scholarly journals Applying a Python script to predict the geotechnical properties of the Nasiriyah soil

2022 ◽  
Vol 961 (1) ◽  
pp. 012004
Author(s):  
Haneen Mohammed Ali ◽  
Ressol R Shakir
Keyword(s):  
Soil Properties ◽  
Low Cost ◽  
Measurement Data ◽  
Field Investigation ◽  
Natural Material ◽  
Python Script ◽  
Geotechnical Design ◽  
Spatially Varying ◽  
The City ◽  
Engineering Soil

Abstract Soil is a natural material that suffers from intrinsic spatial variability resulting from natural factors and their influence on the soil. It became controversial and debated how to estimate the characteristic value of soils to obtain a reliable geotechnical design with low cost and less effort. Usually, foundations are not built on the same site as the screening; investigations are carried out to excavate a little at essential sites. In this paper (423), test wells were collected in the study area to be obtained and tabulated in Excel. The kriging statistics is applied using a python script to predict the values of geotechnical site properties and reliability of the method in estimating spatially varying soil properties values based on measurement data and prior knowledge. The program implements probabilistic kriging statistics and predicts the desired value by entering the coordinates of the locations whose properties you want to know and based on the previously prepared Excel file of known points, coordinates, and property values. The program will be used in two soil sites in the city of Nasiriyah to predict its properties. These points were selected from the examination of soil investigation reports to determine the reliability and accuracy of the program in predicting values. To get more reliable probability values using the kriging method and python scripts. A huge database of prepared and analyzed engineering soil properties has been created based on field investigation reports for projects in Nasiriyah.

scholarly journals Interpolating spatially varying soil property values from sparse data for facilitating characteristic value selection

2018 ◽  
Vol 55 (2) ◽  
pp. 171-181 ◽  
Author(s):  
Tengyuan Zhao ◽  
Silvana Montoya-Noguera ◽  
Kok-Kwang Phoon ◽  
Yu Wang
Keyword(s):  
Limit State ◽  
Measurement Data ◽  
National Standard ◽  
Resistance Factors ◽  
Characteristic Value ◽  
Individual Judgment ◽  
Data Points ◽  
Geotechnical Design ◽  
Characteristic Values ◽  
Spatially Varying

Limit state design, incorporated into many recent geotechnical design codes, introduces the application of partial or resistance factors to selected characteristic values. Partial or resistance factors are usually set by national standard organizations, while characteristic values of geotechnical parameters are selected by engineers, often based on sparse measurement data combined with subjective engineering experience and judgment. Due to this subjective selection and individual judgment, the characteristic value derived by different engineers from the same dataset may vary greatly, especially when the test data contain significant variability. To address this issue, a new method based on Bayesian compressive sampling (BCS) is proposed in this study. BCS is able to reconstruct a high-resolution geotechnical property profile from sparse measurement data and quantify the uncertainty, e.g., confidence interval (CI) associated with the interpreted profile. The quantified uncertainty in the BCS has a clear statistical meaning: the corresponding confidence level for a CI from the BCS is the expected coverage proportion (i.e., fraction) of the complete profile that falls within the CI, if all data points along depth can be measured to provide the complete profile. This statistical meaning can be used to facilitate objective determination of characteristic values for geotechnical properties.

EXPERIMENTATION OF A LOW COST ELECTRONIC SYSTEM FOR MEASUREMENT OF THE ULTRAVIOLET RADIATION INDEX TO THE CITY OF CAMPINA GRANDE, BRAZIL

2019 ◽  
Author(s):  
Emerson da Trindade Marcelino ◽  
Júlio Mannuel Tavares Diniz ◽  
ALVARO ROCHA ◽  
Eisenhawer de Moura Fernandes ◽  
Raimundo Duarte ◽  
...  
Keyword(s):  
Ultraviolet Radiation ◽  
Low Cost ◽  
Electronic System ◽  
The City

scholarly journals Computation offloading through mobile vehicles in IoT-edge-cloud network

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Jun Long ◽  
Yueyi Luo ◽  
Xiaoyu Zhu ◽  
Entao Luo ◽  
Mingfeng Huang
Keyword(s):  
Reinforcement Learning ◽  
Energy Consumption ◽  
Low Cost ◽  
Computation Offloading ◽  
Mobile Edge Computing ◽  
Challenging Problem ◽  
Learning Technique ◽  
Cloud Network ◽  
The City ◽  
Task Offloading

AbstractWith the developing of Internet of Things (IoT) and mobile edge computing (MEC), more and more sensing devices are widely deployed in the smart city. These sensing devices generate various kinds of tasks, which need to be sent to cloud to process. Usually, the sensing devices do not equip with wireless modules, because it is neither economical nor energy saving. Thus, it is a challenging problem to find a way to offload tasks for sensing devices. However, many vehicles are moving around the city, which can communicate with sensing devices in an effective and low-cost way. In this paper, we propose a computation offloading scheme through mobile vehicles in IoT-edge-cloud network. The sensing devices generate tasks and transmit the tasks to vehicles, then the vehicles decide to compute the tasks in the local vehicle, MEC server or cloud center. The computation offloading decision is made based on the utility function of the energy consumption and transmission delay, and the deep reinforcement learning technique is adopted to make decisions. Our proposed method can make full use of the existing infrastructures to implement the task offloading of sensing devices, the experimental results show that our proposed solution can achieve the maximum reward and decrease delay.

scholarly journals An “Animated Spatial Time Machine” in Co-Creation: Reconstructing History Using Gamification Integrated into 3D City Modelling, 4D Web and Transmedia Storytelling

2021 ◽  
Vol 10 (7) ◽  
pp. 460
Author(s):  
Mario Matthys ◽  
Laure De Cock ◽  
John Vermaut ◽  
Nico Van de Weghe ◽  
Philippe De Maeyer
Keyword(s):  
Public Space ◽  
Low Cost ◽  
Three Dimensional ◽  
Physical Situation ◽  
Time Machine ◽  
Transmedia Storytelling ◽  
Spatial Reconstruction ◽  
3D Software ◽  
The City ◽  
City Models

More and more digital 3D city models might evolve into spatiotemporal instruments with time as the 4th dimension. For digitizing the current situation, 3D scanning and photography are suitable tools. The spatial future could be integrated using 3D drawings by public space designers and architects. The digital spatial reconstruction of lost historical environments is more complex, expensive and rarely done. Three-dimensional co-creative digital drawing with citizens’ collaboration could be a solution. In 2016, the City of Ghent (Belgium) launched the “3D city game Ghent” project with time as one of the topics, focusing on the reconstruction of disappeared environments. Ghent inhabitants modelled in open-source 3D software and added animated 3D gamification and Transmedia Storytelling, resulting in a 4D web environment and VR/AR/XR applications. This study analyses this low-cost interdisciplinary 3D co-creative process and offers a framework to enable other cities and municipalities to realise a parallel virtual universe (an animated digital twin bringing the past to life). The result of this co-creation is the start of an “Animated Spatial Time Machine” (AniSTMa), a term that was, to the best of our knowledge, never used before. This research ultimately introduces a conceptual 4D space–time diagram with a relation between the current physical situation and a growing number of 3D animated models over time.

scholarly journals Understanding Spatial Variability of NO2 in Urban Areas Using Spatial Modelling and Data Fusion Approaches

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 179
Author(s):  
Said Munir ◽  
Martin Mayfield ◽  
Daniel Coca
Keyword(s):  
Data Fusion ◽  
Spatial Variability ◽  
Urban Areas ◽  
Road Traffic ◽  
Dispersion Model ◽  
Low Cost ◽  
Spatial Modelling ◽  
City Centre ◽  
Small Scale ◽  
The City

Small-scale spatial variability in NO2 concentrations is analysed with the help of pollution maps. Maps of NO2 estimated by the Airviro dispersion model and land use regression (LUR) model are fused with measured NO2 concentrations from low-cost sensors (LCS), reference sensors and diffusion tubes. In this study, geostatistical universal kriging was employed for fusing (integrating) model estimations with measured NO2 concentrations. The results showed that the data fusion approach was capable of estimating realistic NO2 concentration maps that inherited spatial patterns of the pollutant from the model estimations and adjusted the modelled values using the measured concentrations. Maps produced by the fusion of NO2-LCS with NO2-LUR produced better results, with r-value 0.96 and RMSE 9.09. Data fusion adds value to both measured and estimated concentrations: the measured data are improved by predicting spatiotemporal gaps, whereas the modelled data are improved by constraining them with observed data. Hotspots of NO2 were shown in the city centre, eastern parts of the city towards the motorway (M1) and on some major roads. Air quality standards were exceeded at several locations in Sheffield, where annual mean NO2 levels were higher than 40 µg/m3. Road traffic was considered to be the dominant emission source of NO2 in Sheffield.

scholarly journals Assessing Inequitable Urban Heat Islands and Air Pollution Disparities with Low-Cost Sensors in Richmond, Virginia

2020 ◽  
Vol 12 (23) ◽  
pp. 10089
Author(s):  
Andre M. Eanes ◽  
Todd R. Lookingbill ◽  
Jeremy S. Hoffman ◽  
Kelly C. Saverino ◽  
Stephen S. Fong
Keyword(s):  
Air Pollution ◽  
Low Income ◽  
Green Space ◽  
Low Cost ◽  
Early Morning ◽  
Urban Heat Islands ◽  
Urban Heat ◽  
Adverse Environmental Conditions ◽  
East End ◽  
The City

Air pollution and the urban heat island effect are consistently linked to numerous respiratory and heat-related illnesses. Additionally, these stressors disproportionately impact low-income and historically marginalized communities due to their proximity to emissions sources, lack of access to green space, and exposure to other adverse environmental conditions. Here, we use relatively low-cost stationary sensors to analyze PM2.5 and temperature data throughout the city of Richmond, Virginia, on the ten hottest days of 2019. For both hourly means within the ten hottest days of 2019 and daily means for the entire record for the year, the temperature was found to exhibit a positive correlation with PM2.5. Analysis of hourly means on the ten hottest days yielded a diurnal pattern in which PM2.5 levels peaked in the early morning and reached their minima in the mid-afternoon. Spatially, sites exhibiting higher temperatures consistently had higher PM2.5 readings, with vulnerable communities in the east end and more intensely developed parts of the city experiencing significantly higher temperatures and PM2.5 concentrations than the suburban neighborhoods in the west end. These findings suggest an uneven distribution of air pollution in Richmond during extreme heat events that are similar in pattern but less pronounced than the temperature differences during these events, although further investigation is required to verify the extent of this relationship. As other studies have found both of these environmental stressors to correlate with the distribution of green space and other land-use factors in cities, innovative and sustainable planning decisions are crucial to the mitigation of these issues of inequity going forward.

Development of Bioimpedance Sensors and Measurement System for Biomedical In-Vitro Applications

2021 ◽  
Vol 7 (2) ◽  
pp. 496-499
Author(s):  
Stadler B. Eng. Sebastian ◽  
Herbert Plischke ◽  
Christian Hanshans
Keyword(s):  
Measurement System ◽  
Low Cost ◽  
Measurement Data ◽  
Impedance Measurement ◽  
Microtiter Plate ◽  
Label Free ◽  
Single Chip ◽  
Do It Yourself ◽  
Store And Forward

Abstract Bioimpedance analysis is a label-free and easy approach to obtain information on cellular barrier integrity and cell viability more broadly. In this work, we introduce a small, low-cost, portable in vitro impedance measurement system for studies where a shadow-free exposure of the cells is a requirement. It can be controlled by a user-friendly web interface and can perform measurements automated and autonomously at short intervals. The system can be integrated into an existing IoT network for remote monitoring and indepth analyses. A single-board computer (SBC) serves as the central unit, to control, analyze, store and forward the measurement data from the single-chip impedance analyzer. Various materials and manufacturing methods were used to produce a purpose-built lid on top of a modified 24-well microtiter plate in a “do it yourself” fashion. Furthermore, three different sensor designs were developed utilizing anodic aluminum oxide (AAO) membranes and gold-plated electrodes. Preliminary tests with potassium chloride (KCl) showed first promising results.

The sirch (Kerman, Iran) earthquake of 28 July 1981—A field investigation

1982 ◽  
Vol 72 (3) ◽  
pp. 841-861
Author(s):  
Hojjat Adeli
Keyword(s):  
Vertical Displacement ◽  
Field Investigation ◽  
Steel Buildings ◽  
Maximum Width ◽  
Epicentral Area ◽  
Historical Monuments ◽  
Fresh Surface ◽  
The City ◽  
The Town ◽  
Epicentral Region

abstract On 28 July 1981 at 17:22 UTC, the Kerman province of southern Iran was shaken by the largest and the most destructive earthquake in its history. Its surface-wave magnitude was about 7.2. The epicenter of the earthquake was located about 45 km southeast of the city of Kerman, the capital of the Kerman province. The shock killed nearly 3,000 people, left more than 31,000 homeless, and destroyed virtually all buildings in the epicentral region within a radius of 30 km. The hardest hit place was the town of Sirch where about 2,000 people died out of a population of 3,500. Surface fractures were observed in several areas, and the earthquake was apparently associated with a fresh surface normal faulting. The maximum vertical displacement was about 1 m. The maximum width of the fracture was 0.5 m. Also, extensive landsliding and numerous rockfalls were observed within the area of maximum damage. Most houses in the epicentral area are of adobe construction, made of sundried clay brick walls, and heavy domed roofs or vaults with clay or mud mortar. Most casualties were due to the collapse of these adobe buildings. However, the performance of unreinforced or reinforced brick buildings, historical monuments, steel buildings, and other types of structures during the earthquake is also discussed in this paper.

scholarly journals Removal of Zinc ions from industrial wastewater with wool fibers

2010 ◽  
Vol 7 (3) ◽  
pp. 1193-1201
Author(s):  
Baghdad Science Journal
Keyword(s):  
Acid Concentration ◽  
Contact Time ◽  
Industrial Wastewater ◽  
Metal Ion ◽  
Low Cost ◽  
Zinc Ion ◽  
Ion Concentration ◽  
Natural Material ◽  
Zinc Ions ◽  
Wool Fibers

In this research, the efficiency of low-cost unmodified wool fibers were used to remove zinc ion from industrial wastewater. Removal of zinc ion was achieved at 99.52% by using simple wool column. The experiment was carried out under varying conditions of (2h) contact time, metal ion concentration (50mg/l), wool fibers quantity to treated water (70g/l), pH(7) & acid concentration (0.05M). The aim of this method is to use a high sensitive, available & cheep natural material which applied successfully for industrial wastewater& synthetic water, where zinc ion concentration was reduced from (14.6mg/l) to (0.07mg/l) & consequently the hazardous effect of contamination was minimized.

scholarly journals ANALYSIS ON 3D RECONSTRUCTION OF THE MONUMENT TO HEROES AS A TOOL FOR A CONCEPTUAL AND METHODOLOGICAL APPROACH IN THE PATRIMONIZATION AND EVALUATION OF CULTURAL INTEREST GOODS

2019 ◽  
Vol XLII-2/W17 ◽  
pp. 279-286
Author(s):  
M. I. Rodriguez-Laiton ◽  
H. A. León-Vega ◽  
E. Upegui
Keyword(s):  
Public Space ◽  
Low Cost ◽  
Methodological Approach ◽  
The Public ◽  
Future Developments ◽  
The North ◽  
North Side ◽  
Starting Point ◽  
Simon Bolivar ◽  
The City

Abstract. The following article describes the implementation of a methodology for the structural reconstruction of the Heroes monument and the statue on the north side of Simon Bolivar Ecuestre located between the intersection of the north highway and 80th Street in Bogota (Colombia) from the acquisition of SFM photogrammetry methods and images, using low-cost sensors for this process and making use of drones from the obtaining of frames of a video to for areas with lower altimetric reach, and thereby creating an analysis in their accuracy, sizing and quality within the framework of appropriation and documentation of the cultural assets in the public space of the city Bogotá taking this data as a starting point for future developments in the process of 3D reconstructions Colombia.

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