The aim of this study is to investigate how students respond to learning activities using e-learning. Researchers analyzed students' responses based on four aspects of activity, including attendance discipline, assignment collection accuracy, enthusiastic use of e-learning teaching materials, and participation in group discussions. The research method used in this study is a quantitative descriptive method and usability testing method. The data analysis technique used is descriptive percentage. The sample for this study consisted of 100 students from the informatics education study program, including the batches of 2019, 2020, and 2021. The results showed that the average response rate of students towards e-learning activities was 67.19% for the year 2019, 81.32% for the year 2020, and 78.59% for the year 2021. Based on the findings, it can be concluded that students from all three batches responded positively to the e-learning activities.

Edge computing is the concept of the distributed paradigm. In order to improve the response time and to save the bandwidth, it brings the computation and the storage of the data closer to the location whenever it is needed. Edge computing is one of the very famous and blooming concept in today's era. It has been used in so many applications for various purposes. Edge computing can be defined as infrastructure of physical compute which is placed between the device and the cloud to support various application and which brings the cloud closer to the end user or end devices. In this chapter, the authors discuss the origin of the edge paradigm, introduction, benefits. These are some of the criteria to be elaborated in the chapter overview of edge paradigm.

Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch, or other device instead of waiting for the data to be sent back to a centralized data store. Cloud computing has revolutionized how people store and use their data; however, there are some areas where cloud is limited; latency, bandwidth, security, and a lack of offline access can be problematic. To solve this problem, users need robust, secure, and intelligent on-premise infrastructure for edge computing. When data is physically located closer to the users who connected to it, information can be shared quickly, securely, and without latency. In financial services, gaming, healthcare, and retail, low levels of latency are vital for a great digital customer experience. To improve reliability and faster response times, combing cloud with edge infrastructure from APC by Schneider electrical is proposed.

Internet of things (IoT) architecture is an ecosystem of connected physical objects that are accessible through the internet. The ‘thing' in IoT could be a person with a heart monitor or an automobile with built-in-sensors (i.e., objects that have been assigned an IP address and have the ability to collect and transfer data over a network without manual assistance or intervention). The embedded technology in the objects helps them to interact with internal states or the external environment, which in turn affects the decisions taken. IoT world where all the devices and appliances are connected to a network and are used collaboratively to achieve complex tasks that require a high degree of intelligence, and IoT is an interaction between the physical and digital words using sensors and actuators. Furthermore, the IoT architecture may combine features and technologies suggested by various methodologies. IoT architecture is designed where the digital and real worlds are integrating and interacting constantly, and various technologies are merged together to form IoT.

These days we’ve an enhanced range of heart diseases together with enhanced risk of heart attacks. We all heard and observed that heart attack can kill your life in 3 attempts but now days because of heavy stress it could be in first attempt also. If conscious about our health regularly on regular basis then we can detect so many different diseases by detecting them previously, and Co2 would be also varies in the heart attack situation, so in this paper carbon dioxide analyses and identified the intense of CO2 in different level of activities. Life is precious. In this era many people lose their life to coronary failure. Heart attack detection is not easy task. In today’s world heart attack is more common, In order to overcome the situation and to reduce the death rate due to heart attack, this system is used and mainly it will useful for the society In this system we have a tendency to area unit implementing a heartbeat observance and coronary failure detection system exploitation the Internet of Things. In this sensor the operator can fix the low as well as higher level heart beat, where the system monitor the beat and send those data to the internet, in case if the heart beat level go beyond the; low rate which is set by the user, the alert will be given so that immediate action can be taken. One is that the transmittal circuit that is with patient and therefore the different is that the receiver circuits that is being supervised by the doctor or nurse. The main motive of the system which will take the heart beat rate and those data will be get displayed on the digitalized Monitoring screen.