• Cartoon and Animation Studies
• /
• s.11
• /
• pp.1-10
• /
• 2007

The trend of making film from the comic source, which is a prototype of so-called media mix, is indeed a different phenomenon from the traditional ones from novel or play sources. Historically comics are recently adapted to film although they have narratives and continuity of images. It is due to the lack of social conception of comics genre and extension of imagination that is a characteristics of the comics. However, it is conspicuous that comics has been a source of film along with the development of technology of visual image reproduction and the trend of enlarging reproduction of popular media image. Since comics can provide narratives and he visual sense for film making, these trend will be continued and more vivid.

• Journal of Environmental Science International
• /
• v.21 no.2
• /
• pp.125-133
• /
• 2012

Climatological trend for the period of 1970 to 2009 in sea water temperature around the Antarctic Peninsular waters in the Southern Ocean was investigated. During the period from 1970 to 2009, sea water temperature in the top 500 m water column except 100 m increased at a rate of $0.003-0.011^{\circ}C{\cdot}yr^{-1}$, but at 100 m it decreased at a rate of $-0.003^{\circ}C{\cdot}yr^{-1}$. Although long-term trend is generally warming, there were several periods of sharp changes between 1970 and 2009. Annual mean sea water temperature between surface and 500 m except 100 m decreased from the early of 1970s to the end of 1980s, and then it increased to the end of 2000s. In the entire water column between the surface and 500 m, sea water temperature closely correlated with the El Nino events expressed as the Southern Oscillation Index(SOI), and SOI and sea water temperature have a dominant period of about 3-5 years and decade.

• Proceedings of the Korean Society of Propulsion Engineers Conference
• /
• 2008.03a
• /
• pp.84-88
• /
• 2008

The UAV propulsion system that will be operated for long time at more than 40,000ft altitude should have not only fuel flow minimization but also high reliability and durability. If this UAV propulsion system may have faults, it is not easy to recover the system from the abnormal, and hence an accurate diagnostic technology must be needed to keep the operational reliability. For this purpose, the development of the health monitoring system which can monitor remotely the engine condition should be required. In this study, a fuzzy trend monitoring method for detecting the engine faults including mechanical faults was proposed through analyzing performance trends of measurement data. The trend monitoring is an engine conditioning method which can find engine faults by monitoring important measuring parameters such as fuel flow, exhaust gas temperatures, rotational speeds, vibration and etc. Using engine condition database as an input to be generated by linear regression analysis of real engine instrument data, an application of the fuzzy logic in diagnostics estimated the cause of fault in each component. According to study results, it was confirmed that the proposed trend monitoring method can improve reliability and durability of the propulsion system for a long endurance UAV to be operated at medium altitude.

• The Journal of Information Systems
• /
• v.30 no.3
• /
• pp.201-216
• /
• 2021

Purpose The purpose of this study is to analyze the trend of patent technology in textile materials using text mining methodology based on Dynamic Embedded Topic Model and Structural Topic Model. It is expected that this study will have positive impact on revitalizing and developing textile materials industry as finding out technology trends. Design/methodology/approach The data used in this study is 866 domestic patent text data in textile material from 1974 to 2020. In order to analyze technology trends from various aspect, Dynamic Embedded Topic Model and Structural Topic Model mechanism were used. The word embedding technique used in DETM is the GloVe technique. For Stable learning of topic modeling, amortized variational inference was performed based on the Recurrent Neural Network. Findings As a result of this analysis, it was found that 'manufacture' topics had the largest share among the six topics. Keyword trend analysis found the fact that natural and nanotechnology have recently been attracting attention. The metadata analysis results showed that manufacture technologies could have a high probability of patent registration in entire time series, but the analysis results in recent years showed that the trend of elasticity and safety technology is increasing.

• Journal of Soil and Groundwater Environment
• /
• v.21 no.4
• /
• pp.30-41
• /
• 2016

The amount of groundwater related data is drastically increasing domestically from various sources since 2000. To justify the more expansive continuation of the data acquisition and to derive valuable implications from the data, continued employments of sophisticated and state-of-the-arts statistical tools in the analyses and predictions are important issue. In the present study, we employed a well established machine learning technique of Gaussian Process Regression (GPR) model in the trend analyses of groundwater level for the long-term change. The major benefit of GPR model is that the model provide not only the future predictions but also the associated uncertainty. In the study, the long-term predictions of groundwater level from the stations of National Groundwater Monitoring Network located within Han River Basin were exemplified as prediction cases based on the GPR model. In addition, a few types of groundwater change patterns were delineated (i.e., increasing, decreasing, and no trend) on the basis of the statistics acquired from GPR analyses. From the study, it was found that the majority of the monitoring stations has decreasing trend while small portion shows increasing or no trend. To further analyze the causes of the trend, the corresponding precipitation data were jointly analyzed by the same method (i.e., GPR). Based on the analyses, the major cause of decreasing trend of groundwater level is attributed to reduction of precipitation rate whereas a few of the stations show weak relationship between the pattern of groundwater level changes and precipitation.

• Journal of Fashion Business
• /
• v.5 no.4
• /
• pp.73-88
• /
• 2001

The purpose of this study was to analyze the consumers' acceptance of the new changes in fashion trend and to project the future possibility of them based on the result of the analysis. It was identified in the review of fashion trend that the major change in the recent fashion trend was the turning of focus from 'Minimalism-influenced' to 'Maximalism-influenced'. Total 176 of Korean women, who preferred 'Minimalism-influenced' or 'Maximalism-influenced' style, were sampled and asked to response on a self-report questionnaire with stimuli developed for this study. According to the respondents’ acceptance and preference of either one of the two streams, each respondent was allocated to one of the two groups which were named as 'Minimal-preference group' or 'Maximal-preference group'. The reasons of their preference, traits in trend-related attitude and demographic variables of both groups were analyzed and compared. The degree of clothing involvement and fashion leadership of Maximal-preference group, who accepted the new trend, were found to be significantly higher than those of Minimal-preference group. Maximal-preference group had significantly higher level of income and expenditure on fashion than Minimal-preference group. The motives and reasons for their acceptance of each stream were also analyzed.

• MALSORI
• /
• no.62
• /
• pp.113-131
• /
• 2007

It is reported that the segmental feature based recognition system shows better results than conventional feature based system in the previous studies. On the other hand, the various studies of combining neural network and hidden Markov models within a single system are done with expectations that it may potentially combine the advantages of both systems. With the influence of these studies, tandem approach was presented to use neural network as the classifier and hidden Markov models as the decoder. In this paper, we applied the trend information of segmental features to tandem architecture and used posterior probabilities, which are the output of neural network, as inputs of recognition system. The experiments are performed on Auroral database to examine the potentiality of the trend feature based tandem architecture. From the results, the proposed system outperforms on very low SNR environments. Consequently, we argue that the trend information on tandem architecture can be additionally used for traditional MFCC features.

• Journal of the Korea Computer Industry Society
• /
• v.3 no.12
• /
• pp.1659-1668
• /
• 2002

It is very important to protect digital copyright such as computer software, digital contents, and others because national power is influenced at present and in the future. This paper deals with the trend of domestic and foreign researches related to digital copyright and the comparative analysis of software tools fur being a systematic judge of the piracy. This paper focuses on the foreign trend of judge business based on JISC and the domestic movement. It also comparatively analyses software tools to judge natural language or program piracy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.05a
• /
• pp.315-318
• /
• 2015

in recently the world trend of security system for shipping transport is much more important and stronger, so following the world trend, there is development to security system of shipping transport for national security logistics system construction. it is still ongoing. For the world trend of security system, there is attempt of portable radiation detection, which is possible to get detection of nuclide in south Korea. in this Paper, it will shows about Full-digital system to portable radiation detection platform.

• Journal of the Korea Furniture Society
• /
• v.19 no.5
• /
• pp.387-402
• /
• 2008

Today's restaurant is the space not just for eating, but enjoying the mood, communication space for social life, and leading trend. Therefore interior design is concerned with one of the most important role for creating unique atmosphere of restaurants. This study is aimed to analyze how to interior design elements affect the improvement of New York hip restaurant reputation, focusing on the importance of the establishment of unique trend. Through the case studies of New York hip restaurants, it is suggested that interior design is composed to not only significant different element, but also common design concept. It is mainly divided by 5 categories which is the Fusion mixed with eastern culture throughout the vision of the western, the New Baroque redefined tradition and modern thought, the Modern Classic created by importance of concise style and beauty of material, the High Concept used with new materials and technologies, and the Naturalism focused on spirit from nature and eco. Recently New York hip restaurant through the corporation work with star chef and star designer is developed to provide the enjoyable and anticipated spaces with strong theme and entertainments.