• Korean Journal of Remote Sensing
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• v.18 no.6
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• pp.359-367
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• 2002

In this paper, a new embedded wavelet packet image coder algorithm is proposed for an effective image coder using correlation between partitioned coefficients. This new algorithm presents parent-child relationship for reducing image reconstruction error using relations between individual frequency sub-bands. By parent-child relationship, every coefficient is partitioned and encoded for the zerotree data structure. It is shown that the proposed wavelet packet image coder algorithm achieves low bit rates and rate-distortion. It also demonstrates higher PSNR under the same bit rate and an improvement in image compression time. The perfect rate control is compared with the conventional method. These results show that the encoding and decoding processes of the proposed coder are simpler and more accurate than the conventional ones for texture images that include many mid and high-frequency elements such as aerial and satellite photograph images. The experimental results imply the possibility that the proposed method can be applied to real-time vision system, on-line image processing and image fusion which require smaller file size and better resolution.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.355-358
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• 2009

Due to growth of electronics and control devices, automation and situational awareness systems have been applied by automobile. Vision systems with the introduction of unmanned system being actively developed, but are still high price and visual information is passed through the cable, because of cars are difficult to install. In this paper, can be installed inside the car at low-cost, simple image processing device through a wireless communication know the obstacles and the alarm system based on Zigbee wireless communication, infrared and ultrasonic sensors to monitor the situation through with easy parking cars outside the system design was implemented.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.288-296
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• 2021

Automated face recognition in a runtime environment is gaining more and more important in the fields of surveillance and urban security. This is a difficult task keeping in mind the constantly volatile image landscape with varying features and attributes. For a system to be beneficial in industrial settings, it is pertinent that its efficiency isn't compromised when running on roads, intersections, and busy streets. However, recognition in such uncontrolled circumstances is a major problem in real-life applications. In this paper, the main problem of face recognition in which full face is not visible (Occlusion). This is a common occurrence as any person can change his features by wearing a scarf, sunglass or by merely growing a mustache or beard. Such types of discrepancies in facial appearance are frequently stumbled upon in an uncontrolled circumstance and possibly will be a reason to the security systems which are based upon face recognition. These types of variations are very common in a real-life environment. It has been analyzed that it has been studied less in literature but now researchers have a major focus on this type of variation. Existing state-of-the-art techniques suffer from several limitations. Most significant amongst them are low level of usability and poor response time in case of any calamity. In this paper, an improved face recognition system is developed to solve the problem of occlusion known as FRS-OCC. To build the FRS-OCC system, the color and texture features are used and then an incremental learning algorithm (Learn++) to select more informative features. Afterward, the trained stack-based autoencoder (SAE) deep learning algorithm is used to recognize a human face. Overall, the FRS-OCC system is used to introduce such algorithms which enhance the response time to guarantee a benchmark quality of service in any situation. To test and evaluate the performance of the proposed FRS-OCC system, the AR face dataset is utilized. On average, the FRS-OCC system is outperformed and achieved SE of 98.82%, SP of 98.49%, AC of 98.76% and AUC of 0.9995 compared to other state-of-the-art methods. The obtained results indicate that the FRS-OCC system can be used in any surveillance application.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.609-619
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• 2019

The study aims to present a solution to the problem of police physical fitness tests as police officers, who tried to subdue the drunk in a video clip titled "Darim-dong female police officer Assault" in May in Seoul, showed a rather lethargic figure, such as being pushed out of a physical fight with the suspect. The police physical fitness test is subject to criticism as it consists of items that are difficult to apply in real life despite having to be linked to job performance. The problem is that the physical fitness test events are not realistic, the physical fitness test standards are set too low, and their credibility is not reliable due to the imbalance of standards between men and women and the vision culture of physical fitness testing methods. First of all, we hope that the Republic of Korea will become a world-class security powerhouse by upgrading its physical fitness standards and establishing a scientific fitness test system for preventing injuries and effectively measuring physical strength.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.1
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• pp.17-33
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• 2019

The purpose of this study is to understand the present status of the international textile fashion conventions and the Korean textile fashion conventions in order to secure competitiveness in the textile fashion industry and to discover the satisfaction of the convention and to develop an improvement plan of the current textile and fashion conventions in Korea. For the method of study, five representative conventions of domestic and foreign textiles and fashion were selected and case analyses were conducted focusing on relevant reports. Also, the satisfaction and improvement of the conventions for companies, buyers and visitors attending the Preview in Seoul(PIS) convention were surveyed. The first result of the study was that international textile and fashion conventions have clarified their identity according to changes in the market environment and buyer's interest. For example, the professional exhibition changed the nature of the comprehensive convention or made it easier for many related businesses and buyers to attend the convention by sharing the same convention period and location with other conventions. In addition, the convention hall has been constructed to display promising items, such as eco-friendly materials and smart materials. Second, participating companies, buyers and visitors of the Preview in Seoul (PIS) convention were generally satisfied with the convention, but were aware of the need for change. In particular, the satisfaction level with the number and level of new buyers at home and abroad, the number of counseling sessions and the quality level were also found to be low.

• Journal of the Regional Association of Architectural Institute of Korea
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• v.20 no.6
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• pp.47-54
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• 2018

The purpose of this study is to verify the long - range measurement performance for practical field application of VDMS. The reliability of the VDMS was verified by comparison with the existing monitoring sensor, GPS, Accelerometer and LDS. It showed the ability to accurately measure the dynamic displacement by tracking a motion of free vibration of target. And using the PSD function of measured data, the results in the frequency domain were also analyzed. We judged that VDMS is able to identify the higher system mode and has sufficient reliability. Based on the reliability verification, we conducted tests for long-distance applicability for actual application of VDMS. The distance from the stationary target model structure was increased by 50m interval, and the maximum distance was set to 400m. From the distance of 150m, the image obtained by the commercial camcorder has an error in the analysis, so the measured displacement comparison was performed between the LDS and the refractor telescope measurement results. In the measurement results of the displacement area of VDMS, the data validity was deteriorated due to the data shift by the external force and the quality degradation of the enlarged image. However, even under the condition that the effectiveness of the displacement measurement data of VDMS is low, the first mode characteristic included in the free vibration of the object is clearly measured. If the influence from the external environment is controlled and stable data is collected, It is judged that reliability of long-distance VDMS can be secured.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.117-122
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• 2019

In the field of fluid dynamics, the sloshing effects are most common and significant problem. It is usually appeared in the tank filled with fluid which is on the main structure, thus, sloshing effects and its impact load may affect to entire system. For the sloshing effects analysis, impact loads due to tank motion is generally investigated theocratically, experimentally and numerically. The difficulty of sloshing phenomenon is non-linearity induced by large deformation at the free-surface. In this regard, it is well known issue that the repeatability on the sloshing problems is very low. In this study, moving particle semi-implicit method was employed to simulate sloshing problem and then the results were compared with corresponding experiments captured by high accuracy high speed camera. The results from numerical simulation was compared to experimental results.

• Journal of IKEEE
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• v.23 no.1
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• pp.207-213
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• 2019

In this paper, we propose a low-complexity feature detection algorithm for object tracking and present hardware architecture design and implementation results for real-time processing. The existing Shi-Tomasi algorithm shows good performance in object tracking applications, but has a high computational complexity. Therefore, we propose an efficient feature detection algorithm, which can reduce the operational complexity with the similar performance to Shi-Tomasi algorithm, and present its real-time implementation results. The proposed feature detector was implemented with 1,307 logic slices, 5 DSP 48s and 86.91Kbits memory with FPGA. In addition, it can support the real-time processing of 54fps at an operating frequency of 114MHz for $1920{\times}1080FHD$ images.

• Clinical and Experimental Pediatrics
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• v.63 no.11
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• pp.433-437
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• 2020

Background: Indonesia is one of the countries with the highest preterm birth rate. Preterm infants are more likely than term and normal weight infants to experience neonatal mortality and morbidity due to acute respiratory, gastrointestinal, immunologic, central nervous system, hearing, and vision problems. Kangaroo mother care (KMC) is a proven cost-effective intervention to help reduce mortality rates among preterm infants; however, it has not been fully implemented in hospitals. Purpose: Assess KMC knowledge and perceptions among health providers. Methods: This qualitative study was conducted from December 2015 to April 2016 and consisted of 21 in-depth interviews and 3 focus group discussions (FGDs). The 3 categories of health personnel in the study were clinical providers, hospital management representatives, and Indonesian Midwife Association members. Results: Most health providers know about the benefits of KMC including stabilizing temperatures, weight gain, and maternal-infant bonding and reducing human resources and labor costs. They were also aware of which newborns were eligible for KMC treatment. Their knowledge was mostly gained from observation or obtained from pediatricians and personal experience. They believed that a low birth weight infant in an incubator could not be treated with KMC and that it could only be practiced if a special gown was used when holding the baby. This perception could be caused by a lack of formal KMC training, leading to misunderstanding of its aspects. Conclusion: In conclusion, KMC knowledge of clinical providers in the 2 hospitals was sufficient, primarily due to their health-related educational background. Some perceptions could be potential barriers to or facilitate the implementation of KMC practice. These perceptions should be considered in future KMC training designs.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.53-59
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• 2018

Due to the recent developments in computer vision technology, complex actions can be recognized with reasonable accuracy in smart cities. In contrast, violence recognition such as events related to fight and knife, has gained less attention. The capability of visual surveillance can be used for detecting fight in streets or in prison centers. In this paper, we proposed a deep learning-based violence recognition method for surveillance cameras. A convolutional neural network (CNN) model is trained and fine-tuned on available benchmark datasets of fights and knives for violence recognition. When an abnormal event is detected, an alarm can be sent to the nearest police station to take immediate action. Moreover, when the probabilities of fight and knife classes are predicted very low, this situation is considered as normal situation. The experimental results of the proposed method outperformed other state-of-the-art CNN models with high margin by achieving maximum 99.21% accuracy.