bluuebunny/crossref_metadata_2025 huggingface dataset:
Data Fusion Algorithm of Fault Diagnosis Considering Sensor Measurement Uncertainty
Authors: Xiaobin Xu , Zhe Zhou , Chenglin Wen
Published: February 2018

This paper presents data fusion algorithm of fault diagnosis considering sensor measurement uncertainty. Random-fuzzy variables (RFV) are used to model testing patterns (TPs) and fault template patterns (FTPs) respectively according to on-line sensor monitoring data and typical historical sensor data reflecting every fault mode. A similarity measure is given to calculate matching degree between a TP and each FTP in fault database such that Basic Probability Assignment (BPA) can be obtained by normalizing matching degree. Several BPAs provided by many sensor sources are fused by Dempster’s rule of combination. A diagnosis decision-making can be done according to the fusion results. Finally, the diagnosis examples of machine rotor system with vibration sensors show that the proposed method can enhance accuracy and reliability of data fusion-based diagnosis system.
De-Noising Signal of The Quartz Flexural Accelerometer by Multiwavelet Shrinkage
Authors: Chihang Zhao , Xin Zhong , Qian Dang , Liye Zhao
Published: February 2018

Methods of de-noising the output signal of the JSD-I/A quartz flexural accelerometer based on five types of multiwavelets are comparatively investigated in this paper. Firstly, the theory of multiwavelet transform and the generalized cross validation criterion are analyzed. Secondly, because the JSD-I/A quartz flexural accelerometer which is fixed in SCT-1 two-axis rotation platform by the appropriative clamp has a start-up procedure of 3 minutes, the output signal of the quartz flexural accelerometer are sampled after applying the voltage for 5 minutes. Thirdly, based on the soft threshold function and the universal threshold, GHM orthogonal multiwavelet, SA4 orthogonal multiwavelet, CL orthogonal multiwavelet, Cardbal2 balanced multiwavelet and BIGHM biorthogonal multiwavelet are applied to de-noise the sampled signal of the JSD-I/A quartz flexural accelerometer with 4 decomposition level, respectively. Lastly, the generalized cross validation criterion is used to evaluate the de-noising effects of the above five multiwavelets. The experimental results shows that the generalized cross validation value of BIGHM biorthogonal multiwavelet is effective in de-nosing the the output signal of the JSD-I/A quartz flexural accelerometer, and offer the best performance than GHM orthogonal multiwavelet, SA4 orthogonal multiwavelet, CL orthogonal multiwavelet and Cardbal2 balanced multiwavelet.
A Wsn-Based On-Line Working Condition Monitoring System For Large Electrical Equipment
Authors: Chen Xuejun , Yang Yongming
Published: February 2018

To solve the problems of traditional wired on-line monitoring system which has lines too much, cost too high, fault diagnosing and maintaining difficulties and so on, an on-line working condition monitoring system for large electrical equipment based on wireless sensor network (WSN) is proposed, designed and implemented. CC2431 chips were used for hardware design of wireless sensor network node and base station, and the TinyOS transplanted into the sensor nodes and base stations are discussed in detail. Then, a management software system based on LabVIEW and database programming technique is proposed and implemented. The experiment results show that the system can satisfy the needs for real-time data gathering, data storage, data curve drawing, low power consumption, wide coverage, no region limitation. It’s a good operation performance.
A Simple Scheme for Location and Distance Estimation of Wireless Sensor Nodes In Outdoor Environments
Authors: Dubey Tarun , Sahu O.P.
Published: February 2018

In this paper we suggest a simple, practical and cost effective localization scheme that can be used to manually deploy wireless sensors to form wireless sensor networks (WSNs). We test our scheme exclusively in outdoor environments using commercially available IRIS XM2110 sensor motes. The location discovery of sensor motes deployed in outdoor environments is obtained in accordance with geographical latitude and longitude. The distance between the deployed sensor motes is also computed using the Haversine formula. The proposed scheme is the outcome of experiments performed on data visualization and monitoring tool Mote View 2.0.F developed by Crossbow Technology™. The proposed scheme is easy to implement and requires less number of sensor motes as compared to other manual deployment based schemes. The visualization of location is validated on Google earth geographical information program.
Pure and Cupricated BaSnO3 thick film resistor: Synthesis, Characterization and studies on its gas sensing performance
Authors: Patil N.U. , Gaikwad V.B. , Hire P.D. , Chaudhari R.M. , Deore M. K. , Jain G. H.
Published: February 2018

In this work we report the synthesis, microstructure, electric properties and sensing performance of BaSnO3 (BS) powder, it was prepared by mechano-chemical method. As prepared powder is calcinated at temperatures 1100 °c, and 1300 °c tested for crystallization. Thick films were prepared using simple screen-printing technology. Structural and electrical analyses were performed and the results have been correlated. The material was tested for various gases such as CO, CO2
, NH3, Cl2, H2, LPG, ethanol, and H2S. The pure BS film shows good response multiple gases at various operating temperature up to 5000C as NH3, CO2, CO, ethanol and, H2S for different gas concentrations, when the pure film is surface modified with aqueous solution of Cucl2 using simple dipping technique for various time intervals (5 min., 10 min., 20 min. and, 30 min.), film improves the selectivity and sensitivity. Maximum response (S=36.2) was found to H2S gas at temperature of 250 0C and S=12.1 for ethanol at 500 °c for gas concentration of 50 ppm with film dipped for 10 min. time interval. The characterization of the films was done by XRD, SEM and TG-DTA. Crystallite size, texture coefficient, specific surface area, electric properties and gas sensitivity of the films were measured and presented.
Flexible E-Textile Sensors For Real-Time Health Monitoring At Microwave Frequencies
Authors: Mason A. , Wylie S. , Korostynska O. , Cordova-Lopez L. E. , Al-Shamma’a A. I.
Published: February 2018

This paper reports on testing of the performance of SmartLife® e-textile material. In particular, the response of the integrated conductive pathways at microwave frequencies in the region of 9 kHz to 6 GHz is investigated for both biomedical sensing and signal transmission purposes. The experimental results confirm the viability of exciting the e-textile material at ISM microwave frequencies at mW powers for the purposes of wearable non-invasive sensing. Custom made flexible microwave sensors suitable for integration into smart e-textile fabric were tested in their ability to perform real-time body parameters monitoring, in particular the level and composition of perspiration. Gradual change in both the resonant frequency peak and amplitude was recorded in the 2-3 GHz frequency range with increased volume of fluid (50-350 μl) when in contact with a 5×8 mm2 sensor.

This fabric with built-in textile sensors could serve as a platform for “high-tech designer outfits” for an advanced healthcare approach where real-time data on patient condition is transmitted wirelessly for immediate processing and corrective action if necessary. The novel sensor reported here was recently patented under milestone UK patent application number GB 2500000.
New Intelligent Classification Method Based On Improved Meb Algorithm
Authors: Wang Yongqing , Liu Lei
Published: February 2018

We present a simple approximate algorithm to compute the Minimum Enclosing Ball (MEB) of training samples in high dimensional Euclidean space. We prove theoretically that the proposed algorithm converges to the optimum within any precision quickly. Compared to popular MEB algorithms, it has the competitive performances on both training time and accuracy. Besides, the proposed algorithm does not need any extra requirement on kernels, it can be linked with extensive kernel methods, consequently. We also use the proposed algorithm to handle Binary Classification, Multi-class Classification, and Image Clustering problems. Experiments on both synthetic and real-world data sets demonstrate the validity of the algorithm we proposed.
Study Of Vision Based Hand Gesture Recognition Using Indian Sign Language
Authors: Ghotkar Archana S. , Kharate Gajanan K.
Published: February 2018

Human Computer Interaction moves forward in the field of sign language interpretation. Indian Sign Language (ISL) Interpretation system is a good way to help the Indian hearing impaired people to interact with normal people with the help of computer. As compared to other sign languages, ISL interpretation has got less attention by the researcher. In this paper, some historical background, need, scope and concern of ISL are given. Vision based hand gesture recognition system have been discussed as hand plays vital communication mode. Considering earlier reported work, various techniques available for hand tracking, segmentation, feature extraction and classification are listed. Vision based system have challenges over traditional hardware based approach; by efficient use of computer vision and pattern recognition, it is possible to work on such system which will be natural and accepted, in general.
The Research On Cab Simulator Of Quay Crane Containers On Classical Washout Algorithm
Authors: Shi Xiaowei , Xu Yiteng , Huang Youfang , Lu Houjun
Published: February 2018

The acceleration of the speed of the quay crane for containers has raised a higher demand to the dynamic simulation system which is the key part of the simulator in the coast container crane. So it is very necessary to do this research on it. This essay, aimed at the seat motion system of training simulator in the coast container crane, lays a study on the key points in the design of the proprioceptive simulation algorithm of the bridge crane simulator and proposes the realization method for it. This method can help to find the most proper washout point and optimizes the fixed parameter so as to be able to improve the simulation fidelity by offering a better system. It also establishes the simulation model by MATLAB on the basis of which it operates the simulation calculation and analysis on a group of practical motion data. The result shows that this algorithm provides an effective way for the application of the TDOF simulator.
Research On Chips’ Defect Extraction Based On Image-Matching
Authors: Zhang Daode , Xue Yangliu , Ye Xuhui , Li Yanli
Published: February 2018

Image-matching is a basic task in image procession used to (geometrically) match two or more images such as different times, different sensors and different view points. Improved image-matching technology has been widely applied in medical image, remote sensing image, computer vision military and so on. What put forward at the present can be most divided into matching method based on gray and features. The article presents a scheme that is based on subtraction images matching with dynamic selection of templates, which overcomes these more sensitive disadvantages like gray, rotate, deformation and occlusion to achieve accurate calibration for different images.
Active Modeling Based Yaw Control of Unmanned Rotorcraft
Authors: Peng Yan , Guo Wenqing , Liu Mei , Xie Shaorong
Published: February 2018

With the characteristics of input nonlinearity, time-varying parameters and the couplings between main and tail rotor, it is difficult for the yaw dynamics of Rotorcraft to realize good tracking performance while maintaining stability and robustness simultaneously. In this paper, a new kind of robust controller design strategy based on active modeling technique is proposed to attenuate the uncertainties pre-described in the yaw control of unmanned systems. Firstly, by detailed analysis, the uncertainties are introduced into the new-designed yaw dynamics model by using the concept of modeling errors. Then, Kalman filter is used to estimate the modeling errors simultaneously, which is used subsequently to design the robust controller. Finally, the new strategy is tested with respect to the unmanned Rotorcraft system to show the feasibility and validity of it.
Predistortion System Implementation Based On Analog Neural Networks For Linearizing High Power Amplifiers Transfer Characteristics
Authors: Mulliez B. , Moutaye E. , Tap H. , Gatet L. , Gizard F.
Published: February 2018

In order to correct non-linearities due to High Power Amplifiers (HPA) operating near saturation in telecommunication transceivers, a new adaptive predistortion system based on analog Neural Networks (NNs) was developed. Based on size, consumption and bandwidth considerations, Multi-Layer Perceptron (MLP) type NNs were implemented in a 0.6 μm CMOS ASIC. The NNs parameters are digitally updated with a computer, depending on simulation conditions (temperature drifts, ageing variations). The interface between the analog part and the software updating system is integrated in an analog-digital PCB including a FPGA, 6 analog-to-digital converters and 62 digital-to-analog converters. This paper describes the realization of each part of the breadboard system and presents experimental validation results of the whole predistortion module.
Detecting Laser Spot In Shooting Simulator Using An Embedded Camera
Authors: Soetedjo Aryuanto , Mahmudi Ali , Ashari M. Ibrahim , Nakhoda Yusuf Ismail
Published: February 2018

This paper presents the application of an embedded camera system for detecting laser spot in the shooting simulator. The proposed shooting simulator uses a specific target box, where the circular pattern target is mounted. The embedded camera is installed inside the box to capture the circular pattern target and laser spot image. To localize the circular pattern automatically, two colored solid circles are painted on the target. This technique allows the simple and fast color tracking to track the colored objects for localizing the circular pattern. The CMUCam4 is employed as the embedded camera. It is able to localize the target and detect the laser spot in real-time at 30 fps. From the experimental results, the errors in calculating shooting score and detecting laser spot are 3.82% and 0.68% respectively. Further the proposed system provides the more accurate scoring system in real number compared to the conventional integer number.
Error Modeling And Compensation Of 3D Scanning Robot System Based On Pso-Rbfnn
Authors: Qi Jianhong , Cai Jinda
Published: February 2018

abstract

In order to improve the measurement accuracy of three-dimensional (3D) scanning robot, a method of 3D scanning robot system error modeling and compensation based on particle swarm optimization radial basis function neural network (PSO-RBFNN) is proposed to achieve intelligent compensation of measurement error. The structure, calibration and error modeling process of 3D scanning robot system are mainly described. Cleverly using the iterative closest point (ICP) algorithm to construct input and output data pairs of neural network, and the specific process of error modeling using PSO-RBFNN is given. Finally, through the actual experiment we test and verify the correctness and effectiveness of the proposed error modeling and compensation method by measuring the distance between the centers of two standard balls. Experimental results show: the proposed error model and the compensation method can effectively compensate the measurement errors and improve the accuracy of the 3D scanning robot system.
Vehicle Model Recognition Based On Using Image Processing And Wavelet Analysis
Authors: Abadi Elyas Abbasi Jennat , Amiri Soheyl Akhlaghi , Goharimanesh Masoud , Akbari Aliakbar
Published: February 2018

Today, using intelligent transport systems such as identifying vehicle type for monitoring traffic in urban areas can advantage a lot. In this paper, a new method has been presented to detect vehicle type with only one reference image per class. Our algorithm is based on searching mean gradients and analysing these changes by Daubechies wavelet transformation. Firstly, a feature vector is obtained based on the car boundary changes of the side view image in proposed system. This vector is then analyzed by Daubechies wavelet transformation and three statistical criteria; variance, norm-1 and norm-2 are extracted from wavelet coefficients. Finally, a similarity factor is defined to detect the same type of vehicles. The proposed algorithm is resistant against car edge negligible changes and the experimental results indicate the high performance of system in detecting the vehicle types
High Precision Target Localization Method Based On Compensation Of Attitude Angle Errors
Authors: Liu Jialiang , Ding Wenrui , Li Hongguang
Published: February 2018

The attitude angles of UAV, as the input parameters of the target localization process, influence the accuracy of geo-targeting. In order to improve the accuracy of target localization, this paper compensates the attitude angle errors of the UAV based on learning prediction compensation. Firstly, considering the airborne equipment and the metadata provided by the UAV, we combine rear intersection with GPS/INS to calculate the error of each platform and aircraft attitude angle. Then the error prediction model to compensate each platform and aircraft attitude error is derived by analyzing the error distribution and polynomial regression. Afterwards, because of the limit of the UAV aerial image amount and the similar influence of each attitude angle error on targeting and geometric correction, we use equivalent optical axis angle to represent platform and aircraft attitudes. Furthermore, we also predict and compensate the error of the equivalent angle. In this process, we adopt SVM and regression to classify and obtain error prediction model of equivalent optical axis angle. Finally, the actual data is used to verify the compensation algorithm. The results show that the method can improve the accuracy of target localization efficiently, and has a certain value of engineering guidance and practical application
A Novel Grid Intersection Point Detection And Matching Method In The Binocular Pulse Measurement System
Authors: M.Yang L. , Zhang A. H. , Lin D. M. , Zhu L.
Published: February 2018

To improve the accuracy of binocular 3D image reconstruction, the grid-pattern structure lines are printed on the detected objects and the grid lines intersection points are adopted as feature points and primitives in matching process. In this paper, a novel method for detecting the intersection points of the grid lines based on image segmentation and ridge line fitting is proposed. Firstly, the set of line segments on the border of the grid lines are extracted using the Canny edge detector and Hough transformation. Then, the global structure parameters are acquired through cluster analysis. Secondly, the grayscale image is divided into several detection regions (each of which includes one intersection point to be detected) in accordance to the obtained global structure parameters and the intersection points in the detection regions are accurately located using the ridge line fitting method. Finally, the intersection points in the left and right images are matched based on their distributions. To examine the detection performance of the proposed method, experiments have been conducted on actual and polluted images, respectively. The experimental results have demonstrated that the recognition ratio of the intersection points by the proposed ridge line fitting-based method is as high as 100%, the false positive ratio is 0 and the matching accuracy is up to 100%. Compared with the results obtained using traditional methods, the proposed method detection results are characterized by high accuracy, stability, uniqueness and invariability. Hence, the proposed method can meet the demands of 3D image reconstruction
New Adaptive Sliding-Mode Observer Design For Sensorless Control Of Pmsm In Electric Vehicle Drive System
Authors: Xiao Xiong , Zhang Yongjun , Wang Jing , Du Haiping
Published: February 2018

In this study, a new adaptive sliding-mode observer is proposed to estimate the rotor position and speed for sensorless control of permanent-magnet synchronous motor (PMSM) in an electric vehicle drive system. This observer can effectively reduce the estimation errors caused by the inherent chattering phenomenon for a conventional sliding-mode observer and the stator resistance uncertainty due to the variation of motor temperature. This new sliding-mode observer is designed by using a hyperbolic tangent function instead of sign function together with a variable boundary layer, and the new adaptive law is constructed according to the back electromotive force model to reinforce dynamic performance and the robustness of system. Meanwhile, a stator resistance identification algorithm is raised and guaranteed to be stable by using a Lyapunov method. The performance of the developed observer is compared with the conventional sliding-mode controller. Both simulation and experimental results confirm that the chattering phenomenon is effectively eliminated and the estimation accuracy for position and velocity is apparently improved when applying the developed observer in the electric vehicle drive system
Fractional Order Controller Based Fuzzy Control Algorithm For Switched Reluctance Motor
Authors: Congkun Yang , Chaobo Chen , Yongsheng Fu
Published: February 2018

The doubly salient mechanical structure and switching characteristics of switched reluctance motor (SRM) led to torque ripple, low dynamic performance and other problems when using conventional control algorithm in speed control method. In view of the fractional PID control algorithm has strong robustness and advantage of fuzzy control, and it does not depend on the precise mathematical model, the paper proposed a control algorithm based on fuzzy fractional order PID torque control algorithm. On the basis of fuzzy rules, using this control algorithm to adaptive SRM torque control, and using speed deviation and deviation changing rate as its input, the SRM turn torque ripple is smaller by changing proportional coefficient, integral order and differential order of the fuzzy inference adaptive fractional order PID controller. The simulation results indicate that the control algorithm is feasible, torque ripple of switched reluctance motor is smaller, dynamic response is better
Mobile Localization And Tracking With Los And Nlos Identification In Wireless Sensor Networks
Authors: Benkouider Y. K. , Keche M.
Published: February 2018

This paper addresses the problem of mobile sensor localization and tracking in an obstructed environment. To solve this problem, a combination of three approaches is proposed: a nonlinear Kalman Filter to estimate the mobile position, a sub filter used jointly with the nonlinear filter to estimate the bias due to the Non-Line Of Sight (NLOS) effect and a low complexity method for Line Of Sight (LOS) and NLOS identification. Based on hypothesis testing, this method discriminates between the LOS and NLOS situations using a sequence of estimated biases. Simulation results show that the proposed method provides good positioning accuracy
Reversible Watermarking Authentication Algorithm For Color Images Based On Compressed Sensing
Authors: Ruihong Dong , Hangzhou Zuo , Qiuyu Zhang , Dongfang Wu
Published: February 2018

Aiming at the shortcomings of existing reversible watermarking for image authentication, such as poor ability of tamper detection and localization, and low attention of reconstruction after tampering, a reversible watermarking authentication algorithm based on compressed sensing for color image was proposed. On the side of the sender, the original image has been divided into blocks and carried out compressed sensing to generate image hash which works as the watermark information, and was embedded by the reversible watermarking of difference histogram algorithm. On the side of the receiver, watermark was extracted for authentication. For the tampered block which was failed in authentication, original image will be restored by reconstruction of compressed sensing. Experimental results show that the algorithm combines of reversible watermarking and compressed sensing, so that the detection rate of image authentication has been improved, as well as the robustness to resist sparse noise and cutting and the ability to reconstruct the original image
Ellipse Detection on Embryo Imaging Using Random Sample Consensus (Ransac) Method Based on Arc Segment
Authors: Syulistyo Arie Rachmad , Aprinaldi  , Bowolaksono Anom , Wiweko Budi , Prati Andrea , Purnomo Dwi M. J. , Jatmiko Wisnu
Published: February 2018

In Vitro Fertilization (IVF) is a method which is used to help couples who have a fertility problem. One of the problems of IVF is the success rate, which is only about 30%. One cause of the problem is the embryo morphology observation done by embryologist manually. Morphologically normal embryo does not mean the embryos are genetically normal. The aforementioned phenomena can be tested by using time lapse recording in which unavailable in the manual observation. Therefore it is very important to establish method for time lapsed recording of the embryos. This can be done by automatic observation on the embryo image, where the first step is to create a system that can automatically detect the embryo. This paper proposed Random Sample Consensus (RANSAC) method based on Arc Segment to automatically detect embryo. From the experiment that have been conducted, the proposed method can detect single and multiple ellipse on embryo with a better accuracy than the previous method, EDCircles by 6%c and 3%cfor single and double respectively.
Modification of Particle Swarm Optimization by Reforming Global Best Term to Accelerate the Searching of Odor Sources
Authors: Widiyanto D. , Purnomo D. M. J. , Jati G. , Mantau Aprinaldi Jasa , Jatmiko W.
Published: February 2018

Particle Swarm Optimization (PSO) has been widely utilized for Odor Source Localization (OSL) purposes. There have been plenty of researches on this field. The latest research to modify original PSO were on the utilization of wind dynamics. In wind utilization research, the robot movement would be retarded if the robot movement direction is similar to the wind direction. Conform to the aforementioned method, this research proposed new modification on the global best term of PSO algorithm. There are two modifications proposed in this research, named Ignoring gBest 1 (IgB1) and Ignoring gBest 2 (IgB2).The basic concept of two proposed methods are identical by considering wind dynamic into global best term of PSO. The robot which in the original PSO will move to global best position would be deviated to the other point which is defined by deliberating wind direction. The main difference of both the method lies on the addition of new term in IgB1, whereas in IgB2 there is modification in social term without any additional term. The experiment was conducted on two PSO for OSL purposes algorithms i.e. Ranged Sub-Group PSO (RSPSO) and Ranged Multi Niche PSO (RMNPSO). The result on RMNPSO showed significant decrease in time consumption while employing both the proposed method. On the contrary in RSPSO the improvement is insignificant compared to the original algorithm.
Social Popularity Based Routing in Delay Tolerant Networks
Authors: Song Youmei , Li Jianbo , Li Chenglong , Wang Fushu
Published: February 2018

Due to node’s mobility, Delay Tolerant Networks (DTNs) feature the nonexistence of end-to- end path between source and destination, frequent topology partitions and extremely high delivery latency, thus posing great challenges to successful message transmission. To improve routing performance and provide high quality communication service, nodes' social characteristics are exploited to routing design recently. Hence, a social popularity based routing algorithm is proposed, named SPBR which takes the inter-contact time and multi-hop neighbor information into consideration. In this paper, we first introduce a method to detect the quality of relation between pair of nodes accurately. Used the reliable relationships, social popularity is proposed to evaluate the social power of node in the network. SPBR makes the routing decisions based on the popularity, leading message closer to destinations with low hops of routing and network resources. Extensive simulations are conducted and the results show that the proposed algorithm significantly improves routing performances compared to Epidemic, Prophet and First Contact (FC), especially SPBR is lower by about 55.1% in overhead ratio and higher by about 22.2% in delivery rate than Epidemic when there are 40 nodes in the networks.
Spectral Clustering with Spatial Coherence Property Jointing to Active Contour Model for Image Local SE Gmentation
Authors: Hu Guang , Yuan Shengzhi
Published: February 2018

Local Segmentation is the fundamental task for image processing. Consider to the problem of low segmentation precision and contour control instability for image local segmentation, a local segmentation theory is researched that based on SSCACM (spectral clustering with spatial coherence property jointing active contour model). First, by applying spatial coherence property constraint of image pixels to spectral clustering, an adaptive similarity function is constructed and the corresponding spectral clustering algorithm is used to extract initial contour of the local region of an image. Then, the NBACM (narrow band active contour model) is combined with the priori information of initial contour to evolve contour curve to get the segmentation result. At last, the local segmentation experiment is realized on synthetic images and medical images. The experimental results show that the method proposed can extract contour accurately and can improve the effectiveness and robust for image local segmentation.
Smartphone-Based Environmental Sensing Using Device Location as Metadata
Authors: Fujinami Kaori
Published: February 2018

The people-centric sensing community is paying substantial attention to the smartphone as an ad hoc, low-cost, and dense sensing method because it permits people to participate easily in sensing activities, i.e., just by carrying it as usual. People carry their smartphones in various manners, rendering measurement results unreliable. For example, humidity is typically higher in a trouser pocket than around the neck as a result of sweat. In this article, we propose a platform for people-centric sensing that considers the on-body position of a smartphone as metadata. A general architecture is presented, and a universal serial bus-based external sensing module for an Android-based terminal is developed. A heatstroke alert map that visualizes the heatstroke risk is presented as an application based on both the collected raw data and metadata using the platform.
An 18S rDNA Perspective on the Classification of Criconematoidea
Authors: Powers Thomas , Harris Timothy , Higgins Rebecca , Mullin Peter , Powers Kirsten
Published: February 2018

In the nematode family Criconematidae, a taxonomy primarily based on cuticle characters has created classifications that are notoriously volatile. Molecular characters may lead to their stabilization. A phylogenetic tree of Criconematoidea was constructed using 166 new near full-length 18S rDNA sequences and 58 sequences from GenBank. Bayesian and maximum likelihood (ML) analyses produced trees with similar topologies. Major features include a strongly supported clade that includes Criconematidae and Hemicycliophoridae, excluding Paratylenchidae and Tylenchulidae. Another well-supported clade groups Criconema, Ogma, Crossonema, and Hemicriconemoides plus Xenocriconemella, combining nematodes with cuticular scales with those without scales at any life stage. Mesocriconema, Discocriconemella limitanea, Hemicaloosia, and Lobocriconema are recognized as monophyletic groups, but Criconemoides is paraphyletic. Both trees support an unexpected sister relationship between Bakernema and Hemicycliophora. The 18S rDNA dataset was insufficient for distinguishing genus boundaries between Criconema, Ogma, and Crossonema. The relationships depicted by the 18S rDNA phylogeny suggest that key morphological characters used in the classification of Criconematidae are not homologous.
Morphological, Morphometric, and Molecular Characterization of Intraspecific Variations within Indian Populations of Meloidogyne graminicola
Authors: Salalia Rajan , Walia R. K. , Somvanshi Vishal Singh , Kumar Puneet , Anil K
Published: February 2018

Fourteen populations of Meloidogyne graminicola were collected from different agroecological regions of India. Morphological and morphometrical comparisons were made for various nematode life stages. Three populations (Hisar, New Delhi, and Samastipur) were different from typical M. graminicola on the basis of the length of eggs; J2 length, a-value, hyaline tail portion; male length, distance up to excretory pore, spicule and gubernaculum lengths; female length and width, stylet length, distance up to excretory pore, EPST (distance of excretory pore from anterior end / stylet length [females]) ratio, and vulval length. Morphological and morphometrical comparison with closely related species M. graminis, M. oryzae, M. salasi, M. triticoryzae, and M. lini clustered these populations into two groups: Anand, Bhubaneswar, Hyderabad, Jammu, Jorhat, Kalyani, Kanpur, Ludhiana, Mandya, Palampur, Vellayani grouped with M. graminicola, M. triticoryzae and M. salasi; whereas, Hisar, New Delhi, Samastipur grouped with M. oryzae and
M. graminis. Molecular phylogenetic analysis using internal transcribed spacer (ITS) suggested that in spite of morphological differences, these populations belonged to M. graminicola.
Adolescent with acute psychosis due to anti-N-methyl-D-aspartate receptor encephalitis: successful recovery
Authors: Jonuskaite Dovile , Kalibatas Paulius , Praninskiene Ruta , Zalubiene Asta , Jucaite Aurelija , Cerkauskiene Rimante
Published: February 2018

Anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is a relatively new autoimmune disorder of the central nervous system. We report the first case of anti-NMDAR autoimmune encephalitis combined with anti-voltage-gated potassium channel (anti-VGKC) antibodies in Lithuania in a 16-year-old girl. The patient was admitted to psychiatry unit because of an acute psychotic episode. She was unsuccessfully treated with antipsychotics, and electroconvulsive therapy was initiated because of her rapidly deteriorating condition. Electroconvulsive therapy improved the patient’s condition even before the initiation of immunomodulatory therapy. The abrupt onset, atypical and severe course of psychosis, poor response to antipsychotic treatment, and signs of flu-like prodromal period led to the search of non-psychiatric causes. Although with considerable delay, she was screened for an autoimmune encephalitis. Positive anti-NMDA receptor antibodies were found in the cerebrospinal fluid, but not in serum. In addition, serum was found positive for antinuclear antibodies and anti-VGKC antibodies but negative for CASPR2 and LGI1 antibodies. The girl was treated with intravenous immunoglobulin and methylprednisolone with satisfactory response, although infrequent orofacial movements, emotional lability, and learning deficits remained upon discharge. The reported case suggests that multiple antibodies could be present, and that electroconvulsive therapy may have a role in symptomatic treatment of autoimmune encephalitis.
Estimation of Small Area Characteristics Using Multivariate Rao-Yu Model
Authors: Jędrzejczak Alina , Kubacki Jan
Published: February 2018

The growing demand for high-quality statistical data for small areas coming from both the public and private sector makes it necessary to develop appropriate estimation methods. The techniques based on small area models that combine time series and cross-sectional data allow for efficient "borrowing strength" from the entire population and they can also take into account changes over time. In this context, the EBLUP estimation based on multivariate Rao-Yu model, involving both autocorrelated random effects between areas and sampling errors, can be useful. The efficiency of this approach involves the degree of correlation between dependent variables considered in the model. In the paper we take up the subject of the estimation of incomes and expenditure in Poland by means of the multivariate Rao-Yu model based on the sample data coming from the Polish Household Budget Survey and administrative registers. In particular, the advantages and limitations of bivariate models have been discussed. The calculations were performed using the sae and sae2 packages for R-project environment. Direct estimates were performed using the WesVAR software, and the precision of the direct estimates was determined using a balanced repeated replication (BRR) method.
INTRODUCTION TO VOLUME 11 : 2013
Authors: Mohd Noordin Nazri
Published: February 2018

MIP is once again proudly to riposte its eleventh volume of Planning Malaysia. Since its inception in 2003, the Journal was well-received by the members as well as the academic fraternity. This is due to perhaps, the awareness for knowledge seeking and improvement among the members as the articles touch on wide spectrum of our daily planning issues. It isindeed a great achievement to the Institute as we strive to encourage more members and academics to write and share new ideas on planning and urban development.Urban and Regional Planning is very broad based subject that covers technical and political process concerned with the control of the use of land and design of the urban environment, including transportation networks, to guide and ensure the orderly development of settlement and communities. The wide ranging topics in this issue reflect the various dimensions of sustainable cities and urban planning that is holistic and comprehensive. One of the key objectives of this issue is to provide a platform for town planners to share new ideas and experiences on cities and urban planning. Such new ideas are by research, studies undertaken or actual hands-on experiences of planners. Thus I hope this issue provides a better insight to all readers of the broad dimensions that urban or town planning has and the role of town planners play in growth and development of the nation. Apart from the MIP’s contribution to the planning circle, Planning Malaysia is also extended to various planning related organizations, institutions of higher learning as well as to all members of the institute. We anticipate to eventually extending the circulation of this journal to non-planning related organizations and institutions that has an indirect role in planning within and outside the country. We hope this issue will serve the purpose and welcome any feedback for the improvement in the forthcoming issue. As a new preside President, I would like to acknowledge and congratulate the new journal’s Editor-in-Chief, Professor Dato’ Dr. Mansor Ibrahim and his team for the dedication and continuous support to the Institute.Thank you and happy reading.
Extent and pattern of genetic diversity in linseed(Linum usitatissimum L) under irrigated ecology
Authors: CHAUHAN M. P. , SINGH H. K. , YADAV JAY KUMAR , MAURYA M K.
Published: February 2018

Sixty six genotypes of linseed were analysed for the morphological traits to investigate the
genetic diversity between and within the genotypes. The field data was initially subjected
to analysis of variance. There were highly significant differences among the genotypes for all the
traits indicating the presence of variability among the genotypes and the possibility to undertake
cluster analysis. The phenotypic divergence and relative importance were estimated by
multivariate analysis. The cluster analysis classified linseed genotypes in to nine major groups. The
maximum intercluster diversity was observed between cluster VIII and V. Based on mean
performance of the genotypes and intercluster distance the crosses between ICAR Sel-1 and L-9,
NDC 2005-34, H660, LCK 87042, NDL2005-22, GS335 is recommended to get use full transgressive
sergeants in linseed.
DG(RG) 55- High yielding short duration dwarf line of pigeonpea
Authors: ARUMUGAM MURUGAN , PILLAI ARUMUGAM , CHANDRAN JAYAPRADHA , CHAUDHARY SAKSHI , MISHRA BHARAT KUMAR , GANDHI VELAYUTHUM, , VERMA NIDHI , SINGH NEETA , C. VANNIYARAJAN , HEMAVATHY THANGA , ARUMUGAM NAGARAJA , SINGH ANIL KUMAR , YASIN JESHIMA KHAN
Published: February 2018

Pigeonpea (Cajanus cajan), the essential vegetarian protein diet of India is yielding lesser than as
potential. The major constraints for productivity of pigeonpea are inadequate availability of seeds
of high yielding short duration improved varieties, biotic and abiotic stress and poor crop
management. To utilize the genomic resources for yield improvement it is necessary to evaluate the
pigeonpea germplasm for yield traits and biotic and abiotic stress tolerance. The present
investigation led to the identification of better performing lines based on yield. A total collection of
2000 accessions were subjected to initial evaluation. From these 2000 accessions better performing
lines were selected for crossing and generation of mapping populations. Initial data was evaluated
to identify better performing accessions over the check varieties used in evaluation. Based on days
to first flowering, days to 50 per cent flowering and days to maturity parental lines for crossing
were identified. Among selected accessions IC33671 and Palamedu local were found to have short
stature and early maturing independently. These selected accessions were crossed and progenies
were evaluated to identify high yielding individuals. The resultant high yielding determinant short
duration crop DG (RG) 55 has been evaluated for its performance under multiple locations and
identified to yield up to 15 per cent more than the better performing check varieties Asha and APK1.
Evaluation of rice genotypes for its response to added fertility levels and induced drought tolerance during reproductive phase
Authors: KHAREL LAXMI P. , GHIMIRE SURYA KANT , SHRESTHA JIBAN , KUNWAR CHITRA BAHADUR , SHARMA SUBARNA
Published: February 2018

A field research was carried out at agronomy field at Regional Agricultural Research Station,
Khajura, Banke, Nepal from June to November 2012-2013 in order to evaluate drought tolerant rice
genotypes under different nutrient levels in artificially created stress condition during
reproductive stages. The field experiment was conducted in strip plot design with three
replications. Three main-plots contain three different levels of fertilizers, each consisting of 14 subplots
of genotypes. The result revealed that the rice genotypes showed the significant differences
for days to flowering, days to maturity and grain yield. Genotype IR83381-B-B-137-1 produced the
highest grain yield (3851 kg ha-1), followed by IR83383-B-B-141-2 (3130 kg ha-1). The differences was
significant for no. of tillers hill -1, no. of panicles hill-1 and biomass yield kg ha-1. In terms of level of
fertilizers; rice genotypes showed significant differences for days to maturity. Interaction effect was
observed significant for days to maturity and no. of panicles. The correlation between tillers
number hill-1 and panicle number hill-1 was the highest (0.994**) and in path analysis for grain yield;
direct effect of biomass yield was the highest (0.58134).
Effect of Gibberllic acid on Growth, Yield and Economics of Maize (Zea mays L.)
Authors: SINGH MAHENDER S. , KUMAWAT NARENDRA , TOMAR I. S. , DUDWE T S. , YADAV R. K. , SAHU YOGESH KUMAR
Published: February 2018

The aim of present investigation was to study the effect of foliar application of gibberellic acid
(Progibb 40% WSG) spraying at 4-5 leaves stage of the maize crop. Two field experiments were
conducted during kharif 2014 and rabi 2014-15 at Research Farm, Zonal Agricultural Research
Station, Jhabua. Seven treatments (T = 20, T 30, T 40, T 50 T 60 gibberellic acid g/ha, Tricontanol 1 2= 3= 4 = 5=
0.1%= 250 ml/ha and control) were tested in randomized block design with three replications.
Results showed that variation in different doses of gibberellic acid had significant effect on growth
character (plant height and silking) and yield attributes (no. of cobs/plant, cob length, no. of
grains/cob and cob weight/cob); grain yield and stover yield of maize in both the seasons. Higher
values of plant height (197.33 and 205.5 cm) and silking (53.67 and 54.67) was recorded with the
spraying of gibberellic acid @ 60 g/ha in both the seasons, respectively. Similarly the higher yield
attributes viz., no. of cobs/plant (1.48 and 1.49), cob length (17.40 and 17.78 cm), no. of grains/cob
(443.33 and 456.67) and cob weight/cob (93.2 and 97.32) were recorded with the application of
gibberellic acid @ 50 g/ha in both the seasons, respectively. Application of gibberellic acid @ 50 g/ha
produced highest grain yield (3522 and 4277 kg/ha) and stover yield (51.05 and 5413 kg/ha) which
was statistically at par with doses of 40 g/ha, 60 g/ha and tricontanol 0.1% @ 250 ml. The maximum
gross return (Rs. 56,347 and 65,854), net return (37,722 and 47,229), B: C ratio (3.03 and 3.54),
production efficiency (32.49 and 37.19 kg/ha/day) and economic efficiency (339.84 and 410.69
Rs./ha/day) recorded with gibberellic acid @ 50 g/ha. Enhancing of production, productivity and
profitability of maize under Jhabua Hill of Madhya Pradesh gibberellic acid applied @ 50 g/ha at 4-5
leaf stage of crop.
Effect of tillage and crop establishment methods on yield and economics of cotton
Authors: KHIPPAL ANIL , Bhadauria KAMINI KUMARI S. , SINGH JASBIR
Published: February 2018

In Haryana (India) cotton is generally sown with conventional tillage practices witnesses
poor germination and plant establishment. Poor plant stand is attributed by burning of
emerging plants due to very high temperature at the time of planting, which is further worsen
by crust formation due to pre-monsoon showers. Keeping these points in view, an experiment
was conducted with farmers' participatory research mode in village Hajwana of Kaithal
district. Cotton sown with zero tillage technique resulted in approximately five percent
higher yield i.e. 136.3 kg ha-1 over conventional tillage. Mean returns over variable cost of all
the three years were 10.8 percent i.e. Rs. 11794 ha-1 more in zero tillage over conventional
tillage. Benefit: cost ratio were 3.86, 3.86 and 4.61 in conventional method of planting, bed
planting and zero tillage technique, respectively. Zero tillage planting of cotton reduced fuel
consumption by 93.4 % and 91.7 % compared to bed planting and conventional planting
respectively.
Correlation coefficient between early blight severity, infection rates and meteorological factors in potato under different fungicidal spray
Authors: KUMAR AJAY M. , SINGH S. K. , KUMAR NARENDER , KUMAR VIPIN , SINGH MAHESH , SINGH H. K.
Published: February 2018

Early blight caused by Alternaria solani is a severe constraint in potato production. The severity of
this disease has been increasing day by day for last few years in India due to changes in weather.
Disease severity and area under disease progress curve (AUDPC) was recorded in each treatment
plot. The early blight disease had significant negative correlation with maximum relative humidity
during 2012-13 and in year 2013-14 minimum temperature was significantly correlated. The
severity of early blight showed significant positive correlation with maximum temperature and
highly significant positive correlations with sun shine hours in year 2013-14 in all tested treatments.
The study showed that minimum temperature and rainfall revealed negative but non-significant
correlation in all treatments except untreated control in year 2012-13. The maximum tuber yield
223.70 and 222.00 q/ha in first and second years, respectively, were recorded with spray of
Fenamidone @ 0.2% at disease initiation and 2nd spray of Mancozeb @ 0.25% followed by Mancozeb
@ 0.25% at 15 days intervals in both respective years.