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Register a new userإمكانية صناعة الخشب المضغوط من خشب لسان الطير ودراسة مواصفاته الفيزيائية والميكانيكية
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Damascus University رسالة ماجستير
Publication date
2012
fields
Agricultural Engineering
and research's language is
العربية
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تعتمد صناعة الخشب المضغوط في سوريا على بقايا خشب المناشر حيث يوجد في سورية مصنعان للخشب المضغوط أحدهما في غوطة دمشق و الأخر في اللاذقية
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References used
حميد أحمد محمود 2007 علم الأعشاب ومنتجات الغابة منشورات جامعة دمشق كلية الزراعة
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The results showed the possibility of getting at a wide rang of board with different properties, and all investigated percentage had special properties which to use in industrial application, also the result showed the possibility to produce these bo
ard without pretreatment of particles wood or without addition any virgin plastic to RLDPE
The results showed the possibility of getting of a wide spectrum of boards with different properties, and all studied percentages had special properties which allow them to use in industrial application, also the result showed the possibility to produce these boards without treatment of the wood particles or without addition any virgin plastic to RLDPE
This research includes a comparative study of the physical
properties of compressed wood factory of pine cones and tree Alazdrecht.
This study demonstrated the feasibility of manufacturing slabs of pressed
wood from pine cones and the remnants of pruning trees Alazdrecht and
physical attributes of a good، which contribute to the lifting of economic
value to them.
This paper presents an experimental study to determine the physical and
some other important properties of certain waste materials, in order to
identify the appropriate field of their recycling. The experiments have
been carried out using five proposed materials, namely: corn cob, peanut
peel, straw, pine cone, and sticks of the stem Thistle Syrian plants.
Compressive Sensing (CS) shows high promise for fully distributed
compression in wireless sensor networks (WSNs). In theory, CS
allows the approximation of the readings from a sensor field with
excellent accuracy, while collecting only a small fra
ction of them at
a data gathering point. However, the conditions under which CS
performs well are not necessarily met in practice. CS requires a
suitable transformation that makes the signal sparse in its domain.
Also, the transformation of the data given by the routing protocol
and network topology and the sparse representation of the signal
have to be incoherent, which is not straightforward to achieve in
real networks. In this paper we investigated the effectiveness of
data recovery through joint Compressive Sensing (CS) and
Principal Component Analysis (PCA) in actual WSN deployments.
We proposed a novel system, called CS-PCA that embeds a
feedback control mechanism to automatically change the
compression ratio through changing the number of transmitting
sensors, while bounding the reconstruction error. The considered
recovery techniques in the proposed system are: biharmonic Spline
(Spline), Deterministic Ordinary Least Square (DOLS),
Probabilistic Ordinary Least Square (POLS) and Joint CS and PCA
(CS-PCA). We found that the later outperform all other
interpolation technique in the case of slow varying signals, while
POLS was the most effective in case of fast varying signals that(
low correlation less than 0.45)
في هذا المشروع سوف نستثمر مجموعظة من الأدوات الرياضية من خوارزميات تعلم الآلة machine learning و الأمثلة المحدبة convex optimization و "النماذج الاحتمالية البيانية" probabilistic graphical model في إطار "الشبكات المعرفية" cognitive networking وذلك
لأمثلة optimize أنواع مختلفة من الشبكات اللاسلكية مثل: شبكات الحساسات اللاسلكية WSN ، و الشبكات التكتيكية الهجينة
tactical networks ، و الشبكات المحلية اللاسلكية WLAN . تتمثل "الشبكات المعرفية" في تطبيق "معرفة"
cognition على كامل مكدس البروتوكولات protocol stack لتحقيق أهداف الأداء، بخلاف "الراديو المعرفي"
cognitive radio الذي يطبق المعرفة فقط على الطبقة الفيزيائية.
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