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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Hsien-De Huang Giovanni Acampora Vincenzo Loia Chang-Shing Lee Hung-Yu Kao National Center of High Performance Computing NARL Tainan Taiwan Department Computer Science University of Salerno Italy Department Computer Science and Information Engineering NUTN Tainan Taiwan Department Computer Science and Information Engineering NCKU Tainan Taiwan

Antimalware applications represent one of the most important research topic in the area of information security threat. Indeed, most computer network issues have malwares as their underlying cause. As a consequence, enhanced systems for analyzing the behavior of malwares are needed in order to try to predict their malicious actions and minimize eventual computer damages. However, because the environments where malwares operate are characterized by high levels of imprecision and vagueness, the conventional data analysis tools lack to deal with these computer safety applications. This work tries to bridge this gap by integrating semantic technologies and computational intelligence methods, such as the Fuzzy Ontologies and Fuzzy Markup Language (FML), in order to propose an advanced semantic decision making system that, as shown by experimental results, achieves good performances in terms of malicious programs identification.

关键词： Malware IP networks Ontologies OWL computers Fuzzy systems XML

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Energy-efficient mobile video management using smartphones

Energy-efficient mobile video management using smartphones

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2nd Annual ACM Multimedia Systems Conference, MMSys'11

作者： Hao, Jia Kim, Seon Ho Ay, Sakire Arslan Zimmermann, Roger School of Computing National University of Singapore Singapore Singapore Integrated Media Systems Center University of Southern California Los Angeles CA 90089 United States Department of Computer Science University of Southern California Los Angeles CA 90089 United States

ISBN: (纸本)9781450305181

Mobile devices are increasingly popular for the versatile capture and delivery of video content. However, the acquisition and transmission of large amounts of video data on mobile devices face fundamental challenges such as power and wireless bandwidth constraints. To support diverse mobile video applications, it is critical to overcome these challenges. We present a design framework that brings together several key ideas to enable energy-efficient mobile video management applications. First, we leverage off-the-shelf smartphones as mobile video sensors. Second, concurrently with video recordings we acquire geospatial sensor meta-data to describe the videos. Third, we immediately upload the meta-data to a server to enable low latency video search. This last step allows for very energy-efficient transmissions, as the sensor data sets are small and the bulky video data can be uploaded on demand, if and when needed. We present the design, a simulation study, and a preliminary prototype of the proposed system. Experimental results show that our approach substantially prolongs the battery life of mobile devices while only slightly increasing the search latency. Copyright 2010 ACM.

关键词： Energy efficiency

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Performance Optimization of Data Structures Using Memory Access Characterization

Performance Optimization of Data Structures Using Memory Acc...

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IEEE International Conference on Cluster computing

作者： Ashay Rane James Browne Texas Advanced Computing Center University of Texas at Austin USA Department of Computer Science University of Texas at Austin USA

Program performance optimization is generally based on measurements of execution behavior of code segments. However, an equally important task for performance optimizations is understanding memory access behaviors and thus, data structure access patterns and properties. Because memory-related problems in multi-core applications can have a significant impact on overall performance, optimizations in data access patterns will likely give a big boost to application performance. But effective diagnosis of performance bottlenecks requires that the memory measurements be related to high-level data structures (C, C++ arrays, structures, etc.). In this work, we present a low-overhead tool that captures memory traces and computes several metrics for performance characteristics of source-level data structures. Explicit consideration is given to measurement and diagnosis for multicore chips. Case studies which include (manual) use of the data structure memory access metrics to select and implement optimizations are given.

关键词： Optimization Instruments Arrays Instruction sets Measurement Memory management

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Bridging vehicle sensor networks with social networks: Applications and challenges

Bridging vehicle sensor networks with social networks: Appli...

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IET International Conference on Communication Technology and Application (ICCTA 2011)

作者： Rita Tan Sim Tse Dawei Liu Fen Hou Giovanni Pau Joint Research Center in Ubiquitous Computing Macao Polytechnic Institute Macao China Computing/Computer Studies Programme Macao Polytechnic Institute China Computer Science Department UCLA CA USA

More and more serious global warming boosters the research on environmental protection from both the industries and academia. The collection of environmental data is a basic block for the environmental protection. Due to the mobility and the release of stringent power constraints, vehicular sensor networks (VSN) provides an efficient way to collect environmental data. However, many existing work on the application of VSN in the environmental protection focuses on using the collected data to generate the environmental report. The increasing popularity of social networks motivates our interests in providing more innovative applications by integrating the VSN with social networks. In this paper, we introduce the structure of the integrated system, discuss the applications and the challenging issues.

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Enhance Top-down method with Meta-Classification for Very Large-scale Hierarchical Classification 5

Enhance Top-down method with Meta-Classification for Very La...

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5th International Joint Conference on Natural Language Processing, IJCNLP 2011

作者： Wang, Xiao-Lin Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dong Chuan Rd. Shanghai 200240 China MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dong Chuan Rd. Shanghai 200240 China

ISBN: (纸本)9789744665645

Recent large-scale hierarchical classification tasks typically have tens of thousands of classes as well as a large number of samples, for which the dominant solution is the top-down method due to computational complexity. However, the top-down method suffers from accuracy deficiency, that is, its accuracy is generally lower than that of the flat approach of 1-vs-Rest. In this paper, we employ meta-classification technique to enhance the classifying procedure of the top-down method. We analyze the proposed method on the aspect of accuracy, and then test it with two real-world large-scale data sets. Our method both maintains the efficiency of the conventional top-down method and provides competitive classification accuracies. © 2011 AFNLP

关键词： Natural language processing systems

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Experimental methodology to measure the veiling glare limit for detection tasks in high-dynamic-range displays

Experimental methodology to measure the veiling glare limit ...

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49th Annual SID Symposium, Seminar, and Exhibition 2011, Display Week 2011

作者： Choi, Mina Sharma, Diksha Zafar, Fahad Cheng, Wei-Chung Albani, Luigi Zderic, Vesna Badano, Aldo Center for Devices and Radiological Health FDA Silver Spring MD United States Department of Electrical and Computing Engineering George Washington University Washington DC United States Department of Computer Science and Engineering University of Maryland Baltimore County Baltimore MD United States BARCO Saronno Italy

ISBN: (纸本)9781618390967

We describe an experimental methodology for quantifying the effect of veiling glare in high-dynamic-range displays for simple detection tasks using a sensitivity experiment. A Gaussian spot was located on white noise image backgrounds indicated with dark hairline markers and a ring was added to the image as the veiling glare source. A double random staircase technique with one-image-at-a-time paradigm was used to estimate intensity thresholds using published methods. Observer gaze position was recorded in real-time during the experiments and used to provide auditory feedback to ensure fixation on the region where the signal might be present and minimize significant changes in adaptation that would affect the thresholds.

关键词： White noise

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31.3: Experimental methodology to measure the veiling glare limit for detection tasks in high-dynamic-range displays

31.3: Experimental methodology to measure the veiling glare ...

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We describe an experimental methodology for quantifying the effect of veiling glare in high-dynamic-range displays for simple detection tasks using a sensitivity experiment. A Gaussian spot was located on white noise image back- grounds indicated with dark hairline markers and a ring was added to the image as the veiling glare source. A dou- ble random staircase technique with one-image-at-a-time paradigm was used to estimate intensity thresholds using published methods. Observer gaze position was recorded in real-time during the experiments and used to provide auditory feedback to ensure fixation on the region where the signal might be present and minimize significant changes in adaptation that would affect the thresholds. © 2011 SID.

关键词： White noise

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A Framework for the Assessment of the Trustworthiness of Digital Records over Time

A Framework for the Assessment of the Trustworthiness of Dig...

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Jianqiang Ma Habtamu Abie Torbjorn Skramstad Mads Nygard Department of Computer and Information Science Norwegian University of Science and Technology Trondheim Norway Norwegian Computing Center Oslo Norway Statoil Stavanger Norway

Digital documents are prone to be compromised, especially the archival records which are intended to be stored for a very long period (say 30+ years). Many modern security mechanisms, such as cryptography, are poorly suited to protect these archival records because it is often difficult to maintain decryption keys and update cryptographic systems over decades. An adversary that wants to tamper these archival records may only need to wait until the encryption algorithm used is compromised. In addition, the preservation of encrypted documents is not generally accepted in the international archival community. Thus, in this paper, we propose a framework for the assessment of the trustworthiness of digital records. The framework looks into evidence around digital records. On the assessment of the trustworthiness of a record, it structures the preserved evidence into an evidence tree and assigns evidential values to every pieces of evidence using experts' knowledge or a reputation system. Finally, using the Dempster-Shafer (D-S) theory, the framework combines these evidential values from different evidence in the face of uncertainty, and arrive at the trustworthiness of digital records.

关键词： Communities Cryptography Availability Face Pragmatics

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Partial product generation utilizing the sum of operands for reduced area parallel multipliers

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IPSJ Transactions on System LSI Design Methodology 2011年 4卷 131-139页

作者： Kawashima, Hirotaka Takagi, Naofumi Center for Embedded Computing Systems School of Information Science Nagoya University Japan Department of Communications and Computer Engineering School of Informatics Kyoto University Japan

We propose a novel method to generate partial products for reduced area parallel multipliers. Our method reduces the total number of partial product bits of parallel multiplication by about half. We call partial products generated by our method Compound Partial Products (CPPs). Each CPP has four candidate values: zero, a part of the multiplicand, a part of the multiplier and a part of the sum of the operands. Our method selects one from the four candidates according to a pair of a multiplicand bit and a multiplier bit. Multipliers employing the CPPs are approximately 30% smaller than array multipliers without radix-4 Booth's method, and approximately up to 10% smaller than array multipliers with radix-4 Booth's method. We also propose an acceleration method of the multipliers using CPPs. © 2011 Information Processing Society of Japan.

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An Empirical Comparative Study on Two Large-Scale Hierarchical Text Classification Approaches

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International Journal of computer Processing of Languages 2011年第4期23卷 309-325页

作者： JIAN ZHANG HAI ZHAO LIQING ZHANG BAO-LIANG LU Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai 200240 China MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiaotong University 800 Dongchuan Rd. Shanghai 200240 China Department of Computer Science Virginia Tech Blacksburg VA 24061 USA

Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies, have been fully made in the text categorization field, few work was done for a LSHTC task due to high computational cost and complicated structural label characteristics. For the first time, this paper compares two popular learning frameworks, namely, hierarchical support vector machine (SVM) and k -nearest neighbor ( k -NN) that are applied to a LSHTC task. Our experimental results show that the latter outperforms the former for the LSHTC task, which is quite different from the existing results for normal text categorization tasks. In addition, this paper compares different similarity measures and ranking strategies in k -NN framework for LSHTC task. From our empirical study, conclusions can be drawn that k -NN is more appropriate for the LSHTC task than hierarchical SVM. BM25 outperforms other similarity measures and ListWeak gains a better performance than other ranking strategies. Our empirical results also indicate that using all the labels of the retrieved neighbors can remarkably improve classification performance over only using the first label of the retrieved neighbors.

关键词： Large-scale text classification hierarchical text classification text classification k -NN hierarchical SVM similarity measure ranking strategies

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