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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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Using Combined Cellular Ad Hoc Communications for Smart Environments

Using Combined Cellular Ad Hoc Communications for Smart Envi...

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International Conference on Advanced information Networking and Applications Workshops (AINAW)

作者： Mimoza Durresi Arjan Durresi Leonard Barolli Kazunori Uchida Dep. of IT Mathematics and Statistics European University of Tirane Tirana Albania Dep. of Computer Science IUPUI Indianapolis USA Dep. of Information and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan

ISBN: (纸本)9781479917761

We propose a Heterogeneous Multi Domain (HMD) architecture and protocols that uses ad hoc and cellular communications for enabling the exchange of information among users and smart environments. In particular, we focuss on the data communication and information diffusion related to tourism industry. Sensor's technology enables today the collection of various data related to the environment, such as temperature, location, and so on. This information can be delivered timely to users interacting with the environment. For example, a user might get direction in a building or in a park. Our architecture uses a network of gateways as an hierarchical virtual infrastructure to interconnect various network domains. Gateways are responsible for translation among different communication protocols, including routing, signalling, and security. HMD architecture is scalable, flexible and adaptive to QoS needs for interdomain communications. The protocol goal is to optimize such communications in terms of performance.

关键词： Logic gates Protocols Ad hoc networks Routing Smart phones Delays Wireless sensor networks

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Using Cellular Sensor Networks for Environment Protection

Using Cellular Sensor Networks for Environment Protection

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International Conference on Advanced information Networking and Applications Workshops (AINAW)

ISBN: (纸本)9781479917761

Protecting the environment from many threats has become a priority worldwide. The existing sensor technology enables the continuous monitoring of various parameters related to environment status, such as air quality and many others. In this paper we propose a secure architecture based on cellular networks to collect such sensors' information in real time. The cell phones can interact with the cellular network and the sensor networks at the same time. This unique ability can be leveraged to provide better authentication and security. We propose an architecture for these networks along with protocols that can be used to establish security. In our architecture, we use gateways, as intermediate nodes that are able to interact with both the cell phones and the sensor nodes.

关键词： Cellular phones Logic gates Cryptography Authentication computer architecture Servers

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City users' classification with mobile phone data

City users' classification with mobile phone data

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IEEE International Conference on Big Data

作者： Lorenzo Gabrielli Barbara Furletti Roberto Trasarti Fosca Giannotti Dino Pedreschi Dep. of Information Engineering University of Pisa Italy ISTI - CNR Pisa Italy Dep. of Computer Science University of Pisa Italy

Nowadays mobile phone data are an actual proxy for studying the users' social life and urban dynamics. In this paper we present the Sociometer, and analytical framework aimed at classifying mobile phone users into behavioral categories by means of their call habits. The analytical process starts from spatio-temporal profiles, learns the different behaviors, and returns annotated profiles. After the description of the methodology and its evaluation, we present an application of the Sociometer for studying city users of one small and one big city, evaluating the impact of big events in these cities.

关键词： mobile phone data individual profiles classification semi-automatic methods

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The evolution of Jolie: From orchestrations to adaptable choreographies

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2015年 8950卷 506-521页

作者： Lanese, Ivan Montesi, Fabrizio Zavattaro, Gianluigi Dep. of Computer Science and Engineering INRIA FoCUS Team - Univ. Bologna Mura A. Zamboni 7 Bologna40127 France Dep. of Mathematics and Computer Science University of Southern Denmark Campusvej 55 Odense5230 Denmark

Jolie is an orchestration language conceived during Sensoria, an FP7 European project led by Martin Wirsing in the time frame 2005– 2010. Jolie was designed having in mind both the novel –at project time– concepts related to Service-Oriented Computing and the traditional approach to the modelling of concurrency typical of process calculi. The foundational work done around Jolie during Sensoria has subsequently produced many concrete results. In this paper we focus on two distinct advancements, one aiming at the development of dynamically adaptable orchestrated systems and one focusing on global choreographic specifications. These works, more recently, contributed to the realisation of a framework for programming dynamically evolvable distributed Service- Oriented applications that are correct-by-construction. © Springer International Publishing Switzerland 2015.

关键词： Distributed computer systems

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Removing Smoothing Effects for Color Image Segmentation

Removing Smoothing Effects for Color Image Segmentation

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IEEE International Conference on Systems, Man and Cybernetics

作者： Wen-Chang Cheng Hua-Hung Tseng Dep. of Computer Science and Information Engineering Chaoyang University of Technology Taiwan R.O.C.

ISBN: (纸本)9781479986989

In this study, we described the effects of image smoothing on image segmentation, introduced a method proposed by Yang et al. For removing smoothing effects (hereafter referred as Yang's method), and modified this method to solve image segmentation problems. The results showed that Yang's smoothing method still required further improvements, therefore, two solutions to solving problems related to this method were proposed. In Yang's method, the researchers only considered removing the effects of central pixels in a mask on mask calculation, neglecting the effects of edge pixels in a region of a mask on mask calculation. Therefore, we incorporated an edge mask calculation into Yang's method. Moreover, in Yang's method, distinct color masks are contained in the color components of a single pixel, which cause these components to yield differing adjustment results. Thus, the solution to this problem is to adopt a single-colored mask for color adjustments. The experimental results verified that the method proposed in this study effectively improved Yang's method and removed the effects of smoothing on image segmentation.

关键词： Image color analysis Image segmentation Image edge detection Smoothing methods Color Gray-scale Noise reduction

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Energy Models for Communication of Future Computing Platforms

Energy Models for Communication of Future Computing Platform...

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IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)

作者： Elke Franz Stefan Pfennig Bho Matthiesen Christian Scheunert Eduard A. Jorswieck Dep. of Computer Science/Privacy and Data Security Dep. of Electrical Engineering and Information Technology/Communications Laboratory Technische Universität Dresden Dresden Germany

ISBN: (纸本)9781467365567

Energy efficiency is an essential requirement on future computer architectures. Thereby, the efficiency of the communication will play an important role. Within this paper, we present an energy model for a unicast multi-hop communication. The model allows to derive predictions about the energy of a future computing platform. Further, it can be used to identify which components of the system or tasks related to communication have a significant influence on the overall energy and, hence, require special attention in the design phase. We discuss how values for processing delays and power consumption can be determined for a future computing platform and present values for a target platform. The energy model is applied to derive energy predictions for this platform.

关键词： Delays Computational modeling Power demand Network coding Open systems Hardware Receivers

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The relationship between psycho-pedagogical and usability data in the TERENCE evaluation methodology

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2014年 292卷 61-68页

作者： Cecilia, M.R. Cofini, V. di Mascio, Tania Vittorini, Pierpaolo Dep. of Life Health and Environmental Sciences Univ. of L'Aquila Italy Dep. of Information Engineering Computer Science and Mathematics Univ. of L'Aquila Italy

The TERENCE project was an European FP7 project that improved reading comprehension of its primary users, namely, 7-11 years old children, hearing and deaf 1, from primary schools, with deep text comprehension problems. The project developed an adaptive learning system (ALS) delivering learning material and tasks in an adaptive fashion, according to the profiles of its learners. The paper describes the TERENCE evaluation methodology, its innovative aspect (i.e., the parallel investigation of psycho-pedagogical effectiveness and usability), and focuses on the relationship between usability and psycho-pedagogical data. The study shows that precision in smart games is linearly related to comprehension. © Springer International Publishing Switzerland 2014.

关键词： Audition

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Confidential Network Coding: Physical Layer vs. Network Layer

Confidential Network Coding: Physical Layer vs. Network Laye...

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IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)

作者： Stefan Pfennig Elke Franz Johannes Richter Christian Scheunert Eduard A. Jorswieck Dep. of Computer Science/Privacy and Data Security Technische Universitat Dresden Dresden Germany Dep. of Electrical Engineering and Information Technology Technische Universitat Dresden Dresden Germany

ISBN: (纸本)9781467365567

In all kind of information exchange, security is essential. One protection goal that has to be enforced is confidentiality. In state-of-the-art protocols, messages are encrypted before they are transmitted to ensure their confidentiality. However, incorporating novel technologies like network coding allows for more efficient solutions. Within this article, we compare different solutions for confidential communication by means of network coding at physical layer and at network layer. We discuss security, efficiency, and computational complexity of these approaches. The results allow to draw conclusions about the choice of a suited communication scheme dep.nding on the system model and the relevant parameters.

关键词： Network coding Relays Physical layer Lattices Computational modeling Cryptography

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