Reconstruction of Time Series using Optimal Ordering of ICA Components

We investigate the application of Independent Component Analysis (ICA) and the process of optimal ordering of independent components in reconstructing time series generated by mixed independent sources. We use a modified fast neural learning ICA algorithm with a non-linearity dependent on the statistical properties of the observed time series to obtain independent components (IC’s). Experimental results are presented on the reconstruction of both artificial time series and actual time series of currency exchange rates using different error measures. The area of the error profile is introduced as a minimizing parameter to obtain optimal ordered lists of IC’s for the different series. We compare different error measures and different algorithms for determining optimal ordering lists. Our results support the use of an Euclidean error measure for evaluating reconstruction errors and are in favor of a method for obtaining optimal ordering lists based on minimizing the error profile between contributions of independent components in the lists and the observed time series. For the majority of the series considered, we find that quite acceptable reconstructions can be obtained with only the first few dominant IC’s in the lists

Analiza konvergencije modulus metoda za probleme linearne komplementarnosti

The linear complementarity problems (LCP) arise from linear or quadratic programming, or from a variety of other particular application problems, like boundary problems, network equilibrium problems,contact problems, market equilibria problems, bimatrix games etc. Recently, many people have focused on the solver of LCP with a matrix having some kind of special property, for example, when this matrix is an H+-matrix, since this property is a sufficient condition for the existence and uniqueness of the soluition of LCP. Generally speaking, solving LCP can be approached from two essentially different perspectives. One of them includes the use of so-called direct methods, in the literature also known under the name pivoting methods. The other, and from our perspective - more interesting one, which we actually focus on in this thesis, is the iterative approach. Among the vast collection of iterative solvers,our choice was one particular class of modulus based iterative methods.Since the subclass of modulus based-methods is again diverse in some sense, it can be specialized even further, by the introduction and the use of matrix splittings. The main goal of this thesis is to use the theory of H -matrices for proving convergence of the modulus-based multisplit-ting methods, and to use this new technique to analyze some important properties of iterative methods once the convergence has been guaranteed.Problemi linearne komplementarnosti (LCP) se javljaju kod problema linearnog i kvadratnog programiranja i kod mnogih drugih problema iz prakse, kao što su, na  primer, problemi sa graničnim slojem, problemi mrežnih ekvilibrijuma, kontaktni problemi, problemi određivanja tržišne ravnoteže, problemi bimatričnih igara i mnogi drugi. Ne tako davno, veliki broj autora se bavio razvijanjem postupaka za rešavanje LCP sa matricom koja ispunjava neko specijalno svojstvo, na primer, da pripada klasi H+-matrica, budući da je dobro poznato da je ovaj uslov dovoljan da obezbedi egzistenciju i jedinstvenost rešenja LCP. Uopšteno govoreći, rešavanju LCP moguce  je pristupiti dvojako. Prvi pristup podrazumeva upotrebu takozvanih direktnih metoda, koje su u literaturi poznate i pod nazivom metode pivota. Drugoj kategoriji, koja je i sa stanovišta ove teze interesantna, pripadaju iterativni postupci. S obzirom da je ova kategorija izuzetno bogata, mi smo se opredelili za jednu od najznačajnijih varijanti, a  to je modulski iterativni postupak. Međutim, ni ova odrednica nije dovoljno adekvatna, budući da modulski postupci obuhvataju nekolicinu različitih pravaca. Zato smo se odlučili da posmatramo postupke koji se zasnivaju na razlaganjima ali i višestrukim razlaganjima matrice. Glavni cilj ove doktorske disertacije jeste upotreba teorije H -matrica u teoremama o konvergenciji modulskih metoda zasnovanih na multisplitinzima matrice i korišćenje ove nove tehnike, sa ciljem analize bitnih osobina, nakon što je konvergencija postupka zagarantovana

Analiza konvergencije modulus metoda za probleme linearne komplementarnosti

The linear complementarity problems (LCP) arise from linear or quadratic programming, or from a variety of other particular application problems, like boundary problems, network equilibrium problems,contact problems, market equilibria problems, bimatrix games etc. Recently, many people have focused on the solver of LCP with a matrix having some kind of special property, for example, when this matrix is an H+-matrix, since this property is a sufficient condition for the existence and uniqueness of the soluition of LCP. Generally speaking, solving LCP can be approached from two essentially different perspectives. One of them includes the use of so-called direct methods, in the literature also known under the name pivoting methods. The other, and from our perspective - more interesting one, which we actually focus on in this thesis, is the iterative approach. Among the vast collection of iterative solvers,our choice was one particular class of modulus based iterative methods.Since the subclass of modulus based-methods is again diverse in some sense, it can be specialized even further, by the introduction and the use of matrix splittings. The main goal of this thesis is to use the theory of H -matrices for proving convergence of the modulus-based multisplit-ting methods, and to use this new technique to analyze some important properties of iterative methods once the convergence has been guaranteed.Problemi linearne komplementarnosti (LCP) se javljaju kod problema linearnog i kvadratnog programiranja i kod mnogih drugih problema iz prakse, kao što su, na  primer, problemi sa graničnim slojem, problemi mrežnih ekvilibrijuma, kontaktni problemi, problemi određivanja tržišne ravnoteže, problemi bimatričnih igara i mnogi drugi. Ne tako davno, veliki broj autora se bavio razvijanjem postupaka za rešavanje LCP sa matricom koja ispunjava neko specijalno svojstvo, na primer, da pripada klasi H+-matrica, budući da je dobro poznato da je ovaj uslov dovoljan da obezbedi egzistenciju i jedinstvenost rešenja LCP. Uopšteno govoreći, rešavanju LCP moguce  je pristupiti dvojako. Prvi pristup podrazumeva upotrebu takozvanih direktnih metoda, koje su u literaturi poznate i pod nazivom metode pivota. Drugoj kategoriji, koja je i sa stanovišta ove teze interesantna, pripadaju iterativni postupci. S obzirom da je ova kategorija izuzetno bogata, mi smo se opredelili za jednu od najznačajnijih varijanti, a  to je modulski iterativni postupak. Međutim, ni ova odrednica nije dovoljno adekvatna, budući da modulski postupci obuhvataju nekolicinu različitih pravaca. Zato smo se odlučili da posmatramo postupke koji se zasnivaju na razlaganjima ali i višestrukim razlaganjima matrice. Glavni cilj ove doktorske disertacije jeste upotreba teorije H -matrica u teoremama o konvergenciji modulskih metoda zasnovanih na multisplitinzima matrice i korišćenje ove nove tehnike, sa ciljem analize bitnih osobina, nakon što je konvergencija postupka zagarantovana

Bioethanol fuel production from rambutan fruit biomass as reducing agent of global warming and greenhouse gases

The depletion of fossil fuels impacts on the increase of petroleum price and has triggered the finding of alternative and renewable energy. Biofuel has attracted the attention of researchers all over the world due to reducing the environmental impacts of elevated carbon monoxide. Abundant of fruits waste can be reused in the bioethanol production. Hence, it can reduce pollution and waste material, thus, helps in waste disposal management and reducing global warming. The aim of the study of producing bioethanol from rotten rambutan was to manage rambutan wastes, cleaning the environment and reduction of greenhouse gases and global warming. This study was conducted from rambutan fruit waste biomass in different parameters using yeast (Saccharomyces cerevisiae) fermentation. The optimum condition of bioethanol yield was having 3 g of yeast at 30°C by following pH 6 for two days of incubation. Glucose content, total soluble solid (TSS) and pH values reduced after fermentation due to the conversion of glucose to ethanol and carbon dioxide in case of all parameters. The chemical content, viscosity and acid values of the bioethanol produced were within ASTM (American Society for Testing and Materials) standard specifications with less hazardous chemical content in produced bioethanol. Furthermore, the engine test result showed that greenhouse gas emission like hydrocarbon (HC), NOx and SO2 content in E5 and E10 were significantly lower in bioethanol than in 100% gasoline tested in (proton Gen 2 multicylinder) car. Thus, it can potentially be used as good biofuel for petrol engine purposes.Key words: Bioethanol, fruit waste, emission, renewable energy, global warming

Perceived Clinical Readiness of Senior Medical Students as Outcomes of Online Clerkship in the Philippines: New Normal in Medical Education

ABSTRACT TITLE: Perceived Clinical Readiness of Senior Medical Students as Outcomes 0f Online Clerkship in the Philippines: New Normal in Medical Education INTRODUCTION: COVID-19 formed new challenges to the medical institutions; it resulted in the transition from the usual face-to-face classes and direct clerkship training within the hospital to a new remote learning with online lectures and virtual clinical experience. Given the new online interactive setting, problems were raised given the limited patient care and interaction as well as restricted bedside teaching opportunities and its impact on how medical students can acquire and hone their clinical skills. OBJECTIVE: To determine the perceived clinical readiness of the medical clerks in the new normal setting in the Philippines. METHODOLOGY: Convenience sampling was used to gather respondents who were asked to answer an online survey questionnaire. The questions pertained to: academic training profile, clinical skills, patient management, communication, understanding clinical guidelines, and personal development. After analyzing the data, the scales of readiness from these subjects were gathered. RESULTS: The medical clerks in the Philippines perceived that they were ready with regards to understanding clinical guidelines, communication, personal development, and patient management. They were moderately ready in the different clinical skills in the departments of Family and Community Medicine, Internal Medicine, Pediatrics, Surgery and Obstetrics and Gynecology with some specific skills in Surgery and Obstetrics and Gynecology being perceived as less ready than the rest. CONCLUSION: The impact of the pandemic has disrupted the student’s confidence and readiness. This shows that online clerkship in this time of pandemic may have provided learning to a certain degree but it is not enough to replace what face-to-face training could offer

Relationship Of Physical, Socio-economic, And Attitudinal Factors To Elementary School Training And Academic Achievement Of Secondary Pupils.

PhDEducational psychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/182085/2/5803712.pd

Diseño de sistema de abastecimiento de agua potable

La investigación que se presenta tiene como objetivo general diseñar el sistema de abastecimiento de agua potable en la población de Bariro, municipio Buchivacoa del estado Falcón. La investigación es de diseño no experimental, de campo, descriptivo y de modalidad proyecto factible. Para la recolección de los datos se utilizó la técnica de la observación, encuestas y análisis de documentos. La población fue de 2500 habitantes y se seleccionó una muestra de 626. Los resultados de la encuesta socio-sanitaria, reflejo que las condiciones de los habitantes de Bariro, no son óptimas para el desarrollo económico y social de cualquier población, esto por un mal diseño en el sistema de abastecimiento de agua y por la inexistencia e inestabilidad de los pocos servicios básicos con los que cuentan. Se seleccionó la propuesta Nº2 de acuerdo a la factibilidad económica, social y de tiempo.La investigación que se presenta tiene como objetivo general diseñar el sistema de abastecimiento de agua potable en la población de Bariro, municipio Buchivacoa del estado Falcón. La investigación es de diseño no experimental, de campo, descriptivo y de modalidad proyecto factible. Para la recolección de los datos se utilizó la técnica de la observación, encuestas y análisis de documentos. La población fue de 2500 habitantes y se seleccionó una muestra de 626. Los resultados de la encuesta socio-sanitaria, reflejo que las condiciones de los habitantes de Bariro, no son óptimas para el desarrollo económico y social de cualquier población, esto por un mal diseño en el sistema de abastecimiento de agua y por la inexistencia e inestabilidad de los pocos servicios básicos con los que cuentan. Se seleccionó la propuesta Nº2 de acuerdo a la factibilidad económica, social y de tiempo

Multilayer Perceptron for the Future Urban Growth of the Kharj Region in 2040

Urban growth is described as an increase in the size and use of cities, which is frequently the consequence of an increase in the number of residents due to internal or external migration and an increase in economic activity rates. In recent decades, modern technology and mathematical models have been used to determine future urban growth on a large scale and develop sustainable urban policies in the long term. The cities of the Kingdom of Saudi Arabia have witnessed economic growth in recent decades, which has resulted in urban expansion, as is evident in this case study of the Kharj region. Since most of the previous studies have not applied mathematical models to predict the urban growth of the Kharj region, this study aims at simulating urban growth over the next two decades, between 2020 and 2040, by monitoring the growth during the past thirty years, which is the period between 1990 and 2020. This study relies on the satellite visualizations of the Landsat satellites 5, 7, and 8 for classifying the land cover by applying the land change model (LCM) and comparing the land-use maps for the years 2000 and 2020. Then, the factors affecting urban growth, such as distance from the city center, the road network, valleys, and land slopes, are determined to monitor the prediction of urban growth. The results showed that the urban areas extended significantly toward the south, southeast, southwest, and northwest, with an area of 269 km². The results further revealed a significant decline in agricultural and vacant lands due to their transformation into residential areas, educational establishments, and industrial facilities. The model’s accuracy was tested to confirm the mathematical model’s validity. The Kappa index findings indicated a high percentage, ranging from 89% in 2010 to 90% in 2020