• The Bulletin of The Korean Astronomical Society
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• v.36 no.1
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• pp.33.1-33.1
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• 2011

The plasma sheet of the Earth's magnetosphere is a sheet of hot plasmas in the magnetotail region, dividing the two (northern and southern) lobes of the Earth's magnetic field. It is the key region that is often closely linked to various electromagnetic dynamics in the Earth's magnetosphere-ionosphere system. In particular, it is the region that is most crucial for substorms, which is one of the most dynamic phenomena in the Earth's magnetosphere. The question of substorm triggering remains highly controversial until today, and at the center of the controversy there are several critical physics issues of the plasma sheet. In this talk I will introduce some of the physics issues of the plasma sheet. The specific topics that this talk will cover are (i) the general properties of the plasma sheet, (ii) fast plasma jets and plasma transport problem, (iii) stability/instability problem, and (iv) effects of thin current sheet. I will also present some of our group's recent findings regarding these topics, as obtained by comprehensive analyses of various observational data. The level and content of this talk are designed to be comprehensible to not only space physicists but also the scientists in a related field such as solar and heliospheric physics.

• Smart Media Journal
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• v.5 no.3
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• pp.88-92
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• 2016

This paper proposes a method of forecasting the computer technology development direction. Most computer technology researches in Korea are developed from hot research issues. This approach to take research topics mostly produces less valuable results. In order to choose more valuable research topics, researchers should company with the technology development trends. This paper proposes a way to forecast the computer technologies on the way to the future. It analyzes the development history of programming languages, and forecasts future directions as extensions of the history.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.2
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• pp.19-28
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• 2019

The purpose of this study is to examine the trends on machine learning and deep learning research in the published journals from the Web of Science Database. To achieve the study purpose, we used the abstracts of 20,664 articles published between 1990 and 2017, which include the word 'machine learning', 'deep learning', and 'artificial neural network' in their titles. Twenty major research topics were identified from topic modeling analysis and they were inclusive of classification accuracy, machine learning, optimization problem, time series model, temperature flow, engine variable, neuron layer, spectrum sample, image feature, strength property, extreme machine learning, control system, energy power, cancer patient, descriptor compound, fault diagnosis, soil map, concentration removal, protein gene, and job problem. The analysis of the time-series linear regression showed that all identified topics in machine learning research were 'hot' ones.

• Journal of Industrial Technology
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• v.28 no.A
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• pp.191-194
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• 2008

IT governance becomes one of hot issues in corporate information system including university ERP. IT governance provides IT value and mitigates IT-related risks such that the organization takes new business chances and grows in the future. In this study, we briefly introduced IT governance and university ERP in the viewpoint of alignment to the business goal of the organization. And then, we proposed an strategic approach of IT governance for university ERP system with new performance evaluation items from IT-BSC. Finally, we pointed out some related research topics as further studies.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.251-256
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• 1994

Integration of intelligent robot workcell is now a hot issue in CIM and robotics area. This piper dealt with relatively low-level essential topics, i.e., multi-robot coordination and real-time communication for the integration of intelligent robot workcell. For the coordination of multi-robot system, the tightly-coupled coordination is proposed using the various sensors. In order to handle the numerous communication data, time-critical communication network (Field-bus) is introduced and investigated. Finally, intelligent robot workcell is suggested using the Mini-MAP and Field-bus.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.287-293
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• 2004

■ Sounds the title intriguing to you, but suspicious about the content of our talk ？ · Title ： When Ontology meets e-Catalog. ·Hot subjects ： ·Terms (or topics) such as ontology, Sermantic Web. and e-Catalogs have been on many people's lips recently. ·However, we claim that the outcomes or contents of the majority of talks or workshops have touched the surface of the subjects. For examples. -Good for having Ontology... -Go for Semantic Web... -Probably Semantic Web being feasible for e-Commerce....(omitted)

• Proceedings of the Optical Society of Korea Conference
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• 2003.07a
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• pp.6-7
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• 2003

The inertial fusion research at ILE, Osaka moves to the fast ignition scheme with using PW laser system to achieve hot core plasma of keV-temperature by heating additionally the dense plasma imploded by the multi-beam Gekko laser system. The solid-state lasers have been developed of the peak-power from TW to PW region with the chirped pulse amplification (CPA) and optical parametric amplification (OPA) technology. (omitted)

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.513-519
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• 2018

The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.

• The Mathematical Education
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• v.59 no.3
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• pp.201-216
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• 2020

This study analyzed 493 domestic mathematics curriculum articles published in KCI's listings from 1997 to 2019 using LDA topic modeling. As a result, domestic mathematics curriculum research could be categorized into eight topics such as 'context in a curriculum', 'analysis a curriculum by the mathematical concept', 'form, system, meaning, and character of a curriculum', 'instruction and application of a curriculum', 'implementation and evaluation of a curriculum', 'tasks in a curriculum', 'analysis of a curriculum based on ability', 'compare and analysis curriculum and textbook'. The topic 'implementation and evaluation of a curriculum' was identified with the lowest proportion. Also, we performed the simple regression analysis with the weight of topics in the application period of the curriculum, and 'analysis of a curriculum based on ability' appeared as a 'hot topic'. Furthermore, topics appeared differently depending on the application period of the curriculum. Some of the appeared topics showed a tendency to match the emphasis of the highlight in a mathematics curriculum. Based on the results, future studies should develop frameworks for mathematics curriculum studies and extend the field of mathematical curriculum studies to make progress. Furthermore, future studies are needed to examine the enactment, feedback, and competency evaluation in the mathematical curriculum.

• Journal of KIISE:Databases
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• v.41 no.4
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• pp.217-225
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• 2014

Analysis of social media such as Twitter can yield interesting perspectives to understanding human behavior, detecting hot issues, identifying influential people, or discovering a group and community. However, it is difficult to gather the data relevant to specific topics due to the main characteristics of social media data; data is large, noisy, and dynamic. This paper proposes a new algorithm that dynamically selects the seed nodes to efficiently collect tweets relevant to topics. The algorithm utilizes attributes of users to evaluate the user influence, and dynamically selects the seed nodes during the collection process. We evaluate the proposed algorithm with real tweet data, and get satisfactory performance results.