• 디지털산업정보학회논문지
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• 제8권3호
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• pp.65-74
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• 2012

A barcode is a representative means of cognition. It is either printed on the package of a product or attached to it as a sticker. It is used for the fast cognition of a product at a store. It is considerably cheap to make a barcode. Also, it is possible to read it fast by using a barcode reader. Because of such convenience provided by the barcode, a new system using the barcode as a means of settling payments like a currency or a credit card has been developed. However, due to its characteristics, it is easy to reduplicate, forge or falsify a barcode easily. Therefore, this study focuses on the case of applying the system using barcodes as a means of settling payments without providing solutions for the potential weaknesses. Also, this study suggests various points to consider regarding the creation of safe barcodes as one of the related measures, while providing various methods using additional means of certification other than the one of using barcodes in addition to the way of applying complexity with barcode numbers. Throughout this study, it will be possible to safely establish and operate the payment-settlement system using barcodes.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.686-688
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• 2010

최근에는 주변 환경에 전자태그 및 센서를 부착하고 부착된 센서를 통한 상황 정보가 활용 되면서 많은 양의 데이터를 효과적으로 저장하고 검색하는 기법이 필요하다. 본 논문에서는 USN/RFID 단말 장치 중에서 연속적인 데이터 수집이 이루어지는 센서에 대해서 RLE(Run Length Encoding)압축 방식을 응용한다. 데이터에는 시간 정보를 마킹하여 하나의 데이터 블록을 생성한 다음에 저장한다. 연속적인 데이터에 시간 정보를 기록함으로써 원하는 시간 및 특정 장소의 데이터를 빠른 시간안에 찾을 수 있도록 저장 기법을 제안한다.

• 전기학회논문지
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• 제65권7호
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• pp.1277-1282
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• 2016

The term "Big Data" has been defined to encapsulate a broad spectrum of data sources and data formats. It is often described to be unstructured data due to its properties of variety in data formats. Even though the traditional methods of structuring data in rows and columns have been reinvented into column families, key-value or completely replaced with JSON documents in document-based databases, the fact still remains that data have to be reshaped to conform to certain structure in order to persistently store the data on disc. ETL processes are key in restructuring data. However, ETL processes incur additional processing overhead and also require that data sources are maintained in predefined formats. Consequently, data in certain formats are completely ignored because designing ETL processes to cater for all possible data formats is almost impossible. Potentially, these unconsidered data sources can provide useful insights when incorporated into big data analytics. In this project, using big data solution, Apache Spark, we tapped into other sources of data stored in their raw formats such as various text files, compressed files etc and incorporated the data with persistently stored enterprise data in MongoDB for overall data analytics using MongoDB Aggregation Framework and MapReduce. This significantly differs from the traditional ETL systems in the sense that it is compactible regardless of the data formats at source.

• 전기학회논문지P
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• 제64권2호
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• pp.74-78
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• 2015

With the improvement of living standards and economic development, electricity consumption continues to grow. The electricity is a special energy which is hard to store, so its supply must be consistent with the demand. The objective of electricity demand forecasting is to make best use of electricity energy and provide balance between supply and demand. Hence, it is very important work to forecast electricity demand with higher precision. So, various forecasting methods have been developed. They can be divided into five broad categories such as time series models, regression based model, artificial intelligence techniques and fuzzy logic method without considering special-day effects. Electricity demand patterns on holidays can be often idiosyncratic and cause significant forecasting errors. Such effects are known as special-day effects and are recognized as an important issue in determining electricity demand data. In this research, we developed the power demand forecasting method using ELM(Extreme Learning Machine) for special day, particularly, lunar new year and Chuseok holiday.

• 농촌계획
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• 제26권2호
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• pp.13-24
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• 2020

This study analyzed the management efficiency of local food stores that are increasing recently. The analysis targeted 25 local food outlets in Jeonbuk area, and the analysis method analyzed the efficiency by CCR model. The input variables used to analyze the input-oriented efficiency of local food stores are business expenses, employees, organizational number of participating farms, and number of items, and sales are used as output variables. The main contents of the analysis are as follows. First, local food outlets increased due to support projects such as the government, local governments, and agricultural cooperatives, but their dependence was high. Second, the management efficiency of 25 local food stores in Jeonbuk is 28.0% when the efficiency is 1.000, and 72.0% of inefficient local food stores. Third, considering the projection point and the reference group, there was room for improvement in input variables. Therefore, it was determined that improvement efforts are needed to secure the continuity of local food outlets in the future. However, this study will require review of variable selection and analysis methods for further analysis.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2000년도 제18회 학술발표회 논문개요집
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• pp.145-145
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• 2000

M-CeO2 (M : noble metal) catalysts have been widely studied as three-way catalysts and methanol synthesis catalysts. Ceria is thought to play a number of roles in these catalysts. The Ce(IV)/Ce(III) redox pair may store/release gases under oxidizing/reducing conditions, extending the operational window. Additionally, metal-ceria interactions lead to several effects, including the dispersion of the active components and promoting the activation of molecules such as CO or NO. Pd is a promising component to current TWC formulations and behaves particularly well when compared with Pt and Rh-based catalysts for low-temperature oxidation of Co and hydrocarbon. However the effect of Pd-ceria interactions on the physicochemical properties of Pd and the redox properties of Ce is not elucidated yet. In order to know exactly about the metal-ceria interactions, the model study are expecting to give a better environment, resulting in the wide use of the surface science tools. The substrate was Si(100) wafer, on which Ta metal was sputtered as a thickness of 100nm. The CeO2 thin film of 30nm was deposited by using the magnetron sputtering. Spin coating and magnetron sputtering methods were used to make the Pd thin film layer. The prepared sample was investigated by in-situ XPS, AES, SEM and AFM analysis.

• 정보처리학회논문지C
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• 제18C권6호
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• pp.397-404
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• 2011

최근 기존의 단 방향 전력망 시스템에 정보통신기술을 접목한 스마트그리드 기술의 개발이 활발하게 이루어지고 있다. 스마트그리드의 핵심 인프라로 원격검침시스템인 AMI는 스마트미터에서 측정한 전력량을 상위 데이터 저장소인 MDMS에 전송한다. 스마트미터는 정보통신기술을 활용하여 전력데이터를 전송하고 있기 때문에 기존 보안위협을 포함한 추가적인 보안위협이 예상된다. 이는 소비자의 개인정보노출 및 산업시스템 마비 등의 손실이 발생할 가능성이 있다. 따라서 본 논문은 이러한 보안위협에 대응하기 위해 스마트그리드 환경에서 스마트미터와 MDMS간 그리고 각 가정의 디바이스와 MDMS간의 상호인증과 전력량 데이터 전송방식에 관하여 제안하였다.

• 대한한의학원전학회지
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• 제32권4호
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• pp.17-33
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• 2019

Objectives : The verse, "冬不藏精, 春必病溫", which had much influence, has been falsely referenced as contents of "Neijing". This study aims to examine this process, while looking at its theoretical meaning within clinical practice. Methods : The origins of the concept "冬不藏精, 春必病溫" are explained through annotations of "Neijing" and Li Dong Yuan(李東垣)'s interpretation of Shanghan(傷寒), while its clinical meaning is examined through theories of doctors's who applied the concept in their practices. Results : The beginning of "冬不藏精, 春必病溫" could be traced back to Li's annotation of the verse "冬傷于寒, 春必病溫" from the "Neijing", where he based his understanding on the concept "少陰不藏." Since then, the discourse on "冬傷于寒, 春必病溫" has been replaced by "冬不藏精, 春必病溫" as a new concept to explain the pathology of Wenbing(溫病). These discussions followed the line of thought that by failure to store Jing(精) during the winter, Cold pathogen would infiltrate, hiding itself in Shaoyin(少陰). Various arguments on how the Cold pathogen would develop into Wenbing and its treatment followed. Conclusions : "冬不藏精, 春必病溫" can be understood as the result of a new interpretation of "冬傷于寒, 春必病溫" through the perspective of Cold pathogen infiltration based on "少陰不藏".

• 한국학교보건학회지
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• 제34권1호
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• pp.53-61
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• 2021

Purpose: The purpose of this study was to investigate the affect of eating behaviors on subjective health of multi-cultural adolescents in South Korea. Methods: This study is designed as cross-sectional. Using the statistics from the 15th (2019) Korea Youth Risk Behavior Web-based Survey, multiple logistic regression analysis was conducted. Overall, 711 multi-cultural adolescents were included in the analysis. Results: When analyzing the factors affecting the subjective health status of multi-cultural adolescents, normal body mass index (OR: 0.56, 95% CI: 0.35~0.89) and milk consumption (OR: 0.54, 95% CI: 0.35~0.83) showed a lower risk of being unhealthy, while skipping breakfast for 5 days (OR: 1.97, 95% CI: 1.33~2.93) and convenience store food consumption (OR: 1.59, 95% CI: 1.05~2.40) showed a higher risk of being unhealthy. Conclusion: It is necessary to form positive eating habits that influence the subjective health perception of multi-cultural adolescents. Therefore, appropriate dietary education and systematic support should be provided for multi-cultural families.

• 반도체디스플레이기술학회지
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• 제16권3호
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• pp.82-86
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• 2017

High dynamic range (HDR) imaging offers a radically approach of representing colors in digital images. Instead of using the range of colors produced by given devices, HDR imaging method manipulates and stores all colors and brightness levels visible to the human eye. To faithfully represent, store and then reproduce all these effects, the original scene must be stored and treated using high fidelity HDR techniques. Then, tone mapping is required to accommodate HDR image to low dynamic range (LDR) devices, and tone mapping operation of HDR image for realistic display is commonly researched. However, color visualization for analyzing scene luminance in HDR imaging has less attention from researches. This paper presents and implements a method for reproduction and visualization of the false color in HDR images. We produce a color visualization framework with several mapping functions, and evaluate their effectiveness by using RMAE and SNR with commonly used HDR image data. Experiment reveals that the sigmodal mapping function shows better performance in the false color visualization, compared to other methods.