• Title/Summary/Keyword: local data

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Feasibility study of wireless motion control (Wireless 모션제어의 가능성 연구)

  • Lee, Don-Jin;Ahn, Jung-Hwan
    • Proceedings of the KSME Conference
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    • 2001.06b
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    • pp.82-86
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    • 2001
  • This papers deals with feasibility study of wireless motion control. Wireless telecommunication advances with development of IT technology and extends more and more areas. So we selected Bluetooth out of the technologies(Bluetooth, SWAP(SharedWireless Access Protocol), IrDA(Infra Red Data Association), WLAN(Wireless Local Area Network)) which was developed for local data communication and set up simple experimental system for wireless data transfer and server and client program for wireless data transfer was wrote. We successfully transferred some data wirelessly with this program.

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Privacy-Preserving Traffic Volume Estimation by Leveraging Local Differential Privacy

  • Oh, Yang-Taek;Kim, Jong Wook
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.12
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    • pp.19-27
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    • 2021
  • In this paper, we present a method for effectively predicting traffic volume based on vehicle location data that are collected by using LDP (Local Differential Privacy). The proposed solution in this paper consists of two phases: the process of collecting vehicle location data in a privacy-presering manner and the process of predicting traffic volume using the collected location data. In the first phase, the vehicle's location data is collected by using LDP to prevent privacy issues that may arise during the data collection process. LDP adds random noise to the original data when collecting data to prevent the data owner's sensitive information from being exposed to the outside. This allows the collection of vehicle location data, while preserving the driver's privacy. In the second phase, the traffic volume is predicted by applying deep learning techniques to the data collected in the first stage. Experimental results with real data sets demonstrate that the method proposed in this paper can effectively predict the traffic volume using the location data that are collected in a privacy-preserving manner.

Environmental Risk Assessment of Cadmium using National Monitoring Data (수질 및 토양오염 모니터링 결과를 이용한 카드뮴의 환경위해성평가)

  • Park Kwangsik;Shin Dong-chun
    • Environmental Analysis Health and Toxicology
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    • v.19 no.1
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    • pp.65-72
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    • 2004
  • Environmental risk assessment of cadmium compounds was conducted using national monitoring data of aquatic and terrestrial compartments of local area. Aquatic and terrestrial toxicities of cadmium compounds on algae, daphnid, fish, earthworm, springtails and other species were evaluated. The toxicity data evaluated in this study were mainly from ECOTOX database provided by US EPA. Assessment factors were determined according to the EU technical guidance document and/or OECD proposal. Predicted no effect concentration (PNEC) values of aquatic and terrestrial toxicity were 25$\mu\textrm{g}$/L and 0.2 mg/kg, respectively and they were compared with cadmium exposure data of several local areas, which were used as Predicted exposure concentration(PEC) values. Most of the local area were found to be not risky. However, the risk values (PEC/NEC) of some metropolitan areas were greater than 1 when the most conservative PNEC value was applied.

Statistical Characteristics of Local Circulation Winds Observed using Climate Data in the Complex Terrain of Chilgok, Gyeongbuk

  • Ha-Young Kim;Soo-Jin Park;Hae-Dong Kim
    • Journal of Environmental Science International
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    • v.32 no.5
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    • pp.375-384
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    • 2023
  • Climate data were obtained over an eight-year period (July 2013 to June 2021) using an automatic weather observation system (AWS) installed at the foot of Mt. Geumo in Chilgok, Gyeongbuk. Using climate data, the statistical and meteorological characteristics of the local circulation between the Nakdong River and Mt. Geumo were analyzed. This study is based on automatic weather observation system data for Dongyeong, along with comparative climate data from the Korea Meteorological Administration (Chilgok) and the Gumi meteorological observatory. Over the eight- years, mountain and valley winds have occurred 48 times a year on average, with the highest occurring in May and the weakest winds in June and December. When mountain winds occurred, the temperature in the nearby lowland region more strongly decreased than when valley winds blew. However, the potential to use mountain winds to improve urban thermal environments is limited because mountain winds occur infrequently in summer when a drop in nighttime temperature is required.

Semiparametric Evaluation of Environmental Goods: Local Linear Model Approach

  • Jeong, Ki-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.2
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    • pp.209-216
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    • 2003
  • Contingent valuation method (CVM) is a main evaluation method of nonmarket goods for which markets either do not exist at all or do exist only incompletely; an example is environmental good. A dichotomous choice approach, the most popular type of CVM in environmental economics, employs binary discrete choice models as statistical estimation models. In this paper, we propose a semiparametric dichotomous choice CVM method using local linear model of Fan and Gijbels (1996) in which probability distribution of error term is specified parametrically but latent structural function is specified nonparametrically. The computation procedures of the proposed method are illustrated with a simple design of simulations.

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Estimation of the Number of Change-Points with Local Linear Fit

  • Kim, Jong-Tae;Choi, Hey-Mi
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.2
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    • pp.251-260
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    • 2002
  • The aim of this paper is to consider of detecting the location, the jump size and the number of change-points in regression functions by using the local linear fit which is one of nonparametric regression techniques. It is obtained the asymptotic properties of the change points and the jump sizes. and the correspondin grates of convergence for change-point estimators.

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Selection of Data-adaptive Polynomial Order in Local Polynomial Nonparametric Regression

  • Jo, Jae-Keun
    • Communications for Statistical Applications and Methods
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    • v.4 no.1
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    • pp.177-183
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    • 1997
  • A data-adaptive order selection procedure is proposed for local polynomial nonparametric regression. For each given polynomial order, bias and variance are estimated and the adaptive polynomial order that has the smallest estimated mean squared error is selected locally at each location point. To estimate mean squared error, empirical bias estimate of Ruppert (1995) and local polynomial variance estimate of Ruppert, Wand, Wand, Holst and Hossjer (1995) are used. Since the proposed method does not require fitting polynomial model of order higher than the model order, it is simpler than the order selection method proposed by Fan and Gijbels (1995b).

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Fuzzy Local Linear Regression Analysis

  • Hong, Dug-Hun;Kim, Jong-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.515-524
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    • 2007
  • This paper deals with local linear estimation of fuzzy regression models based on Diamond(1998) as a new class of non-linear fuzzy regression. The purpose of this paper is to introduce a use of smoothing in testing for lack of fit of parametric fuzzy regression models.

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Analysis on the Efficiency of Social Welfare Facility in Local Governments (지방자치단체 사회복지시설 운영의 효율성 분석)

  • Ko, Dong-Won
    • The Journal of the Korea Contents Association
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    • v.11 no.9
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    • pp.238-245
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    • 2011
  • For introduction of local autonomy system, local government enabled efficient supply of public service by local resident's request. Specially, local governments is doing effort of that organize various policy and a lot of budgets for social welfare promotion, but is interested relatively little in efficient use of social welfare finance and operation. According to these problem, this study measured efficiency of social welfare facility in local governments. The purpose of this analysis is to measure the efficiency of community welfare in local governments by data envelopment analysis(DEA), using data from 16 local governments in Korea. Input variance is GDP per capita in local, rate of welfare budget, rate of financial independence and local public official per 10,000 capita. Output variance is social welfare facility per 100,000 capita and park area per 1,000 capita, The results of the study are summarized as follows : First, There was differential in efficiency about social welfare facilities operation in local governments. 7 local governments(Busan, etc.) was an in efficiency. Second, some local governments(Incheon, etc.) must increase scale of input variance, and some local governments(Busan, etc.) must improve efficiency of input variance.