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

I7492078919

IJITEE Journal — Sat, 15 Oct 2022 05:38:51 +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 Retrieval #Design and Diagnosis #Game Playing #Streaming Data #Music Modelling and Analysis #Robotics and Control #Multi-Agent Systems #Bioinformatics #Social Sciences #Industrial Financial and Scientific Applications of All Kind #Advanced Computer Networking Computational Intelligence #Data Management, Exploration, and Mining #Robotics #Artificial Intelligence and Machine Learning #Computer Architecture and VLSI #Computer Graphics, Simulation, and Modelling #Digital System and Logic Design #Natural Language Processing and Machine Translation #Parallel and Distributed Algorithms #Pattern Recognition and Analysis #Systems and Software Engineering #Nature Inspired Computing #Signal and Image Processing #Reconfigurable Computing #Cloud, Cluster, Grid and P2P Computing #Biomedical Computing #Advanced Bioinformatics #Green Computing #Mobile Computing #Nano Ubiquitous Computing #Context Awareness and Personalization, Autonomic and Trusted Computing #Cryptography and Applied Mathematics #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 Drawing #On-Line and Streaming Algorithms #Analysis of Algorithms and Computational Complexity #Algorithm Engineering #Web Algorithms #Exact and Parameterized Computation #Algorithmic Game Theory #Computational Biology #Foundations of Communication Networks #Computational Geometry #Discrete Optimization #Software Engineering and Knowledge Engineering #Software Engineering Methodologies #Agent-Based Software Engineering #Artificial Intelligence Approaches to Software Engineering #Component-Based Software Engineering #Embedded and Ubiquitous Software Engineering #Aspect-Based Software Engineering #Empirical Software Engineering #Search-Based Software Engineering #Automated Software Design and Synthesis #Computer-Supported Cooperative Work #Automated Software Specification #Reverse Engineering #Software Engineering Techniques and Production Perspectives #Requirements Engineering #Software Analysis, Design and Modelling #Software Maintenance and Evolution #Software Engineering Tools and Environments #Software Engineering Decision Support #Software Design Patterns #Software Product Lines #Process and Workflow Management #Reflection and Metadata Approaches #Program Understanding and System Maintenance #Software Domain Modelling and Analysis #Software Economics #Multimedia and Hypermedia Software Engineering #Software Engineering Case Study and Experience Reports #Enterprise Software, Middleware, and Tools #Artificial Intelligent Methods, Models, Techniques #Artificial Life and Societies #Swarm Intelligence #Smart Spaces #Autonomic Computing and Agent-Based Systems #Autonomic Computing #Adaptive Systems #Agent Architectures, Ontologies, Languages and Protocols #Multi-Agent Systems #Agent-Based Learning and Knowledge Discovery #Interface Agents #Agent-Based Auctions and Marketplaces #Secure Mobile and Multi-Agent Systems #Mobile Agents #SOA and Service-Oriented Systems #Service-Centric Software Engineering #Service Oriented Requirements Engineering #Service Oriented Architectures #Middleware for Service Based Systems #Service Discovery and Composition #Service Level Agreements (Drafting, Negotiation, Monitoring and Management) #Runtime Service Management #Semantic Web #Data Modelling, Mining and Data Analytics #Aggregation, Integration, and Transformation #Web and Text Mining #Data Mining Methods, Techniques, and Tools #Data Analytics Modelling and Algorithms #Patterns and Frameworks #Data Visualization #Knowledge Systems and Engineering #Knowledge Acquisition #Knowledge-Based and Expert Systems #Knowledge Representation and Retrievals #Knowledge Engineering Tools and Techniques #Time and Knowledge Management Tools #Knowledge Modelling, Integration, Transformation, and Management, #Uncertainty Knowledge Management #Knowledge Visualization #Mobile Computing and Mobile System Engineering #Mobile App Design and Development #Innovative Mobile Applications #Pervasive Computing #Mobile System Validation and Test Automation #Software & System Quality of Service #Soft Computing #Software and System Testing Methods #Quality Assurance Process, Standards, and Systems #Software Safety Systems #Software Test Automation and Tools #Software Dependability, Reliability, Scalability #Software & System Security #Software and System Security and Privacy #Mobile App Security and Privacy #Encryption Methods and Tools #Security Service Systems #Cloud, Sensor Cloud and Mobile Cloud Security #Mobile System Integrity, Security and Fault Tolerance #Emergent Topics #Cloud Computing and Innovative Cloud-Based Application Systems #Mobile Cloud Computing and Application Services #Big Data Analytics Application Systems #Innovative Sensing Cloud and Systems #Large-Scale Cyber Systems #IoT and Smart City Application Systems #Big Data Quality Validation #Big Data Application Quality Services #Smart Learning and Innovative Education Systems #Learning Software Design Engineering #Smart Learning Methods and Environments #Online Learning Systems #Mobile Enabled Learning Systems and Tools #Computer Networks and Inventive Communication Technologies #Addressing & Location Management #Broadband Access Technologies #Adhoc and Sensor Networks #Cross Layer Design and Optimization #Heterogeneous Wireless Networks #High Speed Networks #Internet and Web Applications #Measurement & Performance Analysis #Mobile & Broadband Wireless Internet #Mobile Networks & Wireless LAN #Network Architectures #Network Based Applications #Network Protocols & Wireless Networks #Network Operations & Management #Network Security Trust, & Privacy #Next Generation Internet & Web Architectures #Peer to Peer and Overlay Networks #QOS And Resource Management #Recent Trends & Developments in Computer Networks #Routing, Switching and Addressing Techniques #Self-Organizing Networks and Networked Systems #Ubiquitous Networks #Virtual & Overlay Networks #Wireless Communications #Wireless Mesh Networks and Protocols #Wireless Multimedia Systems #Personal and Wearable Networks #Wireless ad hoc & Sensor Networks #Information-Centric Networking #Embedded Networks #Opportunistic Networking #Delay-Tolerant Networks #Cognitive Radio Networks #Vehicular Networks #Smart Grid Communications #Underwater Sensor Networks #Cyber-Physical Systems #Social Networks #Mobile and Ubiquitous Networking #Green Networking #Overlay and Peer-to-Peer Networks #Local-Area and Metropolitan-Area Networks #Storage-Area Networks #Routing and Transport Protocols #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Internet of Things #Link Technologies #Adaptive Networking Applications #Authentication, Authorization, Accounting #Security and Privacy #Cross-Layer Optimization #Mobility and Location-Dependent Services #Multimedia and Real-Time Communication #Machine-to-Machine Communications for Smart Environments #Smart Cities #Network Traffic Characterization and Measurements #Network Management, Reliability and QoS #Performance Evaluation of Networks #Testbeds for Network Experiments #Network Coding #Optical and High-Speed Access Networks #Resent Engineering and Nano Technology #Advanced Computing Architectures and New Programming Models #Bio-Science and Bio-Technology #Collaborative Applications #Communication Architectures for Pervasive Computing #Computer Vision #Computer Science and Its Applications #Computational Techniques in Civil Engineering #Control and Automation #Concrete Engineering #CAD/CAM/CIM #CAE #Database Theory and Application #Data Base Management System #Data Mining #Decision Making #Digital Signal Processing Theory #Distributed Sensor Networks #Distributed Computing #Mechanical Design #Evolutionary Computing and Intelligent Systems #Expert Approaches #Environmental Engineering #Fuzzy logics #Foundation Engineering #FEA #GPS and Location-Based Applications #Grid Networking/ Computing #GEOTECH Engineering #Highways #Human Computer Interaction (HCI) #Image Analysis and Processing #Information and Data Security #Internet Technologies, Infrastructure, Services & Applications #Nano Technology #Mobile Computing and Applications #Multimedia Communications #Network Modelling and Simulation #Network Performance, Protocols, Sensors #Networking Theory and Technologies #Open Models and Architectures #Pattern Recognition #Perception and Semantic Interpretation #Production #Real-Time Information Systems #Remote Sensing #Security Technology and Information Assurance #Soft Computing #Software Engineering & Its Applications #Signal Control System & Processing #Speech Interface, Speech processing #Structural Engineering #Thermal Engineering #Ubiquitous Multimedia Computing #Vision-Based Applications #VLSI Algorithms #Web Technologies #Textile Engineering #Recent on Mechanical Engineering and Technology #Fluid Mechanics #Applied Mathematics and Mechanics #Biomechanics #Heat Transfer #Solid Mechanics #Refrigeration and Air Conditioning #Renewable Energy Technology #Materials Engineering #Composite Materials #Marine Engineering #Petroleum and Mineral Resources Engineering #Textile Engineering #Industrial Engineering #Operational Research #Manufacturing Processes #Machine Design #Quality Control #Mechanical Maintenance #Tribology #CAD/CAM #Aeronautical Engineering #Production Engineering #Welding Technology #Robotics Engineering #Aerospace Engineering #Metallurgy #Rock Mechanics and Mining Sciences #Solid and Structural Mechanics #Theoretical and Applied Fracture Mechanics #Advance Civil Engineering and Technology #Assemblage and System #Behaviour of Structures #Behaviour of Structures under Seismic Loads #Building and Environmental Acoustics #Building Climate Systems #Building Energy #Civil and Environmental Engineering #Coastal Engineering #Composite Materials #Concrete Structures #Construction Economics #Construction Engineering #Design and Performance of Green Building #Design Optimization of Structures #Earthquake Engineering #Energy Efficient Building Technology #Energy Saving Building Materials #Evaluation of Building Envelope Systems under Structural and Environmental Loads #Evaluation of Glazing Systems for Energy Performance #Fire Engineering #Foundations Dynamics #Geotechnical Engineering #Health Monitoring and Life Prediction of Structures #High Performance Concrete #Hydraulic Engineering #Life Cycle Engineering #Materials and Durability #Materials Engineering #Mechanics and Materials Aspects of Advanced Construction Materials #Municipal or Urban Engineering #Nondestructive Testing and Evaluation #Numerical Modelling of Structures #Optimal Design of Structures #Properties and Mechanics of Concrete #Residential, Commercial, Industrial and Public Works #Seismic Evaluation of Building Nonstructural Components #Simulation Optimization and Risk Management #Soil-Structure Interaction #Structural Engineering #Structural Evaluation of Panelized and Masonry Wall Systems #Structural Reliability Analysis #Surveying #Sustainable Structures #Transportation Engineering #Ventilation and Indoor Air Quality #Water Supply and Drainage #PhD ademic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #ESCI #Science #Journal #Conference #SSRN #PubLons #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Sentence Selection Using Latent Semantic Analysis for Automatic Question Generation in E-Learning System
NG. Deena¹, K. Raja²
¹NG. Deena, Research Scholar, Department of Computer Science & Engineering, Sathyabama Institute of Science and Technology, Chennai, TamilNadu, India
²Dr. K. Raja, Principal, Department of Computer Science and Engineering, Dhaanish Ahmed College of Engineering, Chennai, TamiNadu India
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 86-91| Volume-8 Issue-9, July 2019 | Retrieval Number: I7492078919/19©BEIESP | DOI: 10.35940/ijitee.I7492.078919
Open Access | Ethics and 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: The Current scenario of the educational system is highly utilizing computer-based technology. For the Teaching-Learning process, both the learners and teachers are highly preferred the online system i.e, E-Learning because of its user-friendly approach such as learning at anytime and anywhere. In the Online educational system, the E-Content plays a major role so the critical importance has to be provided in generating the E-Content. Currently, a large number of study materials are dumped into the internet which has reached the highest limit. The enormous amount of content with high volume leads the learner to skim or frustration in learning. Learners have to spend too much of time to understand their concept from the selected web page. The Tutor also faces the challenges in setting the question paper from this high volume of learning content. We have proposed the computer-assisted system to summarize the learning content of the material using Machine Learning techniques. The Latent Semantic Analysis reduces the size of the content without changing their originality. Finally, the singular value decomposition is used to select the important sentences in order to generate the Multiple Choice Questions (MCQ) to assess the knowledge level of the learner.
Keywords: E-Learning, Latent Semantic Analysis, Machine learning, Singular Value Decomposition, Text Summarization.
Scope of the Article: Online Learning Systems

Download PDF

The post I7492078919 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

A4884119119

IJITEE Journal — Thu, 21 Jul 2022 08:45:51 +0000

Hematological Parameters of Boars-Producers at Use of a Natural Mineral Additive in a Diet
A. T. Varakin¹, D. K. Kulik², V. V. Salomatin³, V. S. Zoteev⁴, G. A. Simonov⁵
¹Varakin A. T., Volgograd State Agrarian University, Volgograd, Russia.
²Kulik D. K., All-Russian Research Institute of Irrigated Agriculture, Volgograd, Russia.
³Salomatin V. V., Volgograd State Agrarian University, Volgograd, Russia.
⁴Zoteev V. S., Samara State Agrarian University, Samara, Russia.
⁵Simonov G.A., Vologda science center RAS, North-West Scientific Research Institute of Dairy and Grassland Management, Russia.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 3837-3841 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4884119119/2019©BEIESP | DOI: 10.35940/ijitee.A4884.119119
Open Access | Ethics and 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: The aim of the research was to study the morphological and biochemical indicators of the blood of boars-producers using in the diet of a natural mineral additive-bischofite of the Volgograd field. To conduct scientific and economic experience, four groups of boars-producers of 5 animals each were formed. In the experiment, boars-producers of the control group received the main diet, and I, II and III experimental groups – in addition to the main diet, respectively, 5, 8 and 11 ml per animal per day of natural bischofite. Against the background of scientific and economic experience, studies were carried out to study hematological parameters in experimental boars of comparable groups. The results of the research showed that the hematological parameters in the boars of the producers of the compared groups were within the physiological norm and characterized the normal activity of all organs and systems. Compared with animals of the control group, at the end of the main period, after testing the blood of the boars of the experimental groups, the number of erythrocytes was higher by 2.77-6.77%, hemoglobin – by 0.80-2.95%, and the total protein content in blood serum was higher by 0.87-1.57%, albumin by 2.44-6.50% . The boars of the experimental groups exceeded the albumin-globulin coefficient of the animals of the control group by 2.56-8.97%. The content of inorganic magnesium in the blood serum of the boars-producers of the experimental groups, compared with the control, was 0.14 more; 0.20 and 0.24 mmol / L. According to the results on the productive qualities of boars, the introduction of natural bischofite into the diets contributed to an increase in ejaculate volume by 5.0-7.81%; increased sperm cell concentration in 1 ml of sperm – by 2.79-5.12%, sperm activity – by 2.27-6.82%, in comparison with the control. The use of bischofite in the diet of boars, in comparison with the control, contributed to the economic effect due to the cost of additional sperm production – 14080.0 – 22848.0 rubles. At the same time, the best results in terms of hematological and productive indicators of boars-producers, economic efficiency were achieved when bischofite was included in the diet at a dose of 8 ml per boar per day.
Keywords: boars-producers, diet, bischofite of the Volgograd field, hematological parameters, sperm production quality, economic efficiency.
Scope of the Article: Production

Download PDF

The post A4884119119 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L26821081219

IJITEE Journal — Fri, 08 Jul 2022 11:59:35 +0000

Robust and Accurate Human Tracking Algorithm for Handling Occlusion and Out of Plane Rotation
Anshul Pareek¹, Nidhi Arora²
¹Anshul Pareek*, ECE Deptt, Maharaja Surajmal Institute Of Technology, Delhi India.
¹Dr. Nidhi Arora, CSE Department, G.D. Goenka University, Gurugram, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3768-3773 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26821081219/2019©BEIESP | DOI: 10.35940/ijitee.L2682.1081219
Open Access | Ethics and 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: Robust and accurate human tracking using computer vision is acquiring more and more attention, seeking to meet the demands of the increasing number of applications. This paper presents a novel approach to handle occlusion and out of plane rotation. Both these issues are crucial and continue to be a challenge in all state of art algorithms of computer vision-based human tracking. In this paper a SURF oriented scheme based human tracker is proposed, which searches for the target human in expanded rectangular region surrounding the previous target location. There is an online update of object model by selecting fresh templates every time. Here, superimposition of keypoints obtained from previous templates is done on fresh template using Affine transformation. Whether it’s a pose change or not, is affirmed by affine transformation, by calculating aspect ratio of target enclosed region. An Autotuned classifier discriminates the case of occlusion and pose change and confirms tracking failure. The success rate and computational time proves the accomplishment of the proposed algorithm
Keywords: Human Tracking, SURF, Grab-Cut Algorithm, UKF(Unscented Kalman Filter) and Autotuned Classifier.
Scope of the Article: Classification

Download PDF

The post L26821081219 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

K14020981119

IJITEE Journal — Thu, 16 Jun 2022 12:22:28 +0000

MDE-Oriented Process to Manage Requirement Inconsistencies
Hatime Bencharqui¹, Adil Anwar²
¹Mr. H Bencharqui*, Department of Computer Science and Engineering, Mohammadia Engineering School, Rabat, Morocco.
²Mr. A. Anwar, PHD Teacher, Computer Science at Mohammadia School of Engineering in Rabat.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 302-306 | Volume-8 Issue-12, October 2019. | Retrieval Number: K14020981119/2019©BEIESP | DOI: 10.35940/ijitee.K1402.1081219
Open Access | Ethics and 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: Requirements inconsistencies could arise for multiple reason and at all levels of hierarchy. in context of a complex system detecting inconsistencies among requirements is important and needs a rigorous practice. It is all the more crucial task when they are specified in informal language. Thus, managing inconsistencies is indispensable to success any system design. Constraint specification language ( CSP) formalism is used to define rules to spot conflicted requirements. In this paper, we present a process founded on ReqDL language in order to manage requirements inconsistencies at all level of hierarchy. we describe an approach to support inconsistencies identification and resolution among requirement. I
Keywords: Requirement Engineering, Sysml, DSL, ReqDL , Complex System
Scope of the Article: Requirements Engineering

Download PDF

The post K14020981119 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L39111081219

IJITEE Journal — Thu, 16 Jun 2022 12:07:15 +0000

Optimization of Friction Stir Welding process parameters of Aluminium alloy AA7075-T6 by using Taguchi method
P. Pradeep Kumar¹, Sk Ahmmad Basha², S. Sai Kumar³
¹P.Pradeep Kumar*, Dept. of mechanical Engineering, RGUKT IIIT Nuzvid, Krishna, Andhra Pradesh, India.
²Dr. Sk. Ahammad Basha*, Ph.d Dept. of mechanical Engineering, RGUKT IIIT Nuzvid, Krishna, Andhra Pradesh, India.
³S.Sai Kumar, Dept. of mechanical Engineering, RGUKT IIIT Nuzvid, Krishna (521201), Andhra Pradesh, India.
Manuscript received on September 17, 2019. | Revised Manuscript received on 25 September, 2019. | Manuscript published on October 10, 2019. | PP: 290-297 | Volume-8 Issue-12, October 2019. | Retrieval Number: L39111081219/2019©BEIESP | DOI: 10.35940/ijitee.L3911.1081219
Open Access | Ethics and 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: Taguchi technique has been used to determine the most important control variables that will result in greater mechanical characteristics (tensile strength and hardness) of FSW joints of comparable AA 7075 plates. To optimize process parameters including tool rotatory speed, weld travel velocity on tensile strength and hardness of friction stir welded similar AA 7075 aluminium alloy, Taguchi Design of Experiment (DOE) and optimization method was used. The optimum levels of process parameters were identified by using the Taguchi parametric design concept. The results show that welding speed is more contributing process parameter than the rotation speed in getting optimum mechanical property (UTS and HV). The forecasted optimal values of ultimate tensile strength and hardness of friction stir welded similar AA 7075 is 197 Mpa and 93 HRB respectively. Further tests proved these results.
Keywords: Aluminium alloy, Friction Stir Welding, Taguchi Technique
Scope of the Article: Welding Technology

Download PDF

The post L39111081219 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L25061081219

IJITEE Journal — Thu, 16 Jun 2022 04:00:17 +0000

Customer’s Perception on Building Management Systems in Residential Complexes at Chennai
R.Rengarajan¹, S.Venkatesh²
¹R.Rengarajan, Assistant Professor, PRIST School of Business, PRIST Deemed to be University, Vallam, Thanjavur, Tamil Nadu, India.
²S.Venkatesh, Associate Professor, PRIST School of Business, PRIST Deemed to be University, Vallam, Thanjavur, Tamil Nadu, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 96-104 | Volume-8 Issue-12, October 2019. | Retrieval Number: L25061081219/2019©BEIESP | DOI: 10.35940/ijitee.L2506.1081219
Open Access | Ethics and 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: Customers should aware about the building management system (BMS) and their requirements based on the location of the apartment, type of the apartment and number of floors in the apartment. It is observed from various literature reviews that the customer requirements vary depending on the geographic physiological environment they are present in. Various techniques were followed and the project went up to 16 weeks. Observation of the customer requirements in BMS have been made and key areas to be focused based on location such as 1.Rural residents preferred having fire and alarm system and energy savings 2.Urban residents focused on Monetary, energy and security systems has been identified. Observation was also made based on the apartment type and customer requirements varied if the apartment is an individual standalone apartment or a multiple cluster of apartment. The other factor based on which the customers preference varied is the number of floors in the apartment, where as the floors increases the focus was on security systems, else the focus was on monetary savings. I also provide suggestions like elements to focus on rural apartment, urban apartment and standalone apartment.
Keywords: Perception, Requirements, Savings and Standalone.
Scope of the Article: Requirements Engineering

Download PDF

The post L25061081219 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L24911081219

IJITEE Journal — Wed, 15 Jun 2022 09:23:31 +0000

Development of Software for Measuring the Electrical Characteristics of the Information Storage Micromodule with Increased Radiation Resistance
R.S. Litvinenko¹, V.M. Matveev²
¹R.S. Litvinenko, Science Manufacturing Complex “Technological Centre”, Moscow, Zelenograd, Russia.
²V.M. Matveev, Science Manufacturing Complex “Technological Centre”, Moscow, Zelenograd, Russia.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 52-55 | Volume-8 Issue-12, October 2019. | Retrieval Number: L24911081219/2019©BEIESP | DOI: 10.35940/ijitee.L2491.1081219
Open Access | Ethics and 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: Development of software for automation of electrical characteristics measurement plays an important role, because this approach contributes to a significant time reduction. This article discusses the development and application of software for the study of electrical characteristics of miniature data storage modules developed by 3D integration technology for aerospace applications. In outer space there are a number of problems affecting the functioning of microelectronic equipment, in particular – heavy charged particles (HCP) that can lead to both single failures and latch-up effect, which is critical for memory chips. Therefore, there is a need to check the electrical parameters, such as the response time of protection against HCP. The software is developed in LabVIEW and can be used in manual and automatic modes, what allows to improve the efficiency of the testing process. The full range of measurements can be done by one operator in a short period of time.
Keywords: 3D Integration, Micromodule, latch-up Effect
Scope of the Article: Systems and Software Engineering

Download PDF

The post L24911081219 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L24831081219

IJITEE Journal — Wed, 15 Jun 2022 07:47:03 +0000

Software Defined Cloud Mini Data Centers – An Effort towards Reduction in Latency of Cloud Traffic Delivery
Mohit Mathur¹, Mamta Madan²
¹Mohit Mathur, Assistant Professor, Jagan Institute of Management Studies, Affiliated to Guru Gobind Singh Indraprastha University, India.
²Dr. Mamta Madan, Professor, Vivekananda Institute of Professional Studies, Affiliated to Guru Gobind Singh Indraprastha University, India
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 20-26 | Volume-8 Issue-12, October 2019. | Retrieval Number: L24831081219/2019©BEIESP | DOI: 10.35940/ijitee.L2483.1081219
Open Access | Ethics and 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: In demand to growing traffic of cloud and other web services the vendors are offering several alternatives for timely delivering the traffic. The paper is aims to amass reasons and complexity of delays in regard to end to end delivery of cloud traffic. It further focuses on existing solutions its limitations. The findings of the varying latency suggest that most of the delays are cause due to distance covered by the packet throughout its journey. Hence our solution suggests Software Defined Mini cloud data (SDCmDC) centers distributed throughout the world at different geographical areas instead of having a centralized mega data centers. These mini data centers will be interconnected to each other and carrying data local to their geographical location
Keywords: latency, Software Defined Networking, Cloud Computing, Cloud Traffic, Mini Data center.
Scope of the Article: Cloud Computing

Download PDF

The post L24831081219 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

K16010981119

IJITEE Journal — Wed, 15 Jun 2022 07:15:17 +0000

ECG Signal De-noising based on Adaptive Filters
Keshavamurthy T G¹, M. N. Eshwarappa²
¹Keshavamurthy T G, Assistant Professor, Department of TCE Sri Siddhartha Institute of Technology, Tumkur, Karnataka, India
²Dr. M. N. Eshwarappa, Professor, Department of ECE Sri Siddhartha Institute of Technology, Tumkur, Karnataka, India
Manuscript received on October 13, 2019. | Revised Manuscript received on 23 October, 2019. | Manuscript published on November 10, 2019. | PP: 5473-5483 | Volume-9 Issue-1, November 2019. | Retrieval Number: K16010981119/2019©BEIESP | DOI: 10.35940/ijitee.K1601.119119
Open Access | Ethics and 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: Denoising a signal is one of the most important tasks in signal processing. Electrocardiogram (ECG) test gives more efficient result to analyze the heart diseases. The amplitude and frequency of the ECG signals are added with various noises and that may lead to a wrong analysis of ECG or it is difficult to interpret and quality is degraded. In this paper three different noises are added to raw ECG signal, Power-line Interference noise (PLI), Baseline Wandering (BW) noise and Composite Noise (CN). The noisy signal is pre-processed using bandpass filter, low-frequency ECG signal is selected by applying DWT, CEEMD (Complementary Ensemble Empirical Mode Decomposition), LMS (Least Mean Square) and NLMS (Normalized Least Mean Square) are the different filtering techniques used to denoised. To increase the signal quality, the denoised ECG is applied to Kalman Smoother. Inverse wavelet transforms, which reconstruct signal without destructing features of ECG signal. The simulation result shows that the proposed system with better performance compared to another traditional system in terms of Signal to Noise Ratio (SNR), Correlation Coefficient (CCR), Percentage Root mean square Difference (PRD) and the Mean Square Error (MSE).
Keywords: ECG, CEEMD, LMS, NLMS, DWT, IDWT.
Scope of the Article: Signal and Speech Processing

Download PDF

The post K16010981119 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

A4851119119

IJITEE Journal — Wed, 15 Jun 2022 07:07:53 +0000

Technology of Processing Slags of Copper Production using Local Secondary Technogenic Formations
A.A. Yusupkhodjaev¹, Sh.T. Khojiev², B.T. Berdiyarov³, D.O. Yavkochiva⁴, J.B. Ismailov⁵
¹Yusupkhodjaev A.A.*, Professor of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan.
²Khojiev Sh.T., Senior Teacher and Researcher of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan.
³Berdiyarov B.T., Chairman of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan.
⁴Yavkochiva D.O., Assistant of Tashkent State Technical University Termez branch, Termez, Uzbekistan.
⁵Ismailov J.B., Assistant of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan.
Manuscript received on October 13, 2019. | Revised Manuscript received on 23 October, 2019. | Manuscript published on November 10, 2019. | PP: 5461-5472 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4851119119/2019©BEIESP | DOI: 10.35940/ijitee.A4851.119119
Open Access | Ethics and 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: The article considers the inevitability of copper losses with slag and the possibility of reducing them by various methods and using local secondary technogenic formations. It has been established that the developed and widely used in industry technologies for slag decontamination only partially solve the problem and lead to significant irretrievable losses of metal with dump slag. The main factors affecting the magnitude of the losses are established and suggestions for reducing their negative impact are recommended. The use of perfect mixing devices is recommended, as in this case, it is possible to achieve a maximum reduction in the residual concentration of copper in the waste slag. Together, it is possible to achieve an increase in the complexity of the use of raw materials with the organization and implementation of low-waste technology.
Keywords: Slag, Loss of Metals, Processing, Reduction, Sulfidation of Oxides, Depletion, Ideal Mixing Apparatuses, Low-waste Technology.
Scope of the Article: Bio-Science and Bio-Technology

Download PDF

The post A4851119119 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).