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IEEE International Conference on Communication, Networks and Satellite (ComNetSat)

作者： Pandapotan Siagian Erick Fernando Faculty of Informatics and Electrical Engineering Computer Engineering Study Program Del Institute of Technology North Sumatera Indonesia School of Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9780738125176

ISBN: (纸本)9781665418614

Nowadays, The roads have increased the number of streetlights for the roads vehicles/pedestrians, which raises investment and energy. Observations made to obtain most of the road lights are always active at night, even when there are no vehicles or pedestrians on the road. The problems that occur are the waste of energy sources that are used in streetlights. This research designs the concept of intelligent traffic flow based (LED) for energy optimization, maximum efficiency. This concept uses intelligent light architecture using the LoRaWAN Mesh network. The application of this concept offers system reliability, reduces costs, and makes user satisfaction. The results of this study are demonstrated by experimenting with comparing conventional LED lights. The proposed system, resulting in 33% to 62% energy savings depending on when the usage process in streetlights. Smart lighting LEDs with LoRaWAN provide a remote-control mechanism that can be dynamically adjusted based on environmental conditions, distance, and automatic motion.

关键词： Lighting Sensors Light emitting diodes Intelligent sensors Sensor systems Batteries Roads

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Android Based Heart-rate Monitoring System using ECG Sensor

Android Based Heart-rate Monitoring System using ECG Sensor

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International Conference on Sustainable engineering and Creative Computing (ICSECC)

作者： Rosalina Grace Selina Rila Mandala Faculty of Computing Information Technology Study Program President University Bekasi Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9781728175898

This research aims to help the user monitor their heart’s condition and notify other people in case of an emergency due to an abnormal heartbeat (normal heartbeat around 60-100 beats per minute). From the heart rate graph, the user could do a consultation with an expert in the nearest hospital using a map feature that will show the nearest hospital with a 1 KM radius from the user’s current location. The heart is undeniably an essential part of the human body system. The heart's missions are to pump blood to the lungs to expel the waste carbon dioxide that resulted from the respiration and pump blood that will deliver oxygen throughout the human body's circulation system. While the blood that carries oxygen being pumped throughout the human body, the heart will provide the oxygen to all cells. Body cells need to use oxygen to get the energy from food through a process called cellular respiration. Monitoring our heartbeat and pulse rate can increase people’s awareness about their heart’s health, motivating, and encouraging people to maintain a healthy eating plan and exercise. This research will be implemented ECG Sensor. The sensor will then send the data to the android application via HC-06 Bluetooth module. Monitoring the heart rate and analyzing the user’s heartbeat will be done in the android with a microcontroller device's help.

关键词： Bluetooth Heart beat Hospitals Microcontrollers Lung Electrocardiography Biomedical monitoring

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Corrigendum to “Behavioral aspects of safety culture: Identification of critical safety-related behaviors of motorcyclists in Indonesia's urban areas via the application of behavioral-based safety programs” [IATSS Research journal 46 (October 2022) 353–369]

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IATSS Research 2022年第4期46卷 623-623页

作者： Andrijanto Makoto Itoh Felix Sandro Sianipar Risk Engineering Department Graduate School of Systems and Information Engineering University of Tsukuba Ibaraki 305-8573 Japan Industrial Engineering Program Study Faculty of Engineering Universitas Kristen Maranatha Bandung 40164 Indonesia Faculty of Engineering Information and Systems University of Tsukuba Ibaraki 305-8573 Japan

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Comparison design of electric motorcycles using hybrid systems (BLDC motor) on 150Cc motorcycles based on parameter testing

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AIP Conference Proceedings 2023年第1期2592卷

作者： Pawenary S. Azzahra Hastuti Azis H. Andre A. S. Prabuwono Electrical Technology Study Program Faculty of Electricity and Renewable Energy PLN Institute of Technology Jakarta Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Andalas Padang Indonesia Rabigh Faculty of Computer and Information Technology (FCITR) King Abdulaziz University Jeddah Saudi Arabiaa

This study aims to know the comparison design of electric motorcycle using hybrid systems (BLDC Motor) based on parameter testing, i.e., with and without load. The design of electric motorcycles is centered on determining a feasibility study comparing engine drive with electric drive. Electric vehicles are the answer to decreasing petroleum supplies and environmental concerns that are worsening every year due to oil-fueled cars’ exhaust emissions. The proportion of motor vehicle exhaust as an air pollution source is between 60 and 70 percent. The global decrease of fossil fuels is also a critical issue that has yet to be handled. A descriptive statistic methodology was employed in this work as an analytical tool. The results showed when the speed increases, the efficiency of the BLDC motor would increase; this is, of course, following the principle of Orsted’s law and Lorentz force. When compared to the no-load test, the efficiency by using the load will be greater because when the BLDC motor works with a load, it will require greater torque due to an increase in load so that it takes a large amount of power so that it will increase the efficiency of the BLDC motor. When compared in terms of using the battery, the time of using the battery with no load will be longer because it does not require too much current.

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Handwriting prediction using the support vector machine method in web-based applications

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AIP Conference Proceedings 2022年第1期2659卷

作者： Syaifudin Dian Pratiwi Trubus Rahardiansyah Anasthesia Karunia Charles Hafiz Wijaya Khoirun Nisa 1Information System Study Program Faculty of Industrial Technology Universitas Trisakti Jakarta Indonesia 2Informatic Engineering Study Program Faculty of Industrial Technology Universitas Trisakti Jakarta Indonesia 3Department of Law Universitas Trisakti Jakarta Indonesia

Current technological advances have progressively encouraged individuals to use web-based applications. To determine the owner of a handwriting, one of the manual methods is generally done by people. And it can be done by a web application to find out the person’s handwriting. The Support Vector Machine (SVM) Method is a strategy of artificial intelligence used to recognize handwriting. This study intends to create a handwriting recognition framework using the Support Vector Machine (SVM) Method on a web-based application, with extraction features that are important as the basis for describing and characterizing handwritten images. The results obtained from predictions using the Support Vector Machine are by using 16 data and there are 80 tests carried out in total. The results obtained indicate that there are 25 incorrect prediction tests and 55 correct prediction tests so that the level of accuracy obtained is 68.75%.

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Assessment of debonding failures in the sandwich plate of stern ramp door of ferry Ro-Ro using k-nearest neighbor algorithm

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AIP Conference Proceedings 2023年第1期2674卷

作者： Safri Adam Tuswan Tuswan Abdi Ismail Achmad Zubaydi Bambang Piscesa Aditya Rio Prabowo Information Technology Study Program Politeknik Aisyiyah Pontianak 78114 Pontianak Indonesia Department of Naval Architecture Institut Teknologi Sepuluh Nopember 60111 Surabaya Indonesia Department of Naval Architecture Universitas Diponegoro Semarang Indonesia Ship Machinery Study Program Faculty of Vocational Studies Indonesia Defense University Belu Indonesia Department of Civil Engineering Institut Teknologi Sepuluh Nopember 60111 Surabaya Indonesia Department of Mechanical Engineering Universitas Sebelas Maret Indonesia Surakarta Indonesia

The difficulty in controlling the proper bonding during manufacturing sandwich for ship structure is a major problem. One of the damage types that often occurs is debonding caused by the lack of the adhesive layer bond between the two faceplate materials and the sandwich core at the centre. Furthermore, the identification of damage in ship structure becomes essential to ensure the structural integrity and security issues. Based on the issues above, damage identification on the sandwich plate of Ferry Ro-Ro with several debonding ratios using the k-NN algorithm was proposed. The cross-validation method was used to check the validity of the proposed algorithm model in practice. The proposed models were analyzed with various k-fold values, k-NN values, and number of iterations to investigate the influence of the those parameters on the accuracy of the model. From the result, it can be found that increasing k-fold value is the best strategy to increase the accuracy of the model. However, increase number of neighbors (k) caused a bias so that the accuracy decreased. The tests resulted in the highest accuracy of 97.60% obtained at k-fold 11 with k=3 and 90 iterations. It can be summarized that the large number of k-folds and small k-NN parameters do not require large iterations to obtain high prediction results.

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Polarization entanglement enabled by orthogonally stacked van der Waals NbOCl2 crystals

arXiv

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arXiv 2024年

作者： Guo, Qiangbing Wu, Yun-Kun Zhang, Di Zhang, Qiuhong Guo, Guang-Can Alù, Andrea Ren, Xi-Feng Qiu, Cheng-Wei Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore Centre for Advanced 2D Materials Graphene Research Centre National University of Singapore Singapore Singapore CAS Key Laboratory of Quantum Information CAS Synergetic Innovation Center of Quantum Information & Quantum Physics University of Science and Technology of China Hefei China Hefei National Laboratory University of Science and Technology of China Hefei China Photonics Initiative Advanced Science Research Center City University of New York New York United States Physics Program Graduate Center City University of New York New York United States The Key Laboratory of Weak-Light Nonlinear Photonics Ministry of Education School of Physics TEDA Applied Physics Institute Nankai University Tianjin China School of Chemistry and Materials Science Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou China

Polarization entanglement holds significant importance for photonic quantum technologies. Recently emerging subwavelength nonlinear quantum light sources, e.g., GaP and LiNbO3 thin films, benefiting from the relaxed phase-matching constraints and volume confinement, has shown intriguing properties, such as high-dimensional hyperentanglement and robust entanglement anti-degradation. Van der Waals (vdW) NbOCl2 crystal, renowned for its superior optical nonlinearities, has emerged as one of ideal candidates for ultrathin quantum light sources [Nature 613, 53 (2023)]. However, polarization-entanglement is inaccessible in NbOCl2 crystal due to its unfavorable nonlinear susceptibility tensor. Here, by leveraging the twist-stacking degree of freedom inherently in vdW systems, we showcase the preparation of tunable polarization entanglement and quantum Bell states. Our work not only provides a new and tunable polarization-entangled vdW photon-pair source, but also introduces a new knob in engineering the entanglement state of quantum light at the nanoscale. © 2024, CC BY-NC-ND.

关键词： Van der Waals forces

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3D imaging lipidometry in single cell by in-flow holographic tomography

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Opto-Electronic Advances 2023年第1期6卷 10-25页

作者： Daniele Pirone Daniele Sirico Lisa Miccio Vittorio Bianco Martina Mugnano Danila del Giudice Gianandrea Pasquinelli Sabrina Valente Silvia Lemma Luisa Iommarini Ivana Kurelac Pasquale Memmolo Pietro Ferraro CNR-ISASI Institute of Applied Sciences and Intelligent Systems“E.Caianiello”Via Campi Flegrei 34PozzuoliNapoli 80078Italy Department of Electrical Engineering and Information Technologies University of Naples“FedericoⅡ”via Claudio 21Napoli 80125Italy Department of Chemical Materials and Production Engineering of the University of Naples FedericoⅡPiazzale Tecchio 80Napoli 80125Italy Department of Mathematics and Physics University of Campania“Luigi Vanvitelli”Caserta 81100Italy Biotechnology and Methods in Laboratory Medicine Department of ExperimentalDiagnostic and Specialty Medicine(DIMES)University of BolognaBologna 40126Italy Subcellular Nephro-Vascular Diagnostic Program Pathology Unit S.Orsola IRCCSUniversity of BolognaBologna 40126Italy Unit of Medical Genetics Department of Medical and Surgical Sciences(DIMEC)University of BolognaVia Massarenti 9Bologna 40138Italy Study and Research Center on Gynecological Neoplasias Department of Medical and Surgical Sciences(DIMEC)University of BolognaVia Massarenti 9Bologna 40138Italy Center for Applied Biomedical Research(CRBA) University of BolognaBologna 40138Italy Department of Pharmacy and Biotechnology(FABIT) University of BolognaBologna 40126Italy

The most recent discoveries in the biochemical field are highlighting the increasingly important role of lipid droplets(LDs)in several regulatory mechanisms in living *** are dynamic organelles and therefore their complete characterization in terms of number,size,spatial positioning and relative distribution in the cell volume can shed light on the roles played by *** now,fluorescence microscopy and transmission electron microscopy are assessed as the gold standard methods for identifying LDs due to their high sensitivity and ***,such methods generally only provide 2D assays and partial ***,both can be destructive and with low productivity,thus limiting analysis of large cell numbers in a *** we demonstrate for the first time the capability of 3D visualization and the full LD characterization in high-throughput with a tomographic phase-contrast flow-cytometer,by using ovarian cancer cells and monocyte cell lines as models.A strategy for retrieving significant parameters on spatial correlations and LD 3D positioning inside each cell volume is *** information gathered by this new method could allow more in depth understanding and lead to new discoveries on how LDs are correlated to cellular functions.

关键词： lipid droplets label-free phase-contrast imaging in-flow tomography 3D imaging

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Use of the Web API as a basis for obtaining the latest data on bitcoin prices at 30 exchange places

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IOP Conference Series: Materials Science and engineering 2021年第1期1125卷

作者： Rizky Parlika Arista Pratama Informatics Engineering Study Program Faculty of Computer Science National Development University 'Veteran' East Java Information Systems Study Program Faculty of Computer Science Raya Rungkut Madya Road Gunung Anyar Surabaya

Bitcoin has become a commodity traded by millions of traders from all over the world. This is one of the causes of fluctuating price movements. From the data we got on coinmarketcap, Bitcoin is traded on various cryptocurrency trading exchanges. And at every exchange that has a reputation, of course, has an API service to access historical data about the price movements of all the crypto commodities they have traded from the start. By using the PHP programming language and implementation of the CURL function for JSON readings, we can pull Bitcoin movement data in real time. In this paper, Bitcoin is specifically observed because it is the forerunner and the main cryptocurrency commodity traded and is a determinant of Alternative coin price movements in general. In this paper Bitcoin price monitoring is carried out at 30 reputable exchange places through API access provided by each exchange place. Furthermore, conclusions are drawn about the various variants of how to access the API from the 30 bitcoin exchange places. The program code that is displayed directly in this paper can then be used as an initial reference if you want to develop a Cryptocurrency price movement monitoring application for Bitcoin. At the end of the paper, an example of the application of Bitcoin price monitoring will be presented using a web-based application containing charts and supporting indicators as well as a telegram bot to display price depth charts.

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Developing and evaluating prediction models of architectural work performance by combining earned value methods and support vector machine

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AIP Conference Proceedings 2021年第1期2447卷

作者： Maulyda Nurannisa Apif Miptahul Hajji Aisyah Larasati Yuh Wen Chen 1Industrial Engineering Study Program State University of Malang Malang Indonesia 2Civil Engineering Study Program State University of Malang Malang Indonesia 3Department of Information Management Da-Yeh University Chang Hwa Taiwan

The concept of project management helps minimize the risk of loss for project managers. This study aims to develop a model for evaluating the performance of architectural work by combining the Earned Value Management (EVM) and Support Vector Machine (SVM) models. The Earned Value method has advantages in forecasting project scheduling and planning. In this research, forecasting is done with the help of machine learning to increase the accuracy of project completion time prediction. This research uses the architectural data study object of the Lecture Building Project (GKB UM). This study indicates that the performance of the architectural work of GKB UM has been delayed with a schedule variance (SVt) value of -13.53 weeks. In developing the prediction model using the Support Vector Machine algorithm, the most optimal parameter results are using the Radial Basis Function (RBF) kernel type, complexity (C) 150, and gamma (y) 0.01 with a Root Mean Square Error (RMSE) value of 0.565. Thus the prediction of project completion has a difference of 4 weeks. Project delays were caused by weather problems, Tower Crane (TC) damage, incompatibility of Homogeneous Tile (HT) work, and changes in Bill of Quantity (BOQ).

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