The major purpose of this paper is to establish a Sports E-learning Platform in order to provide athletic related teaching materials, such as physical motions and exercise rules. The platform can integrate the Multime...
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ISBN:
(纸本)9781424467082
The major purpose of this paper is to establish a Sports E-learning Platform in order to provide athletic related teaching materials, such as physical motions and exercise rules. The platform can integrate the Multimedia teaching materials which include video and 2D animation. Multimedia contents of teaching material not only increase the learning efficient but also the interesting of learning, especially in the area of Physical Education. The design concept of our works is based on ADDIE model of ISD (Instruction System Design) theory with the purposes of analysis, design, development, implementation, & evaluation. Via the usage of this physical education E-learning platform, we hope to let players perform efficient self learning for sports skills, indirectly foster mutual help, cooperation, nice norms of law-abiding via the learning of athletic rules, and become skilled at accurate recreation knowledge & first aid expertise. Moreover, coaches can use this system as a teaching facility.
The sparse property of the signal to be processed is very important and directly affects the efficiency of compressive sensing. A signal pre-processing method suitable for compressive sensing is given, which is helpfu...
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The sparse property of the signal to be processed is very important and directly affects the efficiency of compressive sensing. A signal pre-processing method suitable for compressive sensing is given, which is helpful to effective sensing and accurate reconstruction. Under the condition that the sparse characteristic of the signal is unknown, a frequency modulation pattern is introduced to pre-process the signal to increase the sparse proportion of the signal. Then we choose a difference matrix as the reconstruction matrix, the signal could be reconstructed accurately in the process of sparse reconstruction. Theoretical analysis and experimental results show that the proposed pre-processing method for compressive sensing is very effective and efficient.
Peer-to-peer (P2P) overlay networks provide a highly effective and scalable solution to live media streaming systems that require the collective use of massively distributed network resources. A P2P media streaming ar...
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ISBN:
(纸本)9781424453665;9781424453672
Peer-to-peer (P2P) overlay networks provide a highly effective and scalable solution to live media streaming systems that require the collective use of massively distributed network resources. A P2P media streaming architecture is typically built completely or partially upon a tree-structured network topology and the process of tree construction has a significant impact on the overall system performance. We build network cost models and formulate a specific type of topology construction problem, Maximum Average Bandwidth Spanning Tree (MABST), which aims at optimizing the system's average stream rate. We prove that MABST is NP-complete by reducing from Hamiltonian Path problem and propose an efficient heuristic algorithm. The performance superiority of the proposed algorithm is justified by experimental results using a live media streaming system deployed in real networks and is also illustrated by an extensive set of simulations on simulated networks of various sizes in comparison with other methods based on a degree constraint or a greedy strategy.
Losing a packet will cause losing a whole frame in high compression and high payload video communication such as wireless low bit rate video transmission. In this paper, we present a novel technique which can deal wit...
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Losing a packet will cause losing a whole frame in high compression and high payload video communication such as wireless low bit rate video transmission. In this paper, we present a novel technique which can deal with the problem of error concealment for whole frame losses. The proposed technique exploits objects motion information from video by combining gray and color optical flow methods to reconstruct lost images. After recovering main body of the lost frame, the MRF model is applied to deal with the overlap and occlusion caused by objects movements. Results show that the proposed technique provides good subject and object image quality and has a low complexity which make it can be used on real time operation.
We investigate a four-level superradiant laser whose intensity is proportional to N2 and whose linewidth scales as 1/N2. In the absence of spontaneous emissions, we derive the stationary solutions of the atomic full c...
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We investigate a four-level superradiant laser whose intensity is proportional to N2 and whose linewidth scales as 1/N2. In the absence of spontaneous emissions, we derive the stationary solutions of the atomic full cooperativity, analyze their stabilities, and find the corresponding irreducible representation based on group U(4). We also investigate the spectra of the phase and amplitude fluctuations of the fields inside and outside the cavity and find that the amplitude fluctuations of the output fields cannot be squeezed in the low-frequency limit, which is completely different from the three-level superradiant laser system. Finally, we consider the stationary solutions corresponding to the partial cooperativity due to the symmetry breaking of U(4) induced by the atomic spontaneous emissions.
We present a new normal basis multiplication scheme using a multiplexer-based algorithm. In this algorithm, the proposed multiplier processes in parallel and has a multiplexer-based structure that uses MUX and XOR gat...
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We present a new normal basis multiplication scheme using a multiplexer-based algorithm. In this algorithm, the proposed multiplier processes in parallel and has a multiplexer-based structure that uses MUX and XOR gates instead of AND and XOR gates. We show that our multiplier for type-1 and type-2 normal bases saves about 8% and 16%, respectively, in space complexity as compared to existing normal basis multipliers. Finally, the proposed architecture has regular and modular con-figurations and is well suited to VLSI implementations.
With the spread use of the computers, a new crime space and method are presented for criminals. Thus computer evidence plays a key part in criminal cases. Traditional computer evidence searches require that the comput...
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With the spread use of the computers, a new crime space and method are presented for criminals. Thus computer evidence plays a key part in criminal cases. Traditional computer evidence searches require that the computer specialists know what is stored in the given computer. Binary-based information flow tracking which concerns the changes of control flow is an effective way to analyze the behavior of a program. The existing systems ignore the modifications of the data flow, which may be also a malicious behavior. Thus the function recognition is introduced to improve the information flow tracking. Function recognition is a helpful technique recognizing the function body from the software binary to analyze the binary code. And that no false positive and no false negative in our experiments strongly proves that our approach is effective.
This paper presents an instructional game system to support variable dyad learning activities for problem-solving exercises, particularly variable in difficulty level to make learning activities challenging and motiva...
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This paper presents an instructional game system to support variable dyad learning activities for problem-solving exercises, particularly variable in difficulty level to make learning activities challenging and motivating for a wide range of people, or for the same person at different times. Furthermore, the system also allows teachers to adjust difficulty level of learning activities and to author the exercise problems. An instructional game is a highly motivating approach for reinforcing and exercising previously taught skills and concepts. This work uses dyad learning activities to mean synchronous learning activities involving two students who interact through a computernetwork. Variable dyad learning activities are developed by adjustment and combination of different factors, such as exercise problems, competition or collaboration, constraints on solving problems, and game scenarios. This paper describes the system design, adjustable factors, variable dyad learning activities, and a preliminary evaluation of the system.
A new Beowulf Clusters with IBM blade HS22 and DELL PC 755 has been built to perform parallel atomistic MD simulations. Lysozyme hydration was used as a model system to evaluate the system performance with different n...
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A new Beowulf Clusters with IBM blade HS22 and DELL PC 755 has been built to perform parallel atomistic MD simulations. Lysozyme hydration was used as a model system to evaluate the system performance with different numbers of CPUs and nodes with AMBER suite. The efficiency reaches around 70% of the theoretical value. From our simulation, about 771 water molecules are found to be bound on lysozyme surface at 300K within the first hydration shell within first hydration shell.
Doppler imaging allows evaluation of blood flow patterns, direction, and velocity. The color (red, blue, and mosaic) signify the direction of the blood flow. By analyzing this color Doppler, it is possible to detect h...
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ISBN:
(纸本)9781424467754;9781424467761
Doppler imaging allows evaluation of blood flow patterns, direction, and velocity. The color (red, blue, and mosaic) signify the direction of the blood flow. By analyzing this color Doppler, it is possible to detect heart diseases like mitral and aortic stenosis, mitral, tricuspid, and aortic regurgitation, and Left Ventricle (LV) hypertrophy. We present 3 methods to extract low level features namely color histogram mean, standard deviation, skewness, kurtosis, and texture features such as energy, entropy, contrast, homogeneity of the region of interest (ROI) in a color Doppler echocardiographic image. The first method is based on conventional K-Means algorithm to segment the image. A modified fast K-Means implemented using SQL is the second method presented in this paper. Finally, segmentation is achieved through pixel classification approach which is found being the most efficient. The proposed technique decomposes the image into foreground pixels representing color information and background pixels which are grayscale. Thus, we apply morphological operations, Gaussian blur, and threshold to obtain a distinct object for quantitative measurements. Without doing any modifications to the foreground pixels, we compute histogram statistics of the shape and texture features. Hence, with our proposed method both qualitative and quantitative analysis can be done. Our technique is applied on variety of color Doppler patient images and the results show that it is computationally efficient and abnormality detection is satisfactory.
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