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4th International Conference on Information and Communications Technology, ICOIACT 2021

作者： Antoni, Darius Septiyanti, Reni Akbar, Muhamad Herdiansyah, Muhammad Izman Department of Informatics Engineering Graduate Program Bina Darma University Palembang Indonesia

ISBN: (纸本)9781665433945

As it is known that the city government of Palembang has implemented e-government, but how much e-government can help the Palembang city government to interact between the government and all levels of society including the poor in Palembang city. In its application, the condition of e-government services is still insufficient for the infrastructure to support e-government services for the poor in Palembang city. To design e-government services such as good digital population services, it is necessary to design IS / IT services for people in Palembang City with the Service Design stage in the 2011 Version of the Information Technology Infrastructure Library (ITIL) Framework so that they can be accepted by all levels of society including the poor in Palembang city. This study uses a qualitative approach. The results of this research are in the form of a digital population service information system design such as administrative and population services, Family Hope program (PKH) services and digital archive storage services based on the Service Design stages in ITIL Version 2011 that have been carried out, namely the Service Catalog Management process and Service Level Management in the form of documents. Service Level Requirements, Service Level Agreement and Operational Level Agreement. © 2021 IEEE

关键词： Information management

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License plate Recognition for moving vehicles case : at night and under rain condition 2

License plate Recognition for moving vehicles case : at nigh...

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2nd International Conference on informatics and Computing, ICIC 2017

作者： Ismail, Muh Department of Informatics Electrical Engineering Study Program Hasanuddin University Makassar Indonesia

ISBN: (纸本)9781538629840

Research for the detection and identification of existing license plate focus on static image under different weather conditions. This research aims to detect and recognize the license plate on moving vehicle at night and under rain condition. The method used to detect license plate is Cascade Classifier with Local Binary Pattern (LBP) as a descriptor, top-hat transform for image enhancement, and recognizing character of license plate detected is using Optical Character Recognition (OCR) and Template Matching (TM). The testing process using 9 videos data with duration 30 seconds. The testing result that accuracy rates LBP OCR reach 77.42% increase 32.26% than without top-hat transform and LBP TM 64.52% increase 45.16% than without top-hat transform. © 2017 IEEE.

关键词： Local binary pattern

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Oxygen Availability Control and Monitoring System in Hospitals using IoT 4

Oxygen Availability Control and Monitoring System in Hospita...

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4th International Conference on Electrical, Electronics, informatics, and Vocational Education, ICE-ELINVO 2021

作者： Nugraha, Nikko Aji Bayu Mashoedah Post Graduate Program of Electronic and Informatics Engineering Education Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

Medical Gas is an important component in the treatment of patients with COVID-19 disease. Medical gas is used to help COVID-19 patients to reduce the effects of respiratory disorders by providing oxygen ventilators to patients. With the surge in typical COVID-19 sufferers as of July 2021, the need for Oxygen in hospitals is getting higher. This is when the control and monitoring of medical gases in hospitals are late because the integrated system is very dangerous. Therefore, a system that can be used to control and monitor medical gases in hospitals that are integrated and automated and can be monitored by the Government and Medical Gas Producers. This is useful for anticipating the lack of availability of Medical Gas in hospitals. In this study, the system used IoT systems as a base in delivery and control. This system uses Arduino as a minimum system that reads the press sensor on the Medical Gas tube and regulates the valve. The data obtained is then sent to the Local Server to be processed and delivered to the Hospital Officer. Local Servers also send the data to cloud servers to be monitored by the government funds of several medical gas producers. This design can help in the process of controlling and monitoring Medical Gases in hospitals in hopes of minimizing the risk of delays in supplying medical gases to hospitals. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Hospitals

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Performance analysis of parallel programs using prober as a single aid tool 14

Performance analysis of parallel programs using prober as a ...

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14th Symposium on Computer Architecture and High Performance Computing

作者： Góes, LFW Ramos, LES Martins, CAPS Informatics Institute Post-Graduation Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Brazil

ISBN: (纸本)0769517722

Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from different software tools are aggregated. It can be used as a single tool to aid the developer in the performance analysis of parallel programs. Our main goal is to provide a new version of Prober, with additional features. Among them we can highlight: the interpretation of user scripts, a user-level support library the generation of speedup and efficiency graphics, batch execution and a new user interface. In order to show, verify and analyze the use of the new version of Prober, we did performance tests in a parallel image convolution program. We added performance measuring routines to collect performance data within different internal code segments;built a set of scripts to specify the performance tests;ran the set of scripts in batch mode;used Prober to generate graphics and statistics based on the collected performance data;and analyzed the results rising Prober as an aid tool.

关键词： Convolution Graphics Image analysis Image segmentation Performance analysis Radio access networks Software libraries Software tools Testing User interfaces

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Generalization is not a universal guarantee: Estimating similarity to training data with an ensemble out-of-distribution metric

arXiv

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arXiv 2025年

作者： Schreyer, W. Max Anderson, Christopher Thompson, Reid F. Computational Biology Program Oregon Health & Science University PortlandOR United States Department of Biomedical Engineering Oregon Health & Science University PortlandOR United States Portland VA Research Foundation PortlandOR United States Department of Radiation Medicine Oregon Health & Science University PortlandOR United States Department of Medical Informatics and Clinical Epidemiology Oregon Health & Science University PortlandOR United States Division of Hospital and Specialty Medicine VA Portland Healthcare System PortlandOR United States

Failure of machine learning models to generalize to new data is a core problem limiting the reliability of AI systems, partly due to the lack of simple and robust methods for comparing new data to the original training dataset. We propose a standardized approach for assessing data similarity in a model-agnostic manner by constructing a supervised autoencoder for generalizability estimation (SAGE). We compare points in a low-dimensional embedded latent space, defining empirical probability measures for k-Nearest Neighbors (kNN) distance, reconstruction of inputs and task-based performance. As proof of concept for classification tasks, we use MNIST and CIFAR-10 to demonstrate how an ensemble output probability score can separate deformed images from a mixture of typical test examples, and how this SAGE score is robust to transformations of increasing severity. As further proof of concept, we extend this approach to a regression task using non-imaging data (UCI Abalone). In all cases, we show that out-of-the-box model performance increases after SAGE score filtering, even when applied to data from the model’s own training and test datasets. Our out-of-distribution scoring method can be introduced during several steps of model construction and assessment, leading to future improvements in responsible deep learning implementation. Copyright © 2025, The Authors. All rights reserved.

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Integration of HTML tables in web pages

Integration of HTML tables in web pages

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International Conference on Data and Software engineering, ICODSE 2015

作者： Akbar, Memen Azizah, Fazat Nur Putri Saptawati, G.A. Magister in Informatics Study Program School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Data and Software Engineering Research Group School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781467384285

The growing number of web pages on the internet introduces a need to combine and integrate information from HTML tables of different web pages that contain similar information into a single web page, especially information from the same domain of interest. This paper presents an approach of HTML table integration by combining several existing methods that are proved to solve different issues in the integration processes. The integration of HTML table consists of three phases: (1) extraction of the structure of the tables;(2) integration of the tables' schema;(3) integration of the data values. To solve the conflicts in semantics and naming in the tables schema, domain-ontology is used. To improve quality of integration of data values in the tables, the vector space model is used to check the duplications of data values. As the integration result, a single HTML table is obtained. The approach is implemented on an engine built using Phyton. Results of the experiment shows that the engine can successfully integrate two HTML tables into single table. © 2015 IEEE.

关键词： Websites

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Development Of Scholarship Sustainability Analysis Application Every Semester On STMIK Pelita Nusantara Students 4

Development Of Scholarship Sustainability Analysis Applicati...

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4th IEEE International Conference of Computer Science and Information Technology, ICOSNIKOM 2022

作者： Br Tarigan, Nera Mayana Sinaga, Bosker Panggabean, Erwin Sagala, Jijon Raphita Informatics Engineering Study Program Stmik Pelita Nusantara Medan Indonesia Software Engineering Study Program Stmik Pelita Nusantara Medan Indonesia

ISBN: (纸本)9798350399073

Decision making in an organization is needed a system. Decision support system is a system that helps company management and education in decision making that provides information, modeling and analyzing data with the application of a method. The management, especially higher education, must maximize sophisticated technology. For example, to analyze scholarship data. Problems are found in manual data analysis so that human errors often occur in addition to using more time than the target, losing old data, resulting in inaccurate analysis of scholarship sustainability every semester. The research was conducted to overcome the problems that have been found by analyzing the existing data with the simple additive weighting method, building a system by applying the method and testing the system. The result of this research is to produce an application for the development of a decision support system in managing student data to determine the sustainability of the scholarship every semester. Applications that are built can help the management in managing scholarships. © 2022 IEEE.

关键词： Decision support systems

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Understanding and controlling the geometry of memory organization in RNNs

arXiv

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arXiv 2025年

作者： Haputhanthri, Udith Storan, Liam Jiang, Yiqi Raheja, Tarun Shai, Adam Akengin, Orhun Miolane, Nina Schnitzer, Mark J. Dinc, Fatih Tanaka, Hidenori CNC Program Stanford University United States James H. Clark Center for Biomedical Engineering & Sciences Stanford University United States Kipo AI San Francisco United States Simplex Astera Institute EmeryvilleCA United States Geometric Intelligence Lab UC Santa Barbara Santa Barbara United States Howard Hughes Medical Institute United States Physics & Informatics Laboratories NTT Research Inc. SunnyvaleCA94085 United States Kavli Institute for Theoretical Physics UC Santa Barbara United States CBS-NTT Program in Physics of Intelligence Harvard University CambridgeMA94305 United States

Training recurrent neural networks (RNNs) is a high-dimensional process that requires updating numerous parameters. Therefore, it is often difficult to pinpoint the underlying learning mechanisms. To address this challenge, we propose to gain mechanistic insights into the phenomenon of abrupt learning by studying RNNs trained to perform diverse short-term memory tasks. In these tasks, RNN training begins with an initial search phase. Following a long period of plateau in accuracy, the values of the loss function suddenly drop, indicating abrupt learning. Analyzing the neural computation performed by these RNNs reveals geometric restructuring (GR) in their phase spaces prior to the drop. To promote these GR events, we introduce a temporal consistency regularization that accelerates (bioplausible) training, facilitates attractor formation, and enables efficient learning in strongly connected networks. Our findings offer testable predictions for neuroscientists and emphasize the need for goal-agnostic secondary mechanisms to facilitate learning in biological and artificial networks. © 2025, CC BY.

关键词： Phase space methods

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Development of attitude assessment instrument in engineering mathematics 1 course to assess discussion on MOOC platform 7

Development of attitude assessment instrument in engineering...

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7th International Conference on Mathematics, Science, and Education 2020, ICMSE 2020

作者： Yuniwati, I. Yustita, A.D. Hardiyanti, S.A. Suardinata, I.W. Mechanical Engineering Program Mechanical Engineering Department Politeknik Negeri Banyuwangi East Java Banyuwangi Indonesia Management Business of Tourism Program Informatics Engineering Department Politeknik Negeri Banyuwangi East Java Banyuwangi Indonesia Civil Engineering Program Civil Engineering Department Politeknik Negeri Banyuwangi Kabat East Java Banyuwangi Indonesia Informatics Enggineering Program Informatics Engineering Department Politeknik Negeri Banyuwangi East Java Banyuwangi Indonesia

Affective assessment instruments have been developed, especially those related to attitudes. In engineering mathematics learning 1 through the MOOC platform, it was carried out with discussion. The development of attitude instrument assessment to assess student activity was carried out after learning was complete. This development research used the Plomp Model. The Plomp Model consisted of 5 stages. They were the initial investigative stages, design stage;construction stage;the test, evaluation, revision stages;and implementation stages. Two experts and trials carried out validation were carried out on 100 students. The result of developing an attitude assessment instrument was a questionnaire. The difference from other questionnaires lies in paying attention to the internal continuum interval of attitudes developed by Bloom's Taxonomy. They were Responding, Valuing, and Organization. Afterward, The instrument is tested for reliability and validity until it is declared to validate each item and the instrument's reliability in the excellent category. The value of Cronbach's Alpha instrument is 0.848. The value indicates that the attitude assessment instrument is classified as having good criteria. Then the instrument is implemented in discussion on the MOOC Platform. © Published under licence by IOP Publishing Ltd.

关键词： Surveys

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Double exponential smoothing brown method towards sales forecasting system with a linear and non-stationary data trend 3

Double exponential smoothing brown method towards sales fore...

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3rd International Conference on Vocational Education and Technology, IConVET 2020

作者： Dharmawan, P.A.S. Indradewi, I.G.A.A.D. Study Program of Informatics Engineering Stmik Stikom Indonesia Denpasar-Bali80225 Indonesia

UD Parama Store is a trading company engaged in selling retail goods that sell various types of daily necessities retail. The major problems occurred are the difficulty in predicting the sales due to the maturity level of experience, customer demand changes, and the owner's limited memory. Therefore, there should be an increase of merchandise stock to prevent any sudden decrease in sales and overcome the stock shortage when there is an increase in sales. In this current research, a sales forecasting web-based system was designed and built to assist the owner in predicting the number of sales in the next period. As a result, decisions can be made in determining the number of goods to be provided. The forecasting method used was double exponential smoothing brown by improving forecasting, averaging (smoothing) the past value of a time coherent data, and decreasing (exponential), which requires one parameter only. It was used to increase and decrease the linear and non-stationary data. The calculation of forecasting accuracy using the MAPE (Mean Absolute Percentage Error) method in forecasting sales of merchandise produces the smallest error rate ranging from 7.99% to 32.42% for 10 different items. © Published under licence by IOP Publishing Ltd.

关键词： Sales

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