bluuebunny/crossref_metadata_2025 huggingface dataset:
How to Avoid Pigeonholing the Environmental Manager ?
Authors: Boucher Julien , Jenny Clotilde , Plummer Zara , Schneider Gerhard
Published: June 2018

The research investigates the role the environmental manager plays to ensure a successful (or not) implementation of environmental performance within an organization. It is based on interviews of 5-7 actors per company within a sample of 7 companies (42 interviews). We build upon bias of perception of the various actors interviewed within each company to define 4 paradoxes related to the roles and mission of the environmental manager that hinder proper efficiency of environmental management at company level. Paradox 1 is that no one takes ownership of environmental performance within the organization. Paradox 2 is that the environmental manager is in an awkward situation vis-à-vis his boss. Paradox 3 is that the role of the environmental manager is ambiguous vis-à-vis employees. Paradox 4 is that corporate and product approaches are decoupled. We suggest that these paradoxes interact and form a vicious cycle that may in part be responsible for the environmental decoupling phenomenon – the fact that companies often adopt a sustainability policy symbolically without implementing it substantively. Our research suggests that, by leveraging the leadership of the environmental manager through organizational and motivational measures, the vicious cycle can be transformed into a virtuous cycle and the human motivation can become a driver for green change within corporations. We proposed the SEA (Shaping Environmental Action) model based of 4 pillars: information, motivation, organization and strategy.
Breast tumor detection and classification in Mammograms: Gabor wavelet vs. statistical features
Authors: Singh Mandeep , Singh Dharmesh , Sharma Vipul
Published: June 2018

Breast cancer is the second cause of fatality among all cancers for women. Automatic classification of breast cancer lesions in mammograms is a challenging task due to the irregularity and complexity of the location, size, shape, and texture of these lesions. The intensity dissimilarity has been found between breast cancer tissues and normal tissues, when a multi-spectral anatomical mammographic screening scans have been done. In this work, two approaches have been evaluated to classify the breast tumor lesions. The first one is through Gabor wavelet features and the second one is Statistical features. Subsequently, support vector machine, Multilayer Perceptron and KNN classifiers have been used with computer based method for breast tumor classification.
Online State of Charge and State of Health Estimation for Lithium-Ion Battery Based on a Data-Model Fusion Method
Authors: Wei Zhongbao , Leng Feng , He Zhongjie , Zhang Wenyu , Li Kaiyuan
Published: June 2018

The accurate monitoring of state of charge (SOC) and state of health (SOH) is critical for the reliable management of lithium-ion battery (LIB) systems. In this paper, the online model identification is scrutinized to achieve high modeling accuracy and robustness, and a model-based joint estimator is further proposed to estimate the SOC and SOH of LIB concurrently. Specifically, an adaptive forgetting recursive least squares (AF-RLS) method is exploited to optimize the estimation alertness and numerical stability, so as to achieve accurate online adaption of model parameters. Leveraging the online adapted battery model, a joint estimator is proposed by combining an open-circuit voltage (OCV) observer with a low-order state observer to co-estimate the SOC and capacity of LIB. Simulation and experimental studies are performed to evaluate the performance of the proposed data-model fusion method. Results suggest that the proposed method can effectively track the variation of model parameters by using the onboard measured current and voltage data. The SOC and capacity can be further estimated in real time with fast convergence, high accuracy and high stability.
Unsymmetrical Spiroalkanedithiols Having Mixed Fluorinated and Alkyl Tailgroups of Varying Length: Film Structure and Interfacial Properties
Authors: Chinwangso Pawilai , St. Hill Lydia R. , Marquez Maria D. , Lee T. Randall
Published: June 2018

A custom-designed series of unsymmetrical spiroalkanedithiols having tailgroups comprised of a terminally fluorinated chain and a hydrocarbon chain of varying lengths were synthesized and used to prepare self-assembled monolayers (SAMs) on gold substrates. The specific structure of the adsorbates was of the form [CH3(CH2)n][CF3(CF2)7(CH2)8]C[CH2SH]2, where n = 7, 9, and 12 (designated as F8H10-C10, F8H10-C12, and F8H10-C18, respectively). The influence of the length of the hydrocarbon chain in the bidentate dithiol on the structure and interfacial properties of the monolayer was explored. A structurally analogous partially fluorinated monodentate alkanethiol and the corresponding normal alkanethiols were used to generate appropriate SAMs as reference systems. Ellipsometric thickness measurements showed an unexpectedly low film thickness for the SAMs derived from the bidentate adsorbates, possibly due to disruptions in interchain packing caused by the fluorocarbon chains (i.e., phase-incompatible fluorocarbon-hydrocarbon interactions), ultimately giving rise to loosely packed and disordered films. Analysis by X-ray photoelectron spectroscopy (XPS) were also consistent with a model in which the films were loosely packed; additionally, the XPS spectra confirmed the attachment of the sulfur headgroups of the bidentate adsorbates onto the gold substrates. Studies of the SAMs by polarization modulation-infrared reflection-adsorption spectroscopy (PM-IRRAS) suggested that as the length of the hydrocarbon chain in the adsorbates was extended, a more ordered surface was achieved by reducing the tilt of the fluorocarbon segment. The wettability data indicated that the adsorbates with longer alkyl chains were less wettable than those with shorter alkyl chains, likely due to an increase in interchain van der Waals forces in the former.
Spatial Variation in Canopy Structure across Forest Landscapes
Authors: Hardiman Brady S. , LaRue Elizabeth A. , Atkins Jeff W. , Fahey Robert T. , Wagner Franklin W. , Gough Chris M.
Published: June 2018

Forest canopy structure (CS) controls many ecosystem functions and is highly variable across landscapes, but the magnitude and scale of this variation is not well understood. We used a portable canopy lidar system to characterize variation in five categories of CS along N = 3 transects (140–800 m long) at each of six forested landscapes within the eastern USA. The cumulative coefficient of variation was calculated for subsegments of each transect to determine the point of stability for individual CS metrics. We then quantified the scale at which CS is autocorrelated using Moran’s I in an Incremental Autocorrelation analysis. All CS metrics reached stable values within 300 m but varied substantially within and among forested landscapes. A stable point of 300 m for CS metrics corresponds with the spatial extent that many ecosystem functions are measured and modeled. Additionally, CS metrics were spatially autocorrelated at 40 to 88 m, suggesting that patch scale disturbance or environmental factors drive these patterns. Our study shows CS is heterogeneous across temperate forest landscapes at the scale of 10’s of meters, requiring a resolution of this size for upscaling CS with remote sensing to large spatial scales.
Generalizations of Opial’s Inequalities for Riemann-Stieltjes Integral with Applications
Authors: Dragomir Silvestru Sever
Published: June 2018

In this paper we establish some generalizations of Opial’s inequal-ities for Riemann-Stieltjes integral and for two functions. Applications related to trapezoid and Grüss’ type inequalities are also given.
Full- & Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator
Authors: Hackl Christoph Michael , Jane-Soneira Pol , Pfeifer Martin , Schechner Korbinian , Hohmann Sören
Published: June 2018

Full-order state-space models represent the starting point for the development of advanced control methods for wind turbine systems (WTSs). Regarding existing control-oriented WTS models, two research gaps must be noted: (i) There exists no full-order WTS model in form of one overall ordinary differential equation that considers all dynamical effects which significantly influence the electrical power output; (ii) all existing reduced-order WTS models are subject to rather arbitrary simplifications and are not validated against a full-order model. Therefore, in this paper, two full-order nonlinear state-space models (of 11th and 9th-order in the (a, b, c)- and (d, q)-reference frame, resp.) for variable-speed variable-pitch permanent magnet synchronous generator WTSs are derived. The full-order models cover all relevant dynamical effects with significant impact on the system’s power output, including the switching behavior of the power electronic devices. Based on the full-order models, by a step-by-step model reduction procedure, two reduced-order WTS models are deduced: A non-switching (averaging) 7th-order WTS model and a non-switching 3rd-order WTS model. Comparative simulation results reveal that all models capture the dominant system dynamics properly. The full-order models allow for a detailed analysis covering the high frequency oscillations in the instantaneous power output due to the switching in the power converters. The reduced-order models provide a time-averaged instantaneous power output (which still correctly reflects the energy produced by the WTS) and come with a drastically reduced complexity making those models appropriate for large-scale power grid controller design.
Biodegradation of Materials in Soils and Soil Constructions: Experiments, Modeling and Prevention
Authors: Smagin Andrey , Sadovnikova Nadezhda , Vasenev Vyacheslav , Smagina Marina
Published: June 2018

Decomposition of natural and synthetic polymeric materials (peat, humates, biochar, strongly swelling hydrogels and other soil conditioners) in a biologically- and chemically- active soil environment inevitably leads to their degradation and ability to improve the structure, water-retention, absorptive capacity and actual fertility of artificial soil constructions in urbanized ecosystems and agro landscapes (constructozems). Quantitative assessment of the biodegradation process using field and laboratory incubation experiments, as well as mathematical modeling, showed the possibility of significant (up to 30-50% per year) losses of organic matter of constructozems and a corresponding deterioration in their quality. Incubation experiments with the analysis of carbon dioxide emission for polymeric materials under given thermodynamic conditions allow to estimate the potential rates of their decomposition (half-life) and their dependence on the dose of inhibitors of microbial activity. Special nomographs provide an opportunity to determine the optimum depth of the arrangement of organic components in soil constructions to ensure their stable functioning during a fixed operating time in urban conditions. The results of the study are useful for geo-engineers and landscaping practitioners.
Rotation Dynamics of Star Block Copolymers under Shear Flow
Authors: Jaramillo-Cano Diego , Likos Christos N. , Camargo Manuel
Published: June 2018

Star block-copolymers (SBCs) are macromolecules formed by a number of diblock copolymers anchored to a common central core, being the internal monomers solvophilic and the end monomers solvophobic. Recent studies have demonstrated that SBCs constitute a self-assembling building blocks with specific softness, functionalization, shape, and flexibility. Depending on different physical and chemical parameters the SBCs can behave as flexible patchy particles. In this paper, we study the rotational dynamics of isolated SBCs using a hybrid mesoscale simulation technique. We compare three different approaches to analyse the dynamics: the laboratory frame, the non-inertial Eckart's frame, and a geometrical approximation relating the conformation of the SBC to the velocity profile of the solvent. We find that the geometrical approach is adequate when dealing with very soft systems while in the opposite extreme, the dynamics is best explained using the laboratory frame. On the other hand, the Eckart frame is found to be very general and to reproduced well both extreme cases. We also compare the rotational frequency and the kinetic energy with the definitions of the angular momentum and inertia tensor different from recent publications.
The Impact of Secondary Phyllosilicate Minerals on the Engineering Properties of Various Igneous Aggregates from Greece
Authors: Petrounias Petros , Giannakopoulou Panagiota  P. , Rogkala Aikaterini , Lampropoulou Paraskevi , Koutsopoulou Eleni , Papoulis Dimitrios , Tsikouras Basilios , Hatzipanagiotou Konstantin
Published: June 2018

This paper investigates the effect of alteration on the physicomechanical properties of igneous rocks from various areas from Greece used as aggregates. The studied lithologies include dunites, harzburgites, lherzolites, gabbros, diabases, dacites and andesites. Quantitative petrographic analysis shows that the tested samples display various percentages of secondary phyllosilicate minerals. Mineral quantification of studied rock samples was performed by using a Rietveld method on X-Ray diffraction patterns of the studied aggregates. The aggregates are also tested to assign moisture content [w (%)], total porosity [nt (%)], uniaxial compressive strength [UCS (MPa)] and Los Angeles abrasion test [LA (%)]. The influence of secondary phyllosilicate minerals on physicomechanical behavior of tested samples determined using regression analysis and their derived equations. Regression analysis shows positive relationship between the percentage of phyllosilicate minerals of rocks and moisture content as well as with the total porosity values. The relationships between phyllosilicate minerals in the ultramafic and mafic samples and their mechanical properties show that the total rates of phyllosilicate mineral products result negatively in their mechanical properties, while the low percentage of phyllosilicate minerals in volcanic rocks are not able to define set of their engineering parameters.
An Evaluation of Alternatives for Providing Care to Veterans
Authors: Fulton Lawrence V. , Brooks Matthew S.
Published: June 2018

In 2014, a whistleblower reported that many U.S. veterans died while waiting for care at the Phoenix VHA. Problems with veteran’s care through 2018 reveal ongoing and systematic problem.  In March 2018, the VA Inspector General identified critical deficiencies at the Washington, DC VA Medical Center including failures to track patient safety events accurately, ineffective sterile processing, and more than 10 thousand open or pending prosthetic / sensory aid consults. The VHA clearly has problems with access and quality in a budget-constrained environment.  In this policy analysis, four separate interventions that address the gap between the magnitude as well as the use of the VHA’s fixed budget versus access and cost expectations are explored. These policy interventions include maintaining the status quo, returning to a “VHA-only” option, transitioning to a CMS central payer system, and consolidating care under the DoD TRICARE insurance plans. An objective evaluation suggests that extending TRICARE to veterans while phasing out the VHA’s care responsibilities, while politically unpalatable, would likely provide the best of four possible solutions under various criterion weighting schemes.  A central payer solution under the CMS would also be viable consideration.  A Friedman’s test with Wilcoxon rank sum post-hoc tests suggests that TRICARE patient perceptions of quality are superior to VHA and non-VHA / non-DoD (p<.001), that access provided by the TRICARE program is ranked second in terms of venue acceptance only to the CMS solution set based on primary provider acceptance, and that the cost per beneficiary of a TRICARE solution ($6.5K / beneficiary)  is far better than a VHA-only solution ($14.0 K / beneficiary), the CMS central payer solution ($12.2K / beneficiary), or the status quo (between $12.2K and $14.0K / beneficiary).  The intent of this paper is to provoke thoughtful consideration of solutions for providing access to high-quality healthcare for veterans within our outside of the VHA. In this policy analysis, separate interventions that address the gaps between cost, quality, and access are explored. These policy interventions include maintaining the status quo, returning to a VHA-only option, transitioning to a CMS central payer system, and consolidating care under TRICARE.
High-Throughput Analysis of Selected Urinary Hydroxy Polycyclic Aromatic Hydrocarbons by an Innovative Automated Solid-Phase Microextraction
Authors: Dugheri Stefano , Bonari Alessandro , Gentili Matteo , Cappelli Giovanni , Pompilio Ilenia , Bossi Costanza , Arcangeli Giulio , Campagna Marcello , Mucci Nicola
Published: June 2018

High-throughput screening of samples is the strategy of choice to detect occupational exposure biomarkers, yet it requires user-friendly apparatus that gives relatively prompt results while ensuring high degrees of selectivity, precision, accuracy and automation, particularly in preparation processes. In the last 10 years, miniaturization has attracted much attention in analytical chemistry and has driven solvent and sample savings and easier automation, the latter thanks to the introduction on the market of three axis autosampler. In light of the above, this contribution describes a novel user-friendly solid-phase microextraction (SPME) off- and on-line platform coupled with gas chromatography triple quadrupole-mass spectrometry to determine urinary 1- and 2-hydroxy-napthalene, 9-hydroxy-phenantrene, 1-hydroxy-pyrene, 3- and 9-hydroxy-benzoantracene and 3-hydroxy-benzo[a]pyrene, metabolites of the related polycyclic aromatic hydrocarbons. In this new procedure chromatography’s sensitivity is combined with the user-friendliness of N-tert-butyldimethylsilyl-N-methyltrifluoroacetamide on-fiber SPME derivatization previous direct immersion sampling, to which is added the quantitative accuracy afforded using specific isotope-labelled internal standards. The detection limits for the seven OH-PAHs were ranged from 0.28 to 1.87 ng/L. Intra-(from 2.5 to 3.0%) and inter-session (from 2.4 to 3.9%) repeatability was also evaluated. This method serves to identify suitable risk-control strategies for occupational hygiene conservation programs
The Geography of Taste: Using Yelp to Study Urban Culture
Authors: Rahimi Sohrab , Mottahedi Sam , Liu Xi
Published: June 2018

This study aims to put forth a new method to study the socio-spatial boundaries by using georeferenced community-authored reviews for restaurants. In this study, we show that food choice, drink choice, and restaurant ambience can be good indicators of socio-economic status of the ambient population in different neighborhoods. To this end, we use Yelp user reviews to distinguish different neighborhoods in terms of their food purchases and identify resultant boundaries in 10 North American metropolitan areas. This data-set includes restaurant reviews as well as a limited number of user check-ins and rating in those cities. We use Natural Language Processing (NLP) techniques to select a set of potential features pertaining to food, drink and ambience from Yelp user comments for each geolocated restaurant. We then select those features which determine one’s choice of restaurant and the rating that he/she provides for that restaurant. After identifying these features, we identify neighborhoods where similar taste is practiced. We show that neighborhoods identified through our method show statistically significant differences based on demographic factors such as income, racial composition, and education. We suggest that this method helps urban planners to understand the social dynamics of contemporary cities in absence of information on service-oriented cultural characteristics of urban communities.
LOS REPERTORIOS VISUALES EN LA EDUCACIÓN ARTÍSTICA. HISTORIA DEL ARTE, CULTURA VISUAL GLOBAL Y CURRICULUM EN LAS COLECCIONES VISUALES DE DOCENTES ARGENTINOS
Authors: Carola Corbetta , Dussel Inés
Published: June 2018

¿Qué imágenes usan los docentes de educación artística para enseñar? En  una encuesta a profesores de escuelas secundarias de Buenos Aires (Argentina), se vio que su elección combina criterios de las tradiciones didácticas de la materia, los nuevos “esperantos visuales globales” y las demandas pedagógicas del contexto actual. Las imágenes más elegidas fueron, en orden de importancia, pinturas de las vanguardias del siglo XX o del Renacimiento, que muestran la continuidad con la tradición disciplinaria; también aparecen imágenes del pop-art y “ready-made” como base para la intervención digital; mandalas para colorear, no solamente por su valor estético sino por su valor disciplinario, “pacificador”, en las aulas; y arte efímero y participativo realizado con intervenciones. Estos repertorios visuales constituyen un curriculum no escrito y no problematizado de la educación artística. El trabajo se basa en los estudios visuales (Mirzoeff, Groys y Pollock) y en la sociología histórica del curriculum (Bernstein, Popkewitz) que considera al conocimiento escolar como un andamiaje de discursos y temporalidades múltiples.
Analisis Prediksi Kebangkrutan Perusahaan Menggunakan Artificial Neural Network Pada Sektor Pertambangan Batubara
Authors: Nurdini Rizki Amalia , Priyadi Yudi , . Norita
Published: June 2018

Indonesia’s coal mining industry has been decreased since the last five years and causing the financial performance of companies in the industry to deteriorate. The aim of this paper is to analyze the bankruptcy prediction on coal mining sector companies listed in Indonesia Stock Exchange (IDX) in 2012 – 2016 using data mining prediction method that is artificial neural network model with three financial ratios as an input parameter. The financial ratios used are shareholder’s equity ratio, current ratio and return on assets. The results indicate that these ratios are very suitable to be used as an input parameter because it shows a quite significant difference in calculation results between bankrupted and non-bankrupted companies.The ANN training model used in the prediction process in this study resulted in the best training performance with the model architecture of 15 neurons on input layer and one hidden layer with 30 neurons in it. The training model produces training performance with the lowest MSE of 0,000000313 and the highest R of 99,9%. Bankruptcy prediction result using ANN showed that 7 (seven) coal mining sector companies are predicted to be bankrupt
Sistem Pengendali Inventori Supply Chain Dengan Pendekatan Probabilitas Pada Industri Pakaian
Authors: . Mustafid , Sabila Alzena Dona , . Suryono
Published: June 2018

Inventory control systems have an important role in supply chain management to control process of production, inventory and distribution of products in accordance with rapidly changing consumer demand. The research aims to develop inventory control system on supply chain that can manage the number of production and supply of products based on variables of consumer demand and lead time. Supply chain inventory control systems are designed using model of supply chain inventory control within the information system framework. Model of inventory control using variable of demand lead time is designed by  probability approach. Input to the system are data of demand and lead time sent by retail. The results of research provide theory of supply chain inventory control system with probability approach, especially on developing the theory of probability distribution for combined variables from  two random variables of normal distributed.  Inventory control system used to determine safety stock and reorder point as the basis for determining  the replenishment stock. Furthermore by the system, supply chain management can manage the estimation of production number, and manage inventory and stock number of products in warehouse, supplier and retail in accordance with the consumer demand.
Implementasi Metode Association Rule untuk Menganalisis Data Twitter tentang Badan Penyelenggara Jaminan Sosial dengan Algoritma Frequent Pattern-Growth
Authors: Tamaela Jemaictry , Sediyono Eko , Setiawan Adi
Published: June 2018

BPJS services cannot be separated from criticism and complaints of the people in Indonesia. Twitter is one of the social media choose to share experiences related to things about BPJS. The information that is shared can be processed to gain new knowledge (knowledge discovery), which is related to public opinion about BPJS. Tweets collected from the national BJPS twitter are divided into words, then, specified words can be used as items to form the itemset. The association rule technique with the FP-Growth algorithm that is implemented in the application can process text data from Twitter to form the item set. Each item set contains a collection of tweets that are responses and the opinion of the community about an event or phenomenon related to BPJS services. The tree structure of FP-Growth simplifies the process of the validation because it can track and display the frequency of occurrence of each word and itemset, before and after branch pruning which is not included in the support value. The OSM API integration with the application in this study provides visual information about where the tweet comes from, so it can be used to generate itemset from a collection of tweets from a particular region.
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Website dengan Metode Simple Additive Weighting
Authors: Pradana Razqa Lathif , Purwanti Dwi , Arfriandi Arif
Published: June 2018

Generally, the selection of outstanding students in every school still uses the report value as the reference and it is done manually. It is required a system that may select the outstanding students accordance with the criteria and done automatically. In this study, it was developed an automatic system for selecting outstanding students by using Simple Additive Weighting (SAW) concept. The criteria set by the school in the selection of outstanding students are the average of the first and the second semester score, the achievements on district, city, and national level, liveliness in the organization and extracurricular, and credit point of attitude. Method of investigation used in this study is R & D, including introduction study, the development of system consisting of the application of SAW method and designing waterfall method, and testing of system which done by testing the comparison of the result and respond of users. The result of black box testing showed that all functionality in the system run well and appropriate; while for the white box showed that all paths run in accordance with SAW method. For the result of the comparison testing showed that the validation level was 100%. The result of the users respond revealed that the average of teacher responds was 90% and the students respond was 80, 34%. Therefore it can be concluded that decision support system by using SAW method can determine the outstading students.
Segmentasi Thresholding untuk Pemilihan Kualitas Telur Asin
Authors: Nurhayati Oky Dwi , Afifah Diana Nur , . Nuryanto , Rustanti Ninik
Published: June 2018

Visually, choosing the quality of salted eggs by looking at egg shells is something that is very difficult to do. In addition, the lighting and the weakness of the senses of vision also becomes difficult to see the quality of salted eggs visually. So far, to determine a good salted egg, only known from the weight of eggs. Not all eggs that have mild density have poor quality. So far, suppliers often get eggs that have bad quality (broken) so that when processed will produce defective salted eggs. The goal achieved as an effort to improve the quality of this production is software design to know the quality of salted eggs. Quality selection technology involves image processing techniques such as gray imagery, histogram equalization, P-Tile segmentation, and first-order statistical feature extraction that serves to recognize the type of egg image quality. The results obtained with the application of image processing techniques have a fairly good accuracy to determine the quality of salted eggs into two good and bad conditions.
Penerapan Model Promosi Berbasis Web Captive Portal Hotspot dengan Manajemen Terpusat
Authors: Yutanto Hariadi
Published: June 2018

The current technological developments so rapidly with speed and supported the ease of internet services. The Internet has also become one of the main needs of everyday human life activities. Internet advertising media innovation is one of the key media promotion in following the development of technology. Web-based portal advertising hotspot media for internet connection services is the most widely used today, as almost all agencies, offices, hotels, restaurants, schools / internet service providers (ISPs) use this technology. Hotspot network management techniques on mikrotik router captive portal can be used as a web-based promotion media and can be used as a centralized and dynamic media settings. Advertising media can be determined by location by combining 2 methods ie eoip and bridge for lan network while eoip, vpn and bridge on wan network. The results of this research has been working optimally and implemented in the network lan STIE Perbanas Surabaya while for wan network has been tested using the internet network in several locations civitas house.
Identifikasi Huruf Kapital Tulisan Tangan Menggunakan Linear Discriminant Analysis dan Euclidean Distance
Authors: Cahyani Septa , Wiryasaputra Rita , Gustriansyah Rendra
Published: June 2018

The human ability to recognize a variety of objects, however complex the object, is the special ability that humans possess. Any normal human will have no difficulty in recognizing handwriting objects between an author and another author. With the rapid development of digital technology, the human ability to recognize handwriting objects has been applied in a program known as Computer Vision. This study aims to create identification system different types of handwriting capital letters that have different sizes, thickness, shape, and tilt (distinctive features in handwriting) using Linear Discriminant Analysis (LDA) and Euclidean Distance methods. LDA is used to obtain characteristic characteristics of the image and provide the distance between the classes becomes larger, while the distance between training data in one class becomes smaller, so that the introduction time of digital image of handwritten capital letter using Euclidean Distance becomes faster computation time (by searching closest distance between training data and data testing). The results of testing the sample data showed that the image resolution of 50x50 pixels is the exact image resolution used for data as much as 1560 handwritten capital letter data compared to image resolution 25x25 pixels and 40x40 pixels. While the test data and training data testing using the method of 10-fold cross validation where 1404 for training data and 156 for data testing showed identification of digital image handwriting capital letter has an average effectiveness of the accuracy rate of 75.39% with the average time computing of 0.4199 seconds.
Pengukuran Keberhasilan E-Learning dengan Mengadopsi Model Delone & Mclean
Authors: . Deny , Andry Johanes Fernandes
Published: June 2018

Investment resources, time and cost in the implementation of information systems are not small, making measuring the success of information systems becomes very important to do. Meanwhile, the university as an educational institution today has been rampant to implement e-learning as an information system that provides added value for students. A University in North Jakarta has implemented e-learning integrated with information portal of students and lecturers since 2009. But until now has not been measured the success of the information system. So this research is done with one of the goals to measure the success of e-learning adopted by the University. In addition, this research would like to test the success model of DeLone and McLean's updated information system (2003) in the case of e-learning. The analysis was performed using SEM with the help of Lisrel 8.7 which tested 7 hypotheses. From this research found that DeLone and McLean model can not be used to explain the cause of success of e-learning system that its use is required, but need further research to get better level of generalization.
Peningkatan Akurasi Prediksi Waktu Perbaikan Bug dengan Pendekatan Partisi Data
Authors: Ridwan Mochammad Arief , Rochimah Siti
Published: June 2018

Software developers need to have a plan in setting up software development costs. Software repairs in the system maintenance phase can be caused by bugs. Bugs are malfunctions that occur in software that does not meet the needs of the software. The software bug can have a fast or long time in the repair depending on the difficulty level. Developers can be assisted by predictive model recommendations and provide time-out considerations for bug fixes. Some research has been done on the predicted time of bug fixes using various existing classification algorithms with free datasets that can be accessed or downloaded from the software site. The classification of existing research uses several datasets of varying time ranges, the results obtained from a very variable time span are assessed to be further enhanced by partitioning over time ranges prior to classification. With partitions based on the repair timeframe, improved accuracy has been made with some classification methods. The results obtained after performing trials on multiple datasets are an increase for the majority of the datasets used. There is also a decrease in accuracy in some tests performed with a particular dataset.
Analisis dan Pengukuran Kualitas Informasi Pada Website Menggunakan Pendekatan Six Sigma
Authors: Faisal Bagus , Candiwan Candiwan , Priyadi Yudi
Published: June 2018

Information held by a company is one of the important factors for its success. Nowadays with rapid development of usage of internet and social media, bad information can also have a significantly negative impact on every element / level that exists in the company or in the community. Sometimes it can lead to public unrest. Bad or good information has correlation with the quality of information. The aim of this research  is to assest and analyze  the quality of information using Six Sigma approach and we choose Kaskus website as a case study. Kaskus is the largest community online in Indonesia. It provided various kinds of information to its user. By using its approach, this research consists of 5 stages, they are “define”, “measure”, “analysis”, “improve”, and “control”. Each phase/stage using different tools to assess the current Information Quality, such as questionnaires for define phase, “Expert Choice”(Analytic Hierarchy Process) for measure phase, and quality function deployment (QFD) for analysis stage. Questionnaires used for defining customer specifications and identify information quality problem, meanwhile software “Expert Choice” used to measure the importance each quality information dimensions and then to validate/analyzise the problem of the data. And lastly, QFD used to determine the mutual relationships of information quality dimensions and critical to Information Quality factors. Output of “Analyze” stage shows that Accuracy, Relevancy, and Objectivity dimension on Kaskus website need to be improved immediately because it reaches unacceptable point.
Sistem Auto Recommendation Objek Wisata Menggunakan Metode SAW
Authors: Murti Alif Catur , Chamid Ahmad Abdul
Published: June 2018

The tourism sector is a complex multidimensional sector, which has an influence over the interrelation of other sectors in tourism activities and now the tourism sector is concerned by the government. Every tourist who will visit the tourist sites must have some consideration. The fact that today is happening is a lot of tourists who are disappointed because the destination is not in accordance with what they want. Seeing that the media campaign that is currently done is still not efficient, so Auto Recommendation System is needed which is capable to do visualized in digital mapping, and the system built can show the automatic recommendation of tourist destinations in accordance with the wishes of tourists. Auto Recommendation System is a system that implements Simple Additive Weighting (SAW) method. The results of this research factors other than the value of weight given by tourists, is the value factor owned by each alternative for each criteria, because the higher the value owned by the higher the higher the value of the final ranking obtained by the alternative. The end result of the SAW method is in the form of alternative ranking of existing tourism objects. Based on the results of these rankings the system also produces output in the form of location maps along with detailed information of the tourism object. Religious tourism Sunan Kudus and Sunan Muria became the recommended tourist attraction with first and second priority.
Klasifikasi Opini Masyarakat Terhadap Jasa Ekspedisi JNE dengan Naïve Bayes
Authors: Jumeilah Fithri Selva
Published: June 2018

The large number of online sales transactions has increased the number of service users. One of the companies engaged in the delivery service in Indonesia is Tiki Nugraha Ekakurir or more known JNE. Currently, JNE service users reach 14.000.000 per month. JNE has used many media communications with its customers one of them with Twitter. The number of followers of JNECare is 108,000 and the number of tweets is 375,000. The number of comments for people who can be used to see what they think of JNE is an inseparable comment is a negative, positive or neutral category. To simplify the grouping of comments, the data will be classified using the Naïve Bayes method present in Rstudio. The amount data used on the internet is 1725 tweets. The data will be divided into allegations of 70% data training as much as 1208 data and 30% data testing or as many as 517 data. Before the data is classified the previous data must go through the process of preprocessing that is changing all the letters into lowercase and other letters other than letters and spaces (case folding), tokenizing words, and the removal of the word common (stopword remove). After the data is cleared the data will be labeled manually one by one and new data can be used for the training process to get the probability model for each category. Probailitas obtained by using Naïve bayes algorithm. Models obtained from the training will be used using data testing. The categories obtained from the test will be used to process the data used by using the confusion matrix and will calculate the accuracy, precision and recall. From the results of the classification of JNE comments obtained that Naïve Bayes was able to classify the data well. This is evidenced by the average percentage accuracy of 85%, 78% precision and 67% recall.
Penjadwalan Tenaga Kebidanan Menggunakan Algoritma Memetika
Authors: Dodu A. Y. Erwin , Nugraha Deny Wiria , Putra Subkhan Dinda
Published: June 2018

The problem of midwife scheduling is one of the most frequent problems in hospitals. Midwife should be available 24 hours a day for a full week to meet the needs of the patient. Therefore, good or bad midwife scheduling result will have an impact on the quality of care on the patient and the health of the midwife on duty. The midwife scheduling process requires a lot of time, effort and good cooperation between some parties to solve this problem that is often faced by the Regional Public Hospital Undata Palu Central Sulawesi Province. This research aimed to apply Memetics algorithm to make scheduling system of midwifery staff at Regional Public Hospital Undata Palu Central Sulawesi Province that can facilitate the process of midwifery scheduling as well as to produce optimal schedule. The scheduling system created will follow the rules and policies applicable in the hospital and will also pay attention to the midwife's preferences on how to schedule them according to their habits and needs. Memetics algorithm is an optimization algorithm that combines Evolution Algorithm  and Local Search method. Evolution Algorithm in Memetics Algorithm generally refers to Genetic Algorithm so that the characteristics of Memetics Algotihm are identical with  Genetic Algorithm characteristics with the addition of Local Search methods. Local Search in Memetic Algorithm aims to improve the quality of an individual so it is expected to accelerate the time to get a solution.
Integrated Geomorphological, Geospatial and AHP Technique for Groundwater Prospects Mapping in Basaltic Terrain
Authors: Mundalik Vaishnavi , Fernandes Clinton , Kadam Ajaykumar , Umrikar Bhavana
Published: June 2018

Groundwater is an important source of drinking water in rural parts of India. Because of the increasing demand for water, it is essential to identify new sources for the sustainable development of this resource. The potential mapping and exploration of groundwater resources have become a breakthrough in the field of hydrogeological research. In the present paper, a groundwater prospects map is delineated for the assessment of groundwater availability in Kar basin on basaltic terrain, using remote sensing and Geographic Information System (GIS) techniques. Various thematic layers such as geology, slope, soil, geomorphology, drainage density and rainfall are prepared using satellite data, topographic maps and field data. The ranks and weights were assigned to each thematic layer and various categories of those thematic layers using AHP technique respectively. Further, a weighted overlay analysis was performed by reclassifying them in the GIS environment to prepare the groundwater potential map of the study area. The results show that groundwater prospects map classified into three classes low, moderate and high having area 17.12%, 38.26%, 44.62%, respectively. The overlay map with the groundwater potential zones in the study area has been found to be helpful for better planning and managing the resources.
ESTRATÉGIAS UTILIZADAS PELOS PROFISSIONAIS DA ENFERMAGEM NA ABORDAGEM A CRIANÇA HOSPITALIZADA
Authors: Falke Ana Cláudia Seus , Milbrath Viviane Marten , Freitag Vera Lucia
Published: June 2018

Introdução: A hospitalização infantil pode desenvolver na criança e família, sentimentos confusos e dicotômicos como, por exemplo, morte e cura, tristeza e alegria, medo e confiança, tornando assim o hospital um ambiente de experiências dolorosas e de grande importância para toda a vida, por isso a importância dos profissionais de enfermagem desenvolver estratégias que minimizem estes sentimentos. Objetivo: Conhecer as estratégias utilizadas pelos profissionais da enfermagem para abordar a criança hospitalizada. Método: Estudo descritivo e exploratório, com abordagem qualitativa, realizada no período entre junho a dezembro de 2015, na pediatria de um Hospital Escola do sul do Rio Grande do Sul/Brasil, com oito profissionais da equipe de enfermagem, sendo três enfermeiros e cinco técnicos de enfermagem.  O estudo teve aprovação do Comitê de Ética em Pesquisa da Faculdade de Medicina da Universidade Federal de Pelotas, aprovado sob o número: 1.195.440, em 24/08/2015. Resultados: Pode-se observar que a equipe de enfermagem utiliza o ato de brincar, bem como o diálogo a fim de abordar a criança no ambiente hospitalar, a fim de criar vínculo e minimizar o trauma que pode causar uma internação hospitalar. Conclusões: Torna-se fundamental que a equipe de enfermagem, lance mão ao uso de estratégias, como o brinquedo, o diálogo, no intuito de diminuir o impacto de uma internação hospitalar para as crianças, favorecendo um cuidado humanizado não só para a criança, mas também a família.
EDUCAÇÃO EM DIREITOS HUMANOS E ENSINO SUPERIOR: UMA ANÁLISE DO CURRÍCULO E DA FORMAÇÃO DOCENTE NAS LICENCIATURAS DO INSTITUTO FEDERAL DO CEARÁ.
Authors: Benevides Marinina Gruska , De Amorim Rosendo Freitas , Rego Ernny Coelho
Published: June 2018

Este trabalho analisa como os Projetos Políticos Pedagógicos-PPCs dos cursos de Licenciatura do Instituto Federal de Educação– IFCE têm contemplado a Educação em Direitos Humanos – EDH na formação dos alunos, futuros professores. A metodologia empregada contemplou a pesquisa bibliográfica e documental, com adoção de termos-chaves e a construção de grades de análises abordando três eixos observados nos PPCs: Perfil do Egresso, Matriz Curricular e Bases Legais; intencionando compreender como a educação em direitos humanos é contemplada na formação discente. Foi possível observar que a EDH no ensino superior ainda é contemplada de forma elementar e desarticulada do debate sobre os Direitos Humanos, o que sugere desafios para a concretização do direito à EDH. Observa-se que é primordial o fortalecimento de estratégias que incluam a educação em direitos humanos no cotidiano das instituições, e nas práticas educativas para a formação docente nos cursos de educação superior.
A Novel Chebyshev Series Fed Linear Array with High Gain and Low Sidelobe Level for WLAN Outdoor Systems
Authors: Tang The Toan , Nguyen Minh Tran , Truong Vu Bang Giang
Published: June 2018

This paper proposes a novel high gain and low sidelobe level (SLL) linear microstrip array antenna for outdoor WLAN applications. The antenna consists of two main parts, which are a linear array and a reflector. The linear array comprises of 10 elements; those have been designed on Rogers RT/Duroid 5870tm with the dimensions of 422×100×10.15 mm3. To gain low SLLs, a series fed network was designed to have the output signals being proportional to the Chebyshev distributions (with preset SLL of -30 dB). Furthermore, Yagi antenna theory has been applied by adding directors above every single element to increase the directivity of the single element. The reflector has been constructed at the back of the proposed structure. Simulation results show that the array can provide high gain of 17.5 dBi and a low SLL of -26 dB. A prototype has been fabricated and measured. Good agreements between simulation and measurement data have been obtained.
A Very Wideband Circularly Polarized Crossed Straight Dipole Antenna with Cavity Reflector and Single Parasitic Element
Authors: Tran Huy Hung , Doan Minh Thuan , Bui Cong Danh , Khang Nguyen Truong
Published: June 2018

A very wideband circularly polarized (CP) crossed dipole antenna is presented in this paper. The primary radiating element of the antenna consists of two straight dipoles arranged orthogonally through double printed rings. To further enhance the axial ratio bandwidth, a cavity with proper size and single parasitic element are employed to generate two additional bands. The use of cavity reflector is investigated thoroughly, providing a solid framework for designing this type of antennas. The final design with an overall size of 0.92λo × 0.92λo × 0.32λo at the center CP frequency yields a measured –10 dB-impedance bandwidth of 75.2% and 3 dB-axial ratio bandwidth of 67.7%. The proposed antenna exhibits right-handed circular polarization and an average broadside gain of about 8.3 dBi over the CP operating bandwidth.
Кризисы психологии в сетевом столетии
Authors: Асмолов Александр Григорьевич
Published: June 2018

speech at the RPS V congress
День влюбленных в психологию (о работе V съезда РПО)
Authors: Дикая Людмила Александровна , Попова Лариса Владимировна
Published: June 2018

In the article there is presented a brief review of the work of the V Congress of the Russianpsychological society: participants, plenary session, work of sections and press conferences.