• The Korean Journal of Air & Space Law and Policy
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• v.30 no.2
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• pp.373-401
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• 2015

The UAV(Unmanned Aerial Vehicle, Drone) technology has been undergoing rapid progress, accompanied with a growth in the market. However, domestic industry standards and technology lag behind such progress happening on the international scene, and in particular in developed countries. Related regulations are also deemed lacking to address the issues that arise with such developments. Meanwhile, as the rise of UAV technology is a fairly recent phenomenon, the gap between Korea and developed countries is not too big. As this technology has high relevance to information and communication technologies, it also offers ample leeway for Korea to catch up in the field of UAV. As such, this paper seeks to provide a survey of the overall technology, market and regulations concerning UAV to identify possible measures on how to address any issues that may arise through proper policies. Due to the progress made in the field of UAV technology and increased penetration rate, striking a right balance between putting in place a proper regulatory system and establishing policies that foster growth in the field has risen as a very important issue. While the importance of establishing a legal system that helps prevent possible risks is indeed important, it must also be acknowledged that excessive regulation can also hinder technological progress. This, in turn would stagnate the market and dampen the entrepreneurial spirit in the society. In the case of new, practical technologies such as UAV, a prompt establishment of regulatory systems and policy measures in terms of policies is a requisite. In brief, in order to promote progress in the UAV industry and at the same time, for public safety and the protection of privacy, there should be an appropriate level on the easing and tightening of the regulation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.5
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• pp.167-172
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• 2014

Recently interest in energy is becoming increasingly amplified in the world. Green energy is the buzzword of the world's business community as well as governments also leave a green energy seonbongjang of economic recovery. According to the International Institute for Energy, it will be expected to invest in the field of green energy about 7 trillion dollar traslated into 7,000 trillian won around the world by 2030. Thus production, supply, reduce and reuse policies and techniques for green energy came pouring out like a flood. But there is a limit to the fuel supply in order to produce a power generation facility and the power supply that is essential. Reducing produced power efficiently is more important than the increasing of power production. At present, using a method that controls the equipment installed by measuring the environment for efficient control of the energy management of energy-consuming devices that are in use. But the reality is that many policies of national and corporate to did not work to solve a part of the energy savings. In this paper, I proposes a smart energy management system to control the equipment by using the accumulated data obtained with minimal changes in the environment using the energy.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.181-186
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• 2018

With progress in industrialization, facilities for generating, delivering, and receiving high levels of electric power are in great demand. The scale of electric power equipment is increasing in both size and complexity. This has contributed to the development of our modern, high-tech and information-based society. However, if the generation of electric power is suspended due to unexpected accidents at power facilities or power stations, a range of equipment the operations of which are dependent on electric power can be damaged, causing substantial socioeconomic losses in an industrial society. A great deal of time and money would be expended to repair damaged facilities at a power station, causing enormous economic loss. In order to detect the deterioration processes of power cables, and to prevent the destruction of power cables, the operation status of power cables should be monitored on a regular basis. We studied the method in order to improve accuracy and reliability for diagnosising the junction where accident occurs frequently. We present the method of data acquisition and statistical processing.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.165-170
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• 2022

The amount of data generated by recent developments in Big data and related technologies has been rapidly increasing, and the need to predict changes in future societies and present technologies to be realized has been continuously raised to lay the foundation for national scientific and technological planning. The existing methods of predicting future technologies have their respective advantages, but problems also exist. Thus, this paper newly establishes and applies the methodology to be used for predicting future technologies specialized in information security fields beyond the existing comprehensive prediction, and draws out innovative technologies that are expected to have high ripple effects in the future, and analyzes the technological diffusion points of each technology to predict future technological changes in the information security sector. It is expected that this will ensure reliability and objectivity of the forecast survey results and allow more sophisticated and multilayered predictions than the overall scientific and technological forecast surveys.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.942-948
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• 2020

In this paper, we propose a clustered algorithm that possible more efficient user distinction within clustering using context-aware attribute information. In typically, the data provided to classify interrelationships within cluster information in the process of clustering data will be as a degrade factor if new or newly processing information is treated as contaminated information in comparative information. In this paper, we have developed a clustering algorithm that can extract user's recognition information to solve this problem in using K-means algorithm. The proposed algorithm analyzes the user's clustering attributed parameters from user clusters using accumulated information and clustering according to their attributes. The results of the simulation with the proposed algorithm showed that the user management system was more adaptable in terms of classifying and maintaining multiple users in clusters.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.746-754
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• 2016

Smart healthcare systems, a convergent industry based on information and communications technologies (ICT), has emerged from personal health management to remote medical treatment as a distinguished industry. The smart healthcare environment provides technology to deliver vital information, such as pulse rate, body temperature, health status, and so on, from wearable devices to the hospital network where the physician is located. However, since it deals with the patient's personal medical information, there is a security issue for personal information management, and the system may be vulnerable to cyber-attacks in wireless networks. Therefore, this study focuses on a key-development and device-management system to generate keys in the smart environment to safely manage devices. The protocol is designed to provide safe communications with the generated key and to manage the devices, as well as the generated key. The security level is analyzed against attack methods that may occur in a healthcare environment, and it was compared with existing key methods and coding capabilities. In the performance evaluation, we analyze the security against attacks occurring in a smart healthcare environment, and the security and efficiency of the existing key encryption method, and we confirmed an improvement of about 15%, compared to the existing cipher systems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1696-1707
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• 2021

With the recent growth of information technology, various literacy such as digital literacy, data literacy, AI literacy is being studied. In this paper, we focus on data visualization literacy as visualization is an essential part of big data analysis and is used in several mobile apps. Visualization Literacy Assessment Test(VLAT) was developed in 2016 and we introduce how the test was developed and modified to a Korean version, K-VLAT. K-VLAT is consisted of 12 visualizations and 53 questions through a website. Additionally, to understand the research trend in visualization literacy we analyzed 81 papers that had cited the VLAT publication. We categorized the research into 4 categories with 11 sub-categories. The area of studies visualization literacy related to was understanding the relation with cognition, expanding the literacy measures, relation with education, utilization for developing user-centric dashboards or using the test to show effectiveness of visualizations. At last, we discuss about different ways to utilize K-VLAT for future research.

• Korean Journal of Agricultural Science
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• v.46 no.2
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• pp.381-393
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• 2019

A smart farm is a system that combines information and communication technology (ICT), internet of things (IoT), and agricultural technology that enable a farm to operate with minimal labor and to automatically control of a greenhouse environment. Machine learning based on recently data-driven techniques has emerged with big data technologies and high-performance computing to create opportunities to quantify data intensive processes in agricultural operational environments. This paper presents research on the application of machine learning technology to diagnose the growth status of crops and predicting the harvest time of strawberries in a greenhouse according to image processing techniques. To classify the growth stages of the strawberries, we used object inference and detection with machine learning model based on deep learning neural networks and TensorFlow. The classification accuracy was compared based on the training data volume and training epoch. As a result, it was able to classify with an accuracy of over 90% with 200 training images and 8,000 training steps. The detection and classification of the strawberry maturities could be identified with an accuracy of over 90% at the mature and over mature stages of the strawberries. Concurrently, the experimental results are promising, and they show that this approach can be applied to develop a machine learning model for predicting the strawberry harvesting time and can be used to provide key decision support information to both farmers and policy makers about optimal harvest times and harvest planning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2176-2183
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• 2017

The value of Big-Data which is a main factor of the fourth Industrial Revolution enhances industrial productivity in private sector and provides administrative services for nations and corporates in public sector. ICT-developed countries are coming up with Big-Data application in public sector rapidly. Especially, when it comes to social crisis management, they are equipped with pre-forcasting system. Korean Government also emphasizes Big-Data application in public sector for the social crisis management. But the reality where the overall infrastructure vulnerability reveals requires preparation and operation of measurement for social problems. Accordingly, we need to analyze Big-Data application problem and benchmark the precedented cases, thereby, direct policy diversity. Hence, this paper proposes the roles and rules of E-government analyzing problems from Big-Data application. The following policy proposes open Information and legal&institutional improvement, Big-Data service considerations threatening privacy issues in Big-Data ecosystem, necessity of operational and analytical technology for Big-Data and related technology in technical implication of Big-Data.

• Journal of the Korean Geographical Society
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• v.50 no.3
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• pp.325-338
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• 2015

Telemedicine, which gives or receives medical information via ICT (information and communication technology), is regarded as innovation in a medical field and its application is various according to offline conditions. For example, the utilization of telemedicine in Korea is unfair because of the administrative discretion, which is the basic unit of telemedicine for its practical operation, in spite of the same diagnostic area. With this mind, this study investigates the cause of regional differences of telemedicine through a case of Kangwon province. Furthermore, the crucial matter is that regional differences of telemedicine are associated with digital divide; therefore, this research considers digital divide triggered by telemedicine. The core results are as follows. First, there are little measures such as increase of the staff, economic compensation for public officials, education of telemedicine facilities; accordingly, only regions, where can accept these insufficient conditions, manage the telemedicine system. Second, the interesting of a mayor or a governor and a head of a health center as a highest decision maker has something to do with different utilization of telemedicine. Third, public health doctors play a role as practical operators in telemedicine, but their stance is skeptic about telemedicine somewhat because of the relationship with the medical association opposing the implementation of telemedicine, unimproved regional health care condition, etc. Forth, it seems that the digital divide caused by the regional differences of the present telemedicine utilization does not led to tangible results and is not turned to another disparity so far, the proper measures are required considering that various health care services based on telemedicine will be extended.