This document presents a project that aims to monitor the best products using data mining techniques. It develops a price comparison engine that allows users to compare products and prices from different e-commerce websites. The system uses a web crawler to fetch product URLs from various e-commerce sites and stores them in a database. It then uses a web scraper to extract product details from the URLs. This allows users to view and compare product information and prices from multiple websites in one place. The goal is to help users find genuine products at genuine prices, while saving their time, money and effort. The system architecture involves a web crawler, database and front-end interface. It periodically updates the database with new product information from e-commerce sites.
A Real Dynamic Cyber Trust Model is an application that is proposed in order to distinguish the trust belief among the trustees who have been marketing in today's digital world by authenticated users. Though we are happy with the developing technology, still we are worrying about the security issues in every scenario. In the same way, if we shop online by trusting some products, there are few chances of getting bad products. We can experience these types of scenarios when we shop online in some interfaces like amazon, e bay, flip kart, etc. Of course, there are many existing systems which give a rating to the product, that help the buyer to trust the seller and buy the product. Still, there is an issue of being cheated by some wrong reviews given by unauthenticated users. In order to overcome that type of issues, this Real Dynamic Cyber Trust Model has been proposed. A Real Dynamic Cyber Trust Model has taken the scenario of seller and buyer who goes shopping for products online. This Real Dynamic Cyber Trust model acts as an interface between the Seller and Buyer. Both Modules of Seller and Buyer have the opportunity of getting registered and log in to the application. Buyer can give the feedback of any product he buys and checks the trust factor of any seller. Whereas the Seller can add, update or delete the products he sells. Based on the feedback given by the buyer the Real Dynamic Cyber Trust Model calculates the trust factor of the seller, which helps the buyer to find out whether the seller is trustworthy or not. Kuchillapati Chinnari | Dr. Adusumalli Balaji "A Real Dynamic Cyber Trust Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26420.pdfPaper URL: https://www.ijtsrd.com/computer-science/programming-language/26420/a-real-dynamic-cyber-trust-model/kuchillapati-chinnari
A Real Dynamic Cyber Trust Model is an application that is proposed in order to distinguish the trust belief among the trustees who have been marketing in today's digital world by authenticated users. Though we are happy with the developing technology, still we are worrying about the security issues in every scenario. In the same way, if we shop online by trusting some products, there are few chances of getting bad products. We can experience these types of scenarios when we shop online in some interfaces like amazon, e bay, flip kart, etc. Of course, there are many existing systems which give a rating to the product, that help the buyer to trust the seller and buy the product. Still, there is an issue of being cheated by some wrong reviews given by unauthenticated users. In order to overcome that type of issues, this Real Dynamic Cyber Trust Model has been proposed. A Real Dynamic Cyber Trust Model has taken the scenario of seller and buyer who goes shopping for products online. This Real Dynamic Cyber Trust model acts as an interface between the Seller and Buyer. Both Modules of Seller and Buyer have the opportunity of getting registered and log in to the application. Buyer can give the feedback of any product he buys and checks the trust factor of any seller. Whereas the Seller can add, update or delete the products he sells. Based on the feedback given by the buyer the Real Dynamic Cyber Trust Model calculates the trust factor of the seller, which helps the buyer to find out whether the seller is trustworthy or not. Kuchillapati Chinnari | Dr. Adusumalli Balaji "A Real Dynamic Cyber Trust Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26420.pdfPaper URL: https://www.ijtsrd.com/computer-science/programming-language/26420/a-real-dynamic-cyber-trust-model/kuchillapati-chinnari
Web and Android Application for Comparison of E-Commerce ProductsIJAEMSJORNAL
E-Commerce websites are currently the most popular sources for shopping all kinds of products online. Currently, users have many different websites to access and search for the desired products available in the market. Nowadays, different kinds of strategies are being implemented to analyze and understand the customer’s behavior to increase growth of the business. As, variety of websites are currently available it becomes difficult for the users to purchase the desired product for an affordable price. The paper presents, Comparison of E-Commerce products available on these different websites in order to help users to grab their desired products for the best affordable price. Techniques like Web Crawling and Web Scraping are adopted to collect detailed product information from the websites and MongoDB (NoSql Database) is used to store the scraped details of the products. Libraries like Requests and BeautifulSoup4 were implemented for crawling and scraping techniques using Python and Indexing method is used in MongoDB to acquire best possible results thereby savings customers time, efforts and money.
DEVELOPING PRODUCTS UPDATE-ALERT SYSTEM FOR E-COMMERCE WEBSITES USERS USING H...ijnlc
Websites are regarded as domains of limitless information which anyone and everyone can access. The
new trend of technology has shaped the way we do and manage our businesses. Today, advancements in
Internet technology has given rise to the proliferation of e-commerce websites. This, in turn made the
activities and lifestyles of marketers/vendors, retailers and consumers (collectively regarded as users in
this paper) easier as it provides convenient platforms to sale/order items through the internet.
Unfortunately, these desirable benefits are not without drawbacks as these platforms require that the users
spend a lot of time and efforts searching for best product deals, products updates and offers on ecommerce websites. Furthermore, they need to filter and compare search results by themselves which takes
a lot of time and there are chances of ambiguous results. In this paper, we applied web crawling and
scraping methods on an e-commerce website to obtain HTML data for identifying products updates based
on the current time. These HTML data are preprocessed to extract details of the products such as name,
price, post date and time, etc. to serve as useful information for users.
DEVELOPING PRODUCTS UPDATE-ALERT SYSTEM FOR E-COMMERCE WEBSITES USERS USING ...kevig
Websites are regarded as domains of limitless information which anyone and everyone can access. The
new trend of technology has shaped the way we do and manage our businesses. Today, advancements in
Internet technology has given rise to the proliferation of e-commerce websites. This, in turn made the
activities and lifestyles of marketers/vendors, retailers and consumers (collectively regarded as users in
this paper) easier as it provides convenient platforms to sale/order items through the internet.
Unfortunately, these desirable benefits are not without drawbacks as these platforms require that the users
spend a lot of time and efforts searching for best product deals, products updates and offers on e-
commerce websites. Furthermore, they need to filter and compare search results by themselves which takes
a lot of time and there are chances of ambiguous results. In this paper, we applied web crawling and
scraping methods on an e-commerce website to obtain HTML data for identifying products updates based
on the current time. These HTML data are preprocessed to extract details of the products such as name,
price, post date and time, etc. to serve as useful information for users.
Web and Android Application for Comparison of E-Commerce ProductsIJAEMSJORNAL
E-Commerce websites are currently the most popular sources for shopping all kinds of products online. Currently, users have many different websites to access and search for the desired products available in the market. Nowadays, different kinds of strategies are being implemented to analyze and understand the customer’s behavior to increase growth of the business. As, variety of websites are currently available it becomes difficult for the users to purchase the desired product for an affordable price. The paper presents, Comparison of E-Commerce products available on these different websites in order to help users to grab their desired products for the best affordable price. Techniques like Web Crawling and Web Scraping are adopted to collect detailed product information from the websites and MongoDB (NoSql Database) is used to store the scraped details of the products. Libraries like Requests and BeautifulSoup4 were implemented for crawling and scraping techniques using Python and Indexing method is used in MongoDB to acquire best possible results thereby savings customers time, efforts and money.
DEVELOPING PRODUCTS UPDATE-ALERT SYSTEM FOR E-COMMERCE WEBSITES USERS USING H...ijnlc
Websites are regarded as domains of limitless information which anyone and everyone can access. The
new trend of technology has shaped the way we do and manage our businesses. Today, advancements in
Internet technology has given rise to the proliferation of e-commerce websites. This, in turn made the
activities and lifestyles of marketers/vendors, retailers and consumers (collectively regarded as users in
this paper) easier as it provides convenient platforms to sale/order items through the internet.
Unfortunately, these desirable benefits are not without drawbacks as these platforms require that the users
spend a lot of time and efforts searching for best product deals, products updates and offers on ecommerce websites. Furthermore, they need to filter and compare search results by themselves which takes
a lot of time and there are chances of ambiguous results. In this paper, we applied web crawling and
scraping methods on an e-commerce website to obtain HTML data for identifying products updates based
on the current time. These HTML data are preprocessed to extract details of the products such as name,
price, post date and time, etc. to serve as useful information for users.
DEVELOPING PRODUCTS UPDATE-ALERT SYSTEM FOR E-COMMERCE WEBSITES USERS USING ...kevig
Websites are regarded as domains of limitless information which anyone and everyone can access. The
new trend of technology has shaped the way we do and manage our businesses. Today, advancements in
Internet technology has given rise to the proliferation of e-commerce websites. This, in turn made the
activities and lifestyles of marketers/vendors, retailers and consumers (collectively regarded as users in
this paper) easier as it provides convenient platforms to sale/order items through the internet.
Unfortunately, these desirable benefits are not without drawbacks as these platforms require that the users
spend a lot of time and efforts searching for best product deals, products updates and offers on e-
commerce websites. Furthermore, they need to filter and compare search results by themselves which takes
a lot of time and there are chances of ambiguous results. In this paper, we applied web crawling and
scraping methods on an e-commerce website to obtain HTML data for identifying products updates based
on the current time. These HTML data are preprocessed to extract details of the products such as name,
price, post date and time, etc. to serve as useful information for users.
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.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
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.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.