International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 8 - Issue 8, August 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Brain Emulation Machine Model For Communication

[Full Text]



Lakshita Aggarwal, Deepak Chahal, Latika Kharb






Artificial intelligence revolves around our lives in each way. It is merely the act of intelligence of humans to make their machines that smart and intelligent so that machines start behaving like a man and even more intelligently. Machines were made in history for reducing human labour but now in recent civilizations machines serve the dual purpose resulting in reducing manual and mental labour both for humans. AI plays great role from the computations till the reminders for daily routine tasks. It interacts with the outer environment making the devices to act intelligently. AI has entered in each and every place the sensor networks are bringing a changing phase from virtual reality to the reality especially in areas such as healthcare, military, forecasting seismic activity in volcanoes, smart cities, remote monitoring, cloud services and many more. These sensors and intelligent devices with the integration of IoT even have entered in the utilities such as smart phones, gadgets and many more. This paper basically focuses on the aspects of AI, independent machine models which just take pixels of input data and process those pixels to produce the relevant output. It also focuses on how the brain emulate the images and how hierarchical answering of requests occur by understanding their relevant meanings to produce a positive reply for the same. The focus is given on content rather than context making it a relevant information transforming it from the raw data sets enabled in communication and networking. In the paper, we have also used a simulator software to simplify the concept of how to generate and analyze images in a efficient manner.



[1]. R. Dasoriya, J. Rajpopat, R. Jamar and M. Maurya, "The Uncertain Future of Artificial Intelligence," 2018 8th International Conference on Cloud Computing, Data Science & Engineering Noida, 2018, pp. 458-461.doi: 10.1109/CONFLUENCE.2018.8442945
[2]. Kharb, L. A Perspective View on Commercialization of Cognitive Computing. In 2018 8th International Conference on Cloud Computing, Data Science & Engineering, IEEE.
[3]. V. M. Petrović, "Artificial Intelligence and Virtual Worlds – Toward Human-Level AI Agents," in IEEE Access, vol. 6, pp. 39976-39988, 2018. doi: 10.1109/ACCESS.2018.2855970
[4]. Abdellatief, M., Sultan, A. B. M., Ghani, A. A. A., & Jabar, M. A. (2013). A mapping study to investigate component-based software system metrics. Journal of systems and software, 86(3), 587-603.
[5]. Lo, A. W. (2019). Comment on Michael I. Jordan’s “Artificial Intelligence—The Revolution Hasn’t Happened Yet”. Harvard Data Science Review.
[6]. Song, H., Triguero, I. & Özcan, E. Programming Artificial Intelligence (2019) 8:143. https://doi.org/10.1007/s13748-019-00185-z
[7]. Bhhatarai, B., Walters, W. P., Hop, C. E., Lanza, G., & Ekins, S. (2019). Opportunities and challenges using artificial intelligence in ADME/Tox. Nature materials, 18(5), 418.
[8]. H. Zhao, X. Xu, S. Chen and B. Luo, "Segmentation of Brain MR Images Based on T-Mixture Model," 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, Beijing, 2009, pp. 1-4.doi: 10.1109/ICBBE.2009.5163370
[9]. https://www.mcgill.ca/bic/software/brainweb-mri-simulator
[10]. https://en.datatang.com/en/index
[11]. K. Irshat, R. Petr and R. Irina, "The Selecting of Artificial Intelligence Technology for Control of Mobile Robots," 2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), Vladivostok, 2018, pp. 1-4.doi: 10.1109/FarEastCon.2018.8602796