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IEEE International Conference on Computational science and Engineering, CSE

作者： Wanderson Roger Azevedo Dias Edward David Moreno Institute of Computing-IComp Post-graduate Program in Informatics-PPGI Federal University of Amazonas Manaus Amazonas Brazil Center for Exact Sciences and Technology-CCET Department of Computer Science-DComp Federal University of Sergipe Aracaju Sergipe Brazil

This paper presents a new code compression method where we use different dictionaries, all of them are based in traditional Huffman algorithm. Our method reduces code size by up to 34.5% (including all extra costs) and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations using Simple Scalar and analyzes using the applications from benchmark MiBench and use the embedded processor ARM.

关键词： Dictionaries Embedded systems Analytical models Benchmark testing Memory management Decoding Energy consumption

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Sport Field Reservation Based on Mobile Application

Sport Field Reservation Based on Mobile Application

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International Conference on ICT For Smart Society (ICISS)

作者： Tonto Claudinus Made Prayoga Wicaksana Nicolas Kornelius Sitorus Marsa Ariqi Gustiandza Tanty Oktavia Ford Lumban Gaol Takaaki Hosoda School of Computer Science Bina Nusantara University Jakarta Indonesia School of Information Systems Bina Nusantara University Jakarta Indonesia Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (数字)9781665404228

ISBN: (纸本)9781665404235

This paper presents the sports apps based on a mobile application that has a function to help the provider or the owner of the sports field and sports vendor to promote their business in the apps. Due to the popularity and convenience that mobile applications had and high interest from many people in having a healthy life, it is a great opportunity to combine both of them. Therefore, this study focusses to build mobile sports application using object-oriented analysis and design method, that could meet the demand of lots of peoples that wants to do a sport especially a ball sport. Otherwise, the application can help and support the community and public, especially for ball sports fans, to make reservations for the sports field easier without having to come to the location and also meet their sporting needs.

关键词： Sports Mobile applications Business Schedules computer science Real-time systems IEEE merchandise

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Retracted: Implementation Method CUSUM to Determine the Accident Prone Areas in Web Based

Retracted: Implementation Method CUSUM to Determine the Acci...

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2018 Workshop on Multidisciplinary and Its Applications: Applied Mathematics, computer science, Information Systems, and Information technology, WMA-Mathcomtech 2018

作者： Dinata, Rozzi Kesuma Abdullah, Dahlan Hartono, H. Erliana, Cut Ita Riasti, Berliana Kusuma Iskandar, Akbar Sari, Ifit Novita Nurmawati, N. Nanuru, Ricardo Freedom Putri, Lusi Dwi Manurung, Rosida Tiurma Sriadhi, S. Saleh, A.A. Astari, T. Khaddafi, Muammar Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Informatics Universitas Sebelas Maret Surakarta Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Departement Of: Social Science Education Program Post Graduate Program Universitas Kanjuruhan Malang Malang Indonesia Faculty of Industry Technique University of 45 Surabaya Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia Department of Civil Engineering Universitas Lancang Kuning Pekanbaru Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Statistics Financial and Social Sciences Research Group Indonesia Department of Elementary School Teacher Education STKIP Citra Bangsa Aceh Utara Indonesia Department of Accounting Universitas Malikussaleh Aceh Indonesia

At the Unit Laka Lantas Polres Lhokseumawe determining accident-prone areas on roads in Lhokseumawe still using manual systems. Determination of accident-prone areas are less effective because the police Unit Laka Lantas Polres Lhokseumawe just using the data of the last year and had to repeatedly calculate manually accident-prone areas based on the number of human casualties. In this study the system implementation CUSUM method (Cummulative Summary) to determine the accident-prone areas designed using the web-based programming language PHP. In this system there are three processes to determine areas prone to accidents, the accident rate calculations based on the weighted severity, blacksite calculations using the Z-Score method for determining areas prone to accident blackspots and calculations using the CUSUM method to determine the critical points of an accident. The data used are secondary data obtained from the Police Unit Laka Lantas Polres Lhokseumawe years 2009-2013. © Published under licence by IOP Publishing Ltd.

关键词： Accidents

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Chemical composition, antioxidant and biological activity of leaves passiflora foetida

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Chemical Engineering Transactions 2018年 64卷 241-246页

作者： de Melo Filho, Antonio A. Kamezaki, Ângela Kinuko Ribeiro, Pedro R. E. de Melo, Ana Cristina G. R. Fernández, Ismael M. Santos, Ricardo C. Chagas, Edvan A. Chagas, Pollyana C. Post-Graduate Program in Chemistry PPGQ Center for Research and Graduate Studies in Science and Technology NPPGCT UFRR Paricarana Campus Boa Vista-RRCEP 69304-000 Brazil Departament of Chemistry UFRR Paricarana Campus Boa Vista-RRCEP 69304-000 Brazil Post-Graduate in Natural Resources Program Federal University of Roraima UFRR Paricarana Campus Boa Vista-RRCEP 69304-000 Brazil Post Graduate Program in Biodiversity and Biotechnology Bionorte State Coordination of Roraima UFRR Paricarana Campus Boa Vista-RRCEP 69304-000 Brazil National Postdoctoral Program of CAPES PNPD/CAPES associated to the Postgraduate Program in Agronomy POSAGRO/UFRR and Embrapa Boa Vista-RR Brazil Embrapa CNPq Research Produtivity Scholarship Rodovia 174 Km 8 Industrial District Boa VistaRRCEP 69301970 Brazil POSAGRO/UFRR Cauame Campus Boa Vista-RR Brazil

ISBN: (纸本)9788895608563

The aim of this study was to determine the chemical composition (IR), characterize minerals (ICP-OES), antioxidant activity, total phenols, inhibition of acetylcholinesterase (AChE) and antimicrobial activity of leaf extract of wild passion fruit (Passiflora foetida L.). The results obtained by Infrared of the hexane extract indicate the presence of aliphatic compounds such as fatty acids and esters, long chain alcohols and steroids. The major minerals were: phosphorus (1093.00 mg L-1), magnesium (418.77 mg L-1), sulfur (282.56 mg L-1) and potassium (157.46 mg L-1). The total phenolic content was 16.78 mg of gallic acid equivalent 100 g-1 extract. The hexane extract showed inhibition of 17.97% for antioxidant activity. The activity on AChE was 96.46% inhibition. As for microorganisms, the extract showed inhibition on Gram-positive bacteria Bacillus cereus (77.93%), Staphylococcus aureus (88.25%), Gram-negative Citrobacter freundii (82.74%), Salmonella typhimurium (83.21%) and yeast C. albicans (53.29%). Copyright © 2018, AIDIC Servizi S.r.l.

关键词： Hexane

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Probabilistic structure from sound

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Advanced Robotics 2009年第12-13期23卷 1687-1702页

作者： Wang, Chieh-Chih Lin, Chi-Hao Hu, Jwu-Sheng Department of Computer Science and Information Engineering Graduate Institute of Networking and Multimedia National Taiwan University Taipei 10617 Taiwan Intelligent Robotics Program of Industrial Technology Research Institute Department of Electrical and Control Engineering National Chiao Tung University HsinChu 310 Taiwan

Auditory perception is one of the most important functions for robotics applications. Microphone arrays are widely used for auditory perception in which the spatial structure of microphones is usually known. In practice, microphone array calibration can be tedious and other devices or means are required. The structure from sound (SFS) approach addresses the problem of simultaneously localizing a set of microphones and a set of acoustic events that provides a great flexibility to calibrate different setups of microphone arrays. However, the existing method does not take measurement uncertainty into account and does not provide uncertainty estimates of the SFS results. In this paper, we propose a probabilistic structure from sound (PSFS) approach using the unscented transform in which the uncertainties of the PSFS results are also available. In addition, a probabilistic sound source localization approach using the PSFS results is provided to improve sound source localization accuracy. The ample results of simulation and experiments using low-cost, off-the-shelf microphones demonstrate the feasibility and performance of the proposed PSFS approach. © 2009 VSP.

关键词： Microphone array

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Bioactive extracts from annona hypoglauca

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Chemical Engineering Transactions 2018年 64卷 289-294页

作者： dos Santos, Ricardo C. Chagas, Edvan A. de Melo Filho, Antônio A. Takahashi, Jacqueline A. Montero, Ismael F. Chagas, Pollyana C. Ribeiro, Pedro R. E. de Melo, Cristina G. R. National Postdoctoral Program of CAPES associated to POSAGRO/UFRR Campus Cauamé BR 174 s/n Km 12 District Monte Cristo Boa Vista-RRCEP 69310-250 Brazil Embrapa Rodovia 174 Km 8 Industrial District Boa VistaRRCEP 69301970 Brazil Post-Graduate Program in Chemistry Center for Research and Graduate Studies in Science and Technology UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Department of Chemistry Institute of Exact Sciences Universidade Federal de Minas Gerais UFMG Av Antonio Carlos no. 6627 Pampulha Belo Horizonte-MGCEP 31270-901 Brazil Post Graduate Program in Biodiversity and Biotechnology Bionorte State Coordination of Roraima UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Post Graduate in Agronomy POSAGRO UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Post-Graduate in Natural Resources Program Federal University of Roraima Boa Vista-RR Brazil

ISBN: (纸本)9788895608563

The aim was to analyze the bioactive potential of hexane and ethanolic extracts from leaves of Annona hypoglauca, Roraima, Brazil, against fungi (Aspergillus flavus and Fusarium proliferatum) and yeast (Candida albicans) and gram-positive bacteria (Staphylococcus aureus and Streptococcus sanguinis) and gram-negative (Escherichia coli and Salmonella typhimurium), antioxidant, antiacetylcholinesterase and cytotoxic activities against Artemia salina, in addition to verify a phytochemical screening. Antioxidant activity of the leaves ethanolic extract 51% to 50 µg mL-1, 16% at the same concentration for the hexane extract. The antiacetylcholinesterase activity presented high variation of the ethanolic extract and 59.76% in the hexane extract. The cytotoxic activity against A. salina was more efficient for the ethanolic extract of the leaves in 27% to 500 µg mL-1. The bioactivity of fungi and yeasts, the ethanolic extract of the leaves of A. hypoglauca showed no inhibition on the fungi F. proliferatum and A. flavus, but the hexane extract inhibited 40.0% and 59.5% on these fungi, respectively. For the inhibition of C. albicans, the extracts hexane (94.5-96.9%) and ethanolic (89.2-92.6%) of the leaves of A. hypoglauca, at all concentrations. Excellent inhibitions on gram-positive bacteria were given by the hexane extract in 100% to 500 µg mL-1, but low inhibition for the ethanolic extract for S. aureus in 21.6% to 125 µg mL-1 and for S. Sanguinis 35.5% to 500 µg mL-1. Inhibitions on gram-negative bacteria varied from 26.1% to 42.4% in ethanolic extract and 10.7% to 18.6% in hexanic extract for E. coli;as inhibition of S. typhimurium occurred from 9.3% to 61.1% in ethanolic extract and from 9.1% to 41.2% in hexane extract. Regarding phytochemical screening, the class of compounds observed qualitatively suggests the presence of saponins, flavonoids, triterpenoids and tannins. Copyright © 2018, AIDIC Servizi S.r.l.

关键词： Hexane

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Predicting Human Activity with LSTM Face Detection on Server Surveillance System

Predicting Human Activity with LSTM Face Detection on Server...

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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Alexander Nurenie Yaya Heryadi Lukas Wayan Suparta Yulyani Arifin Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Indonesia

Surveillance server technology was growth with new technology, effective, extra new features, human friendly, and human deals with big amount data, can't view and collect the data in the short time, and took time to analyze, playback video/picture to determine machine, human, vehicle or environment issues or performance, Surveillance Server Systems now which has the ability to face recognition, face detection, human detection, motion detection, license plate recognition, The authors perform this study that still new this research has never been done before to determine the efficacy of the LSTM in predicting human behavior (Long Short Term Memory) Face Detection on Server surveillance system, by taking log view data with a total of 91501 Face detection data downloaded from 10/18/2022~11/9/2022, the data will be processed using Python programming and training so that it can be used to predict the future regarding human activities that vary utilizing time series prediction LSTM include the number of daily activities, the highest and lowest numbers of days, and the maximum and minimum numbers of days. from the results of this study it was found to help to find out the days with the lowest number of humans and the days with the highest number of human activities, so that the owner can predict with sequence of the data the service would be provided when human activity is high in certain area or certain day, it can also can find out the maximum or minimum amount human counting day by day, and compare able some different date and location, the author will continue to do more in-depth research the others data related with prediction with deep learning server surveillance machine system interaction with human, vehicle behavior in the future studies.

关键词： Training Surveillance Time series analysis programming Behavioral sciences Servers Face detection

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Deep Learning with Greedy Layer-Wise Compound Scaling for Temperature and Humidity Prediction in Solar Dryer Dome

SSRN

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SSRN 2022年

作者： Cenggoro, Tjeng Wawan Elwirehardja, Gregorius Natanael Dominic, Nicholas Setiawan, Karli Eka Rahutomo, Reza Djuana, Endang Gunawan, Fergyanto E. Budiman, Arief S. Romeli, Sugiarto Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta11440 Indonesia Industrial Engineering Department BINUS Graduate Program Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Department of Manufacturing and Mechanical Engineering and Technology Oregon Institute of Technology Klamath FallsOR97601 United States PT. Impack Pratama Industri Jakarta Indonesia

Drying has been an eco-friendly and cost-efficient method to reduce post-harvest losses of agricultural crops. In various countries, the technique has been widely utilized in the form of Solar Dryer Dome (SDD) buildings. Accurate indoor microclimate forecasting is very important to implement smart control systems in SDDs that can maintain the ideal conditions, as the availability of solar energy is limited only at daytimes and the temperature may drop significantly during nighttimes in remote areas. The microclimate variables that play an important role in maintaining ideal environmental conditions include temperature and relative humidity. © 2022, The Authors. All rights reserved.

关键词： Forecasting

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Prediction for Biodiesel Quality using the Dielectric Properties

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IOP Conference Series: Materials science and Engineering 2019年第1期536卷

作者： Rahmawati Post Graduate Program of Agro-Industrial Technology IPB Bogor Indonesia & Politeknik Negeri Lhokseumawe Aceh Indonesia

Measurement of the quality of biodiesel during the purification process is necessary to ensure biodiesel meets the required standards. Water and glycerol concentrate critical parameters of the quality of the final product of biodiesel. The impurities of biodiesel (water and glycerol) have a strong correlation with dielectric properties due to polarity changes. Measurement of electrical properties produces 14 dielectric parameters namely impedance (Z), Modulus Young (Y), Phase, Capacitation series (Cs), Parallel capacitance (Cp), Displacement (D), Series Inductance (Ls), Parallel Inductance (Lp), Electric charge (Q), Series Resistance (Rs), Conductance (G), Parallel Resistance (Rp), electric susceptibility (X) and induction field (B). Parameters selection are needed for the efficiency of determining the quality of biodiesel. The research objective is to predict the quality of biodiesel during the purification process using the selected dielectric parameter analysis. The process of selecting parameters uses feature selection (Relief) and quality classification using Support Vector Machine (SVM). The election results show the parameters related to the purity of biodiesel are parallel capacitance (Cp), series resistance (Rs), and impedance (Z) and parallel inductance (Lp) at weights greater than 0.05. Based on the test, the AUC (Area under ROC) value is 0.87, the accuracy is 0.94 for the quality that meets (YES) and that does not meet (NO) biodiesel quality requirements.

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Deep Learning Model for Classifying Public Opinions on Energy Sector IHSG Stocks on the Twitter Social Media Platform

Deep Learning Model for Classifying Public Opinions on Energ...

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Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP), International Conference on

作者： Bambang Sulistio Yaya Heryadi Lukas Wayan Suparta Ilvico Sonata Computer Science Department Binus Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia

ISBN: (数字)9798350327472

ISBN: (纸本)9798350327489

Capital market transactions provide an opportunity for investors to acquire ownership of company shares and capital gains, as well as dividends. However, alongside the benefits, there are risks of capital loss and liquidation, leading to stress and depression due to profit targets and decision-making errors. To mitigate the risk of decision-making errors in investment, data analysis is needed, including sentiment analysis, which influences stock prices. This study aims to develop a new deep learning model to classify Indonesian public opinion on JCI stocks, especially the Energy sector, obtained from the Twitter social media platform. The model will perform sentiment analysis and categorize opinions as negative, neutral, or positive. We created a dataset that was trained using Bidirectional Encoder Representations from Transformers (BERT) to summarize the analysis of public sentiment above so that it can assist investors in studying public sentiment as a reference for investing with a yield precision of 76%, Recall of 77%, and F1-score on 76%.

关键词： Deep learning Sentiment analysis Analytical models Social networking (online) Blogs Decision making Text categorization Bidirectional control Transformers Encoding

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