• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.21 no.6
• /
• pp.183-190
• /
• 2011

In this paper, we propose a prototype system for abnormal sound detection and identification which detects and recognizes the abnormal situations by means of analyzing audio information coming in real time from CCTV cameras under surveillance environment. The proposed system is composed of two layers: The first layer is an one-class support vector machine, i.e., support vector data description (SVDD) that performs rapid detection of abnormal situations and alerts to the manager. The second layer classifies the detected abnormal sound into predefined class such as 'gun', 'scream', 'siren', 'crash', 'bomb' via a sparse representation classifier (SRC) to cope with emergency situations. The proposed system is designed in a hierarchical manner via a mixture of SVDD and SRC, which has desired characteristics as follows: 1) By fast detecting abnormal sound using SVDD trained with only normal sound, it does not perform the unnecessary classification for normal sound. 2) It ensures a reliable system performance via a SRC that has been successfully applied in the field of face recognition. 3) With the intrinsic incremental learning capability of SRC, it can actively adapt itself to the change of a sound database. The experimental results with the qualitative analysis illustrate the efficiency of the proposed method.

• Journal of The Korean Association For Science Education
• /
• v.41 no.2
• /
• pp.155-169
• /
• 2021

This study aims at exploring the features of science teaching orientation (STO) and its relationships with other PCK (pedagogical content knowledge) components. To do this, based on the definition of STO by Friedrichsen, Driel, & Abell(2011) and PCK model by Magnusson, Krajcik, & Borko(1999), we observed one experienced elementary teacher's science lessons for 21 lesson hours (10 hours of 'Motion of Objects' and 11 hours of 'Light and Lens') and carried out qualitative analyses of the data obtained from lessons observation, teacher interviews, and CoRe (content representation) responses. We analyzed the teacher's three aspects of STO (i.e. beliefs about the goals and purpose of science teaching, beliefs about the nature of science, and beliefs about science teaching and learning) which can converge into an overall STO of 'inquiry'. And these aspects of STO appear to interact differently with four PCK components (i.e. curriculum knowledge, learner knowledge, instructional knowledge, and assessment knowledge) depending on the topic of the lesson. It is hoped that this in-depth understanding of the features of STO and its relationship with other PCK components would provide useful information on how to monitor and improve STO and PCK of elementary teachers.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.8
• /
• pp.149-156
• /
• 2021

This study was conducted to confirm the influence of interpersonal disposition and emotional intelligence on interpersonal competence of allied health college students. For the research, a questionaire survey was conducted for students enrolled in the Department of Nursing and Physical Therapy from November 29 to December 16, 2019 and a total of 275 data were collected. Data were analyzed by t-test, ANOVA, correlation analysis, and multiple regression analysis using SPSS program. As results of the study, the average of interpersonal competence was 4.10 and that of thoughtfulness-unconsideration was the highest among the eight interpersonal types and the average emotional intelligence was 2.73. The interpersonal dispositions that had a significant effect on interpersonal competence were initiative-congruence and aggression-non aggression and their explanatory power was 29.4% and the most influential interpersonal disposition was initiative-congruence. Emotional intelligence that had a significant effect on interpersonal competence were self-emotional expression, control of others and motivation and their explanatory power was 24.0% and the most influential emotional intelligence was motivation.

• The Journal of the Korea Contents Association
• /
• v.21 no.5
• /
• pp.889-904
• /
• 2021

The planning of traditional urban has to face great challenges under the influence of the uncertainty and mobility of contemporary cities. While for this kind of challenge, it has brought the chance to develop Landscape Urbanism quickly. As an important practice place for Landscape Urbanism, open space provides a platform for many landscape designers to display. The purpose of this research is to explore the expression of the core content of Landscape Urbanism in open space, and propose the design tendency of open space in Korea. According to the constitution elements of urban open space and the core concept of Landscape Urbanism, this thesis establishes the analysis framework, which carries out the case empirical analysis for the open space of New York. Through case analysis, we can see that there are five major characteristics of Landscape Urbanism. That is, the integration or imitation of natural terrain, green infrastructure construction, emphasizing ecological resilience, adaptability to unplanned events, and analyzing the site from multiple scales. In this research, the design proposal proposed on the basis of Landscape Urbanism is able to provide enlightenment for the urban open space design of Korea in the future.

• Knowledge Management Research
• /
• v.23 no.2
• /
• pp.277-299
• /
• 2022

The massive card transaction data generated in the tourism industry has become an important resource that implies tourist consumption behaviors and patterns. Based on the transaction data, developing a smart service system becomes one of major goals in both tourism businesses and knowledge management system developer communities. However, the lack of rating scores, which is the basis of traditional recommendation techniques, makes it hard for system designers to evaluate a learning process. In addition, other auxiliary factors such as temporal, spatial, and demographic information are needed to increase the performance of a recommendation system; but, gathering those are not easy in the card transaction context. In this paper, we introduce CTDDTR, a novel approach using card transaction data to recommend tourism services. It consists of two main components: i) Temporal preference Embedding (TE) represents tourist groups and services into vectors through Doc2Vec. And ii) Deep tourism Recommendation (DR) integrates the vectors and the auxiliary factors from a tourism RDF (resource description framework) through MLP (multi-layer perceptron) to provide services to tourist groups. In addition, we adopt RFM analysis from the field of knowledge management to generate explicit feedback (i.e., rating scores) used in the DR part. To evaluate CTDDTR, the card transactions data that happened over eight years on Jeju island is used. Experimental results demonstrate that the proposed method is more positive in effectiveness and efficacies.

• KIPS Transactions on Software and Data Engineering
• /
• v.13 no.1
• /
• pp.35-49
• /
• 2024

Video captioning technology, as a significant outcome of the integration between computer vision and natural language processing, has emerged as a key research direction in the field of artificial intelligence. This technology aims to achieve automatic understanding and language expression of video content, enabling computers to transform visual information in videos into textual form. This paper provides an initial analysis of the research trends in deep learning-based video captioning and categorizes them into four main groups: CNN-RNN-based Model, RNN-RNN-based Model, Multimodal-based Model, and Transformer-based Model, and explain the concept of each video captioning model. The features, pros and cons were discussed. This paper lists commonly used datasets and performance evaluation methods in the video captioning field. The dataset encompasses diverse domains and scenarios, offering extensive resources for the training and validation of video captioning models. The model performance evaluation method mentions major evaluation indicators and provides practical references for researchers to evaluate model performance from various angles. Finally, as future research tasks for video captioning, there are major challenges that need to be continuously improved, such as maintaining temporal consistency and accurate description of dynamic scenes, which increase the complexity in real-world applications, and new tasks that need to be studied are presented such as temporal relationship modeling and multimodal data integration.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.17 no.2
• /
• pp.108-125
• /
• 2015

The agro-climatic index is one of the ways to assess the climate resources of particular agricultural areas on the prospect of agricultural production; it can be a key indicator of agricultural productivity by providing the basic information required for the implementation of different and various farming techniques and practicalities to estimate the growth and yield of crops from the climate resources such as air temperature, solar radiation, and precipitation. However, the agro-climate index can always be changed since the index is not the absolute. Recently, many studies which consider uncertainty of future climate change have been actively conducted using multi-model ensemble (MME) approach by developing and improving dynamic and statistical downscaling of Global Climate Model (GCM) output. In this study, the agro-climatic index of Korean Peninsula, such as growing degree day based on $5^{\circ}C$, plant period based on $5^{\circ}C$, crop period based on $10^{\circ}C$, and frost free day were calculated for assessment of the spatio-temporal variations and uncertainties of the indices according to climate change; the downscaled historical (1976-2005) and near future (2011-2040) RCP climate sceneries of AR5 were applied to the calculation of the index. The result showed four agro-climatic indices calculated by nine individual GCMs as well as MME agreed with agro-climatic indices which were calculated by the observed data. It was confirmed that MME, as well as each individual GCM emulated well on past climate in the four major Rivers of South Korea (Han, Nakdong, Geum, and Seumjin and Yeoungsan). However, spatial downscaling still needs further improvement since the agro-climatic indices of some individual GCMs showed different variations with the observed indices at the change of spatial distribution of the four Rivers. The four agro-climatic indices of the Korean Peninsula were expected to increase in nine individual GCMs and MME in future climate scenarios. The differences and uncertainties of the agro-climatic indices have not been reduced on the unlimited coupling of multi-model ensembles. Further research is still required although the differences started to improve when combining of three or four individual GCMs in the study. The agro-climatic indices which were derived and evaluated in the study will be the baseline for the assessment of agro-climatic abnormal indices and agro-productivity indices of the next research work.

• Korean Journal of Remote Sensing
• /
• v.30 no.2
• /
• pp.275-292
• /
• 2014

The objective of this study is to determine Tasseled Cap Transformation (TCT) coefficients for the Geostationary Ocean Color Imager (GOCI). TCT is traditional method of analyzing the characteristics of the land area from multi spectral sensor data. TCT coefficients for a new sensor must be estimated individually because of different sensor characteristics of each sensor. Although the primary objective of the GOCI is for ocean color study, one half of the scene covers land area with typical land observing channels in Visible-Near InfraRed (VNIR). The GOCI has a unique capability to acquire eight scenes per day. This advantage of high temporal resolution can be utilized for detecting daily variation of land surface. The GOCI TCT offers a great potential for application in near-real time analysis and interpretation of land cover characteristics. TCT generally represents information of "Brightness", "Greenness" and "Wetness". However, in the case of the GOCI is not able to provide "Wetness" due to lack of ShortWave InfraRed (SWIR) band. To maximize the utilization of high temporal resolution, "Wetness" should be provided. In order to obtain "Wetness", the linear regression method was used to align the GOCI Principal Component Analysis (PCA) space with the MODIS TCT space. The GOCI TCT coefficients obtained by this method have different values according to observation time due to the characteristics of geostationary earth orbit. To examine these differences, the correlation between the GOCI TCT and the MODIS TCT were compared. As a result, while the GOCI TCT coefficients of "Brightness" and "Greenness" were selected at 4h, the GOCI TCT coefficient of "Wetness" was selected at 2h. To assess the adequacy of the resulting GOCI TCT coefficients, the GOCI TCT data were compared to the MODIS TCT image and several land parameters. The land cover classification of the GOCI TCT image was expressed more precisely than the MODIS TCT image. The distribution of land cover classification of the GOCI TCT space showed meaningful results. Also, "Brightness", "Greenness", and "Wetness" of the GOCI TCT data showed a relatively high correlation with Albedo ($R^2$ = 0.75), Normalized Difference Vegetation Index (NDVI) ($R^2$ = 0.97), and Normalized Difference Moisture Index (NDMI) ($R^2$ = 0.77), respectively. These results indicate the suitability of the GOCI TCT coefficients.

• Cartoon and Animation Studies
• /
• s.28
• /
• pp.27-53
• /
• 2012

American superhero comics are being produced in numerous different forms for multiple, and cross-platform media. In cinema, films based on superhero comics top the list of all time box office records. The same phenomenon of the 'Invasion of Superhero' is duplicated in Korean box office 2012, however, the korean fans are not familiar with the superheroes from the publication which provides the original source of characters and stories for other superhero related media products. Based on observing the multiple and vastness of world building characteristics of superhero comic, this paper attempts to associate the continuous creative nature and the infinite repetition of superheroes and comic texts with the identity of superhero on ontological level. First, chapter 2 examines how one superhero exists in multiple and different worlds individually by utilizing the concept of 'multi-universe' or 'multiverse' in comic texts. Initially, duplicating a superhero on multiple settings and series destroyed continuity and allowed contradiction and paradox confused narrative as a whole, but it also gave chances for comics to be more vibrant and experimental with their stories and characters. Chapter 3 analyzes the superhero comic texts in the light of repetition, concept developed by french philosopher Gilles Deleuze, and make the argument that the superheroes and texts are not repeated to generate surplus of source for economic utilitarian purposes, but it is, first and foremost, a repetition of creativeness and capability. Many concepts introduced by Deleuze in his early masterpiece, $\acute{e}$rence et R$\acute{e}$p$\acute{e}$tition> are taken to support this argument. Mainly, his critical views on generality of the identity and his effort to replace the Plato's system of representation with vibrant creative, and renewal energy of r$\acute{e}$p$\acute{e}$tition. According to Deleuze, repetition is similar concept, if not identical, to what Nietzsche called the 'eternal return' which allows the return of the Overhuman or the Superhuman, and he extends his idea that the returning Overhuman is the singular simulacre which opposes the generalization of identity, in the likes of Plato's Idea. Thus, the superhero's identity is ever changing, ever returning, and ever renewing Overhuman. The superhero must be repeated to fully actualize his/her existence. Also, based on Deleuze's reading of Bergson's texts on the Virtual, the superhero, for example Superman, is actualization of his/her multiplisit$\acute{e}$, the internally multiple, and differentiated variations from itself. These every Supermans' multiplisit$\acute{e}$ shares common memory, past, and duration, thus the Virtual of Superman. Superman becomes himself only by actualizing the movement and differentiation from these multiplisit$\acute{e}$ in his virtual on the surface of reality. On chapter 4, a popular Korean comic book character Oh, Hae-Sung's r$\acute{e}$p$\acute{e}$tition and multiplist$\acute{e}$ are analyzed, and makes comparison to that of Superman to distinguish the repetition from r$\acute{e}$p$\acute{e}$tition, and multiplicit$\acute{e}$ from diversity.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.45 no.11
• /
• pp.1673-1680
• /
• 2016

The purpose of this study was to examine how customer orientation (CO) reduces employee stress to customers (CSS). As emotional labor strategies [surface acting (SA) and deep acting (DA)] may mediate a role between CO and CSS, we verified multiple parallel mediator roles of SA and DA between CO and CSS. Our survey was administered to 323 school foodservice employees in Daegu and Gyeongbuk. The results show that CO increased DA but did not decrease SA, and SA had a positive effect on CSS while DA did not influence CSS. These results did not support the parallel multiple mediator model. We conducted post-hoc model modification and proposed the serial multiple mediator model as a modified model. As a result, CO increased DA, DA reduced SA, and SA showed a positive relation with CSS. This double mediating effect through DA and SA between CO and CSS was significant. Based on these results, we found that CO did not have a direct effect on SA and CSS. DA did not directly reduce CSS while CO reduced SA and CSS through DA indirectly. DA had a negative effect on CSS through SA indirectly. Finally, implications and limitations of this are discussed.