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Review the Utilization of Big Data and K-Means Algorithm in Supporting the Determination of Village Status As Support to the Ministry of Village PDTT 2

Review the Utilization of Big Data and K-Means Algorithm in ...

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2nd International Conference on Sciences and Technology Applications, ICOSTA 2020

作者： Hasugian, Paska Marto Hutahaean, Harvei Desmon Sinaga, Bosker Sriadhi Silaban, Saronom Informatics Engineering Study Program STMIK Pelita Nusantara Medan Indonesia Computer Science and Informatics Education Study Program Faculty of Engineering Universitas Negeri Medan Medan20221 Indonesia Departement of Chemistry Universitas Negeri Medan Medan20221 Indonesia

Big data refers to big data, fast data processing, diversity of data structures, and data values so that it is not possible to be processed with outdated methods. Big data technology is used in various industrial sectors. Big data technology is the whole technology that can handle Big Data. Some of the uses of big data are based on the largest significant data traffic sources such as social media, financial transactions, public data, sensor data, and corporate data. The same is the case with the status of so many villages in Indonesia, so it is better to use big data for the classification of village status based on the village index build by involving an algorithm process. This research aims to produce a description of the role of big data in supporting activities in a grouping. The method used is a qualitative approach related to data collection based on scientific work with the source of data information needed to study literature techniques from various studies that have been published in national and international journals. A decision is made that big data has been widely used in different circles to facilitate performance and speed up the decision-making process. © Published under licence by IOP Publishing Ltd.

关键词： Data mining

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Identification of areas in probability of being deforested, through logistic regression. study in Chihuahua (Mexico) for period 2007-2013 1

Identification of areas in probability of being deforested, ...

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1st IEEE Mexican Geospatial Science Congress, CNCG 2016

作者： Bravo-Peña, Luis Carlos Torres-Olave, María Elena Alatorre Cejudo, Luis Carlos Wiebe-Quintana, Lara Cecilia Moreno-Murrieta, Ramón Leopoldo Granados-Olivas, Alfredo Program of Geo-Informatics Ciudad Juarez Autonomous University Mexico Program of Architecture Mexico Institute of Engineering Ciudad Juarez Autonomous University Mexico

ISBN: (纸本)9781538618639

The objectives of this work were to identify areas in probability of being deforested in the west of Chihuahua, Mexico, and their causal variables, using a logistic regression model. The work was developed in a Geographic Information System, through the deployment and statistical regression between ten layers of geographic information (biophysical and socioeconomic) related to deforestation and deforested areas of four municipalities of the state during the period 2007-2013. The results indicate a good predictive power of the technique (McFadden's Pseudo-R2 of 0.26), and identify the degree of marginalization, land slope, land tenure and soil agrological aptitude as the variables with the biggest weight in the loss of forests. The findings facilitate the environmental management of forested areas, and the mitigation of causes of deforestation in already degraded areas. © 2016 IEEE.

关键词： Deforestation

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Hydrodynamic Properties of a Moored Floating Breakwater using CFD Approach 8

Hydrodynamic Properties of a Moored Floating Breakwater usin...

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8th International Seminar on Ocean and Coastal engineering, Environmental and Natural Disaster Management, ISOCEEN 2020

作者： Abdullah, S.F. Fitriadhy, A. Mohd, M.H. Rahman, M.A.A. Suntoyo Kurniawan, A. Pratikto, W. Program of Maritime Technology Faculty Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Malaysia Surabaya Indonesia Program of Ocean Engineering Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Indonesia

In presence of complex-hydrodynamic interaction between water wave and moving structure, a reliable method that can analyse nonlinear phenomena is necessarily required. This paper presents numerical investigation of a moored floating breakwater using computational fluid dynamic (CFD) approach. The mathematical model is based on the extended Reynolds Average Navier-Stokes (RANS) solver for solid-porous obstacle. A high amplitude wave with several wave periods were deliberately considered in the simulation to allow nonlinear wave effects on the floating structure such as wave breaking, overtopping, including viscous friction. Here, the two fluid calculation method for interface boundary between water and air is proposed to capture the complex free surface changes. In addition, the fractional average volume obstacle representation (FAVOR) using partial cell treatment method is employed to simulate the motion of breakwater boundary on the free surface. Approximations and validations on the hydrodynamic properties of the structure have been carried out which include wave transmission coefficient, sway, heave, pitch, and mooring forces. The results show that the CFD model can fairly simulate well on hydrodynamics of the floating breakwater. The discrepancies between numerical and experimental data can be partly attributed to the nonlinearity in the incident wave definition. © Published under licence by IOP Publishing Ltd.

关键词： Computational fluid dynamics

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Real Market Basket Analysis using Apriori and Frequent Pattern Tree Algorithm

Real Market Basket Analysis using Apriori and Frequent Patte...

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2021 International Conference on Computer, Control, informatics and Its Applications - Learning Experience: Raising and Leveraging the Digital Technologies During the COVID-19 Pandemic, IC3INA

作者： Christian, Michael Albert Nathanael, Nathanael Mauliani, Annisa Indrawati, Ariani Manik, Lindung Parningotan Akbar, Zaenal Informatics Engineering Program Study Kwik Kian Gie School of Business Jakarta Indonesia Research Center for Informatics National Research and Innovation Agency Bandung Indonesia

ISBN: (纸本)9781450385244

Recently, data mining has been implemented in various fields, including business and telecommunications. Data mining is a technique for extracting and detecting patterns in massive data sets that combines machine learning, statistics, and database systems. One of the most important use-cases in data mining is finding the high-frequency patterns between the set of itemset called association rules. Association rule mining is a well-researched technique for finding some relations between variables in large databases. This paper aims to measure the performance of the Apriori and Frequent Pattern Tree algorithms by comparing them using several points of comparison. Then we compared the outputs, whether they produce the same or different rules, to find out whether the way the two algorithms work is similar or not. After that, we looked for the itemsets that best match the reality in the market by giving them to a user who had transaction data from his spare parts shop. © 2021 ACM.

关键词： Association rules

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Face recognition system using Viola Jones, histograms of oriented gradients and multi-class support vector machine 3

Face recognition system using Viola Jones, histograms of ori...

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3rd International Conference on Science, ICOS 2019

作者： Arafah, M. Achmad, A. Indrabayu Areni, I.S. Electrical Engineering Department Hasanuddin University Makassar Indonesia Informatics Study Program STMIK AKBA Makassar Indonesia Department of Informatics Hasanuddin University Makassar Indonesia

This study aims to determine the best distance to install a CCTV camera in identifying a person's face in the passenger inspection area at the airport, which can be developed for suspect detection systems. The training data used is in the form of an image with five different angles per person, while the testing data is in the form of video. The initial stage conducted is face detection based on local features (a pair of eyes, nose, and mouth) in the input data using the Viola-Jones method. The face detection results process with pre-processing, feature extraction, and classification. In the pre-processing stage, the Brightness Enhancement (BE), Grayscale and Contrast Limited Adaptive Histogram Equalization (CLAHE) methods are used to improve the quality of the detected face. Furthermore, the feature extraction and classification stages use the Histogram of Oriented Gradient (HOG) and the Multi-class Support Vector Machine (MSVM) methods, respectively. The result shows that the best accuracy obtained is 86.76% for a CCTV camera distance of 300 cm and a height of 250 cm. © Published under licence by IOP Publishing Ltd.

关键词： Face recognition

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A study on medical imaging equipment productivity and utilization

A study on medical imaging equipment productivity and utiliz...

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61st Annual Conference and Expo of the Institute of Industrial Engineers

作者： Hu, Mengqi Industrial Engineering Program School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85281 United States

ISBN: (纸本)9780983762409

The importance of efficient utilization of expensive imaging equipment has been brought to full public attention by the current health care debates. In particular, the use of imaging equipments such as Computed Tomography (CT), Mammography (MG) and Magnetic Resonance Imaging (MRI) is known to contribute to the rising cost with health care. Though medical practices and research attempt to address this issue through measuring and improving imaging equipment productivity, the analysis has mainly focused on enterprise (hospital, clinical) level instead of operational (examination) level. This is due to the lack of technical data available from medical imaging. We have recently developed and implemented an enterprise wide imaging dose tracking system for Mayo Clinic which enables a comprehensive study on imaging equipment utilization. In this research, we first propose three standardized productivity metrics to study the imaging equipment productivity. Design of experiment is then conducted to identify significant factors affecting equipment productivity and utilization. The insights can be gained for medical administrators to better allocate resource and schedule resource utilization that in turn may reduce health care expenses.

关键词： Health care

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Internet of Things for Real-Time Multi Room Monitoring System 1

Internet of Things for Real-Time Multi Room Monitoring Syste...

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1st IEEE International Conference on Smart Technology, ICE-SMARTec 2023

作者： Tae, Kim Sung Suhartomo, Antonius Vincent President University Study Program of Electrical Engineering Bekasi Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9798350306156

Electronic devices have become an integral component in our daily activities. In fact, the consumption of electrical energy in households reached 49% in 2018, and is expected to increase to 58% in 2050. Concurrently, the LPG is the second highest consumed energy in the household and is expected to increase to 37% in 2050. However, the devices utilizing these energies could lead to a danger such as housefire if not operated and treated carefully. An Internet of Things (IoT)-based smart home monitoring system would solve this problem, especially by effectively monitoring several parameters in the house simultaneously. In this study, a system is built to monitor and control three rooms in the house independently and simultaneously. The sensors and/or actuators in all rooms are controlled by NodeMCU ESP8266s. All microcontrollers are linked via the Internet to a local server, where all data is analyzed, saved, and transmitted to the user using the MQTT protocol. The monitoring is done by the user via MQTT dashboard in the smartphone. Following testing, the three microcontrollers are fully capable of exchanging data with the user's smartphone. The humidity changed by 1%, while the temperature changed by 0.1 °C. Perfect data interchange is possible between the relays, flame, gas, and movement activity sensor. © 2023 IEEE.

关键词： Informatization

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The implementation of smart trash as smart environment concept

The implementation of smart trash as smart environment conce...

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2018 International Conference Series on Life Cycle Assessment: Life Cycle Assessment as A Metric to Achieve Sustainable Development Goals, ICSoLCA 2018

作者： Rahmayanti, Henita Oktaviani, Vina Syani, Yusuf Transportation Program Civil Engineering Faculty of Engineering State University of Jakarta Rawamangun Indonesia Informatics Education Studies Program Electrical Engineering Faculty of Engineering State University of Jakarta Rawamangun Indonesia Electronics Engineering Vocational and Education Program Electrical Engineering Faculty of Engineering State University of Jakarta Rawamangun Indonesia

One of the efforts to improve the quality of urban environment is smart environment concept that has become one of six of smart city indicators such as smart government, smart economy, smart people, smart mobility, and smart living. Smart environment means an environment that provides comfort, resources, physical and nonphysical beauty, and visual for the people, also students in their schools. This research aimed to apply the concept of smart trash bin in schools. This smart trash bin that detects rubbish based on rubbish group (plastic and metal). In addition, the smart trash bin has a function as education for the students as well. It has explanation about knowledge and how to use the trash bin so the students have awareness to keep environment clean and beauty. The research used Research and Development method from Borg and Gall model. The target of this research was the students in elementary school. The final result of this smart trash bin was a feasibility test product. There will be a test for the students using questionnaire. So that this smart trash bin is effective to improve the knowledge of students about rubbish. © The Authors, published by EDP Sciences, 2018.

关键词： Students

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What does functional connectivity tell us about the behaviorally-functional connectivity of a multifunctional neural circuit?

What does functional connectivity tell us about the behavior...

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2022 Conference on Artificial Life, ALIFE 2022

作者： Izquierdo, Eduardo J. Candadai, Madhavun Cognitive Science Program Indiana University Luddy School of Informatics Computing and Engineering Indiana University United States

What insights can statistical analysis of the time series recordings of neurons and brain regions during behavior give about the neural basis of behavior? With the increasing amount of whole-brain imaging data becoming available, the importance of addressing this unanswered theoretical challenge has become increasingly urgent. We propose a computational neuroethology approach to begin to address this challenge. We evolve dynamical recurrent neural networks to be capable of performing multiple tasks. We then analyze the neural activity using popular network neuroscience tools, specifically functional connectivity using Pearson’s correlation, mutual information, and transfer entropy. We compare the results from these tools against a series of informational lesions, as a way to reveal their degree of approximation to the ground-truth. Our initial analysis reveals an overwhelming large gap between the insights gained from statistical inference of the functionality of the circuits based on neural activity and the actual functionality of the circuits as revealed by mechanistic interventions. © Artificial Life Conference Proceedings 2022.

关键词： Recurrent neural networks

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Assessment of ripeness analysis of information technology supervision on DS and ME domains using COBIT 4.1 in the information engineering department of Musamus Merauke 1

Assessment of ripeness analysis of information technology su...

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1st International Conference of Interdisciplinary Research on Green Environmental Approach for Sustainable Development, ICROEST 2019

作者： Prayitno, A. Rahayu, T.K. Sumaryanti, L. Efendi, A. Department of Informatics Universitas Musamus Merauke Indonesia Civil Engineering Study Program Universitas Muhammadiyah Buton Indonesia

Information technology plays an essential role in the business world because it may affect the operations of the organization within the organization that also uses information technology to provide information. One of the departments that use information technology is the Information engineering Department of Musamus Merauke University, which is used to provide information related to the Department of Information engineering. But in the use of information technology is still flawed. Therefore, it is necessary to have a standard in information technology management to measure overall standards and governance in information technology management, ie using COBIT. Based on this study, we will design an information technology management model for the Department of Information engineering. Control objectives for information and related technologies (COBIT) are 4 (4) primary domains, including domains, planning, and organization (PO), acquisition and implementation (AI), transmission and support (DS) and tracking. And evaluating (ME) in research. This will use two domains, namely the delivery domain and support (DS) and monitoring and evaluation (ME) by adjusting the problems and requirements of the information engineering department in the arrangement. Information technology support for information technology service processes and support for monitoring and evaluation of information technology, the results showed that the level of maturity of information technology supervision in the information engineering department is at level 2. Therefore, information technology in the engineering department Information must be updated to the expected level. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Information use

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