George Vlachakis, N. Karadimitriou, D. Akoumianakis
{"title":"Using a dedicated toolkit and the cloud to coordinate shared music representations","authors":"George Vlachakis, N. Karadimitriou, D. Akoumianakis","doi":"10.1109/IISA.2014.6878783","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878783","url":null,"abstract":"This paper describes the design and implementation of a toolkit for collaborative music making. The rationale for the toolkit stems from the commitment to considering music making as a representational practice that entails virtual work amongst distributed peers. Using a pictorial illustration of the toolkit, we discuss several application scenarios and highlight the innovative features of the approach. One key contribution of the toolkit is that it enables formation of online music ensembles capable of negotiating music making using computer-mediated boundary artifacts and generic cloud services.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131138442","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":"Implementing Digital Cultural Heritage Map","authors":"Spiridon Mousouris, Georgios D. Styliaras","doi":"10.1109/IISA.2014.6878757","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878757","url":null,"abstract":"Digital Cultural Heritage Map is a dynamic, webbased application that combines web-mapping, digital archives and multimedia. User-generated content can be manipulated from a back-end CMS. Application's goal is to gather spatial cultural data of a geographic area. This paper presents the designing and implementation process of the application. We present the philosophy and the guidelines that influenced the functionality and the interface of the application's website. We also describe the details and innovations that brought our application to life and made it suitable for PC and mobile. The Greek county of Aitoloakarnania is our area of interest.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128120954","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":"Reconstruction of missing features based on a low-rank assumption for robust speaker identification","authors":"Christos Tzagkarakis, A. Mouchtaris","doi":"10.1109/IISA.2014.6878778","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878778","url":null,"abstract":"Reconstruction of missing features promotes robustness in speaker recognition applications under noisy conditions. In this paper, we aim at enhancing the reliability of speech features for noise robust speaker identification under short training and testing sessions restrictions. Towards this direction, we apply a low-rank matrix recovery approach to reconstruct the unreliable spectrographic data due to noise corruption. This is performed by leveraging prior knowledge that the speech log-magnitude spectrotemporal representation is low-rank. Experiments on real speech data show that the proposed method improves the speaker identification accuracy especially for low signal-to-noise ratio (SNR) scenarios when compared with a sparse imputation approach.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"25 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132210520","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":"English, Mathematics, and Programming grades in the secondary level as predictors of academic performance in the college level","authors":"Grace Fabros-Tyler","doi":"10.1109/IISA.2014.6878739","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878739","url":null,"abstract":"This research paper determined the relationship between English, Mathematics, and Programming grades in the secondary level and academic performance in the said courses in the college level. This paper also identified the relationship between a) English and Mathematics grades in the college level and b) English and Mathematics grades and Programming grade. The study adopted the descriptive-correlational research design. Mean and Pearsonian coefficient of correlation are used to analyze the data.The findings revealed that there is a 1) strong positive correlation (r=+0.79) between the grades of the students in English in secondary and college levels; 2) moderate positive correlation (r = +0.42) between the grades of students in Mathematics in secondary and college levels; 3) moderate positive correlation (r= +0.40) between the grades of students in Programming in secondary and college levels, 4) moderate positive correlation between the grades in English 1 and Mathematics 1 (r=+0.672); 5) strong positive correlation between the grades of the students in English 1 and Programming 1 (r=+0.704), and 6) strong positive correlation between Mathematics 1 and Programming 1 (r=+0.854). Based on the findings of the study, inputs to curriculum and instruction were proposed to further improve the academic performance of the students in English 1, Mathematics 1, and Programming 1.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134356906","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":"Ultra low delay switching for networked music performance","authors":"G. Baltas, G. Xylomenos","doi":"10.1109/IISA.2014.6878798","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878798","url":null,"abstract":"Low latency is essential for videoconferencing applications such as presence and collaboration between remote participants. In modern videoconferencing systems, the Selective Forwarding Unit (SFU) has the role of transparently duplicating and forwarding media streams between participants, hence it must be able to process large volumes of incoming packets at very high rates. SFU performance is heavily affected by the network I/O mechanisms employed to move packets from the Network Interface Card (NIC) to user space, and then move the copies back to the NIC. Traditional mechanisms, such as POSIX sockets, are not designed for high performance networking and prove to be a major bottleneck in such scenarios, by increasing packet latency and undermining the SFU's scalability. In this paper, we present a novel SFU platform which was designed to handle the ultra-low latency requirements of Networked Music Performance (NMP) applications, that is, the collaboration of musicians in real time. We implement a prototype SFU based on POSIX sockets and outline its performance bottlenecks. To overcome them, we turn to the netmap framework for fast packet I/O, which provides direct but safe access to the NIC buffers. We argue that ultralow latency videoconferencing is a natural application for netmap and thus design and implement a netmap-based SFU.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117191174","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":"Data analysis for gathering and analysis of no structured and semi-structured information using data mining technique","authors":"S. Papavlasopoulos","doi":"10.1109/IISA.2014.6878725","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878725","url":null,"abstract":"In this study, a theoretical model for the combination of all individual questions from a questionnaire is investigated. For this implementation, a well-fitted Elman neural network is used in order to formulate the weighting relations between questions of the questionnaire which is produced for the project “Innovative Services to Strengthen Cooperation and Internationalization between SMEs” (I.S.C.I.) which has as objective the internationalization processes of the agro food industry of the Small and Medium-sized Enterprises (SMEs) (in Apulia Region, Italy, and in Ionian Islands, Greece). The aim of this study is the evaluation of the above questionnaire using a data mining technique in which the mental processing of an expert is linking with the Elman Neural Network. For this reason a proper questionnaire was used in order to classify the SMEs into three (3) classes according to their performance.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116238989","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":"Fuel poverty and indoor temperature clusters of low income households in Athens, Greece","authors":"J. Paravantis, M. Santamouris","doi":"10.1109/IISA.2014.6878818","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878818","url":null,"abstract":"Fuel poverty is a complex socioeconomic problem that affects low income households hit by the global economic recession. This research employed k-means clustering to group 50 low and very low income households into three clusters (Poorest, Average and Richest) based on mean indoor temperature, surface area of the dwelling, number of rooms, family size, building age and income. The Poorest Cluster contained 9 households that had an annual income of 2133 euros, had the smallest families, occupied less surface area with fewer rooms, lived in older buildings, used less central heating and had the lowest average indoor temperature. The Richest Cluster contained 20 large families that had an average annual income of 11850 euros, occupied a larger surface area, had more rooms and lived in newer buildings with more heating autonomy. Finally, 7.6% of the households of the Richest Cluster, 8.6% of the Average Cluster and 11.6% of the Poorest Cluster were fuel poor. Findings show that the lowest income households live in dire economic conditions and underscore the need to address fuel poverty via targeted measures.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115946684","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":"Human smartphone interaction: Exploring smartphone senses","authors":"Efthymios Alepis, M. Virvou, Savas Drakoulis","doi":"10.1109/IISA.2014.6878825","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878825","url":null,"abstract":"This paper explores how human interact with modern smartphone devices. This interaction is accomplished mainly through smartphone sensors, both for outcoming and incoming information. Mobile sensors have opened a new dimension in human-computer interaction which has prevailed for the last decades. Additionally, in this paper we also investigate recent software advances in using these sensors. This paper concludes in presenting a framework for capturing all the available information from smartphone sensors in order to be further processed and analyzed.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116359733","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":"Collaborative work across boundaries: Filtering, tagging and rating shared resources in interorganizational settings","authors":"P. Papadakis, D. Akoumianakis","doi":"10.1109/IISA.2014.6878781","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878781","url":null,"abstract":"The present work concentrates on collaborative virtual work and the tactics for spanning organizational boundaries. To this effect, it proposes an architectural pattern for Collective Collaborative Tagging (CCT) that integrates cloud-based resource sharing and enterprise portals. The current implementation exploits Dropbox for file sharing and the Liferay enterprise portal for managing meta-data and collective wisdom. The results illustrate the feasibility of a tactic for spanning inter-organizational boundaries to establish and sustain improved information connectivity between members of cross-functional virtual teams. They also point to capabilities of digital trace data to untangle intrinsic properties of enacted cyber-structures resulting from the users' recurrent co-engagement.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"379 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129111498","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}
E. Maravelakis, A. Konstantaras, K. Kabassi, Ioannis Chrysakis, C. Georgis, A. Axaridou
{"title":"3DSYSTEK web-based point cloud viewer","authors":"E. Maravelakis, A. Konstantaras, K. Kabassi, Ioannis Chrysakis, C. Georgis, A. Axaridou","doi":"10.1109/IISA.2014.6878726","DOIUrl":"https://doi.org/10.1109/IISA.2014.6878726","url":null,"abstract":"This paper presents the development of a new Web based LiDAR (Light Detection And Ranging) 3D point cloud viewer addressing mobility and portability issues arising from remote field applications by numerous multidisciplinary collaborative scientists. This new Web Browser-based 3D point cloud viewer, hereafter called 3DSYSTEK viewer, was developed and implemented in the framework of the3DSYSTEK research programme that aimed to develop tools to bring together all disciplines working to promote our cultural heritage through laser scanning, 3D modeling, 3D visualization, documentation, and exploitation of 3D data. 3D point cloud viewers' native implementations although they support multiple applications they are very expensive and their features vary from one software to another with considerable problems arising due to the introduction of personalized file formats by each individual native software. The presented 3DSYSTEK viewer is based on open-software, enables personalized expandability to address specific needs by individual users and allows the online remote collaboration amongst scientists at different locations as well as the widespread usage of the TLS surveying technology and 3D modeling of large monuments.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133229019","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}