International Journal on Future Revolution in Computer Science & Communication Engineering
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Anti Homomorphism in Fuzzy Subgroups
Get PDFOn the basis of fuzzy sets introduced by L.A. Zadeh, we first gave the definition of fuzzy subgroups and fuzzy normal subgroups. This paper proves a necessary and sufficient condition of fuzzy subgroup (normal subgroup) to be fuzzy subgroup (normal subgroup). We introduced the notion of anti fuzzy subgroups and their related properties. Finally, behaviour of these anti fuzzy subgroups (normal subgroups) under group homomorphism have been discussed. We define a notion of homomorphism and anti homomorphism of multi L-fuzzy subgroup and investigate some of its properties. This paper contains the definition and result of anti L-fuzzy normal subgroup is being given using homomorphism and anti homomorphism
Fuzzy Arithmetic and Extension Principle
Get PDFFuzzy arithmetic is an extensively used instrument for dealing with uncertainty in a computationally competent method, recently and much better in the upcoming years. This thesis aims to investigate the basic properties of fuzzy arithmetic as its title implies. The properties of fuzzy arithmetic definitions, examples are discussed. Here we investigates the properties of fuzzy sets, properties of fuzzy number, performing arithmetic operations on fuzzy number, properties of L-R fuzzy number, performing operations on L-R fuzzy number, properties of fuzzy interval and properties of L-R fuzzy interval. Also, the extension principle and fuzzy arithmetic operations using extension principle are investigated. The fuzzy equation is solved by using the method o
Opinion mining in Machine Learning for High Perfomance using Sentimental Analysis
Get PDFOpinion mining refers to the use of the natural language processing in which it is used for linguistics to identify and extract information .Opinion mining has been an indispensible part of present scenario. Due to large amount of online app development and processing of all data through internet Opinion has become one of the major part in reviewing through online. A various kinds of probabilistic topic modeling technique are available to analyze and extract the idea behind the probability distribution over words. In proposed review system, a review of a particular product that brought in is Amazon, opinion review dataset of a particular product by UPC database and it is pre-processed to give a result by machine learning to get specific opinion word using sentimental analyses. LDA model is applied into the machine learning technique to analyses. It also determine the large amount of time required for determining the opinion of a particular product that is purchased. Experimental evaluation shows that our proposed techniques are efficient and perform better than previously proposed technique, however, the proposed technique can be used by any other languages
Assessment of Work Pedestal on RSA in Text Cryptographic System
Get PDFCryptography is a Greek word, crypto signifies ‘hidden or covered up’ and graphy means ‘study’. The conversion of plain text to cipher text is called as encryption and changing the cipher text to plain text is called as decryption. Cryptographic algorithm further divides in symmetric cryptography and asymmetric cryptography. Symmetric cryptography has only one key for both encryption and decryption, this key is called as secret key or private key. Asymmetric cryptography has two keys, one key is used for encryption this key is called public key and other key is used for decryption this key is called as private key. In this paper, we survey on the customized advance of RSA by using manifold of public keys and prime numbers. This algorithm is providing more secure communication over the network of text files
Offline Signature Verification using CNN
Get PDFThis paper presents the convolutional neural network for feature extraction and Support vector machine for theverification of offline signatures. The cropped signatures are used to train CNN forr extracting features. The Extracted features are classified into two classes genuine or forgery using SVM. The the new signature is tested on GPDS signature data base using the trained SVM. The dabase contains signatures of 960 users and for each user there are 24 genuine signatures and 30 forgeries. The CNN network is trained with 300 users and signatures of 400 users are used for feature learning. These 400x20x25 signatures are used 90%to train and 10% to test SVM classifier
A Literature Survey on the Cryptographic Encryption Algorithms for Secured Data Communication
Get PDFSecurity has become a buzzword over the current years. As per Wikipedia, 55.1% of global population has internet access (June 2018). Hence, it is obvious that huge volume of data is exchanged among the users over the internet. As a result, everybody is worried about data security while transmission of any confidential data. In this proposed paper, several cryptographic algorithms are discussed based on concepts of encryption and decryption. Cryptography algorithms provide the mechanisms necessary to implement accountability, accuracy and confidentiality in secured communication. This is further preceded with the widespread adoption of secure protocols such as secure Internet Protocol and virtual private networks. Efficient cryptographic processing, therefore, will become increasingly vital to good system improvement results. Cryptographic algorithms provide many key building block for network security related services. Cyber attacks (intrusion) were up 44% globally during Q1 2018, and the speed of attacks continues to increase exponentially. 75% of organizations have experienced a breach, but only 25–35% believes they are equipped to deal with these intrusions effectively
A Machine Learning Approach for Desktop and Application Virtualization Design in Cloud Environment
Get PDFIn recent years, virtual desktop and virtual application is the important research topic for virtualization of cloud computing. Virtualization provides many benefits by using virtual machine software, including we can efficiently deploy and manage all of virtual system resources, and it offers the ability of high reliability, high elasticity and customization. In order to share the system and software resources, related basic knowledge show in our paper about the virtualization technology of desktop and application, and we proposed the virtual desktop and application services to offer an efficient and elastic service for cloud platform. A machine learning approach is also applied to manage resource allocation. It implements the VDaaS (Virtual Desktop as a Service) and VAaaS (Virtual Application as a Service) by developing the sharing technology for virtual desktop and virtual application with the cloud platform
Design of a PI Controller for Negative Output 1 & 3 -lift Main Series Switched Capacitor Push Pull Luo Converter
Get PDFClassic converters like DC-DC converters are having the passive components such as switches, diodes, capacitors and inductors that are combined. By this size of the converter will be large and power density will be low. Power density of the converter can be increased by micro power consumption technique. Voltage-lift technique is the best technique to design circuits in electronics. For more power density, compact size and gain switched capacitors can be used and incorporated into the IC having lesser EMI. This work provide the performance evaluation of PI controller for Negative output push-pull switched capacitor DC-DC 1 lift and 3 lift Luo converter and also performance evaluation of chosen converter with PI controller. Mat lab and Simulink based simulation is carried out under line and load disturbances for performance evaluation
Calculation of Response Characteristics of Various Hydrocarbon Gas Sensors
Get PDFTechnologies for detecting leaks of gases and measuring gaseous concentrations have been widely developed with every sensor type. To manufacture excellent gas leak detector, an excellent gas sensors are necessary parts. In this research, the design of a system to simultaneously measure performances of five gas sensors is introduced. That system need the components of measuring appliances, sensing circuits, control firmware, and PC software to be operated. Also the performances to test gas sensors need response characteristics, accuracy, and repeatability according to output signals for injecting gas amounts into gas sensors. The firmware is implemented to operate sensors and to acquire output data against for input of sensors in real time. Acquired data were stored in the text file according to every sensor during a pre-set measurement interval. Software is coded to draw graphs of the voltage values measured by each sensor in real time. Using proposed a testing system we showed how to test response characteristics and induce better calibration equations of five sensors. This paper compared experimental data of five sensors and verified which gas sensor is the best