bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Desain Bangunan Paramount Skyline Complex terhadap Aksesibilitas Driver Online ke Universitas Matana
Authors: Rilianto Zenon Hassel , Hariyanto Moses Luca
Published: April 2019

Pertumbuhan penduduk di indonesia membuat jumlah kendraan bermotor bertambah dengan pesat membuat orang semakin malas menggunkan angkutan umum. Akan tetatapi ada beberapa orang membuat aplikasi angkutan umum online seperti ojek online dan taksi online. Dengan adanya aplikasi itu orang semakin mau mengunakan aplikasi tersebut untuk meningkatkan orang untuk menggunakan angkutan umum tersebut. Banyak yang mengunakan aplikasi tersbut adalah pekerja kantoran dan mahasiswa. Untuk bangunan paramount skyline complex disini membuat aksesbilitas untuk area pejemputan untuk driver online. Untuk menentukan sirkulasi di area universitas matana. Penelitian ini menggunakan metode kuantitatif untuk mengetahui bahwa ada atau tidaknya pengaruh tersebut dengan menggunakan software SPSS versi 16. Melalui penelitian ini diharapkan dapat memberi pengetahuan mengenai pengaruh desain bangunan paramount skyline complex terhadap aksebilitas driver online ke universitas matana. Hasil penelitian ini menunjukkan bahwa ternyata memang ada hubungan yang kuat dan signifikan dengan r=0,776 dan t=8,520 antara setting peron terhadap adaptabilitas pengguna KRL. Dan pengaruh setting peron terhadap adaptabilitas pengguna KRL sebesar 60,2%.
Analisis Kualitas Produk dan Layanan Purnajual Terhadap Proses Keputusan Pembelian Konsumen Honda All New Vario 125 Melalui Citra Merek Sebagai Mediator
Authors: Afriza Edi Fitriana
Published: April 2019

Research shown to identify and analyses the associated simultaneous or partially influence of product quality and after-sales service towards the brand image, as well as its implications on product purchase decision process is All New Honda Vario 125. Survey with quantitative descriptive analysis accompanied approach is used as a method of research supported through fieldwork, research instruments questionnaires, depth-interviews, and study of the literature to obtain primary and secondary data. Simple random sampling is a sampling technique that used the techniques of the obtained sample size as much as 119 respondents continued through path analysis, t-test, F-test, and sobel test to determine the results of the research. The results of the analysis it is known that the quality of products and services Post-sale partially and simultaneous effect significant towards product brand image Honda All New Vario 125. In addition, product quality and after-sales service are partial and simultaneous have influence on product purchase decision process is All New Honda Vario 125. It is Continued by testing the sobel test of brand image which had a significant influence of decision product purchase All New Honda Vario 125. It is conducted by indirect testing from both the product quality and after-sales service to purchase decision process through the brand image.
METODE DISKUSI UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS VB PADA MATA PELAJARAN IPS DI SDN 002 BAGAN BESAR KECAMATAN BUKIT KAPUR KOTA DUMAI
Authors: Anggraini Dewi
Published: April 2019

The background of this study is the teaching and learning process in the classroom VB SDN 002 Bagan Besar, Dumai in social studies that are still dominated by teachers so that students become passive blindly accept the material provided by the teacher and the learning outcomes are not satisfactory with an average value below KKM. This study aims to determine whether there is influence of the method of discussion, both individually and classically on learning outcomes in the VB class IPS Subjects in SDN 002 Bagan Besa Kecamatan Bukit Kapur, Dumai. The study was conducted for 32 students consisting of 20 men and 12 women. Data were collected through observation by the observer uses observation sheets to the data the method of discussion, and through postes unutuk learning outcomes data. The results showed that the method of discussion individually significant influence on student learning outcomes. Where 28 people declared complete their study of 32 students. Seen in the classical, was the method of discussion is also a significant influence, namely the classical completeness gain of 87.53%, with an average score 75.31. This means that the discussion method can improve student learning outcomes either individually or classical.Keywords: methods of discussion, social studies learning outcomes
PENERAPAN METODE LATIHAN UNTUK MENINGKATKAN KEMAMPUAN GURU BAHASA INDONESIA MEMANFAATKAN LINGKUNGAN SEKOLAH SEBAGAI SUMBER BELAJAR DI SDN 003 ROKAN IV KOTO
Authors: Yanis M.
Published: April 2019

From the observations, this time the teachers are still very rarely utilize the schoolenvironment as a learning resource. The school environment is not only used as a place tofrolic students during recess. Otherwise recess, teachers often choose quarantining studentsin the classroom, although the example of students have felt very saturated in the classroom.This research is a school action. Subjects in this study were as many as 17 teachers. Based onthe analysis and discussion of the first cycle and the second cycle, it can be concluded that theability of Indonesian teachers in the use of the school environment as a learning resourcethrough increased training approach. This is evidenced, in the first cycle ability of teacherswho earn enough categories numbered 11 persons (64.7%). And that gets the category of lessnumbered 6 (35.3%). In the second cycle that gets both categories amounted to 14 (82.4%).While categorized quite totaling 3 (17.6%).
PENINGKATAN KEMAMPUAN MENULIS TEGAK BERSAMBUNG DENGAN METODE LATIHAN SISWA KELAS II SD NEGERI 016 KECAMATAN PEKANBARU KOTA KOTA PEKANBARU
Authors: Marwati Marwati
Published: April 2019

The background of this study is the low ability students in writing upright continued. This is evidenced by the acquisition of student learning outcomes about the erect continued writing only obtained a score of 65.83. It is caused by: (a) the lack of training provided to student teachers; (b) teachers was minimal provide supporting books; (c) the lack of interest of the students to receive materials continued upright posts; (d) the teacher has not found the right technique or method in presenting the material. Based on this, researchers applied the training methods with the aim of improving writing skills upright continued. This research is a class act who performed at SD Negeri 16 Kecamatan Pekanbaru. The results of this study indicate that the ability of students has increased, this is evidenced by: (a) in the first cycle of activity for teachers to get a score of 39 (65.00%), the second cycle teachers' scores obtained was 51 (85.00%). While the student activity data in the first cycle obtained a score of 39 (65.00%), the second cycle score obtained by the students was 51 (85.00%); and (b) in the first cycle the average ability of students to write concatenated upright is 72.5 with enough categories. In the second cycle the average ability of students to write upright continued to rise to 81.5 in both categories.
PROFIL KEMAMPUAN REPRESENTASI MATEMATIS SISWA SEKOLAH DASAR DI KECAMATAN SUMEDANG UTARA
Authors: Handayani Hani , Juanda Rifahana Yoga
Published: April 2019

Mathematical representation ability is the ability of students in issuing ideas and ideas in solving mathematical problems. Thepurpose of this study is to determine the profile of mathematical representation ability of elementary school students in NorthSumedang District. The research method used is survey method. The survey method aims to collect data from a number of unitsor individuals at the same time. The research subjects were elementary school students with a total of 145 students who werestudents from six elementary schools in North Sumedang District. The data collected in this study was obtained from a test ofmathematical representation ability in solving mathematical problems in elementary schools. The questions made are inaccordance with mathematical representation indicators. Based on the results of data analysis from 145 students, students'verbal representation abilities reached 30.3% with very low categories, the ability of students' symbolic representation reached25.2% with very low categories, and students' visual representation abilities reached 19.3% with very low. Overall students'mathematical representation ability reaches 24.9% in the very low category. From the results of data analysis it can beconcluded that the mathematical representation ability of elementary school students in North Sumedang District is still verylow.
ANALISIS KESALAHAN EJAAN DALAM KARANGAN NARASI PADA SISWA KELAS V SEKOLAH DASAR KECAMATAN SUMEDANG SELATAN
Authors: Apriliana Anggi Citra , Martini Avini
Published: April 2019

This study aims to uncover spelling errors (letter use errors, word writing, and punctuation use) of fifth grade students ofelementary schools in South Sumedang District, Sumedang Regency. To achieve this goal qualitative descriptive research iscarried out with steps: collecting data on students' language errors and conducting language error analysis. The researchsubjects were fifth grade students of Margacinta Elementary School, Manangga Elementary School, and Pasanggrahan IElementary School, South Sumedang District. The results of the study showed that there were errors in language in students'narrative essays which included spelling errors (letter usage errors, word writing, and punctuation errors). Spelling errors thatoften appear are errors in capital letters, incorrect writing of prepositions, errors in the use of punctuation, errors in writingwords that are not in accordance with the rules of the correct language, and errors in writing of particles. The largest number ofmisspellings is Manangga Elementary School with a number of spelling errors of 52 (43.33%) and the smallest number ofmisspellings, namely Margacinta Elementary School with 27 (22.5%) errors.
MENINGKATKAN KETERAMPILAN MENULIS NARASI SISWA BERBANTUAN MEDIA GAMBAR SERI DI KELAS VI SD NEGERI 025 TELUK BINJAI KECAMATAN DUMAI TIMUR
Authors: Mariati Mariati
Published: April 2019

This research is based on the results of writing student narratives that are still low. The purpose of this study was to increase the results of writing narratives of class VI students of 025 State Primary School in Teluk Binjai. This research is classroom action research which consists of two cycles, namely, the cycle I and cycle II. The results showed that in the initial data the class average obtained a value of 63.5, students who completed as many as 13 students with a percentage of 59.09% category incomplete. in the first cycle, the class average obtained a value of 73.6 and students who completed as many as 16 students with a percentage of 72.7% complete category. in the second cycle, the class average obtained a value of 83.73 and students who completed as many as 18 students with a percentage of 81.81% complete category.
Features Morphohistological Data of Glomerulonephritis in the Kyrgyz Republic
Authors: Beishebaeva N. , Uzakbaev K.
Published: April 2019

Purpose. This report describes data collected Kyrgyz Republic by the Registry of Renal Biopsies (KRRB) which includes renal biopsies 108 (RB) performed over a period of 3 years (2015–2018). Methods. The KRRB has collected information on all (n=108) native renal biopsies performed in the Kyrgyz Republic from 2015 to 2018. Patients’ clinical data collected at the time of biopsy and histopathological diagnoses were used for epidemiological and clinicopathologic analysis. Results. The most common renal biopsy diagnoses in children IgAN (20,4%) and minimal change disease MCD (19,3%) were dominant.
Motivations Analysis of Women Entrepreneurs in Kazakhstan
Authors: Nizamova G. , Smagulova N.
Published: April 2019

In modern society, women's entrepreneurship has a special role. Woman entrepreneur is the bearer of new thinking, philosophy and lifestyle, values and morality. The female factor is aggressively breaking into the modern picture of the world, demanding a rethinking of the ultimate foundations of a new civilization. The study was based on the analysis of scientific literature on the formation and development of female entrepreneurship, the survey of women involved in entrepreneurial activities, the analysis of statistical reporting. The motives of women’s participation in business are analyzed. The structure of the motives of small business is proposed and the features of the motivations of women entrepreneurs are highlighted. The study identified the types of women entrepreneurs. The article shows the development trends of women’s entrepreneurship in Kazakhstan and identified the problems of its development.
Interactive Training Methods (Case) for the Acquired Resistance Practical Skills Student’s 2-4 Courses at the Department of Pediatrics, Obstetrics & Gynecology of Bishkek International School of Medicine
Authors: Turdieva A. , Turdiev A. ,   International School of Medicine (Bishkek)
Published: April 2019

The main goal of the Higher Education is giving good knowledge to students. High level of theoretical knowledge makes the young specialist competitive in society. After 1 year he starts to use his practice skills. The students of medical faculties haven’t time for mistakes. The first-year residency program General practitioner assumes that the young doctor is leaving for the periphery and is starting practical work. Therefore, one of the priorities of the medical university is preparing medical students with practical skills. How can we achieve this? Only by using a case–study, for better learning and receiving practical skills.
Computational Analysis of Glycerol Menthonide Using Spartan ’04
Authors: Kiessling Anthony , Ganong Carissa , Johnson Ashley
Published: April 2019

Glycerol menthonide has been reported in the literature and has been prepared by reaction of menthone with glycerol under acid catalysis. The menthonide was originally prepared as an additive to spearmint gum by a chemist at Wrigley’s Inc. No further chemical analysis of the menthonide has been reported in the literature. However, glycerol menthonide should be a mixture of up to 6 isomers. Spartan ‘04 was used to determine the heat of formation of each isomer in an attempt to model the reaction mixture. This information was then compared with GC/MS analysis of the product mixture. The isolation of one of the stereoisomers of glycerol menthonide is also reported.
A Lesson Learned from Outer Billiard Derivatives
Authors: Otten Samuel , Doğru Filiz
Published: April 2019

As students move onward and upward through collegiate mathematics they are often impressed by the power of advanced techniques (aren’t they?), techniques allowing problems that were previously difficult or near-impossible to be solved with relative ease. For example, once students have learned the residue theorem in complex analysis they are able to elegantly evaluate integrals that were unwieldy in calculus. Among practicing mathematicians there is also a tendency to look to new or powerful results when trying to unlock a problem within one’s own research. This article presents a new theorem concerning derivatives within the outer billiard dynamical system, and in so doing serves as a reminder that higher-powered mathematics are not always needed and do not necessarily produce more satisfying proofs. Sometimes it is beneficial to keep elementary approaches in mind.
The Applicability of the River Continuum Concept to the Upper Reaches of a Neotropical Lower Montane Stream
Authors: Skaff Nicholas
Published: April 2019

The applicability of the River Continuum Concept (RCC) to the upper reaches of Quebrada Máquina, a lower montane stream in Monteverde, Costa Rica, was examined. Macroinvertebrate samples were taken from ten points along the stream from first through fourth order segments. The families of the collected individuals were then categorized based on functional feeding group. The similarity between the families found at each collection point was calculated, along with correlations between the functional groups and various stream characteristics. In most cases, RCC predictions did not apply to Quebrada Máquina. The first (first order) and last (fourth order) sample points were 92% similar despite RCC predictions of substantial divergence in relative functional group abundance. This digression from the RCC predictions may be caused by the relatively few differences in stream characteristics between first and fourth order sections. Specifically, the observed similarities and correlations may have been determined by local scale heterogeneity of the stream characteristics.
Investigation of the Effect of Concentration on Molecular Aggregation of Cyanine Dyes in Aqueous Solution
Authors: Kunzler John , Samha Leen , Zhang Renwu , Samha Hussein
Published: April 2019

The aggregation of the cyanine dye, 3,3’-disulfobutyl-5,5’-dichloro thiacarbocyanine triethylamine, (NK-3796) in aqueous solution was investigated using absorption and emission spectroscopy. The equilibrium, n(monomer) ⇆ n(dimer) ⇆ (H-aggregate)n , was observed over a series of dye concentrations ranging from 10-4 mM to 0.1mM. At concentrations <10-3 mM, the dye exists in solution mostly in the monomeric form. However, dimers become more significant when the concentration of the dye exceeds 10-2 mM. Unlike the substituted dye in the 9th position, the NK-3796 dye tends to form H-aggregates at higher concentration (>10-1 mM). Monomers and dimers exhibit strong emission in the visible region. Also notable, is that the emission from the H-aggregates was very weak due to self quenching.
Using Web 2.0 Data to Estimate Alcohol-Related Travel
Authors: Conroy William , Smith Duncan
Published: April 2019

Using ArcGIS, the locations of pubs, clubs, and bars were geocoded onto the street network of Seattle. Upon calculating the density of these drinking establishments throughout the city, the six densest areas, representing nightlife districts, were converted to polygons. Using publicly available check-in data from Gowalla, user check in data within these six polygons was obtained. After cross referencing the Gowalla users’ legal names with the Washington State Voter Registration Database, straight line distances between their legal addresses and bars patronized were calculated. As a result, distance traveled profiles were calculated for each nightlife district.
Observing Program Calculator for Eclipsing Binary Star Systems
Authors: Neal Colby , Braunstein Michael
Published: April 2019

A Microsoft Excel application has been developed to utilize eclipsing binary elements to calculate binary ephemerides that are useful in a program of observing binary systems. Binary star systems consist of two stars orbiting a common center of mass. Consistent monitoring of eclipsing binary stars is important for establishing fundamental astronomical parameters, such as mass and composition of the stellar system. The application that was developed supports effective use of resources in such monitoring applications. The main quantities computed by the application at the time of the eclipse include: local time, Julian date, starting Epoch, altitude of the system, phase of the moon, Local Mean Sidereal Time, and Local Hour Angle. Other quantities computed by the application include current Universal Time (UT), UT/Local Time correction, Julian Date, and current moon phase/percent illuminated. The observing application has been demonstrated to be effective in practical application to obtain differential photometry data for SV Camelopardalis, a system of interest because of variability in its period caused by a third body. The application can be easily modified for use with other highly periodic astronomical systems, for instance transits of extrasolar planets.
Non-Albicans Candida in Oral Cancer
Authors: Nawaz Ali
Published: April 2019

Mouth is an important source of infections and oral infections increase the risk of mortality. Invasive Candida infections (ICI) are associated with high mortality and non-albicans Candida are responsible for most of such cases. Candida may even play a role in the development of cancer.
Att undervisa för utveckling av yrkeskunnande i vård och omsorg
Authors: Eliasson Eva Maria
Published: April 2019

The aim of this study was to examine didactic principles in health care teachers’ description of their teaching practices, and how these principles were intertwined with vocational knowledge. In addition, characteristics of a health-care didactical approach were explored. Theoretical framework was based on Vygotsky’s sociocultural perspective and Lave and Wenger’s situated learning. 17 health-care teachers, working with adolescents or adults, were interviewed. The findings showed that vocational knowledge and didactic principles were often intimately intertwined. Didactic principles were dialogicity, work-links, variation, relational environment and language development. The healthcare didactical approach highlighted the development of students, both as health-care givers and as persons, through interactions with teachers and peers, and the teachers acted as boundary-crossing role models. The health-care didactical approach also involved the students’ language development. Issues that need to be reflected on are if the emphasis on feminine-coded vocational knowledge is too strong in relation to the programme objectives, and if reading and writing as teaching forms are too marginalised.
Castable Pivots as Overdenture Attachments: A Case Report
Authors: Viegas Mrinali , Bhat Vidya , Shetty Sanath , Shetty Rajesh
Published: April 2019

Rehabilitation of edentulous arches by obtaining support from any healthy remaining teeth can be considered to enhance the retention and stability of the prosthesis. Overdentures may be tooth or implant supported. When compared with implants, tooth supported dentures provide periodontal sensory feedback, nonsurgical procedures and reduced costs. Overdenture attachments give superior retention, adequate denture thickness and space for teeth arrangement in comparison with metal copings. This case report shows a new easy method of fabricating tooth retained overdenture attachments for enhancing retention and patient satisfaction Key words: Overdenture, castable pivots, ball attachment, metal housing.
Participation of Wheat and Rye Genome in Drought Induced Senescence in Winter Triticale (X Triticosecale Wittm.)
Authors: Ostrowska Agnieszka , Tyrka Mirosław , Dziurka Michał , Hura Katarzyna , Hura Tomasz
Published: April 2019

The aim of the study was to identify the regions of triticale genome responsible for senescence under drought induced during the generative stage. We performed quantitative analysis of chlorophylls (a and b), carotenoids, soluble carbohydrates, and phenolic compounds. QTL (Quantitative Trait Loci) calculations were based on a previously developed and characterized genetic map involving 92 lines of doubled haploid derived from F1 hybrid ‘Hewo’ × ‘Magnat’ and two DH parental lines (‘Hewo’ and ‘Magnat’). We identified seven QTLs, including four on chromosome 2A, one on chromosome 1R, and two on chromosome 6R. Only three loci, QSPh.2A.1, QSC.2A.2 and QSC.2A.4 mapped single traits, i.e., the content of soluble phenolics and carbohydrates. Single QTL (QCSPh.1R) was responsible for changes in the levels of chlorophyll a and b, carotenoids and soluble phenolics. The remaining three loci, QCSPhC.2A.3, QCSPhC.6R.1 and QCSPhC.6R.2 controlled changes in the entire set of investigated traits. We also identified candidate genes for the investigated traits. The loci on chromosome 2A encoded proteins responsible for oligosaccharide transportation and mechanical properties of xylem and the genes regulating carbohydrate metabolism. The chromosomes 1R and 6R contained functional genes possibly associated with carbohydrate and phenolic metabolism.
Correcting Pervasive Errors in Genotypic Datasets to Develop Genetic Maps
Authors: Hwang Sadal , Lee Tong Geon
Published: April 2019

Genetic mapping studies provide improved estimates for novel genomic loci, allelic effects and gene action controlling important traits. Such mapping studies are regularly performed by using a combination of genotypic data (e.g., genotyping markers tagging genetic variation within populations) and phenotypic data of appropriately structured mapping populations. Randomly obtained DNA information and more recent high-throughput genome sequencing efforts have dramatically increased the ability to obtain genetic markers for any plant species. Despite the presence of constantly and rapidly increasing genotypic data, necessary steps to determine whether specific markers can be associated with genetic variation may often be initially neglected, meaning that ever-growing genotypic markers do not necessarily maximize the power of mapping studies and often generate false results. To address this issue, we present a framework for analyzing genotypic data while developing a genetic linkage map. Our goal is to raise awareness of a stepwise procedure in the development of genetic maps as well as to outline the current and potential contribution of this procedure to minimize bias caused by errors in genotypic datasets. Empirical results obtained from the R/qtl package for the statistical language/software R are prepared with details of how we handled genotypic data to develop the genetic map of a major plant species. This study provides a stepwise procedure to correct pervasive errors in genotypic data while developing genetic maps. For use in custom follow-up studies, we provide input files and written R codes.
Selection of Diagnostic Symptoms and Injection Subsystems of Marine Reciprocating Internal Combustion Engines
Authors: Monieta Jan
Published: April 2019

This paper presents the planning of an experiment aimed at determining the scope of scientific research. It has been demonstrated in the conducted reliability investigations that main and auxiliary combustion engines, chosen as the objects of marine vessels, are the most unreliable components of injection apparatus as a weak link of a fuel feed functional system. The author seeks to use the minimum number of diagnostic parameters to obtain the maximum amount of information about the state of the test object. Reliability indexes, theoretical research and preliminary diagnostic tests were used to select the diagnostic signal reception points. In the initial determination of the measured quantities, the following methods were used: decomposition of the combustion engine on a functional systems, significant assemblies and elements, analysis of working and residual processes. Preliminary tests of the injection subsystem were carried out outside the internal combustion engine, as well as tests on real objects in laboratory conditions and in the conditions of marine vessels. To obtain a lot of information about the research object, a lot of diagnostic parameters were used at the beginning. On this basis, the preliminary selection of signals and diagnostic parameters related to the technical state was carried out, conducting the analysis in the various domains. Methodical and experimental diagnostic models were elaborated.
Ginger: Panacea or Consumer’s Hype?
Authors: Santos Braga Susana
Published: April 2019

Ginger in its many forms, from juices of the fresh rhizome, to ginger powder and ginger essential oil, is growing in popularity for claimed universal health benefits. Nevertheless, and contrarily to the common notion of the public, ginger is not devoid of side effects, especially interactions with other drugs, and many of the claimed benefits remain to be substantiated. This work presents a comprehensive revision of the current state of the art on ginger pharmacokinetics and bioavailability, interaction with active pharmaceutical ingredients, raising awareness of the risks of uncontrolled ginger consumption. A second section of the work described the verified actions of various extracts of ginger, or of their main active ingredients, gingerols, based mainly on data obtained from controlled clinical trials. Finally, the last section is devoted to innovative technological solutions to improve the bioavailability of gingerols and ginger extracts that are expected to ultimately lead to the development of more consumer-compliant products.
Dye Adsorbent Materials Based on Porous Ceramics from Glass Fiber-Reinforced Plastic and Clay
Authors: Yasui Kentaro , Sasaki Koya , Ikeda Naoya , Kinoshita Hiroyuki
Published: April 2019

We investigated the use of waste glass fiber-reinforced plastic (GFRP) to remove dye from industrial wastewater. The dye adsorbent material, based on GFRP/clay ceramics, was produced by mixing crushed GFRP with clay and firing the resulting mixture. Several types of ceramics were produced by adjusting the mixing ratio of clay, crushed 40% GF/GFRP, and firing atmosphere. Adsorption tests with methylene blue (MB) dye were performed by mixing the ceramics into an MB solution while controlling the stirring speed and measuring the decrease in MB dye concentration over time. These results showed that GFRP/clay ceramics reductively fired at 1073 K had a higher MB dye adsorption ability than that of the clay ceramic. The MB dye absorptivity of the reductively fired ceramics increased as we increased the mixing ratio of GFRP. We attribute this result to the high plastic carbide content in the ceramic, which has excellent dye absorbability. Furthermore, these particles had a comparatively high specific surface area and porosity.
Size-Dependent Free Vibrations of FG Polymer Composite Curved Nanobeams Reinforced with Graphene Nanoplatelets Resting on Pasternak Foundations
Authors: Arefi Mohammad , Bidgoli Elyas Mohammad-Rezaei , Dimitri Rossana , Tornabene Francesco , Reddy J. N.
Published: April 2019

This paper presents a free vibration analysis of functionally graded (FG) polymer composite curved nanobeams reinforced with graphene nanoplatelets resting on a Pasternak foundation. The size-dependent governing equations of motion are derived by applying the Hamilton’s principle and the differential law consequent (but not equivalent) to Eringen’s strain-driven nonlocal integral elasticity model equipped with the special bi-exponential averaging kernel. The displacement field of the problem is here described in polar coordinates, according to the first order shear deformation theory. A large parametric investigation is performed, which includes different FG patterns, different boundary conditions, but also different geometrical parameters, number of layers, weight fractions, and Pasternak parameters.
Using Product Network Analysis to Optimize Product-to-Shelf Assignment Problems
Authors: Huang Haisong , Yao Liguo , Chang Jyu-Shang , Tsai Chieh-Yuan , Kuo R.J.
Published: April 2019

A good product-to-shelf assignment strategy not only helps customers easily find desired product items but also increases retailer profit. Recent research has attempted to solve product-to-shelf problems using product association analysis, a powerful data mining tool that can detect significant co-purchase rules underlying a large amount of purchase transaction data. While some studies have developed efficient approaches for this task, they largely overlook important factors related to optimizing product-to-shelf assignment, including product characteristics, physical proximity, and category constraints. This paper proposes a three-stage product-to-shelf assignment method to address this shortcoming. The first stage constructs a product relationship network that represents the purchase association among product items. The second stage derives the centrality value of each product item through network analysis. Based on the centrality of each product, an item is classified as an attraction item, an opportunity item, or a trivial item. The third stage considers purchase association, physical relationship, and category constraint when evaluating the location preference of each product. Based on the location preference values, a product assignment algorithm is then developed to optimize locations for opportunity items. A series of analyses and comparisons on the performance of different network types are conducted. It is found that the two network types provide variant managerial meanings for store managers. In addition, the implementation and experimental results show the proposed method is feasible and helpful.
Smart Obstacle Avoidance Using a Danger Index for a Dynamic Environment
Authors: Sun Jiubo , Liu Guoliang , Tian Guohui , Zhang Jianhua
Published: April 2019

The artificial potential field approach provides a simple and effective motion planner for robot navigation. However, the traditional artificial potential field approach in practice can have a local minimum problem, i.e., the attractive force from the target position is in the balance with the repulsive force from the obstacle, such that the robot cannot escape from this situation and reach the target. Moreover, the moving object detection and avoidance is still a challenging problem with the current artificial potential field method. In this paper, we present an improved version of the artificial potential field method, which uses a dynamic window approach to solve the local minimum problem and define a danger index in the speed field for moving object avoidance. The new danger index considers not only the relative distance between the robot and the obstacle, but also the relative velocity according to the motion of the moving objects. In this way, the robot can find an optimized path to avoid local minimum and moving obstacles, which is proved by our experimental results.
Automatic Lip-Reading System Based on Deep Convolutional Neural Network and Attention-Based Long Short-Term Memory
Authors: Lu Yuanyao , Li Hongbo
Published: April 2019

With the improvement of computer performance, virtual reality (VR) as a new way of visual operation and interaction method gives the automatic lip-reading technology based on visual features broad development prospects. In an immersive VR environment, the user’s state can be successfully captured through lip movements, thereby analyzing the user’s real-time thinking. Due to complex image processing, hard-to-train classifiers and long-term recognition processes, the traditional lip-reading recognition system is difficult to meet the requirements of practical applications. In this paper, the convolutional neural network (CNN) used to image feature extraction is combined with a recurrent neural network (RNN) based on attention mechanism for automatic lip-reading recognition. Our proposed method for automatic lip-reading recognition can be divided into three steps. Firstly, we extract keyframes from our own established independent database (English pronunciation of numbers from zero to nine by three males and three females). Then, we use the Visual Geometry Group (VGG) network to extract the lip image features. It is found that the image feature extraction results are fault-tolerant and effective. Finally, we compare two lip-reading models: (1) a fusion model with an attention mechanism and (2) a fusion model of two networks. The results show that the accuracy of the proposed model is 88.2% in the test dataset and 84.9% for the contrastive model. Therefore, our proposed method is superior to the traditional lip-reading recognition methods and the general neural networks.
A Fault Diagnosis Approach for Rolling Bearing Based on Convolutional Neural Network and Nuisance Attribute Projection under Various Speed Conditions
Authors: Ma Huijie , Li Shunming , An Zenghui
Published: April 2019

Intelligent fault diagnosis is a promising tool for processing mechanical big data. It can quickly and efficiently process the collected signals and provide accurate diagnosis results. However, rotating machinery often works under various speed conditions, which makes it difficult to extract fault features. Inspired by speech recognition, the nuisance attribute projection method in speech recognition is introduced into fault diagnosis to solve the problem of feature extraction in variable speed signals. Based on the idea of unsupervised feature learning, the loss function of nuisance attribute projection is added to the loss function of convolutional neural network (CNN) to learn fault features from original data. Health status is classified according to the learned characteristics and projection matrix P. A special designed bearing dataset is employed to verify the effectiveness of the proposed method. The results show that the proposed method has a higher accuracy and a simpler framework, which is superior to the existing methods in bearing fault diagnosis.
Ensuring the Reliability of Pneumatic Classification Process for Granular Material in a Rhomb-Shaped Apparatus
Authors: Lytvynenko Andrii , Yukhymenko Mykola , Pavlenko Ivan , Pitel Jan , Mizakova Jana , Lytvynenko Olha , Ostroha Ruslan , Bocko Jozef
Published: April 2019

This article is devoted to a detailed description of the developed physical model of the pneumatic classification process for detecting the rotating suspended layer and ensuring the frequency of loading and unloading of a pneumatic classifier. The related mathematical model is developed for estimating the non-stationary concentration of fine particles in a gas-dispersed flow with respect to time and height of the working space of the apparatus. The research is aimed at developing a pneumatic classification method for granular materials using a rhomb-shaped apparatus and ensuring the reliability of the operating process based on the influence of the flow on the granular material concentrations. The obtained experimental results allow evaluating the rational geometrical parameters of the working space in pneumatic granulators, as well as verifying the proposed mathematical model based on the implementation of the quasi-linear regression procedure. It is shown that the rhomb-shaped pneumatic classifier provides effective separation of granular material, reaching up to 95% of the target fraction. As a result, the proposed methodology can be implemented for optimizing geometrical profiles of pneumatic classifiers in terms of defining the required technological parameters of the pneumatic classification process.
A Scientometric Review and Metasynthesis of Building Information Modelling (BIM) Research in Africa
Authors: Saka Abdullahi B. , Chan Daniel W. M.
Published: April 2019

Building Information Modelling (BIM) has been gaining widespread adoption in the Architecture, Engineering, and Construction (AEC) industry across the globe. Consequently, several research studies have attempted to construct a holistic review of the increasing BIM publications to identify the development trend using manual review, scientometric review, bibliometric review, or latent semantic review. These extant studies have often adopted a global view of the development despite the adoption of BIM varying across firms, countries, and continents. This approach is often regarded as not representative of the BIM development in countries and continents at the infancy stage. As BIM is still at the germinating stage of development in Africa and previous reviews are unrepresentative of BIM development in the AEC industry of Africa. This paper aims to present a scientometric review and metasynthesis of BIM development in the African AEC industry to explore the intellectual evolution of BIM, the status quo of BIM across the regions, and any potential barriers hindering BIM proliferation. The review findings revealed a varying level of BIM growth, with North Africa, West Africa, and Southern Africa leading the research development, whilst East Africa and Central Africa are slightly lagging behind. Additionally, the major challenges facing BIM adoption was found as people/process-related barriers. This study has provided valuable insights into BIM development and application in the growing African AEC industry.
Establishing Flow Stress and Elongation Relationships as a Function of Microstructural Features of Ti6Al4V Alloy Processed using SLM
Authors: Akram Javed , Pal Deepankar , Stucker Brent
Published: April 2019

Selective laser melting (SLM) is an attractive technology for fabricating complex metal parts with reduced number of processing steps compared to traditional manufacturing technologies. The main challenge in its adoption is the variability in mechanical property produced through this process. Control and understanding of microstructural features affected by the SLM process is the key for achieving desirable mechanical properties. Numerous studies have been published related to microstructure and mechanical properties of SLM printed parts; however, few of those reported end-to-end process–structure–property relationship. Therefore, the current study aims to comprehensively present the widespread microstructure information available on SLM processed Ti6Al4V alloy. Furthermore, its effects on the magnitude and anisotropy of the resultant mechanical properties, such as the yield strength and elongation, has been established. A Hall–Petch relationship is established between α lath size and yield strength magnitude for the as-built, heat-treated, transverse, and longitudinal built samples. The anisotropy in flow stress is established using the α lath size and prior β grain orientation. Percentage elongation was identified to be affected by both α lath size and powder layer thickness, due to its correlation with the prior β columnar grain size. A linear relationship was established between percentage elongation and combined size of α lath and powder layer thickness using the rule of mixtures.
A Chaotic Electromagnetic Field Optimization Algorithm Based on Fuzzy Entropy for Multilevel Thresholding Color Image Segmentation
Authors: Song Suhang , Jia Heming , Ma Jun
Published: April 2019

Multilevel thresholding segmentation of color images is an important technology in various applications which has received more attention in recent years. The process of determining the optimal threshold values in the case of traditional methods is time-consuming. In order to mitigate the above problem, meta-heuristic algorithms have been employed in this field for searching the optima during the past few years. In this paper, an effective technique of Electromagnetic Field Optimization (EFO) algorithm based on a fuzzy entropy criterion is proposed, and in addition, a novel chaotic strategy is embedded into EFO to develop a new algorithm named CEFO. To evaluate the robustness of the proposed algorithm, other competitive algorithms such as Artificial Bee Colony (ABC), Bat Algorithm (BA), Wind Driven Optimization (WDO), and Bird Swarm Algorithm (BSA) are compared using fuzzy entropy as the fitness function. Furthermore, the proposed segmentation method is also compared with the most widely used approaches of Otsu’s variance and Kapur’s entropy to verify its segmentation accuracy and efficiency. Experiments are conducted on ten Berkeley benchmark images and the simulation results are presented in terms of peak signal to noise ratio (PSNR), mean structural similarity (MSSIM), feature similarity (FSIM), and computational time (CPU Time) at different threshold levels of 4, 6, 8, and 10 for each test image. A series of experiments can significantly demonstrate the superior performance of the proposed technique, which can deal with multilevel thresholding color image segmentation excellently.
Research on Fault Extraction Method of Variational Mode Decomposition Based on Immunized Fruit Fly Optimization Algorithm
Authors: Zhou Jie , Guo Xiaoming , Wang Zhijian , Du Wenhua , Wang Junyuan , Han Xiaofeng , Wang Jingtai , He Gaofeng , He Huihui , Xue Huiling , Kou Yanfei
Published: April 2019

In recent years, a new method of fault diagnosis, named variational mode decomposition (VMD), has been widely used in industrial production, but the decomposition accuracy of VMD is determined by two parameters, which are respectively the decomposition layer number k and the penalty factor α, if the parameters are not properly selected, there will be over-decomposition or under-decomposition. In order to find an approach to determine the parameters adaptively, a method to optimize VMD by using the immune fruit fly optimization algorithm (IFOA) is proposed in this paper. In this method, permutation entropy is used as the fitness function, firstly, the immune fruit fly optimization algorithm is used to search the combined parameters of k and α in VMD, searching for the best combination parameters of k and α by iteration, and then uses the combined parameters to perform VMD, finally, the center frequency is determined through frequency spectrum analysis. The method mentioned is applied to the fault extraction of a simulated signal and a measured signal of a wind turbine gearbox, and the fault frequency is successfully extracted. Using ensemble empirical mode decomposition (EEMD) and singular spectrum decomposition (SSD) to compare with the proposed method, which validated feasibility of the proposed method.
Enhancing Student Motivation in Secondary School Mathematics Courses: A Methodological Approach
Authors: Vergara Diego , Fernández María Luz , Lorenzo Miguel
Published: April 2019

In this paper, a teaching experience carried out within the framework of the subject of mathematics is presented. This subject is taught at several levels in secondary schools. In addition to some specific content related with mathematics (percentages, fractions, graphics, and bank interest), the methodology is designed in order to enhance the development of transversal skills (e.g., oral exposition, poster design and presentation, the analysis of social inequalities, etc.). Survey results based on the responses from over 110 students across four consecutive years, as well as the teacher’s self-assessment, indicate that the proposed methodology enhanced the students’ motivation and was helpful for developing mathematical content in a more pleasant way than in a conventional class based on a master class and problem-solving class.
A Current Reconstruction Strategy Following the Operation Area in a 1-Shunt Inverter System
Authors: Park Chang-Hwan , Kim Dong-Youn , Yeom Han-Beom , Son Yung-Deug , Kim Jang-Mok
Published: April 2019

To reduce the cost of the inverter system in home appliances, a method using a shunt resistor at the DC-link can be substituted for a method using two current sensors at the inverter output. However, the minimum time of the active vector is required to sample the accurate current using a 1-shunt resistor. Therefore, many studies have been conducted investigating current reconstruction methods in the unmeasurable region of the current. The conventional methods using voltage injection have some problems such as high THD (Total Harmonic Distortion) and acoustic noise, because the PWM pattern is shifted. In addition, the current reconstruction is inaccurate in a low modulation region. In this paper, the cause of the noise in conventional methods is analyzed and a simple current reconstruction method based on an average current estimation and a current reference is utilized for reducing acoustic noise. In an immeasurable area, especially a low modulation region, an intermittent PWM shift method is proposed to enhance the accuracy of the reconstructed current. Therefore, a control strategy that combines all of the mentioned methods is implemented for the entire operating range. The effectiveness of the proposed methods is verified through the experimental results and the results of sound measurement in an anechoic chamber are included to compare with the acoustic noise.