Pedro Chávez Barrios, D. Monticolo, Sahbi Sidhom, Alex Gabriel
{"title":"An Organizational Model to Understand the Creativity Workshop","authors":"Pedro Chávez Barrios, D. Monticolo, Sahbi Sidhom, Alex Gabriel","doi":"10.1109/SITIS.2017.87","DOIUrl":"https://doi.org/10.1109/SITIS.2017.87","url":null,"abstract":"There are a great interest in developing and using creativity in our society. We observe that industry and educative centers organize creativity workshops in order to solve problems. Creativity workshops have primordial elements such as creative solvers, creative supporters, and some activities to generate ideas. Their objectives are to apply creativity methods to generate ideas. The ideas generation process is a collaborative process among different activities (ideas creation, clustering, evaluation, etc.) and among participants which have different roles, point of view and experiences. We consider each activity as an organization where participants work together to achieve a common goal which is the idea generation. We propose in this paper to use an organizational approach to model the idea management process from the interaction among the roles during all the creativity activities.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132417780","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 Review on Applications of Big Data for Disaster Management","authors":"Muhammad Arslan, Ana Roxin, C. Cruz, D. Ginhac","doi":"10.1109/SITIS.2017.67","DOIUrl":"https://doi.org/10.1109/SITIS.2017.67","url":null,"abstract":"The term “disaster management” comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs, improved comfort, usability and endurance based on the integration of energy consumption data, environmental conditions and levels of occupancy. This paper aims presenting a systematic literature review on the applications of big data in disaster management. The paper will first presents the visual definition of disaster management and describes big data; it will then illustrate the findings and gives future recommendations after a systematic literature review.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114407528","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":"Configurable Refined Structure Tree","authors":"Wehbi Benallal, M. Barhamgi, D. Benslimane","doi":"10.1109/SITIS.2017.22","DOIUrl":"https://doi.org/10.1109/SITIS.2017.22","url":null,"abstract":"A configurable Business Process (cBP) is a BP that can be individualized to several BP variants corresponding to the BP instantiation needs. This paper proposes a methodology for the fragmentation of the cBPs into different independent blocks extended with the metadata of the variability options they are concerned with, expressed as logical expression. The extended fragments are structured and organized in a tree called configurable Refined Process structure tree (CRPST). The cRPST represents for the cBP what the rpst represents for the conventional BP, a technique for supporting, management, reuse, change of process model, analyzing and checking, etc.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123353155","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":"Tracking Hands in Interaction with Objects: A Review","authors":"Ammar Ahmad, C. Migniot, A. Dipanda","doi":"10.1109/SITIS.2017.66","DOIUrl":"https://doi.org/10.1109/SITIS.2017.66","url":null,"abstract":"Markerless vision-based 3D hand motion tracking is a key and popular component for interaction studies in many domains such as virtual reality and natural human-computer interfaces. While this research field has been well studied in the last decades, most approaches have considered the human hand in isolation and not in action or in interaction with the environment or the other articulated human body parts. Employing contextual information about the surrounding environment (e.g. the shape, the texture, and the posture of the object in the hand) can remarkably constrain the tracking problem. The goal of this survey is to develop an up-to-date taxonomy of existing vision-based hand tracking methods with a new classification scheme: hand-object constraints. This taxonomy allows us to examine the strengths and weaknesses of the current state of the art and to highlight future trends in the domain.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127386705","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":"Automatic Thai Coin Calculation System by Using SIFT","authors":"T. Yingthawornsuk, Narumol Chumuang, M. Ketcham","doi":"10.1109/SITIS.2017.75","DOIUrl":"https://doi.org/10.1109/SITIS.2017.75","url":null,"abstract":"In this paper it is introduced an automatic Thai coin calculation system based on image processing technique. It shown that our sytem can classify and calculate the total value of coins that is useful for the blind persons. Image processing used for detection coins in first. After that, SIFT key-points algorithm is used to classification and matching with sound. This system used four types of popular Thai coin in the experimental. We designed our experimental in the different case. In each case, there are different type coin. The least amount of coins is 5 to 40. The accuracy rate shown 99%.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125179138","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}
Narit Hnoohom, S. Mekruksavanich, A. Jitpattanakul
{"title":"Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning","authors":"Narit Hnoohom, S. Mekruksavanich, A. Jitpattanakul","doi":"10.1109/SITIS.2017.73","DOIUrl":"https://doi.org/10.1109/SITIS.2017.73","url":null,"abstract":"In recent years, the use of smartphone sensors in human activity recognition (HAR) has been well studied. Mostly, a smartphone accelerometer has played the main role to solve the problem of HAR. However, the role of a gyroscope is to be explored, both when used alone as well as in combination with an accelerometer. For this purpose, the researchers investigated the role of these two smartphone sensors in human activity recognition. Two ensemble learning based approaches, i.e., majority voting and stacking, to improve recognition performance were presented. Also, the researchers evaluated the roles of the approaches on two body positions using the two ensemble classifiers while recognizing six physical activities, i.e., standing, sitting, laying, walking, walking upstairs, and walking downstairs. From the experimental results, it was shown that in general an accelerometer and a gyroscope complement each other, thereby making the recognition performance higher. Moreover, the ensemble learning based approaches could improve the recognition performance in terms of accuracy to 91.1667 percent.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116009681","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":"Cancelable Iris Template Generation Using Modulo Operation","authors":"M. Prasad, A. Jyothi, K. Lasya","doi":"10.1109/SITIS.2017.44","DOIUrl":"https://doi.org/10.1109/SITIS.2017.44","url":null,"abstract":"Templates in conventional iris recognition systems are unprotected and highly vulnerable to numerous security and privacy issues. To overcome these issues, biometric template is morphed before storing. The morphed template is called cancelable template and it is unlinkable and non-invertible. The cancelable can be easily replaced and reissued. In this paper, we proposed a novel approach of protecting biometric template based on modulo operation. The proposed method utilizes consistent bit vector which is generated from pre-aligned IrisCodes. These IrisCodes are generated by applying 1-D Log Gabor filter on the iris images. To confirm the efficiency of proposed approach, experiments are conducted on different iris data-sets. By applying proposed cancelable technique, we achieved Equal Error Rate of 0.54% and 0.86% for CASIA-V 1.0 and CASIA-V3-Interval iris datasets respectively. This proposed method also satisfies revocability, unlinkability and irreversibilty criteria.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129570417","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":"Blood Vessel Segmentation Using Hybrid Median Filtering and Morphological Transformation","authors":"Neha Gour, P. Khanna","doi":"10.1109/SITIS.2017.34","DOIUrl":"https://doi.org/10.1109/SITIS.2017.34","url":null,"abstract":"Blood vessel segmentation in fundus images is an initial step for the identification of retina related diseases like diabetic retinopathy. The fundus images obtained from the patients show different parts of retina and abnormalities which depict disease presence. The work proposed in this paper presents an efficient vessel segmentation method using top-hat morphological transform and hybrid median filtering. The ability of the hybrid median filter to retain narrow lines and preserving corners is advantageous in the segmentation of the fine and twisted structure of blood vessels. The proposed method is tested on fundus images of publicly available databases and the performance of the proposed method is evaluated with respect to segmentation accuracy, specificity, and sensitivity and compared with other blood vessel segmentation methods in the literature.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129838835","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":"Generating Cancelable Palmprint Templates Using Local Binary Pattern and Random Projection","authors":"Maroti Deshmukh, M. K. Balwant","doi":"10.1109/SITIS.2017.43","DOIUrl":"https://doi.org/10.1109/SITIS.2017.43","url":null,"abstract":"A compromised biometric is compromised forever and the user is no more secure in other database also. This challenge can be addressed by Cancelable Biometric. A Cancelable Biometric is distorted version of a original biometric, that can be canceled and reissued like a password, and also is unique for every application. Cancelable biometric for original biometric has been seriously understudied problem. This paper presents a novel Cancelable coding scheme based on Local Binary Pattern (LBP) and Random Projection, where the biometric features are distorted in a revocable but irreversible manner by first transforming the raw biometric data into a fixed-length feature vector and then projecting it onto randomly selected subspace using set of random numbers. Three methods has been presented and experimented thoroughly. The Cancelable palmprint with Local Ternary Pattern (LTP) and two random number set outperform the other two methods. The proposed scheme has been verified under the best case and worse case scenarios (normal and stolen token scenario) on the PolyU Database.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115856722","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":"An Improving Mapping Process Based on a Clustering Algorithm for Modeling Hybrid and Dynamic Ontological User Profile","authors":"Yannick-Ulrich Samen Tchantchou, E. C. Ezin","doi":"10.1109/SITIS.2017.12","DOIUrl":"https://doi.org/10.1109/SITIS.2017.12","url":null,"abstract":"The main element of a personalization's process of information retrieval is the user. However, the effective modeling of the user profile remains a major challenge. In this paper, we propose an algorithm for mapping the web pages visited by a user during his interactions on the web with a reference ontology. Based on this mapping algorithm, we propose a dynamic and hybrid approach of the user profile, able to detect user's interests and the changes in these interests. By comparing our mapping algorithm to three other mapping approaches, we show that our algorithm has a better performance than these different algorithms. Moreover, the experimentation of our proposed multi-agent system confirms that our model can detect dynamically the user's interests and the changes in these interests","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134123506","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}