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IEEE International Conference on Multimedia Computing and Systems (ICMCS)

作者： Azz El Arab El Hossaini Mohamed El Aroussi Khadija Jamali Samir Mbarki Mohammed Wahbi Departement of Computer Science Faculty of Science Ibn Tofail University Kenitra Morocco Department of Electrical Engineering Hassania School of Public Works Oasis-Casablanca Morocco Departement of Computer Science Ibn Tofail University Kenitra Morocco

In this paper, a novel watermarking scheme is proposed by embedding a gray-scale watermark into gray-scale images. The proposed scheme is a Hybrid watermarking algorithm based on singular value decomposition (SVD) and Steerable Pyramid (SP) wavelet transform. The robustness of the proposed method is evaluated by executing various image processing attacks. Peak signal to noise ratio (PSNR) is used to examine the image quality before and after the embedding process. Experimental results show that the proposed watermarking scheme is robust against various attacks.

关键词： Matrix decomposition Wavelet transforms Watermarking Bismuth Wiener filters Silicon Filtering

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Using facebook to better engage college students in learning

Smart Innovation, Systems and Technologies

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Smart Innovation, Systems and Technologies 2013年 20卷 403-408页

作者： Lee, Wei-Bin Teng, Chun-Wen Hsueh, Nien-Lin Li, Yung-Hui Department of Information Engineering and Computer Science Feng Chia University Taiwan Graduate Institute of Public Policy Feng Chia University Taiwan

ISBN: (纸本)9783642354519

When more and more people integrate Social Network Services (SNS) into their daily life, digital native students were more accustomed to communicate via SNS. Research shows SNS is beneficial to some academic goals, but research also shows most teachers hesitate about adopting SNS to assist teaching. Comparing to why should we integrate SNS into education, teachers are more interested in how to integrate SNS into education. In this study, two fomal college class students(N= 120) are examined the possible situation of praticing facebook assisted teaching may encounter. We found that even with the high information exchanging frequency made by facebook notification features, it's still hard to increase students' interaction without course interaction strategy. We also found the potential of creating issue group instead of class group to continue subject learning between students and alumni. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Students

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A study into a semi-supervised dimensionality reduction algorithm based on feature information integration

A study into a semi-supervised dimensionality reduction algo...

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2014 2nd International Conference on Frontiers in computer Education(ICFCE 2014)

作者： M.M.Qi X.Liu B.Zhang C.Luo S.H.Yuan D.D.Lv School of Yuanpei Shaoxing University The Third Research Institute of Ministry of Public Security College of Information Mechanical and Electrical EngineeringShanghai Normal University Department of Computer Science and Technology Tongji University

From the angle of the feature level information integration,through linear weighting integration method,this paper proposes a semi-supervised dimensionality reduction algorithm integrated with the sparsity reconstruction feature information and pair constraint feature information and applies the genetic algorithm to perform automatic optimization selection to the linear weighting balance *** show that,when comparing the algorithm with the previous method,it has good dimensionality reduction classification performance.

关键词： image A study into a semi-supervised dimensionality reduction algorithm based on feature information integration

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Hot Water Occupancy Sensor

Hot Water Occupancy Sensor

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Conference on Technologies for Sustainability (Sustech)

作者： Irene R Wong Jeff Gardiner Linda Esparza Todd Blackman School of Electrical Engineering and Computer Science Washington State University-TriCities Richland Wa Energy Northwest Richland Wa Department of Conservation Franklin Public Utility District Pasco Wa USA

The following article describes a senior engineering project design of a completed cost benefit analysis and a demonstration prototype. The project evaluates the potential energy savings of interrupting power to a hot water tank and builds a demonstration prototype as an initial proof of concept. The demonstration prototype uses a microcontroller, sensors, and solid state relay to interrupt power during low usage periods of a residential hot water tank to reduce energy consumption. A cost benefit analysis addresses the results, potential savings, and future enhancements.

关键词： Conferences Temperature measurement Heating Educational institutions Turning Electricity Temperature sensors

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Pulse shaping for millimeter-wave and terahertz applications in coplanar technology

Pulse shaping for millimeter-wave and terahertz applications...

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European Conference on Microwave

作者： M. Chudzik I. Arnedo I. Arregui F. Teberio A. Lujambio T. Lopetegi M. A. G. Laso Q. Yu N. S. Barker A. Ghaddar A. Chahadih G. Ducournau J. F. Lampin T. Akalin Electrical and Electronic Engineering Department Public University of Navarre Pamplona Spain R&D Department das-Nano S.L Mutilva Baja Navarre Spain Electrical and Computer Engineering Department University of Virginia Charlottesville United States Institut d'Electronique de Microelectronique et de Nanotechnologie Villeneuve d'Ascq France

In this work, a pulse shaper in coplanar technology intended for the unlicensed band up to the THz region is designed, fabricated, and measured. This broadband frequency range is of great interests as it offers very high data rate communication in local area networks. The technique employs tailored coplanar lines that have been designed using an exact analytical series solution of the synthesis problem derived from the coupled-mode theory. The frequency response of the pulse-shaping device introduced in the synthesis method depends on the spectrum of the applied THz impulse generator, application-dependent devices (e.g. antenna) with known responses, and desired THz output response. Here, the desired output pulse is a combination of Hermite polynomials with 5 ps of temporal duration. The designed device has been simulated in the frequency domain and the obtained result of the S11 parameter has been used in the time domain calculation of the output pulse giving good accordance with the desired THz pulse. The prototype has been fabricated with gold metallization on HR-Si substrate by e-beam lithography and lift-off process. A downscaled version with spectral content up to 0.3 THz is also fabricated and measured validating each component of the system.

关键词： Broadband antennas Microwave communication Electromagnetic waveguides Broadband communication Frequency response

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Dental fluorosis classification using multi-prototypes from fuzzy C-means clustering

Dental fluorosis classification using multi-prototypes from ...

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IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB)

作者： Uklid Yeesarapat Sansanee Auephanwiriyakul Nipon Theera-Umpon Chatpat Kongpun Chiang Mai University Chiang Mai TH Department of Computer Engineering Chiang Mai University Chiang Mai Thailand Department of Electrical Engineering Chiang Mai University Chiang Mai Thailand Intercountry Centre for Oral Health Department of Health Ministry of Public Health Chiang Mai Thailand

Dental fluorosis occurs in many parts of the world because of highly exposure to high concentration of fluoride in the teeth development stage. To help the health policy makers developing the prevention and treatment plans, a manual or automatic image-based dental fluorosis classification system is needed. In this paper, we develop an automatic dental fluorosis classification system using multi-prototypes derived from the fuzzy C-means clustering algorithm. The values from red, green, blue, hue, saturation, and intensity channels are utilized as features in the algorithm. We also set the dental fluorosis classification criteria from the amount of pixels belonging to each class. We found that the pixel correct classification rate is around 92% on the training data set and around 90% on the blind test data set when comparing the results with two experts. Three out of seven images in the training data set and eight out of fifteen images in the blind test data set are correctly classified into dental fluorosis classes.

关键词： Dentistry Classification algorithms Teeth Training data Image color analysis Image segmentation Clustering algorithms

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Optimization of elevator evacuation considering potential over-crowding

Optimization of elevator evacuation considering potential ov...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Ning Ding Tao Chen Peter B. Luh Hui Zhang Center for Intelligent and Networked Systems Tsinghua University Beijing China Department of Electrical and Computer Engineering University of Connecticut Storrs Connecticut USA Institute of Public Safety Research Tsinghua University Beijing China

Many countries, such as the US, China, and the UK, have considered using safe elevators (such as fire elevators) on safe floors (such as refuge floors) in high-rise buildings to speed up emergency evacuation. However, for safety reasons such as sheave traction and brake capability, elevators are designed not to operate when overloaded. Overcrowding, then, may actually slow down building evacuation when a car is overloaded. As a result, how to speed up elevator evacuation considering potential overcrowding is an important issue. This problem is difficult because of the uncertain traffic and complicated elevator scheduling. To reduce the traffic uncertainties, one trend is to use the surveillance cameras in smart high-rise buildings to know the number of waiting evacuees. To avoid the phenomenon of elevator overloading, multiple elevators will be sent to the same floor based on the number of waiting evacuees. To reduce the complication of elevator scheduling, all the elevators are divided into groups with one or more elevators in each group. Then these groups will be dispatched to different floors according to the numbers of waiting evacuees. Our objective is to minimize the evacuation time with the constraints of evacuees' safety. The Genetic Algorithm toolbox in Matlab is used to solve this problem. A case study is used to demonstrate that, compared with the building where one floor can be served by one car, our elevator scheduling can reduce the evacuation time.

关键词： Elevators Floors Fires Genetic algorithms MATLAB

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Privacy engineering emerges as a hot new career

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IEEE Potentials 2013年第6期32卷 7-9页

作者： Cranor, Lorrie Faith Sadeh, Norman School of Computer Science Engineering and Public Policy Department Carnegie Mellon University United States School of Computer Science Carnegie Mellon University United States

Are you concerned about the privacy implications of big data;government surveillance;or the ability of social networks, search engines, and online advertisers to amass detailed profiles of individuals Do you want to use your technical skills to help reverse the trend toward diminishing privacy Would you like to help find ways to design privacy into products and services without sacrificing functionality or convenience Do you want to help people take control over their own personal information If you answered yes to any of these questions, then a career in privacy engineering may be for you. © 1988-2012 IEEE.

关键词： Search engines

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A FLOOD MAPPING ALGORITHM FROM CLOUD CONTAMINATED MODIS TIME-SERIES DATA USING A MARKOV RANDOM FIELD MODEL

A FLOOD MAPPING ALGORITHM FROM CLOUD CONTAMINATED MODIS TIME...

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IEEE International Geoscience and Remote Sensing Symposium

作者： T. Kasetkasem P. Phuhinkong P. Rakwatin T. Chanwimaluang I. Kumazawa Department of Electrical Engineering Kasetsart University Bangkok Thailand Geo-Informatics and Space Technology Development Agency (Public Organization) Bangkok Thailand National Electronics and Computer Technology Center Pathumthani Thailand Tokyo Institute of Technology Yokohama Japan

This paper addresses the problem of flood detection from the cloud-contaminated MODIS time-series data. Although MODIS data can provide almost daily coverage over the large area with the medium resolution. The use of MODIS data for flood mapping in the tropical regions is a challenging task due to the cloud contamination. Since the floods usually occur in the connected regions over a certain period of time, we employed the Markov random field model to characterize this property. For our experiments, the classification accuracy of flooded and non-flooded areas can be significantly increased by incorporating the MRF model.

关键词： MODIS Clouds Accuracy Floods Data models Markov processes Remote sensing

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Tensor total-variation regularized deconvolution for efficient low-dose CT perfusion

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) 2014年 8673卷 154-161页

作者： Fang, Ruogu Sanelli, Pina C. Zhang, Shaoting Chen, Tsuhan Department of Electrical and Computer Engineering Cornell University IthacaNY United States Department of Radiology Weill Cornell Medical College New YorkNY United States Department of Public Health Weill Cornell Medical College New YorkNY United States Department of Computer Science University of North Carolina at Charlotte CharlotteNC United States

ISBN: (纸本)9783319104034

Acute brain diseases such as acute stroke and transit ischemic attacks are the leading causes of mortality and morbidity worldwide, responsible for 9% of total death every year. ‘Time is brain’ is a widely accepted concept in acute cerebrovascular disease treatment. Efficient and accurate computational framework for hemodynamic parameters estimation can save critical time for thrombolytic therapy. Meanwhile the high level of accumulated radiation dosage due to continuous image acquisition in CT perfusion (CTP) raised concerns on patient safety and public health. However, low-radiation will lead to increased noise and artifacts which require more sophisticated and time-consuming algorithms for robust estimation. We propose a novel efficient framework using tensor totalvariation (TTV) regularization to achieve both high efficiency and accuracy in deconvolution for low-dose CTP. The method reduces the necessary radiation dose to only 8% of the original level and outperforms the state-of-art algorithms with estimation error reduced by 40%. It also corrects over-estimation of cerebral blood flow (CBF) and under-estimation of mean transit time (MTT), at both normal and reduced sampling rate. An efficient computational algorithm is proposed to find the solution with fast convergence. © Springer International Publishing Switzerland 2014.

关键词： Tensors

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