COVID-19, one small virus has shaken the entire world. According to IMF, the global economy is expected to shrink by over 3 percent in 2020 – the steepest slowdown since the Great Depression of the 1930s. It has caused impact on personal lives and corporate world. India’s first COVID -19 cases was registered on January 30, 2020. As on July 31, 2020 the number has skyrocketed to whopping 1.66 million. Indian Government imposed a nationwide lockdown from March 25, 2020. The lockdown caused panic buying among the customers. In metro cities people usually have a habit of buying their necessities including groceries online. Online retailers like Amazon, Flipkart, Grofers, Big Basket, etc. are the key players in online grocery market. The lockdown has also largely affected online retail sectors Due to shortage of stocks, lack of transport and lack of manpower the etailers were able to provide no service or limited service. .The pandemic has disturbed the trust, loyalty and satisfaction level of retail customers. This paper aims to portray an overview of customer experiences related to the services of online retailers during the pandemic. It is worthwhile to understand that retaining the existing customers indeed is a huge challenge for the retailers selling the groceries online during COVID-19, the retailers should remain in touch with their customers through their own sites, social media and other online platforms and express the concern and support in the dire pandemic situation. This shall help the customer have the sense of attachment. With COVID-19 becoming a new normal and the start of providing the services, the retailers should adapt and implement the guidelines issued by the government related to the safety hygiene and protection of their customers particularly related to the packing and delivery of the packages at the customers’ doorsteps.
Jyoti Meshram
Academic, TEAM University, Tashkent, Uzbekistan
**[1] Baker.C (2005). Weighing online marketing’s benefits. Multichannel News, 26(21), P. 91. [2] Bandyopadhyay, S., and Martell, M. (2007). Does attitudinal loyalty influence behavioral loyalty? A theoretical and empirical study. Journal of Retailing and Consumer Services, 14(1), 35-44. [3] Bisen, A., Singh P., & Anand, A. (2014). E-tailing in India: Unlocking the Potential. Technopak, 8, 1-17. [4] Bricci, L., Fragata, A., & Antunes, J. (2016). The effects of trust, commitment and satisfaction on customer loyalty in the distribution sector. Journal of Economics, Business and Management, 4(2), 173-177. [5] Gnanasambandam, C., Madgavkar, A., Kaka, N., Manyika, J., Chui, M., Bughin, J., & Gomes, J. (2012). Online and upcoming: The Internet’s impact on India. Gnanasambandam& Company, 1. [6] Hobbs, J. E. (2020). Food supply chains during the COVID‐19 pandemic. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, doi.org/10.1111/cjag.12237. [7] Jiang, L., Jun, M., & Yang, Z. (2016). Customer-perceived value and loyalty: how do key service quality dimensions matter in the context of B2C e-commerce?. Service Business, 10(2), 301-317. [8] Matopoulos, A., Didonet, S., Tsanasidis, V., & Fearne, A. (2019). The role of perceived justice in buyer–supplier relationships in times of economic crisis. Journal of Purchasing and Supply Management, 25(4), 100554. [9] Meuter, M., Ostrom, A., Roundtree, R., & Bitner, M. (2000). Self-service technologies: Understanding customer satisfaction with technology based service encounters. Journal of Marketing, 64, 50-64. [10] Rukuni, T. F., & Maziriri, E. T. (2020). Data on corona-virus readiness strategies influencing customer satisfaction and customer behavioural intentions in South African retail stores. Data in Brief, 31, https://doi.org/10.1016/j.dib.2020.105818. [11] Sharma, D.P. (2011) e-Retailing Principles and Practice. New Delhi, Himalaya Publication House., 13.Websites: [12] https://outofthesandbox.com/blogs/shopify-theme-blog/coronavirus-ecommerce [13] https://www.statista.com/ [14] https://vue.ai/blog/vuetag/product-data-retail-pandemic/ [15] https://www.worldometers.info/coronavirus/**
Jyoti Meshram "How COVID-19 affected the online grocery buying experiences-A study of select cities of Mumbai and Pune." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 11, November 2020, pp.01-05 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue11/01-05.pdf
C. N. Muoghalu, I. U. Uju, C. B. Mbachu·November 2020·pp. 06-12
This paper has presented performance response improvement of Automatic Voltage Regulator (AVR) using Linear Quadratic Gaussian Tuned Controller (LQGTC). The controller was designed using the Control and Estimation Tools Manager (CETM) LQG controller design method of the automatic tuning of the MATLAB/Simulink. The developed simulation model was completely designed as a single input single output (SISO) system for the two possible scenario of operation of an AVR closed loop system. The simulation results indicated that the introduction of the LQGTC was able to improve the time domain performance parameters for transient as well as steady state response, and generally reduced deviation error with effective tracking of desired terminal voltage. For the first case scenario called AVR\_sys1, the improvements achieved with the LQGTC were: rise time by 20%, the time to peak overshoot by 21%, percentage overshoot by 86%, and settling time by 60%. The second case scenario called AVR\_sys2 showed improvement in rise time by 26%, time to peak overshoot by 30%, percentage overshoot by 51%, and settling time by 62%. In order to validate the effectiveness of the LQGTC, different desired terminal voltage values were considered and the results obtained were the same as those from unit step input, which validated the capability of the proposed controller to provide improved, robust and effective contol for an AVR system.
C. N. Muoghalu
Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Nigeria
I. U. Uju
Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Nigeria.
C. B. Mbachu
Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Nigeria.
**[1]. Eswaramma, E. & Kaylan, G. S. (2017). An automatic voltage regulator (AVR) system control using P-I-DD Controller. International Journal of Advanced Engineering and Research Development, 4(6), 499-506. [2]. Bendjeghaba, O. (2014). Continuous firely algorithm for optimal tuning of PID controller in AVR system. Journal of Electrical Engineering, 65(1), 44.49. [3]. Shayeghi, H. & Dadashpour, J. (2012). Anarchic society optimization based PID Control of an Automatic Voltage Regulator (AVR) system. Electrical and Electronic Engineering , 2( 4), 199-207. DOI: 10.5923/j.eee.20120204.05 [4]. Kӧse, E., & Coşkun, S. (2020). Time-delay AVR system analysis using PSO-based PID controller. European Journal of Science and Technology, (18), 981-991. DOI: 10.31590/ejosat.717872 [5]. Bhat, V. K. & Bhongade, S. (2013). Desgn of PID controller in Automatic Voltage Regulator (AVR) system using PSO technique. International Journal of Engineering Reaserach and Application, 3(4), 1480-1485. [6]. Amer, M. L., Hassan, H. H. H. & Youssef, H. K. H. (2008). Modified evolutionary particle swarm optimization for AVR-PID tuning. Selected Papers from: Communications & Information Technology 2008, Circuits, Systems and Signals 2008, Applied Mathematics, Simulation, Modelling 2008, Marathon Beach, Attica, Greece, June 1-3, 2008. [7]. Omar, B. & Saida, I. B. (2014). Bat algorithm for optimal tuning of PID controller in an AVR system. International Conference on Control, Engineering & Information Technology (CEIT’14) Proceedings, 158-170. [8]. Rajnikanth, V. & Satapathy, S. C. (2015). Design of controller for Automatic Voltage regulator using teaching learning based optimization. Smart Grid Technologies, 21(2015), 295-302. doi: 10.1016/j.protcy.2015.10.032 [9]. Htay, M. & Win, K. S. (2008). Design and construction of Automatic Voltage Regulator for Diesel Engine Type Stand-alone Synchronous Generator. World Academy of Science, Engineering and Technology, (42), 652-658. [10]. Laxmi, N. I., Renu, Y. & Rameshwar, S. (2015). MATLAB Simulink based speed control of SEDC motor using ZNPID controller. International Journal of Science, Engineering and Technology Research, 4(8), 2963-2966. [11]. Eze, P.C., Ugoh, C. A. & Inaibo, D. S. (2020). Positioning control of DC servomotor-based antenna using PID tuned compensator. Journal of Engineering Sciences, in review.**
C. N. Muoghalu, I. U. Uju, C. B. Mbachu, "Performance Response Improvement of Automatic Voltage Regulator Using Linear Quadratic Gaussian Tuned Controller" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 11, November 2020, pp.06-12 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue11/06-12.pdf
Reshma J, Aishwarya B, Farheen Khanam Z M, G Sai Vennela, Lekhana A V·November 2020·pp. 13-17
The developments in technology over the years bring the support to drivers using smart vehicle systems. In past few years, there has been substantial increase in road accidents in India and worldwide as well. The most significant reasons for the same are drowsiness and fatigue. Therefore, driver drowsiness and fatigue detection is major possible area to prevent a large number of sleep induced road accidents. Considering this problem, this article proposes different methods for Driver Drowsiness Detection System applicable in motor vehicles. The system employed various applications using blink rate, eye closure and yawning to effectively and quickly identify the drowsiness of a driver while driving the vehicle and alarm the driver accordingly.
Reshma J
Associate Professor, Department of Computer Science & Engineering, B N M Institute of Technology, Bangalore, India
Aishwarya B
Student, Department of Computer Science & Engineering, B N M Institute of Technology, Bangalore, India
Farheen Khanam Z M
Student, Department of Computer Science & Engineering, B N M Institute of Technology, Bangalore, India
G Sai Vennela
Student, Department of Computer Science & Engineering, B N M Institute of Technology, Bangalore, India
Lekhana A V
Student, Department of Computer Science & Engineering, B N M Institute of Technology, Bangalore, India
**[1] S. R. Paul, NHTSA's Drowsy Driver Technology Program, 2005. [2] https://en.wikipedia.org/wiki/Driver\_drowsiness\_detection [3] Hitendra Garg Drowsiness Detection of a Driver using Conventional Computer Vision Application, 2020 International Conference on Power Electronics & IOT Applications in Renewable Energy and its control (PARC), Mathura, Uttar Pradesh, India. [4] Qaisar Abbas Hybrid Fatigue: A Real-Time Driver Drowsiness Detection using Hybrid Features and Transfer Learning, International Journal of Advanced Computer Science and Applications, Vol. 11, No. 1, 2020 [5] Shruti Mohanty, Shruti V Hegde, Supriya Prasad, J. Manikandan Design of Real-Time Drowsiness Detection System using Dlib, 2019 5th IEEE International WIE Conference on Electrical and Computer Engineering, 15-16 Nov 2019, Bangalore, India. [6] K. Sakthidasan, N. Vasudevan, V. Nagarajan Driver Drowsiness Detection using Percentage Eye Closure method, 2020 International Conference on Communication and Signal Processing, Chennai, India. [7] Wisaroot Tipprasert, Theekapun Charoenpong, Chamaporn Chianrabutra, Chamaiporn Sukjamsri A Method of Driver’s Eyes Closure and Yawning Detection for Drowsiness Analysis by Infrared [8] Camera, 2019 1st International Symposium on Instrumentation, Control, Artificial Intelligence and Robotics, Bangkok, Thailand. [9] Ratna Kaavya M, Ramya V, Ramya G Franklin Alert System for Driver’s Drwosiness using Image Processing, 2019 International Conference on Vision towards Emerging Trends in Communication and Networking, Vellore India, March 2019**
Reshma J, Aishwarya B, Farheen Khanam Z M, G Sai Vennela, Lekhana A V "A Survey on Driver Drowsiness Detection Techniques" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 11, November 2020, pp.13-17 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue11/13-17.pdf
Mrudula K, Harsh R Jain, Amogha R Chandra, Jayanth Bhansali·November 2020·pp. 18-23
This paper describes various methods for music recommendation based on facial expressions. Multiple music applications suggest music based on a user’s music history. But there has been some research going on for music recommendation using facial expressions/mood detection. Facial expression recognition requires image processing, which can be done using multiple algorithms, along with feature extraction, and classified into different emotions. Music genre classification requires audio processing and genres are classified based on certain audio features, and some classification algorithms. This survey paper describes and compares multiple algorithms, for the same.
Mrudula K
B.E, Computer Science & Engineering, B.N.M Institute of Technology, Bangalore, India
Harsh R Jain
B.E, Computer Science & Engineering, B.N.M Institute of Technology, Bangalore, India
Amogha R Chandra
B.E, Computer Science & Engineering, B.N.M Institute of Technology, Bangalore, India
Jayanth Bhansali
B.E, Computer Science & Engineering, B.N.M Institute of Technology, Bangalore, India
**[1]. What is Deep Learning? [Online]. https://www.investopedia.com/terms/d/deep-learning.asp [2]. Introduction to recommender systems. [Online]. https://towardsdatascience.com/introduction-to-recommender-systems-6c66cf15ada [3]. Audio Genre Classification with Python OOP. [Online]. https://towardsdatascience.com/audio-genre-classification-with-python-oop-66119e10cd05 [4]. Introduction to Music Recommendation and Machine Learning. [Online]. https://medium.com/@briansrebrenik/introduction-to-music-recommendation-and-machine-learning-310c4841b01d [5]. Lopes, Andre & Aguiar, Edilson & De Souza, Alberto & Oliveira-Santos, Thiago. (2016). Facial Expression Recognition with Convolutional Neural Networks: Coping with Few Data and the Training Sample Order. Pattern Recognition. 61. [6]. Wu Dan “Music Personalized Recommendation System Based on Hybrid Filtration” 2019 International Conference on Intelligent Transportation, Big Data and Smart City (ICITBS) [7]. K. K. K. M. M. D.Keerthana, “DEEP LEARNING BASED PERSONALIZED MUSIC RECOMMENDATION SYSTEM^”, IJAST, vol. 29, no. 3s, pp. 1072 - 1078, Mar. 2020. [8]. H. Immanuel James, J. James Anto Arnold, J. Maria Masilla Ruban, M. Tamilarasn, R. Saranya “Emotion Based Music Recommendation System” International Research Journal of Engineering and Technology (IRJET) March 2019 [9]. Samuvel, Deny and Perumal B., and Elangovan, Muthukumaran “Music Recommendation System Based on Facial Emotion Recognition” 3C Tecnologia, Glosas de innovacion aplicadas a la pymw Edicion Especial, Marzo 2020, 261-271 [10]. A. Elbir, H. Bilal Çam, M. Emre Iyican, B. Öztürk, and N. Aydin, "Music Genre Classification and Recommendation by Using Machine Learning Techniques," 2018 Innovations in Intelligent Systems and Applications Conference (ASYU), Adana, 2018, pp. 1-5 [11]. A. Alrihaili, A. Alsaedi, K. Albalawi, and L. Syed, "Music Recommender System for Users Based on Emotion Detection through Facial Features," 2019 12th International Conference on Developments in eSystems Engineering (DeSE), Kazan, Russia, 2019, pp. 1014-1019 [12]. A. Arora, A. Kaul, and V. Mittal, "Mood Based Music Player," 2019 International Conference on Signal Processing and Communication (ICSC), NOIDA, India, 2019, pp. 333-337**
Mrudula K, Harsh R Jain, Amogha R Chandra, Jayanth Bhansali "Music Recommendation Based on Facial Expression" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 11, November 2020, pp.18-23 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue11/18-23.pdf
In this study, the swelling properties of stabilized expansive soil samples were investigated under laboratory conditions. The pine tree sawdust was used as additive material for this experimental study. The pine tree sawdust is waste and organic material in terms of eco-friendly additive materials for soil stabilization. For this purpose, the consistency limit tests and vertical swelling tests were carried out under the laboratory conditions. According to the results of experimental study showed that the swelling behavior of pine tree sawdust-stabilized expansive soil samples positively changed. As a result, the pine tree sawdust played an important role in improving the swelling behavior of the expansive soils. Consequently, it was concluded that the pine tree sawdust can be successfully used to improve the swelling characteristics of expansive soils as an eco-friendly additive material.
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The place of expansive clays in the framework of unsaturated soil mechanics. Applied Clay Science 43 (2), 150–155. [8] Harvey, C.C., Murray, H.H., 1997. Industrial clays in the 21st century: a perspective of exploration, technology and utilization. Applied Clay Science 11, 285-310. [9] Huang, R., Wu, L., 2007. Stability analysis of unsaturated expansive soil slope. Earth Science Frontiers 14 (6), 129-133. [10] Indiramma, P., Sudharani, C., Needhidasan, S., 2020. Utilization of fly ash and lime to stabilize the expansive soil and to sustain pollution free environment - An experimental study. Materials Today: Proceedings 22, 694-700. [11] Ingles, O.G, Metcalf, J.B., 1977. Soil Stabilization Principles and Practice. 2nd ed, Australia Butterworths. [12] Ito, M., Azam, S., 2009. Engineering characteristics of a glaciolacustrine clay deposit in a semi-arid climate. Bulletin of Engineering Geology and the Environment 68, 551-557. [13] Ito, S.M., Azam, S., 2010. 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Necmi Yarbaşı, Ekrem Kalkan "The Swelling Properties of Modified Expansive soil with pine tree Sawdust" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 10, November 2020, pp.24-28 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue11/24-28.pdf
: The expansive soils in areas with seasonal frost are exposed to at least one freeze-thaw cycle every year. As a result of this affect, these soils lose their durability’s. To prevent the strength, loss of expansive soils, it is necessary to improve the freeze-thaw resistance of them. In this study, it was investigated the effects of pine tree sawdust on the freeze-thaw resistance of expansive soils as alternative additive material. For this purpose, the natural and stabilized expansive soil samples were exposed to the freeze-thaw cycles under laboratory conditions. Then, the samples unexposed and exposed to the freeze-thaw cycles were subjected to the unconfined compressive tests. The experimental results showed that the pine tree sawdust-stabilized samples with have higher freeze-thaw resistance as compared to unstabilized expansive soil samples. Consequently, it was concluded that pine tree sawdust can be successfully used as an additive material to improve the freeze-thaw resistence of expansive soils.
**[1] Abdulnafaa, M.T., Al-Khashab, M.N., 2009. The Effect of Organic Matter’s Content on the Engineering Properties of Expansive Soils Engineering and Technology Journal 28 (8), 318-334. [2] Akbulut, S., Saglamer, A., 2004. Modification of hydraulic conductivity in granular soils using waste materials. Waste Management 24, 491-499. [3] Anbu, P., Kang, C.-H., Shin, Y.-J., So, J.-S., 2016. Formations of calcium carbonate minerals by bacteria and its multiple applications. Springerplus 5 (1), 250. [4] Andersland, O.B., 1989. General report on mechanical properties of frozen soil. Proceedings of 5th International Symposium on Ground Freezing, I, pp. 433-441. [5] Arab, M.G., 2019. Soil Stabilization Using Calcium Carbonate Precipitation via Urea Hydrolysis. Proceedings of the 4th World Congress on Civil, Structural, and Environmental Engineering (CSEE’19), April, 2019, Rome, Italy. [6] Bozkurt, A.Y., 1986. Wood Technology. 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Necmi Yarbaşı, Ekrem Kalkan "The effect of pine tree sawdust on the freeze-thaw resistance of expansive soils " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 11, November 2020, pp.29-33 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue11/29-33.pdf
