Thank you for downloading two dimensional signal and image processing. As you may know, people have look hundreds times for their chosen novels like this two dimensional signal and image processing, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they juggled with some infectious virus inside their computer. two dimensional signal and image processing is available in our book collection an online access to it is set as public so you can download it instantly. Our digital library spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the two dimensional signal and image processing is universally compatible with any devices to read.

Two Dimensional Signal And Image Processing

A survey of document image word spotting techniques

Mobile, pervasive computing environments respond to users’ requirements by providing access to and composition of various services over networked devices. In such an environment, service composition needs to satisfy a request’s goal, and be mobile-aware even throughout service discovery and service execution. A composite service also needs to be adaptable to cope with the environment’s dynamic network topology. Existing composition solutions employ goal-oriented planning to provide flexible composition, and assign service providers at runtime, to avoid composition failure. However, these solutions have limited support for complex service flows and composite service adaptation. This paper proposes a self-organizing, goal-driven service model for task resolution and execution in mobile pervasive environments. In particular, it proposes a decentralized heuristic planning algorithm based on backward-chaining to support flexible service discovery. Further, we introduce an adaptation architecture that allows execution paths to dynamically adapt, which reduces failures, and lessens re-execution effort for failure recovery. Simulation results show the suitability of the proposed mechanism in pervasive computing environments where providers are mobile, and it is uncertain what services are available. Our evaluation additionally reveals the model’s limits with regard to network dynamism and resource constraints.

/pdf/goal-driven-service-composition-in-mobile-and-pervasive-3r6hb9gexf.pdf

Goal-Driven Service Composition in Mobile and Pervasive Computing

Mobile ad hoc network (MANET) is a miscellany of versatile nodes that communicate without any fixed physical framework. MANETs gained popularity due to various notable features like dynamic topology, rapid setup, multihop data transmission, and so on. These prominent features make MANETs suitable for many real-time applications like environmental monitoring, disaster management, and covert and combat operations. Moreover, MANETs can also be integrated with emerging technologies like cloud computing, IoT, and machine learning algorithms to achieve the vision of Industry 4.0. All MANET-based sensitive real-time applications require secure and reliable data transmission that must meet the required QoS. In MANET, achieving secure and energy-efficient data transmission is a challenging task. To accomplish such challenging objectives, it is necessary to design a secure routing protocol that enhances the MANET’s QoS. In this paper, we proposed a trust-based multipath routing protocol called TBSMR to enhance the MANET’s overall performance. The main strength of the proposed protocol is that it considers multiple factors like congestion control, packet loss reduction, malicious node detection, and secure data transmission to intensify the MANET’s QoS. The performance of the proposed protocol is analyzed through the simulation in NS2. Our simulation results justify that the proposed routing protocol exhibits superior performance than the existing approaches.

/pdf/tbsmr-a-trust-based-secure-multipath-routing-protocol-for-394ce0bqeh.pdf

TBSMR: A Trust-Based Secure Multipath Routing Protocol for Enhancing the QoS of the Mobile Ad Hoc Network

The rapid growth of digital libraries, e-governance, and internet based applications has caused an exponential escalation in the volume of ‘Big-data’ particularly due to texts, images, audios and videos that are being both archived and transmitted on a daily basis. In order to make their storage and transfer efficient, different data compression techniques are used in the literature. The ultimate motive behind data compression is to transform a big size data into small size data, which eventually implies less space while archiving, and less time in transferring. However, in order to operate/analyze compressed data, it is usually necessary to decompress it, so as to bring back the data to its original form, which unfortunately warrants an additional computing cost. In this backdrop, if operating upon the compressed data itself can be made possible without going through the stage of decompression, then the advantage that could be accomplished due to compression would escalate. Further due to compression, from the data structure and storage perspectives, the original visibility structure of the data also being lost, it turns into a potential challenge to trace the original information in the compressed representation. This challenge is the motivation behind exploring the idea of direct processing on the compressed data itself in the literature. The proposed survey paper specifically focuses on compressed document images and brings out two original contributions. The first contribution is that it presents a critical study on different image analysis and image compression techniques, and highlights the motivational reasons for pursuing document image analysis in the compressed domain. The second contribution is that it summarizes the different compressed domain techniques in the literature so far based on the type of compression and operations performed by them. Overall, the paper aims to provide a perspective for pursuing further research in the area of document image analysis and pattern recognition directly based on the compressed data.

A review on document image analysis techniques directly in the compressed domain

Query sensitive summarization aims at extracting th e query relevant contents from web documents. Web page segmentation focuses on reducing the run time overhead of the summarization systems by grouping the related contents of a web page into segments. A t query time, query relevant segments of the web pa ge are identified and important sentences from these s egments are extracted to compose the summary. DOM tree structures of the web documents are utilized t o perform the segmentation of the contents. Leaf no des of DOM tress are merged to form segments according to the statistical and linguistic similarity measur e. The proposed system has been evaluated by intrinsic approach making use of user satisfaction index. Th e performance of the system is compared with summarization without using preprocessed segments. Performance of this system is more promising than t he other measures like cosine similarity, jaccard measure which make use of sparse term-frequent vectors, since the most frequent term sets are consider ed to measure the relevance. Relevant segments alone n eed to be processed at run time for summarization which reduces the time complexity of the summarization process.

/pdf/web-document-segmentation-using-frequent-term-sets-for-2ccf3rdng5.pdf

Web document segmentation using frequent term sets for summarization

In the various approaches of web service compositions proposed by the researcher, Aspect Oriented Web Service Composition (AOWSC) is the most formal way of composition. Composition is a set of relevant candidate web service, synchronously tied up with each other, delivered to the requestor at run time based on the service request. In par with aspect orientation, the candidate web services are developed as aspects, dynamically selected at run time based on the service request, composed through a weaving mechanism and thus handle composition. The weaving mechanism is the heart of AOWSC, as it specifies the order in which the candidate web service has to be synchronously presented with respect to each other. The paper also projects this formal approach of aspect oriented web service composition by using Petri Net algebra.

Aspect-Oriented Web Service Composition: A Petri Net Based Approach

Lossy image compression introduces significant loss of picture quality. Many works have been carried out in still image compression techniques, but in most of the techniques quality of the image is not preserved. The quality of the image depends on the features of the image such as edges corners textures etc. In this work, a novel compression technique is proposed with the intent of image quality enhancement using edge information without compromising the compression ratio. Adaptive Wavelet transform is used for both compression and quality enhancement due to its multi resolution characteristics and computing efficiency over a simple wavelet transform. EZW coder is used to encode the wavelet coefficients for enhancing the compression ratio and at the decoder Edge Assisted Wavelet based interpolation (EAWE) is used for enhancing the quality of the image.The experimental results show that the proposed compression system outperforms the existing compression systems in terms of compression ratio and Peak Signal to Noise Ratio. The proposed compression system reduces computing complexity with increased picture quality, so it can be used in remote sensing and mobile applications.

Enhanced quality preserved image compression technique using edge assisted wavelet based interpolation

Educational organizations are able to bridge organizational gaps due to the rapid advances in science and technology. Specifically, e-learning drastically reduces the learning time compared to the traditional classroom setting. The challenges in e-learning are the organization of learning contents, characteristics of the learning individual, technological constraints, and performance evaluation. Moreover, the success of the e-learning environment is greatly influenced by the factors like appropriate recommendations of learning contents, content delivery, performance evaluation, and the maintenance of the psychological level through identification of the learning styles of the learners. The continual process of performance evaluation is commonly attributed by the challenging issues of Ontology Construction and Alignment in order to enhance the semantics of the evaluation documents. In the rest of the chapter, a novel rulebased e-learning management system is discussed as a solution for appropriate recommendations of the learning contents based on the psychological understanding of the learners for learning using fuzzy logic and the subsequent evaluation of the learners using Ontology Construction and Ontology Alignment technique using deontic logic. The experiments have been carried out on evaluating the learning of C programming language using an e-learning framework. Jegatha Deborah Lazarus Anna University, India Baskaran Ramachandran Anna University, India Kannan Arputharaj Anna University, India

A Novel E-Learning Management System for Appropriate Recommendations on the Learning Contents

Wireless sensor networks (WSNs) have attracted quite concentration owing to their extensive potential applications. Traffic congestion, as well as energy lacking, is the major cause for breaking routing performance in WSNs. To resolve these challenges, this paper intends a novel routing strategy known as multipath routing strategy for reducing congestion (MPRC) in WSN. In this strategy, the traffic congestion is monitored by a congestion factor. This multipath routing strategy is used to select the congestion-free path. As a result, achieves decreased network overhead and increased packet delivery ratio. This work is simulated in NS-2 simulator, and the results show that MPRC strategy performs better than the baseline protocol.

Baskaran Ramachandran

Papers

Web document segmentation using frequent term sets for summarization

Aspect-Oriented Web Service Composition: A Petri Net Based Approach

Enhanced quality preserved image compression technique using edge assisted wavelet based interpolation

A Novel E-Learning Management System for Appropriate Recommendations on the Learning Contents

Multipath Routing Strategy for Reducing Congestion in WSNS