• Agribusiness and Information Management
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• v.10 no.2
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• pp.1-7
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• 2018

In the present day context of changing information needs of the farmers and diversified production systems there is an urgent need to look for the effective extension support system for the small and marginal farmers in the developing countries like India. The rapid developments in the collection and analysis of field data by using the spatial technologies like GPS&GIS were made available for the extension functionaries and clientele for the diversified information needs. This article describes the GIS and GPS based decision support system in precision agriculture for the resource poor farmers. Precision farming techniques are employed to increase yield, reduce production costs, and minimize negative impacts to the environment. The parameters those can affect the crop yields, anomalous factors and variations in management practices can be evaluated through this GPS and GIS based applications. The spatial visualisation capabilities of GIS technology interfaced with a relational database provide an effective method for analysing and displaying the impacts of Extension education and outreach projects for small and marginal farmers in precision agriculture. This approach mainly benefits from the emergence and convergence of several technologies, including the Global Positioning System (GPS), geographic information system (GIS), miniaturised computer components, automatic control, in-field and remote sensing, mobile computing, advanced information processing, and telecommunications. The PPP convergence of person (farmer), project (the operational field) and pixel (the digital images related to the field and the crop grown in the field) will better be addressed by this decision support model. So the convergence and emergence of such information will further pave the way for categorisation and grouping of the production systems for the better extension delivery. In a big country like India where the farmers and holdings are many in number and diversified categorically such grouping is inevitable and also economical. With this premise an attempt has been made to develop a precision farming model suitable for the developing countries like India.

• Journal of Climate Change Research
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• v.5 no.1
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• pp.37-46
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• 2014

The purpose of this study is to analyze the determinants affecting Korean farmers' perception to climate change using multinomial logit and ordered logit model. The major findings of this study are summarized as follows. First, the results indicate that 85.7 percent of farmers have perceived climate change and 85.8 percent of farmers have anticipated that the impact of climate change on agriculture within 10 years. Second, the results show that farming experience, successor to farming, use of computer have a significant impact on expectation to climate change. Finally, the findings also indicate that sex, age, and education have a significant impact on expectation of the mean temperature to climate change.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.5
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• pp.604-612
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• 2019

PKI Internet banking is used to have users register their public keys with the banking server together with the identity information, and verify the signature for both user and transaction authentications by using the registered public keys. Although the Blockchain-based financial systems such as Bitcoin adopt similar digital signature-based authentication scheme, there is no server that participants can register public keys with because they perform P2P payment transactions. The purpose of this paper is to identify the advantages and disadvantages of the Blockchain-based payment transactions by analyzing the differences between the most common PKI Internet banking and Blockchain payment systems. Based on the analysis, this paper suggests the issues that need to be enhanced from the aspects of architecture and security in order for Blockchain payment transaction systems to be applied universally.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.259-264
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• 2019

This paper proposes an image prediction system architecture for deep running in enterprise environment. Easily transform into an artificial intelligence platform for an enterprise environment, and allow sufficient deep-running services to be developed and modified even in Java-centric architectures to improve the shortcomings of Java-centric enterprise development because artificial intelligence platforms are concentrated in the pipeline. In addition, based on the proposed environment, we propose a more accurate prediction system in the deep running architecture environment that has been previously learned through image forecasting experiments. Experiments show 95.23% accuracy in the image example provided for deep running to be performed, and the proposed model shows 96.54% accuracy compared to other similar models.

• Journal of Apiculture
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• v.32 no.3
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• pp.191-198
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• 2017

Vespa hornets are notorious predators of honeybees in Korean beekeeping. Detection of vespa hornet attacking on honeybee colony was tried through analysis of wing beat frequency profiling from Vespa mandarinia. Wing beat profiles of V. mandarinia during active flight and resting were distinctively different. From the wing beat profiling, algorithm of automated detection of vespa attack was encoded, and alert system was developed using Teensy 3.2 and Raspberry pi 3. From the laboratory testing, the prototype system successfully detected vespa wing beats and delivered the vespa attack information to the user wirelessly. Further development of the system could help precision alert system of the vespa attack to apiary.

• Journal of the Health Care and Life Science
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• v.8 no.2
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• pp.121-125
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• 2020

People counting has always been a method of interest for maximizing energy saving by identifying the congestion level or amount of use of a specific facility to efficiently manage the facility, or automatically implementing a power saving function by identifying the number of people entering and exiting a specific place such as a toilet. The method of counting people by image processing is very expensive and has the disadvantage of being severely affected by the surrounding environment of the lighting. In the case of the area sensor, there is a disadvantage of counting as one person when the number of people passes close with arms folded. In order to solve the existing method, which is expensive, affected by lighting, or inaccurate the number of people in certain cases, this paper proposes a new method of counting people using the principle of LiADAR. Accurate counting of the number of people entering the hospital will help manage hospital facilities, but it will also help to establish effective quarantine measures at the present time when Corona 19 is prevalent.

• The Journal of Korean Institute of Information Technology
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• v.17 no.12
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• pp.125-134
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• 2019

As the limitations of the passive recognition domain, which is not guaranteed transparency of the operation process, AI technology has a vulnerability that depends on the data. Human error is inherent because raw data for artificial intelligence learning must be processed and inspected manually to secure data quality for the advancement of AI learning. In this study, we examine the necessity of learning data management before machine learning by analyzing inaccurate cases of AI learning data and cyber security attack method through the approach from cyber security perspective. In order to verify the learning data integrity, this paper presents the direction of data-preserving artificial intelligence system, a blockchain-based learning data environment model. The proposed method is expected to prevent the threats such as cyber attack and data corruption in providing and using data in the open network for data processing and raw data collection.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.29-34
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• 2021

In this paper, a cylindrical photonic crystal waveguide with a low-index core is first proposed. The core can be filled with air, liquid, or arbitrary dielectric materials. Exact analyses for the electromagnetic field characteristics of guided modes, by using appropriate Bessel functions and applying the boundary conditions, are performed to find out the guiding characteristics of the proposed waveguide. For verification and usage in design and manufacturing process, the computer-calculation of the waveguide transmission characteristics is also performed by applying the rigorous full-vectorial finite difference method. Providing variations of the effective area for the fundamental mode of the designed waveguide with different numbers of cladding layers, ranging from 2.6056 ㎛2 to 5.9673 ㎛2 over the operation wavelength, generally as the core refractive index n1 is higher, the mode area becomes smaller and the result leads to more optimistic effect for nonlinear device applications.

• The Journal of Korean Physical Therapy
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• v.34 no.5
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• pp.198-204
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• 2022

Purpose: This paper sought to classify, analyze, and investigate domestic research papers on the physical rehabilitation of children with cerebral palsy, and to suggest a direction for rehabilitation after the coronavirus disease 2019 (COVID-19) pandemic. Methods: A literature search was conducted from June 1 to June 30, 2022, and only papers published in domestic journals during the past 10 years were searched. The main search term was "rehabilitation for children with cerebral palsy", and "rehabilitation" such as "exercise rehabilitation," "equestrian rehabilitation", and "aquatic rehabilitation" were reviewed when they appeared in the titles and abstracts. A total of 18 books were selected according to the exclusion criteria. Results: Rehabilitation by area was divided into exercise rehabilitation, Bobath rehabilitation, equestrian rehabilitation, and aquatic rehabilitation. Analysis was undertaken based on the period of rehabilitation, area wise from 2012 to 2017, except for aquatic rehabilitation, which was studied once in 2020. The intervention effects of exercise rehabilitation were summarized as PICO (Participants, Intervention, Comparison, Outcome), and most of the studies showed improvements in the subject's physical functions. Conclusion: Research on the physical rehabilitation of children with cerebral palsy is being conducted in multiple directions and through several methods. In addition to the Bobath and Vojta approaches, equestrian rehabilitation, aquatic rehabilitation using the buoyancy of water, and computer rehabilitation are conducted. For the physical rehabilitation of children with cerebral palsy in the context of COVID-19, programs that are linked with families and those that incorporate Information Communications Technology (ICT) could be developed.

• Journal of Advanced Technology Convergence
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• v.1 no.2
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• pp.01-09
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• 2022

Recently, safety issues in companies and public institutions are no longer a task that can be postponed, and when a major safety accident occurs, not only direct financial loss, but also indirect loss of social trust in the company and public institution is greatly increased. In particular, in the case of a fatal accident, the damage is even more serious. Accordingly, as companies and public institutions expand their investments in industrial safety education and prevention, open AI learning model creation technology that enables safety management services without being affected by user behavior in industrial sites where high-risk situations exist, edge terminals System development using inter-AI collaboration technology, cloud-edge terminal linkage technology, multi-modal risk situation determination technology, and AI model learning support technology is underway. In particular, with the development and spread of artificial intelligence technology, research to apply the technology to safety issues is becoming active. Therefore, in this paper, an open cloud platform design method that can support AI model learning for high-risk site safety management is presented.