• Title/Summary/Keyword: culture code

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The Effects of Consumers' Attitude toward Party on Dress Code Receptiveness (파티에 대한 태도가 드레스코드 수용에 미치는 영향)

  • Seo, Sang-Woo;Lee, Yu-Ri
    • Journal of the Korean Society of Costume
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    • v.58 no.1
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    • pp.104-115
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    • 2008
  • Party is an important communication method in the 21st century and this tendency is not exceptional in Korea. With this noteworthy phenomenon, this study summarized the concept and history of party first, and then analysed "belief - attitude - behavioral intention" model based on the one-dimensional attitude theory. The variables included in this research were western culture familiarity as belief factor, three variables evaluating the party culture(i.e., non-popularity of party, marketability of party, sociability of party) as attitude factor, and dress code receptiveness as behavioral intention factor. The samples of this study were 498 women in twenties and thirties from metropolitan areas in South Korea. SPSS 12.0 and AMOS 4.0 packages were used for statistical analysis. The results of this research are as follows: First, western culture familiarity had a significant effect on attitude toward party culture. Specifically, western culture familiarity negatively influenced the non-popularity dimension of party and positively influenced the marketability and sociability dimension of party. Second, attitude toward party culture significantly influenced the dress code receptiveness. Consecutively, all of three dimensions about attitude toward party culture positively influenced the dress code receptiveness. Managerial implications were provided.

Analysis on Trends of No-Code Machine Learning Tools

  • Yo-Seob, Lee;Phil-Joo, Moon
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.412-419
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    • 2022
  • The amount of digital text data is growing exponentially, and many machine learning solutions are being used to monitor and manage this data. Artificial intelligence and machine learning are used in many areas of our daily lives, but the underlying processes and concepts are not easy for most people to understand. At a time when many experts are needed to run a machine learning solution, no-code machine learning tools are a good solution. No-code machine learning tools is a platform that enables machine learning functions to be performed without engineers or developers. The latest No-Code machine learning tools run in your browser, so you don't need to install any additional software, and the simple GUI interface makes them easy to use. Using these platforms can save you a lot of money and time because there is less skill and less code to write. No-Code machine learning tools make it easy to understand artificial intelligence and machine learning. In this paper, we examine No-Code machine learning tools and compare their features.

Objective Material analysis to the device with IoT Framework System

  • Lee, KyuTae;Ki, Jang Geun
    • International Journal of Advanced Culture Technology
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    • v.8 no.2
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    • pp.289-296
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    • 2020
  • Software copyright are written in text form of documents and stored as files, so it is easy to expose on an illegal copyright. The IOT framework configuration and service environment are also evaluated in software structure and revealed to replication environments. Illegal copyright can be easily created by intelligently modifying the program code in the framework system. This paper deals with similarity comparison to determine the suspicion of illegal copying. In general, original source code should be provided for similarity comparison on both. However, recently, the suspected developer have refused to provide the source code, and comparative evaluation are performed only with executable code. This study dealt with how to analyze the similarity with the execution code and the circuit configuration and interface state of the system without the original source code. In this paper, we propose a method of analyzing the data of the object without source code and verifying the similarity comparison result through evaluation examples.

A study on Countermeasures by Detecting Trojan-type Downloader/Dropper Malicious Code

  • Kim, Hee Wan
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.288-294
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    • 2021
  • There are various ways to be infected with malicious code due to the increase in Internet use, such as the web, affiliate programs, P2P, illegal software, DNS alteration of routers, word processor vulnerabilities, spam mail, and storage media. In addition, malicious codes are produced more easily than before through automatic generation programs due to evasion technology according to the advancement of production technology. In the past, the propagation speed of malicious code was slow, the infection route was limited, and the propagation technology had a simple structure, so there was enough time to study countermeasures. However, current malicious codes have become very intelligent by absorbing technologies such as concealment technology and self-transformation, causing problems such as distributed denial of service attacks (DDoS), spam sending and personal information theft. The existing malware detection technique, which is a signature detection technique, cannot respond when it encounters a malicious code whose attack pattern has been changed or a new type of malicious code. In addition, it is difficult to perform static analysis on malicious code to which code obfuscation, encryption, and packing techniques are applied to make malicious code analysis difficult. Therefore, in this paper, a method to detect malicious code through dynamic analysis and static analysis using Trojan-type Downloader/Dropper malicious code was showed, and suggested to malicious code detection and countermeasures.

A Study on the Aesthetic Characteristics of Contemporary Chinese Fashion Design - based on traditional culture code analysis - (현대 중국적 패션 디자인의 미적 특성 연구 - 전통문화코드 분석을 기반으로 -)

  • Nan, Mei Ling;Park, Eun Kyung
    • Journal of the Korean Society of Costume
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    • v.63 no.2
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    • pp.125-143
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    • 2013
  • This study aims to clarify the identity of contemporary Chinese fashion design by examining how the characteristics of Chinese tradition are accepted and presented in fashion under the influences of western cultures. This study performed a literature survey on related works. Also this study performed demonstrative analysis of Chinese daily newspapers (People's Daily and Xinmin Evening News, 2007-2010) and fashion collections by Chinese and Chinese descent designers(2007-2011). The results are as follows: First, China is trying to express Chinese traditional ideas and factors in the design areas, and also trying to achieve an universal generalization. Second, the Chinese designers emphasized traditional ideas and culture in their designs. The Chinese descent designers were affected more by western culture. The common aesthetic consciousness were the beauties of sophisticated and splendorous decoration, vastness and elegance. Also the compromised images, neutral images and antique images were common in both groups. Third, the Chinese designers presented fashion designs on formalized and imitation stage. Also they tried to make a metaphorical stage. The Chinese descent designers showed designs on a metaphorical stage. In conclusion, the contemporary Chinese fashion design should find the way to globalize and identity of the traditional culture code simultaneously.

A Study on Fusion Style Costume in TV Drama $\lceil$Gung(Palace)$\rfloor$ - Focused on Heroine's Costume - (드라마 "궁(宮)"에 나타난 퓨전 스타일 의상에 관한 연구 - 여주인공 의상을 중심으로 -)

  • Byun, Mi-Yeon;Kim, Min-Ji;Lee, In-Seong
    • Journal of the Korean Society of Costume
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    • v.57 no.3 s.112
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    • pp.124-135
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    • 2007
  • Being called 'the period of diversity', the 21st century is taking on a new aspect which is different from the past where a certain phenomenon of a specific area was prescribed as one representative icon of a period. In particular, the globalization culture acted as the catalyst to accept such diversity and it appeared as a new culture code, 'fusion' throughout society and culture. Especially, unlike two-hour movies, the recent drama $\lceil$Gung$\rfloor$ showed various fusion style costume over a period of three months and created a sensation of fusion style costume. Therefore, this study is aimed at investigating fusion style costume by selecting the TV drama $\lceil$Gung$\rfloor$ which was on the air in 2006. Though various studies on fusion style costume, which is becoming a new culture code, have been conducted, this study is meaningful in that it's time to conduct a new study through a popular TV drama. Based on preceding studies on fusion style, the elements of fusion style were analyzed by capturing the most frequently exposed heroine's costume, and new design development introducing fusion elements was attempted for empirical studies. The study results are as follows. First, it was found that the fusion trend is a culture code which already spread to the public and is shown in the fashion in various ways. Second, the drama $\lceil$Gung$\rfloor$, is commented as a new dram which introduced the fusion style costume into Korea through a modern version of constitutional monarchy and is commented as a medium which created an interest in the fusion costume among the public as well. Third, new trend elements of the fusion style could be derived through empirical studies by design development.

Analysis of Automatic Machine Learning Solution Trends of Startups

  • Lee, Yo-Seob
    • International Journal of Advanced Culture Technology
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    • v.8 no.2
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    • pp.297-304
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    • 2020
  • Recently, open source automatic machine learning solutions have been applied in many fields. To apply open source automated machine learning to real world problems, you need to write code with expertise in machine learning. Writing code without machine learning knowledge is challenging. To solve this problem, the automatic machine learning solutions provided by startups are made easy to use with a clean user interface. In this paper, we review automatic machine learning solutions of startups.

A Study of LLVM-based Embedded System Performance Analyzer (LLVM 기반의 임베디드 시스템 성능 분석기의 연구)

  • Cho, Doosan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.577-582
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    • 2022
  • For developing a new embedded system, an application program/an emulator and a compiler are developed simultaneously. In order to provide the optimal performance of all system components, local optimization should be carried out for the developing process. For this purpose, if a source-level performance analyzer is developed, it is possible to optimize the application program's source code by the performance evaluation. In general, the performance of an application program is determined in the loop iterations. The Intermediate Representation (IR) code generator generates IR code from the source code, and evaluates the execution time with the instructions in the intermediate representation code. If the source code is improved based on the evaluated result, better results can be obtained in the final application code. This study describes the source-level performance analyzer that can be used during the simultaneous development of the new embedded system and its application programs. The performance analyzer makes it possible to more quickly optimize the performance of the new embedded system.

A Study on Coding Education for Non-Computer Majors Using Programming Error List

  • Jung, Hye-Wuk
    • International Journal of Advanced Culture Technology
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    • v.9 no.1
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    • pp.203-209
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    • 2021
  • When carrying out computer programming, the process of checking and correcting errors in the source code is essential work for the completion of the program. Non-computer majors who are learning programming for the first time receive feedback from instructors to correct errors that occur when writing the source code. However, in a learning environment where the time for the learner to practice alone is long, such as an online learning environment, the learner starts to feel many difficulties in solving program errors by himself/herself. Therefore, training on how to check and correct errors after writing the program source code is necessary. In this paper, various types of errors that can occur in a Python program were described, the errors were classified into simple errors and complex errors according to the characteristics of the errors, and the distributions of errors by Python grammar category were analyzed. In addition, a coding learning process to refer error lists was designed to present a coding learning method that enables learners to solve program errors by themselves.

Design of Learning Process with Code Reconstruction Principle for Non-computer Majors

  • Hye-Wuk, Jung
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.175-180
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    • 2022
  • To develop computational thinking skills, university students are learning how to solve problems with algorithms, program commands and grammar, and program writing. Because non-computer majors have difficulty with computer programming-related content, they need a learning method to acquire coding knowledge from the process of understanding, interpreting, changing, and improving source codes by themselves. This study explored clone coding, refactoring coding, and coding methods using reconstruction tools, which are practical and effective learning methods for improving coding skills for students who are accustomed to coding. A coding learning process with the code reconstruction principle was designed to help non-computer majors use it to understand coding technology and develop their problem-solving ability and applied the coding technology learning method used in programmer education.