• Journal of Korean Society of Rural Planning
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• v.30 no.1
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• pp.81-97
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• 2024

This study examines the effects of adopting Information and Communication Technology (ICT) in livestock farm management on farm sales revenue. Using the 2020 Census of Agriculture, Forestry, and Fisheries, a nationally representative data set constructed by Statistics Korea, this study focuses on a sample of 9,020 livestock farms in South Korea. We employ Propensity Score Matching (PSM) methods to address the potential selection bias between 2,076 farms that used ICT for livestock farm management and 6,944 farms that did not. The findings consistently show that the use of ICT significantly increases farm revenue, taking into account the selection bias. The utilization of ICT in livestock farms leads to a higher increase in sales revenue, particularly for farms with greater sales.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.335-336
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• 2015

미래 유망 디바이스를 X-Device로 규정하고 국내외 미래예측보고서 분석 및 ICT, 뇌 공학, 디바이스 분야의 전문가 인터뷰를 통해, 1세대 X-Device로 마인드 디바이스(Mind Device)를 선정하였다. 마인드 디바이스는 뇌신경 탐지를 통해 인간의 의사를 읽어내고 생각만으로 표현 소통을 가능케 하는 디바이스로 정의된다. 미래 유망 디바이스에 대한 세부 예측 및 향후 기획을 위해, 마인드 디바이스 관련 R&D 진행현황 및 필요성을 살펴보고 예상 적용분야를 정리하였다.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.143-152
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• 2016

In this paper, we attempted to provide the bases of effective educational programs for fostering ICT competencies of gifted students in science. For this purpose, we tried to answer the questions like 'What are the ICT core-competence for gifted students in science?' and 'How can we educate those competencies effectively?' We started by reviewing existing studies on ICT competencies for talented people in future society and then adopted one[6] as the basis for further validation. We tried to work with as many G/T experts as possible, and decided to use the online survey methodology because the experts are scattered all over the country. The survey was sent to the corresponding person who is in charge of G/T education in each area, and then e-mailed to G/T experts in that area. Through these procedures, three hundred four(304) G/T experts from all around the country participated in this survey. The results showed the followings: (1) G/T experts agreed with the importance and necessity of ICT competencies for gifted students in science; (2) G/T experts agreed with the validity of three core ICT competencies, which are 'knowledge and skills competence, creativity competence, and characteristic competence,' for gifted students in science; (3) G/T experts agreed with the validity of educational goals, which are suggested for fostering each ICT core-competence of gifted students in science; and (4) G/T experts regarded 'product-oriented education' and 'ICT device-oriented education' as important and effective types of education programs for fostering ICT competencies of gifted students in science.

• Smart Media Journal
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• v.12 no.3
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• pp.120-128
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• 2023

There are various ICT technologies continuously being developed to reduce damage by industrial accidents. And research is being conducted to minimize damage in case of industrial accidents by utilizing sensors, IoT, big data, machine learning and artificial intelligence. In this paper, we propose a design method for a smart device capable of multilateral communication between devices and smart repeater in the communication shaded Areas such as closed areas of industrial sites, mountains, oceans, and coal mines. The proposed device collects worker's information such as worker location and movement speed, and environmental information such as terrain, wind direction, temperature, and humidity, and secures a safe distance between workers to warn in case of a dangerous situation and is designed to be attached to a helmet. For this, we proposed functional requirements for smart devices and design methods for implementing each requirement using sensors and modules in smart device. And we derived evaluation items for performance evaluation of the smart device and proposed an evaluation environment for performance evaluation in mountainous area.

• Journal of the Korea Organic Resources Recycling Association
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• v.29 no.3
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• pp.5-16
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• 2021

In this study, the applicability of the MBR(Membrane Bio Reactor) process of oxygen dissolve was evaluated through comparison and evaluation of the efficiency of oxygen dissolve device and conventional aeration device in the explosive tank within the MBR process. The organic matter and ammonia oxidation by oxygen dissolve device were evaluated, and the efficiency of persaturation was evaluated by applying real waste water (anaerobic digester effluent treatement from food waste). SCOD and ammonia removal rates for oxygen dissolve device and conventional aeration device methods were similar. However, it was determined that the excess sludge treatment cost could be reduced as the yield of microorganisms by oxygen dissolve device is about 0.03 g MLSS-produced/g SCOD-removed lower than that of microorganisms by conventional aeration device. The removal rates of high concentrations of organic matter (4,000 mg/L) and ammonia (1,400 mg/L) in anaerobic digester effluent treatment from food waste were compared to the conventional aeration device and the oxygen dissolve device organic matter removal rate was approximately 13% higher than that of the conventional aeration device. In addition, for MLSS, the conventional aeration device was 0.3 times higher than for oxygen dissolve device. This is believed to be due to the high progress of sludge autooxidation because the dissolved oxygen is sufficiently maintained and supplied in the explosive tank for oxygen dissolve device. Therefore, it was determined that the use of oxygen dissolve device will be more economical than conventional aeration device as a way to treat wastewater containing high concentrations of organic matter.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.271-272
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• 2016

Owing to the development of information communication technology(ICT), there are many changes taking place in the agriculture sector. As an example, an effective agricultural activities with ICT have brought an increase in agricultural production. On the other hand, these technology investment activities are very costly. Until recently, the technology development has been made in agricultural technology development perspective. This view, however, has been changed to production increase in accordance with the crop growth conditions. In this paper, we propose a device which can maintain an optimal crop growing environment. It is economic by utilizing the existing facility of farmhouse and can reduce the cost of crop growth environment improvement.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.2
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• pp.343-351
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• 2017

With ICT technology develops, IoT environment is attracting attention. However, IoT devices have various CPU performance as much as various purpose of use. Some IoT devices use the cpu that doesn't support public key cryptogrphy or crypto acceleration. In this paper, we study Blockchain-based IoT Device Authentication Scheme that provides authentication, integirity and non-repudation through analysis of Lamport Hash-chain, Lamport Signature, Blockchain and existing Authentication protocols. The proposed scheme requires only simple hash operation in IoT devices and it can operate in low performance IoT device, thus ensuring secure authentication in IoT environment.

• Journal of Korea Game Society
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• v.9 no.4
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• pp.45-56
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• 2009

It is necessary for young children to integrate the sense of sight, hearing, touch, etc. for developing their emotion and cognition. Thanks to Information and Communication Technology (ICT) development, young children have more opportunities to use various senses in learning process. However, ICT learning method is more focusing on the sense of sight and hearing, and lacks of integrated recognition and this fact leads to the reason why ICT can not be used as a main education tool. Therefore, this study evaluated the influence of wUbi-Pen(haptic device) on cognition using a computer puzzle program. The results show that young children using a haptic pen have greater intention and performance in object assembly, mazes, picture completion in K-WPPSI test than those of non-using haptic pen. This implies that haptic function should be considered in ICT material and indeed useful in various cognition-related symptoms and diseases.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.715-724
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• 2017

Today all kinds of smart devices are being developed with various researches on wearable devices that support smart computing on the human body. Skin diseases continue to rise including freckles, pimples, atopy, and scalp trouble due to the environmental and genetic factors, and people pay bigger medical bills to treat their skin diseases. There is thus a need to develop a smart-phone or table-based smart healthcare imaging system of high portability and diagnostic accuracy capable of analyzing and managing various skin problems related to skin care. This study proposed an integrated system combining the Smart Mi Band, a wearable device using moisture and UV sensors based on IoT, on the hardware part with the sensor information monitoring software.

• Journal of Sensor Science and Technology
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• v.32 no.2
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• pp.88-94
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• 2023

Recently, piezoelectric tactile sensors have garnered considerable attention in the field of texture recognition owing to their high sensitivity and high-frequency detection capability. Despite their remarkable potential, improving their mechanical flexibility to attach to complex surfaces remains challenging. In this study, we present a flexible piezoelectric sensor that can be bent to an extremely small radius of up to 2.5 mm and still maintain good electrical performance. The proposed sensor was fabricated by controlling the thickness that induces internal stress under external deformation. The fabricated piezoelectric sensor exhibited a high sensitivity of 9.3 nA/kPa ranging from 0 to 10 kPa and a wide frequency range of up to 1 kHz. To demonstrate real-time texture recognition by rubbing the surface of an object with our sensor, nine sets of fabric plates were prepared to reflect their material properties and surface roughness. To extract features of the objects from the detected sensing data, we converted the analog dataset to short-term Fourier transform images. Subsequently, texture recognition was performed using a convolutional neural network with a classification accuracy of 97%.