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Implementation of Water Depth Indicator using Contactless Smart Sensors (비접촉식 스마트센서 기반 수위측정 방법 구현)

  • Kim, Minhwan;Lee, Jinhee;Song, Giltae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.6
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    • pp.733-739
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    • 2019
  • Water level measurement is highly demanding in IoT monitoring areas such as smart factory, smart farm, and smart fish farm. However, existing water level indicators are limited to be used in industrial fields as commercial products due to the high cost of sensors and the complexity of algorithms used. In order to solve these problems, our paper proposed methods using an infrared distance sensor as well as a hall sensor for the water level measurement, both of which are contactless smart sensors. Data errors caused by the inaccuracy of existing sensors were decreased by applying new simple structures so that versatility is enhanced. The performance of our method was validated using experiments based on simulations. We expect that our new water depth indicator can be extended to a general-purpose water level monitoring system based on IoT technology.

Image Sensor Module for Detecting Space Illuminance in Indoor Environment (실내 환경의 공간조도 검출을 위한 이미지센서모듈)

  • Moon, Seong-Jae;Lim, Yeong-Seog
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.7
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    • pp.771-778
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    • 2019
  • The traditional illuminance intensity detection method using a single sensor has a problem that uniformity of illuminance detection is deteriorated depending on the measurement position due to the narrow FOV characteristic. In order to overcome this problem, a method of detecting an average illuminance value through a plurality of illuminance sensors is used, but the complexity and detection error are increased. In this paper, we propose a illuminance intensity detection method based on a single image sensor with wide FOV. The proposed method can solve the problems such as system complexity and error increase of existing illuminance sensor. The test results show that the difference of average value is 12% using a illuminance sensor, 10.7% using five illuminance sensors, and 6.2% using an image sensor compared with the reference value using the color difference illuminometer. It is confirmed that the proposed method can easily and accurately detect the space illuminance with improved uniformity.

High-quality data collection for machine learning using block chain (블록체인을 활용한 양질의 기계학습용 데이터 수집 방안 연구)

  • Kim, Youngrang;Woo, Junghoon;Lee, Jaehwan;Shin, Ji Sun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.1
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    • pp.13-19
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    • 2019
  • The accuracy of machine learning is greatly affected by amount of learning data and quality of data. Collecting existing Web-based learning data has danger that data unrelated to actual learning can be collected, and it is impossible to secure data transparency. In this paper, we propose a method for collecting data directly in parallel by blocks in a block - chain structure, and comparing the data collected by each block with data in other blocks to select only good data. In the proposed system, each block shares data with each other through a chain of blocks, utilizes the All-reduce structure of Parallel-SGD to select only good quality data through comparison with other block data to construct a learning data set. Also, in order to verify the performance of the proposed architecture, we verify that the original image is only good data among the modulated images using the existing benchmark data set.

Streak Estimation Method for Obtaining Orbital Information of Unknown Space Objects (미지 우주물체 궤도 정보 획득을 위한 스트릭 추정 방법 검토)

  • Hyun, Chul;Lee, Sangwook;Lee, Hojin;Lee, Jongmin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.11
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    • pp.1448-1454
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    • 2018
  • In an optical observing system, three pairs of observations at equal time intervals are required for the orbit determination method to obtain orbital information of an unknown space objects. In this paper, we propose a method of estimating a streak for acquiring three pairs of observations using one streak image information. Satellite trajectory simulation data were generated for nine cases using the STK program in order to verify the characteristics of the orbit of space object and estimation performance. Simulation was performed by applying three approaches that can estimate the next streak position after a few seconds from one streak image information, and the estimation performance was evaluated. Linear vector method and Kalman Filter method based on the linear assumption tend to increase the estimation error in the region where the nonlinearity is large. However estimation method using the polynomial curve fitting based on the least square method showed smaller and uniform error result than the previous methods.

A Study on the Systematization of the Technology Act for Platforming the Fourth Industrial Revolution

  • Moon, Hyeon-Cheol
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.163-169
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    • 2019
  • Korea has the potential to lead the era of the Fourth Industrial Revolution, which succeeded in the information and communication revolution, including the establishment of an e-government. The Go match between humans and computers has led to the realization that humans are starting to live in a new era that they have never experienced before. In 2018, the Federation of Science and Technology Organizations conducted a recognition survey on "what is the most urgent thing?" in the era of the Fourth Industrial Revolution. As a result, it has been shown that the readjustment of the laws of science and technology is most urgent, so it is necessary to analyze the laws of science and technology. According to the research, more than 400 laws are diagnosed, and laws that serve as basic laws cannot lead the Fourth Industrial Revolution. The Framework Act on Science and Technology provides an emphasis on the promotion and management of R&D projects. When analyzing the regulations on 'Development of Science and Technology Innovation System', 'Basic Plan of Science and Technology', and 'Comprehensive Plan for Promotion of Local Science and Technology', there is no suggestion of the Fourth Industrial Revolution. After all, a comprehensive analysis of the current Framework Act on Science and Technology indicates that it is in effect the R&D and Management Act. The "Regulations on the Establishment and Operation of the Fourth Industrial Revolution Committee" poses the problem of defining parliamentary legislation as administrative legislation. 'In addition, if we analyze the Smart City Act, the lack of logical links with the Framework Act on Science and Technology and the Regulations on the Establishment and Operation of the Fourth Industrial Revolution Committee is a major problem. In conclusion, in order to platform the Fourth Industrial Revolution, two improvements can be put forward. First, the Framework Act on Science and Technology shall be abolished to enact the National Research and Development Administration Act, and secondly, the Framework Act on the Fourth Industrial Revolution shall be enacted to absorb the contents of the Regulations on the Establishment and Operation of the Fourth Industrial Revolution Committee.

Deep learning based teacher candidate acceptance prediction using college credits and activities (딥 러닝 기반 대학 이수학점 및 활동에 의한 교원임용 후보자 경쟁 시험 합격여부 예측)

  • Kim, Geun-Ho;Kim, Eui-Jeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.8
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    • pp.917-922
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    • 2019
  • The recent increase in preference for teacher jobs has led to a rise in preference for education colleges. Not all students can enter teachers, but they must pass the test called the competitive examination for teacher appointment candidates after graduation. However, due to the declining population, the and employment T.O.s are decreasing every year and the competition rate is rising steeply. Therefore, in order to concentrate on the recruitment exam upon entering the university, the university is becoming a huge academy for the exam, not a place to study and learn. We found a connection between students' overall school life and their use of study groups as well as their grades and whether they passed the competition test for teachers using deep running. The academic activities did not significantly affect the acceptance process, and the accuracy of the prediction of the acceptance rate was generally 70% accurate.

Development of Embedded Board for Construction of Smart Factory (스마트 팩토리 구축을 위한 임베디드 보드 개발)

  • Lee, Yong-Min;Lee, Won-Bog;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.1092-1095
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    • 2019
  • In this paper, we propose the development of an embedded board for construction of smart factory. The proposed embedded board for construction of smart factory consists of main module, ADC module, I/O module. Main module is a main calculating device which includes communication pard that allows interface with external device with using industrial protocol and is ported operating system makes board operating into. ADC module takes part in transferring digital signal has converted from electrical signal to the main module from the external sensor which is installed on the field. I/O module is an input and output module which transfers to the main module about a status, alarm, command signal of field device and it has a function that blocks external noises from field device with isolation circuit into it. In order to evaluate the performance of the proposed embedded board for construction of smart factory, it has been tested by an authorized testing institute. As a result, quantity of interacting protocol was 5, speed of hardware clock synchronization was under 10us and operating time of battery without source power was over 8 hours. It produced the same result as the world's highest level.

A Study on establishing the Role of Intelligence Agency on Cybersecurity - Focusing on Revision or Enactment of Cybersecurity related Bill - (정보기관의 사이버안보 역할 정립에 관한 연구 -사이버안보관련 법안 제·개정안을 중심으로-)

  • Yoon, Oh Jun;Kim, So Jeong;Jeong, Jun Hyeon
    • Convergence Security Journal
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    • v.18 no.4
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    • pp.45-52
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    • 2018
  • As the era of the 4th Industrial Revolution has progressed and the information and communication technologies have developed dramatically, the cyber threats will gradually become more intelligent and sophisticated. Therefore, in order to take systematic and prompt action in case of an accident while preparing measures against the threat, the role of intelligence agency is important. However, Korea is having difficulty in responding to the threats due to the lack of support for the national cybersecurity bill or the amendment bill of the National Intelligence Service. In this paper, I examine the cybersecurity function of the intelligence agency, the recent debate trends, and implications for the role of intelligence agency in our current situation. And then I intend to suggest some measures such as concentration on information gathering and analysis, enhancement of cyber threat prediction and response capacity, and strengthening of legal basis as a way to establish the role of intelligence agency for reinforcement of cybersecurity performance system.

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Modified Weight Filter Algorithm using Pixel Matching in AWGN Environment (AWGN 환경에서 화소매칭을 이용한 변형된 가중치 필터 알고리즘)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.10
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    • pp.1310-1316
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    • 2021
  • Recently, with the development of artificial intelligence and IoT technology, the importance of video processing such as object tracking, medical imaging, and object recognition is increasing. In particular, the noise reduction technology used in the preprocessing process demands the ability to effectively remove noise and maintain detailed features as the importance of system images increases. In this paper, we provide a modified weight filter based on pixel matching in an AWGN environment. The proposed algorithm uses a pixel matching method to maintain high-frequency components in which the pixel value of the image changes significantly, detects areas with highly relevant patterns in the peripheral area, and matches pixels required for output calculation. Classify the values. The final output is obtained by calculating the weight according to the similarity and spatial distance between the matching pixels with the center pixel in order to consider the edge component in the filtering process.

Parallelization of Genome Sequence Data Pre-Processing on Big Data and HPC Framework (빅데이터 및 고성능컴퓨팅 프레임워크를 활용한 유전체 데이터 전처리 과정의 병렬화)

  • Byun, Eun-Kyu;Kwak, Jae-Hyuck;Mun, Jihyeob
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.10
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    • pp.231-238
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    • 2019
  • Analyzing next-generation genome sequencing data in a conventional way using single server may take several tens of hours depending on the data size. However, in order to cope with emergency situations where the results need to be known within a few hours, it is required to improve the performance of a single genome analysis. In this paper, we propose a parallelized method for pre-processing genome sequence data which can reduce the analysis time by utilizing the big data technology and the highperformance computing cluster which is connected to the high-speed network and shares the parallel file system. For the reliability of analytical data, we have chosen a strategy to parallelize the existing analytical tools and algorithms to the new environment. Parallelized processing, data distribution, and parallel merging techniques have been developed and performance improvements have been confirmed through experiments.