• Title/Summary/Keyword: response database

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Implementation of Digital Game-based Learning Feature for Package Tour Management Application (패키지 투어 관리 애플리케이션을 위한 디지털 게임 기반의 학습 기능 구현)

  • Wahyutama, Aria Bisma;Hwang, Mintae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.7
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    • pp.1004-1012
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    • 2022
  • This paper contains the implementation of a game as a feature of a package tour management application with the Digital Game-based Learning approach that helps tourists learn about tourism spots. The game is written in Java language for an Android smartphone that is designed to be integrated with Content Management System (CMS) to manage the game's contents and assets. The game contains one tourism spots introductory level and five quiz game levels with each having a reward (points) and punishment (time penalty) system, then summed the results to obtain the total score from all levels. The total score will determine a tourist's performance and be listed on an online leaderboard to increase competitiveness among tourists. The conducted performance evaluation of the game shows satisfactory results of 0.9 seconds of response time from the database to the game. Implementing the game presented in this paper will potentially reduce the burden of the tour guide and increase the efficiency of managing the tour group.

Establishment of a BaTiO3-based Computational Science Platform to Predict Multi-component Properties (다성분계 물성을 예측하기 위한 BaTiO3기반 계산과학 플랫폼 구축)

  • Lee, Dong Geon;Lee, Han Uk;Im, Won Bin;Ko, Hyunseok;Cho, Sung Beom
    • Journal of Sensor Science and Technology
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    • v.31 no.5
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    • pp.318-323
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    • 2022
  • Barium titanate (BaTiO3) is considered to be a beneficial ceramic material for multilayer ceramic capacitor (MLCC) applications because of its high dielectric constant and low dielectric loss. Numerous attempts have been made to improve the physical properties of BaTiO3 in response to recent market trends by employing multicomponent alloying strategies. However, owing to its significant number of atomic combinations and unpredictable physical properties, finding a traditional experimental approach to develop multicomponent systems is difficult; the development of such systems is also time-consuming. In this study, 168 new structures were fabricated using special quasi-random structures (SQSs) of Ba1-xCaxTi1-yZryO3, and 1680 physical properties were extracted from first-principles calculations. In addition, we built an integrated database to manage the computational results, and will provide big data solutions by performing data analysis combined with AI modeling. We believe that our research will enable the global materials market to realize digital transformation through datalization and intelligence of the material development process.

Derivation of Surface Temperature from KOMPSAT-3A Mid-wave Infrared Data Using a Radiative Transfer Model

  • Kim, Yongseung
    • Korean Journal of Remote Sensing
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    • v.38 no.4
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    • pp.343-353
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    • 2022
  • An attempt to derive the surface temperature from the Korea Multi-purpose Satellite (KOMPSAT)-3A mid-wave infrared (MWIR) data acquired over the southern California on Nov. 14, 2015 has been made using the MODerate resolution atmospheric TRANsmission (MODTRAN) radiative transfer model. Since after the successful launch on March 25, 2015, the KOMPSAT-3A spacecraft and its two payload instruments - the high-resolution multispectral optical sensor and the scanner infrared imaging system (SIIS) - continue to operate properly. SIIS uses the MWIR spectral band of 3.3-5.2 ㎛ for data acquisition. As input data for the realistic simulation of the KOMPSAT-3A SIIS imaging conditions in the MODTRAN model, we used the National Centers for Environmental Prediction (NCEP) atmospheric profiles, the KOMPSAT-3Asensor response function, the solar and line-of-sight geometry, and the University of Wisconsin emissivity database. The land cover type of the study area includes water,sand, and agricultural (vegetated) land located in the southern California. Results of surface temperature showed the reasonable geographical pattern over water, sand, and agricultural land. It is however worthwhile to note that the surface temperature pattern does not resemble the top-of-atmosphere (TOA) radiance counterpart. This is because MWIR TOA radiances consist of both shortwave (0.2-5 ㎛) and longwave (5-50 ㎛) components and the surface temperature depends solely upon the surface emitted radiance of longwave components. We found in our case that the shortwave surface reflection primarily causes the difference of geographical pattern between surface temperature and TOA radiance. Validation of the surface temperature for this study is practically difficult to perform due to the lack of ground truth data. We therefore made simple comparisons with two datasets over Salton Sea: National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) field data and Salton Sea data. The current estimate differs with these datasets by 2.2 K and 1.4 K, respectively, though it seems not possible to quantify factors causing such differences.

Predicting Dynamic Response of a Railway Bridge Using Transfer-Learning Technique (전이학습 기법을 이용한 철도교량의 동적응답 예측)

  • Minsu Kim;Sanghyun Choi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.36 no.1
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    • pp.39-48
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    • 2023
  • Because a railway bridge is designed over a long period of time and covers a large site, it involves various environmental factors and uncertainties. For this reason, design changes often occur, even if the design was thoroughly reviewed in the initial design stage. In particular, design changes of large-scale facilities, such as railway bridges, consume significant time and cost, and it is extremely inefficient to repeat all the procedures each time. In this study, a technique that can improve the efficiency of learning after design change was developed by utilizing the learning result before design change through transfer learning among deep-learning algorithms. For analysis, scenarios were created, and a database was built using a previously developed railway bridge deep-learning-based prediction system. The proposed method results in similar accuracy when learning only 1000 data points in the new domain compared with the 8000 data points used for learning in the old domain before the design change. Moreover, it was confirmed that it has a faster convergence speed.

Dynamic Shear Properties of Nak-Dong River Sand Determined by Resonant Column/Torsional Shear Test (공진주/비듦전단시험을 이용한 낙동강모래의 동적전단변형특성)

  • Kim, Jin-Man;Park, Yo-Hwan;Lim, Suck-Dong
    • Journal of the Korean Geotechnical Society
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    • v.25 no.11
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    • pp.5-15
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    • 2009
  • Dynamic shear properties of Nak-Dong river sand were investigated to build a soil property database for Nak-Dong delta region. Samples were taken from the estuary and the midstream of the river. Laboratory specimens were prepared by air pluviation method, and were tested by using RC/TS apparatus at various confining stresses, relative densities and numbers of cycles. Shear modulus reduction and damping curves were developed using Ramberg-Osgood and Modified Hyperbolic Models. The developed curves, compared to those reported by other investigators, show only a slight difference. The outcome of this RC/TS experiments can be very important resources when accessing the dynamic response of sandy soils in Nak-Dong delta region in the future.

Development of a Regulatory Q&A System for KAERI Utilizing Document Search Algorithms and Large Language Model (거대언어모델과 문서검색 알고리즘을 활용한 한국원자력연구원 규정 질의응답 시스템 개발)

  • Hongbi Kim;Yonggyun Yu
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.5
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    • pp.31-39
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    • 2023
  • The evolution of Natural Language Processing (NLP) and the rise of large language models (LLM) like ChatGPT have paved the way for specialized question-answering (QA) systems tailored to specific domains. This study outlines a system harnessing the power of LLM in conjunction with document search algorithms to interpret and address user inquiries using documents from the Korea Atomic Energy Research Institute (KAERI). Initially, the system refines multiple documents for optimized search and analysis, breaking the content into managable paragraphs suitable for the language model's processing. Each paragraph's content is converted into a vector via an embedding model and archived in a database. Upon receiving a user query, the system matches the extracted vectors from the question with the stored vectors, pinpointing the most pertinent content. The chosen paragraphs, combined with the user's query, are then processed by the language generation model to formulate a response. Tests encompassing a spectrum of questions verified the system's proficiency in discerning question intent, understanding diverse documents, and delivering rapid and precise answers.

Analyzing employment trends in response to AI exposure: K-shaped labor polarization in Korea (인공지능 노출 정도에 따른 고용 추세 분석: K자형 고용 양극화)

  • Lee, Yeseul;Hwang, Hyeonjun
    • Informatization Policy
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    • v.30 no.3
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    • pp.69-91
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    • 2023
  • The impact of technological advancements on employment is a matter of ongoing debate, with discussions on the effects of AI technology development on employment being particularly scarce. This study employs the natural language processing technique (SBERT) and patents to calculate an occupation-based AI exposure score and to analyze employment trends by group. It proposes a method for calculating the AI exposure score based on the similarity between Korean patent information and US job descriptions and linking SOC(U.S.) and KSCO(Korea). The analysis of domestic AI patent applications and regional employment data in the KOSIS Database since 2013 reveals a K-shaped polarization pattern in Korean employment trends among groups with above and below average levels of AI exposure.

A Method for Measuring Inter-Utterance Similarity Considering Various Linguistic Features (다양한 언어적 자질을 고려한 발화간 유사도 측정 방법)

  • Lee, Yeon-Su;Shin, Joong-Hwi;Hong, Gum-Won;Song, Young-In;Lee, Do-Gil;Rim, Hae-Chang
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.1
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    • pp.61-69
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    • 2009
  • This paper presents an improved method measuring inter-utterance similarity in an example-based dialogue system, which searches the most similar utterance in a dialogue database to generate a response to a given user utterance. Unlike general inter-sentence similarity measures, the inter-utterance similarity measure for example-based dialogue system should consider not only word distribution but also various linguistic features, such as affirmation/negation, tense, modality, sentence type, which affects the natural conversation. However, previous approaches do not sufficiently reflect these features. This paper proposes a new utterance similarity measure by analyzing and reflecting various linguistic features to improve performance in accuracy. Also, by considering substitutability of the features, the proposed method can utilize limited number of examples. Experimental results show that the proposed method achieves 10%p improvement in accuracy compared to the previous method.

Prioritizing Noxious Liquid Substances (NLS) for Preparedness Against Potential Spill Incidents in Korean Coastal Waters (해상 유해액체물질(NLS) 유출사고대비 물질군 선정에 관한 연구)

  • Kim, Young-Ryun;Choi, Jeong-Yun;Son, Min-Ho;Oh, Sangwoo;Lee, Moonjin;Lee, Sangjin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.7
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    • pp.846-853
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    • 2016
  • This study prioritizes Noxious Liquid Substances (NLS) transported by sea via a risk-based database containing 596 chemicals to prepare against NLS incidents. There were 158 chemicals transported in Korean waters during 2014 and 2015, which were prioritized, and then chemicals were grouped into four categories (with rankings of 0-3) based on measures for preparedness against incident. In order to establish an effective preparedness system against NLS spill incidents on a national scale, a compiling process for NLS chemicals ranked 2~3 should be carried out and managed together with an initiative for NLS chemicals ranked 0-1. Also, it is advisable to manage NLS chemicals ranked 0-1 after considering the characteristics of NLS specifically transported through a given port since the types and characteristics of NLS chemicals relevant differ depending on the port. In addition, three designated regions are suggested: 1) the southern sector of the East Sea (Ulsan and Busan); 2) the central sector of the South Sea (Gwangyang and Yeosu); and 3) the northern sector of the West Sea (Pyeongtaek, Daesan and Incheon). These regions should be considered special management sectors, with strengthened surveillance and the equipment, materials and chemicals used for pollution response management schemes prepared in advance at NLS spill incident response facilities. In the near future, the risk database should be supplemented with specific information on chronic toxicity and updated on a regular basis. Furthermore, scientific ecotoxicological data for marine organisms should be collated and expanded in a systematic way. A system allowing for the identification Hazardous and Noxious Substances (HNS) should also be established, noting the relevant volumes transported in Korean waters as soon as possible to allow for better management of HNS spill incidents at sea.

A Study on the Design of Standard Code for Hazardous and Noxious Substance Accidents at Sea (해상 HNS 사고 표준코드 설계에 관한 연구)

  • Ha, Min-Jae;Jang, Ha-Lyong;Yun, Jong-Hwui;Lee, Moonjin;Lee, Eun-Bang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.2
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    • pp.228-232
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    • 2016
  • As the quantity of HNS sea trasport and the number of HNS accidents at sea are increasing recently, the importance of HNS management is emphasized so that we try to develop marine accident case standard code for making HNS accidents at sea databased systemically in this study. First and foremost, we draw the related requisites of essential accident reports along with internal and external decrees and established statistics of classified items for conducting study, and we referred to analogous standard codes obtained from developed countries in order to research code design. Code design is set like 'Accident occurrence ${\rightarrow}$ The initial accident information ${\rightarrow}$ Accident response ${\rightarrow}$ Accident investigation' in accordance with the general flow of marine HNS accidents of in which the accident information is input and queried. We classified initial accident information into the items of five categories and constructed "Preliminary Information Code(P.I.C.)". In addition we constructed accident response in two categories and accident investigation in three categories that get possible after the accident occurrence as called "Full Information(F.I.C.)", including the P.I.C. It is represented in 3 kinds of steps on each topic by departmentalizing the classified majority as classified middle class and classified minority. As a result of coding marine HNS accident and of the code to a typical example of marine HNS accident, HNS accident was ascertained to be represented sufficiently well. We expect that it is feasible to predict possible trouble or accident henceforward by applying code, and also consider that it is valuable to the preparedness, response and restoration in relation to HNS accidents at sea by managing systemically the data of marine HNS accidents which will occur in the future.