• 제목/요약/키워드: Indian model

검색결과 400건 처리시간 0.02초

Effects of Geography, Weather Variability, and Climate Change on Potato Model Uncertainty

  • Fleisher, D.H.;Condori, B.;Quiroz, R.;Alva, A.;Asseng, S.;Barreda, C.;Bindi, M.;Boote, K.J.;Ferrise, R.;Franke, A.C.;Govindakrishnan, P.M.;Harahagazwe, D.;Hoogenboom, G.;Naresh Kumar, S.;Merante, P.;Nendel, C.;Olesen, J.E.;Parker, P.S.;Raes, D.;Raymundo, R.;Ruane, A.C.;Stockle, C.;Supit, I.;Vanuytrecht, E.;Wolf, J.;Woli, P.
    • 한국농림기상학회:학술대회논문집
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    • 한국농림기상학회 2016년도 추계 학술발표논문집
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    • pp.41-43
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    • 2016
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Characterising the dynamic seals used in absorber rod drive mechanisms in Indian FBR

  • Kaushal, Nihal;Patri, Sudheer;Kumar, R. Suresh;Meikandamurthy, C.;Sreedhar, B.K.;Murugan, S.;Raghupathy, S.
    • Nuclear Engineering and Technology
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    • 제53권10호
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    • pp.3438-3448
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    • 2021
  • Dynamic seals are one of the critical components of Absorber Rod Drive Mechanism of Fast Breeder Reactors, requiring separate experimental development. Their significance can't be overemphasized considering that the availability and re-usability of Control Rod Drive Mechanisms of Fast Breeder Test Reactor is governed by the failure rate of dynamic seals (bellows). For prototype and subsequent Fast Breeder Reactors in India, choice of the dynamic seal is changed to an in-house designed & developed labyrinth type V-ring seal. The present work is related to the numerical investigations carried out to gain insights into the sealing mechanism and the thermal behaviour of these seals. The results indicate that the seal geometry is very important for obtaining optimum performance. By changing the geometry of the present seal, performance enhancement by more than 50% in important indices is obtained. Further, the results point out that caution shall be exercised when the seal material & its operating temperature are changed. Also, the numerical model developed in this study will be useful for developing more robust dynamic seals in future.

Time Lost forever: Relational bonds of watch manufacturers with retailers in India

  • AMAWATE, Vibhas
    • 유통과학연구
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    • 제19권5호
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    • pp.23-34
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    • 2021
  • Purpose: This study identifies the critical elements of relationship management required to be studied in distribution sciences to create a relational bond of watch manufacturers with their retailers in India. The offline watch retail market is undergoing a rapid transformation due to technology intervention in the product portfolio and the advent of online retailing. The study identifies the interrelationships amongst the constructs of interdependence, trust, affective commitment, and information exchange to form long-lasting relational bonds in the watch industry. Research design, data and methodology: We used a path analysis to investigate the relationship between interdependence, trust, affective commitment, and information exchange. Data has been collected from 143 watch retailers using judgmental sampling method. Results: The data analysis suggested the establishment of measurement and structural model. The absolute and relative goodness of fit models in the causal analysis are 0.628 and 0.959 suggesting a sufficient fit index. Based on the analysis of direct and indirect effects, the results indicate that trust fully mediates the effect of interdependence and information exchange of retailers with the manufacturer. Conclusions: Trust plays an important role in driving commitment and information exchange between watch manufacturers and retailers. Interdependence in the manufacturer-channel relationships would lead to affective commitment only when trust exists in the relationship. [AMAWATE, Vibhas.] in Web of Science and Scopus).

열대 해수면 온도 분포와 북서태평양 태풍의 계절적 활동 시작일 변동 사이의 관련성 (Relationship between the Tropical Sea Surface Temperature Distribution and Initiation Timing of the Typhoon Season in the Northwestern Pacific)

  • 김동희;김형석
    • 한국기후변화학회지
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    • 제8권1호
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    • pp.11-19
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    • 2017
  • This study examined the relationship between the initiation timing typhoon season in the Northwestern Pacific and the tropical sea surface temperature (SST) using a numerical simulation. The initiation timing of the typhoon season is closely associated with SSTs over the Indian Ocean (IO) and the eastern Pacific (EP) in the preceding winter and early-spring. The experiment based on the Weather and Research Forecast (WRF) model showed that the start date of the typhoon season is delayed for about one month when the SSTs over the IO and the EP increase in the preceding winter. The forced tropical SST pattern induces anticyclonic anomalies in the Northwestern Pacific, which is an unfavorable condition for typhoon development, and hence it could delay the initiation of the typhoon season.

Does Technological Progress, Trade, or Financial Globalization Stimulate Income Inequality in India?

  • GIRI, Arun Kumar;PANDEY, Rajan;MOHAPATRA, Geetilaxmi
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.111-122
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    • 2021
  • The main purpose of the present research is to analyze the effects of trade, financial globalization, and technological progress on income inequality in the Indian economy over the period from 1982 to 2018. For this purpose, the study uses economic growth, financial globalization, trade openness, technological development, and economic inequality variables with appropriate proxies. The study employs the Auto Regressive Distributed Lag (ARDL) approach to co-integration and VECM based Granger causality approach to estimate both the short-run and long-run relationship and causality among variables. Using the ARDL bounds test, the study finds a long-run co-integrating relationship existing among the variables in the model. The study confirms the existence of a positive and significant impact of technological progress on income inequality. Further, globalization's limited impact reflects two offsetting tendencies; trade globalization is associated with a reduction in income inequality, while financial globalization is related to an increase in inequality. The results of VECM based Granger causality approach further confirm that technological progress, trade, and financial globalization causes income inequality both directly and indirectly through economic growth and inflation. In case of India, the results of this research can significantly facilitate stakeholders and policymakers in devising policies towards effective globalization and technological innovation for inclusive growth.

Wind flow modification by a jet roof for mitigation of snow cornice formation

  • Kumar, Ganesh;Gairola, Ajay;Vaid, Aditya
    • Wind and Structures
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    • 제32권2호
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    • pp.115-126
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    • 2021
  • The snow cornice mass on the formation zone had triggered avalanches which led to the loss of human life and property. Snow cornice is formed due to flow separation on the leeward side. Effect of lee slope is more prominent in the formation of snow cornices as compared to the windward slope. The analysis of wind flow pattern has been carried out to evaluate the performance of a jet roof. Computational Fluid Dynamics (CFD) analysis of wind flow over a 2D hill model was carried out using RNG based k-∈ turbulence models available in ANSYS Fluent. Effect of varying leeward hill slope (1:2 to 1:6) on flow separation for the given windward slope was observed and a critical slope of 1:4 was found at which the separation zone ceased to exist. The modification of wind flow over a hill due to the installation of jet roof was simulated. It was observed that jet roof had significantly modified the wind flow pattern around hill ridgeline and ultimately snow cornice formation had mitigated. The results of the wind flow pattern were validated with the wind data collected at the experimental site, Banihal Top (Jammu and Kashmir, India). The wind flow simulation over the hill and mitigation of cornice formation by the jet roof has been explained in the present paper.

Relevancy contemplation in medical data analytics and ranking of feature selection algorithms

  • P. Antony Seba;J. V. Bibal Benifa
    • ETRI Journal
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    • 제45권3호
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    • pp.448-461
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    • 2023
  • This article performs a detailed data scrutiny on a chronic kidney disease (CKD) dataset to select efficient instances and relevant features. Data relevancy is investigated using feature extraction, hybrid outlier detection, and handling of missing values. Data instances that do not influence the target are removed using data envelopment analysis to enable reduction of rows. Column reduction is achieved by ranking the attributes through feature selection methodologies, namely, extra-trees classifier, recursive feature elimination, chi-squared test, analysis of variance, and mutual information. These methodologies are ranked via Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) using weight optimization to identify the optimal features for model building from the CKD dataset to facilitate better prediction while diagnosing the severity of the disease. An efficient hybrid ensemble and novel similarity-based classifiers are built using the pruned dataset, and the results are thereafter compared with random forest, AdaBoost, naive Bayes, k-nearest neighbors, and support vector machines. The hybrid ensemble classifier yields a better prediction accuracy of 98.31% for the features selected by extra tree classifier (ETC), which is ranked as the best by TOPSIS.

Hyperspectral Image Classification using EfficientNet-B4 with Search and Rescue Operation Algorithm

  • S.Srinivasan;K.Rajakumar
    • International Journal of Computer Science & Network Security
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    • 제23권12호
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    • pp.213-219
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    • 2023
  • In recent years, popularity of deep learning (DL) is increased due to its ability to extract features from Hyperspectral images. A lack of discrimination power in the features produced by traditional machine learning algorithms has resulted in poor classification results. It's also a study topic to find out how to get excellent classification results with limited samples without getting overfitting issues in hyperspectral images (HSIs). These issues can be addressed by utilising a new learning network structure developed in this study.EfficientNet-B4-Based Convolutional network (EN-B4), which is why it is critical to maintain a constant ratio between the dimensions of network resolution, width, and depth in order to achieve a balance. The weight of the proposed model is optimized by Search and Rescue Operations (SRO), which is inspired by the explorations carried out by humans during search and rescue processes. Tests were conducted on two datasets to verify the efficacy of EN-B4, with Indian Pines (IP) and the University of Pavia (UP) dataset. Experiments show that EN-B4 outperforms other state-of-the-art approaches in terms of classification accuracy.

공간모형을 통한 FTA의 다각화가 양자무역에 미치는 영향 분석 (The Effects of FTA Diversification on Bilateral Trade in the Spatial Model)

  • 이순철
    • 국제지역연구
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    • 제20권1호
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    • pp.53-78
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    • 2016
  • 본고는 2003~2013년 기간 동안 62개 국가를 대상으로 양국간 FTA와 자국 및 무역상대국의 다양한 FTA체결 확산이 양자간 무역에 미치는 영향을 중력모형과 공간모형을 이용하여 분석하였다. 본고는 먼저 중력모형과 공간모형을 이용하여 양국이 체결한 FTA가 양자간의 무역 및 수출입에 미치는 영향과 동시에 모형 적용의 적절성을 분석하였다. 그 다음으로 공간모형만을 이용하여 양국간의 FTA를 통제한 상태에서 자국 및 무역상대국이 체결한 FTA가 양자간의 무역에는 어떤 영향을 미치는지를 분석하였다. 분석결과를 정리하면 다음과 같다. 첫째, 양자간의 FTA가 무역에 미치는 영향을 분석할 때에는 중력모형보다는 공간회귀모형을 이용하는 것이 더 적절하다. 이는 양자간 무역에서 공간적 파급효과가 중요하다는 것을 의미한다. 둘째, 이미 많은 연구들이 증거를 제시하였듯이 양국간에 체결한 FTA는 FTA 회원국의 양자간 무역을 확대시키는 역할을 한다. 셋째, 자국 및 무역 상대국이 FTA를 많이 체결할수록 양자간의 무역은 증가한다. 넷째, 양자간에 FTA를 체결한 상태에서 자국 및 무역상대국이 FTA를 많이 체결할 경우 무역 다각화 또는 무역전환효과의 발생으로 인하여 양자간의 무역이 감소한다. 결론적으로 본고는 FTA 정책의 추진에 있어서 무역 자체의 확대 및 무역의 다각적 확대를 위해서는 FTA를 가능한 많이 체결해야 하겠지만, 그 만큼 기존에 체결한 FTA의 효과는 반감되기 때문에 새로운 FTA를 체결할 경우 정치적 이유가 아니라면 상대적으로 시장이 큰 국가와 추진하는 것이 유리하다는 정책적 시사점으로 제시하고 있다.

남인도양의 해수면 변화 특성 (Characteristics on sea level variations in the South Indian Ocean)

  • 윤홍주
    • 한국정보통신학회논문지
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    • 제5권6호
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    • pp.1094-1103
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    • 2001
  • 남인도양의 암스테르담- 크호제트- 케르겔른 지역에서의 Topex/Poseidon의 고도계 자료와 Tide Gauge의 해면계 자료를 상호 비교 및 검정하였다. 8개 주요 조석성분들의 진폭의 변통성과 관련하여 해양조석모델의 결과와 조화분해해석의 결과간의 미소한 차이는 궁극적으로 수온, 밀도 및 바람보다는 주로 남극순환해류의 흐름에 영향을 받다. 두 자료간의 상관관계(correlation coefficient)와 편차(rms)를 보면, 암스테르담 대지지역에서는 c=-0.12 및 rms=11.40cm, 크호제트 대지지역에서는 c=0.05 및 rms=5.38cm, 케르겔른 대지지역에서는 c=0.83 및 rms=2.83cm로 그리고 케르겔른 해안지역에서는 c=0.24 및 rms=6.72cm로 각각 나타났다. 이 중 케르겔른 대지지역이의 높은 상관성은 해안지역으로부터 멀어질수록 정도 높은 고도계의 자료를 획득할 수 있다는 것을 의미한다. 케르겔른 해안지역과 케르겔른 대지지역의 해수면의 변화의 특성은 2일 상의 장주기에 대해서는 상호 높은 상관성과 함께 유사한 해수면의 변화를 가진다. 케르겔른 대지지역 내에서는 유속이 -3.9~-4.2cm/sec이고 주기가 167days 그리고 진폭이 10cm인 바로크리닉 로쓰비파가 서쪽으로 전파한다.

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