Pub Date : 2023-08-19DOI: 10.47992/ijcsbe.2581.6942.0300
Sudip Chakraborty, P. S. Aithal
Purpose: To trigger the electrical switchboard by the kids not only harmful but also life risk. We always keep our kids away from it. We take lots of precautions not to touch it anyway. However, sometimes we need to operate electrical loads like a fan, TV, etc., by our kids when we are engaged with another essential task. We know it is unsafe, but sometimes we do. Here we demonstrate how to create a switchboard for kids to turn on/off the bedroom electrical load safely. We created an electrically isolated switchboard for them. It operates using small batteries and has no electrical connection with high-voltage AC. It is fixed on the wall using glue inside the kid's reachable area. It is entirely IoT based. When Kids press any switch, the ESP module sense and upload the corresponding command to the AWS shadow register. Then, AWS sends the updated content to the MQTT client running in another ESP module connected to all electrical equipment. According to the command module, turn the equipment on/off. The Code is available on GitHub to continue the research work. Design/Methodology/Approach: we installed some feather-touch soft switches inside the system. All buttons are connected with NodeMcu (ESP Module) GPIO. The complete tiny module may be fixed beside the Bed. We need two nos. AAA battery as a power supply to run the miniature system. Turn on the system. It will try to communicate with the nearest configured wifi router. If the wifi connection is OK, it will try connecting with the AWS IoT server using the hardcoded configuration profile inside the “secret. h” file. After successfully connecting with the AWS IoT server, the ESP module is ready to send the command. On the other hand, another Wifi module is connected to all electrical equipment. When powered up, it tries to communicate with the AWS IoT server through the internet using connected Wifi. Once connected, it is ready to receive the command to trigger the load. Findings/Result: The described procedure is a unique application of an electrical switchboard that kids will use. We tested it in real life. It is working well. The AWS IoT is also a secure and robust, and cheap solution. So recurring cost to operate the device is as low as possible. The automation researcher or enthusiast can replace traditional switchboards with IoT-based intelligent devices for our daily life operations. Originality/Value: We designed a switchboard for kids differently using the latest emerging technology IoT. The traditional electrical switchboard is unsafe for kids, but this technology is better and completely safe. So we can quickly adapt to our modern lifestyle. Paper Type: Experimental-based Research.
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Pub Date : 2023-06-05DOI: 10.47992/ijcsbe.2581.6942.0274
Elvira Monteiro, James Joseph
Purpose: This review paper's objective is to look into how workplace culture affects the results of employee mental health and well-being. The review will cover the body of research on the subject and offer a thorough grasp of the elements that influence both healthy and unhealthy workplace cultures. Methodology: The systematic search and selection of pertinent studies on workplace culture and employee mental health and well-being will be the emphasis of this review study. Several peer-reviewed academic research examine and take into account the study's theoretical foundations. The majority of the information used in this article is taken from secondary sources. Journal articles and academic research publications provide secondary data. Findings: The findings demonstrate that organisational culture has a major impact on the mental health and wellbeing of employees. Through developing supportive leadership, social support, suitable job expectations, work-life balance, and effective regulations, healthy workplace cultures that promote employee mental health and well-being can be improved. The outcomes of employee mental health and well-being, however, can be negatively impacted by unfavourable workplace cultures, which are defined by unsupportive leadership, a lack of social support, excessive job demands, a lack of work-life balance, and insufficient policies. The study also discusses opportunities for future research, such as the need to look into the potential effects of workplace culture on certain mental diseases and the moderating effects of individual traits. Originality/Value: By offering an exhaustive synthesis of the body of research on the subject, this review paper makes a significant contribution to the body of knowledge on workplace culture and employee mental wellbeing and well-being. The study report will also offer useful recommendations for businesses, decision-makers, and practitioners on how to foster supportive work environments and enhance employee mental health and wellbeing. Overall, this review paper significantly contributes to our understanding of how workplace culture affects outcomes related to employee mental health and well-being. Paper Type: Literature Review
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Pub Date : 2023-01-16DOI: 10.47992/ijcsbe.2581.6942.0243
Laveena C Crasta, Shailashri V. T.
Purpose: The demand for management education is on a constant surge that has resulted in quality check of the students who are employed and will be of value to the organisation and country at large. This paper attempts to explore the literature that will help in understanding the students’ employability based on attributes that are vital to both industry and academia. The employability prediction model will help the management to understand the students’ output quality in terms of being employable or not. It will also help them to improve employability through proper intervention by training and development programs. Methodology: The study is based on the literature of employability models that have been developed using various approaches especially that of machine learning. The published research papers in various journals that were reviewed range from the time period 2006 -2022 have been analysed using ABCD analysis. Findings/Result: The employability models have been developed using machine learning approaches. The necessity of an accurate employability prediction model that serves as a guide to help students and faculty is the need of the hour. Originality Value: Employability models are of great value to the students and institutions as they provide a silver lining in knowing the students’ employability. There are several gaps in terms of building an appropriate model that will serve as a scale to measure the uncertainty that exists in knowing the quality of output produced by management educational institutions. Type of Paper: Review paper.
{"title":"A Systematic Review on the Employability Prediction Model for the Management Students","authors":"Laveena C Crasta, Shailashri V. T.","doi":"10.47992/ijcsbe.2581.6942.0243","DOIUrl":"https://doi.org/10.47992/ijcsbe.2581.6942.0243","url":null,"abstract":"Purpose: The demand for management education is on a constant surge that has resulted in quality check of the students who are employed and will be of value to the organisation and country at large. This paper attempts to explore the literature that will help in understanding the students’ employability based on attributes that are vital to both industry and academia. The employability prediction model will help the management to understand the students’ output quality in terms of being employable or not. It will also help them to improve employability through proper intervention by training and development programs. Methodology: The study is based on the literature of employability models that have been developed using various approaches especially that of machine learning. The published research papers in various journals that were reviewed range from the time period 2006 -2022 have been analysed using ABCD analysis. Findings/Result: The employability models have been developed using machine learning approaches. The necessity of an accurate employability prediction model that serves as a guide to help students and faculty is the need of the hour. Originality Value: Employability models are of great value to the students and institutions as they provide a silver lining in knowing the students’ employability. There are several gaps in terms of building an appropriate model that will serve as a scale to measure the uncertainty that exists in knowing the quality of output produced by management educational institutions. Type of Paper: Review paper.","PeriodicalId":470158,"journal":{"name":"International journal of case studies in business, IT, and education","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135695400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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