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Knowledge-Based Urban Development The Impact of Knowledge- Based Urban Development in the Growth of Contemporary Cities
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Urban Development refers to many topics such as: increased population density, city size, and individual’s production, distribution of technology and the growth of commercial, industrial and service professions. Such development is linked to the coordination of social and cultural trends in order to achieve social progress and economical prosperity. Knowledge as a topic now is known as intellectual capital wich led to upgrae the concept of urban development to be extended into many fields of knowledge, for example, cultural, social and human development to move the level of community culture into a new better standard.

The research adopted the urban transformation based on knowledge as an important factor in growth and development of contemporary cities. T he lack of studies regarding this was the research problem which led to a hypothesis set as (Knowledge-based urban development is an important tool in contemporary cities growth). Research aimed (to build a knowledge frame-work related to knowledge-based urban development impact on contemporary cities growth) through the following sequence:

  1. Creating a knowledge-based urban development literature review.
  2. Clarifying the relationship between the knowledge-based urban development and knowledge workers.
  3. Determining the theoretical framework to recognize level of impact of knowledge-based urban development on the city growth.
  4. Testing the hypothesis according to the theoretical framework in selecting designated cities such as Sydney & Melbourne were selected as a case study, since they represent good examples for knowledge cities.

The research concluded that: knowledge-based urban development in cities depend on technical economic and community directories as a mechanism to achieve knowledge-based economy and build a new spatial relationship (Knowledge City).

Keywords: knowledge-based urban development, knowledge, knowledge workers, knowledge-based economy, Knowledge City.

Urban Development refers to many topics such as: increased population density, city size, and individual’s production, distribution of technology and the growth of commercial, industrial and service professions. Such development is linked to the coordination of social and cultural trends in order to achieve social progress and economical prosperity. Knowledge as a topic now is known as intellectual capital wich led to upgrae the concept of urban development to be extended into many fields of knowledge, for example, cultural, social and human development to move the level of community culture into a new better standard.

The research adopted the urban transformation based on knowledge as an important factor in growth and development of contemporary cities. T he lack of studies regarding this was the research problem which led to a hypothesis set as (Knowledge-based urban development is an important tool in contemporary cities growth). Research aimed (to build a knowledge frame-work related to knowledge-based urban development impact on contemporary cities growth) through the following sequence:

  1. Creating a knowledge-based urban development literature review.
  2. Clarifying the relationship between the knowledge-based urban development and knowledge workers.
  3. Determining the theoretical framework to recognize level of impact of knowledge-based urban development on the city growth.
  4. Testing the hypothesis according to the theoretical framework in selecting designated cities such as Sydney & Melbourne were selected as a case study, since they represent good examples for knowledge cities.

The research concluded that: knowledge-based urban development in cities depend on technical economic and community directories as a mechanism to achieve knowledge-based economy and build a new spatial relationship (Knowledge City).

 

 

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Publication Date
Fri May 17 2013
Journal Name
International Journal Of Computer Applications
Fast Lossless Compression of Medical Images based on Polynomial
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In this paper, a fast lossless image compression method is introduced for compressing medical images, it is based on splitting the image blocks according to its nature along with using the polynomial approximation to decompose image signal followed by applying run length coding on the residue part of the image, which represents the error caused by applying polynomial approximation. Then, Huffman coding is applied as a last stage to encode the polynomial coefficients and run length coding. The test results indicate that the suggested method can lead to promising performance.

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Publication Date
Fri Apr 14 2023
Journal Name
Journal Of Medicinal And Chemical Sciences
Synthesis and Characterization of Heterocyclic Compounds-Based Liquid Crystals
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This research includes the synthesis, characterization, and investigation of liquid crystalline properties of new rod-shaped liquid crystal compounds 1,4- phenylene bis(2-(5-(four-alkoxybenzylidene)-2,4-dioxothiazolidin-3- yl)acetate), prepared thiazolidine-2,4-dione (I) by the thiourea reaction with chloroacetic acid and water in the presence of the concentrated hydrochloric acid. The n-alkoxy benzaldehyde (II)n synthesized from the reacted 4- hydreoxybenzaldehyde and n-alkyl bromide with potassium hydroxide, and then the compound (I) was reacted with (II)n in the presence of piperidine to produce compounds (III)n. Also, hydroquinone was converted into a corresponding compound (IV) by refluxing with two moles of chloracetyl chloride in pyr

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Publication Date
Sun Nov 01 2020
Journal Name
Iraqi Journal For Electrical And Electronic Engineering
A Systematic Review of Brain-Computer Interface Based EEG
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The futuristic age requires progress in handwork or even sub-machine dependency and Brain-Computer Interface (BCI) provides the necessary BCI procession. As the article suggests, it is a pathway between the signals created by a human brain thinking and the computer, which can translate the signal transmitted into action. BCI-processed brain activity is typically measured using EEG. Throughout this article, further intend to provide an available and up-to-date review of EEG-based BCI, concentrating on its technical aspects. In specific, we present several essential neuroscience backgrounds that describe well how to build an EEG-based BCI, including evaluating which signal processing, software, and hardware techniques to use. Individu

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Publication Date
Sat Jul 01 2023
Journal Name
International Journal Of Computing And Digital Systems
Human Identification Based on SIFT Features of Hand Image
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Publication Date
Sun Dec 02 2012
Journal Name
Baghdad Science Journal
Synthesis and Characterization of Derivatives Based on 4, - Dimercaptobiphenyl
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Starting from 4, - Dimercaptobiphenyl, a variety of phenolic Schiff bases (methylolic, etheric, epoxy) derivatives have been synthesized. All proposed structure were supported by FTIR, 1H-NMR, 13C-NMR Elemental analysis all analysis were performed in center of consultation in Jordan Universty.

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Publication Date
Thu Dec 01 2022
Journal Name
International Journal Of Electrical And Computer Engineering
SENTIMENT RETRIEVAL OF HEALTH RECORDS USING NLP-BASED ALGORITHM
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Publication Date
Fri Sep 15 2017
Journal Name
Research Journal Of Applied Sciences, Engineering And Technology
Graph-Based Text Representation: A Survey of Current Approaches
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Publication Date
Wed Jan 01 2025
Journal Name
Lecture Notes In Networks And Systems
Symlet Analysis for ECG-Based Diagnosis of Heart Dysfunction
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Publication Date
Fri Jan 01 2021
Journal Name
Cogent Engineering
Content-based image retrieval: A review of recent trends
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Publication Date
Thu Apr 25 2019
Journal Name
Engineering And Technology Journal
Improvement of Harris Algorithm Based on Gaussian Scale Space
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Features is the description of the image contents which could be corner, blob or edge. Corners are one of the most important feature to describe image, therefore there are many algorithms to detect corners such as Harris, FAST, SUSAN, etc. Harris is a method for corner detection and it is an efficient and accurate feature detection method. Harris corner detection is rotation invariant but it isn’t scale invariant. This paper presents an efficient harris corner detector invariant to scale, this improvement done by using gaussian function with different scales. The experimental results illustrate that it is very useful to use Gaussian linear equation to deal with harris weakness.

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