Author Guidelines

Publications

Editorial

About

Archive Issue – Vol.2, Issue.4 (Oct-Dec 2022)

Archive Issue – Vol.2, Issue.4 (October-December 2022)


Study of IOT Based Smart Traffic Management System

Vanshika Patel, Viraj Shah, Dhyey Sampat, Ketki Balde, Divya Khushwah

Research Paper | Journal Paper

Vol.2, Issue.4, pp.1-05, Dec-2022

Abstract References Citation Download

Abstract

One of the significant challenges faced by major cities today is traffic management. The possible reason for this can be increasing number of vehicles, lack of infrastructures, improper roads, growing population etc. Increased accidents and pollution levels have been observed as most common problems in major cities. All this gives rise to the need of IOT based Traffic control system which continuously detects, monitors, and adjusts traffic signal timings according to traffic load. This paper describes Study of different methods for controlling and monitoring traffic.

Key-Words / Index Term: Smart Traffic management, Traffic Congestion, Internet of Things, Infrared Sensors, Traffic sensors, Traffic Density, Intelligent Signals.

References

    • Bhuvan S. T., Manjunath H. R., Abhiman H. R., Ranjan Kumar, & Sachin G. Rao. "International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering," Vol. 10, Issue 2, February 2022. Impact Factor: 7.047.
    • Sundar, R., Hebbar, S., & Golla, V. (2015). "Implementing intelligent traffic control system for congestion control, ambulance clearance, and stolen vehicle detection." IEEE Sensors Journal, 15(2), 1109-1113.
    • Chowdhury, A. (2016). "Priority based and secured traffic management system for emergency vehicle using IoT." In International Conference on Engineering & MIS (ICEMIS). IEEE.
    • Milanes, V., Villagra, J., Godoy, J., Simo, J., Pérez, J., & Onieva, E. (2012). "An intelligent V2I-based traffic management system." IEEE Transactions on Intelligent Transportation Systems, 13(1).
    • Shashank, S., Kiran, P., Nischay, D., Vinay Kumar, M., Vatsala, B. R., & Vidya Raj, C. (Dr.). "IoT Based Traffic Management System." International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT).
    • Sharma, P., & Goen, A. (2018). "Smart traffic control system using weighted data." International Conference on Advanced Computation and Telecommunication.
    • Lanke, N., & Koul, S. (2013). "Smart Traffic Management System." International Journal of Computer Applications, 75(7), August. ISSN: 0975–8887.
    • Gulati, I., & Srinivasan, R. (2019). "International Journal of Recent Technology and Engineering (IJRTE)." Vol. 8, Issue 2S4, July. ISSN: 2277-3878.
    • Miyim, A. M., & Alhaji, M. M. (2019). "Smart Traffic Management System." 15th International Conference on Electronics, Computer and Computation (ICECCO).
    • Nafea, H. J., & Nair, N. (2018). "Density Based Smart Traffic System with Real Time Data Analysis Using IoT." International Conference on Current Trends towards Converging Technologies (ICCTCT).

Citation

Vanshika Patel, Viraj Shah, Dhyey Sampat, Ketki Balde, Divya Khushwah "Study of IOT Based Smart Traffic Management System" International Journal of Scientific Research in Technology & Management, Vol.2, Issue.4, pp.1-05, 2022.

Effect of Irradiation on Quality and Shelf Life of Different Fruits and Vegetables: A Review

Vaishnavi Naik, Vandana Narayan

Research Paper | Journal Paper

Vol.2, Issue.4, pp.07-10, Dec-2022

Abstract References Citation Download

Abstract

Food irradiation exposes the food to various radiations and is a non-thermal, energychemical, and physical method of food preservation. By not negatively influencing a product's nutritional properties, it is utilized to increase the shelf life of that product. Irradiation techniques have been studied for fruits and vegetables to increase their shelf life and see their effect on quality. Irradiation is based on the application of different doses of radiation for processing. According to studies, irradiation has a good impact on the quality and shelf life of various fruits and vegetables. Although a promising, safe, and well technique, food irradiation is still not widely used. Innovative food processing technologies like food irradiation pose a challenge due to customer purchasing habits. As a result, the current analysis indicates that further research is required to establish the safety of irradiated food, and those efforts be made to raise the technological appeal of food safety. Aim of the present review article is to summarize the application of irradiation to fruits and vegetables and its effect on their quality and shelf life.

Key-Words / Index Term: Food irradiation, fruits and vegetables, shelf life, quality, radiation.

References

  1. Barbosa-Canovas, G. V., Pothakamury, U. R., & Palou, E. (1998). Non thermal preservation of foods. Marcel Dekker, New York.
  2. Alegbeleye, O., Odeyemi, O. A., Strateva, M., & Stratev, D. (2022). Microbial spoilage of vegetables, fruits and cereals. Applied Food Research.
  3. Salehi, F., & Kashaninejad, M. (2018). Mass transfer and colour changes kinetics of infrared-vacuum drying of grapefruit slices. International Journal of Fruit Science, 18, 394–409.
  4. Salehi, F. (2020). Recent applications and potential of infrared dryer systems for drying various agricultural products: a review. International Journal of Fruit Science, 20, 586–602.
  5. Jiang, Q., Zhang, M., & Xu, B. (2020). Application of ultrasonic technology in postharvested fruits and vegetables storage: a review. Ultrasonics Sonochemistry, 69.
  6. Barkai-Golan, R., & Follett, P. A. (2017). Irradiation for quality improvement, microbial safety and phytosanitation of fresh produce. Academic Press.
  7. Bisht, B., Bhatnagar, P., Gururani, P., Kumar, V., Tomar, M. S., Sinhmar, R., Rathi, N., & Kumar, S. (2021). Food irradiation: effect of ionizing and non-ionizing radiations on preservation of fruits and vegetables – a review. Trends in Food Science & Technology, 114, 372–385.
  8. Sommers, C., Fan, X., Niemira, B., & Handel, A. (2001). Effect of ionizing radiation on beef bologna containing soy protein concentrate. Journal of Food Safety, 21(3), 151–165. https://doi.org/10.1111/j.1745-4565.2001.tb00315.x
  9. Kader, A. (1986). Effects of postharvest handling procedures on tomato quality. Acta Horticulturae, 190, 209–222. https://doi.org/10.17660/actahortic.1986.190.21
  10. Susheela, K., Damayanti, M., & Sharma, G. J. (1997). Irradiation of Ananas comosus: Shelf-life improvement, nutritional quality and assessment of genotoxicity. Biomedical Letters, 56(223–224), 135–144.
  11. Drake, R., & Neven, L. G. (1998). Irradiation as an alternative to methyl bromide for quarantine treatment of stone fruits. Journal of Food Quality, 21(6), 529–538.
  12. Paull, R. E. (1996). Ripening behavior of papaya (Carica papaya L.) exposed to gamma irradiation. Postharvest Biology and Technology, 7, 359–370.
  13. Vanamala, J., Cobb, G., Loaiza, J., Yoo, K., Pike, L. M., & Patil, B. S. (2007). Ionizing radiation and marketing simulation on bioactive compounds and quality of grapefruit (Citrus paradisi c.v. Rio Red). Food Chemistry, 105, 1404–1411.

Citation

Vaishnavi Naik, Vandana Narayan, "Effect of Irradiation on Quality and Shelf Life of Different Fruits and Vegetables: A Review" International Journal of Scientific Research in Technology & Management, Vol.2, Issue.4, pp.07-10, 2022.

A Review on various CAPTCHA in the field of Web Security

Rupesh Sahu, Neelesh Jain, Devendra Rewarikar

Research Paper | Journal Paper

Vol.2, Issue.4, pp.11-15, Dec-2022

Abstract References Citation Download

Abstract

As a security test, CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) allows for the measurement of human and automated intervention. It is a form of test whereby the behaviour of the subject or the resolution of the issue allows for the detection of planned intervention. You may choose from a number of CAPTCHA challenges, including distorted strings, photo identification, audio, math, and gaming CAPTCHA. Comparatively speaking to other CAPTCHAs, game-based problems are engaging and extremely safe. Depending on the game, the player must utilize a drag-and-drop method or a click-based approach to solve an AI problem. The purpose of the study is to examine several CAPTCHA implementations, compare their flaws, and discuss security-related issues. Many CAPTCHAs employ click-based techniques, requiring the user to recognize the images based on their look and click appropriately. However, image processing methods like object classifiers may be used to bypass this type of CAPTCHA. Although it requires action or the solution of an intellectual issue, dragging an object to the desired location is an efficient method. Relay attacks may compromise the system if an item is automatically dragged to the target location.

Key-Words / Index Term:Web Security, Picture Recognition, Mathematics CATPCHA, Image Processing, Relay Attack

References

    1. Adapt, "CAPTCHA," 2018. [Online]. Available: https://www.adaptworldwide.com/insights/2018/the-evolution-of-captcha . [Accessed: 29-Jan-2022].
    2. S. Vikram, C. Yang, and G. Gu, "NOMAD: Towards non-intrusive moving-target defense against web bots," 2013 IEEE Conference on Communications and Network Security (CNS), pp. 55-63, 2013. doi: 10.1109/CNS.2013.6682692.
    3. C. Lei, "Image CAPTCHA technology research based on the mechanism of finger-guessing game," Third International Conference on Cyberspace Technology (CCT), pp. 1-4, 2015. doi: 10.1049/cp.2015.0843.
    4. I. F. Ince, Y. B. Salman, M. E. Yildirim, and T.-C. Yang, "Execution Time Prediction for 3D Interactive CAPTCHA by Keystroke Level Model," Fourth International Conference on Computer Sciences and Convergence Information Technology, IEEE, 2009.
    5. A. R. Aadhirai, P. J. S. Kumar, and S. Vishnupriya, "Image CAPTCHA: Based on Human Understanding of Real World Distances," Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, IEEE, 2012.
    6. N. Payal and R. K. Challa, "AJIGJAX: A hybrid image based model for Captcha/CaRP," 2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON), pp. 38-43, 2016. doi: 10.1109/UPCON.2016.7894621.
    7. A. Cakmak and M. Balcilar, "Audio Captcha Recognition Using RastaPLP Features by SVM," 2019.
    8. M. Aldwairi, S. Mohammed, and M. Padmanabhan, "Efficient and Secure Flash-based Gaming CAPTCHA," 2020.
    9. Z. Li and Q. Liao, "CAPTCHA: Machine or Human Solvers? A Game-Theoretical Analysis," 2018 5th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud) / 2018 4th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), pp. 18-23, 2018. doi: 10.1109/CSCloud/EdgeCom.2018.00013.
    10. P. Kirkbride, M. A. A. Dewan, and F. Lin, "Game-Like Captchas for Intrusion Detection," 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp. 312-315, 2020. doi: 10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00061.
    11. H. Yu and M. O. Riedl, "Automatic Generation of Game-based CAPTCHAs," 2015.
    12. S. Ezhilarasi and P. U. Maheswari, "Image Recognition and Annotation based Decision Making of CAPTCHAs for Human Interpretation," 2020 International Conference on Innovative Trends in Information Technology (ICITIIT), pp. 1-6, 2020. doi: 10.1109/ICITIIT49094.2020.9071558.
    13. J. Cui, L. Wang, J. Mei, D. Zhang, X. Wang, Y. Peng, and W. Zhang, "CAPTCHA Design Based on Moving Object Recognition Problem," IEEE International Conference, 2009.
    14. J. Cui, J. Mei, X. Wang, D. Zhang, and W. Zhang, "A CAPTCHA Implementation Based on 3D Animation," International Conference on Multimedia Information Networking and Security, IEEE, 2009.
    15. S. M. Reza, S. Beheshti, and P. Liatsis, "How Humans Can Help Computers to Solve an Artificial Problem Survey," IEEE International Conference, 2015.

Citation

Rupesh Sahu, Neelesh Jain, Devendra Rewarikar "A Review on various CAPTCHA in the field of Web Security" International Journal of Scientific Research in Technology & Management, Vol.2, Issue.4, pp.11-15, 2022.

A Review on Biometric Finger Knuckle-Print based Authentication System

Sonali Patel, Arun Jhapate

Research Paper | Journal Paper

Vol.2, Issue.4, pp.16-20, Dec-2022

Abstract References Citation Download

Abstract

Researchers are always on the move to innovate something new from their side. Such a work by researchers in the field of biometrics has led to identify the finger knuckle print as a biometric trait with distinct features. There are certain biometric parts such as fingerprint, iris, palm print and now knuckle print. Knuckle contains rich texture that is distinct for each fingers it selves. Knuckle has potential information that can differentiate persons uniquely. The motive of this paper to review most recently implemented systems on the basis of methodology which has been used by several researchers. Paper is also intended to acquire comparison over methods and results. There are several researches have been done till now, some of them are based on binary localization that may easily affected by the luminance. The most common filter which is generally used by researcher is Gabor filter which allows enhancing image as per the signal to noise ratio. But if an image is getting manipulated then it may lose originality that affects accuracy. If a system has false acceptance rate then the precision does not follow ideal system. System should have zero false acceptance and high false rejection rate along with true acceptance. Precision is based on high quality feature extraction that could be made by some image enhancement techniques.

Key-Words / Index Term: Knuckle-Print, SURF, Gabor Filter, Biometric and Binary Localization.

References

  1. Typical Finger Knuckle Print Image from Hong Kong Polytechnic University FKP Database .
  2. Amine Amraoui, Youssef Fakhri and Mounir Ait Kerroum, “Finger Knuckle Print Recognition System using Compound Local Binary Pattern,” 3rd International Conference on Electrical and Information Technologies (ICEIT 2017), IEEE.
  3. Jooyoung Kim, Kangrok Oh, Andrew Beng-Jin Teoh and Kar-Ann Toh, “Finger-Knuckle-Print for Identity Verification Based on Difference Images,” 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA).
  4. Arulalan V. and K. Suresh Joseph, “Score Level Fusion of Iris and Finger Knuckle Print,” 2016 10th International Conference on Intelligent Systems and Control (ISCO), IEEE.
  5. Farzam Kharaji Nezhadian and Saeid Rashidi, “Inner-knuckle-print for human authentication by using ring and middle fingers,” ICSPIS 2016, 14–15 Dec. 2016, Amirkabir University of Technology, Tehran, Iran, IEEE.
  6. E. O. Rodrigues, T. M. Porcino, A. Conci and A. C. Silvah, "A simple approach for biometrics: Finger-knuckle prints recognition based on a Sobel filter and similarity measures," 2016 International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava, 2016, pp. 1–4.
  7. Walairach Nunsong and Kuntpong Woraratpanya, “An Improved Finger-Knuckle-Print Recognition Using Fractal Dimension Based on Gabor Wavelet,” 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE), IEEE.
  8. Wafa El-Tarhouni, Larbi Boubchir and Ahmed Bouridane, “Finger-Knuckle-Print Recognition Using Dynamic Thresholds Completed Local Binary Pattern Descriptor,” 2016 39th International Conference on Telecommunications and Signal Processing (TSP), IEEE.
  9. I. S. Oveisi and M. Modarresi, "A feature level multimodal approach for palmprint and knuckleprint recognition using AdaBoost classifier," 2015 International Conference and Workshop on Computing and Communication (IEMCON), Vancouver, BC, 2015, pp. 1–7.
  10. Wafa El-Tarhouni, Muhammad K. Shaikh, Larbi Boubchir and Ahmed Bouridane, “Multi-Scale Shift Local Binary Pattern Based Descriptor for Finger-Knuckle-Print Recognition,” 2014 26th International Conference on Microelectronics (ICM), IEEE.

Citation

Sonali Patel, Arun Jhapate "A Review on Biometric Finger Knuckle-Print based Authentication System" International Journal of Scientific Research in Technology & Management, Vol.2, Issue.4, pp.16-20, 2022.