• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.11
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• pp.925-932
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• 2017

In this study, the analysis of plate under torsion was carried out according to stacking angle at the unidirectional carbon fiber reinforced plastic(UD CFRP) among composite materials. In case of UD CFRP, the material property due to stacking angle becomes different. Also, the stacking angles were designated to 15°, 30°, 45°, 60°, 75° and 90° at the study models. The notch hole was applied at the center part by supposing that rivet or hole was used. The analysis method was used by applying the experimental method at ISO 15310. Two jigs were fixed at the lower part and two jigs were descending at the upper part. As seen by the analysis result values at this study, the shear stress happening at the fracture part was seen with the lowest value in case of the stacking angle of 45°. It is known that the case of the stacking angle of 45°has the structural safety and durability higher than those of the other stacking angles when the torsion applies. It is thought that this result can be applied to the data of basis which can be devoted to the durability when the torsion is applied at CFRP plate.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.7
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• pp.485-496
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• 2018

In this paper, the smoke behavior in an underground station on operation of the fans in the ventiliation of the station was measured by the experimental method when the fire occurred in the underground station platform where the platfrom screen door was installed. The ventilation characteristics were compared when the ventilation system was operated and when the ventilation system was not operated when a fire occurred at the platform where the clean door was closed. To simulate the fire smoke, the smoke generated from the smoke generator was heated using a hot air fan. The transmittance was measured using a smoke density meter to quantitatively measure fire smoke. If the screen door is closed and the ventilation system of the underground station does not work, it is confirmed that if a fire occurs in the platform, smoke accumulates inside the platform, evacuating passengers is very difficult and can lead to a very dangerous situation. On the other hand, under the condition that the ventilation facility of the subway station is operated, the smoke evacuates to the outside through the ventilation facility of the underground station, and airflow is formed in the direction from the waiting room to the waiting area, so that the passenger located on the platform can safely evacuate toward the concourse. In the following paper, we will discuss the concurrent effect of tunnel ventilation through tunnel vent near the platform.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.6
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• pp.853-861
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• 2018

This paper proposes the application of harmonic constraints to address the problems caused by abnormal voltage increases when electric railway vehicles are running. The AC line that supplies the train with power during operation is used to provide electricity of 25kV/60 Hz, but gradually the size and frequency of harmonics involved in the line are varied with the technological evolution of the railroad vehicle electrical equipment. An increase in heat losses due to the failure of the instrument transformer (PT), the main circuit device, which is a serious problem with the recent train safety operation, or to the main displacement voltage. When high frequency components are introduced through low frequency Transformers of the main circuit device, the high intensity of the components is caused by the high intensity of the core and the current flow of the parasitic core is increased, thus generating heat. To solve this problem, the recent adjustment of the sequence has applied artificial NOTCH OFF of the power converter. However, the method of receiving and controlling the OFF signal operates by interaction between the ground and the vehicle's devices, thus it is invalid in the event of failure, and an actual accident is occurring. Therefore, the harmonic currents were required to prevent possible flow of harmonics, and conducted a study to prevent accidental occurrence of train accidents and to verify feasibility of the device through the simulations of the train's experimental analysis and the simulations of the train for safe operation.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.329-337
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• 2017

This paper proposes a search method that explores parameters C and σ values of support vector machines (SVM) to improve performance while maintaining search accuracy. A traditional grid search method requires tremendous computational times because it searches all available combinations of C and σ values to find optimal combinations which provide the best performance of SVM. To address this issue, this paper proposes a deep search method that reduces computational time. In the first stage, it divides C-σ- accurate metrics into four regions, searches a median value of each region, and then selects a point of the highest accurate value as a start point. In the second stage, the selected start points are re-divided into four regions, and then the highest accurate point is assigned as a new search point. In the third stage, after eight points near the search point. are explored and the highest accurate value is assigned as a new search point, corresponding points are divided into four parts and it calculates an accurate value. In the last stage, it is continued until an accurate metric value is the highest compared to the neighborhood point values. If it is not satisfied, it is repeated from the second stage with the input level value. Experimental results using normal and defect bearings show that the proposed deep search algorithm outperforms the conventional algorithms in terms of performance and search time.

• Journal of the Korean Society of Floral Art and Design
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• no.37
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• pp.157-166
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• 2017

To select fruit trees for urban garden with Elaeagnus umbellata var. coreana, Malus domestica 'Alps Otome', Prunus mume, Ribes nigrum, Rubus fructicosus, and Vaccinium corymbosum 'Reka', growth characteristics of these 6 species were compared and effect of trickle irrigation and shading on the growth of these fruit trees were investigated that these treatments were carried out how much these trees are endurable exposed to improper conditions. After passing the winter, E. umbellata var. coreana, M. domestica 'Alps Otome', P. mume, and V. corymbosum 'Reka' showed the highest survival rate, in contrast to R. nigrum with the lowest of 56.0%. In 9 months after planting, the hight growth rate of 62.3% was shown in P. mume but that of E. umbellata var. coreana was stagnant during experimental period. Flowering rate over 80.0% were shown in E. umbellata var. coreana, M. domestica 'Alps Otome', R. fructicosus, and V. corymbosum 'Reka'. On the other hand, R. nigrum has not ever flowering branches. Other species except E. umbellata var. coreana and R. nigrum have about 10 days in flowering duration. After flowering, fruition rate has shown significant difference among 6 species. As a result of both treatment of trickle irrigation and shading, leaf area and leaf weight of E. umbellata var. coreana, M. domestica 'Alps Otome' significantly inceased with treatments that have not affected other species. Based on these result, it is possible to deploy suitable fruit trees to specific garden condition after selecting various fruit trees.

• The Transactions of the Korea Information Processing Society
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• v.13 no.6
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• pp.284-290
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• 2024

Speech emotion recognition (SER) is a technique that is used to analyze the speaker's voice patterns, including vibration, intensity, and tone, to determine their emotional state. There has been an increase in interest in artificial intelligence (AI) techniques, which are now widely used in medicine, education, industry, and the military. Nevertheless, existing researchers have attained impressive results by utilizing acted-out speech from skilled actors in a controlled environment for various scenarios. In particular, there is a mismatch between acted and spontaneous speech since acted speech includes more explicit emotional expressions than spontaneous speech. For this reason, spontaneous speech-emotion recognition remains a challenging task. This paper aims to conduct emotion recognition and improve performance using spontaneous speech data. To this end, we implement deep learning-based speech emotion recognition using the VGG (Visual Geometry Group) after converting 1-dimensional audio signals into a 2-dimensional spectrogram image. The experimental evaluations are performed on the Korean spontaneous emotional speech database from AI-Hub, consisting of 7 emotions, i.e., joy, love, anger, fear, sadness, surprise, and neutral. As a result, we achieved an average accuracy of 83.5% and 73.0% for adults and young people using a time-frequency 2-dimension spectrogram, respectively. In conclusion, our findings demonstrated that the suggested framework outperformed current state-of-the-art techniques for spontaneous speech and showed a promising performance despite the difficulty in quantifying spontaneous speech emotional expression.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.101-107
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• 2014

With the development of online service, recent forms of databases have been changed from static database structures to dynamic stream database structures. Previous data mining techniques have been used as tools of decision making such as establishment of marketing strategies and DNA analyses. However, the capability to analyze real-time data more quickly is necessary in the recent interesting areas such as sensor network, robotics, and artificial intelligence. Landmark window-based frequent pattern mining, one of the stream mining approaches, performs mining operations with respect to parts of databases or each transaction of them, instead of all the data. In this paper, we analyze and evaluate the techniques of the well-known landmark window-based frequent pattern mining algorithms, called Lossy counting and hMiner. When Lossy counting mines frequent patterns from a set of new transactions, it performs union operations between the previous and current mining results. hMiner, which is a state-of-the-art algorithm based on the landmark window model, conducts mining operations whenever a new transaction occurs. Since hMiner extracts frequent patterns as soon as a new transaction is entered, we can obtain the latest mining results reflecting real-time information. For this reason, such algorithms are also called online mining approaches. We evaluate and compare the performance of the primitive algorithm, Lossy counting and the latest one, hMiner. As the criteria of our performance analysis, we first consider algorithms' total runtime and average processing time per transaction. In addition, to compare the efficiency of storage structures between them, their maximum memory usage is also evaluated. Lastly, we show how stably the two algorithms conduct their mining works with respect to the databases that feature gradually increasing items. With respect to the evaluation results of mining time and transaction processing, hMiner has higher speed than that of Lossy counting. Since hMiner stores candidate frequent patterns in a hash method, it can directly access candidate frequent patterns. Meanwhile, Lossy counting stores them in a lattice manner; thus, it has to search for multiple nodes in order to access the candidate frequent patterns. On the other hand, hMiner shows worse performance than that of Lossy counting in terms of maximum memory usage. hMiner should have all of the information for candidate frequent patterns to store them to hash's buckets, while Lossy counting stores them, reducing their information by using the lattice method. Since the storage of Lossy counting can share items concurrently included in multiple patterns, its memory usage is more efficient than that of hMiner. However, hMiner presents better efficiency than that of Lossy counting with respect to scalability evaluation due to the following reasons. If the number of items is increased, shared items are decreased in contrast; thereby, Lossy counting's memory efficiency is weakened. Furthermore, if the number of transactions becomes higher, its pruning effect becomes worse. From the experimental results, we can determine that the landmark window-based frequent pattern mining algorithms are suitable for real-time systems although they require a significant amount of memory. Hence, we need to improve their data structures more efficiently in order to utilize them additionally in resource-constrained environments such as WSN(Wireless sensor network).

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.4
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• pp.60-75
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• 2014

The purpose of this study was to look for useful implications in its next application or similar planning by assessing visitors' recognition of International Garden Exposition Suncheon Bay Korea 2013. To do this, blogs acknowledged as powerful communication media in modern information society were used. After searching for blogs related to International Garden Exposition Suncheon Bay Korea in the portal site ranked first in the domestic market share, this study classified 300 cases. This study was able to grasp the consciousness as bloggers gave descriptions of information and impressions and experiences of spaces without making any adjustments. The survey results are as follows: First, Dutch gardens were the most preferred, followed by Korean gardens, Chinese gardens and French gardens; in general, visitors were not satisfied with the national gardens. Inquiry is needed into the method of determining diverse cultural identity rather than a sample garden type through blogs delivering regret regarding the world gardens. Second, the survey results showed that the level of awareness of designers' gardens was low. This study judges that more emphasis should be placed on their roles as places speaking for the original purpose of the garden exposition which introduces gardening art and design through experimental design. Third, it was understood that many bloggers were deeply impressed by ephemeral landscapes like the change in landscape consequent on the elapse of time, distinctive atmosphere, and detailed-landscapes. These aspects are important landscape elements, and those elements should be addressed with weight in a subsequent study. Fourth, the most impressive places are 'Suncheon Lake Garden' and 'Bridge of Dreams', which are establishing themselves as icons of International Garden Exposition Suncheon Bay Korea 2013. However, relatively, public attitude towards the world gardens and designers' gardens are weak. Fifth, bloggers were providing a variety of information like transportation, events schedules, ticket purchasing & prices, discount information, etc. Ticket price was commented on the most, and most of the bloggers thought ticket prices were 'expensive'. This study understands such a phenomenon as a result of the general population's non-establishment of the perception that it's proper to view gardens at visitors' own expense. Generally, bloggers expressed satisfaction with International Garden Exposition Suncheon Bay Korea 2013, but with criticism as well. Their criticism included disappointing matters, to be improved upon and wishes without any distortion, providing meaningful implications deserving reference for similar cases. In this context, a blogger could be called a citizen-reviewer while a blog could be referred to as 'a field of informal discourse' for the public. As a research method of this study, blogs are difficult to interpret as they are subjective and personal, and have limited data analysis through their quantifications; however, blogs as methods of recognition survey are channels for varied, concrete and detailed awareness which are hard to grasp through a questionnaire survey or interviews. This study judges that such an aspect of a blog could be a useful means of grasping and reflecting upon visitors' attitude in future studies.

• Cartoon and Animation Studies
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• s.33
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• pp.1-29
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• 2013

Surrealism with the excavation of unconsciousness, seeking for the infinity etc. has established views on aesthetics that conflict traditional western rationalism. The main concern of surrealism is problem of identity and difference. They attempted their own mysterious concept such as 'the marvelous', 'convulsive beauty', 'object chance' etc. These unique views on aesthetics was expressed as various style of art. It is the d$\acute{e}$paysemant that exists one of the typical style in surrealism. D$\acute{e}$paysemant means that objects are taken from be originally place. Therefore, The real world's objects is to leave and change environment from real space as use, ability, meaning of origin. or it is the technique to create surreal illusion that combined to a strange place where relates to extraneous attribute of objects. Namely, objects are newly arranged in expression space. Reconstitutive objects by positioning object over the time and space have given us the marvelous and psychological shock and get unfamiliar meaning and feeling over. This paper is tried to look at the way to use the d$\acute{e}$paysemant which applicated in the media, Especially, focusing on animation. Unlike the other media, animation has its unique artistic characters. First, One of the media characteristics of the animation is creativity images of the hand drawn animation by shooting of frame by frame. The animation image which is created through arrangement obtain life force by unique motility. Works of Norman McLaren and Harry Smith are very interesting that the structural characteristics of the d$\acute{e}$paysemant. It consists with abstract forms and various moving images to let audience the feel characteristics of film. We can experience from these cases, numerous illusion fantasy like change over from creature to inanimate object, space and time, creation and extinction, repetition and metamorphosis etc. One of the main apparat is the emphasis of d$\acute{e}$paysemant in space of frame. In conclusion, d$\acute{e}$paysemant is one of the most characteristic expression technique of surrealism while having inevitable linkage with animation.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.4
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• pp.477-484
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• 2014

The purpose of this study was to examine the anti-inflammatory effects of ginger and processed (Beopje) ginger on colitis induced by 2.5% dextran sulfate sodium (DSS) in Balb/c mice. Beopje means a process that herbal medicines are treated by a specific Korean traditional method in order to obtain better pharmacological effects. Mice were fed saline or two different doses of ethanol extracts (ginger and processed (Beopje) ginger) once a day for 14 days. Colitis was induced from day 7 to 14 via administration of 2.5% DSS in drinking water. Experimental animals were divided into four groups: Nor (Normal, 200 ${\mu}L$ of saline without 2.5% DSS-treated group), Con (Control, 200 ${\mu}L$ of saline and 2.5% DSS treated group), G (500 mg/kg of ginger and 2.5% DSS treated group), and BG (500 mg/kg of Beopje ginger and 2.5% DSS treated group). Body weights of both ginger-administered groups increased compared to the control. Colon length increased to 7.6, and 8.0 cm in the G and BG groups, respectively, whereas that of control was 5.7 cm. Histological colon injury induced by DSS-induced colitis was reduced (P<0.05). In serum and DSS-treated colon tissues, mRNA expression levels of IFN-${\gamma}$, IL-6, TNF-${\alpha}$, and IL-12 of the Beopje ginger-treated group were significantly suppressed compared to those of the ginger-treated groups. Expression levels of iNOS and COX-2 of the Beopje ginger-treated group were significantly reduced compared to those of the ginger-treated groups (P<0.05), and BG showed stronger anti-inflammatory effects on colitis. These results indicated that ginger exerted anti-inflammatory effects on DSS-induced colitis in mice, and its effects could be increased through Beopje.