• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.38 no.2
• /
• pp.97-107
• /
• 2020

To analyze temporal and spatial changes in vegetation, it is necessary to determine the associated continuous distribution and conduct growth observations using time series data. For this purpose, the normalized difference vegetation index, which is calculated from optical images, is employed. However, acquiring images under cloud cover and rainfall conditions is challenging; therefore, time series data may often be unavailable. To address this issue, La et al. (2015) developed a multilinear simulation method to generate missing images on the target date using the obtained images. This method was applied to a small simulation area, and it employed a simple analysis of variables with lower constraints on the simulation conditions (where the environmental characteristics at the moment of image capture are considered as the variables). In contrast, the present study employs variables that reflect the growth characteristics of vegetation in a greater simulation area, and the results are compared with those of the existing simulation method. By applying the accumulated temperature, the average coefficient of determination (R²) and RMSE (Root Mean-Squared Error) increased and decreased by 0.0850 and 0.0249, respectively. Moreover, when data were unavailable for the same season, R² and RMSE increased and decreased by 0.2421 and 0.1289, respectively.

• The Journal of the Korea Contents Association
• /
• v.15 no.1
• /
• pp.519-526
• /
• 2015

This article presents detailed explanations of the depreciation method using the accumulated depreciation rate function(ADRF) proposed by the author previously, for the practical application. ADRF provides a value of accumulated depreciation rate on the total depreciation charge at any given time, therefore it can be used in a time-based depreciation method. Since the depreciation charge of each period can be systematically computed with ADRF, in every case where the charge is constant or decreasing or increasing, we can choose diverse rational depreciation types for the characteristic of every asset. Also, since the ADRF is the continuous function of time, we can compute the depreciation charge with consistency in cases where assets are owned for partial period. However, we should determine the value of parameter of ADRF. We give some data on the problem.

• Journal of Life Science
• /
• v.17 no.10
• /
• pp.1414-1418
• /
• 2007

This study was to examine the accumulated concentration of lead in the organ of Arabidopsis thaliana grown in the soil added three different concentrations of lead. The accumulated concentrations of lead in the stem of plant grown in the soil added official standard concentration of lead of pollutant exhaust notified by the Ministry of Environment (1 mg/l), concentration ten times higher than the official standard concentration (10 mg/l) and concentration fifty times higher (50 mg/l) were similar to the rate of increase between three different concentrations, and increased average 24% compared with normal plant stem. The accumulated concentrations of lead in the leaf of plant grown in the soil added three different concentrations of lead were increased average 57% compared with normal plant leaf. And accumulated concentrations of lead in the leaf was no significant difference according to increase of lead concentration added in the soil as stem, the rate of increase was similar to between three different concentrations. The accumulated concentrations of lead in the root of plant grown in the soil added official standard concentration of lead of pollutant exhaust and concentration ten times higher were increased average 114% compared with normal plant root, but increased about 861% in the concentration fifty times higher than the official standard concentration. This result contrast with the data of stem and leaf. The accumulated concentration of lead in the plant body of Arabidopsis thaliana was increased according to increase of lead concentration added in the soil. Especially, the accumulated concentration of lead in the plant body grown in the concentration fifty times higher than the official standard concentration was increased about 2.6 times than normal plant. These results show that lead contaminated within the soil was more accumulated in the root than the stem or leaf, and accumulated concentrations of lead in the stem and leaf were not increased in proportion to the concentration of lead in the soil, but very increased in proportion to the concentration in the root.

• Journal of Korean Academic Society of Home Health Care Nursing
• /
• v.8 no.1
• /
• pp.62-73
• /
• 2001

This study was conducted to develop a home care nursing management system based on the validated and useful data base found through literature review. The contents and structure according to a development procedure for a computer system were as follows. 1. A data base on home care nursing patients was accumulated by putting data respectively in both steps and fields - from selection criteria. basic information. prescription. plan of home visits. to application of nursing process. 2. Accumulated data was classified and designed to search by basic information. drug/injection prescription. examination prescription, treatment prescription. supply. and a record of the nursing process. 3. Various forms of retrieval including graphs were elaborated in terms of diagnosis and intervention aspects.

• International Journal of Contents
• /
• v.15 no.3
• /
• pp.32-38
• /
• 2019

We usually suffer from difficulties in treating or managing Big Data generated from various digital media and/or sensors using traditional mining techniques. Additionally, there are many problems relative to the lack of memory and the burden of the learning curve, etc. in an increasing capacity of large volumes of text when new data are continuously accumulated because we ineffectively analyze total data including data previously analyzed and collected. In this paper, we propose a general-purpose classifier and its structure to solve these problems. We depart from the current feature-reduction methods and introduce a new scheme that only adopts changed elements when new features are partially accumulated in this free-style learning environment. The incremental learning module built from a gradually progressive formation learns only changed parts of data without any re-processing of current accumulations while traditional methods re-learn total data for every adding or changing of data. Additionally, users can freely merge new data with previous data throughout the resource management procedure whenever re-learning is needed. At the end of this paper, we confirm a good performance of this method in data processing based on the Big Data environment throughout an analysis because of its learning efficiency. Also, comparing this algorithm with those of NB and SVM, we can achieve an accuracy of approximately 95% in all three models. We expect that our method will be a viable substitute for high performance and accuracy relative to large computing systems for Big Data analysis using a PC cluster environment.

• Proceedings of the KSR Conference
• /
• 2007.11a
• /
• pp.1058-1070
• /
• 2007

Internal and external railway management corporations are using the periodic replacement criteria of rail by accumulated passing tonnage and wear to maintain rails for servicing. However, internal the periodic replacement criteria of continuous welded rail(CWR) by accumulated passing tonnage is the one(50kg/m-5 million gross tonnage, 60kg/m-6 million gross tonnage) presented in Japan before. It was estimated with the fatigue life about 50kg N rail joints applied diesel train load but it wasn't applied to current conditions of track; elimination of rail joint, using the concrete slab track and operation of light train load and effect of welding, manufacturing technique, grinding of rail. Therefore, in this study, it was investigated the types of damage and cause in welded rails and examined standards and information resources. Also, this study presents preliminary data to revise the periodic replacement criteria of CWR by current accumulated passing tonnage in bending test of laid welded rail and a survey of track maintenance history of Seoul metro.

• International conference on construction engineering and project management
• /
• 2017.10a
• /
• pp.8-13
• /
• 2017

Nuclear power plant (NPP) constructions are large scale projects that are executed for several years, and schedule control utilizing various schedules is a critically important factor. Recently Korea independently developed the Advanced Power Reactor (APR) 1400 and is building nuclear facilities applying this new reactor type. The construction of Shin-Kori NPP (SKN) Unit 3, which adopted the APR1400, was completed and commercial operation has begun, while, SKN 4, Shin-Hanul NPP (SHN) Units 1&2, and SKN 5&6 are currently under construction. Prior to the development of the APR1400, Korea built 24 reactors and accumulated the schedule data of various reactor types which provided the foundation for schedule reduction to be possible. However, as there is no schedule development and review system established based on the standard schedule data (standard activities, durations, etc.) by reactor type, the process for developing the schedule for new builds is low in efficiency consuming much time and manpower. Also all construction data has been accumulated based on schedule activities. But because the connectivity of activities between projects is low, it is difficult to utilize such accumulated data (causes for schedule delay, causes for design changes, etc.) in new build projects. Due to such reasons, issues continue to arise in the process of developing standard schedule activities and a standard schedule for nuclear power plant construction. In order to develop a standard schedule for NPP construction, i) the development of an NPP standard schedule activity list, ii) development of the connection logic of NPP standard schedule activities, iii) development of NPP standard schedule activity resources and duration, and iv) integration of schedule data need to be performed. In this paper, an analysis was made on the coherence of schedule activity descriptions of existing NPPs by applying the probabilistic methodology on activities with low connectivity due to the utilization of the numbering system of four APR1400 reactors (SHN 1&2 and SKN 3&4).This study also describes the method for developing a standard schedule activity list and connectivity measures by extracting same and/or similar schedule activities.

• Journal of the Society of Naval Architects of Korea
• /
• v.43 no.6 s.150
• /
• pp.700-706
• /
• 2006

As development of information technology, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. They experience that constructing information system help knowledge management. Now, we focus on engineering knowledge. Because engineering data contains experts' experience and know-how in its own, engineering knowledge is a treasure house of knowledge. Korean shipyards are leader of world shipbuilding industry. They have accumulated a store of knowledge and data. But, they don't have data mining tool to utilize accumulated data. This paper treats development of data mining tools for the utilization of shipbuilding knowledge based on genetic programming(GP).

• Journal of Institute of Control, Robotics and Systems
• /
• v.21 no.10
• /
• pp.936-943
• /
• 2015

This paper presents arc/line segments-based Simultaneous Localization and Mapping (SLAM) by updating accumulated laser sensor data with a mobile robot moving in an unknown environment. For each scan, the sensor data in the set are stored by a small constant number of parameters that can recover the necessary information contained in the raw data of the group. The arc and line segments are then extracted according to different limit values, but based on the same parameters. If two segments, whether they are homogenous features or not, from two scans are matched successfully, the new segment is extracted from the union set with combined data information obtained by means of summing the equivalent parameters of these two sets, not combining the features directly. The covariance matrixes of the segments are also updated and calculated synchronously employing the same parameters. The experiment results obtained in an irregular indoor environment show the good performance of the proposed method.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.12
• /
• pp.117-123
• /
• 2017

The personalized search algorithm is a search system that analyzes the user's IP, cookies, log data, and search history to recommend the desired information. As a result, users are isolated in the information frame recommended by the algorithm. This is called 'Filter bubble' phenomenon. Most of the personalized data can be deleted or changed by the user, but data stored in the service provider's server is difficult to access. This study suggests a way to neutralize personalization by keeping on sending random query words. This is to confuse the data accumulated in the server while performing search activities with words that are not related to the user. We have analyzed the rank change of the URL while conducting the search activity with 500 random query words once using the personalized account as the experimental group. To prove the effect, we set up a new account and set it as a control. We then searched the same set of queries with these two accounts, stored the URL data, and scored the rank variation. The URLs ranked on the upper page are weighted more than the lower-ranked URLs. At the beginning of the experiment, the difference between the scores of the two accounts was insignificant. As experiments continue, the number of random query words accumulated in the server increases and results show meaningful difference.