• Proceedings of the KIEE Conference
• /
• 2001.05a
• /
• pp.226-229
• /
• 2001

The combined transmission lines with the underground power cables are continuously expanded in power systems. So the fault of combined transmission line is increased every year as the complication of underground transmission line. In this paper. traveling wave theory and DWT wavelet transform are used for fast and accurate detection of fault location at the combined transmission line. Traveling wave travels to each bus like surge and repeats reflection and transmission till transient signal is completely disappeared. When fault is occurred on overhead and underground tine, the fault location detecting algorithm was performed with using continuous peak value time-delay of traveling wave reflected from A bus.

• Communications for Statistical Applications and Methods
• /
• v.25 no.3
• /
• pp.263-274
• /
• 2018

One of the common issues in large dataset analyses is to detect and construct homogeneous groups of objects in those datasets. This is typically done by some form of clustering technique. In this study, we present a divisive hierarchical clustering method for two monothetic characteristics of histogram data. Unlike classical data points, a histogram has internal variation of itself as well as location information. However, to find the optimal bipartition, existing divisive monothetic clustering methods for histogram data consider only location information as a monothetic characteristic and they cannot distinguish histograms with the same location but different internal variations. Thus, a divisive clustering method considering both location and internal variation of histograms is proposed in this study. The method has an advantage in interpreting clustering outcomes by providing binary questions for each split. The proposed clustering method is verified through a simulation study and applied to a large U.S. house property value dataset.

• Journal of Information Processing Systems
• /
• v.17 no.2
• /
• pp.352-368
• /
• 2021

Sign-in point of interest (POI) are extremely sparse in location-based social networks, hindering recommendation systems from capturing users' deep-level preferences. To solve this problem, we propose a content-aware POI recommendation algorithm based on a convolutional neural network. First, using convolutional neural networks to process comment text information, we model location POI and user latent factors. Subsequently, the objective function is constructed by fusing users' geographical information and obtaining the emotional category information. In addition, the objective function comprises matrix decomposition and maximisation of the probability objective function. Finally, we solve the objective function efficiently. The prediction rate and F1 value on the Instagram-NewYork dataset are 78.32% and 76.37%, respectively, and those on the Instagram-Chicago dataset are 85.16% and 83.29%, respectively. Comparative experiments show that the proposed method can obtain a higher precision rate than several other newer recommended methods.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.6
• /
• pp.1477-1486
• /
• 2013

In this paper, Implementation of location estimation system using wireless communication technology based on Zigbee. Using wireless communication technology, calculation more accurate location information and service location information to the H/W and S/W has been developed. Receivers, repeaters, smart tag(location device), was developed for implement a location estimation system. The smart tag is built the 120~130KHz, 13~14MHz, 2.0~3.0GHz radio frequency tag. Receiver and repeater is applied to the tag module to recognize the location device's active RFID tags transmit a wireless signal for tag identification. Common Entrance control system in contact with a smart tag, It was implemented to transfer the value of the tag to the access control server over a LAN.

• The Transactions of the Korean Institute of Electrical Engineers A
• /
• v.55 no.3
• /
• pp.116-122
• /
• 2006

The underground transmission lines is continuously expanded in power systems. Therefore the fault of underground transmission lines are increased every year because of the complication of systems. However the studies dealing with fault location in the case of the underground transmission lines are rarely reported except for few papers using traveling wave method and calculating underground cable impedance. This paper describes the algorithm using fuzzy system and travelling wave method in the underground transmission line. Fuzzy inference is used for fault discrimination. To organize fuzzy algorithm, it is important to select target data reflecting various underground transmission line transient states. These data are made of voltage and average of RMS value on zero sequence current within one cycle after fault occurrence. Travelling wave based on wavelet transform is used for fault location. In this paper, a variety of underground transmission line transient states are simulated by EMTP/ATPDraw and Matlab. The input which is used to fault location algorithm are Detail 1(D1) coefficients of differential current. D1 coefficients are obtained by wavelet transform. As a result of applying the fuzzy inference and travelling wave based on wavelet transform, fault discrimination is correctly distinguished within 1/2 cycle after fault occurrence and fault location is comparatively correct.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.9
• /
• pp.466-472
• /
• 2020

The purpose of this study is to explore how to use location data for peer relations of infants in free-choice play activities. For this study, location data was collected using wearable devices for 14 students in one class at an early childhood education institution in Chungnam. For the pre-processing of the collected location data, a smoothing technique was applied to recover missing values during the collection process, and the data was visualized using Python's Matplotlib. Subsequently, the movement distance, distance between infants, and interaction types of infants were extracted from the location data using the formula. As a result of the study, it was possible to derive 1) change in moving distance, cumulative value, average value, 2) change in distance and average distance value between infants, and 3) change and trend in interaction type according to the passage of time. These results can provide valuable information on the process of forming peer groups for infants in situations where it is difficult for a teacher to closely observe all members, and can be used as meaningful information for the design and operation of educational programs.

• Journal of the Korean housing association
• /
• v.19 no.4
• /
• pp.11-20
• /
• 2008

The purpose of this study is to gather baseline data on perceived housing values and satisfaction rates among consumers with the aim of using this information for future planning. Self-administered questionnaires were provided to 1000 university students from Gwangju and the Chonnam area from 2007 October 8th to 30th. The collected data was used to conduct comparative and descriptive statistical analysis: factor analysis, cluster analysis, t-test, $x^2-test$ and one-way ANOVA. The main findings are as follows: Firstly, in relation to perceived house values, students identified three factors as important: pursuit of convenience, disposition toward individuality-orientation and consciousness of others. The respondents regarded convenience as very important, especially in regard to one's safety, health and location of amenities. Secondly, cluster analysis based on perceived house value revealed passive and energetic types. Students in the energetic type exhibited a tendency to prefer convenience, independence, and consciousness of others. Finally in terms of housing satisfaction, the respondents identified four factors as important: house quality, neighborhood environment, local socio-psychological environment, and location. Housing satisfaction was higher among students who lived in large or new houses, shared the same house with their family, and had a room all to themselves. Accoding to these findings, university students important value safety, health and environmental-friendliness in a house and they find location important. Therefore, future houses should reflect these wants.

• Advances in Energy Research
• /
• v.5 no.2
• /
• pp.147-177
• /
• 2017

This study aims to evaluate and prioritize ten different sites in Iran's Khorasan provinces for the construction of wind farm. After studying the geography of the sites, nine criteria; including wind power, topography, wind direction, population, distance from power grid, level of air pollution, land cost per square meter, rate of natural disasters, and distance from road network-are selected for the analysis. Prioritization is performed using data envelopment analysis (DEA). The developed DEA model is validated through value engineering based on the results of brainstorming sessions. The results show that the order of priority of ten assessed candidate sites for installing wind turbines is Khaf, Afriz, Ghadamgah, Fadashk, Sarakhs, Bojnoord, Nehbandan, Esfarayen, Davarzan, and Roudab. Additionally, the outcomes extracted from the value engineering method identify the city of Khaf as the best candidate site. Six different wind turbines (7.5 to 5,000 kW) are considered in this location to generate electricity. Regarding an approach to produce and store hydrogen from wind farm installed in the location, the AREVA M5000 wind turbine can produce approximately $337ton-H_2$ over a year. It is an enormous amount that can be used in transportation and other industries.

• Journal of the Ergonomics Society of Korea
• /
• v.35 no.5
• /
• pp.449-464
• /
• 2016

Objective: The objective of this study is to identify essential requirements of the instrument cluster's features and layout for elderly drivers through interview and paper prototyping. Background: Recent updates implemented in passenger vehicles require more complex information to be processed by drivers. Concurrently, a large portion of the US population, the baby boomer generation has aged, causing their physical and cognitive abilities to deter. Thus it is crucial that new methods be implemented into vehicle design in order to accommodate for the deterioration of mental and physical abilities. Method: Forty elderly drivers and twenty young drivers participated in this study. The test included three sessions including: 1) location value assessment to identify the priority of areas within the instrument cluster; 2) component value assessment to capture rankings of the degree of importance and frequency of use for possible instrument cluster components; and 3) paper prototyping to collect self-designed cluster with selection of designs for each component and location of features from each participant. Results: Results revealed differences in the area priority of the instrument cluster as well as the shape and location of component features for age and gender groups. Conclusion: The study provided insights on instrument cluster layout guidelines by proving elderly driver's mental model and preferred cluster design configurations to improve driving safety. Application: LCD-based vehicle instrument cluster design, with an adaptable feature configuration for cluster components and layouts.

• Transactions of the Korean Society of Mechanical Engineers
• /
• v.16 no.4
• /
• pp.795-802
• /
• 1992

A numerical analysis is performed on the turbulent flow in the plain seal with injection. The parameters used in this study are as follows : Reynolds number, rotation speed, injection speed, clearance ratio, injection angle, and axial injection location. Flow pattern and leakage performance due to the variation of parameters are investigated. SIMPLER algorithm is used to solve the Navier-Stokes equation governing steady, incompressible turbulent flow and standard K- .epsilon. turbulent model is used to consider the turbulence effects. The leakage performance is significantly enhanced with injection. The increases of the injection flow rate and be rotation speed of the shaft cause the leakage performance to the increased. With the increase of the Reynolds number the leakage performance is diminished. At the injection angle of 90deg, the leakage coefficient has a minimum value. The pressure drop has a maximum value at axial center location but the injection location has little effect on the pressure drop. Clearance ratio has a significant effect on the pressure drop.