Ieee 2015 16 java titles for me-mtech @triple n infotec-trichysubhu8430
This document lists 37 Java project captions from Triple N Infotech. Triple N Infotech is a software company located in Chennai and Trichy, India. They provide contact information and a website. The project captions cover topics related to cloud computing, security, machine learning, social networks, and more. Each project caption is given a unique identifying code starting with "TNIJV".
M.E/M.TECH IEEE POWERPROJECTS @ TRICHY TRIPLE N INFOTECH.subhu8430
Triple N Infotech Provides Project Support to Students of all departments in the field of EMBEDDED SYSTEM, DIP, VLSI, NS2, JAVA, DOTNET, POWER ELECTRONICS, POWER SYSTEM and much more technologies. This project Assistance would help enhance the student knowledge in the appropriate field, thus making them more adapt to the current market scenario.
TRIPLE N INFOTECH
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403, 7200021403/04.
Ieee 2015 16 java titles for me-mtech @triple n infotec-trichysubhu8430
This document lists 37 Java project captions from Triple N Infotech. Triple N Infotech is a software company located in Chennai and Trichy, India. They provide contact information and a website. The project captions cover topics related to cloud computing, security, machine learning, social networks, and more. Each project caption is given a unique code like TNIJV1, TNIJV2, etc.
Ieee 2015 16 java titles for me-mtech @triple n infotec-trichysubhu8430
This document lists 37 Java project captions from Triple N Infotech. Triple N Infotech is a software company located in Chennai and Trichy, India. They provide contact information and a website. The project captions cover topics related to cloud computing, security, machine learning, social networks, and more. Each project caption is given a unique identifying code starting with "TNIJV".
This document lists 66 project captions for embedded systems projects proposed by the Department of Electronics and Communication Engineering at Sri Kamatchi Complex in Trichy, India. The projects focus on areas like wireless sensor networks, smart homes, agriculture monitoring, traffic control, health monitoring, industrial monitoring, and more. Contact information is provided for the institute.
Ieee 2015 16 java titles for me-mtech @triple n infotec-trichysubhu8430
This document lists 37 Java project captions from Triple N Infotech. Triple N Infotech is a software company located in Chennai and Trichy, India. They provide contact information and a website. The project captions cover topics related to cloud computing, security, machine learning, social networks, and more. Each project caption is given a unique code like TNIJV1, TNIJV2, etc.
Ieee 2015 16 java titles for me-mtech @triple n infotec-trichysubhu8430
This document lists 37 Java project captions from Triple N Infotech. Triple N Infotech is a software company located in Chennai and Trichy, India. They provide contact information and a website. The project captions cover topics related to cloud computing, security, machine learning, social networks, and more. Each project caption is given a unique identifying code starting with "TNIJV".
M.E/M.TECH IEEE POWERPROJECTS @ TRICHY TRIPLE N INFOTECH.subhu8430
Triple N Infotech Provides Project Support to Students of all departments in the field of EMBEDDED SYSTEM, DIP, VLSI, NS2, JAVA, DOTNET, POWER ELECTRONICS, POWER SYSTEM and much more technologies. This project Assistance would help enhance the student knowledge in the appropriate field, thus making them more adapt to the current market scenario.
TRIPLE N INFOTECH
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403, 7200021403/04.
Ieee 2015 16 java titles for me-mtech @triple n infotec-trichysubhu8430
This document lists 37 Java project captions from Triple N Infotech. Triple N Infotech is a software company located in Chennai and Trichy, India. They provide contact information and a website. The project captions cover topics related to cloud computing, security, machine learning, social networks, and more. Each project caption is given a unique code like TNIJV1, TNIJV2, etc.
Ieee 2015 16 java titles for me-mtech @triple n infotec-trichysubhu8430
This document lists 37 Java project captions from Triple N Infotech. Triple N Infotech is a software company located in Chennai and Trichy, India. They provide contact information and a website. The project captions cover topics related to cloud computing, security, machine learning, social networks, and more. Each project caption is given a unique identifying code starting with "TNIJV".
This document lists 66 project captions for embedded systems projects proposed by the Department of Electronics and Communication Engineering at Sri Kamatchi Complex in Trichy, India. The projects focus on areas like wireless sensor networks, smart homes, agriculture monitoring, traffic control, health monitoring, industrial monitoring, and more. Contact information is provided for the institute.
Ieee 2015 16 java titles for me-mtech @triple n infotec-trichysubhu8430
This document lists 37 Java project captions from Triple N Infotech. Triple N Infotech is a software company located in Chennai and Trichy, India. They provide contact information and a website. The project captions cover topics related to cloud computing, security, machine learning, social networks, and more. Each project caption is given a unique code like TNIJV1, TNIJV2, etc.
This document provides a list of 53 projects related to image processing, computer vision, biometrics and signal processing. The projects focus on topics such as change detection, object classification, image segmentation, image enhancement, image compression, watermarking, biometrics, image retrieval and signal denoising using techniques including neural networks, clustering, sparse representation, wavelets and machine learning. The document also provides contact information for the IEEE 2015-2016 project caption in Trichy, India.
This document provides a list of 53 projects related to image processing, computer vision, and biometrics. The projects cover topics such as change detection, object classification, image segmentation, image enhancement, image compression, watermarking, biometrics, and content-based image retrieval. The document also provides contact information for IEEE 2015-2016 PROJECT CAPTION –MATLAB located in Trichy, India.
This document lists 66 project captions for embedded systems projects proposed by the Department of Electronics and Communication Engineering at Sri Kamatchi Complex in Trichy, India. The projects focus on areas like wireless sensor networks, smart homes, agriculture monitoring, structural health monitoring, traffic control, biometric identification, medical devices, and industrial automation. Contact information is provided for more details on the proposed embedded systems projects.
This document provides a list of 53 projects related to image processing, computer vision, biometrics and signal processing. The projects focus on topics such as change detection, object classification, image segmentation, image enhancement, image compression, watermarking, biometrics, image retrieval and signal denoising using techniques including neural networks, clustering, sparse representation, wavelets and machine learning. The document also provides contact information for the IEEE 2015-2016 project caption in Trichy, India.
This document provides a list of 53 projects related to image processing, computer vision, and biometrics. The projects cover topics such as change detection, object classification, image segmentation, image enhancement, image compression, watermarking, biometrics, and content-based image retrieval. The document also provides contact information for IEEE 2015-2016 PROJECT CAPTION –MATLAB located in Trichy, India.
This document lists 66 project captions for embedded systems projects proposed by the Department of Electronics and Communication Engineering at Sri Kamatchi Complex in Trichy, India. The projects focus on areas like wireless sensor networks, smart homes, agriculture monitoring, structural health monitoring, traffic control, biometric identification, medical devices, and industrial automation. Contact information is provided for more details on the proposed embedded systems projects.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
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.
artificial intelligence and data science contents.pptxGauravCar
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
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#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/)
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.
1. IEEE 2015-2016 PROJECT CAPTION –JAVA
73/5,3rd Floor,Sri Kamatchi Complex
Opp.City Hospital (Near Lakshmi Complex)
Trichy- 620018, Contact No: 7200021403/04
Sl.No PROJECT CAPTION
DTSJV1
A Decentralized Cloud Firewall Framework with Resources Provisioning Cost
Optimization
DTSJV2 A Hybrid Cloud Approach for Secure Authorized Deduplication
DTSJV3
A Privacy-Aware Authentication Scheme for Distributed Mobile Cloud
Computing Services
DTSJV4
A Scalable and Reliable Matching Service for Content-Based Publish/Subscribe
Systems
DTSJV5
Circuit Ciphertext-policy Attribute-based Hybrid Encryption with Verifiable
Delegation in
Cloud Computing
DTSJV6
Control Cloud Data Access Privilege and Anonymity With Fully Anonymous
Attribute-Based Encryption
DTSJV7
Innovative Schemes for Resource Allocation in the Cloud for Media Streaming
Applications
DTSJV8 Privacy-Preserving Public Auditing for Regenerating-Code-Based Cloud Storage
DTSJV9
Public Integrity Auditing for Dynamic Data Sharing with Multi-User
Modification
DTSJV10
Service Operator-Aware Trust Scheme for Resource Matchmaking across
Multiple Clouds
DTSJV11
Public Integrity Auditing for Shared Dynamic Cloud Data with Group User
Revocation
DTSJV12
A Scalable and Reliable Matching Service for Content-Based Publish/Subscribe
Systems
DTSJV13
CloudArmor: Supporting Reputation-based Trust Management for Cloud
Services
DTSJV14
Control Cloud Data Access Privilege and Anonymity with Fully Anonymous
Attribute-Based Encryption
DTSJV15 Enabling Cloud Storage Auditing With Key-Exposure Resistance
DTSJV16
An Iterative MapReduce Based Frequent Subgraph Mining Algorithm
DTSJV17 Collaborative Fuzzy Clustering From Multiple Weighted Views
2. IEEE 2015-2016 PROJECT CAPTION –JAVA
73/5,3rd Floor,Sri Kamatchi Complex
Opp.City Hospital (Near Lakshmi Complex)
Trichy- 620018, Contact No: 7200021403/04
DTSJV18 Cost-Effective Authentic and Anonymous Data Sharing with Forward Security
DTSJV19
Discovering Data Set Nature through Algorithmic Clustering Based on String
Compression
DTSJV20
Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based
on the Word
Alignment Model
DTSJV21 Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites
DTSJV22 Resampling-Based Ensemble Methods for Online Class Imbalance Learning
DTSJV23
k-Nearest Neighbor Classification over Semantically Secure Encrypted Relational
Data
DTSJV24
PPDM: Privacy-preserving Protocol for Dynamic Medical Text Mining and Image
Feature Extraction from Secure Data Aggregation in Cloud-assisted e-Healthcare
Systems
DTSJV25 Scalable Constrained Spectral Clustering
DTSJV26
Scalable Distributed Processing of K Nearest Neighbor Queries over Moving
Objects
DTSJV27
Smart Diary: A Smartphone-Based Framework for Sensing, Inferring, and
Logging Users’ Daily Life
DTSJV28 Efficient reversible data hiding based on multiple histograms modification
DTSJV29 Image Search Reranking With Hierarchical Topic Awareness
DTSJV30 Learning to Rank Using User Clicks and Visual Features for Image Retrieval
DTSJV31 Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites
DTSJV32
What Can Pictures Tell Us About Web Pages? Improving Document Search Using
Images
DTSJV33
Adaptive Video Streaming for Wireless Networks With Multiple Users and
Helpers
DTSJV34 Context-Based Access Control Systems for Mobile Devices
3. IEEE 2015-2016 PROJECT CAPTION –JAVA
73/5,3rd Floor,Sri Kamatchi Complex
Opp.City Hospital (Near Lakshmi Complex)
Trichy- 620018, Contact No: 7200021403/04
DTSJV35 Discovery of Ranking Fraud for Mobile Apps
DTSJV36
Friendbook: A Semantic-Based Friend Recommendation System for Social
Networks
DTSJV37
Mobile Data Gathering with Load Balanced Clustering and Dual Data Uploading
in Wireless Sensor Networks
DTSJV38 Secure Sharing and Searching for Real-Time Video Data in Mobile Cloud
DTSJV39 A Survey of Security Attacks in Information-Centric Networking
DTSJV40 Attribute-Based Encryption With Efficient Verifiable Outsourced Decryption
DTSJV41 Cooperative Positioning and Tracking in Disruption Tolerant Networks
DTSJV42 Identifying High-Cardinality Hosts from Network-wide Traffic Measurements
DTSJV43 Low-Rate DoS Attacks Detection Based on Network Multifractal
DTSJV44
Secure Data Aggregation Technique for Wireless Sensor Networks in the
Presence of Collusion Attacks
DTSJV45
Software Puzzle: A Countermeasure to Resource-Inflated Denial-of-Service
Attacks
DTSJV46 Top-k Similarity Join in Heterogeneous Information Networks
DTSJV47
VMbuddies: Coordinating Live Migration of Multi-Tier Applications in Cloud
Environments
DTSJV48 Towards Effective Bug Triage with Software Data Reduction Techniques
DTSJV49
Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous
Hadoop Clusters
DTSJV50 An Efficient Privacy-Preserving Ranked Keyword Search Method
DTSJV51
Exact and Heuristic Resource Mapping Algorithms for Distributed and Hybrid
Clouds
DTSJV52
HadoopCL2: Motivating the Design of a Distributed, Heterogeneous
Programming System With Machine-Learning Applications
DTSJV53 i2MapReduce: Incremental MapReduce for Mining Evolving Big Data