• Journal of the Korea Society of Computer and Information
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• v.25 no.2
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• pp.31-39
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• 2020

In this paper, we introduce a technique for generating synthetic benchmarks based on time series data. Many of the data measured on IoT devices have a time series characteristic that measures numerical changes over time. However, there is a problem that it is difficult to model the data measured over a long period as generalized time series data. To solve this problem, this paper introduces the BST-IGT model. The BST-IGT model separates the entire data into sections that can be easily time-series modeled, collects the generated data into templates, and produces new synthetic benchmarks that share or modify characteristics based on them. As a result of making a new benchmark using the proposed modeling method, we could create a benchmark with multiple aspects by mixing the composite benchmark with the statistical features of the existing data and other benchmarks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.587-592
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• 2019

The importance of software technologies is becoming more prominent because of the competition to secure a competitive edge in software, which has been intensified since the emergence of smartphones and IoT. Thus, to assure the initiative in the global software industry and to foster superior human resources, there is a growing need for outstanding software development professionals. This paper analyzes the factors that affect the basic perception of software, the need for software development, and the enhancement of software coding ability based on a compulsory software class, which aims to increase the workforce of the converged software industry. The analysis shows that among other technical practices to enhance coding ability, learner-centered technical contents showed the most positive effect regarding the recognition and motive of development and are an essential factor in improving coding skills. The findings indicate that the need for program development and active involvement in the development of the program are the most important factors in improving the practical ability. The analysis presents meaningful results by suggesting a methodology for improving software development capabilities.

• Journal of IKEEE
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• v.23 no.3
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• pp.971-977
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• 2019

This paper presents an experimental result showing the encryption and decryption times of the AES and LEA algorithms. AES and LEA algorithms are international and Korean standards for block ciphers, respectively. Through experiments, this paper investigates the applicability of the LEA algorithm for light weight IoT devices. In order to measure the encryption and decryption times, 256-bit and 128-bit secret keys were randomly generated for AES and LEA, respectively. Under our test environment using an Arduino microcontroller, the AES algorithm takes about 45ms for encryption and decryption processes, whereas the LEA algorithm takes about 4ms. Even though processing times of each algorithm may vary much under different implementation and test environments, this experimental result shows that the LEA algorithm can be applied to many light weight IoT devices for security goals.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.526-532
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• 2022

With the development of IoT technology, image processing is being utilized in various fields such as image analysis, image recognition, medical industry, and factory automation. Noise is generated in image data from causes such as defect in transmission line. Image noise must be removed because it damages the performance of the image processing application program. Salt and Pepper noise is a representative type of image noise, and various studies have been conducted to remove Salt and Pepper noise. Widely known methods include A-TMF, AFMF, and SDWF. However, as the noise density increases, the performance deteriorates. Thus, this paper proposes an algorithm that performs filtering using a fuzzy logic weight mask only in case of noise after noise determination. In order to prove the noise removal performance of the proposed algorithm, an experiment was performed on images with 10% to 90% noise added and the PSNR was compared.

• KNOM Review
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• v.23 no.1
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• pp.10-17
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• 2020

As the threat of Distributed Denial-of-Service attacks that exploit weakly secure IoT devices has spread, research on source-side Denial-of-Service attack detection is being activated to quickly detect the attack and the location of attacker. In addition, a collaborative source-side attack detection technique that shares detection results of source-side networks located at individual sites is also being activated to overcome regional limitations of source-side detection. In this paper, we evaluate the performance of a collaborative source-side DDoS attack detection using statistical weights. The statistical weight is calculated based on the detection rate and false positive rate corresponding to the time zone of the individual source-side network. By calculating weighted sum of the source-side DoS attack detection results from various sites, the proposed method determines whether a DDoS attack happens. As a result of the experiment based on actual DNS request to traffic, it was confirmed that the proposed technique reduces false positive rate 2% while maintaining a high attack detection rate.

• The monthly packaging world
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• s.295
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• pp.87-89
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• 2017

경쟁이 심화되고 있는 식품 및 음료시장에서 살아남기 위해 제조사들은 생산속도와 생산효율성 향상에 사활을 걸고 있다. 장비 고장으로 생산라인이 멈추게 되면 수익에 직접적인 타격을 줄 뿐만 아니라 회사 신뢰도에도 영향을 미칠 수 있다. 이 때문에 전체 장비 효율성에 대부분의 제조사들이 집중하고 있다. 미국의 인쇄 및 마킹 전문기업 Videojet은 최근 고객 피드백 연구에서 얻은 결과를 바탕으로 차세대 연속식 잉크젯 프린터 'Videojet 1860'을 선보였다. 특히 이 제품은 4차산업혁명에 발맞춰 IoT기술을 강화해 화제가 되고 있다. Videojet Technologies의 Anthony Blencowe 연속식 잉크젯 프린터 글로벌 사업부 이사와 최신 식음료시장의 트렌드와 포장 및 인쇄에 대한 이야기를 나눠봤다.

• Annual Conference of KIPS
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• 2017.04a
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• pp.1123-1125
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• 2017

ICT 기술의 발달과 농촌의 고령화로 인한 사회적 문제(노동력 부족)를 해결하기 위하여 스마트팜(Smart-Farm) 상품이 많이 운용되고 있다. 하지만, 대부분의 스마트팜 솔루션은 통신기술을 기반으로 개발 및 상품화되었다. 따라서, 시설재배 농가의 요구사항(일관된 생산품질 유지 및 돌발상황 대처 등)이 반영된 스마트팜 상품을 개발하기 위한 제품과는 거리가 멀다. 본 연구에서는 IoT 플랫폼 기반의 시설재배용 스마트 관제시스템 최적화 모델을 개발을 위한 설계 결과를 제시하고자 한다.

• Review of KIISC
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• v.29 no.5
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• pp.31-36
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• 2019

초고속, 초저지연, 초연결 특성으로 대표되는 5G 시대가 도래함에 따라 새로운 통신 환경과 서비스 환경에 적합한 암호기술이 요구되고 있다. IoT 환경 등 자원이 제약된 기기를 위한 저면적/저전력 암호기술, 자율 주행 등 실시간 처리를 위한 저지연 암호기술 등 경량암호에 대한 요구사항 또한 다변화되고 있다. 본 고에서는 SPECK/SIMON, LEA 등으로 대표되는 경량 블록암호와 초저지연 암호기술에 대해 살펴보고 NIST에서 진행 중인 경량암호 공모사업을 소개한다.

• Electronics and Telecommunications Trends
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• v.28 no.1
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• pp.121-136
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• 2013

사물 인터넷(Internet of Things: IoT)이 M2M의 궁극적 비전이라면, 만물지능통신 기반 초연결은 사람 사물 공간 그리고 시스템 간에 끊김 없는 콘텐츠를 기반으로 인식 판단 처리가 이루어지는 초연결(hyper-connectivity) 인터넷의 궁극적인 비전이라고 할 수 있다. 본고에서는 인터넷의 기본 이념인 '모든 것들 간의 상호연결'이 실현되는 2030년 어느 날의 하루를 시나리오로 소개한다. 그리고 동 시나리오에서는 지구 규모로 모든 컴퓨터, 기기, 데이터, 콘텐츠가 상호작용하는 초연결 디지털 세상의 진면목을 보여준다. 이 과정에서 미래 만물지능통신 기반 초연결 관련 기술, 사회생활 등을 엿볼 수 있는 용어를 각 상황별로 쉽게 설명함으로써 시나리오 이해와 가독성을 높이고자 하였다. 마지막으로 분석을 토대로 사람의 생각, 기술 그리고 사회를 분산적이고 유기적으로 상호 연결할 수 있다는 월드와이드웹(WWW)의 담대한 비전을 포괄하는 초연결 혁명 시대의 함의를 고찰하고자 하였다.

• 대한공업교육학회지
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• v.43 no.1
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• pp.158-176
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• 2018

The purpose of this study is to analyze the satisfaction of the manufacturing process and the satisfaction of manufacturing lesson in the lesson of model product manufacturing based on IoT(Internet of Things) for pre-service technology teachers. and we also analyzed 'smart farm' model production manufacturing among various products. The survey questionnaires with 8 questions to investigate satisfaction level of model manufacturing process, difficulties in manufacturing, and the satisfaction level of manufacturing lesson were collected from the 15 pre-service technology teachers and analyzed by using SPSS program. and The results of this study were as follows: First, the lesson satisfaction average level of pre-service technology teachers was high(M=4.22) in model product manufacturing process for the 'smart farm' model making based on the IoT. Second, the average satisfaction level of 'patent search and prior art search report writing education' was as high as 4.07. Therefore, the application of 'prior art search report writing education' showed that it helped to make the product. Third, the best high satisfaction level in the model production manufacturing procedure was 'education of inventive thinking method'(M=4.40). Therefore, the pre-service technology teachers showed that the 'education of inventive thinking methods' was very helpful from the idea design to the optimal selection of idea. The next order of satisfaction level was high(M=4.33) in 'design education and counseling' and 'guidance through selection of professor who guide the production manufacturing in addition to professors who are in charge of lesson'. Because they were helpful in solving the lack of knowledge of pre-service technology teachers. Fourth, satisfaction level with 'the presentation of model making results and exhibitions', 'presentations and participations of external event' was high (M = 4.13). Although the results of interviews with pre-service technology teachers showed that they suffered from lack of knowledge in various technologies, but it was an opportunity to learn things and felt a sense of accomplishment.