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Register a new userA comparison between ways of the digital representation the ancient structures surfaces and create vertical sections (Khawabi-Tartous Castle)
مقارنة بين الطرق الرقمية في تمثيل السطوح الأثرية و إنشاء المقاطع الشاقولية (قلعة الخوابي - طرطوس)
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يعتبر التمثيل الثلاثي البعد للمنشآت الهندسية مرحلة مهمة في سياق التعبير الهندسي عن المنشآت و التصميم و الإجراءات الهندسية اللاحقة التي ستنفذ. من هذا المنطلق يهدف بحثنا إلى المقارنة بين طرق التمثيل الرقمي الثلاثي البعد للمنشآت المدنية ذات الاستخدامات الخاصة و منها المنشآت الأثرية من أجل الأعمال اللاحقة (توثيق ، ترميم) و سهولة الحصول على المقاطع العرضية. أجريت المقارنة الفنية و الاقتصادية بين طرق ثلاث: 1- الطريقة التقليدية باستخدام البرامج الحديثة civil 3d و برامج التصوير الرقمي باستخدام أجهزة الهاتف المحمول و برامجه الموافقة. 2- باستخدام برمجيات نظم المعلومات الجغرافية GIS و امكانياته المختلفة. 3- إمكانية استخدام الماسح الضوئي الليزري Laser scanner. و اعتمد في المفاضلة كمعيار حاسم على تحقيق الشروط الفنية و المردود الاقتصادي الأعظمي.
The 3Dimension representation of facilities engineering an important stage in the context of the expression of the engineering facilities and design engineering and subsequent action to be carried out. From this point of our research is designed to compare the methods of digital representation triple dimension to civilian facilities with special uses, including the archaeological monument for subsequent Business (documentation, restoration) and ease of access to cross-sections. Technical and economic comparison was conducted between three ways : 1. The traditional way using modern civil 3d programs and programs of digital photography using mobile phone hardware and software approval. 2. Using the different potential of Geographic Information Systems, GIS software. 3. The possibility of using a Laser scanner And adopted as a standard in the comparison the method that gives maximum of economy to achieve the technical conditions.
References used
Alexandra Stadler, Thomas H. Kolbe,2010, spatio-semantic coherence in the integration of 3d city models , Institute for Geodesy and Geoinformation Science, Technische Universität Berlin
Shiode, N., 2010. 3D urban models: Recent developments in the digital modelling of urban environments in three-dimen-sions.GeoJournal 52: 263–269, Kluwer Academic Publishers
Ford ،A. ،2004. The visualization of integrated 3D petroleum datasets in ArcGIS. In: Proceedings of 24th ESRI user conference ،San Diego ،pp. 1–11
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Camera calibration has always been an essential component of photogrammetric
measurement, especially in high-accuracy close-range applications. Although the rapid
growth in adoption of digital cameras in 3D measurement applications, there are many
situations where the geometry of the image network will not support robust recovery of
camera parameters via on-the-job calibration. For this reason, stand-alone camera
calibration has again emerged as an important issue in photogrammetry and computer
vision.
In this paper, we give a rapid overview of the approaches adopted for camera
calibration in photogrammetry and computer vision. Also, we compare the method of selfcalibration,
largely used in photogrammetry, with the tow-steps method applied in
computer vision for digital camera calibration.
The purpose of this study was to evaluate the success of Formocresol
pulpotomy compared with Ferric sulfate and Electro coagulation and Laser
pulpotomy in primary teeth. Fourty seven primary second molars of
children aged 5-8 years, were divided r
andomly into four groups: 10
Formocresol , 13 Ferric sulfate , 13 Electro coagulation, 10 Laser.
All teeth were filled with ZOE and sealed with Compomer, and S.S.Crown
as final restoration.
The success rate was 90 % - 84.6 % - 84.6 % - 83.3 % respectively.
These differences were not statistically significant p=0.05), but there were a
relation between the pretreatment physiologic resorption of roots and the
type of hemorrhage during the amputation procedure.
This study revealed that Ferric sulfate, and Electro coagulation, and Laser
pulpotomy are good alternative to Formocresol pulpotomy.
We propose neural models to generate text from formal meaning representations based on Discourse Representation Structures (DRSs). DRSs are document-level representations which encode rich semantic detail pertaining to rhetorical relations, presuppos
ition, and co-reference within and across sentences. We formalize the task of neural DRS-to-text generation and provide modeling solutions for the problems of condition ordering and variable naming which render generation from DRSs non-trivial. Our generator relies on a novel sibling treeLSTM model which is able to accurately represent DRS structures and is more generally suited to trees with wide branches. We achieve competitive performance (59.48 BLEU) on the GMB benchmark against several strong baselines.
This research aimed for using Geographic Information System (GIS) in producing
Digital Elevation Model (DEM) for Dimas District, By applying various methods: Spatial
Analyst, Geo Statistical Analyst, Triangulated Irregular Network (TIN), and interp
olating
DEM from contour lines.
The study showed that the best methods for interpolating DEM is Kriging method,
Which interpolated an evaluated surface for scattered points which had (Z values) whether
they were closed or scattered from each other. And (TIN) method which required less area
on hard disc to be stored comparing with other methods, and it's perfect for representing
surfaces in wide areas, Also generating DEM from contour lines produced DEM which had
very accurate representing for surfaces.
نظم المعلومات الجغرافية
(Geographic Information System (GIS
التحليل المكاني
Kriging
نموذج الارتفاع الرقمية
المسافة الموزونة المعكوسة
الاشتقاق المكاني
المنهجية المنتظمة
المنهجية المتواترة
التحليل الجيو إحصائي
السطح المستمر
التخمين الإحصائي
التحليل ثلاثي الأبعاد
الشبكة المثلثاتية غير المنتظمة
خطوط التسوية
(Digital Elevation Model (DEM
Contour Lines
(Triangulated Irregular Network (TIN
3D Analyst
Continuous Surface
المزيد..
We present an end-to-end neural approach to generate English sentences from formal meaning representations, Discourse Representation Structures (DRSs). We use a rather standard bi-LSTM sequence-to-sequence model, work with a linearized DRS input repr
esentation, and evaluate character-level and word-level decoders. We obtain very encouraging results in terms of reference-based automatic metrics such as BLEU. But because such metrics only evaluate the surface level of generated output, we develop a new metric, ROSE, that targets specific semantic phenomena. We do this with five DRS generation challenge sets focusing on tense, grammatical number, polarity, named entities and quantities. The aim of these challenge sets is to assess the neural generator's systematicity and generalization to unseen inputs.
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