ORIGINAL_ARTICLE
EVALUATION OF HOT MIX ASPHALT AND BINDER PERFORMANCE MODIFIED WITH HIGH CONTENT OF NANO SILICA FUME
This research aims to evaluate the mechanical properties of hot asphalt mixtures prepared using modified asphalt binders with various contents of nano-silica fume (NSF). The modification to virgin bitumen is done by shear mixing with NSF at low contents (2, 4, 6, and 8%) and high contents (20, 30, 40, and 50%) with bitumen weight. The homogeneity of the modified asphalts was assessed using Scanning Electron Microscopy. The rotational viscosity, softening point, and penetration tests were used to evaluate the rheological-physical properties of the modified asphalt binders. The stiffness, moisture damage, rutting, and fatigue of the hot mixes prepared with NSF-modified binders were evaluated using Marshall, indirect tensile strength, and double punching tests. The results showed a significant improvement in the rheological-physical properties of the modified binders with high content compared to low content of NSF. Therefore, the modified binders with 30%, 40%, and 50% of NSF were selected to prepare NSF-modified mixtures. The results showed that asphalt mixtures incorporating 30, 40, and 50% NSF-modified binders were more resistant to moisture damage, rutting, and fatigue cracking compared to the control mixture. The novelty in this research is to produce a modified asphalt mixture with two-thirds a quantity of bitumen while achieving a high performance compared to the control mixture
https://jesaun.journals.ekb.eg/article_167957_ff8fedfa2d84e696d2501941ca51b70d.pdf
2021-07-01
378
399
10.21608/jesaun.2021.70733.1046
Silica Fume
Moisture susceptibility
Double punching
rutting
Fatigue
Ali
Aboelmagd
ali_yousef@aun.edu.eg
1
Department of Civil Engineering, Assiut University, Egypt
LEAD_AUTHOR
Ghada
Moussa
ghada.moussa@aun.edu.eg
2
Department of Civil Engineering, Assiut University, Egypt
AUTHOR
Mahmoud
Enieb
m.enieb@aun.edu.eg
3
Department of Civil Engineering, Assiut University, Egypt
AUTHOR
Safwan
Khedr
safkhedr@aucegypt.edu
4
Department of Construction Engineering, American University in Cairo, Egypt
AUTHOR
El-Sayed
Abd Alla
elsayed.mohamed1@eng.au.edu.eg
5
Department of Civil Engineering, Assiut University, Egypt
AUTHOR
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54
ORIGINAL_ARTICLE
THE MEANING BEHIND THE DOMES: With the study of models in the modern age المعنى فيما وراء القباب مع دراسة نماذج فى العصر الحديث
This research represents an entry point for an attempt to understand and explain the philosophical ideas, expressions and symbolic meanings that appeared behind the domes while tracing the roots of these ideas in previous ages to reach the origin of that thought, as these ideas did not originate from a vacuum, but are inherited through the different generations, the owners of the same thought, place and culture, then test These ideas in the Egyptian reality through a group of contemporary research examples that contain the dome element, then expressing opinion and participation through thought by means of a questionnaire in which a group of architects, architecture students and users of the people participated, in order to reach the extent of understanding and credibility of those ideas, and from this point of view the This research calls for an understanding through the mind of society in general and the architect in particular of this architectural element inherited through different generations. يمثل هذا البحث مدخلاً لمحاولة فهم وتفسير الأفکار الفلسفية والتعبيرات والمعانى الرمزية التى ظهرت وراء عنصر القباب مع تتبع جذور هذه الأفکار بالعصور القديمة السابقة للوصول إلى أصل ذلک الفکر عبر العصور المختلفة منذ الحضارة المصرية القديمة ومرورا بالحضارة المسيحية وحتى الحضارة الإسلامية منذ عصر الولاه وحتى عصر محمد على, حيث أن هذه الأفکار لم تنبع من فراغ ولکنها متوارثة عبر الأجيال المختلفة أصحاب الفکر والمکان والثقافة الواحدة, ثم اختبار هذه الأفکار الرمزية عن القباب فى الواقع المصرى المعاصر من خلال مجموعة الأمثلة البحثية فى العصر الحديث وکذلک إبداء الرأى والمشارکة من خلال الفکر بواسطة الاستبيان الذى شارک فيه مجموعة من المهندسين المعماريين والطلاب الدارسين في مجال العمارة والمستخدمين من الناس, وذلک للوصول إلى مدى استيعاب ومصداقية تلک الأفکار فى الواقع المعاصر, ومن هذا المنطلق فإن هذا البحث دعوه للفهم من خلال العقل للمجتمع بشکل عام والمعمارى بشکل خاص للوصول لعالم أفضل يدعوا إلى الفهم والتدبر في الکون.
https://jesaun.journals.ekb.eg/article_170272_8c6a54f0b81bf3742d8c91499c5764c1.pdf
2021-07-01
400
423
10.21608/jesaun.2021.70266.1045
Domes - Symbolism - Expression - Thought - Meaning. القباب
الرمزية
التعبير
الفکر
المعنى
Kamal
Elgabalawy
kamal_elgabalawy@yahoo.com
1
Assist. Professor, Department of Architecture, Faculty of Engineering, Benha University, Egypt.
LEAD_AUTHOR
ORIGINAL_ARTICLE
Change detection for map updating using very high resolution satellite images
ABSTRACTThe earth surface changes continuously due to the natural causes and human activities. New generations of satellite sensors, such as WorldView and GeoEye, provide new data to better delineate, track and visualise changes in land cover. A number of classes are used in the satellite images. All artefacts with elevations greater than the ground surface (buildings in particular) may appear in a wrong location. The correction of buildings position is an important task for mapping applications. The main aim of this study is to introduce a change detection approach using very high resolution satellite images (VHR) for map updating. In this approach, an approximated method for building relief displacement correction was developed.In this paper, image preprocessing was carried out and information content of the satellite image was evaluated. Then change detection between GeoEye-1 image and Sohag map was carried out using post-classification comparison technique. After that the change map result was divided into two classes: building and non-building. All objects were transformed from raster to vector format. For building objects, the height was estimated. A python code was written to calculate relief displacement using buildings height and shadow length. The vector layer was added to update the reference map. The results showed the ability of very high-resolution satellites images for updating large scale maps in Egypt. Also, the approximated method for building relief displacement correction is a promising method. It has RMSE accuracy of 0.95m.
https://jesaun.journals.ekb.eg/article_171795_0dc37fb0677decba52c2659f40c170ee.pdf
2021-07-01
424
445
10.21608/jesaun.2021.67949.1039
map updating
Change Detection
relief displacement
Yasser
Gaber
yasser_g_m@yahoo.com
1
Civil Engineering Department, Faculty of Engineering, Sohag University
AUTHOR
Nasser
Ahmed
naserahmed@eng.sohag.edu.eg
2
Civil Engineering Department, Faculty of Engineering, Sohag University
LEAD_AUTHOR
Farrag
Ali Farrag
farrag@aun.edu.eg
3
Prof. of Surveying and Photogrammetry, Civil Engineering Department, Faculty of Engineering, Assiut University.
AUTHOR
[1]. Hegazy, I.R. and Kaloop, M.R., 2015. Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), pp.117-124.
1
[2]. Jin, S., Yang, L., Danielson, P., Homer, C., Fry, J. and Xian, G., 2013. A comprehensive change detection method for updating the National Land Cover Database to circa 2011. Remote Sensing of Environment, 132, pp.159-175.
2
[3]. Hu, Q., Zhen, L., Mao, Y., Zhou, X. and Zhou, G., 2021. Automated building extraction using satellite remote sensing imagery. Automation in Construction, 123, p.103509.
3
[4]. Chen, H., Zhang, K., Xiao, W., Sheng, Y., Cheng, L., Zhou, W., Wang, P., Su, D., Ye, L. and Zhang, S., 2021. Building change detection in very high-resolution remote sensing image based on pseudo-orthorectification. International Journal of Remote Sensing, 42(7), pp.2686-2705.
4
[5]. Chen, L.C., Lo, C.Y. and Rau, J.Y., 2003. Generation of digital orthophotos from IKONOS satellite images. Journal of surveying engineering, 129(2), pp.73-78.
5
[6]. Comber, A., Umezaki, M., Zhou, R., Ding, Y., Li, Y., Fu, H., Jiang, H. and Tewkesbury, A., 2012. Using shadows in high-resolution imagery to determine building height. Remote sensing letters, 3(7), pp.551-556.
6
[7]. Benarchid, O., Raissouni, N., El Adib, S., Abbous, A., Azyat, A., Achhab, N.B., Lahraoua, M. and Chahboun, A., 2013. Building extraction using object-based classification and shadow information in very high-resolution multispectral images, a case study: Tetuan, Morocco. Canadian Journal on Image Processing and Computer Vision, 4(1), pp.1-8.
7
[8]. Zhang, L., B. Zhong, and A. Yang. 2019. Building change detection using object-oriented lbp feature map in very high spatial resolution imagery. In Proceedings of 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multitemp), 1–4. Shanghai, China.
8
[9]. Technical specifications for the products and services of the Egyptian Survey Authority, Part 1: Topography and Geodesy, 2020.
9
[10]. Dahiya, S., Garg, P.K. and Jat, M.K., 2013. A comparative study of various pixel-based image fusion techniques as applied to an urban environment. International Journal of Image and Data Fusion, 4(3), pp.197-213.
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[11]. Mostafa, Y., and A. Abedehafez. 2017a. Shadow Identification in High Resolution Satellite Images in the Presence of Water Regions. Photogrammetric Engineering and Remote Sensing 83 (2): 87–94
11
[12]. Mostafa, Y., and A. Abedehafez. 2017b. Accurate Shadow Detection from High-Resolution Satellite Images. IEEE Geoscience and Remote Sensing Letters 14 (4): 494-498.
12
[13]. Mostafa, Y. 2017. A Review on Various Shadow Detection and Compensation Techniques in Remote Sensing Images. Canadian Journal of Remote Sensing 43 (6): 545–562.
13
[14]. Aguilar, M.A., Aguilar, F.J. and Agüera, F., 2008. Assessing geometric reliability of corrected images from very high-resolution satellites. Photogrammetric Engineering and Remote Sensing, 74(12), pp.1551-1560.
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[15]. Gungor, O. and Shan, J., 2004, July. Evaluation of satellite image fusion using wavelet transform. In proceedings of 20th Congress ISPRS “Geo-Imagery Bridging Continents (pp. 12-13), 12 - 23 July, Istanbul, Turkey.
15
[16]. Alkan, M., Buyuksalih, G., Sefercik, U.G. and Jacobsen, K., 2013. Geometric accuracy and information content of WorldView-1 images. Optical engineering, 52(2), p.026201.
16
[17]. Farrag, F.A., Mostafa, Y.G. and Mohamed, N.A., 2020. Detecting land cover changes using VHR satellite images: a comparative study. journal of engineering science, 48, pp.200-211.
17
[18]. Li, J., Cao, J., Feyissa, M.E. and Yang, X., 2020. Automatic building detection from very high-resolution images using multiscale morphological attribute profiles. Remote Sensing Letters, 11(7), pp.640-649.
18
[19]. Aguilar, M.A., del Mar Saldaña, M. and Aguilar, F.J., 2013. Assessing geometric accuracy of the orthorectification process from GeoEye-1 and WorldView-2 panchromatic images. International Journal of Applied Earth Observation and Geoinformation, 21, pp.427-435.
19
[20]. Raju, P.L.N., Chaudhary, H. and Jha, A.K., 2014. Shadow analysis technique for extraction of building height using high resolution satellite single image and accuracy assessment. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
20
[21]. Zhang, L., Zhong, B. and Yang, A., 2019, August. Building Change Detection using Object-Oriented LBP Feature Map in Very High Spatial Resolution Imagery. In 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp) (pp. 1-4). IEEE.
21
[22]. Feng, W., Sui, H., Hua, L., Xu, C., Ma, G. and Huang, W., 2020. Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map. International Journal of Remote Sensing, 41(17), pp.6595-6617.
22
[23]. Ma, W., Wan, Y., Li, J., Zhu, S. and Wang, M., 2019. An automatic morphological attribute building extraction approach for satellite high spatial resolution imagery. Remote Sensing, 11(3), p.337.
23
ORIGINAL_ARTICLE
Evaluation of the Hot Asphalt Mix Aggregate Gradation Using Bailey Method: A State-of-the-Art
The selection of the aggregate gradation, in the process of the asphalt mix design, is one of the most critical steps because it accounts for the overall strength of the asphalt mixture in terms of resisting the permanent deformation or rutting. This paper focuses on evaluating the current aggregate gradation selection procedure for the hot asphalt mix (HAM) using the three Bailey ratios. Additionally, this study analyzes, theoretically, the compaction and performance characteristics of the resulting HAM designed using the traditional design procedures which follow the trial-and-error technique in order to have a mix that satisfies the specification range. Results show that 14% of the samples prepared using the traditional technique satisfy the Bailey method guidelines and thus indicate good performance in the field. However, almost 80% of the asphalt mixes are tender asphalt mixes that are prone to segregation in the field, and 6 to 7% of the asphalt mixes are hard to compact. Based on the findings of this research, it is recommended that the Bailey Method analysis process should be incorporated into the mix design process as an additional tool to develop and select trial blends for the design of the asphalt mixes in Egypt.
https://jesaun.journals.ekb.eg/article_171794_f8027d647c96049ab9a13bab32420af6.pdf
2021-07-01
446
475
10.21608/jesaun.2021.71249.1047
Aggregate Gradation
Asphalt mix
Asphalt pavement
Bailey design method
Kareem
Othman
karemmohamed1993@cu.edu.eg
1
Civil engineering department, University of Toronto, Toronto, Canada;
LEAD_AUTHOR
ORIGINAL_ARTICLE
AN INTELLIGENT DETECTION SYSTEM FOR COVID-19 DIAGNOSIS USING CT-IMAGES
Early classification of the Coronavirus disease (COVID-19) is necessary to control its rapid spread and save patients’ lives. The fast spread of COVID-19 has increased the diagnostic encumbrance of radiologists. Therefore, clinicians need to quickly assess if a patient has COVID-19 or not. Artificial Intelligence (AI) has shown promising results in healthcare. So, this paper proposed a computer-aided intelligence model that can identify positive COVID-19 cases. It presented the pipeline of medicinal imaging and examination methods involved in COVID-19 image acquirement, segmentation, and diagnosis, using Computed Tomography (CT) images. This paper introduced two effective models for single machine learning (SML) and ensemble machine learning (EML) with 10-fold cross validation, to detect cases of COVID-19.The first classification model (SML) was applied with different algorithms, such as Decision Tree (DT), Artificial Neural Networks (ANN), and Support Vector Machines (SVM). Results showed that the performance of the SVM surpassed other classifiers with a 98.85 % accuracy. The second classification model (EML) was applied with several algorithms, such as Random Forest (RF), Voting, and Bagging, to increase its accuracy up to 99.60%, especially using the Bagging classifier. Finally, the results of the two proposed models showed better performance compared with other recent studies. However, the EML showed an even better performance than SML and is recommended for use in real-time.
https://jesaun.journals.ekb.eg/article_174737_7c8cd62c1efd383feda346b2884aaded.pdf
2021-07-01
476
508
10.21608/jesaun.2021.61028.1031
Artificial Intelligence (AI)
COVID-19
Machine learning (ML)
Segmentation Method
Ensemble Machine Learning
Amira
Hasan
amira.mohamed@aiet.edu.eg
1
Engineer, Electrical Engineering Department Alexandria Higher Institute of Engineering Technology (AIET),Alex, Egypt
LEAD_AUTHOR
Hala
Abd El Kader
hala.mohamed@gmail.com
2
Professor, Electrical Engineering, Department, Faculty of Engineering (Shoubra), Benha University, Cairo, Egypt
AUTHOR
Aya
Hossam
aya_zayan@yahoo.com
3
Lecturer, Electrical Engineering, Department, Faculty of Engineering (Shoubra), Benha University, Cairo, Egypt
AUTHOR
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[16] P. Garg & T. Jain. A comparative study on histogram equalization and cumulative histogram equalization. International Journal of New Technology and Research, vol.3, no.9, pp. 263242, 2017.
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[17] X. Chen, L. Yao, & Y. Zhang, Residual attention u-net for automated multi-class segmentation of covid-19 chest CT images. ArXiv preprint ArXiv: 2004.05645, 2020.
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[18] A. E. Hassanien, L. N. Mahdy, K. A. Ezzat, H. H. Elmousalami, & H. A. Ella, Automatic x-ray covid-19 lung image classification system based on multi-level Thresholding and support vector machine. MedRxiv, 2020.
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[19] J. H. Uhl, S. Leyk, Y. Y. Chiang, W. Duan & C. A. Knob lock. Spatializing uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing. IET Image Processing, vol.12, no. 11, pp. 2084-2091, 2018.
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[24] S. Varela-Santos, & P. Melin. A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks. Information sciences, vol.545, pp. 403-414, 2021.
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[26] P. K. Chandrakar, A. K. Shrivas, & N. Sahu, Design of a Novel Ensemble Model of Classification Technique for Gene-Expression Data of Lung Cancer with Modified Genetic Algorithm. EAI Endorsed Transactions on Pervasive Health and Technology, vol. 7, no.25, pp. e2, 2021.
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[27] M. Zivkovic, N. Bacanin, K. Venkatachalam, A. Nayyar, A. Djordjevic, I. Strumberger & F. Al-Turjman, COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach. Sustainable Cities and Society, vol.66, pp.102669, 2021.
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[28] M. Zaman & A. Hassan, Fuzzy Heuristics and Decision Tree for Classification of Statistical Feature-Based Control Chart Patterns. Symmetry, vol.13, no.1, pp.110, 2021.
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[29] A. M. Ali, K. Z. Ghafoor, H. S. Maghdid, & A. Mulahuwaish. Diagnosing COVID-19 Lung Inflammation Using Machine Learning Algorithms: A Comparative Study. In Internet of Medical Things for Smart Healthcare, pp. 91-105, Springer, Singapore, 2020.
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[30] M. Ilyas, H. Rehman & A. Naït-Ali. Detection of covid-19 from chest x-ray images using artificial intelligence: An early review. ArXiv preprint ArXiv: 2004.05436, 2020.
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[31] A. R. M. T. Islam, S. Talukdar, S. Mahato, S. Kundu, K. U. Eibek, Q. B. Pham, & N. T. T. Linh. Flood susceptibility modelling using advanced ensemble machine learning models. Geoscience Frontiers, vol.12, no.3, pp. 101075, 2021.
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[32] R. Mostafiz, M. S. Uddin, N. A. Alam, M.M. Reza, & M. M. Rahman, M. Covid-19 Detection in Chest X-ray through Random Forest Classifier using a Hybridization of Deep CNN and DWT Optimized Features. Journal of King Saud University-Computer and Information Sciences, 2020.
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[35] :https://www.kaggle.com/luisblanche/covidct?select=CT_NonCOVID
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[36] GitHub - UCSD-AI4H/COVID-CT: COVID-CT-Dataset: A CT Scan Dataset about COVID-19
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[37] S. Kadry, V. Rajinikanth, S. Rho, N. S. M. Raja, V.S. Rao & K. P. Thanaraj, Development of a machine-learning system to classify lung CT scan images into normal/covid-19 class. ArXiv preprint ArXiv: 2004.13122, 2020.
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[38] A. Hossam, H. M. Harb, & H. M. Abd El Kader. Automatic image segmentation method for breast cancer analysis using thermography. JES. Journal of Engineering Sciences, vol.46, no.1, pp.12-32, 2018.
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[39] Z. Fang, Z. Xu, T. Jang, F. Zhou & S. Huang, Standard deviation Quantitative Characterization and Process Optimization of the Pyramidal Texture of Mon crystalline Silicon Cells. Materials, vol.13, no.3, pp.564, 2020.
39
ORIGINAL_ARTICLE
Assessments of Barriers to Implementing Cost Control and Optimal Cost Reduction Techniques in Construction Projects: A Case Study of Egypt
The earned value management is a leading technique in monitoring and analyzing project performance and project progress. To fill the gap of limited researches for studying factors inhibiting the ability of contractors to effectively control their projects, a survey was conducted on 22 construction project organizations. It was noted that most project managers and contractors in Egypt find difficulty in controlling project costs due to problems which include Change order, Changes in the design, Errors in the design, current economic situation deterioration, Delay project and Rising prices of materials. Main objectives of this paper are; 1) Identify and prioritize main problems for lack of techniques which cause poor management of cost control with poor site organization and inadequate supervision. 2) Demonstrate the modified Activity Based Costing system as best choices for cost accounting approach for determining construction project accurate cost. To improve capital project cost schedule and predictability using project control system for monitoring and predicting the construction project outcomes. The detailed scope of control systems must base on complexity, size and sensitivity strategy of studied project.
https://jesaun.journals.ekb.eg/article_177147_79c52bc962caa6796ad0b2cd76e07f4c.pdf
2021-07-01
509
529
10.21608/jesaun.2021.68050.1041
Ranking factors
Activity Based Costing
value engineering
Earned Value Management
Target Cost and Construction Management
Yasser
Aboelmagd
yasser.aboelmajd@alexu.edu.eg
1
Assistant Professor, Department of Mathematics and physics Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt
LEAD_AUTHOR
Kenley, R. (2014). Productivity improvement in the construction process. Construction Management and Economics, 32(6), 489-494. https://doi.org/10.1080/01446193.2014.930500
1
Bent Flyvbjerg (2014). " What You Should Know About Megaprojects and Why: An Overview", Project Management Journal, Vol. 45, No. 2, 6 – 19.
2
Beaudet B.; Tobey B. and Harder S. (2019). "Life Cycle Cost Analysis for Decision Making in Collection System Rehabilitation". Pipelines 2019: Condition Assessment, Construction and Rehabilitation, pp. 187 – 197.
3
Dixit, S, Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2019a). Evolution of studies in construction productivity: A systematic literature review (2006-2017). Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2018.10.010
4
Reza S. and Arditi D. (2018) "Optimizing Financing Cost in Construction Projects with Fixed Project Duration" Journal of Construction Engineering and Management , Volume 144- Issue 4.
5
Adrian, J. (1987). “Construction Productivity Improvement”. Elsevier Science Publishing, Amsterdam, Netherlands.
6
Shah, M. N., Dixit, S., Kumar, R., Jain, R., & Anand, K. (2019). Causes of delays in slum reconstruction projects in India. International Journal of Construction Management, 1-16. https://doi.org/10.1080/15623599.2018.1560546
7
Abbas, M. (2012). "Improving Measurement of Project Performance in Earned Value Management" thesis submitted to the Civil Engineering Department, Alexandria University, in partial fulfillment of the requirements for the degree of Master of Science in Civil Engineering.
8
Abdel-Razek, R. (2007). “Labor productivity: Benchmarking and variability in Egyptian projects. International Journal of Project Management 25,189–197.
9
Dixit, Saurav, Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2019b). Study of Significant Factors Affecting Construction Productivity Using Relative Importance Index in Indian Construction Industry. 09010.
10
Baccarini, D. (1996). “The concept of project complexity-a review”. International Journal of Project Management Vol. 14, No. 4, pp. 201-204.
11
Fayek, A. (2001) "Activity-Based Job Costing for Integrating Estimating, Scheduling, and Cost Control, Cost Engineering, Morgantown, Vol. 43, No. 8.
12
Wang Q.; Mei T.; Kong L.; and Xiao Y. (2019), "Incentive Compensation Structure for Cost Control of Construction Project Based on IPD-Ish in China", International Conference on Construction and Real Estate Management, ICCREM 2019. Innovative Construction Project Management and Construction Industrialization, pp.101-108.
13
Adjei K.; Aigbavboa C. and Thwala W. (2017). "Corrective Measures for Construction Project Cost Control ". International Conference on Construction and Real Estate Management, ICCREM 2017: Project Management and Construction Technology, pp. 31 - 37.
14
Dixit, Saurav, Sharma, K., & Singh, S. (2020). Identifying and Analysing Key Factors Associated with Risks in Construction Projects. In K. G. Babu, H. S. Rao, & Y. Amarnath (Eds.), Emerging Trends in Civil Engineering (pp. 25-32). Singapore: Springer Singapore.
15
Buiten M. and Hartmann A. (2015). "Asset Management Perspective on the Duration of Public-Private Partnership Contracts: Cost-Control Trade-off" Journal of Construction Engineering and Management, Volume 141, Issue 3.
16
Aziz R. and Aboelmagd Y. (2019). "Integration between different construction bidding models to improve profitability and reduce prices". Alexandria Engineering Journal, Vol. 58, pp. 151–162.
17
Asmar M., Ramsey D., Gibson E. and Bearup W. (2020), "Design-Build for Transportation Projects: Cost and Schedule Change Performance Analysis", Journal of Legal Affairs and Dispute Resolution in Engineering and Construction. Volume 12 -Issue 1.
18
Elmousalami H. (2020). "Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review", Journal of Construction Engineering and Management , Volume 146-Issue 1.
19
Muhwezi, L., Acai, J., & Otim, G. (2014). An assessment of the factors causing delays on building construction projects in Uganda. Construction Engineering and Management, 3(1), 13-23. https://doi.org/10.5923/j.ijcem.20140301.02
20
Burke R., (2006)," Project Management. Planning and Control Techniques", John Wiley & Sons.
21
PMI. (2017). A Guide to the Project Management Body of Knowledge (PMBOK® Guide) - Sixth Edition. PMI.
22
Liu, L. and Zhu, K. (2007). "Improving cost estimates of construction projects using phased cost factors", Journal of Construction Engineering and Management, Vol.133, No. 1, pp.91-95.
23
Shaban M., (2013), "Methods Of Cost Control" thesis submitted to the Civil Engineering Department, Alexandria University, in partial fulfillment of the requirements for the degree of Master of Engineering in Civil Engineering .
24
Guo-li, Y (2010),"Project Time and Budget Monitor and Control", Management Science and Engineering" Vol.4, No.1, PP.56-61.
25
Liang, K. (2005), "Cost Control in Construction Project of the Site" report submitted in partial fulfillment of the requirements for the award of the degree of Bachelor of civil Engineering (Construction Management) – University Technology Malaysia.
26
El-Deeb A.,(2006),"Cost Control during construction phases" thesis submitted to the Architectural Engineering Department, Alexandria University, in partial fulfillment of the requirements for the degree of Master of Science in Architectural Engineering.
27
Lyer, K. and Jha, N. (2005). "Factors affecting cost performance: evidence from Indian construction projects", International Journal of Project Management, Publisher Elsevier UK. Vol.24, No. 4, pp. 283–295.
28
Olawale, Y. and Sun, M. (2010). “Cost and Time Control of Construction Projects: Inhibiting Factors and Mitigating Measures in Practice”. Construction Management and Economics, 28 (5), 509 – 526.
29
Hogg, R. V., and Tanis, E. A. (2009). Probability and statistical inference, 8th Ed., Prentice Hall, NJ.
30
Jarkas, A. M., Kadri, C. Y., & Younes, J. H. (2012). A survey of factors influencing the productivity of construction operatives in the state of Qatar. International Journal of Construction Management, 12(3), 1-23. https://doi.org/10.1080/15623599.2012.10773192.
31
Rasdorf J. and Abudayyh O. (1991), "Cost and Schedule- Control Integration Issues and Needs", Journal of the Construction Engineering and Management, ASCE, Vol. 117, No3. Page 486-502.
32
ORIGINAL_ARTICLE
The role of interactive interior design elements in supporting the functional targets of kindergarten spaces دور عناصر التصميم الداخلي التفاعلية في دعم المستهدفات الوظيفية لفراغات رياض الأطفال
Kindergarten buildings have a great role in forming the personality of the child at this age and contributing to the achievement of skills for the child. The development of kindergarten spaces aims mainly to improve the function of the main kindergarten buildings, from which it contributes to achieving the targeted skills of these buildings. The research problem is represented in the lack of clarity of the relationship between the interactive design elements and the skills intended to be acquired by the child inside the kindergarten buildings. This research paper aims at how to use the interactive design elements to support the function of the internal spaces of the kindergarten buildings, using the descriptive approach in describing the basic skills desired in the kindergarten and what It is the role of the interior designer in using and designing interactive elements that contribute to the development, and the descriptive analytical approach in identifying and describing the interactive elements and techniques that can be used within kindergarten classes, then the deductive approach to conclude the relationship between the desired skills from the kindergarten classes and the proposed interactive methods, including access to techniques and methods. The proposed interactive to develop the internal environment of kindergarten buildings. لمباني رياض الأطفال دور کبير في تکوين شخصية الطفل في هذه المرحلة العمرية والمساهمة في تحقيق مهارات للطفل، فتطوير فراغات مباني رياض الأطفال يهدف بشکل أساسي إلي تحسين وظيفة مباني رياض الأطفال الرئيسية ومنها يساهم في تحقيق المهارات المستهدفة من هذه الفراغات. وتتمثل مشکلة البحث الأساسية في عدم وضوح العلاقة بين العناصر التصميمية التفاعلية والمهارات المستهدف إکسابها للطفل داخل مباني رياض الأطفال لهذه المرحلة العمرية، فتهدف هذه الورقة البحثية إلي کيفية استخدام العناصر التصميمية التفاعلية لدعم وظيفة الفراغات الداخلية لمباني رياض الأطفال، باستخدام المنهج الوصفي في وصف المهارات الأساسية المرجوة من رياض الأطفال وما هو دور المصمم الداخلي في استخدام وتصميم عناصر تفاعلية تساهم في التطوير، والمنهج الوصفي التحليلي في حصر ووصف العناصر والتقنيات التفاعلية التي يمکن استخدامها داخل فصول رياض الأطفال، ثم المنهج الاستنتاجي لاستنتاج العلاقة بين المهارات المرجوة من فصول رياض الأطفال والأساليب التفاعلية المقترحة ومنها الوصول إلي التقنيات والأساليب التفاعلية المقترحة لتطوير البيئة الداخلية لمباني رياض الأطفال.
https://jesaun.journals.ekb.eg/article_177725_e9fcc4d66b55ed86e66313ad054c9ff1.pdf
2021-06-14
530
550
10.21608/jesaun.2021.77337.1054
التصميم الداخلي
روضة
التفاعلية
مهارات
Seham
Nofal
sehammnofal@yahoo.com
1
Department of Architecture, Faculty of Engineering, Assiut University, Assiut 71516, Egypt
LEAD_AUTHOR
Essam
Mahrous
essam1960m@yahoo.com
2
Department of Architecture, Faculty of Engineering, Assiut University, Assiut 71516, Egypt
AUTHOR
Khaled
Salah
khaled@aun.edu.eg
3
Department of Architecture, Faculty of Engineering, Assiut University, Assiut 71516, Egypt
AUTHOR
Mostafa
Ahmed
mostafa.ahmed@aun.edu.eg
4
Department of Architecture, Faculty of Engineering, Assiut University, Assiut 71516, Egypt
AUTHOR