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Floor plan construction via anonymous Wi-Fi signal fragment matching

ICIC Express Letters, Part B: Applications 2014年第4期5卷 981-987页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Tang, Xiaomou Wang, Zhuoran Chongqing Key Lab of Mobile Communications Technology School of Communication and Information Engineering Chongqing University of Posts and Telecommunications No. 2 Chongwen Road Nan'an Dist. Chongqing 400065 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Graduate Telecommunications and Networking Program University of Pittsburgh PA 15260 United States

Floor plan construction is the basis for fingerprint-based localization and people's activity learning, especially in the environments where the geometrical map is not available or does not exist. To this end, we propose a new received signal strength (RSS) fragment matching approach to identify the location points (LPs) in floor plan as the overlapped pieces between the fragments. Then, by means of the Smith-Waterman alignment, each LP can be recognized as a winning path in scoring space. Finally, we use the Allen's interval algebra to assemble the time-stamped LPs into a floor plan in target area. The experiments with the actual Wi-Fi RSS measurements recorded in HKUST campus demonstrate that our proposed approach performs better than the conventional K-means clustering and spectral clustering in floor plan construction. © 2014 ICIC International.

关键词： Algebra

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Design and numerical analysis of surface plasmon-enhanced fin Ge-Si light-emitting diode

Design and numerical analysis of surface plasmon-enhanced fi...

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作者： Jeong, Intae Kwon, Jooseong Kim, Changsoon Park, Young June Program in Nano Science and Technology Graduate School of Convergence Science and Technology Seoul National University Seoul 151-742 Korea Republic of Department of Electrical and Computer Engineering School of Engineering Seoul National University Seoul 151-747 Korea Republic of Advanced Institutes of Convergence Technology Suwon Gyeonggi 443-270 Korea Republic of

Heavily-doped strained germanium (Ge) can emit light efficiently thanks to its pseudo direct band gap characteristic. This makes Ge a good candidate for on-chip monolithic light sources in silicon (Si) photonics systems. We propose fin-shaped Ge-Si heterojunction lightemitting diode (LED) with metal gates, which can enhance light emission by coupling with surface plasmon resonant modes and modulate light emission from the LED. We verify these two aspects through numerical analysis and device simulations. We develop the method to find the optimal device structure and specific device dimensions to maximize the spontaneous emission rate enhancement. Also we find that the LED can be modulated by a gate voltage bias. © 2014 Optical Society of America.

关键词： Surface plasmons

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A multi-layer architecture proposal for conducting trains employing CBR

A multi-layer architecture proposal for conducting trains em...

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International Conference on computer Supported Cooperative Work in Design

作者： André Pinz Borges Osmar Betazzi Dordal Denise Maria Vecino Sato Bráulio Coelho Ávila Fabrício Enembreck Edson Emílio Scalabrin Richardson Ribeiro Graduate Program in Computer Science Pontificia Universidade Católica do Paraná Curitiba Brazil Graduate Program in Computer Science Pontifícia Universidade Católica do Paraná Curitiba Brazil Department of Informatics (DAINF) Federal University of Technology Paraná Pato Branco Brazil

This paper presents a planning approach using Case-Based Reasoning (CBR) modeled as a Subsumption Architecture to generate plans for driving trains. The main idea of a planning strategy is to generate a sequence of actions for an agent, which can use these actions to change its environment. CBR allows using prior experiences for new task assignments. In the proposed ap-proach, each previous experience (if not applicable) is adjusted us-ing one or more adaptation methods like substitutive and genetic algorithm. Our interest is to create a flexible architecture for an agent and apply it to simulate train conductions. We expect that the plans generated by this approach generate better results com-pared to another studies already developed for the area mainly considering fuel consumption and travel time.

关键词： Acceleration Force Fuels Rails Context Rail transportation Equations

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Highly selective hydrogen sensing of Pt-loaded WO3 synthesized by hydrothermal/impregnation methods

Highly selective hydrogen sensing of Pt-loaded WO3 synthesiz...

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作者： Samerjai, Thanittha Liewhiran, Chaikarn Wisitsoraat, Anurat Tuantranont, Adisorn Khanta, Chanitpa Phanichphant, Sukon Nanoscience and Nanotechnology Program Faculty of Graduate School Chiang Mai University Chiang Mai 50200 Thailand Department of Physics and Materials Science Faculty of Science Chiang Mai University Chiang Mai 50200 Thailand Nanoelectronics and MEMS Laboratory National Electronics and Computer Technology Center KlongLuang Pathumthani 12120 Thailand Materials Science Research Center Faculty of Science Chiang Mai University Chiang Mai 50200 Thailand

Unloaded and 0.25-1.0 wt% Pt-loaded WO3 nanoparticles were synthesized by hydrothermal method using sodium tungstate dihydrate and sodium chloride as precursors in an acidic condition and impregnated using platinum acetylacetonate. Pt-loaded WO3 films on an Al2O 3 substrate with interdigitated Au electrodes were prepared by spin-coating technique. The response of WO3 sensors with different Pt-loading concentrations was tested towards 0.01-1.0 vol% of H2 in air as a function of operating temperature (200-350 °C). The 1.0 wt% Pt-loaded WO3 sensing film showed the highest response of ∼2.16 × 104 to 1.0 vol% H2 at 250 °C. Therefore, an operating temperature of 250 °C was optimal for H2 detection. The responses of 1.0 wt% Pt-loaded WO3 sensing film to other flammable gases, including C2H5OH, C2H4 and CO, were considerably less, demonstrating Pt-loaded WO3 sensing film to be highly selective to H2. © 2014, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.

关键词： Tungsten compounds

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Optimized hybrid verification of embedded software

Optimized hybrid verification of embedded software

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Latin American Test Workshop, LATW

作者： Jörg Behrend Alexander Gruenhage Douglas Schroeder Djones Lettnin Jürgen Ruf Thomas Kropf Wolfgang Rosenstiel Department of Computer Engineering University of Tübingen Tübingen Germany Graduate Program in Computer Science (PPGCC) Federal University of Santa Catarina Florianópolis SC Brazil

The verification of embedded software has become an important subject over the last years. However, neither standalone verification approaches, like simulation-based or formal verification, nor state-of-the-art hybrid/semiformal verification approaches are able to verify large and complex embedded software with hardware dependencies. This work presents an optimized scalable hybrid verification approach for the verification of embedded software with hardware dependencies using a mixed bottom-up/top-down algorithm with optimized static parameter assignment (SPA). These algorithms and methodologies like SPA and counterexample guided simulation are used to combine simulation-based and formal verification in a new way. SPA offers a way to interact between dynamic and static verification approaches based on an automated ranking heuristic of possible function parameters according to the impact on the model size. Furthermore, SPA inserts initialization code for specific function parameters into the source code under test and supports model building and optimization algorithms to reduce the state space. We have successfully applied this optimized hybrid verification methodology to an embedded software application: Motorola's Powerstone Benchmark suite. The results show that our approach scales better than stand-alone software model checkers to reach deep state spaces.

关键词： Embedded software Switches Benchmark testing Hardware Monitoring Software algorithms

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HMAX image processing pipeline with coupled oscillator acceleration

HMAX image processing pipeline with coupled oscillator accel...

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IEEE Workshop on Signal Processing Systems (SIPS)

作者： Brandon B. Jennings Reggie Barnett Chet Gnegy John A. Carpenter Yan Fang Donald M. Chiarulli Steven P. Levitan Computer Engineering Graduate Program The University of Pittsburgh Pittsburgh PA 15260 University of Pittsburgh Pittsburgh PA US Computer Science Department The University of Pittsburgh Pittsburgh PA 15260

In this paper we report on the performance of a coupled oscillator based implementation of the HMAX image-processing pipeline. Within this pipeline we have used coupled oscillator arrays to replace traditional Boolean logic with a Degree-of-Match (DoM) function that measures the L2 distance squared between two vectors in an n-dimensional space. We show that this operation can be used in three stages of the pipeline: 1) as a substitute for convolution in filtering operations, 2) as a computational kernel for pattern matching, and 3) as a distance function in a nearest neighbor classification algorithm. In this study, we have modeled the performance of the latter two and report our recognition results over a test set from the Neo Vision2 image database.

关键词： Oscillators Training Pipelines Libraries Computational modeling Synchronization Support vector machine classification

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Comparative study of leaf image recognition with a novel learning-based approach

Comparative study of leaf image recognition with a novel lea...

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science and Information Conference (SAI)

作者： Jou-Ken Hsiao Li-Wei Kang Ching-Long Chang Chih-Yang Lin Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan Graduate School of Engineering Science and Technology-Doctoral Program National Yunlin University of Science and Technology Yunlin Taiwan Department of Computer Science and Information Engineering Asia University Taichung Taiwan

Automatic plant identification via computer vision techniques has been greatly important for a number of professionals, such as environmental protectors, land managers, and foresters. In this paper, we conduct a comparative study on leaf image recognition and propose a novel learning-based leaf image recognition technique via sparse representation (or sparse coding) for automatic plant identification. In our learning-based method, in order to model leaf images, we learn an overcomplete dictionary for sparsely representing the training images of each leaf species. Each dictionary is learned using a set of descriptors extracted from the training images in such a way that each descriptor is represented by linear combination of a small number of dictionary atoms. Moreover, we also implement a general bag-of-words (BoW) model-based recognition system for leaf images, used for comparison. We experimentally compare the two approaches and show unique characteristics of our sparse coding-based framework. As a result, efficient leaf recognition can be achieved on public leaf image dataset based on the two evaluated methods, where the proposed sparse coding-based framework can perform better.

关键词： Image recognition Dictionaries Training Feature extraction Shape Vectors Image coding

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M2M-enabled real-time Trip Planner

M2M-enabled real-time Trip Planner

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Eduardo Cerritos Fuchun Joseph Lin EECS International Graduate Program National Chiao Tung University Hsinchu Taiwan Department of Computer Science National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9781479976164

Uncertainty is a key factor that prevents a commuter from using public transportation system. More and more transportation agencies are incorporating real-time Trip Planners to empower commuters with opportune information. However, such systems require continuous status updates from the vehicles and involves expensive communication cost. In this paper we propose an architecture that takes advantage of Machine-to-Machine Communication concepts and provides a degree of intelligence to the vehicles, to alleviate unnecessary communication between the vehicles and the Trip Planner.

关键词： Ground penetrating radar Containers Transportation Monitoring

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Corrigendum to "Target-specific near-IR induced drug release and photothermal therapy with accumulated Au/Ag hollow nanoshells on pulmonary cancer cell membranes" [Biomaterials 45 (2015) 81-92]

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Biomaterials 2015年 65卷 124-125页

作者： Mi Suk Noh Somin Lee Homan Kang Jin-Kyoung Yang Hyunmi Lee Doyk Hwang Jong Woo Lee Sinyoung Jeong Yoonjeong Jang Bong-Hyun Jun Dae Hong Jeong Seong Keun Kim Yoon-Sik Lee Myung-Haing Cho Laboratory of Toxicology College of Veterinary Medicine Seoul National University Seoul 151-742 Republic of Korea Program in Nano Science and Technology Graduate School of Convergence Science and Technology Seoul National University Seoul 151-742 Republic of Korea Medical Supplies Evaluation Center Korea Testing Certification Gunpo 435-862 Republic of Korea. Graduate Group of Tumor Biology Seoul National University Seoul 151-742 Republic of Korea. Interdisciplinary Program in Nano-Science and Technology Seoul National University Seoul 151-742 Republic of Korea School of Electrical Engineering and Computer Science Seoul National University Seoul 151-742 Republic of Korea. School of Chemical and Biological Engineering Seoul National University Seoul 151-742 Republic of Korea. Department of Biophysics and Chemical Biology and Department of Chemistry Seoul National University Seoul 151-742 Republic of Korea. Department of Chemistry Education Seoul National University Seoul 151-742 Republic of Korea. Laboratory of Toxicology College of Veterinary Medicine Seoul National University Seoul 151-742 Republic of Korea. Department of Bioscience and Biotechnology Konkuk University Seoul 143-701 Republic of Korea. Department of Chemistry Education Seoul National University Seoul 151-742 Republic of Korea. School of Chemical and Biological Engineering Seoul National University Seoul 151-742 Republic of Korea. Electronic address: yslee@snu.ac.kr. Graduate Group of Tumor Biology Seoul National University Seoul 151-742 Republic of Korea Advanced Institute of Convergence Technology Seoul National University Suwon 443-270 Republic of Korea. Electronic address: mchotox@snu.ac.kr.

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Integrating human context and occlusion reasoning to improve handheld object tracking

Integrating human context and occlusion reasoning to improve...

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IEEE International Conference on Image Processing

作者： Daniel Parks Laurent Itti Neuroscience Graduate Program University of Southern California Los Angeles CA USA Department of Computer Science University of Southern California Los Angeles CA USA

Tracking an unknown number of various objects involving occlusion and multiple entry and exit points automatically is a challenging problem. Here we integrate spatial knowledge of human-object interactions into a high performing tracker to show that human context can further improve both detection and tracking. We use the DARPA Mind's Eye Action Recognition Dataset, which is comprised of street level scenes with humans interacting with handheld objects, to show this improvement. We find that human context can greatly reduce the number of false positive detections at the expense of increasing false negatives over a large test set (>230k frames). To minimize this, we add occlusion reasoning, where object detections are hallucinated when a human detection overlaps an object detection. These components together result in an average F 1 improvement of 107% per object category and a 69% reduction in track latency.

关键词： Context Detectors Cognition Object detection Proposals Object recognition computer vision

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