Innovation and technology ecosystem - minerals and metals by Sandeep guptaSandeep Gupta
A short 'as practiced' write up on the subject in mining, smelters and power plants at non ferrous sector. Typical journey, new tools, approaches and culture building included.Leading to Capex Excellence and Asset sweating. General Electric's Leadership, Innovation and Growth program is inspiring bench mark.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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Similar to Alumina refinery project perspectives before starting block by sandeep gupta
Innovation and technology ecosystem - minerals and metals by Sandeep guptaSandeep Gupta
A short 'as practiced' write up on the subject in mining, smelters and power plants at non ferrous sector. Typical journey, new tools, approaches and culture building included.Leading to Capex Excellence and Asset sweating. General Electric's Leadership, Innovation and Growth program is inspiring bench mark.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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.
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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.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
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.
2. Related experience
Strong aspiration and preparations to deliver world class alumina refinery .Co developer of
the model ore dressing plant and hydro smelter plant and project concept and action plan at
HZL.
Experience of working with EIL at Mahan and Aditya alumnium smelter projects as a
client. Mega projects (Each $ 2 billion in 2010). Alumina refinery project most likely to be
with same metallurgical division of EIL.
Implemented many best Practices of project engineering and management at Mahan and
Aditya smelter projects. Creative construction methodology and strategy benchmarking.
Vendor development and cost management. Work breakdown structures, contract
management and Commissioning etc.
A SWOT analysis of the technology package(from world best technology provider -AP,
France ), EPCM consultant(EIL) specifications – gap analysis lead to ‘better the best”.
Double digit improvements at process, sub process and equipment level suggested and
accepted by AP.
Experience at Integrated aluminium complex, Hindalco, Renukoot with alumina refinery.
Self driven experiences such as 30+ internal audits for Integrated management systems
(EHSEQ), waste management at alumina Plant and various projects. Aluminium smelter
IMS system coordinator role and Leadership role at Safety excellence journey has been
handy to develop management and control systems and MIS etc. Awareness campaign
leader and assessor for CII EXIM Business excellence has provided world class
approaches.
3. Related experience
HO role at HZL : common engineering and capex for smelters, CPP and mines
Hydrometallurgical Zinc smelter experience – capex and engineering . Alumina refinery
has high similarity to Alumina refinery.
Tailings dam, water management and innovations –Thickening /paste tailings. Similar to
Red mud waste management and sustainability concerns.
Experience of structural health management and structural integrity at HZL. This shall
help prevent ground upheaval problems in almost all alumina refineries.
Transformation project to upgrade obsolete technology aluminum smelter into ‘at par ‘
with modern technology smelter.
Headed aluminum smelter maintenance- this shall help to achieve high maintainability
and opera ability of projects.
Leadership position on Process safety management . Major risk management.
Experience of assimilating a body of Knowledge and contemporary approaches for
business development in minerals and metals sector at L&T IES and HZL.
4. Approaches for Alumina project (and others)
Learning of Hindalco-Muri project shortcomings- major being gap of bauxite quality forecasting
between mine planning and project specifications .
Active innovations such as neutralisation of the redmud by sea water. Deep sea disposal of redmud
exploration,
Improved Design basis innovations to optimise the design plant life 40-50 years+ (chemical plants
start strugling after 25 years due to corrosion and detrition).
LEAN PLANT and process design.
Usage to the hilt of dynamic simulations in project stage ( to be included in specifications and scopes)
Digitalization and IOT.
Design of refinery for extreme conditions of Kutch.
Benchmark project not only against othe alumina refineries but also parallel of oil refinery. Apply
TRIZ and ‘Design thinking’ concepts.
Explore possibilities of modular and portable constructions.
Online analysers for the silica and other impurities development.
Layouts and detail engineering that supports optimised cost of capacity expansion.
Prevention of caustic imbrettlement of equipment and structures.
Major projects Services benchmarking ( with Worley Parsons/ Advisian etc. )
There are many projects in pipeline in metals sector with Hindalco, Adani and Vedanta etc. Prior
preparations can help deliver superior value
5. Self Professional Position
Positioned for providing Engineering, technical and Project
management directions at Major projects.
Immediately available for engagements.