The paper explores the amalgamation of two domains i.e., Machine Learning & Augmented Reality with the central focus on education for kids from the age group 3-5 specifically. AR is a tool that can soar the rate of interaction and learning efficiency, which puts into practice their imagination. Alphabets are the building blocks of any language. This application encourages preschool students to have an understanding of letters, how to write it, their corresponding pronunciations, objects related to the letters i.e. 3D model, there is incorporation of sign language to make it user friendly it is designed to help kids with cognitive challenges and children with hearing and speaking aid. This application has handwriting analysis using OCR, the user also has an option to take a live photo of the object they want to identify which will be identified using Machine Learning (ML), the corresponding 3D model will be augmented along with the pronunciation and sign language. The software used in this application are Unity 3D, Android Studio, ARCore.

Keywords: Machine Learning (ML), Augmented Reality (AR), OCR, Education, Unity 3D.

[1]. Paul Milgram, Haruo Takemura, Akira Utsumi and Fumio Kishino, "Augmented Reality: A class of displays on the reality-virtuality continuum", Proceedings of Telemanipulator and Telepresence Technologies, SPIE vol. 2351, pp. 282-292, October 1994.
[2]. Paul Milgram and Fumio Kishino, "Taxonomy of Mixed Reality Visual Displays," IEICE Transactions on Information Systems (IECE special issue on networked reality), vol. E77-D, no. 12, pp. 1321-1329, December 1994.
[3]. Tobias H. Hollerer and Steven K. Feiner, "Mobile Augmented Reality", Tele Geoinformatics: Location-Based Computing and Services, H. Karimi and A. Hammad (eds.), Taylor & Francis Books Ltd., 2004.
[4]. Tobias Sielhorst, Marco Feuerstein, Nassir Navab, " Advanced Medical Displays: A Literature Review of Augmented Reality", Journal of Display Technology, vol. 4, pp. 451-467, December 2008. Yoshitaka Masutani, Takeyoshi Dohi, Fumitaka Yamane, Hiroshi Iseki and Kintomo Takakura, "Augmented Reality Visualization System for Intravascular Neurosurgery", Journal of Computer Aided Surgery, vol. 3, pp. 239-247, October 1998.
[5]. Alexander Bornik, Reinhard Beichel, Bernhard Reitinger, Georg Gotschuli, Erich Sorantin, Franz W. Leberl and Milan Sonka, "Computer-aided liver surgery planning:an augmented reality approach", Proceedings SPIE 5029, Medical Imaging:Visualization, Image-Guided Procedures and Display, May 2003..

Background: The present study addresses the initial diagnosis of small, medium, and large enterprises in the city of Barranquilla, Colombia, with regards to the knowledge of Logistics 4.0, and elements that make its implementation difficult at an organizational level. For this research, a designated and validated survey applicable to the described enterprise types was used. Materials and Methods: The methodology utilized for the survey application was as follows: scheduled visits were made to each one of the organizations selected, which facilitated gathering of the desired information; then, the data collected were entered into a software program called SPSS version 25.0, which performed a multivariable statistical analysis and issued conclusions on the knowledge level of the tools related to Logistics 4.0.......

Keywords: Logistics 4.0, Industry, Statistic Analisys

[1]. Industry 4.0 Deloitte ag. https://www2.deloitte.com/content/dam/Deloitte/ch/Documents/manufacturing/ch-en-manufacturing-industry-4-0-24102014.pdf/ Challenges and solutions for digital transformation and use of exponential technologies, last accessed 2021/03/03.
[2]. Ynzunza, C., Izar, J., Bocarando, J., Larios, M.: Implications and perspectives of industry 4.0, Magazine Technology Awareness 2(54), 33-45 (2017).
[3]. Vasja, R., Maja, M., Alojz, K.: A complex view of industry 4.0, Sage Open 2(2), 1-11 (2016).
[4]. Heiner, L., Peter, F., Thomas, F., Michael, H.: Industry 4.0, Business & Information Systems Engineering 6(4), 239-242, (2014).
[5]. Gasca, G., Machuca, L.: Age of the Fourth Industrial Revolution, RISTI – Magazine Iberian Systems Information Techonology 1(34), 11-15, (2019).

"Rapid urbanization puts growing stress on transportation infrastructure which is already burdened". Big data has arisen to explain the vast amount of data available in a variety of fields, a lot of new data is being poured into the project to find out how much travel demand and infrastructure productivity. A survey is very expensive and time-consuming in the current transport scenario. It's complicated, instead of doing large data analysis to render the origin-destination matrix. We may render a journey matrix for a specific road using the OD matrix and geospatial elements. When data is collected, you might be able to conduct the operation in-office, rather than visiting the website. Primary data sources..........

Keywords: Smart Transportation; Bigdata; QGIS; Census population; Public Transport

[1]. Jameson L. Toole,Serdar Colak, Bradley Sturt, Lauren P. Alexander, Alexandre Evsukoff, Marta C. González, Travel demand estimation using big data resources, Elsevier Ltd, 2015
[2]. Enzo Fabbiani, PabloVidal, Renzo Massobrio, and Sergio Nesmachnow, Distributed Big Data analysis for mobility estimation in Intelligent Transportation Systems, Latin American High-Performance Computing Conference, 2016.
[3]. P. Gaudette, R.Chapleau, & T. Spurr, Bus Network Microsimulation with General Transit Feed Specification and Tap-in-Only Smart Card Data, Transportation Research Board, 2016.
[4]. Koutsopoulos, Noursalehi, Zhu, & Wilson, Automated data in transit: Recent developments and applications, IEEE, 2017.
[5]. Z Dai, X Ma, X Chen, Bus travel time modeling using GPS probe and smart card data, Journal of Intelligent Transportation Systems

Prostate cancer is the second driving reason for a malignant growth in deaths among men. Medical imaging contributes a lot in the therapeutic discipline due to the fact of its wide use in disease analysis and treatment of patients. In this paper, we present the Random Walker algorithm that incorporates the intensity features in prostate MR images and its shape variability to overcome challenges. The RW algorithm was developed for interactive segmentation allow the user to pre-segment small seeds in the foreground and background of the prostate region. From the seeds, the algorithm computation would then carry out the entire segmentation based on graph theories..........

Keywords: Atlas-based segmentation, Image Segmentation, Magnetic Resonance Imaging segmentation, Random Walker.

[1] F. Bray, J. Ferlay, I. Soerjomataram, R. L. Siegel, L. A. Torre, and A. Jemal, "Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries," CA. Cancer J. Clin., vol. 68, no. 6, pp. 394–424, 2018, doi: 10.3322/caac.21492.
[2] Z. Khazaei, M. Sohrabivafa, V. Momenabadi, L. Moayed, and E. Goodarzi, "Global cancer statistics 2018: Globocan estimates of incidence and mortality worldwide prostate cancers and their relationship with the human development index," Adv. Hum. Biol., vol. 9, no. 3, p. 245, 2019, doi: 10.4103/2321-8568.262891.
[3] Z. Tian, L. Liu, and B. Fei, "A fully automatic multi-atlas based segmentation method for prostate MR images," vol. 9413, pp. 1–7, 2015, doi: 10.1117/12.2082229.
[4] J. Egger, "PCG-Cut: Graph Driven Segmentation of the Prostate Central Gland," PLoS One, vol. 8, no. 10, pp. 1–6, 2013, doi: 10.1371/journal.pone.0076645.
[5] J. E. Iglesias and M. R. Sabuncu, "Multi-atlas segmentation of biomedical images: A survey," Med. Image Anal., vol. 24, no. 1, pp. 205–219, 2015, doi: 10.1016/j.media.2015.06.012

Background: The cost and availability of asphalt concrete filler materials have made pertinent the need for research into possible alternatives to conventional fillers for asphalt concrete production. Researchers have shown that the inclusion of mineral fillers in hot-mix asphalt concrete improved its mix design properties considerably. This research investigated the effect of Coconut shell ash on the durability and Elastic modulus of asphalt concrete, Materials and Method: An experimental approach was adopted to investigate the durability and elastic properties of asphalt concrete. Tests were carried out.......

Keywords: Durability, Elastic Modulus, Asphalt Concrete Coconut Shell Ash, Void Filler

[1]. Rahman, A, Ali, SA, Adhikary SK, and Hossain, QS. Effect Of Fillers On Bituminous Paving Mixes: An Experimental, Journal of Engineering Science. 2012, 3(1): 121-127.
[2]. Ting, TA, Jaya, RP, Hassan, NA, and Jayanti, DS. A Review of Utilization of Coconut Shell and Coco Fibre in Road Construction, Jurnal Teknologi (Sciences and Engineering), 2015, 76(14): 121-125.
[3]. Vitkar S, Khan, SMR, Shaikh, PR and Toke, M. Assessment of Suitability of Coconut Shell Ash as a Filler in Stone Mastic Asphalt, International Journal of Engineering Sciences and Management. 2017, 7(1):304-309.
[4]. Dung, SD, Assessment of Suitability of Coconut Shell Charcoal as a Filler in Stone Mastic Asphalt, Bachelor's Degree Project, Department of Civil Engineering, National Institute of Technology, Orissa, India. 2014
[5]. ASTM D5. Standard Terminology Relating to Materials for roads and Pavements. West Conshohocken, PA.: ASTM International, 2018.

A problem of initiation and propagation of a scattered destruction zone in a twisted isotropic solid shaft is considered. An incubation period formula is derived. A destruction front motion equation is obtained and solved.

Keywords: scattered destruction, damage, destruction front, incubation period.

[1]. Kachanov L.M. Fundamentals of fracture mechanics. M., Nauka; 1974, p.312
[2]. Suvorova Yu.V., Akhundov M.B. Delayed destruction of isotropic medium under complicated stress state conditions. Mashinovedenie, AN SSSR, 1986, №4, p.40-46

In this paper, the optimization of process parameters for the composting process in a batch reactor was performed. Optimized process parameters are airflow and the initial moisture content. The objective function for the optimization problem the maximization of degradation of organic matter is selected. The mathematical relation for the objective function was derived from experimental data and data obtained by numerical simulations. The experimental data of variables were fitted using the multiple regression analysis and found it was statistically significant.Experimental data include a wide range of values for airflow and initial moisture content, which give a maximum degradation of organic matter of 50.1% for a process that lasts (the longest) continuously for 23 days. The optimization problem was solved by applying nonlinear optimization within the Matlab programming package......

Keywords: Mathematical modeling, numerical optimization, process parameters, composting.

[1]. R. Atalia, M. Buha, A. Bhavsar, K. Shah, IOSR J. Environ. Sci., Toxicol. Food Technol. 9 (2015) 20-29. [2]. R. Külcü, O. Yaldiz, Ecol. Eng. 69 (2014) 220-225. [3]. LJ. Brewer, M. Sullivan, Compost Sci. Util. 2 (2003): 96-112. [4]. C. Ghinea, A. Leahu, Processes, 8 (2020) 302. [5]. MS. Jain, M. Daga, AS. Kalamdhad, Sustain. Environ. Res. 3 (2020) 302.

Based on the Halpin-Tsai approximate physical property model, using the von-Karman strain-displacement relationship, the governing equations of the graphene composite beam under damped time-delay are established. The Galerkin method is used to decouple and solve the equation. The linear stability region of the system under active control is analyzed theoretically. It is found that the area of the stability region gradually decreases with the increase of time delay, and the number of stability regions is finally reduced from theoretical n to one with the increase of control gain. The nonlinear numerical calculation gives the bifurcation response of the nonlinear system with time-delay, and it can very well confirm the theoretical results.

Keywords: Graphene; Nanocomposites; The first-order shear deformation beam theory; Active control; Stability

[1]. Balandin A A, Ghosh S, Bao W, et al. Superior thermal conductivity of single-layer graphene [J]. Nano Letters, 2008, 8(3): 902.
[2]. Du X, Skachko I, Barker A, et al. Approaching ballistic transport in suspended graphene [J]. Nature Nanotechnology, 2008, 3(8): 491-5.
[3]. Wu H, Yang J, Kitipornchai S. Dynamic instability of functionally graded multilayer graphene nanocomposite beams in thermal environment [J]. Composite Structures, 2017, 162(1):244-54.
[4]. Affdl J C H, Kardos J L. The Halpin‐Tsai equations: A review [J]. Polymer Engineering & Science, 1976, 16(5): 344–52.
[5]. Asghari M, Kahrobaiyan M H, Ahmadian M T. A nonlinear Timoshenko beam formulation based on the modified couple stress theory [J]. International Journal of Engineering Science, 2010, 48(12): 1749-61.

Lead is one of the most toxic heavy metals in industrial effluents which can hurt the environment and human health. Conventional methods for removing this metal from wastewater are often expensive and for this, a cheap and affordable method of purification is needed. The purpose of this study; the measurement of lead removal from aqueous solutions was using cobalt ferrite Nanocomposite coated with polyaniline. In this paper, cobalt ferrite Nanocomposite coated with polyaniline is prepared in a single container method and was examined and identified using scanning electron microscopy (SEM) and Fourier transform (FTIR) and pattern (XRD) infrared spectroscopy techniques. In a discontinuous process to achieve the maximum percentage of lead removal, the effect of pH parameters, adsorbent amount......

Keywords: Adsorption, Heavy metals, Nano sorbents, cobalt ferrite, polyaniline, lead.

[1]. Abu-Danso, E., Peräniemi, S., Leiviskä, T., Kim, T., Tripathi, K. M., & Bhatnagar, A. (2020). Synthesis of clay-cellulose biocomposite for the removal of toxic metal ions from aqueous medium. Journal of hazardous materials, 381, 120871. [2]. Modi, A., & Bellare, J. (2020). Zeolitic imidazolate framework-67/carboxylated graphene oxide nanosheets incorporated polyethersulfone hollow fiber membranes for removal of toxic heavy metals from contaminated water. Separation and Purification Technology, 249, 117160. [3]. Anito, D. A., Wang, T. X., Liu, Z. W., Ding, X., & Han, B. H. (2020). Iminodiacetic acid-functionalized porous polymer for removal of toxic metal ions from water. Journal of Hazardous Materials, 400, 123188. [4]. Priyadarshanee, M., & Das, S. (2020). Biosorption and removal of toxic heavy metals by metal tolerating bacteria for bioremediation of metal contamination: A comprehensive review. Journal of Environmental Chemical Engineering, 104686.

Models for predicting catalytic conversion of SO2 to SO3 were developed. The models were developed from the first principle using conservation of mass and energy respectively and the developed model is a set of ordinary differential equation that were solved using ODE 45 solver of MatLab and validated with literature data. The result yielded a minimum percentage absolute error (deviation) between predicted models and literature data of 4.20% and 5.00% for fractional conversion and temperature respectively. These shows that the model developed predicted the output of SO2 catalytic conversion very closely. The developed models were used to study the effect of process parameters such as fractional conversion (concentration) and temperature (inlet and outlet) along the reactor length for adaiabatic fixed bed reactor at steady state.

Keywords: Adiabatic Fixed Bed. Steady State modeling, SO2, SO3, MatLab ODE45 Solver

[1]. Kiss A. A., Bildea, C. S., & Grievink, J. (2010). Dynamic Modeling and Process Optimization of an Industrial Sulfuric Acid Plant. Chemical Engineering Journal, 158, 2, 241–249.
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Based on the theory of sampling error and confidence interval of multi-cup uniform flux anchor application test results, the corresponding numerical calculation method was given. The effect law of confidence level, numbers of sampling measurement wells and single well production parameter fluctuations on sampling error of multi-cup uniform flux anchor application test results was analyzed. According to the calculation method mentioned above, the sampling error and confidence interval of average daily fluid production, oil production and submergence in the first month of 190 anchor wells in the oil production company was calculated, so as to realize the statistical error evaluation of multi-cup uniform flux anchor application test results.

Keywords: Sampling error; Confidence interval; Error transfer; Influence factor; Error evaluation

[1]. Luo Wenyin, Niu Ruiyun, Zhang Jifeng, et al. KPX series downhole eccentric gas separator [J]. Petroleum machinery,2003, 31(3): 29～37.
[2]. Gu Zhihong, Shen Lei. Downhole oil-water separation and reinjection double action pumping system [J]. Petroleum machinery,2001, 29(6): 52～54.
[3]. Gong Lian Xi, Li Zhi Sheng, Li Ji Rui. Development and application of eccentric gas anchor [J]. Petroleum field machinery, 2003, 32(1): 43～44.
[4]. Bo Qiwei, Zhang Qi, Lin Bo, et al. Design and analysis of spiral downhole oil gas separator [J]. Petroleum machinery, 2003, 31(1): 8～10.
[5]. Li Yuanji, Zhu Jie, Zhang Liju, et al. Development of Jia Min type screen gas anchor [J]. Petroleum machinery,2004, 32(8): 59～60.

As technology advances in the modern world, it has an impact on the lives of the visually impaired. A lot of products are brought in to help them, to make their lives easier. Smart Assistant for Visually Impaired (SAVI) is one such device that contains various available technologies and integrates them into a multipurpose device that can be used by visually impaired people. It supports both the legally blind and completely blind category of visually impaired people. The drawback of the existing products is that they are very costly. It also does not provide a mechanism to alert the user's well-wishers during a time of emergency. The aim is to build a system that will be compatible in all aspects as.........

Keywords: object detection and recognition, route navigation, Audio input and feedback, SOS, smart assistant, visually impaired.

[1] I. Joe Louis Paul, S. Sasirekha, S. Mohanavalli, C. Jayashree, P. Moohana Priya and K. Monika, "Smart Eye for Visually Impaired-An aid to help the blind people," 2019 International Conference on Computational Intelligence in Data Science (ICCIDS), Chennai, India, 2019, pp. 1-5, doi: 10.1109/ICCIDS.2019.8862066.
[2] V. Singh, S. Sindhu and R. Arora, "BUZZFEET: Blind Man Shoes," 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India, 2019, pp. 356-359, doi: 10.1109/COMITCon.2019.8862205.
[3] L. Albraheem et al., "Third Eye: An Eye for the Blind to Identify Objects Using HumanPowered Technology," 2015 International Conference on Cloud Computing (ICCC), Riyadh, 2015, pp. 1-6, doi: 10.1109/CLOUDCOMP.2015.7149661.
[4] A. Khan, A. Khan and M. Waleed, "Wearable Navigation Assistance System for the Blind and Visually Impaired," 2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), Sakhier, Bahrain, 2018, pp. 1-6, doi: 10.1109/3ICT.2018.8855778.
[5] M. Kandil, R. AlBaghdadi, F. AlAttar, and I. Damaj, "AmIE: An Ambient Intelligent Environment for Assisted Living," 2019 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, 2019, pp. 1-6, doi: 10.1109/ICASET.2019.8714499.