20 research outputs found
Fuzzy based Irrigation Control System for Indian Subcontinent
No full text355-362Water resource usage should be optimized as there is always a scarcity. This paper aims to provide an efficient way of
water using sense and weather data and implementing a fuzzy decision model. An automated intelligent watering system is
proposed in this paper using the internet of things and fuzzy logic. The weather data, coupled with Temperature, Relative
Humidity, and soil moisture sensor data, is used to decide whether to switch on/off the motor. In-house-created prototypes
of ground-moving robots have soil moisture, digital humidity, and temperature sensors implanted in them. The soil moisture
sensor is attached to the Rack and pinion mechanism. The soil moisture sensor is pushed into the soil when the pinion
rotates. It minimizes the use of sensors by using a distributed sensing method. Based on data obtained from sensors and
meteorological information, the system will use this information to decide whether to Switch on/off the sprinkler motor.
A fuzzy logic-based system decision is implemented on the input sensor and weather data, and the model will decide to
switch on/off the actuator. An accuracy of 97% is achieved. The Android app is used to visualize sensor data, based on
which the farmer can manually control the motor
Low-Cost Smart Watering System in Multi-soil and Multi-crop Environment Using GPS and GPRS
No full text
Navigation aid for people (joggers and runners) in the unfamiliar urban environment using inertial navigation
No full textAutonomous Monitoring and Attendance System Using Inertial Navigation System and GPRS in Predefined Locations
No full textGPS Aided Autonomous Monitoring and Attendance System
No full textAbstractMonitoring students or employees in institutions or organizations, is animportant task. During working hours, students should notleave their campus unless they are allowed. It is a very tedious task to monitor the people. So here an idea to monitor the people is proposed using GPS and GPRS. The person who has to be monitored should wear an id card, which consist of GPS & GPRS integrated using ARM microcontroller. Now-a –days, wearing an identity card is a must for every organization, so the MEMS GPS and GPRS is used here. GPS position data is sent from the identity card, continuously to the server. Geo fences are created for people, which signify the location where they have to stay during working hours with respect to time. If the person stays in that position during particular time attendance will be marked, otherwise absent will be marked for the student, or leave may be marked for the employee. By knowing the position of the person, his location can be pointed in the google earth, proved that he carries his identity card. Since there is always a possibility of proxy attendance with this id card, a finger print device is used to avoid proxy attendance. When the person fingerprintmatches, then only his position data are considered valid and it is used
Towards Secure Fog Computing: A Survey on Trust Management, Privacy, Authentication, Threats and Access Control
Get PDFFog computing is an emerging computing paradigm that has come into consideration for the deployment of Internet of Things (IoT) applications amongst researchers and technology industries over the last few years. Fog is highly distributed and consists of a wide number of autonomous end devices, which contribute to the processing. However, the variety of devices offered across different users are not audited. Hence, the security of Fog devices is a major concern that should come into consideration. Therefore, to provide the necessary security for Fog devices, there is a need to understand what the security concerns are with regards to Fog. All aspects of Fog security, which have not been covered by other literature works, need to be identified and aggregated. On the other hand, privacy preservation for user’s data in Fog devices and application data processed in Fog devices is another concern. To provide the appropriate level of trust and privacy, there is a need to focus on authentication, threats and access control mechanisms as well as privacy protection techniques in Fog computing. In this paper, a survey along with a taxonomy is proposed, which presents an overview of existing security concerns in the context of the Fog computing paradigm. Moreover, the Blockchain-based solutions towards a secure Fog computing environment is presented and various research challenges and directions for future research are discussed
