Vokasi Unesa Bulletin of Engineering, Technology and Applied Science
Engineering
Vokasi Unesa Bulletin Of Engineering, Technology and Applied Science (VUBETA) is a peer-reviewed, Quarterly International Journal, that publishes high-quality theoretical and experimental papers of permanent interest, that have not previously been published in a journal, in the field of engineering, technology, and applied sciences
Articles in this Journal
Design of a 120V, 5A SEPIC DC-DC Converter for Unipolar 120V DC Microgrid
SEPIC is a DC-DC converter that functions in both boost and buck modes, reducing voltage stress on active power switches. It is utilized in electric vehicles, marine vessels, and aircraft to minimize dimensions, mass, maintenance, and operational exp...
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Control of DC Motor in Laundry Liquid Waste Treatment based on Esp32-S3 And Thingsboard Platform
Direct disposal of untreated laundry wastewater contributes to environmental pollution, with TSS (Total Suspended Solid) levels reaching 600 mg/L, far exceeding the 100 mg/L limit set by East Java Governor Regulation No. 72 of 2013. This research aim...
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Adaptive Steganographic Technique For Digital Images Based On The Least Significant Bit Substitution
It has become natural to retain most of the information electronically, due to developments and improvements in information and communication technology. Thus, information security has become a major problem. Aside from cryptography, two strategies c...
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Adaptive Resonance Theory-Based Approach for Robust and Efficient Face Recognition
In recent years, face recognition systems have gained significant traction due to their applications in security, surveillance, and user authentication. Despite the advances in deep learning techniques, challenges such as varying lighting conditions,...
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A Deep Learning Approach to Fake News Classification Using LSTM
The rapid spread of misinformation on digital platforms poses a major challenge today. The ability to detect false information is essential to mitigate the associated harmful consequences. This research presents a deep learning approach for detecting...
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Intelligent and Secure Package Receiver System Utilizing Internet of Things (IoT) Technology
The rapid expansion of e-commerce has increased the demand for secure and efficient package delivery solutions, particularly for recipients who are frequently away from home. This study presents the development of a Smart Package Receiver Box, an Int...
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Power Quality Enhancement Using Single Phase Shunt Active Filter Based ANFIS Supplied by Photovoltaic
This paper proposes a single-phase shunt active filter (ShAF) combined with photovoltaic (PV) to enhance power quality performance by reducing source current harmonics and compensating for reactive power in a single-phase 220-Volt distribution system...
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Estimating Residential Natural Gas Demand and Consumption: A Hybrid Ensemble Machine Learning Approach
The routine use of natural gas, particularly in residential settings, has been integral to human activities for many decades. This study proposes a hybrid ensemble regression machine learning model for forecasting residential natural gas demand. Accu...
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Rethinking Intelligence: From Human Cognition to Artificial Futures
The rapid advancement of AI technologies raises pressing questions about the nature and future direction of intelligence. A key challenge is to understand how human and artificial intelligences differ, not just in form but in function, and how they s...
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Enhancing Indoor Positioning Accuracy with Ant Colony Optimization and Dual Clustering
Indoor positioning systems are crucial for public safety, healthcare, and IoT, but Wi-Fi fingerprinting faces challenges such as signal interference, multipath effects, and high computational costs. These issues reduce positioning accuracy and make r...
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Detecting Malaria Cells with Plasmo-D Expert System Developed on Android and Computer Vision
Separation between infected and uninfected cells during diagnosing malaria parasites plasmodium is difficult, time-consuming, and expensive. However, this article presented a report on a developed expert system called Plasmodium Detector(Plasmo-D), c...
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Excel Solver Aided Biogas Kinetics Computation for Varied Ratio Co-digestion of Cassava Peels with Chicken Manure
The co-digestion of cassava peels (CP) and chicken manure (CM) offers a sustainable approach to biogas production, but optimizing process conditions and kinetic modeling remains crucial for efficiency. This study employed Excel Solver to estimate kin...
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The Spatial Pattern and Distribution of Adansonia Species in the Sahel Savanna Ecosystem of Yobe State, Nigeria
The study scrutinizes the distribution, of Adansonia species in Southern part of Yobe State Nigeria. A quadrat sampling method was employed for the study and the study area was divided into twenty quadrats using the purposive sampling technique. The...
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The Reconfiguration of Kaduna Municipal Area Distribution Network For Power Loss Reduction And Voltage Profile Improvement Using Static Var Compensators (SVC)
Increase in demand for electricity due to the advancement of technology globally and in Nigeria has brought about numerous challenges such as voltage instability, power factor problems and high power loss in the electrical power distribution networks...
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A Optimal Placement of Phasor Measurement Units on Shiroro 330kv Grid Network using Binary Grey Wolf Optimization Algorithm
Phasor Measurement Units (PMUs) are essential for enhancing the control, monitoring, and observability of modern power systems. This research presents an optimal PMU placement approach for the Shiroro 330 kV grid network using the Binary Grey Wolf Op...
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