Advanced Materials Research Vols. 718-720

Abstract: This paper introduces the performance metric of DSP parallel processing system and presents a model of coarse-grained speedup of DSP parallel processing structure. Quantitative research is done according to the system performance index and target program features. This study simulates and analyzes different communication protocols and different influences of different degrees of parallelism on the parallel processing structure performances. Optimization direction of parallel processing system is put forward.

Abstract: This paper presents a novel image interpolation method based on level-sets motion (LSM). The proposed method computes the speed field of level-sets adaptively, according to which the contours in images evolve at proper speeds. Thus it can produce images with less jagged edges stably and fast. To suppress blurring artifacts, the shock filter is used to get sharper edges in images. And the new method can interpolate images with arbitrary magnification factors (MFs). Experimental results have verified the effectiveness of the proposed method in terms of both objective and subjective image quality.

Abstract: This paper studied the key technology of the extraction of urban road information using high-resolution QuickBird image. And this paper discussed the road information extraction algorithms, K-mean image clustering and segmentation algorithm, lambda-schedule image merging algorithm and the construction of knowledge database using spectral and shape features, from three angles, image segmentation algorithm, image merging algorithm and specific road information extraction algorithm. Studies showed that, after the introduction of the spectral and texture information, road extraction method reached a higher area and shape consistency, and provide a valuable reference for related research in the field.

Abstract: Along with the development of hyperspectral remote sensing technology, band selection algorithm of hyperspectral image has become the research focus of hyperspectral application. A band selection algorithm based on noise evaluation of hyperspectral image and named as LMLSD is proposed in this paper. All the bands of hyperspectral image are ranked according to the SNR calculated based on local mean and local standard deviation of every band. Simulation results show that the performance of LMLSD is better than classical band selection algorithms of ABS and SDAA. The algorithm of LMLSD has validity and feasibility in practical application.

Abstract: Through positioning subject practical demand, Department of computer and science of Gansu Normal University for Nationalities by means of networking technology, the effective integration teachers of Department of computer and science, explore a new way to the construction of subject resources. This paper introduces the idea, overall framework, strategies and effectiveness of construction of subject resources construction of Gansu Normal University for Nationalities, described the understanding and practice of subject resources constructioin in IOT of Department of computer and science of Gansu Normal University for Nationalities from the technology, method, mechanism, effect of the many perspectives such as the system.

Abstract: Online review can help people getting more information about store or product. The potential customers tend to making decision according to it. However, driven by profit and fame, spammers post spurious reviews to mislead the customers by promoting or demoting target store. Previous studies mainly focused on the text features of the reviews. However, these studies ignore the importance of relationship between store and reviewer. This paper first proposes a novel concept of store robustness which means the degree that store resist the influence of spamming. Then which types of store the spammer prefer to choose to gain larger influence is discussed. The proposed method use store-reviewer relationship combined with deviation degree to calculate the spamicity (degree of spam) of reviews. A subset of highly suspicious reviewers is selected for evaluation by human judges. Experimental results show that the proposed method can find out the harmful store review spammer efficiently.

Abstract: The existence of noises have great interference on image processing, so the elimination of image noise is of great importance. In this paper, based on the digital image processing, the methods of average filter, wiener filter, median filter, two-dimensional wavelet filter, maximum and minimum filter are used to eliminate the salt & pepper noise of image. Then we analysis and compare the results of the five methods to find the best way to eliminate the image noise.

Abstract: GIS is now widely applied in power systems. It might lead to severe consequence when accidents take place, so online monitoring on GIS systems is necessary. Based on function analysis of the needs of GIS intelligent condition monitoring, a modeling method, a communication system and data exchanging interfaces, meeting IEC 61850 intrinsic ideas, are presented. Sharing and interacting strategies for intelligently-monitored GIS condition information are discussed. Focusing on MMS-based server/client communication mode, some information exchanging principles based on MMS messaging, logs and files are clarified. Server-client information exchanging communication programs are designed, and the flow charts of essential functions and client/server are also presented.

Abstract: This article base on FPGA and full HD video conversion chip AD9889B, designed and implemented an HDMI image acquisition and display module suitable for industrial cameras. FPGA configure the AD9889B chip through IIC way, the parallel original HD digital video signals inputted from image acquisition front-end of industrial cameras is encoded into the desired video format with AD9889B. Finally realizes the HD digital video is outputted through HDMI interface.

Abstract: In order to provide virtual Dunhuang panorama browse (walk-through) on the web, we propose a hybrid technique which combines both remote image rendering and image compression transportation technique. In our approach, the server renders a partial panoramic view, which is based on the users viewpoint and last movements or sends image. The server then compress images, and streams the images to the client device, which will progressively build the panoramic representation of the scene. Furthermore, in order to enhance streaming performance and quality of the interaction, we propose to use a prediction of the users movements as well as a rate control mechanism within the virtual mural. In this paper we discuss our scheme for web-based remote rendering and streaming of progressive panoramas. Our results indicate clearly that the proposed solution is able to achieve stable frame rates and throughput in general network environment.