Auflistung Scholarly and Creative Works of Faculty Members and Researchers nach Erscheinungsdatum
Anzeige der Dokumente 1-20 von 26
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A hybrid middleware for RFID-based parking management system using group communication in overlay networks
; Lee, Young-seok
; Yang, Hyunho ; (IEEE, 2007)
A hybrid middleware for RFID-based parking management system is presented in this paper. The publish-subscribe approach is combined with group communication in overlay networks in the design of event monitors and application ... -
Hierarchical clustering and association rule discovery process for efficient decision support system
Gerardo, Bobby; ; (Springer-Verlag Berlin Heidelberg, 2011)
This paper proposed a model based on hierarchical Clustering and Association Rule, which is intended for decision support system. The proposed system is intended to address the shortcomings of other data mining tools on ... -
A rule-based fuzzy diagnostics decision support system for tuberculosis
(IEEE, 2011-11-03)The system is specialized for pulmonary physicians focusing on tuberculosis and for patients already diagnosed with tuberculosis. The main focus for the development of the system is on the architecture and algorithm used ... -
Attaining reliability and energy efficiency in cloud data centers through workload profiling and SLA-Aware VM assignment
(International Center for Scientific Research and Studies, 2015-03)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 ... -
Cloudswitch: A state-aware monitoring strategy towards energy-efficient and performance-aware cloud data center
Elijorde, Frank; Lee, Jaewan (Korean Society for Internet Information, 2015-12-31)
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 ... -
Neural network model using back-propagation algorithm with momentum term for credit risk evaluation system
; Gerardo, Bobby; (The SCIence and Engineering Institute (SCIEI), 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 ... -
Tracking and prediction of dengue outbreak using cloud-based services and artificial neural network
Elijorde, Frank I.; ; Gerardo, Bobby D. ; (Science and Engineering Research Support Society, 2016)
Dengue is considered as one of the diseases which needs serious attention, especially in the less developed areas of the world. In order to allow sufficient time in taking necessary decisions and actions to safeguard the ... -
Association of circulating serum miR-34a and miR-122 with dyslipidemia among patients with non-alcoholic fatty liver disease
Salvoza, Noel C.; ; ; Baclig, Michael O. (Public Library of Science, 2016)
Non-alcoholic fatty liver disease (NAFLD) covers a spectrum of diseases from simple steatosis to non-alcoholic steatohepatitis, with approximately 20% risk of progressing to fibrosis and cirrhosis. The aim of this study ... -
Goal-driven optimization strategy for energy and performance-aware data centers for Cloud-based Wind Farm CMS
; Kim, Sungho; (Korean Society of Internet Information, 2016-03-31)
A cloud computing system can be characterized by the provision of resources in the form of services to third parties on a leased, usage-based basis, as well as the private infrastructures maintained and utilized by individual ... -
A Novel approach for determining distributed generations penetration level using Least Square Minimization (LSM) curve fitting
; ; Gallega-Hisole, Godelyn; Cabacas, Regin A. ; Ra, In-Ho (Fuji Technology Press Ltd., 2016-09-01)
With the publicized benefits offered by renewable energy resources, more and more households embrace the utilization of stand-alone installations ranging from small to medium scale systems. In literature, several studies ... -
A computer vision-based assistive mobile application for the visually impaired
; ; ; Byun, Yung-Cheol (The Korean Institute of Electrical Engineers, 2016-12)
People with visual disabilities suffer environmentally, socially, and technologically. Navigating through places and recognizing objects are already a big challenge for them who require assistance. This study aimed to ... -
An improved OTP grid authentication scheme email-based using middle-square for disaster management system
Balilo, Benedicto B., Jr.; Gerardo, Bobby D. ; Medina, Ruji P. ; (Science and Engineering Research Support Society, 2017-11-06)
Disaster is an attempt to control or access the system without legal/valid permission and proper authorization protocol from legitimate entity. Nowadays, most organizations managed to save records in an online database ... -
On the use of multi-lingual approach for a cloud-based transcription system for the ‘Ilonggoish’ dialect
Alibagon, Rowena; Elijorde, Frank ; De Castro, Joel ; Byun, Yung-Cheol (Science and Engineering Research Support Society, 2018)
The study is aimed at the development of a Transcription System for ‘Ilonggoish’ Dialect, which is a widely-spoken local language in the Philippines. It is a software that records speech in .wav file format, transcribes ... -
Multi-level attribute-based matching approach towards energy-efficient resource provisioning in cloud data centers
Kim, Sungho; ; (Little Lion Scientific, 2018-01-31)
In this paper, we present a resource provisioning technique which classifies data center entities through their attributes as characterized by their resource requirements. The classification process enables the multilevel ... -
A prediction-based curriculum analysis using the modified artificial bee colony algorithm
Cutad, Reir Erlinda E.; Gerardo, Bobby D. (Science and Information Organization, 2019)
Due to the vast amount of students' information and the need of quick retrieval, establishing databases is one of the top lists of the IT infrastructure in learning institutions. However, most of these institutions do not ... -
Prediction-based model for student dropouts using modified mutated firefly algorithm
; Gerardo, Bobby D. (World Academy of Research in Science and Engineering, 2019)
Academic database is considered as the heart and soul of every higher education institutions. This database contains a vast amount of useful information that is useful for analysis. Algorithms for machine learning play a ... -
The enduring silence of violence in the nursing workforce: An emerging phenomenon
Silloriquez, Ma. Nelia P. (International Journal of Innovation, Creativity and Change, 2019)
This phenomenological study aims to understand the lived experiences of nurses dealing with workplace violence in two tertiary hospital settings. Participants include nurses who had personally experienced two or more ... -
A modified Otsu-based image segmentation algorithm (OBISA)
Unajan, Magdalene C.; Gerardo, Bobby D. ; Medina, Ruji P. (Newswood Limited, 2019-03-13)
Image thresholding is usually a preprocessing step in a number of image processing algorithms. The segmented images are input for image analyses, computer vision, and visualizations and object representation. Otsu thresholding ... -
Improving self-organizing map with Nguyen-Widrow initialization algorithm
; Gerardo, Bobby; Medina, Ruji (Institute of Advanced Engineering and Science (IAES), 2019-07)
The quality of cluster result and the learning speed of Self-organizing map (SOM) are dependent on the initialization of weights since the initial values for weight vectors affect the performance of SOM training when applied ... -
Performance evaluation of lightweight advanced encryption standard hardware implementation
Acla, Herman B.; Gerardo, Bobby D. (Blue Eyes Intelligence Engineering and Sciences Publication, 2019-07-02)
Advanced Encryption Standard (AES) is one of the most secured encryption algorithm because of its robustness and complexity. Because of its complexity, AES has slow computation. This paper presents a Lightweight Advanced ...
