{"title":"Automated web application functional size estimation based on a conceptual model","authors":"Denis Ceke, B. Milašinović","doi":"10.1109/SOFTCOM.2015.7314074","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314074","url":null,"abstract":"Project managers and developers need methods which would help them to predict the size of the software to be developed, to plan the effort and resources required for development and to estimate a number of people to be employed for the task. Determining the functional size of software is one of the methods that can meet these requirements. The paper builds on the authors' previous work on estimating effort and software size based on the conceptual models in the earlier stage of software development (the requirements phase) based on mapping between the UWE conceptual models of web applications and the COSMIC functional size. In this paper, a tool for automated functional size estimation of web applications on the basis of UWE conceptual models is presented. A case study that was carried out was based on real applications and thus evaluates this tool in a realistic environment.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115760102","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":"Effects of electromagnetic polarization in homogeneous electromagnetic-thermal dosimetry model of human brain","authors":"M. Cvetković, D. Poljak","doi":"10.1109/SOFTCOM.2015.7314086","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314086","url":null,"abstract":"The paper deals with the effects of electromagnetic (EM) wave polarization on the induced specific absorption rate (SAR) and the related temperature rise in the homogeneous human brain model. The EM dosimetry model is based on the surface integral equation (SIE) formulation, while the thermal model of the brain is based on related Pennes' heat equation for biological tissue. Higher values of peak SAR for the vertical polarization have been obtained, while SAR averaged over whole brain is similar for both polarizations.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116883382","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":"Improved physical layer for energy-efficient M2M communications over cellular networks","authors":"Ming Liu, M. Crussiére, J. Hélard","doi":"10.1109/SOFTCOM.2015.7314099","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314099","url":null,"abstract":"The existing GSM networks are promising candidates to enable the machine-to-machine (M2M) communications due to their global deployment. However, these networks are initially designed for mobile telephony, and need to be renovated to adapt to the new M2M applications. In this paper, we address the perspective of upgrading the channel coding scheme of the GSM networks for the M2M communications. Concretely, we investigate two possible solutions, namely concatenated codes (convolutional and Reed-Solomon) and Turbo codes. It is shown that the Turbo coding scheme can simultaneously improve both the service coverage and the energy efficiency performance, and is therefore suitable for the future M2M applications. Finally, it is demonstrated that the enhanced channel coding scheme leads to the reduced energy consumption, or equivalently a longer battery life, in the typical M2M scenarios.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"122 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129471472","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":"Effective management of green Cloud data centers using energy storage technologies","authors":"A. Barkat, A. Capone","doi":"10.1109/SOFTCOM.2015.7314085","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314085","url":null,"abstract":"Energy storage technologies make the green energy more available by attenuating the problem of its intermittent generation, and then reduce carbon emissions by decreasing the use of brown energies (like those from oil and natural gas). The use of batteries in data centers and Cloud infrastructures is one of the most promising applications of energy storage. In this paper, we analyze the problem of optimizing the use of green energy in geographically distributed Cloud data centers using batteries for energy storage. We propose a MILP (Mixed Integer Linear Programming) model that is able to capture the main design and management issues and to provide the optimal configuration considering service scenarios and storage capacities. The model also consider the network interconnecting the data centers and its energy consumption so as to redirect requests to different data center locations when this is convenient from the energy point of view.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126913115","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}
Daniel Vasić, Mirela Kundid, Ana Pinjuh, Ljiljana Šerić
{"title":"Predicting student's learning outcome from Learning management system logs","authors":"Daniel Vasić, Mirela Kundid, Ana Pinjuh, Ljiljana Šerić","doi":"10.1109/SOFTCOM.2015.7314114","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314114","url":null,"abstract":"Teaching is complex activity which requires professors to employ the most effective and efficient teaching strategies to enable students to make progress. Main problem in teaching professors should consider different teaching approaches and learning techniques to suit every student. Today, in computer age, electronic learning (e-learning) is widely used in practice. Development of World Wide Web, especially Web2.0 has led to revolution in education. Student interaction with Learning management systems - LMS result in creating large data sets which are interesting for research. LMS systems also provide tools for following every individual student and statistical view for deeper analyzing result of student - system interaction. However, these tools do not include artificial intelligence algorithms as a support mechanism for decision. In this article we provide framework for student modeling trained on large sets of data using Hadoop and Mahout. This kind of system would provide insight into each individual student's activity. Based on that information, professors could adjust course materials according to student interest and knowledge.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"26 653 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130473813","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":"Knowledge visualization for supporting communication in cardiovascular risk assessment hypotheses","authors":"Dan-Andrei Sitar-Tǎut, C. Săcărea, A. S. Taut","doi":"10.1109/SOFTCOM.2015.7314102","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314102","url":null,"abstract":"Cardiovascular diseases (CVD) represent a severe cause in mortality cases over the world. Early detection and foreseeing of future developments are essential goals for every cardiologist. For this reason, detecting and understanding several factors that trigger cardiovascular diseases is essential. As we have emphasized in eProcord spreadsheets (a 3-year research project that assessed the cardiovascular risk through medical and modeling methods and identified patterns for patients), Database Management Systems, statistical, and Machine-Learning soft-wares are tools which can be used in order to identify these factors through data analysis. This paper presents an approach towards concept data analysis of medical data using a mathematization of the classical notion of concept which has been implemented in the knowledge management suite ToscanaJ, grounded on the Conceptual Knowledge Processing paradigm. Starting from this premise, we propose a human centered method to investigate, represent, process and acquire knowledge from a medical database. This method offers a reasoning support for an expert centered visualization of previous collected data which facilitates a better understanding of cardiovascular risk assessment hypotheses, in order to ground a solid environment for these hypotheses. We use the visualization capabilities of Formal Concept Analysis in order to explore the knowledge encoded in these data and we give an overview on how the Conceptual Knowledge Processing methods can be used as a knowledge discovery tool for datasets related to cardiovascular diseases.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134114039","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":"Novel technique of combination TDS and FDS to increases performance of UWB MBOFDM System for NLOS channels with large delay CM3 and CM4","authors":"N. Nouri, R. Bouallègue","doi":"10.1109/SOFTCOM.2015.7314108","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314108","url":null,"abstract":"The TDS and FDS spreading is already proposed for the ECMA368 thanks to its benefits. For example, this technique provides greater flexibility in the Multiband Orthogonal Frequency Division Multiplexing (MBOFDM) system. However is not used for high flow rates. Then a new approach is needed to combine time and frequency spreading, or hear their use for broadband. In this paper, we propose a new solution, which exploit the temporal and frequency diversity TDS and FDS for broadband, to increase the MBOFDM system performance. The simulation results show that the proposed method improves the performance significantly comparing to the standard scheme. A gain of approximately 3 dB in the terms bit error rate (BER) when the data rate is 480 Mbps is achieved.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133756338","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 combined batteryless radio and WiFi indoor Positioning System","authors":"R. Kanan, Obaidallah Elhassan","doi":"10.1109/SOFTCOM.2015.7314058","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314058","url":null,"abstract":"This paper presents a design of an indoor localization system that can be used in hospital nurse calling systems. The call button of patient is batteryless and wireless. The positioning system is developed for this batteryless button. When the switch is pressed, a wireless telegram is sent to reference nodes that act like Wireless Sensor Networks (WSN). This wireless message contains the module ID and the Received Signal Strength Indicator (RSSI) value. The reference nodes or beacons forward the information gathered from target node to a central receiver attached to a computer. A program is developed to read the incoming signals to the receiver module for processing. This program calculate the distance between target node (unknown location) and each reference node (known location), and then it determines the position of the call button which held by the patient. In parallel, nurses hold smart phones, and the position is determined via WiFi-Based Positioning System (WPS). Both systems are combined and linked to the nurse calling system. Therefore, when a patient hits the batteryless button, the system will compare the patient position with nurses' positions and notify the nearest nurse. The main goal of developing such system is to decrease the time taking for the nurse to provide healthcare for patients.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116378186","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":"Antenna model for passive myelinated nerve fiber","authors":"I. Zulim, V. Doric, D. Poljak, K. Drissi","doi":"10.1109/SOFTCOM.2015.7314069","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314069","url":null,"abstract":"A myelinated nerve fiber, stimulated by a current generator at the fiber beginning, is modeled as a straight thin wire antenna. The model is based on the corresponding Pocklington integro-differential equation for the perfectly conducting wire in a lossy unbounded homogenous space. Pocklington integro-differential equation in the frequency domain is numerically solved by means of the Galerkin Bubnov Indirect Boundary Element Method (GB-IBEM). By solving the Pocklington integro-differential equation, intracellular current distribution along the myelinated nerve fiber in the passive state is obtained.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125929929","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":"Energy-efficient networks under coordinated and uncoordinated sleeping approaches","authors":"J. Manjate, M. Hidell, Peter Sjödin","doi":"10.1109/SOFTCOM.2015.7314089","DOIUrl":"https://doi.org/10.1109/SOFTCOM.2015.7314089","url":null,"abstract":"Wired IP networks handle the bulk of today's communication. These networks are built with over-provisioning and redundancy of devices to support critical activities. However, the activities can vary significantly, resulting in unused network online waste of power. In this study, we examine two existing power-saving approaches for wired IP networks: i) uncoordinated sleeping and (ii) coordinated sleeping. The uncoordinated and coordinated sleeping algorithms investigated are respectively Energy Efficient Ethernet (EEE) and Energy-Aware Routing (EAR) for green OSPF. In addition, we investigate the combination of coordinated and uncoordinated sleeping algorithms, EEE and EAR for green OSPF. The energy performance of the two algorithms and their combination is evaluated in two networks of different dimensions under varying traffic loads. The investigation shows that EEE, EAR for green OSPF and the combination significantly reduce the energy consumption of a network. However, the highest peak of energy conservation is achieved when EAR for green OSPF is activated in an EEE network during lower traffic load periods and deactivated during high traffic load periods.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129386357","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}