International Journal of Adaptive Control and Signal Processing 2016 vol.30;iss.1

اختصاصی از اینو دیدی International Journal of Adaptive Control and Signal Processing 2016 vol.30;iss.1 دانلود با لینک مستقیم و پر سرعت .

Adaptive Control and Adaptive Signal Processing are areas of sufficient importance and maturity to warrant the publication of a journal exclusively devoted to these topics. The International Journal of Adaptive Control and Signal Processing is concerned with the design synthesis and application of estimators or controllers for uncertain systems. Papers which cover all aspects of the theory and application of adaptive systems are of interest. Contributions which explore the links between Adaptive Signal Processing and Control will be encouraged. Some papers on the design of controllers or estimators for uncertain systems which may not be strictly adaptive also fall within the scope of the journal. Application papers are particularly encouraged along with those which deal with the numerical aspects of the algorithms. Papers on the related aspects of software engineering expert systems intelligent control and filtering algorithms are also sought. Principal areas to be addressed include - Self-Tuning Control Model Reference and Adaptive Controllers Robust and Intelligent Controllers Adaptive Signal Processing Adaptive Control Applications Adaptive Signal Processing Applications VLSI Implementation of Adaptive Systems Discrete Event Processes Computer Networks Dynamic Routing Adaptive Control of QueueingInternational Journal of Adaptive Control and Signal Processing website (full text articles available online)

ترجمه مقاله Location Based Self Adaptive Routing Algorithm for Wireless Sensor Networks in Home Automation

اختصاصی از اینو دیدی ترجمه مقاله Location Based Self Adaptive Routing Algorithm for Wireless Sensor Networks in Home Automation دانلود با لینک مستقیم و پر سرعت .

Location Based Self Adaptive Routing Algorithm for Wireless Sensor Networks in Home Automation

Abstract

The use of wireless sensor networks in home automation (WSNHA) is attractive due to their characteristics of self-organization, high sensing fidelity, low cost, and potential for rapid deployment. Although the AODVjr routing algorithm in IEEE 802.15.4/ZigBee and other routing algorithms have been designed for wireless sensor networks, not all are suitable for WSNHA In this paper, we propose a location-based self-adaptive routing algorithm for WSNHA called WSNHA-LBAR. It confines route discovery flooding to a cylindrical request zone, which reduces the routing overhead and decreases broadcast storm problems in the MAC layer. It also automatically adjusts the size of the request zone using a self-adaptive algorithm based on Bayes’ theorem. This makes WSNHA-LBAR more adaptable to the changes of the network state and easier to implement. Simulation results show improved network reliability as well as reduced routing overhead.

الگوریتم مسیریابی خود تطبیقی مبتنی بر مکان برای شبکه های حسگر بی سیم در اتوماسیون خانگی

چکیده

استفاده از شبکه های گیرنده بی سیم در اتوماسیون داخلی (WSNHA) به دلیل خصوصیات خود سازماندهی ، دقت دریافت بالا، هزینه پایین، و پتانسیل هایی برای گسترش سریع جالب توجه می باشند. اگرچه الگوریتم مسیریابی در IEEE 802.15.4/ZigBee  و الگوریتم های مسیریابی دیگر برای شبکه های گیرنده بی سیم طراحی شده است، تمام آن ها برای WSNHA مناسب نمی باشد. در این مقاله، ما یک الگوریتم مسیریابی منطقی بر مبنای موقعیت برای شبکه های گیرنده بی سیم را برای WSNHA به نام WSNHA-LBAR مطرح می کنیم. آن مجموعه ای از مسیرهای اکتشافی را برای نواحی درخواستی استوانه ای محدود کرده، که مسیرهای بالاسری را کاهش داده و مشکلات مربوط به طوفانی از موارد منتشر شده را کمتر می کند. آن همچنین به صورت اتوماتیک اندازه نواحی درخواستی را با استفاده از الگوریتم خود انطباقی بر اساس قضیه بیزی تطبیق می دهد. این موارد WSNHA-LBAR را نسبت به تغییرات وضعیت شبکه سازگارتر کرده و برای اجرا آسان تر می کند. نتایج شبیه سازی بهبودی را در اعتبار شبکه ایجاد کرده و همچنین مسیربابی بالاسری را کاهش می دهد.

• سال : 2011
• تعداد صفحات انگلیسی پی دی اف : 15
• تعداد صفحات فارسی ورد : 26

 ( لینک دانلود مقاله همراه با ترجمه فارسی رو از لینک زیر دانلود کنید )

دانلود مقاله Adaptive Distributed Compressed Video Sensing

اختصاصی از اینو دیدی دانلود مقاله Adaptive Distributed Compressed Video Sensing دانلود با لینک مستقیم و پر سرعت .

Journal of Information Hiding and Multimedia Signal Processing ©2014 ISSN 2073-4212
Ubiquitous International

Xue Zhang1;3, Anhong Wang1, Bing Zeng2, and Lei Liu3

Received May, 2013; revised September, 2013

Abstract. Compressed sensing is a state-of-the-art technology which can signicantly
reduce the number of sampled data in sparse signal acquisition. This paper studies the dis-
tributed compressed sensing (DISCOS) of video signals. To this end, we propose adaptive
adjustments to the block-based (local) measurement rate, the frame-based (global) mea-
surement rate, and the sparse dictionary size, thus forming an adaptive DISCOS scheme
(aDISCOS). Two adjustments on measurement rates are based on the spatial and tem-
poral sparsity that is obtained through an analysis on the block-type and the inter-frame
motion, while the sparse dictionary size is adjusted according to the motion information.
All analyses are implemented at the decoder side and the analysis results are sent back
to the encoder via a feedback channel, yielding a low-complexity encoding (to meet the
equirement of a distributed coding scheme). Simulation results show that the proposed
aDISCOS achieves a superior rate-distortion performance as well as better visual quality,
when compared with the original DISCOS scheme.

Keywords: Compressed sensing, distributed compressed sensing, adaptive sampling,
sparse dictionary