• Title/Summary/Keyword: Information Signal Process

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Changes in EEG Activity Synchronized with EMG output of Biceps and Signal Control Possibility (이두근의 근전도 출력과 동기화된 뇌파의 활성도 변화와 신호의 제어 가능성)

  • Jeon, Bu-Il;Cho, Hyun-Chan
    • Journal of IKEEE
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    • v.22 no.4
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    • pp.1195-1201
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    • 2018
  • This paper interprets the relationship between the physical activity of the human and the signal of the brain to show the meaningful results in the process of sending and receiving information to the connected muscles. When a person works or thinks, a specific brain signal is generated from the brain and being trasmmited to the connected part. The EMG signal, which has muscle activity information, outputs the result of the muscle activation as an electrical signal, which outputs muscle activity information usually due to muscle contraction and relaxation. The purpose of this study is to analyze the relationship between the two signals, which are difficult to identify easily by visual data extraction and data acquisition by extracting such EMG and EMG in real time.

Monitoring of Machining State in Turning by Means of Information and Feed Motor Current (NC 정보와 이송축 모터 전류를 이용한 선삭 가공 상태 감시)

  • 안중환;김화영
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.1
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    • pp.156-161
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    • 1992
  • In this research a monitoring system for turning using NC information and the current of feed motor as a monitoring signal was developed. The overall system consists of modules such as learning process, NC data transmission, generation of forecast information, signal acquisition, monitoring and post process. In the learning process, the reference data and the cutting force equation necessary for monitoring are obtained from the accumulated monitoring results. In the generation of forecast information, the information of forecasted cutting forces is acquired from the cutting force equation and NC program and appended to each NC block as a monitor code. Reliability of monitoring is improved by using the monitor code in the real-time monitoring. Monitoring module is divided into two parts : the off-line monitoring where errors of NC program are checked and the on-line monitoring where the level of motor current is monitored during cutting operations. If the actual current level exceeds the limit value provided by the monitor code in the level monitoring, it is recognized as abnormal. In the event of abnormal status, the post processor sends the emergency stop signal to NC controller to stop the operation. Actual experiments have shown that the developed monitoring system works well.

Design of Image Signal Processor greatly reduced chip area by role sharing of hardware and software (하드웨어와 소프트웨어의 역할 분담을 통해 칩 면적을 크게 줄인 Image Signal Processor의 설계)

  • Park, Jung-Hwan;Park, Jong-Sik;Lee, Seong-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.8
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    • pp.1737-1744
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    • 2010
  • The Image sensor needs various image processing to improve image quality. ISP(Image Signal Processor) performs various image processing. Conventional vision cameras have own software ISP functions and perform in PC instead of using commercial ISP chips. However these methods have problems such as large computation for image processing. In this paper, we proposed ISP that significantly reduced chip area by efficient sharing of hardware and software. Large operation blocks are designed to hardware for high performances, and we used hardware simultaneously with software considering the size of the hardware. The implemented ISP can process VGA(640*4800) images and has 91450 gate sizes in 0.35um process.

Development of Analysis Model for R&D Environment Change in Search of the Weak Signal (Weak Signal 탐색을 위한 연구개발 환경변화 분석모델 개발)

  • Hong, Sung-Wha;Kim, You-Eil;Bae, Kuk-Jin;Park, Young-Wook;Park, Jong-Kyu
    • Journal of Korea Technology Innovation Society
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    • v.12 no.1
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    • pp.189-211
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    • 2009
  • The importance of searching the weak signal has been increasingly recognized to cope with rapidly changing circumstances as an environmental analysis technique. This study proposed the NEST process for the searching for the weak signal. The NEST (New & Emerging Signals of Trends) is a micro environmental analysis process based on both quantitative and qualitative method. For this, the weak signal Searching Board is developed and traditional methods as global monitoring, trend analysis, brainstorming and delphi method are implemented to NEST. The NEST process is consists of three stage modules; the global monitoring stage in search of seeds information related to the environmental change, the weak signal analysis stage using the weak signal Tracking Board, and the delphi valuation stage for objectifying the final result. The NEST provides the weak signal of the promising technology which can bring new paradigm and the Up-Coming Trends which can lead new trend in the future. These outputs can be used to select promising technology from firm level to national level. The NEST system can be effectively operated as well as in small group so that small and medium innovative firms can develop and execute their own NEST process individually.

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A Study on the Synchronous Signal Detection and Error Correction in Radio Data System (RDS 수신 시스템에서 동기식 신호복원과 에러정정에 관한 연구)

  • 김기근;류흥균
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.29A no.8
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    • pp.1-9
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    • 1992
  • Radio data system is a next-generation broadcasting system of digital information communication which multiplexes the digital data into the FM stereo signal in VHF/FM band and provides important and convenient service features. And radio data are composed of groups which are divided into 4 blocks with information word and check word. In this paper, radio data receiver is developed which recovers and process radio data to provide services. Then we confirm that 7dB SNR is required to be 10S0-5TBER of demodulation. Deconding process of shortened-cyclic-decoder has been simulated by computer. Also, the time-compression (by 16 times) method has been adopted for the RDS features post-processing. Via the error probability calculation, simulation and experimentation, the developed receiver system is proved to satisfy the system specification of EBU and implemented by general logic gates and analog circuits.

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Comparison of accumulate-combine and combine-accumulate methods in multivariate CUSUM charts for mean vector

  • Chang, Duk-Joon;Heo, Sunyeong
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.4
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    • pp.919-929
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    • 2013
  • We compared two basic methods, combine-accumulate method and accumulate-combine method, using the past quality information in multivariate quality control procedure for monitoring mean vector of multivariate normal process. When small or moderate shifts have occurred, accumulate-combine method yields smaller average run length (ARL) and average time to signal (ATS) than combine-accumulate method. On the other hand, we have found from our numerical results that combine-accumulate method has better performances in terms of switching behavior than accumulate-combine method. In industry, a quality engineer could select one of the two method under the comprehensive consideration about the required time to signal, switching behavior, and other physical factors in the production process.

Design and Fabrication of Teletext Bit Slicer IC (Teletext Bit Slicer 집적회로의 설계 및 제작)

  • 申明澈;張榮旭;金永生;高鎭秀;明贊奎;閔聖基
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.3
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    • pp.384-388
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    • 1986
  • This paper describes the design and fabrication of an integrated circuit that can detect the teletext signal included in a composite video signal. The circuit that is based on the comparatorlevel sampling method can detect a stable data signal even from an external circuit with large variation. It has been fabricated by the SST bipolar standard process. Its chip size is $2.5x3.78mm^2$.

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Development of Intelligent Monitoring System for Welding Process Faults Detection in Auto Body Assembly (자동차 차체 제조 공정에서 용접 공정 오류 검출을 위한 지능형 모니터링 시스템 개발)

  • Kim, Tae-Hyung;Yu, Ji-Young;Rhee, Se-Hun;Park, Young-Whan
    • Journal of Welding and Joining
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    • v.28 no.4
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    • pp.81-86
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    • 2010
  • In resistance spot welding, regardless of the optimal condition, bad weld quality was still produced due to complicated manufacturing processes such as electrode wear, misalignment between the electrode and workpiece, poor part fit-up, and etc.. Therefore, the goal of this study was to measure the process signal which contains weld quality information, and to develop the process fault monitoring system. Welding force signal obtained through variety experimental conditions was analyzed and divided into three categories: good, shunt, and poor fit-up group. And then a monitoring algorithm made up of an artificial neural network that could estimate the process fault of each different category based on pattern was developed.

Electronic Attendance System Using Smart Device and High Frequency Signal

  • Myoungbeom Chung
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.11
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    • pp.103-111
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    • 2023
  • Recently, many universities have used various electronic attendance systems such as NFC, QR code, Sound-QR, Bluetooth BLE authentication, and face recognition to process attendance. However, existing methods have various problems such as attendance errors due to deformation of authentication signals, mis-recognition attendance from outside the classroom, and difficulty to process seat absence during class. Therefore, this study proposes a high-frequency signal-based electronic attendance system to solve these problems and manage more accurate electronic attendance. As the high-frequency signal replaces the BLE signal, and the transmission range of the signal is limited to the classroom, and the signal value can be immediately changed if a change of the signal is needed. To verify the performance of the proposed system, we conducted a comparative experiment with the Bluetooth based electronic attendance system, and as a result, the proposed method showed high accuracy. Thus, the proposed method will be a useful service that can be immediately used in smart device-based electronic attendance system.

Learning Generative Models with the Up-Propagation Algorithm (생성모형의 학습을 위한 상향전파알고리듬)

  • ;H. Sebastian Seung
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.327-329
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    • 1998
  • Up-Propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden variables using top-down connections. The inversion process is iterative, utilizing a negative feedback loop that depends on an error signal propagated by bottom-up connections. The error signal is also used to learn the generative model from examples. the algorithm is benchmarked against principal component analysis in experiments on images of handwritten digits.

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