• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.163-167
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• 2014

From Korea Elevator Safety Institute's report, the major accident factor of elevator is user's mistake, 60%. It means that the necessity of simple monitoring system. In this paper, we explain the standard of elevator safety check and the rate of accidents, then compare with old elevator managing system and new elevator managing system based on IOT technology. Also, we explain the reliability statistics of smart managing system based on expert's decision. Finally, we propose the smart managing system as the alternative method for decreasing the accident factor of elevator.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.6
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• pp.211-216
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• 2017

XML is becoming a de facto standard for the representation and exchange of data, and XML itself is well structured to store and manage data, but it is difficult to understand the document structure at a glance due to its diverse and complex expressions. Thus, it is not appropriate to use it as a tool of conceptual model. In this paper, we propose a method to transform XML schema document structure into conceptual model. To do this, we describe CMXML as a conceptual modeling tool and present transformation rules and data structures for transforming an XML schema structure into CMXML diagram. In the transformation procedure, the XML schema document is input and the CMXML diagram is generated by applying the transformation rules.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.5
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• pp.55-61
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• 2016

For the purpose of video security equipment is to protect personal property and life against from terrorism or recent threats. In this study, if you proceed with the recorded data search, we propose a method for increasing the user's search convenience. It has predefined data structure which is between camera's movement path and relationship. Also, design and implement a tool that automatically generates a files which has inter camera related information on the control center in a multi-camera is installed environment. Using generated file, minimize searching time and increase searching efficiency.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.1
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• pp.253-259
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• 2017

As ICT industrial paradigm changes and wireless communication services evolve, demands on spectrum information are soaring. We conducted demand survey of experts and public in general on spectrum information and prioritized what we should disclose. And we looked into overseas cases and analyzed their policy, the current status, exceptions for opening spectrum information. In this paper, we suggested a direction on how to make spectrum information public in Korea. Also, we made a proposal to establish management system and legislation for opening spectrum information.

• Annual Conference on Human and Language Technology
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• 2001.10d
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• pp.89-96
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• 2001

1999년 제1회 형태소 분석기 및 품사태거 평가 워크숍 이후 표준안에 대한 새로운 대안이나 문제제기등을 제시한 논문은 전무하다. 본 연구에서는 평가대회 참가 이후 표준안을 수정한 새로운 유형의 형태소 분석 프로그램을 제작하여 그 실용성과 앞으로의 발전 가능성과 문제점을 밝혀, 계층구조형의 형태소분석 시스템을 채택하고 있는 일본의 JUMAN을 참조 새로운 유형의 형태소 분석형식을 제시한다. 본 연구는 일본방송협회 방송기술연구소(이하 NHK기술 연구소)의 의뢰에 인한 것이며 어절단위의 표준안과 다른 형태소 단위를 기본요소로 삼고 있으며 활용형을 갖고 있는 용언에 대해서는 활용형의 전개를 하고 있다. 어절단위로 탈피한 이유는 형태소 분석의 기본요소로써 어절단위 보다는 형태소 단위를 기준으로 삼는 것이 생산성이 높다고 생각된다. 어절정보와 문장정보는 XML(extensible makrup language)등의 별도의 정보를 주는 방법을 채택했다. 음절말음이 자음인지 모음인지의 음운 정보에 따라 활용형을 차별했으며 표준안과 달리 명사의 종류와 개념을 세분화했다. 아울러 조사와 어미등의 검색어와 함께 음절을 형성하고 있는 비검색어 대상은 배제하는 프로그램과 표준안의 어절방식으로 출력하는 3가지 프로그램을 작성했다. 본 연구에서는 계층구조의 형태소분석 프로그램의 가능성과 한국어의 특성을 고려한 출력항목등을 고찰하는 것을 목적으로 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.2
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• pp.35-42
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• 2008

In order to reduce a recent traffic accident, the traffic accident research has been studied using IT technique. But, when running away traffic accident it occurs, it is difficult to find the assault vehicle. In this paper, to solve these problems, if traffic accident will happen, The RFID reader will be able to recognize a license plate number automatically. Moreover, when the traffic accident occurs from the Internet base which uses the PDA the driver traffic accident site data and driver human fact it will be able to transmit in the police station or the insurance company. From the simulation result, it confirms that when passage vehicle speed is low speed above 70% it will be able to recognize the license plate number.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.97-102
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• 2017

Recently deep learning techniques such as convolutional neural networks (CNN) have been introduced to classify high-resolution remote sensing data. In this paper, we investigated the possibility of applying CNN to crop classification of farmland images captured by drones. The farming area was divided into seven classes: rice field, sweet potato, red pepper, corn, sesame leaf, fruit tree, and vinyl greenhouse. We performed image pre-processing and normalization to apply CNN, and the accuracy of image classification was more than 98%. With the output of this study, it is expected that the transition from the existing image classification methods to the deep learning based image classification methods will be facilitated in a fast manner, and the possibility of success can be confirmed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.123-132
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• 2012

This paper presents a goal-oriented test data generation technique that specializes concolic testing. The proposed technique, referred to as GCT (Goal-oriented Concolic Testing) produces test inputs which execute a specific target. Concolic testing can be seen as the brute force approach to search the space of all possible paths until a required test input is found. In contrast, GCT restricts the number of program paths that are explored by using data flow information to identify statements that should be executed beforehand in order for the target to be executed. We conducted experiments to evaluate the performance of GCT with programs with flag variables to show its effectiveness.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.167-172
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• 2010

In this paper, we analyze and simulate the performance of a pilot signal detection algorithm based on fast Fourier transform (FFT) for several system parameters in order to detect advanced television system committee digital television (ATSC DTV) signals. Requirements for detecting DTV signals are analyzed. And the detection performance is compared according to sensing frequency and time. Form the simulation results, it is confirmed that the signal detection performance increases as the sensing frequency rises. The results of this paper can be applied for implementing cognitive radio (CR) systems in the frequency band of DTV signals.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.27-35
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• 2013

Recently, as Social Network Services(SNS) are becoming more popular, much research has been doing on analyzing public opinions from SNS. One of the most important tasks for solving such a problem is to separate opinion(subjective) documents from others(e.g. objective documents) in SNS. In this paper, we propose a new method of retrieving the opinion documents from Twitter. The reason why it is not easy to search or classify the opinion documents in Twitter is due to a lack of publicly available Twitter documents for training. To tackle the problem, at first, we build a machine-learned model for sentiment classification using the external documents similar to Twitter, and then modify the model to separate the opinion documents from Twitter. Experimental results show that proposed method can be applied successfully in opinion classification.