• 한국비블리아학회지
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• 제35권1호
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• pp.169-192
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• 2024

본 연구는 지명 전거데이터의 체계적 구축과 표준화 필요성에 따라 지명 전거데이터 기술에 필요한 한국 특성에 맞는 지침을 개발함으로써 국가 전거 고품질화의 기반을 제공하고자 하는 목적으로 수행되었다. 이를 위해 지명전거와 관련된 국내·외 동향 및 사례 조사를 실시하고, 지명 전거 구축을 위한 각국의 규칙과 지침을 분석했다. 이러한 현황 조사 및 규칙 분석을 바탕으로 지명 전거데이터 구축에 필요한 개념 범위와 용어를 정의하고 지명 전거데이터 지침 개발의 방향성을 설정하였다. 또한, 분석 결과, 지침이 포함해야 할 범위, 체계, 기존 규칙의 참조 내용과 방식 등을 결정하였다. 본 연구에서 제안하는 지침의 체계는 Original RDA와 NCR을 기준으로 삼아 설정하였다. 분석 과정에서 도출된 시사점을 중심으로 구축 대상 범위, 우선 지명 선정 및 기록, 이형 지명의 기록, 지명의 속성 등으로 지침을 구성하고 내용을 제시하여 한국 실정에 맞는 지명 전거데이터 기술 지침(안)을 제안하고자 하였으며, 이에 따른 향후 논의사항을 밝혔다.

• The Journal of Asian Finance, Economics and Business
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• 제2권3호
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• pp.5-15
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• 2015

This research paper has been attempted to inventory the atmospheric factors, contributing to better sales. Exploratory study was undertaken to identify various signs of store atmospherics variables that influence the buying behaviour of buyers. Thirty-four variables identified from this study were used to create a structured questionnaire. This questionnaire was then administered among shoppers in NCR Delhi using non-probability convenience sampling. To determine the atmospheric factors, Principal Component Analysis (PCA) along with Varimax Rotation was attempted. Using principal component factor analysis on the data collected, nine factors were identified to have impact on the store atmospheric. These were Querulous, Music, Sensitive, Budget Seeker, Sensuous, Light, Idler, Space seeker and Comfort Seeker. Contrary to the various earlier studies where music, space seeker and comfort seeker were considered to be most significant factors, light and querulous have emerged out to be the major factor that influences the store atmospheric. This study shows that customers are sensitive, space seekers and sensuous. Constituents of these factors reveal distinct patterns. This research may be used as guidelines for development and management of shopping malls in emerging countries. Retail marketers in India can take this cue in designing their strategies to attract consumers.

• 산경연구논집
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• 제8권6호
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• pp.7-16
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• 2017

Purpose - Today's world revolves around search engines which are the driving force behind any marketer. The thirst for marketing has led to the evolution of online 'Pay per click' over last few years and is the most widely used instrument. Research design, data, and methodology - Exploratory research design highlights many marketing variables getting affected by pay per click marketing. To analyze the said phenomenon, the data was gathered through questionnaire from the sample of 338 respondents which were selected by simple random sampling method mostly from the National Capital Region (NCR) of Delhi in India. The data collected from the respondents was loaded on SAS base for exploratory factor analysis and multiple regression analysis. Results - Pay per click as a marketing tool has significant impact on the consumers. The most prominent factors of pay per click marketing identified in the research are Ad quality, Competition, Targeting, Trend and Budget. Conclusions - Organic as well as inorganic ads, keeping in mind the end goal to gage the exchange of these two postings in the marked look territory. Additionally, here we dissected supported pursuit promotions in all. It would be beneficial to break down the impact of promotion position on the pay per click marketing.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2000년도 추계학술발표대회 및 bio-venture fair
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• pp.672-675
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• 2000

E.coli ATCC 33456은 6가 크롬 환원능이 있다고 보고되어진 미생물보다 비교적 높은 활성을 지닌다. E.coli ATCC 33456에서 6가 크롬 환원효소를 클로닝하기 위해서 colony hybridization과 southern hybridization을 통하여 2개의 형질 전환 균주를 획득할 수 있었다. 두 균주 모두 E.coli ATCC 33456이 가진 6가 크롬 환원능보다 약 2.5-4배정도 높은 활성을 보였으며, 두 균주의 조효소액을 가지고 immuno-blotting을 실시한 결과, E.coli ATCC 33456에서 분리 정제된 6가 크롬 환원효소의 항체가 약 42Kda에서 반응하는 것을 확인할 수 있었으며, 이 결과는 분리 정제된 6가 크롬 환원효소와 매우 유사한 유전자 산물이 두 균주에서 나온다는 것을 보여주었다.

• Parasites, Hosts and Diseases
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• 제54권6호
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• pp.813-817
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• 2016

Armillifer agkistrodontis (Ichthyostraca: Pantastomida) is a parasitic pathogen, only reported in China, which can cause a zoonotic disease, pentastomiasis. A complete mitochondrial (mt) genome was 16,521 bp comprising 13 protein-coding genes (PCGs), 22 tRNA genes, 2 rRNA genes, and 1 non-coding region (NCR). A phylogenetic tree drawn with the concatenated amino acid sequences of the 6 conserved PCGs (atp6, cox1-3, and nad2) showed that A. agkistrodontis and Armillifer armillatus constituted a clade Pentastomida which was a sister group of the Branchiura. The complete mt genome sequence of A. agkistrodontis provides important genetic markers for both phylogenetic and epidemiological studies of pentastomids.

• Asian Journal of Business Environment
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• 제7권1호
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• pp.13-23
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• 2017

Purpose - Pleasing ambient colors, music, scent, layout and salespeople are hypothesized to positively impact shoppers' perceptions about the atmosphere of a store. Few studies on the interactive effect of these atmospheric factors have earlier been undertaken. This paper looks at the interactive effect of color on the other predictor variables. Research design, data, and methodology - This study is from field locations in the shopping malls located in Delhi NCR. A descriptive study was undertaken to decipher the interactive effect of color with music, scent, layout and salespeople. Moderation of color on music, scent, layout and salespeople is regressed on store atmospherics. The authors investigate the effects of color, light, music, scent, layout and salespeople on store atmospherics in a retail context. They also study the interactive effect of color with predictor variables which significantly influence the perception of store atmospherics. Results - The paper reveals that music, scent, layout and salespeople influence customer's perception about store atmospherics. The interactive effect of color with scent, layout and sales people influence customer's perception about store atmospherics significantly. It does not moderate with layout and music. Conclusions - Store color is important in predicting store atmospherics. Care is needed to ensure that the effects of different environmental stimuli match.

• 대한조선학회논문집
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• 제48권4호
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• pp.289-298
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• 2011

This paper provides procedures to effectively determine arrangement of hydraulic type top-bracings, which are popular for the main engine of the mid and large sized commercial vessels. Analyzing the operation mechanism of hydraulic top-bracing, ideal unified nonlinear stiffness curve is presented for linear frequency response analysis and nonlinear transient response analysis. Nonlinear stiffnesses of the curve are determined based on the regression analysis of test results. It is noted from linear frequency response analysis, initial setting pressure is most important among the setting values of the other stiffness intervals. From transient response analyses for two top-bracing arrangement scenarios, it is recognized that, as far as initial setting pressure is well controlled for the concerning vessels, only two top-bracings are enough to suppress H-mode excitation forces from main engine.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.33-40
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• 2020

The main aim of the study is to test a house pricing model by combining hedonic and asset-based pricing models. An understanding of the relationship between house pricing and its return (the rental income) helps to establish houses as a significant asset class. The model tested the relationship between house pricing (dependent variable) and the house attributes (independent variables) derived from Freeman's framework of housing attributes. This study uses a large data-set of 1,899 sample of new, high-end houses purchased between 2016 and 2019 collected from the national capital region of India (Delhi-NCR). The algorithm was built in R-Script, and stepwise multiple linear regression was used to analyze the model. The analysis of the model proves that the three significant variables, namely, carpet area, pay-off, and annual maintenance charges explain the price function. Further, the model is statistically fit. The major contribution of the study is to understand the key factors and their influence on the house pricing. The model will be helpful in risk assessment in the housing investment and enhance the chances of investment. Policy-makers can use information about the underlying valuation drivers of the house prices to stabilize the market and also in framing the tax policies.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.507-517
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• 2020

The present research intends to examine the relationship between the Big Five personality traits and leadership initiations among the marketing executives in Delhi NCR (INDIA), and seeks to uncover the predictors of leadership initiations within personality traits. The data are collected through online survey method using different social media platforms. A sample of 233 (male =136 and female =97) marketing executive's responses were included. The data collected with the help of self-reported Big Five model inventory and leadership initiation test. The collected data were analyzed statistically by using descriptive statistics, correlation. and stepwise multiple regression analysis. The results revealed that the age of respondents inversely correlated with leadership initiation. Neuroticism revealed significant inverse correlation with leadership initiation, whereas significant positive correlations were found between extraversion, conscientiousness, agreeableness, and leadership initiations, while openness to experience revealed insignificant positive correlation with leadership initiation. Extraversion and conscientiousness appeared as the most dominant personality traits among marketing executives, irrespective of gender, that positively influenced leadership initiation and appeared as the predictor of leadership initiation. In male executives extraversion and age emerged as the predictors of leadership behavior, while in female executives extraversion and openness to experience personality traits appeared as the predictors of leadership initiation.

• Nuclear Engineering and Technology
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• 제53권4호
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• pp.1167-1175
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• 2021

The process of automation and monitoring in industrial control system involves the use of many types of sensors. A programmable logic controller plays an important role in the automation of the different processes in the power plant system. The major control units are boiler for temperature and pressure, turbine for speed of motor, generator for voltage, conveyer belt for fuel. The power plant units are controlled using microcontrollers and PLCs, but FPGA can be the feasible solution. The paper focused on the design and simulation of hardware chip to monitor boiler, turbine, generator and conveyer belt. The hardware chip of the plant is designed in Xilinx Vivado Simulator 17.4 software using VHDL programming. The methodology includes VHDL code design, simulation, verification and testing on Virtex-5 FPGA hardware. The system has four independent buzzers used to indicate the status of the boiler, generator, turbine motor and conveyer belt in on/off conditions respectively. The GSM is used to display corresponding message on the mobile to know the status of the device in on/off condition. The system is very much helpful for the industries working on plant automation with FPGA hardware integration.