• Journal of the Society of Disaster Information
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• v.15 no.1
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• pp.39-48
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• 2019

Purpose: This study aims at developing and implementing Smart Safety Management System based on IoT/ICT Convergence for safety of high-risk groups working at disaster or industrial field. Its functions are as follows. Method: We will develop three devices for keeping the safety of high-risk jobs: Sensor of inactivity, Lora based Refitting technology for communication between high-risk workers, and Lora Gateway for monitoring entire situations. Then we will test three devices in respect of their functions, and propose their applicabilities in the field. Results: The system can send and receive safety tags and danger signals by which sensor technology can detect dangerous state of workers. And its command terminal was developed by low-power wireless communication technology and LoRa Gateway, which can fulfill the lifting functions between safety tags. And, furthermore, the command terminal can monitor dangerous situations of disaster sites in real time and can perform the preemptive rescues. Conclusion: This study proves the functional efficacy of Smart Safety Management System for worker safety in various high-risk occupational groups, and also suggests ways to secure worker safety in disaster area and various high risk industrial sites.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.73-86
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• 2021

The primary purpose of this paper is to explore the advanced models that predict entrepreneurial innovativeness most accurately. For the first time in the field of entrepreneurship research, it presents a model that predicts entrepreneurial innovativeness based on machine learning corresponding to data scientific approaches. It uses 22,099 the Global Entrepreneurship Monitor (GEM) data from 62 countries to build predictive models. Based on the data set consisting of 27 explanatory variables, it builds predictive models that are traditional statistical methods such as multiple regression analysis and machine learning models such as regression tree, random forest, XG boost, and artificial neural networks. Then, it compares the performance of each model. It uses indicators such as root mean square error (RMSE), mean analysis error (MAE) and correlation to evaluate the performance of the model. The analysis of result is that all five machine learning models perform better than traditional methods, while the best predictive performance model was XG boost. In predicting it through XG boost, the variables with high contribution are entrepreneurial opportunities and cross-term variables of market expansion, which indicates that the type of entrepreneur who wants to acquire opportunities in new markets exhibits high innovativeness.

• Science of Emotion and Sensibility
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• v.24 no.2
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• pp.65-74
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• 2021

With recent innovations in the ICT industry, the demand for wearable sensing devices to recognize and respond to biological signals has increased. In this study, a three-dimensional (3D) spacer fabric was embedded in a single-wall carbon nanotube (SWCNT) dispersive solution through a simple penetration process to develop a monolayer piezoresistive pressure sensor. To induce electrical conductivity in the 3D spacer fabric, samples were immersed in the SWCNT dispersive solution and dried. To determine the electrical properties of the impregnated specimen, a universal testing machine and multimeter were used to measure the resistance of the pressure change. Moreover, to examine the changes in the electrical properties of the sensor, its performance was evaluated by varying the concentration, number of penetrations, and thickness of the specimen. Samples that penetrated twice in the SWCNT distributed solution of 0.1 wt% showed the best performance as sensors. The 7-mm thick sensors showed the highest GF, and the 13-mm thick sensors showed the widest operating range. This study confirms the effectiveness of the simple process of fabricating smart textile sensors comprising 3D spacer fabrics and the excellent performance of the sensors.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.11
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• pp.247-249
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• 2020

In the era of the 4th industrial revolution, the demand for convergence between ICT technologies is increasing in various fields. Accordingly, a new term that combines data, network, and artificial intelligence technology, DNA (Data, Network, AI) is in use. and has recently become a hot topic. DNA has various potential technology to be able to develop intelligent application in the real world. Therefore, this paper introduces the reviewed papers on the service image placement mechanism based on the logical fog network, the mobility support scheme based on machine learning for Industrial wireless sensor network, the prediction of the following BCI performance by means of spectral EEG characteristics, the warning classification method based on artificial neural network using topics of source code and natural language processing model for data visualization interaction with chatbot, related on DNA technology.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.271-271
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• 2007

본 내용은 첨단 정보통신 기술을 이용하여 강의자 중심의 단방향 교육(Teaching) 환경을 학생 중심의 양방향 교육(Learning) 환경으로 개선하여 보다 창의적인 인재를 양성할 수 있는 교육환경 구축에 관한 내용이다. 우리나라를 포함한 OECD 국가들은 ICT활용 수업에 대한 필요성을 공감하고 교단 선진화를 위한 연구 및 지원을 다양하게 진행하고 있다. 학생들에게 지급하는 교과서를 인쇄매체 대신에 메모리 스틱, CD-ROM 및 인터넷을 통한 전자 매체로 대체하는 방안 등이 그 예이다. 따라서 학생들이 강의실에서 멀티미디어를 이용해 강의를 듣고, 과제를 풀며 정리된 내용을 발표하고 토론할 수 있는 양방향 수업환경이 요구된다. 그러나 컴퓨터를 활용한 수업을 진행할 때의 문제점이 강의내용을 학생들에게 효율적으로 전달하기가 어렵고, 학생들의 컴퓨터를 통제할 수 없기 때문에 수업을 이탈하는 경우가 발생되는 등 교육에 역효과가 초래된다. 본 내용에서 소개하는 양방향 수업진행 장비(드림랩)는 강의자가 학생들의 컴퓨터 모니터, 키보드 및 마우스를 자유로이 통제할 수 있어서 강의자의 화면과 음성을 실시간으로 선명하게 학생들에게 전달하고, 학생들의 내용을 모니터하고 제어할 수 있으며, 개인지도 및 수준별 그룹지도가 가능하다. 또한 강의자에게 개인적으로 질문을 할 수 있고, 학생들의 내용을 자신의 자리에서 전체 학생들에게 발표할 수도 있다. 드림랩은 순수 하드웨어로 구성되어 컴퓨터 기종이나 운영체제에 영향을 받지 않으며, 컴퓨터 자원과 네트워크 자원을 사용하지 않기 때문에 컴퓨터나 네트워크의 성능을 저하시키지 않는다. 또한 사용법이 간단하고 유지관리가 쉬운 장점 등이 있다. 따라서 컴퓨터를 활용한 수업진행이 원활하여 다양한 과목에 활용 가능하고, 학생들의 자발적인 수업 참여로 강의 중심 교육에서 자기 주도적 수업환경(T2L, Teaching to Learning)으로 자연스럽게 전환되어 교육의 질적 향상과 함께 창의적인 인재를 양성할 수 있을 것으로 기대된다.

• Fashion & Textile Research Journal
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• v.17 no.6
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• pp.1013-1019
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• 2015

As the interest in leisure and health increases, the domestic outdoor wear industry becomes bigger. The waterproofness of fabrics does not ensure the waterproofness of garments because of the stitch holes during the sewing process even with the seam sealing tapes. Thus the water leakage often becomes a problem during the end use. Still companies use fabrics waterproofness data for garments marketing because they are simple to run the test, less expensive than the whole garment testing, and easy to achieve the quality control. In this study the rain tower system for evaluating the waterproofness of garments has been developed and the waterproofness of the selected waterproof and breathable garments in the market were tested. The rain tower was consisted of rain tower room, rainfall forming system and measurement system. Two different levels of rainfall can be simulated with this system(100l/m²/hr and 450l/m²/hr). Jackets in the market have been tested at two different rainfall conditions. The temperature and humidity data inside jackets didn't provide much information on the waterproofness at severe rainfall condition(450l/m²/hr, 1 hour). However, water leakage was detected on the cotton undershirt inside jacket. 5 out of 8 jackets passed the normal rainfall condition(100l/m²/hr, 30 minutes). The newly developed rain tower system was able to evaluate the waterproofness of the jacket seams. It is recommended the further study on the detailed test conditions for the end use of the waterproof and breathable garments.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.9-20
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• 2014

With the change of global awareness of Computing education and introspection about Computer education focused on ICT literacy, efforts are being made to reflect computational thinking in the new curriculum. But if computational thinking would be possible at school, it require tremendous cost to prepare computers for school. In this study, we investigate potentiality and constraints of the one board computer to teach computational thinking in school. We study fundamental performance, application of physical computing and programming education, maintenance of the computers, power consumption of the one board computers which is raspberry pi, beagle bone black, and pcduino3. The result of the study show that one board computer can substitute desktop of the school unless tasks related to require massive data storage and processing. We draw a conclusion that Pcduino3 is well-suited for computational thinking education.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.53-58
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• 2013

Due to the wide spread of the perception of cloud computing, the usage of cloud computing is increasing globally. Cloud computing is able to converge the various industrial domains based on ICT and it is more and more popular because it has a lot of benefits such as cost savings etc. in global economic recession. However, if cloud computing service is to achieve its potential, it is necessary to clearly understand the critical issues such as service security, performance and availability and so on from the perspectives of the providers and the consumers of the cloud service. In addition, customers focus on how to get and use the safe and reliable cloud service. In order to meet these problems, Korea cloud service certification system and Japanese ASP-SaaS-Cloud certification system were performed in each country. This paper aims at comparing and analyzing between them and describing the difference. Eventually, we propose the improvement strategy of Korea cloud service certification system based on the comparison results between them.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.6
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• pp.375-381
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• 2019

Structural health monitoring to determine structural conditions at an early stage and to efficiently manage the energy requirements of buildings using systems that collects relevant data, is under active investigation. Structural monitoring requires cutting-edge technology in which construction, sensing, and ICT technologies are combined. However, the scope of application is limited because expensive sensors and specialized technical skills are often required. In this study, a Raspberry Pi module, one of the most widely used single board computers, a Lora module that is capable of long-distance communication at low power, and a high-performance accelerometer are used to construct a wireless edge computing system that can monitor building response over an extended time period. In addition, the Raspberry Pi module utilizes an edge computing algorithm, and only meaningful data is obtained from the vast amount of acceleration data acquired in real-time. The raw data acquired using Wi-Fi communication are compared to the Laura data to evaluate the accuracy of the data obtained using the system.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.3
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• pp.118-124
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• 2019

Recently, the industrial field has been changed to the smart factory system based on information and communication technology (ICT) in order to improve productivity, quality and customer satisfaction. The most important machine to realize the smart factory is the AGV(automatic guided vehicle) and the adoption of AGV is increasing. Generally, AGV is developed using general purpose PLC(Programmable Logic controller), but the price of AGV is expensive and its volume is large. On the other hand, the industrial field due to space constraints in the workplace is required the low cost AGV which can be minimization, expansion of function, and easily reconfiguration. Therefore, in order to solve these problems, this study is proposed a design method of AGV controller with built-in PLC, and evaluated its performance. In the results of the experimentation, it showed good performance (speed control error = 0.021[m/s], posture control error=2.1[mm]) for the speed and posture control. In this way, when applying the proposed AGV controller in this study to the industrial filed, it is possible to reduce the size and reconfigure at low cost.