This document summarizes research on an automated waste segregation system using a Raspberry Pi and image processing. The system uses a Raspberry Pi camera to continuously capture images of an area where waste is placed. OpenCV compares new images to reference images to identify waste items. When waste is detected, a robotic arm is triggered to collect the item and deposit it in the proper waste bin. Each bin has a level sensor to monitor capacity. When full, a notification is sent to signal the need for waste removal. The document reviews several related studies on smart waste management systems and discusses potential applications of this technology in municipal waste collection, recycling facilities, commercial settings, and public spaces.
Electronic Circuit Assessment using Machine Learning (ML)vivatechijri
Traditionally after installing all the electronics on the circuit board part, a worker make sure the circuits are working properly. Motive is to build machines that can replace the repetitive function of Human and Test Electronic Circuit Performance using Computer Vision which is one of the advancements using machine learning. Printed circuit board (PCB) testing has been a critical process in electrical production industry to ensure product quality and reliability, reduce production costs and increase production. PCB testing involves the detection of errors on a PCB and the segmentation of those errors to identify the roots of errors. The proposed algorithm is broadly divided into five categories, feature detection and feature classification. The algorithm is able to perform tests even if the image is captured rotating, measuring and translating according to a template that performs algorithm rotation, scale and translation they are different. The newness of the algorithm is still at the beginning of analyzing the feature with its unique appearance as well firmness. In addition to this, the algorithm only takes 2,528 s to scan a PCB image. Performance of the proposed algorithm is verified by performing experiments on various PCB images and shows that the proposed algorithms suitable for automatic PCB view testing
Real time approach of piezo actuated beam for wireless seismic measurement us...eSAT Journals
Abstract
Piezo-actuated beam is used for wireless seismic measurement and indication using Lab VIEW. Principle of piezoelectric materials
has been utilized here i.e. Piezoelectric materials deform when a voltage is applied to them and inversely will produce a voltage when
they are deformed. For this reason, they can be used as both sensors and actuators. Here, Lab VIEW 2013 version, NI ELVIS
(Educational Laboratory Virtual Instrumentation Suite) and Bluetooth device connected with PC has been utilized for acquiring and
indicating vibration. The developed design is expected to be used universally for measuring seismic waves and also in Industrial
applications for the measurement of micro vibration.
Keywords: Seismic measurement, Lab VIEW, wireless communication
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Electronic Circuit Assessment using Machine Learning (ML)vivatechijri
Traditionally after installing all the electronics on the circuit board part, a worker make sure the circuits are working properly. Motive is to build machines that can replace the repetitive function of Human and Test Electronic Circuit Performance using Computer Vision which is one of the advancements using machine learning. Printed circuit board (PCB) testing has been a critical process in electrical production industry to ensure product quality and reliability, reduce production costs and increase production. PCB testing involves the detection of errors on a PCB and the segmentation of those errors to identify the roots of errors. The proposed algorithm is broadly divided into five categories, feature detection and feature classification. The algorithm is able to perform tests even if the image is captured rotating, measuring and translating according to a template that performs algorithm rotation, scale and translation they are different. The newness of the algorithm is still at the beginning of analyzing the feature with its unique appearance as well firmness. In addition to this, the algorithm only takes 2,528 s to scan a PCB image. Performance of the proposed algorithm is verified by performing experiments on various PCB images and shows that the proposed algorithms suitable for automatic PCB view testing
Real time approach of piezo actuated beam for wireless seismic measurement us...eSAT Journals
Abstract
Piezo-actuated beam is used for wireless seismic measurement and indication using Lab VIEW. Principle of piezoelectric materials
has been utilized here i.e. Piezoelectric materials deform when a voltage is applied to them and inversely will produce a voltage when
they are deformed. For this reason, they can be used as both sensors and actuators. Here, Lab VIEW 2013 version, NI ELVIS
(Educational Laboratory Virtual Instrumentation Suite) and Bluetooth device connected with PC has been utilized for acquiring and
indicating vibration. The developed design is expected to be used universally for measuring seismic waves and also in Industrial
applications for the measurement of micro vibration.
Keywords: Seismic measurement, Lab VIEW, wireless communication
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.