• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.5
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• pp.78-88
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• 2012

AVIs on the road are installed for (1) security (2) and for traffic, and they are various managed by (1) police department, (2) local government, (3) national highway management, (4) Korean highway corporation. But although the collected data of the plate number, the travel time, the picture of the car are same, they are used in purposes of its installation because the managements are different and the data are difficult to be connected with each other. For this reason, this study is to appraise the application for creating traffic information by integrating these data, and to suggest the introduction of spatial detection system which integrated security-traffic AVI DB for the purpose of reliability improvement of center's velocity. The estimating sections of link travel information seems to be expanded, and the error rate between the center's velocity and the experimental value will be reduced if integrated DB of traffic and security AVIs is used for creating traffic information. Also, the crime prevention and arrest rate is expected to rise in the future.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.6
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• pp.730-736
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• 2011

In this paper, we designed the models for pattern classification which can reflect the latest trend in time series. It has been shown that fusion models based on statistical and AI methods are superior to traditional ones for the pattern classification model supporting decision making. Especially, the hit rates of pattern classification models combined with fuzzy theory are relatively increased. The statistical SVM models combined with fuzzy membership function, or the models combining neural network and FCM has shown good performance. BPN, PNN, FNN, FCM, SVM, FSVM, Decision Tree, Time Series Analysis, and Regression Analysis were used for pattern classification models in the experiments of this paper. The economical indices DB with time series properties of the financial market(Korea, KOSPI200 DB) and the electrocardiogram DB of arrhythmia patients in hospital emergencies(USA, MIT-BIH DB) were used for data base.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.748-750
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• 2017

With the development of intelligent technologies, the Internet of Things(IoT) has been applied to various applications. A platform technology including a sensor-server-DB for easily managing data at a remote site is required. In this paper, we implemented a servo motor control system that moves by the smart phone tilt value using NodeJS and MongoDB. The system consists of Rasberry Pi, servo motor and smart phone and the servo motor sensor data is transmitted to NodeJS so that data can be stored in database.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.265-268
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• 2010

Current Traceback is difficult due to the development of bypass technique Proxy and IP-driven to trace the real IP Source IP is the IP traceback after the actual verification is difficult. In this paper, an intelligent about SQL Query field, column, table elements such as analysis of the value and the matching key values and Data used here to analyze source user hit point values for the user to trace the Application Layer IP for the analysis of forensic evidence guided by In this study, including forensic DB security will contribute to the development of electronic trading.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.203-206
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• 2011

차세대 전력망인 Smart Grid는 에너지 효율성을 높이기 위한 대안이다. 현재 Smart Grid는 빠른 진행 속도에 비해 보안상 취약점을 다수 내포하고 있다. 이에 Smart Grid의 보안 취약점들을 분석하고, 취약점들에 대한 대응책을 마련하기 위한 방법을 연구하며, 그에 따른 보안 정책을 개발하여, 이들을 저장하여 보안 DB를 구축하고, 보안 시스템을 개발하여 지능적 취약점 DB 보안 시스템을 작동 시킬 수 있는 방법을 연구하여 다가올 보안 위협에 대응 할 수 있도록 하여 Smart Grid 시대의 발전에 기여 할 것이다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.477-480
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• 2004

산업자원부가 전자상거래에 대하여 전자분서에 대한 법적효력 통일을 위해 법이 규정한 특별한 경우를 제외하고는 일반 종이 서류와 동일하게 효력을 부여함으로써 앞으로 전자 문서에 관여하여 행정부와 기업 등을 막론하고 일반인에게까지 관심사로 대두되고 있다. 이런 시점에서 직업훈련 업무 시스템을 웹 문서화함은 당연하다고 하겠다. 웹의 문서화를 위하여 기존에 사용되고 있는 HTML언어는 자체적으로 한계가 있어 최근 XML(extensible Markup Language)의 장점에 대한 인식이 확산되면서 이를 이용한 응용들의 개발이 진행되고 있다. (1) 기존의 직업훈련 업무 시스템은 대부분 오프라인 상으로 업무를 처리하였으며 온라인 상으로 업무를 처리하더라도 웹서버에서 DB를 연동한 클라이언트-서버 관계에서 클라이언트인 업무자가 오랜 시간을 기다려야만 했다. 본 논문에서는 XML을 이용한 실시간 직업훈련 업무 시스템을 제안함으로써 웹상에서 DB 연동 없이 데이터를 처리함으로써 직업훈련 업무 시스템의 문제점이었던 오프라인상의 업무를 웹 상에서 구현하여 업무에 효과가 있음을 보여줌으로써 XML의 장점을 확인한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.153-156
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• 2005

In this paper, a framework for implementing UFIS (Unified Fuzzy rule-based knowledge Inference System) is presented. First, fuzzy clustering and fuzzy rules deal with the presence of the knowledge in DB (DataBase) and its value is presented with a value between 0 and 1. Second, RDB (Relational DB) and SQL queries provide more flexible functionality fur knowledge management than the conventional non-fuzzy knowledge management systems. Therefore, the obtained fuzzy rules offer the user additional information to be added to the query with the purpose of guiding the search and improving the retrieval in knowledge base and/ or rule base. The framework can be used as DM (Data Mining) and ES (Expert Systems) development and easily integrated with conventional KMS (Knowledge Management Systems) and ES.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.1
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• pp.88-93
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• 2001

기존의 데이터베이스 검색시스템은 사용자의 검색 조건에 정확히 일치하는 데이터가 데이터베이스 내에 존재할 경우에만 사용자에게 해당 데이터를 제공할 수 있고, 사용자의 검색조건을 정확히 만족하는 데이터가 없을 경우에는 적절한 데이터를 제공할 수 없는 문제점이 있다. 이러한 문제를 해결하기 위하여 본 논문에서는 FCM의 클러스터증가 및 재초기화 알고리즘을 제안하였고, FCM을 이용하여 데이터베이스 내의 데이터로부터 구축된 지식기반 데이터베이스(KDB)와 구축된 이미지 데이터베이스와 연동을 통하여 사용자의 요구에 가장 근접한 데이터를 제시해 주는 검색시스템을 제안하였다. 본 연구에서 제안된 수법을 우체국의 우편주문안내책자를 이용한 선물고르기 DB 검색 시스템에 적용하여 그 유효성을 확인하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.4
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• pp.1-8
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• 1997

In this paper, we propose a new intelligent query processing system for relational database !systems. By analyzing previous research results related with fuzzy queries, a new intelligent query processing sysytem is developed and the role of each module including intelligent query processor is defined and :some algorithms for parser, query translation module, inference engine, semantic DB and result com-poser are suggested. By applying a typical example to the proposed intelligent query processing liysytem, reasonable results for the ambiguous query are drawn, and therefore it shows a promising model returning ordered result for both the ambiguous queries and general queries.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.736-743
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• 2022

Construction workers experience a high rate of fatal incidents from mobile equipment in the industry. One of the major causes is the decline in the acoustic condition of workers due to the constant exposure to construction noise. Previous studies have proposed various ways in which audio sensing and machine learning techniques can be used to track equipment's movement on the construction site but not on the audibility of safety signals. This study develops a novel framework to help automate safety surveillance in the construction site. This is done by detecting the audio sound at a different signal-to-noise ratio of -10db, -5db, 0db, 5db, and 10db to notify the worker of imminent dangers of mobile equipment. The scope of this study is focused on developing a signal processing model to help improve the audible sense of mobile equipment for workers. This study includes three-phase: (a) collect audio data of construction equipment, (b) develop a novel audio-based machine learning model for automated detection of collision hazards to be integrated into intelligent hearing protection devices, and (c) conduct field experiments to investigate the system' efficiency and latency. The outcomes showed that the proposed model detects equipment correctly and can timely notify the workers of hazardous situations.