Relevant bibliographies by topics / Vector-indicator

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Vector-indicator'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Vector-indicator"

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Yang, Yun, Jianping Luo, Lei Huang, and Qiqi Liu. "A many-objective evolutionary algorithm with epsilon-indicator direction vector." Applied Soft Computing 76 (March 2019): 326–55. http://dx.doi.org/10.1016/j.asoc.2018.11.041.

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Trunov, Alexander. "VECTOR INDICATOR AS A TOOL OF RECURRENT ARTIFICIAL NEURON NET FOR PROCESSING DATA." EUREKA: Physics and Engineering 4 (July 29, 2016): 55–60. http://dx.doi.org/10.21303/2461-4262.2016.000129.

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The three-level comparator is applied as a tool to formation of vector-indicator of function and its argument and recurrent artificial neuron net (RANN). The modernization of expression in Fourier series due to usage of the vector-indicator components is introduced. The example of RANN for peripheral processing data on the basis of a long-short-term memory is proposed. The dependence of number point shift from order of oldest derivatives in expression is studied. The system equations realizing conditions of minimization a sum of squared deviations from the patterns are written. The processes of transformation on different stage of data acquisition and processing into RANN are considered. Decomposition of function on derivatives and vector-indicator inside RANN is shown. The numerical experiments for analytical learning are done, they demonstrated convergence of analytical learning algorithms independently from first approximation even for oscillating operators.
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Zhang, Lieping, Huihao Peng, Jiajie He, Shenglan Zhang, and Zuqiong Zhang. "Three-dimensional localization algorithm of mobile nodes based on received signal strength indicator-angle of arrival and least-squares support-vector regression." International Journal of Distributed Sensor Networks 18, no. 7 (2022): 155013292211119. http://dx.doi.org/10.1177/15501329221111961.

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Node localization is one of the key technologies in the wireless sensor network research field, which is crucial to the high-accuracy localization of mobile nodes, but the positioning error of traditional algorithms such as received signal strength indicator and angle of arrival is more than 4 m, which has almost no practical value. For example, the localization accuracy of the localization algorithm based on received signal strength indicator will be reduced sharply when affected by signal reflection, multipath propagation, and other interference factors. To solve the problem, a three-dimensional localization algorithm of mobile nodes was proposed in this article based on received signal strength indicator–angle of arrival and least-squares support-vector regression, which fused the ranging information of received signal strength indicator algorithm and the angle of arrival algorithm and optimized the estimated distance of unknown nodes. Next, the mobile node model and least-squares support-vector regression modeling mechanism were built according to the hop count of the shortest distance between nodes. Finally, the unknown mobile nodes were localized based on least-squares support-vector regression modeling. The experimental results showed that compared with the localization algorithms without optimized ranging information or least-squares support-vector regression modeling, the algorithm proposed in this study exhibited significantly improved stability, a reduced mean localization error by more than 50%, and increased localization accuracy.
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Karmanov, A. V., K. P. Orlova, V. E. Serkin, and M. A. Tokarev. "Solving the problem of stability of the stationary quality indicator of complex technical systems." Dependability 23, no. 4 (2023): 3–7. http://dx.doi.org/10.21683/1729-2646-2023-23-4-3-7.

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Aim. To define and solve the problem of stability of the stationary quality indicator of a complex technical system. The random process of the system’s walking by its possible states is described with a homogeneous Markov process. The stability problem consists in defining such stationary (final) probabilities of the Markov process that implement the maximum and minimal values of the quality indicator, provided that the rate of state transitions have interval estimations and the rates are conditioned by the process of failures and recoveries of the system’s elements. The stationary quality indicator has a fairly standard form and is a scalar product of the final probability vector of the Markov process and the vector that characterises the “weight” of each state, where “weight” may be understood as various contensive characteristics of states.Methods. The paper uses mathematical methods of optimal control of a Markov process using an income vector of a special form and linear programming.Results. A method is proposed and substantiated for solving the problem of stability of a stationary indicator of the quality of operation of a complex technical system. A numerical algorithm for solving the above problem is presented as well. The paper gives an example of the solution of a problem of stability with quality indicator that is a “penalty” function.Conclusion. The paper discusses the problem of numerical solution of the stability problem of a large dimensionality.
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Rozhkov, I. M., N. A. Isaeva, I. M. Zaytsev, I. A. Larionova, and Yu Yu Kostyukhin. "Management of the value added made by the entity using imitating modelling." Economy in the industry 11, no. 1 (2018): 44–51. http://dx.doi.org/10.17073/2072-1633-2018-1-44-51.

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The research is directed to implementation of an automatic control system system by economy of the entity. Three stages of the solution of this task are allocated. The first stage – forming and the forecast of the integrated indicator characterizing an economic condition of the entity. As such indicator, the value added of products made by the entity is accepted. Private indicators, which influence the size of an integrated economic indicator, are considered. The second stage – creation of an estimative vector. The general technique of quantitative assessment of an economic situation in the entity using the new operational characteristic – lengths of the «estimative» vector determining financial and statistical ratios is offered. The vector allows to divide in dynamics an array of initial information into two parts relating to the satisfactory and pre-crisis periods of work of the entity that gives the chance to construct separately forecast models of a key indicator for points of crisis and for points of a steady condition. For each group of points distributions of the corresponding indicators are constructed. The final stage – the planned imitating experiment for the purpose of achievement of optimum value of value added of products made by the entity – stay using imitating modeling of the ranges of change of rational values of the financial ratios recommended for use as corrective actions for ensuring satisfactory sizes of a key indicator. Flowcharts of the following stages of the solution of an objective are provided in article: procedures of forming of the considered indicators and also procedures of calculation of an estimative vector and determination of rational values of corrective actions. Results of two series of imitating experiments on separation of logarithmic normal distribution of the considered indicators for one of the metallurgical entities are shown.
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Choi, Ji-Young, Chulman Jo, and Sangmee Ahn Jo. "Construction of a new T-vector: Nickase (Nt.BspQI)-generated T-vector bearing a reddish-orange indicator gene." Tissue Engineering and Regenerative Medicine 13, no. 1 (2016): 66–69. http://dx.doi.org/10.1007/s13770-015-0118-z.

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Kolev, Nikolai, Ekaterina T. Kolkovska, and José Alfredo López-Mimbela. "Joint probability generating function for a vector of arbitrary indicator variables." Journal of Computational and Applied Mathematics 186, no. 1 (2006): 89–98. http://dx.doi.org/10.1016/j.cam.2005.03.066.

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Yamamoto, Pedro T., Renato B. Bassanezi, Nelson A. Wulff, et al. "Citrus Sudden Death Is Transmitted by Graft-Inoculation and Natural Transmission Is Prevented by Individual Insect-Proof Cages." Plant Disease 95, no. 2 (2011): 104–12. http://dx.doi.org/10.1094/pdis-04-10-0307.

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Citrus sudden death (CSD) transmission was studied by graft-inoculation and under natural conditions. Young sweet orange trees on Rangpur rootstock were used as indicator plants. They were examined regularly for one or two characteristic markers of CSD: (i) presence of a yellow-stained layer of thickened bark on the Rangpur rootstock, and (ii) infection with the CSD-associated marafivirus. Based on these two markers, transmission of CSD was obtained, not only when budwood for graft-inoculation was taken from symptomatic, sweet orange trees on Rangpur, but also when the budwood sources were asymptomatic sweet orange trees on Cleopatra mandarin, indicating that the latter trees are symptomless carriers of the CSD agent. For natural transmission, 80 young indicator plants were planted within a citrus plot severely affected by CSD. Individual insect-proof cages were built around 40 indicator plants, and the other 40 indicator plants remained uncaged. Only two of the 40 caged indicator plants were affected by CSD, whereas 17 uncaged indicator plants showed CSD symptoms and were infected with the marafivirus. An additional 12 uncaged indicator plants became severely affected with citrus variegated chlorosis and were removed. These results strongly suggest that under natural conditions, CSD is transmitted by an aerial vector, such as an insect, and that the cages protected the trees against infection by the vector.
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Yu, Yunhua, Haitao Shi, and Lifei Mi. "Research on Feature Extraction of Indicator Card Data for Sucker-Rod Pump Working Condition Diagnosis." Journal of Control Science and Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/605749.

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Three feature extraction methods of sucker-rod pump indicator card data have been studied, simulated, and compared in this paper, which are based on Fourier Descriptors (FD), Geometric Moment Vector (GMV), and Gray Level Matrix Statistics (GLMX), respectively. Numerical experiments show that the Fourier Descriptors algorithm requires less running time and less memory space with possible loss of information due to nonoptimal numbers of Fourier Descriptors, the Geometric Moment Vector algorithm is more time-consuming and requires more memory space, while the Gray Level Matrix Statistics algorithm provides low-dimension feature vectors with more time consumption and more memory space. Furthermore, the characteristic of rotational invariance, both in the Fourier Descriptors algorithm and the Geometric Moment Vector algorithm, may result in improper pattern recognition of indicator card data when used for sucker-rod pump working condition diagnosis.
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Metelenko, Natalya, Valentyna Khrapkina, Olena Ovіechkina, Olexandr Shapurov, and Oksana Rudych. "Polyvariance of vector formation of sustainable development of metallurgical enterprises." Revista Amazonia Investiga 11, no. 55 (2022): 69–79. http://dx.doi.org/10.34069/ai/2022.55.07.7.

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The article establishes that the formation of the vector of sustainable development of metallurgical enterprises should be based on the use of such methodological approaches as systems analysis and program-target approach; on a combination of methods of economic diagnostics (method of expert assessment, method of economic and mathematical modeling, methods of multifactor and trend analysis). The polyvariance of the process of forming a system of indicators, which is the basis for calculating the integrated indicator of the vector of sustainable development, ensures taking into account the state and trends of changes in technical-technological, economic-environmental, and social components of the industrial enterprise. To solve this scientific problem, the stages of polyvariate formation of the vector of sustainable development of metallurgical enterprises are developed, which are based on the established basic principles; actualization of the vector of sustainable development is happening in accordance with the state of technical-technological, economic-environmental and social components and takes into account the modes of operation of the metallurgical enterprise, corresponding to the actual level of the integrated indicator.
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Dissertations / Theses on the topic "Vector-indicator"

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Park, Gi-Ho. "p-Refinement Techniques for Vector Finite Elements in Electromagnetics." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/10602.

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The vector finite element method has gained great attention since overcoming the deficiencies incurred by the scalar basis functions for the vector Helmholtz equation. Most implementations of vector FEM have been non-adaptive, where a mesh of the domain is generated entirely in advance and used with a constant degree polynomial basis to assign the degrees of freedom. To reduce the dependency on the users' expertise in analyzing problems with complicated boundary structures and material characteristics, and to speed up the FEM tool, the demand for adaptive FEM grows high. For efficient adaptive FEM, error estimators play an important role in assigning additional degrees of freedom. In this proposal study, hierarchical vector basis functions and four error estimators for p-refinement are investigated for electromagnetic applications.
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Bachmann, Jennifer Eva-Maria [Verfasser], Astrid [Akademischer Betreuer] Gärdes, Astrid [Gutachter] Gärdes, and Dieter [Gutachter] Wolf-Gladrow. "Particulate organic matter : Vector for carbon export, indicator for aquaculture impact and microbial hotspot / Jennifer Eva-Maria Bachmann ; Gutachter: Astrid Gärdes, Dieter Wolf-Gladrow ; Betreuer: Astrid Gärdes." Bremen : Staats- und Universitätsbibliothek Bremen, 2019. http://d-nb.info/1186248653/34.

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Peterson, Samuel. "Spatial and Temporal Employment Relationships: Southern California as a Case Study." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1813.

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Southern California is the largest U.S. metropolitan area geographically, and demonstrates complex spatial relationships between county labor markets. This paper is interested in investigating the employment dependencies between the core city of Los Angeles its respective commuting sheds, such as San Bernardino and Riverside counties. Using time series data that includes labor demand shocks from the Great Recession, this analysis implements a vector autoregressive model to dissect the relationship between urban and suburban employment changes. The work finds a strong lagging-leading relationship between counties that varies by business cycle phase, and provides policy implications from this relationship.
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Ewö, Christian. "A machine learning approach in financial markets." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5571.

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In this work we compare the prediction performance of three optimized technical indicators with a Support Vector Machine Neural Network. For the indicator part we picked the common used indicators: Relative Strength Index, Moving Average Convergence Divergence and Stochastic Oscillator. For the Support Vector Machine we used a radial-basis kernel function and regression mode. The techniques were applied on financial time series brought from the Swedish stock market. The comparison and the promising results should be of interest for both finance people using the techniques in practice, as well as software companies and similar considering to implement the techniques in their products.
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El, bitar Khalil. "Clearing vectors in financial networks." Thesis, Besançon, 2016. http://www.theses.fr/2016BESA2079/document.

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Le risque systémique menaçant le système financier est une préoccupation majeure pour les régulateurs. Les indicateurs adéquats de risque systémique devraient vraiment les aider à accomplir les lois réglementaires appropriées. La thèse propose un modèle dynamique du système bancaire pour calculer un indicateur de risque systémique de deux composantes :La probabilité d'un évènement déclencheur qui provient de la baisse des prix des actifs, et les pertes correspondantes dans le système Financier.La thèse prouve également l'existence et l'unicité de deux modèles d'équilibre de compensation : Le premier avec un modèle de différentes hiérarchies de dette et le second modèle avec plusieurs stratégies de liquidation<br>Systemic risk threatening the financial system is a major concern for regulators. Adequate indicators of systemic risk would help them perform appropriate regulatory laws.The thesis proposes a dynamic model of banking system to calculate a systemic risk indicator of two components : The probability of a triggering event originated from external asset price decline, and the corresponding losses through the financial system. The thesis also proves the existence and uniqueness of two clearing equilibrium: the first deals with a model of différent debt seniorities, the second with a model of several illiquid asset following a proportional liquidation strategy
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Yang, Kai-Chieh, and 楊凱傑. "Implementing support vector regression to predict the remaining useful lifetime of mechanical components with health indicator." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/52r4b4.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>106<br>With the gradually increasing sophistication of technology in the era of Industry 4.0, there are still many industries using traditional maintenance methods: corrective maintenance and preventive maintenance. A shutdown of high-tech production lines could lead to huge amounts of production costs. Traditional industries should apply more sciences and technologies, so the new maintenance strategy appears to be significantly important. However, predictive maintenance is a rapidly emerging maintenance model that can effectively predict the shutdown time of equipment and minimize the risk of equipment failure without warning. This study provides a complete predictive maintenance process to analyze the monitoring health status of mechanical components and predict the future trend by support vector regression. According to the remaining useful life (RUL), to plan the timing of maintenance which could avoid the shutdown of equipment without warning. In this case study, the monitoring signals of ball bearings are used to establish health indicator and predict future trend. The prediction gets a good result that %Er value equals to -2.36% and Score values reaches 0.7024. Finally, the result will be compared with other methods of other literature.
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Book chapters on the topic "Vector-indicator"

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Chernega, Oksana, Maria Kolchuk, Yuliia Bocharova, Oleksandr Ishchenko, and Svitlana Ostapenko. "Theoretical basis of security in the XXI century." In CHALLENGES AND PARADIGM OF NATIONAL AND INTERNATIONAL SECURITY OF THE XXI CENTURY: ECONOMIC AND TECHNOGENIC DISCOURSE. TECHNOLOGY CENTER PC, 2022. https://doi.org/10.15587/10.15587/978-617-7319-59-6.ch1.

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The place and role of the security phenomenon in the scientific discourse are studied. Approaches to understanding the essence of the concept of "security" are identified. The stages of evolution of the security concept in the 17th-20th centuries are analyzed. Security paradigms (traditional security paradigm, sectoral security paradigm, human security paradigm, integrated security paradigm) are identified. The types of security in the 21st century are identified and it is substantiated that the variability of types of security is primarily associated with its subject-object structure. Analytical security levels are proposed. It is substantiated that, despite the complexity, interdisciplinarity and multidimensionality of the modern concept of security, the defining place in it is still occupied by the concept of national security. It is substantiated that at the present stage of development of theory and practice, national security is considered as a prerequisite and indicator of the socio-economic development of the state, its competitiveness. Approaches to understanding the concept of "national security" are considered and the author's approach to understanding the essence of this term is proposed. The components of national security are identified and it is substantiated that the significance and role of different components of security differ significantly from one group of countries to another, which is dictated by the achieved level of socio-economic development, the geo-economic and geopolitical potential of countries' influence, and their national interests. The essence of the concept of "public administration in the field of security" is revealed. The variability of models for ensuring the security of states and their features are identified. Based on the analysis of the Global Risks Reports, the global threats to national security in the 21st century are systematized and analyzed, the vector of their transformation, the time lag of manifestation and the degree of influence are determined.
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Ohemeng, Francis Danquah, and Falguni Mukherjee. "Modelling the Spatial Distribution of the Anopheles Mosquito for Malaria Risk Zoning Using Remote Sensing and GIS." In Geospatial Intelligence. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8054-6.ch042.

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Remote Sensing and Geographic Information System was used to develop a spatial risk malaria distribution model based on environmental suitability for survival of the Anopheles gambie sp. Complex (A. arabiensis and A. gambae), the vector known to transmit malaria in Zimbabwe (Masendu, 1996). Employing geostatistical techniques, spatial analysis of environmental factors that contribute to the spread of the malaria vector was conducted to develop a malaria risk model that could be used in effective malaria control planning in Zimbabwe. The study was conducted in the Piriwiri, Umfuli and Magondi communal lands of Zimbabwe. A model was developed that defined malaria hot spots in the communal lands where attention must be given in developing plans and strategies for malaria control. Environmental data collected from satellite images and validated by fieldwork were used in the study. Based on expert knowledge, specific environmental factors favourable for Anopheles malaria vector were identified. This information was then used to predict the suitability of the area for the Anopheles mosquito using Indicator Kriging Algorithm (Isaacs et al., 1989). This method calculated the probability of exceeding an environmental indicator threshold (this allowed the prediction that a particular area (location) in the communal lands is suitable for the survival and spread of the Anopheles) and integrated them into a potential vector distribution model for the area. This model was used to determine areas that are potentially risky for malaria. Again the spatial distribution of malaria was calculated, based on clinical malaria data and accessibility to the clinics, and compared with the potential vector distribution zones to determine areas with high malaria risk. Except a few areas in Umfuli that were highly favourable for the Anopheles mosquito, most of the communal lands were not suitable for anopheles to survive indicating that malaria incidences are generally associated with highly favourable areas for the vector. Combining GIS and remote sensing applications with geostatistical analysis is a promising approach to define malaria risk areas in Zimbabwe. However, further quantitative research is necessary to validate the relationships within the malaria transmission system, especially on the vector and the human environment aspects.
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Yu, Lean, Shouyang Wang, and Kin Keung Lai. "Financial Crisis Modeling and Prediction with a Hilbert-EMD-Based SVM Approachs." In Intelligent Data Analysis. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-982-3.ch017.

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Financial crisis is a kind of typical rare event, but it is harmful to economic sustainable development if occurs. In this chapter, a Hilbert-EMD-based intelligent learning approach is proposed to predict financial crisis events for early-warning purpose. In this approach a typical financial indicator currency exchange rate reflecting economic fluctuation condition is first chosen. Then the Hilbert-EMD algorithm is applied to the economic indicator series. With the aid of the Hilbert-EMD procedure, some intrinsic mode components (IMCs) of the data series with different scales can be obtained. Using these IMCs, a support vector machine (SVM) classification paradigm is used to predict the future financial crisis events based upon some historical data. For illustration purposes, two typical Asian countries including South Korea and Thailand suffered from the 1997-1998 disastrous financial crisis experience are selected to verify the effectiveness of the proposed Hilbert-EMD-based SVM methodology.
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Taşabat, Semra Erpolat, and Tuğba Kıral Özkan. "TOPSIS vs. VIKOR." In Multi-Criteria Decision Analysis in Management. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2216-5.ch010.

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Evaluating multiple criteria and selecting and/or ranking alternatives is called Multi Criteria Decision Making (MCDM). These methods which are considered important decision-making tools for decision makers due to their multidisciplinary nature have been developed over the years. As a result, there are many MCDM methods in the literature. In this chapter, TOPSIS and VIKOR, widely used in the literature, will be discussed. The major reason for examining these two methods is that the aggregating function used by both methods is similar because VIKOR method uses linear normalization and TOPSIS method uses vector normalization. The process of the methods is shown on a data set that includes the Human Development Index (HDI) indicators, which have been developed to measure the development levels of countries as well as the unemployment indicator. It was observed that the methods yielded similar results.
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Li, Tianbao, and Jingbang Zhou. "Evaluating the Effectiveness of Machine Learning Algorithms for Financial Fraud Detection." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia241178.

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In order to study the problem of financial statement fraud identification, the evaluation of the application effect of machine learning algorithms in financial fraud detection is proposed. Taking the financial statements of Shenzhen and Shanghai A-share listed companies from 2011 to 2020 as sample data, the information value was introduced to build an indicator screening model, and 17 financial variables and 4 non-financial variables were extracted. After cleaning and normalizing the sample data, we used XGBoost algorithm classifies sample data. The experimental results show that the financial statement fraud identification model built based on the XGBoost algorithm has the best prediction effect, with an accuracy of 86.96% and a precision of 88.57%. Conclusion: The financial statement fraud identification model based on the XGBoost algorithm is better than the logistic regression, support vector machine and random forest algorithms in machine learning algorithms in all performance indicators.
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Yu, Xiaokun. "MOOC Teaching Management Scheme Based on Optimized SVM." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde231247.

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In order to analyze the students’ MOOC learning situation and feed back the learning results in a timely manner, this paper uses MOOC data mining in teaching practice to establish a learning and teaching management model to evaluate and predict the students’ learning quality. In this scheme, feature engineering method is applied to mine the characteristics of MOOC learners’ behavior, and an improved global optimal guidance support vector machine(SVM) is proposed. With the learning behavior log of learners in multiple MOOCs as the data source, the improved method is adopted to extract and process the data to acquire the relevant characteristics of learners, which is used to provide effective methods and references for prediction analysis research in MOOC environment. The case analysis results show that it can provide the best technical solution for online learning effect prediction in combination with the relevant needs of MOOC education indicator evaluation.
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Guan, Chong, Yinghui Yu, Jing Ren, and Ding Ding. "From Chart to Chart." In Advances in Finance, Accounting, and Economics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8186-1.ch012.

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This study builds upon previous research by exploring the deeper relationship between the thematic and emotional content of top-charting music lyrics and stock price movements. Focusing on the Japan Nikkei Stock Average, this chapter investigate how thematic and emotional expressions in popular music lyrics correlate with stock market returns. Utilizing a Stream-Weighted Music Lyrics (SWML) vector as input for a Long Short-Term Memory (LSTM) model, this study forecast stock returns based on the semantic content of lyrics. This approach offers potential advancements in both theoretical understanding and practical applications for market participants. The findings make a significant contribution to the field of behavioral finance by introducing music consumption as a valuable, unconventional indicator of investor psychological states and market dynamics. The study highlights the potential of integrating psychological signals into investment strategies, offering a fresh perspective on how non-traditional data sources can enhance market analysis and decision-making.
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Solomon, Dr Priya, and Dr Sudha Swaroop. "AN EMPIRICAL ANALYSIS OF NSE NIFTY PERFORMANCE AND TERTIARY SECTOR GROWTH: EVIDENCE FROM INDIA." In Futuristic Trends in Management Volume 2 Book 5. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2023. http://dx.doi.org/10.58532/v2bs5p4ch4.

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Purpose: This study aims to determine the cointegrating and causal relationship between NSE Nifty and the gross value added (GVA) by the tertiary sector. The impact of NSE Nifty on the gross value added (GVA) by the tertiary sector of the economy has been studied in detail. The stock market is considered the barometer of the economy. Design/methodology/approach: This study used a vector error correction model to analyze the annual data of the NSE Nifty Index and gross value added by the tertiary sector empirically for the period 2000-2001 to 2020-2021 using software Eviews 11. Findings: The result of the vector error correction model indicates that when the long-run equilibrium deviates, the GVA by the tertiary sector adjusts to restore stability by rectifying the disequilibrium by 35 percent. Similarly, the Wald Chi-square value and coefficient of error correction term between the NSE Nifty and tertiary sector revealed that NSE Nifty is the leading indicator of the tertiary sector in both the short and long run. The results imply that the tertiary sector will develop when the NSE Nifty rises and that tertiary sector growth will follow in the same manner. Research limitations/implications: This study suggests that investors may foresee the adjustment in the tertiary sector's movement by focusing on NSE Nifty's movement and making successful investment choices. Originality/value: The most recent data are used in this study to determine the rate at which variables adapt toward long-run equilibriuma
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Madaleno, Mara, Margarita Robaina, Celeste Eusébio, et al. "Cointegration and Causality Analysis of Portuguese Tourism and Air Quality." In New Governance and Management in Touristic Destinations. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3889-3.ch004.

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This chapter aims to fill the knowledge gap regarding the relationship between tourism and air quality, specifically in the Portuguese tourism industry, with a focus on tourist nationality. It examines whether this relationship differs according to tourist origin. This study uses an air pollutant, PM10, with a strong impact on human health that has been highly neglected in the literature. Despite the great use of CO2 in assessing the causal relationship between tourism and the environment, this is not the best indicator of air quality (AQ). This chapter presents results by applying vector autoregressive models (VAR) with monthly data for the period of 2007-2017, considering the nationality of tourists that visit Portugal. Results suggest that PM10 levels and tourism are negatively correlated (in the Pearson sense) with a link between them in the long run. This relationship is confirmed by the four methodologies tested. The negative relation in Pearson and cointegration results suggests that tourism can be affected by AQ in Portugal and may lead to better AQ.
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Tejaswini, S., N. Sriraam, and Pradeep G. C. M. "Identification of High Risk and Low Risk Preterm Neonates in NICU." In Biomedical and Clinical Engineering for Healthcare Advancement. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0326-3.ch007.

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Infant cries are referred as the biological indicator where infant distress is expressed without any external stimulus. One can assess the physiological changes through cry characteristics that help in improving clinical decision. In a typical Neonatal Intensive Care Unit (NICU), recognizing high-risk and low-risk admitted preterm neonates is quite challenging and complex in nature. This chapter attempts to develop pattern recognition-based approach to identify high-risk and low-risk preterm neonates in NICU. Four clinical conditions were considered: two Low Risk (LR) and two High Risk (HR), LR1- Appropriate Gestational Age (AGA), LR2- Intrauterine Growth Restriction (IUGR), HR1-Respiratory Distress Syndrome (RDS), and HR2- Premature Rupture of Membranes (PROM). An overall cry unit of 800 (n=20 per condition) was used for the proposed study. After appropriate pre-processing, Bark Frequency Cepstral Coefficient (BFCC) was estimated using three methods. Schroeder, Zwicker and Terhardt; and Transmiller; and a non-linear Support Vector Machine (SVM) Classifier were employed to discriminate low-risk and high-risk groups. From the simulation results, it was observed that sensitivity specificity and accuracy of 91.47%, 91.42%, and 92.9% respectively were obtained using the BFCC estimated for classifying high risk and low risk with SVM classification.
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Conference papers on the topic "Vector-indicator"

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Cai, Jing, Xia Li, Fang Li, Dandan Wang, Yilang Jiang, and Yan Li. "A Novel Static Security Analysis and Evaluation for Large Power Grid via Vector Angle Indicator." In 2024 4th International Conference on Electrical Engineering and Control Science (IC2ECS). IEEE, 2024. https://doi.org/10.1109/ic2ecs64405.2024.10928714.

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Imane, Mjimer, Es-Saadia Aoula, and El Hassan Achouyab. "Using Support Vector Regression to Predict the Overall Equipment Effectiveness Indicator*." In 2022 International Conference on Intelligent Systems and Computer Vision (ISCV). IEEE, 2022. http://dx.doi.org/10.1109/iscv54655.2022.9806111.

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Zhang, Yixin, Xinsheng Wang, Shanmin Pang, Jiakun Zhao, and Xiuxiu Bai. "Combining Self-Aggregation Vector and Indicator Matrix for Improved Object Retrieval." In 2019 Chinese Automation Congress (CAC). IEEE, 2019. http://dx.doi.org/10.1109/cac48633.2019.8997093.

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Liu, Peng, Hanning Chen, Keyi Liu, et al. "Vector angle-based and ISDE+ indicator selection for many-objective evolutionary optimization." In Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), edited by Jie Zhang and Ning Sun. SPIE, 2024. http://dx.doi.org/10.1117/12.3031067.

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Dejun Chen, Panpan Zou, and Nan Zhao. "A research on the construction process of integrated indicator system based on vector space model." In 2014 International Conference on System Science and Engineering (ICSSE). IEEE, 2014. http://dx.doi.org/10.1109/icsse.2014.6887934.

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Domboski, Kristen, Raymond McCauley, Mike Morton, Andrea Liem, and Michael Keefe. "Design of a Multi-Function Vector Bar." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87029.

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The University of Delaware Department of Mechanical Engineering curriculum includes a senior design project, where teams address real design challenges facing local firms. The SURVICE Engineering Company tasked a team to design an improved metrology vector bar for use with an indoor global positioning system (iGPS) computer system. This vector bar needed to be ergonomic, easy to use, and easy to manufacture. To fulfill these requirements, metrics for a smaller, lighter, and more ergonomically designed Multi-Function Vector Bar were established. To encompass these metrics, four different subsystems were identified and integrated into a final design. Of these systems, emphasis was placed on a new ergonomic handle designed through an iterative process. New features were added to the handle to facilitate a decrease in human error and an increase in functionality. Multiple handle models were designed and tested to accomplish this. The final handle design resulted in a balanced, lighter, and more comfortable prototype that had two control buttons and indicator lights.
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Sahono, Muhammad Nurfauzi, Fiqie Ulya Sidiastahta, Guruh Fajar Shidik, et al. "Extrovert and Introvert Classification based on Myers-Briggs Type Indicator(MBTI) using Support Vector Machine (SVM)." In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic). IEEE, 2020. http://dx.doi.org/10.1109/isemantic50169.2020.9234288.

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Liu, Jinze, Jian Feng, Qi Xiao, Shaoning Liu, Feiran Yang, and Senxiang Lu. "Fault Diagnosis of Rod Pump Oil Well Based on Support Vector Machine Using Preprocessed Indicator Diagram." In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2021. http://dx.doi.org/10.1109/ddcls52934.2021.9455702.

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Shang, Zhengkun, Yuqing Qin, Yudong Wang, Fei Li, Hao Shen, and Jing Wang. "The IGD+ Indicator and Reference Vector Guided Evolutionary Algorithm for Many-objective Optimization Problems." In 2021 Australian & New Zealand Control Conference (ANZCC). IEEE, 2021. http://dx.doi.org/10.1109/anzcc53563.2021.9628253.

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Dumitru, D. "FAST DETECTION OF CHAOTIC OR REGULAR BEHAVIOR OF DOUBLE PENDULUM SYSTEM: APPLICATION OF THE FAST NORM VECTOR INDICATOR METHOD." In 3rd South-East European Conference on Computational Mechanics. Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2014. http://dx.doi.org/10.7712/130113.4404.s2022.

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Reports on the topic "Vector-indicator"

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Ullman, Diane E., Benjamin Raccah, John Sherwood, Meir Klein, Yehezkiel Antignus, and Abed Gera. Tomato Spotted Wilt Tosporvirus and its Thrips Vectors: Epidemiology, Insect/Virus Interactions and Control. United States Department of Agriculture, 1999. http://dx.doi.org/10.32747/1999.7573062.bard.

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Objectives. The major aim of the proposed research was to study thrips-TSWV relationships and their role in the epidemiology of the virus with the aim of using this knowledge to reduce crop losses occurring due to epidemics. Our specific objectives were: To determine the major factors involved in virus outbreaks, including: a) identifying the thrips species involved in virus dissemination and their relative role in virus spread; b) determining the virus sources among wild and cultivated plants throughout the season and their role in virus spread, and, c) determining how temperature and molecular variations in isolates impact virus replication in plants and insects and impact the transmission cycle. Background to the topic. Tospoviruses are among the most important emerging plant viruses that impact production of agricultural and ornamental crops. Evolution of tospoviruses and their relationships with thrips vector species have been of great interest because of crop damage caused world wide and the complete absence of suitable methods of control. Tospoviruses threaten crops in Israel and the United States. By understanding the factors contributing to epidemics and the specific relationships between thrips species and particular tospoviruses we hope that new strategies for control can be developed that will benefit agriculture in both Israel and the United States. Major conclusions, solutions, achievements. We determined that at least three tospoviruses were involved in epidemics in Israel and the United States, tomato spotted wilt virus (TSWV), impatiens necrotic spot virus (INSV) and iris yellow spot virus (IYSV). We detected and characterized INSV for the first time in Israel and, through our efforts, IYSV was detected and characterized for the first time in both countries. We demonstrated that many thrips species were present in commercial production areas and trap color influenced thrips catch. Frankliniella occidentalis was the major vector species of INSV and TSWV and populations varied in transmission efficiency. Thrips tabaci is the sole known vector of IYSV and experiments in both countries indicated that F. occidentalis is not a vector of this new tospovirus. Alternate plant hosts were identified for each virus. A new monitoring system combining sticky cards and petunia indicator plants was developed to identify sources of infective thrips. This system has been highly successful in the U.S. and was used to demonstrate to growers that removal of plant sources of infective thrips has a dramatic impact on virus incidence. Finally, a putative thrips receptor mediating acquisition of TSWV was discovered. Implications, scientific and agricultural. Our findings have contributed to new control measures that will benefit agriculture. Identification of a putative thrips receptor for TSWV and our findings relative to thrips/tospovirus specificity have implications for development of innovative new control strategies.
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Jacques, I. J., A. J. Anderson, and S. G. Nielsen. The geochemistry of thallium and its isotopes in rare-element pegmatites. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328983.

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The Tl isotopic and trace element composition of K-feldspar, mica, pollucite and pyrite from 13 niobium-yttrium-fluorine (NYF)-type and 14 lithium-cesium-tantalum (LCT)-type rare-element pegmatites was investigated. In general, the epsilon-205Tl values for K-feldspar in NYF- and LCT-type pegmatites increases with increasing magmatic fractionation. Both NYF and LCT pegmatites display a wide range in epsilon-205Tl (-4.25 to 9.41), which complicates attempts to characterize source reservoirs. We suggest 205Tl-enrichment during pegmatite crystallization occurs as Tl partitions between the residual melt and a coexisting aqueous fluid or flux-rich silicate liquid. Preferential association of 205Tl with Cl in the immiscible aqueous fluid may influence the isotopic character of the growing pegmatite minerals. Subsolidus alteration of K-feldspar by aqueous fluids, as indicated by the redistribution of Cs in K-feldspar, resulted in epsilon-205Tl values below the crustal average (-2.0 epsilon-205Tl). Such low epsilon-205Tl values in K-feldspar is attributed to preferential removal and transport of 205Tl by Cl-bearing fluids during dissolution and reprecipitation. The combination of thallium isotope and trace element data may be used to examine late-stage processes related to rare-element mineralization in some pegmatites. High epsilon-205Tl and Ga in late-stage muscovite appears to be a favorable indicator of rare-element enrichment LCT pegmatites and may be a useful exploration vector.
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