• Title/Summary/Keyword: Information Poor

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Comparison of Multi-angle TerraSAR-X Staring Mode Image Registration Method through Coarse to Fine Step (Coarse to Fine 단계를 통한 TerraSAR-X Staring Mode 다중 관측각 영상 정합기법 비교 분석)

  • Lee, Dongjun;Kim, Sang-Wan
    • Korean Journal of Remote Sensing
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    • v.37 no.3
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    • pp.475-491
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    • 2021
  • With the recent increase in available high-resolution (< ~1 m) satellite SAR images, the demand for precise registration of SAR images is increasing in various fields including change detection. The registration between high-resolution SAR images acquired in different look angle is difficult due to speckle noise and geometric distortion caused by the characteristics of SAR images. In this study, registration is performed in two stages, coarse and fine, using the x-band SAR data imaged at staring spotlight mode of TerraSAR-X. For the coarse registration, a method combining the adaptive sampling method and SAR-SIFT (Scale Invariant Feature Transform) is applied, and three rigid methods (NCC: Normalized Cross Correlation, Phase Congruency-NCC, MI: Mutual Information) and one non-rigid (Gefolki: Geoscience extended Flow Optical Flow Lucas-Kanade Iterative), for the fine registration stage, was performed for performance comparison. The results were compared by using RMSE (Root Mean Square Error) and FSIM (Feature Similarity) index, and all rigid models showed poor results in all image combinations. It is confirmed that the rigid models have a large registration error in the rugged terrain area. As a result of applying the Gefolki algorithm, it was confirmed that the RMSE of Gefolki showed the best result as a 1~3 pixels, and the FSIM index also obtained a higher value than 0.02~0.03 compared to other rigid methods. It was confirmed that the mis-registration due to terrain effect could be sufficiently reduced by the Gefolki algorithm.

Modern Pentathlon's Sports Spirit and A Study on Leader's Ethical Exploration

  • Han, Doryung
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.119-126
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    • 2021
  • The modern pentathlon is an exercise in which people and people compete, as well as exercise without equipment, exercise using equipment, and exercise with animals, and it is an exercise that includes static and dynamic exercise. The ethical issues of modern pentathlon athletes are also related to the poor environment and economic reasons, and the athlete's ethical awareness, attitude, and spirit have a great influence on the athlete's mental environment. In this study, the direction of improvement of ethical problems, which are different as important issues in modern sports, was examined, and qualitative research methods were applied to explore the sports spirit and ethics of the modern pentathlon. Correct sports should not deviate from the intended purpose of the exercise or cause or force the athlete to suffer physical or mental pain. In sports, compensatoryism can be a direct cause of improved performance or record-breaking, but sometimes it can also cause distorted athletes. Air doping has ethical issues that can cause controversy over the health or fairness of athletes, mental and physical damage to athletes, and harm. Responsibilities and ethical issues of athletes who take prohibited substances or leaders or supervisors who neglect or encourage them should be treated as very important matters. In the sports field, the reward system that is subordinate to the athlete's or leader's performance is related to the athlete's or leader's livelihood. For a fair and just game progression, it is necessary to break away from the development of athletes who are only focused on performance. The problem of Unethical issues must be overcome by emphasizing the restoration of ethics that are reasonably recognized in ideology and logic.

A Study on Reinforcement of Fire Safety in Residential Spaces of Low-Income Classes (저소득계층 주거 공간 화재안전성 강화를 위한 연구)

  • Park, Nam-Kwon
    • Journal of the Society of Disaster Information
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    • v.17 no.4
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    • pp.882-889
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    • 2021
  • Purpose: The purpose of this study was to improve fire safety in Gosiwon, a residential space for the low-income class. Method: Problems appearing in the process of fire occurrence and damage were verified once again. In addition, we would like to suggest improvement measures through systematic discussions on blind spots. Results: As a result of examining the risk of cool fire, the causes of fire occurred in various ways. In addition, the possibility of radiant heat due to heat accumulation due to narrow rooms inside the Gosiwon was high. Also, it was found that the possibility of fire spread was high due to clothing and household goods. It was reconfirmed that the poor internal structure of a narrow indoor space had a significant effect on the spread of fire and the scale of damage as it tried to accommodate as many people as possible inside. Conclusion: It is necessary to complete the installation as soon as possible for Gosiwon where the simple sprinkler is not installed. For this, a stronger driving force from the government and local governments is needed. In addition, it will be necessary to discuss how to improve the spatial and structural fire vulnerabilities that appear due to the structural characteristics of the Gosiwon.

A Deep Learning Method for Cost-Effective Feed Weight Prediction of Automatic Feeder for Companion Animals (반려동물용 자동 사료급식기의 비용효율적 사료 중량 예측을 위한 딥러닝 방법)

  • Kim, Hoejung;Jeon, Yejin;Yi, Seunghyun;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.263-278
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    • 2022
  • With the recent advent of IoT technology, automatic pet feeders are being distributed so that owners can feed their companion animals while they are out. However, due to behaviors of pets, the method of measuring weight, which is important in automatic feeding, can be easily damaged and broken when using the scale. The 3D camera method has disadvantages due to its cost, and the 2D camera method has relatively poor accuracy when compared to 3D camera method. Hence, the purpose of this study is to propose a deep learning approach that can accurately estimate weight while simply using a 2D camera. For this, various convolutional neural networks were used, and among them, the ResNet101-based model showed the best performance: an average absolute error of 3.06 grams and an average absolute ratio error of 3.40%, which could be used commercially in terms of technical and financial viability. The result of this study can be useful for the practitioners to predict the weight of a standardized object such as feed only through an easy 2D image.

Analysis of public opinion in the 20th presidential election using YouTube data (유튜브 데이터를 활용한 20대 대선 여론분석)

  • Kang, Eunkyung;Yang, Seonuk;Kwon, Jiyoon;Yang, Sung-Byung
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.161-183
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    • 2022
  • Opinion polls have become a powerful means for election campaigns and one of the most important subjects in the media in that they predict the actual election results and influence people's voting behavior. However, the more active the polls, the more often they fail to properly reflect the voters' minds in measuring the effectiveness of election campaigns, such as repeatedly conducting polls on the likelihood of winning or support rather than verifying the pledges and policies of candidates. Even if the poor predictions of the election results of the polls have undermined the authority of the press, people cannot easily let go of their interest in polls because there is no clear alternative to answer the instinctive question of which candidate will ultimately win. In this regard, we attempt to retrospectively grasp public opinion on the 20th presidential election by applying the 'YouTube Analysis' function of Sometrend, which provides an environment for discovering insights through online big data. Through this study, it is confirmed that a result close to the actual public opinion (or opinion poll results) can be easily derived with simple YouTube data results, and a high-performance public opinion prediction model can be built.

A Study on the Development of Feasibility Evaluation Model for Establishment of Public Libraries (공공도서관 설립 사전 타당성 평가모형 개발 연구)

  • Sin-Young, Kim;Hee-Yoon, Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.4
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    • pp.101-127
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    • 2022
  • Article 31(1) of the Libraries Act(Act No. 18547), which was completely revised on December 7, 2021, stipulates that "the head of a local government or the superintendent of a city/provincial office of education must formulate a plan for the establishment and operation of a public library in advance and obtain the pre-evaluation of the feasibility of establishing a public library from the Minister of Culture, Sports and Tourism." Through the preliminary feasibility evaluation at the construction stage of the public library, it is possible to adjust distribution to improve the adequacy of scale and resolve regional imbalances and gaps. In addition, it is expected to increase service satisfaction and operational enhancement by inducing faithful securing of core infrastructure (librarians, collection, facilities, systems, etc.) in terms of balanced regional development and public library construction. The purpose of this study is to develop and present the basic direction and feasibility evaluation model for establishment of public libraries. The proposed evaluation model is expected to secure the legal basis and institutional legitimacy of the pre-evaluation system for public library establishment and to prevent waste of tax due to poor construction and operation of public libraries.

A Study on the Educational Gap between Regions according to the Manpower Allocation under the 「School Library Promotion Act」 (「학교도서관진흥법」 규정 인력 배치에 따른 지역 간 교육격차에 관한 연구)

  • Bong-Suk Kang
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.231-248
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    • 2023
  • The purpose of this study is to trigger a discussion on the educational gap between regions in school library resources. To this end, differences and correlations between other resources invested in the school library and output results were analyzed according to manpower allocation. There was a positive correlation between the number of books, the budget, the number of seats, the number of borrowed materials, and the number of students. It was analyzed that manpower allocation had a negative correlation with the number of subjects in which the ratio of students, the lowest grade in the achievement evaluation, was more than 1/2. As a result of examining the staffing according to the 「School Library Promotion Act」 by regional characteristics, it was found that the allocation rate was statistically significantly higher in the order of metropolitan area, and provincial unit. Depending on the regional characteristics, there were differences in net asset per household as well as differences in school library manpower assignment rates. In contrast, the large cities with relatively affluent school library manpower assignment rates were found to be higher. Therefore, based on the survey contents of this study, it was emphasized that the manpower stipulated in the 「School Library Promotion Act」 should be deployed as soon as possible even in relatively poor areas to bridge the educational gap between regions.

Applying an Aggregate Function AVG to OLAP Cubes (OLAP 큐브에서의 집계함수 AVG의 적용)

  • Lee, Seung-Hyun;Lee, Duck-Sung;Choi, In-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.1
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    • pp.217-228
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    • 2009
  • Data analysis applications typically aggregate data across many dimensions looking for unusual patterns in data. Even though such applications are usually possible with standard structured query language (SQL) queries, the queries may become very complex. A complex query may result in many scans of the base table, leading to poor performance. Because online analytical processing (OLAP) queries are usually complex, it is desired to define a new operator for aggregation, called the data cube or simply cube. Data cube supports OLAP tasks like aggregation and sub-totals. Many aggregate functions can be used to construct a data cube. Those functions can be classified into three categories, the distributive, the algebraic, and the holistic. It has been thought that the distributive functions such as SUM, COUNT, MAX, and MIN can be used to construct a data cube, and also the algebraic function such as AVG can be used if the function is replaced to an intermediate function. It is believed that even though AVG is not distributive, but the intermediate function (SUM, COUNT) is distributive, and AVG can certainly be computed from (SUM, COUNT). In this paper, however, it is found that the intermediate function (SUM COUNT) cannot be applied to OLAP cubes, and consequently the function leads to erroneous conclusions and decisions. The objective of this study is to identify some problems in applying aggregate function AVG to OLAP cubes, and to design a process for solving these problems.

Current Situation and Future Tasks for Young Adult in Public Libraries-with a special reference to Busan·Ulsan·Gyeongnam (공공도서관 청소년 서비스의 현황과 과제 - 부산·울산·경남지역을 중심으로 -)

  • Lee, Jin-Hwa;Kang, Eun-Yeong
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.1
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    • pp.95-122
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    • 2022
  • This study aims to investigate the current status of young adult services centering on public libraries in Busan, Ulsan and Gyeongnam, identify problems, and then suggest tasks for service revitalization. The status of young adult services and librarians' perceptions in the 93 public libraries in Busan, Ulsan, and Gyeongnam that were registered in the 2021 National Library Statistics System and the Busan Metropolitan City Library Portal was investigated. As a result of the survey, 24% of public libraries have a space for young adult, and if there is dedicated space, it was found that the most number of bookshelves for young adult were installed inside the space. Libraries that provide young adult services accounted for 76% of the total, and the age range of the service targets was set between 13 and 18 years of age. The analysis revealed that it was difficult to provide services due to a combination of problems such as poor use and passive participation by young adult, lack of dedicated space, lack of manpower for program operation, and lack of budget. Nevertheless, most librarians agreed on the need to provide young adult-only spaces and young adult services. The tasks to revitalize young adult services in public libraries was suggested; expand young adult participation in the space creation and service planning/operation stage, create a space dedicated to young adult, diversify the contents of youth volunteer activities, secure the professionalism of the librarian in charge, human resource utilization, and expand public relations for services.

Determinants of U.S. Buyer Loyalty toward Gobizkorea.com: A Study Focused on Country Image, E-Service Quality, and Satisfaction (미국 바이어의 고비즈코리아에 대한 충성도 결정요인: 국가이미지, 서비스 품질 및 만족도를 중심으로)

  • Chung, Jae-Eun;Oh, Jeong Suk;Jeong, So Won
    • Korea Trade Review
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    • v.43 no.5
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    • pp.203-232
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    • 2018
  • Gobizkorea is an online B2B matching platform operated by the Small & Medium Business Corporation. Gobizkorea provides an opportunity for resource-poor SMEs to promote their products and exploit new market opportunities at low cost. The successful operation of Gobizkorea will contribute to the increased exports of Korean SMEs. Accordingly, the present study examined determinants of foreign buyer loyalty toward Gobizkorea.com focusing on country image, e-service quality, and satisfaction. One hundred two survey questionnaires were collected from U.S. buyers registered with Gobizkorea.com. Exploratory and confirmatory factor analysis confirmed three dimensions of e-service quality including information & efficiency, reliability & privacy, and prompt communication & delivery. The path analysis results showed that the country image of Korea significantly and positively affected these three dimensions of e-service quality. Information & efficiency and reliability & privacy positively influenced buyer satisfaction. Reliability & privacy and satisfaction had a positive impact on buyer loyalty. This study enhances the understanding of the foreign buyers use of the domestic e-market platform by examining of determinants of U.S. buyer loyalty toward Gobizkorea.