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Cebu City, Philippines

University of Cebu is an educational institution in Cebu City, Philippines, founded in 1964.It has four campuses: the Main Campus along Sanciangko Street; the Banilad Campus along Gov. Cuenco Ave., Brgy. Banilad; the UC-LM Campus ; and the UC-METC along Alumnos St., Mambaling. Another campus, the UC-South Campus along Sanciangko Street, was demolished and replaced by an expansion of UC's sister company Elizabeth Mall . Wikipedia.

This paper provides an overview of the extent of institutionalization of public participation in environmental governance in the Philippines using the three-pillar framework of the Aarhus Convention and Principle 10 Guidelines: access to information, public participation in decision-making and access to justice in environmental matters. It analyzes the shifting demarcations of public engagement and how these are defined by the interplay of institutional-legal structures with the country's political economy constraints. It argues that while the country appears to have a strong institutional design for public participation, there is a decisively low level of institutionalization of actual participatory processes that could not achieve substantive autonomy from power structures. A critical factor to this is the weakness in public deliberations and interactions among civil society groups in the country that constrain legitimacy of representation, coherence and necessary consolidation in engagements with government institutions. While pluralism is a key tenet of public participation, the situation in the Philippines shows the limitations of its application, particularly amid a patrimonial political context. Such weakness amid complexities in aggregating public interest allows particular interests to predominate in reconfigurations of the boundaries of involvement in environmental matters, displacing otherwise legitimate groups in the margins of collaborative governance. © 2014 Elsevier Ltd.

Nazareno P.A.G.,University of Cebu | Buot I.E.,University of the Philippines at Los Banos
Journal of Ecology and Environment | Year: 2015

During several visits to the Cebu City landfill in the Philippines, plants were observed growing within the area, including on top of the garbage piles. Studying the response of these plants is important in assessing which can be used in remediating metal contaminated soils. This study aimed to determine whether the plants in the Cebu City landfill excluded or accumulated cadmium (Cd) and chromium (Cr) in the plant tissues. The foristic composition of the landfill was analyzed prior to the sample collection. The samples were acid-digested before the desired elements were measured using atomic absorption spectrophotometry (AAS). The Cd and Cr concentrations in the plant root-zone soil were also measured using AAS. The results indicated that the landfill substrate was generally acidic based on the results of the pH measurement. Of the 32 plant species sampled, Cyperus odoratus showed potential for Cd uptake and internal transfer; Cenchrus echina-tus, Vernonia cinerea and Terminalia catappa for Cr uptake, and Cynodon dactylon for Cr internal transfer. The plants in the landfill differed in their response towards the heavy metals. To confrm the behavior of C. odoratus towards Cd, and C. echinatus, C. dactylon, V. cinerea, and T. catappa towards Cr, controlled experiments are recommended, as the plant samples analyzed were collected from the field. © 2015 The Ecological Society of Korea. All rights are reserved.

Troussas C.,University of Piraeus | Virvou M.,University of Piraeus | Espinosa K.J.,University of Cebu
Smart Innovation, Systems and Technologies | Year: 2015

Social networking services tend to promote social relations among people sharing interests, activities, backgrounds, or real-life connections. They consist of a representation of each user, namely a profle, along with of his/her social links and a variety of additional information. Such kind of information can be used as a means for highlighting the educational aspect of social networking services. To this direction, the authors of this chapter used Facebook as a testbed for this research and implemented a multi-language learning application. The main focus of this chapter is on the automatic classifcation of Facebook users, utilizing the aforementioned application, based on their profles. In that way, coherent user clusters can be created and effcient cooperative learning among them can be achieved. Finally, the educational process can be further ameliorated given that cooperation among user clusters is recommended by the system. © Springer International Publishing Switzerland 2015

Campomanes F.P.,University of Cebu | Silapan J.R.,University of Cebu | Blanco A.C.,University of the Philippines at Diliman
ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings | Year: 2015

Light Detection and Ranging (LiDAR) is a remote sensing technology that determines 3D position of points by pulsing a laser to the earth's surface. Building footprint extraction is an application of remote sensing that is useful in urban planning and disaster management. This study uses a computational pixel-based approach to create an initial building mask. An object based image analysis (OBIA) approach was then employed for refinement. The study site is near the Himogaan River in Sagay City, Negros Occidental with an area of approximately 300 square meters. LiDAR derivatives were generated from the LiDAR data while spectral indices were computed from an RGB orthoimage. The normalized digital surface model (nDSM) was created by subtracting the DSM and DTM in order to get the actual height of the objects. A ratio index (RI) image was computed by dividing the LiDAR intensity at 1064 nm with the red band of the orthoimage. A three by three (3×3) range filter was then applied to the resulting RI image to get a range image of the RI. Thresholding was done to the nDSM, number of returns, LiDAR intensity and range of RI for the initial building mask. Using OBIA, the initial mask was refined using geometric features like the ratio of perimeter to area. Accuracy assessment was done by comparing the result with manually digitized building polygons of the area. Classification results indicated higher accuracy in the extraction of building footprints with an overall accuracy of 94.76% compared to a point cloud classification done in TerraScan of the same area which had a producer accuracy of 89.47%. With these detailed and accurate building extraction results, the local government units (LGUs) could use it to aid in urban development and disaster preparedness.

Galarpe V.R.K.R.,Xavier University - Ateneo de Cagayan | Galarpe V.R.K.R.,Mindanao University of Science and Technology | Parilla R.B.,University of Cebu
EnvironmentAsia | Year: 2014

This study assessed the adjacent community in Cebu City Sanitary Landfill (CCSL), Philippines. Data were gathered on April, 2011 using interview-questionnaire covering sixty three households. Areas assessed include the general household profile, perceived opportunities, water resources and utilization, health status and services, waste management practices, and perception to CCSL management and institutions. Result showed that households perceived opportunities in CCSL as a result of employment, resources, and security through informal workforce like scavenging. However, the adjacent community was found to be at high risk owing to use of contaminated groundwater and unsafe waste management practices. These threats were manifested through prevalence of gastrointestinal, respiratory, and dermal diseases. Households also acknowledged the negative impacts to health and environment however their major concern was accessed to employment upon closure and relocation of CCSL. The study provided basis for policy makers and concern institutions on identifying basic services to be made available to the adjacent community considering the closure of CCSL.

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