Ayonix recently integrated its face recognition into Axis cameras. Axis P1367 camera can recognize people faces, analyzes gender, age, smile information inside camera.
Design and Analysis of Quantization Based Low Bit Rate Encoding Systemijtsrd
The objective of this paper is to develop a low bit rate encoding for VQ problems such as real time image coding.. The decision tree is generated by an offline process.. A new systolic architecture to realize the encoder of full search vector quantization VQ for high speed applications is presented here. Over past decades digital video compression technologies have become an integral part. Therefore the purpose is to improve image quality in Remote cardiac pulse measurement using Adaptive filter. It describes the approach to be used for feature extraction from many images.. This paper presents a real time application of compression of the image processing technique which can be efficiently used for the interfacing with any hardware. Therefore we have used Raspberry Pi in compression of image. We have developed an algorithm that is based on the endoscopic images that consist of the differential pulse code modulation. The compressors consist of a low cost YEF colour space converters and variable length predictive algorithm for lossless compression. Mr. Nilesh Bodne | Dr. Sunil Kumar "Design and Analysis of Quantization Based Low Bit Rate Encoding System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29289.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/29289/design-and-analysis-of-quantization-based-low-bit-rate-encoding-system/mr-nilesh-bodne
Telecardiology is a modern medical practice which enables outreach of specialist healthcare to people in remote locations. The technology harnesses the power of telecommunications to achieve remote diagnosis and treatment of heart disease, thus increasing the effectiveness and ease of care provided. While advent in technology is making wireless or satellite networks communication more simple, setting up advanced technologies like Telecardiology is becoming easier and less expensive. Doctors and other healthcare providers use electrocardiographic data, which is transmitted remotely, in real time, for interpretation by a specialist.
Ayonix recently integrated its face recognition into Axis cameras. Axis P1367 camera can recognize people faces, analyzes gender, age, smile information inside camera.
Design and Analysis of Quantization Based Low Bit Rate Encoding Systemijtsrd
The objective of this paper is to develop a low bit rate encoding for VQ problems such as real time image coding.. The decision tree is generated by an offline process.. A new systolic architecture to realize the encoder of full search vector quantization VQ for high speed applications is presented here. Over past decades digital video compression technologies have become an integral part. Therefore the purpose is to improve image quality in Remote cardiac pulse measurement using Adaptive filter. It describes the approach to be used for feature extraction from many images.. This paper presents a real time application of compression of the image processing technique which can be efficiently used for the interfacing with any hardware. Therefore we have used Raspberry Pi in compression of image. We have developed an algorithm that is based on the endoscopic images that consist of the differential pulse code modulation. The compressors consist of a low cost YEF colour space converters and variable length predictive algorithm for lossless compression. Mr. Nilesh Bodne | Dr. Sunil Kumar "Design and Analysis of Quantization Based Low Bit Rate Encoding System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29289.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/29289/design-and-analysis-of-quantization-based-low-bit-rate-encoding-system/mr-nilesh-bodne
Telecardiology is a modern medical practice which enables outreach of specialist healthcare to people in remote locations. The technology harnesses the power of telecommunications to achieve remote diagnosis and treatment of heart disease, thus increasing the effectiveness and ease of care provided. While advent in technology is making wireless or satellite networks communication more simple, setting up advanced technologies like Telecardiology is becoming easier and less expensive. Doctors and other healthcare providers use electrocardiographic data, which is transmitted remotely, in real time, for interpretation by a specialist.
This is a basic introduction for kinect v1 and processing in 2014. However, some practice codes not included in this slide. It's only the concept help you understand some information about how using processing play with kinect.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
HUMAN MOTION DETECTION AND TRACKING FOR VIDEO SURVEILLANCEAswinraj Manickam
An approach to detect and track groups of people in video-surveillance applications, and to automatically recognize their behavior.
This method keeps track of individuals moving together by maintaining a spacial and temporal group coherence.
First, people are individually detected and tracked. Second, their trajectories are analyzed over a temporal window and clustered using the Mean-Shift algorithm.
A coherence value describes how well a set of people can be described as a group. Furthermore, we propose a formal event description language.
The group events recognition approach is successfully validated on 4 camera views from 3 data sets: an airport, a subway, a shopping center corridor and an entrance hall.
SENSITIVITY OF A VIDEO SURVEILLANCE SYSTEM BASED ON MOTION DETECTIONsipij
The implementation of a stand-alone system developed in JAVA language for motion detection has been discussed. The open-source OpenCV library has been adopted for video surveillance image processing thus implementing Background Subtraction algorithm also known as foreground detection algorithm. Generally the region of interest of a body or object to detect is related to a precise objects (people, cars, etc.) emphasized on a background. This technique is widely used for tracking a moving objects. In particular, the BackgroundSubtractorMOG2 algorithm of OpenCV has been applied. This algorithm is based on Gaussian distributions and offers better adaptability to different scenes due to changes in lighting and the detection of shadows as well. The implemented webcam system relies on saving frames and creating GIF and JPGs files with previously saved frames. In particular the Background Subtraction function, find Contours, has been adopted to detect the contours. The numerical quantity of these contours has been compared with the tracking points of sensitivity obtained by setting an user-modifiable slider able to save the frames as GIFs composed by different merged JPEGs. After a full design of the image processing prototype different motion test have been performed. The results showed the importance to consider few sensitivity points in order to obtain more frequent image storages also concerning minor movements.Sensitivity points can be modified through a slider function and are inversely proportional to the number of saved images. For small object in motion will be detected a low percentage of sensitivity points.Experimental results proves that the setting condition are mainly function of the typology of moving object rather than the light conditions. The proposed prototype system is suitable for video surveillance smart
camera in industrial systems.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Computer m
emory is expensive and the recording of data captured by a webcam needs memory. I
n order to minimize the
memory usage in recording data from human motion as recorded from the webcam, this algorithm will use motion
detection as applied to a process to measure the change in speed or vector of an object in the field of view. This
applicat
ion only works if there is a motion detected and it will automatically save the captured image in its designated
folder.
This is a basic introduction for kinect v1 and processing in 2014. However, some practice codes not included in this slide. It's only the concept help you understand some information about how using processing play with kinect.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
HUMAN MOTION DETECTION AND TRACKING FOR VIDEO SURVEILLANCEAswinraj Manickam
An approach to detect and track groups of people in video-surveillance applications, and to automatically recognize their behavior.
This method keeps track of individuals moving together by maintaining a spacial and temporal group coherence.
First, people are individually detected and tracked. Second, their trajectories are analyzed over a temporal window and clustered using the Mean-Shift algorithm.
A coherence value describes how well a set of people can be described as a group. Furthermore, we propose a formal event description language.
The group events recognition approach is successfully validated on 4 camera views from 3 data sets: an airport, a subway, a shopping center corridor and an entrance hall.
SENSITIVITY OF A VIDEO SURVEILLANCE SYSTEM BASED ON MOTION DETECTIONsipij
The implementation of a stand-alone system developed in JAVA language for motion detection has been discussed. The open-source OpenCV library has been adopted for video surveillance image processing thus implementing Background Subtraction algorithm also known as foreground detection algorithm. Generally the region of interest of a body or object to detect is related to a precise objects (people, cars, etc.) emphasized on a background. This technique is widely used for tracking a moving objects. In particular, the BackgroundSubtractorMOG2 algorithm of OpenCV has been applied. This algorithm is based on Gaussian distributions and offers better adaptability to different scenes due to changes in lighting and the detection of shadows as well. The implemented webcam system relies on saving frames and creating GIF and JPGs files with previously saved frames. In particular the Background Subtraction function, find Contours, has been adopted to detect the contours. The numerical quantity of these contours has been compared with the tracking points of sensitivity obtained by setting an user-modifiable slider able to save the frames as GIFs composed by different merged JPEGs. After a full design of the image processing prototype different motion test have been performed. The results showed the importance to consider few sensitivity points in order to obtain more frequent image storages also concerning minor movements.Sensitivity points can be modified through a slider function and are inversely proportional to the number of saved images. For small object in motion will be detected a low percentage of sensitivity points.Experimental results proves that the setting condition are mainly function of the typology of moving object rather than the light conditions. The proposed prototype system is suitable for video surveillance smart
camera in industrial systems.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Computer m
emory is expensive and the recording of data captured by a webcam needs memory. I
n order to minimize the
memory usage in recording data from human motion as recorded from the webcam, this algorithm will use motion
detection as applied to a process to measure the change in speed or vector of an object in the field of view. This
applicat
ion only works if there is a motion detected and it will automatically save the captured image in its designated
folder.
Similar to iVision, an automated imaging system for IHC and ISH on Tissue Microarrays (20)
What is in situ hybridization
Radioactive ISH
Fluorescent ISH
Colorimetric ISH
ISH: three variables
The sample
The probe
Optimizing ISH Detection
ISH controls
Data Analysis
Summary table that compares the performance specifications of Illumina's new sequencers - HiSeq X and NextSeq with MiSeq and HiSeq 2500. Includes number of samples that can run on the different sequencers.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
2. Capturing the ResultsCapturing the Results
Tissue based assays generate
large amounts of image data.
Converting images into
STANDARDIZED numerical
values is critical.
Automation of “image capture
and analysis” of primary
importance.
4. Automated Image Capture and AnalysisAutomated Image Capture and Analysis
A walk-away “microscope”
Reads and analyzes 50
slides
Can automatically find
tissue on the slide and then
take images
Can convert images into
numbers
For analyses of single
tissue sections (I and G)
For rare cell detection (I)
For imaging of TMAs (G)
Vision
5. FeaturesFeatures
Digital capture
Live-view observation
Magnification (2 to 40x)
Autoloading (50 slide capacity)
Batch scan mode
Single tissue scans
Scoring and reporting flexibility (images, %I, %P,
area, length, hot spots, histograms)
Rare cell analysis
Tab delimited data exportability
Random Access: Any slide, any protocol.
6. Vision Hardware SpecificationsVision Hardware Specifications
Slide handling
50 slide random access autoloader with integrated barcode reader with >100
linkable protocol barcodes
Imaging platform
Brightfield microscopy. Automated BX-series microscope with motorized X-Y-Z
stage (scanning speed - 0.3 seconds/field with sub-micron resolution) and
joystick control. Plan achromatic 2x, 4x, 10x, 20x (40x optional) lenses
Camera
DVC 1.4 megapixel (1330 x 1030 pixels) CCD digital camera; 10 bits/color
channel (30 bits 3-color)
Imaging parameters
Pixel size field of view scanning time
2x lens 3.33 µm/pixel 4.2 mm x 3.4 mm ~ 10 sec. (2cm x 2cm)
4x lens 1.66 µm/pixel 2.1 mm x 1.7 mm ~ 40 sec. (2cm x 2cm)
10x lens 0.66 µm/pixel 0.85 mm x 0.67 mm ~ 4 min. (2cm x 2cm)
20x lens 0.33 µm/pixel 0.42 mm x 0.34 mm ~ 16 min. (2cm x 2cm)
40x lens 0.16 µm/pixel 0.21 mm x 0.17 mm ~ 64 min. (2cm x 2cm)
File sizes
JPEG image: ~150 kb; TIFF image: ~8 mb; complete ivision result file: ~300mb
7. iVision Software: Single Tissue ScansiVision Software: Single Tissue Scans
Steps:
1. Enter Slide and batch info
2. Scan
3. Open Results
4. Analyze Results
5. Export Results to Report
16. iVISION: Annotate an imageiVISION: Annotate an image
Breast CarcinomaBreast Carcinoma
ER-, PR-, HER-2 +ER-, PR-, HER-2 +
HER-2 FISH inconclusiveHER-2 FISH inconclusive
23. Imaging Tissue ArraysImaging Tissue Arrays
Biggest bottleneck is Imaging
The GenoMx Vision
•can automatically find tissue elements
on a slide
•can semi-automatically map the tissue
elements
•can capture each element as a
separate image
•can convert images into hard
numbers
A1
A2A3 A4
B1B1
B1 B1
•Intensity of stained
and unstained
•Proportion of cells
with staining
24. GenoMx VISION: Tissue array scansGenoMx VISION: Tissue array scans
The most rapid high-resolution imager for
Tissue arrays (0.3sec/field)
Will identify tissue array elements of any
size at any density <1200 elements/slide.
Will map the tissue array elements
automatically!
Will quantitate all the tissue array
elements and generate a report
automatically
Will produce image files (JPEG or TIFF)
for all the elements on a TMA
36. Vision: Future DirectionsVision: Future Directions
Fluorescence
imaging (multiple
analytes)
Flexible data
management via
Filemaker
Remote/Satellite
stations for analysis
of archived results
37. Analyzing 1 TMA slideAnalyzing 1 TMA slide
Type Name Here
Type Title Here
Load Slide
(Label to right)
Type Name Here
Type Title Here
Start Genomyx
Run Calibration
38. CompetitionCompetition
Features BioGenex Bacus Lab ChromaVision Applied Imaging Aperio/Dako
Digital/Color Yes/Yes Yes/Yes No/Yes No/No Yes/Yes
Sens/Resol 1.1 B/1.3M 16.8 M/1.3 M 16.8 M/0.3 M 16.8 M/0.3 M 16.8 M/1.3 M
Slide/Access 50/All 1/1 100/4 50/All 1/1
Bar Code Yes No Yes No No
Bright/Fluo Yes/Yes* Yes/No Yes/No Yes/Yes Yes/No
Speed/Size 8 min/1.5 GB ~2 hr/4.5 GB ~ 1/2 hr/1.5 GB .. ..
(200 Core 0.6 TMA)
*In development
Flex Report Yes No No .. ..
TMA Yes Yes Yes .. ..
Auto Map Yes No No .. ..
Core List Yes No No .. ..
Core Scan Yes No No .. ..
Flex Protocols Yes No No .. ..