Summary Report 2
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Journal: A survey on fault node detection and recovery mechanisms in wireless sensor network, S. Keerthana; J. C Miraclin Joyce Pamila, 2015 International Conference on Advanced Computing and Communication Systems,Year: 2015,Pages: 1 – 5 , IEEE Conferences
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2) Clustering is a common technique where sensor nodes send data to cluster heads which then forward to the base station, reducing energy spent on long-distance transmissions.
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This 3 sentence summary provides the high level and essential information from the document:
Sensor network technologies have advanced, enabling low-cost, low-power sensor nodes to collaborate over ad hoc wireless networks, collectively sensing their environment, processing and sharing data to actively create smart environments with anytime, anywhere access to information.
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This document lists potential Weka project titles and topics. It includes sections on recent Weka project titles, notable subjects in Weka projects, and effective notions in Weka projects. Some example project titles are breast cancer prediction using blood tests, texture-based image classification in CT scans, and keystroke dynamics for password authentication. Notable Weka project topics discussed are data preprocessing, parameter optimization, clustering and classification, large dataset processing, and knowledge flow construction. The document ends by providing contact information for the Weka project website.
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In wireless sensor and actor networks (WSAN), the
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sensor node is influenced by factors like electrical dynamism,
hardware disasters, communication inaccuracy and undesired
environment situations, etc. Thus, fault tolerant is a very
important and critical factor in such networks. Fault tolerance
also ensures that a system is available for use without any
interruption in the presence of faults. In this paper an
improved fault tolerance scheme is proposed to find the
probability of correctly identifying a faulty node for three
different types of faults based on normal bias. The nodes fault
status is declared based on its confidence score that depends
on the threshold valve. The aim is to find the Correct
Recognition Rate (CRR) and the False Fear Rate (FFR) with
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In the last decade, the greatest threat to the wireless sensor network has been Reactive Jamming Attack because it is difficult to be disclosed and defend as well as due to its mass destruction to legitimate sensor communications. As discussed above about the Reactive Jammers Nodes, a new scheme to deactivate them efficiently is by identifying all trigger nodes, where transmissions invoke the jammer nodes, which has been proposed and developed. Due to this identification mechanism, many existing reactive jamming defending schemes can be benefited. This Trigger Identification can also work as an application layer .In this paper, on one side we provide the several optimization problems to provide complete trigger identification service framework for unreliable wireless sensor networks and on the other side we also provide an improved algorithm with regard to two sophisticated jamming models, in order to enhance its robustness for various network scenarios.
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This course covers various topics related to power system planning and reliability as well as digital protection techniques. The topics include load forecasting, generation and transmission system reliability analysis, expansion planning, distribution system planning, digital signal processing techniques, algorithmic techniques for digital relaying, digital protection techniques for transformers and transmission lines, and decision making in digital protective relays. The course aims to develop students' ability to apply these concepts and techniques for power system planning, analysis, and protection.
K010526570
This document proposes an improved method for detecting sensor node failures in wireless sensor networks. It begins by discussing how sensor node failures can degrade network quality of service and the need to identify and replace faulty nodes. It then reviews existing methods for fault detection and identifies issues with those approaches. The document proposes measuring the round-trip time of data traveling round-trip paths through the network and comparing it to a threshold. Nodes common to paths with delays exceeding the threshold would be identified as faulty. Details of implementing this round-trip time and path based approach are provided. Related works applying other fault detection methods are also summarized.
Harish presentation
The document discusses performance evaluation of local and cooperative spectrum sensing techniques in cognitive radio. It implements energy detection, one-order and two-order cyclostationary feature detection as local spectrum sensing techniques. It also implements cooperative spectrum sensing using an energy detector across multiple cognitive radios. Further, it presents a software-defined approach to dynamic spectrum management and sharing between primary and secondary users. Simulation results demonstrating the receiver operating characteristics of the techniques are also included.
Reliable and Efficient Data Acquisition in Wireless Sensor Network
The sensors in the WSN sense the surrounding, collects the data and transfers the data to the sink node. It
has been observed that the sensor nodes are deactivated or damaged when exposed to certain radiations or
due to energy problems. This damage leads to the temporary isolation of the nodes from the network which
results in the formation of the holes. These holes are dynamic in nature and can grow and shrink depending
upon the factors causing the damage to the sensor nodes. So a solution has been presented in the base paper
where the dual mode i.e. Radio frequency and the Acoustic mode are considered so that the data can be
transferred easily. Based on this a survey has been done where several factors are studied so that the
performance of the system can be increased.
Survey on sensor protocol for information via negotiation (spin) protocol
This document summarizes a survey on the Sensor Protocol for Information via Negotiation (SPIN) routing protocol for wireless sensor networks. It begins with an introduction to wireless sensor networks and describes the basic operation of the SPIN protocol. It then discusses several extensions and improvements made to the SPIN protocol, including M-SPIN, SPIN-pi, and SPIN-I, noting problems or limitations with each. It proposes a new solution that combines the M-SPIN protocol with "plug-in" nodes to improve reliability and network lifetime. The proposed solution is described along with an algorithm and network topology. The document concludes by acknowledging references used in the survey.
Survey on sensor protocol for information via negotiation (spin) protocol
This document summarizes a survey on the Sensor Protocol for Information via Negotiation (SPIN) routing protocol for wireless sensor networks. It begins with an introduction to wireless sensor networks and describes the basic operation of the SPIN protocol. It then discusses several extensions and improvements made to the SPIN protocol, including M-SPIN, SPIN-pi, and SPIN-I, noting problems or limitations with each. It proposes a new solution that combines the M-SPIN protocol with the use of "plug-in" nodes to improve reliability and network lifetime. The proposed solution is described along with an algorithm and network topology. The document concludes by acknowledging references used in the survey.
Design and Implementation a New Energy Efficient Clustering Algorithm Using t...
Wireless Sensor Networks are consist of small battery powered devices with limited energy resources.Once
deployed, the small sensor nodes are usually inaccessible to the user, and thus replacement of the energy
source is not feasible. Hence, one of the most important issues that need to be enhanced in order to
improve the life span of the network is energy efficiency. to overcome this demerit many research have
been done. The clustering is the one of the representative approaches. In this paper, we introduce a
dynamic clustering algorithm using Fuzzy Logic and genetic algorithm. In fact, using fuzzy system design
and system optimization by genetic algorithm is presented approach to select the best cluster head in
sensor networks. Using random data set has been addressed to evaluate of fuzzy-genetic system presented
in this paper and finally, MSE rate or mean error of sending the messages using proposed fuzzy system in
comparison with LEACH method is calculated in select the cluster head. The results of evaluations is
representative of a reduction the MSE metric in proposed method in comparison with LEACH method for
select the cluster head. Reduce of MSE directly is effective on energy consumption and lifetime of wireless
sensor network and can cause the reduce energy consumption and increase network lifetime.
EFFECT OF DUTY CYCLE ON ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORKS
Most studies define a common duty cycle value throughout the wireless sensor networks (WSNs) to
achieve synchronization among the nodes. On the other hand, a few studies proposed adaptation of the
duty cycle according to uniform traffic conditions to decrease the energy consumption and latency. In
this paper, the lifetime of the nodes based on overall energy consumption are estimated and the effect of
duty cycle on expected energy consumption is studied. The proposed scheme is compared with a standard
scheme and is shown to perform significantly better for sufficient node density.
Top 10 Read Article - International Journal of Wireless & Mobile Networks (IJ...
The International Journal of Wireless & Mobile Networks (IJWMN) is a bi monthly open access peer-reviewed journal that publishes
articles which contribute new results in all areas of Wireless & Mobile Networks. The journal focuses on all
technical and practical aspects of Wireless & Mobile Networks. The goal of this journal is to bring together
researchers and practitioners from academia and industry to focus on advanced wireless & mobile networking concepts
and establishing new collaborations in these areas.
Cognitive radio network spectrum sensing
cognitive radio network in which energy detection technique is widely used.Here described different spectrum sensing techniques in cognitive radio network
An Improvement to Sensor Protocol for Information via Negotiation (SPIN) Pro...
Wireless sensor network is collection of one or more homogeneous or heterogeneous sensor
nodes which sense some events and inform sink for that by sending that data towards it to perform some
action. Data transmission is the most effective factor in sensor network that directly regret energy of
sensor node but though energy of sensor node is very crucial one need to save that energy by means of
minimizing redundancy and retransmission of data. Till the day many routing protocols are introduced
to route data efficiently in order to improve network life time but all protocols have some deficiency.
One of the most popular data centric dissemination protocols is Sensor Protocol for Information via
Negotiation (SPIN). It efficiently disseminates data among other nodes in the network. This protocol
uses meta-data for negotiation and eliminates the transmission of the outmoded data throughout the
network. This paper introduced improved SPIN which is further enhancement of SPIN protocol.
Survey and Analysis of Medium Access Control Protocols for Wireless Sensor Ne...
This document summarizes and compares four medium access control (MAC) protocols for wireless sensor networks: T-MAC, B-MAC, S-MAC, and DSMAC. It discusses the key constraints and characteristics of wireless sensor networks that impact MAC protocol design, including limited energy resources. For each protocol, it describes the protocol's operation, analyzes its power consumption and latency performance, and compares the protocols. It finds that T-MAC is more energy efficient than S-MAC due to its adaptive active period, but S-MAC has lower latency. DSMAC achieves lower power consumption than B-MAC through adaptive duty cycling.
Similar to Summary Report 2 (20)
Fault Diagonosis Approach for WSN using Normal Bias Technique
Fault Diagonosis Approach for WSN using Normal Bias Technique
Defending Reactive Jammers in WSN using a Trigger Identification Service.
Defending Reactive Jammers in WSN using a Trigger Identification Service.
IRJET- A Survey on Swarm Optimization Technique in Wireless Sensor Network
IRJET- A Survey on Swarm Optimization Technique in Wireless Sensor Network
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
Reliable and Efficient Data Acquisition in Wireless Sensor Network
Reliable and Efficient Data Acquisition in Wireless Sensor Network
Survey on sensor protocol for information via negotiation (spin) protocol
Survey on sensor protocol for information via negotiation (spin) protocol
Survey on sensor protocol for information via negotiation (spin) protocol
Survey on sensor protocol for information via negotiation (spin) protocol
Design and Implementation a New Energy Efficient Clustering Algorithm Using t...
Design and Implementation a New Energy Efficient Clustering Algorithm Using t...
EFFECT OF DUTY CYCLE ON ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORKS
EFFECT OF DUTY CYCLE ON ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORKS
Top 10 Read Article - International Journal of Wireless & Mobile Networks (IJ...
Top 10 Read Article - International Journal of Wireless & Mobile Networks (IJ...
An Improvement to Sensor Protocol for Information via Negotiation (SPIN) Pro...
An Improvement to Sensor Protocol for Information via Negotiation (SPIN) Pro...
Survey and Analysis of Medium Access Control Protocols for Wireless Sensor Ne...
Survey and Analysis of Medium Access Control Protocols for Wireless Sensor Ne...
More from Hitesh Mohapatra
Virtualization: A Key to Efficient Cloud Computing
The document discusses various types of virtualization used in cloud computing. It describes virtualization as a technique that allows sharing of physical resources among multiple customers. There are two main types of hypervisors - Type 1 hypervisors run directly on hardware while Type 2 hypervisors run on a host operating system. The document also summarizes different types of virtualization including hardware, software, memory, storage, network, and desktop virtualization. Benefits of virtualization include improved efficiency, outsourcing of hardware costs, testing software in isolated environments, and emulating machines beyond physical availability.
Automating the Cloud: A Deep Dive into Virtual Machine Provisioning
Virtual machine provisioning allows users to quickly provision new virtual machines through a self-service interface in minutes, rather than the days it previously took to provision physical servers. Virtual machine migration also allows live migration of virtual machines between physical hosts in milliseconds for maintenance or upgrades. Standards like OVF and OCCI help ensure interoperability and portability of virtual machines across platforms. The virtual machine lifecycle includes provisioning, serving requests, and deprovisioning resources when the service is ended.
Harnessing the Power of Google Cloud Platform: Strategies and Applications
The document discusses Google Cloud Platform (GCP), a suite of cloud computing services provided by Google. It provides infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). GCP allows users to access computing power, storage, databases, and other applications through remote servers on the internet. It offers advantages like scalability, security, redundancy, and cost-effectiveness compared to traditional data centers. Example applications of GCP include enabling collaborative document editing in real-time.
Scheduling in Cloud Computing
Scheduling refers to allocating computing resources like processor time and memory to processes. In cloud computing, scheduling maps jobs to virtual machines. There are two levels of scheduling - at the host level to distribute VMs, and at the VM level to distribute tasks. Common scheduling algorithms include first-come first-served (FCFS), shortest job first (SJF), round robin, and max-min. FCFS prioritizes older jobs but has high wait times. SJF prioritizes shorter jobs but can starve longer ones. Max-min prioritizes longer jobs to optimize resource use. The choice depends on goals like throughput, latency, and fairness.
Cloud-Case study
This document provides a template for submitting case studies to a case study compendium on cloud computing solutions. The template requests information on the customer organization, industry, location, the cloud solution provider, area of application of the cloud solution, challenges addressed, objectives, timeline of implementation, solution approach, challenges during implementation, benefits to the customer, innovation enabled, partnerships involved, and a customer testimonial. It requests details on the cloud solution type (IaaS, PaaS, or SaaS), quantitative and qualitative benefits realized by the customer, and how the solution helped boost innovation. Contact details of the submitter are also requested. The focus is on how cloud platforms and solutions enabled customer enterprises to innovate and
RAID
RAID (Redundant Array of Independent Disks) uses multiple hard disks or solid-state drives to protect data by storing it across the drives in a way that if one drive fails, the data can still be accessed from the other drives. There are different RAID levels that provide varying levels of data protection and performance. A RAID controller manages the drives in an array, presenting them as a single logical drive and improving performance and reliability. Common RAID levels include RAID 0 for performance without redundancy, RAID 1 for disk mirroring, and RAID 5 for striping with parity data distributed across drives. [/SUMMARY]
Load balancing in cloud computing.pptx
Cloud load balancing distributes workloads and network traffic across computing resources in a cloud environment to improve performance and availability. It routes incoming traffic to multiple servers or other resources while balancing the load. Load balancing in the cloud is typically software-based and offers benefits like scalability, reliability, reduced costs, and flexibility compared to traditional hardware-based load balancing. Common cloud providers like AWS, Google Cloud, and Microsoft Azure offer multiple load balancing options that vary based on needs and network layers.
Cluster Computing
A computer cluster is a set of computers that work together so that they can be viewed as a single system.
ITU-T requirement for cloud and cloud deployment model
List and explain the functional requirements for networking as per the ITU-T technical report. List and explain cloud deployment models and list relative strengths and weaknesses of the deployment models with neat diagram.
Leetcode Problem Solution
The document contains descriptions of several LeetCode problems ranging from Medium to Hard difficulty. It provides details about the Maximum Level Sum of a Binary Tree, Jump Game III, Minesweeper, Binary Tree Level Order Traversal, Number of Operations to Make Network Connected, Open the Lock, Sliding Puzzle, and Trapping Rain Water II problems. It also includes pseudocode and explanations for solving the Number of Operations to Make Network Connected and Open the Lock problems.
Leetcode Problem Solution
The document discusses three problems: (1) finding the cheapest flight route between two cities with at most k stops using DFS and pruning; (2) merging k sorted linked lists into one sorted list using a priority queue; (3) using a sequence of acceleration (A) and reversing (R) instructions to reach a target position in the shortest number of steps for a car that can move to negative positions.
Trie Data Structure
Trie Data Structure
LINK: https://leetcode.com/tag/trie/
Easy:
1. Longest Word in Dictionary
Medium:
1. Count Substrings That Differ by One Character
2. Replace Words
3. Top K Frequent Words
4. Maximum XOR of Two Numbers in an Array
5. Map Sum Pairs
Hard:
1. Concatenated Words
2. Word Search II
Reviewing basic concepts of relational database
The document discusses the basics of relational databases. It defines what a database is, the advantages it provides over file-based data storage, and some disadvantages. It also covers relational database concepts like tables, records, fields, keys, and normalization. The document explains how to design a relational database by determining the purpose and entities, modeling relationships with E-R diagrams, and following steps to normalize the data.
Reviewing SQL Concepts
https://youtu.be/0l83FZfrerg
What is SQL?
What Can SQL do?
SQL Syntax
Semicolon after SQL Statements?
Advanced database protocols
https://youtu.be/yP14a2Qzx8c
DATABASE PROTOCOLS OVERVIEW
Oracle Two-Tier
Two-Tier and Three-Tier Computing Models
Measures of query cost
The document discusses measures of query cost in database management systems. It explains that query cost can be measured by factors like the number of disk accesses, size of the table, and time taken by the CPU. It further breaks down disk access time into components like seek time, rotational latency, and sequential vs. random I/O. The document then provides an example formula to calculate estimated query cost based on these components.
Involvement of WSN in Smart Cities
This document discusses how wireless sensor networks (WSNs) can be used in smart city applications. It first defines WSNs as self-configured, infrastructure-less networks that use sensors to monitor conditions like temperature, sound, and pollution. It then discusses how WSNs can influence lifestyle by enabling applications in areas like healthcare, transportation, the environment and more. Finally, it discusses how WSNs are a primary strength for smart cities by allowing remote and cost-effective monitoring of infrastructure and resources across applications like smart water, smart grid, and smart transportation.
Data Structure and its Fundamentals
The document provides an overview and syllabus for a course on fundamentals of data structures. It covers topics such as linear and non-linear data structures including arrays, stacks, queues, linked lists, trees and graphs. It describes various data types in C like integers, floating-point numbers, characters and enumerated types. It also discusses operations on different data structures and analyzing algorithm complexity.
WORKING WITH FILE AND PIPELINE PARAMETER BINDING
EXPORTING USER INFORMATION TO A FILE
SEND OUTPUT CONSISTING OF PIPELINE DATA
PREDICTING PIPELINE BEHAVIOR
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Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
Virtualization: A Key to Efficient Cloud Computing
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Harnessing the Power of Google Cloud Platform: Strategies and Applications
Harnessing the Power of Google Cloud Platform: Strategies and Applications
ITU-T requirement for cloud and cloud deployment model
ITU-T requirement for cloud and cloud deployment model
Recently uploaded
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原件一模一样【微信：bwp0011】《(Humboldt毕业证书)柏林大学毕业证学位证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
【主营项目】
一.毕业证【微bwp0011】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
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◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
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◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Advanced control scheme of doubly fed induction generator for wind turbine us...
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.
cnn.pptx Convolutional neural network used for image classication
Convolutional Neural Network used for image classification
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra
22CYT12-Unit-V-E Waste and its Management.ppt
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.
Data Driven Maintenance | UReason Webinar
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
AI assisted telemedicine KIOSK for Rural India.pptx
It gives the overall description of SIH problem statement " AI assisted telemedicine KIOSK for Rural India".
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
artificial intelligence and data science contents.pptx
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
原版一模一样【微信：741003700 】【美国密歇根州立大学毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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- 1. SUMMARY REPORT 2 Journal: A survey on fault node detection and recovery mechanisms in wireless sensor network, S. Keerthana; J. C Miraclin Joyce Pamila, 2015 International Conference on Advanced Computing and Communication Systems,Year: 2015,Pages: 1 – 5 , IEEE Conferences Abstract: In this paper I studied the available lifetime enhancement techniques and to come up with the idea for improving their performance or to propose a new approach for lifetime enhancement of Wireless sensor networks. Keywords: Wireless sensor network; working threshold; battery energy; lifetime; transmission loading. I studied: CHALLENGES AND DESIGN ISSUES IN WSN 1. Fault Tolerance 2. Scalability 3. Production Costs 4. Sensor Network Topology 5. Environment 6. Transmission Media 7. Power Consumption METHODOLOGIES FOR FAULT NODE DETECTION AND RECOVERY 1. Directed Diffusion 2. A Fault Management Protocol for Wireless Sensor Networks 3. Ladder Diffusion using Ant Colony Optimization 4. Fault Node Recovery in Wireless sensor Networks 5. Routing in Wireless Sensor Networks using Multiple Paths Load Balancing Fault Tolerance Bandwidth Aggregation Reduced Delay 6. Dynamical Jumping for Fault Tolerance in Real Time Fault node detection Network congestion detection Void region detection The jumping and routing selection Conclusion: The pros and cons of some of the existing methods are analyzed.