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Keyword: TestSpot Toyota: Design and Development of a Mobile Application for Toyota’s Promotion Actions to the Young Audience
This project aims to demonstrate the importance that digital media can have to the development of loyalty programs, namely in creating empathy and proximity relationships between brands and their target audience: young people. This study consisted of the creation of a digital platform for Toyota Portugal, named Spot Toyota, to communicate actions promoted by the…
Read MoreEnhancing Decision Making Capabilities in Humanitarian Logistics by Integrating Serious Gaming and Computer Modelling
The field of humanitarian logistics has in recent times gained an increasing attention from both academics and practitioners communities alike. Although various research groups have addressed theoretical and technical developments in humanitarian logistics using conventional research tools, applied research appears to be often dependent on practitioners’ inputs. This paper is an attempt to fill the…
Read MoreApplications of Causal Modeling in Cybersecurity: An Exploratory Approach
Our research investigates the use of causal modeling and its application towards mapping out cybersecurity threat patterns. We test the strength of various methods of data breaches over its impact on the breach’s discovery time as well as the number of records lost. Utilizing a Causal Modeling framework, we simulate the isolation of confounding variables…
Read MoreAnalysis of Local Rainfall Characteristics as a Mitigation Strategy for Hydrometeorology Disaster in Rain-fed Reservoirs Area
The Gembong reservoir in Pati Regency, Java, Indonesia is a rain-fed reservoir, which experiences a depletion of it carrying capacity. The characteristic of local rainfall is one of the important factors in assessing the potential of hydrometeorology disasters in its area. Sedimentation in watersheds and reservoirs has covered water sources, so local rainfall determines the…
Read MoreEvaluation of Type A Uncertainty in a Network Analyzer From 300 kHz to 8.5 GHz
Network Analyzer is equipment widely used for the execution of radio frequency application scattering parameters. Throughout absolute reading the scattering parameter measured. An absolute reading does not include error, drift, offset, linearity, resolution, coefficient of sensitivity and several other variables that will contribute to the measured measurement dispersion. Type A evaluations of measurement uncertainty clarified…
Read MoreAutomated Abaca Fiber Grade Classification Using Convolution Neural Network (CNN)
This paper presents a solution that automates Abaca fiber grading which would help the time-consuming baling of Abaca fiber produce. The study introduces an objective instrument paired with a system to automate the grade classification of Abaca fiber using Convolutional Neural Network (CNN). In this study, 140 sample images of abaca fibers were used, which…
Read MoreDigestibility, Digestible and Metabolizable Energy of Earthworm Meal (Eisenia Foetida) Included in Two Levels in Guinea Pigs (Cavia Porcellus)
The increasing cost of fishmeal and soybean meal forces us to look for unconventional sources of protein to feed guinea pigs, being able to use earthworm meal Eisenia foetida (EF) with 60-80% high quality raw protein; for this, the contribution of digestible nutrients and metabolizable energy must be known to formulate rations. The objective is…
Read MoreSocioeconomic and Productive Disparity in Child Stunting in the Central Andes of Peru, Taking as a Model the Community of Tunanmarca, Jauja
The differences of stunting through socio-economic and productive indicators in high Andean community of Peru were evaluated ((11°42′58.16′′ S, 75°37′31.13′′ W, altitude 3470 m). Cross-sectional study in 52 mothers with children under 5 years old was carried. A validated nutritional survey was applied. Z-scores height for age and nutritional status were determined using anthropometric methods…
Read MoreUniversity Students Result Analysis and Prediction System by Decision Tree Algorithm
The main assets of universities are students. The performance of students plays a vital role in producing excellent graduate students who will be the future viable leader and manpower in charge of a country’s financial and societal progress. The purpose of this research is to develop a “University Students Result Analysis and Prediction System” that…
Read MoreOrganizational, Social and Individual Aspect on Acceptance of Computerized Audit in Financial Audit Work
Auditors now can no longer rely on the old-fashioned way of auditing manually. More and more jobs, increasingly complex work environment, the demands of the times, accuracy and speed of work require auditors inevitably must adopt technology. This research began with our success as academics in the audit family. Related to Indonesia, a large country…
Read MoreDynamic Objects Parameter Estimation Program for ARM Processors Based Adaptive Controllers
Modern microcontrollers are capable to realize not only traditional PID-regulators but also adaptive ones. Object of control parameters estimation is the biggest part of adaptive control from the point of view of time consumption. The ways to reduce this time for digital control systems based on ARM-CORTEX 32-bit and 64-bit processors are shown in the…
Read MoreEvaluation of Uncertainty Measurement Calculation for Vector Network Analyzer From 300 kHz to 8.5 GHz
Increasing the telecommunications products that allow Vector Network Analyzer is becoming more common tools to measure the S-Parameter. It will be an absolute number from the S-Parameter measurements produced in real and imaginary, other words it is also known as the product of the calculation. The calculation findings do not include the systematic and random…
Read MoreFace Recognition on Low Resolution Face Image With TBE-CNN Architecture
Face recognition in low resolution images has challenges in active research because face recognition is usually implemented in high resolution images (HR). In general, research leads to a combination of pre-processing and training models. Therefore, this study aims to classify low-resolution face images using a combination of pre-processing and deep learning. In addition, this study…
Read MoreEvaluation of Vapor Jet Refrigeration Cycle Driven by Solar Thermal Energy for Air Conditioning Applications: Case Study
The need for air conditioning in rural areas where there is no source of electricity, leads to look for alternative solutions. Usage of Solar thermal system drive vapor jet refrigeration cycle (VJRC) instead of the traditional air conditioning systems, contributes in the reduction of the Global Worming and Ozone Depletion. The main objective of this…
Read MoreDeterminants of Students’ Actual use of the Learning Management System (LMS): An Empirical Analysis of a Research Model
This study built and tested a research model to determine the determinants that impact students’ actual use of the learning management system. A survey questionnaire was used to gather data from 148 university students who used LMS in their course of study. The structural equation model was used to analyze quantitative data. The study revealed…
Read MoreApproach to Combine an Ontology-Based on Payment System with Neural Network for Transaction Fraud Detection
Fraud, as regards means of payment, means the behavior of any legal or natural one that makes an abnormal or irregular use of a way of payment, elements of it or information contained therein, to improperly obtain an honest, service or enrichment, and or causing financial damage to the one that has distributed the means…
Read MoreObject Classifications by Image Super-Resolution Preprocessing for Convolutional Neural Networks
Blurred small objects produced by cropping, warping, or intrinsically so, are challenging to detect and classify. Therefore, much recent research is focused on feature extraction built on Faster R-CNN and follow-up systems. In particular, RPN, SPP, FPN, SSD, and DSSD are the layered feature extraction methods for multiple object detections and small objects. However, super-resolution…
Read MoreThe Usability Evaluation of Academic Progress Information System (SIsKA-NG)
Limited functionalities of the Academic Progress Information System (SIsKA) has direct consequences on the quality of thesis management service at the authors’ magister study program of the authors’ university. This research focused on the significant improvement from the previous User Experience Questionnaire (UEQ) result of SIsKA. That significant improvement was based on the recommendations from…
Read MorePromoting Continuous Professional Development Among Academics from A Vocational College by Using A Practical Workshop Based on Arduino Technology
The internet of things has resulted in the design and development of many electronic sensors that need to be integrated with various technologies. Engineering academics need ongoing training relating to this integration as they need to subsequently teach their students. This relates to continuous professional development. The purpose of this article is to illustrate how…
Read MoreA Comprehensive Study of Privacy Preserving Techniques in Cloud Computing Environment
The huge growth in cloud storage utilization over the past years has made a big demand for an advanced technique and strong tools to make services even more practical and secure. Data privacy in cloud computing has become one of the biggest concerns for both individuals and organizations which adds more pressure on cloud service…
Read MoreA Comparative Analysis of ARIMA and Feed-Forward Neural Network Prognostic Model for Bull Services
Bull service is the natural copulation by a purebred male carabao with a female counterpart. This is part of the bull loan agenda of the Philippine Carabao Center-Visayas State University (PCC-VSU), one of the 12 regional centers of PCC. For the past years, PCC-VSU used averaging of bull services count of previous years and sometimes…
Read MoreHybrid Autogyro: Model and Longitudinal Control for Wind Gust Energy Conversion Using Autorotation
In the new technologies for producing electricity from wind gusts, a new class of wind power converter has been proposed. The hybrid autogyro uses the principle of autorotation to generate lift. This paper proposes to take advantage of this rotation to also generate energy. There are systems that use flying wings or airplanes to reach…
Read MoreIn-Plane Shear Behavior of Unreinforced Masonry Walls Strengthened with Fiber Reinforced Polymer Composites
Unreinforced masonry (URM) wall is one of the oldest types of walls used around the world. During earthquakes, URM walls present a real danger to life safety due to their behavior characterized by a brittle failure caused by their feeble shear resistance to in-plane loads, which make their strengthening necessary. Numerous studies had been used…
Read MoreShear Strength of Unreinforced Masonry Walls Retrofitted with CFRP
This paper investigates the in plane behavior of unreinforced masonry (URM) walls externally strengthening on both sides by different configurations of unidirectional carbon fiber reinforced polymer (CFRP) wraps. In order to evaluate the effectiveness of using the strengthening systems to improve the in plane behavior of masonry walls, the experimental program was conducted by testing…
Read MoreThe Effectiveness of Personality-Based Gamification Model for Foreign Vocabulary Online Learning
Currently, there is a growing interest for applying gamification in e-learning due to innovations in technologies and pedagogies. However, motivation and engagement related problems can arise when the gamification elements are not personalized to match the individual’s needs. Therefore, this research proposes a Hybrid Learning Model that combines both Gamification and Personality Traits to increase…
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