Volume-9 Issue-8, June 2020 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

C8425019320

IJITEE Journal — Tue, 12 Apr 2022 10:39:50 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. Challenges of Industry and their Solutions, Communications #Advanced Manufacturing Technologies #Artificial Intelligence #Autonomous Robots #Augmented Reality #Big Data Analytics and Business Intelligence #Cyber Physical Systems (CPS) #Digital Clone or Simulation #Industrial Internet of Things (IIoT) #Manufacturing IoT #Plant Cyber Security #Smart Solutions – Wearable Sensors and Smart Glasses #System Integration #Small Batch Manufacturing #Visual Analytics #Virtual Reality #3D Printing # Internet of Things (IoT) #Internet of Things (IoT) & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Block Chain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Microwaves and Photonics #Microwave filter #Micro Strip antenna #Microwave Link design #Microwave oscillator #Frequency selective surface #Microwave Antenna #Microwave Photonics #Radio over Fibre #Optical Communication, #Optical Oscillator #Optical Link Design #Optical Phase Lock Loop #Optical Devices #Computation Intelligence and Analytics #Soft Computing #Advance Ubiquitous Computing #Parallel Computing #Distributed Computing #Machine Learning #Information Retrieval #Expert Systems #Data Mining #Text Mining #Data Warehousing #Predictive Analysis #Data Management #Big Data Analytics #Big Data Security #Energy Harvesting and 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Treatment of Bio-methanated Distillery Spentwash using various Physico-Chemical Treatment Techniques
Amar S. Byakodi¹, B.T. Suresh Babu²
¹Mr. Amar S. Byakodi*, Research Scholar & Assistant Professor, Department of Civil Engineering, Angadi Institute of Technology & Management, Belagavi, Affiliated to Visvesvaraya Technological University, Karnataka, India.
²Dr. B.T. Suresh Babu, Professor, Department of Civil Engineering, Angadi Institute of Technology & Management, Belagavi, affiliated to Visvesvaraya Technological University, Karnataka, India
Manuscript received on December 14, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 2600-2603 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8425019320/2020©BEIESP | DOI: 10.35940/ijitee.C8425.019320
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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: Distilleries are one of the important secondary agro based industries. Every liter of alcohol produced will generate around 8 to 10 liters of Spent wash, which is highly complex liquid waste with dark reddish brown colour. Distilleries are listed in Red category by Ministry of Environment, Forest and Climate Change, Govt. of India, due to the complexity of Spent wash. This liquid waste is very difficult to treat and safe disposal of the same is a tedious task for distilleries. Most of the distilleries have adopted anaerobic digestion as a source of energy recovery by extracting methane from spent wash. The effluent from the anaerobic digester is called Bio-methanated Spentwash (BMSW), which is partially treated, but still concentrated and the same cannot be disposed into the environment safely. Present study is a part of Research work, which concentrates on various treatment techniques to further treat the Bio-methanated Spent wash to use it in composting of Pressmud in field scale. Electrocoagulation, Adsorption and Fenton Oxidation are selected as treatment techniques for the study, to convert Bio-methanated Spentwash into Stabilized Spentwash (SSW). This study showed, Fenton oxidation has a maximum removal efficiency with COD reduction of 45%, but produces volatile organic fumes harmful for the living beings. Hence, for the field scale implementation of Stabilization of Spentwash, Electrocoagulation process is recommended, due to its efficiency and practical feasibility of implementation .
Keywords: Spent wash, Electro-coagulation, Fenton Oxidation, Adsorption, Stabilized Spentwash.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques

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C8384019320

IJITEE Journal — Mon, 28 Feb 2022 09:08:22 +0000

T1 Weighted MR Brain Image Segmentation with Triangular Intuitionistic Fuzzy Set
Gagan Kumar Koduru¹, Kuda Nageswararao², Anupama Namburu³
¹Gagan Kumar Koduru*, Department of Computer Science & Systems Engineering, Andhra University, Visakhapatnam, India.
²Kuda Nageswararao, Department of Computer Science & Systems Engineering, Andhra University, Visakhapatnam, India.
³Anupama Namburu, Department of CSE, Vellore Institute of Technology, Amaravati, India.
Manuscript received on January 11, 2020. | Revised Manuscript received on January 24, 2020. | Manuscript published on February 10, 2020. | PP: 762-768 | Volume-9 Issue-4, February 2020. | Retrieval Number: C8384019320/2020©BEIESP | DOI: 10.35940/ijitee.C8384.029420
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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: ISegmentation of medical image is a very important step in processing of image to help examination of diseases. The early detection of ailments from the normal diseases is essential for the physicist to stop and provide treatment. Increasing Cerebrospinal fluid in brain causes dementia which is an increasing mostly prevalent now days. Segmentation of brain images is a challenge due to the existence of noise and intensity in-homogeneity that creates hesitation in segmenting the tissues. This paper is about a fresh segmentation method that uses triangular membership function to distinguish the early regions of brain tissue with intuitionistic fuzzy set. The triangular membership function helps in identifying the initial clusters and regions and facilitates in the decline of the number of iterations needed for segmentation. The proposed method successfully determines the brain tissues avoiding local minima and need of initial clusters. Hence, outperforms the existing method with increased accuracy and reduced computation time
Keywords: Intuitionistic Fuzzy Sets, Segmentation, Rough Sets, Brain Image, Soft Sets.
Scope of the Article: Fuzzy logics

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E2147039520

IJITEE Journal — Sat, 12 Feb 2022 05:25:04 +0000

Efficient Temporal-key Based Encryption Mechanism for WSN-ETEM
Premakumar MN¹, Ramesh S²
¹Premakumar MN*, Research Scholar, Department Electronics & Communication, Dr. AIT, Bengaluru, Karnataka, India.
²Dr. Ramesh S, Professor and Head, Department of Electronics & Communication Engineering, Dr. AIT, Bengaluru, Karnataka, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 22, 2020. | Manuscript published on March 10, 2020. | PP: 143-148 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2147039520/2020©BEIESP | DOI: 10.35940/ijitee.E2147.039520
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Abstract: Wireless sensor networks (WSNs) are a promising technology for several industrial real-time and quotidian applications. Due to inherent limitations in WSN, security is a crucial issue. Cryptographic primitives are the fundamental components for designing security protocols to achieve security and privacy in WSN. Based on the review, it has been analyzed that the majority of security protocols for WSN are based on encryption and key distribution. The main open issue for these approaches concerns the establishment of security with an involvement of complex procedure, which presents considerable memory overheads, in contrast with the limited resources of sensor nodes. Therefore, the proposed work presents the modeling of an analytical approach for efficient encryption using temporal key management for robust security services to resists potential attacks and enables secure communication. The utilization of temporal-key mechanism in encryption operation offers additional support to routing operation in the network for secure data transmission with negligible computational overhead, thus preserving a higher level of energy savings in packet transmission operation. The validation of the proposed system performance is carried out a simulation study, which shows the effectiveness of the proposed system in terms of node remaining energy and processing time.
Keywords: WSN, Security, Authentication, Encryption, Key Distribution, Routing, Sensors
Scope of the Article: Authentication, Authorization, Accountinging

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E2788039520

IJITEE Journal — Thu, 03 Feb 2022 10:11:15 +0000

A Design of Intrusion Detection using Modified Bat Algorithm and Deep Autoencoder Network
Soundari D.V M.E.¹, Kuralarasi R², Kalieshwari S³, Kanimozhi M⁴, Kanimozhi N⁵
¹Soundari D.V M.E., Assistant Professor, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu
²Kuralarasi R, PG Student, Department of ECE Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu
³Kalieshwari S, PG Student, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu
⁴Kanimozhi M, PG Student Department of ECE Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu
⁵Kanimozhi N, PG Student Department of ECE Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu
Manuscript received on March 15, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 10, 2020. | PP: 571-576 | Volume-9 Issue-6, April 2020. | Retrieval Number: E2788039520/2020©BEIESP | DOI: 10.35940/ijitee.E2788.049620
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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: OIn this world, Intrusion Detection is more popular for preparing the network security systems. In current trend of increasing security system, there is a demand for Intrusion Detection. With these clarifications need to find a huge Data measurement, high speed traffic’s and frequent forms of threats. In this work, Intrusion Detection is done by Deep Auto-Encoder network (DAEN) and Modified BAT algorithm (MBA). Our approach improves the Deep Auto Encoder (DAE) classifier by manipulating the benefits of an additional process encourage through the atmosphere of microbats (Bat Procedure). The core aim of this work is to select the features based on Modified Bat Algorithm. Towards examine the model, using the NSL-KDD data’s and the survey of Modified Bat Algorithm will be discussed. Moreover, these methods do well to improve DAEN classifier and get reliable performance in standing of accuracy (96.06%), attack detection rate (95.05%).
Keywords: Network Security, Modified BAT Algorithm, Deep Auto Encoder Network, Intrusion Detection, NSL-KDD.
Scope of the Article: Networked-Driven Multicourse Chips

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G5005059720

IJITEE Journal — Thu, 27 Jan 2022 06:53:00 +0000

Internet Technology Exposure, Social Intercourse Patterns, and Student Characters
Husni Husni¹, Abdul Azis², Soni Samsu Rizal³, Tanto Aljauharie Tantowie⁴, Didih Syakir Munandar⁵
¹Husni Husni*, Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia.
²Abdul Azis, Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia.
³Soni Samsu Rizal, Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia.
⁴Tanto Aljauharie Tantowie, Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia.
⁵Didih Syakir Munandar, Institut Agama Islam Darussalam (IAID), Ciamis, Indonesia.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 70-74 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5005059720/2020©BEIESP | DOI: 10.35940/ijitee.G5005.059720
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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 study aims to determine the effect of internet technology on student characters, as well as the influence of social intercourse patterns on their characters. The study used a survey method of 77 students at a religious school in Cilacap, Indonesia. Data were collected using questionnaires, interviews, and observation techniques. The results showed; First, exposure to internet technology has a negative effect on student character. The higher internet technology exposure, the worse students character. This is indicated by the correlation coefficient of -0.507 and is significant at the significance level of 0.05. Second, the social intercourse pattern affects the character of students. The tighter of social intercourse pattern, the better the character of students, conversely the more free the students’ social intercourse, the worse their character. This conclusion is obtained from the correlation coefficient of 0.737 and is significant at the significance level of 0.05. Third, exposure to internet technology and social intercourse patterns simultaneously have a significant effect on student character. This conclusion is obtained from the multiple correlation coefficient of 0.752, which is significant at the 0.05 level.
Keywords: Internet technology, social intercourse, character, character.
Scope of the Article: Internet of Things

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G5712059720

IJITEE Journal — Thu, 27 Jan 2022 04:30:04 +0000

Enhancement of Classification using FPFF-ANN for Big data Analysis in Distributed Environment
K Murali Gopal¹, Pragnyaban Mishra², R. P. Singh³
¹K Murali Gopal*, Computer Science and Engineering, Satya Sai University of Technical and Medical Science (SSSUTMS), Sehore, Madhya Pradesh, India.
²Dr. Pragnyaban Mishra, Computer Science and engineering, KL University, Vijayawada, India.
³Dr. R. P. Singh, Computer Science and Engineering, Satya Sai University of Technical and Medical Science (SSSUTMS), Sehore, Madhya Pradesh, India
Manuscript received on May 16, 2020. | Revised Manuscript received on June 01, 2020. | Manuscript published on June 10, 2020. | PP: 1033-1040 | Volume-9 Issue-8, June 2020. | Retrieval Number: G5712059720/2020©BEIESP | DOI: 10.35940/ijitee.G5712.069820
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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 development of massive amount of information from any source of group at any time, wherever and from any device which is termed as Big Data. The age group of big data becomes a dangerous challenge to grip, take out and access these data is short length of time. The detection of everyday item sets is an significant issue of data mining which helps in engendering the qualitative information for the business insight and helps for the verdict makers. For the extracting the necessary item sets from the big data a variety of big data logical techniques has been evolved such as relationship rule mining, genetic algorithm, mechanism learning, FP-growth algorithm etc. In this paper we suggest FP-ANN algorithm to promote the FP enlargement calculation with neural networks to maintain the feed forward approach. The recommend algorithm uses the Twitter social dataset for the collection of frequent item sets and the proportional analysis of this approach is done using the different performance measuring parameters such as Precision, Recall, F-measure, Time complexity, Computation cost and time. The simulation of proposed work is done using the JDK, JavaBeans, and Wamp server software. The experimental results of projected algorithm gives better results in deference of time difficulty, computation cost and time also. It also gives enhanced results for the Precision, recall and F-measure.
Keywords: Big Data Analytic, Genetic Algorithm, FP-Growth, Association Rule, Neural Network, Precision, Recall, F-measure.
Scope of the Article: Classification

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H6779069820

IJITEE Journal — Thu, 27 Jan 2022 04:21:08 +0000

Development of Method of Moment Based Programme to Analyze Cross Dipole Frequency Selective Surface and its Verification with Measured Results
Saptarsika Das¹, Anirban Bhattacharya², Santanu Mondal³, Partha Pratim Sarkar⁴
¹Saptarsika Das*, Department of Electronics, Rishi Bankim Chanra College, Naihati, India.
²Anirban Bhattacharya, Department of Electronics, Rishi Bankim Chanra College, Naihati, India.
³Santanu Mondal, Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India.
⁴Partha Pratim Sarkar, DETS, University of Kalyani, Nadia, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on May 30, 2020. | Manuscript published on June 10, 2020. | PP: 1019-1023 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6779069820/2020©BEIESP | DOI: 10.35940/ijitee.H6779.069820
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Abstract: Theoretical analysis of frequency selective surface comprising of cross dipole elements has been presented in this paper. Algorithm for theoretical analysis based on method of moment has been implemented by MATLAB programming. Theoretical, simulated and experimental results are compared. Simulated result is obtained by ANSOFT designer version 2.2 software. Experimental result is obtained by standard microwave test bench. Good parity in the results is observed. The presented FSS Structure has relevance in the field of mobile and satellite communication.
Keywords: Cross Dipole, Frequency Selective Surface, Method Of Moment.
Scope of the Article: Frequency Selective Surface

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G5916059720

IJITEE Journal — Thu, 27 Jan 2022 04:14:01 +0000

Enhanced Traffic Management System using Artificial Intelligent Congestion Control
S.Thulasee Krishna¹, K. Nagendra Rao², P.Poornima³
¹Dr.S.thulaseeKrishna*, Ph.D, Professor, Dept .of CSE , Chadalawada Ramanamma Engg. College(Autonomous) Tiruapthi, Chittoor (Dist), Andhra Pradesh, India.
²Mr. K. Nagendra Rao, Associate Professor, Dept. of. CSE, Chadalawada Ramanamma Engg. College(Autonomous) Tiruapthi, Chittoor (Dist), Andhra Pradesh, India.
³Mrs. P. Poornima, Assistant Professor , Dept. of CSE, , Chadalawada Ramanamma Engg. College(Autonomous) Tiruapthi, Chittoor (Dist), Andhra Pradesh, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on June 01, 2020. | Manuscript published on June 10, 2020. | PP: 1015-1018 | Volume-9 Issue-8, June 2020. | Retrieval Number: G5916059720/2020©BEIESP | DOI: 10.35940/ijitee.G5916.069820
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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 smart city proposed by government is providing better infrastructure with possible automated device. Every smart city proposes to provide smart transport through automated traffic management .The peak hours face the congestion road and many traffic irregularities. The congested road aids in poor Travel experience, environmental pollution and health hazards by vehicular fuel. The solution to aforesaid issues leads to traffic Automation in urban communities. To implement the traffic automation need access to real time traffic congestion information, best possible route and alternate strategy with online traffic information applicable to specific traffic stream. An more suitable site visitors manipulate and MF has been mentioned to finish short information transmission and their corresponding motion performed via artificial intelligence. The VANET scenario, congestion manage algorithm executed through mobile agent controller uniformly organizes the traffic glide by way of heading off the congestion at the smart visitors zone ,The law-enforcement bodies ,the fire opponents and the clinical and/or paramedical teams consciousness on elevated quantity of crime in addition to lifestyles losses through site visitors irregularities. The benefits of adopting the internet of things(iot)provide a new prospect for intelligent site visitors improvement.
Keywords: Intelligent traffic systems, Artificial intelligent system, VANET.
Scope of the Article: Artificial Intelligent

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H6788069820

IJITEE Journal — Thu, 27 Jan 2022 04:03:57 +0000

Mathematical Modeling and Analysis of Hoop Stress in Hydroforming Deepdrawing of n-sided Polygonal Cup
G Kishan¹, B.V.S. Rao²
¹G Kishan*, Faculty of Mechanical Engineering, University College of Engineering & Technology for Women, Kakatiya University, Warangal(U),Telangana, India.
²B.V.S. Rao, Faculty of Mechanical Engineering, Chaitanya Bharathi Institute of Technology, Osmania University, Gandipet, Hyderabad, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on May 30, 2020. | Manuscript published on June 10, 2020. | PP: 1011-1014 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6788069820/2020©BEIESP | DOI: 10.35940/ijitee.H6788.069820
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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 main objective of this paper presents the analytical evaluation and mathematical modelling of hoop stresses of aluminium 7075 alloys in hydro forming deep drawing of n-sided polygonal cup. It is very important to find the magnitude of these stresses generated within the flange region during the deep drawing process for various n-sided polygonal cups. In the flange region two types of stresses will be generated. When is radial tensile stress, it is taking place radially outward direction from the side of the cup to outer side of the blank material. and other is hoop stress it is compressive. It is perpendicular to the radial lines drawn from the job axis to the side of the blank. It is also parallel or tangential to the blank circumference. These two stresses will be generated within the blank material by the application of punch force.. As compared to the conventional deep drawing process, hydroforming is very convenient. uniform deformation of the blank taking place throughout out the process.
Keywords: Hoop stresses, Hydro form deep drawing, n-sided polygonal cup.
Scope of the Article: Deep Learning

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H6447069820

IJITEE Journal — Thu, 27 Jan 2022 03:55:28 +0000

Cross Platform Application for Canteen Food Ordering System
Anusha Kailas Kogta
Anusha Kailas Kogta, Department of Information Technology. MIT College of Engineering, Kothrud, Pune.

Manuscript received on May 16, 2020. | Revised Manuscript received on May 21, 2020. | Manuscript published on June 10, 2020. | PP: 1005-1010 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6447069820/2020©BEIESP | DOI: 10.35940/ijitee.H6447.069820
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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: Presently practically all Canteen across different colleges follow an extremely essential paper based or token-based framework to take orders from their staff/students. To make the framework increasingly productive and blunder free Canteen Automation System with cross stage application is proposed. The proposed application can be utilized by staff/students to put orders from anyplace independent of the stage on their gadgets. It empowers the clients to enlist on the web, see and select food things from the accessible menu and request food by simply choosing the food that the client needs to have utilizing the application in simple manner. The backend database will be refreshed subsequent to choosing the ideal food item from the menu card and it will be shown straightforwardly on the dashboard screen. The user will have a username and a secret key, by utilizing which he/she can sign in to the framework. Installments for the requests put should be possible online through the application. When the food is prepared the users will get a warning about the equivalent. The novel application decreases time utilization, administrative work, and human blunders as it is completely automatize. The online food requesting application sets up a food menu on the web and clients can undoubtedly put in the request according to their desire. Likewise with a food menu, clients can without much of a stretch track the requests. This application additionally gives a criticism framework where client can rate the food things. Additionally, the proposed application can suggest food, in view of the appraisals given by the client, the staff will be educated for the enhancements alongside the quality. The installment can be made on the web or pay-on-conveyance framework. For more made sure about requesting separate records are kept up for every client by giving them an ID and a secret key.
Keywords: Cross-platform application; Flutter; Android app, AES.
Scope of the Article: Distributed Mobile Applications Utilizing IoT

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