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Machine Learning is now one of the thrust areas where computers are trained automatically learn from the given data automatically without any human intervention. It is the study of making machine learn automatically and do the things through algorithms which humans are doing without being explicitly programmed. Decision making is a major problem that effects the entire system under consideration irrespective of commercial databases, transactional databases, e-commerce data, social networking data or any other of that kind. Predicting the future and taking a right decision at right time is a big challenge. Supervised machine learning algorithms are solutions to those kinds of problems that are faced. They have a wide range of applications. Due to the lack of well-defined principles, choosing a suitable ML algorithm for a given problem and data is a big challenge. In this paper it is intended to do a quick and brief review of famous machine learning classification algorithms, their advantages and disadvantages, their area of application and suitable algorithm suggestion for particular type of problems. In this paper evaluation is done on supervised machine learning algorithms. Based on evaluation comparison of supervised algorithms is done.

Supervised learning, classification, regression, Naïve Bayes theorem, SVM, Linear Regression, Decision Trees, coronary artery disease (CAD)

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M. Prameela, M. Kamala Kumari, "Comparison and Evaluation of Various Machine Learning Algorithms on Heart Disease Data Set," International Journal of Computer Sciences and Engineering, Vol.10, Issue.7, pp.1-11, 2022.

ATM machine is a great piece of technology used by millions of people around the world. It makes our daily transactions easier without loading up the banking systems. However, it is important to keep them secure from thefts and other malicious activities. This work deals with the prevention of ATM theft from robbery, so overcome the drawback found in existing technology in our society. Whenever robbery occurs, Vibration sensor is used here which senses vibration produced from ATM machine. Here DC Motor is used for closing the door of ATM when the vibration is sensed, also a buzzer is also used, once the vibration is sensed, beep sound will occur from buzzer. Furthermore, infrared sensor is also used to develop the automatic light switching system. The automatic light switching system will lead to energy saving and efficient energy usage which could benefit every single individual. This system is developed with safety environment, switching the light ‘ON’ or ’OFF’ during entry and exit. In this paper we have proposed a model for smart security and electricity saver system developed with the help of Arduino uno kit and sensors.

ATM security system, ATM anti-theft system, light control switching, Arduino uno, Infrared System

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Deepak Kumar Verma, Karunesh Singh, Ayush Srivastav, Vartika Singh, "IOT based Smart Framework for ATM Security with Electricity Saver," International Journal of Computer Sciences and Engineering, Vol.10, Issue.7, pp.12-15, 2022.

Manufacturing sector is continuously now and then blamed for heavy pollution and contamination. It is always associated with the environment deterioration. Whenever any industry setup its infrastructure, it is essential to get a green go from the environment conservation board. We know the real development of any country very much depends on the industrial development of the country. Manufacturing technologies are considered as the source for providing the goods and services for any further use and development. But it is also true that Environment protection carries the same importance as industrial development. That’s why it is mandatory to adopt those manufacturing technologies, which can promote the development without hampering the natural balance. Manufacturing technologies, which helps in sustaining the natural balance of environment come under the Smart manufacturing. Smart manufacturing is considered as the key for sustainable development. Smart manufacturing includes technologies like Artificial intelligence, Digital technologies, 3- Dimension printing, Block Technologies, Data Analytics, RFID and many more. This aim of this research paper is to identify the technologies which comes under Smart manufacturing and helps in Sustainable development. The researcher also wants to find the future scope of these technologies in India.

Sustainable Development, Manufacturing, Smart Manufacturing, Technologies, Environment, Industrial 4.0

[1] Awasthi Ankita, Saxena Kuldeep, Arun Vanya, “Sustainable and smart metal forming manufacturing process”, Materials Today, Vol. 44, Issue 1, pp 2069-2079, 2021
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[3] Thoben, Klaus-Dieter & Wiesner, Stefan & Wuest, Thorsten. "Industrie 4.0" and Smart Manufacturing – A Review of Research Issues and Application Examples”. International Journal of Automation Technology. Vol. 11,Issue 1, pp.4-19, 2017.
[4] Wang, Baicun, Fei Tao, Xudong Fang, Chao Liu, Yufei Liu, and Theodor Freiheit. "Smart manufacturing and intelligent manufacturing: A comparative review." Engineering . Vol.7, Issue 6 pp.738-757,2021
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[6] Claudi favi, Marco Marconi, Michelle Germani, “Sustainable life cycle and energy management of discrete manufacturing plants in the industry 4.0 framework”.Applied energy. Vol 312 , Issue 1 , PP. 23-31, 2022.

Rekha Dhananjay Chatare, "Smart Manufacturing for Sustainable Development & Its Future in India," International Journal of Computer Sciences and Engineering, Vol.10, Issue.7, pp.16-19, 2022.

The intelligent coaching agent for enhancing employee performance appraisal was designed to appraise the employee performance and illustrated how intelligent coaching agent – supervised learning can be used as a support tool for the assessment of employee task performance. We have shown how it provides weight score for each task and later used for the evaluation of the team performance in terms of job executed as against the expected performance. We have also indicated how it gives manager the ability to incorporate accuracy levels for the staff performance appraisal. The new system allows employee, team managers and general manager to access their performance records from any point of internet access point. The system has facilities: staff registration module, setting up of task and assigning weight scores to the task, assigning task to individuals in the team, monitoring the execution of those task, comparative analysis of the performance using supervised learning to determine the level of performance based on the assigned task against the task executed by the team. The result obtained from the testing of the new system shows a high level of accuracy in determining the team performance and rates it in percentage.

Supervised Learning, Employee Appraisal and Team Managers.

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Onukwugha Chinwe Gilean, Amanze Bethran Chibuike, Udegbe Ikechukwu Valentine, "Study on Theoretical Aspects of Enhanced Intelligent Coaching Agent in Employee Performance Appraisal in Tertiary Institutions in Nigeria," International Journal of Computer Sciences and Engineering, Vol.10, Issue.7, pp.20-26, 2022.

Microservices architecture is distributed in nature and the expectation is the services in the architecture must be highly available and responsive. Services in the architecture can scale from 1 to 100s and the distributed architecture is complex, and the chances of failure are higher when services communicate to each other. The main advantage of microservice architecture is we can easily mix technologies depending upon the nature of service, if the service is CPU or IO bound then we can develop the service based on the language or framework of our choice, similarly if we have hundreds of services in our architecture than we can build a proper debugging system for our microservices using any platform / frameworks two such libraries are Pandas or PySpark. This paper focuses on creating our own debugging tool in the Microservices architecture using python-based libraries PySpark and Pandas and the concept of Actuators.

Microservice,Pandas,Spark,Actuator,SpringBoot,PyActuator,DataFrames

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Sameer Shukla, "Debugging Microservices with Pandas, PySpark using Actuators and Logs at Runtime," International Journal of Computer Sciences and Engineering, Vol.10, Issue.7, pp.27-30, 2022.

As the name Aadhar Data Collection Android Application suggests, this document provides detailed information about the Aadhar Data Collection Android Application (District Aadhar Data Collection Application (Dhar)), the data collected from users and managed by the administrator of the application. The industry of mobile application is growing rapidly with the new mobile technologies. Which was composed of multiple operating systems such as Symbian OS, Android OS, iOS and Blackberry etc are considered to be the most widely used operating systems and are user friendly mobile platform.

Data Collecting Application; Aadhar Data Collection Application; Data Collecting Android Application

[1] Patrick Loola Bokonda , Mohammed V university Rabat, Morocco, Khadija Ouazzani-Touhami, Nissrine Souissi, ” a realistic analysis of cell records collection Apps” global journal of Interactive cell technologies (iJIM) 2020.
[2] Seiren Al-Ratrout1 , Omar Husain Tarawneh1 , Moath HusniAltarawneh2 and Mejhem Yosef Altarawneh2, “Mobile Application Development Methodologies Adopted in Market”, International Journal of Software Engineering and Applications, Vol.10, No.2, March 2019.
[3] James C. Sheusi, Android Application Development for Java Programmers, 1st Edition, Publisher: Course Technology PTR, 2013. We are using this book for the for XML Layout Designing, We prefer Page No.30.
[4] Pandey A et al,” International Journal of Community Medicine and Public Health AppDatCol, http://www.ijcmph.com.” Int J Community Med Public Health. Applications for data collection, 2021.
[5] We are using Agile Software Development Life Cycle in our Development Methods (Online), We prefer the link to know about it. https://www.javatpoint.com/agile-sdlc.
[6] Android Development works on Activities and Layouts for Layouts working and its designing we prefer the given link, (Online)https://developer.android.com/develop/ui/views/layout/declaring-layout.

Chandra Prakash Patidar, "Aadhar Data Collection Android Application Using Google Firebase Database Technology," International Journal of Computer Sciences and Engineering, Vol.10, Issue.7, pp.31-35, 2022.