bluuebunny/crossref_metadata_2025 huggingface dataset:
Small Target Detection based on Infrared Image Adaptive
Authors: Chen Hao , Zhang Hong , Yang Yifan , Yuan Ding
Published: November 2017

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

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

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

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

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

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

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

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

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

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

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

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

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.
Immersive Learning Support System based on Kinect Sensor for Children to Learn About Paleontological Environments
Authors: Nakayama T. , Yoshida R. , Nakadai T. , Ogitsu T. , Mizoguchi H. , Izuishi K. , Kusunoki F. , Muratsu K. , Egusa R. , Inagaki S.
Published: November 2017

This paper proposes a simulation-based environmental learning support system, based on Kinect sensors, which is currently under development. Our system animates paleontological animals and their habitats on a display in synchronization with learners’ actions, immersing learners in a real- life paleontological environment. We evaluated the system by recording real-time measurements of learners’ movements, and controlled the animation based on sensor output. Participants were subsequently interviewed to assess their sense of immersion. The system was found to provide a nearreal experience of a defunct environment and the results confirmed that learners felt a sense of immersion and experienced an enhanced interest.
Fusion Algorithm OF Optical Images and SAR With SVT and Sparse Representation
Authors: Zhouping Yin
Published: November 2017

Due to the different imaging mechanism of optical image and Synthetic Aperture Radar (SAR) image, they have the large different characteristics between the images, so fusing optical image and SAR image with image fusion technology could complement advantages and be able to better interpret the scenes information. A fusion algorithm of Synthetic Aperture Radar and optical image with fast sparse representation on low-frequency images was proposed. For the disadvantage of target information easily missing and the contrast low in fused image, and the fusion method with sparse representation could effectively retain target information of Synthetic Aperture Radar image, so the paper fuses low frequency images of Synthetic Aperture Radar and optical images using sparse representation. Moreover a new sparse coefficient fusion rules is proposed, and sparse decomposition process is improved to reduce the algorithm running time. Experimental results demonstrate the effectiveness of the algorithm.
An Energy Efficient Routing for Vehicular AD HOC Networks using Real-Time Perception of Node Information
Authors: Cui Zhongwei , Zhao Yong , Xu Daoyun , Zuo Yu
Published: November 2017

Integrating recent years’ results and analyzing the VANET (Vehicular ad hoc networks), taking the important role of mobile nodes into account a vehicular opportunity route based on real-time information (VORI) is proposed. VORI uses mobile nodes to collect real time area information, and construct hot area for best inter-area selecting with the information to help delivery message. VORI is consisting of node position query and data transmission. The limited query reduces the number of query copies within the net, and with dynamically selecting hot area message delivery works well.
Opposition-Based Learning Particle SWARM Optimization of Running Gait for Humanoid Robot
Authors: Yang Liang , Xijia Song , Deng Chunjian
Published: November 2017

This paper investigates the problem of running gait optimization for humanoid robot. In order to reduce energy consumption and guarantee the dynamic balance including both horizontal and vertical stability, a novel running gait generation based on opposition-based learning particle swarm optimization (PSO) is proposed which aims at high energy efficiency with better stability. In the proposed scheme of running gait generation, a population initiation policy based on domain knowledge is employed, which helps to guide searching direction guidance at the beginning. A population update mechanism based on opposition learning is proposed for speeding up the convergence and improving the diversity. Simulation results validate the proposed method.
Compressive Sensing by Colpitts Chaotic Oscillator for Image Sensors
Authors: Liu Li , Yang Peng , Zhang Jianguo , Wei Guifen
Published: November 2017

Compressive sensing uses simultaneous sensing and compression to provide an efficient image acquisition technique and it has been demonstrated in optical and electrical image sensors. To guarantee exact recovery from sparse measurements, specific sensing matrix, which satisfies the Restricted Isometry Property (RIP), should be well chosen. Toeplitz-structured chaotic sensing matrix constructed by Logistic map has been proved to satisfy RIP with high probability. In this paper, we propose that chaotic sequence sampled from Colpitts oscillator can also be used to generate Toeplitz- structured chaotic sensing matrix. Simulation results show that the proposed Colpitts chaotic sensing matrix has similar performance to random matrix or other chaotic matrix for exact reconstructing compressible signals and images from fewer measurements.
Identification and Detection of Defect in Metal Casing
Authors: Wu Yinchuan , Guo Baolong
Published: November 2017

Based on the propagation rules of electromagnetic waves in metal conductors, this paper analyzes the characteristics of electric field and magnetic field of internal conductors. Then the complex power of electromagnetic wave is calculated. The impedance calculation formula of metal conductor is derived. Moreover, in order to identify and detect defects of metal casing, an alternating current impedance measuring method for the metal casing is proposed by changing the alternating current frequency. Furthermore, a three-dimensional metal casing model is built in COMSOL. Both the electric field and magnetic field are numerically calculated for non-defective and defective casing separately. Meanwhile, the influence of casing defects on the electric field and magnetic field is analyzed. Finally, simulation and measurement results show that: casing defects can be quantitatively detected and effectively located by measuring the alternating impedance of the metal casing.
Modelling of Equipment Failure Rate Accounting for the Uncertainty
Authors: Tian H.X. , Wu W.F. , Wang P. , Li H.Z.
Published: November 2017

A fuzzy model for failure rate with the consideration of the effects of uncertain factors in distribution reliability evaluation is presented. The possibility and credibility distribution analyzed on the basis of sample datum are used for quantifying effects of the uncertainty done to failure rate. Mathematically, the failure rate can be obtained in the interval integration. Moreover, aiming to make the calculating quantity of system reliability evaluation simple and easy, the fuzzy clustering analysis of equipment is adopted. The technique proposed has been implemented in an example distribution system for illustration and the results obtained have been compared with those obtained with average model.
Neutrosophic Concept Lattice based Approach for Computing Human Activities from Contexts
Authors: Mittal Sangeeta , Gopal Krishna , Maskara S.L.
Published: November 2017

Complex human activity recognition suffers from ambiguity of interpretation problem. A novel neutrosophic formal concept analysis method has been proposed to quantify non-determinism leading to ambiguity of interpretation and utilize it in activity recognition. The method works by penalizing performance of non-deterministic activities and rewarding the deterministic ones. Thus, non- deterministic activities are identified during testing due to significantly reduced performance and contexts can be redesigned to improve their description. The proposed method has been implemented on benchmark dataset having both types of activities. Our approach successfully identified nondeterminism in activities description without compromising recognition performance of deterministic activities. It has also been shown that other approaches fail to identify non deterministic activities. Overall accuracy of activity recognition of our approach was comparable to other approaches.
Simulation of Noise Within BOTDA and Cotdr Systems to Study the Impact on Dynamic Sensing
Authors: Funnell Adam , Xu Xiaomin , Yan Jize , Soga Kenichi
Published: November 2017

Real-time structural health monitoring requires dynamic sensing of distributed strain and temperature. Brillouin Optical Time Domain Analysis (BOTDA) and Rayleigh Coherent Optical Time Domain Reflectometry (COTDR) are promising candidates to achieve dynamic sensing. A noise model with specific parametric simulation of independent laser and detector noise sources has been developed. Although ensemble averaging significantly enhances the signal-to-noise ratio (SNR) in both systems, its time-consuming accumulation procedure prevents dynamic sensing. The sequence of averaging in the signal processing workflow varies the SNR for both systems. The system components should be optimized to reduce averaging times and achieve the required system specifications, including dynamic sensing.
Design and Implementation of Intelligent Integrated Measuring and Controlling System for Sugar Cane Crystallization Process
Authors: Meng Yanmei , Zheng Kangyuan , Li Wenxing , Pang Haifeng , Lu Guancheng , Li Guangquan
Published: November 2017

The deficiency in existing sugar cane crystallization automatic control system is difficult to measure some key parameters on line, such as mother liquor supersaturation, mother liquor purity, crystal content and crystal size distribution. Controlling brix with PID can only reflect the massecuite concentration of sugar cane crystallization process, but it is hard to guarantee the crystal quality. During crystallization process, change of mother liquor purity will affect the crystallization rate and supersaturation. The less mother liquor purity in the final stage is, the better absorption of crystals have. Crystal size distribution, including mean area (MA) and coefficient of variation (CV), influences the quantity and quality of crystals. In order to produce sucrose which has uniform size and small coefficient of variation, it’s necessary to study the law of crystal size for sugar cane crystallization. According to the difficulties in measuring some key parameters, an intelligent integrated measuring and controlling system is researched by this paper. The overall structure of this system is designed at first, and also the monitoring system of host computer is developed. Combining with data-driven modeling and hybrid modeling method, the intelligent soft-sensor component for sugar cane crystallization process is implemented. This system realizes automatic monitoring of sugar cane crystallization process, which includes on-line measurement of mother liquor supersaturation, mother liquor purity, crystal content and crystal size distribution (CSD). Experimental results show that this designed intelligent integrated measuring and controlling system for sugar cane crystallization process has not only achieved great on-line prediction for immeasurable parameters, but also has good openness and scalability, which can provide complete parameter detection for the implementation of sugar cane crystallization automatic control system.
Computer Vision-Based Color Image Segmentation with Improved Kernel Clustering
Authors: Wang Yongqing , Wang and Chunxiang
Published: November 2017

Color image segmentation has been widely applied to diverse fields in the past decades for containing more information than gray ones, whose essence is a process of clustering according to the color of pixels. However, traditional clustering methods do not scale well with the number of data, which limits the ability of handling massive data effectively. We developed an improved kernel clustering algorithm for computing the different clusters of given color images in kernel-induced space for image segmentation. Compared to other popular algorithms, it has the competitive performances both on training time and accuracy. The experiments performed on both synthetic and real-world data sets demonstrate the validity of the proposed algorithm.
Research on Power Characteristic of the Electric Forklift EPS System
Authors: He Yan , Xiao Benxian
Published: November 2017

This paper has given the structure, operating principle, and force analysis of electric power steering (EPS) system aimed at a type of forklift. Combing with forklift operating characteristic, three variable power characteristics curve based on steering wheel torque, real-time speed, and load is designed, so is the three dimensional diagram of forklift power gradient by using fuzzy rule. The dynamic model of EPS system and two-degree-of-freedom linear model of forklift dynamics are established. This paper presents a simulation on the basis of three variable power characteristics and dynamic model. The results show that forklift EPS system can provide appropriate power according to the changes of speed and load. It also can meet the demands of coordination between steering portability and road sense.
Sensitivity Analysis of Hierarchical Hybrid Fuzzy - Neural Network
Authors: Haihua Xing , Xianchuan Yu , Dan Hu , Sha Dai
Published: November 2017

To identify the important attributes of complex system, which is high-dimensional and contain both discrete and continuous variables, this paper proposes a sensitivity analysis method of hierarchical hybrid fuzzy - neural network. We derive the sensitivity indexes of discrete and continuous variables through the differential method. To verify the effectiveness of our method, this study employed a man-made example and a remote sensing image classification example to test the performance of our method. The results show that our method can really identify the important variables of complex system and discover the relations between input and output variables; therefore, they can be applied to simplify the model and improve the classification accuracy of model.
A Method To Design Pid Controllers Using Frit-Pso
Authors: Azuma Takehito
Published: November 2017

This paper proposes the Fictitious Reference Iterative Tuning-Particle Swarm Optimization (FRIT-PSO) method to design PID controllers for feedback control systems. The proposed method is an offline PID parameter tuning method. Moreover it is not necessary to derive any mathematical models of objected control systems. The proposed method is demonstrated by comparing with the FRIT method in numerical examples and an experiment
Standard Arpu Calculation Improvement Using Artificial Intelligent Techniques
Authors: Merat Soorena , Almuhtadi Wahab
Published: November 2017

abstract

Recognizing how developing browsing behaviour could result in greater return for service providers through more efficient data usage without compromising Quality of Service (QoS), this paper proposes a new innovative model to describe the distribution and occurrence of behavioural errors in data usage models. We suggest: a) that the statistics of behavioural errors can be described in terms of locomotive inefficiencies, which increases error probability depending on the time elapsed since the last occurrence of an error; b) that the distribution of inter-error intervals can be approximated by power law and the relative number of errors. Comparing immersive similarities of data usage and foraging behaviours according to the Levy-Flight hypothesis, the length of the usage can be feasibly increased with less errors and eventually increase average revenue per user (ARPU). The validity of the concept is demonstrated with the aid of experimental data obtained from test software called Learn-2-Fly which sought to make browsing behaviours more efficient through user responses to stimuli created by an artificially intelligent engine. Although there were limitations on the scope of this test, a noticeable change in the user browse duration occurred over the duration of testing periods, with test subjects spending more time browsing and reacting to intended visual stimuli. The study establishes the opportunity to provide a higher quality of service to the end-user, whilst also offering a dynamic opportunity to increase revenue streams. Further consequences, refinements, and future works of the model are described in the body of the paper
The Implementation Of High Efficiency Wireless Sensor In Acoustic Object Tracking
Authors: Zhen ChengFang , LIU Wenyi , WEI Hanming
Published: November 2017

Energy control in Wireless Sensor Network is one of the most crucial technologies. Based on the acoustic object localization background, we designed a new structure of the sensor node to realize the energy efficiency in the power supply and artificial sleeping scheduling in this paper. The power control model is independent with data processing and control model and can separately realize the power supply for different part of the node. The node can transfer status according the different circumstance to minimize the energy consumption. Furthermore, a new synchronous sleeping/wake schedule mechanism in the medium access control layer is proposed. Sensor nodes can use the forwarding and listening status to schedule their better energy status on demanded. The experiment has been evaluated and analyzed in a test-bed. The result confirms the structure and the proposed mechanism are energy efficiency and gain better trade-off between the accuracy and efficiency
Cantilever Beam Based Piezoelectric Energy Harvester
Authors: Fenglin Yao , Wengjun Meng , Jie Zhao , Hang Yin
Published: November 2017

With the application of wireless sensor networks become widespread, supply energy for these wireless sensors proves to be a significant issue. Moreover, for the ambient vibration lies everywhere, the vibration can supply energy for the wireless sensor via energy harvester. The piezoelectric energy harvester becomes the research focus for the simple structure and higher energy conversion efficiency. Due to the transcendental equation in distributed parameter model, the numerical method is become powerful complement for theoretical and experimental method. This paper uses ANSYS to analyze the single piezoelectric cantilever in static analysis, model analysis, harmonic response analysis and mechanical-electrical coupling analysis. It analyzes the natural frequency and voltage effect from four aspects which are length to thickness ratio, length to width ratio, the substrate thickness to piezoelectric thickness ratio and seismic mass. Test and measurement for piezoelectric energy harvester is conduct on the testing platform. Macro cantilever beam piezoelectric energy harvester are tested and measured
Real-Time Forecasting Method of Urban Air Quality Based on Observation Sites and Thiessen Polygons
Authors: Liu Xuefeng , Ye Fenxiao , Liu Yuling , Xie Xiange , Fan Jingjing
Published: November 2017

This paper proposes a real-time urban air quality forecasting method based on monitoring sites and Thiessen polygon. Firstly, the concentration of pollutants affecting air quality is obtained through the real-time observations of the monitoring sites deployed in wireless sensor network, according to which the air quality index (AQI) can be calculated and air quality levels and categories can be graded. Then, Thiessen polygons are constructed based on the monitoring sites and the air quality conditions from the only site within any polygon will be the representative to that of any other points within this polygon. Finally, the monitoring sites and Thiessen polygons rendered with standard air quality colors will be visualized on a geographical map for the realization of real-time forecasting method taking Thiessen polygons as forecasting units. Taking Shanghai city as an example, a real-time and visualized air quality prediction platform has been constructed in downtown Shanghai city, the real-time visualization of urban air quality forecasting and early warnings under the constraints of Thiessen polygon have been realized
Exploring a lay Gestalt of schizophrenia? A Danish background population’s explanations on why and how first-episode schizophrenia patients’ narratives were intuitively sensed as contextually inappropriate
Authors: Petersen Charlotte
Published: November 2017

Background

Recent continental-phenomenological psychiatry emphasizes pragmatics or social and contextual inappropriateness as a core disorder of schizophrenia, which is potentially relevant to early identification and treatment.

Objective

However, there are hardly any studies that examine the background population’s sensitivity to inappropriateness in schizophrenia, even if “common” people, from a pragmatic perspective, are likely to be highly sensitive to cultural-conventional norms, including (in)appropriateness.

Method

One empirical evaluation of contextual (in)appropriateness in 10 narratives from first-episode schizophrenia patients and healthy controls, respectively, found that when a phenomenologically informed Danish population (n=157 high-school students; mean age, 18.5) was “blinded” to the control–patient status – that is, “anonymous” narratives of the wordless picture story Frog, Where Are You? – they consequently evaluated patient narratives as more inappropriate than appropriate and control narratives as more appropriate than inappropriate (significant with 0.007). Aiming to explore a potential pattern recognition, distinguishing patient from control narratives, the present study systematizes and discusses salient explanations from lay “experts” who almost consequently (80% to 100%) evaluated patient narratives as inappropriate and control narratives as appropriate (n=63 of 157).

Results

Explanations of inappropriateness concerned affective aspects (about how the patient felt or how the evaluators felt reading the narrative), formal aspects (about pauses, fluency, and brevity), and aspects about sense making (from lack of understanding to nonsense and strangeness).The background population may be sensitive to affective and formal inappropriateness, but only lay experts emphasize the lack of sense in the patients’ narratives.

Conclusion

Further studies might benefit from investigating whether early referrals from family, friends, or schoolteachers of their own accord thematize such inappropriateness aspects, and whether questionnaires targeting inappropriateness could be developed and used in the early identification of young people at risk.
Clinical use of second-generation antipsychotics in children
Authors: Kakko Kirsi , Pihlakoski Leena , Salmelin Raili , Keskinen Päivi , Puura Kaija , Tamminen Tuula
Published: November 2017

Background

The use of second-generation antipsychotic (SGA) medication among child and adolescent psychiatric patients has increased worldwide in recent years. The increase appears to have been more extensive in the USA than in European countries, but the tendency is similar. However, after a peak the use seems to have declined in the USA. Simultaneously with the increasing numbers, the duration of SGA use has lengthened, indications have broadened, and off-label use has increased. Despite existing follow-up recommendations and evidence for the metabolic adverse effects of SGAs in children, research evidence has not translated into clinical practice.

Objective

The aim of this study was to assess the clinical use and follow-up practices of SGA medication among child psychiatric patients of one university hospital in Finland.

Method

This retrospective patient report-based study was conducted at the Child Psychiatric Clinic of Tampere University Hospital, Finland. The study sample consisted of 133 patients who were younger than 13 years when initiating SGA treatment and had an ongoing SGA medication during the study period. The study sample was divided into two groups according to diagnosis to examine whether there were differences between patients with an autistic or a developmental disorder (F83-84) and patients with other psychiatric diagnoses.

Results:

This study showed that SGA use in children younger than 13 years was mainly off-label. Irrespective of diagnosis, the most common indication was aggression. Especially children with psychiatric diagnoses other than developmental disorders had multiple socio-demographic risk factors and adverse life experiences in their background. The follow-up practices were diverse and partly irregular.

Conclusions:

A need for systematic SGA monitoring practices and dialogue between the medical specialities treating children and their families is evident.
Population Variance Estimation Using Factor Type Imputation Method
Authors: Pandey Ranjita , Yadav Kalpana
Published: November 2017

We propose a variance estimator based on factor type imputation in the presence of non-response. Properties of the proposed classes of estimators are studied and their optimality conditions are derived. The proposed classes of facto r type ratio estimators are shown to be more efficient than some of the existing estimators, namely, the usual unbiased estimator of variance, ratio-type, dual to ratio type and ratio cum dual to ratio estimators. Their performances are assessed on the basis of relative efficiencies. Findings are illustrated based on a simulated and real data set.
On Asymmetry of Prediction Errors in Small Area Estimation
Authors: Żądło Tomasz
Published: November 2017

The mean squared error reflects only the average prediction accuracy while the distribution of squared prediction error is positively skewed. Hence, assessing or comparing accuracy based on the MSE (which is the mean of squared errors) is insufficient and even inadequate because we should be interested not only in the average but in the whole distribution of prediction errors. This is the reason why we propose to use different than MSE measures of prediction accuracy in small area estimation. In the prediction accuracy comparisons we take into account our proposal for the empirical best predictor, which is a generalization of the predictor presented by Molina and Rao (2010). The generalization results from the assumption of a longitudinal model and possible changes of the population and subpopulations in time.
An Additive Risks Regression Model for Middle-Censored Lifetime Data
Authors: Sankaran P. G. , Prasad S.
Published: November 2017

Middle-censoring refers to data arising in situations where the exact lifetime of study subjects becomes unobservable if it happens to fall in a random censoring interval. In the present paper we propose a semiparametric additive risks regression model for analysing middle-censored lifetime data arising from an unknown population. We estimate the regression parameters and the unknown baseline survival function by two different methods. The first method uses the martingale-based theory and the second method is an iterative method. We report simulation studies to assess the finite sample behaviour of the estimators. Then, we illustrate the utility of the model with a real life data set. The paper ends with a conclusion.
Option for Predicting the Czech Republic’S Foreign Trade Time Series as Components in Gross Domestic Product
Authors: Marek Luboš , Hronová Stanislava , Hindis Richard
Published: November 2017

This paper analyses the time series observed for the foreign trade of the Czech Republic (CR) and predictions in such series with the aid of the SARIMA and transfer-function models. Our goal is to find models suitable for describing the time series of the exports and imports of goods and services from/to the CR and to subsequently use these models for predictions in quarterly estimates of the gross domestic product (GDP) component resources and utilization. As a result we get suitable models with a time lag, and predictions in the time series of the CR exports and imports several months ahead.
Sample Allocation in Estimation of Proportion in a Finite Population Divided Among Two Strata
Authors: Sieradzki Dominik , Zieliński Wojciech
Published: November 2017

The problem of estimating a proportion of objects with a particular attribute in a finite population is considered. The classical estimator is compared with the estimator, which uses the information that the population is divided among two strata. Theoretical results are illustrated with a numerical example.
Remarks on the Estimation of Position Parameters
Authors: Domański Czesław
Published: November 2017

The article contains some theoretical remarks about selected models of position parameters estimation as well as numerical examples of the problem. We ask a question concerning the existence of possible measures of the quality of interval estimation and we mention some popular measures applied to the task. Point estimation is insufficient in practical problems and it is rather interval estimation that is in wide use. Too wide interval suggests that the information available is not sufficient to make a decision and that we should look for more information, perhaps by increasing the sample size.
Numerical simulation analysis of valve spool double-nozzle with abrasive flow
Authors: Li Junye , Wei Lili , Su Ningning , Meng Wenqing , Zhang Xinming
Published: November 2017

In order to study the numerical simulation of abrasive flow polishing small hole parts, the servo valve spool double nozzle parts were used as the research object, and the solid-liquid two-phase abrasive flow were used for numerical simulation, getting the dynamic pressure, velocity cloud and turbulent kinetic energy of the abrasive flow are obtained at different inlet velocities. Through the comparative analysis, the effect of the process parameters on the effect of the abrasive flow polishing small hole parts was obtained, which can provide a theoretical basis for the continuous improvement of the ultra-precision machining technology to promote the abrasive flow, so that the fatigue strength of the workpiece is improved, the reliability of the workpiece is enhanced and its service life is prolonged.
A new highly anti-interference regularization method for ill-posed problems
Authors: Zhuang Hai Liang , Chen Hai Bo
Published: November 2017

The solution of inverse problems has many applications in mathematical physics. Regularization methods can be applied to obtain the solution of ill-conditioned inverse problems by solving a family of neighboring well-posed problems. Thus, it is significant to investigate the regularization methods to increase the accuracy and efficiency of the solution of inverse problems. In this work, a new regularization filter and the related regularization method based on the singular system theory of compact operator are proposed to solve ill-posed problems. The Cauchy problem of Laplace equation of the first kind is a kind of well-known ill-posed problem. Numerical tests show that the proposed regularization method can solve the Cauchy problems more efficiently under a proper selection of regularization parameters. Numerical results also show that the proposed method is especially effective in solving ill-posed problems with big perturbations.
Design of magnetic coupling of continuous wave of measurement while drilling
Authors: Shi Rong , Gao Wenkai , Wang Lei , Wu Miao
Published: November 2017

According to the special working environment of drilling proposed design parameters of distance sleeve; The Ansoft Maxwell software is used to optimize the magnetic coupling, and the optimized design process is illustrated with an example; The torque is studied under different rotation angles; The effects of magnetic steel thickness, magnet thickness and magnetic pole number on torque are studied respectively; With the development of the rare earth permanent magnet material, it is imperative to apply the no leakage magnetic coupling to petroleum drilling.
Kinematic characteristics of hollow ball under different braking conditions
Authors: Augustaitis Aistis , Kulvietis Genadijus , Jurėnas Vytautas , Djokoto Sylvester
Published: November 2017

The purpose of this article is to evaluate smart fluids influence on braking properties for spherical piezo actuator and to determine the functions for rheological experimental graphs of chosen smart fluids. Braking action and motion are modeled using numerical method, which can also be called a stepped approximation. It can be done using Excel program, which can be found in typical Microsoft Office suite.