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A Simple Scheme for Visual Cryptography
Get PDFHere an algorithm is proposed to implement (2, 2) secret sharing problem which reduces the size (resolution) of the generated shares. Instead of considering one pixel at a time to generate the share, two consecutive pixels of the original image are considered row wise. Finally a pixel share having six pixels is generated for the considered two consecutive pixels. Thus we get six pixels instead of eight pixels in the shares corresponding to two pixels in the original image. As a result two pixels (8-6 = 2) in the share are reduced corresponding to two pixels of original image
Web-based Tool for Automatic Assignment Evaluation
Get PDFThe demands for teachers in most educational institutions are continually increasing. Teachers have to teach an increasing number of students every year while simultaneously providing meaningful and constructive feedback and correcting assignments in a minimal amount of time. Consequently, results and assessment of student’s progress can be considerably delayed. We need easy to use technology for grading and assessing test results and communicating information to students. Changes can be brought about to help teachers become more efficient and effective. This paper examines the role of technology and Web-based software in the classroom for evaluating a students’ assignment. The paper has used both primary and secondary sources of data
Emotion Recognition using Fuzzy K-Means from Oriya Speech
Get PDFCommunication will be intelligible when conveyed message is interpreted in right-minded. Unfortunately, the rightminded interpretation of communicated message is possible for human-human communication but it’s laborious for humanmachine communication. It is due to the inherently blending of non-verbal contents such as emotion in vocal communication which leads to difficulty in human-machine interaction. In this research paper we have performed experiment to recognize emotions like anger, sadness, astonish, fear, happiness and neutral using fuzzy K-Means algorithm from Oriya elicited speech collected from 35 Oriya speaking people aged between 22- 58 years belonging to different provinces of Orissa. We have achieved the accuracy of 65.16% in recognizing above six mentioned emotions by incorporating mean pitch, first two formants, jitter, shimmer and energy as feature vectors for this research work. Emotion recognition has many vivid applications in different domains like call centers, spoken tutoring systems, spoken dialogue research, human-robotic interfaces etc
Parallel Image Processing Concepts
Get PDFImage processing is a task of analysing the image and produces a resultant output in linear way. Image processing tasks are widely used in many applications domains, including medical imaging, industrial manufacturing, entertainment and security systems. Often the size of the image is very large, the processing time has to be very small and usually real-time constraints have to be met. The image analysis requires a large amount of memory and cpu performance, to cope this problem image processing task is parallelized. Parallelism of image analysis task becomes a key factor for processing a huge raw image data. Parallelization allows a scalable and flexible resource management and reduces a time for developing image analysis program. This paper presenting, the automatic parallelization of image processing task in a distributed system, in which suitable subtasks for parallel processing are extracted and mapped with the components of distributed system. This paper presents different design issues of parallel image processing in distributed system. Which helps the image analysis tasks that how to post processing the image in parallel. This technique is quite interactive especially when developing parallel program, as this requires little efforts for finding a suitable distribution of program module and data
Performance of HIPERLAN/2 for 16QAM, with ¾ code rate with and without Rapp’s model
No full textHIPERLAN/2 performance analysis via a MATLAB/Simulink simulation is present. This paper shows the results of simulations performed on a MATLAB/Simulink model HIPERLAN/2 system with and without a nonlinear power amplifier for AWGN channel. In the following analysis, an additive white Gaussian (AWGN) transmission channel is assumed since attention is focused on the effects on the nonlinearity. The power amplifier model used here is the Rapp’s Solid State Power Amplifier (SSPA) model. Here we showed that HIPERLAN/2 is much more sensitive to power amplifier nonlinearities. The paper shows that the received constellation points are considerably distorted after passing through the amplifier. The BER plot is more degraded when the transmitted signal passes through the amplifier than the plot when it does not pass through the amplifie
Wireless Sensor Networks for Indoor Environment Monitoring Using LabVIEW
Get PDFWireless sensor networks (WSNs) have gained worldwide attention in recent years, particularly with the rapid progress in Micro-Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. These sensors are small, with limited processing and computing resources, and they are inexpensive compared to traditional sensors. These sensor nodes can sense, measure, and gather information from the environment and, based on some local decision process, they can transmit the sensed data to the user. WSNs are large networks made of a numerous number of sensor nodes with sensing, computation, and wireless communication capabilities. In present work we provide a brief summary of the state-ofthe- art in wireless sensor networks, investigate the feasibility of indoor environment monitoring using crossbow wireless sensor nodes. Here we used nesC programming language and TinyOS operating system for programming Crossbow sensor nodes and LabVIEW GUI is used for displaying different indoor environmental parameters such as temperature, humidity and light acquired from different Wireless sensor nodes. These sensor readings can help building administrators to monitor the physical conditions of the environment in a building for creating optimized energy usage
Dual-failure Survivability for Multi Quality Data using Single p-cycle
Get PDFDual-failure scenarios are a real possibility in today’s optical networks and it is becoming more and more important foe carriers and network operators to consider them when designing their networks. p-Cycle is a recent approach in optical network protection. p-Cycle use preconnected cycles of spare capacity to restore affected working traffic. We propose new method and strategies to support multiple qualities of service classes in a static pcycle based network Design, using the same global set of resources as required to operate a network with only a single failure protected service class. A propose new method to provide dual failures survivability using p-cycle. A p-cycle is set up for each link. When link is failure, the system will on-line select the best route of pcycle to react. In single failure or dual failure, data does not divert randomly in route of p-cycle. Data packets are switched based on priority criteria it means that the higher priority packets go through shortest distance route of pcycle and lowest priority data packets go through longest distance route of p-cycle
Fabrication and Experimental Study on Two-Axis Solar Tracking
Get PDFThis paper presents the design and experimental study of a two axis (azimuth and Polar) automatic control solar tracking system to track solar PV panel according to the direction of beam propagation of solar radiation. The designed tracking system consists of sensor and Microcontroller with built in ADC operated control circuits to drive motor. Two steeper motors are used to move the system panel, keeping the sun’s beam at the center of the sensor. The measured variables are compared with the fixed axis. The results indicate that the energy surplus becomes about (45-56%) with atmospheric influences. In case of seasonal changes of the sun’s position there is no need to change in the hardware and software of the system. . Considering all above aspects of this tracking system it can be concluded that, it is a flexible tracking system with low cost electromechanical set-up, low maintenance requirements and ease on installation and operation
Hybrid Signal Processing and Soft Computing approaches to Power System Frequency Estimation
Get PDFDynamic variation in power system frequency is required to be estimated for implementing the correcting measures. This paper presents power system frequency estimation by using RLS-Adaline and KF-Adaline algorithms. In the proposed hybrid approaches the weights of the Adaline are updated using RLS/KF algorithms. Frequency of power system signal is estimated from final updated weights of the Adaline. The performances of the proposed algorithms are studied through simulations for several critical cases that often arise in a power system. These studies show that the KF-Adaline algorithm is superior over the RLS-Adaline in estimating power system frequency. Studies made on experimental data also support the superiority
A counter measure to Black hole attack on AODVbased Mobile Ad-Hoc Networks
Get PDFSecurity is a major threat and essential requirement for mobile Ad Hoc network. Due to its inherent characteristics, it has many consequent challenges, which needs to be taken care of. In this paper we analyse the black hole attack in MANET using AODV as its routing protocol. Black hole is a type of routing attack where a malicious node impersonates a destination node by sending deceived route reply packet to a source node that initiates a route discovery process. By doing this, the malicious node can deprive the traffic from the source node. We propose a solution that makes a modification in existing AODV routing protoco