Md. Syedul Amin

Accident detection and reporting system using GPS, GPRS and GSM technology

Speed is one of the basic reasons for vehicle accident. Many lives could have been saved if emergency service could get accident information and reach in time. Nowadays, GPS has become an integral part of a vehicle system. This paper proposes to utilize the capability of a GPS receiver to monitor speed of a vehicle and detect accident basing on monitored speed and send accident location to an Alert Service Center. The GPS will monitor speed of a vehicle and compare with the previous speed in every second through a Microcontroller Unit. Whenever the speed will be below the specified speed, it will assume that an accident has occurred. The system will then send the accident location acquired from the GPS along with the time and the speed by utilizing the GSM network. This will help to reach the rescue service in time and save the valuable human life.

Design of a novel adder-less Barker matched filter for RFID

Radio frequency identification RFID is the utilization of the radio frequency for the purpose of identification. RFID is lagging behind due to vendor specific solutions and excessive implementation cost. A Wireless Fidelity WiFi compatible IEEE 802.11 RFID tag can overcome these limitations. IEEE 802.11 utilizes Direct Sequence Spread Spectrum DSSS technique and a matched filter is a vital block in a DSSS system. A low-power and low-area novel adder-less Barker matched filter is proposed in this paper by eliminating the conventional multiple multiplications. The matched filter designed in 0.18µm CMOS technology achieves average and maximum power consumption of 33.747µW and 8.08mW, respectively and chip area of 0.41184mm2 only. The simulation result shows the correct matching of data against the threshold value. Compared with the conventional matched filter, the design achieves 25% power reduction maximum power and 51% chip area reduction. Therefore, the design will help to implement a low-power matched filter for IEEE 801.11 compatible RFID tag. Copyright

A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors

Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90% and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system.

Circuit of an EEPROM sense amplifier in 0.18 µm CMOS technology

A sense amplifier for EEPROM memory competent of functioning under a very low-voltage power supply is presented. The sense amplifier was designed for an EEPROM realized with a 0.18-µm CMOS technology. Key design techniques of power dissipation optimization for EEPROM memory are described. The topology of the sense amplifier uses a pure voltage-mode comparison allowing power supply at 1 V to be used. Simulation results showed that the circuit is able to work under a low power and also the size of the circuit is reduced due to the 0.18-µm CMOS process.

Feasibility study of GSM network for tracking low altitude helicopter

Low altitude helicopters are difficult to track due to the limitation of radar horizon, which may cause severe flight hazard. Thus, tracking of helicopter in real time is vital. There are various ways to track low flying helicopter, such as aircraft to ground data link, satellite phone etc. But the Global System for Mobile Communications (GSM) network has not been reported to be utilized yet to transmit the position information obtained from Global Navigation Satellite System (GNSS) receiver. A study was carried out to check the coverage of GSM network in low altitude for the feasibility of sending location information and the report has been presented in this paper. A GPS and GSM modem was programmed to log the time, location, altitude and signal strength. Two missions were carried out at 1000 feet with the device. Logged data were later on downloaded in a computer to analyze the low altitude coverage of the GSM network. The results show that the signal quality of the GSM was available for more than 75% of the time for sending SMS. Thus, it is evident from the study report that the low altitude helicopter can be tracked using GSM network.

A low cost MEMS and complementary filter based attitude heading reference system (AHRS) for low speed aircraft

AHRS is an important system that provides the 3-dimensional orientation (roll, pitch and yaw or heading) of an aircraft from which the flying performance can be evaluated. The avionics of aircraft are very sophisticated and majority of them do not allow any external interface for logging. As such, a standalone external AHRS is needed which should be comprised of low cost devices so that it becomes affordable for other aircrafts. This paper proposes a low cost Micro-Electrical-Mechanical system (MEMS) based AHRS for low speed aircraft to evaluate the flying performance. MEMS based 3-axis accelerometer, gyroscope and magnetometer have been used to build the AHRS. Low cost MEMS based sensors suffer from bias, drift and sudden spike. Low pass filter has been utilized to reduce the spikes. Complementary filter has been used to pin down the drift of the gyroscope from accelerometer reading. The system has been implemented in Arduino environment. Simulation and real time results have shown correct functioning of the system. Besides using as an AHRS in low speed aircraft, the system can be used for control and stabilization of other real time system.

Attitude Heading Reference System based vehicle stationary state detection

Vehicle navigation is a crucial requirement for many applications. Global Positioning System (GPS) can provide accurate navigation information. But the GPS performance degrades and even a complete outage may occur in urban areas due to line of sight problem. Inertial Navigation System (INS) can provide navigation information during a GPS outage. However, due to bias, drift, noise and other errors, the position information quickly diverges which is more sever for low cost INS. These errors can be corrected in a stationary state. Detecting the stationary state to correct the INS error is crucial for navigation system. This paper proposes a novel stationary detection technique by the threshold approach with an Attitude Heading Reference System (AHRS) built from the Inertial Measurement Unit (IMU) sensors and acceleration information. The stationary state is detected from variance of the acceleration data and the heading of the vehicle. The test result shows that the 87% correct stationary state is detected from both the acceleration and heading information. The stationary state detection can help to correct the INS errors.