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15th International Congress on Advanced Applied informatics Winter, IIAI-AAI-Winter 2023

作者： Fauziya, Arifa Langi, Armein Z.R. School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9798350383829

The relationship between population and health services is a reciprocal relationship that influences one another so comprehensive health services to detect, diagnose, and treat 275 million people are needed to overcome the respiratory disease pandemic in Indonesia. In response to this, a cough detection application has been developed to help prevent the spread of infectious diseases by conducting a pre-screening system. Various pre-processing techniques, features/technologies, and classifiers have been studied to improve system performance. However, the system architecture has not been studied in more detail, especially so that the architecture built is nationally integrated, scalable and cost-effective. Based on these circumstances, this research will focus on developing a methodology using a design thinking approach to develop a nationally integrated pre-screening system architecture. The design thinking approach is implemented to ensure that the system developed is in accordance with the needs and expectations of relevant stakeholders to develop a pre-screening system that can be implemented nationally, especially in Indonesia. The result of this research is the development of a methodology for the architectural design of a nationally integrated pre-screening system using a design thinking approach. This outcome was achieved through the stages of the design thinking method. By using this method, the research output can focus on fulfilling the user requirements needed so that the cough detection screening system can be implemented nationally in Indonesia. The architecture will also be designed using the Product-Service-Knowledge-Value-Environment System (PSKVE-S) to increase system sustainability. © 2023 IEEE.

关键词： Diagnosis

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Towards Real-Time Graph Neural Network-Based 3D Object Detection for Autonomous Vehicles 19

Towards Real-Time Graph Neural Network-Based 3D Object Detec...

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19th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2023

作者： Ramadhan, Ibnu Cipta Trilaksono, Bambang Riyanto Hidayat, Egi Muhammad Idris Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781665476928

3D object detection is an essential task for applications such as autonomous vehicles. Its ability to percept the surrounding environment in 3D space makes it more practical to implement in a real-world application. Light Detection and Ranging (LiDAR)-based 3D object detection gains its popularity and many approaches have been proposed to achieve state-of-the-art performance. On the other hand, Graph Neural Network (GNN)-based approach for 3D object detection is still in early development as compared to other approaches. Point-GNN is one of the first architectures to implement GNN in the Lidar-based 3D object detection task. While Point-GNN achieved leading accuracy in the KITTI detection benchmark, it has low inference speed which makes it not sufficient to be implemented in real-time applications such as an autonomous vehicle. In this work, we propose a method to improve the inference speed of Point-GNN by observing the contribution of graph scale and graph radius in the graph construction part of Point-GNN. The proposed approach improves the inference speed up to 2.83 times faster than the original Point-GNN while maintaining the degradation in overall Average Precision (AP) not exceeding 3.5%. In addition, we also observed the contribution of different features in the GNN layer to improve the overall AP by adding distance and local neighbor state as new additional features in the GNN layer. The proposed model gains up to 0.22% improved performance in BEV AP and 0.35%in the 3DAP. © 2023 IEEE.

关键词： Optical radar

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Comparison of Support Vector Regression and Artificial Neural Network Algorithm in Predicting the Number of Prospective Student Registrans

Comparison of Support Vector Regression and Artificial Neura...

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2023 IEEE International Conference on Data and Software engineering, ICoDSE 2023

作者： Herimanto Dharma, Arie Satia Manurung, Hotmangasi Nababan, Agnes Bertua Del Institute of Technology Faculty of Informatics and Electrical Engineering Sitoluama Indonesia

ISBN: (纸本)9798350381382

The candidate of students have difficulty in determining which college to choose. This difficulty is due to the lack of information about the college to be addressed. One of the actions that can be taken to introduce the campus is bypromoting to high schools. To find out schools that need an in-depth introduction to the X campus, it is necessary to make a prediction system that can show the possibility of the number of registrants from these schools that are still small. In this study, a comparison between the SVR and ANN methods was carried out to determine the best model in predicting the number of prospective applicants from each school. In the process of model formation, the optimal hyperparameter is found in the model using gridsearch. To determine the best model, researchers used the smallest RMSE value obtained from both models. Based on the RMSE results obtained, the ANN model RMSE value is smaller with a value of 0.04929599755078 so this model is the best model. However, after calculating MAAPE, the ANN model has not been able to predict well. copy;2023 IEEE. © 2023 IEEE.

关键词： Neural networks

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The Impact of Data Augmentation on Prototypical Networks for Open-Set Face Identification 6

The Impact of Data Augmentation on Prototypical Networks for...

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6th International Conference on Information and Communications technology, ICOIACT 2023

作者： Djamaluddin, Muhammad Munir, Rinaldi Utama, Nugraha Priya Kistijantoro, Achmad Imam Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350315639

Extensive research has been conducted on face recognition for large training datasets, and it continues to be an active study area. The present study aimed to examine the issue of open-set face recognition using the ITB Frontal Profile Limited Dataset (IFPLD). This dataset comprises a single frontal and profile face image for each subject. The system is trained to determine, given a profile face of an individual, which frontal face pertains to the same individual. As a result of the constrained dataset accessible for training and testing purposes, the face identification problem is considered a few-shot-open-set problem. Prototypical networks are applicable for face recognition on the IFPLD because they are one of the meta-learning techniques used to address the few-shot learning problem. This study investigates the effect of adding data augmentation to training and testing Prototypical Network on the IFPLD dataset by proposing two distinct techniques for identifying a query profile face. Our investigation using the standard model for few-shot learning (FSL) shows that method 2 achieved higher accuracy, 86.2% for 5-ways-1-shot and 66.3% accuracy for 20-ways-1-shot scenarios. © 2023 IEEE.

关键词： Face recognition

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Design and Implementation of a Transmitter for Quantum Communication Based on Faint Pulse Laser 17

Design and Implementation of a Transmitter for Quantum Commu...

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17th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2023

作者： Arira, Muhammad Naufal Suryana, Joko Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350309164

The advent of quantum computers marks the beginning of the quantum 2.0 era. Unlike classical computers, quantum computers have faster and more efficient computational abilities, enabling them to break classical encryption such as the RSA (Rivest-Shamir-Adlemar) algorithm in a matter of minutes. To address this threat, a quantum communication system is required, which possesses quantum properties as well. The urgency of developing an independent and autonomous quantum communication system is crucial for a country. In this research, a transmitter for quantum communication based on faint pulse laser is developed. A weakened laser diode is used as the photon source. The laser diode weakening is achieved using a laser driver that generates short-duration pulse signals. By combining AND and XOR logic gates in such a way that when given a square wave input, the output of the logic gate system can produce short-duration pulses. The information in this communication system consists of randomly implemented keys, realized using the myRIO board and serving as a subsystem for random port selection. The designed laser driver produces pulse signals with a width of 128 nanoseconds and an amplitude of 1.5168 V. Additionally, the random port selection subsystem has been successfully designed using the myRIO board. Random numbers from '0' to '3' are generated uniformly. From 100 observation samples, an expected value of 1.445 and a variance of 0.911 are obtained. In the subsequent research, observations of single photon and the generated keys will be conducted. © 2023 IEEE.

关键词： Transmitters

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A Cross-Domain Ontology Semantic Representation Based on NCBI-BlueBERT Embedding

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Chinese Journal of Electronics 2022年第5期31卷 860-869页

作者： ZHAO Lingling WANG Junjie WANG Chunyu GUO Maozu Faculty of Computing Harbin Institute of Technology Department of Medical Informatics School of Biomedical Engineering and InformaticsNanjing Medical University Beijing Key Laboratory of Intelligent Processing for Building Big Data School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture

A common but critical task in biological ontologies data analysis is to compare the difference between ontologies. There have been numerous ontologybased semantic-similarity measures proposed in specific ontology domain, but it still remains a challenge for crossdomain ontologies comparison. An ontology contains the scientific natural language description for the corresponding biological aspect. Therefore, we develop a new method based on natural language processing(NLP) representation model bidirectional encoder representations from transformers(BERT) for cross-domain semantic representation of biological ontologies. This article uses the BERT model to represent the word-level of the ontologies as a set of vectors, facilitating the semantic analysis or comparing the biomedical entities named in an ontology or associated with ontology terms. We evaluated the ability of our method in two experiments: calculating similarities of pair-wise disease ontology and human phenotype ontology terms and predicting the pair-wise of proteins interaction. The experimental results demonstrated the comparative performance. This gives promise to the development of NLP methods in biological data analysis.

关键词： human phenotype ontology cross-domain semantic representation natural language description pair-wise disease ontology data analysis bidirectional encoder representations NLP protein interaction diseases proteins natural language processing ontologies (artificial intelligence) natural language processing representation neural nets bioinformatics semantic-similarity measures cross-domain ontology semantic representation semantic analysis NCBI-BlueBERT embedding biological ontology data analysis

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Vehicle Platooning Control with DDPG 8

Vehicle Platooning Control with DDPG

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8th International Conference on Instrumentation, Control, and Automation, ICA 2023

作者： Wonohito, Leon Bayuwindra, Anggera Trilaksono, Bambang Riyanto Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350301274

This paper presents a controller design of vehicle platooning using an end-to-end Deep Deterministic Policy Gradient (DDPG) combined with Extended Look Ahead approach. The purpose of the combination is to maintain the expected result from the end-to-end DDPG system since Reinforcement Learning might be able to create unexpected result that considered optimal by the model but not by the user. In this paper, we use the extended look ahead approach as a guide for the DDPG system to learn avoiding a cutting comer behavior where the following vehicle turn too early and able to bypass the leader. To check the validity of the DDPG model, we use the car model from Donkey Car RC Simulator. The result shows that the following car is able to follow the leading vehicle without the cutting comer behavior and within acceptable distance. © 2023 IEEE.

关键词： Reinforcement learning

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Optimization and Study of Grid Impact on Photovoltaic Installation - Connected 785 MVA Steam Turbine Power Plant for Industry 4

Optimization and Study of Grid Impact on Photovoltaic Instal...

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4th International Conference on High Voltage engineering and Power Systems, ICHVEPS 2023

作者： Nababan, Benny Wijaya Banjar-Nahor, Kevin Marojahan Hariyanto, Nanang Bandung Institut of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350318678

Increased solar integration as a variable renewable energy (VRE) brings many benefits and challenges, especially in typical industrial grids. This paper introduces a methodology to find the optimum installation and operational points for PV by considering several constraints such as generation limitation, spinning reserve, and steam demand to meet plant process operating requirements. In this paper, an analysis will be conducted to investigate the intermittent of renewable energy on the security and stability of the power system with several options for solar capacity. The modeling and simulation of S steam turbine generators and PV will be performed using PowerFactory Digsilent, a power system software that offers various solutions for power system analysis and simulation. Meanwhile the study of UCED is also carried out using solver to analyze actual power measurement data from power plants, based on the integration of variable renewables. The research findings indicate that the optimal installation of up to 50 MWp of solar panels can be achieved gradually, while considering constraints such as spinning reserve equivalent to the largest generator and the system's ability to handle high-power equipment starting, if required. © 2023 IEEE.

关键词： Steam

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Development of an Intelligent Carbon Emission Monitoring Methodology to Support Carbon Trading with A Design Thinking Approach: A Case Study in PT Paiton Energy 10

Development of an Intelligent Carbon Emission Monitoring Met...

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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Herawati, Neng Ayu Surendro, Kridanto Hikmawati, Erna School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9798350339543

The Ministry of Energy and Mineral Resources of Indonesia announced that carbon trading in the first phase would be implemented in 2023, starting with coal-fired power plants. PT Paiton Energy is one of the coal-fired power plants obliged to participate in the carbon trading mechanism according to government regulations. Currently, PT Paiton Energy utilizes Continuous Emission Monitoring Systems (CEMS) for carbon emission calculations. However, PT Paiton Energy has not yet adopted a decision support system for carbon trading in the implementing carbon trading scheme. Additionally, the power plant has not developed an emission monitoring system that can predict emissions for future periods and provide efforts for carbon emission optimization. Based on these circumstances, this research focuses on developing a methodology using the design thinking approach to develop a carbon emission prediction model, a carbon emission optimization model, and a decision-making system for carbon trading. The design thinking approach is employed to ensure that the developed system aligns with the needs and expectations of stakeholders and to generate innovative and effective solutions for optimizing carbon emissions. The result of this research is the development of a methodology capable of designing a carbon emission monitoring system for carbon emission optimization in support of carbon trading using a design thinking approach. This outcome was achieved through a process aligned with the design thinking method. By employing this method, the research output can focus on user needs through an empathetic approach, enabling immediate implementation by PT Paiton Energy in constructing a monitoring system capable of carbon emission prediction and optimization. © 2023 IEEE.

关键词： Coal fired power plant

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Performance Analysis of Mininet-based Testbed for Software Defined Network with P4 Programmable Data Plane 17

Performance Analysis of Mininet-based Testbed for Software D...

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17th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2023

作者： Hasnaa, Larastya Devindira Mulyana, Eueung Nurkahfi, Galih Nugraha Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350309164

Network technology has continued to evolve because of the expanding use of the internet in numerous fields. One approach for addressing the difficulties of maintaining larger networks is Software-Defined Networking (SDN), which separates the control plane and data plane. Typically, SDN utilizes OpenFlow as an API for communication between the control plane and data plane. However, OpenFlow has limitations, such as the restricted set of protocols that can be defined in the header as it also does not control the switch behavior of processing the packets. SDN with programmable data plane using P4 offers flexibility in defining protocols or how packets are processed in the data plane, addressing these limitations. This Mininet-based testbed development for P4 is addressed to analyze performance through parameters such as delay, jitter, throughput, packet loss, and CPU usage. Based on the experiment, the amount of processing packets must go through has an impact on the delay seen in the testing. The jitter resulted in relatively small values which indicated stable delays. The throughput achieved in all scenarios was still far below the allocated bandwidth. This can be attributed to the allocation of bandwidth exceeding the server's specification limits where Mininet is running, leading to high CPU usage and suboptimal packet delivery. Consequently, a significant packet loss rate is observed as well. © 2023 IEEE.

关键词： Testbeds

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