This document discusses a mobile ad hoc network (MANET) system. It begins with an introduction to MANETs, noting that they allow for wireless communication without centralized infrastructure by having each mobile node function as a router. It then discusses challenges with intrusion response in MANETs, as incorrect countermeasures to malicious nodes could harm the network topology. The proposed system aims to provide a more flexible risk-aware response by modifying the concept of risk evaluation and using Dempster-Shafer evidence theory with importance factors and weighted combination. It outlines the system architecture, data flow diagram, and testing of the system using programming languages like Python and Java.
IRJET - Detection of False Data Injection Attacks using K-Means Clusterin...IRJET Journal
This document discusses detecting false data injection attacks in networks using k-means clustering. It proposes a system that uses a camera to detect inside attacks on a sub-network. When an outside person pauses the camera for a certain period of time, the server will detect this as an inside attack and inform the administrator. The system aims to improve network security by identifying these inside attacks using k-means clustering algorithm to classify sensor measurements and detect false data injected by attackers.
This document discusses detecting false data injection attacks using k-means clustering. It begins with an abstract that describes implementing detection of inside attacks in a sub-network using cameras. When an outside person pauses the camera for a specific amount of time, the server can detect this as an inside attack and notify the administrator. The document then reviews related work on cyber attacks against power grids and state estimation. It proposes a system using cameras to monitor for inside attackers pausing cameras. When this occurs, the server will detect an inside attack and inform the administrator. The key algorithm discussed is k-means clustering to classify sensor data and detect attacks.
Crypto Mark Scheme for Fast Pollution Detection and Resistance over NetworkingIRJET Journal
The document proposes a new scheme called HOPVOTE to efficiently detect pollution attacks in networks. HOPVOTE is a packet HOP_VOTE technique that attaches an encrypted key to each packet to verify its integrity at each hop. It aims to rapidly identify polluters and misbehaving data/routes. The scheme uses keybit verification and cache-based recovery to identify and block nodes that drop or modify data, and recovers polluted data for retransmission. Simulation results show the scheme can effectively detect pollution attacks with low overhead. Future work will analyze routing performance under common network applications and flows.
This document discusses integrating webhook support into alert policies for an alert notification system. It begins by introducing alert notifications and their importance for cybersecurity. Webhooks allow applications to automatically send notifications when events occur. The proposed system would allow alert policies to be integrated with webhooks, sending warning messages via email or webhook notifications. Benefits of this approach include customizable messages, automated alerting and responses, simple integration, monitoring and reliability. The methodology describes configuring alert policies with webhook profiles containing URLs and payloads. When alerts trigger, notifications can be sent to webhooks or administrators by email. This provides a way for systems to automatically communicate about security issues. Future work could include categorizing webhook profiles and adding validation and filtering of messages.
IRJET- Development Operations for Continuous DeliveryIRJET Journal
This document discusses development operations (DevOps) and continuous delivery practices. It describes how various automation tools like Git, Gerrit, Jenkins, and SonarQube are used together in a DevOps pipeline. Code is committed to a version control system and reviewed. It is then built, tested, and analyzed for quality using these tools. Machine learning algorithms are used to classify build logs and determine if builds succeeded or failed. This helps automate the testing process. Static code analysis with SonarQube also helps maintain code quality. The document demonstrates how such automation practices in DevOps can save time and reduce errors compared to manual processes.
Vulnerability Management in IT InfrastructureIRJET Journal
This document discusses the development of a web portal to automate vulnerability management in IT infrastructure. It aims to make identifying vulnerabilities, assigning risk treatments, and remediating vulnerabilities more efficient. The portal was built using MongoDB, Node.js, Express.js, and React.js. It allows security leads to view vulnerability reports and assign risk treatments. Asset owners can then view assets assigned to them to remediate. This addresses the inefficiencies of previous manual processes. The portal provides a more structured way to manage vulnerabilities through the entire lifecycle from identification to remediation.
Forecasting Capacity Issues in Stateful Systems: A Proactive ApproachIRJET Journal
This document proposes a forecasting system to proactively predict capacity issues in stateful systems. The key components of the system include:
1. Collecting time-series metrics like disk usage and network traffic from systems.
2. Aggregating and storing the collected data.
3. Using the Facebook Prophet forecasting algorithm to analyze the time-series data, detect trends and seasonal patterns, and predict future capacity usage.
The goal is to enable timely scaling of resources and efficient management of systems to maintain optimal performance and avoid potential capacity issues.
Cloud Computing Task Scheduling Algorithm Based on Modified Genetic AlgorithmIRJET Journal
This document presents a cloud computing task scheduling algorithm based on a modified genetic algorithm. It begins with an abstract discussing scalable cloud computing and the need for efficient task scheduling and virtual machine allocation. It then discusses the problem of existing scheduling algorithms having high overhead and slow convergence. The proposed methodology uses a heuristic-based prediction model with a logistic normal distribution technique to improve data transmission prediction. Simulation results show the proposed approach has better throughput and computation time than existing algorithms for different data packet sizes. The conclusion discusses overcoming drawbacks of earlier algorithms and future work focusing on algorithms with better tradeoffs between performance characteristics.
1) The document discusses a proposed Vulnerability Management System (VMS) to identify and manage software vulnerabilities.
2) It provides an overview of vulnerability management and discusses related work that has been done in vulnerability databases and tracking systems.
3) The proposed VMS would use morphological inspection and static analysis to assess vulnerabilities, store information in a database, and rank vulnerabilities based on severity. It would consist of a vulnerability scanner, process control platform, and data storage.
IRJET- Machine Learning based Network SecurityIRJET Journal
The document discusses using machine learning algorithms to classify network traffic as malicious or non-malicious. It describes capturing packets from a dummy website under distributed denial of service (DDoS) attack to create a dataset. Two machine learning algorithms, naive Bayes and support vector machines (SVM), are used to classify the network traffic. Both algorithms achieved over 98% accuracy in detecting spam traffic. The paper proposes creating a real-time network traffic classification system using machine learning algorithms to improve network security.
A Study on -Risk Aware Mitigation for MANET Routing AttacksIRJET Journal
This document discusses routing attacks in mobile ad hoc networks (MANETs) and proposes a risk-aware adaptive mechanism to mitigate them. It begins by introducing MANETs and describing common routing attacks. It then discusses limitations of existing response techniques. The proposed solution uses an extended Dempster-Shafer mathematical theory of evidence with importance factors to assess risk from attacks and countermeasures. This allows a more adaptive response by isolating malicious nodes temporarily based on calculated risk values, rather than simple binary isolation. The effectiveness of this approach is demonstrated using performance metrics like packet delivery ratio and routing cost.
The document discusses using data mining techniques to analyze crime data and predict crime trends. It describes collecting crime reports from various sources to create a database. Machine learning algorithms would then be applied to the crime data to discover patterns and relationships between different crimes. This analysis could help police identify crime hotspots and determine if a crime was committed in a known location. The proposed system aims to forecast crimes and trends based on past crime data, date and location to help prevent crimes. It discusses implementing the system using Python and testing it with sample input data.
DESIGN PATTERNS IN THE WORKFLOW IMPLEMENTATION OF MARINE RESEARCH GENERAL INF...AM Publications
This paper proposes the use of design patterns in a marine research general information platform. The development of the platform refers to a design of complicated system architecture. Creation and execution of the research workflow nodes and designing of visualization library suited for marine users play an important role in the whole software architecture. This paper studies the requirements characteristic in marine research fields and has implemented a series of framework to solve these problems based on object-oriented and design patterns techniques. These frameworks make clear the relationship in all directions between modules and layers of software, which communicate through unified abstract interface and reduce the coupling between modules and layers. The building of these frameworks is importantly significant in advancing the reusability of software and strengthening extensibility and maintainability of the system.
IRJET- Ideal Security Preserving Probabilistic Direction Finding for Wireless...IRJET Journal
The document presents a new algorithm called Ideal Privacy Enhancing Routing Algorithm (OPE-RA) for probabilistic direction finding in wireless networks that aims to reduce an adversary's identification probability. OPE-RA uses a historical authority structure to optimize routing security and privacy utility tradeoffs. Simulation results show that OPE-RA reduces the adversary's identification probability by up to half compared to random heuristics and up to multiple times compared to an information theoretic baseline. OPE-RA also outperforms conventional data-theoretic mutual information minimization approaches. The algorithm considers overall adversaries using Bayesian maximum a-posteriori estimation for both lossless and lossy observations.
IRJET- PLC based Object Sorting Machine on their HeightIRJET Journal
1. This document describes a PLC-based object sorting machine that sorts lightweight objects by height using DC motors controlled by a programmable logic controller.
2. The sorting machine uses an IR sensor to detect the height of objects on a conveyor belt and the PLC logic determines which bin to direct each object to.
3. The machine is designed for low-cost automation to improve sorting accuracy for manufacturing applications where human errors can occur.
IRJET - A Research on Eloquent Salvation and Productive Outsourcing of Massiv...IRJET Journal
This document discusses a research on efficiently outsourcing the processing of massive datasets to the cloud while maintaining data privacy and security. It begins by introducing the growth of big data and challenges of analyzing large datasets. It then discusses how convex separable programming problems are involved in various applications and how solving them at large scales is computationally difficult for individual users. The proposed system develops an efficient transformation scheme to privately transform vectors and matrices before outsourcing computations to the cloud. It also uses convex separable programming to approximate convex functions with linear programs, which are then securely solved in the cloud. A verification scheme is used to validate the correctness of the cloud's returned results.
Effective Information Flow Control as a Service: EIFCaaSIRJET Journal
This document presents a framework called Effective Information Flow Control as a Service (EIFCaaS) to detect vulnerabilities in Software as a Service (SaaS) applications in cloud computing environments. EIFCaaS analyzes application bytecode using static taint analysis to identify insecure information flows that could violate data confidentiality or integrity. The framework consists of four main components: a model generator, an information flow control engine, a vulnerability detector, and a result publisher. The framework was implemented as a prototype and evaluated on six open source applications, detecting SQL injection and NoSQL injection vulnerabilities. EIFCaaS aims to provide third-party security analysis and monitoring of SaaS applications as a cloud-based service.
IRJET- A Literature Survey on Scaling Approaches for VNF in NFV MonitoringIRJET Journal
This document provides a literature survey of scaling approaches used for monitoring virtual network functions (VNFs) deployed on cloud infrastructure. It discusses challenges in scaling VNFs, such as reliability, turnaround time, stability, and optimal resource utilization. It then summarizes various scaling approaches in the literature, including static threshold-based reactive approaches, dynamic threshold-based adaptive approaches, and time series analysis predictive approaches using machine learning. The document proposes a novel hybrid approach that combines adaptive and machine learning techniques, using feedback to improve predictive accuracy of scaling decisions for VNF monitoring.
Risk Assessment for Identifying Intrusion in ManetIOSR Journals
This document presents a risk assessment approach for identifying intrusions in mobile ad hoc networks (MANETs). It proposes using Dempster-Shafer theory to combine evidence from an intrusion detection system and routing table changes to assess the risk of attacks and countermeasures. An adaptive decision module then determines the response based on the risk assessment. The approach is evaluated experimentally and shown to effectively mitigate attack damages in MANETs.
Secure Storage Auditing with Efficient Key Update for Cognitive Industrial IO...IRJET Journal
This document proposes a secure auditing storage scheme with efficient key updates for a cognitive industrial internet of things (IIoT) environment. It discusses how cognitive computing and IIoT can advance manufacturing capabilities. The existing auditing schemes only consider data integrity and elements without key exposure resistance, so the proposed scheme uses techniques like homomorphic verifiable authenticators and proxy recryption to allow third-party auditors to efficiently update keys and authenticators in the cloud without recovering old keys or data. It aims to support data and sub-block auditing to address owners' concerns about data security in the cloud.
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.
Understanding Cybersecurity Breaches: Causes, Consequences, and PreventionBert Blevins
Cybersecurity breaches are a growing threat in today’s interconnected digital landscape, affecting individuals, businesses, and governments alike. These breaches compromise sensitive information and erode trust in online services and systems. Understanding the causes, consequences, and prevention strategies of cybersecurity breaches is crucial to protect against these pervasive risks.
Cybersecurity breaches refer to unauthorized access, manipulation, or destruction of digital information or systems. They can occur through various means such as malware, phishing attacks, insider threats, and vulnerabilities in software or hardware. Once a breach happens, cybercriminals can exploit the compromised data for financial gain, espionage, or sabotage. Causes of breaches include software and hardware vulnerabilities, phishing attacks, insider threats, weak passwords, and a lack of security awareness.
The consequences of cybersecurity breaches are severe. Financial loss is a significant impact, as organizations face theft of funds, legal fees, and repair costs. Breaches also damage reputations, leading to a loss of trust among customers, partners, and stakeholders. Regulatory penalties are another consequence, with hefty fines imposed for non-compliance with data protection regulations. Intellectual property theft undermines innovation and competitiveness, while disruptions of critical services like healthcare and utilities impact public safety and well-being.
Profiling of Cafe Business in Talavera, Nueva Ecija: A Basis for Development ...IJAEMSJORNAL
This study aimed to profile the coffee shops in Talavera, Nueva Ecija, to develop a standardized checklist for aspiring entrepreneurs. The researchers surveyed 10 coffee shop owners in the municipality of Talavera. Through surveys, the researchers delved into the Owner's Demographic, Business details, Financial Requirements, and other requirements needed to consider starting up a coffee shop. Furthermore, through accurate analysis, the data obtained from the coffee shop owners are arranged to derive key insights. By analyzing this data, the study identifies best practices associated with start-up coffee shops’ profitability in Talavera. These findings were translated into a standardized checklist outlining essential procedures including the lists of equipment needed, financial requirements, and the Traditional and Social Media Marketing techniques. This standardized checklist served as a valuable tool for aspiring and existing coffee shop owners in Talavera, streamlining operations, ensuring consistency, and contributing to business success.
An Internet Protocol address (IP address) is a logical numeric address that is assigned to every single computer, printer, switch, router, tablets, smartphones or any other device that is part of a TCP/IP-based network.
Types of IP address-
Dynamic means "constantly changing “ .dynamic IP addresses aren't more powerful, but they can change.
Static means staying the same. Static. Stand. Stable. Yes, static IP addresses don't change.
Most IP addresses assigned today by Internet Service Providers are dynamic IP addresses. It's more cost effective for the ISP and you.
OCS Training Institute is pleased to co-operate with
a Global provider of Rig Inspection/Audits,
Commission-ing, Compliance & Acceptance as well as
& Engineering for Offshore Drilling Rigs, to deliver
Drilling Rig Inspec-tion Workshops (RIW) which
teaches the inspection & maintenance procedures
required to ensure equipment integrity. Candidates
learn to implement the relevant standards &
understand industry requirements so that they can
verify the condition of a rig’s equipment & improve
safety, thus reducing the number of accidents and
protecting the asset.
Best Practices of Clothing Businesses in Talavera, Nueva Ecija, A Foundation ...IJAEMSJORNAL
This study primarily aimed to determine the best practices of clothing businesses to use it as a foundation of strategic business advancements. Moreover, the frequency with which the business's best practices are tracked, which best practices are the most targeted of the apparel firms to be retained, and how does best practices can be used as strategic business advancement. The respondents of the study is the owners of clothing businesses in Talavera, Nueva Ecija. Data were collected and analyzed using a quantitative approach and utilizing a descriptive research design. Unveiling best practices of clothing businesses as a foundation for strategic business advancement through statistical analysis: frequency and percentage, and weighted means analyzing the data in terms of identifying the most to the least important performance indicators of the businesses among all of the variables. Based on the survey conducted on clothing businesses in Talavera, Nueva Ecija, several best practices emerge across different areas of business operations. These practices are categorized into three main sections, section one being the Business Profile and Legal Requirements, followed by the tracking of indicators in terms of Product, Place, Promotion, and Price, and Key Performance Indicators (KPIs) covering finance, marketing, production, technical, and distribution aspects. The research study delved into identifying the core best practices of clothing businesses, serving as a strategic guide for their advancement. Through meticulous analysis, several key findings emerged. Firstly, prioritizing product factors, such as maintaining optimal stock levels and maximizing customer satisfaction, was deemed essential for driving sales and fostering loyalty. Additionally, selecting the right store location was crucial for visibility and accessibility, directly impacting footfall and sales. Vigilance towards competitors and demographic shifts was highlighted as essential for maintaining relevance. Understanding the relationship between marketing spend and customer acquisition proved pivotal for optimizing budgets and achieving a higher ROI. Strategic analysis of profit margins across clothing items emerged as crucial for maximizing profitability and revenue. Creating a positive customer experience, investing in employee training, and implementing effective inventory management practices were also identified as critical success factors. In essence, these findings underscored the holistic approach needed for sustainable growth in the clothing business, emphasizing the importance of product management, marketing strategies, customer experience, and operational efficiency.
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large...YanKing2
Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. However, code-oriented LLMs are often heavy in computational complexity, and quadratically with the length of the input code sequence. Toward simplifying the input program of an LLM, the state-of-the-art approach has the strategies to filter the input code tokens based on the attention scores given by the LLM. The decision to simplify the input program should not rely on the attention patterns of an LLM, as these patterns are influenced by both the model architecture and the pre-training dataset. Since the model and dataset are part of the solution domain, not the problem domain where the input program belongs, the outcome may differ when the model is trained on a different dataset. We propose SlimCode, a model-agnostic code simplification solution for LLMs that depends on the nature of input code tokens. As an empirical study on the LLMs including CodeBERT, CodeT5, and GPT-4 for two main tasks: code search and summarization. We reported that 1) the reduction ratio of code has a linear-like relation with the saving ratio on training time, 2) the impact of categorized tokens on code simplification can vary significantly, 3) the impact of categorized tokens on code simplification is task-specific but model-agnostic, and 4) the above findings hold for the paradigm–prompt engineering and interactive in-context learning and this study can save reduce the cost of invoking GPT-4 by 24%per API query. Importantly, SlimCode simplifies the input code with its greedy strategy and can obtain at most 133 times faster than the state-of-the-art technique with a significant improvement. This paper calls for a new direction on code-based, model-agnostic code simplification solutions to further empower LLMs.
Online music portal management system project report.pdfKamal Acharya
The iMMS is a unique application that is synchronizing both user
experience and copyrights while providing services like online music
management, legal downloads, artists’ management. There are several
other applications available in the market that either provides some
specific services or large scale integrated solutions. Our product differs
from the rest in a way that we give more power to the users remaining
within the copyrights circle.