• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.174-186
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• 2019

Twitter is very popluar with users who desire social interaction as it is a highly effective method of communicating compared to traditional communication platforms; and thus has garnered considerable interest from the academic community. This research reveals how election results can be predicted by the factors of total volume of messages, positive messages and negative messages tweeted about a candidate. Social matrix analysis revealed that the quantity of twitter messages was a strong predictor of election results in the 18th presidential election in Korea. In addition, more positive messages than negative messages about a candidate from twitter users recorded better results in the election. This research found that the total quantity of messages, positive messages, and negative messages as key factors for predicting election result. Future studies should investigate other SNS platforms to discover what is the most effective communication strategy on each platform.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.477-485
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• 2018

Beyond the mid-2010s, there has been increasing cases of using 'Reminiscence' as a trigger for recalling 'Past' in pre-production process of creative contents. In previous researches on this phenomenon, it has been recognized that retro, recall, compassion, and memory are similar. In order to look closely to grasp the psychological tendency of the contents user in detail, the study about 'Reminiscence' was conducted. The researcher analyzed 'Reminiscence' as a process of restructuration based on the experience and desire of the person individual which were derived from the past and further analyzed it as a lack of desire due to the time can never return. The study hopefully can make a balance against the cutting edge content distribution technology biased production tendency.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.969-972
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• 2016

In this paper, we propose an algorithm of angular mode selection for high-performance HEVC intra prediction. HEVC intra prediction is used to remove the spatial redundancy. Intra prediction has a total of 35 modes and block size of $64{\times}64$ to $4{\times}4$. Intra prediction has a high amount of calculation and operational time due to performing all 35 modes for each block size for the best cost. The angular mode algorithm proposed has a simple difference between pixels of the original image and the selected angular mode. A decision is made to select one angular mode plus planar mode and DC mode to perform the intra prediction and determine the mode with the best cost. In effect, only three modes are executed compared to the traditional 35 modes. Performance evaluation index used are BD-PSNR and BD-Bitrate. For the proposed algorithm, BD-PSNR results averagely increased by 0.035 and BD-Bitrate decreased by 0.623 relative to the HM-16.9 intra prediction. In addition, the encoding time is decreased by about 6.905%.

• Convergence Security Journal
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• v.18 no.3
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• pp.61-68
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• 2018

As the digital broadcasting era settled in, the TV, which was only used to watch broadcast programs, developed as a medium for operating various data services. This means that an environment, in which the viewers' TV usage behavior can be changed from a passive attitude to an attitude of actively consuming the media, has been established. Since the advertising market is an industry that is heavily influenced by changes in the media, these changes causes changes in the form of advertising and the advertising consumption behavior of viewers. In this environment, the broadcasting industry needs to think about the new growth strategy that links the possibility of data service with the advertisement market. In this study, we designed a data service that provides supplementary information of an ID advertisement, which has the weakness of short exposure time and shortage of information expression space. Specifically, we have designed the usage scenario and user interface of the data service and developed a method, based on the international digital broadcasting standard DV B, that provides the supplementary information defined by the type of ID advertisement to the data service.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.3
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• pp.247-253
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• 2019

In this paper, we present a new method for real-time tracking of human walking around a laser sensor system. The method converts range data with $r-{\theta}$ coordinates to a 2D image with x-y coordinates. Then human tracking is performed using human's features, i.e. appearances of human walking pattern, and the input range data. The laser sensor based human tracking method has the advantage of simplicity over conventional methods which extract human face in the vision data. In our method, the problem of estimating 2D positions and orientations of two walking human's ankle level is formulated based on a moving trajectory algorithm. In addition, the proposed tracking system employs a HMM to robustly track human in case of occlusions. Experimental results using a real system demonstrate usefulness of the proposed method.

• Journal of Korean Society on Water Environment
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• v.35 no.1
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• pp.1-8
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• 2019

The purpose of this study is to evaluate the nutritional status of Lake Jinyang using Landsat 8 satellite image band correlated with chlorophyll-a, which is also related to algae proliferation. We selected 20 Landsat 8 images dating from 2013 to 2017, taken close to water quality measurement date when the cloud cover was less than 20 %. Based on the results of the previous studies, analyzing the correlation between chlorophyll-a, and Landsat 8 satellite image band, we selected near infrared wavelength, band 5 which is closely related to the population of algae. The nutritional status was classified using the Aizaki trophic state index (TSIm). The results of the regression equation between band 5 and the observed chlorophyll-a data was used to calculate chlorophyll-a for the image data from 2013 to 2017. The concentration of chlorophyll-a ranged from 3 to $16.1mg/m^3$. To illustrate the spatial distribution of chlorophyll-a within the lake, the chlorophyll-a concentration was divided into five grades. The images on October 14, 2014 and April 10, 2016 showed relatively high value of chlorophyll-a, while January 18, 2015 and December 6, 2016 chlorophyll-a value were below 5. The images on October 14, 2014 and April 10, 2016 were rated as eutrophic status in most areas. The results of simulating water quality for the day when the water quality was not measured resulted to an approximate value for the Panmun station while the Naedong station needed some corrections.

• The Journal of the Acoustical Society of Korea
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• v.38 no.4
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• pp.467-475
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• 2019

A high-intensity ultrasound wave generates acoustic streaming and acoustic radiation forces when propagating through a medium. An acoustic radiation force generated in a three-dimensional space can produce a solid tactile sensation, delivering spatial information directly to the human skin. We placed 154 ultrasound transmit elements with a frequency of 40 kHz on a concave circular dish, and generated an acoustic radiation force at the focal point by transmitting the ultrasound wave. To feel the tactile sensation better, the transmit elements were excited by sine waves whose amplitude was modulated by a 60 Hz square wave. As an application of ultrasonic tactile sensing, a region where tactile sense is formed in the air is used as an indicator for the position of the hand. We confirmed the utility of ultrasonic tactile feedback by implementing a system that provides the number of fingers to a machine by receiving the shape of the hand at the focal point where the tactile sense is detected.

• Journal of Aerospace System Engineering
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• v.13 no.2
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• pp.66-72
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• 2019

The observation satellites which uses high heat-dissipating equipment such as synthetic aperture radar (SAR) satellites require a radiator to transmit heat from the equipment into outer space. However, during cold conditions it requires a heater to maintain the temperature of equipment within the allowable minimum limit when it is not in operation. In this study, we proposed a variable conductivity radiator that changes its thermal conductivity value through movement of the liquid metal between two reservoirs based on the temperature condition. This reduces the power consumption of the heater by limiting heat transfer path to the radiator in cold condition, while effectively transferring heat to the radiator during hot condition. The feasibility of the proposed radiator was validated through comparison of the thermal control performance with the conventional fixed conductivity radiator via a thermal analysis.

• Cross-Cultural Studies
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• v.50
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• pp.453-482
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• 2018

This study is about the French preposition de. This preposition is considered to have no meaning in the French language, and to have only the grammatical function in its use. This study begins with doubts about such views regarding this preposition. We organize and classify general descriptions of the uses of this preposition. The uses are classified as 'expressing starting point,' 'giving characteristics' and 'performing grammatical functions' and this data is analyzed in terms of the associated cognitive grammar. In the case of expressing the starting point, it is assumed that the trajector moves from the starting point, to the destination point, in the domain of space and in the domain of time. Therefore, it is noted in this case that the preposition de has a dynamic concept. On the other hand, it is significant to understand that the preposition of the 'giving characteristics' defines an outline of a particular class by giving the class's characteristics. The preposition de has a static concept in this case. For the preposition de which introduces the infinitive, all of these dynamic and static concepts are faded and extremely grammaticalized.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.20-25
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• 2021

The target-object classification method was implemented using a deep-learning-based detection model in real-time images. The object detection model was a deep-learning-based detection model that allowed extensive data collection and machine learning processes to classify similar target-objects. The recognition model was implemented by changing the processing structure of the detection model and combining developed the vision-processing module. To classify the target-objects, the identity and similarity were defined and applied to the detection model. The use of the recognition model in industry was also considered by verifying the effectiveness of the recognition model using the real-time images of an actual soccer game. The detection model and the newly constructed recognition model were compared and verified using real-time images. Furthermore, research was conducted to optimize the recognition model in a real-time environment.