The Virtual Dietitian (VD) application is a nutrition knowledge-based system that generates personalized meal plans in accordance with the one-size-does-not-fit-all concept of precision nutrition. A subset population was not involved its four-part developmental study gym and fitness enthusiasts despite them being important target users. As part our quality improvement (QI) plan, we initiated two-phase user testing to inform modifications VD. We recruited total 30 users prior experience...

The incidence of falls is more commonly experienced by the ageing population globally, due to their increasing frailty. Fall detection systems are being developed combined with machine learning approaches that include those wearable devices, ambience-based systems, and vision-based systems. Wearable omnipresent but intrusive while temperature-dependent require a dedicated GPU. Challenges on fall large computational cost, use specialized camera, system integration into smartphones. This...

Advancing technologies are being done in improvement and enhancement of the smart farming all over world. The growth plants is monitored through vision system image processing to identify their stages. This important since amount light, temperature water varies at each stage. One challenges selection color space that will be appropriate for a particular setup. In this study, K-nearest neighboring used segmentation RGB, HSV, CIELab, YCbCr spaces. specificity sensitivity spaces were computed...

One of the predominant cause diminishing productivity Philippines that affects its residents and industry sectors alike is no other than unresolved traffic. Numerous efforts have been implemented in country to regulate traffic including road expansion, highway development application several schemes. research thrust being studied solution limitation traditional light systems. Existing literatures system embarked on intelligent transportation (ITS) typically based operation real-time density...

The trophic state is one of the significant environmental impacts that must be monitored and controlled in any aquatic environment. This phenomenon due to nutrient imbalance water strengthened with global warming, inhibits natural system progress. With eutrophication, mass algae surface increases results lower dissolved oxygen essential for fishes. Numerous limnological physical features affect thus require extensive analysis asses it. paper proposed a model hybrid classification...

Canopy area measurement is one of the important crop growth factors that considered for yield. This has been widely used parameter all over world. Yet, development a system can automatically computes canopy still challenge. In this study, vision-based proposed. The captures image and process through processing algorithm. extracted feature pixel count. count determines crop. A mathematical model was developed approximation area.

Leaf area can be used as a growth parameter such it increases the stage of lettuce progress. Consideration scale invariance in estimating poses challenging machine vision problems smart farm setup. To address this, marker with known size and components is utilized for system normalizing measurements. This study proposes an automated object detection (marker) using Viola-Jones algorithm that uses Haar features. Based on result this study, high rate applied to 40 test samples obtained by 30...

There are several challenges on how to attain energy efficiency while maintaining balance among factors affecting consumption such as power rating and temperature setpoints of cooling units, room humidity, indoor air quality (IAQ). A real-time IAQ monitoring system were installed in an educational building profile the operational inverter-based condition unit (ACU) each room. Polynomial curve neural fitting regression analysis applied consumption, carbon dioxide (CO2) level data. The derived...

Leaf area is one of the most significant reference tools to characterize plant growth and predict stages. Scale invariance in calculating leaf needs be understood lettuce monitoring context. Using machine vision knowledge-based classifiers, this research produced a system for scale invariant calculation by detecting template marker with known scaling measurements. Results showed that algorithm can improve performance classifiers rejecting false positives even limited number training...

Leaf area can be used as a growth parameter such it increases the stage of lettuce progresses. Consideration scale invariance in estimating poses challenging machine vision problems smart farm setup. To address this, marker with known is utilized for system normalizing measurements. This study proposes an automated object detection (marker) using Viola-Jones algorithm that uses Haar-like, HOG and LBP features. Performances each feature at varying illuminations distances are then compared....

Correct identification of the growth stage crops contributes largely to proper allocation and control environmental factors for optimized harvestable products. Machine vision approaches lettuce prediction has issues such as feature extraction, selection dimensionality reduction optimum classification accuracy, robust framework system. This paper presented a methodology classifying using Hybrid Decision Tree-Fuzzy- Rough Set. Vision features are extracted subjected Tree. The reduced inputs...

Shrimp farming is a highly profitable business in the aquaculture industry. The profitability can be achieved by implementation of better management practices conjunction with optimal shrimp feed and growth monitoring. Manual measurement for on large population tedious difficult task. Underfeeding results to lower rate, overfeeding environmental pollution. Automated, continuous, non-invasive methods therefore such as computer vision are being increasingly employed. However, existing...

Diabetes is a disease which chronic in nature, caused by an elevated blood sugar (or glucose) level. The metabolic linked to several potential serious organ complications including nerves, kidneys, eyes, vessels, and the heart. According International Federation, 2019, about 2 million deaths were recorded worldwide due diabetes. Furthermore, according Philippine Statistics Authority (PSA), Mellitus considered as fifth main cause of Philippines past years 2015 study, 1.7 Filipinos are still...

Due to the advent of COVID-19 pandemic, Philippine government encouraged enterprises and businesses utilize flexible work arrangements such as work-from-home (WFH) or telecommuting setup. Nowadays, key components necessary for a include WiFi-enabled IT equipment, secured environment, reliable internet connection, while research shows that type computer literacy are also factors telework implementation. Multiple studies in relation have already been conducted but some were deemed inconclusive...

Machine vision approaches for lettuce growth stage prediction are continuously being developed.Previous works suggest further extensive study of computer features in determining plant growth.This paper presented an ANN-based decision support system classifying by using extracted that included two morphological (area, perimeter), 12 color (RGB, HSV, YCbCr, Lab), and five textural (contrast, energy, correlation, entropy, homogeneity).Image processing techniques were used to extract the...

In medical imaging, an X-ray image generated using a flat panel detector (digital) typically has poor quality, affecting the capability of successful diagnosis based on images. The enhancement process intends to provide better interpretability information contained in main problems considered for images include quality and low contrast. Therefore, general objectives contrast improvement noise reduction. This study proposes upgraded hybrid algorithm that utilizes consists Contrast Limited...

By the beginning of 2020, illness had been named as COVID-19, which spread due to its extreme severity affecting multiple industries and sectors throughout world. To protect public's health safety, Philippine government has established a number quarantine regulations travel restrictions in reaction current COVID-19 outbreak. Nonetheless, ILO predicted that pandemic would initially disrupt economy labor markets, 11 million employees, or around 25% workforce Philippines. Therefore, continues...

Braille is one of the major tools for teaching visually impaired. Sufficient number teachers engaged in special education involved Filipino not available. One possible approaches to address this problem use computers automation extracting information that can facilitate teaching. Other countries have taken their initiative develop similar technology capable however code including its contractions, and language per se has features are distinct other languages. This research proposes a system...

Shrimp farming is a major industry covering 23% of Philippine annual aquaculture production, which requires performing better management practices (BMPs) including growth monitoring and feed management. Traditionally, monitored manually using analog weighing scale caliper; but the manual measurement tedious task for large-scale farming. Feed entails providing most suitable type based on shrimp's current stage; furthermore, it addresses issues underfeeding overfeeding. The limitations method...

Primary and backup relays pairs are protection schemes for power systems which set in conjunction to one another ensure that the system operates by limiting an abnormality within its zone of protection. Breakpoints starting points all assumptions calculations done systems. Previous methods determining breakpoints favor linear graph theory expert rather than machine learning. In this study, adaptive neuro-fuzzy inference (ANFIS) approach is used determine breakpoint directional overcurrent a...

Attaining high retention rates among engineering institutions is a predominant is-sue. A significant portion of students face challenges retention. Academic advising was implemented to resolve the issue. Decision support sys-tems were developed endeavor. Machine learning have been inte-grated such systems in predicting student performance accurately. Most works, however, rely on black box model approach. Rule induction generates simpler if-then rules, exhibiting clearer understanding. As...

Shrimp species belong to the class of Crustacea under order Decapoda suborder Natantia. The shrimp are characterized with semi-transparent body which grow up more than 20 cm. In terms economic impact, industry is considered highly profitable based on studies by WorldAtlas and Philippine Statistics Authority. Therefore, as part necessary better management principles (BMPs), growth should be monitored. However, for length typically measured a manual tool like rulers or calipers known tedious...

Tropical cyclones are a common occurrence in the Philippines since it is located Western North Pacific region. It essential to monitor and measure rainfall as has implications for reducing disaster risk, agricultural planning, transportation planning. In this study, machine learning artificial neural networks employed classification of acoustic data collected from rain sensor (RAS) developed. Mel-frequency cepstrum coefficients extracted modified into inputs an network (ANN) that classifies...

By early 2020, COVID-19 has caused a global pandemic which led to an enormous number of challenges worldwide in various sectors. The Philippine government implemented multiple quarantine guidelines and travel restrictions ensure the people's health safety. However, International Labour Organization projected initial economic labor market disruption affecting 11 million workers, or about 25% workforce, due pandemic. Therefore, government, thru concerned agencies continues encourage employers...