Literature Review on Benefits, Opportunities, Challenges, Prospects of Online Teaching in Higher Education

Purpose: An analysis of literature review on benefits, opportunities, challenges, prospects of online teaching in higher education gives an insight into various factors leading to the effective implementation of online teaching in higher education institution. An honest attempt is made for enabling the teachers to understand these factors for adopting online teaching in higher education institutions. Design/Methodology/Approach: This study is a qualitative literature review, which is based on secondary data. This data is collected from various websites, journals, research papers, articles, several surveys, and reports. Findings/Results: Based on detailed analysis of literature review, assisted in finding out research gap and prospective research proposal which will help in the formulation of the future research study in the area of online teaching in higher education. Originality/Value: This paper analyses and identifies the research gap after a detailed analysis of the literature review. Based on the research gap, specifies the research proposal for further study. Paper Type: A literature review on benefits, opportunities, challenges, prospects of online teaching in Higher Education.

Accelerating the Race to Autonomous Cars – A Case Study

Background/Purpose: Every automaker is racing to generate self-driving innovations and some slew of fantastic tech firms and start-ups doing the same. The vehicle industry has a long history of implementing cutting-edge technologies to bring efficient, creative, and reliable vehicles to market, all while working to reduce production costs. Such innovations involve machine learning and computational intelligence, which are essential to automobiles progress. Machine learning (AI) technologies have made the innovative concept of self-driving vehicles an actuality. Today, global automotive rulers such as BMW, Volvo, and Tesla use intelligent automation to enhance production, raise production efficiency, and actually drive secure, extra relaxed, expanding, and increasingly enjoyable. This article provides a comprehensive analysis of Companies in the development of Autonomous vehicles and used ABCD analysis to examine the key parameters. Objective: Analyses the technology and business strategies of the companies in the Race of Autonomous cars. Design/Methodology/Approach: The information for this case study were gathered from various scholarly articles and websites. Findings/Result: The technological details of Artificial Intelligence, Self-driving car companies, laws and restrictions of different companies for using Self-driving vehicles, Autopilot driving features, sales volume and financial expansion, Impact of COIVID-19 on Autonomous vehicles business are studied. The impacts of COVID-19 on the autonomous car business are analysed using the ABCD framework. Originality/Value: The result provides a brief overview of different self-driving vehicle companies and self-driving technology building companies in the competitive race. Paper type: A Research Case study paper - focuses on companies in a race of producing Autonomous vehicles and the growth of those companies.

Application of Artificial Intelligence in Tesla- A Case Study

Background/Purpose: Artificial intelligence algorithms are like humans, performing a task repeatedly, each time changing it slightly to maximize the result. A neural network is made up of several deep layers that allow for learning. Financial services, ICT, life science, oil and gas, retail, automotive, industrial healthcare, and chemicals and manufacturing sectors are among the industries that employ these algorithms. The electric motor is a new concept, and the automobile industry is now undergoing intensive research to determine whether it is practicable and financially viable. There are already some first movers, such as Tesla, who have successfully established their model and are moving forward. Tesla is forcing the auto industry to adapt quickly. Tesla introduced Autopilot driver capability for its Model S vehicle. Tesla Autopilot is a suite of sophisticated driver-assist technologies that include traffic adjustment, congested roads navigation system, autopilot car-parks, computer-controlled road rules, semi-autonomous route planning on major roadways, and the ability to summon the vehicle out of a designated car-park. This article provides a comprehensive analysis of Tesla Company and Innovations of Autopilot Vehicles. Objective: This case study report addresses the growth of Tesla Company in the field of Autonomous Vehicles. Design/Methodology/Approach: The knowledge for this case study of Tesla was gathered from various academic articles, online articles, and the SWOT framework. Findings/Result: Based on the research, this paper discusses the technological histories, Autopilot driving features, safety concerns, financial plans, market challenges, different models, and how Tesla Inc. is accelerating the world's movement in multiple initiatives such as the contribution of the global economic system, study in the Artificial Intelligence and Machine Learning area. Originality/Value: This paper study provides a brief overview of Tesla Inc. given the various data collected, and information about Tesla Autopilot vehicles using Artificial Intelligence based Innovations in Entrepreneurial Oriented Cars. Paper type: A Research Case study paper - focuses on Application of Artificial Intelligence in Tesla Autopilot Vehicles and growth & Journey of the Tesla Inc. Company.

A Literature Review of the Detection and Categorization of various Arecanut Diseases using Image Processing and Machine Learning Approaches

Background/Purpose: Every scholarly research project starts with a survey of the literature, which acts as a springboard for new ideas. The purpose of this literature review is to become familiar with the study domain and to assess the work's credibility. It also improves with the subject's integration and summary. This article briefly discusses the detection of disease and classification to achieve the objectives of the study. Objective: The main objective of this literature survey is to explore the different techniques applied to identify and classify the various diseases on arecanut. This paper also recommends the methodology and techniques that can be used to achieve the objectives of the study. Design/Methodology/Approach: Multiple data sources, such as journals, conference proceedings, books, and research papers published in reputable journals, were used to compile the essential literature on the chosen topic and collect information from the arecanuts research centre and many farmers in the south Canara and Udupi districts, before narrowing down the literature that is relevant to the research work. The shortlisted literature was carefully assessed by reading each paper and taking notes as appropriate. The information gathered is then examined to identify the potential gap in the study. Findings/Result: Based on the analysis of the papers reviewed, discussion with farmers and research center officers, it is observed that, not much work is carried out in the field of disease identification and classification on arecanut using machine learning techniques. This survey paper recommends techniques and the methodology that can be applied to identify and classify the diseases in arecanut and to classify them in to healthy and unhealthy. Research limitations/implications: The literature review mentioned in this paper are detection and classification of different diseases in arecanut. Originality/Value: This paper focuses on various online research journals, conference papers, technical books, and web articles. Paper Type: Literature review paper on techniques and methods used to achieve the objectives.

Terminal++ for Robot Researcher Using C#

Purpose: Sometimes our robot researcher needs a terminal program to exchange the data with the robot or automation device. Nevertheless, the readily available terminal program lacks some functionality that is most relevant to the researcher. We feel that a featured rich terminal program can handle lots of communication overhead for the researcher and relieve them from repetitive and time-consuming tasks. In mind for this, we researched and developed a utility program. We added extra features like automatic send, change dynamic data, etc., so our robot researcher can test the system communication better. In this paper, we demonstrated the utility program in detail. It is built using C#, which is under the Microsoft dot net framework. The code is uploaded to GitHub. Anyone can download and use it. It can be customized for their need. All used classes are available in .cs format. Design/Methodology/Approach: This is the software utility program built by the dot net framework of Microsoft visual studio. It has a graphical user interface (GUI) and some object classes. It has a serial and ethernet interface to test the channel. Once the medium is selected, the application will send whatever is written in the input text box. The Data sending may be an automatic or manual process. In manual mode, after typing the command, we need to press the “Enter” key to send the data. In automatic mode, it will send automatically within the preset interval. The transmit and receive content is displayed inside the list box. Findings/results: sometimes, our project goes into a critical phase. We need to have good tools to overcome the situation immediately. This is a helpful tool to trace the communication-related issue. Using this tool, we can observe the outgoing and incoming data traffic. The robot researcher can use it for their communication-related debug purposes. Originality/Value: Using this terminal program, our robot researcher will get lots of benefits where readily available utility programs cannot provide them. It has some unique features like automatic sending, changing dynamic content, etc. It has a serial and ethernet interface channel so that most of the device communication can be debugged through this interface software. It is entirely free and open source. Anyone can download and use it for personal as well as commercial purposes. Paper Type: Experiment-based Research.

Use of Natural Language Processing in Software Requirements Prioritization – A Systematic Literature Review

Purpose: Research involves the creation and implementation of new ideas by keeping the existing work as a foundation. The literature review done in this paper is to familiarise and to know about the domain of research to integrate the existing ideas with the new ones. Methodology: The literature that is required for this study is chosen from multiple secondary sources such as journals, conference proceedings, and web resources. All the pieces of literature are carefully studied and summarised. This is further used to arrive at Research agendas and Research gaps. Findings/Result: It has been observed and understood that Natural Language Processing (NLP) is a field involving analysis and processing of textual contents. It also requires Machine Learning Algorithms to support the processing. This combination has already been used in various domains, the important one being the health sector. EMR data is huge and NLP can successfully process and prioritize them in different dimensions. In that direction, the same concept and technology can be applied to Software Engineering also and Requirements can be prioritized. Originality: This literature review study is carried out using secondary data which is collected through various online sources. The information thus gathered will be used in the future to build upon existing theory and framework or build a new methodology. It is also seen that any conclusion or decision is not biased or unidirectional. A sincere effort is made to identify a research topic to carry out the research. Paper Type: Literature Review.

Reinventing Smart Water Management System through ICT and IoT Driven Solution for Smart Cities

Purpose: Worldwide water scarcity is one of the major problems to deal with. Smart Cities also faces this challenging problem due to its ever-increasing population and limited sources of natural water. Additionally, careless usage of water and large water wastage has made the water issues as a serious concern. Today Smart Cities are using advanced technical solutions to deal with various problems, to deal with water shortage problems, Smart Cities uses Smart Water Management System, an intelligent system which distributes and control existing water supply on need basis, and also it facilitates recycling of water for again using for specific activities. In this paper I have provided the overview of Smart Water Management System, its features, and functionalities. I also reviewed available literature on Water Management Systems for Smart Cities and considering the latest tools and technologies and understanding some of the limitations of existing Smart Water Management Systems, I proposed an easy to develop, operate and maintain Smart Water Management Solution called as "iWMS". The proposed conceptual framework of iWMS is modular and is based on secure Blockchain based Application Layer. The iWMS solution supports entire water management and recycling functioning cycle and can easily integrate with other services of Smart Cities. The evaluation of iWMS framework provided very encouraging results. It is revealed that iWMS meets the stated objectives of water savings through automated operation and also through controlled water recycling. Unlike other Smart Water Management Systems, iWMS also carefully complies the cybersecurity requirements. Based on evaluation, the advantages, and limitations of iWMS are also stated in this paper. Finally, I have also specified the future plans about iWMS to undertake its full-fledged implementation and addressing of its limitations. Design/Methodology/Approach: Primary Data collection through Interviews and Questionnaire responses from Industry Professionals, SMEs, and Researchers working on development, operation, and maintenance of Water Management Systems in Smart Cities and secondary data collected through detailed review of existing literature containing Journal Papers, Conference Papers, and Whitepapers available on Water Management Solutions for Smart Cities, are used to derive the new findings and results presented in this research paper. Findings/Result: Smart Water Management System not only efficiently handles water distribution across Smart Cities but also plays an active role in Water Recycling, Water Control and Monitoring, Estimation of the peak water requirements, and detection of water leakage if any. Smart Water Management System is an essential system in Smart Cities and is the backbone behind Smart Water Service of Smart Cities. Originality/Value: The Information presented in this paper is original and genuine and completely based on own data analysis and findings. It is derived from a systematic literature review of existing research papers and whitepapers on Smart Water Management System and interactions carried out with industry professionals, SMEs, and Researchers working on Water Management Solutions. Paper Type: Technology oriented Research

Demonstration of Modbus Protocol for Robot Communication Using C#

Purpose: The Modbus is the trusted name in the industrial automation communication domain. It is a pretty simple protocol to implement and so very popular to the industrial communication personnel. Nowadays, Some industrial robots are also capable of communicating through Modbus. So our robot researchers frequently face the challenge of communicating with Modbus-enabled devices or robots. They need to know the protocol in detail before integrating it into their project. Its learning curves are a bit higher because of the lack of document which is practical oriented. The protocol selection, packet structure, CRC, or LRC calculation need to maintain precisely as standards; otherwise, the Modbus exception may happen. We experience those scenarios. Through our practical experience, we learned what is required for a new researcher who wants to implement Modbus in their project. In this paper, we demonstrate the Modbus packet structure and implement it with several practical examples. Finally, to test the written code, we provide simple tools which are easy to use and customizable. The researcher can easily integrate into their research project. The complete project source code is available in Github. Design/Methodology/Approach: The Modbus is the standard protocol to communicate between or among the devices. We need a better understanding of it and interface software to test around all aspects. Here we described some practical examples. The GUI is created using C# language inside the Microsoft Visual Studio. The application has several capabilities. In the TCP/IP mode, It can be a server or client. In RTU mode, it can play as a Master or slave device. We can also run two instances in a single system. To communicate between two running apps in RTU mode, we need virtual loopback software, two physical comm port, or two USB to Serial modules. For Modbus TCP mode, we can test within the system using the localhost address (127.0.0.1) or need an IP address for a different. Findings/results: The robot researcher can find helpful information about communicating the robot through the Modbus protocol. The practical example can help them to create packet purser. The functional CRC algorithm code can be used for better understanding and implementation into their project. Originality/Value: This work has some different features than other available utilities. We added features based on our research needs. Our created application is a little bit different from a professional approach. Various display formats are available in our GUI. That makes a difference in the originality of this work. Our GUI can be master, slave, server, or client, which is rarely available. Paper Type: Experimental-based Research.

Inset-fed Multiband Square Patch Antenna on Flexible substrate for Fifth-Generation Wireless Communication

Purpose: Over a decade, the antenna has sparked considerable interest in the 5G frequency band in the wireless domain (covering industrial applications, home automation and mobile communication) because of its numerous advantages like compact, conformal to surfaces, easily integrated with the devices, etc. In general, an Antenna can be defined as a conductor which is exposed to space operable for a specific application. The purpose of the study is to design the Slotted patch antenna for 5G applications on a flexible dielectric substrate material which makes the antenna compact in its design aspect. Design/Methodology/Approach: Initially, the antenna design is carried out using the theoretical framework based on the available equations. The microwave studio software - Computer Simulation Technology (CST) is used to create and model the different antennas. Findings/Result: Based on the simulated models, the slotted patch antenna design 5 has 2 bands namely: 3.25 GHz, the return loss is -17.47 dB, and 5.89GHz, the return loss is -21.37dB. Whereas design 6 has 4 resonant bands measured at 2.04 GHz, the return loss (RL) is -11.68 dB, at 5.80GHz, the RL is -22.36 dB, at 7.14 GHz, the RL is -28.71 dB and at 8.83 GHz, the RL is -13.36 dB. The maximum bandwidth achieved for slotted patch antenna design 5 is 5% and the maximum bandwidth achieved for slotted patch antenna design 6 is 8%. Whereas the design of Multi slotted patch antenna flexible substrate design 7 and design 8 has the maximum achieved bandwidth of 10 %. Originality/Value: The design of slotted patch and multi slotted patch antenna using inset feed method on a flexible substrate for 5G frequency band. Paper Type: Design based Research Analysis.

A Study on Employee Retention as a Tool for Improving Organizational Effectiveness

Background/Purpose: Human sources are those who make the group of workers of a company. It's also recognized via manpower, skills, labour, employees etc. Human Resource department of a business enterprise performs human useful resource control. It entails various elements of the employment consisting of compliance with labour regulation and employment standards, management of worker benefits, and various other sports related to recruitment and choice of the employee. Worker retention is regarding the efforts with the aid of which employers try and retain the personnel in their team of workers. Retention turns into the strategies in place of the final results. Preserving the worker for long duration of time is known as retention. Retention strategies of the organization need to have the capacity to attract and hold their staff. Organizational effectiveness refers to a company's ability to achieve the goals it sets out to achieve. It's far the performance of the organization, group or an organization to fulfill its goal. Six Sigma is a methodology that makes a specialty of improving the overall efficiency of a business process. Objective: This work is carried out at Dinesh Foods, Kannur. Dinesh foods are a subsidiary unit of Kerala Dinesh Beedi Workers Co-op Society. The objective of this study is to observe and to recognize how worker retention facilitates in growing the organizational effectiveness of Dinesh Foods. It additionally assists to investigate diverse retention techniques followed and also the employee turnover within the unit. This work investigates the worker retention is a device for increasing the organizational effectiveness. Design/Methodology/Approach: For the purpose of study the data was collected through primary and secondary source. Questionnaire was distributed among the workers for collecting necessary data for the study, financial statement of the company to study about the financial stability of the organisation and annual report of the company. Findings/Results: This research is done to find out whether the employee retention in the organisation helps in improving the organisational effectiveness. Varies conditions applied for the hypothesis and it can be proved that the employee retention is a tool for increasing the organisational effectiveness. Based on the analysis, findings and suggestions Dinesh Foods, Kannur can give more concentration towards retaining the employees in the organisation as it is important in any organization. Conclusion: This study focusses on whether employee retention is a tool for improving the organisational effectiveness. It is found that the employee retention is a tool for improving organisational effectiveness and employee retention helps in increasing the productivity. Paper Type: Case study-based Research Analysis