Iloilo, Philippines

West Visayas State University
Iloilo, Philippines

West Visayas State University is a Research University and Normal State University in the Western Visayas region of the Philippines with its main campus in La Paz, Iloilo City. It is one of the twenty accredited Philippine Universities of the University Mobility in Asia and the Pacific. Originally founded by the Thomasites who came to the Philippines in the early 1900s, it was a part of Philippine normal school system under the American occupation until it became separate and formally established in 1924. The University is the most prominent institution in Western Visayas in the field of Teacher Education, Nursing and Medicine.The Philippine Commission on Higher Education named the University one of the Centers of Excellence in Teacher Education in the Philippines. Wikipedia.

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Cabauatan R.J.M.,Technological Institute of the Philippines | Gerardo B.D.,West Visayas State University
ACM International Conference Proceeding Series | Year: 2016

Discovering patterns from telecommunication usage logs requires methodical procedures yet could reveal hidden information. In this paper, polytomous logistic regression has been applied to facilitate the discovery of these patterns. With an objective of determining characteristics of different categories of subscribers, data mining methods and techniques were used to extract and select data from collated text messages of network users. These were further normalized and cross-validated for model creation. Results disclosed hidden distinct attributes associated with each type of SMS users. These characteristics could facilitate the creation of new schemes of SMS packages as well as bundling of other services, hence a tipoff for improvement of business strategies for maximizing revenue of telecommunication companies. © 2016 ACM.

Elijorde F.,West Visayas State University | Lee J.,Kunsan National University
KSII Transactions on Internet and Information Systems | Year: 2015

The reduction of power consumption in large-scale datacenters is highly-dependent on the use of virtualization to consolidate multiple workloads. However, these consolidation strategies must also take into account additional important parameters such as performance, reliability, and profitability. Resolving these conflicting goals is often the major challenge encountered in the design of optimization strategies for cloud data centers. In this paper, we put forward a data center monitoring strategy which dynamically alters its approach depending on the cloud system’s current state. Results show that our proposed scheme outperformed strategies which only focus on a single metric such as SLA-Awareness and Energy Efficiency. © 2015 KSII.

Elijorde F.,West Visayas State University | Lee J.,Kunsan National University
International Journal of Advances in Soft Computing and its Applications | Year: 2015

To attain the desired reliability and energy efficiency of a cloud data center, trade-offs should be carried out between system performance and power consumption. Although the deployment of energy-efficient hardware is a crucial step, getting rid of underutilized servers is a far more effective approach. Achieving this in a cloud data center would require monitoring resource utilization as well as managing the quality of service and the profitability of a cloud infrastructure. In this study, we propose a resource provisioning technique which involves clustering of similar VMs in a cloud datacenter based on their workload profile. We then combine it with an SLA-aware approach for VM assignment in order to improve the efficiency of virtual resource provisioning and increase the quality of service. The proposed approach was compared with other techniques and as shown by the results, performance and energy efficiency is improved.

Elijorde F.,West Visayas State University | Kim S.,Kunsan National University | Lee J.,Kunsan National University
KSII Transactions on Internet and Information Systems | Year: 2014

Wind energy has proven its viability by the emergence of countless wind turbines around the world which greatly contribute to the increased electrical generating capacity of wind farm operators. These infrastructures are usually deployed in not easily accessible areas; therefore, maintenance routines should be based on a well-guided decision so as to minimize cost. To aid operators prior to the maintenance process, a condition monitoring system should be able to accurately reflect the actual state of the wind turbine and its major components in order to execute specific preventive measures using as little resources as possible. In this paper, we propose a fault detection approach which combines cluster analysis and frequent pattern mining to accurately reflect the deteriorating condition of a wind turbine and to indicate the components that need attention. Using SCADA data, we extracted operational status patterns and developed a rule repository for monitoring wind turbine systems. Results show that the proposed scheme is able to detect the deteriorating condition of a wind turbine as well as to explicitly identify faulty components. © 2014 KSII.

Gante D.D.,Technological Institute of the Philippines | Gerardo B.D.,West Visayas State University | Tanguilig B.T.,Technological Institute of the Philippines
2016 6th International Workshop on Computer Science and Engineering, WCSE 2016 | Year: 2016

This paper present the results of an experiment made with the aid of KangarooBPNN, a graphical user interface software in order to find the Mean Squared Error (MSE) of a supervised neural network model. In the previous experimentation or study, NN-1B model was considered to be a good neural network model with 20 input neurons, 10 hidden neurons and 1 output neuron using 0.3 and 0.4 learning rate and accuracy rate respectively at 10,000 epochs. The German credit dataset was used to train and test the said neural network model using the back-propagation algorithm with momentum term for credit risk evaluation system. The results were recorded in a tabular form, compared and analyzed carefully. Then it was compared with the result of the previous study wherein the traditional back-propagation algorithm was used. Moreover, based on the comparison made by the researchers, it shows that it is better to use the back-propagation algorithm with momentum term than the traditional back-propagation algorithm.

Lalis J.T.,Cebu Institute of Technology | Gerardo B.D.,West Visayas State University | Byun Y.,Jeju National University
International Journal of Multimedia and Ubiquitous Engineering | Year: 2014

In training artificial neural networks, Backpropagation has been frequently used and known to provide powerful tools for classification. Due to its capability to model linear and non-linear systems, it is widely applied to various areas, offering solutions and help to human experts. However, BP still has shortcomings and a lot of studies had already been done to overcome it. But one of the important elements of BP, the stopping criterion, was given a little attention. The Fisher's Iris data set was used to this study as input for standard B.P. Three experiments, using the different training set sizes, were conducted to measure the effectiveness of the proposed stopping criterion. The accuracy of the networks, trained in different data set sizes were also tested by using the corresponding testing sets. The experiments have shown that the proposed stopping criterion enabled the network to recognize its minimum acceptable error rate allowing it to learn to its maximum potential based on the presented patterns. The ubiquitous stopping criterion presented in this paper proved that the number of iterations to train the network should not be dictated by human since the accuracy of the network depends heavily on the number and quality of the training data. © 2014 SERSC.

Guevara N.,West Visayas State University
International maritime health | Year: 2010

The Philippines is currently the world's leading supplier of seafarers aboard foreign vessels, accounting for nearly a quarter of the world's maritime industry. Seafarers, being mobile, have a significant contribution impact on the worldwide spread of infectious diseases such as sexually transmitted infections (STIs). This study aims to determine the level of knowledge, as well as the attitudes and practices (KAP) of male Filipino seafarers regarding sexual health. A cross-sectional survey was administered through convenience sampling of male Filipino seafarers. The respondents showed the least knowledge about prevention, followed by transmission of STIs. The respondents showed adequate knowledge about risk factors such as multiple sex partners, and about transmission such as vertical spread. In addition, the respondents indicated their attitude and level of responsibility in informing their sexual partners in case they contract STIs and avoidance of high-risk partners. They also showed attitudes that predispose them to high-risk behaviour such as decreased sexual sensation caused by use of condoms and added pleasure in having intercourse with strangers. The majority of respondents were sexually active. Most have STI/HIV screening as part of their pre-employment medical exam. Positive practices include use of condoms, voluntary medical evaluation for STI's, and avoidance of high-risk partners. Negative practices include going to bars closely linked with prostitution, and most of the respondents had had sexual intercourse with sex workers overseas. Male seafarers appear to have double standards regarding women as sexual partners - about half had intercourse outside their stable relationships. They perceive protection as their sole discretion.

Tantiado R.G.,West Visayas State University
International Journal of Bio-Science and Bio-Technology | Year: 2012

This study aimed to (1) categorize the diversity of medicinal plants in Tigbauan, Iloilo, Philippines based on their taxonomic rank; (2) document the traditional uses, preparations and applications of medicinal plants (ethnopharmacology) by the local community; (3) determine the distribution, morphological forms, habitat and values of indigenous medicinal plant resources in Tigbauan, Iloilo; and lastly identify and enumerate the medicinal uses of each identified indigenous plants. Ethnopharmacological and taxonomic data of indigenous medicinal plants were collected in the study site through semi-structured interview and snowball sampling methods among knowledgeable elders, gardeners, healers, and traders. The taxonomic classification of the indigenous medicinal plants in Tigbauan, Iloilo was based on Cronquist's System of classification. A total of 101 species, grouped within 92 genera, 44 families and 27 orders. The medicinal plants were described according to preparation techniques, mode of application, administration route, growth forms, habitat distribution, abundance and medicinal uses. Results showed a diversity of medicinal plants, traditional and ethnopharmacological knowledge about the uses, preparations and applications present and maintained among the Tigbauenos. This study allowed the identification of many high value and high priority medicinal plant species, indicating high potential for economic development through sustainable collection and trade.

Tantiado R.G.,West Visayas State University
International Journal of Bio-Science and Bio-Technology | Year: 2012

Mutagenic dyes are risk for the health of workers, consumers and for the environment. Mutagenicity of chemical present on textiles could be seen as a major clue towards carcinogenic activities of these chemicals. This study was conducted to determine the comparative mutagenic effects of laboratory dyes on Drosophila melanogaster. Bioaccumulation of the laboratory dyes used, malachite green, safranin, crystal violet and methylene blue were allowed to induce mutations from the parental generations up to the second filial generations of D. melanogaster with constant exposure to the laboratory dyes used at 1% and 5% concentrations. Results of the study showed that constant exposure of the fruit flies at 1% and 5% concentrations of the laboratory dyes used increased the rate of mutations on the color of the eyes, body color and wing shapes of D. melanogaster. Chi-square statistic at 0.05 level of significance showed no significant difference on the incidence of mutation on the fruit flies phenotype. Thus, this showed that constant exposure to the laboratory dyes at varying concentrations could induce mutation.

Abaya S.A.,University of the East in Philippines | Gerardo B.D.,West Visayas State University
2013 2nd International Conference on E-Learning and E-Technologies in Education, ICEEE 2013 | Year: 2013

This paper aims to classify the demographics that affect successful high school recruitment. It also aims to minimize the workload of the admission/recruitment personnel in planning school-to-school promotion without compromising the chance of recruiting more high school students. Historical data of College Entrance Test examinees is used for classification. In view of this, the researchers have developed a system based on the C4.5 decision tree algorithm to enhance the strategy of planning. © 2013 IEEE.

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