Volume-10 Issue-7, May 2021 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

G90540510721

IJITEE Journal — Thu, 06 Jan 2022 09:32:23 +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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Grammatical Fireworks Algorithm Method for Breast Lesion Segmentation in DCE-MR Images
Dipak Kumar Patra¹, Sukumar Mondal², Prakash Mukherjee³
¹D. K. Patra*, Research Centre of Natural and Applied Sciences, Department of Computer Science, Raja Narendralal Khan Women’s College, Midnapore (West Bengal), India.
²S. Mondal, Department of Mathematics, Raja Narendralal Khan Women’s College, Paschim Medinipur (West Bengal), India.
³P. Mukherjee, Department of Mathematics, Hijli College Kharagpur (West Bengal), India.
Manuscript received on May 22, 2021. | Revised Manuscript received on May 26, 2021. | Manuscript published on May 30, 2021. | PP: 170-182 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G90540510721| DOI: 10.35940/ijitee.G9054.0510721
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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: For cancer detection and tissue characterization, DCE-MRI segmentation and lesion detection is a critical image analysis task. To segment breast MR images for lesion detection, a hard-clustering technique with Grammatical Fireworks algorithm (GFWA) is proposed in this paper. GFWA is a Swarm Programming (SP) system for automatically generating computer programs in any language. GFWA is used to create the cluster core for clustering the breast MR images in this article. The presence of noise and intensity inhomogeneities in MR images complicates the segmentation process. As a result, the MR images are denoised at the start, and strength inhomogeneities are corrected in the preprocessing stage. The proposed GFWA-based clustering technique is used to segment the preprocessed MR images. Finally, from the segmented images, the lesions are removed. The proposed approach is tested on 5 patients’ 25 DCE-MRI slices. The proposed method’s experimental findings are compared to those of the Grammatical Swarm (GS)-based clustering technique and the K-means algorithm. The proposed method outperforms other approaches in terms of both quantitative and qualitative results.
Keywords: Breast Cancer, DCE-MRI, Clustering, Warm Programming, Grammatical Fireworks Algorithm.

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G90580510721

IJITEE Journal — Thu, 06 Jan 2022 09:23:47 +0000

Implementation of Industry 4.0 Revolution through Skill Development– A Blessing for Local for Vocal in Covid-19 Pandemic
Amlan Das
Mr. Amlan Das*, B. Tech, Department of Civil Engineering and MBA, XIM University, Bhubaneswar (Odisha), India.
Manuscript received on May 22, 2021. | Revised Manuscript received on May 26, 2021. | Manuscript published on May 30, 2021. | PP: 158-169 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G90580510721| DOI: 10.35940/ijitee.G9058.0510721
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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: We are amidst a noteworthy change with respect to the manner in which we make items, because of the digitization of assembling. This change is convincing to the point that it is being called Industry 4.0 to speak to the fourth insurgency that has happened in assembling. Industry 4.0 is flagging an adjustment in the conventional assembling scene. Otherwise called the Fourth Industrial Revolution, Industry 4.0 envelops three mechanical patterns driving this change: network, insight and adaptable robotization. Industry 4.0 portrays the developing pattern towards computerization and information trade in innovation and cycles inside the assembling business, including: The Internet of Things (IoT), The Industrial Internet of Things (IIoT), Cyber-physical Systems (CPS), Smart Manufacturing, Smart Factories, Cloud Computing, Additive Manufacturing, Big Data, Robotics, Cognitive Computing, Artificial Intelligence and Block chain and so forth. This mechanization makes an assembling framework whereby the machines in manufacturing plants are increased with remote network and sensors to screen and picture a whole creation cycle and settle on independent choices. In this paper we are worry about how aptitude and ability of human asset can be grown with the goal that we can conquer this pandemic circumstance effectively. Delicate abilities for taking care of these forthcoming new innovation inserted framework must be taken consideration and carefully instilled by human asset with the goal that simple smooth of efficiency just as hole crossing over of flexibly and request can be conceivable. Skill development should be considered as prioritizing factor for this.
Keywords: Industry 4.0, Cloud computing, Cognitive computing, Cyber physical system, flexible automation, skill development.

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G90520510721

IJITEE Journal — Thu, 06 Jan 2022 09:17:55 +0000

An IoT Based Model to Defend Covid-19 Outbreak
Deepa Sonal¹, Dina Nath Pandit², Md. Alimul Haque³
¹Deepa Sonal*, Department of Computer Science, Patna Women’s College, India.
²Dina Nath Pandit, Department of Zoology, VKS University, Arrah, India.
³Md. Alimul Haque, Department of Computer Science, VKS University, Arrah, India.
Manuscript received on May 21, 2021. | Revised Manuscript received on May 27, 2021. | Manuscript published on May 30, 2021. | PP: 152-157 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G90520510721| DOI: 10.35940/ijitee.G9052.0510721
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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: Covid-19 is a pandemic that has swept the globe since the end of 2019. Scientists are working around the clock to create a vaccine to combat the Coronavirus. People are now monitored using smart-phone and web-based software. The Internet of Things (IoT) refers to items that have sensors embedded in them. To check the spread of Covid-19, the IoT can be used. Social Distancing breaks the chain of spreading. It has an effect not only on healthcare spending but also on the speed at which infected patients recover. IoT can be used efficiently for maintaining social distance. As a result, the current research aims to define, analyze and highlight the inclusive applications of the IoT philosophy by providing a perspective roadmap to combat the COVID-19 pandemic by maintaining social distancing. Reviewing the literature, a real-time detecting and alerting method for the COVID-19 condition monitoring is proposed.
Keywords: Internet of Things, Monitoring, Alerting, COVID-19 outbreak, Social Distancing.

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G90420510721

IJITEE Journal — Thu, 06 Jan 2022 09:11:51 +0000

Fake Review Prediction and Review Analysis
Manasi Bansode¹, Siddhi Pardeshi², Suyasha Ovhal³, Pranali Shinde⁴, Anandkumar Birajdar⁵
¹Manasi Bansode*, Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India.
²Siddhi Pardeshi, Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India.
³Suyasha Ovhal, Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India.
⁴Pranali Shinde, Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India.
⁵Anandkumar Birajdar, Professor, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India.
Manuscript received on May 21, 2021. | Revised Manuscript received on May 28, 2021. | Manuscript published on May 30, 2021. | PP: 143-151 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G90420510721| DOI: 10.35940/ijitee.G9042.0510721
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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: Online reviews can be deceptive or manipulative evaluations of services and products which are often carried out deliberately for manipulation strategy to mislead the readers. Identifying such reviews is an important but challenging problem. There are even some associations in the merchandise industry who are hiring professionals to write fake reviews so that they can promote their products or defame rivals products. Hence we aim to develop a method which will detect fake reviews and remove them. The proposed method classifies users’ reviews into suspicious, fake, positive and negative categories by phase-wise processing. In this paper, we are processing hotel reviews by using different data mining techniques. Moreover the reviews obtained from users are being classified into positive or negative which can be used by a consumer to select a product. Organizations providing services can monitor customer sentiments by scrutinizing and understanding what the customers are thinking about products through reviews. This can help buyers to purchase valuable products and spend their money on quality products. Also in our model end users see star ratings based on reviews for each hotel.
Keywords: Current Feedback Amplifier, Current-mode, Voltage Mode, Multifunction, Inverse Filter, Admittances.

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G90230510721

IJITEE Journal — Thu, 06 Jan 2022 09:03:01 +0000

An Assessment of Hydropower Potential for Electrical Energy Harvesting in Water Distribution Network in Buea-Cameroon
F. Ajamah¹, P. Tsafack², E. Tanyi³, A. Cheukem⁴, B. Ducharne⁵
¹Ferdinand Ajamah*, Pursuing, PhD, Department of Electrical & Electronic Engineering, Faculty of Engineering and Technology, University of Buea Republic of Cameroon.
²Dr. Pierre Tsafack, Ph D, Department of Electrical & Electronic Engineering, Faculty of Engineering and Technology, University of Buea-Republic of Cameroon.
³Emmanuel Tanyi, Professor and Dean, Faculty of Engineering and Technology of the University of Buea, in Cameroon.
⁴Andre Cheukem, Associate professor, Power System, University of Dschang, Cameroon.
⁵Benjamin Ducharne, Graduated, University of Claude Bernard Lyon.
Manuscript received on May 19, 2021. | Revised Manuscript received on May 27, 2021. | Manuscript published on May 30, 2021. | PP: 131-142 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G90230510721| DOI: 10.35940/ijitee.G9023.0510721
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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: Significant amount of energy is consumed in water supply systems resulting in reduced sustainability of these systems. Measures to reduce their energy demand are strongly needed. In this study, an estimation of the intrinsic hydro energy potential of the water supply system of a Cameroon municipality was made in order to propose an energy-potential map useful to identify the most interesting sites where excess energy in the network can be harvested to improve the energy efficiency of the network. A geodatabase to store network data was developed using Geographic Information Systems. The shapefiles resource data were explored and the hydraulic simulator EPANET software was used to create a model. Calculations were performed to determine the energy recovery values at different locations in the network. The resulting digital map presented 18 candidate sites which show a total annual energy potential of 635 MWh, realizable at capacity factor and efficiency of 41 % and 65 % respectively. This potential can offset the energy footprint of the network by about 34 % while 127 tons of carbon-dioxide emission reductions are achieved. The results of this investigation highlight that development of renewable energy resource on water supply network infrastructure is an innovative technology that can contribute significantly to improve the energy efficiency, economic and environmental sustainability of the water supply system.
Keywords: Water supply system, Hydro Energy Potential, Energy potential map, Carbon dioxide, Energy efficiency, Sustainability.

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G90410510721

IJITEE Journal — Thu, 06 Jan 2022 08:55:26 +0000

Estimation of Glucose Levels in Blood Sample using A Biosensor
G Manmadha Rao¹, Gade Chaitanya Prasad², K. Pavani³, S Lakshaman Rao⁴, B Prasanna Kumar⁵
¹G Manmadha Rao, Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India.
²Gade Chaitanya Prasad*, Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India.
³K. Pavani, Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India.
⁴S Lakshaman Rao, Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India.
⁵B Prasanna Kumar, Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India.
Manuscript received on May 21, 2021. | Revised Manuscript received on May 27, 2021. | Manuscript published on May 30, 2021. | PP: 127-130 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G90410510721| DOI: 10.35940/ijitee.G9041.0510721
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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 paper discusses about estimation of glucose concentration in blood using a Triple pole Complementary split ring resonator (TP-CSRR) antenna. Glucose concentration in blood is the direct indicator of Diabetes disease. The designed microstrip antenna operates in range of 2-5 Ghz and has a resonance frequency of 3.35 Ghz when simulated. When the antenna is excited, blood acts as dielectric load to it. Hence the glucose concentration of blood affects the resonant frequency and amplitude at resonant frequency of the s21 parameter of the antenna. Using this information, we can estimate the glucose concentration of blood sample. Debye model was used to model the blood. It is effective in detecting glucose concentration of Type-2 diabetes (70-120 mg/dL). The amplitude sensitivity is 0.58 dB(mg/ml) and frequency sensitivity is 583 Mhz/(mg/ml).
Keywords: Complementary Spilt Ring Resonator, Debye Model, Permittivity, Hyperglycemia.

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G90380510721

IJITEE Journal — Thu, 06 Jan 2022 08:51:03 +0000

Autonomous Indoor Navigation for Mobile Robots
Karthik Valliappan C¹, Vikram R²
¹Karthik Valliappan C*, Robotics and automation Department, PSG College of technology, Coimbatore, India.
²Vikram R, Robotics and automation Department, PSG College of technology, Coimbatore, India.
Manuscript received on May 21, 2021. | Revised Manuscript received on May 26, 2021. | Manuscript published on May 30, 2021. | PP: 122-126 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G90380510721| DOI: 10.35940/ijitee.G9038.0510721
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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: An autonomous navigation system for a robot is key for it to be self-reliant in any given environment. Precise navigation and localization of robots will minimize the need for guided work areas specifically designed for the utilization of robots. The existing solution for autonomous navigation is very expensive restricting its implementation to satisfy a wide variety of applications for robots. This project aims to develop a low-cost methodology for complete autonomous navigation and localization of the robot. For localization, the robot is equipped with an image sensor that captures reference points in its field of view. When the robot moves, the change in robot position is estimated by calculating the shift in the location of the initially captured reference point. Using the onboard proximity sensors, the robot generates a map of all the accessible areas in its domain which is then used for generating a path to the desired location. The robot uses the generated path to navigate while simultaneously avoiding any obstacles in its path to arrive at the desired location.
Keywords: Autonomous, Self-Reliant, Localization, Expensive, Image Sensor, Simultaneously.

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G90340510721

IJITEE Journal — Thu, 06 Jan 2022 08:47:25 +0000

Securing Communication in the IoT- Based Power Constrained Devices in Health Care System
Sandhya Sarma. K. N¹, Hemraj Shobharam Lamkuche², E.Chandra Blessie³
¹Sandhya Sarma K N*, Department of Computer Science, Bharathiar University, Coimbatore, India.
²Dr. Hemraj Shobharam Lamkuche, Department of Computer Science, Symbiosis Centre for Information Technology, Pune, India.
³Dr. E Chandra Blessie, Department of Computing(AIML), Coimbatore Institute of Technology, Coimbatore, India.
Manuscript received on May 20, 2021. | Revised Manuscript received on May 26, 2021. | Manuscript published on May 30, 2021. | PP: 115-121 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G90340510721| DOI: 10.35940/ijitee.G9034.0510721
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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: One of the most appealing IoT application areas is medical care and health care. This promising technology is reshaping current health-care service that comply with treatment and mediation at home. The core part of IoT constitutes sensors and various devices for diagnosis and imaging. Now-a-days sensors are becoming smaller, allowing them to be worn without interfering with daily activities.. To make sensors wearable and wireless, it should be small in dimensions and also the energy, memory, and processing power available also matters. Health services dependent on the Internet of Things are supposed to minimise cost, enhance the user’s experience and improve their quality of life. IoT has many hurdles in its implementation, security is the most important. This paper throws light on the different methods of securing the medical sensitive data through the network.
Keywords: Internet of Things, Cloud Computing, Healthcare cloud, Security, Sensors.

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G90120510721

IJITEE Journal — Thu, 06 Jan 2022 08:42:08 +0000

Agriculture Crop Leaf Disease Detection using Image Processing
T.Venkatesh¹, K.Prathyush², S.Deepak³, U.V.S.A.M.Preetham⁴¹T.Venkatesh, Presently studying BTech (3rd year), Electronics and Communication Engineering (Spec in IoT & Sensors) in Vellore Institute of Technology, Vellore (Tamil Nadu), India.
²K.Prathyush, Presently studying BTech (3rd year), Electronics and Communication Engineering (Spec in IoT & Sensors) in Vellore Institute of Technology, Vellore (Tamil Nadu), India.
³S.Deepak*, Presently studying BTech (3rd year), Electronics and Communication Engineering (Spec in IoT & Sensors) in Vellore Institute of Technology, Vellore (Tamil Nadu), India.
⁴U.V.S.A.M.Preetham, Presently studying BTech (3rd year), Electronics and Communication Engineering (Spec in IoT & Sensors) in Vellore Institute of Technology, Vellore, (Tamil Nadu), India.
Manuscript received on May 18, 2021. | Revised Manuscript received on May 24, 2021. | Manuscript published on May 30, 2021. | PP: 110-114 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G90120510721| DOI: 10.35940/ijitee.G9012.0510721
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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: As we all know that the Agriculture plays an important role in the Indian economy and majority of the individuals depends upon it and offers huge amount of the crops through the worldwide. The Illnesses in these crops are generally on the leaf’s influences on the decrease of both quality and number of horticultural items. We should know the disease of the crop correctly to solve the problem. There will be a huge loss if we do not find the disease and treat properly. The view of natural eye isn’t so a lot more grounded in order to watch minutevariety in the contaminated piece of leaf. In thisreport, we are giving a programming answer fornaturally identify and arrange plant leaf diseases. In this we are utilizing picture preparing methods to characterize alignments and rapidly finding can be completed according to infection. This methodology will upgrade the efficiency of yields in a efficient way and can get us the accurate disease which helps us to find the solution for the diseased crop. It observes a few stages with the help of these pictures obtaining, picture pre-handling, division, highlights extraction and genetic algorithm-based grouping. Relating to the cultivation of land, efficiency is something on which economy exceptionally depends. This is the one of the reasons that sickness identification in plants assumes a significant job in the agriculture business field, as having the illness in plants are very normal. In an event that legitimate consideration isn’t taken here, at that point it causes true consequences for plantsand because of which quality of each and every item, amount or efficiency is being influenced. The recognition of plant infections through some programmed step is gainful as it avoids a huge work of checking in huge homesteads of harvests. At the beginning of the crop harvesting step itself, it shows the side effects or the symptoms of the diseases. This proposed method surfaces into a new programmed manner by distinguishing the effects of the crop plant diseases. We are using some image processing techniques for the identification of the disease. Additionally, it watches the review on the various diseases order strategies which also can be utilized for plant leaf alignment. Picture division, which is a significant viewpoint for sickness identificationin a plant leaf alignment, is finalized by the input RGB mask images.
Keywords: This Methodology Will Upgrade The Efficiency Of Yields In A Efficient Way And Can Get Us The Accurate Disease Which Helps Us To Find The Solution For The Diseased Crop.

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G89530510721

IJITEE Journal — Thu, 06 Jan 2022 07:42:03 +0000

User Reputation Calculation for Service-Oriented Environments
J Paul Raja Singh¹, Sharmishtha Sen², Shreyes Prasad³
¹J Paul Rajasingh, Assistant Professor (Senior Grade), SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
²Ms. Sharmishtha Sen*, B. Tech, Department of Computer Science and Engineering, SRM institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
³Shreyes Prasad, Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
Manuscript received on May 12, 2021. | Revised Manuscript received on May 26, 2021. | Manuscript published on May 30, 2021. | PP: 107-109 | Volume-10 Issue-7, May 2021 | Retrieval Number: 100.1/ijitee.G89530510721| DOI: 10.35940/ijitee.G8953.0510721
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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: All the cloud based applications work on service oriented architectures and collaborate with multiple components from other services to execute discreet application logic. In this environment there are a lot of Web services facilitated to the customer to make the systems. As the potential of the same Web service will change with respect to users’ needs. On an average a user will be heavily relied on tools to aid their activities on the internet vice versa the Service provider are also dependent on the users profile and what services are being used in the system. A User Reputation model offers a solution to the Service providers in supporting their service decision based on the User Profile. This model takes usage ratings as data and produces a personalised score. We suggest a new Cumulative separation on the basis of Tags and popularity estimation method and showcase its enhanced filtration ability.
Keywords: Collaborative filtering, Feedback rating, Matrix factorization, Quality of Service (QoS), Reputation, Service-Oriented Architectures.

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