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NETWORKS International Telecommunications Network Strategy and Planning Symposium

作者： Katty Rohoden Rebeca Estrada Hadi Otrok Zbigniew Dziong Computer Science and Electronic Department UTPL Loja Ecuador Electrical Engineering Dep. Université du Québec Ecole de Technologie Supérieure Montréal QC Canada Electrical Engineering and Computer Science Faculty Escuela Superior Politécnica del Litoral ESPOL Guayaquil Ecuador

ISBN: (纸本)9781467389921

In this paper, we tackle the problem of resource management in macro-femtocell networks. Dense dep.oyment of femtocells imposes several challenges for a cluster-based resource allocation. Some of those challenges are the trade-off between the level of offloaded traffic from macrocell and bandwidth allocated to femto-tier, the fair distribution of resources, and the mitigation of inter-cluster interference. To overcome these limitations, we propose a coalitional game to form clusters of femtocells that can reduce the resource allocation complexity. Stable clusters are formed based on the core model. Our proposal mainly consists of three components. Namely, a femtocell selection for public users, a coalitional game where cooperative femtocells are rewarded, and a Weighted Water Filling algorithm to allocate resources. Our solution is performed under a rewarding model, which is based on an ideal spectral efficiency and on an effective spectral efficiency. We compare the results of our rewarding model with a non-cooperative model, where femtocells work in closed access mode. Simulation results demonstrate that our proposal improves the femto-tier throughput and the satisfaction of femtocells subscribers.

关键词： Resource management Games Ultrafast electronics Macrocell networks Bandwidth Interference Clustering algorithms

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Stability analysis and sliding mode control of a single spherical bubble dynamics

Stability analysis and sliding mode control of a single sphe...

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American Control Conference

作者： Mahmoud Najafi Masoumeh Azadegan Mohammad Taghi Beheshti Mathematical science Kent State University OH USA Systems Life Sciences and Control Engineering (Sylicon) Lab. Tarbiat Modares University Tehran Iran Dep. of ECE. Tarbiat Modares University (TMU) Tehran Iran

ISBN: (纸本)9781467386838

The goal of the present paper is to apply control techniques to determine the Blake cavitation threshold for adiabatic bubbles. Considering state space representation of Rayleigh-Plesset (RP) equation, a stability condition is derived to predict the threshold for cavitation which was determined beforehand by mechanical bias. Moreover, sliding mode control has been utilized to regulate the radius of a single spherical bubble to the desired value to prevent collapse occurrence which has a great importance in some industrial applications. Simulation results are presented to show the effectiveness of the proposed method.

关键词： Stability analysis Mathematical model Thermal stability Analytical models Sliding mode control Liquids Numerical stability Variable structure systems Stability analysis Numerical stability ANALYSIS MODELS liquids Mathematical Model thermal stability bubbles State-space Representation CAVITATION

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Large Scale Assessment of Ka/Q Band Atmospheric Channel Across Europe with ALPHASAT TDP5: The Augmented Network

Large Scale Assessment of Ka/Q Band Atmospheric Channel Acro...

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European Conference on Antennas and Propagation

作者： S. Ventouras R. Reeves E. Rumi F. Perez-Fontan F. Machado V. Pastoriza A. Rocha S. Mota F. Jorge A.D. Panagopoulos A.Z. Papafragkakis C.I. Kourogiorgas O. Fiser V. Pek P. Pesice M. Grabner A. Vilhar A. Kelmendi A. Hrovat D. Vanhoenacker-Janvier A. Graziani L. Quibus G. Goussetis STFC Rutherford Appleton Laboratory RAL Space Oxford UK spiros Escola de Enxe?aría de Telecomunicación University of Vigo Vigo Spain Instituto de Telecomunica??es/Dep. Elect. Telec. e Informática IT/DETI Aveiro Portugal School of Electrical and Computer Engineering National Technical University of Athens Athens Greece Institute of Atmospheric Physics ASCR Meteorological Dept. IAP Prague Czech Republic Czech Metrology Institute TESTCOM CMI Prague Czech Republic Department of Communication Systems Jozef Stefan Institute Ljubljana Slovenia ICTEAM Université catholique de Louvain Louvain-la-Neuve Belgium School of Engineering and Physical Sciences Heriot-Watt University Edinburg UK

ISBN: (纸本)9781509037421

The upcoming migration of satellite services to higher bands, namely the Ka- and Q-bands offers many advantages in terms of bandwidth, data rates and system capacity. However, it poses challenges as propagation effects introduced by the various atmospheric phenomena are particularly pronounced in these bands and can become a serious constraint in terms of system reliability and performance. This paper outlines the goals, organization and some first results of an ongoing large propagation campaign consortium formed across Europe under the supervision of the European Space Agency;the campaign, shall ultimately assist in the validation and development of channel models targeting these-bands. Finally, the consideration of diverse climatic conditions and elevation angles along with the evaluation of the frequency and spatio-temporal effects, shall support the development of Fading and Mitigation Techniques and their assessment using real data.

关键词： Europe Atmospheric measurements Satellites Atmospheric modeling Satellite broadcasting Antennas Q measurement

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TPR∗-tree Performance improvement for big tactical moving objects

TPR∗-tree Performance improvement for big tactical moving o...

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IEEE International Conference on Big Data

作者： Seungwoo Jeon Jaegi Hong Bonghee Hong Chumsu Kim BK21PLUS Creative Human Pusan National University Busan South Korea Dep. of Electrical and Computer Engineering Pusan National University Busan South Korea Naval Combat Systems Department Agency for Defense Development Jinhae South Korea

ISBN: (纸本)9781467390064

Because the number of tactical moving object is tens of thousands and the location information of them should be updated in real time while moving, it must be able to manage a large amount of the target data and management of the future target is also required through the predicted query. We have proposed to manage the tactical moving objects using TPR*-tree in our previous paper. There are various types of moving objects from fighter to navy vessel in the tactical system, the overlapped area between a MBR with the fighters and another MBR with vessel is much bigger. When inserting new target, this leads to degrades performance that all MBRs with overlapped area should be retrieved. For preventing increases in the overlapped area, we suggest a method to improve TPR*-tree performance with selective data distinction, especially fast data in this paper.

关键词： Big data Conferences

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Toward an Access Control Model for IOTCollab

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Procedia computer science 2015年 52卷 428-435页

作者： Mehdi Adda Jabril Abdelaziz Hamid Mcheick Rabeb Saad Mathematics Computer Science and Engineering Dep. University of Quebec at Rimouski Rimouski (Qc) Canada Mathematics and Computer Science Dep. University of Quebec at Chicoutimi Chicoutimi (Qc) Canada

The increase in Internet-connected physical devices offers new possibilities and opportunities. This Internet of Things (IoT) fosters the development of new platforms, services and applications that connect the physical world (represented by physical objects) to the virtual world (represented by the Internet). The work presented here proposes a study of role and attribute-based access control models that tackle the security concerns of our already developed data sharing framework. The framework introduced a formal theoretical model, the IOTCollab domain specific language, and an integrated development environment that implements this model. We have extended this framework by completing the formal theoretical model with access control capabilities.

关键词： IOTCollab Internet of Things Security Access Control

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Extensions to the UML profile for MARTE for distributed embedded systems

Extensions to the UML profile for MARTE for distributed embe...

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Forum on Specification, Verification and Design Languages, FDL

作者： Emad Ebeid Julio Medina Davide Quaglia Franco Fummi Dep. of Engineering Aarhus University Denmark Dep. of Computer Science and Electronics University of Cantabria Spain Dep. of Computer Science University of Verona Italy

The design of distributed embedded systems is a challenging task that requires raising the level of abstraction to handle the different involved concerns. In particular, standard modeling languages and precise semantics specification are necessary to address the networking-related aspects at a high level of abstraction. The Unified Modeling Language (UML) and its MARTE profile are valid formalisms to model real-time embedded systems but they lack precise modeling elements when addressing applications and platforms forming distributed embedded systems. In this work, we formalize a coherent set of modeling elements for the design and dep.oyment of distributed embedded systems. A novel UML profile for networking is proposed as a semantic and syntactic extension to the UML Profile for MARTE: The Network Profile.

关键词： Unified modeling language Computational modeling Embedded systems Automata Delays Quality of service Mathematical model

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The tradeoff of accuracy with different landmarks with manifold learning

The tradeoff of accuracy with different landmarks with manif...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Zezhong Zheng Chengjun Pu Mingcang Zhu Zhiqin Huang Yong He Yicong Feng Yufeng Lu Zhenlu Yu Shengli Wang Shijie Yu Jiang Li Ministry of Land and Resources of the China Chengdu Univ. of Technology Chengdu Sichuan PRC State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan Univ. Wuhan Hubei PRC School of Resources and Environment Univ. of Electronic Science and Technology of China Chengdu Sichuan PRC Guangxi Key Laboratory for Spatial Information and Geomatics Guilin Guangxi PRC Land and Resources Dep. of Sichuan Province Chengdu Sichuan PRC Land and Resource Dep. of Sichuan Province Information Center Chengdu Sichuan PRC Sichuan Institute of Geo-Environment Monitoring Chengdu Sichuan PRC Dep. of Electrical and Computer Engineering Old Dominion Univ. Norfolk VA USA

ISBN: (纸本)9781509033331

High-dimensional data such as hyperspectral images contain abundant information of surface radiation. But the massive redundant information makes it complex to be utilized conveniently. To solve this problem, a manifold learning dimensionality reduction framework for hyperspectral image is proposed. Firstly, statistical sampling methods were used to sample a subset of data points as landmarks. A skeleton of the manifold was then identified basing on the landmarks. The remaining data points were then inserted into the skeleton by Locally Linear Embedding algorithm. At last, original data sets and data sets reduced with different manifold learning approaches were classified by KNN classifier to evaluate the performance of the proposed framework. The framework was tested on AVIRIS Salinas-A dataset. The experimental results showed that the tradeoff of accuracy with different landmarks is of great significant. Insufficient landmarks lead to low accuracy and excess landmarks may spend a considerable amount of time.

关键词： Manifolds Hyperspectral imaging Skeleton Algorithm design and analysis Training

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The manifold learning for dimensionality reduction with hyperspectral image

The manifold learning for dimensionality reduction with hype...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Zezhong Zheng Pengxu Chen Mingcang Zhu Zhiqin Huang Yong He Yicong Feng Yufeng Lu Zhenlu Yu Shijie Yu Shengli Wang Jiang Li Ministry of Land and Resources of the China Chengdu Univ. of Technology Chengdu Sichuan PRC State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan Univ. Wuhan Hubei PRC School of Resources and Environment Univ. of Electronic Science and Technology of China Chengdu Sichuan PRC Guangxi Key Laboratory for Spatial Information and Geomatics Guilin Guangxi PRC Land and Resources Dep. of Sichuan Province Chengdu Sichuan PRC Land and Resource Dep. of Sichuan Province Information Center Chengdu Sichuan PRC Sichuan Institute of Geo-Environment Monitoring Chengdu Sichuan PRC Sichuan Institute of Geo-Environment Monitoring Chengdu China 610081 Dep. of Electrical and Computer Engineering Old Dominion Univ. Norfolk VA USA

Hyperspectral remote sensing image (HSI) consists of hundreds of bands that contain rich space, radiation and spectral information. The high-dimensional data can also lead to the curse of dimensionality problem making it difficult to be used effectively. In this paper, we proposed a manifold learning algorithm to reduce the dimensionality for HSI data. For high dimensional datasets with continuous variables, it is often the case that the data points are arranged along with low dimensional structures, named manifolds, in the high dimensional space. Manifold learning aims to identifying those special low dimensional structures for subsequent usage such as classification or regression. However, many manifold learning algorithms perform an eigenvector analysis on a data similarity matrix whose size is N×N, where N is the number of data points. The memory complexity of the analysis is at least O(N 2 ) that is not feasible for a regular computer to compute or storage for very large datasets. To solve this problem, we used statistical sampling methods to sample a subset of data points as landmarks. A skeleton of the manifold was then identified based on the landmarks. The remaining data points were then inserted into the skeleton by Locally Linear Embedding (LLE). We tested our algorithm on AVIRIS Salinas-A data set. The experimental results showed that the HSI dataset could be reduced to a lower-dimensional space for land use classification with good performance, and the main structure was preserved well.

关键词： Manifolds Hyperspectral imaging Skeleton Principal component analysis Classification algorithms Feature extraction

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CRC: Collaborative research and teaching testbed for wireless communications and networks 10

CRC: Collaborative research and teaching testbed for wireles...

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10th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation, and Characterization, WiNTECH 2016

作者： Hanna, Samer S. Guirguis, Arsany Mahdi, Mahmoud A. El-Nakieb, Yaser A. Eldin, Mahmoud Alaa Saber, Dina M. Youssef, Moustafa Elnainay, Mustafa Y. El-Sherif, Amr A. Seddik, Karim G. Eng. Math. and Phys. Dept. Alexandria University Egypt Computer and Systems Eng. Dept. Alexandria University Alexandria Egypt Zagazig University Egypt ECE Virginia Tech. MENA United States Alexandria University Egypt Comp. and Comm. Eng. Dep. Alexandria University Egypt Wireless Research Center Egypt-Japan Uni. of Sci. and Tech. Egypt Nile University Giza Egypt Department of Electrical Engineering Alexandria University Alexandria Egypt Electronics and Communication Engineering Department American University in Cairo Egypt

ISBN: (纸本)9781450342520

The validation of wireless communications research, whether it is focused on PHY, MAC or higher layers, can be done in several ways, each with its limitations. Simulations tend to be simplified. Equipping wireless labs requires funding and time. Remotely accessible testbeds present a good option to validate research. The existing testbeds have gone a long way in building the infrastructure for managing and operating themselves. Yet, there is still space to improve the administration of resources whether it is nodes, frequency spectrum or storage space. In this work, we present the Collaborative Radio Cloud (CRC), a wireless testbed that enables web/remote access to facilitate research experiments in the field of wireless communications and networks. CRC is built upon the contributions made by current testbeds and incorporates new features to improve the user experience and ameliorate the management of resources. It enables multiple simultaneous users to coexist in the testbed by enforcing an elaborate node isolation policy. Software dedicated to the enforcement of spectrum assignment was developed to further ensure the isolation between concurrent users. A tool that is capable of realizing a desired topology using gain control was developed. CRC also operates a scheduler that optimizes node assignment to maximize testbed utilization. Enhancements to disk image saving are being developed to reduce the required storage. Other than research, CRC targets contributing to the education of wireless communications and networks by providing experiments and a web interface dedicated to students and instructors. © 2016 ACM.

关键词： Testbeds

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A sound framework for dynamic prevention of Local File Inclusion

A sound framework for dynamic prevention of Local File Inclu...

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Conference on Information and Knowledge Technology

作者： Mir Saman Tajbakhsh Jamshid Bagherzadeh Dep. of Electrical Engineering and Computer Science Urmia University Urmia Iran

Web applications take an important role in remote access over the Internet. These applications have many capabilities such as database access, file read/write, calculations as well as desktop applications but run in web browsers environments. As desktop applications, web applications can be exploited but with different techniques. One of the major known vulnerabilities of the web applications is Local File Inclusion. Inclusion in web applications is similar to library imports in desktop applications where a developer can include former developed codes. If an attacker includes his/her libraries, he/she can run his/her malicious code. Current research makes a brief survey of static and dynamic code analysis and suggests a framework for dynamically preventing malicious file inclusions by attackers. It is discussed that this framework prevents local file inclusions even if the developer has exploitable source code. The language PHP is used for describing the vulnerability and prevention framework.

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