• The Journal of Asian Finance, Economics and Business
• /
• 제8권2호
• /
• pp.273-280
• /
• 2021

Financial behavior and financial well-being are two closely related aspects of an individual's financial decision making. This study attempts to investigate the extent to which financial behavior influences financial well-being in the Indian scenario. The data is collected using a structured questionnaire from a sample of 150 respondents. The study employs Financial Management Behaviour Scale (FMBS) (Dew & Xiao, 2012) to measure financial behavior. Factor analysis and multiple regression are performed to find the influence of financial behavior on financial well-being. The findings of the study suggest that except for credit commitment all the other behavioral factors like future security, savings and investments, credit indiscipline, and financial consciousness have a significant impact on the financial well-being of an individual in the Indian scenario. The regression coefficients of financial well-being are strongly determined by financial consciousness. The study is a contribution to the existing behavioral studies literature and the model used identifies the factors that influence the financial well-being in the Indian scenario. The study is conducted during the year 2020, so the results could have been influenced by the economic scenario of the period. The results of the study can be used by financial advisors to understand the financial well-being in the Indian scenario.

• 무역학회지
• /
• 제47권3호
• /
• pp.157-175
• /
• 2022

This study calculates agglomeration indices of manufacturing specialization and diversification in different regions of South Korea. Two types of agglomeration indices are introduced into the spatial durbin model (SDM) to analyzes the effects of manufacturing agglomeration in Korea on CO₂ emission intensity. The subjects of this study are 17 regions of South Korea , and the research period is from 2013 to 2019. This study also uses partial differential to analyze the direct and spillover effect of specialization and diversification agglomeration on CO₂ emission intensity. From the perspective of direct effect, the results reveal that specialization agglomeration is an important factor contributing to Korea's CO₂ emissions. However, diversification agglomeration has an obvious CO₂ emission reduction effect. From the perspective of spillover effect, this study finds that specialization agglomeration in one region can also contribute to CO₂ emissions in nearby regions. However, the development of diversification agglomeration in one region can have CO₂ emission reduction spillover effect on neighboring regions.

• 대한전자공학회논문지SD
• /
• 제46권9호
• /
• pp.74-80
• /
• 2009

본 논문은 싱글의 LC-탱크 전압제어발진기(VCO)를 사용한 $2{\sim}6GHz$의 CMOS 주파수 합성기에 관하여 기술하였다. 광대역에서 동작하는 주파수 합성기 설계를 위해 최적화된 로컬발진기(LO) 신호 발생기를 사용하였다. LO 신호 발생기는 LC-탱크 VCO와 이 신호를 분주하고 혼합하는 방법으로 광대역의 주파수에서 동작하도륵 구현하였다. 주파수 합성기는 3차 1-1-1 MASH 타입의 시그마-델타 모듈레이터(SDM)를 사용한 소수 분주 위상잠금루프(PLL)에 기초로 설계되었다. 제안한 주파수 합성기는 $0.18{\mu}m$ CMOS 공정기술을 사용하여 설계하였고, off-chip 루프 필터를 가지고 $0.92mm^2$의 칩 면적을 차지하며, 1.8V 전원에서 36mW 이하의 전력을 소모한다. PLL은 $8{\mu}s$보다 적은 시간에서 록킹을 완료한다. 위상 잡음은 중심 주파수 신호로부터 1MHz 오프셋에서 -110dBc/Hz보다 작다.

• 지질공학
• /
• 제28권2호
• /
• pp.259-266
• /
• 2018

백두산 분화시 북풍 또는 북동풍이 발달하게 되면 국내에 화산재가 확산될 가능성이 있으며, 화산재에 의해 민감한 영향을 받는 상수도 시설의 관리기준이 필요하다. 본 연구에서는 국내 상수도 시설의 관리기준 수립을 위해 국외의 다양한 화산에 대해 분야별 피해사례를 조사하였으며, 이를 바탕으로 상수도 시설의 피해 요인을 퇴적, 흡착/침착, 마모로 나누어 예상되는 피해 정도를 유형화하였다. 또한 위험평가 결과를 바탕으로 화산재 퇴적 두께에 따라 상수도 시설의 관리 단계를 4단계로 도출하였으며, 0~1 mm은 VAD(Volcanic Ash Degree) I, 1~3 mm는 VAD II, 3~5 mm는 VAD III, 5 mm 이상은 VAD IV로 제시하였다. 최종적으로 도출된 관리 단계별 경보 기준, 화산재 영향, 피해 대응 절차 및 방안 등으로 구성된 상수도 시설 관리 기준(안)을 제시하였다.

• 대한의용생체공학회:의공학회지
• /
• 제28권3호
• /
• pp.429-440
• /
• 2007

A coded excitation has been studied to improve the performance for ultrasound imaging in term of SNR, imaging frame rate, contrast to tissue ratio, and so forth. However, it requires a complicated arbitrary waveform transmitter for each active channel that is typically composed of a multi-bit Digital-to-Analog Converter (DAC) and a linear power amplifier (LPA). Not only does the LPA increase the cost and size of a transmitter block, but it consumes much power, increasing the system complexity further and causing a heating-up problem. This paper proposes an optimized 1.5bit fourth order sigma-delta modulation technique applicable to design an efficient arbitrary waveform generator with greatly reduced power dissipation and hardware. The proposed SDM can provide a required SQNR with a low over-sampling ratio of 4. To this end, the loop coefficients are optimized to minimize the quantization noise power in signal band while maintaining system stability. In addition, the decision level for the 1.5 bit quantizer is optimized for a given input waveform, which results in the SQNR improvement of more than 5dB. Computer simulation results show that the SQNR of a FM(frequency modulated) signal generated by using the proposed method is about 26dB, and the peak side-lobe level (PSL) of its compressed waveform on receive is -48dB.

• 한국환경복원기술학회지
• /
• 제19권6호
• /
• pp.19-30
• /
• 2016

The projection of climate-related range shift is critical information for conservation planning of Korean fir (Abies koreana E. H. Wilson). We first modeled the distribution of Korean fir under current climate condition using five single-model species distribution models (SDMs) and the pre-evaluation weighted ensemble method and then predicted the distributions under future climate conditions projected with HadGEM2-AO under four $CO_2$ emission scenarios, the Representative Concentration Pathways (RCP) 2.6, 4.5, 6.0 and 8.5. We also investigated the predictive uncertainty stemming from five individual algorithms and four $CO_2$ emission scenarios for better interpretation of SDM projections. Five individual algorithms were Generalized linear model (GLM), Generalized additive model (GAM), Multivariate adaptive regression splines (MARS), Generalized boosted model (GBM) and Random forest (RF). The results showed high variations of model performances among individual SDMs and the wide range of diverging predictions of future distributions of Korean fir in response to RCPs. The ensemble model presented the highest predictive accuracy (TSS = 0.97, AUC = 0.99) and predicted that the climate habitat suitability of Korean fir would increase under climate changes. Accordingly, the fir distribution could expand under future climate conditions. Increasing precipitation may account for increases in the distribution of Korean fir. Increasing precipitation compensates the negative effects of increasing temperature. However, the future distribution of Korean fir is also affected by other ecological processes, such as interactions with co-existing species, adaptation and dispersal limitation, and other environmental factors, such as extreme weather events and land-use changes. Therefore, we need further ecological research and to develop mechanistic and process-based distribution models for improving the predictive accuracy.

• Nuclear Engineering and Technology
• /
• 제38권6호
• /
• pp.575-584
• /
• 2006

As the development of total management systems for sites along with site environmental information is becoming standard, the system known as the Site Information and Total Environmental database management System (SITES) has been developed over the last two years. The first result was a database management system for storing data obtained from facilities, and a site characterization in addition to an environmental assessment of a site. The SITES database is designed to be effective and practical for use with facility management and safety assessment in relation to Geographic Information Systems. SITES is a total management program, which includes its database, its data analysis system required for site characterization, a safety assessment modeling system and an environment monitoring system. It can contribute to the institutional management of the facility and to its safety reassessment. SITES is composed of two main modules: the SITES Database module (SDM) and the Monitoring & Assessment (M&A) module [1]. The M&A module is subdivided into two sub-modules: the Safety Assessment System (SAS) and the Site Environmental Monitoring System (SEMS). SAS controls the data (input and output) from the SITES DB for the site safety assessment, whereas SEMS controls the data obtained from the records of the measuring sensors and facilities. The on-line site and environmental monitoring data is managed in SEMS. The present paper introduces the procedure and function of the M&A modules.

• 한국환경복원기술학회지
• /
• 제18권1호
• /
• pp.103-113
• /
• 2015

Korean pines(Pinus koraiensis) are one of the major plantation species in the Republic of Korea and their natural habitats range from Japan and China to Siberia. The seed of Korean pines, pine nuts, are well know for good food reserves. Due to the global changes which drive the Korean peninsula into the semi-tropical climate, current plantations and natural habitats of Korean pines are faced with the change in the environmental conditions to some extent. To anticipate suitable sites for Korean pines in the future, the location of Korean pines were extracted from the 'Map of suitable trees on a site' that provides the map of suitable trees on a site considering tree species for timber and special uses, and then MaxEnt modelling was used for generating a prediction map on the basis of statistical analysis. As a result, the order of predicted suitable sites were Kangwon-do, Kyungsangbuk-do and Chungcheongbuk-do provinces and sites with high elevation within those provinces were considered most suitable in common. The prediction map of suitable sites for Korean pines presented that suitable sites in the future decreased by 72.2% by 2050's and almost disappeared with a decrease of 92.1% by 2070's on a nationwide scale. In relation to the major production regions of pine nuts in South Korea - Gapyung gun and Yangpyung gun, Kyunggi province and Hongcheon gun, Kangwon province, suitable sites within their areas were predicted to increase by 2050's but become extinct in South Korea by 2070's. To establish a long-term countermeasures against the improvement on forest productivity quality in terms of managing national food security, the result from this study can be considered as a firm basis of predicting plantation suitability. Also, it can be used to predict the changes in supply of forest products and thereby market values in accordance with climate change scenarios.

• 한국소음진동공학회논문집
• /
• 제16권9호
• /
• pp.897-903
• /
• 2006

The reduction of the vehicle interior noise has been the main interest of noise and vibration harshness (NVH) engineers. The driver's perception on the vehicle noise is affected largely by psychoacoustic characteristic of the noise as well as the SPL. In particular, the heating, ventilation and air conditioning (HVAC) system sound among the vehicle interior noise has been reflected sensitively in psychoacoustics view point. Even though the HVAC noise is not louder than overall noise level, it clearly affects subjective perception to drivers in the way of making to be nervous or annoyed. Therefore, these days a vehicle engineer takes aim at developing sound quality as well as reduction of noise. In this paper, we acquired noises in the HVAC from many vehicles. Through the objective and subjective sound quality (SQ) evaluation with acquiring noises recorded by the vehicle HVAC system, the simple and multiple regression models were obtained for the subjective evaluation 'Pleasant' using the semantic differential method (SDM). The regression procedure also allows you to produce diagnostic statistics to evaluate the regression estimates including appropriation and accuracy. Furthermore, the neural network (NN) model were obtained using three inputs(loudness, sharpness and roughness) of the SQ metrics and one output(subjective 'Pleasant'). Because human's perception is very complex and hard to estimate their pattern, we used NN model. The estimated models were compared with correlations between output indexes of SQ and hearing test results for verification data 'Pleasant'. As a result of application of the SQ indexes, the NN model was shown with the largest correlation of SQ indexes and we found possibilities to predict the SQ metrics.

• 전기전자학회논문지
• /
• 제19권1호
• /
• pp.87-93
• /
• 2015

본 논문에서는 디지털 패스가 없는 연산증폭기 공유 기법을 이용한 $145{\mu}W$, 87dB SNR을 갖는 저전력 3차 Sigma-Delta 변조기를 제안한다. 기존 구조는 아날로그와 디지털 패스를 사용한 구조로 첫 번째 적분기의 계수가 작다는 단점을 지연된 피드포워드 패스를 추가하여 개선하였다. 제안한 구조는 디지털 패스를 제거하여 첫 번째 적분기의 계수를 크게 하였고 연상증폭기 공유 기법을 이용하여 전력소모가 기준 구조보다 적다. 전원전압 1.8V, 신호대역폭 20KHz, 샘플링 주파수 2.8224MHz 조건에서 $0.18{\mu}m$ CMOS 공정을 이용하여 제안한 구조의 시뮬레이션한 결과, SNR(Signal to Noise Ratio)은 87dB, 전력소비는 $145{\mu}W$이다.