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Organization model for information system project: a literature review & blended learning case

IOP Conference Series: Materials Science and engineering 2018年第1期420卷

作者： Krisna Adiyarta Mohammad Syafrullah Darmawan Napitupulu Tata Sutabri Robbi Rahim Program Studi Magister Ilmu Komputer Universitas Budi Luhur Jakarta Indonesia Research Center for Quality System and Testing Technology Indonesian Institute of Sciences Banten Indonesia Fakultas Teknologi Informasi Universitas Respati Indonesia Jakarta Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia

Along with the development of information technology today, the development of information systems is also increasing. Organizations and personal competitions to make an information system. A reliable information system is produced by a team that has the ability to design, design and validate. With the increasing number of students at XYZ College and limited existing building facilities then one of the solutions that will be applied is the development of e-learning system to support teaching and learning activities. One important element in project management is determining the organizational model to be used. The purpose of this study is to determine whether the organization model is effective to manage the e-learning system project in the PT. The research method used is literature study and interviews with key stakeholders, especially leaders of universities. The results show that the effective organizational model for the blended learning information system project is to use functional organizational structure, since functional organization is more appropriate for small to medium scale projects, focusing on the division of tasks based on the function of each part, the difficulty level is low and the limitationof resources.

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Analysis of plant pattern using water balance and cimogram based on oldeman climate type

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IOP Conference Series: Earth and Environmental Science 2018年第1期195卷

作者： R E Caraka M Tahmid R M Putra A Iskandar M A Mauludin Hermansah N E Goldameir H Rohayani B Pardamean Bioinformatics and Data Science Research Center (BDSRC) Bina Nusantara University Jakarta Indonesia 11480 Indonesia Agency for Meteorology Climatology and Geophysics Indonesia Informatics Engineering STMIK AKBA Makassar Laboratory of Sociology and Extension Universitas Padjadjaran Universitas Riau Kepulauan Riau University Universitas Adiwangsa Jambi Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The transfer of land has an impact on the decreasing of the agricultural land area, so it is necessary to plan the right cropping pattern as an effort to increase the productivity of agricultural cultivation. Also, Climate is one of the factors influencing the determination of cropping pattern in a region. Analysis of climatic characteristics in the determination of cropping pattern not only based on oldeman climatic classification. At the same time, the study of groundwater availability for plants and climogram of climatic elements is needed in determining planting schedule which is suitable for planting and determination of irrigation water supply, either the right amount of time. This study aims to identify and build spatial of the oldeman climate classification. It also determines the cropping pattern for seasonal crops based on the calculation of water balance and climogram (rainfall and air temperature) in each type of climate oldeman district of Cirebon and surrounding areas. Data used monthly rainfall data period 1981-2010 from BMKG Jatiwangi station and air temperature data, plant coefficient and the base map of Cirebon region. The analysis method includes classification of Oldeman climate type, spatial data processing, water balance calculation by Thorntwaite & Matter method and making climogram (rainfall and temperature) with: k = p0 + p1/FC; p0 = 1.000412351; p1 = -1.073807306 and determination of planting pattern of each type of oldeman

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Non-intrusive load monitoring and analytics for device prediction

Non-intrusive load monitoring and analytics for device predi...

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International Multiconference of Engineers and computer Scientists 2016, IMECS 2016

作者： Rao, Kovvali Manasa Ravichandran, Durga Mahesh, Kavi Department of Environmental Engineering Arizona State University TempeAS United States Data Science Program University of Southern California Los AngelesCA United States KAnOE Department of Computer Science PES University India

ISBN: (纸本)9789881925381

Non-intrusive load monitoring (NILM) is a critical problem in creating consumer awareness about electrical power consumption in households with the objective of eliminating wastage and reducing overall energy consumption in a society. Many approaches have been explored in non-intrusive load monitoring in recent times with a focus on machine learning of appliance-level details and user activity from analysis of aggregate power consumption. Several technologies and devices have also been developed to collect power consumption data and perform analysis on voltage and current waveforms. However, not much work has been done in analyzing NILM data against demographic parameters such as time of day or day of week as well as occupancy data of households. This article presents a novel approach to identifying active devices and predicting future power usage using demographic data in addition to aggregate power usage over time. We find that SVM (Support Vector Machine) with Edge Analysis works best for device identification and ARMA (Autoregressive Moving Average Model)works best for predicting future power consumption using time series forecasting. We have also collected real aggregate power consumption data from a typical household in India and produced perhaps the first such dataset.

关键词： Forecasting

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Light-emitting hyperbolic metasurfaces at telecom frequencies

Light-emitting hyperbolic metasurfaces at telecom frequencie...

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Novel Optical Materials and Applications, NOMA 2016

作者： Smalley, Joseph S.T. Vallini, Felipe Montoya, Sergio Ferrari, Lorenzo Riley, Conor T. Shahin, Shiva Kanté, Boubacar Fullerton, Eric Liu, Zhaowei Fainman, Yeshaiahu Department of Electrical and Computer Engineering University of California San Diego United States Material Science Program University of California San Diego United States Department of NanoEngineering University of California San Diego United States

We demonstrate light-emitting hyperbolic metasurfaces in the 1200-1600nm spectral range. The multilayer configuration, ideal for planar integration, enables characterization of hyperbolic dispersion by polarization an... 详细信息

ISBN: (纸本)9781943580149

关键词： Light

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Fat percentage evaluation through portable ultrasound in adolescents: A comparison with dual energy X-ray absorptiometry

Fat percentage evaluation through portable ultrasound in ado...

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IEEE EMBS Conference on Biomedical engineering and Sciences (IECBES)

作者： Wagner Luis Ripka Pedro Miguel Gewehr Leandra Ulbricht Graduate Program in Electrical and Computer Engineering Federal University of Technology - Paraná Curitiba Brazil Graduate Program in Biomedical Engineering Federal University of Technology - Paraná Curitiba Brazil

ISBN: (纸本)9781467377928

Ultrasound has been pointed as a low cost and extremely practical new tool for monitoring body composition and obesity. Thus, this study aims at analyzing the performance of portable US, in comparison with dual energy X-ray absorptiometry (DXA) reference method, in specific equations for predicting fat percentage on male adolescents. 143 male adolescents aged from 12 to 17 years old were evaluated and data on corporal mass, height and fat percentage were collected by US (%BF US) and DXA (%BF). The initial evaluation showed an under estimation of the US method (mean = 10.57 % and standard deviation = 4.45%) in comparison with DXA reference method (mean = 19.94 % and standard deviation = 5.36%). The creation of a specific model, developed from the US measurements, allowed values of R 2 = 0.853 with standard error of the estimate = 1.49. Bland-Altman concordance graphic analysis did not present significant bias. Results suggest that it is possible to use portable US technology to evaluate fat percentage in adolescents, provided that a specific mathematical modeling is used.

关键词： Fats Mathematical model Ultrasonic imaging Obesity Pediatrics Correlation Standards

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Distributed multi-robot coordination for dynamic perimeter surveillance in uncertain environments

Distributed multi-robot coordination for dynamic perimeter s...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Alexander Jahn Reza Javanmard Alitappeh David Saldaña Luciano C. A. Pimenta Andre G. Santos Mario F. M. Campos Graduate Program in Electrical Engineering (PPGEE) National Institute of Science and Technology for Cooperative Autonomous Systems Applied to Security and Environment Departamento de Informatica Universidade Federal de Vicosa Computer Science Department Universidade Federal de Minas Gerais Universidade Federal de Minas Gerais Belo Horizonte MG BR

In this work, multiple robots circulate around the boundary of a desired region in order to create a virtual fence. The aim of the this fence is to avoid internal or external agents crossing through the delimited area. In this paper, we propose a distributed technique that allows a team of robots to plan the deformation of the boundary shape in order to escort the safe region from one place to a goal. Our proposal is composed of two parts. First, we present a distributed planning method for the dynamic boundary. We model the resulting plan as a twice differentiable function. Second, we use the obtained function to guide the robot team, where every member uses only local information for the controller. The robots distribute themselves along the time-varying perimeter and patrol around it. We show in simulation how the robots behave in partially/totally unknown environments with static obstacles.

关键词： Shape Robot kinematics Trajectory Planning Robot sensing systems Dynamics

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Bagging-based active learning model for named entity recognition with distant supervision

Bagging-based active learning model for named entity recogni...

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International Conference on Big Data and Smart Computing (BIGCOMP)

作者： Sunghee Lee Yeongkil Song Maengsik Choi Harksoo Kim Program of Computer and Communications Engineering Kangwon National University Chuncheon-si Gangwon-do Korea

Named entity recognition (NER) is a preliminary step to performing information extraction and question answering. Most previous studies on NER have been based on supervised machine learning methods that need a large amount of human-annotated training corpus. In this paper, we propose a semi-supervised NER model to minimize the time-consuming and labor-intensive task for constructing the training corpus. The proposed model generates weakly labeled training corpus using a distant supervision method. Then, it improves NER accuracy by refining the weakly labeled training corpus using a bagging-based active learning method. In the experiments, the proposed model outperformed the previous semi-supervised model. It showed F1-measure of 0.764 after 15 times of bagging-based active learning.

关键词： Training Dictionaries Data models Bagging Biological system modeling Refining Data mining

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Author Correction: The interrelation of sleep and mental and physical health is anchored in grey-matter neuroanatomy and under genetic control

Communications biology

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Communications biology 2020年第1期3卷 290页

作者： Masoud Tahmasian Fateme Samea Habibolah Khazaie Mojtaba Zarei Shahrzad Kharabian Masouleh Felix Hoffstaedter Julia Camilleri Peter Kochunov B T Thomas Yeo Simon Bodo Eickhoff Sofie Louise Valk Institute of Medical Science and Technology Shahid Beheshti University Tehran Iran. Sleep Disorders Research Center Kermanshah University of Medical Sciences Kermanshah Iran. Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich Germany. Institute of Systems Neuroscience Heinrich Heine University Düsseldorf 40225 Düsseldorf Germany. Maryland Psychiatric Research Center University of Maryland School of Medicine Baltimore MD 21201 USA. Department of Electrical and Computer Engineering Clinical Imaging Research Centre N.1 Institute for Health and Memory Networks Program National University of Singapore Singapore 119077 Singapore. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA 02114 USA. Centre for Sleep and Cognition National University of Singapore Singapore 119077 Singapore. NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119077 Singapore. Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich Germany. svalk@fz-juelich.de. Institute of Systems Neuroscience Heinrich Heine University Düsseldorf 40225 Düsseldorf Germany. svalk@fz-juelich.de.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Brain Perfusion Mediates the Relationship Between miRNA Levels and Postural Control

Cerebral cortex communications

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Cerebral cortex communications 2020年第1期1卷 tgaa078页

作者： Yufen Chen Amy A Herrold Zoran Martinovich Sumra Bari Nicole L Vike Anne J Blood Alexa E Walter Jaroslaw Harezlak Peter H Seidenberg Manish Bhomia Barbara Knollmann-Ritschel Khrystyna Stetsiv James L Reilly Eric A Nauman Thomas M Talavage Linda Papa Semyon Slobounov Hans C Breiter Center for Translational Imaging Department of Radiology Feinberg School of Medicine Northwestern University Chicago IL 60611 USA. Edward Hines Jr. VA Hospital Research Service Hines IL 60141 USA. Mental Health Services and Policy Program Department of Psychiatry and Behavioral Sciences Northwestern University Feinberg School of Medicine Chicago IL 60611 USA. Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago IL 60611 USA. Mood and Motor Control Laboratory Departments of Neurology and Psychiatry Massachusetts General Hospital and Harvard Medical School Boston MA 02129 USA. Department of Kinesiology Pennsylvania State University University Park PA 16802 USA. Department of Epidemiology and Biostatistics Indiana University Bloomington IN 47405 USA. Departments of Orthopaedics & Rehabilitation and Family & Community Medicine Penn State College of Medicine Hershey PA 17033 USA. Department of Pathology Uniformed Services University of the Health Sciences Bethesda MD USA. Weldon School of Biomedical Engineering Purdue University West Lafayette IN 47907 USA. School of Electrical and Computer Engineering Purdue University West Lafayette IN 47907 USA. Department of Emergency Medicine Orlando Regional Medical Center Orlando FL USA.

Transcriptomics, regional cerebral blood flow (rCBF), and a virtual reality-based spatial motor task were integrated using mediation analysis in a novel demonstration of "imaging omics." Data collected in National Collegiate Athletic Association (NCAA) Division I football athletes cleared for play before in-season training showed significant relationships in 1) elevated levels of miR-30d and miR-92a to elevated putamen rCBF, 2) elevated putamen rCBF to compromised Balance scores, and 3) compromised Balance scores to elevated microRNA (miRNA) levels. rCBF acted as a consistent mediator variable (Sobel's test < 0.05) between abnormal miRNA levels and compromised Balance scores. Given the involvement of these miRNAs in inflammation and immune function and that vascular perfusion is a component of the inflammatory response, these findings support a chronic inflammatory model in these athletes with 11 years of average football exposure. rCBF, a systems biology measure, was necessary for miRNA to affect behavior.

关键词： football athletes head acceleration events microRNAs postural control regional cerebral blood flow

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Content validity of critical success factors for e-Government implementation in Indonesia

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IOP Conference Series: Materials Science and engineering 2018年第1期352卷

作者： D Napitupulu M Syafrullah R Rahim A Amar YG Sucahyo Research Center for Quality System & Testing Technology Indonesian Institute of Sciences Tangerang Selatan Banten Indonesia Program Studi Magister Ilmu Komputer Universitas Budi Luhur Ciledug Raya Petukangan Utara Kebayoran Lama Jakarta Selatan School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia Department of Statistics Universitas Negeri Makassar Makassar Indonesia Computer Science Faculty Universitas Indonesia Depok Jawa Barat

The purpose of this research is to validate the Critical Success Factors (CSFs) of e-Government implementation in Indonesia. The e-Government initiative conducted only to obey the regulation but ignoring the quality. Defining CSFs will help government agencies to avoid failure of e-Government projects. A survey with the questionnaire was used to validate the item of CSF based on expert judgment through two round of Delphi. The result showed from 67 subjects in instrument tested; there are 11 invalid items deleted and remain only 56 items that had good content validity and internal reliability. Therefore, all 56 CSFs should be adopted by government agencies in Indonesia to support e-Government implementation.

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