Volume VIII, Issue II

Title– PRACTICAL ORIENTED ANALYSIS ON THE SIGNAL PROCESSING USING FFT ALGORITHM

Author– Prof. K. Phani Srinivas and Dr. P. S. Aithal

Abstract

The idea of the research is mainly to understand the application of DFT, windowing, zero padding, use the thereafter knowledge to calculate spectrum of the whole .wav file from which the fundamental frequencies and corresponding harmonics are grouped together. The spectrum of the whole file is calculated using “FFT”. From these frequencies one can find out the note played in music. Discrete Fourier Transform (DFT) is one of the specific forms of Fourier analysis. The DFT requires an input function that is discrete and whose non-zero values have a finite duration. In particular, the DFT is widely employed in signal processing and related fields to analyze the frequencies contained in a sampled signal, to solve partial differential equations, and to perform other operations such as convolutions. The DFT can be computed efficiently in practice using Fast Fourier Transform (FFT) algorithms.

Index Term– FFT, DFT, WAV file, Signal Processing.

DOI- 10.30696/IJEEA.VIII.II.2020. 01-10

Reference to this paper should be made as follows:  Prof. K. Phani Srinivas and Dr. P. S. Aithal. ‘PRACTICAL ORIENTED ANALYSIS ON THE SIGNAL PROCESSING USING FFT ALGORITHM, International Journal of Electronics Engineering and Applications, Volume 8, Issue II, July-Dec. 2020, pp 01-10.

Title– HEURISTIC-BASED USABILITY EVALUATION ON MOBILE APPLICATION FOR READING DISABILITY

Author– Onintra Poobrasert, Sirilak Luxsameevanich, Sarinya Chompoobutr, Natcha Satsutthi, Sakda Phaykrew and Paweena Meekanon

Abstract

Most of the learning disabilities (LD) children have writing and reading disorders as a major problem. The calculating disorder is the second problem. Therefore, it should focus on reading and writing teaching to help these LD children because they are important skills in learning. If the children cannot read or write, it will obstruct their learning. Nowadays, everybody can learn by himself because of technological advances and modernity. We can access all knowledge via computer, smartphone or any technological devices. Hence, if the children who cannot read or write, they cannot access the information, news or any knowledge as the others do. However, if the LD children were appropriately helped, they will be able to learn faster. Therefore, in this study we intend to develop the assistive technology for students with learning disabilities; focusing on their reading and spelling. The heuristic evaluation results showed that the application is suitable for the students with learning disabilities and able to help them in their reading vocabularies. Finally, the use of new technology such as QR code technique will also gain attention from small students.

Index Term– Assistive Technology, Learning Disabilities, Dyslexia, Reading, QR Code.

DOI- 10.30696/IJEEA.VIII.II.2020. 11-21.

Reference to this paper should be made as follows:  Onintra Poobrasert, Sirilak Luxsameevanich, Sarinya Chompoobutr, Natcha Satsutthi, Sakda Phaykrew and Paweena Meekanon. “HEURISTIC-BASED USABILITY EVALUATION ON MOBILE APPLICATION FOR READING DISABILITY “, International Journal of Electronics Engineering and Applications, 8, Issue II, July- Dec. 2020, pp 11-21.

Title– VARIATION OF CAPACITIVE REACTANCE OF COUPLED MICROSTRIP LINE STRUCTURE WITH WIDTH OF THE SIMILAR METAL STRIPS

Author– Rajeev Ranjan Kumar and S. P. Singh

Abstract

In the age of digital and analog electronics electrons play a significant role in the growth of various technologies being used in the vast development of nation as well as whole world. Electrons play a dual character of particle as well as waves or radiations. Due to particle characters electrons constitute currents that flow through high quality conductors and superconductor as well. Also these electrons when accelerated to a high energy produce electromagnetic radiations of wide range of frequencies from radio to giga hertz range. With the advent of microwave integrated circuits the large scale components have been reduced to miniaturized size components such as strip line and micro striplines and their variants. Their weight and cost have been largely reduced. Such components are known as planar transmission structures having significant properties such as low attenuation, easily replaceable with increased reliabilities. In the present work we have to study the capacitive reactance of a coupled micro stripline structure which requires the primary study of characteristic impedance and phase velocity. The capacitive reactance is the function of permittivity, height of the dielectric materials, and width of metal strips along with the thickness of metal strip. Present study is focused on the variation of capacitive reactance with the width of similar metal strips.

Index Term– Capacitive reactance, Strip width, Permittivity, Phase velocity & Characteristic impedance.

DOI- 10.30696/IJEEA.VIII.II.2020.22.28

Reference to this paper should be made as follows:  Rajeev Ranjan Kumar and S. P. Singh, (2020), “VARIATION OF CAPACITIVE REACTANCE OF COUPLED MICROSTRIP LINE STRUCTURE WITH WIDTH OF THE SIMILAR METAL STRIPS” Int. J. of Electronics Engineering and Applications, Vol. 8, No. 2, pp. 22-28.

Title– CLOUD SECURITY RESEARCH- A COMPREHENSIVE SURVEY

Author– Sunita Swain and Rajesh Kumar Tiwari

Abstract

Cloud computing is a new computing paradigm that delivers computing resources as a set of reliable and scalable internet-based services allowing customers to remotely run and manage the services. It is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g. networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud Computing is an abstraction based on the idea of pooling physical resources and presenting them as virtual resources. It is indeed a novel model for provisioning resources, staging applications, and platform independent consumer access to services. The major concern of the use of Cloud servicesis security because many attackers constantly try to take advantage of vulnerabilities in mobile networks to access data stored in the remote cloud servers. Certifying the security of cloud computing is a major task in the cloud computing environment. This paper summarizes a number of peer-reviewed articles on security threats in cloud computing and the preventive methods. The objective of our research is to understand the cloud components, security issues, and risks, along with emerging solutions that may potentially mitigate the vulnerabilities in the cloud.

Index Term– Cloud Computing, Cloud Security, Security Threats, Virtualization, Service Level
Agreement, Cloud Provider, Cloud Carrier.

DOI- 10.30696/IJEEA.VIII.II.2020.29.39

Reference to this paper should be made as follows:  Sunita Swain and Rajesh Kumar Tiwari, (2020), “Cloud Security Research- A Comprehensive Survey” Int. J. of Electronics Engineering and Applications, Vol. 8, No. 2, pp. 29-39.

Title– SECURITY ON IOT: A REVIEW

Author– Ritesh Kumar Thakur and Rajesh Kumar Tiwari

Abstract

Now a days, we see that the Things are connected with internet by using Internet of Things (IoT) and became very useful in different area like Health, Homes, Agriculture, Transporting and so on. The internet of things (IoT) refers to the interconnection via the internet of computing devices embedded in everyday object enabling them to send and receive data. Security and Privacy are the key issue for the IoT application and still face some huge challenges. The data collected from the lot sensors contain the large amount of private information which needs to be preserved.

Index Term– Internet of things; security; privacy; confidentiality; challenges; sensor; Availability; Authentication; Heterogeneity; Key Management.

DOI- 10.30696/IJEEA.VIII.II.2020.40.48.

Reference to this paper should be made as follows:  Ritesh Kumar Thakur, Rajesh Kumar Tiwari (2020), ‘SECURITY ON IOT: A REVIEW”, Int. J. of Electronics Engineering and Applications, Vol. 8, No.2, July-Dec 2020, pp-40-48.

Title– AI BASED REMOTE EXPERT SYSTEM FOR GUIDING THE USERS ON MACHINE ACTIVITIES

Author– Vivek Kumar Varma Nadimpalli, Gopichand Agnihotram, Pandurang Naik

Abstract

Creating a remote expert system that will assist the user in repair or maintenance works of any manufacturer machine. The paper proposes a method where the user will able to collect the device images data or the video stream of device data in real-time and remote expert who will able to guide the user to perform a repair or maintenance task on the device. The object detection intelli-gence will be added on both the user side and expert side, which will be leveraged by the expert to guide the user. As an applica-tion, the paper describes different models trained on annotated data of dialysis device and based on accuracy metric the model will be chosen and ported into the mobile device and AR devices. With the help of machine data sent by the user the expert will guide the repair steps of the machine remotely and user will per-form each step at machine side using object detection of different parts of machine.

Index Term– Object Detection, Augmentation, Real time Streaming, MobileNet, TensorFlow Object Detection, TensorFlow Lite, ARCore, ARKit, Single Shot Detection, MobileNet, Res-Net50, Expert system. YOLO Model, MobileNet FPN.

DOI- 10.30696/IJEEA.VIII.II.2020. 49-62.

Reference to this paper should be made as follows:  Vivek Kumar Varma Nadimpalli, Gopichand Agnihotram, Pandurang Naik. ‘AI BASED REMOTE EXPERT SYSTEM FOR GUIDING THE USERS ON MACHINE ACTIVITIES, Int. J. of Electronics Engineering and Applications, 8, Issue II, July-Dec 2020, pp 49-62.

Title– PATTERN ANALYSIS AND KNOWLEDGE DISCOVERY ALGORITHMS-DIFFERENT PERSPECTIVES

Author– Dr. B. Lavanya and Ms. P. Devipriya

Abstract

In recent years many approaches to discovering unexpected and useful patterns from massive datasets are always being the most important problem in data mining. Over the past years, many researchers develop different frequent pattern mining algorithm. Many of the early pattern mining algorithm [5] to discover the frequent relevant pattern and subsequence’s from the given sequences. At the same time, several studies have been done on effective algorithms for mining frequent sequential patterns which satisfies the user-specified constraint. Sequential Pattern Mining (SPM) is widely used data mining technique for discovering sequential patterns with a host of application domains including medicine, shopping sequences, sales record analysis, stock market data, the symptoms of a patient, DNA sequences telecommunications, and the WWW, etc. This survey paper aim is to analyze different existing algorithms to develop a new effective pattern discovery algorithm to discover knowledge from the dataset. Frequent patterns and frequent sequential pattern mining algorithms like Apriori, FP-growth, and GSP, SPIRIT a family of novel algorithms have studied The survey of these algorithms are collected from different perspectives of research. A detailed survey of these entire algorithms is presented in this paper. This paper studies and analysis and presents a comparison of different algorithms various types, methods, and data mining techniques for Frequent pattern mining.

Index Term– Pattern discovery, Frequent pattern mining, Constraint, MapReduce, Parallel.

DOI- 10.30696/IJEEA.VIII.II.2020. 63-68.

Reference to this paper should be made as follows:  Dr. B. Lavanya and Ms. P. Devipriya (2020), “Pattern Analysis and Knowledge Discovery Algorithms – Different Perspectives” Int. J. Electronics Engineering and Applications, Vol. 8, No. 2, pp. 63-68.