VOLUME 8, ISSUE 7, JULY 2019

Abstract: This paper designs and implements a data sparse-acquisition and transmission system for Wireless Sensor Network (WSN) based on Narrow Band –Internet of Things (NB-IoT) and Field-Programmable Gate Array (FPGA) for smart agriculture. The use of distributed wireless network nodes to collect agricultural environment information in a sparse sampling manner can overcome the disadvantages of limited bandwidth and significantly reduce the amount of data transmission, thereby helping to reduce the energy consumption of wireless network nodes and extend the use time. We use FPGA as the base station to receive the data collected by each node, and make full use of the advantages of parallel computing in FPGA for data recovery. And the method we used are matrix filling algorithm, which was named Latent Factor Model (LFM) in the recommendation system, and gradient descent algorithm. Finally, the recovered complete data will be transmitted to the cloud platform for display in the way of NB-IoT. NB-IoT is an emerging Wide Area Network (WAN) technology that has the advantages of supporting massive connections and being geographically unrestricted. The results show that the data can be perfectly recovered within the specified error range, and the algorithm runs nearly three times faster than the serial operation after adding parallel operations. Keywords: WSN, FPGA, NB-IoT, LFM

Abstract: Multi-processor DSPs offer a high-performance cost-effective method that is critical for many embedded application areas. However, it is currently complex and time-consuming to port existing uniprocessor applications to such parallel architectures. There are no commercially available compilers which will automatically map existing sequential DSP programs to a multi-processor machine (Rijpkema et al., 1999). Users are typically required to rewrite their code as a process network or as a set of sequential processes of communication (Lee, 1995). It is well known that such an approach is highly non-trivial and error-prone, possibly leading to a deadlock. This is due to the fact that Digital Signal Processor programs are written using C language rather than FORTRAN language (Hiranandani et al., 1992) and the wide use of pointer arithmetic is shuffled and the compilation of distributed memory space of Digital Signal Processors is difficult. It is a highly specialized skill to rewrite an application in a parallel way. What is needed is a tool that effectively takes existing programs into the new multi-processor architecture and maps them automatically. Although research on auto-parallelising compilation in scientific computing has been going on for over 20 years (Gupta et al., 2000), this has not occurred in the embedded domain. These problems are solved through the use of the pointer conversion technique and a new address resolution technique based on a new data transformation scheme that allows multiple address spaces to be paralleled without the introduction of complex (and potentially deadlocking) passing code message. An auto-parallel C compiler integrating these two techniques into an overall parallel strategy 

Keywords: Multi-processors DSPs, Digital Signal Processor programs, Data transformation, Prallelization algorithm, data address resolution

Abstract: Agriculture plays the major role as it is big economic sector. However productivity of farm reduces by the plant diseases. Quality and quantity of plants also affected due to Different plant diseases, So Early detection plays vital role, to minimize the damage from plant diseases. The manual method for plant disease detection is poor, time consuming, uncertain and costly .Plant diseases are caused by bacteria, fungi and viruses. Fungal disease leads to sever damage to plant quality and productivity. There is fair amount of scope for plant disease detection in the area of agriculture. The recent computer vision and image processing based methods are quite primitive. Efficient image processing based method targeting towards better accuracy is a need of hour. Reliable, Robust and scalability factors needs to be considered while designing method for detecting plant diseases. Fungi disease detection of the leafy vegetables is first motivation of this research. Improving disease detection accuracy using optimized image processing algorithms. Along with leaf disease detection, crop detection and grading of disease is also important for automated system.

Keywords: Leaf disease, Image Processing, Segmentation, Feature Extraction, Classifiers

Abstract: Now days, it is seen that VANET are widely spread in the world of vehicular transportation. It is different from the other networks because of its features and working. Main function of Vehicular Ad-hoc Network is to provide safety, increases driving experiences, and good management of the traffic. Further, VANET focuses on private data transferring from one vehicle to other with threat less data management. In this paper, we will discuss about the various features of VANET’s with possible attacks, and security requirements in VANET. Moreover, some of the privacy preserving protocols are also describe with their advantages and disadvantages.

Keywords: Vehicular Ad-hoc Network (VANET), Trusted authorities (TA), Security, Privacy, Message Authentication Code (MAC)

Abstract: The main purpose of the vehicle is to solve the problem faced by patients who are blind and differently abled. Vehicle aims at providing appropriate help needed by the patient. The vehicle has multiple functions which are designed in a way to serve according to the need of the patient. The function includes use of ultrasonic sensors for detection of obstacle and use of accelerometer which will help to drive the vehicle accordingly, it is useful for the people suffering from blindness. Vehicle is also designed to serve patients who are physically challenged by installing the circuit of gesture recognition along with flex sensors which will be mounted on the fingers of the patient. A specific finger movement would indicate a specific message. The message will be conveyed to the respective authorities about the patient needs, even in their absence via GSM module.

Keywords: ARDUINO NANO; Accelerometer; Wireless technology; WIFI Module; Flex Sensor; Internet of things  

Abstract: Multiple target tracking is more difficult if the target in motion is maneuvering. The behaviour of maneuvering targets is modelled in the form of various target motion dynamics called as Interacting Multiple Model (IMM) filters. IMM uses a probabilistic switching mechanism between the several possible models for target’s motion. Due to overmodeling at these maneuvering times in the Interacting Multiple Model (IMM) method, there will be continuous switching between different models which will eventually degrade the tracking precision and smoothness. This paper proposes a new Self Stabilised IMM filter estimator model based on adaptive mode probability and vigorous switching technique. The results of the simulations demonstrate the feasibility and the superiority of the proposed model when combined with Particle Filter (PF) measurement model. Keywords: Multiple Target Tracking (MTT), Air Surveillance Systems, Particle Filter, Interactive Multiple Model (IMM), Maneuvering target tracking

Abstract: Sorting is a basic technique which is used in data structure. Most efficiency issue is occur when to sort the large amount of data. There are many algorithm and techniques are available to sort efficiently such type of data. For example, quicksort is very well performed in most practical situation, moreover the other sorting algorithm have better in worst case behavior. Lastly I present the comparison of different sorting algorithm with efficiency and the knowledge which I gained from the study. 

Keywords: Adjacent, Divide and conquer, Sort, Swap, efficiently

Abstract:   In this research paper, a high linearity CMOS LNA with source degenerate topology followed by cascode topology is presented. The circuit is implemented on ADS using TSMC 45nm technology using Intermodulation distortion technique for RF front end applications. The LNA is having S11=-70.841dB, S12=-41.067dB, S22=-28.018dB, S21=14.072dB and NF =4.060dB from a 1V power supply and the circuit is having an IIP3=9dBm at 2.4GHz frequency.

Keywords: LNA, Cascode topology, Source degenerate topology, Intermodulation distortion Technique.