• 전기학회논문지P
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• 제59권1호
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• pp.71-76
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• 2010

This paper is focused on implementing a real-time data acquisition system that checks power facility status by applying network based technology to Urban Transit substation power facilities and the results of its on-field tests. This system is composed of a sensor part, a measurement part, a transceiver part, a host computer, and a power source part. The system is designed to collect, save, analyze, and display the online state power facility AI (Analog Input). This system measures voltage and current from positive feeders and negative feeders where it is possible to check abnormalities of the substation‘s main power facilities. By monitoring abnormal data of the Urban Transit power facilities real-time and analyzing stored data, establishing procedures of optimized maintenance is possible.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.160-162
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• 2007

The systems for assisted living and convenience of user real-time requirement in data communication among devices. therefore, it system was requirement to implementation of the hardware which guarantees the real-time to load the high-performance processor with suitable Operation System. This paper apply to operated intelligence robot in USN(Ubiquitous Sensor Network) environment, particularly, it is architecture research for guarantees the real-time of a sink-node that collect various sensor information from sensors and sending to main control unit.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권9호
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• pp.2213-2231
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• 2013

Compressed sensing is a novel technology used in the field of wireless communication and sensor networks for channel estimation, signal detection, data gathering, network monitoring, and other applications. It plays a significant role in highly secure, real-time, well organized, and cost-effective data communication in smart-grid (SG) systems, which consist of multi-tier network standards that make it challenging to synchronize in power management communication. In this paper, we present a multi-layer communication model for SG systems and propose compressed-sensing based data transmission at every layer of the SG system to improve data transmission performance. Our approach is to utilize the compressed-sensing procedure at every layer in a controlled manner. Simulation results demonstrate that the proposed monitoring devices need less transmission power than conventional systems. Additionally, secure, reliable, and real-time data transmission is possible with the compressed-sensing technique.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.133-134
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• 2007

The effective data processing mechanism in the sensor network means data stream model and real-time query processing model for real-time processing of stream data. This mechanism can improve satisfaction of users and reduce delay rate of data processing. In this paper, we explain the problem which is occurred when users need to search certain information among information of stream data and describe reduction model of delay rate according to data transmission.

• 한국공간정보시스템학회 논문지
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• 제10권4호
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• pp.97-102
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• 2008

무선 센서 네트워크는 공간상에 분포되어 거의 무제한적이고, 연속적으로 데이터를 발생시키며, 주로 샘플링이나 시놉시스 등을 이용하여 수집되는 데이터를 저장한다. 그러나 이러한 방법은 원시 데이터의 정확한 저장 및 장기간 수집된 이력 데이터로부터의 분석을 요구하는 응용환경에는 적합하지 않다. 따라서 이 논문에서는 센서로부터 수집된 데이터를 손실 없이 저장하는 동시에 시간에 따라 누적되는 센서 데이터의 이력을 효율적으로 관리할 수 있는 저장 기법을 제안한다. 제안된 방법에서는 센서의 측정값이 변경된 시점을 기준으로 동일한 값이 지속된 기간을 Time-segment와 Time- point로 저장한다. 이러한 방법은 센서의 모든 측정값을 정확하게 저장할 수 있고, 특정 시간에 걸쳐 중복되는 데이터들을 하나의 튜플에 저장하기 때문에 장기간 동안 수집된 데이터를 메모리에서 유지할 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1249-1252
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• 1996

With the expansion of research and development for the CIM and the IMS, the importance of introducing the communication network is being increased. This paper presents an implementation of robot workcell by using Fieldbus and investigates data operation of the robot workcell. Through experiments, the operations of periodic and real-time data, and non-periodic real-time data are studied. Also, the relationship between the network transmission rate and the monitoring results from the sensor is analyzed.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.112-117
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• 1992

The Real-time Distributed Control Systems(RDCS) consist of several distributed control processes which share a network medium to exchange their data. Performance of feedback control loops in the RDCS is subject to the network-induced delays from sensor to controller and from controller to actuator. The network-induced delays are directly dependent upon the data sampling times of the control components which share a network medium. In this study, a scheduling algorithm of determining data sampling times is developed using the window concept, where the sampling data from the control components dynamically share a limited number of windows.

• 웰빙융합연구
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• 제6권2호
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• pp.27-31
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• 2023

Purpose: Establishment of a real-time monitoring system for odor control in traditional markets in Gangwon-do and a system for linking prevention facilities. Research design, data and methodology: Build server and system logic based on data through real-time monitoring device (sensor-based). A temporary data generation program for deep learning is developed to develop a model for odor data. Results: A REST API was developed for using the model prediction service, and a test was performed to find an algorithm with high prediction probability and parameter values optimized for learning. In the deep learning algorithm for AI modeling development, Pandas was used for data analysis and processing, and TensorFlow V2 (keras) was used as the deep learning library. The activation function was swish, the performance of the model was optimized for Adam, the performance was measured with MSE, the model method was Functional API, and the model storage format was Sequential API (LSTM)/HDF5. Conclusions: The developed system has the potential to effectively monitor and manage odors in traditional markets. By utilizing real-time data, the system can provide timely alerts and facilitate preventive measures to control and mitigate odors. The AI modeling component enhances the system's predictive capabilities, allowing for proactive odor management.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.436-438
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• 2007

As the sensors and communication technology get advance, the remote health diagnosis for patients and senior persons at home are possible now without visiting doctors in hospitals. A low-power ubiquitous health check device was developed adapting Real-Time Embedded Linux is developed. This ubiquitous device is consisted of three sensors. The wrist type health checking terminal acquires periodically the health data by using a blood pressure sensor, a pulse sensor and a body temperature sensor. It transmits the health data to the access point located at the home center through the ZigBee wireless communication modem. This health data collector or access point device sends the data again to the main server operated in a hospital or health care organization. The health server control continuously the input data and sends an alarm signal to the assigned. doctor and responsible persons using cellular SMS when any dangerous events occur. This wrist type health check device has an embedded linux OS using Intel PAX255 MPU. The developed U-Health system is applicable for checking patients health in remote at home. And their family or related persons in remote site can check the patients health status at any time. They can be assured by receiving SMS record and alarm of emergency case which is transmitted from the health server.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.238-241
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• 2019

본 논문에서는 차량에서 측정되는 모든 센서 데이터를 클라우드에 저장하고, 저장된 데이터를 분류 모델을 이용해 분석한 다음, 분석이 완료된 데이터를 실시간으로 운전자의 디스플레이에 제공하는 "클라우드와 데이터 마이닝을 이용한 차량 분석 시스템"을 설계한다. 제안하는 정보 분석을 위한 클라우드 서버는 차량에서 측정하는 센서 데이터를 클라우드 서버의 테이블에 저장하고 전달받은 데이터를 분석 모듈로 전달하는 센서 데이터 통신 모듈과 분류를 위해 전달받은 데이터를 학습 알고리즘을 이용해 분류한 분류 모델을 이용서 목적에 맞게 분석, 분류하고 운전자에게 실시간으로 정보를 제공하는 센서 데이터 분류 모듈로 구성된다. 제안된 정보 분석을 위한 클라우드 서버는 차량에서 수집되는 수많은 센서 데이터를 클라우드 서버에 저장하기 때문에 차량에 데이터가 과부하 되지 않고 데이터 분류를 위한 연산을 차량이 아닌 클라우드 서버에서 진행하기 때문에 데이터를 빠르고 효율적으로 관리할 수 있다. 또한, 운전자가 원하는 정보들을 디스플레이에 시각화하여 사람들의 자율주행차량에 대한 안정성을 증가시킬 수 있다.