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Institution

Universidad Tecnológica de Bolívar

EducationCartagena, Colombia
About: Universidad Tecnológica de Bolívar is a education organization based out in Cartagena, Colombia. It is known for research contribution in the topics: AC power & Population. The organization has 507 authors who have published 724 publications receiving 3900 citations. The organization is also known as: UTB & Utb.


Papers
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Journal ArticleDOI
TL;DR: Fragrances, antiseptics and sunscreens were the most reported groups and the largest number of PCPs documented as emerging pollutants were found in wastewater treatment plant effluents, compared to 43 in surface water and 23 in groundwater, which evidence the anthropological contribution ofPCPs to water bodies.

201 citations

Journal ArticleDOI
TL;DR: This paper classified these techniques for ultrasound enhancement into two groups: preprocessing and post-processing, analyzed their benefits and limitations, and presented beliefs about where ultrasound research could be directed to, in order to improve its effectiveness and broaden its applications.

155 citations

Journal ArticleDOI
TL;DR: This paper reviews recent developments of non-contact three-dimensional (3D) surface metrology using an active structured optical probe and discusses principles of each technology, and its advantageous characteristics as well as limitations.
Abstract: This paper reviews recent developments of non-contact three-dimensional (3D) surface metrology using an active structured optical probe. We focus primarily on those active non-contact 3D surface measurement techniques that could be applicable to the manufacturing industry. We discuss principles of each technology, and its advantageous characteristics as well as limitations. Towards the end, we discuss our perspectives on the current technological challenges in designing and implementing these methods in practical applications.

109 citations

Journal ArticleDOI
TL;DR: The results show that it is possible to detect amusement, sadness, and neutral emotions using only galvanic skin response features and the system was able to recognize the three target emotions with accuracy up to 100% when evaluated on the test data set.

107 citations

Journal ArticleDOI
TL;DR: The proposed mathematical approach contemplates the efficient operation of a dc microgrid over a period of time with variable energy purchase prices, which makes it a practical methodology to apply in real-time operating conditions.
Abstract: A mathematical optimization approach for the optimal operation focused on the economic dispatch for dc microgrid with high penetration of distributed generators and energy storage systems (ESS) via semidefinite programming (SDP) is proposed in this paper. The SDP allows transforming the nonlinear and non-convex characteristics of the economic dispatch problem into a convex approximation which is easy for implementation in specialized software, i.e., CVX. The proposed mathematical approach contemplates the efficient operation of a dc microgrid over a period of time with variable energy purchase prices, which makes it a practical methodology to apply in real-time operating conditions. A nonlinear autoregressive exogenous (NARX) model is employed for training an artificial neural network (ANN) for forecasting solar radiation and wind speed for renewable generation integration and dispatch considering periods of prediction of 0.5 h. Four scenarios are proposed to analyze the inclusion of ESS in a dc microgrid for economic dispatch studies. Additionally, the results are compared with GAMS commercial optimization package, which allows validating the accuracy and quality of the proposed optimizing methodology.

95 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202213
202172
2020130
2019109
201869