Earticle

복층유리는 두 장의 유리 사이에 간격을 유지하는 간봉이 위치하고 내부 습기 및 이물 침투를 방지하기 위한 가스 주입 후 부틸 재질 등의 실링제를 도포하여 기밀을 형성한다. 여기서 실링제만 도포되었을 경우 실링부의 균열이 쉽게 발생하여 습기침투 및 백화현상, 열관류율 저하 등의 품질문제가 자주 발생하고 있다. 이러한 문제를 해결하기 위 해 실링부 위에 부틸재질의 테이프를 End Taping 함으로써 복층유리 실링을 보호하고 기밀성을 더욱 향상시킬 수 있 다. 이와 같이 복층유리조립 자동화설비 라인에 추가적으로 End Taping을 적용시킬 수 있는 자동화 시스템을 개발함으 로써 복층유리의 기밀성과 열관류율을 향상시키고 고질적인 불량문제를 해결할 수 있을 것으로 기대된다.

The airtightness of Double Glazing inserted spacer to maintain distance between tow pane of glass is retained by butyl sealing after gas filled to prevent permeation moisture and foreign substance. The Double Glazing of quality problem ,cracking parts insulated and sealed by butyl material, efflorescence phenomenon and heat transmission coefficient degradation, are often occurred when just spreaded butyl materials. The airtightness of Double Glazing can be improved and the butyl sealed section can be protected by putting butyl material end tape to solve these problem on the sealing section. To resolve the quality issue of Double Glazing and improve the heat transmission coefficient, airtightness is expected by development automation system applying the end taping

The 4th industrial revolution in recent years is a term used to describe a new paradigm based on IoT (Internet of Things), Big-data, and Artificial Intelligent technology. IoT means collecting data from the real world and sending them to the internet and accumulating as the big data. This accumulated data aims at making intelligent system by using artificial intelligence as learning data. In this paper, we show how it is possible to control actual facilities using artificial intelligence reinforcement learning by using facility data accumulated through IoT and big data.

This research investigates a system for house design automation. The system is based on an object-oriented building data model, aiming to support the house design process conducted by non-expert users. Its object model, with simple yet powerful user interfaces, enables a CAD system to handle a complicated building system with much ease. Hence, the model dramatically simplifies the design process beyond just the automatic document generation. In this paper, we discuss the aspects of the building data model, introduce critical concepts such as grid objects and structured floor plan, and present a prototype system called GPLAN. The system is implemented in the framework of our building data model, and it provides a host of intelligent features that have been proved useful for house design automation.

The development of technology provides and increases security as well as convenience for humans. The development of new technology directly affects the standard of life thanks to smart home automatic control systems. This paper describes a door control, automatic curtain, home security (CCTV, fire, gas, safe, etc.), home control (energy, light, ventilation, etc.) and web-based smart home automatic controller. It also describes the use of ARM (Advanced RISC Machines) for automatic control of home equipment, a Multi-Axes Servo Controller using FPGA (Field Programmable Gate Array) and PLC (programmable logic controller). Additionally, it describes the development of a HTML editor using web auto control software. The tab loading time (7 seconds) is faster when using ARM-based web browser software instead of Chrome and Firefox is used because the browser has a small memory footprint (300M). This system is realized by web auto controller language which controls and uses PLCs that are easier than existing devices. This smart home automatic control technology can control smart home equipment anywhere and anytime and provides a remote interface through mobile equipment.

This paper describes a implementation of virtual interactive interview system. A hand motion recognition algorithm based on the particle filters is applied for this system. The particle filter is well operated for human hand motion recognition than any other recognition algorithm. Through the experiments, we show that the proposed scheme is stable and works well in virtual interview system's environments.

Since the proportion of elderly citizens is increasing every year, the social interest is increasing for the health and the safety of the elderly. The nursing home is continually being created to care for more elderly people. However, the quality of service is not enough due to the lack of elderly caregivers. Elderly care and management services are being studied to replace the shortage of caregivers. Existing research for the implementation of an automatic care system has a high initial system cost. Furthermore, it lacks the ability to store and manage large amounts of data. In this paper, we propose a system that manages a large amount of data continuously generated through CCTV and provides a streaming service with a high level of quality-of-service (QoS) to users with collected video. Through the proposed system, it is possible to record and manage the behavioral information of the elderly occurring in the nursing home together with the video. In addition, according to the user's request, it has built a service that streams the video and behavioral information according to the date and time in real-time.

최근 보안 시스템의 안정성을 위해서 음성인식을 많이 활용하고 있다. 음성인식은 크게 화자의 식별과 인 증으로 구분할 수 있다. 화자의 식별은 여러 사람의 목소리 중에서 누구의 목소리 인지 인식하는 것이고, 화자 인 증은 목소리가 특정 화자의 목소리가 맞는지를 인증하는 것이다. 또 다른 기준으로 약속된 발화를 사용하는지 여 부에 따라 문장 종속 화자 인식과 문장 독립 화자 인식으로 분류할 수 있다. 본 논문에서는 음성의 특징 추출을 위해 Mel-Frequency Cepstral Coefficients(MFCC)를 사용하고 음성 특징 모델링을 위해 Gaussian Mixture Modeling(GMM) 모델을 사용한다. 화자를 검증하기 위해서 입력된 음성의 유사도를 판정하였다. 연구에서 구현 한 시스템은 음성이 검증된 사용자에 한해서 시스템 접근 권한을 부여할 수 있도록 하였다. 실험을 하는 동안 34db 이상의 다양한 유형의 배경 소음을 사용하였고 이 상황에서 70%의 이상의 정확도를 보였다.

Recently, voice recognition has been widely used for the stability of security systems. Voice recognition can be largely divided into speaker identification and authentication. Speaker identification is to recognize whose voice is among several people's voices, and speaker authentication is to authenticate whether the voice is a specific speaker's voice. Another criterion is whether or not the promised utterance is used, and it can be classified into sentence-dependent speaker recognition and sentence-independent speaker recognition. In this paper, Mel-Frequency Cepstral Coefficients (MFCC) are used to extract voice features, and Gaussian Mixture Modeling (GMM) model is used for voice feature modeling. In order to verify the speaker, the similarity of the input voice was determined. The system implemented in the study grants system access only to users whose voices have been verified. During the experiment, various types of background noises of 34 db or more were used, and in this situation, an accuracy of more than 70% was shown.

본 연구는 기업이 정보보호 관리체계(ISMS) 인증심사를 준비함에 있어 복잡한 규제 준수 요구사항에 대한 효율적인 현황 진단 및 분석을 위해 LLM 기반의 인증관리 자동화 시스템을 제안한다. 이 시스템은 다음의 두 가지 기능을 가진다. 첫 번째는 근거 문서 탐색 기능으로, 기업의 정책상 인증기준에 부합하는 내용을 자동으로 분석 및 탐색한다. 이때, 단순히 LLM만 도입할 경우 잘못된 데이터를 참조하여 발생하는 할루시네이션을 해결하기 위해 해당 기업의 문서만을 참조하도록 RAG 기술을 적용하였다. 두 번째는 증적 적정성 점검 기능으로, 일부 항목에 대해 증적 자료와 인증기준 간의 부합 여부를 자동으로 점검한다. 필요한 대부분의 증적 자료가 표와 텍스트로 이루어진 점을 고려하여 LLM에 전달할 데이터의 전처리 과정에 OCR 기술을 적용하였다. 본 시스템의 성능 평가는 Big-O 노테이션과 실제 ISMS 인증심사에 사용된 컨설팅 산출물을 기준으로 진행하였으며, 기존 컨설팅 과정에 비해 단축된 소요시간과 분석 결과의 높은 정확도를 확인하였다. 이를 통해 기업의 부담을 경감시킬 뿐 아니라 정보보호 수준을 향상시킬 것이며, 나아가 더욱 간소화된 심사 절차로 개편될 것으로 기대된다.

This study proposes an LLM-based certification management automation system for efficient diagnosis and analysis of complex regulatory compliance requirements when preparing for an Information Security Management System(ISMS) certification. This system has the following two functions. The first is the document search function, which automatically analyzes and searches for content that meets the certification standards according to the company's policy. At this time, in order to solve the hallucination that occurs by simply introducing LLM, RAG was applied to refer only to the company's documents. The second is the evidence appropriateness check function, which automatically checks whether the evidence data and the certification criteria meet for some items. Considering that most of the necessary evidence data are in tables and texts, OCR was applied to the preprocessing process of data to be delivered to LLM. The performance evaluation of this system was conducted based on the Big-O notation and the consulting output used in the actual ISMS certification, and the reduced time required and high accuracy and detail of the analysis results were confirmed compared to the existing consulting process. This will not only reduce the burden on companies, but also improve the level of information security, and is expected to be reorganized into a more simplified screening process.

가정에서 IoT 장비가 많이 활용되면서, IoT 장비를 통합하여 사용자의 편의에 맞게 사용하는 IoT automation system을 향한 관심도 많아졌다. IoT automation system에서는 사전 정의된 자동화규칙에 따라 IoT 장비의 정보를 수집하고, IoT 장비가 작동한다. 하지만 공격자는 패킷을 지연시켜 실제 상태와 시스템에서 인식한 상태의 불일치가 되는 시간을 만든다. 이 시간 동안 시스템은 사전 정의한 자동화 규칙대로 동작하지 않는다. 제안된 지연공격 탐지방법이 일부 있지만, 트래픽량이나 배터리에 민감한 IoT system에 적용하기에 제한사항이 있다. 본 논문에서는 IoT 시스템에 적용할 수 있는 실용적인 패킷 지연 공격 탐지 방법을 제시한다. 제안 방법은 메시지를 전송할 때, 메세지의 전송을 알리는 패킷을 브로드캐스트로 발송함으로써 서버가 이벤트의 발생을 인지할 수 있도록 한다. 평가를 위하여 Raberry pi로 구현된 IoT system을 구성하고, 패킷 지연 공격에 대하여 평균2.2초이내로탐지할 수 있음을 보였다. 실험 결과 소모 전류 Overhead는 초당 평균 2.5 mA, 트래픽 Overhead는 15% 발생하였고, 기존 제안된 탐지방법보다 효율적으로 Delay attack을 탐지할 수 있음을 밝혔다.

As IoT devices are widely used at home, IoT automation system that is integrate IoT devices for users' demand are gaining populrity. There is automation rule in IoT automation system that is collecting event and command action. But attacker delay the packet and make time that real state is inconsistent with state recongnized by the system. During the time, the system does not work correctly by predefined automation rule. There is proposed some detection method for delay attack, they have limitations for application to IoT systems that are sensitive to traffic volume and battery consumption. This paper proposes a practical packet delay attack detection technique that can be applied to IoT systems. The proposal scheme in this paper can recognize that, for example, when a sensor transmits an message, an broadcast packet notifying the transmission of a message is sent to the Server recognized that event has occurred. For evaluation purposes, an IoT system implemented using Raspberry Pi was configured, and it was demonstrated that the system can detect packet delay attacks within an average of 2.2 sec. The experimental results showed a power consumption Overhead of an average of 2.5 mA per second and a traffic Overhead of 15%. We demonstrate that our method can detect delay attack efficiently compared to preciously proposed method.

본 연구는 가사 노동의 효율성을 높이기 위해 의류 인식 및 빨래 개기 작업을 자동화하는 시스템을 설계하였다. CNN 모델을 사용해 Fashion MNIST 데이터셋으로 상의를 분류하는 모델을 학습하였고, OV7670 카메라 센서를 통해 의류를 인식하여 분류 결과에 따라 접는 부위를 예측하고 자동으로 빨래를 개는 알고리즘을 구현하였다. 연구 결과, CNN 모델은 의류를 효과적으로 분류하였고, 설계된 빨래 개기 알고리즘은 사전 설정된 규칙에 따라 작업을 성공적으로 수행하였다. 본 연구는 컴퓨터 비전과 자동화 기술을 결합하여 가사 노동을 줄이고, 향후 스마트홈 시스템의 발전에 기여할 수 있음을 시사한다.

This study designed an automated system to improve household labor efficiency by automating clothing recognition and folding tasks. A CNN model was trained on the Fashion MNIST dataset to classify tops, and an OV7670 camera sensor was used to recognize clothing. Based on the classification results, the folding points were predicted, and an algorithm was implemented to automate the folding process. The study found that the CNN model effectively classified the clothing, and the folding algorithm successfully performed tasks according to preset rules. These findings suggest that integrating computer vision and automation can significantly reduce household labor, providing a foundation for future smart home applications.

As a result of the recent water resources crisis, development of water management automation system becomes important. This system should be developed with open architecture in order to flexibly meet the spacial and time change of irrigation water demand. Thereby, water management automation system requires open architecture and suitable software program. This study presents an application of object-oriented methodology for Open Water Management Program(OWMP). Accordingly, OWMP provides a high degree of reliability which allows modification of parameters by change of region or time to be possible. OWMP consists of Data Base Management System(DBMS) and Model System. DBMS makes it possible to analyze data related with planning water schedule and establishing database. Model System calculates reservoir inflow, reservoir effluent and basin water demand. An operator decides the reservoir operation with results of Model System and DBMS. OWMP could be adapted to the planning and decision for saving water.

최근 자율주행 자동차에 대한 관심이 높아짐에 따라 자율주행 자동차 관련 기술 개발에 대한 활발한 연구가 진행되고 있다. 이에 따라 자율주행 환경에서의 운전자 관점에 대한 연구도 조금씩 늘어나고 있는 추세이다. 그러나 일부 연구들은 자율주행 자동차에 대한 낙관적인 입장만을 보이고 있다. 하지만, 선행 연구에서는 실제 자율주행 자동차를 태우지 않았다는 한계가 있다. 따라서, 본 연구에서는 자율주행 자동차를 기반으로 인간과 차량 간 상호작용을 알아보고자 에스노그라피 접근을 통한 질적 연구를 진행하였다. 그 결과, 자율주행 환경에서 운전자의 경험에 영향을 미치는 8개의 불신 요소를 도출하였다. 결과적으로 본 연구는 기존 신뢰 모형을 통해 자율주행 맥락에 적용하여 확장하였다는 점과 결과를 바탕으로 자율주행 환경에서 불신을 낮추고 신뢰를 높여줄 디자인 가이드를 제시했다는 점에서 이론적 및 실용적 의의가 있다.

Recently technological drive on autonomous vehicle is on the rush. Along with the trend, researches on driver's perspective are increasing. However, previous studies have limitations in terms of study period and rich experience. In this paper, we conducted an ethnographically inspired fieldwork to observe human-autonomous car interaction. We had six participants to ride a prototype autonomous car on the real road for six days. After, we generated trust, distrust factors according to Lee & See's categorization of trust dimension: process, performance, and purpose. We derived eight distrust factors that saliently influences passenger's experience in autonomous vehicle. Our research broadens trust model into autonomous driving context based on real road field study and contributes to automotive community with design guidelines to increase trust toward autonomous vehicle.

This paper describes a task level cell programming environment that deals with difficulties in programming Flexible Manufacturing Cells (FMCs), and consists of the cell programming editor and the automatic generation module. In the cell programming editor, cell programs can be developed with task- oriented cell specifications that reduces the amount of details to be considered by cell programmers. The automatic generation module transforms task specifications into executable programs used by cell constituents. The development tool in designing the environment is an object-oriented approach which provides a simple to use and intuitive user interface, and allows for an easy development of object models associated with the environment. Test results are illustrated in order to demonstrate the applicability of the developed envifonment.

An automatic noise detection system is developed to sense abnormal noises in operating a microwave electronic range. A noise detection method is presented which accounts for the effects of backgound and dynamic noises of the range. A recursive formula used as a noise estimator is a special case of the discrete-time Kalman filter in stochastic processes. Noise levels were measured using a noise acquisition processor in a closed room free of background noise, and detected signals were processes using a microcomputer. The results obtaines showed that the fault detection system should be fast in response to the data acquired and should be high in accuracy and reliability.

본 연구는 도서관자동화시스템에 대한 현황 분석을 기반으로 향후 개선 방향을 모색하는 것을 목적으로 한다. 연구에서는 KESLI와 KCUE 컨소시엄에 참여하는 기관의 담당 사서를 대상으로 설문을 진행함으로써 도서관자동화시스템의 현황과 만족도, 오픈소스 기반 도서관자동화시스템의 현황과 인식을 조사하였다. 연구 결과, 현재 도서관에서 사용하는 자동화시스템은 대부분 2000년대 혹은 2010년대에 외주도입 방식으로 개발되었으며, 도서관자동화시스템 전반에 대해서 50% 이상의 응답자가 만족 의견을 보였다. 전반적인 만족도는 개별 기능 만족도와 고객지원 서비스 만족도, 시스템의 구축 및 운영관리 만족도의 영향을 받는 것으로 확인되었다. 현재 도서관자동화시스템은 대부분 오픈소스 혹은 클라우드를 활용하지 않고 있었으나 향후 활용 의사가 높게 나타났으며, 특히 3년 이내에 도입하겠다는 답변도 40% 이상을 차지했다. 본 연구는 향후 오픈소스기반 도서관자동화시스템 구축을 위한 중요한 기초 자료가 될 것으로 기대된다.

This study aims to analyze the current status of library automation systems and explore future directions for improvement. The study was conducted by surveying librarians at institutions participating in the KESLI and KCUE consortia to investigate the current status and satisfaction with library automation systems, and the current status and awareness of open source-based library automation systems. The study found that most automation systems currently in use in libraries were developed through outsourcing in the 2000s or 2010s, and that more than 50% of respondents were satisfied with the overall library automation system. Overall satisfaction was found to be influenced by satisfaction with the functionality, customer support services and construction and operational management of the system. Most current library automation systems are not based on open source software or cloud services, but the intention to use them in the future is high, with more than 40% of respondents saying they would use them within three years. This study is expected to serve as an important foundation for building an open source-based library automation system in the future.

This paper suggests a specific model that could efficiently improve the interaction and the interface between MES(Manufacturing Execution System) server and POP(Point of Production) terminal through electronic document server and electronic pen, bluetooth receiver and form paper in disassembly and process inspection works. The proposed model shows that the new method by electronic document automation system can more efficiently perform to reduce processing time for maintenance work, compared with the current approach by handwritten processing system. It is noted in case of the method by electronic document automation system that the effects of proposed model are as follows; (a) While the processing time per equipment for maintenance by the current method was 300 minutes, the processing time by the new method was 50 minutes. (b) While the processing error ratio by the current method was 20%, the error ratio by the new method was 1%.

본 논문에서는 메인 제어 보드에 연결되는 디바이스 모듈 보드들을 자동하는 인식하는 새로운 자동화 시스템을 설계 및 구현하였다. 본 논문의 시스템은 메인보드와 디바이스 모듈 보드로 나누어 설계하였으며, 메인보드에는 모듈보드와 연결할 수 있도록 슬롯 구조에 의해 설계되었다. 제안된 슬롯구조는 장착이 편리하고 기능의 추가 및 확장이 가능하도록 하였다. 또한 장치 보드들을 자동으로 인식함으로 통해 새로운 기존의 시스템을 업그레이드하거나 새로운 디바이스의 추가하는 등의 기능변경이 용이하도록 시스템을 설계 및 개발하였다. 본 논문에서 제안 된 시스템은 K10S1 PLC를 가지고 실험 및 검증하였다. 실험 분석 결과 제품의 기능향상에 드는 간 및 비용의 단축 효과가 나타났다.

This paper proposed design and implementation of automation system that recognize device module boards automatically that are connected on main control board. The system of this paper is divided to main board and device module boards, and the main board is designed a board by slot structure. The slot structure is possible a extension for upgrade and addition of board ability. Besides, it is easier a establishment and disjointing because it recognizes automatically a device board. The proposed system in this paper compares with K10S1 PLC. The result shows an advantage of extensibility and ability, and it is reduced expense and period for development.

Recently, in the case of the root industry, although it is a basic industry that forms the basis of manufacturing competitiveness, there continues to be a shortage of manpower due to reasons such as dangerous working environments, industrial economic difficulties, and low wage systems. In addition, the demand for automation of production lines using robots is increasing due to a shrinking labor market due to a decrease in the working population due to aging, higher wages, shorter working hours, and limitations of foreign workers. In this study, a system was developed to automate the injection molding process for producing ball valves for automobiles by applying robot system. The applied process flow consists of alignment and insertion of insert parts, and removal, transfer, and loading of the product after injection molding, which is currently performed manually. Through the application of the developed robot automation system, the cycle time was improved by more than 30% and the defect rate was reduced by more than 70%.