• Korean Journal of Organic Agriculture
• /
• v.19 no.spc
• /
• pp.92-95
• /
• 2011

The initial investment of rice cultivation by mechanical technique was high. This was only due to the cost of planting machine. We analysed the overall cost (without machine cost) and benefits of the two methods, it manifested that the mechanical method is very much beneficial over traditional rice cultivation technique. We observed that the requirement of soil, irrigation water, number of seeds etc. decreased in mechanical cultivation technique while net income increase by 13.07% with 80% government subsidy. Furthermore, the initial rooting was quicker, growth and development of pot raised seedlings was better than the traditional technique. Hence, this technique can give better return to the farmers with the help of government subsidy.

• International journal of advanced smart convergence
• /
• v.8 no.3
• /
• pp.13-19
• /
• 2019

In this paper, we propose and implement VVVV base interactive advertisement. It has now expanded from the traditional marketing methods of television, radio, newspapers and magazines to become a digital marketing era. However, it is still in the form of infusion-type advertising, similar to traditional marketing techniques. For more innovative we put story and design elements into digital technology. Consumers will feel fresh excitement as they experience advertising. Emotional stories and image will also provide an element for customers to talk to each other. The propose advertisement is design to recognize the movement of people in the corridor by using Arduino and ultrasonic sensor installed in the passageway where many people pass. Arduino and VVVV takes people's movements for a values. This values change the advertising image. In this case, we applied the mask in VVVV so that the image to be reproduced and the image of the background role are displayed when the person passes the sensor. By realizing this interactive advertisement, the objective is to increase the buyer's purchasing power by approaching the buyer more effectively than the existing advertisement.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.97-108
• /
• 2022

The video-assisted human action recognition [1] field is one of the most active ones in computer vision research. Since the depth data [2] obtained by Kinect cameras has more benefits than traditional RGB data, research on human action detection has recently increased because of the Kinect camera. We conducted a systematic study of strategies for recognizing human activity based on deep data in this article. All methods are grouped into deep map tactics and skeleton tactics. A comparison of some of the more traditional strategies is also covered. We then examined the specifics of different depth behavior databases and provided a straightforward distinction between them. We address the advantages and disadvantages of depth and skeleton-based techniques in this discussion.

• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.111-118
• /
• 2023

In the ever-changing landscape of finance, the fusion of artificial intelligence (AI)and pair trading strategies has captured the interest of investors and institutions alike. In the context of supervised machine learning, crafting precise and accurate labels is crucial, as it remains a top priority to empower AI models to surpass traditional pair trading methods. However, prevailing labeling techniques in the financial sector predominantly concentrate on individual assets, posing a challenge in aligning with pair trading strategies. To address this issue, we propose an inventive approach that melds the Triple Barrier Labeling technique with pair trading, optimizing the resultant labels through genetic algorithms. Rigorous backtesting on cryptocurrency datasets illustrates that our proposed labeling method excels over traditional pair trading methods and corresponding buy-and-hold strategies in both profitability and risk control. This pioneering method offers a novel perspective on trading strategies and risk management within the financial domain, laying a robust groundwork for further enhancing the precision and reliability of pair trading strategies utilizing AI models.

• Journal of Applied Biological Chemistry
• /
• v.66
• /
• pp.179-185
• /
• 2023

Bauhinia rufescens, Ocimum basilicum and Salvadora persica are well known plants used in African traditional medicine, especially in Chadian traditional medicine. They are mostly used in the treatment of infectious diseases, inflammatory diseases, fever, and so on. Studies using various in vitro and in vivo bioassay techniques support the scientific rationale for most of these usages. In this review, ethnobotanical uses, chemistry of natural products, and pharmacological and clinical data for these plants are presented.

• Journal of Internet Computing and Services
• /
• v.16 no.2
• /
• pp.77-83
• /
• 2015

Frequent pattern mining, which is one of the major areas actively studied in data mining, is a method for extracting useful pattern information hidden from large data sets or databases. Moreover, frequent pattern mining approaches have been actively employed in a variety of application fields because the results obtained from them can allow us to analyze various, important characteristics within databases more easily and automatically. However, traditional frequent pattern mining methods, which simply extract all of the possible frequent patterns such that each of their support values is not smaller than a user-given minimum support threshold, have the following problems. First, traditional approaches have to generate a numerous number of patterns according to the features of a given database and the degree of threshold settings, and the number can also increase in geometrical progression. In addition, such works also cause waste of runtime and memory resources. Furthermore, the pattern results excessively generated from the methods also lead to troubles of pattern analysis for the mining results. In order to solve such issues of previous traditional frequent pattern mining approaches, the concept of representative pattern mining and its various related works have been proposed. In contrast to the traditional ones that find all the possible frequent patterns from databases, representative pattern mining approaches selectively extract a smaller number of patterns that represent general frequent patterns. In this paper, we describe details and characteristics of pattern condensing techniques that consider the maximality or closure property of generated frequent patterns, and conduct comparison and analysis for the techniques. Given a frequent pattern, satisfying the maximality for the pattern signifies that all of the possible super sets of the pattern must have smaller support values than a user-specific minimum support threshold; meanwhile, satisfying the closure property for the pattern means that there is no superset of which the support is equal to that of the pattern with respect to all the possible super sets. By mining maximal frequent patterns or closed frequent ones, we can achieve effective pattern compression and also perform mining operations with much smaller time and space resources. In addition, compressed patterns can be converted into the original frequent pattern forms again if necessary; especially, the closed frequent pattern notation has the ability to convert representative patterns into the original ones again without any information loss. That is, we can obtain a complete set of original frequent patterns from closed frequent ones. Although the maximal frequent pattern notation does not guarantee a complete recovery rate in the process of pattern conversion, it has an advantage that can extract a smaller number of representative patterns more quickly compared to the closed frequent pattern notation. In this paper, we show the performance results and characteristics of the aforementioned techniques in terms of pattern generation, runtime, and memory usage by conducting performance evaluation with respect to various real data sets collected from the real world. For more exact comparison, we also employ the algorithms implementing these techniques on the same platform and Implementation level.

• Journal of Digital Contents Society
• /
• v.9 no.2
• /
• pp.269-276
• /
• 2008

Recently, the concerning about cultural heritages has been increased. As a result, the protection, repairing and restoration of cultural assets have been actively in progress. The biggest project of cultural asset reconstructions is the restoration of Kyungbok Palace and it has been in proceed step by step since in 1989. The actual sizes of these traditional buildings have been measured and recorded for future maintenance. In this paper, the 3D computer graphic technique is used to help understanding the inner structures of the traditional buildings as well as their construction processes. In other word, the construction simulation of Keunjeongjun which is the center building of Kyungbok Palace have been produced using 3D computer graphic techniques. The purpose of this project is aiding people in understanding the process of traditional palace architecture in Korea.

• Journal of the Korean Society of Costume
• /
• v.50
• /
• pp.161-182
• /
• 2000

The results of this study were as follows: The quit has been used for warmth supporting materials protection religious uses decoration and giving stability of shapes. Quilt is developed from monk's robe of lags and the word 'nubi' is originated form 'nabeui' in both Korean and Japan. Korean quilt was used mainly for warmth: Japanese one was used for warmth and supporting materials. The techniques used for traditional Korean quit were parallel vertical hand stitches. On the other hand Japanese traditional quilt uses various motifs of sashiko which is similar to embroidery and named by region. Korean quilt can be divided into three types by the stitch intervals: Fin quit(Jan unbi) Medium quilt(Jung nubi) and Wide quilt(Demun nubi). Japanese quilt has been developed in east-north region and can be grouped into sashiko kogin and hishizashi by motifs of quit. Korean quilt costumes are stuffed with cotton between the outer fabrics and linings and stitched vertically on the fabrics Main fabrics used were silk and cotton. Japanese quilt costume uses cotton yarns for stitching on flax or cotton fabrics used were silk and cotton. fabrics and main uses of the quilot costumes were sorking clothes of working classes. Both Korean and Japanese quilt costumes contain of family's health happiness and longevity. In summary Korean quilts use two layers of fabrics and stuff them with cotton and stitch parallel vertical i\lines to provide warmth Japanese quilt are sashiko which is stitches of strand in various shapes using cotton yarns. differ by region and are made for warmth and supporting materials.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.25 no.5
• /
• pp.894-899
• /
• 2011

Traditional Korean Medicine (TKM) has been actively researched through various approaches, including computational methods. This paper aims at providing an overview of domestic studies using the computational techniques in TKM field. A literature search was conducted in Korean publications using OASIS system, and major studies of data mining in TKM were identified. A review was presented in six diagnosis fields, including sasang constitution diagnosis, eight constitution diagnosis, tongue diagnosis, pattern diagnosis for stroke, diagnosis based on ontology, diagnosis for cause of disease. They collect clinical data themselves for experiments and primarily applied a algorithm of decision tree, SVM, neural network, case-based reasoning, ontology reasoning, discriminant analysis. In the future, there needs to identify which algorithm is suitable to diagnosis or other fields of TKM.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.6 no.1
• /
• pp.25-33
• /
• 2004

This study is aimed at reviewing how the Orientalism trend is expressed in the modem fashion in terms of silhouette, color, materials, and detail. To this end, the geographic scope of this study is limited to China, Japan, Korea, while data are collected from fashion collections, domestic and foreign magazines since 2000's, literature, and internet sites. The results of this study can be summarized as follows: 1. Silhouette: the basic square silhouette of the Oriental traditional costume do not disturb the body movement and have an effected on design to smoothly follow the body line rather than cutting out materials into several parts or emphasize the curved body. 2. Color: due to the influence of the Oriental Zen thought, color trend seems to pursue simplicity rather than complexity, and natural aesthetics. In addition, the Oriental colorfulness shall not be ignored. 3. Materials: golden embroidered material, polished satin, jersey, tough or rough materials, etc. have used with materials of the Oriental traditional costume came into fashion. In pattern, the Orientalism trend is expressive of pattern by Chinese ink-spread technique, simple brush touch technique, cloud pattern, lotus flower pattern or dragon pattern, all of which feature the Oriental calm aesthetics or those motivated by the Oriental traditional patterns. 4. Detail: the techniques of handicrafts and manual arts such as meticulous embroidery, tassel or patchwork reflect well the Orientalism trend in the modem fashion.