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This chapter presents the Smart Irrigation system using the Internet of Things (IoT). IoT Technology is a network of physical objects that are connected with sensors, software, etc. This chapter concludes the project based on the agriculture field that automates the irrigation process and on the agriculture field that automates the irrigation process and solves the challenge of water consumption in those areas. We have developed the system using different sensors like (1) Soil Moisture sensor, which measures the moisture present in the soil, (2) Humidity and Temperature Sensor (DHT11), which traces the temperature change. All these sensors are connected to the Node MCU ESP8266 microcontroller, which is also a Wi-Fi module. It uploads the data to the cloud and displays it in the form of readings detected by the Blynk Application. This sensor's reading values control the pump for emergency purposes, such as stopping the pump for irrigation. Thus, this project can automate the irrigation process by analyzing soil moisture and climatic conditions, covering essential aspects like less labor, power consumption, reliability, and cost.

Autonomous vehicles rely on IoT-based technologies to take numerous decisions in real-time situations. However, added information from the sensor readings will burden the system and cause the sensors to produce inaccurate readings. To overcome these issues, this paper aims to focus on communication between sensors and autonomous vehicles for better decision-making in real-time. The system has unique features to detect the upcoming and ongoing vehicles automatically without intervention of humans in the system. It also predicts the type of vehicle and intimates the driver.

The system is designed using the ATmega 328 P and ESP 8266 chip. Information from ultrasonic and infrared sensors are analyzed and updated in the cloud server. The user can access all these real-time data at any point of time. The stored information in cloud servers is used for integrating artificial intelligence into the system.

The real-time sensor information is used to predict the surrounding environment and the system responds to the user according to the situation.

The system is implemented on embedded platform with IoT technology. The sensor information is updated to the cloud using the Blynk application for the user in real time.

The system is proposed for smart cities with IoT technology where the user and the system are aware of the surrounding environment. The system is mainly concerned with the accuracy of sensors and the distance between the vehicles in real-time environment.

This paper aims to electronic caring the health of many kinds of patients.

The paper opted for designing IoT health-care system bracelet used photon as controller collect with five sensors. And second using raspberry 3 B⁺ collect with ECG, ECG and camera. Thinkspeak cloud was used for plotting data and communicate with doctor by bylnk mobile application.

The paper provides a real data for six-Covid-19 patient in 22 days.

Design an IoT system that send daily information to doctor if a patient needs to visit him/her or monthly reported to the hospital. Send patient’s vital signs to doctor as curves for fast noting any problems. The proposed system can be operate on two states (special, if need to periodically monitor or normal only when any trouble occurs), It was covered the two Covid-19 patient cases simple and critical by real testing these two systems on six Covid-19 patients. The two collections were succeeded in monitoring simple and critical Covid-19 cases.

This study aims to build a prototype of a smart waste recycling bin to transform organic waste into liquid fertilizer. The internet of things (IoT) was used as a base to develop this bin to offer a recycling system that convenient to the household.

In general, this system will integrate a microcontroller and several sensors that able to be controlled by a smartphone app to manage the decomposition process of organic waste in the bin. In the end, black-box testing was conducted to ensure all hardware and software that construct the system can perform well as expected.

All the validation testing reveals all the integration of hardware and software that constructs the smart bin satisfied the performance requirement except for the real-time clock sensor that implies the slight error for a few seconds compares to the actual time.

Different from the previous works, this study focused on the involvement of society to participate in the recycling garbage process by designing the smart waste recycling bin system that fits to locate in the household environment, which allows users to monitor the fertilizer making process using IoT technology.

The heating, ventilation and air conditioning systems are responsible for a significant proportion of the energy consumption of the built environment, on which the occupant's pursuit of thermal comfort has a substantial impact. Regarding this concern, current software can assess and visualize the conditions. However; integration of existing technologies and real-time information could enhance the potential of the solution proposals. Therefore, the purpose of this research is to explore new possibilities of how to upgrade building information modeling (BIM) technology to be interactive; by using existing BIM data during the occupation phase. Moreover, the research discusses the potential of enhancing energy efficiency and comfort maximization together by using the existing BIM database and real-time information concomitantly.

The platform is developed by designing and testing via prototyping method thanks to Internet of things technologies. The algorithm of the prototype uses real-time indoor thermal information and real-time weather information together with user's body temperature. Moreover, the platform processes the thermal values with specific material information from the existing BIM file. The final prototype is tested by a case study model.

The outcome of the study, “Symbiotic Data Platform” is an occupant-operated tool, that has a hardware, software and unique Revit-Dynamo definition that implies to all BIM files.

The paper explains the development of “Symbiotic Data Platform”, which presents an interactive phase for BIM, as creating a possibility to use the existing BIM database and real-time values during the occupation phase, which is operated by the occupants of the building; without requiring any prior knowledge upon any of the BIM software or IoT technology.

This paper aims to explore the impact of excessive smartphone use on students’ academic performance. In today’s digitalized world, smartphones have become a vital device in human lives and have taken control over every aspect of day-to-day activities.

After a thorough literature review, the factors associated with smartphone use that impact student performance were identified, and a conceptual framework was developed. Further, a survey was conducted by contacting 264 students pursuing higher education in India to test the model. Structural equation modeling was adopted to test the hypotheses.

Results indicate that there is no direct impact of excessive mobile phone use on student performance. However, it can be observed that excessive mobile phone use impacts student performance indirectly mediated by technoference.

This study was conducted among students pursuing higher education in cosmopolitan cities with representation from India. Future studies can test the model among students in tier two cities and rural areas and primary and high school students for more insights.

This study has suggestions for college management to promote a hybrid learning model and prohibit using smartphones in classrooms and academic areas.

This study is among the earliest to explore the impact of technoference in an academic environment.