• Korean journal of communication and information
• /
• v.52
• /
• pp.27-47
• /
• 2010

This study analyzes the latest statistics for 3 years based on the traits of market environment, internal organization characteristics(the size and distribution of workforce), and financial structure, and then, investigates the interactivity traits and drawbacks between organization and market environment, among the local broadcast stations, and, among the type of work in the internal organization, by interviewing with broadcasters working at the local stations. Major findings of this studies are : at first, statistically, the conditions of local market environment, the size of local station workforce, financial structure are very poor. And, the interactivity among the local broadcast stations have so many difficulties because of a conflict of interest. So, for getting over a difficult situation at the local stations, in addition to planning to support local stations with various policies, government and local stations should seek for solution to overcome the conflict of interest jointly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2003.05a
• /
• pp.808-812
• /
• 2003

The technology and concept of multimedia expands with the rapid growth of Digital technology. Digital broadcasting has already begun and movie industry is also switching the way of visualization from analog to digital. Image compositing is the core of the computer graphics related multimedia technology. Currently, various computer graphic technologies are being developed. Nevertheless, image compositing are being done manually because of not only the expensiveness image compositing equipments, but also the lack of experts in this area. This paper present a new image compositing technique for 3-Dimensional graphics and digital sources. A 2-Dimensional subject which will be used as a background was expanded into a 3-Dimensional by using the tracking technique. Thereafter, Effective image compositing has been obtained by precisely cooperating digital source images and 3-Dimensional model using 3-Dimensional graphics editing tool.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.6
• /
• pp.47-55
• /
• 2019

The robot is the creation of new markets and various cooperation according to the manufacturing paradigm shift. Cooperative management easy for existing industrial robots, robots work on productivity, manpower to replace the robot in every industry cooperation for the purpose of and demand increases.to exist But the industrial robot at the scene of the cooperation working due to accidents are frequent, threatening the safety of the operator. Of industrial site is configured with a robot in an environment ensuring the safety of the operator to and confidence to communicate that can do the possibility of action.Robot guard system of the need for development cooperation. The robot's cooperation through the sensors and computer vision task within a radius of the double to prevent accidents and accidents should reduce the risk. International protocol for a variety of industrial production equipment and communications opc ua system based on ultrasonic sensors and cnn to (Convolution Neural Network) for video analytics. We suggest the cooperation with the robot guard system. Robots in a proposed system is unsafe situation of workers evaluating the possibility of control.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.2
• /
• pp.245-254
• /
• 2015

The purpose of this research is to study the cyclic structure of startup ecosystem and draw the necessary conditions for maintaining it to successfully induce the activation entrepreneurship. Therefore, we design start-up cycle structure based on the enterprise ecosystem to verify this, we discussed the Tech City in the United Kingdom and Silicon Valley in USA. Required factors for running the start-up cycle structure is summarized as follows. First, the shared platform is provided to form between components in accordance with the object, second, this can be made based on the excellent human resources, third, a number of consumer groups such as venture capitals and angels that revenue from the virtuous circle should be formed, fourth, get the other regional networks and associated, fifth to make it easy to start-ups through government and institutional support and finally, a stand-alone producers(startups) should be fostering entrepreneurship.

• Journal of Broadcast Engineering
• /
• v.25 no.1
• /
• pp.13-24
• /
• 2020

There are about nine million power line poles and 1.3 million kilometers of the power line for electric power distribution in Korea. Maintenance of such a large number of electric power facilities requires a lot of manpower and time. Recently, various fault diagnosis techniques using artificial intelligence have been studied. Therefore, in this paper, proposes a power line deflection detect system using artificial intelligence and computer vision technology in images taken by vision system. The proposed system proceeds as follows. (i) Detection of transmission tower using object detection system (ii) Histogram equalization technique to solve the degradation in image quality problem of video data (iii) In general, since the distance between two transmission towers is long, a panoramic video stitching process is performed to grasp the entire power line (iv) Detecting deflection using computer vision technology after applying power line detection algorithm This paper explain and experiment about each process.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.6
• /
• pp.1-9
• /
• 2018

In the fourth industrial revolution, which has become an issue now, we have been able to receive instant analysis results faster than the existing slow speed through various Big Data technologies, and to conduct real-time monitoring on mobile and web. First, various irregular sensor Data is generated using IoT device, Raspberry Pi. Sensor Data is collected in real time, and the collected data is distributed and stored using several nodes. Then, the stored Sensor Data is processed and refined. Visualize and output the analysis result after analysis. By using these methods, we can train the human resources required for Big Data and mobile related fields using IoT, and process data efficiently and quickly. We also provide information that can confirm the reliability of research results through real time monitoring.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.5
• /
• pp.135-141
• /
• 2019

South Korea's smart factory drive is at a very important point. While large-scale funds and manpower are invested to secure international competitiveness and revitalize manufacturing, software investments that are only approached by IT suppliers may end up creating systems that do not meet the actual conditions of the field. As a result, there are problems in the manufacturing sector that can cause consumers to feel the fatigue of innovation in the manufacturing sector. SMEs should check from scratch and establish a gradual integration system so that they can reduce failures in IT investments and implement OT-oriented smart factories that are well utilized in the field. To this end, a process visualization solution was proposed and a step-by-step innovation was proposed at the basic level and the ICT unapplied level.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.4
• /
• pp.165-170
• /
• 2022

By reducing time spent outside, a shopping system was developed for middle-aged and elderly people who mainly use neighborhood marts and neighborhood mart managers. The main functions of this app are direct shopping and online shopping, and it was developed using QR code using Zxing library on Android and Kakao Map using Kakao API. In addition, it provides information such as payment statistics and bulletin board posts that members need through recycler view and graphs in an easy-to-read manner. Through this system, members can efficiently manage by reducing fatigue when using the mart through direct purchase using QR code and delivery through map, and reducing manpower wastage as a mart manager. Also, as a mart manager, more consumers will be able to sell more items.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.2
• /
• pp.15-20
• /
• 2023

Recently, digitalization is accelerating in all industries, and the use of information and personal information produced and used in the process of it is very important for the success or failure of a company. However, malicious attempts to steal or leak major information and personal information of a company as an adverse effect continue to increase, and appropriate defense and response are absolutely necessary. However, in the case of small and medium-sized enterprises, the priority of information protection and the possession of professional manpower are very insufficient compared to large enterprises. This paper studies the certification and audit implemented in Korea, and suggests ways to expand the certification of the information protection system suitable for SMEs and improve the effectiveness of the support system through the expansion of the privacy law notification standard and operation of support system.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.6
• /
• pp.51-56
• /
• 2022

With the development of industrialization, the amount of food and waste is rapidly increasing. Accordingly, the government is aware of the seriousness and is making efforts in various ways to reduce it. As a part of that, the volume-based food system was introduced, and although there were several trials and errors at the beginning of the introduction, it shows a reduction effect of 20 to 30%. These results suggest that the volume-based food system is being established. However, the waste is caused by foreign substances in the process of recycling resources by collecting them from the 1st collection to the 2nd collection process. Therefore, in this study, to solve these problems fundamentally, artificial intelligence is applied to classify foreign substances and improve them. Due to the nature of food waste, there is a limit to obtaining many images, so we compare several models based on CNNs and classify them as abnormal data, that is, CNN-based models are trained on various types of foreign substances, and then models with high accuracy are selected. We intend to prepare improvement measures for maintenance, such as manpower input to protect equipment and classify foreign substances by applying it.