Thursday 14 December 2023

VLSI-Pro : Chip Design fundamentals - Free Session Link


To initiate the VLSI technology learning, Here we are providing the Free session accessible to everyone. 

VLSI Pro: Chip Design fundamentals 



  • The digital course teaches you how to get started with VLSI design fundamentals, starting with digital design and programming using VHDL.
  • The session starts with Introduction to VLSI technology and Why we have to learn VLSI ?
  • The basic VHDL code syntax and structure are explored with clear examples, which are helpful for making the learning easier.
  • The software EDA tool utilized here is MODELSIM 6.3 or QUARTUS II Software. The tool is easy to download and no license is required for the tool usage.
  • The Course is apt for Freshers, Job seekers looking for Skill development in VLSI design fundamentals.
  • For more details |& Advanced session Contact us. 


Keep learning !!!






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Tuesday 12 December 2023

Tech news update : New Video / 5G communication enhancement through QAM 64 & 256



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Wednesday 6 December 2023

Tech news update : New video uploaded on - ON CHIP IMAGE PROCESSING

PROJECT IDEAS




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Sunday 15 October 2023

Parkinson disease detction through ensemble of Voice patterns and Key stroke dynamics #PhD #researchtopic

What is Parkinson disease?
Parkinson's, is a progressive neurodegenerative disorder that primarily affects movement and can also cause a wide range of non-motor symptoms. It is a chronic condition that worsens over time, and while there is no cure, there are treatments available to manage its symptoms.

What are the symptoms of Parkinson disease ?
The primary symptoms of parkinson includes, 
  • tremers, Bradykinesia we call as slow in doing any activity,
  •  Muscle Rigidity that creates challenging muscle stiffness, 
  • Postural Instability unable to balance the co-ordination. 
These symptoms are called as motorists symptoms since we can see the changes in movements. on the other hand, other symptoms are

  • Depression and Anxiety: Many individuals with Parkinson's experience mood disorders, including depression and anxiety.
  • Cognitive Changes: Cognitive impairment can occur, and some people may develop dementia in advanced stages.
  • Sleep Disturbances: Sleep problems such as insomnia and restless leg syndrome are common.
  • Autonomic Dysfunction: This can lead to issues like constipation, urinary problems, and orthostatic hypotension (a drop in blood pressure when standing up).
  • Loss of Smell: A reduced ability to smell is often an early non-motor symptom.
  • Speech and Swallowing Difficulties: Parkinson's can affect the muscles involved in speech and swallowing, leading to issues in these areas

How Voice data is helpful in analyzing Parkinson's?

Voice data analysis can be a valuable tool in diagnosing and monitoring Parkinson's disease. Parkinson's disease is a neurodegenerative disorder that affects motor function and can also impact speech.

Early Detection: Changes in speech patterns can be one of the early indicators of Parkinson's disease. Analyzing voice data for subtle changes in pitch, tone, and articulation can help in early diagnosis.

Monitoring Progression: As Parkinson's disease progresses, it can lead to more pronounced speech issues. Voice data analysis can be used to monitor how speech changes over time, which can be valuable for tracking the progression of the disease.

Objective Assessment: Unlike traditional clinical assessments, voice data analysis can provide objective data about speech patterns. This can be useful for both patients and healthcare professionals to track the impact of the disease.

Treatment Efficacy: Voice data analysis can also be used to assess the effectiveness of treatments and interventions. It can help determine if medication or therapy is improving speech quality.

How to Overcome Parkinson's?
There is currently no cure for Parkinson's disease, but various treatments are available to help manage its symptoms. Medications, physical therapy, occupational therapy, and, in some cases, surgical interventions like deep brain stimulation can be used to improve the quality of life and manage the condition. Parkinson's disease is a chronic condition that requires ongoing management and support, often involving a healthcare team that includes neurologists, physical therapists, and other specialists.


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Friday 13 October 2023

Optimized SAD (OSAD) algorithm for Image similarity analysis

Optimized SAD (OSAD) algorithm

The Sum of Absolute Differences (SAD) algorithm is a simple and widely used image processing technique used for various computer vision tasks, including template matching and motion estimation. It measures the similarity between two images by calculating the absolute differences between corresponding pixel values and then summing up these differences. The SAD algorithm is particularly useful in finding similarities between a small template image and a larger target image.


 Here's how the SAD algorithm works step by step:

  1. Template and Target Images: You have a template image (usually smaller) and a target image (usually larger). The goal is to find where the template image best matches the target image.
  2. Sliding Window: Place the template image at the top-left corner of the target image.
  3. Pixel-wise Absolute Differences: For each corresponding pixel in the template and target images, calculate the absolute difference in pixel values. This is done by subtracting the value of the corresponding pixel in the template from the value of the pixel in the target image and taking the absolute value of the result.
  4. Sum of Absolute Differences: Sum up all the absolute differences calculated in step 3 to get a single value representing the dissimilarity or "error" between the template and the portion of the target image it currently covers.
  5. Move the Window: Slide the template one pixel to the right (or in any desired direction) and repeat steps 3 and 4 to calculate the SAD value for the new position.
  6. Repeat: Continue sliding the template over the target image until you have covered all possible positions or until you find the position with the lowest SAD value.
  7. Matching Location: The position with the lowest SAD value represents the best match for the template within the target image.
  8. Optimize : the results by comparing the obtained values with the reference images.

Applications of the SAD algorithm include object detection, facial recognition, motion estimation in video processing, and various pattern recognition tasks.

While the SAD algorithm is conceptually straightforward, it can be computationally intensive, especially for large images or when used in real-time applications. Therefore, optimizing the algorithm, as mentioned in the previous response, can be crucial for achieving good performance. This may involve using parallel processing, efficient data structures, and other optimization techniques to speed up the calculations.






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Expected Energy Optimization for Real-Time Multiprocessor SoCs Running Periodic Tasks with Uncertain Execution Time

Design of energy-saving optimization approach for Multi-processor SoC task scheduling

Power saving is a challeging task in VLSI design perhaps the multiple processing SOC carry out more power consumption through system on chip model. 

The low power VLSI architecture is capable of handling the leakage power within the circuit by altering the circuit level changes we call it as optimization.

Multi processor SOC architectures required optimized SOC systems with stable operating clock frequency.

The SoC blocks are composed of FSM enabled pipelines control mechanism. the prioritizing algorithm that holds various SOC modules put priority in the index thus handle the modules one by one without interrupting the other modules. 

The best SOC platform also capable of handling the uncertain exceutions in the system architecture by providing safegaurd module as error monitor. the dynamic error monitor keep tracks the glitches and stack the pulses to produce recycled clock with stable Duty Cycle



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Thursday 7 September 2023

Myocardial function detection through FPGA using Real-time sensor


Myocardial function detection through FPGA using Real-time sensor

Myocardial infection takes place when a continuous block of blood supply happens to the myocardium and the reason behind it is due to blood clots. the similar occurrence persists longer duration then it causes severe damage to heart muscles.

Due to viral infection, the myocardium is affected. it narrows down the activity of the coronary artery and causes severe heart attack.

The myocardial function is the ability of the myocardium to pump blood properly into the arteries and function properly.

understanding the stable functionality of the myocardium is important to treat various diseases. hence detection of myocardinal function is keenly monitored.

FPGAs and ASICs are utilized in various medical equipment to treat diseases in the early stages, so the detection mechanism needs to be more accurate.

FPGA-based Real-time MC infection diagnosis requires the following supporting modules.

Hardware modules
  • Heart rate sensor
  • PPG sensor
  • Microcontroller
  • FPGA/ ASIC
  • Display devices
Software Modules
  • SImulation Tool XILINX ISE 
  • QUARTUS II 6.3G
  • Arduino Studio ISE
  • Thing Speak Platform

Hardware Modules




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Thursday 3 August 2023

Wednesday 2 August 2023

Top 8 reasons why the SPICE tool is needed in VLSI circuit designs

Top 8 reasons why the SPICE tool is needed in VLSI circuit designs 

SPICE tools otherwise called the Simulation program utilized for integrated circuits design and emphasis provides the evaluation result of the circuits before it is being physically implemented into the board.



The top 7 benefits of the SPICE tools include,
    1. Digital gates and basic electronic circuit elements are included in the tool, making it easier and faster to build circuits. Any simple or computerized circuit or thought of making such a circuit is created with industry norms and testing the plan with different boundaries is coordinated inside the instrument.
    2. To really take a look at the exhibition of the circuit regarding DC examination, transient investigation, little sign examination, recurrence, and time investigation before it is genuinely finished, the SPICE tool does a ton with basic configurable advances.
    3. Waveform analysis and schematic-based circuit simulation are provided by the tool. The SPICE tool offers configurable values for the device, current, and voltage to tune the circuit and verify its performance.
    4. The result of the well-performing circuit is recorded as a component graph as text-portrayal further these parts are utilized for making a plan in the PCB board.
    5. VLSI frameworks are made with different combinational circuits and successive gadgets. to test the exhibition of the Advanced components like doors, and their exceptional conduct the pre-recreation model is required.
    6. Then again diminishing the part wastages, keeping away from some unacceptable hardware, and lessening some unacceptable manual setup, Flavor apparatuses are useful. The cost of development is lower. low intricacy in circuit planning is made.
    7. Faster design decision-making and faster design process are the important key benefits of SPICE tools. Researchers consider the tool for various innovative ideas generation.
    8. Regardless of environmental changes, these circuits tested with SPICE tools reduce the design failure rate. verifies the circuit functionality. Improves the product yield. Improves the noise analysis, for better simulation of DC transfer characteristics. Even more.

    Keep reading !!!


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    Friday 7 July 2023

    VLSI Crash Course for Beginners

    VLSI Crash Course for Beginners 


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    Sunday 4 June 2023

    Artificial intelligence (AI) computing in VLSI systems


    AI Computing in VLSI systems

    The emerging growth in artificial intelligence technology enabled various innovative results. The AI principles can be applied almost everywhere to enhance the existing results. VLSI devices are a high speed platform with customized logical elements inside. The configurable logical blocks need to be tuned with respect to the demand from the customer end. 

    On the other hand how come FPGA handle the large dataset generated for achiving the AI standards in terms of accuracy. the GPU process getting degraded when the number of processing elements increased. FPGA developers have started tuning the Accelerators to improve the performance and meet up the requirement. VLSI design principles are lightweight and enable the logical tuning adaptive to the AI principles. FPGA core is manufactured with AI blocks in recent days. Intel developing a AI suite supporting FPGA platform. the research scope of FPGA accelerators are highly improved now. for more research idea in VLSI check relevant contents in the blog. Keep reading.

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    Wednesday 18 January 2023

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     IEEE 2022  

    QM2301 Design of smart FPGA logic attack detection system 


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