• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.05a
• /
• pp.248-251
• /
• 2016

This thesis has discussed how to recognize and convert raised letters on tire to data and collect such data. Unlike the existing recognition system, the system presented by this thesis recognizes raised letters on tire through detecting letters after converting the Kinect camera image into image data in the preprocessing stage. After then, numbers and letters are analyzed through image improvement by use of binary images, noise filter, etc. In the recognition stage, letter distinction is used and raised letters on tire are recognized 100% through correction of errors by way of the correction algorithm for tire data recognition errors. In this paper it will be the development of a method of recognizing characters and the tire technology. Although there are many ways to the already recognized characters, Tire characters requires a technique different from the more general character recognition. For this reason and to develop additional technical methods and algorithms for character recognition.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38C no.2
• /
• pp.189-195
• /
• 2013

In this paper, a land and maritime unified tourism information guide system is proposed which employs robust speech recognition in ship noise environments. Most of conventional front-ends for speech recognition have used a Wiener filter to compensate for stationary noise such as car or babble noises. However, such the conventional front-ends have limitation in reducing non-stationary noise that are occurred inside the ship on voyage. To overcome such a limitation, the proposed system incorporates nonlinear multi-band spectral subtraction to provide highly accurate tourism route recognition. It is shown from the experiment that compared to a conventional system the proposed system achieves relative improvement of a tourism route recognition rate by 5.54% under a noise condition of 10 dB signal-to-noise ratio (SNR).

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.10
• /
• pp.2180-2188
• /
• 2009

This paper is study on real-time hand gesture recognition system based on vision for intelligent robot control. We are proposed a recognition system using PCA and BP algorithm. Recognition of hand gestures consists of two steps which are preprocessing step using PCA algorithm and classification step using BP algorithm. The PCA algorithm is a technique used to reduce multidimensional data sets to lower dimensions for effective analysis. In our simulation, the PCA is applied to calculate feature projection vectors for the image of a given hand. The BP algorithm is capable of doing parallel distributed processing and expedite processing since it take parallel structure. The BP algorithm recognized in real time hand gestures by self learning of trained eigen hand gesture. The proposed PCA and BP algorithm show improvement on the recognition compared to PCA algorithm.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.24 no.2
• /
• pp.175-186
• /
• 2021

In the field of automatic target recognition(ATR) with synthetic aperture radar(SAR) imagery, it is usually impractical to obtain SAR target images covering a full range of aspect views. When the database consists of SAR target images with limited angular diversity, it can lead to performance degradation of the SAR-ATR system. To address this problem, this paper proposes a deep learning-based method where channel attention modules(CAMs) are inserted to a convolutional neural network(CNN). Motivated by the idea of the squeeze-and-excitation(SE) network, the CAM is considered to help improve recognition performance by selectively emphasizing discriminative features and suppressing ones with less information. After testing various CAM types included in the ResNet18-type base network, the SE CAM and its modified forms are applied to SAR target recognition using MSTAR dataset with different reduction ratios in order to validate recognition performance improvement under the limited angular diversity condition.

• International Journal of Computer Science & Network Security
• /
• v.24 no.8
• /
• pp.14-20
• /
• 2024

Traffic sign recognition is an essential feature of intelligent transportation systems and Advanced Driver Assistance Systems (ADAS), which are necessary for improving road safety and advancing the development of autonomous cars. This research investigates the incorporation of the YOLOv9 model into traffic sign recognition systems, utilizing its sophisticated functionalities such as Programmable Gradient Information (PGI) and Generalized Efficient Layer Aggregation Network (GELAN) to tackle enduring difficulties in object detection. We employed a publically accessible dataset obtained from Roboflow, which consisted of 3130 images classified into five distinct categories: speed_40, speed_60, stop, green, and red. The dataset was separated into training (68%), validation (21%), and testing (12%) subsets in a methodical manner to ensure a thorough examination. Our comprehensive trials have shown that YOLOv9 obtains a mean Average Precision (mAP@0.5) of 0.959, suggesting exceptional precision and recall for the majority of traffic sign classes. However, there is still potential for improvement specifically in the red traffic sign class. An analysis was conducted on the distribution of instances among different traffic sign categories and the differences in size within the dataset. This analysis aimed to guarantee that the model would perform well in real-world circumstances. The findings validate that YOLOv9 substantially improves the precision and dependability of traffic sign identification, establishing it as a dependable option for implementation in intelligent transportation systems and ADAS. The incorporation of YOLOv9 in real-world traffic sign recognition and classification tasks demonstrates its promise in making roadways safer and more efficient.

• International Commerce and Information Review
• /
• v.12 no.1
• /
• pp.55-73
• /
• 2010

The thesis examines new innovation of various aspect to overcome lots of problems which come by when we execute simplification of trade procedure and administration fairly. Practical implications regarding the innovation of electronic trade infrastructure are as follows. First, it will propel the standardization of electronic trade section in the technical side and the construction atmosphere of international authentication system must be created. The work process should be redesigned in order to implement export-import procedures that meet the relevant standards. Second, the improvement of system for electronic process is necessary in the law and institutional aspect. In order to eliminate any obstacles to the trade procedure, clearer legal grounds regarding legitimate controls and minimum necessity must be established. Also, laws should be revised to admit mutual recognition among certification organizations, in lieu of international agreement-based mutual recognition between government. Third, the detailed improvement for the integration of the electronic trade infrastructure will be demanded. Additionally, user-centered quality management protocols should be established via connections with the systems already existing in governmental bodies. Fourth, various trade institution should harmonized and interconnected with other partners through mutual cooperation for standardization of operational system. A system which can monitor and remotely diagnose and resolve system errors should be established to provide tailor-made service and improve operational efficiency. At the same time, it is necessary to build a cooperative system to share information and promote comprehensive management for efficient operation.

• The Journal of the Acoustical Society of Korea
• /
• v.22 no.7
• /
• pp.539-544
• /
• 2003

This paper describes how to reduce the effect of an occupation threshold by that the transform of mixture components of HMM parameters is controlled in hierarchical tree structure to prevent from over-adaptation. To reduce correlations between data elements and to remove elements with less variance, we employ PCA (Principal component analysis) and ICA (independent component analysis) that would give as good a representation as possible, and decline the effect of over-adaptation. When we set lower occupation threshold and increase the number of transformation function, ordinary MLLR adaptation algorithm represents lower recognition rate than SI models, whereas the proposed MLLR adaptation algorithm represents the improvement of over 2% for the word recognition rate as compared to performance of SI models.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.21 no.2
• /
• pp.159-170
• /
• 2010

A survey was conducted with 155 professors in 23 universities in Seoul. The survey investigated recognition and the present condition of FISP among those professors, the results of which were analyzed in terms of three aspects: recognition of FISP, utility and implementation of FISP, and FISP users' satisfaction and opinions. of professors, FISP users were most frequently using it to write a treatise, while non-FISP users failed to use it because they had no information of its existence. Both FISP and non-FISP users significantly favored implementation of FISP and showed very positive intention of using it.

• Journal of East-West Nursing Research
• /
• v.19 no.2
• /
• pp.138-149
• /
• 2013

Purpose: The purpose of this study is to understand experience of self-esteem by exploring and describing the clinical nurses' lived experiences. Methods: The qualitative research method of phenomenology was utilized in this study. In-depth personal interviews of 8 clinical nurses with more than three years of experience in the clinical setting were conducted using a records from October, 2012 to March, 2013. Results: Content analysis was done using the Colaizzi' phenomenological method. The results based on the data analysis, 19 descriptive statements and 7 themes were confirmed. The 7 themes were as followed; 'recognition of nurse's role', 'recognition of nursing as a profession', 'secure jobs', 'close relationship with the clients', 'sense of existence perceived by others', 'considerations between coworkers', and 'opportunity for self-improvement. Conclusion: This study may be helpful to understand the experience of self-esteem. The results can be used to develop the effective interventions for the improvement of nurse's self-esteem.

• Korean Journal of Child Studies
• /
• v.33 no.1
• /
• pp.147-164
• /
• 2012

The purpose of this study was to firstly, analyze how childcare center directors and parents experienced the 'I-Sarang Card Business' and secondly, to evaluate the effects of the business, and thus to suggest the ways to improve business strategies. The subjects consisted of 104 childcare center directors and 304 parents using the 'i-sarang card' in Gyeonggi province. The surveys were administered to the subjects, and the data were analyzed by means of the SPSS 12.0 program. The major results of this study were as follows : After the introduction of the 'I-Sarang Card Business', parents found the payment of childcare fee to be more convenient than previously and evaluated the effects of 'I-Sarang Card Business' to be more positive than the childcare center directors. On the other hand, childcare center directors had difficulties in taking care of 'I-Sarang Card Business' related administration and their evaluations were therefore more negative. Based on these results, several ways to improve the business were suggested.