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Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Traditional satellite remote sensing data acquisition, processing, and application models can no longer meet the demands of populism and real-time applications. In order to meet the real-time intelligent service demand for space-based information in the era of Internet of Things, it is of strategic significance to construct a positioning, navigation, timing, remote sensing, communication (PNTRC) integrative space-based information real-time service system that is system-connected, spatio-temporally fused, and service-oriented. This system supports users of all kinds to obtain information, high-precision positioning and timing, and multimedia communication services anytime and anywhere. Wuhan University has deployed the Luojia series of scientific experimental satellites to verify the integrated intelligent remote sensing satellite technology. In order to further promote the construction of the PNTRC system in China, Wuhan University, in cooperation with the Yantai Municipal Government in Shandong Province, has proposed the Oriental Smart Eye intelligent remote sensing satellite constellation plan. This plan aims to achieve innovative service mode transitions in satellite remote sensing, spanning government, industries, and the general public, by utilizing key technologies such as integrated positioning, navigation, timing, remote sensing, communication, satellite constellation network observation, on-orbit processing, and artificial intelligence. It aims to open up the blue ocean market of commercial remote sensing. [ABSTRACT FROM AUTHOR]

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To promote innovation ideas of local apparel companies and brands in Shaanxi province, 11 apparel companies in Shaanxi were investigated to analyze the current problems in style design, color collocation, material selection and promotion of Shaanxi local apparel companies. Given the influence of time characteristics and regional culture on the garment industry, under the background of cultural integration of the Belt and Road, the innovative design was proposed of Shaanxi local garment products in silhouette, color and fabric features. The innovation-driven concept was put forward, with which the multimedia communication mode characterized by interaction, emotion and storytelling is applied to enhance the competitiveness of local clothing brands in Shaanxi. [ABSTRACT FROM AUTHOR]

Identification of plant disease has been becoming a significant issue on the pattern recognition and image processing in intelligent agriculture. However, the conventional single feature cannot clarify the typical characteristics of crop diseases, due to the various parameters of growth environment, including the soil temperature and humidity, pH value, air temperature and humidity, all are closely related to the plant disease. Recently, the vectorization of multi-structured data learning, and the optimal combination of features can provide a new way to effectively improve the accuracy of disease diagnosis. Taking 50 samples and four types of cucumber diseases as examples, including powdery mildew, fusarium wilt, keratoderma, and sclerotinia sclerotiorum, this study aims to establish an optimal combination model for multi structure of plant disease, using integrated learning of in situ environmental parameters via intelligent Internet of Things. The specific collected data can be 4332 of powdery mildew, 4213 of keratoderma, 234 of anthracnose, and 2895 of fusarium wilt. Each kind of disease was corresponding to several descriptions of expert knowledge, which were combined with the number of expert knowledge description for each disease. Based on the perception model of multimedia sensor networks, a multi-path packet transmission method was proposed to ensure the reliability of multi-structure data transmission. The collected multi-source heterogeneous data was grouped and transmitted along multiple paths, in order to reduce data loss and transmission time, while improve the accuracy of data acquisition. The heterogeneous modal information was then mapped on the shared subspace, while the similarity of heterogeneous data was directly measured under a framework. Furthermore, the relationship of unknown heterogeneous data was derived using the integrated index system of multi structure parameters. A learning vector quantization neural network algorithm was used for the multi-fusion category by fusing the structural environmental parameters of crop growth, and unstructured image features. Three types of data features in the input layer were fused to establish semantic association, including the real-time environment Internet of things data, crop disease image data and expert knowledge text data. A method of multi-structure parameter ensemble learning was used to diagnose disease types, where the recognition rate of samples was 79.4% to 93.6%. Specifically, the recognition rate of powdery mildew was relatively high, due to its obvious image features and clear relationship between environment and disease. The identification rate of fusarium wilt was lower than that of other diseases, because of the similar disease characteristics and anthracnose image features, with emphasis on the expert knowledge description of leaf spot. In order to verify the robustness of the proposed algorithm, a convolutional neural network and simple image recognition technology based on deep transfer learning were selected to carry out experimental analysis on the above-mentioned four typical cucumber diseases. The experimental results show that in the convolution neural network image recognition method, the recognition rate was similar to that of the proposed method, but the recognition time of background was higher than that of the method, due possibly to reduce the dimension of disease image data. Normally, the deep transfer learning method requires many image data inputs into the network for learning, whereas, the actual number of disease images cannot be enough to meet the requirements of deep learning. That is why the recognition rate can be reduced due to the insufficient samples. The intelligent diagnosis technology of cucumber diseases was established based on multi-structural parameters ensemble learning, and thereby to serve as a sound basis for the correlation analysis between image features and environment parameters. Combined with the environmental and expert knowledge resources, the subspace mapping was used to deal with the heterogeneity of different modal data, further to ensure the accuracy of identification based on less identification time. [ABSTRACT FROM AUTHOR]

As an effective measure to improve the practical and innovative ability of students majoring in economics and management, the experimental teaching has attracted more and more attention in colleges and universities and achieved amazing achievements. With wide application of multimedia and network technologies in teaching, flipped classroom is generally accepted as a brand-new way of teaching. Different from the traditional way, flipped classroom teaching can achieve higher efficiency by promoting team learning, initiative learning and participatory learning. This paper summarizes the characteristics of comprehensive experimental teaching, analyzes the matching degree of comprehensive experimental and flipped classroom teaching, and demonstrates how to design and implement flipped classroom teaching into comprehensive experimental course with a case study. The results show that flipped classroom teaching is suitable for comprehensive experimental courses in economics and management. [ABSTRACT FROM AUTHOR]

Existing optimization algorithms of wireless multimedia sensor networks (WMSMs) are easy to fall into local optimal solutions. The cuckoo search algorithm， by using a long distance search， can jump out of local optima effectively. This algorithm is based on the 3D perception model. The ratio of coverage is improved by introducing elite mechanism， multi-dimensional optimization and learning-feedback strategy to optimize the angle of rotation and reduce overlap. The improved cuckoo search made the first attempt to optimize the network coverage in MSNs. Finally， the simulation results show that the ratio of coverage is improved by the proposed algorithm. [ABSTRACT FROM AUTHOR]

For considering the role of both online social network and offline social network in the public opinion transmission, the multilayer synchronization network containing media layer, online layer and offline layer was built. And on this basis, public opinion simulation system framework was set up. Based on the research achievements of predecessors for human social network structure, multi-level synchronous network is given in the default setting. Through case simulation, demonstrated the mutual influence between online and offline networks and compared the different effect of the number of witness in the self-media communications and multimedia communications in the role of public opinion propagation. In the end, discussed the compatibility and scalability of the multilayer synchronous network model and put forward the improvement and extension direction. [ABSTRACT FROM AUTHOR]

To meet the security demand of audio information, a generic method of recognizing specific type audio stream based on MFCC and AdaBoost is proposed in this paper, which can detect and locate the specific audio fragment from the audio stream accurately. The generality and differences between subcategories of the audio stream was analyzed to achieve the generic recognition. Multi-type gunshot was considered as the specific type of audio stream. The generic template was obtained by extracting the common features and reducing the different features of the gunshot audio, which could support the accurate identification of multiple sub-classes. The experiments show that the recognition accuracy of the proposed method is 87.6% and the recall rate reaches 91.8%. [ABSTRACT FROM AUTHOR]

An objective method for evaluating the quality of streaming audio called perceptual evaluation of streaming audio quality(PESAQ) was presented. PESAQ firstly removed the jitters in the streaming audio by an alignment algorithm. Secondly, the degradation between reference audio and the aligned streaming audio was measured by perceptual evaluation of audio quality (PEAQ), and the result was called objective difference grade (ODG). Thirdly, the degradation caused by jitters were measured by the dynamic time warping(DTW) minimum distance, and the result was called DTW-ODG. Finally, the quality of the streaming audio was derived by summing ODG and DTW-ODG. The experiment results prove that PESAQ provides closer results to the subjective results than PEAQ for streaming audio quality evaluation. [ABSTRACT FROM AUTHOR]

To satisfy the increasing requirement of high data rate multimedia communications, and realize smaller and cheaper terminals using less power, the impulse radio ultra-wideband (IR-UWB) technique attracted more attentions in recent years. The choice of transmitted pulse waveform is a key factor that affects the performance of IR-UWB system. This paper first gives five requirements to the pulses of IR-UWB system so that the performance of the desired pulse can be evaluated. Then some classical pulse design methods and a novel orthogonal expansion based orthogonal pulse design method are introduced, and orthogonal Meyer wavelets are used as an example to show the procedure of the orthogonal expansion based method. Finally, the fulfillment of the above methods to those requirements is analyzed and the computational complexity of those methods is also obtained. Results show that the orthogonal expansion based method fulfills all the five requirements to the pulses with adequate cost of hardware complexity. [ABSTRACT FROM AUTHOR]

To improve the performance of radio admission control, the architecture of uplink access control based QoS guarantee is promoted to adapt the unique characteristics of services in WCDMA systems. It assigns the policy based on the classification of services and the QoS level, and then a new algorithm for access named Priority Code based DiftServ (PCD) algorithm is proposed. The signal flow of real/non-real time services is designed, and the new algorithm is simulated and contrasted with the foregone admission control algorithm. It is indicated that the proposed algorithm can solve the problem of uplink access control effectively, and it exhibits better operation throughput as well as time-delay performance compared with random access method, which improve the real-time service. [ABSTRACT FROM AUTHOR]

Within multimedia environment, there are two problems on Quality-of-Service (QoS) of routing in mobile ad hoc networks. One is routing maintaining issue, and the other is that congestion will take place in QoS routing as traffic changing with applications arising. This paper proposes a multi-path adaptive dynamic resource reservation routing protocol (MDRSVP) for the two problems. It employs a multi-path routing topology with serial and parallel routing structure to solve failure routing and dynamic traffic. Firstly, MDRSVP can start a new serial routing to continue transmitting data as original primary routing fails. This approach does not interrupt a routing from source node to destination node during transmission. Secondly, MDRSVP reduces QoS bandwidth for each parallel routing, but the total of bandwidth in all parallel routings is QoS bandwidth required by application, so as to decrease the congestion in a single QoS routing and increase probability of other paths utilized. In addition, MDRSVP allocates flow to a few applications through calculating the bottle-neck bandwidth of upstream and downstream which adapts dynamic traffic in QoS routing as the bandwidth of MDRSVP routing. Simulation shows that MDRSVP can increase tolerance of QoS routing, decrease congestion of routing, and increase scalability of QoS network. [ABSTRACT FROM AUTHOR]