Volume-10 Issue-1, November 2020 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

A80561110120

IJITEE Journal — Wed, 12 Jan 2022 11:11:45 +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 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Iot Based Smart Home Security System with Face Recognition and Weapon Detection Using Computer Vision
M. Nandhini¹, M. Mohamed Rabik², Kiran Kumar³, Ashish Brahma⁴
¹M. Nandhini, Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
²M.Mohamed Rabik, Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
³Kiran Kumar, Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
⁴Ashish Brahma, Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
Manuscript received on September 21, 2020. | Revised Manuscript received on November 05, 2020. | Manuscript published on November 10, 2021. | PP: 336-344 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.A80561110120| DOI: 10.35940/ijitee.A8056.1110120
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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: Today home automation systems are popular in households. The control of electric fixtures like fans and lights is possible with the help of Internet of Things (IOT). The problem arises due to intrusion of burglars. The security of such systems has been done using computer vision and IOT. Here we aim to enhance this system by use of image processing for object detection. The system uses cameras at the door for face recognition as access control. Also, vibration and door magnet sensors are installed at the entry points to detect when the burglar tries to barge inside. PIR sensors are employed to detect human presence. A vibration sensor is also used to give alert if any shock nearby is detected. The system allows entry only if authorized person like owner or person registered on the database arrives. The person may be identified through valid proof of identity. It sends a message to the owner in case it doesn’t recognize the person within 20 seconds and the owner can monitor the activities via live feed from the camera. All sensor signals are checked and status of the system is updated continuously. In case the burglar tries to break inside, siren is activated and alert messages are redirected to the owner and the police.
Keywords: Home Automation, IOT, Security system, Face recognition, Weapon detection, Vision system, Deep Learning.
Scope of the Article: Deep Learning

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A81861110120

IJITEE Journal — Wed, 12 Jan 2022 11:03:43 +0000

A Surveillance System for Air Pollution Monitoring-Warning
S. Aghalya
S. Agalya, Department of Electronics and Communication Engineering, Anna University, Chennai, (T.N), India.
Manuscript received on September 17, 2020. | Revised Manuscript received on November 01, 2020. | Manuscript published on November 10, 2021. | PP: 333-335 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.A81861110120| DOI: 10.35940/ijitee.A8186.1110120
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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: Air Pollution is growing rapidly and it has become a major concern in every part of the world. It leads to health problems of the entire population. This demands the requirement of Air pollution monitoring system. An IOT based Air pollution monitoring system is developed which monitors air quality and environmental parameters such as Temperature and Humidity over a web server using internet. The concept of IOT helps to access data from any part of the globe. Sensors are used to monitor the harmful gases. The presence of harmful gases above a particular limit can lead to severe health issues and accidents. A threshold is set for pertinent sensors from which we can acknowledge the rise in the gas levels. An email is sent to the respective users when the values exceed the threshold as an alert.
Keywords: Air pollution, IOT sensors, Web server, Internet, humidity and Temperature.
Scope of the Article: IoT

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K78330991120

IJITEE Journal — Wed, 12 Jan 2022 10:58:08 +0000

Cross Language Information Retrieval (CLIR): A Survey of Approaches for Exploring Web Across Languages
Suhas D. Pachpande¹, Parag U. Bhalchandra²
¹Suhas D. Pachpande*, Department of Computer Science, Sant Gadge Baba Amravati University, Amravati (MS), India.
²Parag U. Bhalchandra, School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded (MS), India.
Manuscript received on September 20, 2020. | Revised Manuscript received on November 02, 2020. | Manuscript published on November 10, 2021. | PP: 326-332 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.K78330991120| DOI: 10.35940/ijitee.K7833.1110120
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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 the era of globalization, internet being accessible and affordable has gained huge popularity and is widely being used almost everywhere by Government, private organizations, companies, banks, etc. as well as by individuals. It has empowered its users to contribute to the creation of information on web enabling them to use their native languages which consequently has drastically increased the volume of web-accessible documents available in languages other than English. This exponential growth of information on the internet has also induced several challenges before the information retrieval systems. Most of the present monolingual information retrieval systems can retrieve documents in the language of query only, missing the information in other languages that may be more relevant to the user. The need of information retrieval systems to become multilingual has given rise to the research in Cross Language Information Retrieval (CLIR) which can cross the language barriers and retrieve more relevant results from documents in different languages. This article is a review of motivation, issues, work and challenges related to various CLIR approaches. Starting with the most fundamental approaches of translation, it is attempted to study and present a review of more advanced approaches for enhancing the retrieval results in CLIR proposed by various researchers working in this domain.
Keywords: Cross Language Information Retrieval, Dictionary Based Translation, Corpus-Based Translation, Machine Translation, Lexical ambiguity, Bilingual dictionary, Term matching, Term frequency, Document ranking.
Scope of the Article: Frequency Selective Surface

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L32361081219

IJITEE Journal — Wed, 12 Jan 2022 10:52:23 +0000

Identification of Various Security Issues, Threats and A Novel Service Model in Cloud Computing
Nasreen Sultana Qadri¹, Kusum Yadav², Yogesh Kumar Sharma³
¹Nasreen Sultana Quadri* Research Scholar in the Department of Computer Science in JJTU University, India.
²Dr. Kusum yadav, Associate Professor in the Department of Computer Science in Hail University, Hail, Saudi Arabia,
³Dr. Yogesh kumar Sharma, Associate Professor in the Department of Computer Science in JJTU University, India.
Manuscript received on September 26, 2020. | Revised Manuscript received on November 04, 2020. | Manuscript published on November 10, 2021. | PP: 321-325 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.L32361081219| DOI: 10.35940/ijitee.L3236.1110120
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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: Cloud Computing is a robust, less cost, and an effective platform for providing services. Nowadays, it is applied in various services such as consumer business or Information Technology (IT) carried over the Internet. This cloud computing has some risks of security because, the services which are required for its effective compilation is outsources often by the third party providers. This makes the cloud computing more hard to maintain and monitor the security and privacy of data and also its support. This sudden change in the process of storing data towards the cloud computing technology improved the concerns about different issues in security and also the various threats present in this cloud storage. In the concept of security in cloud storage, various threats and challenges are noted by recent researchers. Hence, an effective framework of providing security is required. The main aim of this paper is to analyze various issues in securing the cloud data threats present in the cloud storage and to propose a novel methodology to secure it. This paper also identifies the most crucial components that can be incorporated in the already existing security measures while designing the storage systems based on cloud. This study also provides us to identify all the available solutions for the challenges of security and privacy in cloud storage.
Keywords: Security, Deployment, Adoption, Data, Threat, Cloud Computing.
Scope of the Article: Cloud Computing

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L78751091220

IJITEE Journal — Wed, 12 Jan 2022 10:44:36 +0000

Experimental and Analytical Study of Grouted Sleeve Splice Under Axial Tensile Load
Abdallh M. Soliman¹, Hatem H. Ibrahim², Hossam A. Hodhod³
¹Abdallh M. Soliman*, lecturer Assistant, October High Institute, OHI, Giza, Egypt.
²Hatem H. Ibrahim, Assistant Professor, Cairo University, Giza, Egypt.
³Hossma A. Hodhod, Professor, Cairo University, Giza, Egypt.
Manuscript received on September 17, 2020. | Revised Manuscript received on November 04, 2020. | Manuscript published on November 10, 2021. | PP: 309-320 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.L78751091220| DOI: 10.35940/ijitee.L7875.1110120
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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: Paper Compared to traditional cast-in-place concrete structures, the precast Concrete structures are usually constructed in a controlled environment , i.e. plants, and then assembled through certain links at the construction site. The concrete precast concrete structures can therefore have better concrete quality and help to reduce labor costs and increase construction speed. Because of these advantages, in recent years the precast concrete structures have received much attention. This research work therefore presents a reasonable procedure for designing a grouted sleeve splice connection using a simple material such as standard pipes with little workmanship which gives the design a good advantage compared to just using selection tables for expensive proprietary similar connection. Such splices’ mechanical behavior is a function of two essential mechanisms: bar-to-grout bond behavior, and sleeve-to-grout bond behavior. To achieve the purpose of this analysis work , three arrangements were manufactured and checked under incremental axial tensile load with an all-out number of 66 grouted splice sleeve specimens. While experimental methods of investigation are extremely useful in obtaining information about the grouted splice sleeve connection behavior, the use of numerical models helps to develop good comprehension of behavior at lower cost. Models of non-linear finite-element analysis for grouted splice sleeve connection were presented in this research. The research utilized the commercial Finite Element modeling software (ANSYS) to study the effects of some parameters that are important in the bond behavior of the grouted splice sleeve connection and compare the analytical results with the experimental results to confirm the analytical model. The average efficiency of the finite element models using ANSYS was 92.5%. Having the finite element model validated, a parametric study was performed using ANSYS to evaluate the effect of the following parameters on the behavior of grouted splice sleeve: bar diameter, embedded length, grout compressive strength, sleeve wall thickness, and sleeve inner diameter.
Keywords: Precast concrete, Connection, Grouted, Splice, Mechanical Splice, Confinement, Bond Behavior, Finite Element, Bar embedment length, Material nonlinearity.
Scope of the Article: Mechanical Design

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A81371110120

IJITEE Journal — Wed, 12 Jan 2022 10:38:47 +0000

Convolutional Neural Network Based Approach to Detect Pedestrians in Real-Time videos
Sandhya N¹, Anirudh Marathe², JS Dawood Ahmed³, Aman Kumar⁴, Harshith R⁵
¹Sandhya N*,Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India.
²Anirudh Marathe, Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India.
³JS Dawood Ahmed, Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India.
⁴Aman Kumar, Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India.
⁵Harshith R., Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India.
Manuscript received on September 22, 2020. | Revised Manuscript received on November 03, 2020. | Manuscript published on November 10, 2021. | PP: 303-308 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.A81371110120| DOI: 10.35940/ijitee.A8137.1110120
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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: Pedestrians in the vehicle way are in peril of being hit, along these lines making extreme damage walkers and vehicle inhabitants. Hence, constant person on foot identification was done through a set of recorded videos and the system detects the persons/pedestrians in the given input videos. In this survey, a continuous plan was proposed dependent on Aggregated Channel Features (ACF) and CPU. The proposed technique doesn’t have to resize the information picture neither the video quality. We also use SVM with HOG and SVM with HAAR to detect the pedestrians. In addition, the Convolutional Neural Networks (CNN) were trained with a set of pedestrian images datasets and later tested on some test-set of pedestrian images. The analyses demonstrated that the proposed technique could be utilized to distinguish people on foot in the video with satisfactory mistake rates and high prediction accuracy. In this manner, it tends to be applied progressively for any real-time streaming of videos and also for prediction of pedestrians in pre-recorded videos.
Keywords: Aggregated Channel Features (ACF), Convolutional Neural Networks (CNN), HAAR, Pedestrians, SVM(Support Vector Machine).
Scope of the Article: Convolutional Neural Network

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L80121091220

IJITEE Journal — Wed, 12 Jan 2022 10:31:24 +0000

Prevention of Patch Wall (PW) Formation of Building Surfaces by Making the PW‟s Effects to Below- Awareness-Level of Concern by Making the PW Innovation of Long-Lasting Nature as Attributive Responsibility of the Building‟s Structural Component
Prasanta Biswas¹, Atanu Paul², Jayanta Kumar Karmakar³, Sohel Sk.⁴, Biltu Mondal⁵, Sujay Banerjee⁶, Nabamita Sen⁷, Binka Mondal⁸
¹Prasanta Biswas*, Assistant Professor, Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India.
²Atanu Paul, Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India.
³Jayanta Kumar Karmakar, Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India.
⁴Sohel Sk., Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India.
⁵Biltu Mondal, Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India.
⁶Sujay Banerjee, Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India.
⁷Nabamita Sen, Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India.
⁸Binka Mondal, Department of Civil Engineering, Global Institute of Management & Technology (G.I.M.T) West Bengal, India.
Manuscript received on September 24, 2020. | Revised Manuscript received on November 05, 2020. | Manuscript published on November 10, 2021. | PP: 281-302 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.L80121091220| DOI: 10.35940/ijitee.L8012.1110120
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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: To make building habitat & related compound a good from all possible dimensions is the best motive of this paper of research interest. From the very stage of exposition to earth‟s ambient atmosphere, building materials start experiencing the sufferance, the sufferance by atmosphere on them. It is significant on the exterior portions (of different members like walls, columns, member joints etc.) of the habitat. It is not a new thing to accommodate new concepts to gather with to know the field to prepare the habitat pollution free & with better submergence of knowledge to make it better by reducing its effected pollutions. This time it is the subject of the effect of residence of water gliding from water tank on the habitat, especially on the wall (external) of the habitat. Gliding down on the wall is frequent common phenomenon in the habitat. It is, in any way of happening, found that the water tank (basements, pipe-fixtures etc.) & its normally positioned vertical habitat walls (adjoining) both expose as the thing exposed by the atmosphere, by illustrating their patch-looking exhibition. The water tank which is meant for the drinking water repository for the habitat never holds this exhibition away from exposition of such. This study is about the determination of impact of such patch-wall on its external environment (ambient) & necessary innovation to reduce & improve the walls under such subjection of expose effect.
Keywords: Building Materials Start Experiencing the Sufferance.
Scope of the Article: Building Climate Systems

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A81961110120

IJITEE Journal — Wed, 12 Jan 2022 10:23:11 +0000

IDFML: A Meta Language for Heterogeneous DSMLs Coordination
Naima Essadi¹, Adil Anwar²
¹Naima Essadi*, Siweb, E3S, EMI, Mohammed V University in Rabat, Rabat, Morocco.
²Adil Anwar, Siweb, E3S, EMI, Mohammed V University in Rabat, Rabat, Morocco.
Manuscript received on September 21, 2020. | Revised Manuscript received on November 06, 2020. | Manuscript published on November 10, 2021. | PP: 272-280 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.A81961110120| DOI: 10.35940/ijitee.A8196.1110120
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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 popularization of both Software Language Engineering (SLE) and Model Driven Engineering (MDE) as well as the increasing complexity of systems induce new implementation practices. Indeed, many teams of experts collaborate to implement a same system. Every team uses her own domain specific modeling language (DSML) to represent her concerns. Consequently, by the end of the modelling phase, we get many heterogeneous models elaborated using different DSMLs. These models need to be composed to get a whole view of systems, to be able to validate and simulate behaviors. However, many recent researches choose to compose modelling languages rather than models themselves, but until now there are no standard or generic techniques for that. Although, MDE and SLE provide tools and concepts for modeling, customizing and processing business concepts as single activities, in contrast they provide little support for coordinating between these activities. In this paper, authors propose an interface-based approach to coordinate DSMLS in order to compose and coordinate their respective models. They began by giving generic guidelines of DSMLs specification and composition aspects. Then, they introduce IDFML a Meta language for defining both DSMLs interfaces and coordination. Actually, the proposed Meta language gives a metamodeling background to coordination which enables to benefit from MDE tools and techniques. They finally demonstrate the applicability of the approach using a Connected Indoor Transport Service System to conclude by summarizing benefits of the proposed Methodology.
Keywords: Domain Specific Language, Abstract Syntax, Concrete Syntax, Coordination, Interface.
Scope of the Article: Concrete Structures

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A81831110120

IJITEE Journal — Wed, 12 Jan 2022 10:19:23 +0000

An Efficient Hybrid Genetic-Grey Wolf Based Neural Network (G2NN) for Breast Cancer Data Classification
A. Gopi Kannanand¹, R. Balasubramanian²
¹A.Gopi Kannan, Research Scholar Department of Computer Science Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli.
²Dr. R. Balasubramanian, Professor, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli.
Manuscript received on September 10, 2020. | Revised Manuscript received on November 03, 2020. | Manuscript published on November 10, 2021. | PP: 268-271 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.A81831110120| DOI: 10.35940/ijitee.A8183.1110120
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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: Machine learning is the one of the famous Artificial Intelligence (AI) technique. Data Mining or Machine Learning techniques are most popular in medical diagnosis, classification, forecasting etc. K-Nearest Neighbor, SVM (Support Vector Machine), DT (Decision Tree),RF (Random Forest),NN (Neural Network) are famous classification algorithms. Neural Network is one of the popular techniques, which is used to refine the verdict of breast cancer. A neural network is otherwise known as Artificial Neural Network(ANN), which is mimicking of biological neurons of human brain. Genetic Algorithm (GA) is emerged bio inspired technique. Selection, Crossover, and Mutation are three operations in Genetic Algorithm. The performance of a genetic algorithm depends on the genetic operators, particularly crossover operator. Grey Wolfoptimization algorithm is inspired from hunting of wolf strategy. Alphas, Beta, Gamma are the three levels of processes. In this paper, a novel hybrid Genetic Grey Wolf based Neural Network is introduced and we named it as G2NN. In the field of medical, we need more accuracy when compared to other field, because it relates to human life. Many researchers found new novel ideas for breast cancer data classification using neural network model. Among many diseases, Breast Cancer is one of the unsafe diseases among women in Indiaand in addition to the whole world. The early detection of cancer helps in curing the disease completely. In many research areas Genetic Algorithm and Grey wolf algorithm are used to train neurons in order to yield good accuracy. In this manuscript, a new Genetic Grey Wolf optimizer based Neural Network is introduced and we compare the proposed work with other techniques like SVM(Support Vector Machine),NN (Neural Network), Genetic based Neural Network, Grey wolf based Neural Network and the experimental results of proposed work produced better result. The proposed algorithm produces 98.9 % of accuracy on UCI Wisconsin breast cancer dataset.
Keywords: Breast Cancer, Classification, Genetic Algorithm, Grey Wolf Optimizer, Neural Network.
Scope of the Article: Classification

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A81771110120

IJITEE Journal — Wed, 12 Jan 2022 09:04:54 +0000

Deep Fuzzy Multi-Object Categorization in Scene
S.Kumaravel¹, S.Veni²
¹S.Kumaravel, Associate Prof. in Computer Science, SRMV College of Arts and Science, Coimbatore, (T.N), India.
²S.Veni, Prof. & HOD, Department of Computer Science, Karpagam Academy of Higher Education, Coimbatore, (T.N), India.
Manuscript received on September 20, 2020. | Revised Manuscript received on November 01, 2020. | Manuscript published on November 10, 2021. | PP: 262-267 | Volume-10 Issue-1, November 2020 | Retrieval Number: 100.1/ijitee.A81771110120| DOI: 10.35940/ijitee.A8177.1110120
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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: Object Categorization is the process of, identifying and labelling the various distinct Classes (Categories), in the given input image. The Deep Fuzzy Multi-Object Categorization (DFMOC) model, combines the learning capability of Convolution Neural Networks (CNN) and the uncertainty-managing ability of Fuzzy system, for carrying out the categorization task. This work starts with Background Elimination process for ensuring the image clarity, followed by Fuzzification and Fuzzy Entropy computation. Simple fuzzy sets are to be framed, by employing Fuzzy C-Means (FCM) algorithm, for fuzzification of the input image. Thresholding Block is incorporated, for determining the clusters . The Fuzzy Entropy Computation (FEC) is done, to minimize the Fuzziness rate of the acquired input and consequently, the layers of CNN are trained in accordance with that. Caltech-101 Dataset is been utilized for analysis. Average Precision Rate of Categorization (APRC), along with other metrics namely Time taken and Error Rate, shows that DFMOC model performs better than other models.
Keywords: Deep Fuzzy Model, Fuzzy Entropy, Object Categorization, Thresholding.
Scope of the Article: Fuzzy Logics

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