• Title/Summary/Keyword: Real time intelligence control system

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Development of Brain-machine Interface for MindPong using Internet of Things (마인드 퐁 제어를 위한 사물인터넷을 이용하는 뇌-기계 인터페이스 개발)

  • Hoon-Hee Kim
    • Journal of Internet of Things and Convergence
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    • v.9 no.6
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    • pp.17-22
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    • 2023
  • Brain-Machine Interfaces(BMI) are interfaces that control machines by decoding brainwaves, which are electrical signals generated from neural activities. Although BMIs can be applied in various fields, their widespread usage is hindered by the low portability of the hardware required for brainwave measurement and decoding. To address this issue, previous research proposed a brain-machine interface system based on the Internet of Things (IoT) using cloud computing. In this study, we developed and tested an application that uses brainwaves to control the Pong game, demonstrating the real-time usability of the system. The results showed that users of the proposed BMI achieved scores comparable to optimal control artificial intelligence in real-time Pong game matches. Thus, this research suggests that IoT-based brain-machine interfaces can be utilized in a variety of real-time applications in everyday life.

A development of Intelligent Parking Control System Using Sensor-based on Arduino

  • LIM, Myung-Jae;JUNG, Dong-Kun;KWON, Young-Man
    • Korean Journal of Artificial Intelligence
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    • v.9 no.2
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    • pp.29-34
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    • 2021
  • In this paper, for efficient parking control, in an Arduino environment, an intelligent parking control prototype was implemented to provide parking control and parking guidance information using HC-SR2O4 and RC522. The main elements of intelligent parking control are vehicle recognition sensors, parking control facilities, and integrated operating software. Whether the vehicle is parked on the parking surface may be confirmed through sensor or intelligent camera image analysis. Parking control equipment products include parking guidance and parking available display devices, vehicle number recognition cameras, and intelligent parking assistance systems. This paper applies and implements ultrasonic sensors and RFID concepts based on Arduino, recognizes registered vehicles, and displays empty spaces. When a vehicle enters a parking space to handle this function, the automatic parking management system distinguishes the registered vehicle from the external vehicle through the RC522 sensor. In addition, after checking whether the parking slot is empty, the HC-SR204 sensor is displayed through the LED so that the driver can visually check it. RFID is designed to check the parking status of the server in real time and provide the driver with optimal route service to the parking slot.

A Prediction Method of Temperature Distribution on the Wafer for Real-Time Control in a Rapid Thermal Process System (실시간 제어를 위한 고속 열처리 공정에서 웨어퍼 온도 분포 추정 기법)

  • Sim, Yeong-Tae;Yi, Seok-Joo;Kim, Hagbae
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.9
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    • pp.831-835
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    • 2000
  • The uniformity of themperature on a wafer is a wafer is one the most important parameters to conterol the RTF(Rapid Thermal Process) with proper input signals. It is impossible to achieve the uniformity of temperature without the exact estimation of temperature ar all points on the wafer. There fore, it is difficult to understand the internal dynamics as well as the structural complexities of the RTP, which is aprimary obstacle to measure the distributed temperatures on the wafer accurately. Furthermore, it is also hard to accomplish desirable estimation because only a few pyrometers are available in the general equipments. In the paper, a thermal model based on the chamber grometry of the AST SHS200 RTP system is developed to effectively control the thermal uniformity on the wafer. First of all, the estimation method of one-point measurement is developed, which is properly extended to the case of multi-point measurements. This thermal model is validated through simulation and experiments. The proposed work can be utilized to building a run-by -run or a real-time control of the RTP.

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Development of a Non-contact Input System Based on User's Gaze-Tracking and Analysis of Input Factors

  • Jiyoung LIM;Seonjae LEE;Junbeom KIM;Yunseo KIM;Hae-Duck Joshua JEONG
    • Korean Journal of Artificial Intelligence
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    • v.11 no.1
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    • pp.9-15
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    • 2023
  • As mobile devices such as smartphones, tablets, and kiosks become increasingly prevalent, there is growing interest in developing alternative input systems in addition to traditional tools such as keyboards and mouses. Many people use their own bodies as a pointer to enter simple information on a mobile device. However, methods using the body have limitations due to psychological factors that make the contact method unstable, especially during a pandemic, and the risk of shoulder surfing attacks. To overcome these limitations, we propose a simple information input system that utilizes gaze-tracking technology to input passwords and control web surfing using only non-contact gaze. Our proposed system is designed to recognize information input when the user stares at a specific location on the screen in real-time, using intelligent gaze-tracking technology. We present an analysis of the relationship between the gaze input box, gaze time, and average input time, and report experimental results on the effects of varying the size of the gaze input box and gaze time required to achieve 100% accuracy in inputting information. Through this paper, we demonstrate the effectiveness of our system in mitigating the challenges of contact-based input methods, and providing a non-contact alternative that is both secure and convenient.

Artificial Intelligence-based Security Control Construction and Countermeasures (인공지능기반 보안관제 구축 및 대응 방안)

  • Hong, Jun-Hyeok;Lee, Byoung Yup
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.531-540
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    • 2021
  • As cyber attacks and crimes increase exponentially and hacking attacks become more intelligent and advanced, hacking attack methods and routes are evolving unpredictably and in real time. In order to reinforce the enemy's responsiveness, this study aims to propose a method for developing an artificial intelligence-based security control platform by building a next-generation security system using artificial intelligence to respond by self-learning, monitoring abnormal signs and blocking attacks.The artificial intelligence-based security control platform should be developed as the basis for data collection, data analysis, next-generation security system operation, and security system management. Big data base and control system, data collection step through external threat information, data analysis step of pre-processing and formalizing the collected data to perform positive/false detection and abnormal behavior analysis through deep learning-based algorithm, and analyzed data Through the operation of a security system of prevention, control, response, analysis, and organic circulation structure, the next generation security system to increase the scope and speed of handling new threats and to reinforce the identification of normal and abnormal behaviors, and management of the security threat response system, Harmful IP management, detection policy management, security business legal system management. Through this, we are trying to find a way to comprehensively analyze vast amounts of data and to respond preemptively in a short time.

Elevator error detecting Using Intelligence Algorithm (지능형 알고리즘을 이용한 엘리베이터의 에러검출)

  • Kang, Doo-Young;Kim, Hyung-Gwon;Javid, Hossain;Ahn, Tae-Chon
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.2741-2743
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    • 2005
  • In this paper, Elevator is designed for real time security & management. Security & Management System is designed for wireless communication between an Elevator and an manager, between Elevation and an manager. Also, to have remote control capability, embedded system platform with TCP/IP techniques are applied to process control system with independent open structure for the precise data transmission and without constraint of operating system. Security and Management system is designed to solve problem of network port by Bluetooth module. Moved recording, unworked table, life of device and replacement time of device are made database, database is applied to Fuzzy Rule for pre-detection unworked Elevator. Security & Management system is designed safety and convenience for customers using Elevator as well as rapidly treatment with unworked Elevator.

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Neural Network and Cloud Computing for Predicting ECG Waves from PPG Readings

  • Kosasih, David Ishak;Lee, Byung-Gook;Lim, Hyotaek
    • Journal of Multimedia Information System
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    • v.9 no.1
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    • pp.11-20
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    • 2022
  • In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

The Intelligent Blockchain for the Protection of Smart Automobile Hacking

  • Kim, Seong-Kyu;Jang, Eun-Sill
    • Journal of Multimedia Information System
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    • v.9 no.1
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    • pp.33-42
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    • 2022
  • In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

An Intelligence Embedding Quadruped Pet Robot with Sensor Fusion (센서 퓨전을 통한 인공지능 4족 보행 애완용 로봇)

  • Lee Lae-Kyoung;Park Soo-Min;Kim Hyung-Chul;Kwon Yong-Kwan;Kang Suk-Hee;Choi Byoung-Wook
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.4
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    • pp.314-321
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    • 2005
  • In this paper an intelligence embedding quadruped pet robot is described. It has 15 degrees of freedom and consists of various sensors such as CMOS image, voice recognition and sound localization, inclinometer, thermistor, real-time clock, tactile touch, PIR and IR to allows owners to interact with pet robot according to human's intention as well as the original features of pet animals. The architecture is flexible and adopts various embedded processors for handling sensors to provide modular structure. The pet robot is also used for additional purpose such like security, gaming visual tracking, and research platform. It is possible to generate various actions and behaviors and to download voice or music files to maintain a close relation of users. With cost-effective sensor, the pet robot is able to find its recharge station and recharge itself when its battery runs low. To facilitate programming of the robot, we support several development environments. Therefore, the developed system is a low-cost programmable entertainment robot platform.

An intelligent eddy current signal evaluation system to automate the non-destructive testing of steam generator tubes in nuclear power plant

  • Kang, Soon-Ju;Ryu, Chan-Ho;Choi, In-Seon;Kim, Young-Ill;Kim, kill-Yoo;Hur, Young-Hwan;Choi, Seong-Soo;Choi, Baeng-Jae;Woo, Hee-Gon
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.74-78
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    • 1992
  • This paper describes an intelligent system to automatic evaluation of eddy current(EC) signal for Inspection of steam generator(SG) tubes in nuclear power plant. Some features of the intelligent system design in the proposed system are : (1) separation of representation scheme ,or event capturing knowledge in EC signal and for structural inspection knowledge in SG tubes inspection; (2) each representation scheme is implemented in different methods, one is syntactic pattern grammar and the other is rule based production. This intelligent system also includes an data base system and an user interface system to support integration of the hybrid knowledge processing methods. The intelligent system based on the proposed concept is useful in simplifying the knowledge elicitation process of the rule based production system, and in increasing the performance in real time signal inspection application.

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