Lahore Garrison University Research Journal of Computer Science and Information Technology
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Cognitive Experiments and Features for Computing Mental Stress
Get PDFIn this paper, mental stress is computed through cognitive experiments that induce stress. In a controlled laboratory environment, a group of students are involved in a series of mental challenges. While performing the cognitive tasks, stress is induced on the participants. Deep breathing exercise is performed in the start of experiments and then in between each activity to make the conditions normal and a participant feels relaxed. Various physiological features are recorded during experimental activities. Also, cerebral features are recorded that provide improved classification results. The severity of stress is different on each participant but the purpose of experimental protocol is to separate stressful conditions from relaxed environment. Support Vector machine (SVM) is used to identify relax or normal class from a number of stressed classes. It is shown that cerebral features improve the classification accuracy with a satisfactory margin and designed protocol system is able to compute the severity of induced stress
Algorithm and Technique for Animation
Get PDFFluids simulation particularly water courses such as riversare an important element to achieve realistic simulations in real-timeapplications like video games. This work presents a new approach calledSiViFlow that simulates watercourses in real-time. The algorithm isflexible enough to be used in any type of environment and allows a riverto be dynamically generated given any riverbed. The component thatmanages the flow is responsible for the water animation and allows theuse of various techniques to simulate visual features. As all theinformation is dynamically generated, SiViFlow also reacts to dynamicobjects that come in contact with the river, properly adjusting the courseof the flow. This work helps accelerate and improve the methods ofcreating realistic rivers so that they can be used in video games
Infrastructure of DNS/DNSSEC
Get PDFDNS Security Extension is introduced as a solution after the in-depth study of all expected issues regarding security of Domain Name System. Accordingly, DNS is domain name service provider via name server but it fails to facilitate the support for authenticity of data origin and integrity. In addition, DNS satirizing give stage to digital assaults, and can be used to watch client's exercises, for control, for conveyance of pernicious programming and to offend client's PC and even to subvert rightness and accessibility of internet systems and administrations. Therefore, it is fundamental to attract DNS framework to defeat security concerns, and to make cautious arrangement that should adapt to assaults through off way foes. So, we have broken down security of area enlistment centers and name server completely and we deal with vulnerabilities, which should open DNS foundation to store harming. In this paper, we gave the DNSSEC structure and showed how it is secure using DNSSEC
Denoising of 3D magnetic resonance images using non-local PCA and Transform-Domain Filter
Get PDFThe Magnetic Resonance Imaging (MRI) technologyused in clinical diagnosis demands high Peak Signal-to-Noise ratio(PSNR) and improved resolution for accurate analysis and treatmentmonitoring. However, MRI data is often corrupted by random noisewhich degrades the quality of Magnetic Resonance (MR) images.Denoising is a paramount challenge as removing noise causesreduction in the fine details of MRI images. We have developed anovel algorithm which employs Principal Component Analysis(PCA) decomposition and Wiener filtering. We have proposed a twostage approach. In first stage, non-local PCA thresholding is appliedon noisy image and second stage uses Wiener filter over this filteredimage. Our algorithm is implemented using MATLAB andperformance is measured via PSNR. The proposed approach hasalso been compared with related state-of-art methods. Moreover, wepresent both qualitative and quantitative results which prove thatproposed algorithm gives superior denoising performance
DATASET FOR AMERICAN SIGN LANGUAGE
Get PDFFor the deaf and dumb people, sign languages are the only path of communication. With the help of sign languages, physically disabled people can convey their feelings, emotions, and thoughts to other people. Since, for the common person, it is very complicated to understand these languages, these physically disabled persons are dependent on a, who interacts with the world to convey their thoughts and feelings. For the production of these sign languages, it was necessary to develop an efficient dataset. With 26 English alphabetical hand gesture images. Further, segmentation and classification are applied to datasets. This paper provides guidelines for the creation and selection of datasets
AN OVERVIEW ON HUAWEI MANAGEONE SERVICES
Get PDFHuawei ManageOne is a server farm administrative arrangement design for disentangled administration and dexterous operations. It bounds administration of different server and gives integrated end-to-end management solutions for incremented operations and managerial services and overall performance of data centers. ManageOne provides different efficient network services as discussed in this paper
A Non-Parametric Comparison between Advances Software Engineering Process Model
Get PDFSoftware development process provides detailed guideline for development testing and maintenance of software products. It deals with the risks associated withsoftware development and a road map to manage its complexities. In other words, software development processes are considered as optimized solution specific to any particular software product development. There are many software process models available in literature. This research performs a non-parametric comparison between formal process model, agile process model and agent based process model to aid software community in developing quality software product
Identification of Associations between Cognitive Agents Using Learning Based System
Get PDFThe research is to pronounce the socialization with humans after identification of relationships between cognitive agents recognized with the perspective of focus, selective attention, intention and decision making. Machine learning is used to understand environment complexity, dynamic collaboration, noise, features, domain and range on different parameters. Range of view is an interesting approach for relationship identification with respect to time, distance and face direction in a settled boundary that are trying to answer socialized behavior between those multiple agents. In resultant, the system agent finds friend, best friend and stranger relationships between other agents by using top down approach. The application can play a wonderful role for security purposes, gaming, labs, and intelligence agencies etc
A Quantum Optimization Model for Dynamic Resource Allocation in Cloud Computing
Get PDFQuantum Computing and Cloud Computing technologieshave potential capability to change the dynamic of futurecomputing. Similarly, both Complexities, time and Space are the basicconstraints which can determine the efficient cloud service performance.Quantum optimization for the cloud resources in dynamic environmentprovides a way to deal with the present classical cloud computationmodel’s challenges. By combining the fields of quantum computing andcloud computing, will result in evolutionary technology. Virtual resourceallocation is a major challenge facing cloud computing with dynamiccharacteristics, a single aspect for the evaluation of resource allocationstrategy cannot satisfy the real world demands in this case. QuantumOptimization resource allocation mechanism on the cloud computingenvironment based two-way factors, improving user satisfaction and bestuse of resource utilization of cloud computing systems.A dynamic resource allocation mechanism for cloud services, based onnegotiation by keeping the focus on preferences and pricing factor istherefore proposed
CONSTRUCTION OF A NEW FAMILY OF EFFICIENT IMBEDDED POLYNOMIALS WITH DISTINCT COEFFICIENTS
Get PDFWe propose a new family of multi-purpose imbedded polynomials having distinct coefficients. There exist relationships between various coefficients of the members of the family, which considerably reduce the computational cost of development as well as using any number of members of the family in a particular problem. Every member polynomial of degree n going through (n+1) focuses {(xi, yi): i=0,1….......n} can be constructed very easily from another member having degree (n-1). In this paper, it is shown that the family of polynomials M exists and is efficient, reliable and more accurate as compared to other available techniques. The family has been successfully applied to the problem of interpolation in this paper. Therefore, the family M is also called the Malik‘s Imbedded Interpolating Polynomials (M.I.I.P). The family M gives similar results as compared to Lagrange Interpolation as for as accuracy is concerned but they are more efficient. The proposed polynomials are more efficient, more stable and more reliable as compared to other traditional interpolation methods due to remarkable reduction in mathematical operations. Our approach and the design of the method is different of available methods of prototype interpolation Methods. We have considered the drawbacks of other methods and eliminated from our approach. The superiority of the family is established and reported