• Title/Summary/Keyword: Virtual methods

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Fall prevention strategies in community-dwelling older adults aged 65 or over with type 2 diabetes mellitus: a systematic review and meta-analysis

  • Hwang, Sujin;Woo, Youngkeun
    • Physical Therapy Rehabilitation Science
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    • v.7 no.4
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    • pp.197-203
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    • 2018
  • Objective: Independent walking is the most essential prerequisite to maintain quality of life in older persons. The purpose of this review was to investigate the effect of fall prevention strategies on fall risk for type 2 diabetes mellitus (T2DM) within community-dwelling older adults aged 65 and over. Design: A systematic review and meta-analysis. Methods: PubMed and three other databases were searched up to October 31st, 2018 and randomized controlled trials (RCTs) evaluating fall prevention strategies for fall risk in persons who were 65 years of age or above with T2DM were included. The review extracted the following information from each study selected: first author's surname, published year, country, study population, type of intervention, intensity of intervention, comparison, measurement variables, additional therapy, summary of results, and mean and standard deviation from selected studies. Results: This review selected fourteen RCTs with 460 older adults with diabetes mellitus. Of the 14 studies, the types of intervention used to improve the risk of falls were strengthening (5), aerobic exercises (2), multimodal exercises (4), one virtual reality exercise (1), whole body vibration with balance exercise (1), and Tai Chi exercise (1). Seven RCTs were eligible for the meta-analysis. Therapeutic interventions were more effective than the control group for the Timed Up-and-Go test (-1.11; 95% CI, -1.82 to -0.41) and the 6-minute Walk Test (-1.89; 95% CI, -8.33 to 4.54). Conclusions: The results of the review suggest that interventions to prevent fall risk in older adults with T2DM should focus on strengthening, balance, aerobic, and multimodal exercises.

Three-dimensional evaluation of the transfer accuracy of a bracket jig fabricated using computer-aided design and manufacturing to the anterior dentition: An in vitro study

  • Park, Jae-Hyun;Choi, Jin-Young;Kim, Seong-Hun;Kim, Su-Jung;Lee, Kee-Joon;Nelson, Gerald
    • The korean journal of orthodontics
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    • v.51 no.6
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    • pp.375-386
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    • 2021
  • Objective: To evaluate the accuracy of a one-piece bracket jig system fabricated using computer-aided design and manufacturing (CAD/CAM) by employing three-dimensional (3D) digital superimposition. Methods: This in vitro study included 226 anterior teeth selected from 20 patients undergoing orthodontic treatment. Bracket position errors from each of the 40 arches were analyzed quantitatively via 3D digital superimposition (best-fit algorithm) of the virtual bracket and actual bracket after indirect bonding, after accounting for possible variables that may affect accuracy, such as crowding and presence of the resin base. Results: The device could transfer the bracket accurately to the desired position of the patient's dentition within a clinically acceptable range of ± 0.05 mm and 2.0° for linear and angular measurements, respectively. The average linear measurements ranged from 0.029 to 0.101 mm. Among the angular measurements, rotation values showed the least deviation and ranged from 0.396° to 0.623°. Directional bias was pronounced in the vertical direction, and many brackets were bonded toward the occlusal surface. However, no statistical difference was found for the three angular measurement values (torque, angulation, and rotation) in any of the groups classified according to crowding. When the teeth were moderately crowded, the mesio-distal, bucco-lingual, and rotation measurement values were affected by the presence of the resin base. Conclusions: The characteristics of the CAD/CAM one-piece jig system were demonstrated according to the influencing factors, and the transfer accuracy was verified to be within a clinically acceptable level for the indirect bracket bonding of anterior teeth.

A study on the visual image of men's suit (남성 정장 수트의 시각적 이미지에 관한 연구)

  • Kim, Jeong-Mee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.23 no.1
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    • pp.113-127
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    • 2021
  • This study aims to analyze the style of men's suits and extract expressional words for the development of semantic differential scales of visual images according to the change in silhouette. Research methods are literature studies, case studies, and questionnaires. The stimuli were created using CLO 3D, a virtual sewing CAD. This study's results are as follows: 1) The British suit jacket has an angled shoulder line using thin pads, and a slightly higher waistline. The pants of the suit have a high waistline and two pleats, so the thighs of the pants are wide. The American suit jacket has a natural shoulder line, and the waistline is not emphasized. The width of the jacket is relaxed, and the length is long. The pants of the suit have a higher waistline, and the pants are wide as well. The Italian suit jacket has wide shoulders, and the waistline is connected lower with a soft curve, and the length is relatively short. The trousers of the suit are tapered and get narrower as it goes down to the hem. 2) Because it originated in the practices of true bespoke tailoring, traditional British suits have a far more 'fitted' silhouette than the mass-produced styles that became emblematic of the American style. By the late 1950s, a sack-style suit was standard American business attire. This technique gives the sack suit its characteristically 'boxy' silhouette. The "Continental" presented a highly tailored silhouette, with padded shoulders, a slim, tight-fitting chest, and a closely tapered waist. The story was that Italian culture valued aesthetics over all else and thus sought the 'slim' suit style as much as possible. 3) The main expressional words of visual images for men's suits differ greatly depending on the silhouette of suit. The visual images are ranked in the order of 'neat', 'classic', 'educated', 'hard', 'mature', for fitted silhouettes. The words of 'masculine', 'basic', 'comfortable', 'simple', 'mature', 'conservative', 'modern', are ranked for boxy silhouettes. And the words of 'slim', 'young', 'neat', are noted for slim silhouettes.

Overlapping-based Smart Advertisement Technique for Mobile News Articles (모바일 뉴스 기사를 위한 중첩 기반의 스마트 광고 기법)

  • Rijayanti, Rita;Hwang, Mintae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.1015-1021
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    • 2020
  • Mobile news users want news articles without advertising, meanwhile the news providers require advertisement displays in several types to attain advertising revenue. In this paper, we classified the types of advertisements on mobile news articles into fixed article type which is fixed on some areas of articles, fixed screen type which is fixed on mobile screens, and a combination type of them. In addition, we proposed a smart solution based on overlapping method which effectively organize advertisements to not distract the readers. The proposed method is similar to fixed article type and overlapping technique of advertisements on news article's photo or virtual area. The performance evaluation result shows that the proposed method provides more spaces for news articles effectively than the existing methods. Although only some areas of advertisements may be blocked according to the number or size of advertisements, the effect is not critical.

A Study on the Metaverse: Focused on the Application of News Big Data Service and Case Study (메타버스에 관한 연구: 뉴스 빅데이터 서비스 활용과 사례 연구를 중심으로)

  • Kim, Chang-Sik;Lee, Yunhee;Ahn, Hyunchul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.2
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    • pp.85-101
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    • 2021
  • This study aims to gain insight through understanding the Metaverse, which has recently become a hot topic. The study utilizes the methods of case study and News Bigdata Analysis Services. The Metaverse can be defined as a world with no separation between the virtual and real worlds. Currently, the Metaverse is dominated mainly by the MZ generation, but just like smartphones have quickly entered our lives, the Metaverse will soon, too, become a part of our lives. To follow up on this change, all companies, including global companies, are going after the Metaverse. Today, the Metaverse is successfully being used in all types of fields, including gaming, performing arts, business, etc., and its essential technologies include VR/AR/MR/XR and AI. This study intends to help understand the Metaverse through a case analysis of Zepeto, which has 200 million users worldwide. On Zepeto, users can decorate their own avatars, hang out with friends, go to art galleries and performances, and create and sell items. Of these users, 90% are from outside of South Korea, and 80% are teenagers. With most of the users being underage, many legal and social problems also follow. Nevertheless, who will be the first to conquer the new world of the Metaverse will continue to be a big issue. This study also analyzes domestic news articles about the Metaverse by utilizing the BigKinds system. Starting in 1996, the number of articles about the Metaverse each year remains single digit, until in 2020 when the number sharply rises to 86 news. As of June 2021, there are 1,663 articles on the Metaverse. This study suggests that the Metaverse should now be carefully examined and closely followed.

Image-based CAPTCHA Using Multi-Image Composition and Its Secure Operation (복수의 이미지를 합성하여 사용하는 이미지 기반의 캡차와 이를 위한 안전한 운용 방법)

  • Kang, Jeon-Il;Maeng, Young-Je;Kim, Koon-Soon;Nyang, Dae-Hun;Lee, Kyung-Hee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.4
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    • pp.153-166
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    • 2008
  • According to the growth of the internet and the usage of software agents, the CAPTCHA that is a method for taking apart humans and computers has been widely deployed and used. As the results of many research activities, the CAPTCHA, which is spoken for a distorted image material including random text, has known to be easily breakable via artificial intelligence techniques. As one of alternatives for those text-based CAPTCHAs, methods using photos are concerned and various image-based CAPTCHAs are suggested. However, image-based CAPTCHAs still have some problems. In this paper, we discuss what are the problems in each image-based CAPTCHA and propose a new image-based CAPTCHA using image composition as the solution of those problems. Furthermore, for the secure operation of the CAPTCHA, we suggest a communication protocol that works without the virtual session and consider possible security and usability problems in the protocol.

Directions for the Development of Digital Twins Applying the Grounded Theory Methods (근거이론을 활용한 디지털 트윈 발전 방향성 제시)

  • Kang, Minshik
    • Journal of Industrial Convergence
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    • v.19 no.1
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    • pp.65-70
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    • 2021
  • This study aims to propose specific directions for developing digital twin contents. This aim is achieved by thorough literature review and applying the grounded theory. Based on customers' need analysis, this study suggests the priorities of contents development of digital twins. As a result, complex workflows and dangerous training contents are adequate to be developed. Moreover, large-scale projects such as nuclear powerplants that are hard to build the mock-ups were considered to be effective. This study provides significant information for not only software developers but also clients who desire to reduce training fees and improve the complex workflows. Since these client companies operate based upon multiple complex workflows, this study encourages stakeholders to make effective decisions. This research needs further analysis of current digital twin technology- possibilities and limitations.

Design and Development of XR Contents Authoring Framework for IT Convergence Education (융합영상콘텐츠 교육을 위한 XR 콘텐츠저작 프레임워크 설계 및 제작)

  • Leem, Eek-Su
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.633-639
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    • 2020
  • Despite the growing educational demand for the extended reality (XR) convergence content creation for non-IT students, fewer studies have attempted to education material development. In this paper, non-IT students' requirement to create XR convergence contents was analyzed and designed framework system specification. The object-oriented application framework (OOAF) was developed for non-IT students to create XR convergence contents through simple interaction methods such as drag and drop in-game engines. To evaluate the developed framework XR contents development course was operated with 26 industrial design majors sophomore in university. More than 90% of students succeeded in working on prototype XR contents in Oculus Rift. This result will be expected to improve the quality of XR contents creation education for non-IT students and contribute to the growth of the future convergence contents industry.

Digital Transformation of Education Brought by COVID-19 Pandemic

  • Kim, Hye-jin
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.6
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    • pp.183-193
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    • 2021
  • In this paper, the author found and analyzed the problems caused by the change of traditional teaching methods to online in classrooms and laboratories. Looking at the analysis of major problems, first, there were various technical problems, including not all environments and facilities being connected to the Internet. Second, the effectiveness of virtual classes, which were suddenly switched online, could also be questioned. Finally, in the face of a new environment, the stress of teachers to adapt rapidly to the new teaching methodology was a problem. The author proposed digital transformation as a way to address these problems. The author analyzed educational changes, learning modalities and various technical tools, and various tasks to enable digital transformation. First, the author investigated, analyzed, and presented the factors necessary to efficiently operate the classroom environment that will change to online. Next, the author analyzed the factors and problems needed to make the students' classes reliable and efficient, and proposed solutions. Finally, the author pointed out the problem that during online lectures, the responsibility of learning is excessively transferred from teachers to students, and proposed a solution to this problem. Subsequently, the author proposed future studies.

Detection of Complaints of Non-Face-to-Face Work before and during COVID-19 by Using Topic Modeling and Sentiment Analysis (동적 토픽 모델링과 감성 분석을 이용한 COVID-19 구간별 비대면 근무 부정요인 검출에 관한 연구)

  • Lee, Sun Min;Chun, Se Jin;Park, Sang Un;Lee, Tae Wook;Kim, Woo Ju
    • The Journal of Information Systems
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    • v.30 no.4
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    • pp.277-301
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    • 2021
  • Purpose The purpose of this study is to analyze the sentiment responses of the general public to non-face-to-face work using text mining methodology. As the number of non-face-to-face complaints is increasing over time, it is difficult to review and analyze in traditional methods such as surveys, and there is a limit to reflect real-time issues. Approach This study has proposed a method of the research model, first by collecting and cleansing the data related to non-face-to-face work among tweets posted on Twitter. Second, topics and keywords are extracted from tweets using LDA(Latent Dirichlet Allocation), a topic modeling technique, and changes for each section are analyzed through DTM(Dynamic Topic Modeling). Third, the complaints of non-face-to-face work are analyzed through the classification of positive and negative polarity in the COVID-19 section. Findings As a result of analyzing 1.54 million tweets related to non-face-to-face work, the number of IDs using non-face-to-face work-related words increased 7.2 times and the number of tweets increased 4.8 times after COVID-19. The top frequently used words related to non-face-to-face work appeared in the order of remote jobs, cybersecurity, technical jobs, productivity, and software. The words that have increased after the COVID-19 were concerned about lockdown and dismissal, and business transformation and also mentioned as to secure business continuity and virtual workplace. New Normal was newly mentioned as a new standard. Negative opinions found to be increased in the early stages of COVID-19 from 34% to 43%, and then stabilized again to 36% through non-face-to-face work sentiment analysis. The complaints were, policies such as strengthening cybersecurity, activating communication to improve work productivity, and diversifying work spaces.