inference is advancing rapidly, and new methods are proposed on a regular basis. Understanding the advantages and limitations of different network inference methods is key to their effective application in different circumstances. The common structural properties shared by diverse networks naturally pose a challenge when it comes to devising accurate inference methods, but surprisingly, there is a paucity of comparison and evaluation methods. Historically, every new methodology has only been tested against \"gold standard\" purpose-designed synthetic and real-world (validated) biological networks. In this paper we aim to assess the impact of taking into consideration topological aspects on the evaluation of the final accuracy of an inference procedure. Specifically, we will compare the best inference methods, in statistical terms, for preserving the topological properties of synthetic and biological networks. A new method for performance comparison is introduced by borrowing ideas from gene set enrichment analysis. Experimental results show that no individual algorithm stands out among the three inference tasks assessed, and the challenging nature of network inference is evident in the struggle of some of the algorithms to turn in a performance that's better than random guesswork. Therefore care should be taken to suit the method used to the specific purpose.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129861760","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}
{"title":"Boosting of Association Rules for Robust Emergency Detection","authors":"Emanuele Cipolla, Filippo Vella","doi":"10.1109/SITIS.2015.105","DOIUrl":"https://doi.org/10.1109/SITIS.2015.105","url":null,"abstract":"The use of association rules extracted from daily geophysical measures allows for the detection of previously unknown connections between events, including emergency conditions. While these rules imply that the presence of a given symbol occurs while a second one is present, their classification performance may vary with respect to test data. We propose to build strong classifiers out of simpler association rules: their use shows promising results with respect to their accuracy.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132127464","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}
{"title":"Thai Handwritten Verification System on Documents for the Investigation","authors":"Narit Hnoohom, Narumol Chumuang, M. Ketcham","doi":"10.1109/SITIS.2015.70","DOIUrl":"https://doi.org/10.1109/SITIS.2015.70","url":null,"abstract":"Forensic biology is the application of biology to law enforcement. Handwriting behavior is one of the biometrics that can be used to identify those who are ownership. This paper proposes an algorithm for Thai handwritten verification on documents. This work intended to prove the handwriting in the investigation. The main issue presented in this paper is divided into three processes including data preparation, classification and results. Consequential, two steps of neuron network algorithm are used to resolve in classification with high accuracy. Then, the models of handwriting are created. Finally, we define criterion to compare between unknown handwritten with our model. The result shows height accuracy 90.00%.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130017221","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}
{"title":"Video-Based People Fall Detection via Homography Mapping of Foreground Polygons from Overlapping Cameras","authors":"Mikaël A. Mousse, C. Motamed, E. C. Ezin","doi":"10.1109/SITIS.2015.56","DOIUrl":"https://doi.org/10.1109/SITIS.2015.56","url":null,"abstract":"In this paper, we investigate a video-based method of detecting fall incidents from overlapping cameras. Our aim here is to propose a novel method, without any wearable device, to detect falls on the floor with a multiple cameras system by using homographic projection on aground plane (or on reference camera view plane). Two relatively orthogonal views are utilized, in turn, simplifying the estimation of the surface of the person which is in contact with the ground according of the foreground information of each camera. This information is computed in order to differentiate lying on floor posture which can be considered as fall to other position. The performance of our method is tested on a public multi-view fall dataset. The results show the accuracy of our proposed algorithm.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130647785","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}
R. David, J. Féral, S. Gachet, Alrick Dias, C. Blanpain, J. Lecubin, C. Diaconu, C. Surace, K. Gibert
{"title":"A First Prototype for Indexing, Visualizing and Mining Heterogeneous Data in Mediterranean Ecology: Within the IndexMed Consortium Interdisciplinary Framework","authors":"R. David, J. Féral, S. Gachet, Alrick Dias, C. Blanpain, J. Lecubin, C. Diaconu, C. Surace, K. Gibert","doi":"10.1109/SITIS.2015.119","DOIUrl":"https://doi.org/10.1109/SITIS.2015.119","url":null,"abstract":"Although biodiversity has been extensively studied over the last centuries, recent evidences suggest that links between collected data are still be missing. In order to fill this knowledge gap and at the initiative of the CNRS Institute of Ecology and Environment (INEE), IndexMed, a unique and multidisciplinary consortium consisting of ecologists, sociologists, economists, mathematicians, IT specialists and astronomers was created. Through exploratory projects, IndexMed develops new methods for analyzing data on Mediterranean biodiversity and implements solutions based on interoperability technologies already deployed in other disciplines. In particular, IndexMed aims to build a prototype of such data graphs and \"data cubes\". This paper will first explore the ability of tools and methods by means of graphs to connect biodiversity objects with non-centralized data. It will then introduce the use of algorithms and graphs to analyze environmental and societal responses and presents a prototype under development.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130914738","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}
{"title":"A Person Re-Identification System for Mobile Devices","authors":"George A. Cushen","doi":"10.1109/SITIS.2015.96","DOIUrl":"https://doi.org/10.1109/SITIS.2015.96","url":null,"abstract":"Person re-identification is a critical security task for recognizing a person across spatially disjoint sensors. Previous work can be computationally intensive and is mainly based on low-level cues extracted from RGB data and implemented on a PC for a fixed sensor network (such as traditional CCTV). We present a practical and efficient framework for mobile devices (such as smart phones and robots) where high-level semantic soft biometrics are extracted from RGB and depth data. By combining these cues, our approach attempts to provide robustness to noise, illumination, and minor variations in clothing. This mobile approach may be particularly useful for the identification of persons in areas ill-served by fixed sensors or for tasks where the sensor position and direction need to dynamically adapt to a target. Results on the BIWI dataset are preliminary but encouraging. Further evaluation and demonstration of the system will be available on our website.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134312956","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}
Alex Gabriel, D. Monticolo, M. Camargo, M. Bourgault
{"title":"Multi-agent System to Support Creative Workshop","authors":"Alex Gabriel, D. Monticolo, M. Camargo, M. Bourgault","doi":"10.1109/SITIS.2015.114","DOIUrl":"https://doi.org/10.1109/SITIS.2015.114","url":null,"abstract":"The creative workshops (creative jam or design jam) are an increasingly used way to produce innovation avenue in a short time. Due to the increasing popularity in company and organization, it is subject to computer assistance to increase productivity, and information capitalization. The actual digital systems are limited in supporting the complex process of creative workshops. The actual papers propose to apply the multi-agent system approach and more specifically an organizational approach to design a creative support system that will cover the entire complexity of the creative workshop.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133584807","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}
{"title":"Heart Sound Enhancement Based on Improved Spectral Subtraction","authors":"Lu Zhang, Lei Wang","doi":"10.1109/SITIS.2015.54","DOIUrl":"https://doi.org/10.1109/SITIS.2015.54","url":null,"abstract":"Spectral subtraction is widely used in the speech enhancement, and has been shown to play a good role. Firstly, in this paper the advantages and disadvantages of spectral subtraction are analyzed. And then the characteristics of heart sound are analyzed, an improved method based on spectral subtraction is proposed and it is applied in the enhancement of heart sound. Through analysis of simulation results, the method can effectively suppress noise and improve heart sound. So this method can play a good role in heart sound enhancement.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116556732","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}
{"title":"Development of Color QR Code for Increasing Capacity","authors":"Nutchanad Taveerad, S. Vongpradhip","doi":"10.1109/SITIS.2015.42","DOIUrl":"https://doi.org/10.1109/SITIS.2015.42","url":null,"abstract":"Barcodes have been widely popular. Their popularity has encouraged an ongoing invention of decoding methods. Barcodes can be categorized into 2 main groups, namely one-dimension (1D) barcodes at which information is stored horizontally and two-dimension (2D) barcodes which contain information in both vertical and horizontal direction, promising a higher storage capacity compared to 1D barcodes. Despite high data density, an amount of information obtained in 2D barcodes still limited to some extent. This study selected QR Code (Quick Response Code) is a type of 2D barcode because firstly, it can handle a variety of information. Secondly, decoding is reasonably straightforward. Finally, the structure of QR code is specified clearly by its developer. This research aimed to increase QR Code capacity by proposing a color Quick Response Code (color QR code) encoding concept which can hold a larger amount of information than that of the traditional black and white QR Code regarding their physical size. A two-color (black and white) QR Code can store 1 bit in each module only, whereas a module of a color QR code with sixteen different colors can contain 4-bit data. In order to decode a color QR code, this study used a code reader equipped with at least an 8-megapixel camera and a decoding application was developed on Android (Android application on mobile phone) and Java (Java application on PC) platform.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117354064","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}