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| 1 | Mobile-Edge Computing Framework with Data Compression for Wireless Network in Energy Internet显示文摘Under the situations of energy dilemma, energy Internet has become one of the most important technologies in international academic and industrial areas. However, massive small data from users, which are too scattered and unsuitable for compression, can easily exhaust computational resources and lower random access possibility, thereby reducing system performance. Moreover, electric substations are sensitive to transmission latency of user data, such as controlling information. However, the traditional energy Internet usually could not meet requirements. Integrating mobile-edge computing makes energy Internet convenient for data acquisition,processing, management, and accessing. In this paper, we propose a novel framework for energy Internet to improve random access possibility and reduce transmission latency. This framework utilizes the local area network to collect data from users and makes conducting data compression for energy Internet possible. Simulation results show that this architecture can enhance random access possibility by a large margin and reduce transmission latency without extra energy consumption overhead. | Luning Liu Xin Chen Zhaoming Lu Luhan Wang Xiangming Wen | 2019 | Tsinghua Science and Technology2019，24，3： | 7 |
| 2 | An Optimal Feed Interpolator Based on G^2 Continuous Bézier Curves for High-Speed Machining of Linear Tool Path显示文摘A numerical control (NC) tool path of digital CAD model is widely generated as a set of short line segments in machining. However, there are three shortcomings in the linear tool path, such as discontinuities of tangency and curvature, huge number of line segments, and short lengths of line segments. These disadvantages hinder the development of high speed machining. To smooth the linear tool path and improve machining efficiency of short line segments, this paper presents an optimal feed interpolator based on G^2 continuous Bézier curves for the linear tool path. First, the areas suitable for fitting are screened out based on the geometric characteristics of continuous short segments (CSSs). CSSs in every area are compressed and fitted into a G^2 Continuous Bézier curve by using the least square method. Then a series of cubic Bézier curves are generated. However, the junction between adjacent Bézier curves is only G^0 continuous. By adjusting the control points and inserting Bézier transition curves between adjacent Bézier curves, the G^2 continuous tool path is constructed. The fitting error is estimated by the second-order Taylor formula. Without iteration, the fitting algorithm can be implemented in real-time environment. Second, the optimal feed interpolator considering the comprehensive constraints (such as the chord error constraint, the maximum normal acceleration, servo capacity of each axis, etc.) is proposed. Simulation and experiment are conducted. The results shows that the proposed method can generate smooth path, decrease the amount of segments and reduce machining time for machining of linear tool path. The proposed research provides an effective method for high-speed machining of complex 2-D/3-D profiles described by short line segments. | Yongqiao Jin Sheng Zhao Yuhan Wang | 2019 | Chinese Journal of Mechanical Engineering2019，32，3： | 6 |
| 3 | Wavelet-based data compression for wide-area measurement data of oscillations显示文摘This paper proposes a wavelet-based data compression method to compress the recorded data of oscillations in power systems for wide-area measurement systems. Actual recorded oscillations and simulated oscillations are compressed and reconstructed by the waveletbased data compression method to select the best wavelet functions and decomposition scales according to the criterion of the minimum compression distortion composite index, for a balanced consideration of compression performance and reconstruction accuracy. Based on the selections, the relationship between the oscillation frequency and the corresponding optimal wavelet and scale is discussed, and a piecewise linear model of the base-2 logarithm of the frequency and the order of the wavelet is developed, in which different pieces represent different scales. As a result, the wavelet function and decomposition scale can be selected according to the oscillation frequency. Compared with the wavelet-based data compression method with a fixed wavelet scale for disturbance signals and the real-time data compression method based on exception compression and swing door trending for oscillations, the proposed method can provide high compression ratios and low distortion rates. | Lin CHENG Xinchi JI Fang ZHANG He HUANG Song GAO | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，6： | 3 |
| 4 | Study on the quality evaluation metrics for compressed spaceborne hyperspectral data显示文摘Based on the raw data of spaceborne dispersive and interferometry imaging spectrometer,a set of quality evaluation metrics for compressed hyperspectral data is initially established in this paper.These quality evaluation metrics,which consist of four aspects including compression statistical distortion,sensor performance evaluation,data application performance and image quality,are suited to the comprehensive and systematical analysis of the impact of lossy compression in spaceborne hyperspectral remote sensing data quality.Furthermore,the evaluation results would be helpful to the selection and optimization of satellite data compression scheme. | LI Xiaohui ZHANG Jing LI Chuanrong LIU Yi LI Ziyang ZHU Jiajia ZENG Xiangzhao | 2015 | Instrumentation2015，2，1： | 3 |
| 5 | Chaos Criteria Design Based on Modified Sign Functions with One or Three-Threshold显示文摘The complexity measures of chaotic or periodic signals are perpetual topics of interest to data scientists. This work adheres to the framework of the traditional 0-1 test for chaos and replaces sine and cosine functions by modified sign functions. The compressive mapping rules chosen are one-threshold of three-value or three-threshold of five-value. In new criteria for chaos in forms of the 3s plot and Ks metric compared with 0-1 test results, the periodic state of data features a short beeline instead of a big ring in the pq plot and signs the nearest zero mark, while the chaotic state signs a simple curve instead of a random-walking shape in the pq plot, and shows the nearest one mark. By computing the Lorenz equation evolution under the contrast tests of the Poincare section and Lyapunov index, we visualize a new chaoscriteria design in symbolic dynamics and data compression principles, and our work may lay the foundation for further expressing the chaotic appearance of novel signals deep into future brainets. | WU Senlin LI Yaotian LI Wenshi LI Lei | 2019 | Chinese Journal of Electronics2019，28，2： | 2 |
| 6 | ULF electromagnetic precursors before the 1999 Jiji, Taiwan, earthquake and the comparison with results of simulating experiments显示文摘There are many reports about the abnormal electromagnetic signals observed before great earthquakes. In particular, the signals of electromagnetic anomalies before the Hyogo-Ken Nanbu, Japan, MS=7.2 earthquake on January 17, 1995 (Hayakawa, et al, 1996) and those before the Loma Prieta, USA, MS=7.1 earthquake on October 19, 1989 (Fraser-Smith, et al, 1990) are especially remarkable. However, what the above authors reported are only the phenomena of one or two observatories. In order to confirm this phenomenon, the authors studied the results obtained by nine observatories in the southeast coastal areas of Chinese mainland within a range of 256~858 km to the epicenter of the 1999 Jiji, Taiwan, earthquake using instruments of the same type (the ULF/VLF electromag-netic wave observation system). By summarizing the data for the three months up to the time of earthquake occur-rence, the authors obtained the regional distribution of the signals of electromagnetic anomalies before the earth-quake and their features in the time domain and frequency domain. | QIAN Shu-qing | 2001 | Acta Seismologica Sinica(English Edition)2001，14，3： | 1 |
| 7 | Robust and Efficient Data Transmission over Noisy Communication Channels Using Stacked and Denoising Autoencoders显示文摘We study the effects of quantization and additive white Gaussian noise(AWGN) in transmitting latent representations of images over a noisy communication channel. The latent representations are obtained using autoencoders(AEs). We analyze image reconstruction and classification performance for different channel noise powers, latent vector sizes, and number of quantization bits used for the latent variables as well as AEs’ parameters. The results show that the digital transmission of latent representations using conventional AEs alone is extremely vulnerable to channel noise and quantization effects. We then propose a combination of basic AE and a denoising autoencoder(DAE) to denoise the corrupted latent vectors at the receiver. This approach demonstrates robustness against channel noise and quantization effects and enables a significant improvement in image reconstruction and classification performance particularly in adverse scenarios with high noise powers and significant quantization effects. | Faisal Nadeem Khan Alan Pak Tao Lau | 2019 | China Communications2019，16，8： | 1 |
| 8 | A Fractal Compression Algorithm Based on Collage Distance Estimating and Compensating显示文摘A new fractal image compression scheme based on collage distance is explained, which can provide of the scheme two different compression codes containing their own unique collage distance sets and different types of similar transforms. The analysis and applications of the scheme indicate that it can be adopted as a suitable alternative for balancing between the distortion measure and compression ratio occurring in ordinary fractal compression method. | He Xin Wei Xiaopeng Zhang Jianming Dalian University 116622, China | 2002 | Computer Aided Drafting,Design and Manufacturing2002，12，1： | 0 |
| 9 | DATA COMPRESSION FOR CHINESE CHARACTERS USING TRANSFORM RUNLENGTH CODING显示文摘In the transmission of two-tone images, one-dimensional run-length coding (ODRLC) is one of the most commonly used approaches. T. S. Huang and others have found that the compression ratio of ODRLC can be improved by coding the black run-length (BRL) and the white run-length (WRL) separately. But | 吴佑寿 朱夏宁 丁晓青 | 1989 | Chinese Science Bulletin1989，34，8： | 0 |
| 10 | A real-time algorithm for broadband highdynamic seismic data compression显示文摘Areal-timealgorithmforbroadbandhighdynamicseismicdatacompressionSha-BaiLI1)(李沙白);Qi-YuanLIU2)(刘启元)andLi-RenSHEN2)(沈立人)(Instit... | 李沙白 刘启元 沈立人 | 1994 | Acta Seismologica Sinica(English Edition)1994，7，1： | 0 |
| 11 | ENHANCED MULTISTAGE VECTOR QUANTIZATION FOR SAR RAW DATA COMPRESSION显示文摘Multistage Vector Quantization(MSVQ) can achieve very low encoding and storage complexity in comparison to unstructured vector quantization. However, the conventional MSVQ is suboptimal with respect to the overall performance measure. This paper proposes a new technology to design the decoder codebook, which is different from the encoder codebook to optimise the overall performance. The performance improvement is achieved with no effect on encoding complexity, both storage and time consuming, but a modest increase in storage complexity of decoder. | Zhu Minhui Peng Hailiang Wu Yirong Qi Xuan(Institute of Electronics, Chinese Academy of Sciences, Beijing 100080) | 1996 | Journal of Electronics(China)1996，13，2： | 0 |
| 12 | RAPID CODEBOOK SEARCH ALGORITHM FOR SAR RAW DATA COMPRESSION显示文摘This paper presents a simple but eifective algorithm to speed up the codebook search in a vector quantization scheme of SAR raw data when a minimum square error(MSE) criterion is used. A considerable reduction in the number of operations is achieved. | Qi Xuan Zhu Minhui Peng Hailiang (Institute of Electronics, Chinese Academy of Sciences, Beijing 100080) | 1996 | Journal of Electronics(China)1996，13，2： | 0 |
| 13 | Wavelet Coding of Image Using Quadtree and Vector Entropy Coding显示文摘A new efficient method based on Quadtree Representation and Vector Entropy Coding (QRVEC) for encoding the wavelet transform coefficients of images is presented. In addition, how to flexibly control the coder’ s output bit rate is also investigated. | 郑文星 | 1997 | High Technology Letters1997，3，1： | 0 |
| 14 | IR SPECTRA RETRIEVAL FOR INORGANIC COMPOUNDS AND MINERALS——FEATURE SELECTION AND DATA COMPRESSION显示文摘Spectral feature channels are selected based on the optimization theory and by makinguse of Shannon’s formula with main effective wavenumber regions ranging from 1600 cm-1to 400 cm-1. Ten characteristic codes are sufficient for retrieving a spectrum using the spec-tral data re-compressed in the selected channels. Results of retrieving 50 substances includ-ed in the databank show that the accuracy and the precision of the system are 1.00 and 0.85respectively. Results of retrieving substances not included in the databank show a credibleinterpretative capacity of the system. The average time for retrieving a spectrum is ca.0. 98s. | 姚守拙 魏迈之 | 1989 | Science China Chemistry1989，32，7： | 0 |
| 15 | Discovering Patterns in Symbolic Streams显示文摘The idea of discovering patterns in data seems to be essential for decision making in our social activities. This paper presents a simple algorithm which can be used to detect such patterns in elementary sequences of symbols. It adopts a data compression algorithm to seek for interesting patterns, which is important in understanding the way that the input symbol stream repeats itself In this paper, the algorithm and related data structures are described in detail, and an illustrative example is given. | LI Gang, TONG Fu School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China | 2000 | Advances in Manufacturing2000，，S1： | 0 |
| 16 | On Asynchrony in Multisensor Distributed Detection显示文摘In this paper, the asynchrony problem of distributed detection is analyzed and discussed.Two approaches are proposed and related results are given. It is shown that all fusion rules can beunified in the framework with asynchrony which could be much ciooer to industrial practice. | Sa Huimin & Chen Zhe(Department of Automatic Control, Beijing University of Aeronautics & Astronautics,100083, P. R.China) | 1999 | Journal of Systems Engineering and Electronics1999，10，4： | 0 |
| 17 | Technology of OptimalData Compression显示文摘The method of data compression, using orthogonal transform, is introduced so as to insure the minimal distortion of signal restoration. It, featured with transformation, can compress the data according to the needed precision. The ratio of compressed data is closely related to precision. The results show it to be favorable to different kinds of data compression. | 杨峰 彭苏萍 郑裕 梁春青 | 2000 | International Journal of Mining Science and Technology2000，21，1： | 0 |
| 18 | METHODS OF RADAR DATA COMPRESSION AND TARGET IDENTIFICATION BASED ON BIORTHOGONAL FDWT显示文摘In this paper, by using the biorthogonal quadrature filters, the biorthogonal mul-tiresolution analysis of finite dimension space equipped with inner product and the fast discrete wavelet transform (FDWT) are constructed. The dual transform method is proposed and the radar data storage is reduced by it. The method of choosing the wavelet coefficients, and the methods of correlation and nearest neighbor classification in wavelet domain based on the compressed data, are presented. The experimental results of the classification, using the high resolution range returns from six kinds of aircrafts, show that the methods of transform, compression and recognition are efficient. | Tang Baiyu Shen Haige Ke Youan (Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081) | 1998 | Journal of Electronics(China)1998，15，4： | 0 |
| 19 | Research on XDR Bill Compression Under Big Data Technology显示文摘Communication industry has been walking in front of the big data technology application.Some studies on precision-controlled compression method are carried on in this paper by using the big data technology based on the widely used XDR bill in communication industry.According to different application scenarios,this paper puts forward targeted compression strategy and technological implementation method and verify the high efficiency of associated method in practice.It solves the problem of occupying large storage and low analysis efficiency in areas like the storage of the massive XDR bill,pretreatment,aggregation.It provides valuable references for telecommunication-related researchers and engineering practitioner in respect of using the big data technology. | Bing Zhao Sining Zhang Jun Zheng | 2017 | 国际计算机前沿大会会议论文集2017，，1： | 0 |
| 20 | AN EFFICIENT ECG DATA COMPRESSION METHOD显示文摘-An efficient ECG (Electrocardiogram) data compression algorithm called KPDEC (key point detection and error compensation) is presented in this pa-Per. With tkis KPDEC method only the key points (KPs) of ECG signals are con-sidered to be saved to make the compression more efficient. These KPs can be ex-tracted from ECG samples by calculating the second-ordered central difrerences.Then an error pre-correcting technique is used to let the saved sample having a rea-sonable compensation berore it is stored. This technique is able to reduce the PRD (Percentage Root Mean Square Difference) obviously. In the paper we describe an optimal cording sckeme for getting higer compression rate. Furthermore, an adap-tive filtering tecknique is designed for reconstructed ECG signals to get better fi-delity waves. The algorithm is able to compress ECG data to 168 bits per second with PRD less than 3%. | Chongxun Zheng Xiangguo Yan (Institute of Biomedical Engineering Xi’an Jiaotong University, Xi’an, 710049, China) | 1997 | Chinese Journal of Biomedical Engineering(English Edition)1997，6，4： | 0 |
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