In this field of research, NXFEE Innovation will have more than 10 years of expertise experience in Semiconductor IP Development. Our organization will have knowledge in Semiconductor IP Products and Application related products with a wide range of solution that include custom ASIC/FPGA/DSP/EMBEDDED System/ Wireless Technologies.
We have a Well Qualified R&D unit for Wireless/Embedded/FPGA/ASIC Design. Our Sound Technology and Knowledge base have helped us to create products using emerging technologies that include FPGA, VHDL, VERILOG HDL, SYSTEM VERILOG HDL, UVM, OVM, VVM, DSP, RTOS, DSP, Bluetooth, WI-Fi, RF, CDMA and other related technologies in the areas of Industrial Automation, Telecommunications, Consumer Electronics and Automotive Applications.
Development Products & Research on:
- High Speed Data Transmission
- Secure Video Processing
- Secure Digital Demodulation
- Signal Processing and Applications
- Intelligent Robotics
VLSI PHD Research Quotations: ( Download )
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Recent Research work (2020~2021):
- A Low Cost and High Throughput FPGA Implementation of the Retinex Algorithm for Real Time Video Enhancement
- High Precision PLL Delay Matrix With Overclocking and Double Data Rate for Accurate FPGA Time to Digital Converters
- Reconfigurable Digital Delta Sigma Modulation Transmitter Architecture for Concurrent Multi Band Transmission
- Design Methodology to Explore Hybrid Approximate Adders for Energy Efficient Image and Video Processing Accelerators.
- How to Assess the Quality of Compressed Surveillance Videos using Face Recognition.
- Reversible Data Hiding with Automatic Brightness Preserving Contrast Enhancement.
- A High Capacity Multi-Level Approach for Reversible Data Hiding in Encrypted Images.
- A Real time conventional neural Network for Super-Resolution on FPGA with Applications to 4K UHD 60 fps Video Services.
- A High Throughput VLSI Architecture for Real Time Full HD Gradient Guided Image Filter.
- Fast Coding Unit Partition Decision for HEVC Using Support Vector Machines.
- Secure Binary Image Stenography based on Fused Distortion Measurement.
- A Low Power Deep Neural Network Online Learning Processor for Real Time Object Tracking Applications.
- A Single Chip FPGA Holographic Video Processor.
- Uniform Color Space based High Dynamic Range Video Compression.
- Approximate DCT Design for Video Encoding Based on Novel Truncation Scheme.
- An Area Efficient 128-Channel Spike Sorting Processor for Real Time Neural Recording With 0.175 uW/Channel in 65nm CMOS.
- An Energy Efficient Accelerator Based on Hybrid CPU-FPGA Devices for Password Recovery.
- TOSAM: An Energy Efficient Truncation and Rounding Based Scalable Approximate Multiplier.
Successful – Journal Write-up & Journal Publication’s
( 2019 ~ 2021 )
Web of Science Journal:
- High Level Synchronization and Computations of Feed Forward Cut-Set based Multiply Accumulate Unit
Science Direct ( ELSEVIER ) Journal:
International Journal (UGC) :
- A 22nm CMOS Implementation of Low Power and High Security Data Information using 7T SRAM Bit Cell
Successful – Research work – Completed ( Ph.D ):
In the recent years, due to pollution and soil moisture and water deficiency, the plants will be affected by disease, and it increases day by day in crop yield, cultivation land, gardening, etc. These diseases (fungal) will affected crop yield, which will lead to scarcity. Agriculture is the back bone of this world. Since the major cultivation crop in world is rice, wheat, pulses, oilseeds, sugarcane, tea, cotton, spices, etc. This cultivation land will be affected day by day due to leaf diseases, soil moisture, temperature, humidity, animal attacks, injects attacks and water passing, etc,. The list of diseases will be surveyed and classified in various plant cultivation areas in South India, and also find the solution to rectify plant diseases with the support of organic green manure and insecticides. This will aid in employ organic based fertilizer in agriculture land. Thus, this cultivation land will not maintain in the proper way of smart agriculture level which depends upon the number of humans and machines to monitoring and rectifying the problems (diseases) in the plant. Therefore, an artificial intelligent based device will be required to monitor the agriculture environment. Thus, this project proposal will approach to rectify the issue in smart agriculture artificial intelligent with the aid of smart sensors and also IOT (Internet of Things) based on monitoring and controlling. A UAV based agriculture monitoring is not covered in rural areas because it takes more cost and machine maintenance and services issue, but this proposed hardware device will rectify this issue to provide low cost smart monitoring and maintenance by using UAV (slave) based IOT devices which also supported ANDROID applications. The proposed device is considered as type of sensors to identify and quantify diseased of plant leaves in agricultural field and also monitor environmental information ( eg., weather, temperature, moisture, humidity, solar radiations, soil conditions, pets and bugs alert, etc,.) which are responsible to affect crop yield. This proposal is to develop a device which is so called IOT based smart farming and real time plant disease identification and quantification. This device will perform pre-processing, feature extraction, recognitions and classification of diseases and also quantify which are completely stored in cloud with respect to time/day. Further the device will also perform to provide the immediate action to alert the farms by alarm, SMS notification, etc. the farmers will monitor and identifying of the area using GPS through ANDROID mobile system and UAV Ground Master device (controller). Here, this proposed work will planned to monitor the cultivation land, by using number of UAV’s (slave), those UAV’s will work as a employ and communicate under the ‘Ground Master’. The Slave UAV will monitor the cultivation land to identifying the leaf diseases, soil moisture, temperature, humidity, IR based animal alert, injects alert, water passing, etc, and its reporting to ‘Ground Master’ through IOT communication. This Master device will control the slave UAV devices and farming devices such as water motor, inject killer machine, it will given alert message wherever plant diseases will occur by GPS location and given solution to farmer to control and rectify the problem. These both device will developed by FPGA and microprocessor devices, with support of intellectual property by using Verilog HDL language for this application.
- In this novelty approach of Scalable approximate multiplier with using truncated rounding based technique which presents to reduced a number of partial products which based on leading one bit position. In the approximate signed multiplication design is performed with using arithmetic unit, truncation unit, absolute unit for shift and add accumulation. In this operation of TOSAM will have number of modes it will differentiate based upon height (h) and truncated (t) such as (h,t) it will described in the architecture TOSAM(0,2), TOSAM(0,3), TOSAM(1,5), TOSAM(2,6), TOSAM(3,7), TOSAM(4,8), TOSAM(5,9). Here this will contain more absolute error in the LSB data shift Unit, thus proposed methodology will modified all the arithmetic operations of shift and add unit with using XOR-MUX Full adder to find a better solution and reduced the absolute error and it will proved with higher improvements of area and energy consumptions. In this proposed novelty work will modified approximate signed multiplier architecture as per absolute error reduction. Finally this work will designed in Verilog HDL and simulated in Modelsim, Synthesized in Xilinx 14.2.
In a recent technology of digital image processing along with multimedia images based transmission and reception while taking more complexity and image disordering positions in contribution on image encryption and decryption method thus now a day’s increasing private protect contained information in image processing. Here this proposed work will introduced a one way encryption and decryption technique using magic square regarding to reduced the complexity and image disordering with good lattice point. This magic square algorithm will have number of integer based summations on rows and columns via n x n matrix, due to this arithmetic operation such as addition, subtractions and multiplication it will take more memory logic element and garbage signals, here this proposed work will introduced novel method of reversible magic square algorithm using reversible logic gates such as PERES, FEYMAN, FREDKIN and so on. Therefore, in this magic square algorithm will get very less memory logic element and garbage signal and also get more efficient in image encryption technique. Furthermore, this image encryption and decryption method will proved with Mammography Images because its most effective method for early detection of routine breast cancer screening among mass classifications. Finally this work will integrated in Verilog HDL, Simulated in Modelsim and Synthesized in Xilinx FPGA, and also compared all the parameters in terms of area, delay and power.
To design a Real time detection of symptomatic pattern using audio biological signal based on wearable health monitoring system with low power and efficacious. Now a day’s digital audio recording will using for many application with advantages, here it will used to find out patient symptoms, such as cough, sneeze, vomiting, wheezing, belching and so on. In this research, we are designed a novel GDI (Gate Diffusion Input) based Full adder design of HSCG-SCS (Half Sum Carry Generation – Sum Carry Selection) unit, it will proved in back-end with tested 22nm CMOS Technology and hence proved minimum number of CMOS Gates with compared to reversible logic Full adders (Fredkin, Feynman, HNG, PERES, SGG, Toffoli, TSG). In Second part using this proposed full adder to design a Efficient Truncation Multiplier in Front-End VHDL with provide comparisons (HSCG-SCS adder using Truncation Multiplier, RCA adder using Truncation Multiplier, CSLA SQRT adder using Truncation Multiplier, CBL adder Using Truncation Multiplier, RCA-BEC adder using Truncation Multiplier). In Third Part using this HSCG-SCS Truncation Multiplier and HSCG SCS adder to design a FIR Filter Design, and hence proved comparisons with all adders and Multipliers. In Forth part, using this FIR filter, proposed Multiplier, proposed adder to design DWT and also developed a application oriented work in Real time detection of Audio Biological System its included with (DWT, DCT, Energy, Cost-line, QA, Mel Filter, etc.,) and Finally published this all works.
In recent years of innovative technology grow as application products in medical domain to support human problems to identification, rectification and alert a persons, as per this domain a wearable device will taken more priority to identify the human problems such as heart attacks, fewer, seizure prediction, wheezing, etc. In this application to characteristics a human body channel communication (BCC), to transmit and receive the data in long distance of communication, to alert the related persons and doctors regarding to monitor the patient at time by time of communication. In the exiting wearable devices will using a human body skins as transmission and reception medium, its affect the human freedoms, and create more jitter noise, the transmission and reception medium of body channel communication will not having fastest speed and does not transmit the data in high accuracy, to overcome these problems the proposed method will designed in Wearable device of Body Channel Communication with technique of DQPSK modulation. As per this application this paper proposed a novel design of Wearable device using Body channel communication to take the parameters of ECG, EMG, Temperature and Pressure, this parameter will transfer through DQPSK Modulation with encoding and decoding technique. In the Wireless network based communication of interconnection methodology will support high bandwidth and long range of communication, as per this Differential Quadrature phase shift keying (DQPSK) will provide the same data as throughput and less bandwidth which is compare to other modulation scheme such as BPSK, BFSK, QPSK. This Wearable device module will need a Encryption and Decryption technique to send the data securely, as per the digital data signal transmission line, a process of encoding and decoding is chosen in this proposed work to avoid signal overlap, signal distortion with signal interference, so proposed work will have implemented with line coding method. In the line coding method will support more number of bits transmission and reception in less bandwidth, more power efficiency and it will also support probability of error reduction. Here, we have compared the encoding technique in such as, NRIZ, RZ UNI-Polar, RZ BI-Polar and Differential Manchester method in wireless communication of DQPSK Modulation with 4, 8, 16 Quadrant using Wearable device of Body Channel Communication Decoding Method of ECG and EMG will predicting Arrhythmia attacks and record intervals trough UART Interface using four steps such as ECG-EMG Filtering, PQRST Delineation with help of PAT Algorithm, Feature Extraction and Classification. Finally the proposed work will design in VHDL language and synthesized using MAX10 Altera Quartus FPGA, with BER Testing and also shown the output comparison of area, delay and power.
In a recent technology of System on Chip, which have more integrate a variety of different IP cores, and it will have test sequence to store and generate a original data in encode and decode method. Now a days in digital communication a encoding and decoding method will have lot of data losses, potential faults and bit error losses in signal transmission and reception, due to distortion, jitters, and fluctuations. To overcome this problem, the System on Chip introduce a test data compression method, which have reduce complexity, time and cost in Design for testability and code compression technique, to test a data at encoded in off-line and decode in on-line with help of Automatic Test Pattern Generation (ATPG) method. In this test data compression has focused on run-length coding, which have drawbacks to test data in sequence of zeros, and terminated by ones, to overcome this problem Alternating statistical run-length coding(ASRL), and dictionary based coding was introduced. Here, the proposed work will tested to highest ratio in compression technique, which have a encoded scheme will designed ASRL followed by dictionary based method, and decoded vice-versa, based upon this a test ration will increases, and reduced data loses, potential faults and bit error loses, this method shown as a experimental result in XILINX FPGA using Verilog HDL, and finally shown a comparison in terms of area, power and delay with compression ratio.
In recent technology adders and subtraction is most priority design to decide a area, delay and power in all digital design applications, because a single adder and subtraction will decide logic size of a Multipliers and dividers. These adder, subtraction, multiplication and division will decide all digital design applications, based upon this research here a author decide a Adiabatic logic adder designs because adiabatic logic is most efficient power consumption logic compared to all other adder design. In this research work, will compared adiabatic logic in such as ECRL, 2N-2P, 2PASCL, PFAL, PAL. Here using this adiabatic logic to design and Full adder in 22nm, 32nm, 45nm CMOS Technology and find out the good power consumption, and hence proved the same technique in different adders such as Ripple Carry Adder, Carry Select Adder, Carry Save Adder, Carry Look ahead Adder, Kogge Stone Adder with design in CMOS Technology. Finally compared with all this works in Tanner EDA with successfully published this work.
In a recent research in Super resolution technique to increases a resolution in single image super resolution to generate a higher image super resolution. This paper presents briefly real time super resolution method of FHD ( Full HD) images without using a Frame buffer. In the existing method of super resolution technique presents in nearest neighbor, linear, cubic, bilinear methods which using low resolution image input using only number of line buffers. This paper presents a real time system of Super resolution technique in without a frame buffer using Bi-Cubic interpolations, Where Bi-Cubic interpolation is used for reconstruction the low frequency image to High frequency images, these Bi-Cubic interpolation will have capability to interpolate sixteen nearest neighbor of a pixel. In this paper additionally resolves high frequency patches, with overlapped to construct super resolutions images with using kernel algorithm. These Operations for gaining a high frequency results are applied to the Y-luminance channel only. While the high resolution Cb and Cr Channels are generated by Bi-Cubic Interpolations. The proposed System generates the output image at 1600×1600 size from 800×800 image size. This output of Image Super resolution 1600×1600 will given to Wavelet Filter and Wiener Filter to reduce a Image Denoising, and apply with motion estimation of Block Matching algorithm with 3D Filtering, and finally its decide with multiplier fames based super resolutions and hence proved in PSNR and SSIM. This image enhancement of Super resolution technique is implemented in VHDL and Synthesized in Xilinx Vertex-5 FPGA and Shown the Comparison of Area, Delay and Power.
In this technique of LECTOR and MTCMOS based CMOS design can decrease the complexity of leakage current and power dissipation as well as decimate the delay of logic circuits while gate or sleep transistor in active region. In LCT which is leakage control transistor (LECTOR) controlled by another source. About MTCMOS based CMOS logic gates are provides low leakage by using high threshold voltage (Vt) sleep transistors. In existing system, NAND gate is designed with the help of above two technique and its simulated with CMOS technology. From MTCMOS, which is designed with gating transistors for reducing delay of power gated circuits during active mode. In proposed system designed with 16 bit multiplier using LECTOR and MTCMOS method using NAND Gate and its tested with 65nm and 90nm CMOS technology at various supply voltage ( 1.1V, 1.2V, 1.3V, 1.4V, 1.5V, 1.6V,..). This multiplier is developed using Half adder and Full adder with using NAND based LECTOR and MTCMOS technique. Thus the results indicates an leakage voltage reduction. This Design is implemented in Tanner EDA and proved comparison of DC analysis, area and power.
This paper presents a FPGA Implementation of mixed pipelined architecture and parallel processing for Deblocking filter and SAO architecture in High Efficiency Video coding (HEVC) standard. In this paper aims to developed HEVC architecture in low latency with increase throughput and reduce the number of processing cycles with using Edge filtering method of modified Horizontal and Vertical Boundaries. This proposed work will presents mixed pipeline architecture and conditions based filter decisions with multiple coding tree units on size 64×64, 8×4 32×32, 4×8, block sizes. This proposed work is implemented on Field Programmable Gate Array (FPGA) platforms and compared with state of the literature and conclude the proposed work with 64×64 block size is suitable for all consumer High Definition applications, finally this design developed in Verilog HDL and synthesized in Xilinx Vertex FPGA XC5VFX200T-2FF1738 and compared all the terms of area, delay and power.
In the recent years of digital technology is developed in signal processing and image processing based applications with performance of high performance and high speed with compact-able in low power and area efficient applications such as signal processing, audio processing and software define radio and so on. In this digital gadgets will have more critical logic sizes and more power consumption and also take large area in VLSI Implementation due to arithmetic operations of adders and multiplier designs. Thus a priority architecture of Digital Wavelet transform (DWT) affected, because it will have number of Filters banks in level basics, thus all Filter banks will have number of adders and multipliers due to coefficients decomposition of low and high pass filters, on this n-size repeated filter logic will take more logic sizes and power consumption. Here, the proposed work will presents a novel approach of DWT with replace conventional adders and multipliers to XOR-MUX adders and Truncation’s multipliers, it will reduced 2n logic size to n-size logic. Finally this proposed DWT architecture will designed in VHDL and done a FPGA Implementation in XC6SLX9-2TQG144 and hence proved the performance in terms of delay, area and power.
In the recent applications will grow up on rapid development in digital technology especially image processing and signal processing applications, it has mandatory to develop with compactable high quality, high speed, less delay and low power consumptions of all complex methods of applications and algorithms. In a Image and audio processing are typical application on digital signal processing, due to this signal compression commonly used DCT/IDCT methods. Thus, the method of compression will take more critical logic sizes and power consumptions in VLSI implementation due to arithmetic operations of number of multiplier, adders and subtractors. Here, the proposed work presents a novel approach in this DCT based compression technique using truncated multiplications with level synchronous conventional XOR-MUX adders, XOR-MUX Subtractors. Therefore, this proposed work will reduced the 50% of logic size and finally this work will developed in VHDL and synthesized in Xilinx FPGA XC6SLX9-2TQG144 with proved the parameters in terms of area, delay and power.
In the recent years of digital technology is developed in signal processing and image processing based applications with performance of high performance and high speed with compactable in low power and area efficient applications such as signal processing, audio processing and software define radio and so on. In this digital gadgets will have more critical logic sizes and more power consumptions and also take large area in VLSI Implementation due to arithmetic operations of adders and multiplier designs. Thus a priority architecture of Digital Wavelet transform (DWT) affected, because it will have number of Filters banks in level basics, thus all Filter banks will have number of adders and multipliers due to coefficients decompositions of low and high pass filters, on this n-size repeated filter logic will take more logic sizes and power consumptions. Here, the proposed work will presents a novel approach of DWT with replace conventional adders and multipliers to XOR-MUX adders and Truncations multipliers, it will reduced 2n logic size to n-size logic. Finally this proposed DWT architecture will designed in VHDL and done a FPGA Implementation in XC6SLX9-2TQG144 and hence proved the performance in terms of delay, area and power.