• Journal of the Korea Society of Computer and Information
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• v.15 no.2
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• pp.65-74
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• 2010

We propose a system that automatically recognizes the tense or relaxed condition of scrolling-shooting game subject that plays. Existing study compares the changed values of source of stimulation to the player by suggesting the source, and thus involves limitation in automatic classification. This study applies SOM of unsupervised learning for automatic classification and recognition of player's condition change. Application of SOM for automatic recognition of tense and relaxed condition is composed of two steps. First, ECG measurement and analysis, is to extract characteristic vector through HRV analysis by measuring ECG after having the player play the game. Secondly, SOM learning and recognition, is to classify and recognize the tense and relaxed conditions of player through SOM learning of the input vectors of heart beat signals that the characteristic extracted. Experiment results are divided into three groups. The first is HRV frequency change and the second the SOM learning results of heart beat signal. The third is the analysis of match rate to identify SOM learning performance. As a result of matching the LF/HF ratio of HRV frequency analysis to the distance of winner neuron of SOM based on 1.5, a match rate of 72% performance in average was shown.

• Nutrition Research and Practice
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• v.1 no.2
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• pp.150-157
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• 2007

This study analyzed Kimchi eating culture in 178 households with female middle school children located in Incheon and Seosan areas, investigated the Kimchi eating patterns of female middle school students, and also analyzed the differences in value recognition for Kimchi between mothers and their female middle school students. Results showed that 23.0% of subject households answered eat Kimchi at every meal and the main reason for eating Kimchi in most households was good for taste. Most households made their own Kimchi, and only 12.3% of households bought Kimchi. Subject households preferred hot and spicy taste (34.8%) and pleasing taste (20.2%), and 44.4% of middle school children answered as eating Kimchi at every meal, and the source for information on Kimchi was home in 51.6% and mass media in 33.7%, suggesting the lack of school education. Both mothers and their female middle school students placed high value on Kimchi for its nutritional aspect and on Kimchi from the market for its convenience. Mothers showed significantly higher value (p<0.05) on the storage aspect of Kimchi compared to their middle school students, and female middle school students showed significantly higher value (p<0.05) on the value recognition for Kimchi as an international food compared to their mothers. Also, the value for hot pepper powder was high among other additional ingredients, and both mothers and middle school students had high values for Kimchi stew among other food dishes using Kimchi, and middle school students showed higher values (p<0.001) on foreign dishes using Kimchi such as Kimchi pizza and Kimchi spaghetti compared to the mothers group. Therefore, based on these results, the development of educational programs on Kimchi is needed not only at home but also at schools, by re-emphasizing the importance of value recognition for Klmchi in our food culture.

• Journal of Korea Game Society
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• v.9 no.5
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• pp.63-72
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• 2009

I-phone presented a new mobile control type by the introducing motion recognition sensor and that influenced on game application development so that led a lot of games using kinds of sensors. In this paper, we divided the game enjoyment into 5 factors for the embodiment of the sensor's influence direction on the enjoyment. We experimented two game, which have same content, different devices in using motion recognition sensor or not for clarifying the distinction between devices. As a experiment source game, we used Cooking Mama, as a experimental device, we used I-pod touch and NDS. This experiment shows a motion recognition sensor control's enjoyment is far superior to touch sensor. This sensor got high marks on every fun factors, stimulus, absorption, empathy, accomplishment and variation. Especially, stimulus and empathy showed great differences. In this case, we found the fact that extended communication between the gamer and the device can be fun.

• The Journal of Information Systems
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• v.11 no.1
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• pp.29-49
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• 2002

Recently the paradigm of business management has changed. The businesses have restored to ERP or BPR to integrate their information system. But now they are trying to find out a new competitiveness in tacit knowledge of individuals. The creative company has come to put much weigh on the value of their employee′s "non-patternized" knowledge. And this trend has seen a development into a theory of knowledge management in which "non-patternized" knowledge, along with explicit knowledge, is also considered as a source of competitiveness. With the hypothesis that the recognition of the knowledge management and the utilization of the information technology will have influence on the integration of the integrating the information system information system into a new phase, this study carries out a research on the effects of knowledge management and information technology on management achievement. According to this study the distribution of knowledge has an effect on the integration of information system and management achievement. The asset of knowledge, however, has little effect on them. This means that the recognition of the asset of knowledge alone can't affect the management achievement, but when combined with the recognition of the distribution of knowledge, it can have influence on the management achievement. Thus, a company has to enhance the recognition of the distribution of knowledge. And with this, a company can have a business management based on management achievement and the integration of information system utilizing information technology and the recognition of knowledge management. A company has to promote it business achievement by integrating the information system utilizing information technology and recognizing knowledge management.

• Korean journal of food and cookery science
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• v.33 no.2
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• pp.237-245
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• 2017

Purpose: This research was conducted to provide basic data on Kimchi consumption of high school students by determining their recognition and preferences related to Kimchi. Methods: Our survey was administered to 450 high school students in the Incheon area from September 1 to October 30, 2015. A total of 412 questionnaires were used for the final analysis. Results: Most students (42.6%) consumed Kimchi every meal (more than 3 meals/day), and only 3.6% did not consume Kimchi at all. The most common reason for consuming Kimchi was 'tasty' (46.4%). On the other hand, those who did not consume Kimchi cited 'preference for other side dishes' (50.0%). 'Home-made Kimchi' was the most common source of consumed Kimchi (63.0%). With respect to recognition of Kimchi, most cited terms were 'traditional' ($4.64{\pm}0.58$), followed by 'healthy' ($4.30{\pm}0.77$) and 'prefer home-made' ($3.88{\pm}0.93$) (p<0.001). The average preference for Kimchi was $3.71{\pm}1.07$. The most common reason for preferences was 'crisp texture' (37.6%). The most popular flavor was 'spicy' (33.6%), and the most popular fermentation level was 'appropriate' (55.6%). When preferences for Kimchi were further analyzed, 'baechu Kimchi' (4.18) was the most popular. Further, Kimchi is a popular ingredient for many dishes, and the most popular dish was 'stir-fried pork with Kimchi' (4.50). Conclusion: In the future, positive recognition of Kimchi consumption can be promoted through nutrition education and various advertisements. Furthermore, efforts should be made to establish the principles of traditional Korean food for students.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.8
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• pp.656-663
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• 2001

This paper presents a sensor fusion method to recognize a cylindrical object a CCD camera, a laser slit beam and ultrasonic sensors on a pan/tilt device. For object recognition with a vision sensor, an active light source projects a stripe pattern of light on the object surface. The 2D image data are transformed into 3D data using the geometry between the camera and the laser slit beam. The ultrasonic sensor uses an ultrasonic transducer array mounted in horizontal direction on the pan/tilt device. The time of flight is estimated by finding the maximum correlation between the received ultrasonic pulse and a set of stored templates - also called a matched filter. The distance of flight is calculated by simply multiplying the time of flight by the speed of sound and the maximum amplitude of the filtered signal is used to determine the face angle to the object. To determine the position and the radius of cylindrical objects, we use a statistical sensor fusion. Experimental results show that the fused data increase the reliability for the object recognition.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.2 s.95
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• pp.39-49
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• 1999

This paper describes the development of a vision-aided position and orientation recognition system for automatically adjusting electronic tuners which control the waveform by rotating variable resisters. The position and orientation recognition system estimates the center and the angle of the tuner grooves so that the main controller may correct the difference from the ideal position and thereby manipulate the variable resisters automatically. In this paper a robust algorithm is suggested which estimates the center and the angle of the tuner grooves fast and precisly from the source image with lighting variance and video noise. In the algorithm morphological filtering, 8-chain coding, and invariant moments are sequentially used to figure out image segments concerned. The performance of the proposed system was evaluated using a set of real specimens. The results indicate the system works well enough to be used practically in real manufacturing lines. If the system adopts a high speed frame grabber which enables real time image processing, it can also be applied to positioning of robot manipulators as well as automated PCB adjusters.

• The Transactions of the Korea Information Processing Society
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• v.7 no.11
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• pp.3584-3591
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• 2000

In this paper we propose measure for performance evaluationof character recognition, We used three commercial character recognizers and one laboratory character recognizer for test. The characteristics of each recognizer is compared by proposed evaluation standrd, and analyzed characteristrics For the input test data, KT test collection are used. KT test collection is composed of 1000 document images about and complete source text. In this paper we propose method for measuring recognition rage in character unit for evaluation of character recogrition, The recogrition rates are compared and analyzed by single feature characteristic or mixed feature characteristic.

• International Journal of Contents
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• v.15 no.4
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• pp.8-15
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• 2019

This paper presents a solution of the 'Quick, Draw! Doodle Recognition Challenge' hosted by Google. Doodles are drawings comprised of concrete representational meaning or abstract lines creatively expressed by individuals. In this challenge, a doodle is presented as a sequence of sketches. From the view of at the sketch level, to learn the pattern of strokes representing a doodle, we propose a sequential model stacked with multiple convolution layers and Long Short-Term Memory (LSTM) cells following the attention mechanism [15]. From the view at the image level, we use multiple models pre-trained on ImageNet to recognize the doodle. Finally, an ensemble and a post-processing method using the minimum cost flow algorithm are introduced to combine multiple models in achieving better results. In this challenge, our solutions garnered 11th place among 1,316 teams. Our performance was 0.95037 MAP@3, only 0.4% lower than the winner. It demonstrates that our method is very competitive. The source code for this competition is published at: https://github.com/ngxbac/Kaggle-QuickDraw.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.11 no.10
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• pp.940-945
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• 1998

In this paper, we obtained the data, which is required in training the neural network and diagnosing the degradation degree, by introducing the AE detection that is effective method in ordinary degradation diagnosis on activation. Aa the results of generalization tests by appling neural network to the unknown AE patterns obtained from two kinds of specimen, firstly as to evaluate an objective performance of neural network, the recognition ration for no-void specimen and 1[mm] -void specimen are appeared to be 98.9% and 92.5%, respectively. Also, in the evaluation of the adaptability of neural network with a new type of 0.2[mm] -void specimen, it is confirmed that the result appears to be 64% of recognition ratio at 94% of confidence interval coefficient in expectation output 0.2. On the other hand, the recognition capability of the neural network was confirmed by data from no-void and 1[mm] void specimen. The results prove the promising possibility of the application of ANN to discriminate specific void affecting as main degradation source at partial discharge condition in insulator containing multi-void by accummulated data base.