• 한국컴퓨터정보학회논문지
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• 제23권2호
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• pp.63-70
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• 2018

Safety management agent manages the risk behavior of the worker with the naked eye, but there is a real difficulty for one the agent to manage all the workers. In this paper, IoT device is attached to a harness safety belt that a worker wears to solve this problem, and behavior data is upload to the cloud in real time. We analyze the upload data through the deep learning and analyze the risk behavior of the worker. When the analysis result is judged to be dangerous behavior, we designed and implemented a system that informs the manager through monitoring application. In order to confirm that the risk behavior analysis through the deep learning is normally performed, the data values of 4 behaviors (walking, running, standing and sitting) were collected from IMU sensor for 60 minutes and learned through Tensorflow, Inception model. In order to verify the accuracy of the proposed system, we conducted inference experiments five times for each of the four behaviors, and confirmed the accuracy of the inference result to be 96.0%.

• 디지털산업정보학회논문지
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• 제17권4호
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• pp.63-75
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• 2021

It is necessary to respond to rapid technological changes such as the 4th industrial revolution and digital transformation across industries. And, a change in the university education system is necessary in a crisis situation of universities due to the rapid decrease of the school-age population. This study is aimed at practical competency with the ability to apply intelligent information technology to their job fields based on a basic understanding of intelligent information technology rather than advanced competency centered on theory and research. Instead of presenting the curriculum system diagram so that it can be flexibly applied to the design and development of the curriculum for intelligent information technology, training modules according to job and level were presented. In relation to intelligent information technology, a questionnaire was conducted for college professors, and industry experts were conducted on the derived educational modules to reflect the opinions of the industry. Industry experts said that collaboration with PBL, Capstone, and industry is necessary to improve problem-solving and communication skills.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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• pp.335-336
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• 2019

5G를 비롯한 무선 네트워크의 발달과 인터넷의 보급이 보편화되어 가고 있다. 또한, 스마트폰 등의 모바일 기기 등이 일상화됨에 따라 방대하고 다양한 유형의 데이터들이 발생되고 있다. 이와 같은 범람하기 시작한 정보와 데이터들을 연결하여 새로운 가치를 창출하는 초지능 연결의 4차 산업혁명 시대가 도래하였다. 이러한 4차 산업혁명은 ICBM(IoT, Cloud, Big data, Mobile) 기술이 발달함에 따라 가능했으며. 그중 빅데이터는 초지능 연결의 근간이 되고 있다. 하지만, 빅데이터에서의 데이터는 다양한 목적에 의해 다양한 유형의 데이터를 모두 포함하고 있음에도 데이터 포맷 및 데이터 셋 등의 불일치에 의해 즉각적인 연결은 불가능하다. 본 논문에서는 스마트 공장을 중심으로 서로 다른 형태의 이기종 데이터를 통합하여 처리할 수 있는 빅데이터 처리 플랫폼을 제안한다.

• 문화기술의 융합
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• 제7권1호
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• pp.615-619
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• 2021

이 연구는 사물인터넷, 클라우드 컴퓨팅 그리고 에지 컴퓨팅 등 많은 임베디드 시스템에서 성능 및 에너지 효율을 높이고자 최적화하는 메모리 시스템에 초점을 맞추어 그 성능 개선 기법을 제안한다. 제안하는 기법은 최근 많이 이용되고 있는 머신 러닝 알고리즘을 기반으로 메모리 시스템 성능을 도모한다. 머신 러닝 기법은 학습을 통하여 다양한 응용에 사용될 수 있는데, 메모리 시스템 성능 개선에서 사용되는 데이터의 분류 태스크에 적용될 수 있다. 정확도 높은 머신 러닝 기법 기반 데이터 분류는 데이터의 사용 패턴에 따라 데이터를 적절하게 배치할 수 있게 하여 전체 시스템 성능 개선을 도모할 수 있게 한다.

• 한국임상약학회지
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• 제30권4호
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• pp.217-225
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• 2020

The fourth industrial revolution, with its characteristics of "hyper-connectivity", "hyper-intelligence" and "automation", is a hot topic worldwide. It will fundamentally change industry, economy, and business models through technological innovations, such as big data, cloud computing, Internet of Things (IoT), artificial intelligence (AI), and 3D printing. In particular, the development of highly advanced information technology (IT) and AI is expected to replace human roles, thereby changing employment and occupation prospects in the future. Based on this, some predict that the profession of the pharmacist will soon disappear. To counter this, pharmacists' attention and efforts are required to seek innovative transformations in their functions by responding sensitively and promptly to changes of the fourth industrial revolution. It is also necessary to recognize the new roles of pharmacists and to develop the competencies to perform them. The fourth industrial revolution is an inevitable change of the times. At this time, we should take comprehensive and open perspectives on how the future society will change economically, culturally, and socially, and use it as an opportunity to shape the new future of pharmacists.

• Journal of Multimedia Information System
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• 제9권1호
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• pp.11-20
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• 2022

In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.333-339
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• 2022

The purpose of the article is to identify priority trends of technological innovations and strategic opportunities for using the smart potential to the benefit of the Russian industrial production development in the context of digital transformation. The article substantiates the demand for technological process automation at industrial enterprises in Russia and considers the possibilities of using artificial intelligence and the implementation of smart manufacturing in the industry. The article reveals the priorities of the leading Russian industrial companies in the field of digitalization, namely, an expansion of the use of cloud technologies, predictive analysis, IaaS services (virtual data storage and processing centers), supervisory control, and data acquisition (SCADA), etc. The authors give the characteristics of the monitoring of the smart manufacturing systems development indicators in the Russian Federation, conducted by Rosstat since 2020; presents projected data on the assessment of the required resources in relation to the instruments of state support for the development of smart manufacturing technologies for the period until 2024. The article determines targets for the development of smart technologies within the framework of the Federal Project "Digital Technologies".

• Asian Journal of Innovation and Policy
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• 제12권1호
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• pp.054-074
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• 2023

With the advent of the '4th Industrial Revolution', digitalization using AI (Artificial Intelligence), big data, IoT (Internet of Things), cloud computing and mobile is accelerating across all industries and global companies have fundamentally reorganized customer experiences, business models, and operations centering on digital transformation. Business innovation drives productivity improvement, process simplification, price, competitiveness and sustainable expansion. Whether digital transformation will be necessary for the current industrial environment is no longer important, and how quickly companies achieve digitalization has emerged as the utmost crucial element in industrial continuity. As non-face-to-face and remote technologies have begun in earnest, and accelerated in the pharmaceutical industry. They are looking for ways to provide value, generate profits, improve efficiency, and sustain the future. Compared to other industries, the pharmaceutical-related sectors have shown high interest in digital transformation especially to reduce costs and meet the challenge of delivering products during the pandemic environment.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.178-180
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• 2021

본 논문에서는 바다 환경의 변화로 인한 양식장의 피해를 막을 수 있도록 양식장의 환경 데이터를 실시간 모니터링하고 기계 학습 기반의 예측 서비스를 제공하는 시스템 설계를 다룬다. 제안 시스템은 양식장의 주요 위치에 수소 농도, 염도, 용존 산소량 그리고 수온을 측정할 수 있는 센서들로 구성되는 사물인터넷 기반의 디바이스 모듈을 설치하며, 이들로 부터 수집한 데이터는 LTE 또는 LoRa 통신 기술을 이용해 클라우드 DB로 전송한 후 웹사이트나 모바일 애플리케이션을 통해 실시간으로 양식장의 환경 데이터 모니터링을 가능하게 한다. 아울러 수집된 데이터를 활용한 기계학습 기반의 예측 기술을 적용해 양식장의 환경 변화에 미리 대비할 수 있도록 하는 기능을 가진다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.339-341
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• 2023

This paper presents a multithread and efficient cryptographic hardware access (MECHA) for efficient and fast cryptographic operations that eliminates the need for context switching. Utilizing a UNIX domain socket, MECHA manages multiple requests from multiple applications simultaneously, resulting in faster processing and improved efficiency. We comprise several key components, including the Server thread, Client thread, Transceiver thread, and a pair of Sender and Receiver queues. MECHA design is portable and can be used with any communication protocol, with experimental results demonstrating a 83% increase in the speed of concurrent cryptographic requests compared to conventional interface design. MECHA architecture has significant potential in the field of secure communication applications ranging from cloud computing to the IoT, offering a faster and more efficient solution for managing multiple cryptographic operation requests concurrently.