{"title":"A Joint Adaptive Approach for On-Demand Scalable Video Streaming over CR Networks","authors":"Ala Eldin Omer, Mohamed S. Hassan, M. El-Tarhuni","doi":"10.1109/EMS.2016.040","DOIUrl":"https://doi.org/10.1109/EMS.2016.040","url":null,"abstract":"In this paper, an adaptive integrated framework is devised to provide continuous video service from a base station to multiple secondary users over a cognitive radio network. A channel allocation algorithm is introduced to adaptively assign the available channels to the secondary users while taking into considerations their buffer occupancies as well as the maximum available bit budget and the deadlines of the video frames. The proposed scheme aims at improving the video quality by increasing the number of received enhancement layers for each transmitted video frame. This is done by jointly adapting the modulation levels and channel coding while benefiting from frames retransmissions, when possible, to guarantee their successful reception when they can still meet their deadlines. The simulation results show that the proposed scheme reacts to the variations in channel conditions as well the dynamics of the playback buffers at the secondary users’ end by representing the transmitted video information at the highest possible bit rates while exploiting the scalability feature of the encoded video frames. This is reflected in the improved perceptual quality as received by the secondary users with uninterrupted playback.","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123421947","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}
Yasser M. Seddiq, A. Meftah, Mansour Al-Ghamdi, Y. Alotaibi
{"title":"Reintroducing KAPD as a Dataset for Machine Learning and Data Mining Applications","authors":"Yasser M. Seddiq, A. Meftah, Mansour Al-Ghamdi, Y. Alotaibi","doi":"10.1109/EMS.2016.022","DOIUrl":"https://doi.org/10.1109/EMS.2016.022","url":null,"abstract":"KACST Arabic Phonetic Database (KAPD) has been in use by researchers for around fifteen years since its initial release. Researches in acoustics and phonetics have benefited from its phonetically rich content. In fact, KAPD has the potential to go further steps with the research community. In this work, KAPD is subject to enhancements and improvements in order to serve as dataset for machine learning and data mining application. This work involves refining and reviewing the already existing metadata of KAPD and adding new material that are necessary for machine learning and data mining applications. The updated phoneme statistics after the corpus upgrade are presented from different perspectives. Data format and time units are made compatible with those of HTK. The paper discusses the potential of KAPD to serve as either a balanced or an imbalanced dataset.","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"2675 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115258119","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":"Status of MOOCs in Pakistan: Optimism and Concerns","authors":"S. Iqbal, M. Naeem, Ayisha Nayyar","doi":"10.1109/EMS.2016.048","DOIUrl":"https://doi.org/10.1109/EMS.2016.048","url":null,"abstract":"Massive Open Online Courses (MOOCs) are in limelight these days. The advent of MOOCs is bringing about a revolution in teaching and learning methods. Using current online courses, anyone from anywhere in the world can learn anything even from Nobel laureates. Regardless of their advantages, small number of people from developing countries like Pakistan access MOOCs. In Pakistan, constraints like low literacy rate and lack of infrastructure hinder growth of online education. This paper presents endeavors for implementing online courses in Pakistan. Our survey results also highlight the potential of MOOCs in Pakistan and discuss major problems of higher education.","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122693066","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":"Optimal Coordination for Electric Vehicles in Smart Grids with High Penetration of PV Generation","authors":"M. Shaaban, A. Osman, Mohamed S. Hassan","doi":"10.1109/EMS.2016.032","DOIUrl":"https://doi.org/10.1109/EMS.2016.032","url":null,"abstract":"In this paper, we propose a real-time coordinated architecture that efficiently improves the charging performance of Electric Vehicles (EV) under high penetration of photo-voltaic (PV) roof-mounted panels. EV coordinated charging relies on the remarkable development of communication infrastructure in smart grids which enables vehicle-grid communication via proper communication pathways. The proposed architecture is composed of two units, an aggregator unit in addition to an optimization unit. While, the aggregator unit provides data collection and initial processing, the optimization unit optimally coordinates the charging decisions to guarantee service reliability while, minimizing the operating costs, and satisfying the system and customers constraints. Sliding horizon concept is utilized to manage real-time data and to allow plug-and-play option for EV owners. The simulation results do not only demonstrate the robust performance of the proposed approach in tackling the dynamics of different parking lots in a timely manner but demonstrate the effectiveness of which in mitigating the impact of high penetration of EV and PV panels through optimal coordination of the EV as small energy storage units.","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"139 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758919","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":"Kernel-Based Fuzzy Local Binary Pattern for Gait Recognition","authors":"A. G. Binsaadoon, El-Sayed M. El-Alfy","doi":"10.1109/EMS.2016.016","DOIUrl":"https://doi.org/10.1109/EMS.2016.016","url":null,"abstract":"Gait recognition has received increasing attention in biometrics. However, more effort is needed to enhance the performance. In this paper, we investigate a novel descriptor for gait recognition known as Kernel-based Fuzzy Local Binary Pattern (KFLBP). The spatio-temporal static and dynamic characteristics of a gait sequence is first summarized using a Gait-Energy Image (GEI). Then, the proposed approach combines multiple FLBP with different radii to better handle uncertainty in GEI and improve the recognition performance. We evaluate the proposed method on CASIA B dataset at different view angles. We also compare the performance with other feature extraction methods and explore the impact of different walking covariates on the performance.","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130548257","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":"General-System Modelling Framework of Complex Activity","authors":"M. Belov","doi":"10.1109/EMS.2016.013","DOIUrl":"https://doi.org/10.1109/EMS.2016.013","url":null,"abstract":"The paper suggests a universal modelling framework of complex activity (CA). The framework composes: · the models of structural elements that represent the constituent elements of the activity; · the structural models of CA that represent the connections and interaction of the elements; · the behavioral models of CA that represent the behavior of the whole aggregate of elements in their interconnections. The paper demonstrates that the domain-specific aspects of CA are accumulated at the level of elementary operations, which are the terminal nodes of the logical hierarchy of CA, while the rest of the complementary superstructure of CA has purely system-wide nature.","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121614591","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":"Density Based Dominant Sets Growing and Clustering","authors":"Jian Hou, E. Xu, Hongxia Cui","doi":"10.1109/EMS.2016.020","DOIUrl":"https://doi.org/10.1109/EMS.2016.020","url":null,"abstract":"Data clustering is an important technique in data mining and pattern recognition. In practical tasks the clusters can be of arbitrary shapes. However, many existing algorithms tend to generate only spherical clusters. While density based clustering algorithms are able to deal with arbitrary clusters, they usually involve multiple user-specified parameters. In this paper we propose to solve this problem by making use of the nice properties of dominant set algorithm. Specifically, we use the dominant sets algorithm with histogram equalization transformation to generate initial clusters. These initial clusters are usually subsets of real clusters. Then we expand the initial clusters to final ones with density information captured in the initial clusters. We experiment with clusters of various types and compare with other clustering algorithms to demonstrate the effectiveness of the proposed algorithm","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115328975","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}
M. Naldi, G. Nicosia, A. Pacifici, U. Pferschy, Bernhard Leder
{"title":"A Simulation study of Fairness-Profit Trade-off in Project Selection based on HHI and Knapsack Models","authors":"M. Naldi, G. Nicosia, A. Pacifici, U. Pferschy, Bernhard Leder","doi":"10.1109/EMS.2016.025","DOIUrl":"https://doi.org/10.1109/EMS.2016.025","url":null,"abstract":"Each company continually has to choose the projects in which to invest, among the numerous proposals submitted by company departments. Just a few projects among those put forward for funding can be actually accepted, due to the unavoidable discrepancy between available money and required investments. Though overall profit maximization could appear as the natural allocation goal, it is to be considered that such an allocation may eventually produce a rather unbalanced distribution of the overall budget, where some departments get most of it and others get a very small slice or no money at all. In this paper, we examine how the search for fairness in budget allocation impacts the overall profit, to assess whether a greater degree of satisfaction among departments can be achieved while pursuing profit maximization at the same time. We adopt a constrained knapsack model and the Herfindahl-Hirschman Index (HHI) as a measure of fairness, and perform a MonteCarlo simulation to measure the extent of profit sacrifice in the quest for fairness. We find that just a small sacrifice in profit is often needed to achieve a balanced distribution of the overall budget.","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128090311","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":"View-dependent Virtual and Augmented Reality for Machine Tools","authors":"P. Sommer, A. Verl","doi":"10.1109/EMS.2016.035","DOIUrl":"https://doi.org/10.1109/EMS.2016.035","url":null,"abstract":"In recent papers, the concept of an intelligent window for machine tools (iWindow) using virtual and augmented reality in order to replace traditional windows in machine tools was introduced. Such intelligent windows provide additional possibilities for observing the machine interior under difficult visibility conditions, combine and reduce the number of supporting systems and enrich the machine interior with contextual information. For creating a view-dependent virtual and augmented reality individual solution approaches presented in other research were combined, extended and applied to machine tools to form an intelligent window. For the impression of a real window and perspectively correctly overlay virtual objects, the operator’s head position is tracked and the perspective projection matrix is calculated continuously. The necessary equations are presented. In an experimental setup, view-dependent rendering for virtual reality on opaque displays as well as augmented reality on transparent displays were validated. The rendering is performing well and an accurate overlay of virtual and real machine interior can be created. However, several difficulties regarding illumination, transparency and human stereo vision did occur. Possible improvements and solutions are suggested.","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134244483","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":"Day-ahead Optimal Scheduling for Demand Side Management in Smart Grids","authors":"M. Shaaban, A. Osman, Mohamed S. Hassan","doi":"10.1109/EMS.2016.031","DOIUrl":"https://doi.org/10.1109/EMS.2016.031","url":null,"abstract":"This paper proposes a new method for day-ahead energy scheduling in smart grids. The proposed energy scheduling method optimizes the operation of several elements such as battery storage, shiftable loads, and adjustable loads. The aim of the scheduling problem is to minimize the overall operating cost for the day ahead. The cost minimization is realized by shifting the load requirements to optimal time periods and controlling the charging/discharging of battery storage systems during optimal time periods. The scheduling problem is formulated as a mixed-integer nonlinear programming. Computer simulations are performed on a typical distribution system. The results show that the proposed day-ahead scheduling scheme can significantly reduce the overall system operating costs via demand side management under the smart grid paradigm.","PeriodicalId":446936,"journal":{"name":"2016 European Modelling Symposium (EMS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124846263","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}