• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.37-44
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• 2021

Automatic classification of brain MRI images play an important role in early diagnosis of brain tumors. In this work, we present a deep learning-based brain tumor classification model in MRI images using ensemble of deep features. In our proposed framework, three different deep features from brain MR image are extracted using three different pre-trained models. After that, the extracted deep features are fed to the classification module. In the classification module, the three different deep features are first fed into the fully-connected layers individually to reduce the dimension of the features. After that, the output features from the fully-connected layers are concatenated and fed into the fully-connected layer to predict the final output. To evaluate our proposed model, we use openly accessible brain MRI dataset from web. Experimental results show that our proposed model outperforms other machine learning-based models.

• The Korean Journal of Franchise Management
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• v.1 no.1
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• pp.105-131
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• 2010

This practical study is to propose a model for efficiently implementing franchise management by Franchise Enterprise in franchise industry. Franchise system is established and mutual relationship is also fulfilled based on bilateral contract between franchisor and franchisee. After contract and opening the franchisee store, franchisees are continually supervised and administered according to mutually agreed process and procedures. In this regard, franchisor should have well-managed system for supervising and assisting franchisee efficiently and effectively. The purpose of this study is to set-up the concept of enterprise contract management(ECM) in Franchise Enterprise and to promote the systemization of franchise management, and also to present and propose the development tool for franchise-specific IT program which is called " Franchise Contract Management'Supervising System".

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.1-12
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• 2024

Predicting path loss is one of the important factors for wireless network design, such as selecting the installation location of base stations in cellular networks. In the past, path loss values were measured through numerous field tests to determine the optimal installation location of the base station, which has the disadvantage of taking a lot of time to measure. To solve this problem, in this study, we propose a path loss prediction method based on machine learning (ML). In particular, an ensemble learning approach is applied to improve the path loss prediction performance. Bootstrap dataset was utilized to obtain models with different hyperparameter configurations, and the final model was built by ensembling these models. We evaluated and compared the performance of the proposed ensemble-based path loss prediction method with various ML-based methods using publicly available path loss datasets. The experimental results show that the proposed method outperforms the existing methods and can predict the path loss values accurately.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.205-214
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• 2012

IDPF, which builds formats and copyright protection standards of eBooks, has announced ePUB 3.0 as a technical standard of eBooks in October, 2011. This standard includes methods how to represent eBooks and technical specifications to protect eBook content. While technical specifications for content protection describe how to represent encryption and digital signature techniques, they do not identify any technical standards for rights expression but just file names for storages of rights information. It does not provide any unification of copyright information representation and formats used by eBook service companies. When copyright protection techniques for eBooks are used, comparability among eBook readers cannot be expected, even though there is a standard of ePUB. This study suggests a method to maintain compatibility toward eBook DRM by using unified rights information process under circumstances where different eBook service companies use diverse methods. The standard reference software of the model proposed in this study, together with other results of this study, will be offered as a registered open software.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.1
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• pp.1-10
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• 2019

In terms of realizing the future e-government such as intelligent government, this paper attempts to provide an earnest and insightful reflection and suggests desirable strategies with regard to the four different crucial elements including electronic voting, electronic contract, resident registration/electronic document management, and real-estate registration as an operating strategy of intelligent government and the fourth industrial revolution regarding. The 4th industrial revolution is aimed at concentrating information or data characterized with sharing, opening, communicating and releasing in cloud computing system, analyzing big data, collecting information, and flourishing people's well-being by information and communications technology with utilizing the smart devices. Therefore, reliability of the pivotal information or data is critical and it is important for the participants being transparently shared, without the data or information being forged. In this respect, introduction or application of block chain technology is essential. This paper will review preceding studies, discuss the aspect of the 4th industrial revolution and intelligent government, then suggest operating strategies in the field of electronic voting, electronic contract, management of resident registration and electronic document and real-estate registration.

• Journal of Environmental Impact Assessment
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• v.32 no.4
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• pp.203-213
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• 2023

The AERMOD model was the most used, accounting for 89.0%, based on the analysis of the environmental impact assessment reports published in the Environmental Impact Assessment Information Support System (EIASS) between 2021 and 2022. The mismatch of versions between AERMET and AERMOD was found to be 25.3%. There was the operational time discrepancy of 50.6% from industrial complexes, urban development projects between used in the model and applied in estimating pollutant emissions. The results of applying various versions of the AERMET and AERMOD models to both area sources and point sources in both simple and complex terrain in the Gunsan area showed similar values after AERMOD version 12 (15181). Emissions are assessed as 24-hour operation, and the predicted concentration in both simple and complex terrain when using the variable emission coefficient option that applies an 8-hour daytime operation in the model is lowered by 37.42% ~ 74.27% for area sources and by 32.06% ~ 54.45% for point sources. Therefore, to prevent the error in using the variable emission coefficient, it is required to clearly present the emission calculation process and provide a detailed explanation of the composition of modeling input data in the environmental impact assessment reports. Also, thorough reviews by special institutions are essential.

• Clean Technology
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• v.26 no.3
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• pp.228-236
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• 2020

Korea has an economy based on manufacturing industrial fields, which produce high amounts of hazardous wastes, in spite of few landfill candidates, and a significant concern for fine airborne particulates; therefore, traditional waste management is difficult to apply in this country. Moreover, waste collection and accumulation have recently been intensified by the waste import prohibitions or regulations in developing nations, the universalization of delivery services in Korea, and the global COVID-19 crisis. This study thus presents a domestic waste management strategy that aims to address the recent issues on waste. The contents of the strategy as the main results of the study include the (1) improvement of the compatibility of the classification codes between the domestic hazardous waste and the international ones such as those of the Basel Convention; (2) consideration of the mixed hazard indices to represent toxicity from low-content components such as rare earth metals often contained in electrical and electronic equipment waste; (3) management application based on risks throughout the life cycles of waste; (4) establishment of detailed material flow information of waste by integrating the Albaro system, Pollutant Release and Transfer Register (PRTR) system, and online trade databases; (5) real-time monitoring and prediction of the waste movement or discharge using positional sensors and geographic information systems, among others; and (6) selection and implementation of optimal treatment or recycling practices through Life Cycle Assessment (LCA) and clean technologies.

• Proceedings of the ESK Conference
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• 1993.10a
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• pp.65-75
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• 1993

원자력발전소에서 발생하는 고장정지 사건에 내포된 인적오류의 발생내용을 흥미있고 현장감 있게 묘사시킴과 동시에 종사원들의 인적오류를 저감시키기 위한 새로운 교육훈련방 법으로써 멀티미디어 기술의 사용을 고려하였다. 즉, 컴퓨터 환경하에서 숫자와 텍스트, 음 향 및 음성, 그래픽, 애니메이션, 화상 등의 미디어를 사용하여 인적오류로 인한 고장정지 사건발생의 내용을 전달하는 새로운 교육훈련 방법을 사용하는 것이다. 이를 위하여 고장정 지 사건과 관련한 원자력발전소 구성정보와 종사원의 활동정보를 입출력하기 위한 멀티미디어 인터페이스를 설계하였다. 설계는 멀티미디어 제공환경 구축과 인터페이스 운영논리 설정의 두단계로 구성한 절차에 따라 수행하였다. 멀티미디어 인터페이스는 원자력발전소 구성정보를 설계하여 저장시켜둔 퍼스널 컴퓨터 환경하에서 운영되며, 입력 및 출력의 두가지 인터페이스 를 갖는다. 입력 인터페이스는 인적 오류를 포함한 고장정지 사건의 발생내용을 숫자, 텍스트, 음성 미디어로 받아들여 출력 인터페이스에서 사용될 수 있도록 미디어 결합을 수행하고, 컴퓨터 저장장치에 저장하는 기능을 수행한다. 출력 인터페이스는 저장장치에 기록된 내용을 판독하여 고장정지의 진행경위와 인적오류의 발생내용을 숫자, 문자, 텍스트, 음성, 음향, 그래픽 애니메 이션, 정지화상으로 원자력발전소 종사원들에게 출력시켜 주는 기능을 수행한다. 멀티미디어 출력정보는 사용자가 CRT 화면에 제공되는 버튼 또는 Click Touch 메뉴를 사용함에 따라 이전, 이후의 출력정보로 전이할 수 있도록 하였다.상대적으로 중요한 검사 항목으로 나타났다. 또한 상대적 중요도 결과를 적용한 적성검사 성적이 적용하지 않은 적성검사 성적에 비해 비행성적에 대한 예측 능력이 좋은 것으로 평가되었다.al age)가 있다는 것을 의미하는 것이다. 한편, 생산현장에서는 자동화, 기계화가 진보되어 육체적인 노동이 경감된 결과, 중고령자라도 할 수 있는 작업이 많아지고 있다. 또, VDT (Visual Dislay Terminal) 작업과 같은 정보처리 작업의 수요가 증가하여 그 인재의 부족이 지적되고 있다. 따라서 중고령자의 기능을 조사하여 어떠한 작업에 적합한가를 판단하는 것이 중요한 과제로 되었다. 그러나 노동에는 많은 기능이 관여 하고, 그 내용에 따라서 요구되는 기능이 서로 다르기 때문에 노동적응능력의 기본적인 기능으로 보여지는 것에 좁혀서 작업능력의 연령증가 변화에 대하여다원적 평가를 하는 것이 실제적이라고 할 수 있다. 따라서 본 연구에서는 인간이 가지고 있는 다수의 기능중에서 수지교 치성과 연령증가와의 관계를 조사한다. 만약 연령증가 만으로 수지교치성을 평가 할 수 없는 경우에는 어떠한 요인이 수지기민성의 변화에 영향을 미치는가를 검토한다.t list)에서 자동적으로 사건들의 순서가 결정되도록 확장하였으며, 설비 제어방식에 있어서도 FIFO, LIFO, 우선 순위 방식등을 선택할 수 있도록 확장하였다. SIMPLE는 자료구조 및 프로그램이 공개되어 있으므로 프로그래머가 원하는 기능을 쉽게 추가할 수 있는 장점도 있다. 아울러 SMPLE에서 새로이 추가된 자료구조와 함수 및 설비제어 방식등

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.153-174
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• 2019

This study was conducted to find out basic facts on educational resources in Korea and see how educators have managed their tasks without educational resource archives. The research had the following steps: 1) finding out how the current state of primary and secondary education resources is managed and type of educational resources via Web search and literature review, 2) conducting a survey to determine archiving priorities according to the value of resources to the users, and 3) engaging in a discussion with experts on merits of establishing an educational resource archive system. Due to sporadic management and restricted use of educational resources produced in Korea, the primary and secondary education resources are not easily available to the public even though the public and private sectors produce significant amount of resources. The survey result on preferred educational resource types for archiving showed the following top three: 1) actual case studies conducted in the field, 2) curriculum related resources, and 3) various textbooks adopted. Considering the value of educational resources and the necessity of archiving agencies, the experts recommended to set up a national archiving system of educational resources. This study hopes to raise awareness of the need to set up educational resource archives as a start.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.305-313
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• 2018

Public open data is a database or electronic file produced by a public agency or government. The government is opening public data through the open data portals and individual agency websites. However, it is a reality that there is a limit to search and utilize desired public data from the perspective of data users. In particular, it takes a great deal of effort and time to understand the characteristics of data sets and to combine different data sets. This study suggests the possibility of interlinking between data sets by analyzing the common relationship of item names held by public data. The data sets are collected from the open data portal, and item names included in the data sets are extracted. The extracted item names consist of formal context and formal concept through formal concept analysis. The format concept has a list of data sets and a set of item name as extent and intent, respectively, and analyzes the common items of intent end to determine the possibility of data connection. The results derived from the formal concept analysis can be effectively applied to the semantic connection of the public data, and can be applied to data standard and quality improvement for public data release.