i-manager Publications

i-manager's Journal on Future Engineering and Technology (JFET)

Current Issue Vol. 19 Issue 1

A Comparative Thermodynamic Analysis of Organic Rankine Cycles (ORC) and Kalina Cycle for Low-Grade Energy Resources
Exergy Efficiency and Exergy Destruction Assessment of Heat Transfer and Fluid Flow through Spiral Passages using Source-Sink Model
Innovative Approach: Empowering Contextual Consulting in Industry 4.0 through a Hybrid Data Analytics Framework
Study of Corrosion and its Preventive Measures
Green Hydrogen Feasibility in Oman

Most Cited

Volume 18 Issue 3 April - June 2023

Research Paper

Enactment of NZEB by State of Art Techniques in Sultanate of Oman

Ninzo Thomas* , Mohammed Junaid Mouda, Ch. Venkateswara Rao*

*-*** Department of Electrical and Electronics Engineering, University of Technology and Applied Sciences, Salalah, Sultanate of Oman.

Thomas, N., Mouda, M. J., and Rao, Ch. V. (2023). Enactment of NZEB by State of Art Techniques in Sultanate of Oman. i-manager’s Journal on Future Engineering & Technology, 18(3), 1-9. https://doi.org/10.26634/jfet.18.3.19163

Abstract

The Sultanate of Oman, being a petroleum-producing country, depends on fossil fuels for the majority of its power production. The fossil fuel sources are on the verge of extinction if they are used at the current rate. Globally, buildings are expected to generate the energy they demand using renewable energy sources and, if possible, feed it to the grid. Zero Energy Buildings (ZEBs) and Near Zero Energy Buildings (NZEBs) are put into action for the above purposes. With an average global solar irradiation of 5.56 kWh/m2/day and an average wind speed of 6.58 knots, solar and wind are the primary renewable energy sources that can be yoked in Oman. The solar and wind power plants that are being built in Oman are following the Grid Code Operations as of 2020. Buildings in Oman, newer ones and old ones, are constructed using traditional building materials, leading to poor performance of the building's peripheral enclosure and little or no emphasis on sustainability. This has led to thermally bungling building envelopes in Oman, contributing to high energy consumption for lighting and cooling buildings, which invariably adds to global warming. Extensive use of fossil fuels has also escalated the average global surface temperature. The main aim of this paper is to analyze the design and development of ZEB/NZEB technology to be used in an educational institute in Salalah, Sultanate of Oman, incorporating state-of-the-art techniques in harnessing renewable energy sources with Battery Storage Systems (BSS), construction/modification and orientation of buildings towards energy-efficient buildings, smart and energy-efficient systems and appliances, HVAC approaches, and automated real-time conservation practices using Internet of Energy (IoE).

References

[1]. Chandanachulaka, N., & Khan-ngern, W. (2017, March). Design of zero energy consumption home system in Bangkok for energy efficient plan 2015. In 2017 International Electrical Engineering Congress (iEECON) (pp. 1-4). IEEE.

[2]. Gong, H., Rallabandi, V., Ionel, D. M., Colliver, D., Duerr, S., & Ababei, C. (2020). Dynamic modeling and optimal design for net zero energy houses including hybrid electric and thermal energy storage. IEEE Transactions on Industry Applications, 56(4), 4102-4113.

[3]. Hannan, M. A., Faisal, M., Ker, P. J., Mun, L. H., Parvin, K., Mahlia, T. M. I., & Blaabjerg, F. (2018). A review of internet of energy based building energy management systems: Issues and recommendations. IEEE Access, 6, 38997-39014.

[4]. Irfan, M., Abas, N., & Saleem, M. S. (2018, September). Net zero energy buildings (NZEB): A case study of net zero energy home in Pakistan. In 2018 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET) (pp. 1-6). IEEE.

[5]. Roekrai, N. C., & Khan-Ngern, W. (2020, October). Energy, economic, and environmental (3e) analysis of zero energy consumption building: A case study of Thai style mediation house. In 2020 International Conference on Power, Energy and Innovations (ICPEI) (pp. 117-120). IEEE.

[6]. Samarji, T., Jouni, A., & Karaki, A. (2012, November). Net zero energy buildings: Application in Lebanon on a typical residential building. In 2012 International Conference on Renewable Energies for Developing Countries (REDEC) (pp. 1-7). IEEE.

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[8]. Tabook, M., & Khan, S. A. (2021). The future of the renewable energy in Oman: Case study of Salalah City. International Journal of Energy Economics and Policy, 11(6), 517-522.

[9]. Todorovic, B. (2011, March). Towards zero energy buildings: new and retrofitted existing buildings. In 2011 IEEE 3rd International Symposium on Exploitation of Renewable Energy Sources (EXPRES) (pp. 7-14). IEEE.

[10]. Vergini, E. S., & Groumpos, P. P. (2015, July). A review on zero energy buildings and intelligent systems. In 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1-6). IEEE.

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Research Paper

Machine Learning to Predict Personality via CV

Tanuj Shankarwar*

Thakur College of Engineering and Technology, Maharashtra, India.

Shankarwar, T. (2023). Machine Learning to Predict Personality via CV. i-manager’s Journal on Future Engineering & Technology, 18(3), 10-17. https://doi.org/10.26634/jfet.18.3.19479

Abstract

Nowadays, the corporate world not only prioritizes an individual's skills but also their personality traits, as they play a crucial role in achieving success both professionally and personally. Therefore, recruiters must have knowledge of potential employees' personality traits. However, due to the significant increase in job seekers and the decline in job availability, it is challenging to manually select the most suitable candidate by just reviewing their resume. This analysis aims to explore various machine learning techniques for predicting personality traits effectively by analyzing resumes through Natural Language Processing (NLP) methods. The research demonstrates that the Random Forest algorithm outperforms other approaches such as k-Nearest Neighbors (kNN), Logistic Regression, SVM, and Naive Bayes in terms of accuracy.

References

[1]. Aydin, B., Kindiroglu, A. A., Aran, O., & Akarun, L. (2016, December). Automatic personality prediction from audiovisual data using random forest regression. In 2016 23rd International Conference on Pattern Recognition (ICPR) (pp. 37-42). IEEE.

[2]. Bai, S., Zhu, T., & Cheng, L. (2012). Big-five personality prediction based on user behaviors at social network sites. arXiv preprint arXiv:1204.4809.

[3]. Demetriou, A., Kyriakides, L., & Avraamidou, C. (2003). The missing link in the relations between intelligence and personality. Journal of Research in Personality, 37(6), 547-581.

[4]. Khan, A. S., Hussain, A., Asghar, M. Z., Saddozai, F. K., Arif, A., & Khalid, H. A. (2020). Personality classification from online text using machine learning approach. International Journal of Advanced Computer Science and Applications, 11(3), 460-476.

[5]. Kunte, A. V., & Panicker, S. (2019, October). Analysis of machine learning algorithms for predicting personality: Brief survey and experimentation. In 2019 Global Conference for Advancement in Technology (GCAT) (pp. 1-5). IEEE.

[6]. Pratama, B. Y., & Sarno, R. (2015, November). Personality classification based on Twitter text using Naive Bayes, KNN and SVM. In 2015 International Conference on Data and Software Engineering (ICoDSE) (pp. 170-174). IEEE.

[7]. Reza, M., & Zaman, M. (2017). Analyzing CV/Resume Using Natural Language Processing and Machine Learning (Doctoral dissertation, BRAC University).

[8]. Robey, A., Shukla, K., Agarwal, K., Joshi, K., & Joshi, S. (2019). Personality prediction system through CV analysis. International Research Journal of Engineering and Technology, 6(2), 1751-1753.

[9]. Sharma, K., & Kaur, A. (2015). Personality prediction of Twitter users with logistic regression classifier learned using stochastic gradient descent. IOSR Journal of Computer Engineering, 17(4), 39-47.

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[12]. Zubeda, J. A. A., Shaheen, M. A. A., Godavari, G. R. N., & Naseem, S. Z. M. S. (2016). Resume Ranking using NLP and Machine Learning (Doctoral dissertation, Anjuman-I-Islam's Kalsekar Technical Campus).

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Research Paper

Study on Usage of Tesla Valve as Heat Exchanger

Sri Ram Deepak Akella* , Reddy Bala Sai Sunder Naidu, Abbireddi Vinay Charan Reddy*

* Department of Mechanical Engineering, Pragati Engineering College, Kakinada Andhra Pradesh, India.

-* Department of Civil Engineering, Pragati Engineering College, Kakinada Andhra Pradesh, India.

Akella, S. R. D., Naidu, R. B. S. S., and Reddy, A. V. C. (2023). Study on Usage of Tesla Valve as Heat Exchanger. i-manager’s Journal on Future Engineering & Technology, 18(3), 18-28. https://doi.org/10.26634/jfet.18.3.19311

Abstract

The Tesla valve is appealing for drift control and rectification in mini and microfluidic applications due to its passive operation and no-shifting-elements design. The effectiveness of such valves may be increased through their in-series association. In this study, a new Tesla-type valve is effectively designed to improve the amount of heat transfer by facilitating circulation. The Tesla valve is a one-way valve without a moving component that lets the fluid flow effortlessly in a single direction, but presents a very high impedance in the opposite direction. The present study deals with a numerical analysis of the Tesla valve design for the optimal amount of heat transfer. For this purpose, the Taguchi layout optimization approach is considered for the simulation by creating a Design of Experiments (DOE) array. The factors considered are heat flux, velocity, and type of flow, with three levels each. The design is done in SOLIDWORKS, and the simulation is performed in Analysis of Systems (ANSYS). The inlet temperature of the fluid is 22.75 °C, and water is considered the working fluid. The result of the simulation shows that the design with an inlet velocity of 0.25 m/sec and a backward flow type provides the highest heat input of 45000 W/m² .

References

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[14]. Mohammadzadeh, K., Kolahdouz, E. M., Shirani, E., & Shafii, M. B. (2013). Numerical Investigation on the effect of the size and number of stages on the Tesla microvalve efficiency. Journal of Mechanics, 29(3), 527-534.

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[22]. Thompson, S. M., Jamal, T., Paudel, B. J., & Walters, D. K. (2013, November). Transitional and turbulent flow modeling in a tesla valve. In ASME International Mechanical Engineering Congress and Exposition (Vol. 56321, pp. 7). American Society of Mechanical Engineers.

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Research Paper

On Demand Home Services (Servizio)

Shubham Yadav* , Rupesh Tiwari, Bhimsen Tiwari*, Vikas Singh****

*-**** Department of Computer Engineering, Thakur College of Engineering and Technology, Mumbai, India.

Yadav, S., Tiwari, R., Tiwari, B., and Singh, V. (2023). On Demand Home Services (Servizio). i-manager’s Journal on Future Engineering & Technology, 18(3), 29-37. https://doi.org/10.26634/jfet.18.3.19496

Abstract

This research paper focuses on the on-demand home services industry and proposes enhancements for existing apps on the market. The market analysis reveals the rapid growth of the on-demand services market and identifies the challenges faced by customers and service providers. The user experience of existing apps on the market highlights the need for a more seamless and user-friendly platform. The literature review and related work provide insights into the features, technologies, and business models used in on-demand service apps. The proposed work suggests adding features such as real-time tracking, seamless payment integration, and personalized recommendations to enhance the user experience. The technological aspects of the proposed features are discussed, and the potential social impact of the app is evaluated. The summarized results and future enhancements, including the integration of AI and machine learning algorithms for personalized service recommendations are discussed. Overall, the proposed enhancements could offer a better experience for users and help on-demand home service providers stay competitive in the rapidly growing market.

References

[1]. Alemi, F., Circella, G., Handy, S., & Mokhtarian, P. (2018). What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California. Travel Behaviour and Society, 13, 88-104.

[2]. Alonso-González, M. J., Hoogendoorn-Lanser, S., van Oort, N., Cats, O., & Hoogendoorn, S. (2020). Drivers and barriers in adopting Mobility as a Service (MaaS)–A latent class cluster analysis of attitudes. Transportation Research Part A: Policy and Practice, 132, 378-401.

[3]. Branstad, A., & Solem, B. A. (2020). Emerging theories of consumer-driven market innovation, adoption, and diffusion: A selective review of consumer-oriented studies. Journal of Business Research, 116, 561-571.

[4]. Chen, P. Y., & Wu, S. Y. (2013). The impact and implications of on-demand services on market structure. Information Systems Research, 24(3), 750-767.

[5]. Delgosha, M. S., & Hajiheydari, N. (2020). Ondemand service platforms pro/anti adoption cognition: Examining the context-specific reasons. Journal of Business Research, 121, 180-194.

[6]. Geissdoerfer, M., Vladimirova, D., & Evans, S. (2018). Sustainable business model innovation: A review. Journal of Cleaner Production, 198, 401-416.

[7]. Mandler, T., Sezen, B., Chen, J., & Özsomer, A. (2021). Performance consequences of marketing standardization/ adaptation: A systematic literature review and future research agenda. Journal of Business Research, 125, 416-435.

[8]. Sivathanu, B. (2019). An empirical study of service quality, value and customer satisfaction for on-demand home services. International Journal of Information Systems in the Service Sector (IJISSS), 11(4), 35-57.

[9]. Suri, S., & Watts, D. J. (2011). Cooperation and contagion in web-based, networked public goods experiments. PloS One, 6(3), e16836.

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Review Paper

Corrosion and Wear Behavior of Metal Matrix Composites

Rakesh Kumar* , Harsh Thakur, Mohit Kumar, Gaurav Luthra, Santosh Kumar

, Department of Regulatory Affair, Auxein Medical Pvt Ltd, Sonipat, Haryana, India.

Department of Quality Assurance, Auxein Medical Pvt Ltd, Sonipat, Haryana, India.

Department of Clinical Research, Auxein Medical Pvt Ltd, Sonipat, Haryana, India.

* Department of Mechanical Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India.

Kumar, R., Thakur, H., Kumar, M., Luthra, G., and Kumar, S. (2023). Corrosion and Wear Behavior of Metal Matrix Composites. i-manager’s Journal on Future Engineering & Technology, 18(3), 38-53. https://doi.org/10.26634/jfet.18.3.19400

Abstract

One of the most significant classes of engineering materials in the modern period is Metal Matrix Composites(MMCs). In recent years, MMCs have attracted a lot of attention. MMCs are displacing traditional metallic materials in the automobile and aerospace industries owing to their numerous advantageous characteristics, which include low weight, high specific strength, good wear resistance, enhanced resistance to creep, etc. MMCs aid in improving the functionality of industrial parts without adding extra weight to the system. Despite the fact that several distinct types of MMCs have been created over the years, aluminum and magnesium MMCs have emerged as the most promising materials in the aerospace and automotive fields due to their improved tribological performance, low weight, and excellent mechanical properties. However, there are a number of factors that are divided into three categories that affect the tribological behavior of these MMCs, including the reinforcement material (volume fraction, reinforcement type, shape), the operating conditions (sliding speed, normal load), and the environmental conditions (relative humidity and temperature). This study seeks to give a thorough review of the history, categorization, materials, and applications in many fields, as well as the distinct tribological and corrosion behavior of the Al/Mg MMCs under various situations. To pave the way for future researchers working in these sectors, it also outlines the methods and properties used in the study.

References

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[34]. Kumar, R., & Kumar, S. (2018). Comparative parabolic rate constant and coating properties of nickel, cobalt, iron and metal oxide based coating: A review. i-manager's Journal on Material Science, 6(1), 45-56.

[35]. Kumar, R., Kumar, M., & Chohan, J. S. (2021a). The role of additive manufacturing for biomedical applications: A critical review. Journal of Manufacturing Processes, 64, 828-850.

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