• 한국문헌정보학회지
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• 제40권3호
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• pp.233-262
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• 2006

본 연구는 국제기구 지식정보원과 국내 도서관들의 국제기구 정보원의 입수 및 활용 현황을 분석하였다. 본 연구에서는 유엔 산하 국제기구 및 전문기구 59개, 다자간 국제기구 29개, 지역기구 27개 등 총 115개 기구를 선정한 후 이 기구들의 정보정책과 정보원을 조사하였다 그리고 국내 4년제 대학의 대학도서관 국가도서관. 그리고 일정 규모 이상의 전문도서관을 대상으로 국내 국제기구 정보원의 활용 현황을 조사하였다. 설문을 통해 국제기구 정보원의 소장현황과 기탁도서관 지정여부. 소장하고 있는 국제기구 출판물의 주제분야, 자료관리 및 이용현황, 그리고 국제기구 정보원에 대한 수요도 및 요구도를 분석하였으며, 분석된 결과는 향후 국가 차원의 공식적인 국제기구 정보유통기관의 기초 자료로 활용될 수 있을 것이다.

• International Journal of Computer Science & Network Security
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• 제22권8호
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• pp.328-342
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• 2022

The Internet of Things (IoT) is a technology that offers lucrative services in various industries to facilitate human communities. Important information on people and their surroundings has been gathered to ensure the availability of these services. This data is vulnerable to cybersecurity since it is sent over the internet and kept in third-party databases. Implementation of data encryption is an integral approach for IoT device designers to protect IoT data. For a variety of reasons, IoT device designers have been unable to discover appropriate encryption to use. The static support provided by research and concerned organizations to assist designers in picking appropriate encryption costs a significant amount of time and effort. IoTES is a web app that uses machine language to address a lack of support from researchers and organizations, as ML has been shown to improve data-driven human decision-making. IoTES still has some weaknesses, which are highlighted in this research. To improve the support, these shortcomings must be addressed. This study proposes the "IoTES with Security" model by adding support for the security level provided by the encryption algorithm to the traditional IoTES model. We evaluated our technique for encryption algorithms with available security levels and compared the accuracy of our model with traditional IoTES. Our model improves IoTES by helping users make security-oriented decisions while choosing the appropriate algorithm for their IoT data.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.75-83
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• 2018

Predictive IoT Sensor Algorithm is a technique of data science that helps computers learn from existing data to predict future behaviors, outcomes, and trends. This algorithm is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. Sensors and computers collect and analyze data. Using the time series prediction algorithm helps to predict future temperature. The application of this IoT in industrial environments like power plants and factories will allow organizations to process much larger data sets much faster and precisely. This rich source of sensor data can be networked, gathered and analyzed by super smart software which will help to detect problems, work more productively. Using predictive IoT technology - sensors and real-time monitoring - can help organizations exactly where and when equipment needs to be adjusted, replaced or how to act in a given situation.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.155-157
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• 2024

Internet of Things (IoT) integrated with the Blockchain is the state of the art for keen cultivation and agriculture. Recently the interest in agribusiness information is enlarging owing to the fact of commercializing the smart farming technology. Agribusiness information are known to be untidy, and experts are worried about the legitimacy of information. The blockchain can be a potential answer for the expert's concern on the uncertainty of the agriculture data. This paper proposes an Agri-Banana plant system using Blockchain integrated with IoT. The system is designed by employing IoT sensors incorporated with Hyperledger fabric network, aims to provide farmers with secure storage for preserving the large amounts of IoT and agriculture data that cannot be tampered with. A banana smart contract is implemented between farmer peer and buyer peer of two different organizations under the Hyperledger fabric network setup aids in secure transaction of transferring banana from farmer to buyer.

• Journal of Information Technology Applications and Management
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• 제29권5호
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• pp.27-37
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• 2022

This study intends to link agricultural machine history data with related organizations or collect them through IoT sensors, receive input from agricultural machine users and managers, and analyze them through AI algorithms. Through this, the goal is to track and manage the history data throughout all stages of production, purchase, operation, and disposal of agricultural machinery. First, LSTM (Long Short-Term Memory) is used to estimate oil consumption and recommend maintenance from historical data of agricultural machines such as tractors and combines, and C-LSTM (Convolution Long Short-Term Memory) is used to diagnose and determine failures. Memory) to build a deep learning algorithm. Second, in order to collect historical data of agricultural machinery, IoT sensors including GPS module, gyro sensor, acceleration sensor, and temperature and humidity sensor are attached to agricultural machinery to automatically collect data. Third, event-type data such as agricultural machine production, purchase, and disposal are automatically collected from related organizations to design an interface that can integrate the entire life cycle history data and collect data through this.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.59-65
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• 2021

In this paper, we propose the AI certification standardization activities for systematic research and planning for the standardization of trustworthy artificial intelligence (AI). The activities will be in two-fold. In the stage 1, we investigate the scope and possibility of standardization through AI reliability technology research targeting international standards organizations. And we establish the AI reliability technology standard and AI reliability verification for the feasibility of the AI reliability technology/certification standards. In the stage 2, based on the standard technical specifications established in the previous stage, we establish AI reliability certification program for verification of products, systems and services. Along with the establishment of the AI reliability certification system, a global InterOp (Interoperability test) event, an AI reliability certification international standard meetings and seminars are to be held for the spread of AI reliability certification. Finally, TAIPP (Trustworthy AI Partnership Project) will be established through the participation of relevant standards organizations and industries to overall maintain and develop standards and certification programs to ensure the governance of AI reliability certification standards.

• International Journal of Advanced Culture Technology
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• 제9권4호
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• pp.315-319
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• 2021

Recent impact of 4th industrial revolution is increasing usage of IoT technology along with smartphones and tablet PC. However blue light emitted from electronic devices such as smartphones and tablet PC causes detrimental change to human bodies. As the controversy over the harmfulness of blue light became known through the media and various communities, related markets were formed, and various blocking films, software, and vision protection monitors were released. In this paper focuses on utilizing IoT technology to protect human organizations from blue light. It presents anti-blue light system which prevents excessive exposure to blue light through Arduino module such as ultrasound, piezo buzzer and blue light measurement module.

• 국제지역연구
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• 제22권1호
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• pp.3-21
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• 2018

냉전시대부터 존재해 온 국제 협정과 기구는 이와 비슷한 목표와 역할을 가지고 탈냉전시대에 탄생한 수많은 새로운 국제 협정과 기구들로부터 어떠한 영향을 받는가? 이 질문에 대해 일부 학자들은 부정적 영향을 받을 수 있다고 주장하고 있다. 이 연구는 냉전시대에 기원을 두고 있는 국제기구 중 하나인 WTO의 경우에는 어떠한지를 검토하는데 그 목표가 있다. 즉 WTO의 분쟁해결절차의 이용 혹은 제소 건수가 이 기구의 회원국들이 참여한 다자적, 혹은 양자적 FTA의 경험과 국제기구 경험으로부터 긍정적 영향을 받는지, 혹은 부정적 영향을 받는지를 분석하고 있다. 이 분석은, 일부 학자들의 주장과는 달리, WTO가 출범한 1995년부터 2016년까지 모든 회원국들을 분석 대상으로 할 때 그들의 FTA 경험이 WTO 제소 건수를 증가시키는 경향이 있고, 또 유럽연합의 개별 회원국들을 제외한 모든 WTO 회원국들을 분석대상으로 할 때 그들의 국제기구 경험도 WTO 제소 건수를 증가시키는 경향이 있다는 결과를 나타내고 있다.

• 사물인터넷융복합논문지
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• 제6권3호
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• pp.45-52
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• 2020

본 논문에서는 농작물 수확량에 영향을 미치는 다양한 농업 매개 변수를 측정하고, 환경 정보를 모니터링 하는 시스템을 제안한다. 국제 기구의 분석에 따르면 전 세계 인구의 60%가 농업으로 생활을 유지하고 있다. 또한, 전 세계토양의 11%가 작물 재배에 이용되고 있다. 이런 이유로 농업은 국가 발전에 중요한 역할을 담당하고 있다. 날씨 또는 환경 문제 등으로 인해 농업에 문제가 발생하면 국가 발전에 문제가 될 수 있다. 이러한 문제를 해결하기 위해서 IoT 기술을 활용하여 농업의 현대화를 하는 것이 중요하다. 농업에서 IoT 기술을 적용하여 스마트 환경을 구축하여 농업환경을 개선할 수 있다. 논문에서 제안하는 시스템을 검증하기 위해서 콩 재배농장에서 실험을 수행하였다. 실험결과 제안하는 시스템을 이용하여 콩 재배 토양의 수분을 자동으로 40%로 유지할 수 있음을 보였다.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.235-245
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• 2023

Smart applications based on the Network of Everything also known as Internet of Everything (IoE) are increasing popularity as network connectivity requires rise further. As a result, there will be a greater need for developing 6G technologies for wireless communications in order to overcome the primary limitations of visible 5G networks. Furthermore, implementing neural networks into 6G will bring remedies for the most complex optimizing networks challenges. Future 6G mobile phone networks must handle huge applications that require data and an increasing amount of users. With a ten-year time skyline from thought to the real world, it is presently time for pondering what 6th era (6G) remote correspondence will be just before 5G application. In this article, we talk about 6G dreams to clear the street for the headway of 6G and then some. We start with the conversation of imaginative 5G organizations and afterward underline the need of exploring 6G. Treating proceeding and impending remote organization improvement in a serious way, we expect 6G to contain three critical components: cell phones super broadband, very The Web of Things (or IoT and falsely clever (artificial intelligence). The 6G project is currently in its early phases, and people everywhere must envision and come up with its conceptualization, realization, implementation, and use cases. To that aim, this article presents an environment for Presented Distributed Artificial Intelligence as-a-Services (DAIaaS) supplying in IoE and 6G applications. The case histories and the DAIaaS architecture have been evaluated in terms of from end to end latency and bandwidth consumption, use of energy, and cost savings, with suggestion to improve efficiency.