• Title/Summary/Keyword: store methods

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Effective ROM Compression Methods for Direct Digital Frequency Synthesis (직접 디지털 주파수 합성을 위한 효율적인 ROM 압축 방법)

  • 이진철;신현철
    • Journal of KIISE:Computer Systems and Theory
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    • v.31 no.9
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    • pp.536-542
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    • 2004
  • An architecture of direct digital frequency synthesizers (DDFS) is studied in this paper The Direct digital frequency synthesizers (DDFS) provide fast frequency switching with high spectral purity and are widely used in modern spread spectrum wireless communication systems. ROM-based DDFS uses a ROM lookup table to store the amplitude of a sine wave. In this paper, we suggest three new techniques to reduce the ROM size. One new technique uses more number of hierarchical levels in ROM structures. Another techniques use simple interpolation techniques combined with hierarchical ROM structures. A 12 bit sine wave is generated by using these techniques. Experimental results show that the new proposed techniques can reduce the required ROM size by up to 24%, when compared to that of a resent method[1].

A Study on Vulnerability Analysis and Countermeasure in Barcode Payment System (바코드 지불 결제 시스템 취약점 분석 및 대응방안 연구)

  • Lee, Jae Sik;Lee, Sang Hun;Jun, Moon Seog
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.3
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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.

Storage systems using RLE compression (RLE 압축 기법을 이용한 저장 시스템)

  • Kim, Kyeong-Og;Kim, Jong-Chan;Ban, Kyeong-Jin;Heo, Su-Yeon;Kim, Eung-Kon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.686-688
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    • 2010
  • The supply of context information is increasing with the propagation of ubiquitous computing environment. Recently, as context information is being collected through electronic tags and sensors attached to the environment, we need methods to efficiently store and search large volumes of data. This paper describes the application of the RLE (Run Length Encoding) compression method for sensors that continuously collect data in USN/RFID terminals.Time information is marked on the data and one data block is generated and saved. This paper proposes a storage method that allows us to quickly search data of the desired time and place by recording time information in continuous data.

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Capturing Data from Untapped Sources using Apache Spark for Big Data Analytics (빅데이터 분석을 위해 아파치 스파크를 이용한 원시 데이터 소스에서 데이터 추출)

  • Nichie, Aaron;Koo, Heung-Seo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.7
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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.

Development of Peak Power Demand Forecasting Model for Special-Day using ELM (ELM을 이용한 특수일 최대 전력수요 예측 모델 개발)

  • Ji, Pyeong-Shik;Lim, Jae-Yoon
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.64 no.2
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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.

Management Efficiency Analysis of Local Food Stores in Jeonbuk (전북지역 로컬푸드 직매장의 경영효율성 분석)

  • Jang, Dong-Heon
    • Journal of Korean Society of Rural Planning
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    • v.26 no.2
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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.

Preparation and Characterization of $Pd/CeO_2/Ta/Si$ model catalysts

  • 김도희;우성일
    • Proceedings of the Korean Vacuum Society Conference
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    • 2000.02a
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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.

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A Study on ID-based Authentication Scheme in AMI SmartGird Environment (스마트그리드 AMI환경에서의 ID기반 인증기법에 관한 연구)

  • Kim, Hong-Gi;Lee, Im-Yeong
    • The KIPS Transactions:PartC
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    • v.18C no.6
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    • pp.397-404
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    • 2011
  • Recently the existing one-way electricity system that combines information and communications technology to develop smart grid technology is made active. The core infrastructure of the smart grid, AMI smart meters to AMR system, the amount of power measured at the top to MDMS transmits data store. Smart meters utilizing information and communication technology to transfer data and power because of the existing security threats are expected, including the additional security threats. It exposes the privacy of consumers and industrial systems, such as paralysis is likely to result in the loss. In this paper to respond to these security threats in the environment smart grid. Also, We propose data transfer methods between smartmeter and MDMS and between home device and MDMS.

A Study on the Concept and Clinical Application of "冬不藏精, 春必病溫" ("동부장정(冬不藏精), 춘필병온(春必病溫)"의 개념 및 임상활용에 대한 고찰)

  • Eun, Seok-min
    • Journal of Korean Medical classics
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    • v.32 no.4
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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".

The Affect of Eating Behaviors on Subjective Health in Multicultural Adolescents (다문화청소년의 식생활과 주관적 건강상태)

  • Lee, Jinhwa;Kwon, Min;Nam, Eunjeong
    • Journal of the Korean Society of School Health
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    • v.34 no.1
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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.