• Journal of Information Processing Systems
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• v.20 no.1
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• pp.85-92
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• 2024

In recent years, Bitcoin and Ethereum have witnessed a surge in trading activity, driven by venture capital investment and funding through initial coin offerings (ICOs) and initial exchange offerings (IEOs). This heightened interest has led to kickstarting a vibrant ecosystem for blockchain development. The total number of cryptocurrencies listed on CoinMarketCap.com has reached 2,274 highlights how dynamic and wide blockchain development landscape has grown. In blockchain development, new blockchain projects are being created by forking blockchains inspired by major cryptocurrencies such as Bitcoin and Ethereum. These projects aim to address the perceived shortcomings and improve existing technologies. Altcoins, representing these alternative cryptocurrencies, are an ongoing industry effort to improve performance and security with enhancement proposals such as Bitcoin Improvement Proposals (BIP), Ethereum Improvement Proposals (EIP), and EOSIO Enhancement Proposals (EEP). With competitive attempts to improve blockchain performance and security, an ongoing performance race between various blockchains has taken shape, each claiming its own performance advantages. In this paper, we describe the transactions contained in the blocks of each representative blockchain, and find the factors that affect the transactions per second (TPS) through transaction processing and block generation processes, and suggest their relationship with scalability.

• The Research Journal of the Costume Culture
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• v.32 no.1
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• pp.17-37
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• 2024

This study examines the rise of the Body Positive Movement on TikTok and its role as a form of online content activism influencing the fashion design and industry. Through a combination of literature review and case study methodology, the study explores the expression techniques and thematic types of Body Positive Movement on TikTok. Reviews of literature, previous studies, online articles, fashion journals, and relevant search terms on TikTok informed a definition of Body Positive Movement and an analysis of its formation and rise. The research findings confirm the impact TikTok content on Body Positive Movement has on the fashion industry in addressing external factors (i.e., 'Appearance', 'Race', 'Aging', 'Physical Disability') and intrinsic factors (i.e., 'Acceptance of Diversity', 'Self-Esteem', 'Rejection of Stereotypes', 'Appropriate Representation', 'Information Provision'). The key external factor , 'Appearance', includes subcategories such as 'Body Shape', 'Body Hair', 'Skin', and 'Facial Features'. TikTok content creators on fashion creatively combine music, emojis, and visual storytelling to exhibit positive self-perception concerning these factors. A significant finding of the study is that short clips predominantly manifesting external factors differentiate into informative or enlightening videos associated with intrinsic factors. The study underscores Body Positive Movement's important influence on the fashion industry from design to presentation.

• Journal of Korean Medicine Rehabilitation
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• v.34 no.1
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• pp.39-47
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• 2024

Objectives The objective of this study was to investigate clinical the trends of Korean medicine treatments for iliopsoas muscle. Methods 6 Korean and foreign on-line databases were researched for articles discussing Korean medicine treatments for iliopsoas muscle. The included studies were classified according to the published years, study designs, techniques of treatment and evaluation method. Results The total number of studies selected was 12, which included 8 case reports, 2 randomized controlled trials (RCT), and 2 non-RCT. In these studies, acupuncture, pharmacopuncture, Chuna, and herbal medicine were used for treatment. Most studies used visual analogue scale as primary outcome. Conclusions Based on the results of the collected studies, we analyzed the clinical trends of Korean medicine treatments for iliopsoas muscle. The results showed that a variety of Korean medicine treatments can be applied to the iliopsoas muscle and positive effects can be confirmed.

• 대한상한금궤의학회지
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• v.15 no.1
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• pp.183-196
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• 2023

Objective : This study reports a case of chronic Bartholin's cyst treated with Sosiho-tang and suggests a modifying method. Methods : We reviewed a 41-year-old female patient with fatigue accompanied by chronic Bartholin's cyst. Symptomatic changes were checked on every visit using SF-12 (Short-form-12 health survey) and VAS (Visual analogue scale). The 104^th provision in Shanghanlun was compared with diagnosis and process analysis. Results : The modified Sosiho-tang removed Scutellariae Radix and used Phlomidis Radix of the same weight. The exacerbation factors were characterized with excessive activity (大), Edema and swelling of the foot (滿), Feeling tired in morning (朝) in 104th provision. After 45 days modified Sosiho-tang and 15 days Sosiho-tang, SF-12 and VAS ameliorated. No adverse effects was observed to the last follow-up visit. Conclusions : Modified sisiho-tang and Sosiho-tang were effective to the patient. Clinical application of 104^th provision of Shanghanlun can consider excessive activity, edema, and morning fatigue.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.57 no.3
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• pp.253-261
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• 2024

This study investigated the digital color profiles corresponding to different maturity stages and levels of brown croaker Miichthys miiuy specimens collected from the Southern Sea of South Korea. Maturity stages were determined using photomicrographs of ovarian developmental phases, which were compared with digital color values. Brown croaker specimens ranged from 24 to 81 cm in standard length; mature ovaries were predominantly observed in specimens that exceed 40 cm in length. Monthly ovary color values were primarily concentrated in the 1st and 4th quadrants, with both a^* and b^* values falling within a range of ±15 centered on the origin. Similarly, the testes color values were predominantly situated in the 4th quadrant, with a^* and b^* values ranging from -5 to 15 and 10 to 14, respectively. While the color values of the mature and spawning stages overlapped within a narrow range, distinguishing between them required both the color value and monthly color value distribution to be considered. Thus, this study underscores the efficacy of digital color measurements for assessing brown croaker gonad maturity, and provides more quantitative insights compared to subjective visual assessments by humans.

• The Research Journal of the Costume Culture
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• v.32 no.3
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• pp.438-451
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• 2024

The interlacing technique has a long history of use as a means of creative expression and persists in modern society to satisfy the individual pursuit of pastimes. This method has the developmental potential to create new trends in the future. Interlacing techniques (e.g., basketry, plaiting, braiding, and knotting) are closely related to plastic arts fields, architecture, art, and industrial design where the various interlacing practices are applied. This research uses case analysis to study the types of expression found in the formative art field wherein the interlacing technique is applied. Results reveal several expressions, including optical illusion visual type, relief surface type, porous perspective type, and object borrowing type, all of which appeared in fashion bags. The aesthetic formativeness, which appeared in the fashion bags that applied interlacing techniques, was then classified according to geometric formative beauty in a process based on rules and order. Nature-friendly formative beauty reflecting handicraft locality and omnidirectional formative beauty by disordered deconstruction and heterogeneous combination were determined. The use of interlacing techniques that show creative, unique combinations and variations is expected to inspire the development and application of bag design that suits individual and original modern fashion trends. One limitation of this thesis is that it only studied cases appearing in modern fashion bags.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.3
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• pp.1-12
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• 2024

This study explores how generative AI technology can be utilized to create more efficient and effective employment portfolios in the rapidly changing job market and recruitment landscape. To achieve this, the study first conducted an in-depth analysis of recent employment trends and recruitment patterns, categorizing various generative AI tools based on their application in areas such as resume writing, portfolio design, and video production. Particularly, this research includes a case study of a career planning course in a university setting, where generative AI was applied, to empirically evaluate its potential for educational use. Through this case study, the research thoroughly examines how generative AI can contribute to efficient job preparation and skill enhancement for job seekers. The findings suggest that generative AI plays a critical role in providing personalized information, generating creative ideas, and enhancing both the visual and functional quality of employment portfolios, ultimately contributing to increased competitiveness in the job market. The study also emphasizes the need for further research on the expanding scope and effectiveness of generative AI as the technology continues to evolve.

• Journal of Platform Technology
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• v.11 no.6
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• pp.13-20
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• 2023

Regularly inspecting vehicle tires' condition is imperative for driving safety and comfort. Poorly maintained tires can pose fatal risks, leading to accidents. Unfortunately, manual tire visual inspections are often considered no less laborious than employing an automatic tire inspection system. Nevertheless, an automated tire inspection method can significantly enhance driver compliance and awareness, encouraging routine checks. Therefore, there is an urgency for automated tire inspection solutions. Here, we focus on developing a deep learning (DL) model to predict cracked tires. The main idea of this study is to demonstrate the comparative analysis of DenseNet121, VGG-19 and EfficientNet Convolution Neural Network-based (CNN) Transfer Learning (TL) and suggest which model is more recommended for cracked tire classification tasks. To measure the model's effectiveness, we experimented using a publicly accessible dataset of 1028 images categorized into two classes. Our experimental results obtain good performance in terms of accuracy, with 0.9515. This shows that the model is reliable even though it works on a dataset of tire images which are characterized by homogeneous color intensity.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.221-227
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• 2024

In autonomous navigation systems, the need for fast and accurate image processing using deep learning and advanced sensor technologies is paramount. These systems rely heavily on the ability to process and interpret visual data swiftly and precisely to ensure safe and efficient navigation. Despite the critical importance of such capabilities, there has been a noticeable lack of research specifically focused on ship image classification for maritime applications. This gap highlights the necessity for more in-depth studies in this domain. In this paper, we aim to address this gap by presenting a comprehensive comparative study of ship image classification using two distinct neural network models: the Feedforward Neural Network (FNN) and the Convolutional Neural Network (CNN). Our study involves the application of both models to the task of classifying ship images, utilizing a dataset specifically prepared for this purpose. Through our analysis, we found that the Convolutional Neural Network demonstrates significantly more effective performance in accurately classifying ship images compared to the Feedforward Neural Network. The findings from this research are significant as they can contribute to the advancement of core source technologies for maritime autonomous navigation systems. By leveraging the superior image classification capabilities of convolutional neural networks, we can enhance the accuracy and reliability of these systems. This improvement is crucial for the development of more efficient and safer autonomous maritime operations, ultimately contributing to the broader field of autonomous transportation technology.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.57 no.4
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• pp.380-388
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• 2024

This study investigated the sexual maturation of the marbled flounder Pseudopleuronectes yokohamae, a commercially important flatfish species, through monthly sampling from the coastal waters of Pohang in the East Sea of Korea in 2022. We analyzed monthly changes in total length (TL), gonadosomatic index, maturity stage, and 50%, 75%, and 97.5% group maturity based on visual assessments and histological analysis of the gonads. The spawning period was determined to be from December to May. The TL at 50% maturity was 26.4 cm for females and 24.8 cm for males. These findings provide a basis for developing resource management strategies for Pleuronectidae.