Mines provide a contribution that is being completed in terms of social, project and economic aspects of human beings.The use of steam power in the emergence and development of the first industrial revolution has increased the importance of mines. In this period, large factories were built and the transition to mechanical production was made. With the machines starting to replace the workforce, production was carried out in a fast, high quality, flexible and cheap way and there was an increase in productivity. On the other hand, explosions, mining accidents, steam boiler explosions have occurred as a result of poor working conditions and inadequate occupational health and safety conditions.In order to create a safer working environment, regular maintenance of the machines and equipment has started.

[1]. Akkuşcu, H.İ. (2019). The Effect of Industry 4.0 on Working Life: The Case of Bursa. Bursa Uludag University SBE Study Department of Economics and Industrial Relations, Department of LaborEconomics and Industrial Relations, Master's Thesis, Bursa. [2]. Banger, G. (2016). Internet of Things and Smart Factory. Access: Internet of Things and Smart Factory, bizobiz.net, Access Date: October 1, 2021).

[3]. Bilim N., Dursun A.E., Bilim A., (2015). General evaluation of work accidents related to mining equipment and suggestions for solutions, Turkey 5th International Mining Machinery Symposium and Exhibition, Eskişehir-Turkey, 1-12, 1-2 October

[4]. Bilim, N., Dündar, S. ve Bilim, A., (2018). of Occupational Accidents and Occupational Diseases in the Mining Industry in Our Country. Analysis, BEÜ Journal of Science 7(2), 424p.

[5]. Bulut, E. ve Akçacı, T. (2017). Turkey Analysis in the Scope of Industry 4.0 and Innovation Indicators. ASSAM InternationalRefereed Journal, (7), 50-70s.

Examination fraud detection is an important research area in e-testing. Fraud detection and prevention ensure that the outcome of an examination being academic or professional meets actual capabilities of the candidates. Instead of depending on human efforts to monitor a real-life examination, computational techniques could be deployed to ensure a more effective invigilation process. Many cases of cheating in examinations involve the collusion of two or more individuals, especially based on the level of familiarity that may have existed before the examination. Hence an effective control system should strongly incorporate anti-collusion measures. The major contribution of the Matrix-Based Fraud Check......

Keywords: Fraud Detection, Random Algorithms, Matrix-Based, Watch List

[1]. Claire J. T., Ian M., Alexandre M. B., and Meeko O. 2003. Computational Techniques for the Verification of Hybrid Systems. Proceedings of the IEEE, Vol. 91, No. 7, p1-29
[2]. Eesha G., Abhilasha and Ankit A.. 2016. Fraud Detection Using Random Forest Algorithm, International Journal of Computer Science Engineering (IJCSE), Vol. 5, No. 5, pp. 268-272
[3]. Eze M.O. 2014. Computational Models for Examination Fraud Control Using Randomized Algorithms. The Proc. of Multi-Conf. on Society, Cybernetics & Infor. Jul. 15 - 18, Orlando, Florida.
[4]. Luisa S., Catarina C., Carlos A., Rui C. 2011. Computational Techniques and Validation of Blood Flow Simulation. WSEAS Trans. on Bio. & Biomedicine, Issue 4, Vol. 8, p145-155
[5]. Ahmed S.M, Beck B, Maurana C.A, Newton G. 2004. Overcoming Barriers to Effective Community-Based Participatory Research in US Medical Schools. Edu. for Health Vol. 17, No. 2, p141-151

Conventional rust paints though effective are expensive and highly toxic. On the other hand packaged water sachets are dumped indiscriminately and served as a source of contaminant to the environment. This research was focused on the possibility of recycling low density waster materials as anti-rust fluid for auto-chassis. The waste 'pure water sachets' polyethylene bags were gathered, sorted, washed, ground into small chips and several chemical additives like: toluene, acetone, benzene, xylene, potassium persulphate ,turpentine, kerosene, petrol and hydrogen perioxide were added to the ground low density polymer chips at different stages of the anti-rust formulation. The formulated anti-rust paint was tested and compared with the conventional anti-rust paint. The actual results tested on a piece of metal......

Keywords: Anti-rust, auto-chassis, fluid , paint, polymers waste, formulation.

[1]. Saidi, N.M.; Shafaamr A.; Wonnie Ma, .I.A; Subramaniam R.T; Blakrishnan, V. and Kasi, R. (2018)Development of anti-corrosion coatings using the disposable waste material. Pigment and Resin Technology 47(1)
[2]. Odewunni N.A.; Solomon. M.M; Umoren S.A. and Ali,S.A Comparative Studies of the Corrosion Inhibition Efficiency of Dicationic Monomer and its Polymer against APIX60 Steel Corrosion in Simulate Acidizing Fluid under Static and Hydrodynamic Conditions ACS Omega 2020, 5,42pp 27057-27071
[3]. Remove , Reduce and Recycle- Waste Nylon Sachet Water in Nigeria. Association of African Entrepreneurs Available: aaeafrica.org.deliv [21 June 2022)
[4]. Dwivedi, P; Mishra, P.K. and Srivastava, N. Non-biodegradable Polymer Wsate Pyrolysis for Energy Recovery Available: ncbi,nim.nih.gov (22 June, 2022).
[5]. Kaiser K.; Schmid, M.; Schlummmer, M Recycling of Polymer –Based Multi-layer Packaging:A Review .MDPI 22 December 2012 Available: https://doi.org/10.3390/recycling3010001

The main objectives of this paper is to investigate the effects of rotation and initial stress on Love wave propagation in an orthotropic elastic solid with impedance boundary conditions. Basic equations has been solved to derive the secular equations of Love wave propagation. Under MATLAB software, the frequency curves of Love waves are drawn for a particular solid material.

Keywords:Love waves, Orthotropic Solid, Initial stress, Impedance boundary conditions.

[1]. Love A. E. H., 1944. A treatise on the Mathematical Theory of elasticity, Dover Publications, New York, 4th edition, ISBN 9780486601748, 0486601749
[2]. Biot M. A., 1955. Theory of elasticity and consolidation for a porous anisotropic solid, Journal of Applied Physics, 26, 182-185. doi: 10.1063/1.1721956.
[3]. Biot M. A., 1956 a. Theory of deformation of a porous viscoelastic anisotropic solid , Journal of Applied Physics, 27, 459-467. https://doi.org/10.1063/1.1722402
[4]. Biot M. A., 1956 b. Theory of propagation of elastic waves in fluid saturated porous solid, Journal of the Acoustical Society of America, 28, 168-178. https://doi.org/10.1121/1.1908239
[5]. Abd-Alla A. M., 1999. Propagation of Rayleigh waves in an elastic half-space of orthotropic material, Applied Mathematics and Computation, 99 (1), 61-69. https://doi.org/10.1016/S0096-3003(97)10170-9

The Pyrox process is a process of gasifying solid waste which implements the phenomenon of fluidisation. The process is used to produce fuel gas from the waste which can be then combusted to produce energy. This fuel gas can thus be a greener and more economical alternative to other conventional fuel sources

Keywords:Fluidisation, Gasification, Pyrox process, Energy, Conventional fuel.

[1]. Kunii, D., &Levenspiel, O. (1991, April 30). Fluidization Engineering (H. Brenner, Ed.). Butterworth-Heinemann. https://doi.org/10.1604/9780409902334
[2]. Dechsiri, C. (2004). Particle Transport in Fluidized Beds: Experiments and Stochastic Models .s.n.
[3]. Hasegawa, M., Fukuda, J., & Kunii, D. (1979, January). Gasification of solid waste in a fluidized bed reactor with circulating sand. Conservation & Recycling, 3(2), 143–153. https://doi.org/10.1016/0361-3658(79)90004-3
[4]. Fuels - Higher and Lower Calorific Values. (n.d.). Fuels - Higher and Lower Calorific Values. Retrieved November 12, 2022, from https://www.engineeringtoolbox.com/fuels-higher-calorific-values-d_169.html

Sentiment analysis is an extremely important procedure these days for social Network analysis. Sentiment analysis or assessment mining is the procedure of consequently separating data from notions or suppositions of others about some subject or issue. We can recognize suppositions in a substantial unstructured/organized data and investigate extremity of sentiments. Twitter is a vast and quickly becoming small scale blogging long range informal communication site where individuals express their assessments in short and straightforward way of expressions. Tweets can be broke down to perform conclusion analysis on different substances. In this paper we concentrate on various methodologies.......

Keywords:Twitter, Sentiment analysis (SA), Social media, post.

[1]. Twitter as a Corpus for Sentiment Analysis and Opinion Mining Alexander Pak, Patrick Paroubek.
[2]. T.K Das, D.P Acharjya, M.R Patra, " Opinion mining about a product by analysing public tweets in twitter," IEEE Proceedings of International Conference on Computer Communication and Informatics (ICCI-2014), Jan 03-05, 2014, Coimbatore, India
[3]. A. Shrivatava, S. Mayor and B. Pant, "Opinion Mining of Real Twitter Tweets," International Journal of Computer Applications, Volume 100- No. 19, August 2014.
[4]. Anton Barhan, Andrey Shakhomirov, "Methods for Sentiment Analysis of Twitter Tweets," Proc. 12th Conference of Frucst Association (2012).
[5]. Shailesh Kumar Yadav, "Sentiment Analysis and Classification: A survey", International Journal of Advance Research in Computer Science and Management Studies, Volume 3, Issue 3, March 2015..