Purpose–This study aims to contribute to the fire research by developing a fire report management system for the BFP that can analyze spatiotemporal attributes of fire and 520apply Knowledge Discovery in Databases (KDD) methods to identify patterns of fire incidents in the city of Manila.Method–The proponents applied the Knowledge Discovery in Databases (KDD) methods for the processing of identifying fire patterns as well as the application of SMOTE, One-Hot Encoding, and Agile Method as Software developmental model. Result–The records obtained from the BFP headquarters in Manila had a total of 3,506 cases during the six years from 2011 to 2016. The accuracy of the Decision Tree classifier model was 95.92%.Using KDD approach, it generated decision rules fire pattern in Manila. Most fire causes fall under the 'Under Investigation' category while Residential-Commercial types of establishments in Intramuros were affected. Lastly, the fire occurred in the mornings, during Sundays when most people are in their homes and the majority of which took place in the Pandacan district.Conclusion–The application of KDD in building a predictive model to be integrated into the system was the major part of this project. The outputs generated by the system can provide material for use in more accurate fire risk assessments, more efficient allocation of fire resources and personnel, and more targeted fire awareness and prevention programs.Recommendation–Future research in this area may include other factors contributing to a higher likelihood of fire incidences such as weather conditions and other geographical attributes of fire-prone locations. Analysis of these and other relevant factors may allow the BFP to gainfurther insights into the causes of fire incidents, which will enable the agency to make the necessary adjustments and changes in their current fire prevention and risk reduction programsPractical Implication–This study provides direct implication for the Bureau of Fire Protection and community through the given insights of the fire activities and the created model of the system that determine Manila's fire patterns that help identify appropriate information about fire activities and preventive measures of fire incidents.
One of the increasing concept nowadays in ecommerce is social commerce. Social commerce is the buying and selling of goods and services through the use of social networking sites. In addition, social commerce primarily affects the millennials composed mostly of college students. This study was conducted to determine the characteristics of students in terms of age and sex and their relationship to the factors affecting the acceptance of social commerce. The factors were based on the User Acceptance of Technology: Towards Unified View. Facebook was considered as the platform of social commerce in this study. The questionnaire was answered by 100 respondents composed of Bachelor of Science in Information Technology and Bachelor of Science in Business Management. Descriptive statistics was used such as frequency count, percentage and mean to determine the characteristics of the participants and factors affecting social commerce acceptance. Pearson correlation was used to find the relationship between the characteristics and factors affecting social commerce acceptance of students in a State University.
Product design over the past few decades has moved towards shorter life cycles, shorter design cycles while simultaneously having to satisfy multiple market segments. Global companies have responded to this challenge by designing products based on architectures, to meet these new market requirements. However, designing products based on architecture levies a significant tradeoff penalty on the derivative variants when compared to custom requirement-specific design. All derivative variants sharing the common architecture will have to carry the engineering weight of the variant with the most stringent performance requirements. This makes architecture definition a crucial step in achieving market success. The architecture definition process has three primary steps: architecture bandwidth definition, determining the number of variants and definition of the bandwidth of each variant. A study of the current architecture definition process in a large automobile manufacturer determined that the bandwidth and variant decision making process was entirely manual and dependant on the skill & experience of the personnel involved. This paper defines a math-based framework to define, determine and visualize the entire solution space of product variants in an individual architecture. A case study was built around a midsize vehicle architecture; with elemental physics and dynamics determining the performance attributes of each variant solution. A commercial simulation solution provided the marketshare simulation, for all the potential virtual vehicles in the solution space, providing a connection for engineering requirements to market performance. This paper begins with a brief overview of the architecture design space, walks through an analytical framework to define product architecture, and finally, future steps for this line of research.
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