This document describes research on developing a system to semantically interlink online news articles from various Indonesian media sites to help reduce the spread of misinformation. The researchers collected RSS feeds from several top Indonesian news sites and analyzed trending keywords from Google Trends to connect related articles. By matching keywords between RSS content and trending terms, the system calculates connectivity percentages between media sites based on overlapping keywords. Testing found connectivity percentages ranging from 0.823% to 1.253% based on 5 matching keywords. The goal is to help people more easily find and evaluate related news on the same topics from different sources.
This document proposes a methodology to provide web security through web crawling and web sense. It involves maintaining a user browser history log table to track user activities online, rather than blocking sites based only on keywords. It also involves a configuration table with limits per user on daily internet usage based on their level/position. When a user visits a site, web sense monitors their activity, checks the log and configuration tables, and can block the user if they exceed the limits or access restricted sites. This aims to prevent illegal access while allowing access to sites that happen to contain blocked keywords but are not related to the restricted topic.
IDERA Live | Mitigating Data Risks from Cloud to GroundIDERA Software
You can watch the replay for this IDERA Live webcast, Mitigating Data Risks from Cloud to Ground, on the IDERA Resource Center, http://ow.ly/INkj50A4rOr.
While some of your data and compute assets may remain in your on-premises datacenter, the inevitable migration to the cloud will introduce risks that you must manage. The resulting complex, hybrid environments raise the stakes for performance management, security, compliance, and data governance. You may feel like you’re heading straight into a storm! Database professionals must meet business goals while handling multiple responsibilities, and need easy-to-use tools to improve productivity and reduce risk. Join IDERA’s Rob Reinauer to learn how IDERA database tools simplify the management of on-premises, hybrid, and cloud deployments and mitigate the added data risks cloud environments can introduce.
Speaker: Rob Reinauer is currently Director of the SQL Product Management group at IDERA in Austin Texas driving the definition and production of IDERA’s industry leading SQL Server management, optimization and DBA productivity tools. Previous to IDERA, Rob was Product Unit Manager of the Microsoft SQL Server Engine Development organization driving SQL’s Mission Critical initiatives, around High Availability, Virtualization, Data Replication and Security, General Manager of the SQL Systems Engineering organization and System Architect in the Microsoft Azure SQL DW development group as well as Research Group leader for the MS / Barcelona Supercomputer Center Hadoop Scalability project.
- 95% of large organizations allow access to some Web 2.0 sites, with the most common being email services (77%), web portals (74%), and Wikis (71%). However, over half deny access to personal social networks (48%) and some IT managers are unsure about access status for certain sites.
- 86% of IT managers feel pressured to allow Web 2.0 access from within their organization, especially from marketing, sales, and C-level staff. Users want both business and personal use of these sites.
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Socially Smart is a web-based platform that aggregates the latest posts from multiple social media sites like Reddit, Onion News, and GitHub. It uses web scraping and APIs to fetch the top trending posts from these sites and displays them in a concise manner on its interface. The goal is to provide users access to relevant social media content in one place and save the time spent visiting different sites. The platform stores scraped data in a database and uses the Django framework to build the frontend. It analyzes and only displays highly engaged posts. Users can also take notes on interesting posts for future reference.
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This document describes a framework for predicting future stock prices based on sentiment analysis of social media data from Twitter. The framework collects tweets related to Apple Inc. over 3 months, performs sentiment analysis to classify tweets as positive or negative, and uses an ARIMA model to predict stock prices based on the sentiment values and past stock price data. The results show that predictions using tweets containing the stock symbol were more accurate than those using just the company name. Factors like the training data, preprocessing techniques, and number of tweets per time period can impact prediction accuracy. While limitations remain, the analysis demonstrates a relationship between social media sentiment and stock market movements.
1. The document describes a search engine scraper that extracts data from websites, summarizes the extracted information, and converts it into a relevant result for users.
2. The search engine scraper works in three stages: extraction of data from website content, summarization of the extracted data using natural language processing techniques, and conversion of the summarized data into a meaningful format for users.
3. The summarization stage uses natural language toolkit processing libraries to determine sentence similarity, assign weights to sentences, and select sentences with higher ranks to include in the summary.
The document summarizes an internship report for developing a prototype website for a travel company. It discusses the objectives of developing a centralized system to manage expeditions and provide online booking. The methodology section describes selecting Living Eyes Media as the internship host, performing tasks as a Laravel developer under supervision. The internship lasted 3 months, involving requirements analysis, development, testing, and maintenance. Some limitations of the developed system are that it lacked an online payment system and cancellation options.
Online Poverty Alleviation System in Bangladesh ContextIRJET Journal
The document describes a proposed online poverty alleviation system for Bangladesh that would:
1) Collect data on people through surveys to analyze the root causes of poverty based on social indicators.
2) Group people based on criteria like monthly income and residence.
3) Recommend destitute people to associated institutions that could help them overcome poverty.
The system was designed with data flow diagrams and entity relationship diagrams to represent the data and information flows. It would allow surveyors to input data, analyze the inputs to identify poverty causes, and recommend solutions to institutions.
This document proposes a methodology to provide web security through web crawling and web sense. It involves maintaining a user browser history log table to track user activities online, rather than blocking sites based only on keywords. It also involves a configuration table with limits per user on daily internet usage based on their level/position. When a user visits a site, web sense monitors their activity, checks the log and configuration tables, and can block the user if they exceed the limits or access restricted sites. This aims to prevent illegal access while allowing access to sites that happen to contain blocked keywords but are not related to the restricted topic.
IDERA Live | Mitigating Data Risks from Cloud to GroundIDERA Software
You can watch the replay for this IDERA Live webcast, Mitigating Data Risks from Cloud to Ground, on the IDERA Resource Center, http://ow.ly/INkj50A4rOr.
While some of your data and compute assets may remain in your on-premises datacenter, the inevitable migration to the cloud will introduce risks that you must manage. The resulting complex, hybrid environments raise the stakes for performance management, security, compliance, and data governance. You may feel like you’re heading straight into a storm! Database professionals must meet business goals while handling multiple responsibilities, and need easy-to-use tools to improve productivity and reduce risk. Join IDERA’s Rob Reinauer to learn how IDERA database tools simplify the management of on-premises, hybrid, and cloud deployments and mitigate the added data risks cloud environments can introduce.
Speaker: Rob Reinauer is currently Director of the SQL Product Management group at IDERA in Austin Texas driving the definition and production of IDERA’s industry leading SQL Server management, optimization and DBA productivity tools. Previous to IDERA, Rob was Product Unit Manager of the Microsoft SQL Server Engine Development organization driving SQL’s Mission Critical initiatives, around High Availability, Virtualization, Data Replication and Security, General Manager of the SQL Systems Engineering organization and System Architect in the Microsoft Azure SQL DW development group as well as Research Group leader for the MS / Barcelona Supercomputer Center Hadoop Scalability project.
- 95% of large organizations allow access to some Web 2.0 sites, with the most common being email services (77%), web portals (74%), and Wikis (71%). However, over half deny access to personal social networks (48%) and some IT managers are unsure about access status for certain sites.
- 86% of IT managers feel pressured to allow Web 2.0 access from within their organization, especially from marketing, sales, and C-level staff. Users want both business and personal use of these sites.
- 66% of IT managers are under pressure to ensure safe Web 2.0 access in their security strategies while still protecting against threats like data leakage and inbound risks. North American
IRJET- Socially Smart an Aggregation System for Social Media using Web Sc...IRJET Journal
Socially Smart is a web-based platform that aggregates the latest posts from multiple social media sites like Reddit, Onion News, and GitHub. It uses web scraping and APIs to fetch the top trending posts from these sites and displays them in a concise manner on its interface. The goal is to provide users access to relevant social media content in one place and save the time spent visiting different sites. The platform stores scraped data in a database and uses the Django framework to build the frontend. It analyzes and only displays highly engaged posts. Users can also take notes on interesting posts for future reference.
Implementation of Sentimental Analysis of Social Media for Stock Prediction ...IRJET Journal
This document describes a framework for predicting future stock prices based on sentiment analysis of social media data from Twitter. The framework collects tweets related to Apple Inc. over 3 months, performs sentiment analysis to classify tweets as positive or negative, and uses an ARIMA model to predict stock prices based on the sentiment values and past stock price data. The results show that predictions using tweets containing the stock symbol were more accurate than those using just the company name. Factors like the training data, preprocessing techniques, and number of tweets per time period can impact prediction accuracy. While limitations remain, the analysis demonstrates a relationship between social media sentiment and stock market movements.
1. The document describes a search engine scraper that extracts data from websites, summarizes the extracted information, and converts it into a relevant result for users.
2. The search engine scraper works in three stages: extraction of data from website content, summarization of the extracted data using natural language processing techniques, and conversion of the summarized data into a meaningful format for users.
3. The summarization stage uses natural language toolkit processing libraries to determine sentence similarity, assign weights to sentences, and select sentences with higher ranks to include in the summary.
The document summarizes an internship report for developing a prototype website for a travel company. It discusses the objectives of developing a centralized system to manage expeditions and provide online booking. The methodology section describes selecting Living Eyes Media as the internship host, performing tasks as a Laravel developer under supervision. The internship lasted 3 months, involving requirements analysis, development, testing, and maintenance. Some limitations of the developed system are that it lacked an online payment system and cancellation options.
Online Poverty Alleviation System in Bangladesh ContextIRJET Journal
The document describes a proposed online poverty alleviation system for Bangladesh that would:
1) Collect data on people through surveys to analyze the root causes of poverty based on social indicators.
2) Group people based on criteria like monthly income and residence.
3) Recommend destitute people to associated institutions that could help them overcome poverty.
The system was designed with data flow diagrams and entity relationship diagrams to represent the data and information flows. It would allow surveyors to input data, analyze the inputs to identify poverty causes, and recommend solutions to institutions.
IRJET-Model for semantic processing in information retrieval systemsIRJET Journal
This document proposes a model for semantic information retrieval that improves upon traditional keyword matching approaches. It involves three main components:
1. A crawling and indexing component that identifies websites and pages, extracts metadata, and generates a knowledge graph through semantic annotation.
2. A processing component that analyzes user queries and profiles to understand search intent, calculates semantic similarity between queries and indexed documents, and determines result relevance.
3. A presentation component that displays search results to users through both simple and advanced search interfaces, prioritizing the most relevant information based on the above processing.
The model is intended to address deficiencies in current Cuban web search by better understanding natural language queries and the contextual meaning of information through semantic technologies
Mining Social Media Data for Understanding Drugs UsageIRJET Journal
This document discusses mining social media data to understand drug usage. It proposes using big data techniques like Hadoop and MapReduce to extract and analyze data from social networks about drug abuse. The methodology involves collecting data from platforms using crawlers, storing it in Hadoop, filtering it, then applying complex analysis using cloud computing. Prior work on extracting health information from social media and multi-scale community detection in networks is reviewed. The challenges of privacy preservation and scalability when anonymizing big healthcare datasets are also discussed.
IRJET-Computational model for the processing of documents and support to the ...IRJET Journal
This document proposes a computational model for processing documents and supporting decision making in information retrieval systems. The model includes five main components: 1) a tracking and indexing component to crawl the web and store document metadata, 2) an information processing component to categorize documents and define user profiles, 3) a decision support component to analyze stored information and generate statistical reports, 4) a display component to provide search interfaces and visualization tools, and 5) specialized roles to administer the system. The goal of the model is to provide a framework for developing large-scale search engines.
IRJET- Monitoring Suspicious Discussions on Online Forums using Data MiningIRJET Journal
1) The document discusses monitoring suspicious discussions on online forums using data mining techniques. It aims to reduce suspicious activity, notify administrators of malicious users, and identify and convert negative words.
2) It proposes collecting data from forums, analyzing it using naive Bayes classification in Python to identify positive and negative sentiment, and replacing negative words with asterisks while notifying the administrator.
3) The method architecturally involves users logging into a forum, discussions being monitored for suspicious words, and administrators getting notified if detected along with users getting warned. It concludes the objectives of monitoring forums are satisfied.
International conference On Computer Science And technologyanchalsinghdm
ICGCET 2019 | 5th International Conference on Green Computing and Engineering Technologies. The conference will be held on 7th September - 9th September 2019 in Morocco. International Conference On Engineering Technology
The conference aims to promote the work of researchers, scientists, engineers and students from across the world on advancement in electronic and computer systems.
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IRJET- Virtual Business Analyst using a Progressive Web ApplicationIRJET Journal
The document proposes a virtual business analyst platform that uses progressive web applications, SEO, and SEM to help small and medium enterprises improve their brands and connect with investors and customers. The platform would provide customized designs for company applications and help improve customer relationship management. It analyzes how innovation adoption of social media technology can help small businesses formulate digital marketing strategies to become more agile organizations. The methodology discusses using the platform to help clients target specific demographics to increase conversion rates and capital yields from paid digital advertising campaigns.
Knowledge Discovery of Small Business Domain using Web Crawling and Data MiningIRJET Journal
This document discusses developing a knowledge base of small businesses using web crawling and data mining techniques. It involves collecting static data like business names and locations through web crawling. Dynamic data like user tweets analyzing businesses are also collected from Twitter. The tweets are analyzed to determine if they contain positive or negative sentiment about businesses. Images and information are extracted from crawled webpages and stored in a knowledge base. The user tweets are also analyzed to calculate the total number of positive or negative tweets about each business with accuracy. This helps provide valuable information and reputation insights about small businesses to users.
Big Data Analytics : Existing Systems and Future Challenges – A ReviewIRJET Journal
This document provides a review of big data analytics, including existing systems that utilize big data analytics and future challenges. It discusses how big data analytics is used in various fields like healthcare, social media, transportation, weather forecasting, and businesses. Big data analytics helps extract value from large, diverse datasets. However, analyzing big data poses challenges due to issues like data uncertainty, privacy concerns, lack of standards, and high costs. The document aims to highlight both the benefits of big data analytics and the challenges that must still be addressed.
Page access coefficient algorithm for information filteringIAEME Publication
The document presents a new algorithm called PAC (Page Access Coefficient) to calculate the rank of web pages for information filtering in social networks. The PAC algorithm aims to reduce computational calculations and time complexity compared to existing PageRank and Weighted PageRank algorithms. The PAC value for a web page is calculated based on the number of incoming links to the page, outgoing links from the page, and total number of pages. This value is used to rank pages when retrieving information, with the goal of presenting users the most relevant results first using less computations than other algorithms.
IRJET- Scope of Big Data Analytics in Industrial DomainIRJET Journal
This document discusses the scope of big data analytics in industrial domains. It begins by defining big data and its key characteristics, known as the "7 V's" - volume, velocity, variety, variability, veracity, value, and volatility. It then discusses how big data is generated in various fields like social media, search engines, healthcare, online shopping, and stock exchanges. The document focuses on how big data analytics can be applied in industrial Internet of Things (IoT) to extract meaningful information from large and continuous data streams generated by IoT devices using machine learning techniques.
Time-Ordered Collaborative Filtering for News RecommendationIRJET Journal
This document presents a novel news recommendation system called Time-Ordered Collaborative Filtering for News Recommendation. The system filters and recommends news to users based on their choices and preferences using collaborative filtering and content-based filtering. It extracts news data from popular online newspapers and stores it in a database. The recommendation framework then preprocesses the news data and applies algorithms like calculating sparse matrices to rank news and recommend the top news to each user based on their interests.
Classification of Sentiment Analysis on Tweets Based on Techniques from Machi...IRJET Journal
This document discusses techniques for sentiment analysis on tweets using machine learning. It examines using a lexicon-based approach with SentiWordNet to identify the sentiment polarity of tweets as positive, negative, or neutral. The document outlines collecting Twitter data using APIs, preprocessing the data by removing hashtags and part-of-speech tagging. It then proposes a model using features extracted from SentiWordNet to classify tweet sentiment and discusses experimenting with unigrams and bigrams as features for the machine learning algorithms.
This document describes a web application that analyzes trends on Twitter. The application uses latent Dirichlet allocation and clustering algorithms to categorize tweets by topic, location, and time. It allows users to search for trending events and view results graphically. The application was developed using an iterative software development process and addresses the problem of users not easily being able to find out about trending events. It provides a convenient way for users to learn about events through a simple interface without needing other media. Security is ensured through two-factor authentication. The application responds quickly and uses LDA for efficient clustering so users can access trending tweets from any location. Sentiment analysis is also performed by clustering positive and negative tweets.
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The document discusses implementing a social customer relationship management (CRM) system for an online grocery shopping platform using customer reviews. It proposes collecting customer reviews from social media and other sources, refining the data, analyzing it using natural language processing and machine learning techniques, and storing the results in a database. This would allow the platform to better understand customer sentiment and needs to improve products, services and the customer experience.
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This document presents a proposed system architecture for implementing a social customer relationship management (CRM) system for an online grocery shopping platform using customer reviews and sentiment analysis. The proposed architecture involves collecting customer reviews from social media, preprocessing and analyzing the data using natural language processing techniques like stemming, and storing the results in a database. Sentiment analysis is performed to categorize reviews by aspects and sentiment. The analyzed data is then presented to users through an interface to help the online grocery shopping platform better understand customer needs and improve products/services based on feedback.
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This document reviews systems for automatically extracting educational digital objects (EDOs) and metadata from institutional websites. It discusses existing systems like Agathe, Crossmarc, and CiteSeerX that extract information from documents but not linked web pages. The proposed system would crawl a website, extract and classify EDOs into audio, video and text, and store them in a database along with automatically extracted metadata like title, category, author. This aims to assist repositories in identifying documents that could be uploaded along with their metadata.
This document discusses techniques for detecting phishing websites. It proposes using web crawling and YARA rules to analyze website URLs and content to classify websites as phishing or non-phishing. Specifically, it involves capturing the URL, analyzing features like domain length and global rank to generate a score, then using a web crawler and YARA rules to analyze website text and detect if the content is irrelevant or malicious. The goal is to develop an extension that can act as middleware between users and malicious websites to reduce users' risk of exposure while allowing safe browsing.
This document discusses big data and tools for analyzing big data. It defines big data as very large data sets that are difficult to analyze using traditional data management systems due to the volume, variety and velocity of the data. It describes characteristics of big data including the 5 V's: volume, variety, velocity, veracity and value. It also discusses some common tools for analyzing big data, including MapReduce, Apache Hadoop, Apache Mahout and Apache Spark. Finally, it briefly mentions the potential of quantum computing for big data analysis by being able to process exponentially large amounts of data simultaneously.
This document discusses building a simulation to optimize a data webhousing system and meta-search engine through hardware and software configuration and tuning techniques. It outlines steps for the configuration process, including setting up hardware infrastructure, developing the meta-search engine and public web server, creating a web application, initializing and monitoring the data webhouse, applying ranking models periodically, and refreshing the data. Implementation issues covered include user authentication, classifying and categorizing users, analyzing clickstream data, and an example scenario of clickstream data collection. The goal is to implement technologies like data webhousing and perform tuning to take advantage of their capabilities.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
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STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
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Similar to Semantically-Interlinked Based on Rich Site Summary Bank for Sites of Indonesia Online News (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Open Channel Flow: fluid flow with a free surfaceIndrajeet sahu
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Road construction is not as easy as it seems to be, it includes various steps and it starts with its designing and
structure including the traffic volume consideration. Then base layer is done by bulldozers and levelers and after
base surface coating has to be done. For giving road a smooth surface with flexibility, Asphalt concrete is used.
Asphalt requires an aggregate sub base material layer, and then a base layer to be put into first place. Asphalt road
construction is formulated to support the heavy traffic load and climatic conditions. It is 100% recyclable and
saving non renewable natural resources.
With the advancement of technology, Asphalt technology gives assurance about the good drainage system and with
skid resistance it can be used where safety is necessary such as outsidethe schools.
The largest use of Asphalt is for making asphalt concrete for road surfaces. It is widely used in airports around the
world due to the sturdiness and ability to be repaired quickly, it is widely used for runways dedicated to aircraft
landing and taking off. Asphalt is normally stored and transported at 150’C or 300’F temperature
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
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Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.