bluuebunny/crossref_metadata_2025 huggingface dataset:
Trajectory Adaptive Zpet Controller Without Factorization of Zeros for Non-Minimum Phase System In Application to Real-Time Digital Tracking Control of Electro-Hydraulic Actuator
Authors: Ishak Norlela , Tajjudin Mazidah , Ismail Hashimah , Sam Yahaya Md , Adnan Ramli
Published: February 2018

Electro-hydraulic actuators are very important tools for industrial processes because they provide linear movement, fast response and accurate positioning of heavy load. Recently, with the research and development of mathematics, control theory and basic theory of hydraulic, hydraulic control technology has been developed and has been widely used in many applications such as industrial automation and machining processes. Due to its applications, the highest performance of the electro-hydraulic actuators on position, motion or tracking is needed. Therefore, a suitable controller is required to improve the performance of the electro-hydraulic actuator. Most researchers have used advanced control approach to improve the motion or tracking control. Based on these problems, we had done a real-time digital tracking control studies on electro-hydraulic actuator using trajectory adaptive zero phase error tracking control (ZPETC) without factorization of zero polynomial algorithm. The control strategy uses a recursive least square parameters estimation that was done offline prior the actual control operation by taking advantage of the available known reference input. The experimental results obtained show significant tracking performance.
Research on Visual Navigation and Remote Monitoring Technology of Agricultural Robot
Authors: Wang Yuanjie , Yang Fuzeng , Wang Tao , Liu Qiang , Xu Xiudong
Published: February 2018

To solve the problems of instability of agricultural robot when avoiding obstacles, a kind of navigation method which combined monocular visual navigation technology and remote monitoring technology was proposed: using the centerline method to extract the navigation path to achieve visual navigation; the monitoring center received two-way real-time image signals of the agricultural robot, when the agricultural robot met the obstacle or other situations, the remote monitoring center would start the alarm, then the operators could send control signals through the monitoring software to implement manual intervention. The experiment showed that the system improved the reliability of the navigation.
Labeling of Human Motion Based on CBGA and Probabilistic Model
Authors: Hu Fuyuan , Wong Hau San
Published: February 2018

In this paper, we present a novel method for the labeling of human motion which uses Constraint-Based Genetic Algorithm (CBGA) to optimize the probabilistic model of body features and construct the set of conditional independence relations among the body features by a fitness function. The approach also allows the user to add custom rules to produce valid candidate solutions to achieve more accurate results with constraint-based genetic operators. Specifically, we design the fitness function using a probability model based on the decomposable triangle model(DTM), which is learned through the EM algorithm with the minimum description length (MDL) principle and CBGA algorithm to characterize the stochastic and dynamic relations of articulated human motions. We also extend these results to learning the probabilistic structure of human body to improve the labeling results, the handling of missing body parts, the integration of multi-frame information and the accuracy rates. Finally, we analyze the performance of our proposed approach and show that it outperforms most of the current state of the art methods on a set of motion captured walking, running and dancing sequences in terms of quality and robustness.
Metecloud: A Private Cloud Platform For Meteorological Data Storage Using Hadoop
Authors: Shengjun Xue , Xiaolong Xu , Delong Wang , Jie Zhang , Feng Ji
Published: February 2018

With the increasing popularity of open-source platform Hadoop, the meteorological industry is available to create a Meteorological Cloud (MeteCloud) platform to store and deploy applications. In this paper, we propose an idea to build the MeteCloud platform for meteorological departments using Hadoop. We also present a backup policy for meteorological data. In addition, one kind of storage process of the meteorological A-format file is presented. Furthermore, we experiment with one-year historical data on the platform by varying many related parameters such as the number of nodes, meteorological records and fields. Finally, the proposed MeteCloud platform proves to be efficient and suitable for the storage of meteorological data.
Application of Multi-Frequency Electromagnetic Profiling in Studying the Distribution of Bronze in Jinsha Ruin Worship
Authors: Zheng Wenfeng , Li Xiaolu , Lam Nina , Wang Xuben , Sun Zhangli , Liu Shan , Yao Jinmei
Published: February 2018

Like the Sanxingdui ruins, the Jinsha ruins are an important archaeological site in the Chengdu Plain. Excavation of these ruins may offer important evidence for the origins and evolution of the ancient Shu civilization. In order to protect historical relics during excavation, it is necessary to use a nondestructive approach when determining the distribution of those relics. Multi-frequency electromagnetic profiling is one nondestructive geophysical exploration technique. With this method, the metal bodies underground can be detected based on the different conductivities of rocks and minerals in the crust. In the present paper, multi-frequency electromagnetic profiling was used to study the distribution of bronze in the sacrifice area of the Jinsha ruins, and the data were processed with multi electromagnetic dipole forward modeling. The distribution of bronze derived from multifrequency electromagnetic profiling was in accordance with the results of site excavation, proving that multi-frequency electromagnetic profiling method is an effective and nondestructive means of assessing the distribution of bronze ware in archaeological ruins.
Triboacoustic Localization System For Mobile Device - Environmental Effects To Accuracy
Authors: Leong Yeng Weng , Seki Hiroaki , Kamiya Yoshitsugu , Hikizu Masatoshi
Published: February 2018

abstract

This paper simulates and discusses about the probable causes of error which might occur due to the environmental settings of the triboacoustic localization prototype previously developed. Erroneous conditions studied are sensor offsets and temperature mismatches while existing errors due to equation deficiencies are taken into considerations. Descriptions of the prototype’s hardware and combinational system functionality which is to be simulated is described prior to the simulation and experimental step. It was found through simulations and verified via experiments that some environmental settings do have a large impact upon final outcome ( x,y offset and z offset) while some have negligible effects to the final outcome( temperature).
Condition Based Preventive Maintenance Control Strategy Design
Authors: Su H. S. , Kang Y. Q.
Published: February 2018

abstract

Compared with time based maintenance (TBM), Condition based maintenance (CBM) can improved the availability of the devices and reduced the examining maintenance cost. However, CBM possibly arouse an unexpected interference on production process due to an unplanned maintenance activity in advance so that the stable-state operation of the system was influenced. As the system scale was larger, this accidental disturbance should not be ignored. Based on the viewpoint, we first constructed a full-life cycle four-state model of the device, and then simplified it as three-state model based on some practical considerations in this paper. On the basis of it, the paper analyzed its reliability operation characteristics as the checking items being constants, and then proposed a dynamic real-time iterative control strategy on the checking items according to the practical state of the devices under CBM, and investigated its availability and adaptability. Moreover, the paper still performed devices state evaluation, and analyzed the control error and the selection of control timing, and etc, which further expounded the availability of control strategy. In the end, the paper still conducted probability simulation on it, and some simulation experiments had been done. The related investigated results and the simulation results show that the proposed method in the paper is effective and available, and can ensure the system normal working not to be influenced by maintenance activities.
A Multi-Scheme Adaptive Routing Algorthm Based On Spray And Wait For Dalay Tolerant Networks
Authors: Li Jianbo , Jiang Shan , Song Youmei , Xu Jixing , Wang Yan
Published: February 2018

Delay tolerant networks (DTNs) are a type of emerging mobile wireless network that experience long delays, intermittent disruption, buffer space and energy limitations, node irregularities and frequent mobility. To this end, many protocols take advantage of the flooding mechanism to increase the probability of successful message transmission. However, sending too many copies of each message may result in large network overhead and communication cost. Based on the Spray and Wait (S&W) algorithm, we propose an improved Adaptive Spray and Wait scheme, named ASW, for different delay tolerant network scenes. In this paper, we define a hybrid utility metric combined with multiple variables, delivery probability and similarity. Then, we distribute message copies in accordance with the proportion of the utility value to optimize the delivery ratio. Extensive simulations have been conducted to verify the efficiency of our proposed algorithm. In addition to the comparison, the results also show that our proposed algorithm achieves a better performance in terms of the delivery ratio and average latency than the other three protocols
Electrodermal Activity-Based Feasibility Study On The Relationship Between Attention And Blinking
Authors: Yoshida Ryuichi , Sakai Tsugunosuke , Ishi Yuki , Nakayama Tomohiro , Ogitsu Takeki , Takemura Hiroshi , Yamaguchi Etsuji , Inagaki Shigenori , Takeda Yoshiaki , Namatame Miki , Sugimoto Masanori , Kusunoki Fusako , Mizoguchi Hiroshi
Published: February 2018

Various factors are believed to cause blinking. One of these factors is attention. However, the relationship between blinking and attention has not yet been elucidated. In this study, we focus on electrodermal activity (EDA) to demonstrate this relationship. EDA is an electrical phenomenon involving the glandular releasing of sweat that is caused by mental excitement or strain. We employ EDA to quantify attention as a means to elucidate the blinking–attention relationship. We conduct an experiment based on EDA and present the results to verify this relationship
Identification Of Electro-Hydraulic Actuator Using Fractional Model
Authors: Yusof Nuzaihan Mhd , Ishak Norlela , Adnan Ramli , Sam Yahaya Md. , Tajjudin Mazidah , Rahiman Mohd Hezri Fazalul
Published: February 2018

Electro-hydraulic actuator (EHA system) identification is to describe the characteristic of the system that useful for prediction or control system design. There are numerous methods of EHA modeling but there has not been much model using fractional-order (FO) model. In this work, integer-order (IO) model and FO model are developed to model EHA system. Output-error method is used as the estimator for both model. The coefficient of IO model was first estimated and using the estimated coefficient, the derivative order of FO model is estimated. These models has been validated by comparison of error, coefficient of determination (R2), mean square error (MSE) and correlation function. The results for the proposed model show improvement compared to the IO model.
Automatic Measurement Of Shape Parameters For Hydraulic Torque Converter
Authors: Zhang Haining , Bai Fu
Published: February 2018

In this paper, the automatic measurement method of the Hydraulic Torque Converter shape parameters is studied. Aiming at the defects of the traditional manual measurement method, the solution for measuring the shape parameters of Hydraulic Torque Converter with the automatic measurement system is proposed on the basis of in-depth analysis for the Hydraulic Torque Converter shape parameters’ characteristics. Automatic measurement system mainly contains two parts, the Hardware Measurement System and the Software Measurement System. The working principle of the automatic measurement system are as follows: firstly, as system starting, the arm upper Measuring Fixture put the Hydraulic Torque Converter work piece into the Measuring Fixture, and then the Measuring Fixture make the Pump Hub Axle and Cover Hub Axle of the measured work piece fixed; secondly, the measured work piece start to rotate, at the same times, s the work piece is measured by MARPOSS displacement sensor. The measuring stop as soon as the measured work piece completes rotating 360 degrees. Lastly, measurement data is collects by the Software Measurement System based on LabVIEW development platform using NI acquisition card. The Moving Average Filter and Butterworth approximation method is mainly used during processing the measurement data. The tolerance measuring value of each shape parameter can be obtained, after the measurement data processed. The external dimensions of the measured work piece have been qualified by the data obtained. Under practical test, this method fit the industrial production demand very well; it can help to improve the production efficiency greatly used in the industrial production
Analysis Of The Multi-Channel Three Dimensional Probability Csma Protocol With Monitoring Function For Wsn
Authors: Zhao Yifan , Zhou Shengjie , Ding Hongwei , Yang Zhijun , Liu Qianlin
Published: February 2018

For the wireless sensor networks (WSNs), MAC layer protocol, relating to system throughput, involving functions of system, concerning the consumption of system energy efficiency, etc. other system indicators, is very important. With the development of WSN, involving vary businesses, the amount and style of data which the sensor nodes detecting is large and divertive. Based on threedimensional probability CSMA protocol, the proposed protocol, multi-channel three-dimensional probability CSMA protocol with monitoring function (MATP-CSMA), is providing the sensor nodes owning different task with diversified throughput, meeting the quality of services (QoS) of diversiform business. The paper analyses the protocol from three aspects: the system throughput, system delay and energy efficiency. Through rigorous mathematical derivation, get the exact expression of relevant indicators; with the use of simulation tools, verify the accuracy of the model and expressions
Datasocket Technology And Its Application In Equipment Remote Condition Monitoring And Fault Diagnosis
Authors: Tao Wu , Zhihua Liu , Miaoyuan Liang
Published: February 2018

Virtual Instrument technology, based on DataSocket, is the product combined with computer technology, network communication technology and instrumentation technology. The paper has described some concepts about virtual instrument and LabVIEW. Now concerning the characteristic of equipment in grassroots units that equipment have diverse models and could be widespread distributed, and it could cause increasing difficulty of repair and maintenance about equipment. Thus, the paper proposed Virtual Instrument technology based on DataSocket and its application in equipment remote condition monitoring and fault diagnosis. DataSocket’s properties, structure and working principle were analyzed at the same time. By developing a set of equipment remote status monitoring and fault diagnosis system, the paper has tried to verify that the use of this technology can monitor real-time data and fault diagnosis
A Cost-Effective And Accurate Electrical Impedance Measurement Circuit Design For Sensors
Authors: Doyle Ciaran , Riordan Daniel , Walsh Joseph
Published: February 2018

A circuit design with bespoke control software is described which has delivered precision in electrical impedance measurements of ~ 10ppm, after calibration. It is low-cost and applicable to jobs such as direct measurement using a sensor whose resistance changes with some physical quantity of interest; calibration at end of line in the production of such sensors; or calibration of equipment which may be out of warranty. It was developed using resistance temperature detectors (RTDs)
Detecting Sybil Attacks In Wireless Sensor Networks Using Sequential Analysis
Authors: Vamsi P. Raghu , Kant Krishna
Published: February 2018

Wireless Sensor Networks (WSNs) suffer from many security attacks when deployed either in remote or hostile environments. Among possible attacks, the Sybil attack is one of the severe attacks in which malicious nodes report false identities and location information such that the remaining nodes believe that many nodes exist in their vicinity. The current study proposes a method for detecting Sybil attack using sequential analysis. This method works in two stages. First, it collects the evidences by observing neighboring node activities. Further, the collected evidences are consolidated to provide input to the second stage. In the second stage, collected evidences are validated using the sequential probability ratio test to decide whether the neighbor node is Sybil or benign. The proposed method has been evaluated using the network simulator ns-2. Simulation results show that the proposed method is robust in detecting Sybil attacks with very low false positive and false negative rates
A Machine Vision System For Estimation Of Theaflavins And Thearubigins In Orthodox Black Tea
Authors: Akuli Amitava , Pal Abhra , Bej Gopinath , Dey Tamal , Ghosh Arunangshu , Tudu Bipan , Bhattacharyya Nabarun , Bandyopadhyay Rajib
Published: February 2018

Orthodox black tea quality depends upon the amount of certain organic compounds present and out of these, theaflavins (TF) and thearubigins (TR) are the most important ones While TF is responsible for attractive golden colour, increased brightness and astringency in tea liquor, TR is reddish brown, reduces the brightness of tea liquor and contribute mostly for the ashy taste of the liquor with minor improvement in astringency. The rapid estimation of TF and TR thus may resolve the problem of certain uncertainty or ambiguity that may arise during quality assessment of tea by the tea tasters. In this paper, a new method for rapid measurement of concentration of TF and TR is described using a machine vision system taking images of tea liquor and employing artificial neural networks (ANN). The results show good correlation of estimated values of TF and TR with the actual concentrations obtained using ultraviolet-visible spectrophotometer (UV-VIS)
Acoustic Emission Based Defects Monitoring Of Threedimensional Braided Composites Using Wavelet Network
Authors: Hua Su , Tianyuan Zhang , Ning Zhang
Published: February 2018

In order to effectively differentiate all kinds of defects inside the composites, this paper carries out testing on the internal defects of three-dimensional (3d) braided composites by use of acoustic emission nondestructive detecting technology. It puts forward the processing method for acoustic emission signals for the internal defects of three-dimensional braided composites based on wavelet neural network (WNN). This method does wavelet transformation on real-time collected acoustic emission signals, takes the characteristics of internal defect energy to be obtained as network input, selects the wavelet neural network (WNN) with “compact” type and realizes the recognition on the classification of micro cracks and pores of 3d braided composites
Design Of Smart Robot For Wrist Rehabilitation
Authors: Aabdallah Ismail Ben , Bouteraa Yassine , Rekik Chokri
Published: February 2018

Generally, the rehabilitation process needs a physical interactions between patients and therapists. Based on the principles governing such human-human interactions (HHI), the design of rehabilitation robots received several attempts in order to abstract the HHI in human-robot interaction (HRI). To achieve this goal, the rehabilitation robot should be smart and provides a useful and comprehensive platform to track the patient status. In this paper, a biofeedback-based high fidelity smart robot for wrist rehabilitation is designed. This robot is intended for repetitive exercises without therapist intervention. Hold the two sets of wrist movement: flexion/extension and radial/ulnar derivation. Distinguished by its compact mechanism design, the developed wrist rehabilitation robot (HRR) offers high stiffness with a total absence of any friction and backlash. Based on EMG signal, the smart robot can understand the patient pain degree. Two features extractions are used to estimate the pain level. A fuzzy logic controller is implemented in the LabVIEW-based human-machine interface (HMI) to determine the desired angle and velocity in real time. Parameters and results of each exercise can be stored and operated later in analysis and evolution of patient progress
Measurement and Control System for Thermosolar Plant and Performance Comparison Between Traditional and Nanofluid Solar Thermal Collectors
Authors: Visconti P. , Primiceri P. , Costantini P. , Colangelo G. , Cavalera G.
Published: February 2018

Aim of this work is the design of a programmable electronic system for monitoring the environmental parameters and managing the electrical functions of a thermo-solar plant. The designed control unit detects data from temperature and light sensors, processes acquired information and commands external equipments (pumps, electric valves and power supplies) in order to optimize plant performances and maximize efficiency and energy savings. Recently several researches, in the field of solar thermal energy production, have demonstrated that nanofluid-based solar collectors present higher conversion efficiency. In this context, the designed control unit can be used to detect their operation parameters in order to compare the performances of nanofluidbased solar collector with those of traditional one. The electronic experimental setup is capable to monitor, at the same time, the two different types of solar collector in similar environmental conditions and to show on touch screen display the detected performances. In order to have reference data, experimental measurements have been carried out by using traditional water and Al2O3-based nanofluid thermo solar collectors. The obtained experimental data showed the benefit in terms of efficiency in the use of nanofluid as heat transfer fluid in such a system.
Evaluation of Hybrid Trust Models Using Ant Colony Optimization in Wireless Sensor Networks
Authors: Kumar G. Edwin Prem , Baskaran K. , Blessing R. Elijah , Lydia M.
Published: February 2018

Wireless sensor networks (WSNs) are prone to various kinds of threats and are subjected to several constraints like energy, communication overhead and lifetime. Application of bio-inspired algorithms based trust models has shown significant improvement in the security mechanism of the wireless sensor networks. This paper presents a brief survey on application of Ant Colony Optimization (ACO) and significance of trust models in WSNs. ACO application in routing, increase in lifetime, energy efficiency, intrusion detection and security has been presented. The performance of three hybrid trust models is evaluated based on the path length, trust calculation and energy consumption using ACO.
Structural Desigh and Motion Analysis of Universal Mobile Quadruped Robot
Authors: Xiong Wang
Published: February 2018

According to bionics and simplified octopus structure, this paper designed a universal mobile quadruped robot and adopted Denavit-Hartenberg system to analyze the single leg kinematics of a robot, obtaining its kinematics equation. Also, through the method of separating variables, this paper solved its inverse kinematics and got the joint angle. A walking gait is planned and the joint angle of vertical pendulum stance phase and swing phase of the robot in walking are calculated. MATLAB is used to simulate the relevant joint angles of the robot, so as to analyze its movement change. Experimental results further verified the universal motion of robots.
A Novel Hybrid Localization Method for Wireless Sensor Network
Authors: Jun Wang , Fu Zhang , Tiansi Ren , Xun Chen , Gang Liu
Published: February 2018

Wireless sensor network is a kind of brand-new information acquisition platform, which is realized by the introduction of self-organizing and auto-configuration mechanisms. Node localization technology represents a crucial component of wireless sensor network. In this paper, a localization method based on kernel principal component analysis and particle swarm optimization back propagation algorithm is carefully discussed. First of all, taking KPCA as the front-end system to extract the main components of the localization information, and then regarding the nonlinear principal components extracted from distance vectors as the input samples, and meanwhile taking the coordinates of vertices in addition to the region boundary as the output samples, the PSO-BP neural network is trained to achieve the localization model. Finally the localization of unknown nodes can be estimated. The simulation experiment result showed that the method has high ability of stability and precision, and meets the practical need of localization.
A Real-time Pedestrian Detection System in Street Scene
Authors: Guo Ai-ying , Xu Mei-hua , Ran Feng , Wang Qi
Published: February 2018

Pedestrian detection is the key technology in Advanced Driver Assistant System (ADAS).Until recently, pedestrian detection, which is realized as the vehicle equipment, still doesn’t have the mature product. So, this thesis proposes a novel pedestrian detection system on board with the E-HOG (Histogram of Gradient) IP (intellectual property), can be used as the real time vehicle equipment. Three contributions are made in this thesis. Firstly, Sobel operator cascaded Uniform Local Binary Pattern (LBP) and E-HOG is the novel structure of pedestrian detection system. The Sobel operator gives the sliding step of Uniform LBP detection window, without using the results of LBP detection window. Through this operation, the detection speed will be improved. Second, the vehicle equipment of pedestrian detection is self-developed using FPGA as core devices. Third, E-HOG IP, which is promoted based on the HOG, can extract pedestrian or other objects feature. Without sacrifice of accuracy, this pedestrian detection on board deals with 30 fps (640x480 pixels) and can be used as the real-time detection system.
Research on Distributed Data Storage based on Information Processing Cloud
Authors: Qing-Yun LUO , Ling-Zhi ZHU , Yun-Jie CHAGN , Jin-Guo ZHAO , Wei-Sheng LIAO , Rui HE
Published: February 2018

Sensor network is a data-centric network, which provides data collection, storage and query services. Data storage and query is one of the hot spot in the research of sensor networks. In order to solve the problem of low efficiency of storage and query, high energy consumption in sensor networks, we put forward a scheme that storing distributed data of wireless sensor network based on information processing cloud. Information processing cloud is made up of a group of sensor nodes around the network center, which have the ability to absorb and process data from other nodes of sensor network which do not belong to the information processing cloud. The group of sensor nodes around the network center respond data query requests from anywhere of the network, and sensor nodes can be adjusted dynamically according to real situation, the cloud of nodes and non-cloud of nodes can be dynamically transformed as well. When non-cloud of sensor nodes store data or send query request, they only need to do centripetal movement, centrifugal movement or circumfusing movement. The analysis shows that the proposed scheme can simplify route algorithm of data storage and data query, and it also has less computation cost and storage cost than the existing schemes.
Quantitative Feedback Theory-Based Robust Control for a Spindle of Lathe Machine
Authors: Khairudin M.
Published: February 2018

This paper presents theoritical and experimental design of a robust control based on quantitative feedback theory (QFT) approach to control deepness variations on cutting process for a spindle of lathe machine. The dynamics of a spindle is uncertain and varying due to deepness variation on cutting process. Practical design steps are explained in which QFT based conditions are assembled to obtain a compensator and pre-filter gain to control a spindle. The robust controller show an advantage control the system under various cutting conditions. The performances of the proposed controller are evaluated in terms of input tracking capability of the spindle responses and speed responses of a spindle incorporating deepness on cutting process. Experimental results show that QFT based robust control provides the improvement of robustness and performances.
An Intelligent Feature Selection and Classification Method Based on Hybrid ABC–SVM
Authors: Li Jie , Zhang Qiuwen , Yongzhi Zhang , Chang Li , Jian Xiao
Published: February 2018

This paper presents a new approach to feature selection and classifcation based on support vector machine and hybrid artificial bee colony. The approach consists of two stages. At the first stage, this paper presented a hybrid artificial bee colony-based classifier model that combines artificial bee colony to improve classification accuracy with the most superior model parameter and features were selected from the original feature set. The classification accuracy and the feature subset provided by the SVM classifier are both considered to update the food source. Finally, the most superior features and optimal model parameter are fed into SVM to identify different class. The testing results verify the effectiveness of the method in extracting feature subset and pattern classification
AMI Based Sensing Architecture for Smart Grid in IPV6 Networks
Authors: Peng Wang , Fei Su , bohong Hu , wenpeng Luan
Published: February 2018

Advanced Metering Infrastructure (AMI) is a key part in the development of the smart grid, which integrates automatic meter reading, distribution automation, user data analysis, as well as realtime price adjustment functions. Existing AMI can offer good support for smart grid backbone. However, it still has some shortages when sensing the electric meter data acquisition, electric devices, and etc. Due to the vast number of meters, the use of IPv6 technology in AMI is an inevitable trend. Sensing architecture based on IPv6 can help AMI be aware of communication network topology and the access time of electrical devices, and calculate real-time electricity billing. Smart meter data is collected using cognitive architecture so that it would be more accurate and meaningful. In this paper, we firstly introduce the basic architecture of AMI, including master station system, smart meters and the key technologies of communication network. And then, for the existing AMI architecture, we analyze the current situation and challenges in the aspect of perception. Finally an AMI sensing architecture based on 6LowPAN and Mesh is proposed. Experiments show that the architecture can not only improve the accuracy of the meter data, but also sense the temporary access devices. As a result, the structure is feasible and could earn more commercial benifit.
A Blind Assessment Method of Image Compression Quality Based on Image Variance
Authors: Zhou Qun , Liu Xiongwei
Published: February 2018

The assessment of image compression result can not only evaluate the quality of image compression results and to a certain extent, can also find the advantages and drawbacks of various compression methods. At the same time, it can provide a reference for the compressed image restoration. Firstly, the classification and shortages of image quality assessment methods are presented. Then, several objective assessment methods usually used for image compression quality are introduced and the recent research progresses are shown. Finally, in view of the shortages of traditional image assessment methods and the existing blind assessment methods, based on image invariance, we propose a blind assessment method of image compression quality by considering the edge detail recovery and artifact removing. Compared with the traditional blind assessment methods, our method is simple in form and evaluation system is easily implemented. The experimental results also show that it is reasonable and effective.
Research of Dual Watermarking Technology for Digital Image
Authors: Yinglan Fang , Bing Han , Yongmei Zhang , Lin Tian
Published: February 2018

Digital image watermark has been studied as object. It analyzed the typical digital watermark algorithms based on the space domain and transform domain and key researched watermarking algorithm based on discrete wavelet transform. It has designed and improved blind watermarking algorithm and color image watermarking algorithm. Finally, based on the two improved watermarking algorithm, it has designed a dual watermarking algorithm. Both are separated but related. It authenticates dual watermarking algorithm in addition to subjective visual evaluation, but also use numerical objective evaluation and quantitative analysis. Experimental results show that this dual watermarking algorithm combines with robustness and concealment.
The Mesostigmatid Mite Protogamasellus mica, an Effective Predator of Free-Living and Plant-Parasitic Nematodes
Authors: Stirling Graham R. , Stirling A. Marcelle , Walter David E.
Published: February 2018

Protogamasellus mica was extracted from a sugarcane field in Australia and cultured on bacterial-feeding nematodes. Studies with various nematodes in laboratory arenas showed that one mite and its progeny reduced nematode numbers by between 26 and 50 nematodes/day. A bacterivore (Mesorhabditis sp.), a fungivore (Aphelenchus avenae), and two plant parasites (root-knot nematode, Meloidogyne javanica and root-lesion nematode, Pratylenchus zeae) were all reduced at much the same rate despite the fact that the nematodes are quite different in size and motility and belong to different trophic groups. When sugarcane was grown in the greenhouse for 8 wk, stunt nematode (Tylenchorhynchus annulatus), a plant parasite that feeds ectoparasitically on roots, was almost eliminated from pots inoculated with the mite, and numbers of microbivores and root-lesion nematode were markedly reduced. Huge reductions in nematode populations were also observed when mites were added to microcosms containing small quantities of defaunated soil. These results show that P. mica multiplies rapidly when nematodes are available as a food source and has the capacity to play a role in regulating populations of both plant-parasitic and free-living nematodes. Future research should focus on understanding the crop and soil management practices required to enable this mite and other predatory species to thrive.
Measurement of intraocular pressure in clinically normal Turkish Shepherd Dogs with the rebound tonometer (TonoVet®) and the applanation tonometer (Tono-Pen Vet®)
Authors: KULUALP KADRI , YURDAKUL İBRAHIM , EROL HANIFI , ATALAN GÜLTEKIN , KILIC SERVET
Published: February 2018

The current study was undertaken to establish reference values of intraocular pressure in clinically normal Turkish Shepherd Dogs with the rebound tonometer (TonoVet®) and the applanation tonometer (Tono-Pen Vet®). Twenty-eight dogs (14 male and 14 female, aged 9 months-9 years, 56 eyes) were used in this study. All animals were healthy and showed no abnormalities in ophthalmic examinations, which consisted of the Schirmer tear test, slit lamp bio-microscopy, and fluorescein staining. The animals were restrained manually without using systemic anesthetics or tranquilizers. IOP was measured in both eyes with a TonoVet® and a Tono-Pen Vet®. In normal dogs, the mean IOP values for all eyes were 17.63±3.34 mmHg according to the TonoVet® and 14.95±2.92 mmHg according to the Tono-Pen Vet®. There was no effect of sex, age, or eye side (right vs. left) on the results obtained with either the TonoVet® or the Tono-Pen Vet®. The mean IOP obtained with the rebound tonometer was 2-3 mmHg higher than that measured with the applanation tonometer. The reference data obtained in the present study may assist in diagnostic testing for ophthalmic diseases in Turkish Shepherd Dogs and may promote further studies in this area..
Türkiye’deki Üstün Yetenekli Öğrencilerin Psikolojik Danışma ve Rehberlik İhtiyaçları
Authors: ALTUN Fatma , YAZICI Hikmet
Published: February 2018

Bu çalışmanın temel amacı üstün
yetenekli tanısı alan öğrencilerin psikolojik danışma ve rehberlik (PDR)
alanında yaşadıkları sorunların ebeveyn görüşlerine dayalı olarak
belirlenmesidir. Ayrıca üstün yeteneklilerin PDR ihtiyaçlarında çocuğun yaş ve
cinsiyetinin etkileşiminin etkisi, ebeveynlerin cinsiyetleri ve eğitim
durumlarına göre algılanan problem durumlarında farklılaşma olup olmadığı da bu
çalışmanın alt amaçları arasındadır. Araştırma grubunu, Türkiye’nin 12
bölgesinde yer alan 24 BİLSEM’e kayıtlı öğrencilerin ebeveynleri arasından
seçilen 606 kişi (320 Anne, 286 Baba) oluşturmaktadır. Araştırmanın verileri
Üstün Yetenekliler İçin Problem Tarama Envanteri ve Bilgi Formu ile
toplanmıştır. Elde edilen bulgulara göre; ebeveynler çocuklarının kişisel
özellikleri, okul yaşantıları ve aile ilişkileri alanlarında belirgin sorunlar
yaşadıklarını ifade etmişlerdir. Öğrencilerin PDR hizmetlerine duydukları
ihtiyaçlar yaş ve cinsiyet etkileşimine
bağlı olarak farklılaşmaktadır. İhtiyaçların türü konusunda ebeveyn cinsiyetine
bağlı anlamlı farka rastlanmamışken, eğitim düzeyine dayalı fark tespit
edilmiştir.  Bu çalışma ile
Türkiye’deki üstün yetenekli öğrencilerin PDR alanındaki öncelikli ihtiyaçları
tespit edilmiş ve bunların bazı değişkenlerde göre farklılaştığı saptanmıştır.
Spatio-temporal changes in evapotranspiration over China using GLEAM_V3.0a products (1980–2014)
Authors: Yang Xiuqin , Yong Bin , Yin Yixing , Zhang Yuqing
Published: February 2018

This study used land evapotranspiration (ET) values from 61 ChinaFLUX eddy covariance (EC) sites and water-balanced derived ET in ten basins to investigate the performance of Global Land Evaporation Amsterdam Model (GLEAM) V3.0a ET estimates (i.e., ETG) over China. We quantified the spatio-temporal characteristics of ETG and the impact of precipitation (P) and potential ET (ETP) on ETG. ETG was appropriate for estimating daily, seasonal, and annual ET rates. The mean annual ETG increased progressively from the northwest to southeast of China. Domain-averaged annual ETG over China was 421.90 mm year−1 during 1980 to 2014. The spatial patterns of ETG were in accordance with those of annual precipitation. Low ETG values occurred in the Northwest River Basin, and relatively high ET values were found across southern China. ETG showed the highest annual variation in the Northwest River Basin and low variation in the southwest region, which captured seasonal variations with maxima in summer and minima in winter. The inter-annual variation of annual ETG and ETP differed significantly from 1980 to 2014, yielding prominent spatial variability around −16.50 to 9.10 mm year−2 and −1.90 to 4.70 mm year−2, respectively. Annual ETG is correlated well with P and ETP at each site.
Comparative study on long term climate data sources over South Korea
Authors: Kim Dong-Ik , Han Dawei
Published: February 2018

Long term climate data are vitally important in reliably assessing water resources and water related hazards, but in-situ observations are generally sparse in space and limited in time. Although there are several global datasets available as substitutes, there is a lack of comparative studies about their suitability in different parts of the world. In this study, to find out the reliable century-long climate dataset in South Korea, we first evaluate multi-decadal reanalyses (ERA-20 cm, ERA-20c, ERA-40 and NOAA 20th century reanalysis (20CR)) and gridded observations (CRUv3.23 and GPCCv7) for monthly mean precipitation and temperature. In the temporal and statistical comparisons, CRUv3.23 and GPCCv7 for precipitation and ERA-40 for temperature perform the best, and ERA-20c and 20CR also indicate meaningful agreements. For ERA-20 cm, it has only a statistical agreement, but the mean has the difficulty in representing its ensemble. This paper also shows that the applicability of each dataset may vary by region and all products should be locally adjusted before being applied in climate impact assessments. These findings not only help to fill in the knowledge gaps about these datasets in South Korea but also provide a useful guideline for the applicability of the global datasets in different parts of the world.
Flakes Size-Dependent Optical and Electrochemical Properties of MoS2
Authors: Abdelaziz Aboelazm Eslam Atef , Mohammed Ali Gomaa Abdelgawad , Algarni Hamed , Chong Kwok Feng
Published: February 2018

Background:

Molybdenum disulfide (MoS2) is a transition metal dichalcogenides and has
some interesting and promising properties. MoS2 has direct and indirect band gaps depending on its
crystalline structure. In addition, its sheets morphology makes it a good candidate for supercapacitor
applications.

Objective:

The aim of this work is to study the effect of MoS2 flakes size on its optical and electrochemical
properties.

Method:

MoS2 with different flakes sizes were prepared by exfoliation method. The exfoliation was
performed by sonication of MoS2 powder in N,N-Dimethylformamide followed by different centrifugation
speeds. UV-Vis spectra illustrated the optical energy gap was inversely proportional to
the MoS2 flakes size.

Results:

Absorption coefficient values indicated that the exfoliation reduced the number of layers.
Symmetric supercapacitor was made from two MoS2 electrodes and tested in 6 M KOH electrolyte.
The specific capacitance was found to be dramatically increased with decreasing flakes size (9.5 and
4.5 mF/cm2 for 0.26 and 0.98 µm flakes size, respectively).

Conclusion:

These findings recommend that MoS2 can be the excellent electrode material for supercapacitor.
Computational Study of the Binding Modes of Diverse DPN Analogues on Estrogen Receptors (ER) and the Biological Evaluation of a New Potential Antiestrogenic Ligand
Authors: Martinez-Archundia M. , García-Vázquez J.B. , Colin-Astudillo B. , Bello M. , Prestegui-Martel B. , Chavez-Blanco A. , Dueñas-González A. , Fragoso-Vázquez M.J. , Mendieta-Wejebe J. , Abarca-Rojano E. , Ordaz-Rosado D. , García-Becerra R. , Castillo-Bautista D. , Correa Basurto J.
Published: February 2018

Estrogen (17β-estradiol) is essential for normal growth and differentiation in the mammary gland. In the last
three decades, previous investigations have revealed that Estrogen Receptor Alpha (ERα) plays a critical role in breast
cancer. More recently, observations regarding the widespread expression of ERβ-like proteins in normal and neoplastic
mammary tissues have suggested that ERβ is also involved in the mentioned pathology. Design of new drugs both steroidal
and nonsteroidal that target any of these receptors represents a promise to treat breast cancer although it remains a
challenge due to the sequence similarity between their catalytic domains.

In this work, we propose a new set of compounds that could effectively target the estrogen receptors ERα and ERβ.
These ligands were designed based on the chemical structure of the ERβ-selective agonist Diarylpropionitrile (DPN).
The designed ligands were submitted to in silico ADMET studies, yielding in a filtered list of ligands that showed better
drug-like properties. Molecular dynamics simulations of both estrogen receptors and docking analysis were carried-out
employing the designed compounds, from which two were chosen due to their promising characteristics retrieved from
theoretical results (docking analysis or targeting receptor predictions). They were chemically synthetized and during the
process, two precursor ligands were also obtained.

These four ligands were subjected to biological studies from which it could be detected that compound mol60b
dislplayed inhibito
Cretaceous Reverie: Review of Birds of Stone: Chinese Avian Fossils from the Age of Dinosaurs by Luis M. Chiappe and Meng Qingjin1
Authors: Feduccia Alan
Published: February 2018

Birds of Stone contains a portfolio of outstanding photographs of the spectacularly preserved Jehol bird fossils, from the Chinese Lower Cretaceous, and other pertinent vertebrate fossils of varying ages, along with comments on each fossil. The book nicely illustrates a range of species of the radiation of enantiornithines (opposite birds), the dominant Mesozoic landbirds, as well as the ornithuromorphs, the Mesozoic antecedents of the modern neornithine birds. Although the first section of the book is fairly straight forward, the second section, on bird origins and their early evolution is one-sided, presenting only the popular paleontological view and omits discussion of controversial subjects. Examples are the highly speculative presence of dinosaur protofeathers and improbable scenarios of flight origins. There are no citations of the numerous credible opposing views in the literature.
The Potential of Ganoderma Lucidum as Antimicrobial Agent for Multidrug- Resistant Mycobacterium Tuberculosis
Authors: Erawati Meira , Andriany Megah , Kusumaningrum Niken Safitri Dyan
Published: February 2018

Background:

The problem of bacterial resistance of Mycobacterium tuberculosis should be solved
by seeking for alternative substances that potentially inhibit the growth or kill the bacteria. Ganoderma lucidum
is one type of fungus which is potential to be an antimicrobial agent. This study aimed to determine the potential
of G. lucidum on inhibiting the growth of multidrug-resistant bacteria of M. tuberculosis in vitro.

Methods:

This study used a solid dilution method to test the extract of G. lucidum as an antibacterial agent.

Results and Conclusion:

Results showed that all strains of multidrug-resistant tuberculosis (MDR-Tb) gave
similar responses to G. lucidum extract at various concentrations. The bacteria did not grow on the medium
containing G. lucidum extract at the smallest concentration of 12.5%, as well as concentrations of 25% and
50%. Ganoderma lucidum can be used as one of the alternatives for MDR-Tb drugs in the future.
A alma, o antigo e o novo
Authors: Souza Ricardo Pires de
Published: February 2018

O que é a alma? O que é essa experiência por meio da qual e "dentro" da qual temos sensações, sentimos, pensamos, intuímos, amamos, sofremos, vivemos? O que é isso que chamamos todos os dias de "eu", mas que também - lá no fundo - percebemos que é mais do que aquilo que conseguimos apreender a respeito de nós mesmos, ou seja, mais do que o "eu"? Diuturnamente nos relacionamos com e experimentamos nossa própria existência: por vezes isso é bom, outras vezes nem tanto.