This paper proposes new software-based techniques for speeding and reducing the complexity of the deblocking filter used in the state-of-the-art H.264 international video coding standard to improve the visual quality ...
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This paper proposes new software-based techniques for speeding and reducing the complexity of the deblocking filter used in the state-of-the-art H.264 international video coding standard to improve the visual quality of the decoded video frames. The proposed techniques are classified as standard-compliant and standard-noncompliant techniques. The standard-compliant techniques optimize the standard filter through optimizing the boundary strength calculation and group filtering of macroblocks. The standard-noncompliant techniques predict the new boundary strength and edge detection conditions from previous values. Experimental results on both an embedded platform and a desktop PC show significant increment in performance improvement that reaches 47% for the standard-compliant techniques and 80% for the standard-noncompliant techniques. They also demonstrate that for standard-noncompliant techniques the quality degradation computed using the Peak Signal to Noise Ratio is insignificant.
This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (...
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This paper presents an experimental early breast cancer detection system in terms of heterogeneous breast phantom. The system consists of commercial Ultrawide-Band (UWB) transceivers and our developed Neural Network (NN) based Pattern Recognition (PR) software for imaging. A simple way to construct cancer- tissue and heterogeneous breast phantom using available low cost materials and their mixtures is also proposed here. The materials are: (i) A mixture of petroleum jelly, soy oil, wheat flour and water as heterogeneous tissue; (ii) A particular glass as skin; and (iii) A specific mixture of water and wheat flour as cancer- tissue. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. To experimentally detect cancer, the UWB signals are transmitted from one side of the breast phantom and received from opposite side diagonally. By using discrete cosine transform (DCT) of the received signals, a Neural Network (NN) is trained, tested and interfaced with the UWB transceiver to form the complete system. The achieved detection rate of cancer cell's existence, size and location are approximately 100%, 93.1% and 93.3% respectively.
In this paper, we introduce a web farm-inspired framework for dynamic and concurrent computational processing in the cloud. We compare and contrast this with the Hadoopcloud framework, discuss the main problems associ...
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Mobile Ad Hoc Network (MANET) has become significantly important to support self-organizing roaming computing with changing links to neighboring hosts. The topology is changed so rapidly, finding a routing path is a c...
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Mobile Ad Hoc Network (MANET) has become significantly important to support self-organizing roaming computing with changing links to neighboring hosts. The topology is changed so rapidly, finding a routing path is a challenge in reactive protocol methodology. Securing ad hoc networks is infamously challenging, notably due to the lack of an online infrastructure. MANET poses a number of security challenges due to changeable topology, wireless shared medium, diverse resources and inflexible resource constraints etc. In this paper, we present an elaborate view of issues of MANET with emphasis on security challenges in reactive protocol with different dimensions like secure routing, secured key management and trust management through reputation in order to detect intrusion and protect.
Service-oriented architecture and cloud computing have become the prevalent computing paradigm. In this paradigm, computing resources can be accessed like other utility services available in today's society. In th...
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ISBN:
(纸本)9780769543499
Service-oriented architecture and cloud computing have become the prevalent computing paradigm. In this paradigm, computing resources can be accessed like other utility services available in today's society. In the meantime, robotics applications are joining the trend. More and more robot applications are shifting from manufacture to non-manufacture and service industries. However, for the on-demand supply of the large-scale heterogeneous robots, It is still a problem have not yet been studied, including the fundamental management and efficiency issues in using of these resources. In this paper, we design a framework of "Robot Cloud Center" (RCC) following the general cloud computing paradigm to address the current limitations in capacity and versatility of robotic applications. In this framework, a robot can be provided as a service just like a public utility service so that everyone can access the powerful robotic services easily, efficiently, and cheaply. Based on a given scenario, a robot scheduling algorithm in RCC is proposed to take advantage of the heterogeneous robot resources to meet the end user's requirement with the minimum cost.
This Special Session is going to present some of the activities carried out by the Excellence Network on e-learning that is being funded in the Region of Madrid, called eMadrid. They are related to the application of ...
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This Special Session is going to present some of the activities carried out by the Excellence Network on e-learning that is being funded in the Region of Madrid, called eMadrid. They are related to the application of open source principles in the educational context and in opening up the alternatives to the learner.
Hazard and Operability (HAZOP) Analysis and Failure Mode and Effect Analysis (FMEA) are among the most widely used safety analysis procedures in the development of safety-critical and embedded systems. These analyses ...
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Hazard and Operability (HAZOP) Analysis and Failure Mode and Effect Analysis (FMEA) are among the most widely used safety analysis procedures in the development of safety-critical and embedded systems. These analyses are generally perceived as complex and time-consuming, hindering an effective reuse of previous results or experiences. In this paper we present a conceptual semantic case-based framework for safety analysis, which facilitates the reuse of previous HAZOP and FMEA experiences in order to reduce the time and effort associated with these analyses. We present the core technologies of the conceptual framework and evaluated a prototype of the framework, KROSA, in an experiment with domain experts at ABB Norway. Initial results confirm the viability of the conceptual framework for industrial application.
The notion of incremental stability was proposed by several researchers as a strong property of dynamical and control systems. Incremental stability describes the convergence of trajectories with respect to themselves...
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ISBN:
(纸本)9781612848006;9781612848013
The notion of incremental stability was proposed by several researchers as a strong property of dynamical and control systems. Incremental stability describes the convergence of trajectories with respect to themselves, rather than with respect to an equilibrium point or a particular trajectory. Similarly to stability, Lyapunov functions play an important role in the study of incremental stability. In this paper, we propose new notions of incremental Lyapunov functions which are coordinate independent and provide the description of incremental stability in terms of the proposed Lyapunov functions. Moreover, we develop a backstepping design approach providing a recursive way of constructing controllers, enforcing incremental stability, as well as incremental Lyapunov functions. The effectiveness of the proposed method is illustrated by synthesizing a controller rendering a single-machine infinitebus electrical power system incrementally stable.
To reduce the energy consumption and maximize the lifetime of the wireless sensor network (WSN), different techniques are developed to reduce the communication over WSN. However, it is also critical to discuss the ene...
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To reduce the energy consumption and maximize the lifetime of the wireless sensor network (WSN), different techniques are developed to reduce the communication over WSN. However, it is also critical to discuss the energy cost problems in computing and maintaining the information of aggregate queries. Currently, some in-network temporal data suppression techniques are developed for more efficiently processing data aggregation queries over WSN. With those techniques, a data source node which sends data only forwards newly collected data with its value changing beyond predefined constants, ± ε to a data aggregate node which receives data. Otherwise, an aggregate node can infer the absent data report of a source node from the data history of the same source node. In order to further reduce the data communication, hence the energy consumption of the In-network temporal data suppression techniques, in this paper, a technique which makes use the order relationship of compound sensor data is proposed to compress data size during the In-network prediction. An empirical study is carried out to show the performance gains of the proposed techniques optimized by order compression comparing to the previous In-network prediction technique.
Lack of hearing ability hinders deaf children from mastering grammar in language studies. Unfortunately, such software targeting Malay language is limited. This paper attempts to generate new approach in handling such...
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Lack of hearing ability hinders deaf children from mastering grammar in language studies. Unfortunately, such software targeting Malay language is limited. This paper attempts to generate new approach in handling such software. These include detection of defects when switching into local languages, date format and accommodating the local laws. The acceptance of international software for local use goes beyond just these aspects. For this purpose, software that supports the multi-languages is evaluated. The main research question of this paper: The lack of cultural dimensions in localisation testing of assistive technology decreases the effectiveness of localisation testing of the localised software. On the account of cultural dimensions, Hofstede's Cultural Dimensions will be experimented to study which cultural dimensions are most suited for such software. From our empirical results, the failure rate of the testing is higher compared to incorporating culture dimensions.
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