P.A. Savale

Gel Growth; Cobalt Tartrate; X-Ray Diffraction; Fourier Transform Infrared Spectroscopy; Scanning Electron Microscopy; X-Ray Spectroscopy; Differential Scanning Calorimetry.

In present investigation, single crystals of cobalt tartrate were grown by using silica gel as a growth medium. These single crystals were grown by simple gel technique using diffusion method. The optimum growth conditions for these crystals were optimized by varying various parameters. The circular shaped, opaque and brown colored crystals were observed. The crystalline nature of grown crystal was confirmed by using powder X-ray diffraction technique which shows that cobalt tartrate hydrate has crystallized in orthorhombic structure. The functional groups present in the crystals were identified by using Fourier Transform Infrared Spectroscopy (FTIR) analysis which shows that the presence of O-H bond, C-H bond and metal–oxygen bond. The Scanning Electron Microscopy (SEM) study reveals that the crystals having flat, rectangular and orthorhombic shapes of different sizes and structures embedded in rock like structure. The analysis of X-Ray Spectroscopy (EDAX) has shown the presence of Cobalt and Oxygen. The values of energy gap and band gap energy were calculated from UV-visible absorption spectra and these values were determined as 8.45 eV and 5.27 eV respectively. The Differential Scanning Calorimetry (DSC) was done to find the thermal properties of the crystal which manifest the water of hydration in the crystal.

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Manimozhi Selvi V, Amutha R, A. Nirmalakumari

Cowpea; Flower Colour; Food Legume Crops

Cowpea (Vigna unguiculata L. Walp) is a multi-purpose, underutilized legume crop mostly grown in dry tropical areas. It is one of the most important food legume crops, exhibits considerable morphological variability in its wild as well as cultivated forms. The present investigation was carried out in F 1 , F 2 and F 3 generations of four inter sub-specific crosses (RC101×Vyjayanthi, RC101× Vellayani jyothica, ACM 05-02×Ettumanoor local and ACM 05-07× Vyjayanthi) of cowpea to study the inheritance pattern of flower pod colour in F 2 and F 3 generations. Inheritance of flower colour and pod colour in cowpea has followed a qualitative pattern. Purple flower colour is dominant over white colour flower whereas, purple colour pod is partially dominant over green pod colour. A segregation ratio of 3 purple: 1 white flower colour in F2 generation of two crosses indicated that white flower colour is controlled by single recessive. Whereas segregation ratio of F2 1 green; 2 Light purple: 1 purple colour pod indicated that purple colour pod is partially dominant over green pod colour and it’s governed by single gene.

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Sheena Christabel Pravin*, Saranya.J, M. Palanivelan, Priya L

House Speech and Gesture Recognition System; Deep Learning; Convolutional Neural Network; Speech and Hearing Impairment.

Speech and Gesture recognition systems constitute an ideal aid for the disabled with speech and hearing impairments. Approximately, there are 466 million people in the world with hearing impairment and around 16 million with speech impairment. They require an external aid to recognize their speech and gestures, to express their thoughts and ideas to the world. The proposed Speech and Gesture Recognition System (SGRS) takes forward to solve the communication barriers faced by the disabled subjects, by recognizing both the speech and gestures of the subjects with promising accuracy using the convolutional neural network. The proposed SGRS model is competent to convert the sign-language into pictures and speech to text as well with high accuracy. Thus, SGRS can be a suitable aid for the subjects with speech and hearing impairment. SGRS has been evaluated with standard evaluation scores such as validation accuracy, validation loss, recall, precision and F1-score and has been proved to be proficient.

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[7] Manan Parekh. A Brief Guide to Convolutional Neural Network(CNN), 2019; Available: https://medium.com/nybles/a-brief-guide-to-convolutional-neural-network-cnn-642f47e88ed4
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[9] Arunava. Convolutional Neural Network, 2019; Available: https://towardsdatascience.com/convolutional-neural-network-17fb77e76c05#:~:text=Fully%20Connected%20Layer%20is%20simply,into%20the%20fully%20connected%20layer.
[10] Kevin Vu. Activation Functions and Optimizers for Deep Learning Models, 2019; Available: https://dzone.com/articles/activation-functions-and-optimizers-for-deep-learn#:~:text ReLU%20is%20a% 20non%2Dlinear,the%20output%20would%20be%20zero.
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[12] Jason Brownlee. Softmax Activation Function with Python, 2020; Available:https://machinelearningmastery.com/softmax-activation-function-python/#:~:text=The%20softmax%20function with%20is%20used%20as%20the%20activation%20function%20in,more%20than%20two%20class%20labels.
[13] Rohit Dwivedi. Everything You Should Know About Dropouts and BatchNormalization In CNN, 2020; Available: https:// analyticsindiamag.com/everything-you-should-know-about-dropouts -and-batchnormalization-in-cnn/
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[15] Anup Kumar, Karun T.M, Dominic M, Sign Language Recognition, in Recent Advances in Information Technology, 3rd International Conference, 2016.
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[17] Sheena Christabel Pravin, Palanivelan, M. Regularized Deep LSTM Autoencoder for Phonological Deviation Assessment. International Journal of Pattern Recognition and Artificial Intelligence, 2021; 35(4): 2152002.
[18] Sheena Christabel Pravin, Palanivelan, M. A Hybrid Deep Ensemble for Speech Disfluency Classification. Circuits, Systems, and Signal Processing, Springer, 2021; 40 (8): 3968-3995

Dr. R. Sivaraman

House Number Puzzle; Pell’s Equation; Continued Fraction; Convergents.

One of the most significant mathematicians of India, of 20th century was Srinivasa Ramanujan. He posed several interesting puzzles as his notebook jottings. The entries of his notebooks were today considered to be mathematical treasures. During the period when Ramanujan stayed at Trinity College of Cambridge University, England his Indian friend posed a interesting puzzle which Ramanujan had solved immediately. In this paper, I will introduce that puzzle and provide the way as how Ramanujan could have accomplished the solution in a flash.

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Saranya J, Suganthi S, Sheena Christabel Pravin, Selvakumar V. S

Anti-viral; Graphene; Health; Nanomaterials; Pandemic; Super Hydrophobic; Machine Learning.

The Coronavirus Disease-19 (COVID-19) pandemic has emerged into a severe problem. The contact spreading of the virus poses more threat to the people. The fast spreading of the virus is due to its endurance for several hours in aerosol and on flat surfaces. This necessitates the need for super hydrophobic coatings on the surfaces of Personal Protection Equipment (PPE), furniture and diagnostic equipment in hospitals. The nanomaterials have been used for inducing anti-viral and anti-bacterial characteristics to the hydrophobic solutions, converting them into super hydrophobic solutions. These nanomaterials on the hydrophobic solutions, encapsulate, suppress and eliminate viruses. For example, graphene has the ability to trap the viruses and transfer electric charges to destroy them. In this review, effective combinations and formulations of nanoparticles for disinfecting surfaces against microbes are presented. Also, the various coating techniques available for converting the fabric surfaces into a super-hydrophobic material is expounded. Further, the incorporation of machine learning models for tuning the nanomaterial parameters is also portrayed.

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Prof. Samir A. Hamouda, Maqboula Khamis Ibrahim, Mohamed Belhasan Mohamed

Methods and Technologies; Vibration; Rotation; Visible Light; Spectroscopy

The electromagnetic spectrum classifies and explores the properties of electromagnetic radiation. This classification does not contradict the concept of wave and particle, only the type of interaction between radiation and the medium can produce accurate interpretation of the final experimental results. This paper outlines the most relevant experimental techniques evolved from understanding the electromagnetic spectrum and their technologies.

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[2] Samir. A. Hamouda, (2016), “Gamma-Ray Compton Spectroscopy of Tungsten Using 662 Kev Gamma-Ray Radiation”, Mordovia University, Bulletin, Vol. 26, no. 2, 211-217
[3] Samir A Hamouda, et al. (2018),” Circular Polarization Of Photons For Magnetic Materials Studies”, International Journal Of Core Engineering & Management, Volume-4, Issue-12.
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Dr. T. Baskar, Dr. A. Shaji George, Bashiru Aremu, A. S. Hovan George

Electroplating; Crystalline Size; Ni-B; X-ray Diffraction; Electrolytic Bath; VHN; VSM; SEM.

Alloy thin films of NiFeW were prepared using electroplating at room temperature. Then electroplated NiFeW thin films was annealed at 200 o C. NiFeW deposited films are textured with FCC phase preferred orientation. They were exposed to morphological, structural and mechanical characterization analysis. NiFeW films were bright and uniformly coated on the surface. Also the deposits of NiFeW films were in nano scale and the average crystalline size was around 70 nm. The micro hardness of NiFeW was 142 VHN after annealing.

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Terlumun Adagba, Aliyu Ibrahim Kankara, Musa Idris Ado

Water Quality Index; Groundwater; Unit Weight; Physio-Chemical Parameters; Drinking Water.

This study presents the findings of an assessment of the ground water quality for drinking purposes using Water Quality Index (WQI). To ascertain the water quality, detailed physical and chemical analysis of water samples was carried out on samples. Samples from twelve (12) sampling points were taken and analysis was carried out on several parameters such as pH, Temperature, Electrical Conductivity (EC), total dissolved solids (TDS), Sodium, Potassium, Calcium, Fluoride, Chloride, Bicarbonates, Nitrate, Sulphate, Magnesium, Iron. Analysed parameters were compared with the World Health Organisation (WHO). It was observed that most of the water sample parameters conformed to the standards for Drinking water. The Water Quality Index values obtained ranged from 36.32 to 113.11, signifying a water quality class ranging from excellent to poor water quality. From the classification of the samples, five (5) samples indicating about 41.67% of the total water sample was classed as having “excellent” water quality (WQI < 50), Six (6) samples representing about 50.00% of the total water sample showed “good” water quality (WQI 50-100) and one (1) which is 8.33% as having “poor” water quality (WQI>100). The low values of WQI in the water samples indicate that water obtained from this area is suitable for drinking with little or no treatment.

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S. Karthik, Dr. N. Satish

Arduino; Smart Cane; Zero Update Algorithm; Servo; Assistive Technology; Wearable Computing; Machine Learning

In order to assist visually disabled persons, a research that significantly aids certain individuals in pacing more confidently has been suggested. The research proposes a smart walking glove that alerts visually disabled people about hazards and pits, and therefore the machine can assist them in walking with less injuries. It defines a more sophisticated navigational device for visually disabled people. It consists of a simple stroll fitted with sensors that provide environmental data. Global Positioning System (GPS) technology is combined with a microcontroller for those who wish to assist their loved ones in keeping track of them. Ultrasonic sensors, GPS receivers, vibrators, Peripheral Interface Controller (PIC) rulers, and batteries are all included in this statute. The traditional purpose of the system is to grant a convenience. The traditional purpose of the device is to provide a simple and effective tool for the inadvisable to solve their difficulties in everyday life. Technology and human lifestyles can no longer be isolated, and this has become a global issue. Is science, however, capable of assisting visually disabled people? The impediment between ben and ben is generally scored by blind people. For the Illogical people, mobility and action in accordance with pace and protection are described as men who are at ease in their surroundings unless they are counted among others. Cane or information dogs are commonly used to support the blind with their travel. However, there are some problems with the navigation support. Because the individual and as a result, use, the ferule grant small preview.
The ferule offers a small preview due to the human, and as a result, the consumer must be more vigilant in compliance with the speed than if the cell died slowly. Because of the knowledge dogs, educating and coordinating the dogs with illogical people is a challenging undertaking, but the end result is negligible.

[1] Andrews Samraj ,Kalvina Reddy , “Suitability Analysis of Gestures for Emergency Response Communication by Patients, Elderly and Disabled while using Data Gloves”, Latest Trends in Information Technology. ISBN: 978-1-61804-134-0.
[2] Andrews samraj ,kalvinarajendran , ramaswamypalaniappan “A segmented mean feature extraction method for glove – base system to enhance physiotherapy for accurate and speedy Recuperation of limbs”. International conference on advances in computing, communication and informatics (ICACCI), Sep 2016 jaipur, India.
[3] ChuKiong Loo, Andrews Samraj and Gin Chong Lee, “Evaluation of methods for estimating fractal dimension in motor imagery based brain computer interface”, Discrete Dynamics in Nature and Society. Volume 2011 (2011), Article ID724697, 8 Pages Hindawi publishers.
[4] Karthik S, Satish N, and “An Investigation Study on Assistive Technology Using Soft Cyborg Techniques for Patients”UGC Care Journal (Purakala), ISSN: 0971-2143 Vol-31-Issue-04-April-2020
[5] Kalvina R, M. Rajavel , A. Samraj, “emergency gesture communication by patients elderly and differently abled with care takers using wearable data glove”
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[8] ShohelSayeed, S.Andrews , RosliBesar , and Loo Chu Kiong “ Forgery Detection in Dynamic Signature Verification by Entailing Principal Component Analysis “, Discrete Dynamics in Nature and Society , Volume 2007 , Article ID 70756 , 8 Pages , DOI :10.1155/2007/70756.
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[13] Kalvina, R., Samraj, A. and Maheswari, N. (2013) ‘Emergency communication interface design using wearable data gloves for weary patients’, International conference on Green High Performance Computing, Chunkankadai Nagercoil Tamilnadu India, DOI:10.1109/I.
[14] Kamel, N.S., Sayeed, S. and Ellis, G.A. (2008) ‘Glove-based approach to online signature verification’, IEEE Transactions on Pattern Analysis and Machine Intelligence, June 2008, Vol. 30, No. 6, pp.1109–1113.
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R.Vajubunnisa Begum, Dr.K.Dharmarajan

IoT; Telehealth; Wireless Body Area Network; WBAN; Wireless Standards.

The Tele-Health WBAN (Wireless Body Area Network) Model for patients required more attention especially old age people’s healthcare services in Low-cost Internet of Things (IoT) Devices. The advancements in telemedicine have increased drastically towards wearable sensor devices and mobile phone-based applications in the last few years. The study presents the integration of IoT and wearable sensor devices in the Tele – Health system developed for tracking heart patients among the elderly people and also to prevent them from stroke. In order to meet the demand for old age people healthcare services, it is very much essential to provide assistance in cardiac disease diagnosis and suggest medication in their home with comfortable environment. Hence, they can avoid frequent visit to hospitals and long stays.

[1] S.F. Khan, “Health care monitoring system in Internet of Thing (loT) by using RFID”. International Conference on IndustrialTechnology and Management, 2017.
[2] J.H. Abawajy, M. Mohammad and M. Hassan, “Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System’. IEEE Communications Magazine, vol. 55, pp. 48-53, 2017.
[3] F. Erden, S. Velipasalar, A.Z. Alkar and A.E. Cetin, “Sensors in Assisted Living: A survey of signal and image processing methods”. IEEE Signal Processing Magazine, vol. 33, pp. 36-44, 2016.
[4] S. Cirani and M. Picone, “Wearable Computing for the Internet of Things”. IT Professional, vol. 17, pp. 35-41, 2015.
[5] C.F. Pasluosta, H. Gassner, J. Winkler, J. Klucken and B.M. Eskofier, “An Emerging Era in the Management of Parkinson’s disease: Wearable Technologies and the Internet of Things”. IEEEJournal of Biomedical and Health Informatics, vol. 19, pp. 1873- 1881, 2015.
[6] E. Spanò, S.D. Pascoli and G. Iannaccone, “Low-Power Wearable ECG Monitoring System for Multiple-Patient Remote Monitoring”. IEEE Sensors Journal, vol. 16, pp. 5452-5462, 2016.
[7] H. Thapliyal, V. Khalus and C. Labrado, “Stress Detection and Management: A Survey of Wearable Smart Health Devices”. IEEEConsumer Electronics Magazine, vol. 6, pp. 64-69, 2017.
[8] T.S. Rios and R.M.S. Bezerra, “WHMS4: An integrated model forhealth remote monitoring: A case study in nursing homes for theelderly.” 10th Iberian Conference on Information Systems andTechnologies, 2015.
[9] Mr.Anand D.Acharya and Mrs.Shital N.Patil “IoT based Health Care Monitoring Kit”. Proceedings of the Fourth International Conference on Computing Methodologies and Communication (ICCMC) IEEE Xplore Part Number:CFP20K25-ART; ISBN:978-1-7281-4889-2, 2020.
[10] A. Divya priya and Sundar”Health Monitoring System using IoT”. International Conference on Vision towards Emerging Trends in Communication and Networking (ViTECoN), 2019
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[12] Mithir Kumar Jena and Irshad Ahmad Ansari “ A Critical Review of Wireless Health Monitoring Devices”. Conference on Information and Communication Technology (CICT), 2018.
[13] Rim Negra et. al. “Wireless Body Area Networks: Applications and technologies”, Published by Elsevier B.V (The Second International Workshop on Recent Advances on Machine-to-Machine Communications), 2016.
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