International Journal of Computer Science & Network Security
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v.22
no.10
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pp.374-388
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2022
Cloud computing has been one of the most critical technology in the last few decades. It has been invented for several purposes as an example meeting the user requirements and is to satisfy the needs of the user in simple ways. Since cloud computing has been invented, it had followed the traditional approaches in elasticity, which is the key characteristic of cloud computing. Elasticity is that feature in cloud computing which is seeking to meet the needs of the user's with no interruption at run time. There are traditional approaches to do elasticity which have been conducted for several years and have been done with different modelling of mathematical. Even though mathematical modellings have done a forward step in meeting the user's needs, there is still a lack in the optimisation of elasticity. To optimise the elasticity in the cloud, it could be better to benefit of Machine Learning algorithms to predict upcoming workloads and assign them to the scheduling algorithm which would achieve an excellent provision of the cloud services and would improve the Quality of Service (QoS) and save power consumption. Therefore, this paper aims to investigate the use of machine learning techniques in order to predict the workload of Physical Hosts (PH) on the cloud and their energy consumption. The environment of the cloud will be the school of computing cloud testbed (SoC) which will host the experiments. The experiments will take on real applications with different behaviours, by changing workloads over time. The results of the experiments demonstrate that our machine learning techniques used in scheduling algorithm is able to predict the workload of physical hosts (CPU utilisation) and that would contribute to reducing power consumption by scheduling the upcoming virtual machines to the lowest CPU utilisation in the environment of physical hosts. Additionally, there are a number of tools, which are used and explored in this paper, such as the WEKA tool to train the real data to explore Machine learning algorithms and the Zabbix tool to monitor the power consumption before and after scheduling the virtual machines to physical hosts. Moreover, the methodology of the paper is the agile approach that helps us in achieving our solution and managing our paper effectively.
KIPS Transactions on Computer and Communication Systems
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v.12
no.8
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pp.243-252
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2023
Satellite imageries are at a greatest importance for land cover examining. Numerous studies have been conducted with satellite images and uses semantic segmentation techniques to extract information which has higher altitude viewpoint. The device which is taking these images must employee wireless communication links to send them to receiving ground stations. Wireless communications from a satellite are inevitably affected due to transmission errors. Evidently images which are being transmitted are distorted because of the information loss. Current semantic segmentation techniques are not made for segmenting distorted images. Traditional image enhancement methods have their own limitations when they are used for satellite images enhancement. This paper proposes an auto-encoder based image pre-enhancing method for satellite images. As a distorted satellite images dataset, images received from a real radio transmitter were used. Training process of the proposed auto-encoder was done by letting it learn to produce a proper approximation of the source image which was sent by the image transmitter. Unlike traditional image enhancing methods, the proposed method was able to provide more applicable image to a segmentation model. Results showed that by using the proposed pre-enhancing technique, segmentation results have been greatly improved. Enhancements made to the aerial images are contributed the correct assessment of land resources.
Purpose: Failure Mode and Effect Analysis (FMEA) is a widely utilized technique to measure product reliability by identifying potential failure modes. Even though FMEA techniques have been studied, the form of Risk Priority Number (RPN) used to evaluate risk priority in FMEA is still questionable because of its shortcomings. In this study, we suggest common RPN(cRPN) to resolve shortcomings of the traditional RPN and show the extensibility of cRPN. Methods: We suggest cRPN which is based on Cobb-Douglas production function, and represent the various application on weighting risk factors, weighted RPN in a mathematical way, and show the possibility of statistical approach. We also conduct numerical study to examine the difference of the traditional RPN and cRPN as well as the potential application from the analysis on marginal effects of each risk factor. Results: cRPN successfully integrates previously suggested approaches especially on the relative importance of risk factors and weighting RPN. Moreover, we analyze the effect of corrective actions in terms of econometric analysis using cRPN. Since cRPN is rely on the reliable mathematical model, there would be numerous applications using cRPN such as smart factory based on A.I. techniques. Conclusion: We propose a reliable mathematical model of RPN based on Cobb-Douglas production function. Our suggested model, cRPN, resolves various shortcomings such as consideration of the relative importance, the effect of combinations among risk factors. In addition, by adopting a reliable mathematical model, quantitative approaches are expected to be applied using cRPN. We find that cRPN can be utilized to the field of industry because it is able to be applied without modifying the entire systems or the conventional actions.
The Journal of the Convergence on Culture Technology
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v.9
no.4
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pp.639-647
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2023
A variety of communications are developed and advanced by integration of wireless and wire connections with heterogeneous system. Traditional technologies are mainly focus on information technology based on computer techniques in the field of industry, manufacture and automation fields. As new technologies are developed and enhanced with traditional techniques, a lot of new applications are emerged and merged with existing mechanism and skills. The representative applications are IoT(Internet of Things) services and applications. IoT is breakthrough technologies and one of the innovation industries which are called 4 generation industry revolution. Due to limited resources in IoT such as small memory, low power and computing power, IoT devices are vulnerable and disclosed with security problems. In this paper, we reviewed and analyzed security challenges, threats and requirements under IoT service.
Journal of the Korea Fashion and Costume Design Association
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v.15
no.3
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pp.69-83
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2013
Clothes show not just the different social status of people, but the ideology and value of former society through pattern, colour, materials, shapes, etc. The purpose of this article is to fill the academic blank of this part by researching the pattern of fabric design in Jing Pai(Beiing style) and Hai Pai(Shanghai style) cheong-sam during the period of the Republic of China. The contrastive analysis of regional pattern between Jing Pai and Hai Pai cheong-sam expect to provide the theoretical basis for the former fashion designers and scholars. There are three approaches in the article: Data collection method, comparison method and Combining theory with practice method as film. Regarding components of pattern, both Jing Pai and Hai Pai cheong-sam have mostly single or composite pattern like plants. Further the most of Jing Pai cheong-sam pattern is traditional flower pattern. But Haipai cheong-sam patterns have some western flower pattern. Beside that, it have some geometry pattern. Regarding arrangement of the pattern, both cheong-sams have scattered dot style, the border style, and pictures style. But continuous type of Jing Pai cheong-sam is less while Hai Pai cheong-sam is the most. Comparing Jing Pai cheong-sam color of patterns in "Moment in Peking" is unadorned and types are simple as chinese traditional clothes; However, "In the Mood for Love" introduces us various material colors, new types of patterns and extraneous characteristic geometry patterns of Hai Pai cheong-sam. Generally speaking, the main characteristic of Jing Pai cheong-sam is traditional and conservatism. It keeps Chinese traditional pattern and culture to the most extent. However, Hai Pai cheong-sam are confluent and open with absorbed external culture and techniques which are endowed new artistic color.
The purpose of this study is to analyze designs of exhibition clothing in terms of the use of Korean image, to review objectively contents about the use of traditional image, understand external elements of works, and give directions and basic data for future works. This study selected the total 250 works as the subject of this study among the collected data. This study classified and examined the use of Korean image found in exhibition clothing according to period, item, line and form, material, technique of expression and accessary between 1996 and 2004. The results of analysis are as follows (1) The most artworks were comprised in adaptation were Choson costume. (2) Most of them were clothing works for female. The item of chima were the most preferred in use. (3) The straight lines are used more frequently than curved lines. Forms of skirts were applied to those of silhouettes, H and A form were common. (4) In terms of materials, traditional materials such as silk, linen and cotton were commonly used. (5) Geometric patterns and plant pattern were found more often than others. (6) In terms of techniques of expression, patchwork was most frequent, quilting, embroidery and pleating were ranked second, third and fourth. (7) In accessaries and other item, gorom were most common and norigae were ranked second. (8) As Korean image has been expressed by fine parts of traditional costumes, the traditional living item, and local symbols, the range of works are becoming wider.
The purpose of this research is to design and to produce actual high value added wedding dress comprised of the pear blossoms pattern(梨花紋), which is one of the traditional patterns which was not researched to this day, and of the Dang-$\breve{u}$i(唐衣) image which reflects our concept of beauty as if as a means of conducting empirical study for the application of traditional Korean patterns to the contemporary application. pear blossoms effectively signifie the image of beautiful bride thanks to the pure, graceful and clean image of white flower, both in the external and internal aspects. The Dang-$\breve{u}$i of the Chosun Dynasty, which is another motif is one of the representative clothing that expresses the beauty of the curve when it comes to the Korean culture as traditional wedding dress. Attempt was made to develop design for wedding dress that expresses the Korean style beauty that combined the tradition and the modern. Towards this end, the project was composed of the Korean-like Ewha, image of the Dang-$\breve{u}$i I, II and III to design three dresses. The Dress I presents the image of pure, elegant and beautiful bride, while Dress II represents the pure and city like trendiness of the Korean women today as bride. Dress III was made centered on the image of elegant, and chaste bride. As for the materials used, hand-woven silk and silk organza used for the traditional clothes. As for the ornaments, embroidery, quilted work, beads, corsage, burn-out and other techniques were used for expression.
In this study, a method for evaluating the performance of speed measurements was developed to assess the qualities of a vehicle detector. The evaluation method considers measurement errors that are reflected in a reference speed. For this, the concept of uncertainty in measurement was applied to the development method. Other factors such as precedent study, statistical processing techniques, and speed measurement performance method of traffic enforcement equipment and vehicle detection systems were also reviewed. Through this process, the problems of the existing evaluation methods were derived and developed for the new performance evaluation method. Vehicle detectors that are installed in the field were evaluated using the traditional assessment methods and the developed method. As a result, for traditional assessment methods, it was found that evaluation criteria are acceptable, while developed method's criteria are not acceptable. This means that traditional assessment methods do not sufficiently consider errors in measurement, so it has potential to over-estimate for performance of evaluation equipment. On the other hand, it was represented that the developed method should include variable factor such as errors in measurement and more precise compared to traditional assessment methods.
This study aims to shed light on the diversity and complexity of design represented through modern fashion and to identify growth opportunities for globalizing and modernizing traditional clothing designs. To this end, formative trends and aesthetic characteristics of $21^{st}$ century fashion were analyzed, with an emphasis on Japanism reflected in the works of Western designers. The research methodology consisted of an analysis as well as a literature review. A total of 217 designs with Japanism characteristics were identified from the 2001 S/S collection to the 2011 S/S collection in Paris, Milano, New York, and London, and these were analyzed in terms of image, color details, pattern, and accessories. The research findings with regard to the characteristics of modern fashion designs that reflect Japanism were as follows. First, sensuality was projected by highlighting the erotic elements of Japanese clothing. Second, the underlying principles, styles, and elements of Japan's traditional clothing were embodied in a cross-cultural and eclectic manner that blurred the boundaries between styles by mix-and- matching the traditional and the contemporary, the East and the West, and different styles. Third, a variety of patterns, colors, accessories, and design techniques associated with Japanese traditional clothing played a critical role in creating flamboyant and decorative images in contemporary fashion. Fourth, the overlapping of the kimono style, the flat design that accentuates body curves, and the layered style has created a beautifully free-form fashion that demonstrates non-structural features.
The first priority we face in the conservation of wall paintings, is the conservation of painting layer. The 'painting layer' is sometimes called the pigment layer, and refers to the painted surface. For the consolidation of this painting layer we use 'fixative'. Fixative is a common adhesive which has been used in various field and conservators have made up for the weak points in the consolidation of wall paintings. In my thesis, I will summarise the range of use, standards of selection, and results of research on the use of fixative in the conservation of European paintings. In addition, I will describe various kinds of our traditional fixatives. As synthetic resins have proved that it is not ideal as a fixative for wall painting, conservators have studied to find an alternative. Same as European conservators, Asian scientists has researched to find alternative fixative which is more suitable to the wall paintings in Asia based on their traditional techniques and materials. Therefore, 1 have studied to find an adequate fixative for our own wall paintings and I could conclude that we can consider traditional fixative which is made of 'seaweeds' as an alternative and it is very important to proceed research and experiment on this material.
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