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A Novel Auxiliary Edge-Resonant Snubber-Assisted Soft Switching PWM High Frequency Inverter with Series Capacitor Compensated Resonant Load for Consumer Induction Heating

  • Ahmed Nabil A.;Iwai Toshiaki;Omori Hideki;Lee Hyun-Woo;Nakaoka Mutsuo
    • Journal of Power Electronics
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    • v.6 no.2
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    • pp.95-103
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    • 2006
  • In this paper, a novel prototype of auxiliary switched capacitor assisted voltage source soft switching PWM Single-Ended Push Pull (SEPP) series capacitor compensated load resonant inverter with two auxiliary edge resonant lossless inductor snubbers is proposed and discussed for small scale consumer high-frequency induction heating (IH) appliances. The operation principle of this inverter is described by using switching mode equivalent circuits. The newly developed multi resonant high-frequency inverter using trench gate IGBTs can regulate its output AC power via constant frequency edge-resonant associated soft switching commutation by using an asymmetrical PWM control or duty cycle control scheme. The brand-new consumer IH products which use the newly proposed edge-resonant soft switching PWM-SEPP type series load resonant high-frequency inverters are evaluated using power regulation characteristics, actual efficiency vs. duty cycle and input power vs. actual efficiency characteristics. Their operating performance compared with some conventional soft switching high-frequency inverters for IH appliances is discussed on the basis of simulation and experimental results. The practical effectiveness of the newly proposed soft switching PWM SEPP series load resonant inverter is verified from an application point of view as being suitable for consumer high-frequency IH appliances.

A Study for the Development of a Tailored Jacket Pattern for the Chinese Adult Women - Focused on the women in their early 20s in Shanghai -

  • Kang, Yeon-Kyung;Sohn, Hee-Soon
    • Journal of Fashion Business
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    • v.14 no.6
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    • pp.146-169
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    • 2010
  • For the purpose to develop the pattern of a tailored jacket for the Chinese adult women, a drawing method for the pattern of a tailored jacket was selected with the style of 'on&on', a young and casual brand of Beaucre Merchandising Co., Ltd. that has been successful in the China market, and then the measures to be applied were set up by properly combining the body measures such as the mean, mode and median of the entire group from data measured from women of 18 to 24 years old in Shanghai, China in 2008 and the mean body measures of the body type A of 2008 classified by GB/T 1335.2-1997. The pattern of a tailored jacket developed was verified for feasibility based on a wearing test and then revised for the parts with low jacket ability in general including the bust circumference, waist circumference, hip circumference, shoulder, waist back length and back area. The final measures applied for the development of a tailored jacket were 160-165cm for the height, the bust circumference of 87.7cm, waist circumference of 69.6cm and hip circumference of 92.8cm for a jacket.

Artificial Intelligence-based Echocardiogram Video Classification by Aggregating Dynamic Information

  • Ye, Zi;Kumar, Yogan J.;Sing, Goh O.;Song, Fengyan;Ni, Xianda;Wang, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.500-521
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    • 2021
  • Echocardiography, an ultrasound scan of the heart, is regarded as the primary physiological test for heart disease diagnoses. How an echocardiogram is interpreted also relies intensively on the determination of the view. Some of such views are identified as standard views because of the presentation and ease of the evaluations of the major cardiac structures of them. However, finding valid cardiac views has traditionally been time-consuming, and a laborious process because medical imaging is interpreted manually by the specialist. Therefore, this study aims to speed up the diagnosis process and reduce diagnostic error by providing an automated identification of standard cardiac views based on deep learning technology. More importantly, based on a brand-new echocardiogram dataset of the Asian race, our research considers and assesses some new neural network architectures driven by action recognition in video. Finally, the research concludes and verifies that these methods aggregating dynamic information will receive a stronger classification effect.

A Study and Analysis of COVID-19 Diagnosis and Approach of Deep Learning

  • R, Mangai Begum
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.149-158
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    • 2022
  • The pandemic of Covid-19 (Coronavirus Disease 19) has devastated the world, affected millions of people, and disrupted the world economy. The cause of the Covid19 epidemic has been identified as a new variant known as Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV2). It motives irritation of a small air sac referred to as the alveoli. The alveoli make up most of the tissue in the lungs and fill the sac with mucus. Most human beings with Covid19 usually do no longer improve pneumonia. However, chest x-rays of seriously unwell sufferers can be a useful device for medical doctors in diagnosing Covid19-both CT and X-ray exhibit usual patterns of frosted glass (GGO) and consolidation. The introduction of deep getting to know and brand new imaging helps radiologists and medical practitioners discover these unnatural patterns and pick out Covid19-infected chest x-rays. This venture makes use of a new deep studying structure proposed to diagnose Covid19 by the use of chest X-rays. The suggested model in this work aims to predict and forecast the patients at risk and identify the primary COVID-19 risk variables

An Understanding of Keyword Networks on Research Trends on Jeju Tourism and Sports Tourism (제주관광과 스포츠관광에 관한 연구의 키워드 네트워크에 대한 이해)

  • Joonhyeong Joseph Kim;Sung-Hun Choi
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.305-318
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    • 2024
  • Purpose - The purpose of this study was to conduct a preliminary study to identify key trends on research articles indexed in KCI in relation to tourism in Jeju and sports tourism. Design/methodology/approach - Information regarding research articles focused on Jeju tourism and sports tourism indexed in KCI (145 and 120 articles respectively) were collected and finally abstract written in Korean of 100 and 91 articles on sports tourism and Jeju tourism respectively were chosen for the further analysis after removing redundant articles. R program was used to analyze keyword frequencies, co-occurring terms, and degree/betweeness centrality measures and visualize the keyword network results. Findings - Event, marketing, content, program, implication, service, stadium, and tourism destination have been identified as keywords with highest frequencies among research on sport tourism, whereas tourism destination, image, brand, content, data, Chinese, satisfaction, eco-tourism service, place of arrival were highly appearing terms among research on Jeju tourism. Research implications or Originality - This study highlighted that Jeju has been interlinked with a range of terms such as programs influencing Jeju tourism, natural environment, tourism-related resources (e.g., museums, dramas, etc.), whereas sports has been closely related to sports event and vaiours types of sports (e.g., bicycle, staking, and scuber), but not to Jeju-do.

Effects of Antimicrobial Socks Using Hemp Stem Bark Extract Fibers on Foot Health Improvement (대마줄기껍질 추출 섬유를 활용한 항균 양말이 발 건강 개선에 미치는 영향)

  • Su-Hyun Kim;Hee-Sook Kim
    • Fashion & Textile Research Journal
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    • v.26 no.2
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    • pp.190-197
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    • 2024
  • With increasing global interest in environmentally friendly materials and the consequent rise in demand, there is a growing need for alternatives to synthetic fibers, which can cause skin diseases and other side effects. The fashion industry is emphasizing material sustainability owing to concerns about increasing carbon emissions. Moreover, consumers express a strong desire for ecofriendly and sustainable materials. Therefore, clothing brand companies are developing eco-friendly products to enhance their corporate image. Hemp fibers are recognized for their functionality and are utilized as crucial materials in the development of eco-friendly products by global fashion companies. In this study, we produced socks that effectively improve foot health using hemp stem bark extract fibers and demonstrated the positive efficacy of natural fibers through functional and wearability evaluations. Hemp stem bark extract fibers showed 99.9% antimicrobial effectiveness against bacteria responsible for sweat-induced bacterial proliferation and odor, when blended with lyocell fibers and woven into fabric to manufacture socks. Wearability evaluations of these terry cloth socks confirmed a reduction in foot odor and fatigue among the participants with a consumer satisfaction of 4.63/5. These findings confirm the effectiveness and positive impact of the natural antimicrobial properties of hemp fibers and terry cloth structure in improving foot health.

Collaboration Strategies of Fashion Companies and Customer Attitudes (시장공사적협동책략화소비자태도(时装公司的协同策略和消费者态度))

  • Chun, Eun-Ha;Niehm, Linda S.
    • Journal of Global Scholars of Marketing Science
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    • v.20 no.1
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    • pp.4-14
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    • 2010
  • Collaboration strategies entail information sharing and other varied forms of cooperation that are mutually beneficial to the company and stakeholder groups. This study addresses the specific types of collaboration used in the fashion industry while also examining strategies that have been most successful for fashion companies and perceived benefits of collaboration from the customer perspective. In the present study we define fashion companies and brands as collaborators and their partners or stakeholders as collaboratees. We define collaboration as a cooperative relationship where more than two companies, brands or individuals provide customers with beneficial outcomes utilizing their own competitive advantages on an equal basis. Collaboration strategies entail information sharing and other varied forms of cooperation that are mutually beneficial to the company and stakeholder groups. Through collaboration, fashion companies have pursued both tangible differentiation, such as design and technology applications, and intangible differentiation such as emotional and psychological benefits to customers. As a result, collaboration within the fashion industry has become an important, value creating concept. This qualitative study utilized case studies and in-depth interview methodologies to examine customers' attitudes concerning collaboration in the fashion industry. A total of 173 collaboration cases were identified in Korean and international markets from 1998 through December 2008, focusing on fashion companies. Cases were collected from documented data including websites and industry data bases and top ranked portal search sites such as: Rankey.com; Naver, Daum, and Nate; and representative fashion information websites, Samsungdesignnet and Firstviewkorea. Cases were collected between November 2008 and February 2009. Cases were selected for the analysis where one or more partners were associated with the production of fashion products (excluding textile production), retail fashion products, or designer services. Additional collaboration case information was obtained from news articles, periodicals, internet portal sites and fashion information sites as conducted in prior studies (Jeong and Kim 2008; Park and Park 2004; Yoon 2005). In total, 173 cases were selected for analysis that clearly exhibited the benefits and outcomes of collaboration efforts and strategies between fashion companies and stakeholders. Findings show that the overall results show that for both partners (collaborator and collaboratee) participating in collaboration, that the major benefits are reduction of costs and risks by sharing resource such as design power, image, costs, technology and targets, and creation of synergy. Regarding types of collaboration outcomes, product/design was most important (55%), followed by promotion (21%), price (20%), and place (4%). This result shows that collaboration plays an important role in giving life to products and designs, particularly in the fashion industry which seeks for creative and newness. To be successful in collaboration efforts, results of the depth interviews in this study confirm that fashion companies should have a clear objective on why they are doing the collaboration. After setting the objective, they should select collaboratees that match their brand image and target market, make quality co-products that have definite concepts and differentiating factors, and also pay attention to increasing brand awareness. Based on depth interviews with customers, customer benefits were categorized into six factors: pursuit for individual character; pursuit for brand; pursuit for scarcity; pursuit for fashion; pursuit for economic efficiency; and pursuit for sociality. Customers also placed more importance on image, reputation, and trust of brands regarding the cases shown in the interviews. They also commented that strong branding should come first before other marketing strategies. However, success factors recognized by experts and customers in this study showed different results by subcategories. Thus, target customers and target market should be studied from various dimensions to develop appropriate strategies for successful collaboration.

The Difference in the Latitude of Price Acceptance between On- and Off-line transaction in Stock Industry (증권업의 온라인과 오프라인간 가격수용범위 (latitude of price acceptance) 차이에 관한 연구)

  • Hong, Jae-Weon;Kwak, Young-Sik
    • Journal of Global Scholars of Marketing Science
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    • v.13
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    • pp.71-88
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    • 2004
  • Although the factors that affect the width of latitude of price acceptance is well documented, the attempt to develop a practice-oriented methodology to calibrate the region of price insensitivity (i.e., a latitude of price acceptance) for a given individual brand has been relatively rare. The researcher aims to try to full this gap by developing a conjoint analysis-based procedure that can be applied to many industries. Furthermore, we examine the difference in the latitude of price acceptance between on- and off-line transaction in stock industry in Korea. The conjoint analysis-based procedure was applied to measure the disaggregate price response curve for individual stock investment both on- and off line transaction channel. The curves from the samples enable us to estimate the individual choice probabilities corresponding to applied price points. Using t-test the differences in mean choice probabilities between the list price and another price point were tested, through which we can get the latitude of price acceptance for a given brand in stock market. These procedures were tested in on- and off-line stock market in South Korea. The results showed that investors on off-line channel have wider latitudes of price acceptance than the investors on on-line transaction system.

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The Effect of Mobile Advertising Platform through Big Data Analytics: Focusing on Advertising, and Media Characteristics (빅데이터 분석을 통한 모바일 광고플랫폼의 광고효과 연구: 광고특성, 매체특성을 중심으로)

  • Bae, Seong Deok;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.24 no.2
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    • pp.37-57
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    • 2018
  • With the spread of smart phones, interest in mobile media is on the increase as useful media recently. Mobile media is assessed as having differentiated advantages from existing media in that not only can they provide consumers with desired information anytime and anywhere but also real-time interaction is possible in them. So far, studies on mobile advertising were mostly researches analyzing satisfaction with, and acceptance of, mobile advertising based on survey, researches focusing on the factors affecting acceptance of mobile advertising messages and researches verifying the effect of mobile advertising on brand recall, advertising attitude and brand attitude through experiments. Most of the domestic mobile advertising studies related to advertisement effect and advertisement attitude have been conducted through experiments and surveys. The advertising effectiveness measure of the mobile ad used the attitude of the advertisement, purchase intention, etc. To date, there have been few studies on the effects of mobile advertising on actual advertising data to prove the characteristics of the advertising platform and to prove the relationship between the factors influencing the advertising effect and the factors. In order to explore advertising effect of mobile advertising platform currently commercialized, this study defined advertising characteristics and media characteristics from the perspective of advertiser, advertising platform and publisher and analyzed the influence of each characteristic on advertising effect. As the advertisement characteristics, we classified advertisement format classified by bar type and floating type, and advertisement material classified by image and text. We defined advertisement characteristics of advertisement platform as Hedonic and Utilitarian media characteristics. As a dependent variable, we use CTR, which is the ratio of response (click) to ad exposure. The theoretical background and the analysis of the mobile advertising business, the hypothesis that the advertisement effect is different according to the advertisement specification, the advertisement material, In the ad standard, bar ads are classified as static framing, Floating ads can be categorized as dynamic framing, and the hypothetical definition of floating advertisements, which are high-profile dynamic framing ads, is highly responsive. In advertising, images with high salience are defined to have higher ad response than text. In the media characteristics classified as practical / hedonic type, it is defined that the hedonic type media has a more relaxed tendency than the practical media, and there is a high possibility of receiving various information because there is no clear target. In addition, image material and hedonic media are defined to be highly effective in the interaction between advertisement specification and advertisement material, advertisement specifications and media characteristics, and advertisement material and media characteristics. As the result of regression analysis on each characteristic, material standard, which is a characteristic of mobile advertisement, and media characteristics separated into 'Hedonic' and 'Utilitarian' had significant influence on advertisement effect and mutual interaction effect was also confirmed. In the mobile advertising standard, the advertising effect of the floating advertisement is higher than that of the bar advertisement, Floating ads were more effective than text ads for image ads. In addition, it was confirmed that the advertising effect is higher in the practical media than the hedonic media. The research was carried out with the big data collected from the mobile advertising platform, and it was possible to grasp the advertising effect of the measure index standard which is used in the practical work which could not be grasped in the previous research. In other words, the study was conducted using the CTR, which is a measure of the effectiveness of the advertisement used in the online advertisement and the mobile advertisement, which are not dependent on the attitude of the ad, the attitude of the brand, and the purchase intention. This study suggests that CTR is used as a dependent variable of advertising effect based on actual data of mobile ad platform accumulated over a long period of time. The results of this study is expected to contribute to establishment of optimum advertisement strategy such as creation of advertising materials and planning of media which suit advertised products at the time of mobile advertisement.

A Study of Perception of Golfwear Using Big Data Analysis (빅데이터를 활용한 골프웨어에 관한 인식 연구)

  • Lee, Areum;Lee, Jin Hwa
    • Fashion & Textile Research Journal
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    • v.20 no.5
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    • pp.533-547
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    • 2018
  • The objective of this study is to examine the perception of golfwear and related trends based on major keywords and associated words related to golfwear utilizing big data. For this study, the data was collected from blogs, Jisikin and Tips, news articles, and web $caf{\acute{e}}$ from two of the most commonly used search engines (Naver & Daum) containing the keywords, 'Golfwear' and 'Golf clothes'. For data collection, frequency and matrix data were extracted through Textom, from January 1, 2016 to December 31, 2017. From the matrix created by Textom, Degree centrality, Closeness centrality, Betweenness centrality, and Eigenvector centrality were calculated and analyzed by utilizing Netminer 4.0. As a result of analysis, it was found that the keyword 'brand' showed the highest rank in web visibility followed by 'woman', 'size', 'man', 'fashion', 'sports', 'price', 'store', 'discount', 'equipment' in the top 10 frequency rankings. For centrality calculations, only the top 30 keywords were included because the density was extremely high due to high frequency of the co-occurring keywords. The results of centrality calculations showed that the keywords on top of the rankings were similar to the frequency of the raw data. When the frequency was adjusted by subtracting 100 and 500 words, it showed different results as the low-ranking keywords such as J. Lindberg in the frequency analysis ranked high along with changes in the rankings of all centrality calculations. Such findings of this study will provide basis for marketing strategies and ways to increase awareness and web visibility for Golfwear brands.