literature review on hostel management system pdf

Online Hostel Management System Using Hybridized Techniques of Random Forest Algorithm and Long Short-Term Memory

• Conference paper
• First Online: 26 July 2020
• Cite this conference paper

• S. Suriya 7 ,
• G. Meenakshi Sundaram 7 ,
• R. Abhishek 7 &
• A. B. Ajay Vignesh 7  

Part of the book series: Algorithms for Intelligent Systems ((AIS))

1950 Accesses

Hostel management is a Web application that is created for managing various hostel activities that limit physical labor and makes jobs much easier for all the users of the app. Many universities are using the traditional procedure for storing data. This has a bad effect on the efficiency of the institution. This Web application provides the users a user-friendly GUI that makes all hostel-related activities easier than before. Machine learning is used in every module such as registration, token booking, room allotment and leave form module to make all these processes quicker and support multiple users at the same time. Machine learning facilitates systems to enrich their ability to automatically improve their functionality through learning. These kinds of systems use datasets to learn and train themselves through it. This training does not even require human assistance or intervention. Supervised machine learning techniques involve a set of predefined training dataset to train themselves. Unsupervised machine learning techniques explore datasets to infer structure for unstructured data. This paper focuses on identification of the drawbacks of the existing system which leads to the designing of computerized GUI-oriented system. LSTM is used to enhance the effectiveness of the computerized system. Random forest algorithm is a supervised learning method for tasks such as classification and prediction that involve the construction of multiple decision trees at training time and outputting the class that is the mode of the classes in classification or the mean prediction of the individual trees in regression. The reason that we use random forest algorithm is that it does not overfit data for large datasets which is suitable in our case. It combines the result of one or more decision trees to avoid overfitting. They are flexible and provide results with high accuracy. Scaling of data is not necessary.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Durable hardcover edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

N.K. Kumar, D. Vigneswari, M. Vamsi Krishna, G.V. Phanindra Reddy, An optimized random forest classifier for diabetes mellitus, in Emerging Technologies in Data Mining and Information Security (Springer, Singapore, 2019), pp. 765–773

Google Scholar  

H. Wang, R. Magagi, K. Goïta, M. Trudel, H. McNairn, J. Powers, Crop phenology retrieval via polarimetric SAR decomposition and Random Forest algorithm. Remote Sens. Environ. 231 , 111234 (2019)

Article   Google Scholar  

E. Alickovic, A. Subasi, Alzheimer’s Disease Neuroimaging Initiative, Automatic detection of Alzheimer Disease based on histogram and random forest, in International Conference on Medical and Biological Engineering (Springer, Cham, 2019), pp. 91–96

L. Hou, Y. Liu, A. Wei, Geographical variations in the fatty acids of Zanthoxylum seed oils: a chemometric classification based on the random forest algorithm. Ind. Crops Prod. 134 , 146–153 (2019)

S. He, W. Chen, H. Liu, S. Li, D. Lei, X. Dang, et al., Gene pathogenicity prediction of Mendelian diseases via the random forest algorithm. Hum. Genet. 138 (6), 673–679 (2019)

A. Subasi, A. Ahmed, E. Aličković, A.R. Hassan, Effect of photic stimulation for migraine detection using random forest and discrete wavelet transform. Biomed Sig Process Control 49 , 231–239 (2019)

N. Zeng, X. Ren, H. He, L. Zhang, D. Zhao, R. Ge, et al., Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm. Ecol. Ind. 102 , 479–487 (2019)

A.C. dos Santos Luciano, M.C.A. Picoli, J.V. Rocha, D.G. Duft, R.A.C. Lamparelli, M.R.L.V. Leal, et al., A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm. Int. J. Appl. Earth Obs. Geoinf. 80 , 127–136 (2019)

L. Tang, F. Cai, Y. Ouyang, Applying a nonparametric random forest algorithm to assess the credit risk of the energy industry in China. Technol. Forecast. Soc. Chang. 144 , 563–572 (2019)

A.B. Shaik, S. Srinivasan, A brief survey on random forest ensembles in classification model, in International Conference on Innovative Computing and Communications (Springer, Singapore, 2019), pp. 253–260

R. Srinet, S. Nandy, N.R. Patel, Estimating leaf area index and light extinction coefficient using Random Forest regression algorithm in a tropical moist deciduous forest, India. Ecol. Inf. 52 , 94–102 (2019)

H. Nguyen, X.-N. Bui, Predicting blast-induced air overpressure: a robust artificial intelligence system based on artificial neural networks and random forest. Nat. Resour. Res. 28 (3), 893–907 (2019)

Article   MathSciNet   Google Scholar  

H.R. Pourghasemi, M.M. Saravi, Land-subsidence spatial modeling using the random forest data-mining technique, in Spatial Modeling in GIS and R for Earth and Environmental Sciences (Elsevier, 2019), pp. 147–159

S. Wang, G. Azzari, D.B. Lobell, Crop type mapping without field-level labels: random forest transfer and unsupervised clustering techniques. Remote Sens. Environ. 222 , 303–317 (2019)

F.B. de Santana, W.B. Neto, R.J. Poppi, Random forest as one-class classifier and infrared spectroscopy for food adulteration detection. Food Chem. 293 , 323–332 (2019)

X. Chen, T. Wang, S. Liu, F. Peng, A. Tsunekawa, W. Kang, et al., A new application of Random Forest Algorithm to estimate coverage of moss-dominated biological soil crusts in Semi-Arid Mu Us Sandy Land, China. Remote Sens. 11 (11), 1286 (2019)

J. Dou, A.P. Yunus, D.T. Bui, A. Merghadi, M. Sahana, Z. Zhu, et al., Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan. Sci. Total Environ. 662 , 332–346 (2019)

H. Patel, S. Parikh, A. Patel, A. Parikh, An application of ensemble random forest classifier for detecting financial statement manipulation of Indian listed companies, in Recent Developments in Machine Learning and Data Analytics (Springer, Singapore, 2019), pp. 349–360

S. Balli, E.A. Sağbaş, M. Peker, Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm. Measure. Control 52 (1–2), 37–45 (2019)

Download references

Author information

Authors and affiliations.

Department of Computer Science and Engineering, PSG College of Technology, Coimbatore, India

S. Suriya, G. Meenakshi Sundaram, R. Abhishek & A. B. Ajay Vignesh

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to G. Meenakshi Sundaram .

Editor information

Editors and affiliations.

School of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

Srikanta Patnaik

Simulation and Modelling, School of Science and Technology, Middlesex University, London, UK

Xin-She Yang

Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA

Ishwar K. Sethi

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper.

Suriya, S., Meenakshi Sundaram, G., Abhishek, R., Ajay Vignesh, A.B. (2021). Online Hostel Management System Using Hybridized Techniques of Random Forest Algorithm and Long Short-Term Memory. In: Patnaik, S., Yang, XS., Sethi, I. (eds) Advances in Machine Learning and Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-5243-4_17

Download citation

DOI : https://doi.org/10.1007/978-981-15-5243-4_17

Published : 26 July 2020

Publisher Name : Springer, Singapore

Print ISBN : 978-981-15-5242-7

Online ISBN : 978-981-15-5243-4

eBook Packages : Engineering Engineering (R0)

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

Enter the email address you signed up with and we'll email you a reset link.

• We're Hiring!
• Help Center

DESIGN AND IMPLEMENTATION OF ONLINE HOSTEL MANAGEMENT SYSTEM

Related Papers

PHILIP MUYESHI

International Journal for Research in Applied Science & Engineering Technology (IJRASET)

IJRASET Publication

This is a design and implementation of an online Hostel Management System. " ONLINE HOSTEL MANAGEMENT SYSTEM " is software developed for managing various activities in the hostel. For the past few years the number of educational institutions is increasing rapidly. Thereby the number of hostels is also increasing for the accommodation of the students studying in this institution. And hence there is a lot of strain on the person who are running the hostel and software's are not usually used in this context. This particular project deals with the problems on managing a hostel and avoids the problems which occur when carried manually. Identification of the drawbacks of the existing system leads to the designing of computerized system that will be compatible to the existing system with the system which is more user friendly and more GUI oriented. We can improve the efficiency of the system, thus overcome the drawbacks of the existing system

Amol Ghadage

International Journal on Computer Science and Engineering

Bikash Choudhury

Rajan Sharma

A hostel management system (HOMASY) was designed to provide a computerized process that is stress free, reliable and quick through the use of PHP computer programming language and MySQL database application to both the students and the staff in charge of the registration and hostel management processes. HTML would be at the front-end and provide the graphical user interface that relates with the user, while the MySQL database will be at the back-end to handle the data storage process. The porter and students' affairs officers will also be able to access and create student records with ease and regular update of student profile is enhanced when adopted. The usual practice of filing and procedures involved in students' registration and hostel accommodation in Lagos State University and other university was appraised for efficiency, economics and time management. The existing procedure was formed to be manually carried out. This is associated with inadequacies as more personnel are often required and a lot of times are wasted while the semester is on with lectures and other activities.

Application and implementation of HOSTEL MANAGEMENT SYSTEM: Case Study of Federal College of Education Obudu Cross River State Nigeria.

Miracle Atianashie

As the name specifies “HOSTEL MANAGEMENT SYSTEM” is software developed for managing various activities in the hostel. For the past few years the number of educational institutions is increasing rapidly. Thereby the number of hostels is also increasing for the accommodation of the students studying in this institution. And hence there is a lot of strain on the person who are running the hostel and software’s are not usually used in this context. This particular project deals with the problems on managing a hostel and avoids the problems which occur when carried manually. Identification of the drawbacks of the existing system leads to the development of computerized hostel management system for Catholic University College of Ghana that will be compatible to the existing system with the system which is more users friendly and more GUI oriented. We can improve the efficiency of the system, thus overcome the drawbacks of the existing hostel management system. Less human error, Strength and strain of manual labor can be reduced, High security, Data redundancy can be avoided to some extent, Data consistency, Easy to handle, Easy data updating, Easy record keeping, Backup data can be easily generated.

adjei emmanuel

There has been an astronomical increase in the number of educational institutions established especially in the last four decades all over the world. This development has brought education to the doorstep of people. Consequently it has increased knowledge and helped produce a population of enlightened citizens who can easily abide by the rules of civilized society and contribute meaningfully to the process of democratic governance. Most of the newly established educational institutions however, are using the old conventional techniques for managing their assets especially hostel facilities. This old techniques with its inherent limitations have impacted negatively on the overall organisational efficiency of this educational systems. In this paper, the development of an automated hostel accommodation management system is proposed. The codes for the automated system were developed using Visual Basic and Microsoft Access was used to develop the underlying database. It also has in-built authentication algorithm for preventing unauthorised access. The developed system overcomes the drawbacks of traditional methods of hostel management; it is more user-friendly, graphical-user-interface oriented, reliable, efficient and secured with access control mechanisms.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology

International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT

"eHostel" is an android application to automate the manual hostel management system of particular hostel associated with collage. It solves the important problems like room allocation, fee and fee receipt management, student management, complaint management, maintain visitor records, student leave management, and notice board. This application provides some additional facilities like secure user authentication, digital hostel pass, live notification, important form updates, user profile management.

NK INVESTMENT

Dieter Issler

RELATED PAPERS

Industrial & Engineering Chemistry Research

Rammile Ettelaie

wen-yaw chung

Ganesh Dutta

2021 IEEE Aerospace Conference (50100)

Joseph Paradiso

Satoshi Ishihara

Studia Linguistica Hungarica

Lilla P. Szabó

Bulletin of Electrical Engineering and Informatics

Revista de Estudios Andaluces

Xosé Somoza Medina

DESALINATION AND WATER TREATMENT

Scientific Reports

Sandeep Dumbali

The Arsenal: The Undergraduate Research Journal of Augusta University

Tammy Eboigbe

Clinical Hypertension

Alex Riolexus Ario

Luis Paterson

David Micheletti

JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN

sri mulatsih

Renewable Energy and Power Quality Journal

Néstor Aparicio

•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

Hostel Management

Ieee account.

• Change Username/Password
• Update Address

Purchase Details

• Payment Options
• Order History
• View Purchased Documents

Profile Information

• Communications Preferences
• Profession and Education
• Technical Interests
• US & Canada: +1 800 678 4333
• Worldwide: +1 732 981 0060
• Contact & Support
• About IEEE Xplore
• Accessibility
• Terms of Use
• Nondiscrimination Policy
• Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.