1) The document proposes CANS, a Congestion-Adaptive and Small stretch Emergency Navigation algorithm using wireless sensor networks (WSNs) to guide people to safely exit dangerous areas during emergencies.
2) CANS uses a level set method to track the evolution of hazardous area boundaries and the exit over time. This allows people near hazards to be routed on slightly longer but less congested paths, while those further away use shorter paths.
3) CANS builds a "hazard map" by assigning sensor nodes near hazards to groups with different risk levels. This scatters people across paths in different groups to reduce congestion. It can also adapt to changing hazards over time.
This document summarizes a research article that presents a novel robust reversible watermarking method for copyright protection of images. The proposed method, called wavelet-domain statistical quantity histogram shifting and clustering (WSQH-SC), aims to improve upon existing reversible watermarking methods by addressing issues with reversibility, robustness, and invisibility.
WSQH-SC consists of four main modules: 1) property inspired pixel adjustment to avoid pixel overflow/underflow during embedding, 2) construction of statistical quantity histograms in the wavelet domain for embedding, 3) an enhanced pixel-wise masking technique to optimize watermark strength based on human visual perception, and 4) watermark extraction based on k-means clustering. The authors
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 Technology.
Optimal Deployment Scheme for Load Balancing in Sensor NetworkIRJET Journal
The document presents a new algorithm called APOLLO (Optimal Deployment Scheme for Load Balancing) for optimally deploying sensor nodes in wireless sensor networks to achieve k-surface coverage. The goal of APOLLO is to limit the maximum sensing range required by sensor nodes while ensuring each point on the target surface is monitored by at least k sensor nodes, in order to balance sensing load and extend network lifetime. Simulation results show that APOLLO converges rapidly and reduces energy consumption compared to other deployment schemes. The paper also discusses extending APOLLO to work on 3D surfaces by replacing the Euclidean distance metric with geodesic distance.
IRJET- Security Efficiency of Transfering the Data for Wireless Sensor Ne...IRJET Journal
This document discusses security challenges in wireless sensor networks, specifically for wireless body area networks (WBANs). It proposes a new medium access control (MAC) protocol called SDMAC to detect and prevent selfish attacks in WBANs. The SDMAC protocol can identify rogue nodes and block abnormal activities to improve network performance. Simulation results using NS3 show that SDMAC performs better than existing protocols in terms of energy efficiency and throughput reduction.
Optimizing the Packet Routing with Effective Probability Association in Wirel...IRJET Journal
This document discusses target tracking techniques in wireless sensor networks. It begins with an introduction to wireless sensor networks and their applications such as environmental monitoring and target tracking. It then discusses some of the key challenges in target localization and tracking, such as node failure, target loss and recovery, data aggregation, and energy consumption.
Next, it classifies target tracking approaches based on network structure, prediction-based tracking, number of targets, and target recovery techniques. It provides examples like tree-based, cluster-based and flat network structures. Prediction models discussed include Kalman filters and particle filters.
The document concludes by comparing and analyzing existing wireless target tracking techniques such as SPIN, Rumor routing, and several clustering-based algorithms
IRJET- Securing the Reliable Connectivity among Wireless Body Area Networks w...IRJET Journal
This document presents a proposed approach for securing reliable connectivity and quality of service (QoS) among wireless body area networks (WBANs) using an alliance game theoretic method. It first describes the issues that mobility and increased traffic from multiple WBANs can cause interference and degradation of connectivity and QoS. The proposed method dynamically selects an access point for reliable connectivity between WBANs and the AP. It then forms alliances among WBANs near the AP to schedule packets cooperatively and minimize delay while maximizing throughput using a game theoretic approach. Simulation results show the proposed approach outperforms current methods in terms of various performance metrics.
IRJET- Load Optimization with Coverage and Connectivity for Wireless Sensor N...IRJET Journal
The document proposes a Maximum Connected Load Balancing Cover Tree (MCLCT) algorithm to optimize coverage and connectivity in wireless sensor networks. The MCLCT consists of two strategies: 1) A Coverage Optimizing Recursive heuristic that forms maximum disjoint cover sets to ensure full coverage of points of interest. 2) A Probabilistic Load Balancing strategy that determines routing paths in a way that balances energy load evenly among nodes. Simulation results show the MCLCT achieves longer network lifetime than previous algorithms by balancing energy consumption through dynamic cover tree construction and efficient power utilization among sensor nodes.
IRJET- Improving Network Life Time using High Populated Harmony Search Al...IRJET Journal
This document discusses improving network lifetime in underwater acoustic sensor networks using a multi-population harmony search algorithm. It proposes using the algorithm to elect leader nodes which can efficiently route data from sensor nodes to a base station, avoiding collisions. The document describes the network architecture, implementation of AODV routing combined with a round robin scheduling method, and analyzing results showing reduced delay when using the multi-population search algorithm. Improving underwater sensor network lifetime, reliability and efficiency through optimized routing techniques is the overall goal.
This document summarizes a research article that presents a novel robust reversible watermarking method for copyright protection of images. The proposed method, called wavelet-domain statistical quantity histogram shifting and clustering (WSQH-SC), aims to improve upon existing reversible watermarking methods by addressing issues with reversibility, robustness, and invisibility.
WSQH-SC consists of four main modules: 1) property inspired pixel adjustment to avoid pixel overflow/underflow during embedding, 2) construction of statistical quantity histograms in the wavelet domain for embedding, 3) an enhanced pixel-wise masking technique to optimize watermark strength based on human visual perception, and 4) watermark extraction based on k-means clustering. The authors
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 Technology.
Optimal Deployment Scheme for Load Balancing in Sensor NetworkIRJET Journal
The document presents a new algorithm called APOLLO (Optimal Deployment Scheme for Load Balancing) for optimally deploying sensor nodes in wireless sensor networks to achieve k-surface coverage. The goal of APOLLO is to limit the maximum sensing range required by sensor nodes while ensuring each point on the target surface is monitored by at least k sensor nodes, in order to balance sensing load and extend network lifetime. Simulation results show that APOLLO converges rapidly and reduces energy consumption compared to other deployment schemes. The paper also discusses extending APOLLO to work on 3D surfaces by replacing the Euclidean distance metric with geodesic distance.
IRJET- Security Efficiency of Transfering the Data for Wireless Sensor Ne...IRJET Journal
This document discusses security challenges in wireless sensor networks, specifically for wireless body area networks (WBANs). It proposes a new medium access control (MAC) protocol called SDMAC to detect and prevent selfish attacks in WBANs. The SDMAC protocol can identify rogue nodes and block abnormal activities to improve network performance. Simulation results using NS3 show that SDMAC performs better than existing protocols in terms of energy efficiency and throughput reduction.
Optimizing the Packet Routing with Effective Probability Association in Wirel...IRJET Journal
This document discusses target tracking techniques in wireless sensor networks. It begins with an introduction to wireless sensor networks and their applications such as environmental monitoring and target tracking. It then discusses some of the key challenges in target localization and tracking, such as node failure, target loss and recovery, data aggregation, and energy consumption.
Next, it classifies target tracking approaches based on network structure, prediction-based tracking, number of targets, and target recovery techniques. It provides examples like tree-based, cluster-based and flat network structures. Prediction models discussed include Kalman filters and particle filters.
The document concludes by comparing and analyzing existing wireless target tracking techniques such as SPIN, Rumor routing, and several clustering-based algorithms
IRJET- Securing the Reliable Connectivity among Wireless Body Area Networks w...IRJET Journal
This document presents a proposed approach for securing reliable connectivity and quality of service (QoS) among wireless body area networks (WBANs) using an alliance game theoretic method. It first describes the issues that mobility and increased traffic from multiple WBANs can cause interference and degradation of connectivity and QoS. The proposed method dynamically selects an access point for reliable connectivity between WBANs and the AP. It then forms alliances among WBANs near the AP to schedule packets cooperatively and minimize delay while maximizing throughput using a game theoretic approach. Simulation results show the proposed approach outperforms current methods in terms of various performance metrics.
IRJET- Load Optimization with Coverage and Connectivity for Wireless Sensor N...IRJET Journal
The document proposes a Maximum Connected Load Balancing Cover Tree (MCLCT) algorithm to optimize coverage and connectivity in wireless sensor networks. The MCLCT consists of two strategies: 1) A Coverage Optimizing Recursive heuristic that forms maximum disjoint cover sets to ensure full coverage of points of interest. 2) A Probabilistic Load Balancing strategy that determines routing paths in a way that balances energy load evenly among nodes. Simulation results show the MCLCT achieves longer network lifetime than previous algorithms by balancing energy consumption through dynamic cover tree construction and efficient power utilization among sensor nodes.
IRJET- Improving Network Life Time using High Populated Harmony Search Al...IRJET Journal
This document discusses improving network lifetime in underwater acoustic sensor networks using a multi-population harmony search algorithm. It proposes using the algorithm to elect leader nodes which can efficiently route data from sensor nodes to a base station, avoiding collisions. The document describes the network architecture, implementation of AODV routing combined with a round robin scheduling method, and analyzing results showing reduced delay when using the multi-population search algorithm. Improving underwater sensor network lifetime, reliability and efficiency through optimized routing techniques is the overall goal.
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 Technology
This document summarizes an article that proposes an adaptive broadcast mechanism to improve alert message dissemination in vehicular ad-hoc networks (VANETs). It aims to reduce the "broadcast storm problem" where redundant rebroadcasting of messages causes contention and packet collisions. The proposed Profile-driven Adaptive Warning message Dissemination System (PAWDS) algorithm dynamically adjusts broadcast parameters based on detected city roadmap profiles (simple, regular, complex layouts) and vehicle density to select the appropriate dissemination scheme (full, standard, reduced). Simulation results show PAWDS improves information dissemination accuracy and mitigates broadcast storm issues compared to traditional methods, though some nodes still repeatedly act as rebroadcasters.
Energy efficient routing used for wireless sensor networks exploitation in ge...eSAT Publishing House
The document proposes an Energy Efficient Routing and Fault Node Replacement (EERFNR) algorithm to extend the lifetime of wireless sensor networks. The algorithm uses Hierarchical Gradient Diffusion (HGD) routing to balance node loading and reduce energy consumption. When the number of non-functioning nodes exceeds a threshold, a genetic algorithm is used to replace the faulty nodes with functioning nodes and select the most efficient routing paths. The HGD routing creates gradient values, routing tables, and payload values for each node. If routing fails due to node failure, backup nodes and genetic algorithms are used to find new routes and replace minimum number of nodes.
A Review on Virtual Grid Based Dynamic Routes Adjustment in WSNIRJET Journal
This document discusses a virtual grid based dynamic routes adjustment (VGDRA) scheme for wireless sensor networks with a mobile sink. The VGDRA scheme aims to minimize the energy cost for sensor nodes to reconstruct their data delivery routes to the mobile sink location while maintaining near-optimal routes. It partitions the sensor field into a virtual grid with cell headers forming a virtual backbone network. Communication rules govern the route reconstruction process, requiring only a subset of cell headers to adjust routes to the new sink location. Simulation results show the VGDRA scheme reduces route reconstruction costs and improves network lifetime compared to existing approaches. The document reviews related work on virtual infrastructure based data dissemination for mobile sinks and their limitations.
Real-Time, Fault Tolerance and Energy-Efficiency (REFER) Enhancement in Wirel...IRJET Journal
This document discusses enhancing real-time capabilities, fault tolerance, and energy efficiency in wireless sensor and actuator networks (WSANs). It proposes a new network architecture called REFER that embeds Kautz graphs for routing to provide these enhancements. REFER connects the Kautz graphs using a distributed hash table for scalability. It also develops an efficient fault-tolerant routing protocol that allows nodes to quickly identify alternate paths upon failures based on node IDs alone, without retransmission from the source. The document reviews related work on WSAN routing and discusses fault diagnosis and recovery techniques. It presents the methodology and simulation results demonstrating REFER's improvements over existing WSAN systems in real-time communication, energy efficiency, fault tolerance and scalability
Wireless Communication, Sensing and REM: A Security PerspectiveIRJET Journal
The document discusses wireless communication security perspectives and proposes a method for detecting Sybil attacks in vehicular ad hoc networks (VANETs). It begins by introducing VANETs and the security issues they face, such as Sybil attacks where an attacker generates multiple fake identities. The proposed method is called Improved RSSI-Based Sybil Detection (IRSD) which uses received signal strength indicator (RSSI) time series to compare similarities between received signals and detect Sybil attacks. The method provides distributed detection without relying on position or distance calculations based on average RSSI values. The document concludes the IRSD method can effectively detect Sybil attacks in VANETs and prevent miscommunication compared to other existing methods.
Static Structural Analysis of Crane HookIRJET Journal
1. The document discusses the static structural analysis of a crane hook using finite element analysis software ANSYS.
2. A 3D solid model of the crane hook is created in ANSYS to analyze the stress patterns under loaded conditions. Different materials are analyzed to reduce failure rates and increase the working life of the hook.
3. The analysis aims to establish an FEA procedure for the crane hook to find stresses, their magnitudes, and possible locations to reduce failures. Stress analysis of the hook is important to improve its design and ensure safety during operation.
A Comparative Review on Reliability and Fault Tolerance Enhancement Protocols...IRJET Journal
This document provides a comparative review of reliability and fault tolerance enhancement protocols in wireless sensor networks. It first discusses key challenges for wireless sensor networks related to node failures in harsh environments. It then summarizes several existing fault detection and recovery techniques. The document compares protocols like E2SRT, GARUDA, RCRT, and ZARB that aim to improve reliability. It highlights issues around achieving fault tolerance and concludes that no single approach can provide a fully reliable solution, requiring a hybrid method using the best features of different protocols.
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...IRJET Journal
This document presents a virtual grid-based dynamic routes adjustment (VGDRA) scheme for wireless sensor networks with a mobile sink. The scheme aims to conserve network energy while dynamically routing information towards the moving sink. It divides the sensor field into a virtual grid with cell header nodes. These cell header nodes participate in adjusting routes according to the latest location of the mobile sink, reducing communication costs and energy consumption compared to having all nodes participate. The VGDRA scheme balances energy expenditure of nodes and allows data to be efficiently disseminated to the mobile sink as it changes locations through dynamic routing reconstruction using the virtual grid structure.
This document presents a virtual grid-based dynamic routes adjustment (VGDRA) scheme for wireless sensor networks with a mobile sink. The scheme aims to minimize the energy consumed when sensor nodes adjust their routes to the sink's new location. It divides the sensor field into a virtual grid with cell headers. When the sink moves, only the cell headers participate in rerouting to the new location, reducing the communication cost compared to all nodes adjusting routes. The VGDRA scheme maintains nearly optimal routes to the mobile sink while minimizing the cost of route reconstruction as the sink moves.
1) The document proposes a novel clustering routing and coverage optimization algorithm called Multiverse Crow Conscious Clustering Routing and Coverage Optimization Algorithm (MVCCRO) to address issues in wireless sensor networks during the COVID-19 pandemic.
2) MVCCRO aims to maximize network coverage while minimizing energy consumption and maintaining balanced energy usage across sensor clusters. It uses a hybrid approach combining the Multiverse optimization algorithm and Crow Search algorithm.
3) The algorithm is evaluated against other nature-inspired wireless sensor network optimization methods and is shown to increase coverage significantly while maintaining optimized network performance.
The popularity of Wireless Sensor Networks (WSN) have increased rapidly and tremendously due to the vast potential of the sensor networks to connect the physical world with the virtual world. Since sensor devices rely on battery power and node energy and may be placed in hostile environments, so replacing them becomes a difficult task. Thus, improving the energy of these networks i.e. network lifetime becomes important. The thesis provides methods for clustering and cluster head selection to WSN to improve energy efficiency using fuzzy logic controller. It presents a comparison between the different methods on the basis of the network lifetime. It compares existing ABC optimization method with BFO algorithm for different size of networks and different scenario. It provides cluster head selection method with good performance and reduced computational complexity. In addition it also proposes BFO as an algorithm for clustering of WSN which would result in improved performance with faster convergence.
ACT: Securing Vanet Against Malicious Vehicles Using Advanced Clustering Tech...IRJET Journal
The document proposes an ACT approach for creating advanced clusters in VANET networks and detecting malicious vehicles. The ACT approach uses clustering to organize vehicles into groups led by cluster heads. The cluster heads help route data and detect malicious vehicles that may disrupt the network. The proposed approach is tested using simulation and performs better than AODV routing in terms of latency, throughput, and packet delivery ratio. It provides improved security and stability for VANET networks.
Emergency Navigation in Rescue with Wireless Sensor NetworksIRJET Journal
1) The document proposes a navigation system using wireless sensor networks to guide people to safety during emergencies.
2) It detects hazardous areas and builds maps showing hazard levels and potential exits.
3) The system dynamically tracks users' locations and provides each with a personalized shortest, safest path to the nearest exit in real-time to avoid congestion and minimize evacuation time.
TRAFFIC FORECAST FOR INTELLECTUAL TRANSPORTATION SYSTEM USING MACHINE LEARNINGIRJET Journal
1. The document discusses using machine learning techniques like random forests and support vector machines to predict traffic patterns using large datasets from intelligent transportation systems.
2. It proposes predicting traffic using an SVM algorithm with Euclidean distance metrics on traffic data derived from online sources, aiming to improve accuracy and reduce errors compared to existing systems.
3. The system would take in historical vehicle movement data to be trained via machine learning, allowing it to process large amounts of real-time sensor data and better predict traffic conditions, which could help minimize congestion and carbon emissions from transportation.
IRJET-Multipath based Routing and Energy Efficient Multicasting for Wireless ...IRJET Journal
The document discusses the Real-Time, Fault Tolerant and Energy-Efficient (REFER) protocol for wireless sensor and actuator networks (WSANs). It proposes embedding Kautz graphs into the physical topology of a WSAN to enable real-time communication and connecting the graphs using a distributed hash table for scalability. The REFER protocol also includes an efficient fault-tolerant routing mechanism that allows nodes to quickly identify alternate paths upon failures based on node IDs rather than retransmissions. Simulation results show REFER outperforms existing WSAN approaches in terms of real-time performance, energy-efficiency, fault-tolerance and scalability.
A Fault Tolerant Approach To Enhances WSN Lifetime In Star TopologyIRJET Journal
This document summarizes a research paper that proposes a fault-tolerant approach to increase the lifetime of wireless sensor networks using a star topology. It applies a Gradient Diffusion algorithm and Fault Node Recovery algorithm to identify and replace non-functioning sensor nodes. The Fault Node Recovery algorithm uses a genetic algorithm to determine the sequence of non-operating nodes and parameter thresholds. Simulation results showed the approach could increase the number of active nodes by 8-9 times, reduce data loss by up to 98%, and lower energy consumption by around 32%.
FAULT DETECTION SCHEME OF 5 BUS BY ANN AND ANFISIRJET Journal
This document proposes a fault detection scheme for a 5 bus system using artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS). The scheme involves using discrete wavelet transform (DWT) to preprocess current and voltage measurements and extract statistical features. These features are then input into three ANNs/ANFIS models for fault classification, identification of fault phase, and detection of fault location. Simulation results on the 5 bus system demonstrate the effectiveness of the proposed scheme in accurately detecting fault type, phase and location in a fast and robust manner compared to previous methods.
IRJET- Efficient and Secure Communication In Vehicular AD HOC NetworkIRJET Journal
The document discusses efficient and secure communication in vehicular ad hoc networks (VANETs). It proposes a Cluster based reliable routing (CRR) protocol. Vehicles are clustered based on their velocity, and a Cluster Controller (CC) is elected based on transmitter heights and position to manage communication among cluster members. The CRR protocol aims to address the challenging routing issues posed by the highly dynamic topology of VANETs.
IRJET-A Brief Study of Leach based Routing Protocol in Wireless Sensor NetworksIRJET Journal
This document summarizes a study of the Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol for wireless sensor networks. It discusses how LEACH is an energy-efficient clustering-based protocol that helps improve the lifetime of wireless sensor networks. The document also reviews several other routing protocols and concludes that using a round robin schedule could help improve clustering in routing protocols for wireless sensor networks to balance energy usage across nodes.
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
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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 Technology
This document summarizes an article that proposes an adaptive broadcast mechanism to improve alert message dissemination in vehicular ad-hoc networks (VANETs). It aims to reduce the "broadcast storm problem" where redundant rebroadcasting of messages causes contention and packet collisions. The proposed Profile-driven Adaptive Warning message Dissemination System (PAWDS) algorithm dynamically adjusts broadcast parameters based on detected city roadmap profiles (simple, regular, complex layouts) and vehicle density to select the appropriate dissemination scheme (full, standard, reduced). Simulation results show PAWDS improves information dissemination accuracy and mitigates broadcast storm issues compared to traditional methods, though some nodes still repeatedly act as rebroadcasters.
Energy efficient routing used for wireless sensor networks exploitation in ge...eSAT Publishing House
The document proposes an Energy Efficient Routing and Fault Node Replacement (EERFNR) algorithm to extend the lifetime of wireless sensor networks. The algorithm uses Hierarchical Gradient Diffusion (HGD) routing to balance node loading and reduce energy consumption. When the number of non-functioning nodes exceeds a threshold, a genetic algorithm is used to replace the faulty nodes with functioning nodes and select the most efficient routing paths. The HGD routing creates gradient values, routing tables, and payload values for each node. If routing fails due to node failure, backup nodes and genetic algorithms are used to find new routes and replace minimum number of nodes.
A Review on Virtual Grid Based Dynamic Routes Adjustment in WSNIRJET Journal
This document discusses a virtual grid based dynamic routes adjustment (VGDRA) scheme for wireless sensor networks with a mobile sink. The VGDRA scheme aims to minimize the energy cost for sensor nodes to reconstruct their data delivery routes to the mobile sink location while maintaining near-optimal routes. It partitions the sensor field into a virtual grid with cell headers forming a virtual backbone network. Communication rules govern the route reconstruction process, requiring only a subset of cell headers to adjust routes to the new sink location. Simulation results show the VGDRA scheme reduces route reconstruction costs and improves network lifetime compared to existing approaches. The document reviews related work on virtual infrastructure based data dissemination for mobile sinks and their limitations.
Real-Time, Fault Tolerance and Energy-Efficiency (REFER) Enhancement in Wirel...IRJET Journal
This document discusses enhancing real-time capabilities, fault tolerance, and energy efficiency in wireless sensor and actuator networks (WSANs). It proposes a new network architecture called REFER that embeds Kautz graphs for routing to provide these enhancements. REFER connects the Kautz graphs using a distributed hash table for scalability. It also develops an efficient fault-tolerant routing protocol that allows nodes to quickly identify alternate paths upon failures based on node IDs alone, without retransmission from the source. The document reviews related work on WSAN routing and discusses fault diagnosis and recovery techniques. It presents the methodology and simulation results demonstrating REFER's improvements over existing WSAN systems in real-time communication, energy efficiency, fault tolerance and scalability
Wireless Communication, Sensing and REM: A Security PerspectiveIRJET Journal
The document discusses wireless communication security perspectives and proposes a method for detecting Sybil attacks in vehicular ad hoc networks (VANETs). It begins by introducing VANETs and the security issues they face, such as Sybil attacks where an attacker generates multiple fake identities. The proposed method is called Improved RSSI-Based Sybil Detection (IRSD) which uses received signal strength indicator (RSSI) time series to compare similarities between received signals and detect Sybil attacks. The method provides distributed detection without relying on position or distance calculations based on average RSSI values. The document concludes the IRSD method can effectively detect Sybil attacks in VANETs and prevent miscommunication compared to other existing methods.
Static Structural Analysis of Crane HookIRJET Journal
1. The document discusses the static structural analysis of a crane hook using finite element analysis software ANSYS.
2. A 3D solid model of the crane hook is created in ANSYS to analyze the stress patterns under loaded conditions. Different materials are analyzed to reduce failure rates and increase the working life of the hook.
3. The analysis aims to establish an FEA procedure for the crane hook to find stresses, their magnitudes, and possible locations to reduce failures. Stress analysis of the hook is important to improve its design and ensure safety during operation.
A Comparative Review on Reliability and Fault Tolerance Enhancement Protocols...IRJET Journal
This document provides a comparative review of reliability and fault tolerance enhancement protocols in wireless sensor networks. It first discusses key challenges for wireless sensor networks related to node failures in harsh environments. It then summarizes several existing fault detection and recovery techniques. The document compares protocols like E2SRT, GARUDA, RCRT, and ZARB that aim to improve reliability. It highlights issues around achieving fault tolerance and concludes that no single approach can provide a fully reliable solution, requiring a hybrid method using the best features of different protocols.
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...IRJET Journal
This document presents a virtual grid-based dynamic routes adjustment (VGDRA) scheme for wireless sensor networks with a mobile sink. The scheme aims to conserve network energy while dynamically routing information towards the moving sink. It divides the sensor field into a virtual grid with cell header nodes. These cell header nodes participate in adjusting routes according to the latest location of the mobile sink, reducing communication costs and energy consumption compared to having all nodes participate. The VGDRA scheme balances energy expenditure of nodes and allows data to be efficiently disseminated to the mobile sink as it changes locations through dynamic routing reconstruction using the virtual grid structure.
This document presents a virtual grid-based dynamic routes adjustment (VGDRA) scheme for wireless sensor networks with a mobile sink. The scheme aims to minimize the energy consumed when sensor nodes adjust their routes to the sink's new location. It divides the sensor field into a virtual grid with cell headers. When the sink moves, only the cell headers participate in rerouting to the new location, reducing the communication cost compared to all nodes adjusting routes. The VGDRA scheme maintains nearly optimal routes to the mobile sink while minimizing the cost of route reconstruction as the sink moves.
1) The document proposes a novel clustering routing and coverage optimization algorithm called Multiverse Crow Conscious Clustering Routing and Coverage Optimization Algorithm (MVCCRO) to address issues in wireless sensor networks during the COVID-19 pandemic.
2) MVCCRO aims to maximize network coverage while minimizing energy consumption and maintaining balanced energy usage across sensor clusters. It uses a hybrid approach combining the Multiverse optimization algorithm and Crow Search algorithm.
3) The algorithm is evaluated against other nature-inspired wireless sensor network optimization methods and is shown to increase coverage significantly while maintaining optimized network performance.
The popularity of Wireless Sensor Networks (WSN) have increased rapidly and tremendously due to the vast potential of the sensor networks to connect the physical world with the virtual world. Since sensor devices rely on battery power and node energy and may be placed in hostile environments, so replacing them becomes a difficult task. Thus, improving the energy of these networks i.e. network lifetime becomes important. The thesis provides methods for clustering and cluster head selection to WSN to improve energy efficiency using fuzzy logic controller. It presents a comparison between the different methods on the basis of the network lifetime. It compares existing ABC optimization method with BFO algorithm for different size of networks and different scenario. It provides cluster head selection method with good performance and reduced computational complexity. In addition it also proposes BFO as an algorithm for clustering of WSN which would result in improved performance with faster convergence.
ACT: Securing Vanet Against Malicious Vehicles Using Advanced Clustering Tech...IRJET Journal
The document proposes an ACT approach for creating advanced clusters in VANET networks and detecting malicious vehicles. The ACT approach uses clustering to organize vehicles into groups led by cluster heads. The cluster heads help route data and detect malicious vehicles that may disrupt the network. The proposed approach is tested using simulation and performs better than AODV routing in terms of latency, throughput, and packet delivery ratio. It provides improved security and stability for VANET networks.
Emergency Navigation in Rescue with Wireless Sensor NetworksIRJET Journal
1) The document proposes a navigation system using wireless sensor networks to guide people to safety during emergencies.
2) It detects hazardous areas and builds maps showing hazard levels and potential exits.
3) The system dynamically tracks users' locations and provides each with a personalized shortest, safest path to the nearest exit in real-time to avoid congestion and minimize evacuation time.
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1. The document discusses using machine learning techniques like random forests and support vector machines to predict traffic patterns using large datasets from intelligent transportation systems.
2. It proposes predicting traffic using an SVM algorithm with Euclidean distance metrics on traffic data derived from online sources, aiming to improve accuracy and reduce errors compared to existing systems.
3. The system would take in historical vehicle movement data to be trained via machine learning, allowing it to process large amounts of real-time sensor data and better predict traffic conditions, which could help minimize congestion and carbon emissions from transportation.
IRJET-Multipath based Routing and Energy Efficient Multicasting for Wireless ...IRJET Journal
The document discusses the Real-Time, Fault Tolerant and Energy-Efficient (REFER) protocol for wireless sensor and actuator networks (WSANs). It proposes embedding Kautz graphs into the physical topology of a WSAN to enable real-time communication and connecting the graphs using a distributed hash table for scalability. The REFER protocol also includes an efficient fault-tolerant routing mechanism that allows nodes to quickly identify alternate paths upon failures based on node IDs rather than retransmissions. Simulation results show REFER outperforms existing WSAN approaches in terms of real-time performance, energy-efficiency, fault-tolerance and scalability.
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This document summarizes a research paper that proposes a fault-tolerant approach to increase the lifetime of wireless sensor networks using a star topology. It applies a Gradient Diffusion algorithm and Fault Node Recovery algorithm to identify and replace non-functioning sensor nodes. The Fault Node Recovery algorithm uses a genetic algorithm to determine the sequence of non-operating nodes and parameter thresholds. Simulation results showed the approach could increase the number of active nodes by 8-9 times, reduce data loss by up to 98%, and lower energy consumption by around 32%.
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The document discusses efficient and secure communication in vehicular ad hoc networks (VANETs). It proposes a Cluster based reliable routing (CRR) protocol. Vehicles are clustered based on their velocity, and a Cluster Controller (CC) is elected based on transmitter heights and position to manage communication among cluster members. The CRR protocol aims to address the challenging routing issues posed by the highly dynamic topology of VANETs.
IRJET-A Brief Study of Leach based Routing Protocol in Wireless Sensor NetworksIRJET Journal
This document summarizes a study of the Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol for wireless sensor networks. It discusses how LEACH is an energy-efficient clustering-based protocol that helps improve the lifetime of wireless sensor networks. The document also reviews several other routing protocols and concludes that using a round robin schedule could help improve clustering in routing protocols for wireless sensor networks to balance energy usage across nodes.
Similar to Congestion-Adaptive and Small Stretch Emergency Navigation with WSN (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.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
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/
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
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.
AI for Legal Research with applications, toolsmahaffeycheryld
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.