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Conservation Management Strategies of Protected Areas for Genetic Resources, Torreya nucifera Forest of Bulhoesa(Temple) in Naju (나주 불회사 비자림 산림유전자원보호구역의 보전관리방안)

  • Jeong, Se-Myong;Jin, Seung-Hyun;Kim, Min-Hee;Baek, Kyung-Soo;Kim, Chong-Young;Ahn, Young-Sang;An, Ki-Wan
    • Korean Journal of Environment and Ecology
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    • v.27 no.1
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    • pp.71-84
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    • 2013
  • This study investigated some of the specific ecological characteristics Torreya nucifera forest and its health conditions so that was drawn from four different management strategies, such as Types A, B, C, and D, for protected areas of forest genetic resources. Type A refers to passive management which routinely keeps the current status of forests by removing competitive trees or curing damaged ones. Type B, as active one which improves Torreya nucifera forest, includes increase of soil pH and removal of Sasa borealis, Phyllostachys bambusoides, and deciduous broad-leaved trees such as Quercus variabilis, Carpinus tschonoskii et al.. Type C is another passive one which reduces soil acidity within Chamae cyparisobtusa forest and maintains the existing forests. Type D is another active one which decreases soil acidity and simultaneously reduces problems associated with competitive and invasive plants to nurture the young trees. At last, it is important to note that the protected areas for forest genetic resources need to be entitled to categories III(natural monument) or IV(habitat/species management area) in accordance with protected area management guidelines of IUCN.

Design and Implementation of Visitor Access Control System using Deep learning Face Recognition (딥러닝 얼굴인식 기술을 활용한 방문자 출입관리 시스템 설계와 구현)

  • Heo, Seok-Yeol;Kim, Kang Min;Lee, Wan-Jik
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.245-251
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    • 2021
  • As the trend of steadily increasing the number of single or double household, there is a growing demand to see who is the outsider visiting the home during the free time. Various models of face recognition technology have been proposed through many studies, and Harr Cascade of OpenCV and Hog of Dlib are representative open source models. Among the two modes, Dlib's Hog has strengths in front of the indoor and at a limited distance, which is the focus of this study. In this paper, a face recognition visitor access system based on Dlib was designed and implemented. The whole system consists of a front module, a server module, and a mobile module, and in detail, it includes face registration, face recognition, real-time visitor verification and remote control, and video storage functions. The Precision, Specificity, and Accuracy according to the change of the distance threshold value were calculated using the error matrix with the photos published on the Internet, and compared with the results of previous studies. As a result of the experiment, it was confirmed that the implemented system was operating normally, and the result was confirmed to be similar to that reported by Dlib.

Implementation of a Learning Support System that Facilitates Teacher-Student Interaction Utilizing a Digital Human (디지털 휴먼을 활용하여 교수-학생 상호작용을 촉진시키는 학습지원 시스템 구현)

  • Gyu-Sung Jung;Chan-Hyeong Im;Hae-Chan Lee;Ra Yun Boo;Soonuk Seol
    • Journal of Practical Engineering Education
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    • v.14 no.3
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    • pp.523-533
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    • 2022
  • During the COVID-19 pandemic, the use of video classes and real-time online education has increased, but the lack of interaction between instructors and learners remains a challenging problem to be resolved. This paper designs and implements a learning support system that utilizes a digital human to improve faculty-student interaction, which plays an important role in increasing the educational effect and satisfaction of real-time online classes. In this paper, a digital human participates in a class as a virtual learner and asks questions raised by other learners through an anonymous chat system to the instructor on behalf of the learners. In addition, as a class facilitator, the digital human analyzes the lecturer's speech in real time and provides it to the learner in the form of a summary of the class, thereby facilitating faculty-student interaction. In order to confirm that the proposed system can be used in actual online real-time classes, we apply our system to Zoom classes. Experimental results show that facilitated Q&A and real-time class summaries are successfully provided through our digital human-based learning support system.

Designing an Intelligent Advertising Business Model in Seoul's Metro Network (서울지하철의 지능형 광고 비즈니스모델 설계)

  • Musyoka, Kavoya Job;Lim, Gyoo Gun
    • Journal of Intelligence and Information Systems
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    • v.23 no.4
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    • pp.1-31
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    • 2017
  • Modern businesses are adopting new technologies to serve their markets better as well as to improve efficiency and productivity. The advertising industry has continuously experienced disruptions from the traditional channels (radio, television and print media) to new complex ones including internet, social media and mobile-based advertising. This case study focuses on proposing intelligent advertising business model in Seoul's metro network. Seoul has one of the world's busiest metro network and transports a huge number of travelers on a daily basis. The high number of travelers coupled with a well-planned metro network creates a platform where marketers can initiate engagement and interact with both customers and potential customers. In the current advertising model, advertising is on illuminated and framed posters in the stations and in-car, non-illuminated posters, and digital screens that show scheduled arrivals and departures of metros. Some stations have digital screens that show adverts but they do not have location capability. Most of the current advertising media have one key limitation: space. For posters whether illuminated or not, one space can host only one advert at a time. Empirical literatures show that there is room for improving this advertising model and eliminate the space limitation by replacing the poster adverts with digital advertising platform. This new model will not only be digital, but will also provide intelligent advertising platform that is driven by data. The digital platform will incorporate location sensing, e-commerce, and mobile platform to create new value to all stakeholders. Travel cards used in the metro will be registered and the card scanners will have a capability to capture traveler's data when travelers tap their cards. This data once analyzed will make it possible to identify different customer groups. Advertisers and marketers will then be able to target specific customer groups, customize adverts based on the targeted consumer group, and offer a wide variety of advertising formats. Format includes video, cinemagraphs, moving pictures, and animation. Different advert formats create different emotions in the customer's mind and the goal should be to use format or combination of formats that arouse the expected emotion and lead to an engagement. Combination of different formats will be more effective and this can only work in a digital platform. Adverts will be location based, ensuring that adverts will show more frequently when the metro is near the premises of an advertiser. The advertising platform will automatically detect the next station and screens inside the metro will prioritize adverts in the station where the metro will be stopping. In the mobile platform, customers who opt to receive notifications will receive them when they approach the business premises of advertiser. The mobile platform will have indoor navigation for the underground shopping malls that will allow customers to search for facilities within the mall, products they may want to buy as well as deals going on in the underground mall. To create an end-to-end solution, the mobile solution will have a capability to allow customers purchase products through their phones, get coupons for deals, and review products and shops where they have bought a product. The indoor navigation will host intelligent mobile-based advertisement and a recommendation system. The indoor navigation will have adverts such that when a customer is searching for information, the recommendation system shows adverts that are near the place traveler is searching or in the direction that the traveler is moving. These adverts will be linked to the e-commerce platform such that if a customer clicks on an advert, it leads them to the product description page. The whole system will have multi-language as well as text-to-speech capability such that both locals and tourists have no language barrier. The implications of implementing this model are varied including support for small and medium businesses operating in the underground malls, improved customer experience, new job opportunities, additional revenue to business model operator, and flexibility in advertising. The new value created will benefit all the stakeholders.

A Study on the Utilization of Diagnostic Equipments and Patient Dose for Diagnostic Radiological Procedures in Korea (진단방사선영역에서 방사선장치의 이용실태 및 환자피폭선량에 관한 조사연구)

  • Kim Youhyun;Choi Jonghak;Kim Sungsoo;Lee Chanhyeup;Cho Pyongkon;Lee Youngbae;Kim Chelmin
    • Progress in Medical Physics
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    • v.16 no.1
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    • pp.10-15
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    • 2005
  • IAEA's guidance levels have been provided for western people to the end. Guidance levels lower than the IAEA'S will be necessary in view of Korean people's proportions. Therefore, we need to develope the standard doses for Korean people. And we conducted a nationwide survey of patient dose from x-ray examinations in Korea. In this study, the 278 institutions were selected from Members Book of Korean Hospital Association. The valid response rate was approximately 57.9%. Doses were calculated from the questionnaires by NDD method. We obtained the results were as follows; 1) General radiographic equipments were distributed for 42.0%, fluoroscopic equipments 29.4%, dental equipments 13.2%, CT units 8.1 % and mamographic units 7.2%. 2) According to classification by rectification, three-phase equipments were 29.9%, inverter-type generators 29.5%, single-phase equipments 25.5%, constant voltage units 9.0% and unknown units 6.0%. 3) According to classification by receptor system, film-screen types were 46.8%, CR types 26.8%, DR types 17.7% and unknown types 8.9%. 4) The number of examinations were chest 49.2%, spine 16.8% and abdomen 12.7%. 5) Patient doses were head AP 3.44 mGy, abdomen AP 4.25 mGy and chest PA 0.39 mGy.

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