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The 7th International Conference on Management and Service Science(MASS 2013)

作者： Nguyen Thanh Hai Nguyen Van Trung Vo Van Toi Biomedical Engineering Department International UniversityVietnam National UniversityHo Chi Minh CityVietnam

This paper represented Autoregressive Neural Network(ARNN) and meant threshold methods for recognizing eye movements for control of an electrical wheelchair using EEG *** eye movements such as eyes open,eyes blinks,glancing left and glancing right related to a few areas of human brain were investigated.A Hamming low pass filter was applied to remove noise and artifacts of the eye signals and to extract the frequency range of the measured *** autoregressive model was employed to produce coefficients containing features of the EEG eye *** coefficients obtained were inserted the input layer of a neural network model to classify the eye *** addition,a mean threshold algorithm was employed for classifying eye *** methods were compared to find the better one for applying in the wheelchair control to follow users to reach the desired *** results of controlling the wheelchair in the indoor environment illustrated the effectiveness of the proposed approaches.

关键词： Autoregressive NN Model threshold algorithm EEG Technology Eye Activity and Electrical Wheelchair

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Design and Realization of an Early Pre-impact Fall Alarm System Based on MEMS Inertial Sensing Units

Design and Realization of an Early Pre-impact Fall Alarm Sys...

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第四届国际仿生工程学术会议

作者： Huiqi Li Ding Liang Yunkun Ning Qi Zhang Guoru Zhao Shenzhen Key Laboratory for Low-cost Healthcare and Shenzhen Institute s of Advanced Technology Chinese Academy of Sciences

Falls are the second leading cause of unintentional injury deaths worldwide, so how to prevent falls has become a safety and security problem for elderly *** present, because the sensing modules of most fall alarm devices generally only integrate the single 3-axis accelerometer, so the measured accuracy of sensing signals is *** results in that these devices can only achieve the alarm of post-fall detection but not the early pre-impact fall recognition in real fall applications.

关键词： early fall alarm inertial sensor threshold algorithm

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Intelligent Vacuum-pumping Detection Device Base On STM32MCU

Intelligent Vacuum-pumping Detection Device Base On STM32MCU

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3rd International Conference on Digital Manufacturing and Automation (ICDMA 2012)

作者： Gao, Zhengzhong Zeng, Qingliang Li, Shiguang Shandong Univ Sci & Technicol Qingdao Shandong Peoples R China

ISBN: (纸本)9783037854624

Large centrifugal water pumps are widely applied in various water-supply and drainage systems. The vacuum-pumping is pre-requisite for their start-up so that the intelligent vacuum-pumping detection device utilizing STM32F103 as the main controller was presented to realize the automatic control especially of unattended pumps. A differential pressure transducer was adopted to measure the vacuum degree in pump chamber. Afterwards, an electrical signal of corresponding value was output, and then entered the ADC of STM32F103 after conditioning. The threshold algorithm was introduced for the judgement whether vacuum-pumping had been accomplished. Actual applications indicated this detection device was feasible and reliable, and the judgement algorithm was simply implemented and performed well in practice.

关键词： water pump vacuum-pumping STM32F103 pressure detection threshold algorithm

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Batik Image Retrieval Based on Similarity of Shape and Texture Characteristics

Batik Image Retrieval Based on Similarity of Shape and Textu...

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International Conference on Advanced Computer Science and Information Systems (ICACSIS)

作者： Rangkuti, A. Haris Bahaweres, Rizal Broer Harjoko, Agus Bina Nusantara Univ Sch Comp Sci Jakarta Indonesia Mercu Buana Univ Dept Elect Engn Jakarta Indonesia Gajah Mada Univ Comp Sci Jakarta Indonesia

ISBN: (纸本)9781467330268;9789791421157

This research develops the concept of CBIR on the image motif. For processes that do not only find images that have been stored in database, but also be able to recognize some resemblance ornament image or texture as well as form. Although different size, direction of slope, and the layout of texture and shape, but the concept will be recognized. In calculating the percentage of similarity is not only based on performance measurement precision but also the image of the relevant. From the results of over 250 studies batik motif images and 25 images in the database query, it is used for texture feature extraction methods canny edge detection and shape invariant moment feature extraction. For the calculation of the similarity distance and Canberra distance is used euclid functions. threshold algorithm which will display the image based on the value of the highest grade representation on each image query, followed by comparing the results of feature extraction using the operator min on fuzzy logic to generate maximum value. Excess threshold algorithm, compared with other methods lies in simplicity retrieval method in the image, so that the performance of CBIR becomes more reliable and effective.

关键词： Batik Image Canny Method Invariant Moment threshold algorithm Feature Extraction Euclid Canberra

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Cryptographic Methods for Securing the YML Framework

Cryptographic Methods for Securing the YML Framework

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1st International Conference on Systems and Computer Science (ICSCS)

作者： Lv, Xin Petiton, Serge G. Shang, Ling Wang, Zhijian Xu, Feng Univ Sci & Technol Lille LIFL MAP Team Villeneuve Dascq France Hohai Univ Coll Comp & Informat Nanjing Jiangsu Peoples R China North China Univ Water Conservancy & Elect Power Sch Informat Engn Zhengzhou Peoples R China

ISBN: (纸本)9781467306737;9781467306720

YML framework is a well-adapted advanced tool to support designing and executing portable parallel applications over large scale peer to peer and grid middlewares. We believe that it is necessary to consider the crucial security concerns for the improvement and extension of the framework. In this paper, two security mechanisms were introduced for the first time. To ensure the computing resources being utilized properly and legitimately, a lightweight authentication protocol was proposed, enabling the user to log in YML with 2 XOR and 1 HASH operation, meanwhile, a splitting way was adopted to distribute the secret key, making only the application requester can obtain the result. To safeguard the process of data exchanging, an efficient threshold encryption scheme was proposed. By generating a set of matched pieces of key, the data can be transformed into efficiently-recoverable half-ciphertext, which is able to transfer in public channel securely. Furthermore, dynamical addition of peers is supported in the scheme.

关键词： front end data repository key-splitting lightweight authentication threshold algorithm half-ciphertext

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Intelligent Vacuum-pumping Detection Device Base On STM32MCU

Intelligent Vacuum-pumping Detection Device Base On STM32MCU

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第三届数字制造与自动化国际会议

作者： Zhengzhong Gao Qingliang Zeng Shiguang Li Shandong University of Science & technicology

关键词： water pump vacuum-pumping STM32F103 pressure detection threshold algorithm

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Best position algorithms for efficient top-k query processing

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INFORMATION SYSTEMS 2011年第6期36卷 973-989页

作者： Akbarinia, Reza Pacitti, Esther Valduriez, Patrick Univ Montpellier LIRMM Montpellier France Univ Montpellier INRIA Montpellier France

The general problem of answering top-k queries can be modeled using lists of data items sorted by their local scores. The main algorithm proposed so far for answering top-k queries over sorted lists is the threshold algorithm (TA). However, TA may still incur a lot of useless accesses to the lists. In this paper, we propose two algorithms that are much more efficient than TA. First, we propose the best position algorithm (BPA). For any database instance (i.e. set of sorted lists), we prove that BPA stops as early as TA, and that its execution cost is never higher than TA. We show that there are databases over which BPA executes top-k queries O(m) times faster than that of TA, where m is the number of lists. We also show that the execution cost of our algorithm can be (m - 1) times lower than that of TA. Second, we propose the BPA2 algorithm, which is much more efficient than BPA. We show that the number of accesses to the lists done by BPA2 can be about (m - 1) times lower than that of BPA. We evaluated the performance of our algorithms through extensive experimental tests. The results show that over our test databases, BPA and BPA2 achieve significant performance gains in comparison with TA. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Query processing Top-k queries threshold algorithm Instance optimality

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Detection of generated and measured transient power quality events using Teager Energy Operator

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ENERGY CONVERSION AND MANAGEMENT 2011年第4期52卷 1959-1967页

作者： Subasi, Abdulhamit Yilmaz, A. Serdar Tufan, Kadir Kahramanmaras Sutcu Imam Univ Dept Elect & Elect Eng TR-46100 Kahramanmaras Turkey Int Burch Univ Dept Informat Technol Sarajevo 71000 Bosnia & Herceg Fatih Univ Dept Comp Engn TR-34500 Istanbul Turkey

In this paper, a novel algorithm, based on the Teager Energy Operator (TEO) of a sinusoidal waveform, proposed to detect and analyze the voltage disturbances. Most common power quality (PQ) disturbances at the distribution level such as voltage sags, notches, and capacitor switching are presented. These examples provide the basis for further characterization of other power quality events. Magnitudes of transient PQ events are located in the width of the signal. Furthermore, meaningful components of transients are analyzed. The whole method is implemented and tested over a sample representing recorded disturbances. Simulation and experimental results of different PQ disturbances show that the proposed method is fast and robust in detecting voltage disturbances and requires only a few samples to calculate the energy of a signal. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.

关键词： Power quality (PQ) Power system disturbances Power system transients Teager Energy Operator (TEO) threshold algorithm

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Efficient processing of exact top-k queries over disk-resident sorted lists

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VLDB JOURNAL 2010年第3期19卷 437-456页

作者： Pang, HweeHwa Ding, Xuhua Zheng, Baihua Singapore Management Univ Sch Informat Syst Singapore Singapore

The top-k query is employed in a wide range of applications to generate a ranked list of data that have the highest aggregate scores over certain attributes. As the pool of attributes for selection by individual queries may be large, the data are indexed with per-attribute sorted lists, and a threshold algorithm (TA) is applied on the lists involved in each query. The TA executes in two phases-find a cut-off threshold for the top-k result scores, then evaluate all the records that could score above the threshold. In this paper, we focus on exact top-k queries that involve monotonic linear scoring functions over disk-resident sorted lists. We introduce a model for estimating the depths to which each sorted list needs to be processed in the two phases, so that (most of) the required records can be fetched efficiently through sequential or batched I/Os. We also devise a mechanism to quickly rank the data that qualify for the query answer and to eliminate those that do not, in order to reduce the computation demand of the query processor. Extensive experiments with four different datasets confirm that our schemes achieve substantial performance speed-up of between two times and two orders of magnitude over existing TAs, at the expense of a memory overhead of 4.8 bits per attribute value. Moreover, our scheme is robust to different data distributions and query characteristics.

关键词： Top-k query processing threshold algorithm Bloom filter

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Cirrus OCT versus Spectralis OCT: differences in segmentation in fibrovascular pigment epithelial detachment

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GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY 2010年第12期248卷 1693-1698页

作者： Smretschnig, Eva Krebs, Ilse Moussa, Sarah Ansari-Shahrezarei, Siamak Binder, Susanne Ludwig Boltzmann Inst Retinol & Biomicroscop Lase A-1030 Vienna Austria Rudolf Fdn Clin Dept Ophthalmol Vienna Austria Med Univ Graz Dept Ophthalmol Graz Austria

Background Automatically measurements of retinal thickness by optical coherence tomography (OCT) facilitate the assessment of various retinal diseases. The aim of this retrospective study was to report macular thickness measurements in eyes with vascular pigment epithelial detachment (PED) due to age-related macular degeneration (AMD) by using two different commercially available spectral domain (SD) OCT instruments and to consequently point out differences in their algorithm ***. Methods OCT images of patients with vascular PED due to AMD, obtained with Cirrus and Spectralis OCT, were retrospectively analyzed. Main objectives were to observe differences in central retinal thickness (CRT) values and failures in automated threshold delineation, as well as central point thickness values obtained after manual correction of threshold lines. Scanning with the Cirrus HD OCT was performed with the 512 x 128 scan pattern;scans performed with the Spectralis OCT were 20 x 15 degree raster scans consisting of 19 high-speed line scans. Results OCT images of 34 eyes of 28 patients with a mean age of 71 years and a mean distance visual acuity (VA) of 0.70 ETDRS were analyzed. Mean central retinal thickness (CRT) was 262.38 mu m +/- 133.18 (176-507 mu m) in Cirrus and 337.82 mu m +/- 137.75 (277-790 mu m) in Spectralis scans, mainly caused by different software approaches in positioning the posterior threshold line, following the PED in Cirrus OCT whereas remaining unelevated in Spectralis OCT. There were failures in positioning the outer retinal boundary line in 50% of Cirrus scans and in 73.52% of Spectralis scans. We obtained the mean value of central point neurosensory retinal thickness of each central single scan after manual delineation, and found a significant correlation (r=0.819, p<0.001). Conclusions Our study indicates that there are significant differences in CRT values in patients with vascular PED, due to different segmentation algorithms and a high erro

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