bluuebunny/crossref_metadata_2025 huggingface dataset:
Disponibilidade no acervo do Portal de Periódicos CAPES dos periódicos citados em teses da Universidade Federal de Santa Catarina
Authors: Lorensi do Canto Fabio , Pinto Adilson Luiz
Published: March 2019

Este trabalho tem por objetivo verificar a disponibilidade no acervo do Portal de Periódicos CAPES dos periódicos científicos citados em teses da Universidade Federal de Santa Catarina. Visa também analisar os periódicos com mais artigos citados, identificando o país de origem, a indexação nas bases de dados Web of Science, Scopus, Latindex e SciELO e a classificação Qualis. Essas análises serão realizadas comparativamente a partir das nove grandes áreas do conhecimento da CAPES, visando detectar semelhanças e diferenças entre os padrões de uso de periódicos e as necessidades informacionais dos pesquisadores doutorais. Utiliza as técnicas de amostragem estratificada uniforme e aleatória simples para definir a amostra de 90 teses, sendo dez de cada grande área do conhecimento, correspondendo a 20,3% do total de 443 teses defendidas em 2015 na Universidade Federal de Santa Catarina. Os resultados mostram que 84,76% dos periódicos eletrônicos citados nas teses estão disponíveis no Portal, sendo Ciências Biológicas (94,15%) a área com maior disponibilidade e Linguística, Letras e Artes (69,23%), com menor disponibilidade. Periódicos estrangeiros, sobretudo dos Estados Unidos, da Inglaterra e da Holanda, são os mais utilizados na maioria das áreas, exceto nas Ciências Sociais, Humanas e Linguística, Letras e Artes, que utilizam mais periódicos nacionais. Do total de periódicos do núcleo, 71% está indexado na Web of Science, 82% na Scopus, 9% no Latindex e 16% no SciELO. Periódicos A1 e A2 são mais utilizados na média geral. Constata-se, portanto, que o acervo Portal de Periódicos CAPES é significativamente adequado as necessidades dos pesquisadores doutorais, principalmente nas ciências naturais, tecnológicas e da saúde, áreas que fazem maior uso de periódicos estrangeiros, indexados na Web of Science e na Scopus e de classificação Qualis A1 e A2.
Curadoria Digital de dados e Web de Dados: mantendo Dados Abertos Conectados para estudos bibliométricos e cientométricos
Authors: Rautenberg Sandro , Hild Tony Alexander , De Souza Lucélia
Published: March 2019

Discorre sobre os primeiros passos em direção à Curadoria Digital de índices cientométricos como Dados Abertos Conectados na Web de Dados. Por se tratar de um relato de experiência, com sua base constitutiva permeando a interdisciplinaridade, o procedimento metodológico é baseado nos ciclos de vida da Curadoria Digital proposto pelo Digital Curation Centre e do Linked Data Lifecycle proposto pelo grupo de pesquisa Agile Knowledge Engineering and Semantic. Como resultado, implementa-se o endpoint  , custodiando os recursos de dados do histórico de três índices cientométricos (Qualis, SJR e SNIP, no período 2005-2016). Diante disso, os referidos índices estão disponibilizados na Web de Dados, privilegiando o acesso, o reuso, a interoperabilidade e a processabilidade de seus recursos para com outras pesquisas bibliométricas/cientométricas. Conclui-se que, ao custodiar três conjuntos de índices cientométricos como Dados Abertos Conectados, o endpoint   permite: i) a encontrabilidade dos recursos na Web de Dados; ii) a navegabilidade entre os elementos distribuídos na web; iii) a exploração informacional do relacionamento entre os recursos disponibilizados; e iv) a replicação de resultados em estudos científicos ao longo do tempo.
Agradecimentos por financiamento na produção científica brasileira representada na Web of Science
Authors: Alvarez Gonzalo Rubén , Caregnato Sônia Elisa
Published: March 2019

Agradecimentos presentes em artigos representam um fenômeno social e oferecem caminhos alternativos para o estudo da pesquisa financiada (agradecimentos de natureza “financeira”) e da colaboração ‘oculta’ (agradecimentos de natureza “não financeira”) na produção científica. Analisou-se os agradecimentos por financiamento – funding acknowledgements (FA) – identificados nas publicações brasileiras de 2009-2016 indexadas na Web of Science (WoS), observando características da pesquisa financiada por área. O corpus é composto por 268.779 artigos, dos quais 71,4% incluem informações sobre agradecimentos por financiamento. A maior presença de FA em periódicos Q1, quando comparada à da totalidade de periódicos (todos os quartis) e em artigos minimamente citados, quando comparada à da totalidade de artigos sem FA minimamente citados, pode ser considerada um indicador de qualidade da pesquisa financiada no Brasil. De modo geral, a presença de FA em disciplinas de natureza teórica e social de áreas como Ciências Sociais e Humanidades é significativamente baixa em comparação às disciplinas de áreas de natureza experimental e aplicada como Física e Química e indica uma menor dependência de financiamento das primeiras. Os resultados revelam uma maior presença de FA em artigos de múltipla autoria, provavelmente como consequência da complexidade e custo financeiro das investigações no interior dos teamworks. Conclui-se que a presença de agradecimentos por financiamento nos artigos brasileiros varia conforme a área em virtude das particularidades de cada uma delas (natureza e orientação da pesquisa, perfil de publicação, estrutura organizacional etc.).
Efeito Qualis e a produção científica dos Programas de Pós-Graduação da Universidade Federal de São Carlos
Authors: Maciel Raquel Santos , Faria Leandro Innocentini Lopes de , Milanez Douglas Henrique , Lança Tamie Aline
Published: March 2019

Os critérios de avaliação dos programas de pós-graduação podem ser utilizados como aportes para a gestão na medida em que permitem a elaboração de indicadores bibliométricos para o monitoramento, especialmente, da produção científica. Isso se deve, em grande parte, à maior valorização desse item no momento da avaliação. Nesse contexto, esta pesquisa tem como objetivo investigar a dinâmica de produção intelectual, particularmente artigos científicos em periódicos, dos Programas de Pós-Graduação da Universidade Federal de São Carlos, por meio da elaboração de indicadores bibliométricos e análise de redes a fim de observar a relação entre a publicação de artigos em estratos Qualis e as notas dos programas. De abordagem quantitativa, natureza aplicada e caráter exploratório, realizou-se a extração de dados da Plataforma Lattes por meio da ferramenta SyncLattes a partir de lista de 1.215 docentes credenciados na categoria permanente no período de 2010-2017, que resultou em 16.275 registros bibliográficos referentes aos artigos científicos em periódicos. Os dados foram importados para o software VantagePoint e tratados com thesaurus que associaram o IDLattes dos docentes ao período de credenciamento nos programas e thesaurus que associaram o ISSN dos periódicos aos estratos dos Qualis Periódicos. Os indicadores bibliométricos foram elaborados nos softwares Microsoft Excel e VOSviewer e demonstraram a possibilidade de acompanhamento da produção de artigos dos programas com vistas à gestão.
Language Assessment Practices and Beliefs: Implications for Language Assessment Literacy
Authors: Giraldo Frank
Published: March 2019

This study reports the contextual Language Assessment Literacy (LAL) of five Colombian English language teachers. Two semi-structured interviews and reflective journals were used for data collection. The findings show that the teachers used varied traditional and alternative assessment instruments, assessed language and non-language constructs, used assessment information to improve teaching and learning, evaluated assessment results, and engaged students in quantitative peer assessment. As for beliefs, data show that students’ success and failure in assessment were connected to past experiences, and that assessment was appropriate given a number of features. Participants’ answers about LAL show a complex and multifaceted construct. Taken together, the findings serve as baseline data to further professional development in language assessment.
Schemata: Jurnal Pendidikan Islam Volume: 6, Nomor: 1, 2017
Authors: Muslimin Afif Ikhwanul
Published: March 2019

Schemata: Jurnal Pendidikan Islam Volume: 6, Nomor: 1, 2017
STUDENTS’ PERCEPTION ON THE IMPLEMENTATION OF ISLAMIC SCIENCE INTEGRATION IN ENGLISH TEACHING MATERIALS
Authors: Uswatun Hasanah, Mufidatunnisa
Published: March 2019

Integration of Islamic science in English language learning for Muslim students is a necessity that should be realized by every teacher, especially in developing teaching materials that are applied in the classroom. This study aims at finding out the perception of STAIN Watampone students particularly Islamic Education program that have taught English by using integrated Islamic science material. Using interviews, it was revealed that the students give positive attitudes toward the implementation of Islamic science into teaching English material. The result shows that the use of integrated English and Islamic material can produce a lot of interest and a make learning activities more effective and efficient. This gives an indication that the teacher or the stake holder can formulate the integrated teaching materials to suit the needs and interests of students.

 

Keywords: Integration, Islamic science, Teaching material
Finite volume method for a coupled Stokes-Darcy problem
Authors: Rhoudaf M. , StaÃrli Naoufal
Published: March 2019

In this paper we propose a finite volume method to solve the coupled Stokes-Darcy problem using steady Stokes equations for the fluid region and Darcy equations for the porous region.

At the contact interface between the fluid region and the porous media we imposed two conditions. The first one is the normal continuity of the velocity, while the second one is the continuity of the pressure. Furthermore, due to the lack of information about both the velocity and the pressure on the interface, we will use schwarz domain decomposition method. In Darcy equations, the tensor of permeability will be considered as variable, since it depends on both the prop- erties of the porous medium and the viscosity of the fluid. Numerical examples are presented to demonstrate the efficiency of the proposed method
PENGARUH PERSEPSI WAJIB PAJAK ORANG PRIBADI PEKERJAAN BEBAS ATAS TAX RATE DAN PENALTY RATE TERHADAP TAX EVASION (Studi Empiris: KPP MULYOREJO)
Authors: Ma’ruf Mujahid , Mustikasari Elia
Published: March 2019

The aim of this research is to test about taxpayer’s perception of freelance of tax rate and penalty rate toward tax evasion.The dependent variable in the study was perception of tax evasion. The independent variable research were perception of tax rate and penalty rate. Population in this research is freelance taxpayers who have taxpayment card. The amount of sample used is 100 respondens collected with accidental sampling. Data program using SPSS (Statistical Product and Service Solution) version 18. Analysis method used in this research is multiple linear regression, determination coefficients (R2), and differential test of t-test.The research results showing that tax rate variable has the positive significant influence to tax evasion. Penalty rate has the negative significant influence to tax evasion.
ANALISA FAKTOR – FAKTOR YANG MEMPENGARUHI MINAT MASYARAKAT BERINVESTASI DI PASAR MODAL SYARIAH MELALUI BURSA GALERI INVESTASI UISI
Authors: Malik Ahmad Dahlan
Published: March 2019

Sebagai upaya untuk pertumbuhan perekonomian negara setelah terjadinya finansial krisis di seluruh perekonomian dunia, dan sebagai upaya untuk menunjang kebijakan yang dilakukan oleh pemerintah, diperlukannya investor untuk memberikan perannya melalui pasar modal. Sebagai perkembangan pasar modal untuk mengurangi ketidak pastian dan peran pasar modal dalam segi riil, terbentuklah pasar modal syariah yang bertujuan untuk menampung investor baik dari Muslim maupun non muslim. Sebagai upaya perkembangan investor dalam perannya di pasar modal syariah, diperlukannya analisa untuk investor agar berminat untuk menanamkan modal mereka di pasar modal syariah. Dalam tujuannya tersebut, dilakukanlah penelitian ini dengan menganalisa faktor – faktor yang mempengaruhi minat investor melalui bursa galeri investasi UISI berupa faktor risiko, level pendapatan, motivasi, pengetahuan, persepsi, dan belajar dalam berinvestasi di pasar modal syariah. Dari hasil penelitian yang dilakukan menghasilkan model Y = 0,011 + 0,386 X1 + 0,380 X2 + 0,290 X3 – 0,016 X4 – 0,045 X5 – 0,005 X6. Dari model tersebut yang menjadi peran signifikan adalah dari variabel risiko, pendapatan dan motivasi yang penting untuk diperhatikan terhadap responden atau investor di BGIU (Bursa Galeri Investasi UISI) dibanding yang lain karena variabel tersebut berregresi positif
Kualitas Produk, Citra Merek dan Persepsi Harga Terhadap Proses Keputusan Pembelian Konsumen Sepeda Motor Matic “Honda”
Authors: Fatmawati Nurul , Soliha Euis
Published: March 2019

The purpose of this study was to analyze the effect of product quality, brand image and perception of the price of the consumer buying decision process matic Honda motorcycles. The population in this study were matic Honda motorcycle users. The samples in this study using purposive sampling, which means that sample based on specific criteria, namely: those who are older and those who use and have matic Honda motorcycles. The analytical tool used is multiple linear regression analysis. The results of the analysis can be concluded that: product quality, positive influence on consumer buying decision process matic Honda motorcycles. Brand image positive influence on consumer buying decision process matic Honda motorcycles. Perception price positive influence on consumer buying decision process matic Honda motorcycles.
Pengaruh Faktor Internal Terhadap Keberhasilan Start-Up Bisnis Di Kota Surabaya
Authors: Br Sitepu Sri Natasha
Published: March 2019

Start-up businesses in Surabaya has developed quite rapidly. The majority of Surabaya city's economy is driven by the industrial sector and the business sector. The successful start-up business in Surabaya is influenced by internal and external factors. Internal factors from the standpoint of companies can be divided into four groups: marketing, human resources, finance, and operations. The object of this study is a start-up business that is / operating in the city of Surabaya. Total sample of 80 respondents. This research uses quantitative methods in the processing of data and information. The aim of research to determine the effect the management of internal factors in the success of a start-up business seen from the perspective of companies. This study uses a quantitative method with multiple regression analysis techniques. The results showed the management of internal factors (marketing, human resources, finance, and operational) at the same time have a positive influence on the success of start-up businesses Surabaya. This study contributes to the entrepreneur in order to optimize the management of internal factors to the success of start-up businesses.
Market Performance, Roe, Cash Flow Dan Keputusan Investasi Dengan Cash Holdings Sebagai Moderasi Pada Perusahaan Manufaktur Di Indonesia
Authors: Sudana I Made , Rachmawati Heti
Published: March 2019

This study aims to determine the effect of market perfomance, ROE, cash flow and investment decisions with cash holdings as a moderating in manufacturing company in Indonesia which is listed on the Stock Exchange from 2012 to 2015. This study took 112 manufacturing companies in Indonesia. Research methods band is used in this study using purposive sampling method. Dependent variable in this research is investment decisions were measured by capital expenditure. Independent variables in this study is the market performance measured by Tobin's q, return on equity, cash flow, while moderating variable in this study is cash holdings. The method used in this research is multiple linear regression analysis. The results of this study significantly show that market performance, cash flow positive influence on investment decisions, while ROE negative effect on investment decisions. The influence of of cash flow to capital expenditure is moderated by cash holding that indicated by significant negative influence.
Cyber Risk in IoT Systems
Authors: Radanliev Petar , De Roure David Charles , Maple Carsten , Nurse Jason R.C. , Nicolescu Razvan , Ani Uchenna
Published: March 2019

In this paper we present an understanding of cyber risks in the Internet of Things (IoT), we explain why it is important to understand what IoT cyber risks are and how we can use risk assessment and risk management approaches to deal with these challenges. We introduce the most effective ways of doing Risk assessment and Risk Management of IoT risk. As part of our research, we also developed methodologies to assess and manage risk in this emerging environment.  This paper will take you through our research and we will explain: what we mean by the IoT; what we mean by risk and risk in the IoT; why risk assessment and risk management are important; the IoT risk management for incident response and recovery; what open questions on IoT risk assessment and risk management remain.
Cyber Risk impact Assessment - Assessing the Risc from the IoT to the Digital Economy
Authors: Radanliev Petar , Roure Dave De , Nurse Jason R.C. , Nicolescu Razvan , Huth Michael , Cannady Stacy , Montalvo Rafael Mantilla
Published: March 2019

We present an updated design process for adapting and integrating existing cyber risk assessment approaches for impact assessment for the risk from IoT to the digital economy. The new design process includes a set of changes to the original standards (e.g. NIST) that are adapted for the IoT cyber risk in this paper. This paper also presents a new framework for impact assessment of IoT cyber risk, specific for the digital economy.
Nonlinear Schrödingers equations with cubic nonlinearity: M-derivative soliton solutions by $\exp(-\Phi(\xi))$-Expansion method
Authors: Houwe Alphonse , Hammouch Zachia , Bienvenue Dépélair , Nestor Savaissou , Betchewe Gambo , DOKA Serge Y.
Published: March 2019

This paper uses the $\exp(-\Phi(\xi))$-Expansion method to investigate solitons to the M-fractional nonlinear Schrödingers equation with cubic nonlinearity.  The results obtained are dark solitons, trigonometric function solutions, hyperbolic solutions and rational solutions. Thus, the constraint relations between the model coefficients and the traveling wave frequency coefficient for the existence of solitons solutions are also derived.
Review on Opportunistic Routing Protocols for Dynamic Ad hoc Networks: Taxonomy, Applications and Future Research Directions
Authors: Menon Varun G.
Published: March 2019

Opportunistic routing uses the broadcasting nature of the wireless medium to increase the number of potential forwarding nodes in the network. This, in turn improves the delivery rate and reliability of data transmission in the network. Compared to all previous classes of protocols, opportunistic routing offers numerous advantages which is exploited by the latest applications for efficient communication and resource sharing in dynamic ad hoc networks. The objective of this research work is to review and classify all the major opportunistic routing protocols proposed for dynamic ad hoc networks. Further the issues and challenges with each of these existing protocol is discussed and future research directions are put forward.
Using Synchronous Fluorescence to Investigate Compounds and Interactions Influencing Foam Characteristics in Sparkling Wines
Authors: Condé Bruna , Robinson Alanna , Bodet Amandine , Monteau Anne-Charlotte , Fuentes Sigfredo , Scollary Geoffrey , Smith Trevor , Howell Kate S.
Published: March 2019

The appearance of bubbles and foam can influence the likeability of a wine even before its consumption. Since foams are essential to visual and taste attributes of sparkling wines, it is of great importance to understand which compounds affect bubbles and foam characteristics. The aim of this work was to investigate the effect of interactions among proteins, amino acids, and phenols on the characteristics of foam in sparkling wines by using synchronous fluorescence spectroscopy techniques. Results has shown that several compounds present in sparkling wines influence foam quality differently, and importantly, highlighted how the interaction of those compounds might result in different effects on foam parameters. Amongst the results, mannoproteins were found to be most likely to promote foam and collar stability, while phenols were likely to increase the ratio of small bubbles and collar height in the foam matrix. In summary, this work contributes to a better understanding of the effect of wine compounds on foam quality as well as the effect of the interactions between those compounds.
Faraday's Law and Magnetic Induction: Cause and Effect
Authors: Kinsler Paul
Published: March 2019

Faraday's Law of induction is often stated as "a change in magnetic flux causes an EMF"; or, more cautiously, "a change in magnetic flux is associated with an EMF"; It is as well that the more cautious form exists, because the first "causes" form can be shown to be incompatible with the usual expression for EMF. This is not, however, to deny the causality as reasonably inferred from experimental observation ­ it is the equation for Faraday's Law of induction which does not represent the claimed cause-and-effect relationship. Here we investigate a selection of different approaches, trying to see how an explicitly causal mathematical equation, which attempts to encapsulate the "a change in magnetic flux causes ..." idea, might arise.
Stylized Innovation: Interrogating Incrementally Available Randomised Dictionaries
Authors: Kinsler Paul
Published: March 2019

Inspired by recent work of Fink, Reeves, Palma and Farr [1] on innovation in language, gastronomy, andtechnology, I study how new symbol discovery manifests itself in terms of additional "word" vocabulary being available from dictionaries generated from a finite number of symbols. Several distinct dictionary generation models are investigated using numerical simulation, with emphasis on the scaling of knowledge as dictionary generators and parameters are varied, and the role of which order the symbols are discovered in.
Supply Chain Design for the Industrial Internet of Things and the Industry 4.0
Authors: Radanliev Petar , De Roure David , Nurse Jason R.C. , Mantilla Montalvo Rafael , Burnap Peter
Published: March 2019

Digital technologies have changed the way supply chain operations are structured. In this article, we develop design principles to show determining factors for an Internet-of-Things approach within Supply Chain Management. From the design principles, the article derives a new model for the Industrial Internet of Things supply chains. The focus is on Small and Medium Enterprises (SMEs). This research design results in a new process of compounding knowledge from existing supply chain models and adapting the cumulative findings to the concept of supply chains in the Industrial Internet of Things. The paper outlines the design principles for developing cognition in the process of integrating SME’s digital supply chains in the Industrial Internet of Things (IIoT) and the Industry 4.0 (I4.0).
Developing Bid-Ask Probabilities for High-Frequency Trading
Authors: Ingber Lester
Published: March 2019

Methods of path integrals are used to develop multi-factor probabilities of bid-ask variables for use in high-frequency trading (HFT). Adaptive Simulated Annealing (ASA) is used to fit the nonlinear forms so developed to a day of BitMEX tick data. Maxima algebraic code is used to develop the path integral codes into C codes, and sampling code is used for the fitting process. After these fits, the resultant C code is very fast and useful for forecasting upcoming ask, bid, midprice, etc., when narrow and wide windows of incoming data are used. A bonus is the availability of canonical momenta indicators (CMI) useful to forecast direction and strengths of these variables.
Focal Plane Array Infrared Imaging of Linear Polymeric Patterns
Authors: Honda Reo , Ryu Meguya , Moritake Masayuki , Balcytis Armandas , Mizeikis Vygantas , Vongsvivut Jitraporn , Tobin Mark , Appadoo Dominique , Li Jing-Liang , Ng Soon Hock , Juodkazis Saulius , Morikawa Junko
Published: March 2019

A focal plane array (FPA) detector was used for hyperspectral imaging in the infrared (IR) spectral region using thermal and synchrotron light sources. FPA Fourier-transform IR (FTIR) imaging microspectroscopy will be able to monitor real time changes at specific absorption bands when combined with high brightness synchrotron source. In this study, several types of samples with unique structural motifs were selected and used for assessing the capability of the FPA-FTIR imaging technique. It was shown that the time required for polariscopy at IR wavelengths can be substantially reduced by the FPA-FTIR imaging approach. By using natural and laser fabricated polymers with sub-wavelength features, alignment of absorbing molecular dipoles was revealed as well as higher order patterns (laser fabricated structures). Micro-spectroscopy of absorber orientation reveals alignment patterns even when they are not spatially resolved.
On Generalized Tetranacci Quaternions
Authors: Soykan Yüksel , Okumus Inci , Göcen Melih
Published: March 2019

In this paper, we introduce the generalized Tetranacci quaternions and present some properties of these quaternions.
Feature Extraction of Foam Nickel Surface Based on Multi-Scale Texture Analysis
Authors: Li Jianqi , Cao Binfang , Nie Fangyan , Zhu Minhan ,   Hunan Province Cooperative Innovation Center for the Construction & Development of Dongting Lake Ecological Economic Zone, Hunan University of Arts and Science 3150 Dong Ting Road, Changde, Hunan 415000, China,   College of Electrical and Information Engineering, Hunan University of Arts and Science 3150 Dong Ting Road, Changde, Hunan 415000, China
Published: March 2019

In the foam nickel process, texture is the indicator of foam nickel performance. In order to recognize foam nickel surface defects accurately and provide guidance for production operations, this paper proposes a method for extracting foam nickel image textures based on multi-scale texture analysis. First, nonsubsampled contourlet (NSCT) is used to carry out foam nickel image multi-scale decomposition, and the low-frequency and high-frequency components following decomposition are used to characterize different defect details. Then, the Haralick eigenvalue, which measures the foam nickel image texture information at each sub-band, is calculated. The KPCA and optimal DAG-SVM are adopted in order to reduce the parameter dimension and clarify defects. Tests are carried out on the foam nickel surface image samples, including crack, scratch, pollution, leakage, and indentation tests. The results indicate that the method proposed in this paper can extract different pieces of detailed texture information and can achieve a defect-identifying accuracy of up to 88.9%.
Changes in Body Representation of the Human Upper Limb as a Function of Movement and Visual Hand Position
Authors: Hamasaki Shunsuke , An Qi , Wen Wen , Tamura Yusuke , Yamakawa Hiroshi , Unenaka Satoshi , Shibuya Satoshi , Ohki Yukari , Yamashita Atsushi , Asama Hajime ,   Department of Precision Engineering, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan,   Department of Sport Education, School of Lifelong Sport, Hokusho University 23 Bunkyodai, Ebetsu, Hokkaido 069-8511, Japan,   Department of Integrative Physiology, Kyorin University School of Medicine 6-20-2 Shinkawa, Mitaka-shi, Tokyo 181-8611, Japan
Published: March 2019

Several disease presentations are linked to a mismatch between the real body and the body’s internal representation of itself. In order to develop effective rehabilitation therapies, it is necessary to understand the mechanisms underlying changes in body representation. In this study, we focused on changes in body representation of the upper limb as a large part of the body and investigated the conditions under which such changes occur. Participants were presented four conditions which differentially affected their sense of ownership and agency, including a movement condition related to their sense of agency, and a visual hand information condition related to the sense of ownership. In the experiment, participants were asked to move their upper limb forward and backward on a manipulandum. Results of the study showed that visual hand position affected changes in body representation relevant to both conscious and unconscious body parts. In addition, changes in the representation of the unconscious body part occurred with, and were dependent on, active movement.
Parameter Learning for an Intuitionistic Fuzzy Belief Rule-Based Systems Based on Weight and Reliability
Authors: Wang Yanni ,   China Electronics Standardization Institute No.1 Andingmen East Street, Dongcheng District, Beijing 100007, China,   Beihang University No.37 Xueyuan Road, Haidian District, Beijing 100083, China
Published: March 2019

The intent of the parameter learning is to ensure the accuracy of intuitionistic fuzzy belief rule-based systems (IFBRBSs) considering both weight and reliability. The main contribution is that distinguish reliability and weight respectively treated as intrinsic and extrinsic properties of evidence. A parameter learning method considering both reliability and weight determined by internal and external conflicts (PL-RW-IEC) is proposed. Evidence reasoning with reliability and weight is introduced as a basis of the learning process. After learning, the mean square error (MSE) between the real output and the simulated output decreases 75 times. Compared to the parameter learning considering both reliability and weight determined by Dempster’s conflict (PL-RW-DC) and compared to the parameter learning not considered reliability (PL-NR), the PL-RW-IEC method gets the most accurate result according to the MSE.
Multi-Objective Optimization for Gas Distribution in Continuous Annealing Process
Authors: Zhang Yongyue , Cao Weihua , Qu Qilin ,   School of Information Science and Engineering, Central South University Changsha 410083, China,   School of Automation, China University of Geosciences Wuhan 430074, China,   Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074, China
Published: March 2019

In this study, the phenomenon of uneven gas distribution at different sections in the continuous annealing process, which affects the instability of the section furnace temperature and can cause accidents that exceed safety thresholds for a long period, was analyzed to establish a furnace temperature prediction model and a multi-objective optimization method for section gas was proposed. First, the industrial production process was analyzed to extract key factors that affect furnace temperature and combine them with the SVR algorithm to establish a prediction model for furnace temperature. Then, a multi-objective optimization constraint set and optimization objective function were constructed based on the constraints of the production process and equipment conditions. Finally, based on the prediction model, the constraint set, and the objective function, a multi-objective optimization algorithm was employed to optimize section gas based on the NSGA-III. The experimental verification and production results demonstrate that a model constructed using actual collected data yields excellent prediction results. When the multi-objective optimization method was implemented and put into production, the steel coil over-temperature alarm ratio was reduced and the average over-temperature alarm time was greatly reduced. The proposed method improves the production environment and ensures that the procss is safe and stable.
Trajectory Tracking and Control Algorithm for Precision Parallel Robot
Authors: Chen Shanshan ,   Mechanical and Electrical College, Chongqing College of Electronic Engineering Shapingba District, Chongqing 401331, China
Published: March 2019

When the state of the robot reaches the smooth sliding plane, the current algorithm will generate high-frequency chattering, resulting in larger tracking error and longer response time. To solve these problems, we have proposed a trajectory tracking and control algorithm based on exponential reaching rate. The coordinate system of parallel robot system is established, and the kinetic energy and potential energy of the system are calculated. The results are brought into the Lagarnge equation to find the dynamic model of the system. The power amplifier, electro-hydraulic servo valve, hydraulic cylinder and its load are taken as generalized controlled objects, and the hydraulic servo system model is established. The exponential approaching rate is introduced to design the dynamics model and the trajectory tracking sliding controller of the hydraulic servo system model. By adjusting the upper and lower bounds of the external disturbance of the controller, the control rate is changed, the buffeting occurrence is reduced, and the response time is shortened, to realize the low error tracking of any trajectory of the robot. The experimental results show that the trajectory of the robot can be adjusted quickly and the desired trajectory is better tracked by the end.
Extension Priority Evaluation Extension Model for Quality Evaluation of Innovation and Entrepreneurship Education
Authors: Zhou Yingying , Wu Leilei ,   School of Marxism, Ningbo Dahongying University No.899 Xueyuan Road, Haishu, Ningbo, Zhejiang 315175, China,   School of Information Engineering, Ningbo Institute of Education No.899 Xueyuan Road, Haishu, Ningbo, Zhejiang 315175, China
Published: March 2019

The quality evaluation of innovation and entrepreneurship education is of vital importance. On the basis of analyzing the current research of the quality evaluation of innovation and entrepreneurship education, this paper constructs the efficient innovation and entrepreneurship education quality evaluation system of 4 dimensions: innovation and entrepreneurship curriculum and activities, innovation and entrepreneurship education conditions, innovation and entrepreneurship education channels, innovation and entrepreneurship education effectiveness and 16 sub indicators, establishes the extension priority-degree evaluating model, and makes empirical study for 3 universities in Ningbo City, so as to put forward the corresponding suggestions.
A Sketch Recognition Algorithm Based on Bayesian Network and Convolution Neural Network
Authors: Hou Xiang ,   School of Intelligent Manufacturing, Sichuan University of Arts and Science No.519 Tashi Road, Dazhou, Sichuan 635000, China
Published: March 2019

Most of the existing sketch recognition algorithms are used to restrict the user’s drawing habits to achieve the stroke grouping and recognition. In order to solve the problem, a new sketch recognition algorithm based on Bayesian network and convolution neural network (CNN) is proposed. First, the input sketch is processed by Gaussian low-pass filter and a smoother stroke can be obtained. The stroke of continuous input is divided, then the Bayesian network and CNN are performed on stroke recognition respectively. The recognition result of Bayesian network is adopted when the reliability of stroke is larger than the threshold, otherwise recognition result of CNN will be adopted. The experiment result shows that the proposed algorithm is effective in circuit symbol recognition. The recognition rate was achieved 80.34% in the drawing process, and the final recognition rate was achieved 93.48%.
Research on Policy Text Clustering Algorithm Based on LDA-Gibbs Model
Authors: Ma Haiqun , Zhang Tao ,   Center for Russian Language Literature and Culture, Heilongjiang University Harbin, Heilongjiang 150080, China,   Research Center of Information Resource Management, Heilongjiang University Harbin, Heilongjiang 150080, China,   Information and Network Center, Heilongjiang University Harbin, Heilongjiang 150080, China
Published: March 2019

Policy text contains large amount of diversified data and strictly conforms to standards and specifications, but the traditional text clustering method cannot solve the problems of high dimensionality, sparse features, and similar meanings, so this paper proposes a weighted algorithm based on the LDA-Gibbs model to improve the accuracy of policy text clustering. Firstly, it provides realistic basis for the assumptions of the LDA-Gibbs topic model and the weighted algorithm; secondly, it pre-processes the existing policy text simulated data, establishes the LDA-Gibbs model, forms a weighted algorithm, and generates training data to determine the number of optimal topics in the LDA-Gibbs model and completes the final clustering of the policy text; finally, by summarizing, classifying and deducing the conclusions of the experimental data, this paper proves the objective validity and effects of this method. Hopefully the overall design of this method can be applied in the prospective study on the formulation of new policies in the future, the retrospective evaluation and testing of the existing policies and the formation of a two-way interactive mechanism.
Robot Navigation Algorithm Based on Sensor Technology and Iterative Maximum a Posteriori Estimation
Authors: Zheng Na ,   College of Electrical and Information Engineering, Beihua University No.1 Xinshan Street, Longtan District, Jilin City, Jilin 132021, China, Du Yanli , Bai Qinghua
Published: March 2019

The hybrid sensor network is mainly composed of static and dynamic sensor nodes. The dynamic node is the mobile robot with wireless sensor module installed. This paper proposes a robot navigation algorithm based on sensor technology and iterative maximum a posteriori estimation. It uses Kalman filter and least-squares fitting to improve RSSI measurement accuracy and the mobile robot only needs to use the received signal strength (RSSI) and odometer information to realize autonomous navigation in the sensing area. Moreover, static nodes are randomly deployed in the sensing area without a priori location information. Therefore, this algorithm has the advantages of low cost and ease of deployment. Both simulation and outdoor field experiments show the performance and effectiveness of the algorithm.
Application of Decision Making Algorithm for Green Electromechanical Product Design Optimization
Authors: Zhang Yi , Meng Qinghui ,   School of Mechanical and Electrical Engineering, Henan Polytechnic Institute No.666 Kongming Road, Nanyang, Henan 473000, China,   School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology 200 Xiaolingwei, Nanjing 210094, China,   School of Control Engineering, Henan University of Science And Technology No.666 Kongming Road, Nanyang, Henan 473000, China
Published: March 2019

Green products are considered to be the only way for human beings to follow the strategy of sustainable development. They have become one of the hotspots of modern design, manufacture and consumption. A green design method of electromechanical products based on case-based reasoning is presented in this paper. This paper puts forward and uses a “EW&AHP fusion technology” to scientifically determine the index weight, and uses multi target decision-making method to design the index system, establish the evaluation optimization algorithm model of green electromechanical product design scheme, and comprehensively evaluate and optimize the green product design scheme from the aspects of economy, technology and green. Sort, provide decision support for production and operation of related enterprises. The results show that the algorithm can not only give full play to the role of the data itself, but also fully reflect the green requirements of the green electromechanical products, and also give consideration to the profit goal of the enterprise.
Prediction and Demonstration of Coupling Development for Regional Logistics Economic Environment System
Authors: Yao Jinxin , Ye Man ,   Rongcheng College, Harbin University of Science and Technology No.2006 College Road, Rongcheng, Shandong 264300, China,   School of Management, Harbin Institute of Technology No.92 Dongdazhi Street, Harbin, Heilongjiang 150001, China
Published: March 2019

The constitution of regional logistics economic environment system has been defined. The concepts of system coupling, coupling development and coupling development degree have been explained. Nonlinear autoregressive model of BP Neural Network is selected as the prediction model for coupling development degree. Coupling development degree of RLEES from 2003 to 2020 has been calculated and predicted by using the data of the Northeastern Region. The programming implementation is in MATLAB. The simulation result shows the logistics delay effect is 2 years. The prediction results showed that the coupling development degree of Northeast LEES is gradually improving with the improvement of economic growth and structural development.
The Application of A-CNN in Crowd Counting of Scenic Spots
Authors: Luo Wanli ,   College of Information and Engineering, Sichuan Tourism University No. 459 Hongling Road, Longquanyi District, Chengdu, Sichuan 610000, China, Wang Jialiang
Published: March 2019

In places where people are concentrated, such as scenic spots, the statistical accuracy of existing crowd statistics algorithms is not enough. In order to solve this problem, a crowd counting algorithm based on adaptive convolution neural network (A-CNN) is proposed, which is based on video monitoring technology. The process of its pooling is dynamically adjusted according to different feature graphs. Then the pooled weights are adjusted adaptively according to the contents of each pooled domain. Therefore, CNN can extract more accurate features when processing different pooled domains under different iteration times, so as to achieve adaptive effect finally. The experimental results show that the proposed A-CNN algorithm has improved the recognition accuracy.
Lean Rate of Posts in Different Departments Based on ANP Method
Authors: Yang Le , Jiang Guozhang , Li Gongfa , Chen Xiaowu ,   Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology No.947 Heping Road, Qingshan District, Wuhan, Hubei 430081, China,   Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology No.947 Heping Road, Qingshan District, Wuhan, Hubei 430081, China,   3D Printing and Intelligent Manufacturing Engineering Institute, Wuhan University of Science and Technology No.947 Heping Road, Qingshan District, Wuhan, Hubei 430081, China,   Research Center of Biologic Manipulator and Intelligent Measurement and Control, Wuhan University of Science and Technology No.947 Heping Road, Qingshan District, Wuhan, Hubei 430081, China
Published: March 2019

It is critical in a multi-sectoral company to unify the understanding of lean management, and it is conducive to solidly promoting the improvement and innovation of the company’s overall management. The parameter of the lean rate can reflect the lean situation of the enterprise and the company’s departments in a more intuitive method. At the same time, this parameter allows all departments of the company to measure their own management which is based on this, and implement a reasonable lean management.
A Correlation Evaluation Method for Complex Objects
Authors: Wang Huan , Meng Qingyuan , Ouyang Min , Liang Ruishi ,   Zhongshan Institute, University of Electronic Science and Technology of China No.1 Xueyuan Road, Shiqi District, Zhongshan, Guangdong 528400, China,   Key Laboratory of Intelligent Information Perception and Processing Technology No.88 Taishan Road, Tianyuan District, Zhuzhou, Hunan 412008, China
Published: March 2019

Data correlation evaluation is the basis for data analysis, and the academic community has proposed many indicators to evaluate it, such as the Euclidean distance, and angle cosine, and so on. However, it is difficult for these indicators to effectively express the correlation degree of complex objects. Using traffic intersections as an example, this article proposes an effective method to evaluate the correlation between complex objects. First, based on a large quantity of basic data, a standard data format describing traffic intersection attributes was proposed. Then, experienced engineers were asked to grade the correlation between intersections. Finally, the two intersection standard format datasets were used as model inputs, the engineer correlation rating as the output of the model, and the support vector machine model was employed for training. The results of this data experiment demonstrate that the trained model can effectively express the correlation degree between traffic intersections, and therefore proves the validity of the method.
Efficient Prediction Method of Defect of Monitor Configuration Software
Authors: Wang Yan ,   Open Education Institute, Chengdu Radio and TV University No.7, Section 1, Jianshe North Road, Chenghua District, Chengdu, Sichuan 610051, China
Published: March 2019

In order to solve the problem of low efficiency in software operation, we need to research the defect prediction of monitoring configuration software. The current method has the low efficiency in the defect prediction of software. Therefore, this paper proposed the software defect prediction method based on genetic optimization support vector machines. This method carried out feature selection for the measure of complexity of software, and built software defect prediction model of genetic optimized support vector machine, and completed the research on the efficient prediction method of software defects. Experimental results show that the proposed method improves the quality of software effectively.
Research on the Method of Robot Arm Trajectory Planning Under Chaos Control
Authors: Li Zebin ,   Center of Basic Experiment, West Anhui University Lu’an, Anhui 237012, China, Zhao Jiangdong
Published: March 2019

The robot’s arm trajectory can be used to improve the quality of the robot work. The current method utilizes the searching ability of the Alopex algorithm to perform a rough search of the robot’s path of action to achieve the trajectory planning of its arm, but the planning efficiency is low. To this end, this paper uses chaos control to plan the robot arm trajectory. Based on the description of the robot arm trajectory planning, the robotic arm trajectory planning is completed by using the obstacle to the intersection time, probability prediction, motion planning strategy and real-time obstacle avoidance. Experiments show that this method can carry on the efficient planning to the robot arm trajectory.