bluuebunny/crossref_metadata_2025_split huggingface dataset:
Image Processing and Recognition Algorithm for Target Tracking
Authors: Lu Liping , Wang Jinfang 
Published: February 2018

Abstract
to improve target tracking performance in dynamic target track system, this paper propose the processing method of positive and negative difference image to extract target information; research target image preprocessing algorithm, the separation and segmentation processing algorithm of target and background, target edge detection and extraction based on the collected images; use Laplace operator, Canny operator. Gauss-Laplace operator to gain target information and improved recognition target image effect, analyze the positive and negative difference image measure to solve the background subtraction interference between two sequence images. Through the actual image processing, The results shows the proposed processing method can clear gain target marginal information and target image particle center, control tracking platform can stably track the target, and give the comparison results
An Inverse Linearization Model for the Characterization of Non-Contact Thermopiles
Authors: V. J-S. Botero , Salazar A. , G. L-J. Morantes 
Published: February 2018

Abstract
A thermopile is an electronic device that converts thermal energy into electrical energy by means of arrangements of thermocouples that are connected in series. In addition, optical filters restrict the wavelength that strikes the thermopile. One of the main advantages of using a thermopile is its sensitivity to infrared radiation, which allows implementing non-contact thermometers. However, the thermopile does not provide an absolute temperature value, but a value that is proportional to the temperature gradient between the local temperature in th e measurement range of the thermopile and its internal temperature. Therefore, it is necessary to integrate temperature sensors aiming to correct the output temperature value. In this sense, the output of the thermopile corresponds to a value generatedfrom the relationship between the internal temperature of the thermopile and the output temperature. This work proposes and evaluates a thermopile characterization model, which uses an incubation system and a thermoelectric cooling device to control the room temperature and the temperature that is read out using the thermopile, respectively. This is based on the automation of the data collection procedure and the characterization of the thermistor that is used to measure the temperature of the thermopile. The result is an experimental operating surface, from which a linearization model was derived
Wireless Energy Monitoring System Of Photovoltaic Plants With Smart Anti-Theft Solution Integrated With Control Unit Of Household Electrical Consumption
Authors: Visconti P. , Lay-Ekuakille A. , Primiceri P. , Cavalera G. 
Published: February 2018

Abstract
This paper describes an intelligent system for monitoring photovoltaic plants, detecting thefts or malfunctions and optimizing energy production by algorithm to drive solar trackers. Sensing/processing board detects environmental parameters and calculates produced power/energy for monitoring efficiency while anti-theft system reveals any critical condition. Designed board controls biaxial trackers calculating sun position and following solar orbit to optimize energy production. Monitoring and anti-tampering systems communicate with PC or remote stations by wireless modules. Finally, wireless monitoring system of household facilities measures absorbed currents viewing consumption values on web-page. Depending on light/presence sensors, system can switch on/off monitored facilities obtaining energy savings
Study On The Discrete Time Multichannel Three Dimensional Probability Csma Protocol In Wsn
Authors: Zhao Yifan , Zhou Shengjie , Ding Hongwei , Yang Zhijun , Liu Qianlin 
Published: February 2018

Abstract
With the development of the times, in the wireless sensor networks, the increasing amount of information transmission requires more advanced transmission protocols. Especially accompanied by the arrival of the era of Big Data, the conflicts between traditional transport agreement and the sudden or large amount of data are increasingly prominent. The discrete time three-dimensional probability CSMA protocol with multichannel mechanism proposed solves these problems pretty well. By the new MAC protocol to control transmission of information, so that the agreement adapts various contingencies problems in the network better and has more controllable ability. Using simulation toolMATLAB for the accuracy of the agreement is demonstrated
Random Signal Frequency Identification Based On Ar Model Spectral Estimation
Authors: Song Chunhuan 
Published: February 2018

Abstract
The power spectral estimation is an important element in the random signal analysis. The paper will introduce the principles of the classical power spectral estimation and modern power spectral estimation, analyses their characteristics and application in MATLAB simulation. The variance obtained by the classical power spectral estimation is inversely proportional to its resolution, the resolution of the modern spectral estimation are not subject to this restriction, but also the variance achieve greatly improvement, which is a great importance for improving the accuracy of the power spectral estimation. This paper mainly studies AR model of parametric modeling in the modern spectral estimation, and then uses the simulation between the classical power spectral estimation and modern power spectral estimation for comparison, verifies the analysis of the modern power spectral estimation based on ARmodel is more accurate than the classical power spectral estimation
A Kriging-Based Unconstrained Global Optimization Algorithm
Authors: Li Yaohui 
Published: February 2018

Abstract
Efficient Global Optimization (EGO) algorithm with Kriging model is stable and effective for an expensive black-box function. However, How to get a more global optimal point on the basis of surrogates has been concerned in simulation-based design optimization. In order to better solve a black-box unconstrained optimization problem, this paper introduces a new EGO method named improved generalized EGO (IGEGO), in which two targets will be achieved: using Kriging surrogate model and guiding the optimal searching direction into more promising regions. Kriging modeling which can fast construct an approximation model is the premise ofperforming optimization. Next, a new infill sampling criterion (ISC) called improved generalized expected improvement which round off Euclidean norm on variation of the optimal solutions ofparameter θ to replace parameter g can effectively balance global and local search in IGEGO method. Twelve numerical tests and an engineering example are given to illustrate the reliability, applicability and effectiveness of the present method
A Gain Scheduling of PI Controllers of a Multi Span Web Transport System
Authors: Giannoccaro Nicola Ivan , Sakamoto Tetsuzo , Uchitomi Issei 
Published: February 2018

Abstract
This research aims to address the issue of controlling a multi-span web transport system by an automatic tuning of the PI controllers parameters. The use of multi-span web transport systems often requires dedicating a particular effort for defining a control system able to protect the integrity of the web. The possibility of using PI controllers for each section is attractive considering that an overlapping system decomposition may permit to take into account the mutual interaction of the neighbor sections. In this case, the choice of correct values of the PI parameters becomes crucial for the control performance. Existing fixed gain PI tension control schemes currently used in industrial practice require extensive tuning and do not provide the desired performance for changing operating conditions. This paper describes a simple strategy for automatically selecting the PI parameters of a multi span transport system by using an nonlinear interpolation of the trend of a preliminary calibration. The algorithm is simple and efficient providing fast real-time implementation, since it does not require any data processing. The proposed technique features robustness and simplicity. The implications of this method reside in its applicability in an industrial platform.
Foreground Detection in Surveillance Videos Via a Hybrid Local Texture Based Method
Authors: Du Xiaojing , Qin Guofeng 
Published: February 2018

Abstract
Foreground detection is a basic but challenging task in computer vision. In this paper, a novel hybrid local texture based method is presented to model the background for complex scenarios and an image segmentation based denoising processing is applied to reduce noise. We combine the uniform pattern of eXtended Center-Symmetric Local Binary Pattern (XCS-LBP) and Center- Symmetric Local Derivative Pattern (CS-LDP) to generate a discriminative feature with shorter histogram. Retaining the strengths of the two textures, it appears to be robust to dynamic scenes, illumination changes and noise. Based on the hybrid feature, we employ an overlapping block based Gaussian Mixture Model (GMM) framework which makes classifying decision in pixel level. Experimental results on two changeling datasets (Wallflower and I2R dataset) clearly justify the performance of proposed method. Besides, we take the foreground masks obtained by proposed method as input to a tracking system showing notable results.
A Door Monitoring System for Subway Cars Based on Wireless Sensor Network
Authors: Minghu WU , Rui CHEN , Jie YANG , Liangbao JIAO 
Published: February 2018

Abstract
The place and performance of wireless sensor networks are rapidly improving in the automotive industry, industrial and environmental monitoring. Uptake of this technology can be used in urban rail vehicle management system. Due to the difficult and time-consuming maintenance of vehicle management, a remote automatic monitoring system is needed. In this paper, it is proposed to design, develop and implement a remote automatic vehicle monitoring system. The complete system architecture includes a group of sensor nodes, some sink nodes, and a data centre. The sensor nodes are connected to the sink node, which is connected to a data centre through CDMA or General Packet Radio Service (GPRS) technologies. In order to improve the reliability of wireless transmission, retransmission and redundant path are discussed. The system has been tested for half a year and satisfactory results have been observed, which indicate that this system is useful for urban rail vehicle monitoring.
Planning of Cutter Path in High Speed Machining Based on Mapping of Triangular Grid Surface
Authors: Guan Yue-qi , Xu Du , Guan Han-qing 
Published: February 2018

Abstract
This paper puts forward an algorithm of generating a constant CNC spiral path based on curved surface of triangular grid. This algorithm takes fully consideration of the geometry and dynamics characteristics of the cutter-path and triangular grid cell, effectively reducing numbers of cutter lifting and maintaining the continuity of the cutter-path. This algorithm starting biasing from the contact points of cutter on the boundary of profile curve of grid layer by layer and planning the contact points of biased cutter on the parametric field, fitting contact points onto the spiral path by NURBS fitting algorithm, finally the spiral cutter-path is obtained by inverse mapping it on the grid. The algorithm in this paper can generate a path with advantages of consistence boundary, smooth and continuous path and without repeatedly need for feeding or relieving of cutter compared with those paths generated through traditional ways.
A Deployment Algorithm of Heterogeneous Underwater Sensor Network Based on Acoustic and Magnetic Joint Sensing Model
Authors: Ju-Wei ZHANG , Yu WANG , Ya-le Wang 
Published: February 2018

Abstract
In underwater target detection, because the acoustic environment of the shallow sea is extremely complex, the acoustic detection is becoming more and more difficult. A deployment algorithm of heterogeneous sensor network based on joint probabilistic sensing model is proposed which combine the acoustic detection and magnetic detection to detect underwater targets. Expert system knowledge is used to achieve the deployment of acoustic magnetic underwater sensor network which base on the normal working area of submarine and the frequency of target within system work a certain time. The simulation results show that the algorithm can guarantee higher detection probability, and reduce the energy consumption of network and prolong network lifetime.
Finding the Shortest Paths Among Cities in Java Island Using Node Combination Based on Dijkstra Algorithm
Authors: Amaliah Bilqis , Fatichah Chastine , Riptianingdyah Olyn 
Published: February 2018

Abstract
This study focuses on finding the shortest paths among cities in Java Island by repeatedly combining the start node’s nearest neighbor to implement Dijkstra algorithm. Node combination is used to find the shortest path among cities in Java by deleting the node nearest to the start node. The use of memory by node combination is more efficient than the use of memory by the original Disjkstra algorithm. The 46 cities in Java Island will be used to evaluate the performance of finding shortest path. The experimental results show that the accuracy of node combination is 92.88% with the Google Map as the reference. The successful implementation of algorithm in finding the shortest path on the real problem is a good point; therefore, the algorithm can be developed to solve the transportation network problem.
Taxonomy and Systematics of the Genus Makatinus Heyns, 1965 (Nematoda: Dorylaimida: Aporcelaimidae)
Authors: PeŃa-Santiago Reyes , Varela Ingrid 
Published: February 2018

Abstract
The taxonomy and the systematics of the genus Makatinus are discussed by means of the characterization of its morphological pattern and the first molecular (D2–D3 expansion segments of 28S rDNA) analysis of a representative of this taxon, Makatinus crassiformis from Costa Rica. The presence of two or more pairs of male ad-cloacal genital papillae is the most characteristic autapomorphy of the genus, but the status of its species on this concern differ among them. Both morphological and molecular data support a relationship with Aporcelaimellus, which, however, might not be as close as usually assumed. An emended diagnosis of the genus, a key to species identification, and a compendium of their morphometrics are provided. Makatinus siddiqii is regarded as species inquirenda, Makatinus simus is retained under Eudorylaimus, and Makatinus tritici becomes a junior synonym of Aporcelaimellus tritici.
Concurrent adversities and deliberate self-harm among indigenous Sami and majority Norwegian adolescents: the Norwegian Arctic Adolescent Health Study
Authors: Reigstad Bjørn , Kvernmo Siv 
Published: February 2018

Abstract

Background:
Few studies have investigated proximal relationships between deliberate self-harm (DSH) and concurrent adversities.

Objective:
We aimed to investigate these relationships in a community population of 4881 indigenous Sami and majority Norwegian adolescents, 15 to 16 years old, and related to ethnicity and gender.

Methods:
Youth with and without self-reports of DSH last year were compared on 12 concurrent adversities, on scales measuring family and peer functioning, and on sociodemographic conditions.

Results:
DSH last year was reported by 22.3% of the adolescents, and by more girls (28.8%) than boys (15.9%). All 12 concurrent adversities were related strongly to DSH last year. Deliberate self-harmers reported twice as many concurrent adversities as non-DSHs, and a large effect size (Cohen’s d = 0.80) indicated a strong multiple additive relationship, but among DSHs no ethnic or gender differences were found. Multivariately, among Sami youth sexual abuse [odds ratio (OR), 8.4] was strongly related to DSH, whereas among majority Norwegians sexual abuse (OR, 3.9) and violence (OR, 4.5) were identified as the strongest predictors. Similarly, among boys violence from adults (OR, 8.8) was associated most strongly with DSH, whereas among girls sexual abuse (OR, 4.3) was the most robust predictor. DSHs reported more conflicts with parents, less family support and involvement, and more peer problems than non-DSHs, and DHS girls had more difficulties in these relationships than DHS boys. Only small ethnic differences were found.

Conclusion:
Adolescent DSHs reported twice as many concurrent adversities as non-DSHs, sexual abuse and violence were strongly related to DSH. Ethnic and gender differences in risk factors were found. Clinicians should inquire about traumatic experiences such as sexual and physical abuses, and should have a family, peer, and gender perspective in their work.
A Generalized Randomized Response Model
Authors: Singh Housila P. , Gorey Swarangi M. 
Published: February 2018

Abstract
In this paper we have suggested a generalized version of the Gjestvang and Singh (2006) model and have studied its properties. We have shown that the randomized response models due to Warner (1965), Mangat and Singh (1990), Mangat (1994) and Gjestvang and Singh (2006) are members of the proposed RR model. The conditions are obtained in which the suggested RR model is more efficient than the Warner (1965) model, Mangat and Singh (1990) model and Mangat (1994) model and Gjestvang and Singh (2006) model. A numerical illustration is given in support of the present study.
Application of Evolutionary Algorithms for Harmonic Profile Optimization in Symmetric Multilevel Inverter used in Medical Electronic Equipments
Authors: Menaka S. , Muralidharan S. 
Published: February 2018

Background:
Inverters are finding applications in electrical field where conversion
from Direct Current (DC) to Alternate Current (AC) has become an inevitable option. The need of
Multi Level Inverter (MLI) is to provide a high output power from medium voltage source. High
power quality is the very basic important requirement for MLI used in medical electronic equipment.
Harmonic elimination in MLI is a challenging one and is solved by optimum switching of
power electronic switches present in the MLI topology.

Methods:
Several control strategies have been proposed for harmonic elimination in multilevel
inverters. Newton-Raphson method is the conventional and iterative based method to obtain optimum
switching angle to minimize the Total Harmonic Distortion (THD). But it requires an initial
guess of switching angles which is very close to the exact solution. To overcome this, harmonic
elimination is converted into an optimization task and is solved by using evolutionary algorithms
such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). GA and PSO offer optimum
switching angles to minimize THD and used to increase the robustness of the system.

Results:
The performance of proposed symmetric 21 level multilevel inverter with GA and PSO
techniques are analysed and the objective of minimum THD is obtained by using MATLABSIMULINK
software.In experimental setup, FPGA controller has been used to generate the Pulse
Width Modulation (PWM) control signals according to the proposed soft computing based switching
strategy. The experimental result is used to verify the ability of the proposed system for the
generation of desired output voltage with minimum THD.

Conclusion:
The proposed symmetric MLI with evolutionary algorithm based switching is a good
choice for medical electronic equipment used in hospital to obtain quality power with minimum
THD.
Avaliação do consumo de medicamentos psicotrópicos das listas ¨A3, B1 e B2¨ dispensados em drogarias privadas do município de Macapá - AP 2014
Authors: Dos Santos Pereira Yane , Miranda de Sousa Lima Carolina , De Oliveira Cabral Luane , Albuquerque Lima Luana 
Published: February 2018

Com o advento dos transtornos mentais, o consumo de fármacos psicotrópicos pela população mundial torna-se acentuado, aumentando a preocupação quanto ao seu uso indiscriminado, principalmente por serem drogas que levam à dependência, entre outras Reações Adversas a Medicamentos. Dessa forma, há necessidade de conhecer o perfil de consumo para buscar estratégias para seu uso racional, além de servir como banco de dados, visto que o município de Macapá é carente de informações farmacoepidemiológicas, dificultando o direcionamento de ações de saúde, por parte dos órgãos reguladores sanitários. O objetivo deste estudo foi avaliar o consumo de medicamentos psicotrópicos no Município de Macapá-AP. Foram analisadas 200 amostras dos pacientes que procuravam as redes de drogarias para a compra de medicamentos psicotrópicos. O instrumento utilizado foi um questionário farmacoepidemiológio elaborado pelo pesquisador. A coleta dos dados ocorreu em 2 redes de drogarias, as quais foram chamadas de drogaria I e II. Os resultados obtidos foram analisados no programa Bioestat 5.0, com realização dos testes ANOVA e regressão logística múltipla. Apresentando média de idade de 41.5 (±18.9) anos drogaria I e 45.9 (±18.4) anos drogaria II. Sendo o gênero feminino o maior consumidor desses psicotrópicos, 61,7% (rede de drogaria I) e 62,2% (drogaria II). A média de valor gasto na drogaria I foi de R$ 54,30 com a moda R$ 65,00, na drogaria II R$ 10,20 sendo a moda R$ 65,00. A renda familiar de R$ 4.000,00 − R$4.999,00 foi a mesma nas duas redes, 10% drogarias I e 4,3% drogaria II. A maioria dos pacientes das drogarias I e II possui ensino superior completo, sendo 53,4% na drogaria I e 33,5% na drogaria II. No teste de regressão logística múltipla houve relação significativa entre o consumo de antiepilético em todas as faixas de renda familiar. Os medicamentos psicotrópicos das listas “A3, B1 e B2” mais dispensados pela drogaria I foram os anorexígenos, ansiolíticos, antiepiléticos, psicoestimulantes e hipnóticos e sedativos, respectivamente. E pela rede II, os ansiolíticos, antiepiléticos, os anorexígenos e os psicoestimulantes tiveram a mesma quantidade dispensada, os menos dispensados foram os hipnóticos sedativos. Todos os medicamentos dispensados foram classificados no sistema ATC/DDD. O consumo de medicamentos psicotrópicos ocorre de forma indiscriminada, neste contexto, existe a necessidade de implementação de serviços que assegurem o uso racional, com a participação dos profissionais médicos e farmacêuticos, ofertando todas as orientações farmacológicas.