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Embedding Wireless Intelligent Sensors Based on Compact Measurement for Struc...

This document discusses using an improved compressive sensing (CS)-based algorithm to recover data lost during wireless transmission from structural health monitoring sensors. It begins by explaining the problem of data loss in wireless transmission and traditional recovery methods. It then provides an overview of CS principles and how they can be applied to recover lost sensor data. The document outlines the proposed improved algorithm based on random demodulators, which requires less memory and computation than traditional CS algorithms. It presents results of testing the algorithm on different data sets, showing it can effectively reconstruct signals with varying amounts of missing data. The improved algorithm is concluded to provide an effective way to recover lost structural health monitoring data wirelessly while minimizing requirements on sensor nodes.

Sensors 13-11032

This document discusses energy-efficient power allocation in cognitive radio sensor networks. It formulates the problem of determining the power allocation that maximizes the energy efficiency of such networks as a constrained optimization problem, where the objective is to maximize the ratio of network throughput to network power. This fractional programming problem is transformed into an equivalent concave optimization problem using Charnes-Cooper Transformation. The transformed problem has a water-filling type power allocation policy as its structure. The original problem is also transformed into a parametric form for which an iterative solution exists and is proven to converge. Numerical solutions are presented and compared to the optimal solution from the concave transformation. The effects of system parameters on the performance of the algorithms are investigated.

Secure data storage over distributed nodes in network through broadcast techn...

Secure data storage over distributed nodes in network through broadcast techn...eSAT Publishing House

IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and TechnologyUnderwater localization and node mobility estimation

In this paper, localizing a moving node in the context of underwater wireless sensor networks (UWSNs) is considered. Most existing algorithms have had designed to work with a static node in the networks. However, in practical case, the node is dynamic due to relative motion between the transmitter and receiver. The main idea is to record the time of arrival message (ToA) stamp and estimating the drift in the sampling frequency accordingly. It should be emphasized that, the channel conditions such as multipath and delay spread, and ambient noise is considered to make the system pragmatic. A joint prediction of the node mobility and speed are estimated based on the sampling frequency offset estimation. This sampling frequency offset drift is detected based on correlating an anticipated window in the orthogonal frequency division multiplexing (OFDM) of the received packet. The range and the distance of the mobile node is predicted from estimating the speed at the received packet and reused in the position estimation algorithm. The underwater acoustic channel is considered in this paper with 8 paths and maximum delay spread of 48 ms to simulate a pragmatic case. The performance is evaluated by adopting different nodes speeds in the simulation in two scenarios of expansion and compression. The results show that the proposed algorithm has a stable profile in the presence of severe channel conditions. Also, the result shows that the maximum speed that can be adopted in this algorithm is 9 km/h and the expansion case profile is more stable than the compression scenario. In addition, a comparison with a dynamic triangular algorithm (DTN) is presented in order to evaluate the proposed system.

Routing protocol on wireless sensor network

The document summarizes routing protocols for wireless sensor networks. It first defines wireless sensor networks and describes their key characteristics. It then surveys traditional routing techniques like flooding and gossiping, as well as current techniques including flat routing protocols like SPIN and directed diffusion, hierarchical routing protocols like LEACH and PEGASIS, and location-based routing protocols like GEAR. For each protocol, it provides a brief overview of how it works and compares their advantages and disadvantages. In conclusion, it states that hierarchical routing protocols generally outperform flat routing protocols, and references several papers on sensor network routing.

CODE AWARE DYNAMIC SOURCE ROUTING FOR DISTRIBUTED SENSOR NETWORK

Sensor network facilitates monitoring and controlling of physical environments. These wireless networks consist of dense collection of sensors capable of collection and dissemination of data. They have application in variety of fields such as military purposes, environment monitoring etc. Typical deployment of sensor network assumes central processing station or a gateway to which all other nodes route their data using dynamic source routing (DSR). This causes congestion at central station and thus reduces the efficiency of the network. In this work we will propose a better dynamic source routing technique using network coding to reduce total number of transmission in sensor networks resulting in better efficiency.

Design and Simulation of Narrow Beamwidth Dipole Array Antenna for Microwave ...

This document describes a proposed design for a narrow beamwidth dipole array antenna for microwave imaging applications. The antenna array uses 11 dipole elements with excitation amplitudes determined by the binomial method and phases determined by the Woodward-Lawson method. Simulation results show the antenna has a return loss of -19.78 dB, bandwidth of 1.9 GHz, main lobe gain of 10.53 dB, half power beamwidth of 18.9 degrees, and minimum sidelobe gain of -69.2 dB. The proposed design aims to provide a safer alternative to X-ray imaging with greater diagnostic precision than ultrasound.

Boosting CED Using Robust Orientation Estimation

n this paper, Coherence Enhancement Diffusion (CED) is boosted feeding external orientation using new
robust orientation estimation. In CED, proper scale selection is very important as the gradient vector at
that scale reflects the orientation of local ridge. For this purpose a new scheme is proposed in which pre
calculated orientation, by using local and integration scales. From the experiments it is found the proposed
scheme is working much better in noisy environment as compared to the traditional Coherence
Enhancement Diffusion

11.comparative analysis of qo s aware routing protocols for

This document summarizes and compares several QoS-aware routing protocols for wireless sensor networks. It discusses protocols that aim to optimize metrics like energy efficiency, bandwidth consumption, and delay while ensuring QoS. Specifically, it examines QoS-Aware Routing, which supports QoS through optimal energy allocation but relies on source traffic control. Energy and QoS-Aware Routing enhances throughput and delays but can waste energy through improper service rate adjustment. Event-to-sink Reliable Transport minimizes energy use by adjusting reporting rates to maintain reliable detection, though regulating all sensors uniformly may not work for heterogeneous networks. Overall, the document analyzes how these protocols approach supporting QoS requirements in wireless sensor networks

11.[1 5]comparative analysis of qo s-aware routing protocols for

This document summarizes and compares several QoS-aware routing protocols for wireless sensor networks. It discusses protocols that aim to optimize metrics like energy efficiency, bandwidth consumption, and delay while ensuring QoS requirements are met. Specific protocols surveyed include ones that perform optimal energy allocation, support both real-time and non-real-time traffic, and achieve reliable event detection through congestion control and adjusting reporting frequencies. The document concludes these types of QoS-aware routing protocols are promising for energy-efficient wireless sensor network applications.

Localization Algorithms under Correlated Shadowing in Wireless Sensor Networks

This document summarizes research on localization algorithms for wireless sensor networks that account for correlated shadowing between network links. It first introduces the problem of localization in wireless sensor networks and existing solutions that assume independent shadowing. It then describes the NeSH model for modeling correlated shadowing using a spatial loss field. Several localization algorithms that leverage the NeSH model are discussed, including approaches that formulate the problem as a convex optimization. Simulations show these correlated shadowing algorithms improve localization accuracy over independent shadowing methods.

Ground Fault in OH lines

This masters thesis investigates ground fault protection of transmission lines and the impact of overhead ground wires and system earthing methods. Models of a transmission line and transmission network were implemented in ATPDraw simulation software. Simulation results found that presence of overhead ground wires improves fault location estimation but not detection for single phase faults. Fault resistance was the main factor for detection. Compensated earthing networks could distinguish between single and double phase faults based on impedance measurements. Further analysis is still needed to generalize conclusions to all fault scenarios.

Vitality productivity Multipath Routing for Wireless Sensor Networks: A Genet...

Abstract-The two factors included for deployment of any Wireless Sensor Network, those factors are efficient energy and fault tolerance. An efficient solution for fault tolerance is the Multipath routing in WSNs. Genetic Algorithm is based on the meta-heuristic search technique. Base station (BS) already prepared routing schedule in its routing table, all the nodes share it with the entire network. In proposed algorithm various parameters are used for efficient fitness function such as distance between sender and receiver nodes, distance between BS to hop node and on the number of hop to send data from next hop node to the BS. Simulation and evaluation are tested with various performance metrics in the proposed algorithm.

Optimum Sensor Node Localization in Wireless Sensor Networks

Abstract: Scientists, engineers, and researchers use wireless sensor networks (WSN) for a wide array of applications. Many of these applications rely on knowledge of the precise position of each node. An optimum localization algorithm can be used for determining the position of nodes in a wireless sensor network. This paper provides an overview of different approach of node localization discovery in wireless sensor networks. The overview of the schemes proposed by different scholars for the improvement of localization in wireless sensor networks is also presented. Experiments were performed in a testbed area containing anchor and blind nodes deployed in it to characterize the pathloss exponent and to determine the localization error of the algorithm. Details regarding the implementation of new algorithm are also discussed in this paper.

Implementation of Vacate on Demand Algorithm in Various Spectrum Sensing Netw...

In present days the wireless communications are widely increases because of this reason spectrum utilization can be rapidly increased.For efficient usage of spectrum we can implement the Vacate on demand algorithm in different networks. CR users also need to sense the spectrum and vacate the channel upon the detection of the PU‟s presence to protectPUs from harmful interference. To achieve these fundamental CR functions, CR users usually coordinate with each other by using a common medium for control message exchange ensuring a priority of PUs over CR users. This paper presents the Vacate on Demand (VD) algorithm which enables dynamic spectrum access and ensures to vacate the assigned channel in case of PU activity and move the CR user to some other vacant channel to make spectrum available to PUs as well as to CR users. The basic idea is to use a ranking table of the available channels based on the PU activity detected on each channel. To improve the spectrum efficiency we can implement the Vacate on demand algorithm in MANET Network.

Sensing of Spectrum for SC-FDMA Signals in Cognitive Radio Networks

The document proposes a technique for detecting spectrum used by interleaved single-carrier frequency-division multiple access (SC-FDMA) signals in cognitive radio networks. A metric is defined based on cyclostationary features to identify if subcarriers allocated to primary users are available for secondary users. The Neyman-Pearson test is used to examine two hypotheses (H0 and H1) representing the absence and presence of primary users. Simulation results show the proposed method outperforms existing techniques like autocorrelation of cyclic prefix and energy detection, with lower complexity but similar detection performance at low signal-to-noise ratios. The performance is evaluated under various conditions like number of users, pilot signals, window length, and block length

Collaborative cyclostationary spectrum sensing for cognitive radio systems

This article proposes an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. It extends an existing statistical hypothesis test for cyclostationarity to multiple cyclic frequencies and establishes its asymptotic distributions. It proposes collaborative test statistics to fuse local test statistics from secondary users, and a censoring technique where only informative test statistics are transmitted to reduce energy use. It also proposes a method to numerically approximate the asymptotic distribution of the censored test statistic. Simulations show the benefits of the proposed cyclostationary approach over energy detection, the importance of collaboration for overcoming fading, and the reliable performance even in very low SNR regimes under communication constraints.

Ed33777782

IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com

Ed33777782

International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.

Boosting ced using robust orientation estimation

In this paper, Coherence Enhancement Diffusion (CED) is boosted feeding external orientation using new
robust orientation estimation. In CED, proper scale selection is very important as the gradient vector at
that scale reflects the orientation of local ridge. For this purpose a new scheme is proposed in which pre
calculated orientation, by using local and integration scales. From the experiments it is found the proposed
scheme is working much better in noisy environment as compared to the traditional Coherence
Enhancement Diffusion

Embedding Wireless Intelligent Sensors Based on Compact Measurement for Struc...

Embedding Wireless Intelligent Sensors Based on Compact Measurement for Struc...

Sensors 13-11032

Sensors 13-11032

Secure data storage over distributed nodes in network through broadcast techn...

Secure data storage over distributed nodes in network through broadcast techn...

Underwater localization and node mobility estimation

Underwater localization and node mobility estimation

Routing protocol on wireless sensor network

Routing protocol on wireless sensor network

CODE AWARE DYNAMIC SOURCE ROUTING FOR DISTRIBUTED SENSOR NETWORK

CODE AWARE DYNAMIC SOURCE ROUTING FOR DISTRIBUTED SENSOR NETWORK

Design and Simulation of Narrow Beamwidth Dipole Array Antenna for Microwave ...

Design and Simulation of Narrow Beamwidth Dipole Array Antenna for Microwave ...

Boosting CED Using Robust Orientation Estimation

Boosting CED Using Robust Orientation Estimation

11.comparative analysis of qo s aware routing protocols for

11.comparative analysis of qo s aware routing protocols for

11.[1 5]comparative analysis of qo s-aware routing protocols for

11.[1 5]comparative analysis of qo s-aware routing protocols for

Localization Algorithms under Correlated Shadowing in Wireless Sensor Networks

Localization Algorithms under Correlated Shadowing in Wireless Sensor Networks

Ground Fault in OH lines

Ground Fault in OH lines

Vitality productivity Multipath Routing for Wireless Sensor Networks: A Genet...

Vitality productivity Multipath Routing for Wireless Sensor Networks: A Genet...

Optimum Sensor Node Localization in Wireless Sensor Networks

Optimum Sensor Node Localization in Wireless Sensor Networks

Implementation of Vacate on Demand Algorithm in Various Spectrum Sensing Netw...

Implementation of Vacate on Demand Algorithm in Various Spectrum Sensing Netw...

Sensing of Spectrum for SC-FDMA Signals in Cognitive Radio Networks

Sensing of Spectrum for SC-FDMA Signals in Cognitive Radio Networks

Collaborative cyclostationary spectrum sensing for cognitive radio systems

Collaborative cyclostationary spectrum sensing for cognitive radio systems

Ed33777782

Ed33777782

Ed33777782

Ed33777782

Boosting ced using robust orientation estimation

Boosting ced using robust orientation estimation

Varsha.pptx

The decibel is a logarithmic unit used to express the ratio of two power levels or amplitudes. It is commonly used to measure sound levels or power in electronic systems. A decibel represents one tenth of a bel, with 0 dB representing a ratio of 1. Power gain in decibels is calculated as 10 times the log of the ratio between output and input power. A doubling of power equals a 3 dB gain. Total system gain is the sum of individual stage gains. Attenuation is expressed as a negative decibel value. Voltage and current gains can also be expressed in decibels by taking the log of the ratio of output to input levels.

mas-150813232504-lva1-app6892.pdf

This document discusses various topics in engineering including electrical engineering, electronics, mechanical/civil engineering, sports and exercise engineering, energy systems engineering, and engineering applications. It provides examples of using different engineering disciplines like modeling traffic volumes, designing airplane landing gear, and developing sun-tracking mirrors for solar power plants.

evs ppt (2).pptx

This document discusses threats to biodiversity such as habitat loss from deforestation, wetland destruction, and fragmentation for agriculture, development, and raw materials. Poaching of wildlife for traditional use, commercial trade, and illegal wildlife products also reduces biodiversity. Man-wildlife conflicts have increased due to competition over limited resources from agricultural expansion, urbanization, and infrastructure development. Solutions proposed include strengthening biodiversity laws, adjusting cropping patterns and compensation schemes, and providing food and water for wildlife.

chemistry ppt modified-1.pptx

The document is a presentation by team 6 on types of batteries. It introduces the team members and provides an agenda that covers an introduction to batteries, types of batteries, advantages of batteries, and usage of batteries. The main types discussed are primary batteries, which are single-use, and secondary batteries, which are rechargeable. Examples of primary batteries include zinc carbon and manganese dioxide cells, while common secondary batteries are nickel-cadmium, lead acid, and lithium-ion. The presentation notes that lithium batteries currently provide the highest energy density and are widely used in electronics like smartphones, tablets, and laptops.

maths diff.calculus ppt (1).pptx

This document provides an overview of differential calculus concepts including:
1. It defines differential calculus as dealing with finding exact derivatives directly from a function's formula without using graphical methods, and as a method that deals with the rate of change of one quantity with respect to another.
2. It introduces key concepts like the derivative, which represents the slope of a function at every point, and covers derivative rules for logarithmic, trigonometric, and other common functions.
3. It explains derivative techniques like the product rule, quotient rule, and squeeze/sandwich theorem, and provides examples of applying these rules to find derivatives of various functions.

E-Textiles.doc

The document discusses electronic textiles (e-textiles) and their applications for military use. E-textiles are fabrics that can function electrically like electronics while behaving physically like textiles, enabling computing and digital components to be embedded. The document outlines a brief history of e-textiles development from the 1990s to present. It then lists several potential military applications of e-textiles such as sensing tank movements, monitoring homes for chemicals, and helping firefighters navigate smoky buildings.

Pspp_Game_development(final).pptx

The document discusses using Python for game development, including popular game engines like Pygame and Panda3D that can be used to create 2D and 3D games in Python. It provides guidelines for designing a game, such as brainstorming ideas, writing pseudocode, adding assets, and testing. The document also includes code for a sample quiz game in Python to demonstrate how games can be created using the language.

maths diff.calculus ppt.pptx

This document provides an overview of differential calculus concepts including:
1) Differential calculus deals with finding exact derivatives directly from a function's formula without using graphs. It examines the rate of change of one quantity with respect to another.
2) Key concepts covered include derivative rules, the product rule, quotient rule, derivatives of trigonometric functions, and the squeeze/sandwich theorem.
3) Real-life applications of differential calculus include calculating profit/loss, rates of change like temperature, deriving physical equations, and calculating speed or distance over time.

An Introduction to Metaverse.pdf

The document provides an introduction and overview of the metaverse. It defines the metaverse as a virtual space combining technologies like blockchain, VR, AR and digital assets. NFTs can be used to represent real-world assets in the metaverse. The metaverse consists of elements like web 3.0, blockchain protocols, NFTs, games, cryptocurrencies, VR, AR and mixed reality. Various industries are exploring applications of metaverse technologies in areas like finance, gaming, fashion, marketing and more. While still early, the metaverse may eventually become a fully immersive virtual world for all types of digital experiences.

ranjithreddy123-220304124409.pdf

The document discusses the metaverse, which is described as a hypothetical iteration of the Internet as a single, universal virtual world facilitated by virtual and augmented reality headsets. It will consist of a network of 3D virtual worlds focused on social connection. Various companies are working to develop different aspects of the metaverse using technologies like virtual reality, augmented reality, blockchain, and more. Meta (formerly Facebook) is a leading company aiming to create a metaverse platform for users to interact in virtual worlds while maintaining their identity and payment history across worlds.

1.3 Stress & Strain Relationship of Hooke’s Law.ppt

Stress refers to external forces applied to a material, while strain refers to the deformation or change in shape of the material resulting from those stresses. Hooke's law states that within the elastic limit, the amount of strain produced is directly proportional to the stress applied. Different moduli describe the relationship between stress and strain, including Young's modulus, the bulk modulus, and the shear modulus. Stress and strain can be longitudinal, relating to changes in length, or transverse, relating to changes in width or thickness. The elastic limit is the maximum stress a material can withstand without permanent deformation, after which plastic deformation or fracture may occur.

Varsha.pptx

Varsha.pptx

mas-150813232504-lva1-app6892.pdf

mas-150813232504-lva1-app6892.pdf

evs ppt (2).pptx

evs ppt (2).pptx

chemistry ppt modified-1.pptx

chemistry ppt modified-1.pptx

maths diff.calculus ppt (1).pptx

maths diff.calculus ppt (1).pptx

E-Textiles.doc

E-Textiles.doc

Pspp_Game_development(final).pptx

Pspp_Game_development(final).pptx

maths diff.calculus ppt.pptx

maths diff.calculus ppt.pptx

An Introduction to Metaverse.pdf

An Introduction to Metaverse.pdf

ranjithreddy123-220304124409.pdf

ranjithreddy123-220304124409.pdf

1.3 Stress & Strain Relationship of Hooke’s Law.ppt

1.3 Stress & Strain Relationship of Hooke’s Law.ppt

CONFINED SPACE ENTRY TRAINING FOR OIL INDUSTRY ppt

CONFINED SPACE SAFETY

Tutorial on MySQl and its basic concepts

Tutorial on MySQl and its basic concepts

Presentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptx

To address increased waste dumping in drains, a low-cost drainage cleaning robot controlled via a mobile app is designed to reduce human intervention and improve automation. Connected via Bluetooth, the robot’s chain circulates, moving a mesh with a lifter to carry solid waste to a bin. This project aims to clear clogs, ensure free water flow, and transform society into a cleaner, healthier environment, reducing disease spread from direct sewage contact. It’s especially effective during heavy rains with high water and garbage flow.

readers writers Problem in operating system

Readers Writers Problem

PPT_grt.pptx engineering criteria grt for accrediation

engineering criteria grt for accrediation

Time-State Analytics: MinneAnalytics 2024 Talk

Slides from my talk at MinneAnalytics 2024 - June 7, 2024
https://datatech2024.sched.com/event/1eO0m/time-state-analytics-a-new-paradigm
Across many domains, we see a growing need for complex analytics to track precise metrics at Internet scale to detect issues, identify mitigations, and analyze patterns. Think about delays in airlines (Logistics), food delivery tracking (Apps), detect fraudulent transactions (Fintech), flagging computers for intrusion (Cybersecurity), device health (IoT), and many more.
For instance, at Conviva, our customers want to analyze the buffering that users on some types of devices suffer, when using a specific CDN.
We refer to such problems as Multidimensional Time-State Analytics. Time-State here refers to the stateful context-sensitive analysis over event streams needed to capture metrics of interest, in contrast to simple aggregations. Multidimensional refers to the need to run ad hoc queries to drill down into subpopulations of interest. Furthermore, we need both real-time streaming and offline retrospective analysis capabilities.
In this talk, we will share our experiences to explain why state-of-art systems offer poor abstractions to tackle such workloads and why they suffer from poor cost-performance tradeoffs and significant complexity.
We will also describe Conviva’s architectural and algorithmic efforts to tackle these challenges. We present early evidence on how raising the level of abstraction can reduce developer effort, bugs, and cloud costs by (up to) an order of magnitude, and offer a unified framework to support both streaming and retrospective analysis. We will also discuss how our ideas can be plugged into existing pipelines and how our new ``visual'' abstraction can democratize analytics across many domains and to non-programmers.

Online airline reservation system project report.pdf

Airline Reservation System is software which is helpful for ticketing manager as
well as the customers. In the later system all the activities were done manually. It was
very time consuming and costly. Our Airline Reservation System deals with the various
activities related to the Flights.
There are mainly 3 modules in this software
1. Flight Reservation module
2. Flight Cancellation Module
3. Flight Postpone Module
In the Software only user with the legal username and password can sign in. A
ticketing manager can book, cancel or postpone any flight for any customer. Flights are
booked through Flight Reservation Module in which all the details regarding customer
and his flight are entered. A receipt no. is provide to every customer which is unique for
each customer and with the help of which cancellation and postpone of flight can be
done.

printing of ic circuits.pdf

chemistry

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21EC63_Module1B.pptx VLSI design 21ec63 MOS TRANSISTOR THEORY

VLSI design 21ec63
MOS TRANSISTOR THEORY

FINE-TUNING OF SMALL/MEDIUM LLMS FOR BUSINESS QA ON STRUCTURED DATA

Enabling business users to directly query their data sources is a significant advantage for organisations.
The majority of enterprise data is housed within databases, requiring extensive procedures that involve
intermediary layers for reporting and its related customization. The concept of enabling natural language
queries, where a chatbot can interpret user questions into database queries and promptly return results,
holds promise for expediting decision-making and enhancing business responsiveness. This approach
empowers experienced users to swiftly obtain data-driven insights. The integration of Text-to-SQL and
Large Language Model (LLM) capabilities represents a solution to this challenge, offering businesses a
powerful tool for query automation. However, security concerns prevent organizations from granting direct
database access akin to platforms like OpenAI. To address this limitation, this Paper proposes developing
fine-tuned small/medium LLMs tailored to specific domains like retail and supply chain.These models
would be trained on domain-specific questions and Queries that answer these questions based on the
database table structures to ensure efficacy and security. A pilot study is undertaken to bridge this gap by
fine-tuning selected LLMs to handle business-related queries and associated database structures, focusing
on sales and supply chain domains. The research endeavours to experiment with zero-shot and fine-tuning
techniques to identify the optimal model. Notably, a new dataset is curated for fine-tuning, comprising
business-specific questions pertinent to the sales and supply chain sectors. This experimental framework
aims to evaluate the readiness of LLMs to meet the demands for business query automation within these
specific domains. The study contributes to the progression of natural language query processing and
database interaction within the realm of business intelligence applications.

ARITMETICO.pdf xxxxxxxxxxxxxxxxxxxxxxxx

aritmético

Top EPC companies in India - Best EPC Contractor

These firms are responsible for designing, procuring materials, and constructing facilities, ensuring timely delivery, and adherence to quality standards.
Here is a list of key players driving the country’s development and shaping the future of Indian infrastructure:
https://industryupdates.medium.com/top-epc-companies-in-india-f814df73c5e8

Ludo system project report management .pdf

OpenGL is a library for doing computer graphics.By using it, we can create interactive applications which
render high-quality color images composed of 3D geometric objects and images. OpenGL is window and operating
system independent. As such, the part of our application which does rendering is platform
independent.However,inorderforOpenGLtobeabletorender,itneedsawindow to draw into. Generally,
The Project OpenGL Ludo-Board Game is a computer graphics project. The computer
graphics project used open source library – OpenGL with the c++. This c++ project is based on
one of the oldest Board Game – the Ludo. This OpenGL Ludo game is of two player game and
not the regular four player.
Ludo is a board game for two to four players,in which the players race their four tokens from
start to finish accordingly to die rolls.Like other cross and circle games,Ludo is derived from the
Indian game Pachisi but simpler.The game and its variant are popular in many countries .

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CONFINED SPACE ENTRY TRAINING FOR OIL INDUSTRY ppt

CONFINED SPACE ENTRY TRAINING FOR OIL INDUSTRY ppt

EAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagne

EAAP2023 : Durabilité et services écosystémiques de l'élevage ovin de montagne

Metrology Book, Bachelors in Mechanical Engineering

Metrology Book, Bachelors in Mechanical Engineering

Tutorial on MySQl and its basic concepts

Tutorial on MySQl and its basic concepts

Presentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptx

Presentation slide on DESIGN AND FABRICATION OF MOBILE CONTROLLED DRAINAGE.pptx

readers writers Problem in operating system

readers writers Problem in operating system

PPT_grt.pptx engineering criteria grt for accrediation

PPT_grt.pptx engineering criteria grt for accrediation

Time-State Analytics: MinneAnalytics 2024 Talk

Time-State Analytics: MinneAnalytics 2024 Talk

Online airline reservation system project report.pdf

Online airline reservation system project report.pdf

printing of ic circuits.pdf

printing of ic circuits.pdf

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21EC63_Module1B.pptx VLSI design 21ec63 MOS TRANSISTOR THEORY

21EC63_Module1B.pptx VLSI design 21ec63 MOS TRANSISTOR THEORY

FINE-TUNING OF SMALL/MEDIUM LLMS FOR BUSINESS QA ON STRUCTURED DATA

FINE-TUNING OF SMALL/MEDIUM LLMS FOR BUSINESS QA ON STRUCTURED DATA

ARITMETICO.pdf xxxxxxxxxxxxxxxxxxxxxxxx

ARITMETICO.pdf xxxxxxxxxxxxxxxxxxxxxxxx

The world of Technology Management MEM 814.pptx

The world of Technology Management MEM 814.pptx

Top EPC companies in India - Best EPC Contractor

Top EPC companies in India - Best EPC Contractor

IE-469-Lecture-Notes-3IE-469-Lecture-Notes-3.pptx

IE-469-Lecture-Notes-3IE-469-Lecture-Notes-3.pptx

Ludo system project report management .pdf

Ludo system project report management .pdf

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Generative-AI-a-boost-for-operations-Presentation.pdf

Generative-AI-a-boost-for-operations-Presentation.pdf

- 1. EASWARI ENGINEERING COLLEGE (AUTONOMOUS), CHENNAI – 89. Team Members: 310622106148 Sri Durga R 310622106156 Srivatsan SK 310622106157 Stephanie A P 310622106168 Thanga Mari G 310622106178 Vasu V S 310622106179 Vijayakumar NK Subject: Probability & Random Process Subject Code: 191MAB404T Group No.: 3 Date: 24-5-2024
- 2. AGENDA Uniform & Exponential Distribution • Introduction - Continuous Distribution • Uniform Distribution • Application based problem on Uniform Distribution • Exponential Distribution • Application based problem on Exponential Distribution • Overview of Distribution • Cross Power Spectral Density(CSD) • Properties of CSD • Association of CSD with PSD • Applications of CSD • Antenna Design • Noise Source Identification • Conclusion 2
- 3. Continuous Distribution 3 Uniform & Exponential Distribution A continuous distribution describes the probabilities of the possible values of a continuous random variable. Probabilities of continuous random variables (X) are defined as the area under the curve of its PDF. Introduction
- 4. 4 Uniform & Exponential Distribution The uniform probability distribution function is defined as Uniform Distribution
- 5. 5 Uniform & Exponential Distribution The amount of time, in minutes, that a person must wait for a bus is uniformly distributed between zero and 15 minutes, inclusive. Problem on Uniform Distribution
- 6. 6 Uniform & Exponential Distribution
- 7. 7 Uniform & Exponential Distribution Exponential Distribution The probability distribution function of exponentially distributed random variable is defined as
- 8. 8 Uniform & Exponential Distribution On the average, a certain computer part lasts ten years. The length of time the computer part lasts is exponentially distributed. a) What is the probability that a computer part lasts more than 7 years? b) On the average, how long would five computer parts last if they are used one after another? Problem on Exponential Distribution
- 9. 9 Uniform & Exponential Distribution c) Eighty percent of computer parts last at most how long? d) What is the probability that a computer part lasts between nine and 11 years?
- 10. 10 Uniform Distribution: 1. Equal Probability: All outcomes have an equal chance of occurring. 2. Continuous or Discrete: Can be used for both continuous and discrete data. 3. Applications: Used when there is no preference for any particular outcome. Exponential Distribution: 1. Decreasing Probability: Small values are more likely than larger values. 2. Continuous: Used for continuous data. 3. Memoryless: The probability of an event occurring in the future is not affected by the past. 4. Applications: Used to model the time between events in a Poisson process. Uniform & Exponential Distribution Overview of Distributions
- 11. 11 In signal processing, Cross Spectral Density (CSD) is a measure of the correlation between two signals in the frequency domain. It is used to determine how much two signals are related to each other in terms of their frequency content. Applications of Cross Power Spectral Density Cross Power Spectral Density The cross power spectral density or cross power spectrum 𝑆𝑋𝑌(𝜔) of two continuous random process {X(t)} and {Y(t)} is defined as the Fourier transform of R𝑋𝑌(𝜏).
- 12. 12 If 𝑆𝑋𝑌(𝜔) of two continuous random process {X(t)} and {Y(t)}, then the following properties hold: Applications of Cross Power Spectral Density Properties of CSD
- 13. 13 The PSD represents the distribution of a signal over a frequency spectrum. The magnitude, or power, of the PSD is the mean-square value of the signal. The cross-spectral density provides similar information as the PSD but presents it as a statistic for a pair of signals. In this case, cross-correlation is used to determine the power of the pair of signals, hence the word cross. The CSD may also be called the cross power spectral density. Applications of Cross Power Spectral Density Association of CSD with PSD
- 14. 14 1.Vibration Analysis: 1.Machine Health Monitoring 2.Structural Analysis 2.Acoustics: 1.Noise Source Identification 2.Room Acoustics 3.Oceanography: 1.Wave Prediction 2.Current Mapping 4.Meteorology: 1.Climate Analysis 2.Wind Speed Correlation Applications of Cross Power Spectral Density Applications of CSD 5.Electrical Engineering: 1.Power Quality Analysis 2.Signal Integrity 6.Biomedical Engineering: 1.Brain Signal Analysis 2.Heart Rate Variability 7.Geophysics: 1.Seismic Data Analysis 2.Resource Exploration 8.Telecommunications: 1.Network Analysis 2.Antenna Design
- 15. 15 Applications of Cross Power Spectral Density Antenna Design
- 16. 16 Applications of Cross Power Spectral Density Noise Source Identification
- 17. 17 Overall, the Cross-Spectral Density is a powerful analytical tool that enhances the understanding of the relationship between signals in the frequency domain, providing critical insights for designing and optimizing various signal processing and communication systems. Conclusion
- 18. 18 Continuous and discrete probability distributions – Minitab The Uniform Distribution - Statistics LibreTexts The Exponential Distribution - Statistics LibreTexts sixsigmastudyguide.com/exponential-distribution What is the Cross Spectral Density (CSD)? - Vibration Research Cross Power Spectral Density Spectrum for Noise Modelling and Filter Design (cadence.com) Reference
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