Vasos Hadjioannou, C. Mavromoustakis, G. Mastorakis, E. Pallis, D. Stratakis, Dimitra Valavani
{"title":"On the performance comparison of the agent-based rate adaptivity scheme for IEEE 802.11n and ZigBee","authors":"Vasos Hadjioannou, C. Mavromoustakis, G. Mastorakis, E. Pallis, D. Stratakis, Dimitra Valavani","doi":"10.1109/TEMU.2016.7551926","DOIUrl":"https://doi.org/10.1109/TEMU.2016.7551926","url":null,"abstract":"This work examines the IEEE 802.11, used in WLANs (Wireless Local Area Network), and IEEE 802.15.4, for WPANs (Wireless Personal Area Network), along with the Agent-based Rate Adaptive Scheme. The paper presents the Agent-based Rate Adaptive Scheme, which allows each channel to adaptively set the rate for serving a specific transfer. To this, end Agents are being utilized on each node in order to enable efficient monitoring of the requirements of each transfer and adjust the rate accordingly. Results were extracted by conducting simulation experimentation, and comparing the behavior and performance of a WLAN and a ZigBee network, in a short distance environment such as an office or a house, in order to determine the optimal protocol to be used in applications such as home/building automation. The experiment showed that while the 802.11 protocol performs better when it comes to delay, ZigBee has the upper hand in reliability, as more packets were successfully delivered in the WPAN, rather than the WLAN. Furthermore, this paper takes into consideration parameters such as queuing delay and transmission rate adaptivity, investigates them in a more calculative manner, and presents the findings of our evaluations.","PeriodicalId":208224,"journal":{"name":"2016 International Conference on Telecommunications and Multimedia (TEMU)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133011433","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}
Y. Nikoloudakis, S. Panagiotakis, E. Markakis, Georgia Atsali, Thrasyvoulos Manios
{"title":"Cloud composting: A centralised approach","authors":"Y. Nikoloudakis, S. Panagiotakis, E. Markakis, Georgia Atsali, Thrasyvoulos Manios","doi":"10.1109/TEMU.2016.7551941","DOIUrl":"https://doi.org/10.1109/TEMU.2016.7551941","url":null,"abstract":"Composting is a delicate procedure that requires constant attention and knowledgeable precision. With composting, all food and organic wastes can be managed separately of other wastes in a safe, environmentally friendly, easy and low cost way, producing a safe, stabilized and beneficiary for the soil and the environment product. Using composting units of large-scale, one can absorb the food and organic remainings of a residential complex. In this paper we firstly present the anatomy of such composting units. Then we propose a virtualized cloud-based management system, able to seamlessly and remotely monitor and manipulate multiple geographically distributed swarms of such composting units in a centralized manner.","PeriodicalId":208224,"journal":{"name":"2016 International Conference on Telecommunications and Multimedia (TEMU)","volume":"6 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115830993","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}
Filipe Casal Ribeiro, R. Dinis, F. Cercas, Adão Silva
{"title":"Efficient clustered detection for the uplink of cellular systems with universal frequency reuse","authors":"Filipe Casal Ribeiro, R. Dinis, F. Cercas, Adão Silva","doi":"10.1109/TEMU.2016.7551927","DOIUrl":"https://doi.org/10.1109/TEMU.2016.7551927","url":null,"abstract":"By reducing the frequency reuse one can increase substantially the spectral efficiency of cellular systems. On the other hand, complex transmission/detection schemes are required to cope with the inherently high interference. This paper deals with the uplink transmission in cellular systems with universal frequency reuse and SC-FDE (Single-Carrier with Frequency-Domain Equalization) transmission schemes. We consider the use of clustered techniques to simplify the detection procedure and to reduce the side information that must be transmitted by the backhaul network. Our performance results show that we can reduce substantially the signal processing complexity and the required side information without sacrificing the performance.","PeriodicalId":208224,"journal":{"name":"2016 International Conference on Telecommunications and Multimedia (TEMU)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117079836","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}
Z. Zaharis, T. Yioultsis, C. Skeberis, T. Xenos, P. Lazaridis, G. Mastorakis, C. Mavromoustakis
{"title":"Implementation of antenna array beamforming by using a novel neural network structure","authors":"Z. Zaharis, T. Yioultsis, C. Skeberis, T. Xenos, P. Lazaridis, G. Mastorakis, C. Mavromoustakis","doi":"10.1109/TEMU.2016.7551914","DOIUrl":"https://doi.org/10.1109/TEMU.2016.7551914","url":null,"abstract":"The present study introduces the implementation of antenna array beamforming based on a new neural network (NN) structure. The NN comprises two hidden layers, which use different interconnectivity patterns. The first one is divided in sublayers, which are equal in number to the inputs of the NN. Each sublayer communicates only with the respective input but is fully interconnected with the second hidden layer. The NN training is performed by using data sets derived by a well-known beamforming technique called minimum variance distortionless response. The trained NN is capable of serving as adaptive beamformer that makes a linear antenna array steer the main lobe towards a desired signal and place nulls towards respective interference signals in the presence of additive zero-mean Gaussian noise. The performance of the trained NN is tested by estimating the mean absolute deviation of main lobe and null directions from their respective desired directions.","PeriodicalId":208224,"journal":{"name":"2016 International Conference on Telecommunications and Multimedia (TEMU)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129451921","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}
P. Paglierani, G. Grossi, F. Pedersini, A. Petrini
{"title":"GPU-based VP8 encoding: Performance in native and virtualized environments","authors":"P. Paglierani, G. Grossi, F. Pedersini, A. Petrini","doi":"10.1109/TEMU.2016.7551915","DOIUrl":"https://doi.org/10.1109/TEMU.2016.7551915","url":null,"abstract":"A key motivation behind the success of Cloud Computing is that virtualization allows significant energy and cost savings by sharing physical resources. Another source of savings in virtualized architectures is the use of h/w accelerators (e.g. GPUs, FPGAs). This paper analyzes the performance achieved by a computationally demanding task running on a commodity server when a GPU-based accelerator is adopted. In the analysis, the VP8 video encoder has been used, with its most intensive functional block (motion estimation) implemented in the GPU. A simple but effective model to predict the achieved CPU usage savings is provided, and experimentally validated. The performance achieved with different numbers of simultaneous encoding sessions and used CPU cores is presented and discussed. The results show that the hybrid CPU-GPU implementation can provide computational time savings from 20% to 300%, without any quality degradation. The presented results have been obtained within the FP7 T-NOVA Project.","PeriodicalId":208224,"journal":{"name":"2016 International Conference on Telecommunications and Multimedia (TEMU)","volume":"62 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131260498","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":"Color based subject identification for virtual museums, the case of fish","authors":"M. Kalochristianakis, A. Malamos, K. Vassilakis","doi":"10.1109/TEMU.2016.7551906","DOIUrl":"https://doi.org/10.1109/TEMU.2016.7551906","url":null,"abstract":"The identification of fish subjects in controlled underwater environments, such as museum, falls into the category of image processing and recognition problems. An interesting aspect of such problems is that they require real time processing and thus effective processing methods must be evolved for the implementation. Although there have been a lot of approaches that solve the identification problem using specialized methods such as contour identification, recognition of distinctive characteristics, besides others, our team at the Multimedia Content lab of TEI Crete has focused on analyzing the color of still images taken from pools in order to rapidly identify subjects.","PeriodicalId":208224,"journal":{"name":"2016 International Conference on Telecommunications and Multimedia (TEMU)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127382818","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}