bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fractional Order Controller Based Fuzzy Control Algorithm For Switched Reluctance Motor
Authors: Congkun Yang , Chaobo Chen , Yongsheng Fu 
Published: February 2018

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
THE DIFFERENCE OF STUDENTS’ ACHIEVEMENT IN MATHEMATICS BY USING GUIDED-DISCOVERY LEARNING MODEL AND COOPERATIVE LEARNING MODEL JIGSAW TYPE
Authors: Sitinjak Anna Angela , Mawengkang Herman 
Published: February 2018

The type of this study is a quasi-experiment study with its purpose to know any difference of students’ achievement in mathematics which using the model of guided discovery learning with cooperative learning model JIGSAW type.The population of this study is all students in SMA N 3 P. Siantar. The sampling technique applied was cluster random sampling. The experimental class I that chosen is X-1 consisted of 36 students, meanwhile the experimental class II that chosen is X-6 consisted of 36 students. The instrument used to measure the students’ mathematics achievement was a essay test. The normality test used was Lilliefor’s test, gotten that data is normal and the homogeneity test by using Fisher test, gotten that data is homogeny. The data analysis technique was t-test at the level of significance a = 5%. The study result showed that there is the difference of students’ achievement in mathematics which using the guided discovery learning model with cooperative learning model JIGSAW type in grade X SMA N 3 P. Siantar where obtained 14 tcalculation"> = 2.504 at a = 0.05 and 14ttable="> 14t(0.975,70)"> = 1.995, then 14tcalculation&gt;ttable"> ..
Avaliação do acesso a medicamentos pelos pacientes atendidos em um hospital público de alta complexidade
Authors: Franco Ribeiro Valeska , Oliveira Costa José Fernando , Calfa Brasiliano Renata Catarina 
Published: February 2018

Introdução: A compra direta de medicamentos pelos indivíduos representa uma das principais formas de acesso aos mesmos. A falta de medicamentos compromete a imagem dos serviços, podendo ocasionar em internações desnecessárias, o que acarreta uma sobrecarga nos serviços de alta complexidade, ou até mesmo no óbito do paciente. Situação mais preocupante está relacionada a pacientes portadores de doenças crônicas que necessitam de medicamentos de uso contínuo, muitas vezes com o tratamento perdurando por toda a vida do indivíduo. Objetivo: Avaliar o acesso a medicamentos por pacientes atendidos em Hospital público de alta complexidade de Salvador-Bahia. Métodos: A coleta dos dados foi realizada no ambulatório de cardiologia de um hospital público de Salvador/Bahia, antes da consulta. Foi aplicado um questionário por dois investigadores. A população alvo disponível foram os pacientes com doenças cardiovasculares em consulta ambulatorial em uso contínuo de medicamentos com idade superior a 18 anos. Realizou-se uma amostra por conveniência de pacientes atendidos no ambulatório, utilizando-se da agenda de marcação de consultas do dia, no período de dezembro de 2012 a janeiro de 2013. Resultados: Dos sessenta pacientes entrevistados, em relação aos dados gerais, trinta e sete pessoas foram do gênero feminino (62%) e 23 do gênero masculino (38%), sendo 33 adultos (55%) e vinte e sete idosos (45%). Em relação a renda, 43% recebem apenas um salário mínimo mensal. Em relação ao local de aquisição dos medicamentos, 55% (33 pacientes) adquiriram em Rede Pública e Farmácia Comercial. Dos pacientes que adquiriram os medicamentos em Rede pública/posto de saúde, 79% (30 pacientes) foram por motivo de condições financeiras; e desses pacientes, 27% (12 pacientes) afirmaram que não optaria por comprar medicamentos na farmácia comercial pelos mesmos serem entregues gratuitos na Rede pública. Dos pacientes que compram na farmácia comercial, 43% (23 pacientes) afirmaram não adquirir medicamentos na rede pública em função da falta de medicamento na unidade. Em relação ao medicamento não ser distribuído na rede pública, 56% dos pacientes (14) disseram que questionaram o médico a possibilidade de prescrever um medicamento que fosse distribuído gratuitamente pela rede pública, no entanto, o mesmo afirmou não haver substituto. Conclusão: O presente estudo alcançou o seu principal objetivo, no qual foi possível verificar que a escolha pelos pacientes para aquisição dos medicamentos em dois estabelecimentos, tanto em Rede Pública como em Farmácia Comercial, mostra que a falta de medicamentos na Rede Pública, associada com a baixa condição financeira da maioria dos pacientes, acaba dificultando no acesso aos medicamentos. Além disso, ao afirmarem que nunca deixaram de utilizar os medicamentos por não ter dinheiro para comprá-los, apesar da falta de condições, enfatiza o dever do governo em fornecer os medicamentos gratuitamente aos cidadãos.
WOUND HEALING PROPERTIES OF SYMPLOCOS RACEMOSA
Authors: Dr. M. Lakshmi Prabha N. Sreejit, 
Published: February 2018

India has a rich variety of flora that is widely distributed throughout the country. Herbal medicines have been the basis of treatment and cure for various diseases and physiological conditions in traditional methods practiced such as Ayurveda, Unani and Siddha. Medicinal components from plants play an important role in traditional as well as western medicine. Plant derived drugs has played an important role in the evolution of human, healthcare for thousands of years. Plant based drugs were commonly used in India and China. Today a substantial number of drugs are developed from plants which are active against a number of diseases.
Ayurveda is considered as the oldest medical science of the Indian Subcontinent. It has been practiced since 1000 B.C., with the objective to accomplish physical, mental, social and spiritual wellbeing, by adopting health-promoting and holistic approach towards life (Patwardhan et al., 2005). In today’s contemporary era, main emphasis is given on plant research. This is because of the fact that large evidence has been made available to show the huge potential of medicinal plants in various traditional systems (Bora et al., 2011)
Symplocos racemosa or Lodhra is a common indigenous drug, mentioned in Ayurvedic classics as a remedy for various human ailments. In Sanskrit “Lodhra” means „Propitious‟& „Tilaka‟, since the bark of the tree was used in making the Tilaka mark on the forehead (De Silva et al., 1979). Lodhra is even mentioned to as “DIVYA AUSHADHI” (Divine herb). Symplocos racemosa is a critically endangered medicinal plant attaining a height up to 10 m.Bark: Bark is smooth or rough, grey or in young parts yellowish. Leaf: Leaves are simple, alternate, lanceolate-oblong, oblong, elliptic or ellipticlanceolate, margin serrate, crenate, serrulate or entire, apex acute to acuminate or obtuse at both ends, surface glabrous or slightly pilose on the midrib.