scholarly journals Comparative Cost Study for A residential Building Using Different Types of Floor System

2020 ◽  
Vol 13 (8) ◽  
pp. 1983
Author(s):  
Reema R. Nassar ◽  
Imad A. Al-Qasem
Keyword(s):  
Residential Building ◽  
Cost Study ◽  
Comparative Cost ◽  
Different Types ◽  
Floor System

scholarly journals CNN BASED DETECTION OF BUILDING ROOFS FROM HIGH RESOLUTION SATELLITE IMAGES

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 187-192
Author(s):  
L. Hang ◽  
G. Y. Cai
Keyword(s):  
High Resolution ◽  
Residential Building ◽  
Training Image ◽  
Training Dataset ◽  
Classification Approach ◽  
Object Based ◽  
High Resolution Satellite Images ◽  
Different Types ◽  
Model Training ◽  
Very High

Abstract. The detection and reconstruction of building have attracted more attention in the community of remote sensing and computer vision. Light detection and ranging (LiDAR) has been proved to be a good way to extract building roofs, while we have to face the problem of data shortage for most of the time. In this paper, we tried to extract the building roofs from very high resolution (VHR) images of Chinese satellite Gaofen-2 by employing convolutional neural network (CNN). It has been proved that the CNN is of a higher capability of recognizing detailed features which may not be classified out by object-based classification approach. Several major steps are concerned in this study, such as generation of training dataset, model training, image segmentation and building roofs recognition. First, urban objects such as trees, roads, squares and buildings were classified based on random forest algorithm by an object-oriented classification approach, the building regions were separated from other classes at the aid of visually interpretation and correction; Next, different types of building roofs mainly categorized by color and size information were trained using the trained CNN. Finally, the industrial and residential building roofs have been recognized individually and the results have been validated individually. The assessment results prove effectiveness of the proposed method with approximately 91% and 88% of quality rates in detection industrial and residential building roofs, respectively. Which means that the CNN approach is prospecting in detecting buildings with a very higher accuracy.

scholarly journals Comparative Cost Estimation of Residential Building

2021 ◽  
Vol 9 (8) ◽  
pp. 2735-2739
Author(s):  
Prof. Amit Kale
Keyword(s):  
Construction Industry ◽  
Cost Estimation ◽  
Construction Management ◽  
Research Effort ◽  
Construction Project ◽  
Residential Building ◽  
Construction Cost ◽  
Building Construction ◽  
Estimation Methods ◽  
Comparative Cost

Abstract: A construction project of any building is mainly based on 3 important steps that are planning, Cost Estimation of the building and proper execution of construction of the building. Construction cost estimation has the lion’s share of the research effort in construction management. The Objective is to analyze the effectiveness of various cost estimation methods by comparing traditional and various online websites. This study will provide more accurate estimates that save time and minimize errors. The research conducted will be helpful for estimation of construction, also proving how the introduction of IT sector in construction industry is turning out to be beneficial. Keywords: Estimation, Construction Management, Online Websites, minimize errors

scholarly journals The Grass is Greener: How Greenery Impacts the Perceptions of Urban Residential Property

2015 ◽  
Vol 1 (1) ◽  
pp. 22 ◽  
Author(s):  
Mykolas Simas Poškus ◽  
Diana Poškienė
Keyword(s):  
Residential Buildings ◽  
Perceived Value ◽  
Residential Building ◽  
Cost Effective ◽  
Green Spaces ◽  
Residential Property ◽  
Effective Solution ◽  
Convenience Sample ◽  
Different Types ◽  
Positive Effect

Can different types of greenery improve the perceived value, safety, prestige, coziness, and aesthetics of multistory residential buildings?<br />To find the answer, two studies were carried out. In Study 1, participants filled in questionnaires designed to measure the perceived value,<br />safety, prestige, coziness, and aesthetics of a building. Every questionnaire was accompanied with one of four images of the same residential building, the only difference between them was the type of greenery present near the building. Participants were asked to evaluate the building in the image by filling in the questionnaire. A convenience sample of 238 university students (mean age 20, SD = 2) participated in the experiment. Study 2 was an internet-based survey in which participants were presented with four images of a residential building and were asked to identify the most cozy, most expensive, most prestigious, most safe, and most aesthetic building. The pictures were the same as in Study 1. A snowball sample of 356 respondents (mean age 30, SD = 11) participated in the survey. The results indicate that buildings with sophisticated greenery and plain grass greenery are perceived most favorably, while unkempt and chaotic greenery were found to be associated with worse overall perceptions and decreased perceived value of residential property. When creating green spaces near residential buildings, we recommend considering plain grass greenery as it is the most cost-effective solution and has a positive effect on the perceptions of residential property and its value.

scholarly journals The INSPIRE Comparative Cost Study: 12-Month Health Economic and Clinical Outcomes Associated with Hysterectomy, Myomectomy, and Treatment with the Sonata System

2020 ◽  
Vol Volume 12 ◽  
pp. 1-11 ◽  
Author(s):  
Elizabeth Brooks ◽  
Linda Mihalov ◽  
Dipak Delvadia ◽  
Joseph Hudgens ◽  
Saifuddin Mama ◽  
...  
Keyword(s):  
Health Economic ◽  
Clinical Outcomes ◽  
Cost Study ◽  
Comparative Cost ◽  
System P

scholarly journals Closure of Lake Nasser Khores by Different Types of Dams, using Satellite Images

2020 ◽  
Vol 9 (3) ◽  
pp. 2095-2103
Keyword(s):  
Water Resources ◽  
Surface Area ◽  
High Water ◽  
Water Levels ◽  
Large Area ◽  
Artificial Lake ◽  
Cost Study ◽  
Lake Nasser ◽  
Evaporation Losses ◽  
Different Types

According to the agreement between Egypt and Sudan in 1959 for the full utilization of Nile water arriving Aswan, both countries agreed to build the High Aswan Dam (HAD) in 1964 to get benefits from the water which was flowing to the Mediterranean Sea. Therefore, Lake Nasser, the greatest artificial lake in the world, was created with large areas of shallow depths adjacent to the edges of the lake on both sides according to the topography of the surrounding area namely (khores). These khores increased the surface area; consequently, the estimated evaporation losses reach about 10 BCM/year in average. Reducing evaporation losses from HAD Lake is an option to increase the Egyptian available water resources. Many studies were done in order to partially or completely closure of the Khores, where the surface area of the khores of Lake Nasser is about one third of the total area of the lake, which indicates the effectiveness of its closure in decreasing the evaporation. The objectives of the research are studying the Lake Nasser’s large area khores, evaluating the idea of closing these khores using different types of dams such as earthfill, rockfill and rubber dams, and the consequent saved water. Meanwhile, a preliminary cost study for the different types of dams was done to determine the most suitable dam type. This research used the land sat 4 & 5 at years 1988 and 1999 in order to identify the surface area of the lake for the lowest and highest levels respectively. Also it gets benefit from the data available at Ministry of water Resources and Irrigation (MWRI), such as the Khores bathymetric maps and the evaporation rates of Lake Nasser. The results of the study show that Kalabsha khore is the most optimum for dam closure as its entrance is suitable for dam construction, and at high water levels it has the greatest area thus, reducing the evaporation. It is highly appreciated to use rubber dam either economically or environmentally. The amount of saved water reach about 1.0 Milliard m3 representing 11.11% of the annual total evaporation losses from Lake Nasser, the water saved may reach 1.53 Milliard m3 if the water level reaches 181.52 m for considerable time span.

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