• Fashion & Textile Research Journal
• /
• v.26 no.3
• /
• pp.265-272
• /
• 2024

In the current era of rapid digitization of the fashion industry, this study aims to facilitate the digitization of local Hawaiian fashion products. The research compares and analyzes the patterns and colors of digital clothing products sold on Zepeto, a metaverse platform, and those of physical products sold both, online and offline, by six specialized brands with stores in Honolulu, Hawaii, or Hawaiian signature clothing products. The following results were obtained: First, physical products generally display various patterns, such as animals, plants, geography, regions, and beaches. However, the pattern diversity of digital products is relatively limited, with a tendency to focus on plant and animal designs, which are Hawaii's signature patterns. Second, the color analysis results demonstrate that chromatic color groups, such as blue and red, were the most popular in physical products, whereas digital products used mostly green and neutral colors. Considering that physical products are sold both, online and offline, this is presumed to be due to differences in expression techniques and customer responses to digital and physical products, rather than market differences. To facilitate the digitization of Hawaiian local fashion products, a library that accommodates physical products in a variety of patterns and colors must be secured, and continuous modifications must be made to match the overall fashion trends.

• Journal of Korea Multimedia Society
• /
• v.16 no.4
• /
• pp.430-443
• /
• 2013

The recognition of current position and road surrounding of car is very important to driver for safe driving. This paper presents the recognition technique of the road traveling environment using position information hiding and viewpoint transform that monitors the information of road furniture and signature and notifies them to driver. The proposed scheme generates the road images into which the position information are hided, from car camera and GPS module and provides the road information to driver through the viewpoint transformation and the road signature detection. The driving tests with camera and GPS module verified that the position information hiding takes about 66.5ms per frame, the detection rate of road signature is about 95.83%, and the road signature detection takes about 227.45ms per frame. Therefore, we know that the proposed scheme can recognize the road traveling environment on the road video with 15 frame rate.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.30 no.3
• /
• pp.379-388
• /
• 2020

As the use of credit cards increases, security threats increase. In particular, despite being vulnerable to related crimes, such as fraudulent use of credit cards and theft of names, there are virtually no security procedures to authenticate the validity of user while paying with the credit card. In order to overcome these limitations of current credit card payments, we add a process of signing payment using a stylus pen with built-in acceleration sensor in the existing transaction method, and classifying and comparing the image of the signature and signature information measured by the sensor through the convolutional neural network. we propose a method to improve security in financial transactions by performing the user authentication process through the possession of the stylus pen and the characteristic values of the signature.

• The Journal of Society for e-Business Studies
• /
• v.9 no.2
• /
• pp.51-68
• /
• 2004

The purpose of this article is to review the current status of PKI, and to check the major results of Electronic signature business in Korea by conducting face-to-face interview. It is expected that the main implications from the PKI users would be considered by the government for improving the environment of PKI utilization in the favor of users.

• Journal of Communications and Networks
• /
• v.4 no.3
• /
• pp.189-198
• /
• 2002

Precoder has been shown to be able to provide source diversity and design flexibility. In this paper we employ precoding techniques for block transmission based on a multirate filterbank structure. To accommodate multiuser communication with variable data rates, different precoders with corresponding coefficients and up/down sampling rates are used. However, due to unknown multipath distortion, different interferences may exist in the received data, such as multiuser interference, intersymbol interference and interblock interference. To estimate channel parameters for a desired user, we employ all structured signature waveforms associated with different symbols of that user and apply subspace techniques. Therefore better performance of channel estimator can be achieved than the conventional subspace method based only on the signature of the current symbol. The delay for that user can also be jointly estimated. Channel identifiability conditions and asymptotic channel estimation error are investigated in detail. Numerical examples are provided to justify the proposed method. gest either multicode (MC) or multiple processing gain (MPG) mechanism [2], while requiring data rates to be integral multiples of some basic low-rate. In order to support variable rate transmission however, a comprehensive scheme needs to be investigated.

• Smart Media Journal
• /
• v.12 no.2
• /
• pp.27-35
• /
• 2023

Currently, online user authentication is perform using joint certificates issued by accredited certification authorities and simple certificates issued by private agency. In such a PKI(Public Key Infrastructure) system, various cryptographic technologies are used, and in particular, digital signatures are used as a core technology. The digital signature scheme is equally used in DID(Decentralized Identity), which is attracting attention to replace the existing centralized system. As such, the digital signature-based user authentication used in current online services is also applied in the metaverse, which is attracting attention as the next-generation online world. Metaverse, a compound word of "meta," which means virtual and transcendent, and "universe," means a virtual world that includes the existing online world. Due to various developments of the metaverse, it is expted that new authentication technologies including biometric authentication will be used, but existing authentication technologies are still being used. Therefore, in this study, we study digital signature scheme that can be efficiently used for user authentication in the developing metaverse. In particular, we experimentally analyze the effectiveness of ECDSA, which is currently used as a standard for digital signatures, and Schnorr signatures, which can quickly verify a large amount of signatures.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.59 no.10
• /
• pp.1882-1888
• /
• 2010

It is widely known that ESA(Electric Signature Analysis) method is very useful one for fault diagnosis of an induction motor. Online fault diagnosis system of induction motors using LabVIEW is proposed to detect the fault of broken rotor bars and shorted turns in stator. This system is not model-based system of induction motor but LabVIEW-based fault diagnosis system using FFT spectrum of stator current in faulty motor without estimating of motor parameters. FFT of stator current in faulty induction motor is measured and compared with various reference fault data in data base to diagnose the fault. This paper is focused on to predict and diagnose of the health state of induction motors in steady state. Also, it can be given to motor operator and maintenance team in order to enhance an availability and maintainability of induction motors. Experimental results are demonstrated that the proposed system is very useful to diagnose the fault and to implement the predictive maintenance of induction motors.

• Proceedings of the KIPE Conference
• /
• 2006.06a
• /
• pp.305-307
• /
• 2006

기존에 사용되어 온 진동데이터를 이용한 유도전동기 고장진단 기법은 유도전동기의 전기적 결함을 파악하기 어렵고 특정 고장의 경우 유사한 진동주파수를 포함하고 있어 정확한 고장진단이 어렵다. 본 논문에서는 유도전동기 고장진단 시스템을 구현하기 위해 기존의 진동데이터 분석에 전류 분석기법 중의 하나인 MCSA(Motor Current Signature Analysis)기법을 추가하여 유도전동기 예지보전시스템의 신뢰성을 향상시켰다. 구현된 시스템의 신뢰성을 검증하기 위해 유도전동기의 고장진단을 위한 실험환경을 구축하고 진동데이터만을 이용하여 얻어진 고장진단 결과와 전류데이터 분석을 병행하여 얻어진 고장진단 결과를 비교 분석하였다.

• Proceedings of the KIEE Conference
• /
• 2001.04a
• /
• pp.19-21
• /
• 2001

Induction motors are a critical component of many industrial machines and are frequently integrated in commercial equipment. The many economical losses and the deterioration of system reliability might be caused by the failure of induction motors in industrial field. Based on the reliability and cost competitiveness of driving system(motors), the faults detection and diagnosis of system is considered very important factors. In order to perform the faults detection and diagnosis of motors, the vibration monitoring method and motor current signature analysis (MCSA) method are emphasized. In this paper, MCSA method is used for induction motor fault diagnosis. This method analyzes the motor's supply current, since this diagnoses the motor's condition. The diagnostic system is constructed by using LabVIEW of National Instruments.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2013.11a
• /
• pp.60-61
• /
• 2013

For reinforced concrete structures located in a sea environment, the Impressed Current Cathodic Protection (ICCP) is mostly used as a signature method to prevent steel corrosion. For this research, specimens to which the ICCP is applied were manufactured under the assumption of two following cases the specimens are exposed to various salt damage environments (submerged zone, tidal zone), and deteriorative factors (crack) occur in concrete. For the specimens manufactured, an enhancement experiment for deterioration was conducted through regular cycle change under the temperature between 15 ~ 70℃ with 70 ~ 90% humidity. Afterwards, the method effect was verified through a half-cell method and application of the ICCP derived from salt damage environments was investigated.