K-Means Segmentation Based-on Lab Color Space for Embryo Detection in Incubated Egg

The quality of the hatching process influences the success of the hatch rate besides the inherent egg factors. Eliminating infertile or dead eggs and monitoring embryonic growth are very important factors in efficient hatchery practices. This process aims to sort eggs that only have embryos to remain in the incubator until the end of the hatching process. This process aims to sort eggs with embryos to remain hatched until the end. Maximum checking is done the first week in the hatching period. This study aims to detect the presence of embryos in eggs. Detection of the existence of embryos is processed using segmentation. Egg images are segmented using the K-means algorithm based on Lab color images. The results of the image acquisition are converted into Lab color space images. The results of Lab color space images are processed using K-means for each color. The K-means process uses cluster k=3, where this cluster divides the image into three parts: background, eggs, and yolk. Egg yolks are part of eggs that have embryonic characteristics. This study applies the concept of color in the initial segmentation and grayscale in the final stages. The initial phase results show that the image segmentation results using k-means clustering based on Lab color space provide a grouping of three parts. At the grayscale image processing stage, the results of color image segmentation are processed with grayscaling, image enhancement, and morphology. Thus, it seems clear that the yolk segmented shows the presence of egg embryos. Based on this process and results, the initial stages of the embryo detection process used K-means segmentation based on Lab color space. The evaluation uses MSE and MSSIM, with values of 0.0486 and 0.9979; this can be used as a reference that the results obtained can detect embryos in egg yolk. This protocol could be used in a non-destructive quantitative study on embryos and their morphology in a precision poultry production system in the future

Technical-Vocational Livelihood Education: Emerging Trends in Contextualised Mathematics Teaching

Technical-Vocational Livelihood Education (TVLE) Strategies and Indicators (S&Is) are the strategic procedures needed to come up with a well-informed contextualised learning instruction. This study is aimed at exploring the trends in Technical-Vocational Livelihood Education. The focus of this study is on soliciting relevant strategies and indicators (S&I) that can be utilised to develop a contextualised mathematics teaching module. S&Is in this study are consolidated from various experts in the field of curriculum contextualisation who were purposively selected from various regions representing the DepEd Manila, DepEd Mindoro, Marinduque, Romblon, and Palawan (MIMAROPA), DepEd Bicol region (Region 5), and DepEd Central Visayas (Region 7) recommended by the Department of Education (DepEd) Manila. Formal interviews and coding of consolidated experts’ experiences have passed through a qualitative thematic analysis to obtain a profound understanding of the strategies and indicators. After a thorough investigation of the information gathered, related studies, and theoretical reviews, the study resulted in the seven (7) stages of a contextualised mathematics teaching module such as 1) Planning, 2) Assessment of the curriculum guide and resources, 3) Collaboration and Consultative Meeting, 4) Crafting and Developing of the Contextualise Learning Modules/Lessons, 5) Implementation, 6) Monitoring, and 7) Evaluation and feedback. The first four (4) stages are the developmental phase cons Planning, Assessment, Collaboration, and Crafting of the working module (PACC). While, the remaining three stages to implement, monitor, and conducts of evaluation and feedback are on the validation phase. As module, the contextualised mathematics teaching can be utilised as a training guide for teachers in Technical-Vocational Livelihood Education strands of the K-12 curriculum. Further research may be conducted to validate the most appropriate modular approach in teaching specific subjects

The National Budget Circular 461: Emerging trends in Philippines higher education promotion system

This research aimed to identify trends on promotion challenges and concerns (CaCs) encountered by the faculty members in selected State universities and colleges (SUCs) in the Philippines. To specifically identify significant CaCs, the study employed the mixed-method research design utilizing the delphi model technique for data collection. Thematic data coding was thoroughly conducted to come up with a consensus from the experts in the field of promotion in higher education. There were 10 focal persons from the SUCs in the national capital region (NCR) purposively chosen as the study participants. The identified challenges and concerns as the trend indicators were categorized into themes such as appreciation of documents, faculty engagement for promotion, information dissemination, schedule of implementation, responsiveness of the national budget circular No. 461 (NBC 461) focal persons to promotion-related concerns, faculty engagement to promotion, and stakeholder’s engagement to promotion. These indicators would be a relevant implication to the holistic and a uniform faculty promotion scheme in higher education institutions of the country. Hence, the result of the study shall be utilized by the SUCs policymakers in crafting the standardized NBC 461 policy guideline that is inclusive for implementing equal promotion opportunity as well as job security

IoT-based Pico-Hydro Power Generation System Using Pelton Turbine

The local rural electric power generation is necessary to promote progress of the localities especially on those hard to reach communities. The Philippine archipelago is rich in water resources, harnessing this ample amount of water is enough for irrigation and electrical generation especially on those far located areas that are hard to reach by electrical grid connection system. This paper presents an alternative source of electrical energy. The designed pico-hydro power generation system is well suited in remote areas where the transmission of power seems to impossible. To maximize the designed concept, the Pelton turbine is utilized because it is suited especially in the Philippines for high and low flow rate of water. Moreover, an IoT-based system that can easily monitor any unwanted problems. This pico-hydropower system is much economical compared with other sources of electricity

Detection of Circulatory Diseases Through Fingernails Using Artificial Neural Network

This study focuses on detection of circulatory diseases such as Coronary Occlusion, Congestive Heart Failure, and Congenital Heart Disease by analyzing fingernails. It used an image processing system which includes image segmentation, color threshold, and shape analysis. The fingernail database used are classified using Artificial Neural Network (ANN). The proposed detection system diagnosed 6 patients having the said diseases (3 Congenital Heart Failure, 2 Congenital Heart Disease, and 1 Coronary Occlusion). It was matched with all the findings and diagnosis of all the attending specialists. With this, it was 100% successful in detecting circulatory diseases

Smart Dairy Cattle Farming and In-Heat Detection through the Internet of Things (IoT)

The Internet of Things (IoT) technology has been being revolutionized in various aspects of agriculture around the world ever since. Its application has already found its success in some countries. On the contrary, this technology has yet to find its substantial breakthrough in the Philippines. This study shows the application of IoT in improving the detection efficiency of standing-heat behaviors of cows through automated detection using Pan-tilt-zoom cameras and a Python-driven Web Application. The dimensions of the barn were measured, and the Cameras' Field of Views (FOVs) were pre-calculated for the strategic positions of the cameras atop of the cowshed. The program detects the cows and any estrus events through the surveillance cameras. The results will be sent to the cloud server to display on the web application for analysis. The web app can allow updates on cow information, inseminations, pregnancy, and calving records, estimate travel time from the user's geolocation to the farm, provide live monitoring and remote camera accessibility and control through the cameras and deliver reliable cross-platform push-notification and call alerts on the user's device(s) whenever an estrus event is detected. Based on the results, the program performed satisfactorily at 50% detection efficiency