• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.620-622
• /
• 2021

With the rise of the game industry, the importance of the game's storytelling is also increasing. Delivering a specific world view of a game has a tremendous effect on the immersion of the game, so the method of delivering a story needs to be studied continuously. In this study, the character was implemented using 3D modelling tool, and the initial story of the game was delivered through a dialogue window using a game engine. Through the research, we were able to establish a workflow for telling stories using a character and understand each process in depth, which we expect to be the basis for more sophisticated game character development and smooth storytelling in the future.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.9 no.1
• /
• pp.173-187
• /
• 2007

The purposes of this study were to examine the consumer's behavior on the brands applying the characters by gender, age and residential district, and then to propose the future planning of brands applying the characters and distribution strategies. From Junior on middle school to forty-year olds were selected for this study and areas were grouped to five for comparing the residential distinction. The questionnaire was consisted with 25 questions. Nominal scale and 5-interval scale were used for analysis. The SPSS 12.0 was used to analyze the technical statistics such as average, frequency, t-test, ANOVA, and $x^2$. The results of this study were as follows : 1) The characters influenced on remembering the brand's name regardless gender, agen and residential district. 2) When consumer bought the brand with character, the most important factor is the brand name recognition. 3) It would be desirable to use the one or two mixed methods which express the characters on the clothes. 4) When they distribute the character brands, they would supply more feminine characters in 3rd district, more manly one in 4th district and less quantities in the 3rd and 4th district for lowering inventory. The next must be follow to succeed the character using strategy of fashion brands. It is needed to segment the target for new character creation of specific generation, and to grasp the point of the trend which oriented by the target, and to reflect what they like and what they feel sympathy on character image and brand concept.

• Journal of the Korean Society of Costume
• /
• v.65 no.7
• /
• pp.75-85
• /
• 2015

The purpose of this study is to examine ways to vitalize cause related marketing (CRM) by proposing character T-shirts The campaign will employ Neo-Pop art, a genre popular with both companies and consumers. Study results are as follows: First, campaign T-shirts on the issue of human alienation resulting from digitalization can be utilized to generate financial profit that can be returned to society. This can lead to the acts of exchange for profit generation, public image improvemen of companies, and enhancement of their external status. As for the non-financial aspect, the campaign could lead to increased awareness of social issues and present opportunities to take actions of improvement. Second, the financial objective of character T-shirts dealing with environmental issue of sustainability involves brand distribution network support and revitalization of promotion such as shopping basket of love and eco-friendly store matching program for eco-friendly campaign. As for the non-financial aspect, it can help raise consumers' awareness of cause related activities such as crowd funding and fundraising and prepare opportunities of direct participation. Third, the financial objective of character T-shirts dealing with natural disaster relief activities on the global level involves brand recognition level increase and enhancement of positive association of companies through emergency relief and articles support as a result of drastic increases in casualties from nature disasters. As for the non-financial aspect, it can induce people's participation in relief activities and lead to the establishment of crisis response procedures. The information on the development of pop-art character T-shirts proposed in this study is expected to be used as basic information on cause marketing of fashion companies in the future, while providing inspiration to related fashion design.

• Journal of KIISE:Computing Practices and Letters
• /
• v.16 no.5
• /
• pp.546-550
• /
• 2010

In this paper, we propose a method for the postprocessing of cursive script recognition in Wine Label Images. The proposed method mainly consists of three steps: combination matrix generation, character combination filtering, string matching. Firstly, the combination matrix generation step detects all possible combinations from a recognition result for each of the pieces. Secondly, the unnecessary information in the combination matrix is removed by comparing with bigram of word in the lexicon. Finally, string matching step decides the identity of result as a best matched word in the lexicon based on the levenshtein distance. An experimental result shows that the recognition accuracy is 85.8%.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2008.11a
• /
• pp.63-66
• /
• 2008

Not only mechanical properties, bonding properties, electro chemical properties, etc. but also fire safety is required in patch repair materials such as polymer modified cement mortar (PCM) which are used to deteriorated reinforced concrete structure. Unfortunately, it is very difficult to choice the appropriate repair materials because there are not enough information about fire safety properties of PCM. In this study, The combustion characters of PCM were evaluated through the heat release rate test and non-combustibility test. The pyrogenicity test uses the cone calorimeter based on the oxygen consumption method. The non-combustibility test is from the temperature change inside the furnace during the test. The effect of the types of polymer and polymer content were evaluated from the series of test. The results are like followings. 1) The higher the W/C of PCM, the lower the gross calorific value and heat generation rate in the heat release rate test. The amount of heat generation of PCM is like the order of VVA, EVA, and SBR in this study. 2) Some materials such as E45-100, E50-100, E60-100, S50-50, and S50-100 were estimated as not appropriate building materials in the non combustibility test.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.12 no.3
• /
• pp.438-444
• /
• 2008

In this study, we propose a automatic facial expression generation tool which can generate various facial expressions efficiently for animation characters expressing various emotion. For this purpose, 9 types of facial expressions were defined by adopting Russell's pleasure-displeasure and arousal-sleep coordinate values of infernal states. And by rendering specific coordinate values consisted of the two basic dimensions of emotion(i.e., dimensions of pleasure-displeasure and arousal-sleep) and their combination, the proposed automatic facial expression generation tool could yield various facial expressions which reflected subtle changes in characters' emotion. It is expected that the tool could provide useful method of generating character face with various emotion.

• English & American cultural studies
• /
• v.14 no.2
• /
• pp.23-48
• /
• 2014

Considered as the first generation of the Chinese American male writers, Shawn Wong has often been tagged with the male-centered or cultural nationalistic writer for his first short novel Homebase since the 1970s. He has, however, shifted his own gender and cultural attitudes toward his male character in his second novel American Knees, published in 1995. By focusing on his second novel, this paper examines how Wong critically reconsiders the male-centeredness and cultural nationalism in a way to invalidate them in relationships among male and female characters in the formation of the Chinese American male's identity. Attempting to establish his own national and cultural identity as an American citizenship and the self-awareness of masculinity as a man, Rainsford Chan in Homebase believed that he could achieve his identity and masculinity with the chronological experiences related to his ancestors in American society. He even strictly erased the presence of female in his own identity formation. In doing so, he seemed to anchor his authorship at the discourse of the male-centeredness and cultural nationalist like other contemporary writers such as Frank Chin and Jeffrey Paul Chan who always strongly marked cultural tradition. By creating a non-conventional male character Raymond Ding with compromising and open-eared attitudes toward female characters, however, Wong dramatically changes the idea of representing the relationships between male and female characters in American Knees. In this novel, he suggests that the male character' identity can be properly formed not in the extreme reinforcement of masculinity or the ethnic-based cultural awareness but with the mutual understanding between male and female individuals regardless of ethnic and nationalistic biases. Consequently, Wong attempts to bail out of the male-centered images of the first generation of the Chinese American male writers through Raymond Ding.

• Journal of Broadcast Engineering
• /
• v.24 no.6
• /
• pp.1076-1084
• /
• 2019

In this paper, we introduced a system that extracts metadata by recognizing characters and objects in media using deep learning technology. In the field of broadcasting, multimedia contents such as video, audio, image, and text have been converted to digital contents for a long time, but the unconverted resources still remain vast. Building media archives requires a lot of manual work, which is time consuming and costly. Therefore, by implementing a deep learning-based metadata generation system, it is possible to save time and cost in constructing media archives. The whole system consists of four elements: training data generation module, object recognition module, character recognition module, and API server. The deep learning network module and the face recognition module are implemented to recognize characters and objects from the media and describe them as metadata. The training data generation module was designed separately to facilitate the construction of data for training neural network, and the functions of face recognition and object recognition were configured as an API server. We trained the two neural-networks using 1500 persons and 80 kinds of object data and confirmed that the accuracy is 98% in the character test data and 42% in the object data.

• Journal of the Korea Computer Graphics Society
• /
• v.29 no.5
• /
• pp.11-20
• /
• 2023

In this paper, we propose a novel deep learning-based motion reconstruction approach that facilitates the generation of full-body motions, including finger motions, while also enabling the online adjustment of motion generation delays. The proposed method combines the Vive Tracker with a deep learning method to achieve more accurate motion reconstruction while effectively mitigating foot skating issues through the use of an Inverse Kinematics (IK) solver. The proposed method utilizes a trained AutoEncoder to reconstruct character body motions using tracker data in real-time while offering the flexibility to adjust motion generation delays as needed. To generate hand motions suitable for the reconstructed body motion, we employ a Fully Connected Network (FCN). By combining the reconstructed body motion from the AutoEncoder with the hand motions generated by the FCN, we can generate full-body motions of characters that include hand movements. In order to alleviate foot skating issues in motions generated by deep learning-based methods, we use an IK solver. By setting the trackers located near the character's feet as end-effectors for the IK solver, our method precisely controls and corrects the character's foot movements, thereby enhancing the overall accuracy of the generated motions. Through experiments, we validate the accuracy of motion generation in the proposed deep learning-based motion reconstruction scheme, as well as the ability to adjust latency based on user input. Additionally, we assess the correction performance by comparing motions with the IK solver applied to those without it, focusing particularly on how it addresses the foot skating issue in the generated full-body motions.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.31 no.7 s.262
• /
• pp.747-755
• /
• 2007

To improve the reality of motion simulator, the method of data-driven motion generation has been introduced to simply record and replay the motion of real vehicles. We can achieve high quality of reality from real samples, but it has no interactions between users and simulations. However, in character animation, user controllable motions are generated by the database made up of motion capture signals and appropriate control algorithms. In this study, as a tool for the interactive data-driven driving simulator, we proposed a new motion generation method. We sample the motion data from a real vehicle, transform the data into the appropriate data structure(motion block), and store a series of them into a database. While simulation, our system searches and synthesizes optimal motion blocks from database and generates motion stream reflecting current simulation conditions and parameterized user demands. We demonstrate the value of the proposed method through experiments with the integrated motion platform system.