Volume-10 Issue-2, July 2021 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org Exploring Innovation | ISSN:2277-3878(Online) | A Periodical Journal | Reg. No.: C/819981 | Published By BEIESP Tue, 11 Jan 2022 11:36:28 +0000 en-US hourly 1 https://www.ijrte.org/wp-content/uploads/2021/02/cropped-IJRTE-Logo-WS-32x32.png Volume-10 Issue-2, July 2021 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org 32 32 B62970710221 https://www.ijrte.org/portfolio-item/b62970710221/ https://www.ijrte.org/portfolio-item/b62970710221/#respond Thu, 06 Jan 2022 04:54:01 +0000 https://www.ijrte.org/?post_type=portfolio&p=6092 The post B62970710221 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Techniques of Indoor-Outdoor Scene Classification using the VGG-16 CNN Model
Kajal Gupta1, RK Sharma2
1Kajal Gupta*, M. Tech degree, Department of Computer Science and Engineering, Faculty of Engineering and Technology, Agra College, Agra (U.P.), India.
2R K Sharma, Associate Professor, Faculty of Engineering and Technology, Agra College, Agra (U.P.), India.
Manuscript received on July 19, 2021. | Revised Manuscript received on July 26, 2021. | Manuscript published on July 30, 2021. | PP: 242-247 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B62970710221| DOI: 10.35940/ijrte.B6297.0710221
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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 world of today, computers have begun to rule the people as the machines carry out practically every work that people can accomplish. Scene classification is one such concept that becomes increasingly important when robots replicate the actions of a human being Scene categorization may be done on interior or exterior scenes using various extraction techniques, as well as categorization of indoor and outdoor scenes in these two categories is more difficult. The methodology for the indoor/outdoor classification scene has the drawback of inadequate accuracy. This research aims to enhance the accuracy by using the Convolution Neural Network Model in VGG-16. This paper proposes a new approach to VGG-16 to classify images into their classes. The algorithm results are tested using SUN397- indoor-outdoor dataset & the tentative data reveal that the methodology proposed is superior to the existing technology for the scene classification of indoor-outdoor (I/U). 
Keywords: Scene Classification, Indoor-Outdoor Classification, Deep Learning, Neural Network Model VGG 16, CCN, Data Augmentation, Imagedatagenerator, Optimizers.

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Masquerade Attack Analysis for Secured Face Biometric System
Shweta Policepatil1, Sanjeeva Kumar M. Hatture2
1Shweta Policepatil*, Pursuing, Master Degree, Department of Computer Science and Engineering, Basaveshwar Engineering College, Bagalkot, Visvesvaraya Technological University, Belagavi ( Karnataka), India.
2Sanjeeva Kumar M. Hatture, Department of Computer Science and Engineering, Basaveshwar Engineering College, Bagalkot, Visvesvaraya Technological University, Belagavi ( Karnataka), India.
Manuscript received on July 20, 2021. | Revised Manuscript received on July 29, 2021. | Manuscript published on July 30, 2021. | PP: 225-232 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B63090710221| DOI: 10.35940/ijrte.B6309.0710221
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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: Biometrics systems are mostly used to establish an automated way for validating or recognising a living or non-living person’s identity based on physiological and behavioural features. Now a day’s biometric system has become trend in personal identification for security purpose in various fields like online banking, e-payment, organizations, institutions and so on. Face biometric is the second largest biometric trait used for unique identification while fingerprint is being the first. But face recognition systems are susceptible to spoof attacks made by nonreal faces mainly known as masquerade attack. The masquerade attack is performed using authorized users’ artifact biometric data that may be artifact facial masks, photo or iris photo or any latex finger. This type of attack in Liveness detection has become counter problem in the today’s world. To prevent such spoofing attack, we proposed Liveness detection of face by considering the countermeasures and texture analysis of face and also a hybrid approach which combine both passive and active liveness detection is used. Our proposed approach achieves accuracy of 99.33 percentage for face anti-spoofing detection. Also we performed active face spoofing by providing several task (turn face left, turn face right, blink eye, etc) that performed by user on live camera for liveness detection.
Keywords: Face Recognition, Pattern Recognition, Feature Extraction, Anti-Spoofing, Masquerade Attack.

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Paas EUD Tool for Developing Expert Context-Aware Mobile Applications
Sahar Elshafei1, Ehab Hassanein2, Hanan Elazhary3
1Sahar Elshafei*, Department of Information Systems, Cairo University, Cairo, Egypt.
2Ehab Hassanein, Department of Information Systems, Cairo University, Cairo, Egypt.
3Hanan Elazhary, Department of Computers and Systems, Electronics Research Institute, Cairo, Egypt. 
Manuscript received on July 16, 2021. | Revised Manuscript received on July 23, 2021. | Manuscript published on July 30, 2021. | PP: 215-224 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B62730710221| DOI: 10.35940/ijrte.B6273.0710221
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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: Context-awareness enables systems to be tailored to the needs of users and their real circumstances at certain times. A noteworthy trend in software development is that an increasing number of software systems are being developed by individuals with expert knowledge in other sectors. Because most of the current context-aware development toolkits are intended for software developers, these types of systems cannot be easily developed by non-technical consumers. The development of tools for designing context-aware frameworks by consumers who are not programming experts but are specialists in the area of implementation would result in faster adoption of such services by businesses. This paper provides a cloud-based framework for people without programming experience to create context-aware mobile applications. The platform can provide a lightweight distribution of packaged applications that allows experts to send specified information to mobile users based on their context data without overlapping between the rules of the application. An energy-efficient mobile application was developed to acquire contextual information from the user device and to create quality data accordingly. The framework adopts Platform as a Service (PaaS) and containerization to facilitate development of context-aware mobile applications by experts in various domains rather than developing a tool for each domain in isolation, while considering multitenancy. 
Keywords: End-user development, Domain expert, Context-awareness, Containerization.

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Connecting Through Zoom in COVID-19 Pandemic
Kamini Sharma1, Anurag Sharma2
1Kamini Sharma*, Department of Computer Science and Engineering, Dr APJ Abdul Kalam Technical University, Lucknow (U.P.), India.
2Anurag Sharma, Department of Computer Science and Engineering, Dr APJ Abdul Kalam Technical University, Lucknow (U.P.), India. 
Manuscript received on July 20, 2021. | Revised Manuscript received on July 27, 2021. | Manuscript published on July 30, 2021. | PP: 211-214 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B63140710221| DOI: 10.35940/ijrte.B6314.0710221
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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 Covid-19 pandemic where every working person is working from home to stay safe and to maintain social distancing. In mild of the corona virus crisis, the videoconferencing app has emerged as the usual for connecting with others face-to-face actually in each commercial enterprise and private settings. In Covid19 pandemic the main trouble got here out turned into a way to live related with every other. Connectivity turned into the main trouble for anyone like in schools, colleges, universities, private sector, Government sector, spiritual sector, not unusual place human beings and plenty of more. Every task that become occurring physically among human beings went on-line via video conferencing apps Because within side the pandemic of COVID-19 no individual favored to have an impact on their jobs or employment, studies, business, personal relationship, and lots of various relationships. In mild of the corona virus crisis, the videoconferencing app has emerged as the usual for connecting with others face-to-face actually in each commercial enterprise and private settings. There are many videos conferencing gear to be had like Google meet, skype, slack, join.me, GoToMeeting, Cisco WebEx, etc. Even in case, you do not work from home, you have heard of Zoom. Zoom has emerged as incredibly famous amongst all on this COVID-19 pandemic. Let us have a few mild at the Zoom video conferencing app. 
Keywords: Zoom, Corona virus, COVID-19, Video Conferencing application, Google meet, skype, slack, join.me, Go To Meeting, Cisco WebEx.

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Design and Analysis of MIMO F-OFDM Systems for 5G and Beyond Wireless Communications
Sohag Sarker1, Laila Arzuman Ara2, Tahsin Alam3, Tarun Debnath4
1Sohag Sarker Assistant Professor, Department of Information and Communication Engineering (ICE), Pabna University of Science and Technology, Bangladesh.
2Laila Arzuman Ara, MSc, Majoring Data Science, Military Institute of Science and Technology (MIST), Dhaka, Bangladesh.
3Tahsin Alam, B.Sc. (Engineering) Student, Department of Information and Communication Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
4Tarun Debnath*, Lecturer, Department of Information and Communication Engineering, Pabna University of Science and Technology, Pabna, Bangladesh. 
Manuscript received on July 16, 2021. | Revised Manuscript received on July 27, 2021. | Manuscript published on July 30, 2021. | PP: 203-210 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B62740710221| DOI: 10.35940/ijrte.B6274.0710221
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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: F-OFDM (Filtered-OFDM) is a flexible waveform that has been considered suitable for 5G and beyond systems for its improved spectrum utilization, moderates PAPR, low OOB emission, multiple asynchronous sub-band transmission, and high robustness to frequency selectivity. It can attain a desirable balance between frequency and time localizations for narrow bandwidths. It is also MIMO friendly. In this paper, a comprehensive design and analysis have been made to evaluate the performance of MIMO (4×4) CP-OFDM and F-OFDM systems for message bits transmission using several digital modulation techniques (16-QAM, 16-PSK, 16-DPSK, 64-QAM, 64-PSK, and 64-DPSK), RA channel coding, different windowed (Hanning, Hamming, Blackman, Blackman-Harris, RRC) sinc FIR filters for length N = 513, and MMSE signal detection technique. From MATLAB based simulation results, it is observed that F-OFDM reduces spectrum leakage thus enhances spectrum efficiency than conventional CP-OFDM. F-OFDM based system offers lower BER (Bit Error Rate) performance than CP-OFDM based system. 
Keywords: OFDM, F-OFDM, MIMO, FIR Filter, RA coding, OOB, PAPR, BER, MMSE.

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Scalable Architectural Pattern for Integrating Syslog Servers with Splunk
Krishna Mohan Koyya
Krishna Mohan Koyya*, Assistant Professor, Department of Information Technology, Sasi Institute of Technology & Engineering, Tadepalligudem (Andhra Pradesh), India.
Manuscript received on July 20, 2021. | Revised Manuscript received on July 26, 2021. | Manuscript published on July 30, 2021. | PP: 199-202 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B63070710221| DOI: 10.35940/ijrte.B6307.0710221
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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 enterprise infrastructure consists of several devices. The devices emit event notifications representing their current state. The devices without storage such as printers and routers are configured to send the event notifications in the form of syslogs to one or more remote syslog servers over the network. Depending on the size and usage of the enterprise infrastructure, millions of syslogs may be emitted per second. These syslogs are used by the system administrators to detect and address the anomalies in the infrastructure. The system administrators often integrate the syslog servers with Log Analysis tools that offer aggregation, analytics, and visualisation capabilities. Splunk is one such popular tool that can be integrated with syslog servers. This paper proposes an architectural pattern for syslog servers that are to be integrated with Splunk for better performance, scalability and resilience. 
Keywords: Syslog, Syslog-ng, Splunk, Integration Patterns.

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Implementation of Fraudulent Sellers Detection System of Online Marketplaces using Machine Learning Techniques
Pooja Tyagi1, Anurag Sharma2
1Pooja Tyagi*, M.Tech, Department of Computer Science and Engineering, Dr APJ Abdul Kalam Technical University, Lucknow (U.P.), India.
2Anurag Sharma, Head, Department of Computer Science and Engineering, Dr APJ Abdul Kalam Technical University, Lucknow (U.P.), India. 
Manuscript received on July 19, 2021. | Revised Manuscript received on July 26, 2021. | Manuscript published on July 30, 2021. | PP: 194-198 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B62980710221| DOI: 10.35940/ijrte.B6298.0710221
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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 E-commerce proportion in global retail expenditure has been steadily increasing over the years showing an obvious shift from brick and mortar to retail clicks. To analyze the exact problem of building an interactive models for the identification of auction fraud in the entry of data into e-commerce. This is why the most popular site’s business develops with retailers and other auction customers. Where viral customers purchase products from online trading, customers may worry about fraudulent actions to get unlawful benefits from honest parties. Proactive modesty systems for detecting fraud are thus a necessary practice to prevent such illegal activities. The shopping product is built according to the customer’s requirements and is safer online and resting, and the rules and regulations that are necessary to follow no longer seem to be the best of workable selection, coefficient limits that facilitate the shopping product and make it easier for the user model to compete on each platform so that it can experiment. 
Keywords: Online Marketplace, Fraud Detection, Machine Learning, Support Vector Machines.

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A Study on Federated Cloud Computing Environment
Sapana Sanjay Bhuskute1, Sujata Kadu2
1Sapana Sanjay Bhuskute*, Department of Information Technology, Terna Engineering College, Nerul, India,
2Prof. Sujata Kadu, Department of Information Technology, Terna Engineering College, Nerul, India, 
Manuscript received on July 20, 2021. | Revised Manuscript received on July 27, 2021. | Manuscript published on July 30, 2021. | PP: 187-193 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B63110710221| DOI: 10.35940/ijrte.B6311.0710221
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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: Federated cloud computing is the advancement in the area of the general cloud computing paradigm. In a federated cloud environment, multiple cloud service providers share their computing assets, servers, and various facilities to fulfill customer demands. Federated cloud computing terminology consists of the aggregation of services considered by interoperability characteristics and creates the integration of several cloud service providers regardless of any geographical location. It improves the performance, utilization of facilities, minimizes response time and pricing model by partial subcontracting various computing resources and facilities from the nearby cost-efficient province. Customers also get profited from service level agreements signed between the cloud service providers through intermediator cloud brokers. This work aims to survey the federated cloud environment, its various architectural types, advantages associated with the federation, challenges associated with a federated cloud environment, and future research directions in the federated cloud computing research area. 
Keywords: Cloud Architecture, Cloud Broker, Cloud Federation, Cloud Service Providers, Federated Cloud, Multi-cloud Deployment, SLA.

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A Reduced Switch Count Seven Level Symmetrical Inverter with Low Distortion
Vanumu Balaji1, U. Subha2, G Joga Rao3
1Mr. V Balaji*, Pursuing M Tech, Department of Power Electronics, Raghu Institute of Technology, Visakhapatnam (Andhra Pradesh), India.
2Mrs. Uppili Subha, Assistant Professor, Department of EEE, Raghu Institute of Technology, Visakhaptanam (Andhra Pradesh), India.
3Dr. G Joga Rao, Assistant Professor, Department of EEE, Raghu Institute of Technology, Visakhapatnam (Andhra Pradesh), India.
Manuscript received on May 29, 2021. | Revised Manuscript received on July 26, 2021. | Manuscript published on July 30, 2021. | PP: 181-186 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B60320710221| DOI: 10.35940/ijrte.B6032.0710221
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Abstract: Various types of new structures in multilevel inverters are evolving day by day. One among those is the reduced switch count type multilevel inverters. This inverter consists of low number of switches, gate driver components, and other switches like auxiliary switches. Depending on the value of the voltage sources we have symmetrical and asymmetrical multilevel inverters. In this paper, the seven level symmetrical inverter design is shown for seven levels in its output. The output voltage waveform is plotted and its FFT is performed and the THD values are shown. The inverter is simulated in SIMULINK software. Index Terms: Seven level MLI, inverter, and Modular Inverter. 
Keywords: THD, FFT, Distortion factor.

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A Novel Method for Starting of VSC-HVDC System
Guntamukkala Vamsi1, P Kiran Kumar2, G Joga Rao3
1Mr. G. Vamsi*, M. Tech, Department of Power Electronics, Raghu Institute of Technology, Visakhapatnam (Andhra Pradesh), India.
2Mr. P. Kiran Kumar, Assistant Professor, Department of EEE, Raghu Institute of Technology, Visakhapatnam (Andhra Pradesh), India.
3Dr. G Joga Rao,  Associate Professor, Department of EEE, Raghu Institute of Technology, Visakhapatnam (Andhra Pradesh), India.
Manuscript received on May 26, 2021. | Revised Manuscript received on July 26, 2021. | Manuscript published on July 30, 2021. | PP: 175-180 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B60090710221| DOI: 10.35940/ijrte.B6009.0710221
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Abstract: The voltage source converters (VSCs) are the circuits, which convert the power from one form to the other. The application of voltage source converter is vital in HVDC systems. The voltage source converter technology is employed for the smooth operation of any HVDC system. Hence, the HVDC systems based on VSC are gaining importance compared to the other HVDC systems. The starting up process of HVDC system is associated with large value of current, so a proper method of starting is required for the safe operation of the HVDC system. In this paper, a new and novel method is proposed for the smooth starting of the VSC based HVDC system, which will limit the current successfully with high speed operation. Index Terms: Nine level MLI, Control of inverter, Modular Inverter. 
Keywords: THD, Optimum Angles, Iterative Methods.

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