• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2615-2620
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• 2007

This paper describes on pressure drop in a circular pipe of refuse collecting system. The flow characteristics inside the circular pipe are analyzed by three-dimensional Navier-Stokes analysis. In numerical analysis, an organic waste is modeled using the data obtained by site survey. Pressure drop obtained by numerical simulation is compared to the value obtained by experimental measurements for the two kinds of pipe; straight and bended type. The pressure drop obtained by numerical simulation has a good agreement with that of experiments. It is noted that the accurate prediction of pressure drop in the waste pipe is very important to determine the performance of turbo blower used in making a suction pressure in the waste pipe. Especially, the pressure drop for an organic waste is analyzed according to the mass flow rate of waste.

• 환경영향평가
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• 제11권4호
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• pp.311-319
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• 2002

Procedures to establish well-balanced development and effectiveness of environmental impact assessment need include various stakeholder's participation in writing and reviewing document of environmental impact assessment, collecting public opinion, and post monitoring. Accordingly, to encourage effective and efficient collection of resident's opinion analyze present conditions and problems and suggest institutional and politic alternative proposals of it. This study resulted in following conclusions. In institutional aspects, (1) Proposal for drafting document of environmental impact assessment (2) Composition of committee for collecting and regulating stakeholder's opinion (3) Width of civil participation scale. In politic aspects, (1) Use of local community (2) Guide of local information from local society and environmental specialist (3) Understandable document and data of environmental impact assessment (4) Strength of roles and duties of local government.

• 한국기계가공학회지
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• 제10권6호
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• pp.122-127
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• 2011

In this study, it was compared collecting performance according to contact types between heatpipe and manifold of vacuum tube type solar collector. Between two types, direct contact type is better in collecting performance. On the other hand, Indirect type have advantage in maintenance. In the result of numerical analysis, As the temperature of heatpipe and flow rate of working fluid increased, difference of outlet mean temperature of two types became large. Also, it could be confirmed, as contact resistance between heatpipe and copper tube in indirect type increased, the difference increased too. Useful data in selection and design in vacuum tube type solar collector were proposed by the results of numerical analysis.

• International Journal of Railway
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• 제6권1호
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• pp.1-6
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• 2013

Electric railway system driving the electric cars using power from catenary has been secured by performance of stable tracking between pantograph and catenary. The performance of the power collecting of pantograph is the one of the most important skills for high-speed train speed. The first Korea high-speed train(KTX) is 20 cars in one train set. In the meantime, collecting capability of single pantograph collector at one train set was confirmed through evaluation of the performance and the stability test. However, more research is needed to build for a stable collecting capability of coupled Korea's KTX-II High-speed system which is developed in Korea. In this study, actual vehicle test of coupled KTXSanchon was made to analyzing the data presented by the dynamic nature of catenary and pantograph, and the interface characteristics.

• 한국조리학회지
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• 제23권6호
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• pp.1-11
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• 2017

The purpose of this study was to compare the cruise tours between China and U.S.A. through the semantic network analysis of big data by collecting online data with SCTM (Smart crawling & Text mining), a data collecting and processing program. The data analysis period was from January $1^{st}$, 2015 to August $15^{th}$, 2017, meanwhile, "cruise tour, china", "cruise tour, usa" were conducted to be as keywords to collet related data and packaged Netdraw along with UCINET 6.0 were utilized for data analysis. Currently, Chinese cruisers concern on the cruising destinations while American cruisers pay more attention on the onboard experience and cruising expenditure. After performing CONCOR (convergence of iterated correlation) analysis, for Chinese cruise tour, there were three clusters created with domestic destinations, international destinations and hospitality tourism. As for American cruise tour, four groups have been segmented with cruise expenditure, onboard experience, cruise brand and destinations. Since the cruise tourism of America was greatly developed, this study also was supposed to provide significant and social network-oriented suggestions for Chinese cruise tourism.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• 산업경영시스템학회지
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• 제46권4호
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• pp.173-180
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• 2023

Smart factory companies are installing various sensors in production facilities and collecting field data. However, there are relatively few companies that actively utilize collected data, academic research using field data is actively underway. This study seeks to develop a model that detects anomalies in the process by analyzing spindle power data from a company that processes shafts used in automobile throttle valves. Since the data collected during machining processing is time series data, the model was developed through unsupervised learning by applying the Holt Winters technique and various deep learning algorithms such as RNN, LSTM, GRU, BiRNN, BiLSTM, and BiGRU. To evaluate each model, the difference between predicted and actual values was compared using MSE and RMSE. The BiLSTM model showed the optimal results based on RMSE. In order to diagnose abnormalities in the developed model, the critical point was set using statistical techniques in consultation with experts in the field and verified. By collecting and preprocessing real-world data and developing a model, this study serves as a case study of utilizing time-series data in small and medium-sized enterprises.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.73-77
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• 2001

In this paper, we propose a virtual action system based on information agents, We call the system the MultiHammer, MultiHammer can be used for studying and analyzing online actions. MuiltiHammer provides functions of implement-ing a meta online action site and an experiment environ-ment. We have been using MultiHammer as an experiment as an experiment environment for BiddinBot. BiddingBot aims at assisting users to bid simultaneously in multiple online auctions. In order to bid simultaneously in multiple online auctions. In order to analyze the behavior of BiddngBot, we need to pur-chase a lot of items. It is hard for us to prepare a lot of fund to show usability and advantage of BiddingBot. MultiHam-mer enables us to effectively analyze the behavior of BiddingBot. MultiHammer consists of three types of agents for information collecting data storing and auctioning. Agents for information wrappers. To make agent work as wrarp-pers, we heed to realize software modules for each online action site. Implementing these modules reguires a lot of time and patience. To address this problem, we designed a support mechanism for developing the modules. Agents for data storing record the data gathered by agents for informa-tion collecting. Agents for auctioning provide online services using data recorded by agents for data storing. By recording the activities in auction sites. MultiHammer can recreate any situation and trace auction for experimentation, Users can participate in virtual using the same information in real online auctions. Users also participate in real auc-tions via wrapper agents for information collecting

• 한국정보통신학회논문지
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• 제14권4호
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• pp.909-916
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• 2010

유비쿼터스 컴퓨팅 환경에서 GIS 서비스는 모바일 기기를 이용하여 언제, 어디서나 시공간 데이터를 이용할 수 있는 특징이 있다. 또한 최신의 공간 데이터를 무선 네트워크를 이용하여 서버로부터 클라이언트는 업데이트를 제공받는다. 하지만 기존의 시스템은 실세계의 변화를 서버에서 일정 주기로 수집하기 때문에 사용자에게 최신 정보를 제공하는데 오랜 시간이 소요되는 단점이 있다. 이 논문에서는 기존의 문제점을 해결하기 위해 필드 업데이트를 지원하는 양방향 동기화 시스템을 제안한다. 제안하는 시스템은 모바일 기기를 이용하여 클라이언트에서 실세계의 변경된 사항을 수집하고, 수집된 데이터를 서버에 전송한다.

• 대한전자공학회논문지TE
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• 제39권1호
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• pp.77-82
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• 2002

침입 탐지 시스템은 침입 판정과 감사 데이터(audit data) 수집 분야에서 많은 연구가 진행되고 있다. 침입 판정은 주어진 일련의 행위들이 침입인지 아닌지를 정확히 판정해야 하고 감사 자료 수집에서는 침입판정에 필요한 데이터만을 정확히 수집하는 능력이 필요하다. 최근에 이러한 문제점을 해결하기 위해 규칙 기반 시스템과 신경망 등의 인공지능적인 방법들이 도입되고 있다. 그러나 이러한 방법들은 단일 호스트 구조로 되어있거나 변형된 새로운 침입 패턴이 발생했을 때 탐지하지 못하는 단점이 있다. 따라서, 본 논문에서는 분산된 이기종 간의 호스트에서 사용자의 행위를 추출하여 패턴을 검색, 예측할 수 있는 데이터 마이닝을 적용하여 실시간으로 침입을 탐지하는 방법을 제안하고자 한다.