San Marcelino, Philippines
San Marcelino, Philippines

Adamson University is a private and Catholic university in Manila, Philippines, founded on June 20, 1932 by Greek immigrant George Lucas Adamson as the Adamson School of Industrial Chemistry. On February 5, 1941, the school was granted university status by the Department of Education, and on December 4, 1964, the university was turned over to the Vincentian Fathers of the Congregation of the Mission and was incorporated into the Adamson-Ozanam Education Institutions, Inc. Adamson University is also a Member of the University Athletics Association of the Philippines . Its patron saint is Saint Vincent de Paul.Adamson University has programs in Graduate School, Law, the Liberal Arts, science, Engineering, Nursing, Pharmacy, Architecture, Business Administration, Education, as well as secondary, elementary, and preparatory education. Adamson University has eight courses listed as Centers of Development and Centers of Excellence by the Commission on Higher Education and has been granted Autonomous status.Adamson University has been included in the top 201+ universities in Asia through Quacquarelli Symonds Asia University Rankings 2011. This makes Adamson University as top 9 in the rankings nationwide and top 5 in the Metro Manila area. Wikipedia.

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Ballesteros F.C.,University of the Philippines at Diliman | Salcedo A.F.S.,University of the Philippines at Diliman | Vilando A.C.,Adamson University | Vilando A.C.,Mapua Institute of Technology | And 2 more authors.
Chemosphere | Year: 2016

Heavy metal removal is a significant task that protects our water resources. Fluidized-bed homogeneous granulation process (FBHGP) was used to treat nickel containing wastewaters by recovering nickel in the form of nickel carbonate hydroxide granules with low moisture content rather than soft sludge. This study investigated nickel removal and recovery through HFBGP by determining the effects of varying influent nickel concentrations, [CO3 2−: Ni2+] molar ratios, and pH of the precipitant. This was conducted in a continuous process using a laboratory scale fluidized-bed reactor that determined the effects driven by supersaturation. The best operating conditions that resulted in a 98.8% nickel removal and 97.8% granulation efficiency were 200 mg L−1 influent nickel concentration, 2.0 M R of [CO3 −2:Ni+2], and 10.7 pH of precipitant. Based on SEM analysis, the granules formed have sizes between 0.50 mm and 0.15 mm. EDS results showed that the atomic percentages of nickel carbon, and hydrogen were ∼50%, ∼9–12%, and ∼35% respectively, representing the nickel carbonate compound. The XRD results showed the low symmetry of the granules formed that confirmed the characteristics of nullaginite mineral of Ni2(CO3)(OH)2. © 2016 Elsevier Ltd

Hong Y.-Y.,Chung Yuan Christian University | Beltran A.A.,Adamson University | Beltran A.A.,Mapua Institute of Technology | Paglinawan A.C.,Mapua Institute of Technology
Mathematical Problems in Engineering | Year: 2016

This work proposes an enhanced particle swarm optimization scheme that improves upon the performance of the standard particle swarm optimization algorithm. The proposed algorithm is based on chaos search to solve the problems of stagnation, which is the problem of being trapped in a local optimum and with the risk of premature convergence. Type 1 ′ ′ constriction is incorporated to help strengthen the stability and quality of convergence, and adaptive learning coefficients are utilized to intensify the exploitation and exploration search characteristics of the algorithm. Several well known benchmark functions are operated to verify the effectiveness of the proposed method. The test performance of the proposed method is compared with those of other popular population-based algorithms in the literature. Simulation results clearly demonstrate that the proposed method exhibits faster convergence, escapes local minima, and avoids premature convergence and stagnation in a high-dimensional problem space. The validity of the proposed PSO algorithm is demonstrated using a fuzzy logic-based maximum power point tracking control model for a standalone solar photovoltaic system. © 2016 Ying-Yi Hong et al.

Garcia J.L.,University of Santo Tomas of Philippines | Garcia J.L.,Adamson University | Tongol B.J.V.,University of Santo Tomas of Philippines | Yau S.-L.,National Central University
Electrochimica Acta | Year: 2012

Electrochemical scanning tunneling microscopy (EC-STM) was employed to examine the molecular assembly and electropolymerization processes of 3, 4-ethylenedioxythiophene (EDOT) onto reconstructed and unreconstructed Au(1 00) single crystal electrodes in a 0.1 M HClO 4 electrolyte solution. The EDOT adsorption onto the Au(1 00)-hex surface induced lifting of the reconstruction at potentials as low as E = 0.150V (vs. reversible hydrogen electrode (RHE)), which is clear evidence of the strong EDOT-Au interaction that was also observed by cyclic voltammetry (CV). EC-STM was also able to reveal, for the first time, the dynamic process of EDOT molecular self-assembly onto the Au(1 00)-(1 × 1) surface. The EDOT adlayer was found to fit into a 4√2 × 3√2 unit cell. High-resolution STM imaging revealed a vertically tilted geometry for the EDOT molecules. Electropolymerization was also performed, revealing the solution-process formation of polymer bundles. © 2012 Elsevier Ltd. All rights reserved.

Marcos M.C.M.,Chung Yuan Christian University | Marcos M.C.M.,Cornell University | Chen Y.-J.,Chung Yuan Christian University | Kulhawy F.H.,Adamson University
KSCE Journal of Civil Engineering | Year: 2013

An extensive evaluation of capacity interpretation criteria is presented for driven Precast Concrete (PC) piles under axial compression loading. A database of static load tests for round and square cross-section piles under both drained and undrained loading was developed and utilized in the analysis. The compiled data are generalized into four groups (round - drained, square - drained, round - undrained, and square - undrained) to examine the differences in their behavior. Generally, similar trends for each criterion are noted for the four groups. Statistical analyses show a decreasing COV with increasing pile displacement, and the drained load tests show less variability than the undrained load tests. For drained loading, somewhat higher interpreted capacities are exhibited by round piles than by square piles. In addition, a slightly stiffer normalized load-displacement curve is shown for the drained loading compared to the undrained loading. The drained and undrained databases are further sub-divided by hammer type (drop, air/steam, diesel, and hydraulic) to explore the effects of driving energy and driving resistances on pile capacity. Based on these analyses, the relative merits and interrelationships of these criteria are established, and design recommendations for the use of these methods are suggested in terms of normalized capacity and displacement. © 2013 Korean Society of Civil Engineers and Springer-Verlag Berlin Heidelberg.

Chen Y.-J.,Chung Yuan Christian University | Wu H.-W.,Chung Yuan Christian University | Marcos M.C.M.,Chung Yuan Christian University | Marcos M.C.M.,Adamson University | Lin S.-S.,Chung Yuan Christian University
Geomechanics and Engineering | Year: 2013

An analysis model for predicting the tip bearing capacity of drilled shafts in cohesionless soils is improved in this study. The evaluation is based on large amounts of drilled shaft load test data. Assessment on the analysis model reveals a greater variation in two coefficients, namely, the overburden bearing capacity factor (Nq) and the bearing capacity modifier for soil rigidity (ζqr). These factors are modified from the back analysis of drilled shaft load test results. Different effective shaft depths and interpreted capacities at various loading stages (i.e., low, middle, and high) are adopted for the back calculation. Results show that the modified bearing capacity coefficients maintain their basic relationship with soil effective friction angle (φ), in which the Nq increases and ζqr decreases as φ increases. The suggested effective shaft depth is limited to 15B (B = shaft diameter) for the evaluation of effective overburden pressure. Specific design recommendations for the tip bearing capacity analysis of drilled shafts in cohesionless soils are given for engineering practice. © 2013 Techno-Press, Ltd.

Salcedo A.F.M.,University of the Philippines at Diliman | Ballesteros F.C.,University of the Philippines at Diliman | Vilando A.C.,Adamson University | Lu M.-C.,Chia Nan University of Pharmacy and Science
Separation and Purification Technology | Year: 2016

This study determined the removal of nickel from a synthetic Watts bath electroplating composition (NiCl2·6H2O, NiSO4·6H2O, and H3BO3) by homogeneous fluidized-bed granulation process. The effects of adding calcium ions present in an electroplating bath while varying influent nickel concentration (200 mg·L-1, 300 mg·L-1, and 400 mg·L-1), [CO3 2-:Ni2+] molar ratio (1.0, 1.5 and 2.0) and pH of carbonate precipitant (10.5, 10.8, and 11.0) were evaluated. Calcium ion addition was varied at 20 mg·L-1, 50 mg·L-1, and 100 mg·L-1. The best operating conditions were at 300 mg·L-1 influent nickel concentration, [CO3 2-:Ni2+] molar ratio of 1.5, and pH of 10.8 of the precipitant from different types of water source. The removal of nickel from synthetic Watts bath electroplating wastewater using tapwater was 84.93%, and 92.66% with the addition of Ca2 + ion at 20 mg·L-1. For the synthetic Watts bath electroplating wastewater using reverse osmosis water, nickel removal was 97.08% and 98.51% when pure nickel ion in the solution was used. The characterized granules has low symmetry that confirmed the characteristics of a nullaginite mineral of Ni2(CO3)(OH)2. © 2016 Elsevier B.V. All rights reserved.

Alano F.I.,Adamson University | Anzures A.S.,Adamson University | Ondevilla J.G.,Adamson University | Purio M.A.C.,Adamson University
IEEE Region 10 Annual International Conference, Proceedings/TENCON | Year: 2016

This security system provides a cost-efficient alternative solution to intelligent security systems by using a standard webcam, personal computer, and a PIC microcontroller. This system uses a program developed in NI-LabVIEW which uses image processing. The said program only records the camera input once motion is detected, which reduces the duration of the video footage, disk space needed, as well as the time taken to review the recording. Furthermore, the camera continuously pans the area by using a PIC microcontroller and a servo motor. This feature allows the camera to cover areas outside its regular field-of-view. © 2015 IEEE.

Mauricio A.P.,Adamson University | Payawal J.M.M.,Adamson University | Dela Cueva M.A.,Adamson University | Quevedo V.C.,Adamson University
ICIMSA 2016 - 2016 3rd International Conference on Industrial Engineering, Management Science and Applications | Year: 2016

The Direct Selling Industry in the Philippines is continuously growing as more people become direct sellers. With this, the ability of direct selling companies to manage its sellers will be a challenge. Customer Lifetime Value (CLV), or the monetary value a customer is expected to contribute to the company before churning, is one measure that can be used as a basis for managing customers and for this matter, the computation of the CLV must be accurate enough to be used effectively. However, CLV computation that is specific only for direct selling companies is not yet established. This research used Data Mining Techniques, specifically Binomial Logistic Regression Analysis and Multilayer Perceptron Neural Network to develop a model that can predict CLV based on historical customer's transaction and demographic data. Through Binomial Logistic Regression Analysis, the direct seller's average Service Lifetime was found to be 12 years and the significant factors that affects customer churn was determined as well. Through Multiple Linear Regression Analysis the significant factors that affect customer profit contribution was identified. Markov Chain Analysis was then used to establish possible customer states and a state transition probability matrix. Finally, Multilayer Perceptron Neural Network with 1 hidden layer was used to establish a neural network predictive model. The results are used to develop the final model, which was based on the Present Worth formula. The resulting model has a hold out relative error of 0.018, which indicates a good predictive accuracy of the equation. The model can be used by direct selling companies to help them manage their customers more effectively. © 2016 IEEE.

Marquez J.C.F.,Adamson University | Ronquillo D.J.B.,Adamson University | Fernandez N.B.,Adamson University | Quevedo V.C.,Adamson University
ICIMSA 2016 - 2016 3rd International Conference on Industrial Engineering, Management Science and Applications | Year: 2016

According to the World Health Organization (WHO), road traffic accidents is one of the top causes of death worldwide that claims roughly 1.3 million lives annually. In the Philippines, The Philippine National Police-Highway Patrol Group (PNP-HPG) data showed that there were 15,572 road accidents nationwide for the whole of 2014, with 1,252 persons killed and 9,347 others injured. A comprehensive study was conducted which aims to determine which road traffic accident factors are significant with the severity of road traffic accidents, determine which factors are significant per level of severity, and determine the human factors associated in the occurrence of road traffic accidents that are significant with the levels of severity. Markov Chain Switching Approach enables to determine the probability of occurrence of road traffic accidents and the significant factors that affects the severity of a road traffic accident since it takes into consideration the heterogeneity of the variables and the different time-varying and time-dependent constraints which are not considered by other regression techniques used in road traffic accidents severity literature. © 2016 IEEE.

Bassig K.I.S.,Adamson University | Silverio H.A.,Adamson University
ICIMSA 2016 - 2016 3rd International Conference on Industrial Engineering, Management Science and Applications | Year: 2016

With oil being a non-renewable energy, buyers of aviation fuel are more inclined to purchase Jet-A1 from oil companies that offer the best jet fuel. But the fact of the matter is that, aviation fuel has the same content even when you purchase it from halfway across the world. Although price is an apparent factor that airlines consider when deciding which oil company to choose for as a supplier, there are ambiguous factors that needs to be established so that continuous product development can be made by the aviation fuel organizations. This study used conjoint analysis as a tool to establish the attributes considered by airlines in deciding which oil company will best meet their needs. As a result, the following six attributes of aviation fuel were identified: availability, price, accessibility, manpower, equipment and facilities, and fuel quality and safety. The results indicate that fuel quality has the greatest influence on the respondents' purchasing intentions, followed by price, availability, equipment and facilities, and accessibility. Manpower was the least important attribute with regard to the airlines' buying intention. Based on the results from data analysis, it is concluded that conjoint analysis is an appropriate tool to identify the key attributes of aviation fuel. Using the results presented in this study, aviation fuel companies can better tailor their fuel services to meet the needs of the airlines and thus increase sales. © 2016 IEEE.

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