This paper defines a new class of graphs using the spanning subgraphs of a cycle graph as vertices. This class of graphs is called j-edge intersection graph of cycle graph, denoted by EC(n,j). The vertex set of EC(n,j) is the set of spanning subgraphs of cycle graph with j edges where n≥3 and j is a nonnegative integer such that 1≤j≤n. Moreover, two distinct vertices are...
Category: Research
Automated Computer-Aided Detection and Classification of Intracranial Hemorrhage Using Ensemble Deep Learning Techniques
Diagnosing Intracranial Hemorrhage (ICH) at an early stage is difficult since it affects the blood vessels in the brain, often resulting in death. We propose an ensemble of Convolutional Neural Networks (CNNs) combining Squeeze and Excitation–based Residual Networks with the next dimension (SE-ResNeXT) and Long Short-Term Memory (LSTM) Networks in order to address this issue....
Distribution and Management of the Invasive Swietenia macrophylla King (Meliaceae) at the Foot of a Protected Area in Luzon Island, Philippines
Invasive alien plant species (IAPS) pose one of the most significant threats to native biodiversity. Swietenia macrophylla, or big leaf mahogany, is among the most threatening invasive plants in the Philippines. This article aimed to formally document the presence of S. macrophylla along the edges of Mt. Banahaw de Nagcarlan, a protected area on Luzon Island, Philippines. The...
Formulated Hand Sanitizer Utilizing Passion Fruit (Passifloraedulis) Leaf Extract as an Active Ingredient
Passiflora edulis leaf extracts were added as an active ingredient for alcohol-based hand sanitizer (ABHS). Matured leaveswere air-dried, powdered, and soaked in methanol (1:10, w/v) for 24 hours. The solvent-free crude extract was used toformulate hand sanitizer utilizing varying amounts of leaf extract (1,3 and 5% w/w). The antimicrobial activities of the leafextracts and the...
Design of Patient Specific Hip Prosthesis based on Finite Element Analysis: A Comparative Study
This study aims to develop a patient-specific hip implant for osteoarthritis conditions and to compare with intact and conventional implant. The femoral bone with head and shaft region was segmented from the pelvic griddle and converted into 3D model. The parameters such as femoral ball diameter, shaft length, acetabular cup diameter, and neck angle were...
A 2xVDD digital output buffer with gate driving stability andnon-overlapping signaling control for slew-rate auto-adjustment using16-nm FinFET CMOS process
This paper presents a 2 × VDD mixed-voltage digital output buffer where its slew rate (SR) is automatically adjusted based on PVT (process, voltage, and temperature) detection. The developed buffer is the first to be fabricated using TSMC 16-nm CMOS Logic FinFET Compact (Shrink) LL ELK Cu 1P13 M process. Since slew rate is one...
A 1.0 fJ energy/bit single-ended 1 kb 6T SRAM implemented using 40 nm CMOS process
An ultra-low-energy SRAM composed of single-ended cells is demonstrated on silicon in this investigation. More specifically, the supply voltages of cells are gated by wordline (WL) enable, and the voltage mode select (VMS) signals select one of the corresponding supply voltages. A lower voltage is selected to maintain stored bit state when cells are not...
On cycle graphs
The Cycle Graph Cy ( G ) of a graph G is the edge intersection graph of all induced cycles of G . In this paper, necessary and sufficient condition on G such that Cy ( G ) is a connected graph, a tree, a bipartite graph is obtained. Non-existence of forbidden subgraph characterization for...
Current construction and demolition waste management strategies for Philippine construction sector – A systematic literature review
The construction industry continues to be one of the primary drivers of a country’s economic progress. As of 2022, the Philippines’ construction sector had an annual growth rate of 9.2% and continues to increase due to the Build! Build! Build! (BBB) program. However, the construction sector is globally known for regularly consuming more raw materials,...
Facial emotion detection using thermal and visual images based on deep learning techniques
The main objectives of this study are (i) to determine the different emotions, such as happy, anger, neutral, and sad, based on the visual and thermal images for facial expression recognition of healthy individuals; (ii) to train the modified pre-trained models, such as DenseNet-121, ResNet-50, and VGG-19 based on transfer learning technique, using the visual...
