This document discusses incorporating license management in cloud computing environments. It presents two challenges: 1) how to issue licenses in a distributed environment where resources and users are not centralized, and 2) how to address the economic and legal issues of pay-per-use licensing. The paper then proposes two mechanisms for issuing licenses - by user or by process. It also outlines the system design, which includes double authentication of users, accounting and billing, and easy access and job submission while monitoring licenses. The goal is to enable a smooth transition from traditional licensing to approaches that work for distributed cloud environments.
Layer 7 & Burton Group: New Cloud Security Model RequirementsCA API Management
This document summarizes Anne Thomas Manes' presentation on new security models for cloud computing. It discusses how cloud computing requires rethinking security architectures, with services spanning internal and external clouds. It recommends a service-oriented approach to security using layered defenses, mutual reinforcement of service-oriented architecture and security, and considering cloud brokers to enforce policies. Cloud governance is seen as the evolution of service-oriented architecture governance to provide visibility, security and control in cloud environments.
1. IBM introduces SmartCloud Entry to enable organizations to easily deploy private clouds with minimal disruption. SmartCloud Entry leverages PowerVM virtualization software to quickly provision cloud services on Power Systems servers.
2. Private clouds can introduce cost savings and improved responsiveness by eliminating administrative overhead and precisely allocating resources. However, many organizations will gradually adopt cloud computing by starting with simpler initiatives before deploying advanced private clouds.
3. SmartCloud Entry provides a low-risk way for organizations to begin their transition to cloud computing by standardizing services, creating service libraries for self-provisioning, and utilizing the scalability and reliability of Power Systems.
This is Lenovo's presentation at FETC 2013.
The mega-trends of bring-your-own-device (BYOD) and the consumerization of IT go directly against the desire to limit security exposure and keep TCO low. In this session, Rich discusses approaches to meeting both needs plus drill down on how and where cloud computing can ultimately, resolve these seemingly mutually exclusive goals and streamline the enablement of BYOD.
Presenter: Rich Cheston, Chief Technical Architect, Distinguished Engineer and Master Inventor, Lenovo
www.lenovo.com/eduevents
2010 Software Licensing and Pricing Survey Results and 2011 PredictionsFlexera
2010 Software Licensing and Pricing Survey Results and 2011 Predictions by Amy Konary, Director, Software Pricing and Licensing, IDC
Presented at SoftSummit 2010
This document discusses new security risks associated with using cloud servers for infrastructure services. It notes that cloud servers have more exposure than traditional servers since perimeter security controls are limited. Additionally, the ability to rapidly scale servers through cloning and cloud bursting significantly multiplies potential attack surfaces if vulnerabilities are not addressed. Proper server hardening and ongoing patch management are critical to secure cloud infrastructure environments.
The document is a presentation about running SagePFW in a private cloud called vCloud by Vertical Solutions. It defines cloud computing, discusses the benefits of vCloud such as scalability, security and cost savings over an in-house IT system. It provides an example showing the vCloud solution can save a SagePFW client over $30,000 in costs over 3 years compared to an in-house system. The presentation concludes by taking questions.
Dr. Michael Valivullah, NASS/USDA - Cloud Computingikanow
This document provides an overview of cloud computing. It defines cloud computing as a model enabling ubiquitous, convenient access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. The document discusses different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also covers public and private cloud models and highlights benefits of cloud computing such as agility, cost reduction, and increased efficiency.
How Enterprises are using the AWS Cloud, Dan Powers, VP, AWS Amazon Web Services
Enterprises are increasingly moving infrastructure and applications to the AWS cloud. The document discusses how the AWS cloud provides benefits such as no upfront capital expenses, low variable pricing where customers only pay for what they use, self-service infrastructure provisioning, and the ability to easily scale resources up and down as needed. It also discusses how enterprises are using AWS to run business applications, web applications, big data and high performance computing workloads, and for disaster recovery. The document cites examples of enterprises saving costs and improving agility by using AWS.
The Enterprise Cloud: Immediate. Urgent. Inevitable.Peter Coffee
Peter Coffee presentation to 2010 Spring Conference of Colorado Government Association of IT on cloud computing status and prospects for application development, collaboration and cloud/legacy integration
Broadview Networks offers cloud computing services that allow businesses to:
- Deliver a corporate desktop from anywhere in minutes while maintaining control
- Outsource selected functions to a scalable cloud environment
- Publish and manage business applications with few mouse clicks
Cloud computing provides benefits like mobility, lower costs, disaster avoidance and increased security compared to traditional on-premise IT systems. Broadview can customize a cloud strategy and services to meet specific business needs.
Cloud computing has arrived on the IT landscape with all the commotion of a Hollywood blockbuster in terms of its media coverage. The hype and chatter that this has caused has arguably not helped its initial growth and development as companies have been at the mercy of a mixed set of messages, some of which have almost approached the point of confusion in various cases.
The document discusses cloud computing, including its definition, features, models, advantages, and challenges. It provides statistics on the growth of the cloud computing market and identifies Spain as a leading location for cloud hosting. The objectives are to analyze the current situation and impact of cloud computing, identify opportunities for growth and use among Spanish SMEs from economic and strategic perspectives, and examine best practices. The document contains sections on the concept of cloud computing, a survey of Spanish SMEs, expert opinions, impact evaluation, and best practices.
This document discusses how traditional anti-malware solutions are no longer sufficient to protect against modern cyber threats. It outlines how malware has evolved from disruptive viruses created by hackers to sophisticated programs developed by organized criminal groups to steal identities and financial information for profit. It explains how the internet, and especially websites, have become the primary attack vector used by cybercriminals. Traditional signature-based anti-malware is ineffective against these new threats because malware changes rapidly and uses evasion techniques to avoid detection. The document promotes AVG's three-layer protection approach and its ability to provide stronger security through behavioral monitoring and heuristic analysis in addition to signatures.
How to Transform Enterprise Applications to On-premise Clouds with Wipro and ...Eucalyptus Systems, Inc.
The document discusses how to transform enterprise applications to on-premise clouds with Wipro and Eucalyptus. It provides an overview of Eucalyptus cloud infrastructure as a service and private clouds. It discusses private cloud use cases, preparing for private cloud deployment including understanding workload and virtual machine development, and architecting a private cloud. It also discusses Eucalyptus version 3 capabilities and Wipro's integrated cloud services.
Cloud marketplaces will open standards makes dreams of profitability a realit...Khazret Sapenov
1) The document discusses how open standards like the Application Packaging Standard (APS) could help enable a new cloud services ecosystem where ISVs can more easily distribute applications to thousands of cloud service providers, who can then offer these applications to millions of SMB customers.
2) APS aims to standardize how software and services are packaged for cloud distribution in order to simplify deployment, billing, integration and administration across the ecosystem.
3) Adopting standards like APS could significantly grow the SMB cloud market by making it easier for ISVs and service providers to participate and for SMBs to obtain bundled cloud solutions.
Support you Microsoft cloud with Microsoft services By Anis Chebbi)TechdaysTunisia
The document provides an agenda for a conference on supporting Microsoft cloud services. It discusses Microsoft's approach to implementing cloud services globally across many markets and languages. It then outlines the value proposition of private clouds for businesses and how Microsoft's data center services and journey to the cloud offerings can help with private cloud transformation and infrastructure as a service.
This document summarizes a research paper that proposes a new network coding technique to preserve privacy in multi-hop wireless networks. The technique uses homomorphic encryption to encrypt global encoding vectors (GEVs) such that intermediate nodes can perform network coding operations on encrypted messages without decrypting them. This allows for enhanced source anonymity by preventing traffic analysis and flow tracing attacks. The proposed technique offers efficiency gains over existing schemes by avoiding decryption at intermediate nodes, and ensures GEVs remain invertible, an important requirement for network coding. The objective is to achieve source anonymity while also detecting the number of hackers attempting to attack the network or target specific nodes.
This document summarizes a research paper that describes the development and verification of a VHDL code for a 16-bit analog-to-digital converter (ADC) for an FPGA-based beam position measurement board. The board uses a Spartan-3 FPGA and 4-channel 16-bit ADC interfaced with a VME bus to digitize signals from a beam position indicator and store the data in onboard memory. The VHDL code for the ADC was developed and tested using various tools. Testing verified the functionality of the ADC, VME interface, and data acquisition.
This document discusses various types of denial of service (DoS) attacks in wireless networks and techniques to detect them. It describes three main types of DoS attacks: 1) selective forwarding attacks, where nodes forward only some packets; 2) pollution attacks, where corrupted packets are injected; and 3) jamming attacks, which block communication channels. It then explains detection techniques for each type of attack, including channel-aware detection for selective forwarding, code guard using digital signatures to detect pollution, and using honey nodes to detect jamming attacks. The goal is to identify misbehaving nodes and prevent disruption of legitimate network traffic.
The document describes the design and implementation of a 64-bit arithmetic logic unit (ALU) and compares its speed and power consumption on different field programmable gate arrays (FPGAs). Key aspects include:
1) The 64-bit ALU design supports 16 instructions and operates in a power-down mode when no instructions are available to reduce power consumption.
2) The design was simulated in Verilog and synthesized for an FPGA.
3) When implemented on different FPGAs, the design achieved speeds up to 203MHz on Spartan2 but consumed only 7mW of power, while Virtex 4 provided the highest speed of 597MHz but consumed 129mW.
This document discusses red-eye effect in photographs and algorithms for detecting and correcting red-eye. It begins by explaining what causes red-eye effect and how flash light reflecting off the blood vessels in the eye makes the pupil appear red in photographs. It then discusses previous work on red-eye detection and correction algorithms. The proposed algorithm uses three main steps: 1) face detection using Viola-Jones algorithm, 2) red-eye detection within the detected face regions, and 3) red-eye correction using in-painting to remove the red-eye regions and paint the pupils a proper circular shape. The algorithm is tested on large numbers of photographs to evaluate its effectiveness compared to conventional algorithms.
This document provides a comparative study of two-way finite automata and Turing machines. Some key points:
- Two-way finite automata are similar to read-only Turing machines in that they have a finite tape that can be read in both directions, but cannot write to the tape.
- Turing machines have an infinite tape that can be read from and written to, allowing them to recognize recursively enumerable languages.
- Both models are examined in their ability to accept the regular language L={anbm|m,n>0}.
- The time complexity of a two-way finite automaton for this language is O(n2) due to making two passes over the
Electrically small antennas: The art of miniaturizationEditor IJARCET
We are living in the technological era, were we preferred to have the portable devices rather than unmovable devices. We are isolating our self rom the wires and we are becoming the habitual of wireless world what makes the device portable? I guess physical dimensions (mechanical) of that particular device, but along with this the electrical dimension is of the device is also of great importance. Reducing the physical dimension of the antenna would result in the small antenna but not electrically small antenna. We have different definition for the electrically small antenna but the one which is most appropriate is, where k is the wave number and is equal to and a is the radius of the imaginary sphere circumscribing the maximum dimension of the antenna. As the present day electronic devices progress to diminish in size, technocrats have become increasingly concentrated on electrically small antenna (ESA) designs to reduce the size of the antenna in the overall electronics system. Researchers in many fields, including RF and Microwave, biomedical technology and national intelligence, can benefit from electrically small antennas as long as the performance of the designed ESA meets the system requirement.
Cloud computing provides on-demand, pay-as-you-go computing resources over the internet. It has grown rapidly since the 2000s as a more efficient and flexible alternative to traditional computing models. While promising lower costs and increased agility, cloud computing also presents challenges regarding security, compliance with regulations, vendor lock-in, and auditability that businesses must address through service level agreements with cloud vendors. As the cloud computing industry and standards continue to evolve, many expect it will transform how IT resources are utilized.
Trust Assessment Policy Manager in Cloud Computing – Cloud Service Provider’s...idescitation
Cloud computing is a model for enabling convenient, on-demand network access
to a shared pool of configurable computing resources. Reliability in compute cloud is an
important aspect in Quality of Service which needs to be addressed in order to foster the
adoption of compute cloud. In today’s integrated environment the distributed systems is
employed to carry out computational intensive task at a faster rate without much
investment. The Cloud is a multitenant architecture which allows faster computation with
high scalability at a lower cost thereby the users can share the same physical infrastructure.
Individual customers deploy their applications in such environment will occupy the virtual
partitions on the platform. This paper describes a straightforward procedure to analyze the
reliability of the application from the view point of the resource provider. A trust
component is implemented to provide preventive control and to mitigate the occurrence of
any non-permissible action by using the detective mechanism. Such mechanisms are used to
identify the privacy risk and it further prevents from utilization. Hence, in this paper trust
assessment is performed before the user is allowed to share the multitenant infrastructure.
The cloud can provide scalable and reliable service for the legitimate users. The proposed
work is tested using tools Aneka and Globus Toolkit.
Cloud Computing for college presenation project.Mahesh Tibrewal
This presentation I've made on Cloud computing can be used by students for their college projects. I've tried to make this as colourful and attractive as possible without losing the relevance with the topic.
Guddu Kumar. “A Review on Data Protection of Cloud Computing Security, Benefits, Risks and Suggestions” United International Journal for Research & Technology (UIJRT) 1.2 (2019): 26-34.
A Secure Cloud Storage System with Data Forwarding using Proxy Re-encryption ...IJTET Journal
Cloud computing provides the facility to access shared resources and common support which contributes services on
demand over the network to perform operations that meet changing business needs. A cloud storage system, consisting of a collection
of storage servers, affords long-term storage services over the internet. Storing the data in a third party cloud system cause serious
concern over data confidentiality, without considering the local infrastructure limitations, the cloud services allow the user to enjoy the
cloud applications. As the different users may be working in the collaborative relationship, the data sharing becomes significant to
achieve productive benefit during the data accessing. The existing security system only focuses on the authentication; it shows that
user’s private data cannot be accessed by the fake users. To address the above cloud storage privacy issue shared authority based
privacy-preserving authentication protocol is used. In the SAPA, the shared access authority is achieved by anonymous access request
and privacy consideration, attribute based access control allows the user to access their own data fields. To provide the data sharing
among the multiple users proxy re-encryption scheme is applied by the cloud server. The privacy-preserving data access authority
sharing is attractive for multi-user collaborative cloud applications.
This document provides an overview of cloud computing, including its key concepts, models, and advantages. The main points are:
- Cloud computing provides on-demand access to computing resources like servers, storage, databases, and applications via the internet. It allows users to avoid upfront infrastructure costs.
- The major cloud service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides access to applications, PaaS provides development platforms, and IaaS provides basic computing resources.
- The key benefits of cloud computing include cost savings, flexibility, scalability, and accessibility of resources from anywhere via
Challenges and benefits for adopting the paradigm of cloud computingcloudresearcher
This document discusses the challenges and benefits of adopting cloud computing. It describes the key cloud computing models including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). The main challenges of adopting cloud computing are privacy, interoperability, and reliability issues. However, there are also significant benefits such as cost savings, easy scalability, and increased productivity. The document provides an overview of the cloud computing paradigm and analyzes both the challenges that must be addressed and advantages that can be gained from cloud adoption.
Challenges and Benefits-for Adopting the Paradigm of Cloud ComputingMervat Bamiah
Cloud computing is a rapidly emerging technology that has removed the saddle of buying licensed software and heavy hardware. By exploiting this technology, clients are able to access resources remotely by using a simple web browser. They are not required to maintain hardware devices or software applications, so it saves managing cost and time for organizations. Many industries, such as banking, healthcare, and education, are moving towards the cloud due to the efficiency of services provided by the pay-per-use pattern. The utilization and payment process of cloud computing is similar to other common utilities such as electricity. As the users of electricity are only required to pay for the amount of electricity consumed throughout the month. Similarly, cloud providers charge the users based on the exploitation of a cloud system or resources such as processing power used, transactions carried out, bandwidth consumed, data transferred, or storage space occupied. Cloud computing is a completely internet dependent technology where client data is stored in the data center of a cloud provider. There are various challenges for adopting cloud computing such as privacy, interoperability and reliability. Beside these challenges, there are also several benefits for adopting this technology such as cost savings, easy scalability, and increased productivity. This research paper introduces a big picture of cloud computing and analyzes the key challenges as well as benefits of adopting the paradigm of cloud computing.
A Secure Cloud Storage System with Data Forwarding using Proxy Re-encryption ...IJTET Journal
1. The document describes a secure cloud storage system that uses proxy re-encryption to allow authorized data sharing among multiple users. It focuses on privacy issues in cloud storage and proposes a solution using proxy re-encryption.
2. Proxy re-encryption schemes allow a proxy (like a cloud server) to alter an encrypted file so that it can be decrypted by another user, without revealing the content to the proxy. The proposed system uses this to share files encrypted for one user so they can be decrypted by another authorized user.
3. The system assigns different trust levels to control what data different users can access. A high trust level allows access to more data fields, while a low trust level restricts access. This trust
Cloud computing charecteristics and types altanai bisht , 2nd year, part iiiALTANAI BISHT
Computing is being transformed to a model consisting of services based on their requirements without regard to where the services are hosted or how they are delivered.
A detailed study of cloud computing is presented. Starting from its basics, the characteristics and different modalities
are dwelt upon. Apart from this, the pros and cons of cloud computing is also highlighted. Apart from this, service
models of cloud computing are lucidly highlighted.
IRJET- Single to Multi Cloud Data Security in Cloud ComputingIRJET Journal
1) The document discusses security issues with storing data on a single cloud and proposes using a multi-cloud approach to increase security. It explores using encryption algorithms like AES and secret sharing to secure data across multiple clouds.
2) The key aspects of the proposed work are to store and operate on data blocks efficiently while preventing unauthorized access through encryption, decryption, and blocking of user IP addresses by the admin.
3) Migrating from a single cloud to a multi-cloud approach helps reduce security risks by distributing data across multiple cloud providers rather than relying on a single provider.
This document provides an overview of key concepts related to cloud computing including:
1) Cloud services refer to technology-enabled services that users can access on-demand, such as photo sharing or enterprise resource planning tools.
2) Cloud computing refers to the scalable infrastructure that allows services to flex resources rapidly in response to variable demand.
3) Most cloud services are multi-tenant, meaning software and computing platforms serve multiple clients with access controls to separate each user.
4) Cloud services provide on-demand access and scaling of resources without users needing to manage the underlying infrastructure.
Introduction to Cloud Computing(UNIT 1).pptxSURBHI SAROHA
This document provides an introduction to cloud computing, including definitions, characteristics, service models, deployment models, and virtualization concepts. It defines cloud computing as storing and accessing data and programs on remote servers hosted on the internet. The main service models are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The primary deployment models are public cloud, private cloud, hybrid cloud, community cloud, and multi-cloud. Virtualization allows for the sharing of physical resources and is key to cloud computing.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document reviews data security, accountability, and load balancing in cloud computing. It discusses how encryption, a trusted third party auditor, and effective resource utilization can help address issues related to data security, monitoring user access to data in the cloud, and reducing latency. The document provides an overview of cloud computing concepts and models before reviewing approaches to securing data, ensuring accountability for data access, and balancing loads across cloud resources. It analyzes parameters for evaluating load balancing algorithms and categorizes common static and dynamic algorithms.
Service Clouds are a key emerging feature of the Future Internet which will provide a basic platform through which it executes virtualized services. For effectively operating a cloud services there is a need to have a monitoring system which provides data on the actual usage and changes in the resources of the cloud and the services running in the cloud. Monitoring and managing cloud is a very different from monitoring and managing the individual servers. This paper will detail the different aspect of the monitoring and the parameters involved in monitoring of the cloud services.
Profit Maximization for Service Providers using Hybrid Pricing in Cloud Compu...Editor IJCATR
Cloud computing has recently emerged as one of the buzzwords in the IT industry. Several IT vendors are promising to offer computation, data/storage, and application hosting services, offering Service-Level Agreements (SLA) backed performance and uptime promises for their services. While these „clouds‟ are the natural evolution of traditional clusters and data centers, they are distinguished by following a pricing model where customers are charged based on their utilization of computational resources, storage and transfer of data. They offer subscription-based access to infrastructure, platforms, and applications that are popularly termed as IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service). In order to improve the profit of service providers we implement a technique called hybrid pricing , where this hybrid pricing model is a pooled with fixed and spot pricing techniques.
The document discusses cloud computing and its benefits for businesses. It defines cloud computing as providing computing resources like servers, storage, and applications over the internet. The cloud delivers a flexible hosting environment that saves corporations money, time, and resources. It allows businesses to increase capacity or add capabilities without investing in new infrastructure. The document then discusses how cloud computing addresses fluctuating demand by providing infrastructure and tools on-demand based on a company's usage and needs. It also outlines the different types of cloud services including Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).
The document discusses cloud computing and its benefits for businesses. It defines cloud computing as providing computing resources like servers, storage, and applications over the internet. The cloud delivers a flexible hosting environment that saves corporations money, time, and resources. It allows businesses to increase capacity or add capabilities without investing in new infrastructure. The document then discusses how cloud computing addresses fluctuating demand by providing infrastructure and tools on a pay-per-use basis. It also outlines the different types of cloud services including Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Finally, it discusses future trends like the growing adoption of hybrid cloud models that integrate public and private clouds.
This document analyzes and compares the performance of the AODV and DSDV routing protocols in a vehicular ad hoc network (VANET) simulation. Simulations were conducted using NS-2, SUMO, and MOVE simulators for a grid map scenario with varying numbers of nodes. The results show that AODV performed better than DSDV in terms of throughput and packet delivery fraction, while DSDV had lower end-to-end delays. However, neither protocol was found to be fully suitable for the highly dynamic VANET environment. The document concludes that further work is needed to develop improved routing protocols optimized for VANETs.
This document discusses the digital circuit layout problem and approaches to solving it using graph partitioning techniques. It begins by introducing the digital circuit layout problem and how it has become more complex with increasing circuit sizes. It then discusses how the problem can be decomposed into subproblems using graph partitioning to assign geometric coordinates to circuit components. The document reviews several traditional approaches to solve the problem, such as the Kernighan-Lin algorithm, and discusses their limitations for larger circuit sizes. It also discusses more recent approaches using evolutionary algorithms and concludes by analyzing the contributions of various approaches.
This document summarizes various data mining techniques that have been used for intrusion detection systems. It first describes the architecture of a data mining-based IDS, including sensors to collect data, detectors to evaluate the data using detection models, a data warehouse for storage, and a model generator. It then discusses supervised and unsupervised learning approaches that have been applied, including neural networks, support vector machines, K-means clustering, and self-organizing maps. Finally, it reviews several related works applying these techniques and compares their results, finding that combinations of approaches can improve detection rates while reducing false alarms.
This document provides an overview of speech recognition systems and recent progress in the field. It discusses different types of speech recognition including isolated word, connected word, continuous speech, and spontaneous speech. Various techniques used in speech recognition are also summarized, such as simulated evolutionary computation, artificial neural networks, fuzzy logic, Kalman filters, and Hidden Markov Models. The document reviews several papers published between 2004-2012 that studied speech recognition methods including using dynamic spectral subband centroids, Kalman filters, biomimetic computing techniques, noise estimation, and modulation filtering. It concludes that Hidden Markov Models combined with MFCC features provide good recognition results for large vocabulary, speaker-independent, continuous speech recognition.
This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts to reduce space and operators. It analyzes the current state of the lines using tools like takt time analysis and MTM/UAS studies. Improvements are identified to eliminate waste, including methods improvements, workplace rearrangement, ergonomic changes, and outsourcing. Paper kaizen is conducted and work elements are retimed. The goal is to integrate the lines to better utilize space and manpower while meeting manufacturing standards.
This document summarizes research on the exposure of microwaves from cellular networks. It describes how microwaves interact with biological systems and discusses measurement techniques and safety standards regarding microwave exposure. While some studies have alleged health hazards from microwaves, independent reviews by health organizations have found no evidence that exposure to microwaves below international safety limits causes harm. The document concludes that with precautions like limiting exposure time and using phones with lower SAR ratings, microwaves from cell phones pose minimal health risks.
This document summarizes a research paper that examines the effect of feature reduction in sentiment analysis of online reviews. It uses principle component analysis to reduce the number of features (product attributes) from a dataset of 500 camera reviews labeled as positive or negative. Two models are developed - one using the original set of 95 product attributes, and one using the reduced set. Support vector machines and naive Bayes classifiers are applied to both models and their performance is evaluated to determine if classification accuracy can be maintained while using fewer features. The results show it is possible to achieve similar accuracy levels with less features, improving computational efficiency.
This document provides a review of multispectral palm image fusion techniques. It begins with an introduction to biometrics and palm print identification. Different palm print images capture different spectral information about the palm. The document then reviews several pixel-level fusion methods for combining multispectral palm images, finding that Curvelet transform performs best at preserving discriminative patterns. It also discusses hardware for capturing multispectral palm images and the process of region of interest extraction and localization. Common fusion methods like wavelet transform and Curvelet transform are also summarized.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document discusses and compares two techniques for image denoising using wavelet transforms: Dual-Tree Complex DWT and Double-Density Dual-Tree Complex DWT. Both techniques decompose an image corrupted by noise using filter banks, apply thresholding to the wavelet coefficients, and reconstruct the image. The Double-Density Dual-Tree Complex DWT yields better denoising results than the Dual-Tree Complex DWT as it produces more directional wavelets and is less sensitive to shifts and noise variance. Experimental results on test images demonstrate that the Double-Density method achieves higher peak signal-to-noise ratios, especially at higher noise levels.
This document compares the k-means and grid density clustering algorithms. It summarizes that grid density clustering determines dense grids based on the densities of neighboring grids, and is able to handle different shaped clusters in multi-density environments. The grid density algorithm does not require distance computation and is not dependent on the number of clusters being known in advance like k-means. The document concludes that grid density clustering is better than k-means clustering as it can handle noise and outliers, find arbitrary shaped clusters, and has lower time complexity.
This document proposes a method for detecting, localizing, and extracting text from videos with complex backgrounds. It involves three main steps:
1. Text detection uses corner metric and Laplacian filtering techniques independently to detect text regions. Corner metric identifies regions with high curvature, while Laplacian filtering highlights intensity discontinuities. The results are combined through multiplication to reduce noise.
2. Text localization then determines the accurate boundaries of detected text strings.
3. Text binarization filters background pixels to extract text pixels for recognition. Thresholding techniques are used to convert localized text regions to binary images.
The method exploits different text properties to detect text using corner metric and Laplacian filtering. Combining the results improves
This document describes the design and implementation of a low power 16-bit arithmetic logic unit (ALU) using clock gating techniques. A variable block length carry skip adder is used in the arithmetic unit to reduce power consumption and improve performance. The ALU uses a clock gating circuit to selectively clock only the active arithmetic or logic unit, reducing dynamic power dissipation from unnecessary clock charging/discharging. The ALU was simulated in VHDL and synthesized for a Xilinx Spartan 3E FPGA, achieving a maximum frequency of 65.19MHz at 1.98mW power dissipation, demonstrating improved performance over a conventional ALU design.
This document describes using particle swarm optimization (PSO) and genetic algorithms (GA) to tune the parameters of a proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. PSO and GA are used to minimize the objective function by adjusting the PID parameters to achieve optimal step response with minimal overshoot, settling time, and rise time. The results show that PSO provides high-quality solutions within a shorter calculation time than other stochastic methods.
This document discusses implementing trust negotiations in multisession transactions. It proposes a framework that supports voluntary and unexpected interruptions, allowing negotiating parties to complete negotiations despite temporary unavailability of resources. The Trust-x protocol addresses issues related to validity, temporary loss of data, and extended unavailability of one negotiator. It allows a peer to suspend an ongoing negotiation and resume it with another authenticated peer. Negotiation portions and intermediate states can be safely and privately passed among peers to guarantee stability for continued suspended negotiations. An ontology is also proposed to provide formal specification of concepts and relationships, which is essential in complex web service environments for sharing credential information needed to establish trust.
This document discusses and compares various nature-inspired optimization algorithms for resolving the mixed pixel problem in remote sensing imagery, including Biogeography-Based Optimization (BBO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). It provides an overview of each algorithm, explaining key concepts like migration and mutation in BBO. The document aims to prove that BBO is the best algorithm for resolving the mixed pixel problem by comparing it to other evolutionary algorithms. It also includes figures illustrating concepts like the species model and habitat in BBO.
This document discusses principal component analysis (PCA) for face recognition. It begins with an introduction to face recognition and PCA. PCA works by calculating eigenvectors from a set of face images, which represent the principal components that account for the most variance in the image data. These eigenvectors are called "eigenfaces" and can be used to reconstruct the face images. The document then discusses how the system is implemented, including preparing a face database, normalizing the training images, calculating the eigenfaces/principal components, projecting the face images into this reduced space, and recognizing faces by calculating distances between projected test images and training images.
This document summarizes research on using wireless sensor networks to detect mobile targets. It discusses two optimization problems: 1) maximizing the exposure of the least exposed path within a sensor budget, and 2) minimizing sensor installation costs while ensuring all paths have exposure above a threshold. It proposes using tabu search heuristics to provide near-optimal solutions. The research also addresses extending the models to consider wireless connectivity, heterogeneous sensors, and intrusion detection using a game theory approach. Experimental results show the proposed mobile replica detection scheme can rapidly detect replicas with no false positives or negatives.
This document compares several propagation path loss models - Okumura, Hata, ECC 33, Cost-231, and SUI - by estimating path losses and signal strengths at 950 MHz in urban, suburban, and rural areas. Path losses are estimated using each model and compared to measured practical data from those environments. The results show that the Hata model most closely matches the practical data across all three environments. Therefore, the Hata model is concluded to be the most suitable for predicting signal strength in urban, suburban, and rural areas.
This document discusses Address Resolution Protocol (ARP) spoofing attacks and proposes a new approach called ASHA to secure the ARP cache and prevent ARP spoofing. ARP spoofing allows attackers to associate their own MAC address with the IP address of another host, intercepting traffic. ASHA uses public/private key cryptography and TCP packets to securely exchange IP-MAC pairs between hosts and maintain the ARP cache in static mode. Experiments show that systems using ASHA are protected from ARP attacks.
Develop Secure Enterprise Solutions with iOS Mobile App Development ServicesDamco Solutions
The security of enterprise apps should not be overlooked by organizations. Since these apps handle confidential finance/user data and business operations, ensuring greater security is crucial. That’s why, businesses should hire dedicated iOS mobile application development services providers for creating super-secured enterprise apps. By incorporating sophisticated security mechanisms, these developers make enterprise apps resistant to a range of cyber threats.
Content source - https://www.bizbangboom.com/articles/enterprise-mobile-app-development-with-ios-augmenting-business-security
Read more - https://www.damcogroup.com/ios-application-development-services
Choosing the Best Outlook OST to PST Converter: Key Features and Considerationswebbyacad software
When looking for a good software utility to convert Outlook OST files to PST format, it is important to find one that is easy to use and has useful features. WebbyAcad OST to PST Converter Tool is a great choice because it is simple to use for anyone, whether you are tech-savvy or not. It can smoothly change your files to PST while keeping all your data safe and secure. Plus, it can handle large amounts of data and convert multiple files at once, which can save you a lot of time. It even comes with 24*7 technical support assistance and a free trial, so you can try it out before making a decision. Whether you need to recover, move, or back up your data, Webbyacad OST to PST Converter is a reliable option that gives you all the support you need to manage your Outlook data effectively.
Finetuning GenAI For Hacking and DefendingPriyanka Aash
Generative AI, particularly through the lens of large language models (LLMs), represents a transformative leap in artificial intelligence. With advancements that have fundamentally altered our approach to AI, understanding and leveraging these technologies is crucial for innovators and practitioners alike. This comprehensive exploration delves into the intricacies of GenAI, from its foundational principles and historical evolution to its practical applications in security and beyond.
Demystifying Neural Networks And Building Cybersecurity ApplicationsPriyanka Aash
In today's rapidly evolving technological landscape, Artificial Neural Networks (ANNs) have emerged as a cornerstone of artificial intelligence, revolutionizing various fields including cybersecurity. Inspired by the intricacies of the human brain, ANNs have a rich history and a complex structure that enables them to learn and make decisions. This blog aims to unravel the mysteries of neural networks, explore their mathematical foundations, and demonstrate their practical applications, particularly in building robust malware detection systems using Convolutional Neural Networks (CNNs).
Improving Learning Content Efficiency with Reusable Learning ContentEnterprise Knowledge
Enterprise Knowledge’s Emily Crockett, Content Engineering Consultant, presented “Improve Learning Content Efficiency with Reusable Learning Content” at the Learning Ideas conference on June 13th, 2024.
This presentation explored the basics of reusable learning content, including the types of reuse and the key benefits of reuse such as improved content maintenance efficiency, reduced organizational risk, and scalable differentiated instruction & personalization. After this primer on reuse, Crockett laid out the basic steps to start building reusable learning content alongside a real-life example and the technology stack needed to support dynamic content. Key objectives included:
- Be able to explain the difference between reusable learning content and duplicate content
- Explore how a well-designed learning content model can reduce duplicate content and improve your team’s efficiency
- Identify key tasks and steps in creating a learning content model
LeadMagnet IQ Review: Unlock the Secret to Effortless Traffic and Leads.pdfSelfMade bd
Imagine being able to generate high-quality traffic and leads effortlessly. Sounds like a dream, right? Well, it’s not. It’s called LeadMagnet IQ, and it’s here to revolutionize your marketing efforts.
(Note: Download the paper about this software. After that, click on [Click for Instant Access] inside the paper, and it will take you to the sales page of the product.)
Redefining Cybersecurity with AI CapabilitiesPriyanka Aash
In this comprehensive overview of Cisco's latest innovations in cybersecurity, the focus is squarely on resilience and adaptation in the face of evolving threats. The discussion covers the imperative of tackling Mal information, the increasing sophistication of insider attacks, and the expanding attack surfaces in a hybrid work environment. Emphasizing a shift towards integrated platforms over fragmented tools, Cisco introduces its Security Cloud, designed to provide end-to-end visibility and robust protection across user interactions, cloud environments, and breaches. AI emerges as a pivotal tool, from enhancing user experiences to predicting and defending against cyber threats. The blog underscores Cisco's commitment to simplifying security stacks while ensuring efficacy and economic feasibility, making a compelling case for their platform approach in safeguarding digital landscapes.
Garbage In, Garbage Out: Why poor data curation is killing your AI models (an...Zilliz
Enterprises have traditionally prioritized data quantity, assuming more is better for AI performance. However, a new reality is setting in: high-quality data, not just volume, is the key. This shift exposes a critical gap – many organizations struggle to understand their existing data and lack effective curation strategies and tools. This talk dives into these data challenges and explores the methods of automating data curation.
Keynote : AI & Future Of Offensive SecurityPriyanka Aash
In the presentation, the focus is on the transformative impact of artificial intelligence (AI) in cybersecurity, particularly in the context of malware generation and adversarial attacks. AI promises to revolutionize the field by enabling scalable solutions to historically challenging problems such as continuous threat simulation, autonomous attack path generation, and the creation of sophisticated attack payloads. The discussions underscore how AI-powered tools like AI-based penetration testing can outpace traditional methods, enhancing security posture by efficiently identifying and mitigating vulnerabilities across complex attack surfaces. The use of AI in red teaming further amplifies these capabilities, allowing organizations to validate security controls effectively against diverse adversarial scenarios. These advancements not only streamline testing processes but also bolster defense strategies, ensuring readiness against evolving cyber threats.
kk vathada _digital transformation frameworks_2024.pdfKIRAN KV
I'm excited to share my latest presentation on digital transformation frameworks from industry leaders like PwC, Cognizant, Gartner, McKinsey, Capgemini, MIT, and DXO. These frameworks are crucial for driving innovation and success in today's digital age. Whether you're a consultant, director, or head of digital transformation, these insights are tailored to help you lead your organization to new heights.
🔍 Featured Frameworks:
PwC's Framework: Grounded in Industry 4.0 with a focus on data and analytics, and digitizing product and service offerings.
Cognizant's Framework: Enhancing customer experience, incorporating new pricing models, and leveraging customer insights.
Gartner's Framework: Emphasizing shared understanding, leadership, and support teams for digital excellence.
McKinsey's 4D Framework: Discover, Design, Deliver, and De-risk to navigate digital change effectively.
Capgemini's Framework: Focus on customer experience, operational excellence, and business model innovation.
MIT’s Framework: Customer experience, operational processes, business models, digital capabilities, and leadership culture.
DXO's Framework: Business model innovation, digital customer experience, and digital organization & process transformation.
Uncharted Together- Navigating AI's New Frontiers in LibrariesBrian Pichman
Journey into the heart of innovation where the collaborative spirit between information professionals, technologists, and researchers illuminates the path forward through AI's uncharted territories. This opening keynote celebrates the unique potential of special libraries to spearhead AI-driven transformations. Join Brian Pichman as we saddle up to ride into the history of Artificial Intelligence, how its evolved over the years, and how its transforming today's frontiers. We will explore a variety of tools and strategies that leverage AI including some new ideas that may enhance cataloging, unlock personalized user experiences, or pioneer new ways to access specialized research. As with any frontier exploration, we will confront shared ethical challenges and explore how joint efforts can not only navigate but also shape AI's impact on equitable access and information integrity in special libraries. For the remainder of the conference, we will equip you with a "digital compass" where you can submit ideas and thoughts of what you've learned in sessions for a final reveal in the closing keynote.
Top 12 AI Technology Trends For 2024.pdfMarrie Morris
Technology has become an irreplaceable component of our daily lives. The role of AI in technology revolutionizes our lives for the betterment of the future. In this article, we will learn about the top 12 AI technology trends for 2024.
"Hands-on development experience using wasm Blazor", Furdak Vladyslav.pptxFwdays
I will share my personal experience of full-time development on wasm Blazor
What difficulties our team faced: life hacks with Blazor app routing, whether it is necessary to write JavaScript, which technology stack and architectural patterns we chose
What conclusions we made and what mistakes we committed
Discovery Series - Zero to Hero - Task Mining Session 1DianaGray10
This session is focused on providing you with an introduction to task mining. We will go over different types of task mining and provide you with a real-world demo on each type of task mining in detail.