An Integrated Photogrammetric and Spatial Database Management System for Producing Fully Structured Data Using Aerial and Remote Sensing Images

3D spatial data acquired from aerial and remote sensing images by photogrammetric techniques is one of the most accurate and economic data sources for GIS, map production, and spatial data updating. However, there are still many problems concerning storage, structuring and appropriate management of spatial data obtained using these techniques. According to the capabilities of spatial database management systems (SDBMSs); direct integration of photogrammetric and spatial database management systems can save time and cost of producing and updating digital maps. This integration is accomplished by replacing digital maps with a single spatial database. Applying spatial databases overcomes the problem of managing spatial and attributes data in a coupled approach. This management approach is one of the main problems in GISs for using map products of photogrammetric workstations. Also by the means of these integrated systems, providing structured spatial data, based on OGC (Open GIS Consortium) standards and topological relations between different feature classes, is possible at the time of feature digitizing process. In this paper, the integration of photogrammetric systems and SDBMSs is evaluated. Then, different levels of integration are described. Finally design, implementation and test of a software package called Integrated Photogrammetric and Oracle Spatial Systems (IPOSS) is presented

Dynamic Enforcement of Differential Privacy

With recent privacy failures in the release of personal data, differential privacy received considerable attention in the research community.This mathematical concept, despite its young age (Dwork et al., 2006), has grabbed the attention of many researchers for its robustness against identification of individuals even in presence of background information.Besides that, its flexible definition makes it compatible with different data sources, data mining algorithms and data release models.Its compositionality properties facilitate design of differential privacy aware programming languages and frameworks that empower non-experts to construct complex data mining analyses with proven differential privacy guarantees.The goal of this research is to introduce new (and improve the current) differential privacy backed frameworks, prominent both in utility and flexibility of use.We study dynamic enforcement of differential privacy both in the centralised model in which a trusted curator process data stored in a centralised database and the local model with no trust on the third party.For the centralised model the thesis mostly focuses on the privacy impact of the basic building blocks used in these frameworks, proving correctness of the system built upon them.%The correctness is important since some frameworks (in this case PINQ) derivate from theory without proper justification.With respect to accuracy, we present personalised differential privacy as an improved method of enforcing privacy that provides better data utilisation and other benefits. In this setting, individuals take control of their privacy requirements rather than being seen as a part of a database. As a result, they can opt-in to a database with their expected privacy level and optionally opt-out later. We further study the privacy implication of other building blocks such as different kinds of sampling and partitioning.For the local model we propose a general framework in which the users can verify the recieved analyses and with a flexible policy express their privacy preference in different forms such as enforcing their personalised privacy budget

Professional socialization in clinical nurses- A phenomenological study

زمینه و هدف: اجتماعی شدن، فرآیند پذیرش نقش های حرفه ای و یک راه واقعی برای توسعه هویت حرفه ای به شمار می رود؛ لذا این مطالعه با هدف تبیین این مفهوم در پرستاران در بالین صورت گرفته است. روش بررسی: در این مطالعه توصیفی از نوع کیفی و با رویکرد پدیدارشناسی انجام شده است. 10 نفر پرستار بالینی از بیمارستان های آموزشی در شهرهای شهرکرد و تهران در مطالعه مشارکت داشتند. داده ها از مصاحبه های نیمه ساختار یافته و با تحلیل به کمک روشVan Manen استخراج گردید. یافته ها: شش درون مایه از تحلیل مصاحبه های پرستاران بالینی استخراج گردیدکه با کمک آن ها مفهوم اجتماعی شدن حرفه ای با درون مایه های شناوری شایستگی، استقلال عملی، پویایی بالینی، موردحمایت جامعه قرار گرفتن، دلبستگی حرفه ای و مشارکت منفعل گروهی تبیین گردید. نتیجه گیری: نتایج این مطالعه نشان داد که توصیف های تجارب پرستاران، راهنمای عملی برای مدیران آموزشی جهت بازبینی برنامه های درسی پرستاری وهمچنین مدیران پرستاری در برنامه های اجتماعی شدن مجدد بعد از انتقال نقش را فراهم نماید. این مطالعه، ضمن تبیین تجارب در خصوص مفهوم اجتماعی شدن در حرفه پرستاری، نقطه آغازی برای پژوهش بیشتر مفهوم و گسترش بدنه دانش حرفه ای پرستاری خواهد بود

Genotypic response of barley to exogenous application of nanoparticles under water stress condition

Beneficial nanoparticles (SiO2 and TiO2) can have various profound effects on the crop physiological, biochemical and morphological characteristics. Here, we evaluated the mitigation of drought stress in barley genotypes by foliar application of SiO2 and TiO2 nanoparticles under filed condition in North West of Iran. Nanoparticles were foliar applied in late vegetative phase and during reproductive stages. Drought was imposed at by irrigation withdrawals during the dry months in the end of the growing season. We measured parameters related morphological growth, yield, and yield component. The genetic diversity between the genotypes was quite evident and the highest seed yield and yield component were recorded for G1, G2, G4, G11, G12 and G13. Foliar application of nanoparticles considerably affected the plant height, thousand seed weight, biological and seed yield. The best performance was observed for plant treated with SiO2 nanoparticles. Spike length of G2, G6, G13 and G20 considerably responded to nano silicone foliar application. However, the best results for G8, G11 and G20 were obtained by foliar application TiO2 nanoparticles while this treatment decreased the seed yield components in G1, G5, G9, G10, G15 and G20. This could be due to genetic variation between the evaluated genotypes and high sensitivity of some genotypes to the applied concentration. The results of current study showed that application of SiO2 nanoparticles under water stress condition could have more beneficial effects on yield component of barley genotypes

Featherweight PINQ

Differentially private mechanisms enjoy a variety of composition properties. Leveraging these, McSherry introduced PINQ (SIGMOD 2009), a system empowering non-experts to construct new differentially private analyses. PINQ is an LINQ-like API which provides automatic privacy guarantees for all programs which use it to mediate sensitive data manipulation. In this work we introduce featherweight PINQ , a formal model capturing the essence of PINQ. We prove that any program interacting with featherweight PINQ’s API is differentially private

Trichlorido(5,5′-dimethyl-2,2′-bipyridine-κ2 N,N′)(methanol-κO)indium(III)

In the mol­ecule of the title compound, [InCl3(C12H12N2)(CH4O)], the InIII atom is six-coordinated in a distorted octa­hedral configuration by two N atoms from the chelating 5,5′-dimethyl-2,2′-bipyridine ligand, one O atom from a methanol molecule and three Cl atoms. In the crystal structure, inter­molecular O—H⋯Cl hydrogen bonds link the mol­ecules into chains parallel to [001]

Dichlorido(6-methyl-2,2′-bipyridine-κ2 N,N′)zinc(II)

In the mol­ecule of the title compound, [ZnCl2(C11H10N2)], the ZnII atom is four-coordinated in a distorted tetra­hedral configuration by two N atoms from the 6-methyl-2,2′-bipyridine ligand and by two Cl atoms. There are π–π contacts between the pyridine ring and the five-membered ring, and also between the pyridine rings, [centroid–centroid distances = 3.685 (3) and 3.757 (3) Å, respectively]

Di-μ-bromido-bis­[bromido(4,4′-dimethyl-2,2′-bipyridine-κ2 N,N′)mercury(II)]

The asymmetric unit of the title compound, [Hg2Br4(C12H12N2)2], contains one half-mol­ecule. The HgII atom is five-coordinated in a trigonal–bipyramidal configuration by two N atoms from the chelating 4,4′-dimethyl-2,2′-bipyridine ligand, two bridging Br and one terminal Br atom, leading to a centrosymmetric dimeric mol­ecule. There is a π–π contact between the pyridine rings [centroid-to-centroid distance = 3.756 (5) Å]

Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL

With the growing capabilities of autonomous vehicles, there is a higher demand for sophisticated and pragmatic quality assurance approaches for machine learning-enabled systems in the automotive AI context. The use of simulation-based prototyping platforms provides the possibility for early-stage testing, enabling inexpensive testing and the ability to capture critical corner-case test scenarios. Simulation-based testing properly complements conventional on-road testing. However, due to the large space of test input parameters in these systems, the efficient generation of effective test scenarios leading to the unveiling of failures is a challenge. This paper presents a study on testing pedestrian detection and emergency braking system of the Baidu Apollo autonomous driving platform within the SVL simulator. We propose an evolutionary automated test generation technique that generates failure-revealing scenarios for Apollo in the SVL environment. Our approach models the input space using a generic and flexible data structure and benefits a multi-criteria safety-based heuristic for the objective function targeted for optimization. This paper presents the results of our proposed test generation technique in the 2021 IEEE Autonomous Driving AI Test Challenge. In order to demonstrate the efficiency and effectiveness of our approach, we also report the results from a baseline random generation technique. Our evaluation shows that the proposed evolutionary test case generator is more effective at generating failure-revealing test cases and provides higher diversity between the generated failures than the random baseline

Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL

With the growing capabilities of autonomous vehicles, there is a higher demand for sophisticated and pragmatic quality assurance approaches for machine learning-enabled systems in the automotive AI context. The use of simulation-based prototyping platforms provides the possibility for early-stage testing, enabling inexpensive testing and the ability to capture critical corner-case test scenarios. Simulation-based testing properly complements conventional on-road testing. However, due to the large space of test input parameters in these systems, the efficient generation of effective test scenarios leading to the unveiling of failures is a challenge. This paper presents a study on testing pedestrian detection and emergency braking system of the Baidu Apollo autonomous driving platform within the SVL simulator. We propose an evolutionary automated test generation technique that generates failure-revealing scenarios for Apollo in the SVL environment. Our approach models the input space using a generic and flexible data structure and benefits a multi-criteria safety-based heuristic for the objective function targeted for optimization. This paper presents the results of our proposed test generation technique in the 2021 IEEE Autonomous Driving AI Test Challenge. In order to demonstrate the efficiency and effectiveness of our approach, we also report the results from a baseline random generation technique. Our evaluation shows that the proposed evolutionary test case generator is more effective at generating failure-revealing test cases and provides higher diversity between the generated failures than the random baseline