The Effect of Re-Use of Lossy JPEG Compression Algorithm on the Quality of Satellite Image

Hameed M Abduljabbar; Inbthaq Mohammed Ali Abdul Ameer Abdul Ameer

doi:10.14704/nq.2020.18.5.NQ20162

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Publication Date

Sat May 30 2020

Journal Name

Neuroquantology Journal

Volume

18

Issue Number

5

DOI

10.14704/nq.2020.18.5.NQ20162

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The Effect of Re-Use of Lossy JPEG Compression Algorithm on the Quality of Satellite Image

2D Scatter Plot

Signal-to-noise Ratio

Global Coefficient of Variation

Compression Ratio

Global Quartile Coefficient of Dispersion

Hameed M Abduljabbar

Inbthaq Mohammed Ali Abdul Ameer Abdul Ameer

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In this study, an analysis of re-using the JPEG lossy algorithm on the quality of satellite imagery is presented. The standard JPEG compression algorithm is adopted and applied using Irfan view program, the rang of JPEG quality that used is 50-100.Depending on the calculated satellite image quality variation, the maximum number of the re-use of the JPEG lossy algorithm adopted in this study is 50 times. The image quality degradation to the JPEG quality factor and the number of re-use of the JPEG algorithm to store the satellite image is analyzed.

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Publication Date

Sat May 31 2025

Journal Name

3rd International Scientific Conference For Human And Social Studies And Epistemological Challenges

Frankenstein Complex in Daniel H. Wilson's Robopocalypse ( ): Artificial Intelligence Conspiracies

With the advent of technology

the fear of losing control has consistently accompanied humanity. While humans have discovered

invented

and created many remarkable things

they have also been haunted by the possibility of their creations turning against them. This fear

often referred to as the Frankenstein Complex

derives its name from Mary Shelley's Frankenstein (􀀔􀀛􀀔􀀛)

in which Dr. Frankenstein's creation ultimately destroys its maker. The Frankenstein Complex embodies the subconscious fear of artificial intelligence (AI) surpassing and potentially dominating humankind. This apprehension has inspired numerous literary works

including Daniel H. Wilson’s novels. The present study examines the widespread fear of AI

which has fueled conspiracy theories in literature. These theories have not only amplified public anxiety but also hindered understanding among those with limited knowledge of AI and robotics. Dr. Wilson

a robotics expert

uses his imagination as a driving force for both his writing and his inventions. The research focuses on incidents leading to the rise of robots

the concept of the New War

how it was fought

and how it concluded. By comparing

contrasting

and analyzing literary elements and devices with prominent conspiracy theories

the study highlights the interplay between fiction and scientific development. The researchers conclude that while many conspiracy theories contain elements of truth

they often inspire scientists to explore them further. Additionally

some conspiracy theories warrant serious consideration. The study recommends acknowledging the Frankenstein Complex while maintaining faith in the potential benefits of artificial intelligence.

Ansam

Mayada

Zahraa

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Publication Date

Tue Dec 17 2019

Journal Name

Lecture Notes In Electrical Engineering

Aspect Categorization Using Domain-Trained Word Embedding and Topic Modelling

Aspect-based

Aspect category

Word-to-topic distribution

LDA

Word embedding

Omar Mustafa

Nurul Hashimah Ahamed Hassain

Yu-N

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Aspect-based sentiment analysis is the most important research topic conducted to extract and categorize aspect-terms from online reviews. Recent efforts have shown that topic modelling is vigorously used for this task. In this paper, we integrated word embedding into collapsed Gibbs sampling in Latent Dirichlet Allocation (LDA). Specifically, the conditional distribution in the topic model is improved using the word embedding model that was trained against (customer review) training dataset. Semantic similarity (cosine measure) was leveraged to distribute the aspect-terms to their related aspect-category cognitively. The experiment was conducted to extract and categorize the aspect terms from SemEval 2014 dataset.

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(3)

Publication Date

Sun Mar 07 2010

Journal Name

Baghdad Science Journal

Lymphocyte phenotyping in untreated children patients with chronic allergic asthma

"The mean percentage ± standard error is used to describe the results"

Maiss Kasim

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This study aimed to isolate and phenotype lymphocytes in untreated children patients with chronic allergic asthma. To reach such aim the study involved (25) patients from children (17 male and 9 female) whom their ages where between (3-10) years, in addition to (15) apparently healthy children (9 male and 6 female) in the same ages involved as control group. The data demonstrated that there was a significant increase in the mean percentages of T-lymphocytes (CD3+ cells) in the peripheral blood of patients (66.75±0.29)**, in comparison with control group (43.58±0.19), a significant increase in the mean percentages of T-helper lymphocytes (CD4+ cells) in the pe

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Publication Date

Sun Jun 06 2010

Journal Name

Baghdad Science Journal

Stochastic Non-Linear Pseudo-Random Sequence Generator

"Stochastic process

birth and death key generator (BDG)

linear feedback shift register (LFSR)

Pseudo- noise sequence

Auto-correlation function

Periodicity."

Mahmood A.

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Many of the key stream generators which are used in practice are LFSR-based in the sense that they produce the key stream according to a rule y = C(L(x)), where L(x) denotes an internal linear bit stream, produced by small number of parallel linear feedback shift registers (LFSRs), and C denotes some nonlinear compression function. In this paper we combine between the output sequences from the linear feedback shift registers with the sequences out from non linear key generator to get the final very strong key sequence

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Publication Date

Fri Dec 30 2016

Journal Name

Al-kindy College Medical Journal

Deep Vein Thrombosis Predisposing Factors Analysis Using Association Rules Mining

DVT risk factors

analysis of DVT risk factors

Data mining and DVT

Muthanna D.R.

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Background: DVT is a very common problem with a very serious complications like pulmonary embolism (PE) which carries a high mortality,and many other chronic and annoying complications ( like chronic DVT, post-phlebitic syndrome, and chronic venous insufficiency) ,and it has many risk factors that affect its course, severity ,and response to treatment. Objectives: Most of those risk factors are modifiable, and a better understanding of the relationships between them can be beneficial for better assessment for liable pfatients , prevention of disease, and the effectiveness of our treatment modalities. Male to female ratio was nearly equal , so we didn’t discuss the gender among other risk factors. Type of the study:A cross- secti

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Publication Date

Sat Aug 06 2022

Journal Name

Ijci. International Journal Of Computers And Information

Techniques for DDoS Attack in SDN: A Comparative Study

Keywords: machine learning

Software-Defined Networking

Network Security

Distributed Denial of Service

Ahmed

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Abstract Software-Defined Networking (commonly referred to as SDN) is a newer paradigm that develops the concept of a software-driven network by separating data and control planes. It can handle the traditional network problems. However, this excellent architecture is subjected to various security threats. One of these issues is the distributed denial of service (DDoS) attack, which is difficult to contain in this kind of software-based network. Several security solutions have been proposed recently to secure SDN against DDoS attacks. This paper aims to analyze and discuss machine learning-based systems for SDN security networks from DDoS attack. The results have indicated that the algorithms for machine learning can be used to detect DDoS

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(1)

Publication Date

Sun Sep 06 2015

Journal Name

Baghdad Science Journal

A New Three Step Iterative Method without Second Derivative for Solving Nonlinear Equations

nonlinear equations

Newton method

iterative method

three- step method

order of convergence

Raghad I.

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In this paper , an efficient new procedure is proposed to modify third –order iterative method obtained by Rostom and Fuad [Saeed. R. K. and Khthr. F.W. New third –order iterative method for solving nonlinear equations. J. Appl. Sci .7(2011): 916-921] , using three steps based on Newton equation , finite difference method and linear interpolation. Analysis of convergence is given to show the efficiency and the performance of the new method for solving nonlinear equations. The efficiency of the new method is demonstrated by numerical examples.

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Publication Date

Tue Jan 01 2019

Journal Name

Al-dhad Book Store And Publishing

Calculus part 2

Indefinite Integral

Long Polynomial Division

Methods of Integration

Definite Integral

Double Integral

Qutaiba N. Nayef

Eman Hassan

Nabila

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This book includes four main chapters: 1. Indefinite Integral. 2. Methods of Integration. 3. Definite Integral. 4. Multiple Integral. In addition to many examples and exercises for the purpose of acquiring the student's ability to think correctly in solving mathematical questions.

Publication Date

Mon Jan 01 2018

Journal Name

Al-dhad Book Store And Publishing

Calculus part 1

Types of Functions

Derivatives

Maximum Points

Minimum Points

Inflection Points

Partial Derivative

Qutaiba N. Nayef

Eman Hassan

Nabila

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This book includes three main chapters: 1. Functions & Their Derivatives. 2. Minimum, Maximum and Inflection points. 3. Partial Derivative. In addition to many examples and exercises for the purpose of acquiring the student's ability to think correctly in solving mathematical questions.

Publication Date

Thu Jun 20 2019

Journal Name

Baghdad Science Journal

Teen-Computer Interaction: Building a Conceptual Model with Thoughts- Emotion-Behaviour

Emotion In Adolescent

Interaction Design

Teen-Computer Interaction

Theory Of Psychosocial Development.

Omar

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Teen-Computer Interaction (TeenCI) stands in an infant phase and emerging in positive path. Compared to Human-Computer Interaction (generally dedicated to adult) and Child-Computer Interaction, TeenCI gets less interest in terms of research efforts and publications. This has revealed extensive prospects for researchers to explore and contribute in the region of computer design and evaluation for teen, in specific. As a subclass of HCI and a complementary for CCI, TeenCI that tolerates teen group, should be taken significant concern in the sense of its context, nature, development, characteristics and architecture. This paper tends to discover teen’s emotion contribution as the first attempt towards building a conceptual model for TeenC

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