Advanced Research Publications: Technology Journals
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Application and Tool for Visualization of Turing Machine for the Three Equal Number Characters - A Review
No full textIn the early 90’s, mathematicians were tiresome to design an operative computation model headed for solving computation difficulties. Amongst these formalisms, the Turing’s invention is acknowledged by means of a model of algorithm or computation. Turing machine set off application in algorithmic statistics philosophy as well as complexity studies. Turing machine will halt when it accepts the string or halt when problem is undecidable. This article provides a review on techniques and algorithms used to resolve the issues in Turing machines. This review article provides a description about the Turing machine which is a very powerful computational machine. Now popularly modern centuries, simulators used for computer abetted intellect have come to be rife on all heights of tutelage. In this article we will take the recursive enumerable language and simulate it in JFLAP tool. The results have shown that the Turing machine recognize how to be reflected and advanced headed for receive any sort of semantic like regular as well as context free language, in addition the results are checked and visualized in JFLA
TTS System for Punjabi using Festival Framework
No full textText to speech Generation is the process of converting the raw text into the speech output. This paper represents the development of Punjabi voice using Festvox tool and the Festival is used as engine to run that developed voice. The statistical parametric method of waveform generation is used. The phoneme is chosen as basic unit for speech synthesis. The corpus for Punjabi language is collected from newspaper and news channels. The recording is done in noise free environmen
Optimized Algorithms Based Iris Recognition System
No full textHuman Being’s eyes are recognized as the most efficient biometric trait. Because of its great accuracy, reliability as well as originality iris recognition is included in numerous fields associated with access control as well as security. For efficient working of the iris recognition system the researchers have to face many challenges in designing an effective system. In this article the author discusses the new way of individual identification depending upon the iris recognition developed by many researchers. It includes various techniques used by them and their effectiveness in iris recognition process
Review of Energy Aware Routing Algorithm in Wireless Sensor Network
No full textMany energy efficient routing protocols have been proposed in sensor networks with different strategies. One of the efficient ways to is to group sensor in the neighbouring into clusters and send aggregate data by a nominated Cluster Head (CH). Though, such design discipline still cannot balance the energy consumption of the entire network. As such, in unfavourable cases, some nodes may be soon exhausted. Consequently, it is difficult to provide effective operation and seamless coverage in such a network. Therefore, designing energy saving routing algorithm is one of the most focused issues. In this review article, we studied energy aware routing algorithm for cluster based WSNs. The algorithm is based on a Brilliant strategy of cluster head (CH) selection, residual energy of the CHs and the intra cluster distance for cluster formation
Modified Clonal Algorithm using Deep Learning
No full textThis article uses the basic frame work of Deep Learning Mechanism (DLM) to build a potential, versatile and robust classifier which can be applied to the diverse fields like bioinformatics, networks, image processing, compression and information retrieval. Detailed studies of various types of DLM and some classes of DLM referred as MADLM (Multiple Attractor DLM), GMADLM (General Multiple Attractor DLM) and FMADLM (Fuzzy Multiple Attractor DLM) were presented with their possible applications. This article concentrates in projecting MACA as a potential classification tool for specific applications in the domain of bioinformatics and network security
A Comprative Analysis of Multitransform Techniques for Enhancement of Multifocus Image Fusion
No full textImage Fusion is procedure of combination of the numerous images into particular image which provides enhanced quality of fused image with high resolution than source images. Image fusion provides a superior significance in defence, military affairs, civilian sector and medical area. So, now these days image resolution and fusion enhancement is very necessary. By using different multi-transform techniques image resolution and image fusion enhancement is possible. This Comparison paper delivers the study of multi-transform techniques DWT+SWT and DWT+LWT.Execution performance of these image fusion multi-transform techniques is evaluated by different parameters like Peak Signal to Noise Ratio, Root mean square error, Entropy, Structural similarity index, spatial frequency and computation time. On the basis of these techniques it is concluded that DWT+LWT is best multi-transform technique as compare to DWT+SWT. In this paper merits and demerits of both techniques are also defined.
Signer Authentication Scheme using Digital Signatures
No full textThe chances of interference and malicious manipulations are more when the data is being transferred and is present on channel therefore some kind of authentication system is must to validate the sender before the original data is being processed. An effective scheme is proposed in this article to detect the tampering and support the image compression. A digital signature corresponding to the image will be transmitted along with the image itself that will be used at receiver to validate the sender. Receiver will regenerate the signature corresponding to the received image and if both the signatures match, it means there is no tampering of data and image comes from the actual signer. It also allows the lossy compression techniques by setting some threshold value for matching of signatures. For example with 10% tolerance if both hash files match up to 90% the image will be considered as authentic
Healthcare Mobile Apps: A Leading Edge in the Digital Healthcare Sector and Education
No full textIn the recent years, the smartphone and tablet technology has evolved rapidly. Similarly, the healthcare sector is constantly developing and many opportunities for digital applications (i.e. ‘mobile apps’) related to the healthcare sector are now emerging. The objective was to ascertain whether registered pharmacists in India believe it appropriate to use mobile apps and digital platforms during the provision of healthcare within the community setting. Further to ethical approval from Arbor Biotech Pvt Ltd, the 15 item questionnaire was distributed to registered pharmacists (n=110) practising within the city of Mumbai, Maharashtra, India. The questions were formatted as multiple choice, Likert scales or the subjective mode (open-ended questions). On questionnaire completion and return, data were analysed using simple frequencies, cross tabulations and nonparametric techniques in the Statistical Package for the Social Sciences (SPSS) (v21). The majority of respondents (77% of 110 participants) were confident when using mobile apps on their technology platform. Mobile apps were found to be useful in facilitating patient consultations (55%) and supporting healthcare education (80%). The main barrier for mobile app use within the workplace was company policy, deemed significant in the case of regional / national chain pharmacies (p<0.001). Pharmacists indicated that the digital mobile apps will have a greater impact in the future. These data indicate that although pharmacists are supportive of mobile apps in healthcare, a number of factors (i.e. risk, company policy and lack of regulation) may prevent their use in modern day pharmacy practise
Artificial Intelligence on Smart City
No full textBrain Computer Interfaces (BCI) is a modern technology which is currently revolutionizing the field of signal processing helped in the evolution of a new world where distance between man and computer had never been so close. Electroencephalography (EEG) which is measurement and recording of electric signals using sensors from brain signals. It can be used for Gaming, virtual reality and robotics upon signal and processingThis article is entirely based on Brain Computer Interfaces with objective of actuating robotic arm with help of device commands derived from EEG
Effective Communication: The ‘Mai-Baap’ of Successful Living
No full textCommunication is the heart and soul for an ideal and successful living. One’s talent to commune can spell the differentiation between success and failure in all aspects of living. From the instant of inception of birth, infants learn the ways to converse, build on an innate ability to speak to their mother via crying. By treading on further steps, throughout life, a person’s development and progress depends on communication of one form or another, either communicating to or receiving communication from others. The accomplishment of an individual at familial levels in the neighborhood and at the job front depends on his ability to communicate. Communication skills are a significant asset to assist any persona on the boulevard to success. And success- a sweet pill is direly required by all of us in our personal lives and careers. We are hungry for victory as we take up a new vista in life or acquire a new position in a group, and communication is the sole key to a successful sustenance. All the highly acclaimed people are widely renowned due to their impeccable ability to communicate well with people. The current research endeavours to get into the grass root level to expound effective communication as the ‘Mai Baap’ of successful living