Volume-9 Issue-2, December 2019 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

L28271081219

IJITEE Journal — Fri, 27 May 2022 09:16:35 +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. 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Development of a Computer Application for the Calculation of Water Quality Index in Morocco
Kanga Idé Soumaila¹, Naimi Mustapha², Chikhaoui Mohamed³, Ada Aya Laouali⁴
¹Kanga Idé Soumaila, Soil and Water Conservation Laboratory, Department of Natural Resources and Environment, Hassan II Institute of Agronomy & Veterinary Medicine, Madinat Al Irfane, Rabat, Morocco.
²Naimi Mustapha, Soil and Water Conservation Laboratory, Department of Natural Resources and Environment, Hassan II Institute of Agronomy & Veterinary Medicine, Madinat Al Irfane, Rabat, Morocco.
³Chikhaoui Mohamed, Soil and Water Conservation Laboratory, Department of Natural Resources and Environment, Hassan II Institute of Agronomy & Veterinary Medicine, Madinat Al Irfane, Rabat, Morocco.
⁴Ada Aya Laouali, Global Navigation Satellite System Laboratory, Hassan II Institute of Agronomy & Veterinary Medicine, Madinat Al Irfane, Rabat, Morocco.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 2358-2362 | Volume-9 Issue-1, November 2019. | Retrieval Number: L28271081219/2019©BEIESP | DOI: 10.35940/ijitee.L2827.119119
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© 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: Water quality indices are generally a combination of biological, chemical, physical parameters to form a numerical composite index that can be easily interpreted and shared. Their efficiency and usefulness in managing and monitoring water quality have been appreciated by management organizations around the world. The integration of these tools into computer applications can be a major asset. The main purpose of this article is to present a computer application that integrates a water quality index developed in Morocco to facilitate its use and avoid manual errors related to users. The application entirely developed in python language under PyCharm (Integrated Development Environment) is executable on a computer and is presented as a GUI (Graphical User Interface) containing two sub-interfaces to calculate the surface and groundwater quality index according to the type of water analyzed.
Keywords: Computer Application, Water Quality Index, Water Quality Parameters, Development, Morocco.
Scope of the Article: Computer Science and Its Applications

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A4111119119

IJITEE Journal — Wed, 18 May 2022 06:48:50 +0000

The Innovative Trends in Architecture and Urban Planning of Health Care Institutions
Irina Bulakh¹, Margaryta Didichenko², Olena Kozakova³
¹.Irina Bulakh, PhD of Architecture, Associate Professor, Department of Design Architectural Environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
²Margaryta Didichenko, MA Architecture, Assistant, Department of Design Architectural Environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
³Olena Kozakova, PhD of Architecture, Associate Professor, Department of information technologies in architecture, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
Manuscript received on October 16, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 317-323 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4111119119/2019©BEIESP| DOI: 10.35940/ijitee.A4111.119119
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© 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 depicts and systematizes innovative global trends in the field of architecture and urban planning of healthcare institutions taking as the example leading countries in the field of healthcare (Hong Kong, Singapore, and the United Arab Emirates). The territorial, administrative and demographic features that significantly affect the formation and functioning of the architecture and urban planning network of medical institutions are analyzed. The features, indicators, and structure of the public and private sectors of the medical organization of the listed countries are examined in detail. The main innovative trends in the architecture and urban planning of the healthcare network that put the considered countries on the top of the world leaders in the efficiency of healthcare organization rapidly are identified. The trends are considered in urban planning, architecture, medical, economic, environmental, technological and innovative aspects.
Keywords: Innovations, Trends, Design of Medical Institutions, Hospitals, Architecture, Urban Planning.
Scope of the Article: Healthcare Informatics

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A4107119119

IJITEE Journal — Wed, 18 May 2022 06:40:02 +0000

Present State-of-The-ART of Dynamic Association Rule Mining Algorithms
N.Satyavathi¹, B.Rama², A.Nagaraju³
¹N.Satyavathi*, CSE Department, Vaagdevi college of Engineering, Warangal, India.
²Dr.B.Rama, Computer Science, Kakatiya University, Warangal, India.
³Dr.A.Nagaraju, Computer Science, School of Mathematics, Statistics and Computational Science, Central University of Rajasthan, Ajmer, India.
Manuscript received on October 14, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 309-316 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4107119119/2019©BEIESP | DOI: 10.35940/ijitee.A4107.119119
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© 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: Association Rule Mining (ARM) is a data mining approach for discovering rules that reveal latent associations among persisted entity sets. ARM has many significant applications in the real world such as finding interesting incidents, analyzing stock market data and discovering hidden relationships in healthcare data to mention few. Many algorithms that are efficient to mine association rules are found in the existing literature, apriori-based and Pattern-Growth. Comprehensive understanding of them helps data mining community and its stakeholders to make expert decisions. Dynamic update of association rules that have been discovered already is very challenging due to the fact that the changes are arbitrary and heterogeneous in the kind of operations. When new instances are added to existing dataset that has been subjected to ARM, only those instances are to be used in order to go for incremental mining of rules instead of considering the whole dataset again. Recently some algorithms were developed by researchers especially to achieve incremental ARM. They are broadly grouped into Apriori-based and Pattern-Growth. This paper provides review of Apriori-based and Pattern-Growth techniques that support incremental ARM.
Keywords: Data Mining, Incremental Association Rule Mining, Apriori-based, Pattern-Growth ARM algorithms.
Scope of the Article: Data Mining

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A4007119119

IJITEE Journal — Wed, 18 May 2022 05:15:23 +0000

A Structural Equation Modeling on Analysis of Preference Advertisement in Building Brand Equity
Diksha Panwar¹, Monika Bangari², Sandeep Kumar Thakur³
¹Dr. Diksha Panwar*, Assistant Professor, UIM, Uttaranchal University, Dehradun, India.
²Dr. Monika Bangari, Assistant Professor, Tulas Institute, Dehradun, India.
³Dr. Sandeep Kumar Thakur, Assistant Professor, Law College Dehradun, Uttaranchal University, Dehradun, India.
Manuscript received on October 14, 2019. | Revised Manuscript received on 25 October, 2019. | Manuscript published on November 10, 2019. | PP: 247-252 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4007119119/2019©BEIESP | DOI: 10.35940/ijitee.A4007.119119
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© 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: Preference advertisement is a promotional system in which marketer claims the superiority of their product or brand over competing product(s) or brand, directly or indirectly. Preference advertisement helps in comparing alternative brands on bases of features, price, and other distinctive information. Brand equity is the total worth of the brand. Brand equity can be measured in two different perspective i.e. cognitive psychology is the attribute perception that is related to the awareness regarding the brand features and associations whereas another information economics is associated towards strong brand name which is created through the quality of the product and good quality generates a premium prices for the brand. In the monetary terms it’s the value that the organization expects from the brand. Preference advertisement can either be transferred directly to the brand. The objective of this study is to analyze the impact of preference advertisement in building the brand equity. Therefore to achieve the objective, different analysis tools used in the study are: mean, confirmatory factor analysis and structural equation modeling technique. The finding shows that preference advertisement has a significantly positive impact on building the brand equity.
Keywords: Preference Advertisement, Brand Equity, Sponsored Brand, Alternative Brand.
Scope of the Article: Building Energy

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A3927119119

IJITEE Journal — Tue, 17 May 2022 11:28:52 +0000

Wireless Sensor Networks of PEGASIS-Based Communication Protocol Classification in Environmental Monitoring
AK. ArunKumar¹, J.Karthikeyan²
¹K. ArunKumar*, Scholar in school of Information Technology in VIT University Vellore , Tamil Nadu, India.
²J.Karthikeyan, Assistant professor in School of Information Technology and Engineering in VIT University, Vellore , Tamil Nadu, India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 93-97 | Volume-9 Issue-1, November 2019. | Retrieval Number: A3927119119/2019©BEIESP | DOI: 10.35940/ijitee.A3927.119119
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© 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: A comparative research includes a protocol comparison based on certain parameters of performance. It allows researchers to gain insight into the different appropriate parameters with the protocols which ultimately lead to further advancement in the field. In the wireless sensor networks sector, improvements are taking place day after day. PEGASIS is a bond-oriented protocol for WSN routing. Some significant protocols based on PEGASIS architecture are studied in this document; PEGASIS, EEPB, IEEPB, PDCH, PEG-Ant, PEGASIS-PBCA, PEGASIS-IBCA, MH-PEGASIS, Multi-bond PEGASIS and Modified-PEGASIS are explored and comparison is made based on parameters that are essential to consider when selecting methodology for a specific implementation of WSNs.
Keywords: PEGASIS, Networks of Wireless sensors, TOKEN, Chain formation, Node of the Leader, data Transmission.
Scope of the Article: IoT

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A3924119119

IJITEE Journal — Tue, 17 May 2022 11:08:46 +0000

Fpga Implementation of Active Neighborhood Pattern Sensitive Fault Testing Using Tiling Method
K L V Ramana Kumari¹, M Asha Rani², N Balaji³, B Niharika Goud⁴,
¹K L V Ramana Kumari*, Asst Professor, Department of ECE, VNR VJIET, Hyderabad, India.
²Dr M Asha Rani, Professor, Department of ECE, JNTUH, Hyderabad, India.
³Dr N Balaji, Professor, Department of ECE, JNTUK, Hyderabad, India.
⁴B Niharika Goud, Pursuing Masters in VLSI System Design, Department of ECE, VNRVJIET, Hyderabad, India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 81-86 | Volume-9 Issue-1, November 2019. | Retrieval Number: A3924119119/2019©BEIESP | DOI: 10.35940/ijitee.A3924.119119
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© 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: Test structure for Active Neighborhood Pattern Sensitive Fault (ANPSF) in memories with high switching speed is modeled in this paper. Algorithm for ANPSF testing is developed using type-1 neighborhood approach. The type-1 neighborhood, also known as tiling method has one victim and four aggressor cells. It is used to identify the ANPSF effect on base cell by the switching of patterns in the corresponding deleted neighborhood cells. The required test pattern can be generated using a Binary counter, Hamiltonian or Gray pattern generator where the two successive values differ in only one binary digit. The BIST architecture allows to incorporate the hardware required by the user to select the victim and corresponding aggressor cells to test the complete memory. It helps in application of test pattern for the memory circuit under test on user’s choice. The main objective of this model is to develop the architecture for tiling methodology with test pattern generator to detect the transitions in aggressor cells with edge detection technique. The proposed work enables to verify the response of victim cell which may cause a change in value resulting in an active neighborhood pattern sensitive fault scenario. The complete ANPSF model architecture for memory testing is developed using Verilog hardware descriptive language. The process of simulation and synthesis report is validated using Xilinx 14.2 and implemented on Nexys 4 DDR Artix 7 FPGA board.
Keywords: Active Neighborhood Pattern Sensitive Fault (ANPSF), Tiling method, Type-1 neighborhood, Binary counter, Hamiltonian, Gray pattern generator, Xilinx ISE 14.2, Nexys 4 DDR Artix 7 FPGA.
Scope of the Article: Pattern Recognition

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A3916119119

IJITEE Journal — Tue, 17 May 2022 10:28:52 +0000

Design And Development Of A Modular Computer Numerical Control (CNC) Machine Manipulator For Automation
A. Johan Ihsan Mahmood¹, Muhamad Safwan Hilmi², Pranesh Krishnan³
¹Johan Ihsan Mahmood*, Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, Kulim, Kedah, Malaysia.
²Muhamad Safwan Hilmi, Student, Bachelor of Engineering Technology in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute. Kulim Hi-Tech Park, Kulim, Kedah, Malaysia.
³Pranesh Krishnan, Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, Kulim, Kedah.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 58-62 | Volume-9 Issue-1, November 2019. | Retrieval Number: A3916119119/2019©BEIESP | DOI: 10.35940/ijitee.A3916.119119
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© 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 small and medium enterprise industry the usage of automation machine is not entirely applied in this sector. This is because of the initial cost to setup automation machine is higher than employed a worker to do the task. The main problem by using human workforce is worker need to do the repetitive task every single day. Human incline to start boring also the productivity of the worker is decreasing. By producing this portable Mini CNC Machine, the problem can be solved. This machine is going through the design development process from data comparison to product fabrication. The detailed design development process ensures that the final result of the machine is achieving the objective to reduce and eliminate repetitive task perform by human resources. The machine control by the new concept of the controller with an open-source controller that makes the machine more flexible and easier to handle. The machine is tested the machining tolerance to ensure the machine provides high accuracy result. Although, the machine still limited to perform the heavy-duty process, this machine can help small and medium enterprise industry increasing productivity by eliminating and reducing human error. Keywords: Arduino, portable mini CNC machine.
Keywords: Arduino, Portable Mini CNC Machine.
Scope of the Article: Machine/ Deep Learning with IoT & IoE

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A3909119119

IJITEE Journal — Tue, 17 May 2022 09:54:47 +0000

Performance in Binary Characteristics of Sisal Fibre Reinforced Concrete
AV. M. Sounthararajan¹, S. Sivasankar², S. Dhinakaran³, Nabajyoti Modak⁴, R. Gopalakrishnan⁵
¹Dr VM Sounthararajan*, Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad, Telangana, India.
²Dr S. Sivasankar, Associate Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad, Telangana, India.
³Mr. S. Dhinakaran, Assistant Professor, Department of Civil Engineering, Anand Institute of Higher Technology, Chennai, Tamil Nadu, India.
⁴Mr. Nabajyoti Modak, Assistant Professor, Department of Civil Engineering, Anand Institute of Higher Technology, Chennai, Tamil Nadu, India.
⁵Dr R. Gopalakrishnan, Professor, Department of Civil Engineering, SRM Easwari Engineering College, , Chennai, Tamil Nadu, India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 44-47 | Volume-9 Issue-1, November 2019. | Retrieval Number: A3909119119/2019©BEIESP | DOI: 10.35940/ijitee.A3909.119119
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© 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: This research study has experimentally performed on the compressive strength, split tensile flexural strength and durability test method also emphasized in various mixes of high-performance concrete. The maximum compressive strength of concrete was noted for different curing days, while the addition of fly ash 20% with 15% of slag along with1% of sisal fiber reinforced concrete than compared to Plain Portland cement content up to 100%. Further, increasing the cementitious binder content there is a drastic fall in strength gain was observed than that of other mixes. On the contrary, the best mix was identified that’s 10% fly ash along with 15% of slag produced the highest compressive strength, split tensile strength and flexural strength for different days of cured the concrete specimens. Also, the durability test performed as prescribed in ATMC 1202, based on the lab test results, it is concluded that the electrical charge passed over all the concrete specimen at 28 and 56 days presents the lesser values 1000 (coulombs) this is the evidently proved that the high resistance towards the corrosions and drastically reduced the chloride ions permeability except for plain cement concrete.
Keywords: Compressive Strength, Fly ash, Flexural strength, Rapid chloride Permeability Test, Slag, Split Tensile Strength, Quarry dust,
Scope of the Article: Concrete Engineering

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A3902119119

IJITEE Journal — Tue, 17 May 2022 09:42:33 +0000

Development of DTMF Centred Remotely Located Fire Extinguishing Robot
P. Surya Chandra¹, V. Revathi², A. Sireesha³, N. Suresh Kumar⁴
¹P.Surya Chandra, GITAM Institute of Technology, GITAM (Deemed to be University), Visakhapatnam, India
²V. Revathi, GITAM Institute of Technology, GITAM (Deemed to be University), Hyderabad, India
³A. Sireesha, GITAM Institute of Technology, GITAM (Deemed to be University), Visakhapatnam, India
⁴N. Suresh Kumar, GITAM Institute of Technology, GITAM (Deemed to be University), Visakhapatnam, India
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 39-43 | Volume-9 Issue-1, November 2019. | Retrieval Number: A3902119119/2019©BEIESP | DOI: 10.35940/ijitee.A3902.119119
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© 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 hazardous situation such as conflagration makes the humans’ life most inconvenient and risky. It is an unavoidable situation and it is very difficult for humans to face such situations. But mechanical devices can handle such situations without Human intervention. Sometimes it is also difficult to reach fire place at remote location. A robot can easily handle such situations and can efficiently work in hazardous units. The robot can easily reach the places where man cannot reach. In the present paper a fire extinguisher robot is developed to detect fire and the robot smidgens water on flames. The robot is operated and controlled with mobile phone. Dual Tone Multi Frequency tones are produced to control the movement of the robot. In the present work an Arduino UNO microcontroller is interfaced with fire sensors and generates sequence of steps to control robot movements, direction, and pumping of water. The robot movement and other operations are controlled from remote location.
Keywords: Arduino, fire extinguisher, flame sensor, IoT, DTMF
Scope of the Article: IoT

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B9004129219

IJITEE Journal — Tue, 17 May 2022 07:37:48 +0000

An Efficient Software Error Prediction and Recommend System
B. Venkateswarlu¹, K. Murali Manohar², K. Gopichand³, V. Sandeep Reddy⁴
¹B. Venkateswarlu, Asst. Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, vaddeswaram, Guntur Dt, Andhra Pradesh, India.
²K. Murali Manohar, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, vaddeswaram, Guntur Dt, Andhra Pradesh, India.
³K. Gopichand, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, vaddeswaram, Guntur Dt, Andhra Pradesh, India.
⁴V. Sandeep Reddy, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, vaddeswaram, Guntur Dt, Andhra Pradesh, India.
Manuscript received on November 13, 2019. | Revised Manuscript received on 22 November, 2019. | Manuscript published on December 10, 2019. | PP: 5300-5303 | Volume-9 Issue-2, December 2019. | Retrieval Number: B9004129219/2019©BEIESP | DOI: 10.35940/ijitee.B9004.129219
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© 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: This present paper proposes the while its beginning, and past years software testing has been involved. Modern technology in software is using Artificial Intelligent and machine learning for advancing the technology. According to software engineering various techniques are analysed depending on the required predictions. Here in order to give the importance for the development of software defect prediction technique helps foe testers to focus on modules that defect prone. Depending on the development aspect the literature survey states various techniques based on features that are mostly captured for the prediction of defects. So in this paper we give a novel machine learning technique which is the foremost objective for finding prospective areas defects by considering various parameters like system testing metrics and unique parameters called ‘Component Dependency Score’. By applying element determination method we can reduce the words present in defect information and also there will be an expansion in precision so that both systems can build the additional qualities like precision and reducing defect reports or words. Depending on this new technique we can reduce the defect information sets for getting 71.8 percent exactness for reducing the request. The present issue reducing information to defect and increase the information set of defect in two viewpoints such as all the while diminish the sizes of defect extent and the word extent and to enhance the precision of defect triage. So we propose a mix way for dealing with of attention of issuing for reducing information. This is viewed as an example for purpose of choice highlighting in defecting store house. So we construct a parallel categoriser for expecting the request in determination of applying example and highlighting choices. Here the request for applying occurrence in highlighting the choices is not yet related to the research space.
Keywords: Defect, Recommendation
Scope of the Article: Systems and Software Engineering

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