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Medical Information Processing and Analysis (SIPAIM), International Symposium on

作者： Daniel Colin Garnica Ramon Cota-Aguiar Israel Vaca-Palomares Juan Fernandez-Ruiz Nidiyare Hevia-Montiel Jorge Perez-Gonzalez Master Program in Computer Science Universidad Nacional Autónoma de México Mérida México Facultad de Psicología Universidad Nacional Autónoma de México Mexico City México Unidad Académica del IIMAS en el Estado de Yucatán Universidad Nacional Autónoma de México Mérida México

Child malnutrition is a prevalent pathological condition in developing countries, such as Mexico, with scarce studies on its anatomical cerebral effects. This study analyzed 26 infants subjects that included brain volumes from two neuroimaging modalities: DTI and sMRI. Twelve of the subjects involved children with normal nutrition in their early years of life, and 14 represented severe malnutrition cases. Segmentation was obtained by FreeSurfer from 94 and 103 regions for sMRI and DTI modalities, respectively. Each region was analyzed using several morphological and diffusion features; afterwards, seven classification models were trained to differentiate between the two groups. The results indicate notable differences that allow accurate classification, with an accuracy up to 1.0 and an AUROC of 1.0 for classification with SVM, LR, KNN, and MLP algorithms.

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Framework Design of Information Retrieval System for Official Letter Using Extraction of Geometry Feature Method

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Journal of Physics: Conference Series 2020年第3期1477卷

作者： L Fabrianto Hendra Surohman Sfenrianto NM Faizah Master of Computer Science-Postgraduate Program STMIK Nusa Mandiri Jakarta Indonesia Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Information Systems Department Universitas Tama Jagakarsa Jakarta Indonesia

In a government institution many official letters are made daily, the letters have an official format in the Tanggal, No. Surat, Lampiran dan Hal. area, with an OCR (Optical Character Recognition) scanner an official letter can be digitized and processed to obtain characters that will be used as searches, but in fact in certain desired parts there are often handwriting, a method of pattern recognition is needed to recognize the handwriting. The process in this study including of normalization, segmentation and pattern recognition from labels in the Tanggal, No. Surat, Lampiran dan Hal. area,this system will generate output in text form, the output text is result that will use as a term in the process of the Information Retrieval System, so the search for an official letter will be easy to do. This study is only makes the framework design for the next research authors will explain the detail of process and results obtained.

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An integrated system of mobile application and IoT solution for pond monitoring

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IOP Conference Series: Earth and Environmental science 2021年第1期794卷

作者： Ferdinan Darmalim Alam Ahmad Hidayat Tjeng Wawan Cenggoro Kartika Purwandari Sutristo Darmalim Bens Pardamean NusaNet Jakarta Indonesia 12710 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The current progress of information and communication technology has been critical to the development of the Internet of Things (IoT) in a aquaculture system. IoT solution in this system utilizes interconnectivity between devices to obtain fish pond monitoring data from sensing devices and then transmit the data to a remote server to be analyzed for decision-making in pond management. In this paper, we propose a smart pond IoT solution that provides a continuous and real-time pond monitoring. The system principally embeds five sensors that measure critical environmental parameters to determine water quality: temperature, pH, dissolved oxygen (DO), total dissolved solids (TDS), and salinity. The IoT solution also integrates the development of a mobile application on the android platform that allows remote monitoring capabilities for users to maintain efficient pond management. The application is designed with a friendly-user interface that helps the farmer to monitor sensor measurements, manage fish production cycle, record fish feeding schedule, and also monitor the health status of fish from multiple ponds.

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Life Cycle Impact Assessment of Palm Biodiesel Production towards the Sustainability of Downstream Industry of Indonesia Palm Oil

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IOP Conference Series: Materials science and Engineering 2018年第1期453卷

作者： Sawarni Hasibuan Hermawan Thaheer Hidayati Juliza Master of Industrial Engineering Program Universitas Mercu Buana Jakarta. Computer Science Universitas Pakuan Bogor Industrial Engineering Department Universitas Sumatera Utara Medan

The biodiesel industry is a downstream palm oil industry group that is projected to continue to grow in Indonesia. In addition to meeting national needs in order to fulfill the mandatory biodiesel acceleration program B20 in Year 2020 and B40 in Year 2050, the penetration of Indonesian palm oil biodiesel export market to the EU is more open with RED enforcement. Nevertheless, Indonesia's downstream palm oil industry including biodiesel industry is faced with various negative campaign issues as it has not achieved the value of GHG Emission saving default value of 35 percent to be called an environmentally friendly product. The purpose of this study is to identify the dominant global environmental aspects and impacts of the biodiesel production process from Indonesian palm oil and to provide improvement recommendations that encourage the reduction of greenhouse gas emissions in the transportation sector of national biodiesel products. The sustainability of palm oil biodiesel industry is evaluated using life cycle impact assessment method. The research is done by combining quantitative and qualitative approach. The field survey was conducted in oil palm plantation companies, crude palm oil producers, and biodiesel producers located in North Sumatra. Improvement recommendations for improving the sustainability of Indonesia's downstream palm oil industry, especially the biodiesel industry from crude palm oil raw materials, refers to best practices and expert discussions.

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Study of runway crosswind and tailwind potential for airport sustainability: A study of Soekarno Hatta airport, Cengkareng, Indonesia

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IOP Conference Series: Earth and Environmental science 2021年第1期729卷

作者： W Sardjono Zulkarnain H Kusnoputranto TEB Soesilo DN Utama J Sudirwan Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management BINA NUSANTARA University Jakarta Indonesia 11480 Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia Faculty of Public Health University of Infonesia Jakarta Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 School of Information Systems Department BINUS Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480

Airport runway designs must consider wind climatology to reduce the potential for crosswind and tailwind events that can cause accidents and aircraft delays. The large potential of crosswind and tailwind on a runway at the airport is very detrimental to aircraft passengers and airlines. Therefore, it is necessary to know the potential of crosswind and tailwind on the runway of Soekarno Hatta Airport and find the right parameters for the approximate direction and speed of the wind on the airport runway. Analysis was carried out using the direction and wind speed data from the Soekarno Hatta meteorological station in 2007-2017 to determine the potential for crosswind and tailwind on the runway of Soekarno Hatta airport and run a Weather Research and Forecasting (WRF) weather model to determine the parameterization of the right weather model for wind forecast at Soekarno Hatta airport. The highest maximum crosswind component in the 2007-2017 period occurred in August 30.53 knots, while the highest maximum tailwind of 25 knots occurred in January for a 250-degree runway and 24 knots occurred in August for a 070-degree runway. The potential for crosswind and tailwind is different every month. The scheme produces forecasts of wind direction and speed with a strong level of correlation with observations of wind direction and speed from the Soekarno Hatta meteorological station, the correlation value is 0.61. The most significant social impact of plane delays is time loss for passengers. While the economic impact on one of the crosswind events at Soekarno Hatta airport was an economic loss for one airline of US $ 43,392.

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Dynamic logistic models for stock price fluctuation during Covid-19 pandemic in Indonesia

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AIP Conference Proceedings 2023年第1期2975卷

作者： Andree Sulistio Chandra Viska Noviantri Siti Komsiyah Ade Suhendar Mathematics Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Management Department BINUS Business School Master Program Bina Nusantara University Jakarta Indonesia 11480

Investment is one indicator that can affect the country’s economy. One type of investment with great demand is stocks, so stock price fluctuations are always interesting to be analyzed. This study aims to model stock price fluctuations represented by dynamic logistics models since the stock price has a nonlinear pattern and grows rapidly but with restricted value. The model will be discretized and converted into a differential equation so that the solution can derive for a short period. Meanwhile, fit and forecast data analysis is applied to some actual data for long periods. The data used in this study is the daily closing price of the Indonesia Composite Index (IDX Composite) during the Covid-19 pandemic. Thus, the fluctuation of stock prices in Indonesia during the Covid-19 pandemic can analyze further. The results indicate that our prediction has a high accuracy since the Mean Average Percentage Error (MAPE) average is 4.332%, and the Root Mean Square Percentage Error (RMSPE) average is 5.572%. This study shows that investors can use the dynamic logistic model results to improve their knowledge as a consideration in decision-making.

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Multiparty mediated quantum secret sharing protocol

arXiv

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arXiv 2021年

作者： Tsai, Chia-Wei Yang, Chun-Wei Lin, Jason Department of Computer Science and Information Engineering National Taitung University No. 369 University Rd. Taitung95092 Taiwan Center for General Education China Medical University No. 100 Jingmao Rd. Beitun Dist. Taichung City 406040 Taiwan Master Program for Digital Health Innovation College of Humanities and Sciences China Medical University No. 100 Jingmao Rd. Beitun Dist. Taichung City406040 Taiwan Department of Computer Science and Engineering National Chung Hsing University No. 145 Xingda Rd. Taichung South District40227 Taiwan

This study proposes a multiparty mediated quantum secret sharing (MQSS) protocol that allows n restricted quantum users to share a secret via the assistance of a dishonest third-party (TP) with full quantum capabilities. Under the premise that a restricted quantum user can only perform the Hadamard transformation and the Z-basis measurement, the proposed MQSS protocol has addressed two common challenges in the existing semi-quantum secret sharing protocols: (1) the dealer must have full quantum capability, and (2) the classical users must equip with the wavelength quantum filter and the photon number splitters (PNS) to detect the Trojan horse attacks. The security analysis has also delivered proof to show that the proposed MQSS protocol can avoid the collective attack, the collusion attack, and the Trojan horse attacks. In addition, the proposed MQSS protocol is more efficient than the existing SQSS protocols due to the restricted quantum users can only equip with two quantum operations, and the qubits are transmitted within a shorter distance. Copyright © 2021, The Authors. All rights reserved.

关键词： Quantum cryptography

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Meteorological parameters for PV installations in Indonesia

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AIP Conference Proceedings 2024年第1期3026卷

作者： Joko Pebrianto Trinugroho Alam Ahmad Hidayat Reza Rahutomo Bens Pardamean Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Information System Department School of Information Systems Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480

Many countries are still dependent on fossil fuels as their primary energy supply. However, there is a growing concern about the sustainability and the environmental issue of fossil fuels. Therefore, it is important to utilize renewable resources as the energy supply, such as solar energy. As a country with a tropical climate, Indonesia has a great potential to use solar energy, due to the abundance of sunlight exposure. The present study aims to analyze several meteorological parameters for the installation of photovoltaic (PV) technology in Jakarta, Indonesia. The meteorological data provided by the Ministry of Environment and Forestry, Indonesia from 2008-2021 were used at three different locations in Jakarta. Data visualizations were used to show the difference between each variable in different locations. In addition, the statistical difference between the variables in the three locations was also examined using the Mann-Whitney U test. The test shows that all parameters are evenly distributed in the three locations except for a moderate difference in air temperature in the two locations. Furthermore, the monthly analysis of the parameters also indicates that the dry season, especially from August to September, would be the optimal time to utilize PV technology. Hence, this study would be useful to give preliminary insight regarding a site-specified assessment of PV plants in Jakarta based on local meteorological data.

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IoT Solution for Intelligent Pond Monitoring

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IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Usin Darmalim Ferdinan Darmalim Sutristo Darmalim Alam Ahmad Hidayat Arif Budiarto Bharuno Mahesworo Bens Pardamean Mega Medica Pharmaceuticals Jakarta Indonesia 11840 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Channa striata or the striped snakehead fish is one of snakehead fish species which inhabits all types of freshwater bodies distributed across Asian countries. Because this fish is known to have higher albumin fraction (64.61%) of protein and other economic values, domestication, and cultivation of this fish has been done in many Asian countries such as Indonesia, China, Malaysia, Thailand, Bangladesh, and India. Environmental factors such as temperature, water pH, dissolved oxygen, total dissolved solids, and turbidity are important parameters must be considered inbreeding and growing this type of fish. The aim of this paper is to propose an IoT solution to automatically monitor these environmental factors. It is designed with affordable and open-source electrical components to provide a cost-efficient solution for farmers. Five sensors are used to measure each parameter. A web application prototype is also presented as a companion application for the users to get useful information from the IoT device. It is developed using a Pythonframework. By accessing this web application, the users can immediately detect any abnormal conditions of the pond.

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Prediction of Hydrogen Production Rate in Anaerobic Fermentation Using Grey Relation Analysis and Machine Learning

SSRN

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SSRN 2023年

作者： Wang, Yifan Wu, Jinghui Tseng, Yu-Yao Zhao, Chunliang Li, Keqing Wang, Xianze Wang, Ming-Hung Lay, Chyi-How Huo, Mingxin Engineering Research Center of Low-Carbon Treatment Green Development of Polluted Water in Northeast China Ministry of Education Changchun130117 China Science and Technology Innovation Center for Municipal Wastewater Treatment and Water Quality Protection Northeast Normal University Changchun130117 China Key Laboratory of Songliao Aquatic Environment Ministry of Education Jilin Jianzhu University Changchun130118 China Master's Program of Green Energy Science and Technology Feng Chia University Taichung40724 Taiwan Department of Computer Science and Information Engineering National Chung Cheng University Chiayi County Taiwan

Anaerobic fermentation for hydrogen production has many environmental factors that limit microbial activity, but machine learning has enormous potential in handling the complexity of biological processes. This study explores the potential of machine learning in predicting hydrogen production rates (HPR) from anaerobic fermentation of biomass energy. Grey relation analysis was conducted to determine the correlation between operational parameters and HPR. Five machine learning algorithms, such as decision tree (DT), random forest (RF), extreme gradient boosting (XGBoost), and K-nearest neighbor (KNN), were then paired with operating conditions and water quality performance as features and HPR as a label, with mean squared error (MSE) and R2 as evaluation indexes. Butyric acid, oxidation-reduction potential (ORP), and volatile suspended solids (VSS) were found to play crucial roles in hydrogen production from sucrose anaerobic fermentation. XGBoost had the highest accuracy with R2 of 0.91 and MSE of 0.0052. © 2023, The Authors. All rights reserved.

关键词： Machine learning

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