iosr-jmca   Volume-9 ~ Issue-2 ~ Mar. - Apr. 2022

ABSTRACT: The conventional technique of measuring the quality of water is to gather the samples manually and send it laboratory for analysis, but this technique is time overwhelming and not economical. Since it's not feasible to take the water sample to the laboratory after every hour for measuring it's quality. The water quality measuring system can measure the essential qualities of water in real time. The system consists of multiple sensors to measure the standard of water, microcontroller and Cloud dashboard display to show the information about the parameters to the end users. It's a true time system which is able to endlessly measure the standard of water and can send the measured values to the Cloud when each predefined time. The system relies on microcontroller ESP8266.An individual easy to know the quality of water at any point of time at any place and at the any time without putting any money and in an easy and in an efficient manner.

Key wards: Microcontroller, Multiple sensors, Water Quality Measuring, Cloud Dashboard Display

[1]. Mo Deqing, Zhao Ying, Chen Shangsong, "Automatic Measurement and Reporting System of Water Quality Based on GSM," 2012 International Conference on Intelligent System Design and Engineering Application.
[2]. https://en.wikipedia.org/wiki/ESP8266#:~:text=The%20ESP8266%20is%20a%20low,Espressif%20Systems%20in%20Shanghai%2C%20China.&text=This%20small%20module%20allows%20microcontrollers,connections%20using%20Hayes%2Dstyle%20commands.
[3]. Dong He,Li-Xin Zhang," The Water Quality Monitoring System Based on WSN," 1Institute of Mechanical and electronic information, China University of Geosciences (WuHan), WuHan,China, 978-1-4577-1415-3/12/$26.00 ©2012 IEEE
[4]. Nazleeni Samiha Haron, Mohd Khuzaimi B Mahamad, Izzatdin Abdul Aziz, Mazlina Mehat," A System Architecture for Water Quality Monitoring System Using Wired Sensors," Computer and Information Science Department, 978-1-4244-2328-6/08/$25.00
[5]. © 2008 IEEE
[6]. Xiwu He," Design of Automatic Control system for Waterworks based on PLC," 978-1-4577-0536-6/11/$26.00 ©2011 IEEE

ABSTRACT: Electromyogram (EMG) contamination has been shown to affect electroencephalogram (EEG) signals. Therefore, methods of isolating and removing EMG contamination are a focus of research. One of the most common ways to eliminate this contamination is through independent component analysis (ICA). Also, surface Laplacian (SL) has been proven to isolate the distant sources of EEG signals. The objective of this paper is to demonstrate the effects of EMG contamination on EEG signals using the Neurophysiological Biomarker Toolbox (NBT) and the impact of applying ICA, and ICA + SL on raw data. In this paper, the method for preparing the data is ICA with an auto-pruned method and SL using a flexible spherical spline. Machine learning was used to classify three......

Key Word: Electromyogram(EMG); electroencephalogram (EEG); Laplacian (SL); Machine learning; frequency bands

[1]. BASHASHATI, A, FATOURECHI, M, WARD, RK & BIRCH, GE 2007, 'A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals', Journal of Neural Engineering, vol. 4, no. 2, R32-57.
[2]. BASHASHATI, A, FATOURECHI, M, WARD, RK & BIRCH, GE 2007, 'A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals', Journal of Neural Engineering, vol. 4, no. 2, R32-57.
[3]. BEBIS, G & GEORGIOPOULOS, M 1994, 'Feed-forward neural networks', IEEE Potentials, vol. 13, no. 4, pp. 27-31.
[4]. BELL, AJ & SEJNOWSKI, TJ 1995, 'An information-maximization approach to blind separation and blind deconvolution', Neural Computation, vol. 7, no. 6, pp. 1129-1159.
[5]. DELOSANGELES, D 2010, Electroencephalographic, Cognitive and Autonomic Correlates of States of Concentrative Meditation, Flinders University, Adelaide..

ABSTRACT: VLAN communication experiment is one of the most important teaching difficult points of Computer Network Technology Courses, in the circumstance of lacking of the experiment equipment's, traditional experimental teaching method cannot fulfill the learning needs of related personnel. However, virtual demonstration experiment generates to solve this problem. In this paper, a design of VLAN communication experiment with virtual demonstration mode is shown. The realization of the practical project both in software and hardware aspects is also presented and its characters and practical values are emphasized. At last, an analysis has been made for several involved factors that exist in this experimental teaching mode..

Keywords: VLAN; Computer Network Technology; VLAN communication experiment; Virtual demonstration experiment; Experimental teaching mode;

[1] Wenliang Cao.Division Method of VLAN in Local Area Network.Computer Era.2011,7:18-20.(In Chinese).
[2] Yucheng Pang. Research on the VLAN Switching and Routing Technology. Computer CD Software and Application 2011,7:56. (In Chinese)
[3] Ruoming Li,Xingyu Wang.Realization of the Communication between the VLANs with the Third Layer Switch Technology.Ethernet&Fieldbus.2004,4:66-68.
[4] Senses et al.The Internet Chemsitry Set:Web-based Remote Laboratories for Distance Education in Chemistry . http://imej.wfu.edu/articles/2000/2/06/indes.asp.2008,9-23.
[5] Weina Mi,et al.Teaching Design of VLAN Experiment Based on the Boson Netsim Virtual Platform. Modern Educatinal Technology.2008,10:121-123.

ABSTRACT: The manual document summarization of any document is very tedious job and such summarized documents may differ and lead to diverse results. To avoid this problem, automatic text summarization plays very vital role. An Automatic Text Summarization (ATS) System gives the summary of any document without changing it's meaning and with less sentences. There are a lot of ATS systems available for various languages. In India, variety of regional languages are spoken and people do prefer to read the books, news articles, journals, magazines in their regional language only. Here emanates the summarization of regional language of Maharashtra i.e. Marathi. The Marathi text summarization is now imperative task and it is equally significant for the young one's too. The System is developed according to the need of students, who are willing to give competitive exams and they do need the awareness of current affairs in terms of daily news articles. This system summarizes Marathi news articles using machine learning algorithm

Keywords: ATS (Automatic Text Summarization), Gensim, Unsupervised Extractive Text Summarization

[1]. Apurva D. Dhawale, Sonali B. Kulkarni, and Vaishali Kumbhakarna, "Survey of Progressive Era of Text Summarization for Indian and Foreign Languages Using Natural Language Processing", ICIDCA 2019, LNDECT 46, pp. 654–662, Springer Nature Switzerland AG, 2020.
[2]. Apurva D. Dhawale, Sonali B. Kulkarni, and Vaishali Kumbhakarna, "A Survey of Distinctive prominence of Automatic Text Summarization Techniques Using Natural Language Processing", International conference on mobile computing and sustainable informatics, (ICMCSI), Springer conference, Tribhuvan university, Nepal, 2020.
[3]. Apurva D. Dhawale, Sonali B. Kulkarni, Vaishali M. Kumbhakarna, "Automatic Pre-Processing of Marathi Text for Summarization", International Journal of Engineering and Advanced Technology (IJEAT), ISSN: 2249-8958, Volume-10 Issue-1, October 2020.
[4]. Apurva D. Dhawale, Sonali B. Kulkarni, Vaishali M. Kumbhakarna, "A Machine Learning Approach for Automatic Unsupervised Extractive Summarization of Marathi Text", International Journal of Creative Research Thoughts (IJCRT), ISSN: 2320-2882, Volume 8, Issue 11, November 2020.
[5]. Pooja Bolaj, SharvariGovilkar, "Text Classification for Marathi Documents using Supervised Learning Methods", International Journal of Computer Applications (0975 – 8887), Volume 155 – No 8, December 2016.

ABSTRACT: Today, unauthorized access to data, propagation and modification of data bring many problems. Data leakage techniques are used to solve these problems. However, a model that will ensure data privacy by protecting the data of all patients in hospitals has not been fully developed. In our study, it is aimed to provide data confidentiality by labelling the patient's data. The patient's data are called EHD (Electronic Health Data) objects. Thus, each patient is provided with access to the information he/she authorizes. Each patient carries out the security management of their own health data.

Keywords: data leakageprevention, data access, authorization, data breach, privacy

[1]. Prathaben K., "Data LossPrevention", SansInstituteInfosec Reading Room, 2008.
[2]. Asaf S., Yuval E. AdnLion R., "A Survey of Data LeakageDetectionandPrevention Solutions", 2012.
[3]. Jorge B., Julio C. andJuan E.T., "BypassingInfprmationLeakageProtectionwithtrustedapplications", Computer& Security, pp.557-568, 2012.
[4]. "Data LeakPrevention", Isaca White Paper, 2010.
[5]. PrathabenKanagasingham,"Data LossPrevention", SansInstituteInfoSec Reading Room, 2008

ABSTRACT: The field of autonomous automation is of interest to researchers, and much has been accomplished in this area, of which this paper presents a detailed chronology. This paper can help one understand the trends in autonomous vehicle technology for the past, present, and future. We see a drastic change in autonomous vehicle technology since 1920s, when the first radio controlled vehicles were designed. In the subsequent decades, we see fairly autonomous electric cars powered by embedded circuits in the roads. By 1960s, autonomous cars having similar electronic guide systems came into picture. 1980s saw vision guided autonomous vehicles, which was a major milestone in technology and till date we use similar or modified forms of vision and radio guided technologies. Various semi........

Key Word: Self driving cars, CNN,Image processing , Automation

[1]. https://www.researchgate.net/publication/283757446_Autonomous_Cars_Past_Present_and_Future_-_A_Review_of_the_Developments_in_the_Last_Century_the_Present_Scenario_and_the_Expected_Future_of_Autonomous_Vehicle_Technology
[2]. https://www.emerald.com/insight/content/doi/10.1108/IJIUS-08-2017-0008/full/html
[3]. https://www.researchgate.net/publication/336670846_Object_Detection_for_Autonomous_Vehicle_Using_TensorFlow
[4]. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3388008