• Science of Emotion and Sensibility
• /
• v.20 no.3
• /
• pp.39-48
• /
• 2017

In order to verify the effectiveness of marketing in the basketball stadium, this study measured and analyzed the gaze frequency and interest when the pupil was expanded by using the eye-tracking technology among various neuro marketing techniques of marketing. To analyze the section where the pupil size get expanded, interval of pupil size was higher than 2.275% (2 sigma data) and higher than 0.135% high (3 sigma data). Overall the valid data was analyzed by inflection points according to gaze frequency. We also analyzed the correlation between overall valid data and the ranges where the pupil size was significantly increased. The result showed that the correlation between overall valid data and pupil size 2 sigma data showed the highest correlation with 0.805. The pupil size 2 sigma data and pupil size 3 sigma data showed a correlation with 0.781, overall the valid data and pupil size 2 sigma data showed a correlation with 0.683. Therefore, it is concluded that, the section where the pupil size was expanded and the section at which gaze frequency is higher in the eye-tracking data were similar. However, the correlation between data of pupil size is determined to be significantly expanded and overall the valid data is decreased.

• Advanced Industrial SCIence
• /
• v.1 no.1
• /
• pp.7-15
• /
• 2022

To adopt the development in the medical scenario IoT developed towards the advancement with the processing of a large amount of medical data defined as an Internet of Medical Things (IoMT). The vast range of collected medical data is stored in the cloud in the structured manner to process the collected healthcare data. However, it is difficult to handle the huge volume of the healthcare data so it is necessary to develop an appropriate scheme for the healthcare structured data. In this paper, a machine learning mode for processing the structured heath care data collected from the IoMT is suggested. To process the vast range of healthcare data, this paper proposed an MTGPLSTM model for the processing of the medical data. The proposed model integrates the linear regression model for the processing of healthcare information. With the developed model outlier model is implemented based on the FinTech model for the evaluation and prediction of the COVID-19 healthcare dataset collected from the IoMT. The proposed MTGPLSTM model comprises of the regression model to predict and evaluate the planning scheme for the prevention of the infection spreading. The developed model performance is evaluated based on the consideration of the different classifiers such as LR, SVR, RFR, LSTM and the proposed MTGPLSTM model and the different size of data as 1GB, 2GB and 3GB is mainly concerned. The comparative analysis expressed that the proposed MTGPLSTM model achieves ~4% reduced MAPE and RMSE value for the worldwide data; in case of china minimal MAPE value of 0.97 is achieved which is ~ 6% minimal than the existing classifier leads.

• Journal of Navigation and Port Research
• /
• v.47 no.4
• /
• pp.231-238
• /
• 2023

The position of a light buoy is always flexible due to the influence of external forces such as tides and wind. The position can be checked through AIS (Automatic Identification System) or RTU (Remote Terminal Unit) for AtoN. As a result of analyzing the position data for the last five years (2017-2021) of a light buoy, the average position error was 15.4%. It is necessary to detect position error data and obtain refined position data to prevent navigation safety accidents and management. This study aimed to detect position error data and obtain refined position data by DBSCAN Clustering position data obtained through AIS or RTU for AtoN. For this purpose, 21 position data of Gunsan Port No. 1 light buoy where RTU was installed among western waters with the most position errors were DBSCAN clustered using Python library. The minPts required for DBSCAN Clustering applied the value commonly used for two-dimensional data. Epsilon was calculated and its value was applied using the k-NN (nearest neighbor) algorithm. As a result of DBSCAN Clustering, position error data that did not satisfy minPts and epsilon were detected and refined position data were acquired. This study can be used as asic data for obtaining reliable position data of a light buoy installed with AIS or RTU for AtoN. It is expected to be of great help in preventing navigation safety accidents.

• Journal of Information Management
• /
• v.37 no.1
• /
• pp.1-16
• /
• 2006

Due to the dramatic development of the Internet, the ICT market has changed from a voice based services to data based services. Substitution and complementary dynamism has emerged from communication technology services such as the Internet, mobile phone, and telephone. This paper analyses diffusion patterns of communication technologies such as the Internet, cellular phones, and telephones in different country groups. We estimate modified logistic growth model using time series data for the years 1975-2002. As a result, it is possible to categorize country groups according to the patterns of diffusions. This research creates essential information to forecast demand for new services based on incumbent services as well as provide information on strategies for entering the network industry.

• Journal of the Korean Applied Science and Technology
• /
• v.32 no.4
• /
• pp.685-693
• /
• 2015

In this study, we found that it is necessary to use the relatively new resource from seaweed extracts to extract and process pulp and create a local brand that can contribute to the local fishermen, development of new bio material, establishment of natural infrastructure, and acquisition of foreign investment. This study's seaweed pulp separation process is very overwhelming as seaweed is a compound of glycoside and polysaccharide. Nevertheless, we intend to develop a purification process and introduce applied technology to explore a new applied technology of pulp process. Once this technology is fully developed and mass produced, it would contribute to greater exports and increasing income level for the local fishermen. The ultimate goal of this study is to gather technical data from the first and second years of application, apply seaweed pulp to increase bio effect, and develop new functional bio-plastic packaging material, raw material, and samples with special characteristics of high molecules.

• Journal of Advanced Navigation Technology
• /
• v.23 no.1
• /
• pp.61-68
• /
• 2019

Underwater wireless light communication system is quite necessary to retrieve recorded data from underwater devices or the black box without taking back it body. In this paper, a research on the light sensor technology in underwater wireless light communication under turbid sea was studied. A noise source under turbid sea for light communication was analysed, and a sensor system for light sensing using the reference light signal to remove the noises and to improve the output swing power wasstudied. Also, an underwater communication system was manufactured to validate the good performance of the development system, and using the system, the good performance of the developed system was validated through the light communication test in the tank containing the turbid sea water was presented.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.19 no.6
• /
• pp.208-221
• /
• 2020

The objective of this study is to estimate and analyze the traffic density of continuous flow using the trajectory of individual vehicles and the headway of sample probe vehicles-front vehicles obtained from ADAS (Advanced Driver Assitance System) installed in sample probe vehicles. In the past, traffic density of continuous traffic flow was mainly estimated by processing data such as traffic volume, speed, and share collected from Vehicle Detection System, or by counting the number of vehicles directly using video information such as CCTV. This method showed the limitation of spatial limitations in estimating traffic density, and low reliability of estimation in the event of traffic congestion. To overcome the limitations of prior research, In this study, individual vehicle trajectory data and vehicle headway information collected from ADAS are used to detect the space on the road and to estimate the spatiotemporal traffic density using the Generalized Density formula. As a result, an analysis of the accuracy of the traffic density estimates according to the sampling rate of ADAS vehicles showed that the expected sampling rate of 30% was approximately 90% consistent with the actual traffic density. This study contribute to efficient traffic operation management by estimating reliable traffic density in road situations where ADAS and autonomous vehicles are mixed.

• Journal of Family Resource Management and Policy Review
• /
• v.27 no.1
• /
• pp.13-24
• /
• 2023

The 4th industrial revolution came deep into family life and changed the way of housework and care. The change in the family caused by the technological change of the 4th industrial revolution is remarkable in terms of socialization of housework. In this study, the socialization of housework, which is accelerating in the era of the 4th industrial revolution, was examined focusing on the change in the aspect of "household service" through the "platform". Since 2015, when technological changes in the 4th industrial revolution began to decline, related newspaper articles were extracted for daily and economic newspapers nationwide and analyzed big data. The results of big data analysis show that the platform economy using the 4th industrial revolution technology is rapidly spreading the socialization of housework not only at the business level but also at the public policy level. It has been confirmed that support for household services through the platform is growing into a new business area of companies, and at the public policy level, it is being treated as an important policy task in supporting work-family balance or responding to infectious diseases. This study is meaningful in that it provided an opportunity to reflect on the roles and tasks of the family, market, and state for housework and care in the future through changes in housework and care caused by the 4th industrial revolution technology.

• Journal of KIISE:Computing Practices and Letters
• /
• v.13 no.6
• /
• pp.402-406
• /
• 2007

Rich Internet Application(RIA) is one of the Web 2.0 technologies and is expected to be a next generation user interface technique which allows flexible and dynamic manipulation for Web searches. This paper addresses a personalization mechanism for advanced Web search using RIA for abundant user interactions. We devised a dynamic and graphical user interface instead of previous text-based searches and a client side application for storing personal preference information. In this research, we implemented the graphical personalized search manager using Yahoo web search API and widget, and demonstrated its effectiveness by performing some experiments with various query terms and representative predicates.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.831-835
• /
• 2023

In contrast to the global public's interest in the Korean Wave, which has persisted since the early 2000s, our efforts and knowledge on business studies that combine art and technology are limited. This study utilizes a case study methodology to select and analyze notable examples of the integration of various technologies into the performing arts for the growth of Korean performing arts and the continued growth of the Korean Wave. In particular, cases of performing arts utilizing Metaverse have been presented recently, but there is a lack of consideration from the stakeholders' perspective. This study aims to suggest implications for the revitalization of performing arts through the integration of various technologies through case study analysis from these perspectives.