• Title/Summary/Keyword: inflow route analysis

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Analysis of Users' Inflow Route and Search Terms of the Korea National Archives' Web Site (국가기록원 웹사이트 유입경로와 이용자 검색어 분석)

  • Jin, Ju Yeong;Rieh, Hae-young
    • Journal of the Korean Society for information Management
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    • v.35 no.1
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    • pp.183-203
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    • 2018
  • As the users' information use environment changes to the Web, the archives are providing more services on the Web than before. This study analyzes the users' recent inflow route and the highly ranked 100 search terms of each month for 10 and half years in the Web site of National Archives of Korea, and suggests suitable information services. As a result of the analysis, it was found out that the inflow route could be divided into access from portal site, by country, from related institutions, and via mobile platform. As a result of analyzing the search terms of users for the last 10 and half years, the most frequently searched term turned out to be 'Land Survey Register', which was also the search term that was searched for with steady interests for 10 and half years. Also, other government documents or official gazettes were of great interests to users. As results of identifying the most frequently searched and steadily searched terms, we were able to categorize the search terms largely in terms of land, Japanese colonial period, the Korean war and relationship of North Korea and South Korea, and records management and use. Based on the results of the analysis, we suggested strengthening connection of the National Archives Web site with portal sites and mobile, and upgrading and improving search services of the National Archives. This study confirmed that the analysis of Web log and user search terms would yield meaningful results that could enhance the user services in archives.

Analysis of Jeju Public Transit System Reorganization Effect Based on Accessibility of Public Transit Networks - Considering the Temporal Variability of Public Transit Travel Time - (대중교통 네트워크 중심의 접근성을 기준으로 한 제주도 대중교통 개편 효과 분석 - 대중교통 통행시간의 시간적 변동을 고려하여 -)

  • Sim, Jae-Woong;Cho, Gi-Hyoug
    • Journal of Korea Planning Association
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    • v.54 no.6
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    • pp.68-79
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    • 2019
  • The purpose of this study is to propose a transit accessibility analysis method based on temporal variability of travel time. In this study, transit accessibility was defined in three levels (in transit route, spot and region unit) to present findings from different spatial scopes. Recently, Jeju special self-governing province reorganized bus system of the island. To compare transit accessibility before and after transit policy implementation, the reorganized bus system of Jeju special self-governing province was selected as a case study. This study used General Transit Feed Specification (GTFS) data format as storage public transit information, and calculated travel time using ArcGIS GTFS networks analysis tools. In the analysis of individual transit route level, we found the 3 types of accessibility changes which is increments, no significant changes and reductions and these results come from transit route change (number of transfer, distance change) rather than changes of vehicle interval. We found increases of inflow and outflow speed in most target spots and overall transit accessibility has been substantially improved in Jeju island. This study implies that accounting for temporal variability of travel time in accessibility analysis can result in more useful and sophisticated accessibility information in decision-making processes.

A Study on the Analysis of Regional Tourism in Uijeongbu Using Big Data (빅 데이터를 활용한 의정부 지역 관광 분석 연구)

  • Lee, Jong-Yong;Jung, Kye-Dong;Ryu, Ki-hwan;Park, SeaYoung
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.413-418
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    • 2020
  • The travel pattern of tourists for the development of the tourist course is designed to collect and analyze tourist information based on the big data of the carrier to improve the quality of the tourist course. In particular, the analyzed data is used to derive empirical data that can estimate the effect of tourists' inflow into tourism, and to utilize the information as basic data for the development of the tourist course. In addition, the travel pattern of tourists for the development of regional tourism courses is to collect and analyze information on the route and duration of tourists' travel based on big data collected by telecom operators, credit card companies and other data to improve the quality of tourist course development, and to derive empirical data to estimate the effect of tourist inflow through the analyzed data, based on the characteristics of the tourism course and the data needed for the development of new tourist courses in the future.

A study for Information Security Risk Assessment Methodology Improvement by blockade and security system level assessment (봉쇄와 보안장비 수준평가를 통한 정보보호 위험평가 개선 연구)

  • Han, Choong-Hee;Han, ChangHee
    • Convergence Security Journal
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    • v.20 no.4
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    • pp.187-196
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    • 2020
  • In order to manage information security risk, various information security level evaluation and information security management system certification have been conducted on a larger scale than ever. However, there are continuous cases of infringement of information protection for companies with excellent information security evaluation and companies with excellent information security management system certification. The existing information security risk management methodology identifies and analyzes risks by identifying information assets inside the information system. Existing information security risk management methodology lacks a review of where cyber threats come from and whether security devices are properly operated for each route. In order to improve the current risk management plan, it is necessary to look at where cyber threats come from and improve the containment level for each inflow section to absolutely reduce unnecessary cyber threats. In addition, it is essential to measure and improve the appropriate configuration and operational level of security equipment that is currently overlooked in the risk management methodology. It is necessary to block and enter cyber threats as much as possible, and to detect and respond to cyber threats that inevitably pass through open niches and use security devices. Therefore, this paper proposes additional evaluation items for evaluating the containment level against cyber threats in the ISMS-P authentication items and vulnerability analysis and evaluation items for major information and communication infrastructures, and evaluates the level of security equipment configuration for each inflow.

Probabilistic Medium- and Long-Term Reservoir Inflow Forecasts (I) Long-Term Runoff Analysis (확률론적 중장기 댐 유입량 예측 (I) 장기유출 해석)

  • Bae, Deg-Hyo;Kim, Jin-Hoon
    • Journal of Korea Water Resources Association
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    • v.39 no.3 s.164
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    • pp.261-274
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    • 2006
  • This study performs a daily long-term runoff analysis for 30 years to forecast medium- and long-term probabilistic reservoir inflows on the Soyang River basin. Snowmelt is computed by Anderson's temperature index snowmelt model and potenetial evaporation is estimated by Penman-combination method to produce input data for a rainfall-runoff model. A semi-distributed TOPMODEL which is composed of hydrologic rainfall-runoff process on the headwater-catchment scale based on the original TOPMODEL and a hydraulic flow routing model to route the catchment outflows using by kinematic wave scheme is used in this study It can be observed that the time variations of the computed snowmelt and potential evaporation are well agreed with indirect observed data such as maximum snow depth and small pan evaporation. Model parameters are calibrated with low-flow(1979), medium-flow(1999), and high-flow(1990) rainfall-runoff events. In the model evaluation, relative volumetric error and correlation coefficient between observed and computed flows are computed to 5.64% and 0.91, respectively. Also, the relative volumetric errors decrease to 17% and 4% during March and April with or without the snowmelt model. It is concluded that the semi-distributed TOPMODEL has well performance and the snowmelt effects for the long-term runoff computation are important on the study area.