• Title/Summary/Keyword: technology dissemination

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Implementation of Hybrid Smartcard Using Multi Encryption Method (다중 암호화 기법을 활용한 하이브리드 스마트카드 구현)

  • 이성은;장홍종;박인재;한선영
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.13 no.2
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    • pp.81-89
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    • 2003
  • With the rapid development of information and communication technology, online dissemination increases rapidly. So, It becomes more important to protect information. Recently the authentication system using public key infrastructure (PKI) is being utilized as an information protection infrastructure for electronic business transactions. And the smartcard system makes the most use of such an infrastructure. But because the certification based on the current PKI provides oかy basic user certification information, the use has to be limited in various application services that need the identification and authorization information as well as face-to-face information of the user. In order to protect a system from various kinds backings and related treats, we have proposed angular and private key multiplexing for prevention of smartcard forgery and alteration based on a photopolymer cryptosystem. When smartcard becomes prone to forgery and alteration, we should be able to verify it. Also, our parer proposes a new authentication system using multi authentication based on PKI. The smartcard has an excellent advantage in security and moving.

Rapid micropropagation of wild garlic (Allium victorialis var. platyphyllum) by the scooping method

  • Jeong, Mi Jin;Yong, Seong Hyeon;Kim, Do Hyeon;Park, Kwan Been;Kim, Hak Gon;Choi, Pil Son;Choi, Myung Suk
    • Journal of Plant Biotechnology
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    • v.49 no.3
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    • pp.213-221
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    • 2022
  • Wild garlic (Allium victorialis var. platyphyllum, AVVP) is a nontimber forest product used as an edible and medicinal vegetable. AVVP is usually propagated form offspring bulbs but it takes a long time to harvest. Using tissue culture technology could overcome this problem. This study investigated the optimal conditions for shoot multiplication, root growth, and plant growth by scooping AVVP bulbs. AVVP bulbs harvested from Ulleung Island, Korea, the main producer of AVVP, were surface-sterilized and used for in vitro propagation. Shoot multiplication was performed by the scooping method. More than five multiple shoots were induced from scooped tissue in Quoirin and Lepoivre (QL) medium containing plant growth regulators (PGRs); the maximum number of multiple shoots were induced from scooped tissue in QL medium containing 0.45 μM thidiazuron (TDZ) after 16 weeks of culture. Roots were induced directly at the base of the shoots in all treatments. In vitro rooting depended on the type of PGRs, and the best root-inducing treatment was QL medium containing 9.84 μM indole-3-butyric acid (IBA). Plants with in vitro roots were transferred to pots containing artificial soil and successfully acclimatized for 4 weeks. The acclimatized plants showed a survival rate of 80% after 20 weeks and gradually promoted growth depending on the acclimatization period. The results of this study will be of great help to AVVP dissemination through sustainable mass propagation.

Management of the Processes on the Quality Provision of the Logistic Activity in the Context of Socio-Economic Interaction of Their Participants

  • Savin, Stanislav;Kravchyk, Yurii;Dzhereliuk, Yuliia;Dyagileva, Olena;Naboka, Ruslan
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.45-52
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    • 2021
  • The article proves the relevance of developing conceptual frameworks for managing the quality assurance of logistics activities in the context of socio-economic interaction of their participants. It is established that the fundamental difference of the logistic approach in management from traditional approaches is the allocation of a single management function of previously separated, disparate material flows, as well as economic, technological, information integration of chain links into a single system capable of effective management of these flows. It is substantiated that the functioning of the enterprise as a logistics system can be represented in the form of a triad of logistics components, namely: supply logistics, production logistics, sales logistics. Management of quality assurance processes of logistics activities in the context of socio-economic interaction of their participants is a functional component of the entire logistics system due to the quality of work and interaction of all participants in the implementation of certain activities. The quality of logistics activities will affect the level of economic potential, rationalization and optimization of all logistics flows. It is proved that the management of quality assurance processes of logistics activities in the context of socio-economic interaction of their participants involves the following main areas: the introduction of a quality system of logistics processes; development and implementation of the general strategy of quality improvement at the enterprise; internal integration; controlling. Management of quality assurance processes of logistics activities in the context of socio-economic interaction of its participants requires compliance with the following requirements: systematic and comprehensive management of all flow processes; coordination of criteria and indicators for assessing the effectiveness of the entire logistics system; dissemination of the use and application of information technology; ensuring partnerships and close interaction of all participants in sales networks.

AQS: An Analytical Query System for Multi-Location Rice Evaluation Data

  • Nazareno, Franco;Jung, Seung-Hyun;Kang, Yu-Jin;Lee, Kyung-Hee;Cho, Wan-Sup
    • Journal of Korea Society of Industrial Information Systems
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    • v.15 no.2
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    • pp.59-67
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    • 2010
  • Rice varietal information exchange is vital for agricultural experiments and trials. With the growing size of rice data gathered around the world, and numerous research and development achievements, the effective collection and convenient ways of data dissemination is an important aspect to be dealt with. The collection of this data is continuously worked out through various international cooperation and network programs. The problem in acquiring this information anytime anywhere is the new challenge faced by rice breeders, scientist and crop information specialists, in order to perform rapid analysis and obtain significant results in rice research, thus alleviating rice production. To address these constraints, we propose an Online Analytical Query System, a web query application to provide breeders and rice scientist around the world a fast web search engine for rice varieties, giving the users the freedom to choose from which trial it has been used, trait observation parameters as well as geographical or weather conditions, and location specifications. The application uses data warehouse techniques and OLAP for summarization of agricultural trials conducted, and statistical analysis in deriving outstanding varieties used in these trials, consolidated in an Model-View-Controller Web framework.

Exploring of the Economy of Communion as Communities of Practice (실천공동체로서 나눔 경제 운영 탐색)

  • Kim, Jin-Hee;Kim, Byoung-Soo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.6
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    • pp.937-945
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    • 2017
  • Economy of Communion (EoC) is an emerging economic principle that recognizes the dilemma of traditional perspectives and turns to human centered values and ideas. Furthermore the EoC encompasses all the principles derives from free market economy, ethical norm and social solidarity. This study aims to understand Economy of Communion concepts and its ripple effects under current Korean economy condition which mainly follows Neo-liberalism. Korean economy needs new paradigm to deal with intensifying economical inequality in Korea these days. By understanding EoC's primary value and studying research cases and Sungsimdang, Seokwangsa one of EoC enterprise cases in Korea, this study suggests new economic paradigm. In response to the needs, two important practices should be manifested through fraternity: 1) mutural equity, and 2) dissemination of giving culture. These are construct the economy of communion, which is defined as unique humanism. This study is also expected to suggest new paradigm that establishes new economy system that can cover current economy system's problems.

Spam Image Detection Model based on Deep Learning for Improving Spam Filter

  • Seong-Guk Nam;Dong-Gun Lee;Yeong-Seok Seo
    • Journal of Information Processing Systems
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    • v.19 no.3
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    • pp.289-301
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    • 2023
  • Due to the development and dissemination of modern technology, anyone can easily communicate using services such as social network service (SNS) through a personal computer (PC) or smartphone. The development of these technologies has caused many beneficial effects. At the same time, bad effects also occurred, one of which was the spam problem. Spam refers to unwanted or rejected information received by unspecified users. The continuous exposure of such information to service users creates inconvenience in the user's use of the service, and if filtering is not performed correctly, the quality of service deteriorates. Recently, spammers are creating more malicious spam by distorting the image of spam text so that optical character recognition (OCR)-based spam filters cannot easily detect it. Fortunately, the level of transformation of image spam circulated on social media is not serious yet. However, in the mail system, spammers (the person who sends spam) showed various modifications to the spam image for neutralizing OCR, and therefore, the same situation can happen with spam images on social media. Spammers have been shown to interfere with OCR reading through geometric transformations such as image distortion, noise addition, and blurring. Various techniques have been studied to filter image spam, but at the same time, methods of interfering with image spam identification using obfuscated images are also continuously developing. In this paper, we propose a deep learning-based spam image detection model to improve the existing OCR-based spam image detection performance and compensate for vulnerabilities. The proposed model extracts text features and image features from the image using four sub-models. First, the OCR-based text model extracts the text-related features, whether the image contains spam words, and the word embedding vector from the input image. Then, the convolution neural network-based image model extracts image obfuscation and image feature vectors from the input image. The extracted feature is determined whether it is a spam image by the final spam image classifier. As a result of evaluating the F1-score of the proposed model, the performance was about 14 points higher than the OCR-based spam image detection performance.

The Implementation of a Lift Emergency Video Call System based on WebRTC using OpenAPI

  • Woon-Yong Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.155-161
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    • 2023
  • In this paper, we present a WebRTC-based emergency video call system structure that builds a service system in a constant monitoring environment to increase the usability and stability of elevator emergency call devices. The proposed system provides a smooth call environment between the emergency call system in the elevator and maintenance managers in case of an emergency, performs rapid response processing to elevator emergency calls through monitoring of the target elevator, and handles any emergency calls that may occur in the physical space of the elevator. The purpose is to build an environment that can implement low-latency, real-time video call services of voice and video by overcoming the physical constraints required for video calls. To this end, we have established a service environment based on OpenAPI, which is currently used in various fields and its performance has been proven, and provides video calls and emergency situation dissemination through rapid messaging by providing low-latency call quality. The presented system structure will be able to provide a basis for expanding various functions and constructing a reliable service environment and intelligent model for the elevator system through combination with the elevator control panel and various devices.

Current Status and Future Direction of the NIMS/KMA Argo Program (국립기상과학원 Argo 사업의 현황 및 추진 방향)

  • Baek-Jo Kim;Hyeong-Jun Jo;KiRyong Kang;Chul-Kyu Lee
    • Atmosphere
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    • v.33 no.5
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    • pp.561-570
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    • 2023
  • In order to improve the predictability of marine high-impacts weather such as typhoon and high waves, the marine observation network is an essential because it could be rapidly changed by strong air-sea interaction. In this regard, the National Institute of Meteorological Sciences, Korea Meteorological Administration (NIMS/KMA) has promoted the Argo float observation program since 2001 to participate in the International Argo program. In this study, current status and future direction of the NIMS/KMA Argo program are presented through the internal meeting and external expert forum. To date, a total of 264 Argo floats have been deployed into the offshore around the Korean Peninsula and the Northwestern Pacific Ocean. The real-time and delayed modes quality control (QC) system of Argo data was developed, and an official regional data assembling center (call-sign 'KM') was run. In 2002, the Argo homepage was established for the systematic management and dissemination of Argo data for domestic and international users. The future goal of the NIMS/KMA Argo program is to improve response to the marine high-impacts weather through a marine environment monitoring and observing system. The promotion strategy for this is divided into four areas: strengthening policy communication, developing observation strategies, promoting utilization research, and activating international cooperation.

A Study on the Dissemination Structure of Unfilled Positions in Universities Across the Country using Big Data: Using Panel and Tobit Regression Model (빅 데이터를 활용한 대학의 지역·권역별 학과의 미충원 파급구조 연구: 패널회귀모형과 토빗회귀모형의 응용을 중심으로)

  • Dong Woo Chae;Kun Oh Jung
    • Journal of Information Technology Applications and Management
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    • v.30 no.1
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    • pp.33-52
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    • 2023
  • This study observes the difference in the actual regional ripple effect of the decrease in admission resources due to the decrease in school age population, which has been weak in empirical studies, and how much the decrease in competition rate by department nationwide provides a significant shock to the decrease in enrollment rate in the population unit. An empirical quantitative analysis was attempted. As a result of applying the panel-tobit regression model, a clear gap was confirmed in the decrease in the registration rate due to the decrease in the competition rate both nationally and in the provinces, and in particular, a highly significant relationship was derived with the decrease in the recruitment rate. In particular, the sensitivity of the risk of unrecruitment due to a decrease in competition rate was the highest in the Jeolla region (0.499), followed by the Gangwon region (0.475) and the Gyeongsang region (0.471), and the metropolitan region (0.158) was confirmed to be the most stable. This suggests that the gap in insufficient funding has gradually widened by region over the past 10 years, and that the shock wave becomes more pronounced in the provinces farther away from the metropolitan area. Based on this study, if we deviate from the standardized application of university development policies for the metropolitan area and regional universities, and present a customized higher education strategy for each region, it will be an opportunity to prevent local extinction due to a decrease in the school-age population and achieve coexistence with higher education institutions and regions at the same time.

Prospects of omics-driven synthetic biology for sustainable agriculture

  • Soyoung Park;Sung-Dug Oh;Vimalraj Mani;Jin A Kim;Kihun Ha;Soo-Kwon Park;Kijong Lee
    • Korean Journal of Agricultural Science
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    • v.49 no.4
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    • pp.801-812
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    • 2022
  • Omics-driven synthetic biology is a multidisciplinary research field that creates new artificial life by employing genetic components, biological devices, and engineering technique based on genetic knowledge and technological expertise. It is also utilized to make valuable biomaterials with limited production via current organisms faster, more efficient, and in huge quantities. As the bioeconomic age begins, and the global synthetic biology market becomes more competitive, investment in research and development (R&D) and associated sectors has grown considerably. By overcoming the constraints of present biotechnologies through the merging of big data and artificial intelligence technologies, huge ripple effects are envisaged in the pharmaceutical, chemical, and energy industries. In agriculture, synthetic biology is being used to solve current agricultural problems and develop sustainable agricultural systems by increasing crop productivity, implementing low-carbon agriculture, and developing plant-based, high-value-added bio-materials such as vaccines for diagnosing and preventing livestock diseases. As international regulatory debates on synthetic biology are now underway, discussions should also take place in our country for the growth of bioindustries and the dissemination of research findings. Furthermore, the system must be improved to facilitate practical application and to enhance the risk evaluation technology and management system.