• 한국식생활문화학회지
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• 제26권6호
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• pp.562-573
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• 2011

The purpose of this paper was to research the history of Korean restaurants in Manhattan, NY in the 1960's-1970's. These Korean restaurants were the pioneers in the globalization of Korean food. It is assumed that 'Mi Cin' was the first Korean restaurant in Manhattan and opened on March $1^{st}$, 1960. In the 1960's, it is estimated that there were four Korean restaurants in Manhattan. In the 1970's, the number of Korean restaurants increased to more than 18, and their main menu items were divided into three types: Korean fusion menu such as 'Lunch Special' for American customers, beef barbecue menu for American and Korean customers, and Korean traditional menu for increasing Korean immigrants.

• 대한의용생체공학회:의공학회지
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• 제30권2호
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• pp.103-112
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• 2009

Neuron-on-a-Chip technology is based on advanced neuronal culture technique, surface micropatterning, microelectrode array technology, and multi-dimensional data analysis techniques. The combination of these techniques allowed us to design and analyze live biological neural networks in vitro using real neurons. In this review article, two underlying technologies are reviewed: Microelectrode array technology and Neuronal patterning technology. There are new opportunities in the fusion of these technologies to apply them in neurobiology, neuroscience, neural prostheses, and cell-based biosensor areas.

• International Journal of Advanced Culture Technology
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• 제5권2호
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• pp.54-62
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• 2017

Currently, falling to industrial field workers is causing serious injuries. Therefore, many researchers are actively studying the fall by using acceleration sensor, gyro sensor, pressure sensor and image information.Also, as the spread of smartphones becomes common, techniques for determining the fall by using an acceleration sensor built in a smartphone are being studied. The proposed method has complexity due to fusion of various sensor data and it is still insufficient to develop practical application. Therefore, in this paper, we use acceleration sensor module built in smartphone to collect acceleration data, propose a simple falling algorithm based on accelerometer sensor data after normalization and preprocessing, and implement an Android based app.

• International Journal of Advanced Culture Technology
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• 제4권4호
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• pp.1-5
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• 2016

In this paper, we present the study on the proposed design of a real-time transmission of a video from the drone to broadcasting station (OBVan) by using F8L10D-N LoRa Module. Nowadays, LoRa technology is proved to be the mass of low cost, long range machine-to-machine connectivity. Particularly in the field of broadcasting and communication system, F8L10D-N LoRa RF Module spread spectrum technology with long transmission distance and strong penetrative ability that is double stronger than traditional FSK as well as PSK modulation scheme.

• 복식문화연구
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• 제18권6호
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• pp.1179-1193
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• 2010

For a good design, it is important to understand consumers and trend of textile and fashion design. Previous researches on textile pattern design with CAD have been done. They have studied on Korean traditional floral motives/hand painting or some geometric patterns. Few studies have been done on conversational design. Therefore the purpose of study was to observe types of textile pattern design for the recent fiver years and determine fabric pattern trends, especially on the conversational motifs. The types of patterns were analysed with professional panels from the 2005～2009 collection sources, using SPSS program. This study was also develop textile patterns creating using CAD. We conducted design process on motif creating, repeat, and mapping jobs, using textile special design program Prima vision and Photoshop CS3.

• International Journal of Internet, Broadcasting and Communication
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• 제7권1호
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• pp.36-41
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• 2015

This paper is proposed a wavelet-based MCDT(Mask Coefficient Differential and Threshold) method of image registration of Multi-images contaminated with visible image and infrared image. The method for ensure reliability of the image registration is to the increase statistical corelation as getting the common feature points between two images. The method of threshold the wavelet coefficients using derivatives of the wavelet coefficients of the detail subbands was proposed to effectively registration images with distortion. And it can define that the edge map. Particularly, in order to increase statistical corelation the method of the normalized mutual information. as similarity measure common feature between two images was selected. The proposed method is totally verified by comparing with the several other multi-image and the proposed image registration.

• International Journal of Advanced Culture Technology
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• 제9권4호
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• pp.392-401
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• 2021

When a data file is shared through various methods on the Internet, the data file may be damaged in various cases. To prevent this, some websites provide the checksum value of the download target file in text data type. The checksum value provided in this way is then compared with the checksum value of the downloaded file and the published checksum value. If they are the same, the file is regarded as the same. However, the checksum value provided in text form is easily tampered with by an attacker. Because of this, if the correct checksum cannot be verified, the reliability and integrity of the data file cannot be ensured. In this paper, a checksum value is generated to ensure the integrity and reliability of a data file, and this value and related file information are stored in the blockchain. After that, we will introduce the research contents for designing and implementing a system that provides a function to share the checksum value stored in the block chain and compare it with other people's files.

• International Journal of Advanced Culture Technology
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• 제11권1호
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• pp.389-394
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• 2023

Based on intelligent visual information and 5G, this paper studies the intelligent visual communication of landscape bamboo buildings, and provides a new method of intelligent perception and interactive computing for the real world, which can represent, model, Perception and cognition; through the integration of virtual and real, the situational understanding of the human-machine-material fusion environment and the interaction with nature. The 5G network can well meet the combination of high-bandwidth uplink transmission and low-latency downlink control. At the same time, 5G-based AR intelligent inspection, remote operation and maintenance guidance, and machine vision inspection. Taking the bamboo building as an example, through field inspections to analyze tourism Bamboo buildings before and after development, and the intelligentization of bamboo buildings based on 5G and visual modeling.

• International Journal of Advanced Culture Technology
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• 제11권2호
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• pp.229-237
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• 2023

Innovation has been considered not only an important factor for creating and maintaining the competitiveness of nations but also a key determinant of enterprises performance in over the world. Innovation is the process by which an enterprise develops new products, services, processes or management systems to meet requirements due to the change of business environment, technology. The results of implementing innovation increase capacity of the business, thereby helping the business to develop sustainably in the face of market trends and competition from competitors. This paper aims to explore the current status of innovation activities as well as proposes solutions to develop innovation activities for Vietnamese enterprises. The proposed solutions in this study paper create a premise to improve the competitiveness and sustainable growth of enterprises in the context of deeper and more comprehensive international economic integration.

• International Journal of Advanced Culture Technology
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• 제12권2호
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• pp.318-325
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• 2024

The rapid advancement of drone technology has led to the emergence of drone swarms, a game-changing concept in modern warfare. This study explores the military applications, countermeasures, and strategic implications of drone swarms. By examining the current trends in drone swarm development and deployment, this research highlights the potential of this technology to revolutionize the battlefield. The study also investigates the challenges and vulnerabilities associated with drone swarms, emphasizing the need for effective countermeasures. Through an analysis of multi-sensor fusion, directed energy weapons, and artificial intelligence, this research proposes comprehensive strategies to counter the threats posed by drone swarms. Furthermore, the study delves into the ethical and legal issues surrounding the use of autonomous drone swarms, underscoring the necessity for international norms and regulations. The findings of this research contribute to the understanding of the transformative impact of drone swarms on military strategy and national security, while providing valuable insights for policymakers, military strategists, and researchers in the field.