• Title/Summary/Keyword: Discovering Problems

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Discovering Temporal Relation Rules from Temporal Interval Data (시간간격을 고려한 시간관계 규칙 탐사 기법)

  • Lee, Yong-Joon;Seo, Sung-Bo;Ryu, Keun-Ho;Kim, Hye-Kyu
    • Journal of KIISE:Databases
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    • v.28 no.3
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    • pp.301-314
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    • 2001
  • Data mining refers to a set of techniques for discovering implicit and useful knowledge from large database. Many studies on data mining have been pursued and some of them have involved issues of temporal data mining for discovering knowledge from temporal database, such as sequential pattern, similar time sequence, cyclic and temporal association rules, etc. However, all of the works treat problems for discovering temporal pattern from data which are stamped with time points and do not consider problems for discovering knowledge from temporal interval data. For example, there are many examples of temporal interval data that it can discover useful knowledge from. These include patient histories, purchaser histories, web log, and so on. Allen introduces relationships between intervals and operators for reasoning about relations between intervals. We present a new data mining technique that can discover temporal relation rules in temporal interval data by using the Allen's theory. In this paper, we present two new algorithms for discovering algorithm for generating temporal relation rules, discovers rules from temporal interval data. This technique can discover more useful knowledge in compared with conventional data mining techniques.

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Problem Development for PBL-based English Science Classes in Elementary Schools (초등학교에서 PBL 기반 영어과학수업을 위한 문제 개발 연구)

  • Park, In-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.4
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    • pp.33-38
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    • 2020
  • Problem development is important to Problem-Based Learning (PBL) and is key to the creativity and problem-solving skills of successful learners. The purpose of this study is to have PBL classes that effectively materialize problem development stages, and to develop learning using problems suitable for elementary school English Science classes. In this study, the steps for developing the problems are identifying educational content, identifying learners' characteristics, discovering problems, setting up roles and situations, and writing problems. Based on these steps, five PBL problems were developed by selecting a subject suitable for the PBL method of an English Science class, which is one of the English curriculums in elementary schools. Creative thinking, problem-solving skills, presentation skills, confidence, self-directed learning, cooperation, and communication skills are required in the rapidly changing society of the 21st century, rather than teacher-centered instruction, acquiring knowledge for correct answers only, and uniform assessments, which still take place in many English education settings. Therefore, developing problems suitable for PBL learning should be continuously studied.

Temporal Associative Classification based on Calendar Patterns (캘린더 패턴 기반의 시간 연관적 분류 기법)

  • Lee Heon Gyu;Noh Gi Young;Seo Sungbo;Ryu Keun Ho
    • Journal of KIISE:Databases
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    • v.32 no.6
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    • pp.567-584
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    • 2005
  • Temporal data mining, the incorporation of temporal semantics to existing data mining techniques, refers to a set of techniques for discovering implicit and useful temporal knowledge from temporal data. Association rules and classification are applied to various applications which are the typical data mining problems. However, these approaches do not consider temporal attribute and have been pursued for discovering knowledge from static data although a large proportion of data contains temporal dimension. Also, data mining researches from temporal data treat problems for discovering knowledge from data stamped with time point and adding time constraint. Therefore, these do not consider temporal semantics and temporal relationships containing data. This paper suggests that temporal associative classification technique based on temporal class association rules. This temporal classification applies rules discovered by temporal class association rules which extends existing associative classification by containing temporal dimension for generating temporal classification rules. Therefore, this technique can discover more useful knowledge in compared with typical classification techniques.

A Quarter a Century of Discovering and Inspiring Young Gifted Mathematicians: All the Best from Colorado Mathematical Olympiad

  • Soifer, Alexander
    • Research in Mathematical Education
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    • v.12 no.4
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    • pp.271-281
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    • 2008
  • Quarter a century ago, I founded the Colorado Mathematical Olympiad. The Colorado Mathematical Olympiad is the largest essay-type in-person mathematical competition in the United States, with 600 to 1,000 participants competing annually for prizes. In this article, I explain what it is, how it works, give examples of problems and solutions, and share with the reader careers of some of the Olympiad's winners.

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A Clustering Scheme for Discovering Congested Routes on Road Networks

  • Li, He;Bok, Kyoung Soo;Lim, Jong Tae;Lee, Byoung Yup;Yoo, Jae Soo
    • Journal of Electrical Engineering and Technology
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    • v.10 no.4
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    • pp.1836-1842
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    • 2015
  • On road networks, the clustering of moving objects is important for traffic monitoring and routes recommendation. The existing schemes find out density route by considering the number of vehicles in a road segment. Since they don’t consider the features of each road segment such as width, length, and directions in a road network, the results are not correct in some real road networks. To overcome such problems, we propose a clustering method for congested routes discovering from the trajectories of moving objects on road networks. The proposed scheme can be divided into three steps. First, it divides each road network into segments with different width, length, and directions. Second, the congested road segments are detected through analyzing the trajectories of moving objects on the road network. The saturation degree of each road segment and the average moving speed of vehicles in a road segment are computed to detect the congested road segments. Finally, we compute the final congested routes by using a clustering scheme. The experimental results showed that the proposed scheme can efficiently discover the congested routes in different directions of the roads.

A Study on Convergence Education of IT & Design for Training Creative Talent (창의적 인재 양성을 위한 IT & 디자인 분야의 융합 교육 연구)

  • Kwon, Hyo-Jeong
    • Journal of Korea Multimedia Society
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    • v.17 no.11
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    • pp.1354-1362
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    • 2014
  • In order to solve the complicated problems faced by the spread of diversified information devices and changes in the user environment in recent years, the importance of training creative talent as well as the need for interdisciplinary convergent approach have emerged. As a future technology development project, convergence education with the design sector for training creative talent in the IT field is also urgent. In this study, we recognized the importance and problems of the convergent approach between IT and design sector by examining the convergence theory and cases with a focus on effective creativity development and sought a new direction for convergence education in the future by investigating the awareness on the convergent approach of college students and analyzing the results. This will be able to have significance as a basic study for discovering creative and innovative convergent talent in the IT and design sector in the future and strengthening basic competence.

A qualitative study on phases of growth process and on growth barrier in farm enterprise (농업경영체의 성장단계와 성장장벽의 구명에 관한 연구)

  • Kim, Sa-Gyun;Yang, Suk-Joon;Park, Heun-Dong;Choe, Young-Chan
    • Journal of Agricultural Extension & Community Development
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    • v.17 no.3
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    • pp.475-504
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    • 2010
  • This study focuses on the discovering problems which have been encountered while the farm company grew from one-man business to big company. We divide a growth process of farm company into 7 phases, and analyze the problems of each phase of growth process of farm company by theoretically and empirically. The logical model methodology is selected to test the basic model, and we use 6 cases to test suggested basic model. The results of this study are as follows. It suggests that the CEO of farm enterprise or its policy maker can understand what kinds of problem they meet while the farm enterprise grew from one-man business to big company, and they can make better strategies or better support policies.

Contactless Smart Card as a Cache for Geocaching

  • Burda, Karel
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.205-210
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    • 2021
  • In this paper, the possibility of using a contactless smart card as a cache for geocaching is analyzed. Geocaching is an outdoor game in which players search for hidden boxes, or caches based on geographical coordinates. The problems with this game are the possibility of players cheating and the need to maintain the caches. And then there is the problem of the ignorant public accidentally discovering a cache and considering it an explosive device. This paper proposes a concept for a possible solution to the above problems by replacing the boxes with conventional contactless smart cards. Also, this concept makes geocaching more attractive by using various games. This paper proposes a system architecture as well as the cryptographic protocol required for secure communication between the player's smartphone and the card.

Analysis of the Car Industry Trade Structure between Korea and China

  • Lee, Jae-Sung
    • Journal of Distribution Science
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    • v.11 no.11
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    • pp.33-40
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    • 2013
  • Purpose - This study, in seeking to understand the trade structure of both Korea and China, aims to strengthen Korea-China economic cooperation; it examines trade impediments by analyzing the problems affecting trade and addressing these problems, thereby discovering ways to expand trade between these countries. Research Design, Data, and Methodology - The index of trade intensity developed by the trade intensity theory (Kruger, 1997) is used to analyze the trade decision factors of both countries. Although specific factors should have materialized from the analysis of trade decision factors, determining concrete explanations is difficult in reality, as there are many unsolved and diverse factors. Results - First, the index of A value/B value is the index of Korean versus Chinese market share/Korean versus world market share, which is a measure of comparative market intensity. Second, Korea has a comparative advantage in export specialization and, conversely, China has a comparative advantage in import specialization. Third, compared to 2000, the revealed comparative advantage (RCA) indexes are considerably improved. Conclusions - This study used quantitative measurement for analysis, applying trade intensity theory, trade specialization, and RCA indexes to gauge how inter-trade relations have changed between Korea and China during the past 10 years (2000, 2005, and 2012).

A Narrative Approach to Helping an Early Childhood Children Teacher Achieve Greater Happiness in their Classes (행복한 수업을 찾아가는 유아교사의 이야기)

  • Suh, Hye-Jeong;Byun, Mi-Young
    • Korean Journal of Child Studies
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    • v.33 no.3
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    • pp.149-175
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    • 2012
  • This study is designed to positively transform a teacher's emotional state whilst teaching their classes and be able to create happier lessons for preschool children. To do this, a teacher needs to reflect upon current problems and take steps to deal with them. The data for this study was collected from participatory observation and in-depth interviews, making use of photos, a reflective teacher's journal and interview records from Mar. 28, 2011 through Oct. 7, 2011. The problems identified were, (1) teacher centered classes, (2) a daily routine filled with large group activities, (3) disruptive students, and (4) repetitiveness. The routes to greater classroom "happiness" are (1) rearranging seats, (2) "story sharing activities" in small groups, (3) making a separate "story sharing activity" area, (4) using small groups instead of large groups, (5) changing the daily routine. The role of the teacher in finding greater "happiness" are (1) meaningful, 'real observation', (2) discovering genuine change from small points, (3) power sharing, and (4) growing and developing with children.