Those slides were presented during the International Conference on Software Reuse (ICSR 2015).
This presentation highlights key aspect of our work on change impact analysis on highly variable products.
Geniet die somer gedurende Desember, Januarie en Februarie deur veilig in die son te wees, adviseer die Kankervereniging van Suid-Afrika (KANSA). Velkanker is een van die mees algemene kankers in Suid-Afrika en is as gevolg van vel selbeskadiging, wat in die onderste gedeelte van die epidermis (die boonste laag van die vel) begin.
Lees meer: http://www.cansa.org.za/be-sunsmart/
Cervical cancer is the 2nd most common cancer among South African women & the leading cancer among black South African women - 1 in 39 women in South Africa will be diagnosed with Cervical Cancer (NCR 2005). Having regular Pap smears can detect abnormal cells in the cervix (mouth of the womb), that could develop into Cervical Cancer. We encourage all women to go for Pap smears at least every 3 years, from the age of 25, to detect abnormal cells early.
http://cansa.kansa.co.za/womens-health/
Geniet die somer gedurende Desember, Januarie en Februarie deur veilig in die son te wees, adviseer die Kankervereniging van Suid-Afrika (KANSA). Velkanker is een van die mees algemene kankers in Suid-Afrika en is as gevolg van vel selbeskadiging, wat in die onderste gedeelte van die epidermis (die boonste laag van die vel) begin.
Lees meer: http://www.cansa.org.za/be-sunsmart/
Cervical cancer is the 2nd most common cancer among South African women & the leading cancer among black South African women - 1 in 39 women in South Africa will be diagnosed with Cervical Cancer (NCR 2005). Having regular Pap smears can detect abnormal cells in the cervix (mouth of the womb), that could develop into Cervical Cancer. We encourage all women to go for Pap smears at least every 3 years, from the age of 25, to detect abnormal cells early.
http://cansa.kansa.co.za/womens-health/
Strategi bisnis untuk pengembangan produk kemasan terhadap kepuasan pelanggan, karena kemasan dalam suatu produk itu sangat harus diperhatikan betul oleh pelaku bisnis, karena yang pertama dilihat oleh konsumen yaitu kemasannya baru melihat produk nya jadi kemasan suatu produk itu sangat harus diperhatikan
Data compression has increased by leaps and bounds over the years due to technical innovation, enabling the proliferation of streamed digital multimedia and voice over IP. For example, a regular cadence of technical advancement in video codecs has led to massive reduction in file size – in fact, up to a 1000x reduction in file size when comparing a raw video file to a VVC encoded file. However, with the rise of machine learning techniques and diverse data types to compress, AI may be a compelling tool for next-generation compression, offering a variety of benefits over traditional techniques. In this presentation we discuss:
- Why the demand for improved data compression is growing
- Why AI is a compelling tool for compression in general
- Qualcomm AI Research’s latest AI voice and video codec research
- Our future AI codec research work and challenges
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
A Hybrid DWT-SVD Method for Digital Video Watermarking Using Random Frame Sel...researchinventy
Digital watermarking refers to embedding watermarks in a multimedia documents and files in order to protect them from illegal copying and identifying manipulations. We proposed a technique is Hybrid DWTSVD method for digital video watermarking. This paper presents a robust and secure watermarking algorithm for video sequence. Proposed scheme divide the video in to frames and then blue channel is used for watermarking insertion. Discrete wavelet transform is used for watermark embedding. Watermark is inserted in to mid frequency component for better resistance to video manipulation operation. PSNR and MSE are computed for testing the proposed method
Strategi bisnis untuk pengembangan produk kemasan terhadap kepuasan pelanggan, karena kemasan dalam suatu produk itu sangat harus diperhatikan betul oleh pelaku bisnis, karena yang pertama dilihat oleh konsumen yaitu kemasannya baru melihat produk nya jadi kemasan suatu produk itu sangat harus diperhatikan
Data compression has increased by leaps and bounds over the years due to technical innovation, enabling the proliferation of streamed digital multimedia and voice over IP. For example, a regular cadence of technical advancement in video codecs has led to massive reduction in file size – in fact, up to a 1000x reduction in file size when comparing a raw video file to a VVC encoded file. However, with the rise of machine learning techniques and diverse data types to compress, AI may be a compelling tool for next-generation compression, offering a variety of benefits over traditional techniques. In this presentation we discuss:
- Why the demand for improved data compression is growing
- Why AI is a compelling tool for compression in general
- Qualcomm AI Research’s latest AI voice and video codec research
- Our future AI codec research work and challenges
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
A Hybrid DWT-SVD Method for Digital Video Watermarking Using Random Frame Sel...researchinventy
Digital watermarking refers to embedding watermarks in a multimedia documents and files in order to protect them from illegal copying and identifying manipulations. We proposed a technique is Hybrid DWTSVD method for digital video watermarking. This paper presents a robust and secure watermarking algorithm for video sequence. Proposed scheme divide the video in to frames and then blue channel is used for watermarking insertion. Discrete wavelet transform is used for watermark embedding. Watermark is inserted in to mid frequency component for better resistance to video manipulation operation. PSNR and MSE are computed for testing the proposed method
We develop custom Image Recognition systems for Aerospace and defence applications. Using algorithms like Deep Convolutional Neural Networks and Regional Convolutional Neural Networks.
Our algorithms for Target Recognition and Tracking are designed from the beginning to be run on embedded systems. We target both GPU and FPGA devices.
To Train and Validate our algorithms we developed a process to generate photorealistic 3D environments.
Those 3D Environments are used to produce realistic video streams of the targets in different environmental conditions (lighting, adverse meteorological conditions, camouflage, point-of-view).
The same technology can be used to Train and Test Automotive Vision Systems.
The 8115 is a new Ultra Short Throw( UST) projector from Dukane
For more than fifty years, Dukane’s Audio Visual Products Division has provided schools and businesses around the world with technology solutions that helped increase learning. With a network of trained professional dealers available to provide personal and localized sales support, Dukane is committed to meeting each customer’s particular needs.
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IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...Christopher Diamantopoulos
This implemented DSP system utilizes TCP socket communication. Upon message reception, it decides the appropriate process to be executed based on cases which can be categorized as follows:
1) image capture
2) image transfer
3) image processing
4) sensor calibration
A user-friendly MATLAB GUI, named DIPeth, facilitates the system's control.
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.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
1. 1Challenge the future
Feature Change Impact on
Configurations of a Multi-product Line
Nicolas Dintzner, PhD student
Technical Univesity of Delft, Netherlands
Prof. Martin Pinzger
Software Engineering Research Group
University of Klagenfurt, Austria
Prof. Arie van Deursen
Software Engineering Research Group
Technical University of Delft, Netherlands
joint work with
Prof. Uira Kulesza
Federal University of Rio
Grande do Norte, Natal, Brazil
5. 5Challenge the future
Change impact of sub-systems evolution:
the video chain scenario
Video chain
Configuration 1
Interface:
Data/Video exchange
3rd
party
Equipment
Sub-system:
Video chain
Video chain
Configuration 2
Video chain
Configuration 3
Data/Video exchange
High resolution
Data/Video exchange
Low resolution
Video chain
Configuration 4
REQUIRES
IMPLEMENTS
IMPLEMENTS
6. 6Challenge the future
Requirements and Variability
with a catch
X-Ray system
Sub-system:
Data transfer
Sub-system:
Image processing
Sub-system:
Display
Interface:
Data/Video exchange
Interface
Video signal: input/output
Interface:
Monitors
3rd
party
Equipment
Interactions ?
Components ?
Existing configurations!
REQUIRES
7. 7Challenge the future
Targets
• Model the system using available information
• Build an approach to evaluate the impact of a
feature change
• Evaluate the approach using known evolution
scenarios
8. 8Challenge the future
Methodology
Sub-system specifications
3rd
party integration documents
System Model Impact computation technique
Evolution scenarios
3rd
party integration team
reviews
validates
output
9. 9Challenge the future
Modeling sub-systems
X-Ray system
Sub-system:
Data transfer
Sub-system:
Image processing
Sub-system:
Display
Interface:
Data/Video exchange
Interface
Video signal: input/output
Interface:
Monitors
3rd
party
Equipment
requires
Sub-system:
Data transfer
Sub-system:
Image processing
Sub-system:
(Display)
feature model: subsystem
components
configurations: known product
configurations
- C1: splitter; VGA port; …
- C2: repeater, Ethernet port,…
10. 10Challenge the future
Modeling interfaces
X-Ray system
Interface:
Data/Video exchange
Interface
Video signal: input/output
Interface:
Monitors
3rd
party
Equipment
requires
Sub-system:
Data transfer
Sub-system:
Image processing
Sub-system:
Display
Sub-system:
Data transfer
Sub-system:
Image processing
Sub-system:
(Display)
feature model: interface capabilities
configurations: 3rd
party
requirements
- C1: send video; import data; …
- C2: import video, send data,…
17. 17Challenge the future
Prototype: changes and simulation
Neo4JFM
Feature model 1Feature model 1 Feature model 2Feature model 2
Select feature to remove1
2 Load and update FMs
Configurations of FM-1 Configurations of FM-2
Feature model 1Feature model 1
Configurations of FM-1
Feature model 1
(EDITED)
Feature model 1
(EDITED)
3 Validate existing configurations
4 Check shared feature constraints
Configurations of FM-1 (EDITED)
Shared feature
constraints
FM 1 – FM 2
Shared feature constraints FM 1 – FM 2
5 Propagation to FM 2
Shared feature constraints
FM 1 – FM 2 (EDITED)
Configurations of FM-2
18. 18Challenge the future
Conclusions of the 3rd
party integration
case study
Unified modeling for interfaces and subsystems
Model composition and impact computation
Graph database for feature models
Naming convention
Feature notation usage
The interface uses only part of the interface (intro to “interface configuration”)
Question: given a highly variable system, after a change, can I still produce a system that satisfies the 3rd party product requirements.
They want to know if a change invalidates the integration of a 3rd party product.
Model based approach, solve this.
The interface uses only part of the interface (intro to “interface configuration”)
Interfaces : many interfaces of different natures (10 or so – physical, electrical, logical, …. )
Components : hundreds.
Shared hardware!
Existing work !!! SPL Approach for impact computation
----- Meeting Notes (03/12/14 16:29) -----
building the feature models
Shared hardware!
Cardinality in feature model – no go.
Alternative using model merging here – missing constraints between feature model, or over-arching structure for the feature models.
