Map++: A Crowd-sensing System for Automatic Map Semantics Identification

Digital maps have become a part of our daily life with a number of commercial and free map services. These services have still a huge potential for enhancement with rich semantic information to support a large class of mapping applications. In this paper, we present Map++, a system that leverages standard cell-phone sensors in a crowdsensing approach to automatically enrich digital maps with different road semantics like tunnels, bumps, bridges, footbridges, crosswalks, road capacity, among others. Our analysis shows that cell-phones sensors with humans in vehicles or walking get affected by the different road features, which can be mined to extend the features of both free and commercial mapping services. We present the design and implementation of Map++ and evaluate it in a large city. Our evaluation shows that we can detect the different semantics accurately with at most 3% false positive rate and 6% false negative rate for both vehicle and pedestrian-based features. Moreover, we show that Map++ has a small energy footprint on the cell-phones, highlighting its promise as a ubiquitous digital maps enriching service.Comment: Published in the Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON 2014

It's the Human that Matters: Accurate User Orientation Estimation for Mobile Computing Applications

Ubiquity of Internet-connected and sensor-equipped portable devices sparked a new set of mobile computing applications that leverage the proliferating sensing capabilities of smart-phones. For many of these applications, accurate estimation of the user heading, as compared to the phone heading, is of paramount importance. This is of special importance for many crowd-sensing applications, where the phone can be carried in arbitrary positions and orientations relative to the user body. Current state-of-the-art focus mainly on estimating the phone orientation, require the phone to be placed in a particular position, require user intervention, and/or do not work accurately indoors; which limits their ubiquitous usability in different applications. In this paper we present Humaine, a novel system to reliably and accurately estimate the user orientation relative to the Earth coordinate system. Humaine requires no prior-configuration nor user intervention and works accurately indoors and outdoors for arbitrary cell phone positions and orientations relative to the user body. The system applies statistical analysis techniques to the inertial sensors widely available on today's cell phones to estimate both the phone and user orientation. Implementation of the system on different Android devices with 170 experiments performed at different indoor and outdoor testbeds shows that Humaine significantly outperforms the state-of-the-art in diverse scenarios, achieving a median accuracy of $15^\circ$ averaged over a wide variety of phone positions. This is $558\%$ better than the-state-of-the-art. The accuracy is bounded by the error in the inertial sensors readings and can be enhanced with more accurate sensors and sensor fusion.Comment: Accepted for publication in the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2014

Use of Phenols, Peroxidase and Polyphenoloxidase of Seed to Quantify Resistance of Cotton Genotypes to Damping-off Incited by Fusarium oxysporum

A greenhouse test was conducted in 2011 and 2012 growing seasons at Giza Agricultural Research Station to evaluate the reaction of six cotton genotypes to damping-off incited by Fusarium oxysporum. Damping-off incidence on the genotypes ranged from 70-88%. In general, the genotypes could be divided into highly susceptible, susceptible, and moderately susceptible. Data for damping-off incidence and level or activity of some biochemical components (phenols, peroxidase, and polyphenoloxidase) were entered into a computerized linear regression analysis. The analysis contrasted seven predictive models by using the biochemical components, singly or in combination, as biochemical predictors. It was evident that models nos. 2 and 6 were the best models for predicting incidence of damping-off. The superiority of these models was attributed to their high RІ values (0.748 and 0.902, respectively) and the significance of their F. values (P = 0.026 and P = 0.031, respectively). The results of the present study suggest that peroxidase alone or both peroxidase and polyphenoloxidase, which may or may not parts of damping-off resistance mechanisms, can be used as biochemical markers to predict resistance to damping-off incited by F. oxysporum

Investigating the Impact of Changing the Usage Type of Existing Structure Using BIM

Many real estate owners change the building in terms of the type of usage in response to changes in economic conditions and the requirements of the surrounding environment to get the best potential financial return. To investigate the possibilities of changing the real estate's usage, the owners of these existing structures turned to feasibility study experts for assistance in making the optimum alternatives. So, they need an integrated model between VE and BIM, especially applicable to an existing structure, to determine the optimum usage type for the existing structure. Value Engineering (VE) and Building Information Modeling (BIM) must be connected to profit from both outputs simultaneously. Previous studies only investigated the VE alternatives during the design phase; when they decided to reduce project costs by using construction materials alternatives, they ignored existing structure alternatives significantly when changing the usage type. This study attempts to provide an integrated model between VE and BIM that can be applied to the existing structure to assist in determining the best alternative in terms of the type of usage for such existing structures by conducting BIM methodology such as a feasibility study, including BIM software such as Revit and Primavera. A feasibility study that contains the bank rate of interest. As a result, the maximum financial return is obtained based on predetermined criteria and in compliance with decision-making requirements. Doi: 10.28991/CEJ-2022-08-08-06 Full Text: PD

Managing New Groundwater Irrigated Lands in Egypt Using GIS

Geographic information technology is very important in the worldwide organizations due to its efficiency. Developments in different information systems and computer especially water resources data management systems, directly affect GIS. This technology can be used in Egypt which is an arid country to manage the water resources especially groundwater from both renewable and nonrenewable aquifers. The sustainable water management is one of the most important issues Egypt faces in reclamation lands, Water savings in agriculture in these new lands are an important objective of Egypt’s water strategy. Based on that the magnitude of potential water savings in agriculture and best achieve such savings and management is very important issue. In this study, the scope of the problem is how to manage the available groundwater resources in reclamation lands especially the most of reclamation land is far from the center of decision makers so there is a need to a remote management system. Therefore, it is necessary to develop an appropriate Spatial Decision Support System which quickly enables the decision makers to decide upon different planning and management issues and determine the optimal use of these resources without depletion. This research aims at building new water resources management tool to manage and control the groundwater resources by using a Web GIS in order to explore means of increasing water resources using efficiency in reclamation lands management based on dynamic maps and current data

Behçet’s disease: Spectrum of MDCT chest and pulmonary angiography findings in patients with chest complaints

AbstractObjectiveThe aim of the work was directed to evaluate the value of multi-detector computed tomography pulmonary angiography study in evaluation of known patients with Behcet’s disease.Materials and methodsThis study was done retrospectively and included eighteen known patients with Behcet’s disease and referred for MDCT pulmonary angiography.ResultsPulmonary artery aneurysm was the most common finding as it was found in 16 patients, followed by pulmonary embolism which was found in 14 patients, 12 patients with pulmonary hypertension, right ventricular strain in 6 patients, intracardiac thrombus in 4 patients, dilated bronchial arteries in 8 patients, venous occlusion in 4 patients, mosaic attenuation of the lung in 12 patients, pulmonary infarcts in 4 patients, and pleural effusion in 4 patients.ConclusionMDCT pulmonary angiography is an important diagnostic imaging tool for diagnosis of vascular complications in patients with Behcet’s disease

Alternative technique using dual source CT imaging for assessment of myocardial perfusion

AbstractPurposeTo elucidate the diagnostic role of multidetector DSCT for the assessment of myocardial perfusion in correlation with coronary luminal integrity in a single CT scan while both tubes were operated in single energy mode.Methods and materialThirty-five patients were subjected to single acquisition contrast-enhanced, ECG-gated DSCT of the heart at rest. Postprocessing was performed generating two image sets: coronary CT angiographic images (cCTA) and myocardial perfusion images (CTP) for respective correlative assessment of coronary luminal integrity and myocardial perfusion. Perfusion defect was detected subjectively using gray scale images and the color coded first pass and color overlaid late enhancement (color attenuation) images were used for semi-objective evaluation and final objective and quantitative confirmation by density measurement.ResultsSignificant correlation and good agreement between the findings of DSCT myocardial perfusion and the findings of stenosis and its degree on cCTA on a segmental basis is noted with Cohen’s Kappa=0.67 and prevalence and bias adjusted Kappa=0.71 emphasizing the high diagnostic value of DSCT myocardial perfusion as compared to cCTA as the gold reference standard.ConclusionWe propose that comprehensive evaluation of coronary artery morphology and myocardial perfusion in patients with CAD could be achieved by single reproducible non-invasive contrast enhanced CT acquisition using DSCT scanners while operated in single energy mode with high sensitivity, specificity and diagnostic accuracy, it also has the potential to be the first, independent and stand out imaging choice in such field

From university social-responsibility to social-innovation strategy for quality accreditation and sustainable competitive advantage during COVID-19 pandemic

Purpose – The purpose of this study is to investigate conceptually and empirically the direct and indirect relationships between university social responsibility (USR), university social innovation strategy (USIS) in terms of social awareness (SA), intention for social innovation (ISI), organisational structure for social innovation (SSI) and innovativeness in social value creation (ISVC) and gaining a sustainable competitive advantage (SCA) at quality-accredited faculties of an emerging market. Design/methodology/approach – A conceptual model was presented and a mixed-methods approach was exploited to fill a research gap detected in strategic corporate social innovation literature. The authors formed a data collection team that contacted all the quality-accredited public and private/international faculties, of which 109 faculties in 11 Egyptian governorates responded and their quality units filled questionnaires that were analysed by structural equation modelling. For comprehensive understanding, qualitative interviews were set to gather data from managers/leaders and teaching staff working at those faculties in quality management and community engagement practices as well as students. Findings – Results demonstrated that USR positively and significantly influenced SCA and USIS. Further, USIS (in terms of ISI, SSI and ISVC) positively and significantly influenced SCA. However, USIS (in terms of SA) had a positive yet insignificant influence on SCA. Indirectly, USIS was found to be partially mediating USR–SCA relationship. Practical implications – University leaders/staff can gain insights on how to adopt differentiation strategies, which enable their institutions to shift from being just socially responsible to becoming socially innovative by presenting solutions to social, economic, cultural, environmental and health-care problems/challenges within their communities in general and during pandemics. This can be sustained through developing innovative quality-based processes/programmes/services related to education, research and community outreach that better serve social needs to be quality-accredited and unique over their rivals. Social implications – Satisfying social needs through promoting innovative processes/services can reinforce a favourable social change. Originality/value – From a cross-disciplinary perspective, the authors interwove conceptually sparse literature of strategic, operations, knowledge capacity and innovation management that studied university social innovation research area. Also, to the best of the authors’ knowledge, this is the first research that examined empirically USR–USIS–SCA relationships of quality-accredited faculties in an emerging economy during Covid-19 pandemic