• 스마트미디어저널
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• 제10권2호
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• pp.84-91
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• 2021

EU의 GDPR에 따르면 개인정보를 수집할 때 정보 주체(사용자)의 동의 혹은 거절하는 권리가 가장 우선시 되고 있다. 그러므로 정보 주체는 언제라도 동의 철회 및 잊힐 권리를 주장할 수 있어야 한다. 특히, 제한적인 IoT 장치(Constrained Node)에서는 프라이버시에 민감한 데이터의 수집, 처리 등에 대해 정보 주체의 동의 기능 구현 및 수집 정보의 활용 내용을 게시하기 매우 어렵다. 본 논문에서는 정보 주체가 IoT 장치에서 수집, 처리되는 데이터를 모니터링하여, 정보 유출의 문제를 인지하고, 연결 및 장치 제어가 가능한 관리 시스템을 설계하고 구현하였다. IoT 장치의 표준 OCF(Open Connectivity Foundation)와 장치 연결 프레임워크인 AllJoyn의 공통 정보를 고려하고, 정보 보호를 위한 메타 데이터 10개를 정의하였다. 이를 DPD(Data Protection Descriptor)라고 명명하였으며, DPD를 기반으로 정보 주체가 정보를 관리할 수 있는 SW인 DPM(Data Protection Manager)를 개발하였다.

• 문화기술의 융합
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• 제5권1호
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• pp.1-12
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• 2019

우리나라는 일제 식민지배로 인해 중요한 근대의 시기를 읽어 버렸음에도 오늘날 선진국의 반열에 올라서 있다. 이 시기는 디자인 활동에도 상당한 제약을 받았음으로 우리의 창의적이고 혁신적인 디자인 행위는 별로 없었을 것으로 생각하는 것이 일반적이며 그에 대해 연구한 결과도 미미하다. 이 시기의 디자인 행위에 있어 창의적 발상이나 혁신적인 디자인들은 전혀 없는 것인가? 라는 물음 속에서 당시 남겨진 근대디자인의 여러 산물들에 대하여 분석한 결과 10가지의 분야에서 새롭고 남다른 혁신성(Innovation)을 발견할 수 있었다. 즉 오늘날도 디자인 분야에서 구사하는 혁신적인 전략 예컨대 브랜드 패밀리, 뉴 사인시스템, 모더니즘 스타일, 로컬라이제이션, 스타마케팅, 완 소스 멀티 유즈, 프라이빗 브랜드, 자연친화, 융 복합, 패러디 전략 등을 활용해 디자인했음을 확인할 수 있었다.

• 농촌계획
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• 제25권2호
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• pp.89-98
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• 2019

The purpose of this study is to develop the evaluation factors for formation of the future - oriented rural residential environment and to derive the importance of this evaluation factors. The main research methods are network analysis using Net-miner, AHP analysis and importance analysis for experts. The main research results are as follows. First, 6 factors for evaluation rural residential environment(environmental-sustainability, communality, self-reliance, aesthetic, enjoyment, settlement), 3 sub-factors of each factors, and key physical facilities(10 for rural center and 28 for rural villages) were derived by literature analysis and network analysis on it. Second, key priority factors that should be considered in physical formation of rural residential environment was deducted by AHP analysis. Improving accessibility of living services in the settlement factor, improvement of garbage collection and wastewater treatment system around the residential area, and ensuring topographic continuity in the environmental-sustainability factor was derived as a priority factors. Third, as a result of evaluation of the importance of physical facilities in the rural residential environment, there was a high demand for cultural welfare facilities in common. However, when compared with the villages where the harmony between the natural environment and the living environment is emphasized, convenience of living and accessibility of transportation were important in the rural center. These results suggest that solving the qualitative conditions as residential environment will help to attract new population. This study will contribute to enhance the qualitative level of the rural residential environment by suggesting strategic priority items when carrying out projects related to the rural residential environment creation in the future.

• The Plant Pathology Journal
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• 제38권4호
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• pp.313-322
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• 2022

Seed-borne pathogens in crops reduce the seed germination rate and hamper seedling growth, leading to significant yield loss. Due to the growing concerns about environmental damage and the development of resistance to agrochemicals among pathogen populations, there is a strong demand for eco-friendly alternatives to synthetic chemicals in agriculture. It has been well established during the last few decades that plant seeds harbor diverse microbes, some of which are vertically transmitted and important for plant health and productivity. In this study, we isolated culturable endophytic bacteria and fungi from soybean seeds and evaluated their antagonistic activities against common bacterial and fungal seed-borne pathogens of soybean. A total of 87 bacterial isolates and 66 fungal isolates were obtained. Sequencing of 16S rDNA and internal transcribed spacer amplicon showed that these isolates correspond to 30 and 15 different species of bacteria and fungi, respectively. Our antibacterial and antifungal activity assay showed that four fungal species and nine bacterial species have the potential to suppress the growth of at least one seed-borne pathogen tested in the study. Among them, Pseudomonas koreensis appears to have strong antagonistic activities across all the pathogens. Our collection of soybean seed endophytes would be a valuable resource not only for studying biology and ecology of seed endophytes but also for practical deployment of seed endophytes toward crop protection.

• 대한안전경영과학회지
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• 제24권1호
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• pp.31-38
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• 2022

The most common symptoms of COVID-19 are high fever, cough, headache, and fever. These symptoms may vary from person to person, but checking for "fever" is the government's most basic measure. To confirm this, many facilities use thermographic cameras. Since the previously developed thermographic camera measures body temperature one by one, it takes a lot of time to measure body temperature in places where many people enter and exit, such as multi-use facilities. In order to prevent malfunctions and errors and to prevent sensitive personal information collection, this research team attempted to develop a facial recognition thermographic camera. The purpose of this study is to compensate for the shortcomings of existing thermographic cameras with disaster safety IoT integrated solution products and to provide quarantine systems using advanced facial recognition technologies. In addition, the captured image information should be protected as personal sensitive information, and a recent leak to China occurred. In order to prevent another case of personal information leakage, it is urgent to develop a thermographic camera that reflects this part. The thermal imaging camera system based on facial recognition technology developed in this study received two patents and one application as of January 2022. In the COVID-19 infectious disease disaster, 'quarantine' is an essential element that must be done at the preventive stage. Therefore, we hope that this development will be useful in the quarantine management field.

• 한국의상디자인학회지
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• 제23권4호
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• pp.39-56
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• 2021

The purpose of this study was to observe the expressive characteristics of Neo-Deconstruction design, examine the expressive characteristics of Neo-Deconstruction design in the collections of Jacquemus, and analyze their internal meanings. For research, observations were made based on the concepts and expressive characteristics of Deconstruction through prior research and literary review, and analysis was conducted focusing on the expressive characteristics of Neo-Deconstruction. The scope of analysis included a total of 605 photographs collected from a total of 17 season collections of Jacquemus from the 2013 S/S to the 2021 S/S season. The results are as follows. First, the Neo-Deconstruction of Jacquemus expresses the youth culture using bright images such as diverse colors and patterns with 'positive playfulness' and pass on positive messages with deconstructive and playful forms, such as exaggeration and reduction and recombination and reconstitution. Second, with tendencies of 'symbolic receptivity', Jacquemus gained inspiration from his own life, memories, and hometown, and attempted to express the street women of places such as southern France, Paris, and Monaco in a number of collections. Also, he proposed designs that can be worn easily by anyone, regardless of gender, and as plus size models began to become more common respect was given to the tastes and preferences of diverse individuals without distinctions based on body type or sexuality. Third, 'geometric simplicity' was generally expressed by pursuing simple and practical fashion with the addition of details, such as geometric forms including stripes or asymmetrical expressions centering around everyday material that is used in clothing. Fourth, with "open communication," Jacquemus constructed his identity by addressing the various needs of consumers based on social network services and continuously sharing his creative ideas with the public. He is gaining popularity in a unique way by responding quickly to the changing atmosphere of society.

• 한국소프트웨어감정평가학회 논문지
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• 제16권2호
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• pp.45-52
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• 2020

소스 코드의 보안 취약점을 탐지하는 전통적인 방법은 많은 시간과 노력을 필요로 한다. 만약 보안 취약점 유형들에 대한 좋은 품질의 데이터가 있다면, 이와 머신러닝 기술을 활용해 효과적으로 문제를 해결할 수 있을 것이다. 이에 본 논문은 정적 프로그램 분석에 머신러닝 기술을 활용하여 소스 코드에서 보안 취약점을 탐지하는 방법을 제시하고, 실험을 통하여 가능성을 보인다. 메소드 단위의 코드 조각의 의미를 해석하여 메소드의 이름을 예측하는 code2vec 모델을 사용하고, 모델을 생성하고 검증 및 평가를 하기 위한 데이터로 흔히 발생할 수 있는 보안 취약점을 모아놓은 Juliet Test Suite를 사용하였다. 모델 평가 결과 약 97.3%의 정밀도와 약 98.6%의 재현율로 매우 희망적인 결과를 확인하였고 오픈 소스 프로젝트의 취약점을 탐지함으로써 가능성을 보였다. 향후 연구를 통해 다른 취약점 유형과 다양한 언어로 작성된 소스 코드에 대해서 대응함으로써 기존의 분석 도구들을 대체할 수 있을 것이다.

• Smart Structures and Systems
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• 제29권1호
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• pp.181-193
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• 2022

Data-driven structural health monitoring (SHM) of civil infrastructure can be used to continuously assess the state of a structure, allowing preemptive safety measures to be carried out. Long-term monitoring of large-scale civil infrastructure often involves data-collection using a network of numerous sensors of various types. Malfunctioning sensors in the network are common, which can disrupt the condition assessment and even lead to false-negative indications of damage. The overwhelming size of the data collected renders manual approaches to ensure data quality intractable. The task of detecting and classifying an anomaly in the raw data is non-trivial. We propose an approach to automate this task, improving upon the previously developed technique of image-based pre-processing on one-dimensional (1D) data by enriching the features of the neural network input data with multiple channels. In particular, feature engineering is employed to convert the measured time histories into a 3-channel image comprised of (i) the time history, (ii) the spectrogram, and (iii) the probability density function representation of the signal. To demonstrate this approach, a CNN model is designed and trained on a dataset consisting of acceleration records of sensors installed on a long-span bridge, with the goal of fault detection and classification. The effect of imbalance in anomaly patterns observed is studied to better account for unseen test cases. The proposed framework achieves high overall accuracy and recall even when tested on an unseen dataset that is much larger than the samples used for training, offering a viable solution for implementation on full-scale structures where limited labeled-training data is available.

• 한국비블리아학회지
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• 제33권3호
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• pp.55-76
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• 2022

「제3차 도서관발전종합계획」에서는 공공도서관의 공통적인 문제로 장서수장문제가 부각됨에 따라 지역 단위 공동보존서고 설치를 통한 공간확보의 필요성을 제기하고 있다. 「도서관법」 및 「도서관법시행령」 역시 지역 도서관 자료에 대한 통합적 관리의 책임을 지역대표도서관에 부과하고 있다. 이에 이 연구는 지역대표도서관 중 본격적으로 공동보존서고를 운영하고 있는 부산도서관을 연구대상으로 하여 공동보존서고의 운영현황과 공동보존서고에 대한 관내 공공도서관 사서의 인식을 조사하였다. 연구에 필요한 데이터는 설문조사와 인터뷰, 현장조사, 내부자료 분석 등을 통하여 입수하였다. 이를 통해 향후 부산도서관 공동보존서고를 효율적으로 운영할 수 있는데 도움이 되는 기초적인 데이터를 제공함과 동시에 타지역 대표도서관 공동보존서고 운영에 참고할 만한 기초자료를 제시하는 것을 연구의 목적으로 하였다.

• 산업경영시스템학회지
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• 제45권3호
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• pp.31-39
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• 2022

The Army, Navy, and Air Force are currently making various efforts to apply defense IoT technology by reflecting the characteristics of each military. However, there are concerns that comprehensive collection, management, and analysis may be limited because each military has no overlapping system or guaranteed interoperability of data, and there are inefficient aspects in terms of using and investing a limited defense budget. In this study, evaluation items and priorities for pilot projects were selected by applying Delphi technique and AHP method to determine which projects are preferentially effective when commonly applied in terms of Army, Navy, and Air force. As a result of the analysis, the project basis and driving force, project feasibility, performance and ripple effect, redundancy and connection were identified in the order of IoT-based small detachment units and unmanned base construction, intelligent smart unit, smart ground ammunition depot, and smart training management system. According to the comprehensive results reflecting the weights of each evaluation item, the fact that small detachment units and unmanned base construction project are recognized as the first project to be applied to the Army, Navy, and Air Force is a valid approach to be effective while each military is burdened with personnel management because of the reduction of manpower. Through the research results, it is expected that the direction of application to the policy of the defense IoT project can be confirmed in terms of efficient use of limited budgets.