International Research Journal on Advanced Science Hub,
2023, Volume 5, Issue 03, Pages 71-83
DOI:
10.47392/irjash.2023.016
Continuous improvement activities are widely deployed, applying the DMAIC cycle in the Lean Six Sigma method combined with 5s activities and industrial engineering tools such as Man-Machine chart statistics tools in DFSS (Design For Six Sigma). The results of the improvement activity must be approved and operated by the machine operator, measuring the loyalty of operators, users and system maintainers after kaizen against satisfaction criteria, technicality, usefulness and convenience are needed. This study proposes a model that com- bines the PLS - SEM method to measure user loyalty and implement a training program for users on incorrect performance results to improve CDIO stan- dards. The result is a reduction of workers at the processing line from 4 people on two shifts to 2 people, and the amount of money brought in is 10,224 USD per year. Defect of negative outside diameter decreased from 31.2% to 4.5% based on the amount of waste reduction of USD 980 per year. In terms of productivity increased from 15 units per hour per person to 30 units.
International Research Journal on Advanced Science Hub,
2023, Volume 5, Issue 03, Pages 84-90
DOI:
10.47392/irjash.2023.017
In today’s world, everyone is preoccupied with work and other activities, leav- ing little time to visit doctors about illnesses that may appear to be minor at first but develop into life-threatening conditions as time passes. As a result, the proposed model accesses a public repository that maintains numerous symp- toms and their possible diseases as a matrix for early disease prediction and prevention. Symptoms are received from the user and fed into the embed- ded blending algorithm to estimate the type of disease. The patient’s records are collected from the several hospitals and the resulting massive volume of data, which results in inefficient prediction model using the machine learning approaches. Since the proposed model is a combined approach of training mechanism, it can reduce the number of accessing records in every step. Tra- ditional approaches like bagging and boosting construct more number of deci- sion trees because of the vast amount of data. This results in the utilization of more number of resources and sometimes CPU enters into saturation state. The proposed system solves this problem by using optimized parameters for tree construction and reduces the memory and resource utilizations.
International Research Journal on Advanced Science Hub,
2023, Volume 5, Issue 03, Pages 91-102
DOI:
10.47392/irjash.2023.018
The Covid- 19 pandemic had a significant impact on populations throughout the world. As countries implemented lockdowns or restrictions on movement of people, and most services and activities were shifted to online mode, it had a cascading effect on social lives too. As the usual entertainment and recre- ational choices were no longer viable, people shifted their attention towards other modes of entertainment, viz., digital entertainment, social media etc. As young adults, college students have a rich and varied social life. The present study investigates the impact of the pandemic on the entertainment and recre- ational trends among the engineering students of West Bengal. The study utilizes descriptive and inferential statistical tools using SPSS version 20 to investigate how social activities among the students were affected by the pan- demic. The study reveals that, while cultural/sports activities and social out- ings were the two most preferred offline entertainment choices pre and post- pandemic, a significant percentage of students shifted to other forms of offline entertainment post-pandemic [(Saha)]. On the other hand, in case of online entertainment choices, number of students preferring online streaming services increased post-pandemic (48.3 % from 40%). It has also been found that stu- dents spent more time on online entertainment mediums post- pandemic than before (4 hours from 3.2 hours per day on average). A decrease in average monthly expenditure can be observed for offline entertainment activities while a significant increase is noted for online entertainment consumption (Saha). Interestingly, while gender has been found to have an impact on the entertain- ment preferences in all cases, area of residence (rural/urban) has an impact only on online entertainment preferences post pandemic.
International Research Journal on Advanced Science Hub,
2023, Volume 5, Issue 03, Pages 103-110
DOI:
10.47392/irjash.2023.019
Our lives are being significantly impacted by the rapid development of wire- less technology and mobile gadgets on this day. The digital economy demands that services be developed almost instantly while also paying close attention to client feedback. It becomes difficult to manage and analyse the informa- tion gathered about products from customers. Successful businesses typically gather reasonable input on customer behaviour, comprehend their clients, and maintain ongoing contact with them. But it’s not an easy task to keep a record of each and every customer’ feedback on a daily basis. Also, everyone is not intended to provide clear feedback whether the product was satisfactory or not. It is a very difficult and time-consuming task to analyse the data collected man- ually. Companies need automation of customer feedback processing in order to quickly use the data that has been collected and analyse consumer feedback. To proceed with the problem and through much research we came across a solution, Emotica.AI, an emotion recognition system which can overcome this situation in real time. Emotion recognition plays an important role in building interpersonal relationships. Speaking, making facial expressions, gesturing, or writing are all ways that people directly or indirectly convey their feelings. Now that AI has mastered the power of learning, it is capable of treating any- thing just like a human would. The proposed model is built with Haar-Cascade Algorithm and classified with CNN and is able to recognise the emotions of multiple faces in a real time scenario. Accuracy of this model is around 76% is achieved for seven emotions on a real -time basis. Our goal is to develop a real time implementation of an emotion detection system with better accuracy and make it more reliable for businesses and other purposes.
International Research Journal on Advanced Science Hub,
2023, Volume 5, Issue 03, Pages 111-118
DOI:
10.47392/irjash.2023.020
Attendance management is an essential process for organizations, particularly in the education and corporate sectors. Conventional attendance management systems are prone to errors and inefficiencies. The recent advent of IoT and cloud computing technologies has revolutionized the way attendance is man- aged, leading to more accurate and efficient systems. In this research paper, we propose architecture for an attendance management system that utilizes IoT, AWS, and an RFID module with an Arduino Uno board. The proposed system aims to automate the attendance management process and eliminate the drawbacks of traditional systems. The proposed system has two main com- ponents: the hardware and the software. The hardware component includes an RFID module connected to an Arduino Uno board, which is used to cap- ture attendance data. The software component is built using Python Django and hosted on the AWS cloud, responsible for storing and processing the atten- dance data. The system provides real-time attendance tracking and reporting and can be accessed from anywhere using a web or mobile application. The proposed architecture was implemented and tested in a real-world scenario using an RFID-enabled tag or card for attendance, and the results show that it is more accurate and efficient than traditional attendance management sys- tems. The system provides a reliable and cost-effective solution for attendance management, which can be implemented in different organizations. The pro- posed system provides real-time attendance tracking and reporting accessible through a web or mobile application. The expected results of this proposed architecture are more accurate and efficient than traditional attendance man- agement systems, making it a cost-effective and reliable solution for attendance management in various organizations.
International Research Journal on Advanced Science Hub,
2021, Volume 3, Issue 2, Pages 23-29
DOI:
10.47392/irjash.2021.026
The Covid-19 pandemic has made a huge impact on the e-commerce industry. The industry has experienced some benefits and problems during the pandemic. People tend to buy more items online as it can be more secure when it comes to the spread of disease. The reports are saying that overall e-commerce industry is having an increased sales growth. Many methods and techniques are being used by the e-commerce industry to make-up the negative impacts that happened to online business during the Covid-19 pandemic. This study is done to deeply analyse the problems and factors that are affecting the Online businesses and to know about the situations of e-commerce business in different parts of the world.
International Research Journal on Advanced Science Hub,
2019, Volume 1, Issue 2, Pages 5-10
DOI:
10.47392/irjash.2019.12
This paper presents the design, analysis and comparison of different types of dc-dc converters. Now days due to lack of conventional energy sources like coal, petrol, diesel etc., demand of electricity is rising day to day. To fulfill this demand of electrical energy alternative methods are very much important now. The researchers stand motivating in solar energy generation, dc-dc converters etc. In this paper Performance analysis of different dc/dc converters and comparative study of them is focused. All converters will work in Continuous conduction mode. The performance analysis of different converters (Buck, Boost, Buck Boost, CUK, SEPIC, Positive Output Super-Lift Luo Converter) and comparison of those converter’s simulation results discussed using MULTISIM 14.0.
International Research Journal on Advanced Science Hub,
2020, Volume 2, Issue 7, Pages 1-5
DOI:
10.47392/irjash.2020.56
There was a big question about the transition to online learning on around the world, could it motivate student as good as the traditional methods? This study is aimed at finding out the effectiveness of virtual discussion for improving motivation of students during the Covid-19 pandemic. A total of sixty Christian students of State Vocational High School Malang were involved in the study, separated in two classes. The first class was treated with virtual discussion method and the other class as a control class. This study used a quasi-experimental research design, and analyzed using a paired sample t-test. The result obtained sig. 0.000 less than 0.05, showed a significant difference in the mean scores, indicated that virtual discussion was effective for improving motivation of students. From the finding, it is recommended to use virtual discussion in Christian education, against Covid-19 pandemic effect.
International Research Journal on Advanced Science Hub,
2020, Volume 2, Issue Special Issue ICSTM 12S, Pages 4-8
DOI:
10.47392/irjash.2020.252
After the outbreak of Covid-19 pandemic there had been huge changes in the shopping behaviour of customers across world. From bulk buying to online shopping there is a major change in what, when and how people are buying. As people are avoiding going to public places, online shopping has become even more prominent now. This paves the way for the online shopping stores giving them competitive advantage over traditional shopping stores. Amazon and Flipkart, which are the two most leading online shopping stores have also been beneficially affected by this shift of customer purchasing behaviour. Both Amazon and Flipkart are seeing accelerated growth in online sales fuelled by first time buyers and sellers from small towns. In this study the overall customer attitude towards the two sites is measured and compared with the help of Fishbein Multi-Attribute Model. An analysis is done to determine the important attributes that matters more to the customers ,on which these online sites need to focus on and also the perception of customers on performance of the two sites on those attributes is assessed.
International Research Journal on Advanced Science Hub,
2021, Volume 3, Issue Special Issue ICARD-2021 3S, Pages 124-128
DOI:
10.47392/irjash.2021.079
The "Smart Health Prediction Using Machine Learning" system, based on predictive modelling, predicts the disease of patients/users on the basis of the symptoms that the user provides symptoms as an input to the system. The application has three login options: user/patient login, doctor login, and admin login.The device analyses the symptoms given by the user/patient as input and provides the likelihood of the disease as output based on the prediction using the algorithm. Smart health predictions are made by the implementation of the Naïve Bayes Classifier. The Naïve Bayes Classifier measures the disease percentage probability by considering all its features that is trained during the training phase.Exact interpretation of disease data benefits early patient/user disease prediction and provides clear vision about the disease to the user. After a prediction, the user/patient can consult a specialist doctor using a chat consulting window. It uses machine learning algorithms and database management techniques to extract new patterns from historical data. The Forecast Accuracy can improve with the use of a machine learning algorithm and the user/patient will get fast and easy access to the application.
International Research Journal on Advanced Science Hub,
2021, Volume 3, Issue Special Issue 6S, Pages 182-185
DOI:
10.47392/irjash.2021.187
The COVID-19 pandemic has affected all levels of educational systems worldwide, leading to the near-total closures of schools, universities and colleges.There are so many negativeimpacts of covid-19 on every sector in world and nowadays everyone is discussing and focusing on losses and drawbacks of covid-19. We should bring out ourselves from this worst situation and be positive. This paper was prepared to show some positive impact of pandemic on education., students, teachers, researchers and nonteaching staffs of school, colleges and universities. The main purpose of this paper is to remove the feeling of loss from mind of academician, students, research scholarsandothers. There are number of positive impacts of covid-19 on education, environment, human life, business etc. This paper enlightens the people with positive impact of covid-19 pandemic lock down on education.Because the positivity, there is reduction in depression andstress, as a result one can be more energetic and ambitious. Positivity helps us grow and improve our health.
International Research Journal on Advanced Science Hub,
2020, Volume 2, Issue Special Issue ICAMET 10S, Pages 127-131
DOI:
10.47392/irjash.2020.210
Education is continuing its journey since man is on earth. It may be the nature taught man in the yester years, gurukulas in the golden period of many kings, Government Schools and colleges’ post-independence era and convents, international schools, deemed universities in the 21st century, its common objective of all these institutions is to educate the human race. Education is not just reading the books and getting a degree from a University, it is the holistic development of an individual physically, mentally, financially and economically. The aim of education is to bring overall development of an individual and make him today a productive citizen, for tomorrow’s nation. Every country develops its education system to express and promote its unique socio-cultural identity and to meet the growing demand of job and career opportunities. The country has reached a stage in economic and technological progress and efforts must be made to ensure that the fruits of change reach all the sections of the society. The National Education Policy- 1986 focused on common curriculum framework that contains a common core along with other components that are flexible. Child-centric approach is given prominence in elementary education, followed by secondary education giving prominence to girl child education and SC, ST and BC categories of education. The National Education Policy-2020, which is reformed after 34 years, emphasized more on holistic approach with multi-disciplinary courses and students are facilitated with bucket system of choosing subjects of their interest. This paper focuses on the comparative study on the highlighted aspects of NEP of both 1986 and 2020.
International Research Journal on Advanced Science Hub,
2020, Volume 2, Issue 7, Pages 159-166
DOI:
10.47392/irjash.2020.82
This report aims to give an overview of a standalone automatic fan speed controller that controls the speed of an electric fan according to our requirement. With the help of the embedded technology makes more efficient and reliable with this closed loop feedback control system. This project is the Temperature Based Fan Speed Control & Monitoring with the help of the Arduino UNO and LM35 Temperature Sensor. In this the microcontroller controls the speed of an electric fan according to the requirement & allows faster control and the LCD display makes the system user-friendly. The LCD panel displays the Sensed temperature in Celsius Scale and fan speed in percentage simultaneously.
International Research Journal on Advanced Science Hub,
2019, Volume 1, Issue 2, Pages 5-10
DOI:
10.47392/irjash.2019.12
This paper presents the design, analysis and comparison of different types of dc-dc converters. Now days due to lack of conventional energy sources like coal, petrol, diesel etc., demand of electricity is rising day to day. To fulfill this demand of electrical energy alternative methods are very much important now. The researchers stand motivating in solar energy generation, dc-dc converters etc. In this paper Performance analysis of different dc/dc converters and comparative study of them is focused. All converters will work in Continuous conduction mode. The performance analysis of different converters (Buck, Boost, Buck Boost, CUK, SEPIC, Positive Output Super-Lift Luo Converter) and comparison of those converter’s simulation results discussed using MULTISIM 14.0.
International Research Journal on Advanced Science Hub,
2021, Volume 3, Issue 2, Pages 23-29
DOI:
10.47392/irjash.2021.026
The Covid-19 pandemic has made a huge impact on the e-commerce industry. The industry has experienced some benefits and problems during the pandemic. People tend to buy more items online as it can be more secure when it comes to the spread of disease. The reports are saying that overall e-commerce industry is having an increased sales growth. Many methods and techniques are being used by the e-commerce industry to make-up the negative impacts that happened to online business during the Covid-19 pandemic. This study is done to deeply analyse the problems and factors that are affecting the Online businesses and to know about the situations of e-commerce business in different parts of the world.
Publisher: RSP Science Hub
Email: editor.irjash@rspsciencehub.com
Editor-in-chief: Dr. R. Ranjith
Online ISSN: 2582-4376