Archive

Abstract:

The blockchain with the Ethereum platform has involved millions of accounts because of its powerful potential for providing countless services based on smart contracts. Millions of internet bots and hackers are looking forward to hitting open systems. Proactive security measures to secure our systems, data assets, and networks thus need to be facilitated. Each firm that does not wish to compromise its data must focus more on network security. Almost all commercial organizations and institutions worldwide create and utilize several cyber security technologies, such as intrusion detection systems to prevent unauthorized users or malware-related antivirus. Honeypots are one of these technologies. The efficiency of honeypots has deteriorated as the years have passed. We integrate the honeypot with Blockchain technology to enhance efficiency and effectiveness. We provide a data science detection method in this research that is mostly based on contract transaction behaviour. As a result, we suggest a specific kind of unfavorable honeypot. Through a comparison of the 352 honeypots and the 158,568 non-honeypots, the code and behavioral characteristics of honeypots are discovered. We try to separate these parts of an adversarial honeypot so that it can work around the ways that hackers can find it now.

Keywords:

Honeypot,smart contract,Ethereum,classification ,

Refference:

I. Choi SK, Yang CH, Kwak J. 2018. System hardening and security monitoring for IoT devices to mitigate IoT security vulnerabilities and threats. KSII Transactions on Internet and Information Systems 12(2):906–918.
II. Dairu, Xie & Shilong, Zhang. (2021). Machine Learning Model for Sales Forecasting by Using XGBoost. 480-483. 10.1109/ICCECE51280.2021.9342304.
III. Etherscan, “Ethereum developer apis,” December 2019, https://etherscan.io/apis.
IV. Guo D, Zhong RY, Ling S, Rong Y, Huang GQ. 2020. A roadmap for Assembly 4.0: self-configuration of fixed-position assembly islands under Graduation Intelligent Manufacturing System. International Journal of Production Research 58(15):4631–4646 DOI 10.1080/00207543.2020.1762944.
V. Ja’fari F, Mostafavi S, Mizanian K, Jafari E. 2020. An intelligent botnet blocking approach in software-defined networks using honeypots. Journal of Ambient Intelligence and Humanized Computing.
VI. Jiafu W, Shenglong T, Zhaogang S, Di L, Shiyong W, Muhammad I, Athanasios VV. 2016. Software-defined industrial internet of things in the context of industry 4. 0. IEEE Sensors Journal 16(20):7373–7380.
VII. Mitchell, “Machine learning and data mining,” Communications of the ACM, vol. 42, no. 11, 1999.
VIII. Park ST, Li G, Hong JC. 2018. A study on smart factory-based ambient intelligence context-aware intrusion detection system using machine learning. Journal of Ambient Intelligence and Humanized Computing 11:1405–1412 DOI 10.1007/s12652-018-0998-6.
IX. Seungjin L, Abdullah A, Jhanjhi NZ. 2020. A review on honeypot-based botnet detection models for smart factory. International Journal of Advanced Computer Science and Applications 11(6):418–435.
X. Sharma, Vivek. (2012). Design & Implementation of Honeyd to Simulate Virtual Honeypots. IOSR Journal of Computer Engineering. 3. 28-34. 10.9790/0661-0312834.
XI. Vishwakarma R. 2019. A honeypot with machine learning based detection framework for defending IoT based Botnet DDoS attacks. In: 3rd International Conference on Trends in Electronics and Informatics, 23rd to 25th April 2019, Tirunelveli, Tamil Nadu, India. 1019–1024.
XII. Wang W, Shang Y, He Y, Li Y, Liu J. 2020. BotMark: automated botnet detection with hybrid analysis of flow-based and graph-based traffic behaviors. Information Sciences 511:284–296 DOI 10.1016/j.ins.2019.09.024.

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Abstract:

We have designed a fourth-order active lowpass filter which is a cascade version of two-second-order lowpass filters. To achieve the application, the Sallen-Key and conventional second-order filters are used in the first stage and second stages respectively. This filter is designed especially for biomedical applications for the detection of very low frequencies in the range from 1 Hz to 100 Hz.  We get stable output waveforms with high selectivity, fewer harmonics, and sharp waveform crest and trough.

Keywords:

Lowpass filter,Active Filter,Bio-medical application,Fourth order filter,

Refference:

I. Christopher Hallberg, J., Mary Therese Lysaught, Christopher E. Zmudka, William K. Kopesky, and Lars E. Olson, “Characterization of a human powered nebulizer compressor for resource poor settings”, Biomedical Engineering Online, 13 (2014) 77.
II. Dondelinger, Robert, “Defibrillators”, Biomedical Instrumentation & Technology, 48 (2014) 131-137.
III. Elfekey, Hatem, Hany Ayad Bastawrous, and Shogo Okamoto. “A touch sensing technique using the effects of extremely low frequency fields on the human body.” Sensors 16, no. 12 (2016) 2049.
IV. Huang, Chun-Chieh, Shao-Hang Hung, Jen-Feng Chung, Lan-Da Van, and Chin-Teng Lin. “Front-end amplifier of low-noise and tunable BW/gain for portable biomedical signal acquisition.” In 2008 IEEE International Symposium on Circuits and Systems, pp. 2717-2720. IEEE, 2008.
IV. Imad Fakhri Taha Alshaikhli, Sabaa Ahmed Yahya, Irma Pammusu, and Khamis Faraj Alarabi, “A study on the effects of EEG and ECG signals while listening to Qur’an recitation”, In The 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M), pp. 1-6 (2014).
V. Jakab, Andrei, Antti Kulkas, Timo Salpavaara, Pasi Kauppinen, Jarmo Verho, Hannu Heikkilä, and Ville Jäntti, “Novel wireless electroencephalography system with a minimal preparation time for use in emergencies and prehospital care”, Biomedical Engineering Online,13 (2014) 60.
VI. S. Qureshi, and S. Krishnan, Wearable hardware design for the internet of medical things (IoMT), Sensors 18 (2018) 3812.
VII. Song, Yong, Qun Hao, Kai Zhang, Jingwen Wang, Xuefeng Jin, and He Sun. “Signal transmission in a human body medium-based body sensor network using a Mach-Zehnder electro-optical sensor.” Sensors 12, no. 12 (2012): 16557-16570.
IX. Wan, Hao, Liujing Zhuang, Yuxiang Pan, Fan Gao, Jiawei Tu, Bin Zhang, and Ping Wang. “Biomedical sensors.” In Biomedical Information Technology, pp. 51-79. Academic Press, 2020.
X. Wang, Ning, Alison Testa, and Barry J. Marshall. “Development of a bowel sound detector adapted to demonstrate the effect of food intake.” BioMedical Engineering OnLine 21, no. 1 (2022) 1-12.

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Abstract:

This thesis deals with the design and prototype development of an inverter to feed AC power to an induction motor coupled with a pump. In this type of load, input power is proportional to the cube of the speed. The inverter is fed from a 48 V rechargeable battery, which is charged through a solar panel. The basic intention of this research work is to start an induction motor with lower voltage and lower frequency, keeping v/f constant, such that the starting current is low. This concept can be utilized to run a submersible pump in a remote area where there is no electric power supply or where there is a problem in the distribution system. Submersible pumps are normally operated for a small interval (30 to 60 min). This energy can be supplied by a 48 V, 75 Amp-Hour Lead Acid type rechargeable battery. This is achieved by connecting four numbers of 12 V Lead Acid batteries. This experiment has been conducted with a Lead acid battery but the Lithium Ion battery gives better performance. The solar panel (cell) is used to charge the battery for around 8 hours from morning and with the fully charged battery, the pump is run through the inverter for a short time of around 90 min. An inverter has been designed to run a 1 hp induction motor coupled with a submersible pump. The motor is started with low voltage with v/f control. Gradually the full voltage is applied and the motor runs at the rated speed. After an operation of a preset time, the motor is stopped. In this design, we have used a PIC microcontroller to generate the Pulse Width Modulated waveform. By this technique, we have tried to increase the fundamental components of the AC voltage waveform. This improves the efficiency of the pump. The design is modular. In this application, we have used 8 MOSFETs in parallel. For higher-capacity motors, one can use more MOSFETs to deliver the primary current to the transformer.

Keywords:

Efficiency,Battery longer lifespan,V/f control,solar power,carbon credit,

Refference:

I. Asoke Kumar Paul, I Banerjee, B K Santra and N Neogi, “Adjustable speed drives for rolling mill applications”, Steel India, March 2008, Vol. 30, No. 2, pp 46-50, Published by Steel Authority of India Limited.
II. GAURAV ARORA, NEHA AGGARWAL, DEBOJYOTI SEN, PRAJJWAL SINGH, Design of Solar Power Inverter, International Advanced Research Journal in Science, Engineering and Technology (IARJSET), Vol. 2, Special Issue 1, May 2015
III. Muhammad Asif RABBAN, SOLAR POWER SYSTEMS AND DC TO AC INVERTERS, ACTA TECHNICA CORVINIENSIS – Bulletin of Engineering [e-ISSN: 2067-3809] TOME XIII [2020] | FASCICULE 2 [April – June]
IV. S. Nithya Lavanya, T. Bramhananda Reddy, M. Vijay Kumar. : ‘LOW COMPUTATIONAL BURDEN AND FIXED SWITCHING FREQUENCY RANDOM PWM TECHNIQUES FOR VECTOR CONTROLLED INDUCTION MOTOR DRIVE’. J. Mech. Cont.& Math. Sci., Special Issue, No.-5, January (2020) pp 227-239. https://doi.org/10.26782/jmcms.spl.5/2020.01.00020

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Abstract:

The research on controlling metal transfer modes in the SAW process is essential to have high-quality welding with minimum cost. As a part of the study, on the effects of process parameters on weld bead geometry in Submerged Arc Welding (SAW), a technique that has proved very useful in reducing to a minimum number of experiments required is a branch of applied mathematics known as factorial design technique or fractional factorial design technique. Weld bead size and shape are important considerations for design and manufacturing engineers in the fabrication industry. This is done to specify and establish the interrelation between the mechanical properties and the various weld parameters as well as it also investigates the most ideal combination of the various parameters which gives good weld quality, high strength, and durability. In this study manual Metal Inert Gas (MIG) welding setup modified into a semi-automatic SAW facility, has been used. For this investigation, a statistical technique, response surface methodology (RSM) with Minitab 2017 has been used for the analysis of the direct and interaction effects of the process. Weld beads were deposited with bead-on-plate techniques using copper-coated mild steel wire and agglomerated flux for shielding on mild steel plates.

Keywords:

submerged arc welding,response surface methodology,factorial design,

Refference:

I. A. Biswas, A. Bhowmik, S. Datta and S. Bhaumik, “Feasibility study of submerged arc welding (SAW) on mild steel plate IS 2062 Grade B at zero degree Celsius”, Singapore SG, vol. 13 (3) Part XV, Mar 29-30, 2015.
II. A. Ghosh, S. Chattopadhyaya and R.K.Das, “Effect of heat input on submerged arc welded plates”, Physics Engineering (ICM11), vol. 10, pp. 2791–2796, 2011.
III. A. Kumar, S. Maheshwari and S. K. Sharma, “Optimization of Vickers hardness and impact strength of silica based fluxes for submerged arc welding by Taguchi method”, 4th International Conference on Materials Processing and Characterization, Materials Today: Proceedings vol. 2, pp. 1092 – 1101, 2015.
IV. A. Saha and S. C. Mondal, “Optimization of process parameters in submerged arc welding using multi-objectives Taguchi method”, 5th International & 26th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) December 12th–14th, 2014, IIT Guwahati, Assam, India.
V. D.V. Kiran, B. Basu and A. De, “Influence of process variables on weld bead quality in two wire tandem submerged arc welding of HSLA steel”, Journal of Materials Processing Technology, vol. 212, pp. 2041– 2050, 2012.
VI. J. Lau, Y. Dong, L. Longfei and W. Xiaoming, “Microstructure of 2205 duplex stainless steel joint in submerged arc welding by post weld heat treatment’’ Elsevier: Journal of Manufacturing Processes vol. 16, pp. 144-148, February 2014.
VII. R. Rao and V. Kalyankar, “Experimental investigation on submerged arc welding of Cr–Mo–V steel”, Springer: International Journal of Advanced Manufacturing and Technology, vol. 69, pp. 93-106, May 2016.
VIII. R. Rao and V. Kalyankar, “Experimental investigation on submerged arc welding of Cr–Mo–V steel”, Springer: International Journal of Advanced Manufacturing and Technology, vol. 69, pp. 93-106, May 2016.
IX. S. Kumanan, J.Edwin Raja Dhas and K. Gowthaman, “Determination of submerged arc welding process parameters using Taguchi method and regression analysis”, Indian Journal of Engineering & Material Sciences, vol. 14, pp. 177-183, June 2007.
X. Shigeo OYAMA, Tadashi KASUYA and Kouichi SHINADA, “High-speed one-side submerged arc welding process “NH-HISAW”, NIPPON Steel Technical Report No. 95 January 2007, UDC 621. 791: 753. 5.
XI. V. Gunaraj and N. Murugan, “Prediction and comparison of the area of the heat-affected zone for the bead-on-plate and bead-on-joint in submerged arc welding of pipes”, Journal of Materials Processing Technology, vol. 95, pp. 246-261, 1999.
XII. Y.S. Tarng, S.C. Juang and C.H. Chang, “The use of grey-based Taguchi methods to determine submerged arc welding process parameters in hardfacing”, Journal of Materials Processing Technology, vol. 128, pp. 1–6, 2002.

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