• Journal of the Korea Society of Computer and Information
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• 제29권5호
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• pp.85-91
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• 2024

With the current surge in leisure sports activities involving firearms and the costly shooting practices in the military, there's a growing interest in using virtual reality as a cost-effective alternative. This study proposes a system that addresses the drawbacks of existing shooting practice setups, such as dim spaces and high installation costs, by making it feasible on large display screens. The system integrates IR receivers and guns for practice, ensuring usability and efficiency through an application. Additionally, an accuracy adjustment feature enhances precise coordination recognition. As a result, this cyber light gun system offers an affordable solution for outdoor training.

• Journal of the Institute of Electronics and Information Engineers
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• 제51권9호
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• pp.75-81
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• 2014

The integral image is the sum of input image pixel values. It is mainly used to speed up processing of a box filter operation, such as Haar-like features. However, large memory for integral image data can be an obstacle on an embedded hardware environment with limited memory resources. Therefore, an efficient method to store the integral image is necessary. In this paper, we propose a memory size reduction hardware design for integral image. The hardware design is used two methods. It is the new integral image memory and modulo calculation for reducing integral image data. The new integral image memory has additional calculation overhead, but it is not obstacle in hardware environment that parallel processing is possible. In the Xilinx Virtex5-LX330T targeted experimental result, integral image memory can be reduced by 50% on a $640{\times}480$ 8-bit gray-scale input image.

• Archives of design research
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• 제18권4호
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• pp.185-194
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• 2005

In the perspective of hybrid, design contains confused forms and styles. Thus, the question is what 'decisively affects' on life, happiness and peace of human beings: In the past scientific ecology that tries to solve the problem in the aspect of functional design was important. Now the question is beyond the scientific ecology because human has a different way of environmental adaptation from animals. From this point of view, design is defined as something beyond materialistic standard. Terry Eagleton said, 'Creative ability deviating oneself and transcending is the very standard to measure human beings' A tendency to hybridize one's own section off genre or pursuing dismantlement is found on such creative perspective. In other words, it focuses on making a space of human's cultural behavior by unifying creatively natural environment and architecture space in the organic aspect. Such phenomenon provides a new chance and possibility in environmental design through a new molding experiment according to the development of digital technology. As experiments of environment design using digital technology are actively implemented, ecological and cultural views hybridize to create a new cultural space of various functions and features. Such experiment in environment design highlights the connections of ecological view, recognition of value, and relation-centered ideas, and enables a tool pursuing a new cultural development. This study focuses on the paradigm of such digital hybrid design and purposes to set the system by analyzing the application styles and principles of environment design through theoretical and case studies. In addition, it promotes a new possibility to develop environment design in the history of civilization.

• The Journal of the Korea Contents Association
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• 제7권11호
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• pp.175-181
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• 2007

Design prototype is described from the stately aspect as a principle of formative art, and from the shapeable aspect of physical feature. The prototype can be a common denominator which is contained in one nation's culture, art and life, as the thing which corresponds to the daily industrial craft, architecture and art's production intention and activity with the thought and background of the culture. We have formed the design prototypes with time and space in the process which absorbs and integrates the new culture. Modern Korean design's prototype can be seen in the late Chosun. As the upper culture and sub-culture were combined, the active culture was developed. Nobody can deny that Chosun's culture and art becomes a basis of today's design and Korea's beauty. In creating the design prototype, the natural environmental factors such as topography and climate are the most important. Such natural environmental factor led the design recognition of art and craft art, as well as an architecture and indoor environment's form. Korea design produced the artisan sprite which is devoted to a moral duty and instinct as our nation's nature and emotion, and ensured the emotional process not the rational process. So, it created naturalism which accepted the material and shape. Our design prototype's path tracking as an energy of future society's new design identity, can be the important theme for our design development.

• Journal of Animal Science and Technology
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• 제63권2호
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• pp.367-379
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• 2021

The objectives of this study were to evaluate convolutional neural network models and computer vision techniques for the classification of swine posture with high accuracy and to use the derived result in the investigation of the effect of dietary fiber level on the behavioral characteristics of the pregnant sow under low and high ambient temperatures during the last stage of gestation. A total of 27 crossbred sows (Yorkshire × Landrace; average body weight, 192.2 ± 4.8 kg) were assigned to three treatments in a randomized complete block design during the last stage of gestation (days 90 to 114). The sows in group 1 were fed a 3% fiber diet under neutral ambient temperature; the sows in group 2 were fed a diet with 3% fiber under high ambient temperature (HT); the sows in group 3 were fed a 6% fiber diet under HT. Eight popular deep learning-based feature extraction frameworks (DenseNet121, DenseNet201, InceptionResNetV2, InceptionV3, MobileNet, VGG16, VGG19, and Xception) used for automatic swine posture classification were selected and compared using the swine posture image dataset that was constructed under real swine farm conditions. The neural network models showed excellent performance on previously unseen data (ability to generalize). The DenseNet121 feature extractor achieved the best performance with 99.83% accuracy, and both DenseNet201 and MobileNet showed an accuracy of 99.77% for the classification of the image dataset. The behavior of sows classified by the DenseNet121 feature extractor showed that the HT in our study reduced (p < 0.05) the standing behavior of sows and also has a tendency to increase (p = 0.082) lying behavior. High dietary fiber treatment tended to increase (p = 0.064) lying and decrease (p < 0.05) the standing behavior of sows, but there was no change in sitting under HT conditions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.50-53
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• 2022

Recently, there have been cases in which counterfeit foreign ships have entered and left domestic ports several times. Vessels have a ship-specific serial number given by the International Maritime Organization (IMO) to identify the vessel, and IMO marking is mandatory on all ships built since 2004. In the case of airports and ports, which are representative logistics platforms, a security system is essential, but it is difficult to establish a security system at a port and there are many blind spots, which can cause security problems due to insufficient security systems. In this paper, a port security system is designed using deep learning object recognition and OpenCV. The security system process extracts the IMO number of the ship after recognizing the object when entering the ship, determines whether it is the same ship through feature point matching for ships with entry records, and stores the ship image and IMO number in the entry/exit DB for the first arrival vessel. Through the system of this paper, port security can be strengthened by improving the efficiency and system of port logistics by increasing the efficiency of port management personnel and reducing incidental costs caused by unauthorized entry.

• Korean Institute of Interior Design Journal
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• 제23권2호
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• pp.90-98
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• 2014

This study has analyzed the meaning of observation time in the course of acquiring the information of subjects who observed the space of hall in subway stations to figure out the process of spatial information excluded and the features of intensive searching. The followings are the results from the analysis of searching process with the interpretation of the process for information acquirement through the interpretation of observation area and time. First, based on the general definition of observation time, the reason for analyzing the features of acquiring spatial information according to the subjects' observation time has been established. The feature of decreased analysis data reflected that of observation time in the process of perceiving and recognizing spatial information, which showed that the observation was focused on the enter of the space during the time spent in the process of observing the space and the spent time with considerable exclusion of bottom end (in particular, right bottom end). Second, while the subjects were observing the space of hall in subway stations, they focused on the top of the left center and the signs on the right exit the most, which was followed by the focus on the both side horizontally and the clock on the top. Third, the analysis of consecutive observation frequency enabled the comparison of the changes to the observation concentration by area. The difference of time by area produced the data with which the change to the contents of spatial searching in the process of searching space could be known. Fourth, as the observation frequency in the area of I changed [three times -> six times -> 9 times], the observation time included in the area increased, which showed the process for the change from perception to recognition of information with the concentration of attention through visual information. It makes it possible to understand that more time was spent on the information to be acquired with the exclusion of the unnecessary information around.

• Journal of the Korean Institute of Intelligent Systems
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• 제25권4호
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• pp.355-360
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• 2015

In this paper, we propose the design of Radial Basis Function Neural Network based on PCA in order to recognize handwritten digits. The proposed pattern classifier consists of the preprocessing step of PCA and the pattern classification step of pRBFNNs. In the preprocessing step, Feature data is obtained through preprocessing step of PCA for minimizing the information loss of given data and then this data is used as input data to pRBFNNs. The hidden layer of the proposed classifier is built up by Fuzzy C-Means(FCM) clustering algorithm and the connection weights are defined as linear polynomial function. In the output layer, polynomial parameters are obtained by using Least Square Estimation (LSE). MNIST database known as one of the benchmark handwritten dataset is applied for the performance evaluation of the proposed classifier. The experimental results of the proposed system are compared with other existing classifiers.

• Journal of Korea Game Society
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• 제9권5호
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• pp.105-115
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• 2009

This article proposes a design and implementation methodology of a gesture-based interface for augmented reality games. The topic of gesture-based augmented reality games is a promising area in the immersive future games using human body motions. However, due to the instability of the current motion recognition technologies, most previous development processes have introduced many ad hoc methods to handle the shortcomings and, hence, the game architectures have become highly irregular and inefficient This article proposes an efficient development methodology for gesture-based augmented reality games through prototyping a table tennis game with a gesture interface. We also verify the applicability of the prototyping mechanism by implementing and demonstrating the augmented reality table tennis game. In the experiments, the implemented prototype has stably tracked real rackets to allow fast movements and interactions without delay.

• Journal of the Institute of Electronics Engineers of Korea CI
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• 제47권1호
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• pp.73-79
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• 2010

Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.