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3rd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2022

作者： Canacuan, Darwin Carrión, Diego Montalvo, Iván Master’s Program in Electricity Universidad Politécnica Salesiana Quito170525 Ecuador Electrical Engineering Program Universidad Politécnica Salesiana Quito170525 Ecuador

ISBN: (纸本)9783031322129

The growing manifestation of non-conventional renewable energies, in modern electrical power systems, creates a great challenge on the normal operation of the system and planning the dispatch of active power, in economic terms. In order to achieve the objective of economic dispatch and be competitive in the electricity market, the concept of virtual power plant (VPP) has been introduced. It considers electrical elements and equipment with the aim of working as a single set that generates economic and operational benefits to the electrical system, taking into account the features and restrictions for an energy dispatch scenari0. This paper proposes a case of study that considers the use of a virtual power plant in order to analyze the effects caused along the network. The optimal dynamic flow of AC power (ODFAC) uses a non-linear programming algorithm and how it is affected not only for the restrictions of the electrical elements and equipment but also for the restrictions of the topology and formation of the electrical power system. The IEEE 9-bar system is used to illustrate the efficiency of the method, comparing the results of the system with and without the integration of a virtual power plant. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Virtual Power Plants

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Loss Balancing for Physics-Informed Neural Networks Considering Procedure for Solving Partial Differential Equations 13

Loss Balancing for Physics-Informed Neural Networks Consider...

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Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024

作者： Kojima, Manabu Otsuki, Kazuma Suzuki, Masato Abe, Masajiro Baba, Masaaki Yokota, Kazuya Master's Program in Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Nagaoka University of Technology Department of System Safety Engineering Nagaoka Japan Nagaoka University of Technology Department of Mechanical Engineering Nagaoka Japan

ISBN: (纸本)9798350373332

With the development of machine learning, numerical analysis using neural networks has been devised. Remarkably, physics-informed neural networks (PINNs) enable physically consistent numerical analysis by introducing a loss function that conforms to relevant governing equations. Moreover, research is rapidly advancing for the application of PINNs to inverse analysis in areas such as physical property identification. For a PINN to learn governing equations, the weights of the loss functions should be properly determined because they have different roles in components such as boundary conditions, initial conditions, and governing equations. However, weight setting is generally challenging. We propose a loss balancing method considering the procedure for solving partial differential equations. The proposed method is validated through comparisons with conventional solvers. © 2024 IEEE.

关键词： Partial differential equations

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Development of Detection Lung Disease Stand Alone System Based on Convolutional Neural Network (CNN) 7

Development of Detection Lung Disease Stand Alone System Bas...

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7th International Conference of Computer and Informatics engineering, IC2IE 2024

作者： Liewarnata, Edgar Caesar Mariana, Yosica Tan, Sofyan Liawatimena, Suryadiputra Astuti, Winda Bina Nusantara University Binus Aso School of Engineering Automotive and Robotics Program Computer Engineering Department Jakarta11480 Indonesia Bina Nusantara University Binus Aso School of Engineering Product Design Program Industrial Engineering Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program - Master of Computer Science Automotive and Robotics Program Computer Engineering Department Binus Aso School of Engineering Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798331505530

Lung disease, especially Tuberculosis (TBC), placed the highest death rate in Indonesia. Tuberculosis (TB) in Indonesia is ranked second after India. Therefore, it is important to reduce or early detection of the lung disease, to prevent this disease and speed up handling. The system can recognize the disease lung identification, and the system applied as standalone system. In this work, the Convolutional Neural Network (CNN) approach for identifying diseases lung identification is proposed. The Mel Frequency Cepstral Coefficient (MFCC) applied to process the stethoscope sounds which will used as input to the CNN. The performance of the proposed system has been investigated and resulted. The accuracy of 99% and 98%, for training and testing accuracy respectively. Furthermore, the system accurately detects lung diseases identification. © 2024 IEEE.

关键词： Lung cancer

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The Impact of Indonesian Managers' Digital Disruptive Skills on Organizational Resilience

The Impact of Indonesian Managers' Digital Disruptive Skills...

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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Alamsjah, F. Asrol, M. Sukarta, S.M. Bina Nusantara University Binus Graduate Program - Master of Industrial Engineering Industrial Engineering Department Jakarta11480 Indonesia Binus Creates Jakarta11480 Indonesia

ISBN: (纸本)9798350323153

This article strives to study the direct effects of managers' disruptive skills to survive in a digital revolution assessed indirectly by organizational agility. In addition, the interactions of digital orientation are also assessed. A conceptual framework was devised to investigate the aforementioned correlations. Five hypotheses were developed and tested with data from 100 respondents who were affected by digital transformation and with positions one level above the manager level or higher. SmartPLS is used for analysis and to generate 500 bootstrap samples. This study makes three distinct contributions to the existing literature on digital transformation. First, digital disruptive skills have a direct impact on both organizational agility and organizational resilience. Second, leadership abilities have a strong beneficial impact on organizational agility and resilience across all three digital disruptive talents examined in this study. Finally, digital orientation has little effect on organizational resilience when it comes to digital disruptive talents. © 2023 IEEE.

关键词： Digital Disruptive Skills Digital Orientation Digital Transformation Organizational Agility Organizational Resilience

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A ShuffleNet Architecture-Based Multi-Layer Feature Scaling and Fusion Approach for Underwater Net Cage Damage Detection in Aquaculture

A ShuffleNet Architecture-Based Multi-Layer Feature Scaling ...

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2024 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2024

作者： Huang, Xiang-Rui Chen, Yi-Cheng Chen, Liang-Bi Hu, Wu-Chih National Penghu University of Science and Technology Master Program in Electrical Engineering and Computer Science Department of Electrical Engineering Penghu Taiwan National Penghu University of Science and Technology Department of Computer Science and Information Engineering Penghu Taiwan

ISBN: (纸本)9798331530839

In offshore aquaculture operations, personnel equipped with diving gear are often necessary to inspect the underwater net cages for damage, particularly on the sea floor. This manual inspection process is time-consuming and complex. To overcome this problem, this paper proposes a computer vision solution for identifying damage in underwater net cages to address the inefficiencies and challenges of traditional manual inspections. The proposed scheme utilizes a high-performance multi-branch computational architecture designed based on ShuffleNet architecture to detect net cage damage more efficiently. Experimental results demonstrate that this work performs well on the ImageNet ILSVRC-2010 dataset and achieves an accuracy of 88.54% in underwater net damage detection. © 2024 IEEE.

关键词： Aquaculture

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Design of a Control System on the HVAC Damper to Regulate Temperature and Humidity in the Isolation Room 4th

Design of a Control System on the HVAC Damper to Regulate Te...

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4th International Conference on Experimental and Computational Mechanics in engineering, ICECME 2022

作者： Salamul Fajar Sabri, M. Rizal, Samsul Kurniawan, Rudi Putra, Rachmad Almi Suheri, Suheri Master of Mechanical Engineering Program Faculty of Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Mechanical and Industrial Engineering FacultyofEngineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Doktoral Program Faculty ofEngineering Universitas Syiah Kuala Banda Aceh23111 Indonesia

ISBN: (纸本)9789819974948

Most infectious diseases are caused by viruses that are spread from one person to another through the air. Isolation room is a room that keeps virus in infected people from spreading to other people by maintaining temperature and humidity. Therefore, a system is needed that regulates the isolation room to remain sterile, where this system must control and maintain the stability of air circulation in the room. For this purpose, this study proposes the design of an automated control system to regulate the temperature and humidity in an isolated room by controlling the supply air with damper. The method that is used in making this control system is experimental and analysis from sensor readings that will be used as a sign of decision-making for the damper output that will control the air flow to the isolation room with closed loop algorithm for the system control, the controller will send digital signal to the damper relay based on sensor reading, so that the data results of the experiment and analysis can see whether the control system can work well or not. The successful performance of the control system is seen from results of sensor readings;when the system changed the damper position it can maintain the isolation room situation around 22 °C to 24 °C for temperature and 50% until 60% for the humidity. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Viruses

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Comparative performance analysis between conventional and square cyclones for solid Particle-Gas Separation: A review

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Materials Today: Proceedings 2022年 63卷 S318-S325页

作者： Malahayati, Nur Darmadi, D. Alisa Putri, Cut Mairiza, Lia Rinaldi, Wahyu Yunardi, Y. Master Program at the Chemical Engineering Dept. Faculty of Engineering Universitas Syiah Kuala Banda Aceh 23111 Indonesia Department of Chemical Engineering Universitas Syiah Kuala Banda Aceh 23111 Indonesia

Conventional cylindrical-body cyclone separators have been in use in the industry for a long time due to their many benefits, including simple design and construction, low running costs, no moving parts, and significant particle collection efficiency. Many studies have been done on this cyclone type because of its utility in areas like mining and agriculture. A cyclone with a square body, rather than a cylindrical one, was introduced in the previous three decades. Square cyclones are not well-known in the industrial world yet. Still, they have several advantages over conventional cyclones, including faster construction, quicker integration with boilers, and improved thermal efficiency when used with fluidized bed circulation-type boilers. This research compares the performance of square and conventional cyclones in terms of collecting efficiency and pressure drop. Factors including solid loading ratio, gas entry velocity, gas viscosity, and cyclone shape affect pressure drop and separation efficiency. According to data from published papers, conventional cyclones outperform square cyclones in terms of collection efficiency. However, simulation studies have shown that the pressure drop in a square cyclone is less than that in a cylindrical cyclone. Given that square cyclones are more straightforward to fabricate than conventional cyclones, the findings of this paper open up a lot of room for more research into developing square cyclones that can equal the performance of conventional cyclones. © 2022

关键词： Pressure drop

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The Tamblang Dam break analysis using HEC-RAS 5.0.7 and PenRis hazard classification in Indonesia

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Arabian Journal of Geosciences 2023年第6期16卷 1-11页

作者： Yekti, Mawiti Infantri Adityananta, I Kade Edwin Baskara Pariartha, I Putu Gustave Suryantara Program Study Master of Civil Engineering Faculty of Engineering Udayana University Denpasar Indonesia

Tamblang Dam is one of the dams, north of Bali Island, with a capacity of 7.6 million m3, and the downstream areas are in the form of agricultural land, citizen settlements, schools, offices, and other public facilities for approximately 10 km2. Considering such a downstream and its large capacity, the Tamblang Dam would have a significant damage impact if it is a failure. Therefore, it is necessary to analyze the failure of the Tamblang Dam. The study aims to analyze the areas affected by floods due to the dam’s failures and to measure the damage risk. The failures were simulated using HEC-RAS 5.0.7 with four scenarios, such as overtopping, upper-piping, middle-piping, and bottom-piping. The simulation result showed that the Tamblang Dam’s failure with the overtopping scenario had the worst impact as it has the highest velocity and discharge compared to the other scenarios. The overtopping scenario inundated 355 ha areas along the river. Six villages would become the victims, namely, Bengkala, Bila, Menyali, Jagaraga, Bungkulan, and Kubutambahan. Tamblang Dam failures’ danger level was figured out in this research according to the PenRis Hazard Classification of Dams in Indonesia. For this case, it is found that 2527 residents are at immediate risk of flooding caused by the failures. Therefore, following the Danger Classification from the Public Work and Housing Guidelines of Indonesia, it can be stated that the Tamblang Dam is a 4-class dam with an extremely high danger status level.

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Improving Supplier Evaluation Model using Ensemble Method-Machine Learning for Food Industry 8

Improving Supplier Evaluation Model using Ensemble Method-Ma...

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8th International Conference on Computer Science and Computational Intelligence, ICCSCI 2023

作者： Asrol, Muhammad Wahyudi, Sofyan Suharjito Harito, Christian Utama, Ditdit N. Syafrudin, Muhammad Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Artificial Intelligence Sejong University Seoul05006 Korea Republic of

Supplier evaluation has a crucial role in maintaining efficiency in the food industry supply chain. Machine learning approaches can be employed to formulate models aimed at analyzing and evaluating supplier performance. Previous research has successfully designed decision tree and neural network models for assessing suppliers in the food industry with accuracies of 84.2% and 92.8% separately. Recognizing the opportunity to improve the model's performance, this study aims to advancing the machine learning models accuracy for analyzing and evaluating suppliers in the food industry. Two main models are proposed to enhance model accuracy: ensemble methods and support vector machine. This research has successfully designed a supplier evaluation model and demonstrated that the ensemble method - gradient boosting model outperforms other ensemble methods and support vector machine which is achieved a accuracy of 93.6% on a cross-validation dataset. The development of a dashboard is required to implement the supplier evaluation model using machine learning, facilitating decision-makers in evaluating and controlling supplier performance. © 2023 The Authors. Published by Elsevier B.V.

关键词： Ensemble Method Food Machine Learning Supply chain Supplier evaluation

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Road Traffic Safety Analysis at Unsignalized Intersection of Rural Road in Yogyakarta 8

Road Traffic Safety Analysis at Unsignalized Intersection of...

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8th International Conference on engineering and Applied Science, ICEAT 2024

作者： Mahmudah, N. Pratama, W.A. Aziz, F. Ihza, Z.M. Karim, M.A. Master Program of Civil Engineering Universitas Muhammadiyah Yogyakarta Bantul Indonesia

Based on accident data provided by the National Police of Yogyakarta, the Bantul - Srandakan road segment has been identified as the most accident-prone area in Bantul Regency. Therefore, this study aims to mapping blackspot areas, identifying traffic conflict patterns, and analysing the severity of traffic conflicts employing Traffic Conflict Technique (TCT). The stages of study involved secondary data collection, accident ranking analysis using the Accident Equivalent Number (AEN) method, field surveys to obtain primary data, and TCT analysis to assess potential risks and conflicts at key intersections. The results highlighted that blackspot areas are primarily located along the Bantul - Srandakan road segment, particularly at unsignalized intersections. The traffic conflict analysis revealed a high incidence of serious conflicts, with motorcycles being the most vulnerable road users. The severity of these conflicts is strongly influenced by Time to Collision (TTC), with shorter TTC values driven by higher vehicle speeds, contributing to more dangerous scenarios. It is most probably as the main cause of death occur on the road segment. © Published under licence by IOP Publishing Ltd.

关键词： Highway accidents

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