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Talk to Me: Artificial Intelligence 'Virtual Friend' for Depression Sufferers Using Term Frequency-Inverse Document Frequency (TF-IDF) and Finite State Machine Method 9

Talk to Me: Artificial Intelligence 'Virtual Friend' for Dep...

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9th International Conference on ICT for Smart Society, ICISS 2022

作者： Fakhrurroja, Hanif Utari, Tanrida Victor, Andy Mahendra, Oka Telkom University National Research and Innovation Agency Faculty of Industrial Engineering West Java Bandung Indonesia School of Management Informatics & Computer LPKIA West Java Bandung Indonesia Research Organization for Electronics & Informatics National Research and Innovation Agency West Java Bandung Indonesia

ISBN: (数字)9781665471350

ISBN: (纸本)9781665471350

Depression refers to mental health in which a person experiences a bad mood and has a decreased quality of life. In Indonesia, there are quite a lot of challenges in dealing with depression problems such as lack of education on how to treat depression, lack of mental health personnel, and the emergence of a bad stigma against depression sufferers. Voice-based artificial intelligence technology for people with depression was developed to play a role in filling the gap by acting as a support system. In this research, the Natural Language Processing (NLP) method is used to enable computer to be able to understand the user's input. TF-IDF (The Term Frequency-Inverse Document Frequency) method is also used to weight documents and the Finite State Machine (FSM) method used to classify the results of document weighting against a predetermined dialogue scenario. To be able to interact with the system, the author uses the Google Cloud Speech API technology to convert speech and text. As for testing of this system, it is done by calculating the level of accuracy of the answers given by the system to users. The level of accuracy of the system answers obtained from the test results is 96.5%. The accuracy value indicates that the answer given by the system is in accordance with what the user's input. © 2022 IEEE.

关键词： Inverse problems

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Efficient online shopping platforms in Southeast Asia 2

Efficient online shopping platforms in Southeast Asia

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2nd International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2021

作者： Bamansoor, Samer Pande, Bishwajeet Al Moaiad, Yazeed Pathmanathan, P. Ravindran El-Ebiary, Yousef A. Baker Latiff, Nurul Adilah Abdul Aseh, Khairi Aledinat, Lowai Saleh Yusoff, Fakhrul Hazman MEDIU Faculty of Computer and Information Technology Malaysia Faculty of Informatics and Computing UniSZA Malaysia Gyancity Research Consultancy Pvt Ltd Motihari India MEDIU Faculty of Computer and Information Technology Malaysia International Institute of Applied Science Swiss School of Management Netherlands UniSZA Faculty of Informatics and Computing Malaysia Universiti Malaysia Terengganu Faculty of Ocean Engineering Technology and Informatics Malaysia UniSZA Faculty of Informatics and Computing Malaysia Universiti Teknologi MARA Malaysia

ISBN: (纸本)9781665432221

With the emergence of current developments and their devices that allow correspondence between organizations with each other, just as it is between organizations and service providers, just as with their customers, for some reasons, including advertising and a return to what is acceptable to them with the organization. Items, deals, etc., therefore, this examination provides an internal and external investigation of the current web-based business phase with a focus on promising conditions, risks, qualities, and shortcomings of FashionValet's electronic stage, whose administrations offer more than the Internet. Also, FashionValet is a stage organizer for online shopping and style in Southeast Asia other than Poplook, Zalora, and others, and the bulk of them are important competitors to FashionValet and they implement their own systems. The FashionValet experience, for example, is the history of the creator just as the other company's foundation has been pointed out to characterize how organizations, especially FashionValet, have moved from their primary stage to where they are today as the most aggressive design project. In addition, the technologies and innovations used by FashionValet are shown to provide a comprehensive detailed blueprint. To understand the improvement in style organizations in Malaysia, it was examined further. The paper outlines the critical elements to FashionValet's thriving as an end. © 2021 IEEE.

关键词： Online systems

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A Machine-Learning-Based Sentiment Classification Approach for Gojek Application

A Machine-Learning-Based Sentiment Classification Approach f...

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International Conference of computer and informatics engineering (IC2IE)

作者： I Putu Edy Suardiyana Putra Indra Hermawan I Komang Arya Adi Kusuma I Gede Deindra Dwija Puridiasta Dewa Gede Bhaskara Pramudya Clerencia Isabell Kowaas Digital Business Department Institut Pariwisata dan Bisnis Internasional Denpasar Indonesia Informatics and Computer Engineering Department Politeknik Negeri Jakarta Depok Indonesia Computer Science Department Faculty of Engineering and Vocational Ganesha University of Education Singaraja Indonesia

ISBN: (数字)9798331505530

ISBN: (纸本)9798331505547

This study proposes a machine-learning-based sentiment classification approach for Bahasa Indonesia, where Gojek App’s reviews are used for a case study. The sentiment classification is important since users often give 5-star ratings but leave negative reviews. A total of 19,772 reviews from The Google Play Store are used in this study. We use five machine learning algorithms to train the model, such as Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Naive Bayes (NB), and Stochastic Gradient Descent (SGD). The best results of our approach are 66.6% precision, 88.2% recall, and 69.2% F-score, where an SVM-based classifier is used. These results show a promising future for using machine-learning algorithms for sentiment classification.

关键词： Support vector machines Machine learning algorithms Reviews Stochastic processes Internet Classification algorithms Bayes methods informatics Random forests Classification tree analysis

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Digital Twin Definition for Detecting Abnormal Perspiration Patterns in High-Stress Professions 23

Digital Twin Definition for Detecting Abnormal Perspiration ...

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23rd RoEduNet Conference: Networking in Education and Research, RoEduNet 2024

作者： Vizitiu, Cristian Turcin, Ioan Dominey, Kevin Alexander Softic, Selver Dinculescu, Adrian-Catalin Bocanet, Vlad I. Dugan, Cosmin Moraru, Sorin-Aurel The Space Applications and Technologies Laboratory Institute of Space Science-Subsidiary of INFLPR Magurele Romania Transilvania University of Brasov Faculty of Electrical Engineering and Computer Science Department of Automatics and Information Technology Brasov Romania CAMPUS 02 University of Applied Sciences Department Automation Technology Graz Austria CAMPUS 02 University of Applied Sciences Department IT and Business Informatics Graz Austria Robotics and Production Management Technical University of Cluj-Napoca Cluj-Napoca Faculty of Industrial Engineering Department of Manufacturing Engineering Romania Bucharest University Emergency Hospital Bucharest Romania

ISBN: (纸本)9798331540388

Perspiration is a physiological response in high-stress situations, that also plays a key role in thermoregulation and stress management. Understanding perspiration patterns is used for assessing physiological responses and optimizing human performance especially in professions such as emergency medical services and military operations, as well as for individuals exposed to Isolated Confined Extreme (ICE) environments such as astronauts and space analog mission participants. This paper defines a Digital Twin (DT) model, that will be integrated with an existing physical sweat simulator module (SSM) prototype. Its goal is to simulate human perspiration under high-stress conditions by integrating environmental, physiological, and psychological data. The system architecture is developed via Model-Based Systems engineering (MBSE). The scope of the designed virtual model is to accurately reflect physical perspiration, detect abnormal perspiration patterns, and generate recommendations regarding stress countermeasures. The goal is to influence the behavioral and/or physiological state of the physical twin, thereby creating a dynamic, responsive system. Machine learning (ML) models will be used to identify patterns in the environmental, physiological, and psychological inputs and predict sweat volume, chemical composition, and regional sweat distributions across the body. ML will also be used to detect abnormal perspiration patterns based on input data. The application of generative AI for creating test data from simulation templates is anticipated to facilitate the comparative analysis of two to three distinct profiles, such as astronauts, soldiers, and paramedics or firefighters, using simulated values. The SSM, with its integrated sensors, will serve the dual purpose of validating the model and providing realistic physical simulation. © 2024 IEEE.

关键词： Physiological models

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Cooperative, Connected and Autonomous Mobility: A Simulation Framework for Evaluating Coordination Mechanisms

Cooperative, Connected and Autonomous Mobility: A Simulation...

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International Conference on Intelligent Transportation

作者： Francisco Filipe Zafeiris Kokkinogenis Pedro M. D'Orey Rosaldo J. F. Rossetti Faculty of Engineering University of Porto Porto Portugal Department of Informatics Engineering Laboratory of Artificial Intelligence and Computer Science (LIACC) Faculty of Engineering University of Porto Porto Portugal CISTER ISEP Polytechnic Institute of Porto Portugal Department of Computer Sciences Faculty of Sciences University of Porto Porto Portugal

Autonomous driving and vehicular networking have gained traction during the last decade. Simulation is one of the major tools for assessing coordination mechanisms (e.g. intersection control), especially when considering autonomous vehicles. This study proposes a simulation framework for researching MAS-based coordination mechanisms. The framework includes three main components for accurately replicating the scenario, namely a traffic simulator for modeling vehicle dynamics and interactions, a network simulator modeling vehicular networks and a BDI-based agent simulator for modeling cognitive decision-making abilities. We perform a preliminary analysis of the framework to assess its capability to cope with average complexity coordination mechanisms in connected and autonomous vehicle settings.

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Modeling Data Set of Indonesian Heart Sound Signals

Modeling Data Set of Indonesian Heart Sound Signals

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International Conference of computer and informatics engineering (IC2IE)

作者： Prihatin Oktivasari Sinantya F Agitha Nasywa A Firmansyah Hk Evan Setiawan Nana Sutarna Syadia Nabilah Mohd Safuan Safaa Najah Saud Al Humairi Dept. of Informatics and Computer Engineering Politeknik Negeri Jakarta Depok Indonesia Dept. of Electrical Engineering Politeknik Negeri Jakarta Depok Indonesia Faculty of Information Sciences and Engineering MSU University Selangor Malaysia

ISBN: (数字)9798331505530

ISBN: (纸本)9798331505547

Vital signs, such as heart and respiratory rates, are the main parameters when assessing a person's physical condition. Advanced technologies for monitoring vital signs include electrocardiography (ECG), photoplethysmograph (PPG), or phonocardiography (PCG). While ECG utilizes electrical stimulation that triggers each heartbeat, PPG measures changes in absorbance caused by blood flow, and PCG measures acoustic waves resulting from the mechanical activity of the heart. In recent decades, analysis of heart sound signals, especially for automatic heart sound segmentation and classification, has been widely studied and reported to have potential value for accurately and clinically detecting pathology. However, comparative analysis of algorithms in the literature has been hindered by the lack of high-quality, rigorously validated, and standardized heart sound databases of recordings. In this research, a heart sound database will be created by the public, especially Indonesians, to represent the condition of Asian society, which in the future can be used as a research reference for other researchers as an open data set. It includes healthy subjects and patients with a variety of conditions, including heart valve disease and coronary artery disease. Records are collected from a variety of clinical or nonclinical environments and equipment. Recording length varies from a few seconds to several seconds-minutes. This study will report detailed information about subjects/patients including demographics (number, age, and gender), recordings (number, location, state, and length of time), associated synchronously recorded signals, sampling frequency, and type of sensor used. This research aims to measure acoustic waves resulting from the mechanical activity of the heart and the results of heart sound recordings in various patient conditions, along with their pathologies, will be grouped in an open database based on normal and abnormal. In this study, a deep-ranging S1 pattern was

关键词： Heart Pathology Databases Electric variables measurement Electrocardiography Mechanical variables measurement Acoustic measurements Recording Frequency measurement Phonocardiography

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A Physically Unclonable Function Using Time-to-Digital Converter with Linearity Self-Calibration and its FPGA Implementation

A Physically Unclonable Function Using Time-to-Digital Conve...

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International Test Conference in Asia (ITC-Asia)

作者： Kentaroh Katoh Shuhei Yamamoto Zheming Zhao Yujie Zhao Shogo Katayama Anna Kuwana Takayuki Nakatani Kazumi Hatayama Haruo Kobayashi Keno Sato Takashi Ishida Toshiyuki Okamoto Tamotsu Ichikawa Dept. of Electronics Engineering and Computer Science Faculty of Engineering Fukuoka University Fukuoka Japan Faculty of Science of technology Division of Electronics and Informatics Gunma University ROHM Semiconductor Yokohama Japan

This paper presents a physically unclonable function (PUF) using flash time-to-digital converter (TDC) with linearity self-calibration. The proposed PUF utilizes that the variation of delay of delay elements of TDC is unique to the device and unclonable. The proposed PUF is constructed using the flash TDC with linearity self-calibration using histogram method. With the linearity self-calibration operation, variation of delay elements is estimated. The response output of the PUF is calculated using the estimated variation and the challenge inputs. The proposed PUF is a simple digital circuit consisting of basic digital elements. It is easy to design and implement to both SoC and FPGA. It can be used as not only strong PUF but also as a TDC with fine linearity. The experimental results with Artix7 FPGA show that the intra-chip variation is 8.9 % and the inter-chip variation is 46.9 %. The probability of the correct identification is 99.8 %. Extra resources to construct the proposed PUF are 33.7 % of the resources of the TDC with linearity self-calibration.

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Manufacturing A Low-Cost Telegram and Optical Character Recognition-Based Indoor Air Quality Monitoring Data Logger 8

Manufacturing A Low-Cost Telegram and Optical Character Reco...

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8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Pramono, Andi Budiman, Satrio Arif Farchan, Muchammad Mappaturi, Andi Baso School of Design Bina Nusantara University Interior Design Department Jakarta11480 Indonesia Brawijaya University Information System Computer Science Faculty Malang65145 Indonesia Institut Teknologi Sepuluh Nopember Faculty of Intelligent Electrical and Informatics Technology Department of Electrical Engineering Surabaya60111 Indonesia Islamic State University of Maulana Malik Ibrahim Faculty of Science and Technology Architecture Department Malang Indonesia

ISBN: (纸本)9798350326093

Urban air is frequently contaminated with CO, CO2, VOC, HCHO, PM 2.5, and PM 10. Rural regions are at a lower risk than those near roads and industrial areas that produce emissions. Air pollutants negatively affect its inhabitants' health, particularly the respiratory system. Most people will spend more time indoors, requiring a method for monitoring indoor air quality (IAQ). Urban communities need IAQ monitoring instruments as an early warning system for their health. This research seeks to produce inexpensive IAQ that can be utilized by all levels of society, particularly urban communities. This research utilizes a qualitative, design-thinking-based methodology. The research diverged from Empatize, which asserts that urban communities require a method for determining the local air quality. Moreover, it is determined at the define stage that IAQ monitoring, which includes a data log feature, is still comparatively expensive, so a solution is developed at the ideate stage. Creating a prototype is the next step in realizing the specified solution. In this investigation, they decided to use IAQ monitoring, which is relatively inexpensive but lacks log data storage. The author uses the ESP32-cam microcontroller to capture the screen display device, and the resulting image is sent to a telegram and processed with optical character recognition (OCR) to generate a data log. The results of prototype testing are utilized for prototype development. © 2023 IEEE.

关键词： Industrial emissions

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A Position Control System for a Single-port Laparoscopic Manipulating Robot

A Position Control System for a Single-port Laparoscopic Man...

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2022 International Electrical engineering Congress, iEECON 2022

作者： Sonsilphong, Amornthep Sonsilphong, Suphachoke Soemphol, Chaiyong Hormdee, Daranee Khampitak, Kovit Rajamangala University of Technology Isan Department of Electrical Engineering Khon Kean Thailand Khon Kaen University Data Science Health Informatics Program Faculty of Medicine Khon Kaen Thailand Mahasarakham University Faculty of Engineering Department of Electrical Engineering Mahasarakham Thailand Khon Kaen University Embedded System RD Group Computer Engineering Faculty of Engineering Khon Kaen Thailand Khon Kean University Faculty of Medicine Department of Obstetrics and Gynecology Khon Kean Thailand

ISBN: (纸本)9781665402064

The research herein proposes a position control system, designed for a single-port surgical robot, based on the lockup table method. The programmable logic controller (PLC) was implemented to move the single- port surgical robot and handle laparoscope and surgical instruments with feedback control. The output responses of the desired angle were investigated under several conditions. The rotating angle allows movement of the laparoscope in the range of -10o to +10o. The error of the desired position of the designed system was less than approximately ± 0.1o. Moreover, the output data from several experiments may be employed to improve the open-loop control systems. This system is also capable of providing computer vision task implementation, enabling semi- automatic or automatic surgery in the future. © 2022 IEEE.

关键词： Laparoscopy

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Design And Implementation Of A PID Control System On A UAV Tracker Antenna

Design And Implementation Of A PID Control System On A UAV T...

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International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)

作者： Akhmad Jayadi Faisal Dharma Adhinata Jaka Persada Sembiring Canggih Gelar Setyo Adhi Wendel Herman Selsily Ahmad Amiruddin Faculty of Engineering and Computer Science Universitas Teknokrat Indonesian Lampung Indonesia Faculty of Informatics Institut Teknologi Telkom Purwokerto Jawa Tengah Indonesia Faculty of Computer Science Universitas Bina Nusantara Semarang Indonesia Faculty of Computer Science Universitas Kristen Indonesia Maluku Maluku Indonesia

Antennas are essential components in communication systems, serving as both transmitters and receivers. Their efficient operation depends on precise alignment with the strongest signal source, facilitated by tracker antennas. A recent research study focused on enhancing the responsiveness of these tracker antennas. By manually inputting PID (Proportional-Integral-Derivative) values for direction control, the study achieved notable *** results demonstrated that by fine-tuning PID values, particularly setting Kp=5, Ki=0.21812, and Kd=12, and targeting an angle of 90°, the response time was reduced to 1.2 seconds with an overshoot of 28.8% and 1.6 seconds of oscillation. This optimized control mechanism significantly improved antenna direction accuracy, aligning it with the desired setpoint. Furthermore, the importance of antenna alignment and polarization matching in communication systems was emphasized. Ensuring alignment between the receiving antenna's polarization and the incoming wave polarization is crucial for maintaining a strong signal reception power level. This alignment enables accurate tracking of antenna positions, supporting real-time GPS data communication. Additionally, the study involving horizontal azimuth angle measurements with tracker antennas demonstrated their capability to transmit real-time data from multiple positions, achieving 360° horizontal azimuth angles, along with varying elevations. These precise measurements play a vital role in object monitoring and effective communication.

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