bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Viable Capacitive Approach for Damage Detection of Aircraft Composite Material
Authors: Ensheng Dong , Yilin Jiang , Wei Guo , Xiangbin Yu 
Published: February 2018

Abstract
Military and Commercial aircraft are being constructed by more and more advanced composite materials. In order to prevent catastrophic failure any damage in aircraft composite material should be detected as soon as possible. The relations of the electrode length, the electrode width, and the space between electrodes to the testing sensitivity of the uniplanar double electrodes are investigated. A three dimensions model of the uniplanar capacitive sensor with 8 electrodes is founded and the optimization for the structure parameters of the sensor with 8electrodes is carried out. According to the optimization, a uni-planar capacitive sensor, with 8-electrode on one plane substrate and a ground screen electrode and the screen between electrodes, is designed to get the corresponding capacitance information of the measured composite material slab. 2 aircraft composite material slabs, one is healthy and the other is notched, are used as a sample for the experiment of detecting the damages. The preliminary experimental results show that the measured capacitances decrease after damage occurs in aircraft composite material and that the proposed approach can effectively detect the damage of aircraft composite material. The proposed approach is a viable technique for in-situ damage detection of aircraft composite material.
The Fast Method for Correction of Distortion on Infrared Marker-Based Tracking System
Authors: Wang Haibin , He Qing , Guan Guan , Leng Bin , Zeng Dewen 
Published: February 2018

Abstract
This paper adopts ordinary CCD cameras and IR filters to constitute IR cameras for a marker-based quadri-ocular tracking system. However, the IR filters will affect the accuracy of the tracking system. Therefore, this paper analyses the refraction of IR filters and finds IR filters will bring about the biggish radial distortion on imaging process. And then, this paper directly uses Zhang’s technique to calibrate the parameters of IR cameras in infrared environment by adjusting the imaging conditions of calibration. To improve the accuracy and satisfy the real-time requirement of the tracking system, a real-time method to correct the radial distortion is proposed in this paper. The experiments show that the speed of the correction method is satisfactory, and the accuracy of tracking system is effectively improved by the method.
Adaptive Dynamic Clone Selection Neural Network Algorithm for Motor Fault Diagnosis
Authors: Hongbing Wu , Peihuang Lou , Dunbing Tang 
Published: February 2018

Abstract
A fault diagnosis method based on adaptive dynamic clone selection neural network (ADCSNN) is proposed in this paper. In this method the weights of neural network is encoded as the antibody, and the network error is considered as the antigen. The algorithm is then applied to fault detection of motor equipment. The experiments results show that the fault diagnosis method based on ADCS neural network has the capability in escaping local minimum and improving the algorithm speed, this gives better performance.
Automated Mobility and Orientation System for Blind or Partially Sighted People
Authors: Alshbatat Abdel Ilah Nour 
Published: February 2018

Abstract
Currently, blind people use a traditional cane as a tool for directing them when they move from one place to another. Although, the traditional cane is the most widespread means that is used today by the visually impaired people, it could not help them to detect dangers from all levels of obstacles. In this context, we propose a new intelligent system for guiding individuals who are blind or partially sighted. The system is used to enable blind people to move with the same ease and confidence as a sighted people. The system is linked with a GSM-GPS module to pin-point the location of the blind person and to establish a two way communication path in a wireless fashion. Moreover, it provides the direction information as well as information to avoid obstacles based on ultrasonic sensors. A beeper, an accelerometer sensor and vibrator are also added to the system. The whole system is designed to be small, light and is used in conjunction with the white cane. The results have shown that the blinds that used this system could move independently and safely.
Electronic Track Map Building for Satellite-based High Integrity Railway Train Positioning
Authors: Jiang Liu , Baigen Cai , Jian Wang 
Published: February 2018

Abstract
The concept of electronic track map has been introduced and researched in many satellitebased railway train positioning and location-based railway systems. It should characterize the railway tracks and their key objects and facilities with a satisfied accuracy and completeness. Based on the application requirements, design and building of the electronic track maps should be in accordance with the map matching approach, and moreover, considering the integrity effect that is decisive to safety. This paper introduces a paradigm for electronic track map design and generation. According to the satellite-base train positioning scheme, the architecture of the electronic track map and its coupling in the train-borne systems is investigated. Detailed track map generation method is summarized as a five-step process, including raw measurement collection, rejection of abnormal measurement, feature points extraction, track interpolation, and topographic property supplement. Following this approach, the map matching with high integrity is discussed where the statistics of matching residual is adopted to improve the direct error analysis. Practical measurements and field test results demonstrate the capability of the presented track map building and integrity monitoring approaches. That provides great potential to implementation of satellite navigation in railway applications and services.
Design And Characterization Of Automated Color Sensor System
Authors: Assaad Maher , Yohannes Israel , Bermak Amine , Ginhac Dominique , Meriaudeau Fabrice 
Published: February 2018

Abstract
The paper presents a color sensor system that can process light reflected from a surface and produce a digital output representing the color of the surface. The end-user interface circuit requires only a 3-bit pseudo flash analog-to-digital converter (ADC) in place of the conventional/typical design comprising ADC, digital signal processor and memory. For scalability and compactness, the ADC was designed such that only two comparators were required regardless of the number of color/wavelength to be identified. The complete system design has been implemented in hardware (bread board) and fully characterized. The ADC achieved less than 0.1 LSB for both INL and DNL. The experimental results also demonstrate that the color sensor system is working as intended at 20 kHz while maintaining greater than 2.5 ENOB by the ADC. This work proved the design concept and the system will be realized with integrated circuit technology in future to improve its operating frequency.
Precise Transhippment Control Of An Automated Magnetic-Guided Vehicle Using Optics Positioning
Authors: Wu Xing , Lou Peihuang , Shen Ke , Peng Guangqing , Tang Dunbing 
Published: February 2018

Abstract
A parking position detection and control system is developed for precise transshipment of palletized materials between an automated guided vehicle (AGV) and a load transfer station. In order to align the roller conveyer of the AGV with that of the station, it is necessary for the AGV to detect the longitudinal, lateral and orientation deviations of its body with respect to the station. A pair of magnetic sensors is used to measure the lateral and orientation deviations of the AGV relative to a magnetic tape used as the guide-path. Fuzzy control is proposed to eliminate two deviations for path tracking that keeps the AGV on its path. A set of optics emitters and receivers is arranged on some specific points in the AGV and the station respectively to determine the longitudinal position for material transshipment, and to coordinate the transmission operation of two equipments. The experiment for the palletized materials transshipment shows that positioning control of our AGV parking system can achieve the accuracy, repeatability and reliability needed in industrial applications.
An Artificial Immune Network Clustering Algorithm For Mangroves Remote Sensing Image
Authors: LUO Yanmin , LIU Peizhong , LIAO Minghong 
Published: February 2018

Abstract
Because of not needing training samples and performing the classification just according to the inherent similarity of data in the multidimensional space, unsupervised classification method now gets more and more attention by remote sensing data analyst. Duo to the special growth environment of mangroves, field measurements is difficult to be done to obtain training samples. Therefore unsupervised method provides a good adjunct way for the classification of mangroves remote sensing image. This paper presents an immune network based unsupervised classification method, which is not necessary to define complex objective function. By arbitrarily selecting a certain number of data to be training samples, the proposed algorithm mines the prior knowledge of the samples and selects a few samples to constitute the initial nodes of immune network. After the evolutionary of the immune network, the clustering results are obtained, combined with nearest neighbor classification mechanism, the classification is performed. The experiment results show that the proposed algorithm has better overall stability and can get better clustering result for mangroves remote sensing image than traditional clustering methods.
An Intelligent Flood Control Decision Support System For Digital Urban Management
Authors: Chen Guanlin , Sun Xinxin , Li Shengquan , He Jiang , Zhang Jiawei 
Published: February 2018

Abstract
Digital Urban Management has become a trend in the development of contemporary cities. This paper presents the design and implementation of an intelligent flood control decision support system (IFCDSS) using statistical analysis to determine the relationship between the data, and integrate data mining technology for digital urban management based on Java EE. The system also provides location-based decision making in urban management by using the Baidu Maps API.
Nanostructured Znco2o4Thick Film As An Ethanol Sensor
Authors: Bangale S. V. 
Published: February 2018

Abstract
Semiconductive nanometer-size material ZnCo2O4 was synthesized by a solution combustion reaction of inorganic reagents of Zn(NO3)3. 6H2O, Co(NO3)3.6H2O and glycine as a fuel. The process was a convenient, environment friendly, inexpensive and efficient preparation method for the ZnCo2O4 nanomaterial. The synthesized materials were characterized by TG/DTA, XRD, EDX, SEM, and TEM. Conductance responses of the nanocrystalline ZnCo2O4 thick film were measured by exposing the film to reducing gases like Acetone, Ethanol and CO2. It was found that the sensors exhibited various sensing responses to these gases at different operating temperature. Furthermore, the sensor exhibited a fast response and a good recovery. The results demonstrated that ZnCo2O4 can be used as a new type of gas-sensing material which has a high sensitivity and good selectivity to Ethanol 200 ppm.
Perceptual Hashing Algorithm For Speech Content Identification Based On Spectrum Entropy In Compressed Domain
Authors: Qiu-yu Zhang , Yang-wei Liu , Yi-bo Huang , Peng-fei Xing , Zhong-ping Yang 
Published: February 2018

Abstract
This paper proposes a new perceptual hashing algorithm for speech content identification with compressed domain based on MDCT (Modified Discrete Cosine Transform) Spectrum Entropy. It aims primarily to solve problems of large computational complexity and poor real-time performance that appear when applying traditional identification methods to the compressed speeches. The process begins by extracting the MDCT coefficients, which are the intermediately decoded results of compressed speeches in MP3 format. In order to reduce the computational complexity, these coefficients are divided into sub-bands and the energy of MDCT spectrum is then calculated. Subbands of MDCT spectrum energy are then mapped to a similar mass function in information entropy theory. The function will be used as a perceptual feature and set to extract binary hash values. Experimental results show that the proposed algorithm keeps greater robustness to content-preserving operations while also maintaining efficiency. As a result of the partial decoding process, the real-time performance can meet the requirements of applications in real-time communication terminals.
Analysis Of Diesel And Rapeseed Methyl Ester Properties In Ceup Fuel Pipeline Using Frequency Dependent Damping Model
Authors: Hayat Qaisar , Liyun Fan , Enzhe Song , Ma Xiuzhen , Bingqi Tian , Farouk Naeim 
Published: February 2018

abstract
During a fuel injection cycle pressure inside Combination Electronic Unit Pump (CEUP) fuel injection system varies from low (~50 bars) to very high (~1500 bars) in fractions of seconds depending on the operating conditions. Physical properties of fuel including density, acoustic wave speed and bulk modulus also vary as a function of rapidly varying fuel pressure. A detailed analysis of these key fuel properties with our improved frequency dependent model with viscous damping developed in MATLAB is presented for both diesel and biodiesel fuel Rapeseed Methyl Ester (RME). Quantitative analysis of developed model confirms that model predictions are quite realistic and accurate across range of operating conditions of diesel engine.
Torque Measurement During Body Cavity Entry Using A Threaded Visual Cannula
Authors: Bakirtzian A. , Ternamian A. , Manson G. , Tremblay L. , Benhabib B. 
Published: February 2018

abstract
Port creation is one of the most common complications associated in endoscopic procedures. The focus of our study was to establish a reproducible method of determining the torque profile generated during body cavity entry using a Threaded Visual Cannula (TVC). A TVC was evaluated on 32 samples of foam media. A torque profile was generated by measuring the torque required to cannulate the foam media. Penetration of the media was captured by a digital imaging system. The magnitude of torque to required cannulate the foam media was dictated by the amount of friction present between the foam and the external threads of the TVC. Furthermore, the magnitude of friction was dictated by the material properties of the individual media. A reproducible method of measuring entry torque during body cavity entry was established.
Index Finger Motion Recognition Using Self-Advise Support Vector Machine
Authors: Anam Khairul , Jumaily Adel Al , Maali Yashar 
Published: February 2018

abstract
Because of the functionality of an index finger, the disability of its motion in the modern age can decrease the person’s quality of life. As a part of rehabilitation therapy, the recognition of the index finger motion for rehabilitation purposes should be done properly. This paper proposes a novel recognition system of the index finger motion suing a cutting-edge method and its improvements. The proposed system consists of combination of feature extraction method, a dimensionality reduction and well-known classifier, Support Vector Machine (SVM). An improvement of SVM, Self-advise SVM (SA-SVM), is tested to evaluate and compare its performance with the original one. The experimental result shows that SA-SVM improves the classification performance by on average 0.63 %.
Improved Measure Algorithm Based On Cosamp For Image Recovery
Authors: Wu Guohui , Li Xingkun , Dai Jiyang 
Published: February 2018

abstract
In order to improve the quality of the reconstruction image which using Compressive sensing(CS) algorithm. Based on improved measurement matrix combined with CS Matching Pursuit(CoSaMP)algorithm, this paper presents a kind of Fourier Ring Compressive Sampling Matching Pursuit (FR-CoSaMP) algorithm. The algorithm superimposed deterministic ring measurement matrix to optimize measurement process on the basis of Fourier measurement matrix. And solve the iterative inverse operation by using FFT fast Fourier calculation method, which can make the measurement information more complete, and speed up the signal reconstruction. Then introduces the mathematical framework and algorithmic processes of the FR-CoSaMP algorithm in details. Finally, compare these types of traditional algorithms and the improved algorithm by analysis and simulation. The results show that, under the same image sparsity and measurement scale, the improved FR-CoSaMP algorithm has better performance in terms of the image reconstruction.
A Review Of Energy Optimal Topology Control For Large Wireless Network Using Yao-Graph And Its Variants
Authors: Nag Anindya , Roy Rajarshi 
Published: February 2018

AbstractThe advent of wireless communication and networking in the last two decades has led to the need of modification in the regular graphs used as spanners. The spanner is a sub graph of the original graph which connects the essential nodes for transmission of the message. For this purpose the Omni directional antennas are usually used and the “spanner-graph” performance metric is a constant multiplied by the same of the original graph. This constant is known as the “stretch factor”. One of the most common attribute for wireless communication is the energy required for faithful transmission of a message between two nodes. But the Omni directional antennas lead to interference and wastage of bandwidth and energy. The nodes of wireless communication are however neither always static nor equipped with any infrastructure. Rather the same might as well be ad-hoc and mobile. Another well used notion is that of the unit disk graph (UDG), where a node can communicate only if the other nodes are within the disk of unit radius. However the graph being dynamic in nature, the nodes do not have fixed transmission radii and the same changes according to the power requirement of transmission. This work of ours mainly deals with the different graphs being used as spanners. It explains a few algorithms described in other papers which it reviewed. The associated algorithms are related to Yao graph. This graph and its modifications are discussed and it is explained how they could be used energy efficiently. The Yao-Yao graph for example can be used as a spanner for certain specific values of stretch factors.
An Energy Efficient, Minimally Intrusive Multisensor Intelligent System For Health Monitoring Of Elderly People
Authors: Samanta N. , Chanda A.K. , RoyChaudhuri C. 
Published: February 2018

abstract
Most of the existing systems for elderly health monitoring deploy a large number of cognitive sensors including wearable sensors for physiological parameter measurement. Increasing number of sensors not only make the system power consuming and expensive but also intrusive in nature. However, there exists very limited research on power saving algorithms in such systems incorporating customer friendly features. In this paper, we report a modified health monitoring system which addresses both these issues. The central controller unit has an in-built algorithm based on two level adaptive branch prediction techniques to detect the period of inactivity of sensor nodes. Further, only one wearable heart rate sensor node is included in the system which measures the heart rate and detects abnormality. The central controller signals an alarm to the user to wear this predicting the sleeping time. This makes the system minimally intrusive and user friendly. Thus the multi-sensor network consists of motion sensor, current sensor and a wearable heart rate sensor along with a central controller unit. The prototype of the whole system has been installed in the house of elderly person and it has been observed that the time of prediction was close to the actual time for more than 90% of the days for a test period of one month. An average of 68% power saving has been achieved in the modified system.
Application Of Boundary Layer Theory In Open Channel Flume Design
Authors: Wei Wu 
Published: February 2018

Abstract
In accordance with the problem of the need for calculation formula of the straight wall flume flow in open channel by experiment, the method of thee boundary layer is proposed; Analysis with boundary layer displacement thickness is studied, and the energy equation, continuous equation and the theory and critical depth of flume flow coefficient, velocity coefficient is deduced using the boundary layer theory and the flow calculation formula is given; Through iterative algorithm, the flow can be calculated theoretically. With four different kinds of parameters in the U-shaped channel flume algorithm are verified, the results show that the theoretical calculation corresponds to the actual observation. Therefore, the boundary layer theory to calculate the flow of the flume is not only studied the amount of water problems in theory, simplifies the complicated test calibration, but also has important practical value.
Vision Based Multi-Feature Hand Gesture Recognition For Indian Sign Language Manual Signs
Authors: Kharate Gajanan K. , Ghotkar Archana S. 
Published: February 2018

Abstract
Indian sign language (ISL) is the main communication medium among deaf Indians. An ISL vocabulary show that the hand plays a significant role in ISL. ISL includes static and dynamic hand gesture recognition. The main aim of this paper is to present multi-feature static hand gesture recognition for alphabets and numbers. Here, comparative analysis of various feature descriptors such as chain code, shape matrix, Fourier descriptor, 7 Hu moments, and boundary moments is done. Multi-feature fusion descriptor is designed using contour (Boundary moments, Fourier descriptor) and region based (7Hu moments) descriptors. Analysis of this new multi-feature descriptor is done in comparison with other individual descriptors and it showed noteworthy results over other descriptors. Three classification methods such as, Nearest Mean Classifier (NMC), k-Nearest Neighborhood (k-NN) and Naive Bayes classifier are used for classification and comparison. New Multi-feature fusion descriptor shows high recognition rate of 99.61% among all with k-NN. Real time recognition for number signs 0-9, of fusion descriptor with NMC gave 100% accuracy
Base Band Resource Distribution Under C-Ran
Authors: Niu Yanrong 
Published: February 2018

Abstract
Aim to cost of wireless operators constantly increases but income increases slowly, this paper researches cloud wireless access network (C-RAN) based on concentrated resources pool, proposes a dynamic projection model combined with base band processing unit (Building Base band Unit, BBU) and remote radio unit (Radio Remote Unit, RRU), designs base band resource allocation method, according to cloud calculation and C-RAN technology which introduced in this paper, through calculation and analysis, results show that using heuristic order-decreasing first-fit algorithm as the preallocation algorithm can distribute base band resource properly and realize dynamic scheduling under C-RAN, which is practical and feasible to improve utilization of base band resource and reduce power consumption