Properties of Bipolar Fuzzy Hypergraphs

In this article, we apply the concept of bipolar fuzzy sets to hypergraphs and investigate some properties of bipolar fuzzy hypergraphs. We introduce the notion of $A-$ tempered bipolar fuzzy hypergraphs and present some of their properties. We also present application examples of bipolar fuzzy hypergraphs

Computer simulation of the adsorption of chlorinated organics in zeolites.

Computer modelling techniques have been used to study the adsorption of three chlorinated hydrocarbons Dichloromethane, 1,2-Dichloroethane, and Trichloroethene in three different zeolite frameworks MFI, MOR and FAU. Calculations have been performed using both classical methods based on inter-atomic potentials, quantum mechanical Density Functional Theory (DFT) and combined QM/MM embedded methods. The first section of this thesis presents results of DFT calculations on purely siliceous and aluminosilicate gas-phase clusters. The results obtained are compared to experimental data and are found to differ significantly from experimental results. The reasons for this are rationalised and alternative methods suggested. The second section investigates some of these alternative approaches. Results of a Periodic DFT study and cluster calculations using a hybrid functional are presented. The QMPot embedded cluster method is then employed as an alternative to the cluster and periodic DFT approaches. The results of these different approaches are compared and rationalised. The thesis then moves on to describe atomistic simulations of the adsorption and diffusion of the molecules in the framework structures. The third section of this thesis uses the Grand Canonical Monte Carlo method to simulate adsorption isotherms and isosteric heat plots. The simulated data is found to be in good agreement to that in the literature. The final chapter describes results of a Molecular Dynamics simulation which models the diffusion of the molecules in the FAU framework at different temperatures

FedBiometric: Image Features Based Biometric Presentation Attack Detection Using Hybrid CNNs-SVM in Federated Learning

In the past few years, biometric identification systems have become popular for personal, national, and global security. In addition to other biometric modalities, facial and fingerprint recognition have gained popularity due to their uniqueness, stability, convenience, and cost-effectiveness compared to other biometric modalities. However, the evolution of fake biometrics, such as printed materials, 2D or 3D faces, makeup, and cosmetics, has brought new challenges. As a result of these modifications, several facial and fingerprint Presentation Attack Detection methods have been proposed to distinguish between live and spoof faces or fingerprints. Federated learning can play a significant role in this problem due to its distributed learning setting and privacy-preserving advantages. This work proposes a hybrid ResNet50-SVM based federated learning model for facial Presentation Attack Detection utilizing Local Binary Pattern (LBP), or Gabor filter-based extracted image features. For fingerprint Presentation Attack Detection (PAD), this work proposes a hybrid CNN-SVM based federated learning model utilizing Local Binary Pattern (LBP), or Histograms of Oriented Gradient (HOG)-based extracted image features

Context-Aware Personalized Activity Modeling in Concurrent Environment

Activity recognition, having endemic impact on smart homes, faces one of the biggest challenges in learning a personalized activity model completely by using a generic model especially for parallel and interleaved activities. Furthermore, inhabitant’s mistaken object interaction may entail in another spurious activity at smart homes. Identifying and removing such spurious activities is another challenging task. Knowledge driven techniques used for recognizing activity models are static in nature, lack contextual representation and may not comprehend spurious actions for parallel/interleaved activities. In this paper, a novel approach for completing the personalized model specific to each inhabitant at smart homes using generic model (incomplete) is presented that can recognize the sequential, parallel, and interleaved activities dynamically while removing the spurious activities semantically. A comprehensive set of experiments and results based upon number of correct (true positivity) or incorrect (false negativity) recognition of activities assert effectiveness of presented approach within a smart hom

Terrorism or Political Terrorism Vs Tourism: New Evidence from Developing Countries

In the 21st century, tourism emerges as a significant income generating sector as well as weapon for growth and survival for various countries[1]. Tourism is the largest global industry with continuously growing global market which will triple in size by 2020[2]. Besides, numerous natural and human-caused disasters, the threat that accompanies political turmoil, tends to frighten potential tourists more severely. Such uncertainties in an economy can impede the flow of tourism. Terrorism risk tends to intimidate the traveling public more severely—as demonstrated by the realignment of travel flows and cancellation of vacations during periods of heightened terrorist activity. The tourism industry is highly vulnerable to such disturbances—whether social or political (i.e., riots, insurgency, terrorism, crime, political upheaval, war, regional tensions). This study also aims at finding a nexus between Terrorism and tourism based on new evidence from developing nations. Moreover developing nations have been further divided into two panels i.e. Politically Free , and Politically Not Free nations. This classification has been made to see whether political environment also affects terrorism activities in nations or not. Similarly another important aspect of this study is to see whether simply terrorist’s activities or Political terrorism[3] is a hurdle for the development of an economy. For this purpose different variables related to political terror and failures have also been used. Moreover time span for the study is from 1995-2011. Both parametric and non-parametric approaches have been employed. For evaluating the impact of Terrorist activities, data has been taken from World Governance Indicators(WGI), while data for tourism is from World Tourism Organization (UNWTO). Keywords: Tourism, Economic Development, panel Data [1] E. T. Heath, “Globalization of the Tourism Industry: Future Trends and Challenges for South Africa,” South African Journal of Economic and Management Sciences, vol. 4, pp. 542-569, 2001. [2] World Tourism Organization, World Tourism Barometer. [3] E. Neumayer, “The impact of political violence on tourism: Dynamic cross-national estimation,” Journal of Conflict Resolution vol. 48(2), pp. 259-281, 200

Review of Traffic Sign Detection and Recognition Techniques

Text, as one of the most compelling developments of humankind, has assumed a significant job in human life, so distant from antiquated occasions. The rich and exact data epitomized in content is extremely helpful in a wide scope of vision-based applications; along these lines content detection and recognition in regular scenes have turned out to be significant and dynamic research points in PC vision and report investigation. Traffic sign detection and recognition is a field of connected PC vision research worried about the programmed detection and grouping or recognition of traffic signs in scene pictures procured from a moving vehicle. Driving is an assignment dependent on visual data handling. The traffic signs characterize a visual language translated by drivers. Traffic signs convey much data important for effective driving; they portray current traffic circumstance, characterize option to proceed, preclude or grant certain headings. In this paper, talked about different detection and recognition schemes

A Study on Invisible Digital Image and Video Watermarking Techniques

Digital watermarking was introduced as a result of rapid advancement of networked multimedia systems. It had been developed to enforce copyright technologies for cover of copyright possession. This technology is first used for still images however recently they need been developed for different multimedia objects like audio, video etc. Watermarking, that belong to the information hiding field, has seen plenty of research interest. There's a lot of work begin conducted in numerous branches in this field. The image watermarking techniques might divide on the idea of domain like spatial domain or transform domain or on the basis of wavelets. The copyright protection, capacity, security, strength etc are a number of the necessary factors that are taken in account whereas the watermarking system is intended. This paper aims to produce a detailed survey of all watermarking techniques specially focuses on image watermarking types and its applications in today’s world

Decision Making Practices In Universities Of Pakistan

Decision making can be regarded as an outcome of mental processes (cognitive process) leading to the selection of a course of action among several alternatives. Every decision making process produces a final choice. The output can be an action or an opinion. The purpose of this descriptive survey was to explore the Decision making practices in administrative and academic matters in the universities of Pakistan. A sample of nineteen universities was selected by applying stratified random sampling technique.  The respondents, i-e members of university bodies; teachers and administrative officers were selected randomly. Three questionnaires constructed on Likert’s five-point scale were used for data collection. Data was tabulated and analyzed by using the F-ratio and Chi-square. The survey results revealed that overall decision-making practices in the universities were found unsatisfactory and, most of the decisions were made without application of management decision-making techniques