iosr-JCE   Volume-25 ~ Issue-4 ~ July - Aug. 2023

Abstract: i) Data which is known to be key asset for any enterprise has pivotal role in driving businesses decisions. ii) The technology advancement has open new avenues which has transformed the way we generate, consume or use data to derive value from it. iii) The speed at which data is generated is growing rapidly, which is quite complex, leading to advancement in the field of big data. "Big data" is a term used for massive data sets which have complex structure and cannot be handled by standard software or platforms. iv) The category of data.......

Keywords — Analytics Platforms, Artificial Intelligence, Big Data, Blockchain, Cloud Analytical Platforms, Data Architecture, Data Engineering, Data Lake, Digital, Ensembling, Hyperparameters, In-Memory, Internet of Things (IoT), Machine or Deep Learning, Master Data Management, Statistical Modelling

[1] Carl Matthew Dukatz, San Jose, CA ( US ); Daniel Garrison, Washington, MI ( US ); Lascelles Forrester, Conyers, GA ( US ); Corey Hollenbeck, Arlington, MA ( US ), "United States Patent Publication, No: US 2018 / 0308000 A1", Oct 2018
[2] Mrs. Bharati M. Ramageri, DATA MINING TECHNIQUES AND APPLICATIONS, ISSN : 0976-5166
[3] Danijela Efnusheva, Ana Cholakoska And Aristotel Tentov, "A SURVEY OF DIFFERENT APPROACHES FOR OVERCOMING THE PROCESSOR-MEMORY BOTTLENECK," In International Journal Of Computer Science & Information Technology (IJCSIT) Vol 9, No 2, April 2017.
[4] K. Siddardha, Ch. Suresh, "Big Data Analytics: Challenges, Tools And Limitations" International Journal Of Engineering And Technical Research (IJETR), ISSN: 2321-0869 (O) 2454-4698 (P), Volume-6, Issue-3, November 2016.
[5] Go Muan Sang, Lai Xu, Paul De Vrieze, "A Reference Architecture For Big Data Systems" Conference Paper From Researchgate.Net At Https://Www.Researchgate.Net/Publication/272027871 .

Abstract: Forensic identification plays a critical role in solving crimes and disasters where human remains may be incomplete or unidentifiable, making the development of accurate and reliable methods to determine the identity of unknown individuals essential. In this context, cranial tomography represents a promising tool that offers an innovative and detailed approach to the identification of cranial features. In this paper, a systematic review of the approaches and techniques of forensic identification using skull tomography is presented, examining their effectiveness, accuracy, and....

[1]. Murphy, M., Drage, N., Carabott, R., & Adams, C. (2012). Accuracy And Reliability Of Cone Beam Computed Tomography Of The Jaws For Comparative Forensic Identification: A Preliminary Study. Journal Of Forensic Sciences, 57(6), 1522-1527.
[2]. Silva, R. F., Botelho, T. L., Prado, F. B., Kawagushi, J. T., Daruge Júnior, E., & Beérzin, F. (2011). Human Identification Based On Cranial Computed Tomography Scan—A Case Report. Dentomaxillofacial Radiology, 40(4), 257-261. Doi: 10.1259/Dmfr/96080236
[3]. Jayakrishnan, J. M. (2021). Forensic Facial Reconstruction Using CBCT – A Systematic Review. Retrieved From
Https://Doi.Org/10.21203/Rs.3.Rs-437016/V2
[4]. Ahn, J., Nguyen, T. P., Kim, Y. J., Kim, T., & Yoon, J. (2020). Automated Analysis Of Three-Dimensional CBCT Images Taken In Natural Head Position That Combines Facial Profile Processing And Multiple Deep-Learning Models. Journal Of Orthodontics, 47(4), 317-325

Abstract: In botany as well as in agriculture, recent advances in deep learning have led to a myriad of automated applications such as automatic plant classification, disease detection and segmentation – all of which require image processing. This means that images from plant leaves, fruits, bark, and flowers will be needed. In real life scenario, it is a herculean task to capture images in proper lighting conditions due to inherent hardware restrictions and environmental conditions, thus, introducing noise in some instances. The visual quality of images is frequently severely degraded by noise, which is first and foremost an unavoidable part of any image processing application....

Key Words: deep learning; image denoising; multi-scale residual block; leaf images.

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[2] Li Chen, Yingfang Li, Jingquan Tian. An Improved Multi-Frame Integration Technique For Low Light Level Image. In: 2010 International Conference On Computer, Mechatronics, Control And Electronic Engineering. IEEE, 2010.
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[4] Tang F, Wu X, Zhu Z, Et Al. An End-To-End Face Recognition Method With Alignment Learning. Optik, 2020, 205: 164238.
[5] Coltuc D, Bolon P, Chassery J-M. Exact Histogram Specification. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15(5): 1143.

Abstract: A modification to the iterative Newton's method to find roots of a non-linear equation is reported. Newton's method is used in physical-mathematical sciences, engineering, biology, medicine, and many other disciplines. The recent modification consists in using an indefinite integral in the algorithm, which is approximated by the intermediate point rule of the Riemann-Stieltjes' sums. It has been demonstrated that this method exhibits cubic convergence order. A computer program was also developed to find the roots of a few sample equations which were compared to the real approximate solutions. The order of the convergence of the iterative Newton's method is quadratic, while other....

Key Word:Newton's method, Trapezoidal method, Convergence, Convergence Index, Midpoint rule of rectangles

[1]. Walter Gautschi, Numerical Analisys, Second Edition, Editorial Birkhauser Springer New York Dordrecht Heidelberg London, 1997; Pp 260-261
[2]. Miquel Grau-Sánchez , Ágela Grau, Miquel Nogueraon The Computational Efficiency Index And Some Iterative Methods For Solving System Of Nonlinear Equations, Journal Of Computational And Applied Mathematics, ELSEVIR, 2011; 236, Pp1259-1266.
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[4]. ASHIS KUMAR DASH, Estimation Of Error For Riemann Stieltjes Midpoint Rules, International Journal Of Computer & Matematical Sciemces, Editorial IJCMS, January 2015;. ISSN 234-8527, Volume 4, 1.
[5]. Tchavdar Marinov, Joe Omojola, Quintel Washington, Laqunia Banks; Behavior Of The Numerical Integration Error. Applied Mathematics, 2014.;5, 1412-1426. Scientific Research Publishing Inc.

Abstract: The progression in "Quantum computing" over past many years is significant advancements in the history of quantum computers. It promises next disruptive tech, having various practical applications and implications for corporations and industries. Based on principles of "Quantum Mechanics", i.e., superposition and entanglement, to represent state of data and to perform associated operations. These two core principles enable quantum computers to solve tailored problems significantly faster compared to classical computers.........

Keywords — Quantum physics, Cloud computing, Quantum computer, Quantum gates, Emerging tech, Information systems, Quantum Key Distribution, Shor's Algorithm and Grover's Algorithm

[1] Sujeti Das, Top Applications Of Quantum Computing Everyone Should Know About At Https://Analyticsindiamag.Com/Top-Applications-Of-Quantum-Computing-Everyone-Should-Know-About/
[2] James Dargan, 5 Crucial Quantum Computing Applications & Examples, Https://Thequantuminsider.Com/2023/05/24/Quantum-Computing-Applications/#:~:Text=3.-,Quantum%20Computing%20Application%20in%20Machine%20Learning%20(ML),Advantage%20in%20Learning%20from%20Experiments%E2%80%9D
[3] Sahil Pawar, Top Applications Of Quantum Computing, Https://Analyticsdrift.Com/Top-Applications-Of-Quantum-Computing/
[4] Apporva Bellapu, Top 10 Unexpected Applications Of Quantum Computing In 2023, Https://Www.Analyticsinsight.Net/Top-10-Unexpected-Applications-Of-Quantum-Computing-In-2023/
[5] Cody Jones Et Al, Layered Architecture For Quantum Computing, Https://Journals.Aps.Org/Prx/Pdf/10.1103/Physrevx.2.031007.

Abstract: The capacity of the human brain is expanding at a rapid rate along with human civilization, which ultimately results in psychological health problems affecting everyone from elementary school children to working professionals. Compared to physical health, mental health is the subject that today's age is least concerned about. Sentiment analysis is one of several approaches that have been created recently to evaluate and track a person's mental health. The scientific.....

Keywords: Mental health, Machine learning (ML), Sentiment analysis, AI, Natural language processing (NLP).

[1]. Hemalatha, S., & Ramathmika, R. (2019, May). Sentiment Analysis Of Yelp Reviews By Machine Learning. In 2019 International Conference On Intelligent Computing And Control Systems (ICCS) (Pp. 700-704). IEEE.
[2]. Kamath, A., Raje, N., Konduri, S., Shah, H., Naik, V., Bhattacharjee, K., ... & Kumar, A. (2018, September). Intelligent AI Assisted Psychological Disorder Analysis Using Sentiment Inference. In 2018 International Conference On Advances In Computing, Communications And Informatics (ICACCI) (Pp. 24-27). IEEE.
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[5]. Ortigosa, A., Martín, J. M., & Carro, R. M. (2014). Sentiment Analysis In Facebook And Its Application To E-Learning. Computers In Human Behavior, 31, 527-541.

Abstract: Stuttering is a speech disease which involves abnormalities or disorder in speech signal. It is also called as stammering. Stuttering involves disorders in speech, such as repetition of word, interjections, prolongations, broken words, revisions, incomplete phrases and silent pauses. Stammering is the research matter in many advance areas like speech psychology, signal analysis. Therefore, this speech study is advantage for advanced field for scientific work. One of the main issues still unresolved in area of speech disfluency is an aid and automatic way of detection on patient condition after initial and final speech therapy techniques and a contribution of treatment made after intercession.......

Keyword: VAD Segmentation Speech Spectogram Mel Cepstrums Feature Extraction KNN Classifier

[1] Junbo Zhang, Bin Dong, Yonghong Yan, "A Computer Assist Algorithm To Detect Repetitive Stuttering Automatically" Internal Conference On Asian Language Processing, Vol. 22, No. 1, PP. 249-252, 2013)
[2] Vibha Tiwari, "MFCC And Its Applications In Speaker Recognition", International Journal On Emerging Technologies, PP. 19-22, 2010.
[3] Manpreet Kaur, Amarpreet Kaur, IJET, "A Different Methods Of Segmenting A Continuos Speech Signal Into Basic Units",
IJECS, PP. 3184-3183, Vol. 22, November 2013.
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[5] K.M Ravikumar, Balakrishna Reddy, R. Rajagopal, "Automatic Detection Of Syllable Repetition In Read Speech For Objective Assessment Of Stuttered Disfluencies", International Journal Of Electrical, Computer, Electronic And Communication Engineering, Vol. 2, No. 10, 2008

Abstract: i) Organizations or enterprises are gathering and organizing data for their needs to meet transactional or analytical needs. While it is one of the most challenging tasks given the everchanging needs of the firm, but it brings additional difficulties when associated with regulatory or compliance requirements in the modern world. The amount of data generated post digital disruption is humongous which further increases the burden of gathering, securing, handling, storing, and organizing business information according to its needs, and/or in compliance to any applicable compliance / regulations in respective regions.
ii) Emerging technologies pose additional threat to data given the end users are unaware of policies which inhibits the exposure of data beyond boundaries. By the time the policies or procedures are defined, it is already too late to act on such slippages.
iii) This paper is an attempt to introduce the possible data management challenges and how we can address them given the technology is changing at a rapid pace

Keyword: Data Management, Data Modeling, Emerging Technology, Data Governance, Data Architecture, Data Catalog, Big Data, Data Democratization, Polyglot model

[1] Devin Partida, Data Management: Types And Challenges At Https://Www.Datamation.Com/Big-Data/Data-Management-Types-And-Challenges/#:~:Text=Data%20Management%20Challenges&Text=A%202022%20Deloitte%20study%20revealed,Technologies%20can%20present%20another%20challenge.
[2] Https://Www.Tableau.Com/Learn/Articles/What-Is-Data-Management
[3] Mary Shacklett, 7 Data Management Trends: The Future Of Data Management, Https://Www.Datamation.Com/Trends/Data-Management-Trends/
[4] Maxim Drobot, How To Mitigate The Challenges Of Data Growth,
Https://Www.Red-Gate.Com/Blog/Database-Development/How-To-Mitigate-The-Challenges-Of-Data-Growth
[5] Lisa Swartz, What Is Data Management? Benefits, Types And Best Practices,

Abstract: In the contemporary era defined by digital interconnectedness, the exchange and storage of sensitive information have migrated to online platforms, amplifying the critical importance of cryptography and security. This research paper aspires to undertake a comprehensive and in-depth exploration of the recent strides achieved within the realm of cryptography and security. By meticulously examining the fundamental cryptographic techniques, discerning their pragmatic applications, and understanding their central role in heightening data protection and bolstering system security, the objective is to provide a comprehensive overview of the dynamic and evolving landscape of cybersecurity......

[1]. Brown, A. R. (2019). Cryptography Fundamentals: Principles And Applications. Academic Press.
[2]. Johnson, M. E., & Williams, S. P. (2020). Cybersecurity And The Cloud: Protecting Data In The Digital Age. Springer.
[3]. Robertson, C. T. (2018). Post-Quantum Cryptography: Challenges And Prospects. Journal Of Cryptographic Engineering, 6(4), 287-304.
[4]. Gonzalez, J. H., & Martinez, L. B. (2017). Homomorphic Encryption For Secure Data Analysis. IEEE Transactions On Information Forensics And Security, 12(3), 567-579.
[5]. Williams, E. F. (2019). Cybersecurity Training And Awareness: A Comprehensive Guide. Routledge