• Annual Conference of KIPS
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• 2022.05a
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• pp.583-585
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• 2022

기존 군사 분야 영상 판독 시스템은 영상 판독관들의 작업 부담이 크고, 판독관들의 경험과 숙련도에 의존적이다. 이전 연구에서 판독관들의 부담을 줄이고 경험 및 숙련 의존도를 낮추기 위해 문장 추천 시스템을 제안하였다. 하지만 학습에 사용된 데이터의 양이 적고, 학습에 사용되지 않은 장비 혹은 지역 등의 단어가 등장 시 제대로 동작하지 않는 한계점이 있었다. 이를 해결하기 위해 학습 데이터 단계와 디코딩 단계에 지식그래프를 적용하여 문장의 다양성과 확장성을 확보하고, 데이터 부족 문제를 완화하였다. 이 연구는 추후 판독관들의 업무 과부화를 완화하고 업무 효율을 높일 수 있을 것이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.120-125
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• 2016

For the purpose of protecting personal property and lives from incidents, accidents, and threats such as terrorism, video surveillance equipment has been installed and operates in many places. Video surveillance technology has gradually developed into high-quality, high-definition equipment, and a lot of products have been launched. However, closed circuit television (CCTV) equipment for security purposes can invade a person's privacy. In this paper, we propose a way to protect personal video images using meta-data in an intelligent Internet protocol (IP) camera. We designed the system to mask personal video information from meta-data, define the method of image-information access according to user privileges, and show how to utilize the meta-data during storage and recorded data searches. The suggested system complies with guidelines for CCTV installation and operation from Korea's Ministry of the Interior. Installed on only a single server so far, due to the limitations and technical difficulties of hardware performance, it has been difficult to find a method that can be applied to personal image information using real-time protection techniques. Applying the method proposed in this paper can satisfy the guidelines, reduce server costs, and reduce system complexity.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.226-233
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• 2010

The study of information fusion technology, which merges various types of data to recognize a situation more exactly, has begun in the area of national defense. Recently, the concept of information fusion is getting applied to other fields, and we are interested in maritime safety. In navigation, officers receive data about inside and outside of ship from several devices in bridge, and use it to recognize and predict the safety situation. However, too much and fast updated data might even fatigue mates, and there is the problem of inconsistency among data from several types of devices. This paper introduce how can use information fusion technology for the situation awareness and prediction of navigation safety, and show the realization possibility of Intelligent Navigation Safety Information System through an information fusion example in a specific situation scenario.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.183-186
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• 2010

This paper presents a stable real-time based FlexRay technology which is employed with a standard protocol of the marine electronic equipments and the bridge navigational watch alarm system (BNWAS). The traditional marine communications use NMEA communication protocols, and RS-232 and RS-422 techniques in the BNWAS, thus there are difficulty in seeking stability and reliability. To overcome such problems we utilize the FlexRay protocol technique to prevent data loss or error.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.635-637
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• 2021

Cybersecurity assessment is the process of assessing the risk level of a system through threat and vulnerability analysis to take appropriate security measures. Accurate security evaluation models are needed to prepare for the recent increase in cyberattacks and the ever-developing intelligent security threats. Therefore, we present a risk assessment model through a matrix-based security assessment model analysis that scores by assigning weights across security equipment, intervals, and vulnerabilities. The factors necessary for cybersecurity evaluation can be simplified and evaluated according to the corporate environment. It is expected that the evaluation will be more appropriate for the enterprise environment through evaluation by security equipment, which will help the cyber security evaluation research in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.93-104
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• 2023

Currently, the permanent road traffic volume surveys under Road Act are conducted using a intrusive Automatic Vehicle Classification (AVC) equipments to classify 12 categories of vehicles. However, intrusive AVC equipment inevitably have friction with vehicles, and physical damage to sensors due to cracks in roads, plastic deformation, and road construction decreases the operation rate. As a result, accuracy and reliability in actual operation are deteriorated, and maintenance costs are also increasing. With the recent development of ITS technology, research to replace the intrusive AVC equipment is being conducted. However multiple equipments or self-built DB operations were required to classify 12 categories of vehicles. Therefore, this study attempted to prepare a method for classifying 12 categories of vehicles using vehicle specification information of the Vehicle Management Information System(VMIS), which is collected and managed in accordance with Motor Vehicle Management Act. In the future, it is expected to be used to upgrade and diversify road traffic statistics using vehicle specifications such as the introduction of a road traffic survey system using Automatic Number Plate Recognition(ANPR) and classification of eco-friendly vehicles.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6D
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• pp.859-869
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• 2008

These days, almost every industry's production line has become automatic and this phenomenon brought a lot of benefits such as increase in productivity and economical effect, assurance in industrial safety, better quality and compatibility. However, unlike industrial production line, in construction industry, automation has number of barriers like uncertainty incidents and intellectual judgment to make ability to make solution out of it. Therefore construction industry is still demanding use of construction machine through labor. Due to this matter operational labor in construction industry is aging and fading. To solve these problem, in developed nations like Europe, US or Japan are keep researching for the automation in construction and road pavement, strengthening and some other simple operations have been worked through automation but in civil engineering site, automation research is still low despite of its importance in constructional site. For automating civil engineering operation, effective operational plan have to be set by analyzing ground information acquainted. If skillful worker apply heuristics, trial & error can be reduced with increased safety and the effective work plan can be established. Hence, this research will introduce Intellectual Task Planning System for Intelligent Excavating System's effective work plan and heuristics applied in each steps.

• Smart Media Journal
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• v.12 no.5
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• pp.36-45
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• 2023

Recently, in digital agriculture, the types and utilization of greenhouses based on IoT are spreading, and greenhouses are being modernized, enlarged, and even factoryized using smart technology. However, a specific standardization plan has not been proposed according to the equipment for data collection in the smart greenhouse and the size or shape of the greenhouse. In other words, there is a lack of standard data for facility equipment, such as the type and number of sensors and equipment according to the size of the greenhouse, the type of greenhouse construction film and materials suitable for crops and carbon neutrality. Therefore, in this study, the suitability of the implementation, installation and quantity of IoT equipment for data collection was tested, and some standard technologies were presented through the implementation of data collection and communication methods. In addition, impact strength, tensile, tear, elongation, light transmittance, and lifespan issues for PE, PVC, and EVA, which account for about 90% of existing greenhouses, were presented, and the shape, size, and environmental problems of greenhouses made of films were presented. presented in the text. In this research paper, a standardized carbon-neutral modular smart greenhouse using nano-material film was implemented as a solution to environmental problems such as greenhouse size, farm crop type, greenhouse lifespan, and film, and its performance with existing greenhouses was analyzed and presented. Through this, we propose a modularized greenhouse that can be expanded or reduced freely without distinction in the size of the greenhouse or the shape of farmhouse crops, and the lifespan is extended and standardized. Finally, the average characteristics of greenhouses using existing PE, PVC, and EVA films and the characteristics of greenhouses using new carbon-neutral nanomaterials are compared and reviewed, and a plan to implement an expandable IoT greenhouse that supports carbon neutrality is proposed.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.170-170
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• 2012

정보통신 기술 발전과 함께 자동차 및 로봇 산업에서도 다양한 IT 기술이 적용되고 있다. 지능형 로봇 및 자율 주행 자동차의 실현을 위해서는 필수적인 센서 기술이 수반되어야 한다. 자동차 및 로봇 산업에서 종래의 센서와 더불어 레이저를 이용한 센서 기술 적용으로 보다 업그레이드 된 성능을 갖게 되었다. 특히, 반도체 레이저를 이용한 전방 물체 및 거리 인식 센서를 사용함으로써 보다 정밀한 분해능과 장거리의 거리 계측이 가능하게 되었다. RF나 초음파 센서보다 우수한 성능을 가진 반도체 레이저 거리 계측 센서를 위한 박막 성장과 성장된 Wafer의 칩 프로세스 공정을 진행하여 레이저 센서로 적용 가능함을 확인하였다. InP 기판 위해 클래드, 도파로, 활성층을 MOCVD 장비로 각각 성장하였으며, 도파로는 비대칭 구조로 성장이 되었다.

• Annual Conference of KIPS
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• 2006.05a
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• pp.1065-1068
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• 2006

u-Healthcare는 의료 장비 및 센서 등을 이용하여 획득된 생체 신호 및 의료정보를 유 무선의 통신수단을 통해 지식 기반의 의료정보로 구축하고 이를 언제, 어디서, 누구든지 이용 가능한 실시간 u-Healthcare 지원 환경을 구축하여 지능형 의료정보 웹 포털 서비스를 제공하는데 목적을 두고 있는 서비스이다. 하지만 현시점에서의 시스템은 생체 신호 및 의료 정보 제공시에 보안에 대한 고려가 이루어지고 있지 않다. 이러한 자원들은 개인 프라이버시에 직결되는 것으로 보안의 필요성이 대두된다. 따라서 본 논문에서는 IP망에서 생체신호 전송을 위한 전송시스템을 설계하고 전송시 생체신호정보에 대해 사용자 인증과 암호화를 적용하여 u-Healthcare 전송시스템을 설계하고 구현하였다.