iosr-JCE   Volume-23 ~ Issue-2 ~ Mar. - Apr. 2021

Abstract: Lightweight cryptography, the modern branch of cryptography is used in wireless sensor network devices or Internet of Things (IoT) devices. Lightweight cryptography came into existence with the development in IoT devices and was basically used to overcome the constrained environment conditions, e.g. RFID tags, sensors, healthcare devices. The motivation of lightweight cryptography is to use less memory, fewer computing resources, and less power supply with minimal implementation cost. The main aim of the research will be to go through an exhaustive study of lightweight cryptography

Keywords: Lightweight cryptography, security, privacy, confidentiality

[1]. S. Al Salami, J. Baek, K. Salah and E. Damiani, "Lightweight Encryption for Smart Home," 2016 11th International Conference on Availability, Reliability and Security (ARES), Salzburg, 2016, pp. 382-388.
[2]. A. Beg, T. Al-Kharobi and A. Al-Nasser, "Performance Evaluation and Review of Lightweight Cryptography in an Internet-of-Things Environment," 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS), Riyadh, Saudi Arabia, 2019, pp. 1-6.
[3]. I. Bhardwaj, A. Kumar and M. Bansal, "A review on lightweight cryptography algorithms for data security and authentication in IoTs," 2017 4th International Conference on Signal Processing, Computing and Control (ISPCC), Solan, 2017, pp. 504-509
[4]. Surendran, S., Nassef, A. and Beheshti, B., 2018. A survey of cryptographic algorithms for IoT devices. 2018 IEEE Long Island Systems, Applications and Technology Conference (LISAT),
[5]. I. K. Dutta, B. Ghosh and M. Bayoumi, "Lightweight Cryptography for Internet of Insecure Things: A Survey," 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2019, pp. 0475-0481, doi: 10.1109/CCWC.2019.8666557.

Abstract: This all in one automatic hand sanitizer, is an electromechanical system designed and constructed to help curb the spread of Covid-19 through hands. It was achieved by heuristic application of electronic sensors, mechanical pumps, LED and LCD display devices wired around an AT-MEGA microcontroller board, loaded with the required sketch codes. While the ultrasonic proximity sensors are coded to actuate between 0-64cm range, the LED and LCD devices are programmed to display when any of the sanitizing elements is empty and for sensors detection OFF and ON respectively. Although, a hundred percent success was recorded for all the hypothesis of this demonstration project. It is recommended that a pump of up to 10psi be used to replace the 1psi pump if commercial application is intended.

Keywords: Ultrasonic Sensor; Arduino Uno; Sanitizing elements; Relays; Pumps

[1]. Sharma A.S (2020) "Automatic hand sanitizer ". @www.researchgate.net,internet.
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[3]. Jeremy brassard, David markham, Amber Truhanovitch (2012); "Replacement hand washing system". Retrieved web.wpi.edu.internet
[4]. Lukasz .S.B (2014): '' Hand sanitizer dispensing door handless ''. Retrieved from www.ajicjourney.org. Internet.
[5]. Noemie A.B.(2017) ''Automatic hand washer''. Retrieved from www.researchgate.com. Internet

Abstract: This is a system where originally fabricated gasoline engine, is redesigned to run on electrolytic gas obtained from water. This is not so strange in itself as it is well known that Hydrogen is a fuel. The benefit of using electrolytic gas from water is that, the Hydrogen has with it, its own oxidiser – Oxygen. Already perfectly proportioned by nature, no gas mixing is required and so complete combustion is accomplished without the need for additional air. The engine drives an alternator rated 1.0kVA at 240Vwhich is stepped down to 12V, rectified and fed into three electrolysis cells. Beginning at 12 Volts the cells are heated partly by hot exhaust gas and partly by way of voltage on the plates within, acting as heating elements. When the cells get up to temperature (about 75° C), the rectifier supply is reduced to a range between 1.24 to 2.00 volts which then serves to increase electrolysis efficiency in accordance with Faraday's Law(s) of electrolysis and thus efficiency in the order of 97.5% are achieved. The cells consume current of 25 Amps. The process is endothermic and provides gas more than sufficient to fuel the engine.

Keywords: Water; Hydrogen gas; Combustion; Alternator; electrolysis, Arduino microcontroller

[1]. Arduino – Learn the Basics (2015) Retrieved from https://www.arduino.cc/en/Tutorial/Homepage
[2]. Stan M. (2014), Water as Fuel.
[3]. Retrieved from http://www.free-energy-info.tuks.nl/P9
[4]. Tutorial – Circuit Wizard (2015) Retrieved from https://www.new-wave-concepts.com/ed/cw_tutor.html.

Abstract: Brain Computing Interface (BCI) technology is a promising field to reinstate the information to patients suffering from Neurological Disorders. In this paper we will be taking a look at the signal acquisition techniques used in the BCI system, it suggests which technique is best to acquire the brain signals. The pre-processing methods that are used for feature extraction, the filters used to denoise to extract the required information by choosing the right Classifier algorithm. BCI technology has made a great impact on many applications, especially in the medical field by helping patients suffering from locked-in syndrome. It also extant in Neuro-ergonomics, Neuromarketing, Education, Security and authentication. Apart from the applications being benefitted there are many.....

Key Word: Brain Computer Interface; Human-Computer Interface; Signal Processing; Feature Extractions; Classification.

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Abstract: Many people are suffering from neurological dis- orders such as stroke, central nervous system disorder, and spinal cord injury. The physical demand for both patient and therapist in manual therapy leads to the need for the development of robotic exoskeletons for rehabilitation therapy. This paper describes the various methods used for building assistive robotic exoskeletons.

Index Terms: Exoskeletons, Brain Computer Interface, Elec- troencephalography, Electromyography

[1]. R. Prathibha, L. Swetha and K. R. Shobha, "Brain computer interface: Design and development of a smart robotic gripper for a prosthesis environment," 2017 International Conference on Networks & Advances in Computational Technologies (NetACT), Thiruvananthapuram, India, 2017, pp. 278-283, doi: 10.1109/NETACT.2017.8076780.
[2]. Nadakuduru, Padma Vasavi & Raju, Prssvraju & Radhika, S. & Prasad, G.D.K.. (2016), "A Mind Operated Computer Mouse Using Discrete Wavelet Transforms for Elderly People with Multiple Disabilities", Procedia Computer Science, 85. 166-175. 10.1016/j.procs.2016.05.205.
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[4]. Chen G, Chan CK, Guo Z, Yu H "A review of lower extrem- ity assistive robotic exoskeletons in rehabilitation therapy", Critical Reviews in Biomedical Engineering, 2013 ;41(4-5):343-363, DOI: 10.1615/critrevbiomedeng, 2014010453.
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Abstract: The term cyber security is the collection of techniques or method to protect computer, data, coding and networks etc from access or attack by unauthorized source. This attacks is called cybercrimes. The person who performs cybercrimes are called cyber criminals. Cyber criminal who would be expert in hacking a system or a network. Cyber criminal would hack the network or a system of a company or organization for their data, information and intellectual property. For preventing this cyber crime blockchain would be one used. This technology is used in many large company, banks and many other places. Blockchain technology is used in cyber security to prevent the hacking of system and network. Blockchain technology would be more useful in protecting the company network.

Keywords: Cyber Security, Blockchain, Cybercrimes.

[1]. Antonina Farion Economic Security, IEEE - "Using Blockchain Technology for Boost Cyber Security" (2019).
[2]. Jonathan White, Dept. of Engineering Management and System Engineering Old Dominion University Norfolk, IEEE – " Continuous Cybersecurity Management Through Blockchanin Technology" (2019).
[3]. Zibin Zheng, Shaoan Xie, Hongning Dai, IEEE – "An Overview of Blockchain Technology: Architecture, Consensus and Future Trends" (2017)
[4]. D.Yaga, P. Mell, N. Roby and K. Scarfone, "Blockchain Technology Overview". NIST, U.S. Department of Commerce, October 2018. Victor Chang, Muthu Ramachandran, Member, IEEE "Towards achieving Data Security with the Cloud Computing Adoption Framework", 2015,IEEE.

Abstract: Asteroid are small, rocky object that orbit the sun. Asteroids are rocky worlds revolving around the sun that are too small to be called planets. They are also known as planetoids or minor planets. There are millions of asteroids ranging in size from hundreds of miles to several feet across. In these paper we are going to measure the diameter of an asteroids. The diameter of an asteroid is one of the most important physical parameter of asteroid. There are many method used to estimate the diameter or size of asteroid. The latest technique that is used by space scientist to estimate the size of asteroid is through absolute magnitude (H) and Geometric albedo (a),where diameter is considered as function of H and a. For estimation of diameter of an asteroid we have used machine learning algorithm. The impact machine learning can make is truly boundless and this paper is confirmation of the utility machine learning have in predicting asteroid diameter. The overall paper can be viewed as success as it was able to predict accurate and powerful results using machine learning technology.

Index Terms: Detection, Machine Learning, Asteroids, Multilayer Perceptron Regressor

[1]. Apr-2019"Prediction of Asteroid Diameter with the help of Multi-Layer Perceptron Regressor".
[2]. T. Yidirim; H.K. Cigizoglu.2002."Comparison of generalized regression neural network and MLP performances on hydrologic data forecasting". Proceedings of the 9th International Conference on Neural Information Processing, 2002.ICONIP '02.
[3]. M.L. Vaughn; J.G. Franks.2003."Explaining how a multilayer perceptron predicts helicopter airframe load spectra from continuously valued Flight parameter data". Proceedings of the International Joint Confer- ence on Neural Networks,2003.
[4]. Albino Carbognani and Alberto Buzzoni"Spinning and color properties of the active asteroid(6478)"Accepted 2020 january 21 in original form 2019 july 18.
[5]. Denusa(Balazs) copandean ,Doreian Gorgan"A Visual Solution in Asteroid detection"2019.