Volume-9 Issue-1S, November 2019 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

A12981191S19

IJITEE Journal — Fri, 15 Sep 2023 11:42:18 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. Challenges of Industry and their Solutions, Communications #Advanced Manufacturing Technologies #Artificial Intelligence #Autonomous Robots #Augmented Reality #Big Data Analytics and Business Intelligence #Cyber Physical Systems (CPS) #Digital Clone or Simulation #Industrial Internet of Things (IIoT) #Manufacturing IoT #Plant Cyber Security #Smart Solutions – Wearable Sensors and Smart Glasses #System Integration #Small Batch Manufacturing #Visual Analytics #Virtual Reality #3D Printing # Internet of Things (IoT) #Internet of Things (IoT) & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Block Chain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Microwaves and Photonics #Microwave filter #Micro Strip antenna #Microwave Link design #Microwave oscillator #Frequency selective surface #Microwave Antenna #Microwave Photonics #Radio over Fibre #Optical Communication, #Optical Oscillator #Optical Link Design #Optical Phase Lock Loop #Optical Devices #Computation Intelligence and Analytics #Soft Computing #Advance Ubiquitous Computing #Parallel Computing #Distributed Computing #Machine Learning #Information Retrieval #Expert Systems #Data Mining #Text Mining #Data Warehousing #Predictive Analysis #Data Management #Big Data Analytics #Big Data Security #Energy Harvesting and Wireless Power Transmission #Energy Harvesting and Transfer for Wireless Sensor Networks #Economics of Energy Harvesting Communications #Waveform Optimization for Wireless Power Transfer #RF Energy Harvesting #Wireless Power Transmission #Microstrip Antenna Design and Application #Wearable Textile Antenna #Luminescence #Rectenna #Advance Concept of Networking and Database #Computer Network #Mobile Adhoc Network #Image Security #Application Artificial Intelligence and Machine Learning in the Field of Network and Database #Data Analytic #High Performance Computing #Pattern Recognition #Machine Learning (ML) and Knowledge Mining (KM) #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Natural Language Processing #Probabilistic Models and Methods #Reasoning and inference #Marketing and Social Sciences #Data Mining #Knowledge Discovery #Web Mining #Information 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#Security, Trust and Privacy #Digital Rights Management #Networked-Driven Multicourse Chips #Internet Computing #Agricultural Informatics and Communication #Community Information Systems #Computational Economics, Digital Photogrammetric #Remote Sensing, GIS and GPS #Disaster Management #e-governance, e-Commerce, e-business, e-Learning #Forest Genomics and Informatics #Healthcare Informatics #Information Ecology and Knowledge Management #Irrigation Informatics #Neuro-Informatics #Open Source: Challenges and opportunities #Web-Based Learning: Innovation and Challenges #Soft computing Signal and Speech Processing #Natural Language Processing #Communications #Microstrip Antenna #Microwave #Radar and Satellite #Smart Antenna #MIMO Antenna #Wireless Communication #RFID Network and Applications #5G Communication #6G Communication #Algorithms and Complexity #Sequential, Parallel and Distributed Algorithms and Data Structures #Approximation and Randomized Algorithms #Graph Algorithms and Graph 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Measuring Quality and Impact of Quality Framework for Consumer Healthcare Websites
Lami Garoma Abaya¹, Selvakumar Subramanian²

¹Lami Garoma Abaya, Department of Computer Science, Ambo University, Ambo, Ethiopia.

²Selvakumar Subramanian, Department of Computer Science and Engineering, GKM College of Engineering & Technology, Chennai (Tamil Nadu), India.

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Website becomes an important tool for organizations to put their product online. Similarly, health care organizations allow to serve their patients online as well as to deliver information. In Ethiopia, healthcare providers have websites even though the usages of the website by end-users are not become familiar due to their interpretation on the standard of the existing website. The objective of this study is to develop a website quality evaluation framework for Ethiopian healthcare organizations which is used as guidelines for developers of healthcare website in Ethiopia. To develop the framework an extensive literature study was done on quality models, design guidelines, accessibility guidelines to identify characteristics, sub-characteristics and quality indicators. The proposed framework (HWebQE) was tested on three Ethiopian healthcare providers’ website as case study using questionnaire prepared from the quality indicators. The results of this study show that the overall qualities of the available Ethiopian healthcare provider’s website are in the moderate quality level.

Keywords: Ethiopian Healthcare Website Evaluation, Health Website Quality Evaluation, Cronbach’s alpha, Webuse.
Scope of the Article: Patterns and Frameworks

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A10981191S19

IJITEE Journal — Fri, 15 Sep 2023 11:33:15 +0000

Congestion Control in Wireless Sensor Network using HEED Protocol
Meena S. Doibale¹, G. D. Kurundkar²

¹Meena S. Doibale, Research Scholar, Department of Computational Sciences, S.R.T.M. University, Nanded (Maharashtra), India.

²Dr. G.D. Kurundkar, Shri Guru Buddhiswami Mahavidyalaya, Purna Jn., Dist. Parbhani (Maharashtra), India.

Abstract: Tens or thousands of sensor nodes are usually deployed in WSN, dispersed in an area with one or more sinks. In addition, several multi-path routing protocols have been proposed to achieve reliability and load balancing. But these protocols limitation is overhead traffic. Thus, congestion is more likely to occur in this situation. HEED (Hybrid, Energy-Efficient, and Distributed) it is a popular distributed clustering protocol in which gives energy and communication costs in a probabilistic manner to elect Cluster Heads (CHs). This paper uses blurred logic and a non-probabilistic approach to CH elections to improve the HEED protocol. To elect CHs, the protocol uses the remaining energy of the node. In contrast, the probabilistic HEED model for the choice of tentative CHs is eliminated by introducing delays for each node, inversely proportional to the residual energy of the node. Provisional CHs are therefore selected on the basis of priority. Here we are performing the comparison of our approach with LEACH (Energy Adaptive Clustering Hierarchy) protocol. Simulation results show that in terms of network lifetime and also cluster formation, our approach performs better than LEACH.

Keywords: Sensor Networks, Clustering, Network Lifetime, Energy Efficiency, LEACH, HEED.
Scope of the Article: Wireless ad hoc & Sensor Networks

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A10961191S19

IJITEE Journal — Fri, 15 Sep 2023 11:24:27 +0000

Wavelets Application in Prediction of Tunnel Defects in Friction Stir Welding of Alloy Joints from Vibroacoustic ANN-Based Model
S. Lakshman Kumar¹, Saranya S.N.², Raj Jawahar. R³

¹S. Lakshman Kumar, Assistant Professor, Department of Mechanical Engineering, SONA College of Technology, Salem (Tamil Nadu), India.

²Saranya S.N., Research Scholar, Department of Process Dynamics and Control, Coimbatore Institute of technology, Coimbatore (Tamil Nadu), India.

³Raj Jawahar. R, Researcher, Department of Mechanical Engineering, Dynamechz Design Solutions, Chennai (Tamil Nadu), India.

Abstract: This paper examines a connection of acoustic emission signal to the core parameters of the friction stir welding process, based on the artificial neural networks (ANNs). AE Instrument NI USB-9234 has obtained acoustic Z and Y emission signals. Wavelet Transform was used as the ANN’s output through numerical and time parameters for discomposed acoustic pollution signals. The ANN inputs include rotation speed and frequency of the device, the machine profile and the tensile strength parameters. A multi-layer neural feed-forward network was selected and trained using the Levenberg Marquardt algorithm for different network architectures. Ultimately, an overview will be provided of the correlation between the estimated and analyzed results. The prototype obtained can be implemented with the aid of acoustical emission signals to design and improve automated system parameters and mechanical properties of the joint.

Keywords: Wavelet Application, Prediction, Tunnel, NI-USB-9234, ANN-Based Model.
Scope of the Article: Welding Technology

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A10951191S19

IJITEE Journal — Fri, 15 Sep 2023 11:17:24 +0000

Research of Data Processing Algorithms from Fiber Optic Sensors
Leonid A. Delov¹, Viktor M. Vikulov², Mikhail Yu. Gavrikov³, Nikolay L. Lvov⁴, Stanislav S. Khabarov⁵

¹Leonid A. Delov, Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.

²Viktor M. Vikulov, Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.

³Mikhail Yu. Gavrikov, Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.

⁴Nikolay L. Lvov, Ph.D., Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.

⁵Stanislav S. Khabarov, Scientific and Innovation Center “Institute for the Development of Research, Development and Technology Transfer”, Moscow.

Abstract: The article considers the phenomenon of splitting the spectrum of the reflected signal from fiber-optic sensors (FOS) based on fiber Bragg gratings (FBG), due to which errors in calculating the strain values in diagnostic systems of the stress-strain state occur. The physical principles of splitting and their influence on the diagnostic system as a whole are considered. Various algorithms are proposed to solve the splitting problem, followed by their comparison. The optimal algorithm for processing the digitized optical spectra of signals from FOS was estimated using a mathematical model using real strain indicators from a bench experiment. FOS deformation data were obtained during an experiment on a bench for bending metal levers and were compared with strain gauges.

Keywords: FBG, Fiber-optic Monitoring System, Diagnostics, Spectrum Splitting, Processing Algorithm.
Scope of the Article: Web Algorithms

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A10941191S19

IJITEE Journal — Fri, 15 Sep 2023 11:10:41 +0000

Examination of Big Dataset using LEOS, JOSE, SVM on MapReduce
Bhagyashree Patle¹, Vijayarajan V²

¹Bhagyashree Patle1, School of Computer Science and Engineering, VIT, Vellore (Tamil Nadu), India.

²Vijayarajan V, School of Computer Science and Engineering, VIT, Vellore (Tamil Nadu), India.

Abstract: Data analytics (DA) is the job of reviewing datasets in order to frame conclusions about the information they have, increasingly using specialized systems and software. As with the emergence of Big Data, data analytics was needed. The problems that we are considering are going to be in a fraud detection application. Where we’ll considering major aspects such application-independent format(XML/JSON) for the clusterization process based on the no label classification algorithm where we will focusing on the clusters to enhance the oversampling process and utilize the merits of parallel computing to speed up our system. We aim to use MapReduce functionality in our application and deploy it on Amazon AWS. Datasets gathered for studies often comprise millions of records and can carry hard-to-detect concealed pitfalls. In this paper, we are working on two datasets. The first one is a medical dataset and the second one is a customer dataset. Big Data Analytics is the suggested solution in this day and age, with growing demands for analyzing huge information sets and performing the required processing on complicated data structures. The problem faced at the moment is mainly, how to store and analyze the large amount of data which is generated from heterogeneous sources like social media and what to use to make data fast accessible as well as in pocket budget. To resolve all problems Map-Reduce framework is useful-by offering an integrated technique towards machine learning, it speeds up processing. In this, we will explore the LEOS algorithm, SVM, MapReduce and JOSE algorithm, their requirements, their benefits, their disadvantages, difficulties, and their corresponding solutions.

Keywords: Big Data Analytics, MapReduce, LEOS, Dataset, AWS, RHEEM studio, Cluster, XML, JSON.
Scope of the Article: Big Data Quality Validation

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A10931191S19

IJITEE Journal — Fri, 15 Sep 2023 10:59:13 +0000

An Examination on Biomass Power as Primary Energy and Generation of Electricity using Biomass
Merin Antony¹, Shanthi², D. Kirubakaran³

¹Merin Antony, Research Scholar, Sarvapalli Radhakrsihnan University, Bhopal (M.P), India.

²Dr. Shanthi, Assistant Professor, Sarvapalli Radhakrsihnan University, Bhopal (M.P), India.

³Dr. D. Kirubakaran, Professor & HOD, Department of EEE, St. Joseph’s Institute of Technology, OMR, Chennai (Tamil Nadu), India.

Abstract: With genuine concern all inclusive and in India on the utilization of petroleum products, it is vital for India to begin utilizing sustainable power sources. India is the seventh biggest nation on the planet traversing 328 million hectares and abundantly presented with sustainable wellsprings of vitality. Among the sustainable power sources, biomass assumes an indispensable part particularly in country regions, as it constitutes the real vitality source to lion’s share of family units in India. Biomass vitality is the usage of natural issue introduce and can be used for different applications. As indicated by the Intergovernmental Panel on Climate Change, biomass represented 10.2% of the world’s aggregate yield of primary energy. The International Energy Agency extends that it will be the quickest developing sustainable power source amongst now and 2030, giving as much as 30% of the power devoured worldwide by 2050. In India, woodland and agricultural biomass is the most as often as possible utilized organic matter because of its prepared accessibility and the development of the producing technique included. India delivers around 450-500 million tons of biomass for each year. Biomass gives 32% of all the essential vitality use in the nation at display.

Keywords: Energy Generation Power Biomass Climate.
Scope of the Article: Economics of Energy Harvesting Communications

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A10921191S19

IJITEE Journal — Fri, 15 Sep 2023 10:51:06 +0000

Methods of using Authoring Tools in the Formation of Media-Creative Competences of Future Lawyers
Pozilova Shakhnoza Khaydaraliyevna¹, Karimov Akramjon Zaynobidinovich²

¹Pozilova Shakhnoza Khaydaraliyevna, Ph.D, Department of Information Technologies on Education, Tashkent State University of Law, Tashkent, Uzbekistan.

²Karimov Akramjon Zaynobidinovich, Associate Professor, Department of “General Sciences”, Tashkent State University of Law, Tashkent, Uzbekistan.

Abstract: The article is devoted to the study of ways of developing media creative competencies of students of the University of Law with helping authoring tools. An example of teaching the training module “Information and Communication Technologies” using authorial tools is shown and the effectiveness of the application of teaching methods in the development of students’ media creativity is proved.

Keywords: Competency-Based Approach, Media Creativity, Authoring Tools, Post-Experimental Survey, Correlation.
Scope of the Article: Encryption Methods and Tools

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A10911191S19

IJITEE Journal — Fri, 15 Sep 2023 10:45:15 +0000

About the Destruction of Grain in the Working Chamber of the Crusher
Аlijanov Djabpar¹, Abdurokhmonov Shavkatjon², Umirov Noshir³, Ganiboeva Ergashkhon⁴, Khudaykulov Rustam⁵, Bozorboyev Abbos⁶

¹Аlijanov Djabpar, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan.

²Abdurokhmonov Shavkatjon, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan.

³Umirov Noshir, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan.

⁴Ganiboeva Ergashkhon, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan.

⁵Khudaykulov Rustam, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan.

⁶Bozorboyev Abbos, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan.

Abstract: The article shows the process of grain destruction in the working chamber, the influence of the inclination angles of the stator and rotor on the quality of grain destruction is determined, in addition, the results of calculating the limiting values and diameters of the crushed material particles are given.

Keywords: Rotor, Stator, Working Chamber, Tilt Angle, Diameter, Radius, Grains.
Scope of the Article: Social Sciences

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A10891191S19

IJITEE Journal — Fri, 15 Sep 2023 10:35:14 +0000

Integration and Visualization of Information into the Database when Compiling Electronic Digital Demographic Maps
Abdurakhmonov Sarvar¹, Allanazarov Olimjon², Mukhtorov Uzbekkhon³, Mirjalalov Nuriddin⁴, Abdurakhmonov Zoirjon⁵

¹Abdurakhmonov Sarvar, Senior Lecturer, Department of Geodesy in Geoinformatics, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Uzbekistan.

²Allanazarov Olimjon, Doctor of Philosophy in Technical Sciences (Doctor of Philosophy), Tashkent State Technical University Named after Islam Karimov, Uzbekistan.

³Mukhtorov Uzbekkhon, Senior Lecturer, Department of Geodesy in Geoinformatics, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Uzbekistan.

⁴Mirjalalov Nuriddin, Trainee Lecturer, Department of Geodesy in Geoinformatics, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Uzbekistan.

⁵Abdurakhmonov Zoirjon, Trainee Lecturer, Department of Geodesy in Geoinformatics, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Uzbekistan.

Abstract: Today, works such as the creation of thematic maps and plans, their processing, the formation of databases, integration and visualization have been considered one of the main objectives of GAT technology. Collection of information in the creation of electronic demographic cards, the formation of database, in accordance with them is carried out on the basis ArcGis, MapInfo, Panorama, GeoDraw, GeoGraph, Atlas Gis, Win Gis , ArchInfo and other programs. Analysis was carried out to improve the accuracy of the data on the maps, as well as in the creation of maps to observe demographic processes and predict demographic processes. This article provides comments on the collection and use of modern methods of creating electronic maps, visualization, integration of spatial data, as well as-to create socio-economic maps.

Keywords: Electronic Map, Visualization, Integration, Statistical Information, Cartographic Product, Multimedia, Demography, Population, Cartographic Source, Plan.
Scope of the Article: Digital Signal Processing Theory

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A10881191S19

IJITEE Journal — Fri, 15 Sep 2023 10:26:46 +0000

Teaching Special Subjects for Students with Disabilities in Preparation for the Profession by Using Innovative Educational Technologies
Olimov Kakhramon Tanzilovich¹, Sayfullaeva Dilafruz Ahmedovna², Khimmataliev Dustnazar Omonovich³, Ashurova Sanobar Yuldashevna⁴, Gaffarov Feruz Hasanovich⁵

¹Olimov Kakhramon Tanzilovich, Doctor of Pedagogical Sciences, Professor, Ministry of Preschool Education of the Republic of Uzbekistan.

²Sayfullaeva Dilafruz Ahmedovna, Ph.D, Doctor of Philosophy in Pedagogical Sciences, Bukhara Engineering and Technology Institute, Uzbekistan.

³Khimmataliev Dustnazar Omonovich, Doctor of Pedagogical Sciences, Professor, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Uzbekistan.

⁴Ashurova Sanobar Yuldashevna, Associate Professor, Candidate of Pedagogical Sciences, Ministry of Preschool Education of the Republic of Uzbekistan.

⁵Gaffarov Feruz Hasanovich, Ph.D, Doctor of Philosophy in Pedagogical Sciences, Ministry of Preschool Education of the Republic of Uzbekistan.

Abstract: This article highlights the opportunities, essence and content of teaching students with disabilities using special technologies such as “Self-government”, “Morphological matrix” and the recently developed five-step process of teaching special disciplines in professional training in specialized colleges.The results of experimental tests and mathematical statistical analysis of the use of these technologies in the teaching of specialized subjects in specialized colleges are presented.It is based on the possibility of achieving high efficiency by organizing the teaching of special disciplines using innovative technologies.

Keywords: Students With Disabilities, Specialized Colleges, Professional Education, Special Disciplines, the Educational Process, Innovative Technologies, Teaching Methods, Individual Approach, Pedagogical Experiment, Quality of Education, Educational Materials.
Scope of the Article: Smart Learning and Innovative Education Systems

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