bluuebunny/crossref_metadata_2025_split huggingface dataset:
Image Fusion and Recognition based on Compressed Sensing Theory
Authors: Bai Qiuchan , Jin Chunxia 
Published: November 2017

Abstract
As the compressed sensing theory can offer a better performance than Nyquist sampling theorem when dealing with large amounts of data, it becomes very popular for image fusion and target recognition in image processing. In this paper, a new image fusion algorithm based on compressed sensing was proposed. By discrete cosine transform, it fused images through weighted coefficient, recovered the fusion images by basic pursuit algorithm. Moreover, a recognition algorithm in compressed sensing was also studied, which obtained a sample matrix using preprocessing based on a wavelet transform, calculated the approximate coefficient by orthogonal matching pursuit, and made a classification using the with minimum distance formula. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.
Digital Image Watermarking Algorithms Based on Dual Transform Domain and Self-Recovery
Authors: Yuefeng Zhu , Li Lin 
Published: November 2017

Abstract
In view of dual watermarking algorithm for dual two value image watermarking, the watermark information there is a gray image watermarking in the expression is obviously insufficient. The proposed embedded in the carrier image on the dual watermark includes a two watermark image and a gray image watermarking algorithm, the persuasive power while maintaining the original two values of the watermark robustness at the same time, improve the watermark information. In order to balance the robustness and invisibility of watermarking algorithm, this paper analyzes the embedding position and strategy of transform domain algorithms, the DC coefficient in the carrier image is divided into blocks of DCT spectrum and spectrum on the combination of DWT coefficient method and the advantage of embedded dual watermarking, and use the NEC characteristic of the algorithm is improved adaptive based on the embedded mode. The gray image watermark bit plane decomposition compression high four bit plane information as watermarking, in reducing the original watermark loading and enhance the overall strength of self recovery system. This paper from the working principle, classification of digital watermarking, attack types, performance index, evaluation method and uses six aspects were introduced to the digital watermarking technology. Simulation study of a digital image watermarking algorithm based on DCT transform and Arnold transform, the algorithm’s imperceptibility, robustness and security are analyzed, the algorithm for embedding process.
Acoustic-Phonetic Feature Based Dialect Identification in Hindi Speech
Authors: Sinha Shweta , Jain Aruna , Agrawal S. S. 
Published: November 2017

Abstract
Every individual has some unique speaking style and this variation influences their speech characteristics. Speakers’ native dialect is one of the major factors influencing their speech characteristics that influence the performance of automatic speech recognition system (ASR). In this paper, we describe a method to identify Hindi dialects and examine the contribution of different acoustic-phonetic features for the purpose. Mel frequency cepstral coefficients (MFCC), Perceptual linear prediction coefficients (PLP) and PLP derived from Mel-scale filter bank (MF- PLP) have been extracted as spectral features from the spoken utterances. They are further used to measure the capability of Auto-associative neural networks (AANN) for capturing non-linear relation specific to information from spectral features. Prosodic features are for capturing long - range features. Based on these features efficiency of AANN is measured to model intrinsic characteristics of speech features due to dialects.
Nodes Control Algorithm Design Based Coverage and Connectivity of Wireless Sensor Network
Authors: Zhouping Yin 
Published: November 2017

Abstract
Coverage and connectivity are two important problems in wireless sensor network. This paper focuses on the wireless sensor network communication radius in the high density of sensor nodes deployed randomly and two times smaller than the sensing radius; put forward a distributed k coverage multi connected node deployment algorithm based on grid. Simulation results show that the algorithm in this paper while guaranteeing the wireless sensor network coverage and connectivity can reduce the number of the active state nodes effectively, prolong the wireless sensor network lifetime. Theoretical analysis results show that this article nodes deployment algorithm achieves multi connected
Feature Selection Algorithm Based on Conditional Dynamic Mutual Information
Authors: Liping Wang 
Published: November 2017

Abstract
Aim at existing selection algorithm mutual information inaccurate valuation problem, a condition dynamic concept of mutual information. On this basis, the conditions proposed based on dynamic mutual information (CDMI) feature selection algorithm to overcome the traditional mutual information selection process dynamic correlation problem; conditions of dynamic mutual information throughout the selection process is dynamic valuation, those the samples can be identified after each selection features removed so that they no longer participate in conditional mutual information calculation process, accurate measurement sample. Accurate measurement sample on the degree of importance characteristics and at the same time ensure that the characteristics of information content. The experimental results verify the correctness and effectiveness of the algorithm.
Geometric Deep Particle Filter for Motorcycle Tracking: Development of Intelligent Traffic System in Jakarta
Authors: Gunawan Alexander A S , Jatmiko Wisnu 
Published: November 2017

Abstract
Intelligent Transportation Systems (ITS) is the combination of transportation systems with Information and Communication Technology (ICT). In Jakarta traffic, there is unique issue that does not arise in developed countries: very large number of motorcycles. Nevertheless, the enabling technologies for the detection, measurement, recording, and information distribution of motorcycle have not been fully developed in the existing researches. With the above considerations, we establish research which aimed to develop enabling technology especially in here for tracking motorcycle using camera.
This paper is presented our proposed tracker which called as Geometric Deep Particle Filter (GDPF) for tracking motorcycle using camera. The tracker is inspired by human visual perception which has nonretinotopic nature. Based on particle filter approach, our goal is to improve the transition model in order to overcome motorcycle maneuver. We will exploit this curved nature of the state space using geometric computing theory, such as Lie groups, and Lie algebras. A number of experiments have been conducted for this research, and it has been found that GDPF has achieved certain degree of success in object tracking.
Study on Image Compression and Fusion Based on the Wavelet Transform Technology
Authors: Ning Zhang , Jinfu Zhu 
Published: November 2017

Abstract
With the development of information technology, the rapid development of microelectronics technology, image information acquisition and use is also increasing, sensor technology also unceasingly to reform. A single sensor information obtained is limited, often can not meet the actual needs, in addition, different sensors have the advantage of the imaging principle and its unique, as in color, shape characteristics, band access, spatial resolution from the aspects of all have their own characteristics. Registration algorithm is proposed in this paper has better robustness to image noise, and can achieve sub-pixel accuracy; the registration time has also been greatly improved. In terms of image fusion, the images to be fused through wavelet transform of different resolution sub image, using a new image fusion method based on energy and correlation coefficient. The high frequency image decomposed using new energy pixels of the window to window energy contribution rate of fusion rules, the low frequency part by using the correlation coefficient of the fusion strategy, finally has carried on the registration of simulation experiments in the Matlab environment, through the simulation experiments of fusion method in this paper can get the image fusion speed and high quality fast fusion image.
Small Target Detection based on Infrared Image Adaptive
Authors: Chen Hao , Zhang Hong , Yang Yifan , Yuan Ding 
Published: November 2017

Abstract
This paper studies the multi-resolution analysis of infrared image preprocessing method based on wavelet transform, wavelet transform infrared image of small target for pretreatment, after pretreatment suppressed image background clutter, improved signal to noise ratio. On this basis, studies based on infrared image sequences generated background Kalman filter and target detection algorithm, given the principle of the algorithm, time-domain method for generating fading background and moving object extraction methods such as recursive least squares method, and the experimental results show that the algorithm capable of detecting small targets in infrared images, with good results. based pretreatment small target motion continuity characteristics studied image sequences small moving target detection algorithm based on weighted dynamic programming, dynamic programming algorithm principle is given, analysis of the direct method and the accumulation of gray dynamic programming algorithm based on similar likelihood function for dynamic programming problems arise energy diffusion gives improved dynamic programming algorithm: weighted dynamic programming algorithm, the algorithm implementation steps, testing and experimental structure the results were analyzed, the results show that the algorithm for small moving target detection with good results. Finally, this paper studied the infrared image reject false target trajectory get the real target trajectory correlation method, so as to improve the detection rate and reduce the false alarm rate the purpose.
Adjustment of the Parallelism of two Mirrors for Wide Angle Divided Mirror Michelson Wind Imaging Interferometer
Authors: Lu Shaojun , Zhang Chunmin 
Published: November 2017

Abstract
Many ways have been developed to measure atmospheric winds by detecting the Doppler shifts of airglow emission lines. The Michelson Interferometer is widely used because of its simple principle. To get the Doppler shifts to calculate the wind velocity, researchers developed four-phase-step and divided mirror technology respectively. But they face challenges in many fields. So a wide angle Michelson Interferometer combining with divided mirror and phase stepping technique is used in this paper. A new algorithm is proposed in this paper to adjust the parallelism of the two mirrors for the Michelson Interferometer. Thus a high precision parallelism of the two mirrors can be obtained to get the phase shift and calculate wind velocity. The interval of the two mirrors has maximum difference less than one tenth wavelength. The experiments were performed in visible channel to prove the feasibility of this proposed algorithm. It can also be used in other fields demanding two surfaces parallel with high precision.
Cyber-Awareness Improvement Using Artificial Intelligence Techniques
Authors: Merat Soorena , Almuhtadi Wahab 
Published: November 2017

Abstract
The primary contribution of this experiment is the development of a framework on which a variety of multitasking processes can be mapped. A software model named SHOWAN is developed to represent, capture and learn the cyber awareness behavior of a computer process against multiple concurrent threads. At the beginning of the experiment, the examined process outperformed, and tended to manage numerous tasks poorly, but it gradually learned to handle fewer tasks and excelling in each of them.
The Bending Mode Control Method of AFS System Based on Preview Control
Authors: Lifu Li , Mingjun Yang , Jinyong Zhang 
Published: November 2017

Abstract
Due to the time-lag of both the mechanical transmission and controller area network (CAN) bus transmission of the Adaptive Front Lighting System (AFS), the actual bending angle of AFS invariably lags behind the steering-wheel angle, which not only makes the real-time response speed of the AFS system slow, but also makes the system stability and the active safety of the vehicle poor.
To solve the problem, firstly, the geometrical relations among safety braking distance and the rate of steering-wheel angle and turning radius of the vehicle are analyzed. Secondly, the mathematics model among these variables has been set up. Finally, in order to improve the road illumination of the curve, the control method of bending mode of AFS system based on preview control is proposed. Based on preview control algorithm, the simulation model of the AFS has been built as well as the AFS control experiment platform. After the comparison between preview control and servo control, it can be proved that the preview control method proposed is superior to traditional servo control in AFS system.
Automatic Fetal Organs Detection and Approximation in Ultrasound Image
Authors: Ma’sum M. Anwar , Jatmiko Wisnu , Wiweko Budi , Bowolaksono Anom 
Published: November 2017

Abstract
This paper proposed a system for detecting and approximating of a fetus in an ultrasound image. The fetal organs in the ultrasound image are detected using Multi Boundary Classifier based Adaboost.MH. The results of the fetal detection is then approximated Randomized Hough Transform and the whole showed a mean accuracy of 95.80%. The mean of the Hamming Error 0.019 and the Kappa coefficient value reaches 0.890.The proposed method has the best performancefor fetal organ detection. This is proven by the Hamming Error, the accuracy, and tthe Kappa Coefficient. The hitrate for fetal’s head, fetal’s femur, fetal’s humerus, and fetal’s abdomen are 95%, 97%, 97%, and 93% respectively. From the Experiment result, it is concluded that using detection by only usig the approximation method could not perform better than the previous methods.
Research of the Forklift Power-Assisted Steering System Based on Safety Steering Speed Control
Authors: He Yan , Xiao Benxian 
Published: November 2017

Abstract
Enhancing the safety of forklift power-assisted steering system is a problem urgently to be solved in practice. First of all, forklift power-assisted steering system model is established according to Lagrange dynamical equations, and three variable assistance characteristics curve fitted for reach trucks is designed combined with fuzzy control algorithm. Then sliding mode variable-structure control method based on motor current control is used tracking the target current and making contrast with the traditional PID in order to justify the validity of the algorithm. Finally, the expression of speed with tri-function is built. Optimization of safety speed is added on the basis of traditional power-assisted steering to ensure the stability and security of forklift steering.
In-Situ Test of Pressure Pipeline Vibration based on Data Acquisition and Signal Processing
Authors: Hou Huimin , Xu Cundong , Liu Hui , Wang Rongrong , Nie Junkun , Ding Lianying 
Published: November 2017

Abstract
Pipeline vibration of high frequency and large amplitude is an important factor that impacts the safe operation of pumping station and the efficiency of the pumps. Through conducting the vibration in-situ test of pipeline system in the pumping station, we can objectively analyze the mechanism of pipeline vibration and evaluate the stability of pipeline operation. By using DASP (data acquisition & signal processing) in the in-situ test on the 2# pipeline of the third pumping station in the general main line of Jingtaichuan electric-lifting irrigation project in Gansu Province (later known as “the general trunk third pumping station in Jingtai electric project”) and then adopting time-domain analysis and cross-spectrum analysis to deal with collected data, we can acquire the vibration state in different positions of pipeline. Tests have shown that, the application of DASP in the vibration test of pressure pipeline of the pumping station, compared to the traditional test systems, can not only obtain higher test accuracy and efficiency, but can also provide theory basis and technical support for solving the vibration problems of the same-type pipeline operation. It has a good promotion value in the engineering practice.
Transmission Power Control in Wireless Sensor Networks under the Minimum Connected Average Node Degree Constraint
Authors: Qiao Junfeng , Liu Sanyang , Qi Xiaogang , Zheng Gengzhong 
Published: November 2017

Abstract
As a branch of topology control, power control is of great importance to prolong the survival time of the network. A transmission power control algorithm is proposed under the minimum connected average node degree constraint in this paper. Using a Poisson point process in two dimensions, we derive an analytical expression that determines the required transmission range to achieve a specified connectivity probability for a given node density, and then the minimum connected average node degree is obtained. Based on the above results, an algorithm named MCAND is designed to achieve the given connected probability by adjusting the transmission power of each node dynamically, with the node degree equal to the minimum connected average node degree. Simulation results show that the performance of our algorithm is superior to that of the related algorithms based on node degree in terms of coverage and connectivity.
A Comparative Study in the Sensitivity of Optical Fiber Refractometers based on the Incorporation of Gold Nanoparticles Into Layer-by-Layer Films
Authors: Rivero Pedro J. , Hernaez Miguel , Goicoechea Javier , Matías Ignacio R. , Arregui Francisco J. 
Published: November 2017

Abstract
In this work, optical fiber refractometers based on the successive incorporation of gold nanoparticles have been fabricated by means of the Layer-by-Layer Embedding (LbL-E) deposition technique. This enables the apparition of two different optical phenomena, Localized Surface Plasmon Resonance (LSPR) and Lossy Mode Resonance (LMR). The absorption peaks related to both phenomena were captured during the fabrication process, showing a different evolution as a function of the resultant thickness coating. Initially, LSPR band is observed for thinner coatings, whereas multi- LMR bands are observed as the thickness coating is increased. In addition, the response of both phenomena to variations of the surrounding medium refractive index (SMRI) was monitored, studying their different sensitivities. LSPR band only shows intensity variation with negligible wavelength displacement whereas LMR bands present a strong wavelength response. The combination of both resonances opens the door in the design of self-referenced optical devices for sensing applications.
Line-of-Sight Based 3D Localization of Parallel Kinematic Mechanisms
Authors: Zhou Erkai , Zhu Mengzhe , Hong Alexander , Nejat Goldie , Benhabib Beno 
Published: November 2017

Abstract
Autonomous robots (manipulators or vehicles) may accumulate significant errors during their long-range motion to a desired position and orientation (pose). These errors, however, can be compensated for by subsequent local, short-range corrective actions to within random noise levels of the system. This paper presents a generic localization method for high-precision parallel kinematic mechanisms (PKMs) in order to allow them to accurately achieve their desired poses. The proposed method employs a novel non-contact spatial sensing technique combined with an iterative posecorrection procedure. The proposed sensing technique is based on the use of multiple spatial lines-of- sights (LOSs) emanating from a single source and ‘hitting’ a planar position sensitive detector (PSD) placed on the PKM’s platform. Using the positional feedback provided by the PSD, the instantaneous actual pose of the platform is accurately estimated. A pose-correction method is subsequently invoked to iteratively guide the platform to its desired location within noise levels. Extensive simulations were carried out to illustrate the effectiveness of the proposed localization method for a spatial PKM being developed in our laboratory.
Applications of Multi-Touch Tabletop Displays and Their Challenging Issues: An Overview
Authors: Ahsanullah  , Sulaiman Suziah , Mahmood Ahmad Kamil Bin , Khan Muzafar , Madni Mustafa 
Published: November 2017

Abstract
Multi-touch tabletop displays provide a co-located collaborative workspace for multiple users around a physical table. They sit together and perform collaborative interaction to select and manipulate digital contents using their bare fingers. However, these systems bring a new paradigm shift in user interaction and present various challenges to design natural user interfaces respectively. The growing popularity of tabletop displays and their related issues have gained a greater attention among researchers in academia and industry. It creates a need to present an overview of multi-touch tabletop displays. This review paper attempts to present the touch enabling technologies that support in the construction of multi-touch tabletop displays. It also presents the important applications of multi-touch tabletop displays in different domains and their challenging issues in different perspectives. Finally, this paper proposes the future work.
Design of Complicated Duplicate Image Representation Approach Based on Descriptor Learning
Authors: Wang Yongjiao , Du Xiaojie , Liang Lei 
Published: November 2017

Abstract
In order to solve the low discrimination of image representations in complicated duplicate image detection, this paper presents a complicated duplicate image representation approach based on descriptor learning. This approach firstly formulates objective function as minimizing empirical error on the labeled data. Then the tag matrix and the classification matrix of training dataset are brought into the objective function to ensure semantic similarity. Finally, by relaxing the constraints, we can get the learning hashes. The learning hashes are used to quantify local descriptors of images into binary codes and the frequency histograms of binary codes are as image representations. Experimental results demonstrate that compared with the state-of-the-art algorithms, this approach can effectively improve the discrimination of image presentations by introducing semantic information.
Design and Implementation Steganography System by using Visible Image
Authors: Jaheel HamdanLateef , Beiji Zou , Jaheel Ahmed Lteef 
Published: November 2017

Abstract
Steganography refers to the technique of concealing secret information into another covermedia, such as audio, video, image and text in such a manner that the very existence of the information is camouflaged while secret is kept from the knowing of attacker. Watermarking is closely related to Stenography except that it hides information in cover object. Watermarking usually serves the purpose of copyright protection and ownership authentication, for example, watermarking can hide a stego- image inside a visible image and user can retrieve the stego-image and secret image in some way. In this paper, we will integrate two algorithms of information hiding, (steganography) F4 algorithm and (visible image) LSB algorithm to improve the level of protection. The secret image is concealed inside a common image through F4 algorithm and the resultant F4 steg-image is then hidden again as a visible image or watermark inside another image by LSB algorithm. To provide more than one level of protection for the hidden message, we will require additional security level to protect the secret image, which leads to increased complexity of retrieving the secrete image. The results prove the success of system after the secret image is retrieved successfully. The value of MSE, SNR and PSNR is calculated, which refers to an acceptable steganography system.