• Journal of Intelligence and Information Systems
• /
• v.22 no.4
• /
• pp.87-107
• /
• 2016

Understanding market convergence has became essential for small and mid-size enterprises. Identifying convergence items among heterogeneous markets could lead to product innovation and successful market introduction. Previous researches have two limitations. First, traditional researches focusing on patent databases are suitable for detecting technology convergence, however, they have failed to recognize market demands. Second, most researches concentrate on identifying the relationship between existing products or technology. This study presents a platform to identify the opportunity of market convergence by using product databases from a global B2B marketplace. We also attempt to identify convergence opportunity in different industries by applying Structural Hole theory. This paper shows the mechanisms for market convergence: attributes extraction of products and services using text mining and association analysis among attributes, and network analysis based on structural hole. In order to discover market demand, we analyzed 240,002 e-catalog from January 2013 to July 2016.

• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.8
• /
• pp.571-578
• /
• 2013

The IHO S-100 is a standard on the universal hydorgraphic data model for supporting information services that integrate various data in maritime and provide proper information for safety of vessels. The S-100 is used to develop S-10x product specifications which are standards on guideline for creation and delivery of specific data set in maritime. The product specification for feature-based data such as ENC(Electronic Navigational Chart) data includes a feature catalogue that describes characteristics of features in that feature-based data. The feature catalogue is developed by domain experts with knowledge on data of the target domain. However, it is not feasible to develop a feature catalogue according to the XML schema by manual. In the IHO TSMAD committee meeting, needs of developing technology on building feature catalogue has been discussed. Therefore, we present a feature catalogue builder that is a GUI(Graphic User Interface) system supporting domain experts to build feature catalogues in XML. The feature catalogue builder is developed to connect with the FCD(Feature Concept Dictionary) register in the IHO(International Hydrographic Organization) GI(Geographic Information) registry. Also, it supports domain experts to select proper feature items based on the relationships between register items.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.4
• /
• pp.216-223
• /
• 2017

Chemicals are an indispensable element of modern society to the extent that more than 15 million species are commercially available worldwide. However, among them are chemicals whose toxicityposes a threat to public health and the environment, as illustrated by past cases of chemical accidents, which revealed their danger to human life. Chemical accidents can spread and cause huge damage in a short time because of their characteristics. Therefore, it is important to do as much as possible to prevent them in advance and to respond promptly after an accident. The legal system pertaining to domestic chemical substances is the "Toxic Chemical Control Act", which is made up of the "Act on the Registration and Evaluation of Chemicals" and the "Chemical Control Act" since 2015. Under this law, the Comprehensive Chemical Information System and Chemical Substance Data Processing system were established and are still operating;however, chemical accidents are still occurring. These systems are comprehensive information systems aimed at providing chemical information rather than acting as chemical response systems, which has limited the effectiveness of accident response. This study is intended to analyze the information management systems, response management systems and the basis of chemical substance management support for hazardous chemicals and suggest ways to improve the legal system for developing and operating chemical response systemswithin a municipality.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.14 no.2
• /
• pp.115-121
• /
• 2021

This paper used big data and artificial intelligence technology to predict the rapidly increasing internet traffic. There have been various studies on traffic prediction in the past, but they have not been able to reflect the increasing factors that induce huge Internet traffic such as smartphones and streaming in recent years. In addition, event-like factors such as the release of large-capacity popular games or the provision of new contents by OTT (Over the Top) operators are more difficult to predict in advance. Due to these characteristics, it was impossible for an ISP (Internet Service Provider) to reflect real-time service quality management or traffic forecasts in the network business environment with the existing method. Therefore, in this study, in order to solve this problem, an Internet traffic collection system was constructed that searches, discriminates and collects traffic data in real time, separate from the existing NMS. Through this, the flexibility and elasticity to automatically register the data of the collection target are secured, and real-time network quality monitoring is possible. In addition, a large amount of traffic data collected from the system was analyzed by machine learning (AI) to predict future traffic of OTT operators. Through this, more scientific and systematic prediction was possible, and in addition, it was possible to optimize the interworking between ISP operators and to secure the quality of large-scale OTT services.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.223-233
• /
• 2021

This study is was conducted for 37 first-year students (including 27 males and 10 females) enrolled in the engineering product design class opened as a regular class in the second semester of 2018 at 'A' University in Seoul to examine creative problem solving experiences in class using design_thinking. In this study, creative problem-solving ability was divided into creative personality and problem-solving ability and in the results of examining the difference in pre- and post-creative problem solving abilities through Hotelling's T-square test and t-test, among the creative personality, the tolerance & passion, humor, curiosity, and progressive attitude were found to significantly increase after class. Next, in the results of examining the process of creative problem solving through the reflection journal, in the empathy and prototyping and testing stages of design thinking, more activities for problem solving appeared, and at the stage of problem definition and idea generation, it can be seen that more activities expressing creative personality appear. The results of this study show that creative problem-solving abilities can be improved through design thinking, suggesting that instructional support for effective design thinking should be designed.

• Journal of the Korea Institute of Building Construction
• /
• v.22 no.3
• /
• pp.281-291
• /
• 2022

This study attempts to use big data to determine the indicators necessary for a fire risk assessment of buildings. Because most of the causes affecting the fire risk of buildings are fixed as indicators considering only the building itself, previously only limited and subjective assessment has been performed. Therefore, if various internal and external indicators can be considered using big data, effective measures can be taken to reduce the fire risk of buildings. To collect the data necessary to determine indicators, a query language was first selected, and professional literature was collected in the form of unstructured data using a web crawling technique. To collect the words in the literature, pre-processing was performed such as user dictionary registration, duplicate literature, and stopwords. Then, through a review of previous research, words were classified into four components, and representative keywords related to risk were selected from each component. Risk-related indicators were collected through analysis of related words of representative keywords. By examining the indicators according to their selection criteria, 20 indicators could be determined. This research methodology indicates the applicability of big data analysis for establishing measures to reduce fire risk in buildings, and the determined risk indicators can be used as reference materials for assessment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.141-143
• /
• 2022

This paper presented a new technology to identify traffic violations of motorbike riders by detecting the traffic signal using You Only Look Once (YOLO) object detection. The hardware module that is mounted on the front of the motorbike consists of Raspberry Pi with a camera to run the YOLO object detection, a GPS module to acquire the motorcycle's coordinate, and a LoRa communication module to send the data to a cloud DB. The main goal of the software is to determine whether a motorbike has violated a traffic signal. This paper proposes a function to recognize the red traffic signal colour with its movement inside the camera angle and determine that the traffic signal violation happens if the traffic signal is moving to the right direction (the rider turns left) or moving to the top direction (the riders goes straight). Furthermore, if a motorbike rider is violated the signal, the rider's personal information (name, mobile phone number, etc), the snapshot of the violation situation, rider's location, and date/time will be sent to a cloud DB. The violation information will be delivered to the driver's smartphone as a push notification and the local police station to be used for issuing violation tickets, which is expected to prevent motorbike riders from violating traffic signals.

• 한국노년학
• /
• v.29 no.4
• /
• pp.1577-1589
• /
• 2009

The purpose of this study was to compare the health status, functional status, and home environment hazards by the fear of falling and explore the factors that contribute to the fear of falling. This was a descriptive study. Data were collected for two years with 973 older adults who enrolled in a health center at A city. Trained nurses visited subjects' home and collected data using Resident Assessment Instrument MDS-HC. The average age of the subjects was 76.8 (±7.6) and female was 74.8%. 20.7% of subjects reported fear of falling. In terms of the fear of falling, two groups were compared. There were significant differences in vision, urinary incontinence, pain that interrupts daily activity, unstable gait, comorbidities, frequency of depressive or anxious sign. The greater the age, IADL and ADL dependency, comorbidities, unstabled gait, the more fear of falling. In conclusion, this study reassured the importance of assessing the major factors related to fear of falling such as age, IADL and ADL, comorbities, gait among older adults. This study will contribute to establish strategies for preventing fall. Reducing the fear of falling through the comprehensive nursing intervention will ultimately improve the quality of life in the elderly.

• The KIPS Transactions:PartA
• /
• v.10A no.5
• /
• pp.469-478
• /
• 2003

Internet information search engines using web robots visit servers conneted to the Internet periodically or non-periodically. They extract and classify data collected according to their own method and construct their database, which are the basis of web information search engines. There procedure are repeated very frequently on the Web. Many search engine sites operate this processing strategically to become popular interneet portal sites which provede users ways how to information on the web. Web search engine contacts to thousands of thousands web servers and maintains its existed databases and navigates to get data about newly connected web servers. But these jobs are decided and conducted by search engines. They run web robots to collect data from web servers without knowledge on the states of web servers. Each search engine issues lots of requests and receives responses from web servers. This is one cause to increase internet traffic on the web. If each web server notify web robots about summary on its public documents and then each web robot runs collecting operations using this summary to the corresponding documents on the web servers, the unnecessary internet traffic is eliminated and also the accuracy of data on search engines will become higher. And the processing overhead concerned with web related jobs on web servers and search engines will become lower. In this paper, a monitoring system on the web server is designed and implemented, which monitors states of documents on the web server and summarizes changes of modified documents and sends the summary information to web robots which want to get documents from the web server. And an efficient web robot on the web search engine is also designed and implemented, which uses the notified summary and gets corresponding documents from the web servers and extracts index and updates its databases.

• Korea Science and Art Forum
• /
• v.21
• /
• pp.105-116
• /
• 2015

This study intended to give helps in planning a specialized exhibition by carrying out a survey objecting to KOREA PACK 2015 attendees including visitors who possessed mobile coupons after finishing advance registration through on-line, and then investigating, analyzing satisfactions of attendees together with effects of the specialized exhibition using IT technology. As a lot of relevant preceeding researches have been made by focussing on exhibition organizer and exhibitors, the viewpoints of attendees at the specialized exhibition using IT conversing technology such as mobile and etc. were to be investigated and analyzed. Thus, this research tried to do an empirical identification on effects of the exhibition by analyzing relations between its watching forms and satisfactions including a survey on the on-line PR route utility of IT technology in addition to visiting motives of attendees who watched the exhibition. A summarization of the current study is followed: First, in case of attending in the exhibition for specific purposes, they searched related information positively, and were shown as doing information gathering behaviors and also high possibility on purchases was confirmed. Second, it was confirmed that positive attendees had decision-making on purchases. This finding means that attendees who watch the specialized exhibition have authority and responsibility of being able to purchase in many cases, so methods of improving sales by effectively doing PR on own products and technical competitiveness in the exhibition are necessary to exhibitors. Third, attendees who have specific purposes showed higher satisfactions on the exhibition than general visitors, but satisfactions on consultation, staff attitudes, and facility were turn out to be higher than providing related information on products or technology. Accordingly, the necessity of improving this outcome was confirmed. Therefore, exhibitors have to endeavor in providing more advanced services to attendees of the exhibition by grasping technical trends in advance as well as cultivating professional staff who can promote products well.