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2nd International Conference on Electronic and Electrical engineering and Intelligent System, ICE3IS 2022

作者： Ardiyanto, Yudhi Adi, Kusworo Kurnianingsih Putra, Karisma Trinanda Utomo, Pradityo System School of Postgraduate Studies Universitas Diponegoro Doctoral Program of Information Semarang Indonesia Universitas Muhammadiyah Yogyakarta Faculty of Engineering Department of Electrical Engineering Yogyakarta Indonesia Universitas Diponegoro Faculty of Science and Mathematics Department of Physics Semarang Indonesia Politeknik Negeri Semarang Faculty of Engineering Department of Electrical Engineering Semarang Indonesia Universitas Merdeka Madiun Faculty of Engineering Department of Informatics Management Madiun Indonesia

ISBN: (纸本)9781665465410

The decline in physical, cognitive, and sensory functions for most elderly people leads to the development of several health issues such as memory loss, a tendency to fall, dizziness, and reduced ability to care for oneself independently. These can be mitigated using devices designed to monitor vital signs and human activity such as a smart band. However, the application of a smart band is characterized by a disadvantage which involves storing user data in the vendor's cloud and only one device can access the client applications. Therefore, nurses, doctors, and family members cannot simultaneously analyze data and receive alerts when abnormal conditions occur in elderly patients. This study aims to develop a system capable of monitoring the health conditions of multiple elderly individuals and sending alerts during abnormal conditions based on the heart rate value read by the smart band sensor. The process involved installing a database on the Raspberry Pi to store data while a monitoring system was built on the Node-RED platform to display elderly health data and made it accessible locally. The detection of an abnormal heart rate condition in the elderly patient leads the system to send notifications via telegram to multiple receivers registered in the system using their telegram identity. © 2022 IEEE.

关键词： Heart

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Deep Learning Methods for Plankton Identification: A Bibliometric Analysis and General Review 1

Deep Learning Methods for Plankton Identification: A Bibliom...

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1st International Conference on Smart Technology, Applied informatics, and engineering, APICS 2022

作者： Ardhi, Ovide Decroly Wisnu Soeprobowati, Tri Retnaningsih Adi, Kusworo Prakasa, Esa Rachman, Arief School of Postgraduate Studies Universitas Diponegoro Doctoral of Information System Program Semarang Indonesia Vocational School Universitas Sebelas Maret Department of Informatics Engineering Surakarta Indonesia Universitas Diponegoro Faculty of Science of Mathematics Department of Biology Semarang Indonesia Universitas Diponegoro Faculty of Science of Mathematics Department of Physics Semarang Indonesia Bandung Indonesia Jakarta Indonesia

ISBN: (数字)9781665489850

ISBN: (纸本)9781665489850

This study investigates trends in deep learning research on microscopic images to identify and classify plankton. We performed a bibliometric analysis using VOSviewer to display the visualizations. The first step is to extract the relevant journals from the Scopus database. Extraction from relevant journals found 42 articles, including 21 journals and 21 conferences. We analyzed publication trends and analyzes of co-authorship, co-occurrence, and citations. In addition, it examines the collaborative relationship between authors by country, the emergence of co-author keywords, and the citation of journal sources. We found that the researchers performed plankton classification tasks that achieved high accuracy (>90%). The plankton identification method uses a deep learning architecture based on the Convolutional Neural Network. Among the architectures are AlexNet, GoogleNet, InceptionV3, VGGNet (16.19), ResNet (50.101), DenseNet, NasNet, MobileNetV2, ResidualNet, Shufflenet, EfficienNet, and CapsNet. Some researchers combine CNN with SparseConvNets, LMP, SVM, MorphoCluster, and Quantification Algorithm (CC, AC, PCC, PAC, Hdy). Some methods also implement transfer learning, fine-tuning, and advanced features. In addition to the CNN approach, End-to-End Object Detection with transformers is one of the new approaches in the future to identify plankton. © 2022 IEEE.

关键词： Deep learning

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Wall to wall optimal transport 15

Wall to wall optimal transport

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15th European Turbulence Conference, ETC 2015

作者： Doering, Charles R. Souza, Andre N. Chini, Gregory P. Hassanzadeh, Pedram Department of Physics University of Michigan United States Department of Mathematics University of Michigan United States Center for the Study of Complex Systems University of Michigan United States Department of Mechanical Engineering Program in Integrated Applied Mathematics and Center for Fluid Physics University of New Hampshire United States Centre for the Environment Department of Earth and Planetary Sciences Harvard University United States

The calculus of variations is employed to find steady divergence-free velocity fields that maximize transport of a tracer between two parallel walls held at fixed concentration for one of two constraints on flow strength: a fixed value of the kinetic energy or a fixed value of the enstrophy (the mean square rate of strain in this situation). The optimizing flows realize upper limits on convective transport in this scenario. We interpret the results in the context of buoyancy-driven Rayleigh–Bénard convection problems that satisfy the flow intensity constraints, enabling us to investigate how optimal transport scalings compare with upper bounds on Nu expressed as a function of the Rayleigh number Ra. © TU Delft.

关键词： Kinetic energy

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A scholarship recruitment and selection strategy that successfully attracts diverse and academically talented freshmen

A scholarship recruitment and selection strategy that succes...

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114th Annual ASEE Conference and Exposition, 2007

作者： Papadopoulos, Chris Brucks, Karen Key, Eric Munson, Ethan Vairavan, K. University of Wisconsin Milwaukee United States Department of Civil Engineering and Mechanics University of Wisconsin Milwaukee United States UWM Computer Science Engineering and Mathematics Scholarship Program Brazil Department of Mathematical Sciences University of Wisconsin Milwaukee United States Mathematical Science Department UWM's Actuarial Science Program Department of Electrical Engineering and Computer Science University of Wisconsin-Milwaukee United States ACM SIGWEB Group on Hypertext Hypermedia and the Web Department of Electrical Engineering and Computer Science Department of Medical Informatics

We describe recruitment and selection procedures of the Computer Science, engineering, and mathematics Scholarship (CSEMS) program at the University of Wisconsin-Milwaukee that are designed to attract students who are academically talented, financially needy, and diverse. In particular, we address the possible exclusion of underrepresented minority students that could result if standardized test scores are used indiscriminately as metrics of student performance in both recruitment and selection procedures. We describe a "conditional award" process that enables students whose calculus placement is moderately below calculus to competitively apply for and receive scholarships;awards to such students are activated on the condition that they attempt to attain calculus placement prior to matriculation. We present data that demonstrate moderate effectiveness of these methods in fostering diversity among our scholars and reasonably encouraging retention and estimated graduation rates. We discuss areas of improvement for future program years, such as forging new partnerships with local Project Lead The Way high schools to recruit higher numbers of females and minorities, and developing new mentoring opportunities to reduce attrition, especially among underrepresented minority students. © American Society for engineering Education, 2007.

关键词： Social aspects

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Clustering spatial on the GSTAR model for replacement new oil well

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AIP Conference Proceedings 2013年第1期1554卷 205-209页

作者： Budi Nurani Ruchjana Atje Setiawan Abdullah Toni Toharudin I Gede Nyoman Mindra Jaya Department of Mathematics Faculty of Mathematics and Natural Sciences Universitas Padjadjaran Indonesia Informatics Engineering Study Program Faculty of Mathematics and Natural Sciences Universitas Padjadjaran Indonesia Department of Statistics Faculty of Mathematics and Natural Sciences Universitas Padjadjaran Jl Raya Bandung Sumedang Km 21 Jatinangor Sumedang 45363-West Java Indonesia

Space time models such as the Generalized Space Time Autoregressive (GSTAR) is an important theoretical research topics with many applications in large number of areas ranging from the spread of diseases, mining, economic growth, ecology, agriculture and population development. In this paper we introduce a clustering spatial for determining a group of locations for weight matrix of the GSTAR model. We use Ordinary Least Squares method to estimate the parameters of model and apply the result to develop a GSTAR-Kriging model for replacement new oil wells at volcanic field in Jatibarang, West Java-Indonesia.

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Prototype Design of Smart Diabetic Shoes with Lora Module Communication

Prototype Design of Smart Diabetic Shoes with Lora Module Co...

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2023 International Conference on Computer Science, Information Technology and engineering, ICCoSITE 2023

作者： Purwono, Purwono Burhan, Asmat Nisa, Khoirun Wibisono, Sony Kartika Setiawan Mangkunegara, Iis Dewi, Pramesti Ma'Arif, Alfian Suwarno, Iswanto Universitas Harapan Bangsa Department of Informatics Purwokerto Indonesia Universitas Harapan Bangsa Department of Anesthesiology Nursing Purwokerto Indonesia Universitas Harapan Bangsa Department of Information Technology Purwokerto Indonesia Universitas Harapan Bangsa Nursing Study Program Purwokerto Indonesia Universitas Ahmad Dahlan Department of Electrical Engineering Yogyakarta Indonesia Universitas Muhammadiyah Yogyakarta Department of Engineer Professional Program Yogyakarta Indonesia

ISBN: (纸本)9798350320954

Diabetes is a disease that affects many people in the world. Diabetes mellitus is a type of metabolic disease in a person who suffers from blood glucose levels with extreme conditions, namely insufficient insulin production in the human body. Monitoring diabetes is an important concern for researchers because it can be useful for improving the quality of the nursing service system. One of the common conditions in diabetic patients is ulceration which is difficult to detect on time. Technology can minimize the total cost of monitoring chronic diseases such as Diabetes continuously and on time. This research focuses on solutions to produce IoT-based smart diabetic shoes that utilize pressure sensors and the temperature of the feet of people with diabetic feet. Smart diabetic shoes are made using the Lora E32 module to be applied to areas with poor internet connections. The results of the testing carried out for 60 seconds in this study succeeded in detecting the area of the foot that experienced the greatest pressure, which was located on the rear footrest with a portion of pressure of around 25 - 28% of the total body weight. The patient's foot temperature increases when the pedestal load is greater. The Lora E32 module also functions as a media transmitter and receiver at a distance of 2.2 km in sending sensor data. © 2023 IEEE.

关键词： Diseases

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Magnetic and Optical Properties of a-Fe2O3/TiO2 Nanocomposite Derived from Logas Natural Sand for Environmental Application

Magnetic and Optical Properties of a-Fe2O3/TiO2 Nanocomposit...

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2024 International Conference on Applied Sciences and Material Applications, ICASMA 2024

作者： Amiruddin, Erwin Awaluddin, Amir Rini, Ari S. Umar, Lazuardi Rianna, Martha Hadilala, Teguh P. Putri, Novalin Department of Physics Faculty of Mathematics Natural Sciences Riau University Pekanbaru28293 Indonesia Department of Chemistry Faculty of Mathematics Natural Sciences Riau University Pekanbaru28293 Indonesia Department of Physics Faculty of Mathematics and Natural Sciences Universitas Sumatera Utara Medan20155 Indonesia Magnetic Laboratory Faculty of Mathematics and Natural Sciences Riau University Pekanbaru28293 Indonesia Laboratorium Jalan Civil Engineering Magister Study Program Faculty of Civil Engineering Diponegoro University Central Java Semarang50275 Indonesia

In this study, the iron oxide/titanium dioxide (a-Fe2O3/TiO2) nanocomposites derived from Logas natural sand were prepared by ball milling method. The effects of milling time on the magnetic, optical properties and chemical composition of the nanocomposites were investigated using vibrating sample magnetometer (VSM), Uv-Vis spectroscopy and X-ray fluorescence (XRF) spectroscopy, respectively. The magnetization measurement results of all the samples showed the presence of ferromagnetic behaviour characterized by their low coercivity value ranged from 360.10 Oe to 86.50Oe. The optical properties of the samples strongly depend on milling time and showed that the band gaps of the iron oxide/titanium dioxide (a-Fe2O3/TiO2) nanocomposites decrease with increasing milling time. Some other elements such as silicon, aluminium and others were detected, which shows that the milled sample is not purely a-Fe2O3/TiO2 nanocomposites as confirmed by X-Ray Fluorescence. This study demonstrates the simple way of preparing the a-Fe2O3/TiO2 nanocomposites for environmental application. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Milling (machining)

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Digital Technology in Health Education Trend Mapping through Bibliometrics Analysis 4

Digital Technology in Health Education Trend Mapping through...

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4th International Conference on informatics, Multimedia, Cyber and Information System, ICIMCIS 2022

作者： Maulana, Fairuz Iqbal Lestari, Dian Widartha, Vandha Pradwiyasma Haidar, Nirwana Dirgantara, Wahyu School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Airlangga University Faculty of Medicine Surabaya60132 Indonesia Telkom University Information System of Industrial Engineering Faculty Bandung Indonesia University of Madura Informatics Engineering Study Program Pamekasan Indonesia University of Merdeka Malang Department of Electrical Engineering Malang Indonesia

ISBN: (纸本)9781665473279

This study examines the mapping of research data on digital technology in the field of health education using bibliometric analysis method. Data was collected by identifying keywords in the Scopus database and sorting them out to sort the studies from the last 10 years (2012-2021). Through this step, a total of 1482 documents were obtained (articles, journals, proceedings, books, and others). The data is then processed using the VOSViewer instrument to obtain a visualization of the mapping analysis. This study also analyzes the network types of authors and co-authors through the VOSViewer instrument. The result of this study indicates that the most document types published within ten years are Articles (66.5%), Review (22.9%), Conference Paper (4.2%), and others. The most studied subjects are Medicine (55.7%), Nursing (9.0%), Health Professions (8.2%), Social Sciences (7.8%), engineering (3.9%), Computer Science (2.6%), Environmental Science (2.6%), Biochemistry-Genetics and Molecular Biology (2.2%), Psychology (1.6%), and Dentistry (1.3%). This study offers a written communication process and the nature and direction of developing descriptive means of counting and analyzing the various phases of communication as well as recognizing the authorship and direction of its symptoms in documents on the subject of digital technology in the health sector. © 2022 IEEE.

关键词： Mapping

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Disaster Robot Navigation using Behavior-based Systems 3

Disaster Robot Navigation using Behavior-based Systems

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3rd International Conference on Applied Science and Technology, iCAST 2020

作者： Kuswadi, Son Tamara, Mohamad Nasyir Brahmantio, Bagoes Taufiq Sugiharto, Debynata Mohammad, N.U.H. Mechatronic Study Program Machanical and Energy Department Politeknik Elektronika Negeri Surabaya Surabaya Indonesia Mechatronic Study Program Machanical and Energy Department Politeknik Negeri Banyuwangi Banyuwangi Indonesia PT Prima Nurjwan Samudera Indonesia Group Jakarta Indonesia PT Pabrik Kertas Tjiwi Kimia APP Sinar Mas Group Sidoarjo Indonesia Biomedical Engineering Department Faculty of Inteliigent Electrical and Informatics Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781728195674

In a natural disaster, it is often necessary to have an autonomous system capable of moving in an irregular and unpredictable area. This paper proposes a robot that is mechanically capable of moving in a disaster area and equipped with a navigation using behavior-based systems. Its mechanical, electronic and computing systems are described. The development of the primitive behavior that has been made is explained in detail. Several experiments have been carried out to show the performance of the proposed robotic systems. © 2020 IEEE.

关键词： Disasters

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Computer Modelling of the Information Properties of Hyper Chaotic Lorenz System and Its Application in Secure Communication System 1

Computer Modelling of the Information Properties of Hyper Ch...

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1st Paris Van Java International Seminar on Computer, Science, engineering, and Technology, PVJ ISComSET 2020

作者： Rusyn, Volodymyr Mujiarto Mamat, Mustafa Azharul, Firmansyah Mada Sanjaya, W.S. Sambas, Aceng Dwipriyoko, Estiyan Sutoni, Akhmad Yuriy Fedkovych Chernivtsi National University Kotsybynsky str. 2 Chernivtsi58012 Ukraine Department of Mechanical Engineering Universitas Muhammadiyah Tasikmalaya Indonesia Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Kuala Terengganu Malaysia Department of Mechanical Engineering Sekolah Tinggi Teknologi Cileungsi Indonesia Department of Physics Universitas Islam Negeri Sunan Gunung Djati Bandung Indonesia Informatics Study Program Universitas Langlangbuana Bandung Indonesia Department of Industrial Engineering Universitas Suryakancana Cianjur Indonesia

This paper presents computer modeling, analysis and research of the hyper-chaotic Lorenz system based on programming interface that has been developed in LabView software environment. This study allows for generating and research of the main information properties of hyper-chaotic Lorenz system, focusing on time distribution of the four chaotic coordinates, phase portraits and Lyapunov exponents. The programming interface demonstrates the algorithm of masking and decrypt of the information carrier. © Published under licence by IOP Publishing Ltd.

关键词： Lyapunov methods

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