Abstract:Prior research is to establish a connection with OBD of a vehicle which provides vehicular connectivity with smartphones using internet for existing vehicles that don’t have an inbuilt vehicular connection and adds an additional sensor units which are not present making it easy to monitor all the systems in the vehicle. Most vehicles that are on roads don’t have this technology and this is mostly found in expensive cars. Using the proposed system, such vehicular connection system can be installed separately at a cheaper expense in all vehicles. Through this, the status of the vehicle is diagnosed by the OBD system and the report is transferred to the laptop in the GUI. Using the system, additional sensors can be added to a vehicle to upgrade its functionality, which the system supports. Additionally, driver assist functions are introduced, helping the driver during the travel period. Here our main motive is to provide the same comfort and features that has been introduced in the recent top end module vehicles. By ensuring that, it should be cost effective, long lasting and user friendly at the same time. This could be made possible for daily transportation like metro, services, public transportation, mid variant vehicles in car and busses. This can be achieved by introducing On-board Diagnostic system protocol over a control area network to scan and collect the data from the vehicle subsystems and feed this data to the display by means of USB connection which makes easier to visualize graphical represented data in a pc through a Graphical User Interface. The expected output for this design would be the wiper should get on when the sensor in it recognises the rain droplets and turn on the LDR automatically as the rain could lead to fog and mist and these particles also have been recognised by the wiper or LDR. The continuous monitoring of the tyre pressure and reflecting the values of each to the dash board so that user could know if there is dangerous fall in the tyre pressure and could be able to stop the upcoming accidents or discomfort. These all have been done through the software implementation, here we are using python to support our code. The hardware connection should be made ready to dump the code supported by python to make

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Abstract:Synthetic Aperture Radar (SAR) image analysis and classification is one of the challenging as well as promising field in Modern Military warfare in reducing the reaction time between the Sensor and the shooter grid. Towards this, many attempts have been made for Automatic Target Recognition using various Machine learning and Deep learning Techniques. In this Paper,an attempt is made to study the existing techniques used to classify various SAR images without human intervention. The complexity involved in SAR images is more, mainly due to lack of sufficient training images to train the Deep Learning Neural Network Model. This may lead to Overfitting, due to which the Model may work with the Training images only but may not workwith the testing images. To mitigate this issue of overfitting, we have suggested Data Augmentation. Certain Data Augmentationtechniques have been compared and a simplistic model is suggested by which, we can achieve a high degree of accuracy in MilitaryTarget prediction with the limited amount of Training images.

Keywords:AI, Data Augmentation, Deep Learning, Synthetic Aperture Radar (SAR).

Abstract:Land measurement is a general nomenclature which is used to explain, in the absolute manner, the knowledge and application of measurement of land. This conjointly includes land conversion that can be known as the procedure by which land or property is measured. It is the technique using which a piece of land or property is converted from one unit to a different one. The proposed design is to make the land survey by using a robot using the updated technology. Here, a robot is designed and programmed to conduct land survey, specifically to calculate the length traversed and area of a given land followed by subdividing the given plot it into subplots if required.The survey robot traverses along the given path and sends the values for the distance measured and area calculated. After optimizing the power given to the motors for proper simulation the speed of the robot was brought down to 0.5 meters per second which was desirable for effective control of the robot and subplotting. After the ASCII code for the plotting details was sent to the survey robot through the bluetooth application, the robot successfully decoded by the micro controller and the subplotting was accomplished. A 3% error has been observed while calculating the distance measured and 6% error while calculating the area measured.

Keywords:Embedded Systems, Microcontroller, Sensors, Robotics, Land Surveying

Abstract:In automation field the application is very large for which large different protocols are used such Modbus, Profibus, Canbus etc. In this paper we have discuss Modbus protocol and different devices which can be interface with each other on which Modbus protocol can be implemented with RS 485. Different devices such as RS 485, PIC 32MX are discussed. Also we have discussed different application in which Modbus protocol is used.

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Abstract:AN Obstructive Sleep Apnea (OSA) is a serious health disorder which contributes to cardiovascular complications, decreased work productivity, automobile accidents, and death. This condition is characterized by a temporary and repetitious cessation of breathing resulting from repeated upper airway closure during a person’s sleep. OSA is classified by several different components. Apneas, Hypopneas and blood oxygen saturation (spo2) are the main constituents of this disorder. An apneic episode is a complete cessation of airflow lasting 10 sec or more, while a hypopnea is a reduction in respiratory airflow combined with a spo2 decrease of >4%. Additional factors, which the sleep specialist feels are clinically significant, may also be accounted for and included when diagnosing OSA. The instrument used in diagnosing OSA usually require the patient to undergo a sleep study called a polysomnogram (PSG). This overnight study consists of monitoring brain electrophysiological responses, heart rate and rhythms, respiration, blood oxygen levels, and leg movements. Electrodes are attached to the patient’s skin and monitored by a sleep technician throughout the test. Data from this test is used to diagnose OSA, grade its severity and help determine optimal therapeutic approaches. So OSA has acquired an severe problem associated with pulmonary circulation. Normally the PSG test is carried out in clinics and hospital associated with sleep technician due to this patient’s sleep gets disturbed in hospital environment within the same time . Therefore, the goal of this project is to design a portable, lightweight and low-cost sleep monitoring system to detect apnea for people with a snoring problem using flow sensor and spo2 we are going to detect OSA, Hypopneas and central sleep apnea and display the Indexes in the display as an real time monitoring. The Proposed system will help the doctors in early detection for OSA which will be more efficient to titrate with an PAP devices such as CPAP (continuous positive airway pressure) and with BPAP (bidirectional positive airway pressure). So due to our proposed system an lower grade peoples also gets diagnosed earlier with minimal cost.

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