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Journal articles on the topic 'Vector exporting useful results'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

Karacan, Rıdvan, Shahriyar Mukhtarov, İsmail Barış, Aykut İşleyen, and Mehmet Emin Yardımcı. "The Impact of Oil Price on Transition toward Renewable Energy Consumption? Evidence from Russia." Energies 14, no. 10 (2021): 2947. http://dx.doi.org/10.3390/en14102947.

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This research investigates the impact of oil price, income and carbon dioxide emissions on renewable energy consumption in Russia for the data period from 1990 to 2015, using the Vector Error Correction Models and the Canonical Cointegrating Regression method. This article is the only study conducting individual time-series analysis that emphasizes the effect of oil price on renewable energy consumption in the case of Russia. The results of empirical analysis conclude that oil price affects renewable energy consumption negatively. The negative oil price effects on renewable energy use can be i
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Muhammad, Andrew, and Constanza Valdes. "Export Tax Reform and the Competitiveness of Imported Soybeans in China." Journal of Agricultural and Applied Economics 51, no. 3 (2019): 511–25. http://dx.doi.org/10.1017/aae.2019.15.

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AbstractExport tax reform in Argentina could improve its competitiveness in China’s soybean market, displacing exports from competing countries like Brazil and the United States. We examined the factors that determine China’s demand for imported soybean products and how export taxes could affect exporting countries. Using import demand and vector autoregression estimates, we conducted simulations of China’s import demand assuming the elimination of export taxes in Argentina. Results indicated that Argentine soybean products could realize gains in the Chinese market, but only in the short run.
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Katsampoxakis, Ioannis, Apostolos Christopoulos, Petros Kalantonis, and Vasileios Nastas. "Crude Oil Price Shocks and European Stock Markets during the COVID-19 Period." Energies 15, no. 11 (2022): 4090. http://dx.doi.org/10.3390/en15114090.

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This paper investigates the interrelations between stock returns and crude oil prices for European oil-importing/exporting countries. A vector autoregression (VAR) model is applied to estimate the significance of stock market responses to changes in oil prices during the pandemic period 2019–2021. A Granger causality test is applied to find the direction and the intensity of the relation between crude oil and the indices of the European stock markets. The findings of this paper hold with or without the COVID-19 pandemic episode and reveal the interaction between the European stock markets and
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Svanidze, Miranda, and Ivan Đurić. "Global Wheat Market Dynamics: What Is the Role of the EU and the Black Sea Wheat Exporters?" Agriculture 11, no. 8 (2021): 799. http://dx.doi.org/10.3390/agriculture11080799.

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Over the last two decades, three countries in the Black Sea Region—Russia, Ukraine, and Kazakhstan—became global leaders in grain production and trade, and replaced the USA and France as the most previous largest wheat exporting countries. In this study we investigate world wheat price linkages and identify the current “price leaders” of the global wheat market. This empirical analysis is focused on the price relationships between eight of the largest wheat exporting countries and uses a cointegration framework and a vector error-correction model. The results show that, regarding price formati
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Zaman, Nabila. "Do Oil Price Shocks Affect Household Consumption?" Research in Applied Economics 11, no. 1 (2019): 9. http://dx.doi.org/10.5296/rae.v11i1.13826.

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The paper addresses whether international oil price change has any impact on consumer spending. The study is conducted using Organisation for Economic Co-operation and Development nations, which have been chosen deliberately based on their economic importance and classifying each into oil importing and exporting countries: Canada, Germany, the UK and the USA. Applying the empirical methodology of the vector autoregressive model, we find evidence that international oil price shocks have a significant impact on consumer spending. The analysis is performed with two sets of specification for oil (
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O. Maldifassi, José, and Javier Chacón Caorsi. "Export success factors of small- and medium-sized firms in Chile." Journal of Small Business and Enterprise Development 21, no. 3 (2014): 450–69. http://dx.doi.org/10.1108/jsbed-03-2014-0053.

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Purpose – The purpose of this paper is to identify the factors that could help differentiate between successful and unsuccessful small- and medium-sized exporter firms. Design/methodology/approach – A causal model of the exporting process was developed from the literature, from which a set of hypotheses was posed and a questionnaire was made. A sample of 37 small and medium exporter firms in Chile was subject to the questionnaire. From the data collected, the critical aspects that could help differentiate between successful and unsuccessful exporting organizations were statistically identified
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Lee, Eun-Jae, Seo-Young Lee, and Yun-Kwan Lee. "A Study on the Impact of the Export-Import Bank of Korea's Official Export Finance Support on Exports." Korea International Trade Research Institute 19, no. 3 (2023): 263–76. http://dx.doi.org/10.16980/jitc.19.3.202306.263.

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Purpose – The purpose of this study is to analyze the impact of official export finance supported by the Export-Import Bank of Korea on Korea's exports. In particular, in order to differentiate from previous studies, the detailed size, as well as the long-term and short-term effects of export financing support on exports, were analyzed. Design/Methodology/Approach – In this analysis, an Export Demand Function Model was introduced. Prior to the empirical analysis, a unit root test and cointegration test were conducted. As a result of the pretest, it was found that the variables included in the
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Kefelegn, Ermyas. "Determinants of livestock products export in Ethiopia." Statistics in Transition new series 24, no. 2 (2023): 129–40. http://dx.doi.org/10.59170/stattrans-2023-024.

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Ethiopia has one of the largest livestock populations in Africa. In 2016–2017, the share of live animals, leather, and meat in the total export of the country reached 9.6%. This paper aims to identify the determinants of the export of Ethiopian livestock products by means of vector autoregressive and vector error correction models. Multivariate time series is used to model the association between the products of the Ethiopian livestock export included in the study. Vector autoregressive and vector error correction models are used for modelling and inference. The results indicated the existence
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9

Xie, W., N. P. Kuznetsova, and N. K. Toan. "Role of Export Credit Insurance and the Development of Russian Export Trade." Finance: Theory and Practice 27, no. 1 (2023): 174–84. http://dx.doi.org/10.26794/2587-5671-2023-27-1-174-184.

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Since the Russian Agency for Export Credit and Investment Insurance (EXIAR) was established in 2011, only a few scientists have bothered to substantiate of the Agency’s economic policy. The aim of the paper is to investigate the role of EXIAR economic policy in promoting the growth of Russia’s export trade. The current study conducts methods such as statistical, comparative and empirical analysis of panel data on the basis of econometric models. The results of the research suggest that export credit insurance can be useful for the development of Russian export trade, especially for exports to
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WANG, Xiaoting, Aihua CHEN, Huafeng WANG, and Shengxiao LI. "EFFECT OF EXPORT PROMOTION PROGRAMS ON EXPORT PERFORMANCE: EVIDENCE FROM MANUFACTURING SMES." Journal of Business Economics and Management 18, no. 1 (2017): 131–45. http://dx.doi.org/10.3846/16111699.2016.1278031.

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The objective of this paper is to examine how a firm’s participation in government export promotion programs (epps) may lead to a better export performance. Based on dynamic capabilities perspective, a mediated moderation model of epps on export performance was proposed and tested in Chinese manufacturing smes. The results show marketing implementation capabilities mediate the effect of information-related programs on export performance, and the financial aid-related epps moderate the process. The results contribute to the studies relating epps and export performance, as the results confirm th
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Sadiq, M. S., I. P. Singh, and M. M. Ahmad. "HORIZONTAL MARKET INTEGRATION OF RUBBER AMONG SOME SELECTED MAJOR EXPORTING DEVELOPING COUNTRIES IN THE WORLD." Pakistan Journal of Agriculture, Agricultural Engineering and Veterinary Sciences 38, no. 1 (2022): 71–82. http://dx.doi.org/10.47432/2022.38.1.10.

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The research determined the horizontal market integration among the spatial major exporters of rubber viz. Ivory Coast, Indonesia, Philippines and Thailand in the world. Time series data from the FAO and UNCTAD data repositories that covered 51 years period (1966-2017) were utilized. The data were analyzed using descriptive and inferential statistics such as the unit root test, Johansen co-integration test and, restricted vector autoregressive (VAR) test. The empirical evidence showed presence of passive horizontal integration among the spatially separated markets. Compliance with the WTO poli
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Schölkopf, Bernhard, Alex J. Smola, Robert C. Williamson, and Peter L. Bartlett. "New Support Vector Algorithms." Neural Computation 12, no. 5 (2000): 1207–45. http://dx.doi.org/10.1162/089976600300015565.

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We propose a new class of support vector algorithms for regression and classification. In these algorithms, a parameter ν lets one effectively control the number of support vectors. While this can be useful in its own right, the parameterization has the additional benefit of enabling us to eliminate one of the other free parameters of the algorithm: the accuracy parameter ε in the regression case, and the regularization constant C in the classification case. We describe the algorithms, give some theoretical results concerning the meaning and the choice of ν, and report experimental results.
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Mukhtarov, Shahriyar, Sugra Humbatova, Mubariz Mammadli, and Natig Gadim‒Oglu Hajiyev. "The Impact of Oil Price Shocks on National Income: Evidence from Azerbaijan." Energies 14, no. 6 (2021): 1695. http://dx.doi.org/10.3390/en14061695.

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This study investigates the influence of oil price shocks on GDP per capita, exchange rate, and total trade turnover in Azerbaijan using the Structural Vector Autoregressive (SVAR) method to data collected from 1992 to 2019. The estimation results of the SVAR method conclude that oil price shocks (rise in oil prices) affect GDP per capita and total trade turnover positively, whereas its influence on the exchange rate is negative in the case of Azerbaijan. According to results of this study, Azerbaijan and similar oil-exporting countries should reduce the dependence of GDP per capita, the excha
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Hasiner, Eva, and Xiaohua Yu. "When institutions matter: a gravity model for Chinese meat imports." International Journal of Emerging Markets 14, no. 1 (2019): 231–53. http://dx.doi.org/10.1108/ijoem-11-2016-0290.

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Purpose In international trade differences in political and legal systems confront trading partners with relatively greater information asymmetry and contract enforcement problems than in domestic trade, resulting in higher transaction costs. Nevertheless, well-functioning institutions in the exporting country could prove beneficial for the agricultural importer, as institutions generally establish food and product regulations and ensure that they are enforced and serve as a last resort for dispute resolution and contract enforcement. Given China’s increasingly stricter control of its food sup
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Zou, Lin, Baoyi Wen, Yiying Wei, Yong Zhang, Jie Yang, and Hui Zhang. "Online Prediction of Remaining Useful Life for Li-Ion Batteries Based on Discharge Voltage Data." Energies 15, no. 6 (2022): 2237. http://dx.doi.org/10.3390/en15062237.

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The state of health and remaining useful life of lithium-ion batteries are key indicators for the normal operation of electrical devices. To address the problem of the capacity of lithium-ion batteries being difficult to measure online, in this paper, we propose an online method based on particle swarm optimization and support vector regression to estimation the state of health and remaining useful life. First, a novel health indicator is extracted from the discharge voltage to characterize the capacity of lithium-ion batteries. Then, based on the capacity degradation characteristics, support
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16

Setyadharma, Andryan. "APAKAH OPEC MERUPAKAN KARTEL?: PENDEKATAN KAUSALITAS GRANGER DALAM KERANGKA VECTOR AUTOREGRESSIVE." KINERJA 10, no. 2 (2017): 89–102. http://dx.doi.org/10.24002/kinerja.v10i2.923.

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One would believe that The Organization of Petroleum Exporting Countries (OPEC) is certainly a cartel which curbs production in order to raise the price of its product as well as to share the market among its members. Did energy shock of the 1970’s engineered by an effective cartel of OPEC members acting to share the market by controlling output and influencing market prices? One would also expect OPEC's production to significantly affect the market price of oil as the organization is often accused of curbing production in order to raise prices. This paper tries to determine whether OPEC has t
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Chauhan Pareshbhai Mansangbhai. "Chili Disease Detection Using HOG with Euclidean Distance." Journal of Electrical Systems 20, no. 3 (2024): 1577–84. http://dx.doi.org/10.52783/jes.3654.

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In order to detect plant diseases in the leaves of chili plants, automatic learning is used in this study. Farmers are planting chilies with the intention of exporting them worldwide. Chili is a need for regular meals. There aren't many illnesses that need to be found in the leaves of chili plants. There are three types of chili plants: weak, diseased, and healthy. Weak and sick chili plants can be affected by diseases such as a harsh leaf, spot leaf, whitefly, yellowish, etc. It has been reported that research is underway to determine whether chile plants are safe to grow or polluted. But whe
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18

Behyan, Mina, Osman Mohamad, and Azizah Omar. "Influence of internationalization orientation on export performance: in the perspective of Malaysian manufacturing firms." Journal of Business & Industrial Marketing 30, no. 1 (2015): 83–95. http://dx.doi.org/10.1108/jbim-05-2012-0091.

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Purpose – The purpose of this paper is to investigate several concepts of inward and outward internationalization and their impact on export performance in the context of Malaysian manufacturing exporting firms. Design/methodology/approach – Mail survey was administered to gather data from the Malaysian manufacturing firms that have been identified to have business export trading to the major oil and gas producer countries in the Middle East. A total of 120 respondents were received and further analysis was tabulated. Findings – Findings revealed that the outward internationalization is positi
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19

Elnaz, Hajebi, and Mohammadi Teimour. "The Impact of Oil Price Shocks on the Macroeconomic Variables of Major Oil Exporting Countries: A GVAR Approach." International Journal of Management, Accounting and Economics 9, no. 4 (2022): 203–26. https://doi.org/10.5281/zenodo.6644779.

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In a world scale economy considering interlinkage and interactions between countries, economic shocks will affect various economies through channels. Meantime, the oil price is one of the most important channels. New studies show that the connection between the oil price and the world economy has numerous complications which could not be incorporated in traditional frames with only taking into consideration separated and identified oil supply and demand shocks without considering synchronicity and the source of the main shocks. Therefore it is essential to model a multi-dimensional system. The
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Hajebi, Elnaz, and Teimour Mohammadi. "The Impact of Oil Price Shocks on the Macroeconomic Variables of Major Oil Exporting Countries: A GVAR Approach." International Journal of Management, Accounting and Economics 9, no. 4 (2022): 203–26. https://doi.org/10.5281/zenodo.7110477.

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In a world scale economy considering interlinkage and interactions between countries, economic shocks will affect various economies through channels. Meantime, the oil price is one of the most important channels. New studies show that the connection between the oil price and the world economy has numerous complications which could not be incorporated in traditional frames with only taking into consideration separated and identified oil supply and demand shocks without considering synchronicity and the source of the main shocks. Therefore it is essential to model a multi-dimensional system. The
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21

Nakayasu, K., Y. Ohshima, N. Fujita, et al. "SS-MIX: A Ministry Project to Promote Standardized Healthcare Information Exchange." Methods of Information in Medicine 50, no. 02 (2011): 131–39. http://dx.doi.org/10.3414/me10-01-0015.

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Summary Objectives: To promote healthcare information exchange between providers and to allow hospital information systems (HIS) export information in standardized format (HL7 and DICOM) in an environment of widespread legacy systems, which only can export data in proprietary format. Methods: Through the Shizuoka prefecture EMR project in 2004–2005, followed by the ministry’s SS-MIX project, many software products have been provided, which consist of 1) a standardized storage to receive HL7 v2.5 mes sages of patient demographics, prescription orders, laboratory results, and diagnostic disease
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22

Boichenko, M. V., and M. O. Boiarkin. "Innovations in foreign trade management under pre-war neo protectionism conditions." Economic Bulletin of Dnipro University of Technology 81 (March 2023): 76–89. http://dx.doi.org/10.33271/ebdut/81.076.

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Methods. To study the risks of neo protectionism for Ukrainian exporters there has been used the following methods: analysis and synthesis, induction and deduction – to identify prerequisites for the formation of neo protectionism in the conditions of globalization. The statistical methods have been used to develop the model of the dependence of the export of products (goods and services) on the indirect methods of neo protectionism to test the hypothesis about the influence of indirect financial support on the stimulation of exports and the creation of new jobs by exporting enterprises. Resul
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Sun, Fuqiang, Xiaoyang Li, Haitao Liao, and Xiankun Zhang. "A Bayesian least-squares support vector machine method for predicting the remaining useful life of a microwave component." Advances in Mechanical Engineering 9, no. 1 (2017): 168781401668596. http://dx.doi.org/10.1177/1687814016685963.

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Rapid and accurate lifetime prediction of critical components in a system is important to maintaining the system’s reliable operation. To this end, many lifetime prediction methods have been developed to handle various failure-related data collected in different situations. Among these methods, machine learning and Bayesian updating are the most popular ones. In this article, a Bayesian least-squares support vector machine method that combines least-squares support vector machine with Bayesian inference is developed for predicting the remaining useful life of a microwave component. A degradati
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Kim, Hyun-Jee, and Bongsuk Sung. "How Knowledge Assets Affect the Learning-by-Exporting Effect: Evidence Using Panel Data for Manufacturing Firms." Sustainability 12, no. 8 (2020): 3105. http://dx.doi.org/10.3390/su12083105.

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Using panel data from Korean manufacturing firms, this study empirically investigates how knowledge assets impact the relationship between exports and productivity. We consider a scenario in which firms are situated in a globally competitive, knowledge-based environment. We establish a dynamic panel vector autoregressive model by considering the outcomes of various panel framework tests. A generalized method of moments estimator is employed to test the dynamic relationships among the variables, and a post-estimation test, Granger causality test, and impulse response test are performed. Our fin
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Maghfiroh, Rahma Ulfa, Sudarmiatin Sudarmiatin, and Rosmiza Bidin. "INTERNATIONALIZATION OF PASURUAN COFFEE MSMES, ANALYSIS OF UPPSALA THEORY AND ITS APPLICATION." International Journal of Economy, Education and Entrepreneurship (IJE3) 4, no. 1 (2024): 122–28. http://dx.doi.org/10.53067/ije3.v4i1.241.

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This study aims to analyze the application of Uppsala Theory to export MSMEs in Indonesia. The main focus of this research is to analyze the relationship between Uppsala Theory and exporting MSMEs in Indonesia. This research is important because MSMEs have a strategic role in the Indonesian economy and exportation is one of the important factors in economic growth in Indonesia. Descriptive qualitative method was used in this research, with a case study analysis on coffee MSMEs in Pasuruan, Indonesia. The results show that the internationalization process explained through Uppsala Theory can be
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Okoli, Tochukwu Timothy, Devi Datt Tewari, and Ajibola Rhodaoluwafisayomi. "The Relationship between Oil Price Volatility and Macroeconomic Variables in Nigeria: A Vector Autoregressive (VAR) Approach." Journal of Economics and Behavioral Studies 9, no. 6(J) (2018): 237–51. http://dx.doi.org/10.22610/jebs.v9i6(j).2020.

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Nigeria as an oil exporting mono-economy is susceptible to fluctuations in the world oil prices. About 97 percent of the government’s revenues are gotten from proceeds from oil export. The study attempts to assess the behaviors of macroeconomic variables in the face of oil price volatility in Nigeria. The empirical evidences reveal that macroeconomic variables were susceptibility to volatility in Oil Price. The theoretical framework is based on the Mundel-Flaming model and adopts the variance decomposition and impulse response functions to explain the dynamic properties of the VAR methodolog
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Okoli, Tochukwu Timothy, Devi Datt Tewari, and Ajibola Rhodaoluwafisayomi. "The Relationship between Oil Price Volatility and Macroeconomic Variables in Nigeria: A Vector Autoregressive (VAR) Approach." Journal of Economics and Behavioral Studies 9, no. 6 (2018): 237. http://dx.doi.org/10.22610/jebs.v9i6.2020.

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Nigeria as an oil exporting mono-economy is susceptible to fluctuations in the world oil prices. About 97 percent of the government’s revenues are gotten from proceeds from oil export. The study attempts to assess the behaviors of macroeconomic variables in the face of oil price volatility in Nigeria. The empirical evidences reveal that macroeconomic variables were susceptibility to volatility in Oil Price. The theoretical framework is based on the Mundel-Flaming model and adopts the variance decomposition and impulse response functions to explain the dynamic properties of the VAR methodology.
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Jensen, Camilla, and Aušryte Rasteniene. "LITHUANIAN EXPORTERS IN THE FINANCIAL CRISIS." Ekonomika 95, no. 2 (2016): 118–38. http://dx.doi.org/10.15388/ekon.2016.2.10128.

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Using Enterprise Survey data covering the period 2001–2011, the paper investigates the export behavior of Lithuanian firms and changes herein before, during and after the financial crisis. The primary objective is to investigate if there are changes in export behavior such as frequency, intensity, value and structure, hence focus lies on the results obtained with the standard enterprise survey data that is annual and collected before and after the crisis. The findings show that in a quantitative perspective the financial crisis has only a marginal impact on the long run exporting behavior of L
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Ye, Ya-Fen, Chao Ying, Yuan-Hai Shao, Chun-Na Li, and Yu-Juan Chen. "Robust and SparseLP-Norm Support Vector Regression." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 6 (2017): 989–97. http://dx.doi.org/10.20965/jaciii.2017.p0989.

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A robust and sparseLp-norm support vector regression (Lp-RSVR) is proposed in this paper. The implementation of feature selection in ourLp-RSVR not only preserves the performance of regression but also improves its robustness. The main characteristics ofLp-RSVR are as follows: (i) By using the absolute constraint,Lp-RSVR performs robustly against outliers. (ii)Lp-RSVR ensures that useful features are selected based on theoretical analysis. (iii) Based on the feature-selection results, nonlinearLp-RSVR can be used when data is structurally nonlinear. Experimental results demonstrate the superio
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Li, Ping, Jie Li, and Ziyi Zhang. "The Dynamic Impact of Structural Oil Price Shocks on the Macroeconomy." Journal of Systems Science and Information 9, no. 5 (2021): 469–97. http://dx.doi.org/10.21078/jssi-2021-469-29.

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Abstract In this paper, we apply the structural vector autoregression (SVAR) model to decompose the international oil price shock into oil supply shocks, aggregate demand shocks and oil-specific demand shocks, and then use the DCC-GARCH model to analyse the dynamic correlations between these three kinds of oil price shocks and the macroeconomic variables of several oil importing and exporting countries. To quantify the intensity of the effect of oil shocks on these variables, we propose a measure, conditional expectation (CoE), to capture the percent change of the economic variable under oil p
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Tratschin, J. D., I. L. Miller, M. G. Smith, and B. J. Carter. "Adeno-associated virus vector for high-frequency integration, expression, and rescue of genes in mammalian cells." Molecular and Cellular Biology 5, no. 11 (1985): 3251–60. http://dx.doi.org/10.1128/mcb.5.11.3251-3260.1985.

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We describe the construction of an adeno-associated virus (AAV) vector in which the coding sequence of the procaryotic gene neo is expressed under the control of the major AAV promoter p40. This AAV-neo vector allowed stable expression of neo as a dominant selective marker in mammalian cells by selection of cells which were resistant to the antibiotic geneticin (G418). When the vector was introduced into human (293 or HeLa) cell lines by a DNA transfection procedure, stable geneticin-resistant colonies were obtained. When the vector was first packaged into AAV particles and then introduced int
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Tratschin, J. D., I. L. Miller, M. G. Smith, and B. J. Carter. "Adeno-associated virus vector for high-frequency integration, expression, and rescue of genes in mammalian cells." Molecular and Cellular Biology 5, no. 11 (1985): 3251–60. http://dx.doi.org/10.1128/mcb.5.11.3251.

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We describe the construction of an adeno-associated virus (AAV) vector in which the coding sequence of the procaryotic gene neo is expressed under the control of the major AAV promoter p40. This AAV-neo vector allowed stable expression of neo as a dominant selective marker in mammalian cells by selection of cells which were resistant to the antibiotic geneticin (G418). When the vector was introduced into human (293 or HeLa) cell lines by a DNA transfection procedure, stable geneticin-resistant colonies were obtained. When the vector was first packaged into AAV particles and then introduced int
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Oladunni, Sunday. "External Shocks and Business Cycle Fluctuations in Oil-exporting Small Open Economies: The Case of Nigeria." Central Bank of Nigeria Journal of Applied Statistics, Vol. 10 No. 2 (February 21, 2020): 39–71. http://dx.doi.org/10.33429/cjas.10219.2/6.

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This study employs a sign-restricted Bayesian structural vector autoregressive (BSVAR) model to analyse how global demand, oil price and the US monetary policy shocks impact the Nigerian business cycle. The objective is to uncover the dominant external drivers of the business cycle in Nigeria. Results show that global demand and oil price shocks are the principal foreign drivers of the Nigerian business cycle. The global demand shock elicits the strongest responses from output growth and inflation; while oil price shock impacts the terms-of-trade and interest rate the most. The historical cont
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Aliyev, Khatai, Altay Ismayilov, and Ilkin Gasimov. "Modelling Elasticity of Non‑Oil Tax Revenues to Oil Price Changes: is There U‑Shaped Association? Evidence from Azerbaijan." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 67, no. 3 (2019): 799–810. http://dx.doi.org/10.11118/actaun201967030799.

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Oil price changes has a great influence on the behaviour of firms in oil exporting countries which displays itself in amount of non‑oil tax receipts of the state budget. Employing FMOLS, DOLS, and CCR cointegration methods for 2001Q1–2015Q4, the study aims to analyse how oil price changes affects non‑oil tax revenues in Azerbaijan. Empirical results altogether provide strong scientific evidence that there is U‑shaped causality from oil price changes to total non‑oil tax revenues , corporate income tax receipts and labour income tax payments , and inverse U‑shaped to non‑oil VAT revenues of the
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Chavarriga, Javier, Jaume Llibre, and Jean Moulin Ollagnier. "On a Result of Darboux." LMS Journal of Computation and Mathematics 4 (2001): 197–210. http://dx.doi.org/10.1112/s1461157000000863.

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AbstractThis paper is concerned with a relation of Darboux in enumerative geometry, which has very useful applications in the study of polynomial vector fields. The original statement of Darboux was not correct. The present paper gives two different elementary proofs of this relation. The first one follows the ideas of Darboux, and uses basic facts about the intersection index of two plane algebraic curves; the second proof is rather more sophisticated, and gives a stronger result, which should also be very useful. The power of the relation of Darboux is then illustrated by the provision of ne
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Zahraoui, Yassine, Mohamed Akherraz, Chaymae Fahassa, and Sara Elbadaoui. "Induction motor harmonic reduction using space vector modulation algorithm." Bulletin of Electrical Engineering and Informatics 9, no. 2 (2020): 452–65. http://dx.doi.org/10.11591/eei.v9i2.1682.

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The vector control was proposed as an alternative to the scalar control for AC machines control. Vector control provide high operation performance in steady state and transient operation. However, the variable switching frequency of vector control causes high flux and torque ripples which lead to an acoustical noise and degrade the performance of the control scheme. The insertion of the space vector modulation was a very useful solution to reduce the high ripples level inspite of its complexity. Numerical simulation results obtained in MATLAB/Simulink show the good dynamic performance of the p
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37

Guo, Runxia, Zhenghua Liu, and Jiaqi Wang. "Remaining useful life prediction for the electro-hydraulic actuator based on improved relevance vector machine." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 4 (2019): 501–11. http://dx.doi.org/10.1177/0959651819862948.

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The electro-hydraulic actuator plays a significant role in the automatic flight control system, which is critical to the flight security, so it is vital to monitor the state of health and predict the remaining useful life for the electro-hydraulic actuator. Relevance vector machine is flourishing in the field of remaining useful life prediction and gradually applied to the prediction of complex systems or components. However, the general relevance vector machine cannot achieve on-line prediction efficiently due to its high computational complexity, besides, the sparse relevance vector machine
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38

Micchelli, Charles A., and Massimiliano Pontil. "On Learning Vector-Valued Functions." Neural Computation 17, no. 1 (2005): 177–204. http://dx.doi.org/10.1162/0899766052530802.

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In this letter, we provide a study of learning in a Hilbert space of vector-valued functions. We motivate the need for extending learning theory of scalar-valued functions by practical considerations and establish some basic results for learning vector-valued functions that should prove useful in applications. Specifically, we allow an output space Y to be a Hilbert space, and we consider a reproducing kernel Hilbert space of functions whose values lie in Y. In this setting, we derive the form of the minimal norm interpolant to a finite set of data and apply it to study some regularization fun
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39

Qi, Jin, and Jie Hu. "Multivariable case-based reason adaptation based on multiple-output support vector regression with similarity-related weight for parametric mechanical design." Advances in Mechanical Engineering 10, no. 10 (2018): 168781401880464. http://dx.doi.org/10.1177/1687814018804649.

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Using historical cases’ solutions to obtain feasible solution for new problem is fundamentally to successfully applying case-based reason technique in parametric mechanical design. As a well-known intelligent algorithm, the formulation of support vector regression has been taken for case-based reason adaptation, but the standard support vector regression can only be used as a univariate adaptation method because of its single-output structure, which would result in the ignorance of the possible interrelations among solution outputs. To handle the complicated case adaptation task with large num
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Jiang, You-liang, Zhen-nan You, Zi-cong Cao, and Yan Wang. "Remaining Useful Life Prediction of Rolling Bearings Based on PCA and GSACO-SVR Model." Journal of Physics: Conference Series 2405, no. 1 (2022): 012018. http://dx.doi.org/10.1088/1742-6596/2405/1/012018.

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Abstract The prediction of the remaining useful life (RUL) of rolling bearings facilitates the better development of maintenance programs. It is very important to improve prediction accuracy. We proposed an improved optimized support vector regression (GSACO-SVR) model to accurately predict the RUL of bearings, which is based on a new golden sine ant colony algorithm (GSACO) aiming to optimize the support vector regression (SVR) parameters. Compared with SVR, fruit fly algorithm, and ant colony algorithm under different working conditions by experiments, the GSACO-SVR model has more accurate p
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41

Li, Meng. "Research on Extraction of Useful Tourism Online Reviews Based on Multimodal Feature Fusion." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 5 (2021): 1–16. http://dx.doi.org/10.1145/3453694.

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To effectively identify the influencing factors of the perceived usefulness of multimodal data in online reviews of tourism products, this article explores the optimization method of online tourism products based on user-generated content and conducts feature fusion of multimodal data in online reviews of tourism products from the perspective of data fusion analysis. Therefore, based on the word vector model, this article proposes a method to select the seed word set of emotion dictionary. In this method, emotional words are represented in vector form and the distance between word vectors is c
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42

Rai, Akhand, and Sanjay H. Upadhyay. "Intelligent bearing performance degradation assessment and remaining useful life prediction based on self-organising map and support vector regression." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, no. 6 (2017): 1118–32. http://dx.doi.org/10.1177/0954406217700180.

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Rolling element bearings are critical components of rotating machines since the failure of rolling element bearings may cease the functioning of the entire equipment. The damages observed due to bearing failures are expeditious in nature and hence the need to develop an effective prognostic methodology becomes a requisite to prevent the sudden machinery breakdown. The performance degradation assessment and accurate determination of remaining useful life are the two key issues in prognostics of rolling element bearings. This paper proposes a degradation indicator based on self-organising map fo
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43

Ye, Ya-Fen, Yuan-Hai Shao, and Chun-Na Li. "WaveletLp-Norm Support Vector Regression with Feature Selection." Journal of Advanced Computational Intelligence and Intelligent Informatics 19, no. 3 (2015): 407–16. http://dx.doi.org/10.20965/jaciii.2015.p0407.

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This paper proposes waveletLp-norm support vector regression (Lp-WSVR) to solve feature selection and regression problems effectively. Unlike conventional support vector regression (SVR), linearLp-WSVR ensures that useful features are selected based on theoretical analysis. By using the wavelet kernel,Lp-WSVR approaches any curve in quadratic continuous integral space that leads to improving regression performance. Results of experiments show the superiority ofLp-WSVR in both feature selection and regression performances. ApplyingLp-WSVR to Chinese real estate prices shows that the most signif
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44

Alharbi, Abdullah M. H. "Oil Shocks, Monetary Policy, and Stock Returns: A Case of Oil-based Economy." International Journal of Energy Economics and Policy 13, no. 6 (2023): 56–63. http://dx.doi.org/10.32479/ijeep.13624.

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This paper investigates the dynamic effects of oil price shocks on the Saudi stock market. It differs from previous work by examining the role of monetary transmission of oil shocks to stock returns via interest rate and credit channels. A Structural Vector Autoregressive model (SVAR) is used to trace the impacts of the underlying shocks. The results provide robust evidence in favor of a positive relationship between oil price volatility and stock market returns, which is aligned with the prevailing view on the oil impact in net oil-exporting countries. Variance decomposition results indicate
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45

Yassine, Zahraoui Mohamed Akherraz, Fahassa Chaymae, and Elbadaoui Sara. "Induction motor harmonic reduction using space vector modulation algorithm." Bulletin of Electrical Engineering and Informatics 9, no. 2 (2020): 452–65. https://doi.org/10.11591/eei.v9i2.1682.

Full text
Abstract:
The vector control was proposed as an alternative to the scalar control for AC machines control. It provides high operation performance in steady state and transient operation. However, the variable switching frequency of vector control causes high flux and torque ripples which lead to an acoustical noise and degrade the performance of the control scheme. The insertion of the space vector modulation was a very useful solution to reduce the high ripples level inspite of its complexity. Numerical simulation results obtained in MATLAB/Simulink show the good dynamic performance of the proposed vec
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46

Leporini, Roberto, and Davide Pastorello. "Support Vector Machines with Quantum State Discrimination." Quantum Reports 3, no. 3 (2021): 482–99. http://dx.doi.org/10.3390/quantum3030032.

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We analyze possible connections between quantum-inspired classifications and support vector machines. Quantum state discrimination and optimal quantum measurement are useful tools for classification problems. In order to use these tools, feature vectors have to be encoded in quantum states represented by density operators. Classification algorithms inspired by quantum state discrimination and implemented on classic computers have been recently proposed. We focus on the implementation of a known quantum-inspired classifier based on Helstrom state discrimination showing its connection with suppo
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47

Deng, Hong Tao. "An Improved Error Concealment Based on Redundant Motion Vector Information." Advanced Materials Research 532-533 (June 2012): 1219–24. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1219.

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During video transmission over error prone network, compressed video bit-stream is sensitive to channel errors that may degrade the decoded pictures severely. In order to solve this problem, error concealment technique is a useful post-processing tool for recovering the lost information. In these methods, how to estimate the lost motion vector correctly is important for the quality of decoded picture. In order to recover the lost motion vector, an Decoder Motion Vector Estimation (DMVE) criterion was proposed and have well effect for recover the lost blocks. In this paper, we propose an improv
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48

Guryanova, Lidiya S., and Oleksii O. Korovin. "Modeling the Impact of Climate Change on the Productivity of the Agrarian Sector." Business Inform 5, no. 556 (2024): 146–51. http://dx.doi.org/10.32983/2222-4459-2024-5-146-151.

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The article proposes a conceptual approach to modeling the impact of climate change on the productivity of the agrarian sector, substantiates the factors of climate change, and forms the information base of the study. Specifically, rainfall data was taken from the Climate Hazards Group InfraRed Precipitation with Station database (CHIRPS), which is a quasi-global dataset of precipitation amounts over 30+ years. CHIRPS incorporates 0.05° resolution satellite imagery together with data from local stations to create gridded rainfall time series to analyze trends and monitor seasonal drought. In o
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49

Shamova, E. A., and Yu G. Myslyakova. "Assessing the Innovative Solvency of Regional Exports in the Russian Federation." Economics and Management 27, no. 12 (2021): 951–62. http://dx.doi.org/10.35854/1998-1627-2021-12-951-962.

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Aim. The presented study aims to develop a methodology for assessing the innovative solvency of exports from Russian regions and to identify the leading exporting regions in the development of the country’s innovative exports. Tasks. The authors clarify the definition of ‘innovative solvency of regional exports’; develop a methodology for assessing the innovative component of regional exports; test methodological recommendations for assessing the innovative solvency of exports through the example of industrial regions. Methods. The approach to determining the innovative solvency of regional ex
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50

Huda, M. Mamun, Dinesh Mondal, Vijay Kumar, et al. "Toolkit for Monitoring and Evaluation of Indoor Residual Spraying for Visceral Leishmaniasis Control in the Indian Subcontinent: Application and Results." Journal of Tropical Medicine 2011 (2011): 1–11. http://dx.doi.org/10.1155/2011/876742.

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Background. We field tested and validated a newly developed monitoring and evaluation (M&E) toolkit for indoor residual spraying to be used by the supervisors at different levels of the national kala-azar elimination programs in Bangladesh, India and Nepal.Methods. Methods included document analysis, in-depth interviews, direct observation of spraying squads, and entomological-chemical assessments (bioassay, susceptibility test, chemical analysis of insecticide residues on sprayed surfaces, vector density measurements at baseline, and three follow-up surveys).Results. We found that the doc
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