定位在自信式接受的历史逻辑上

定位在自信式接受的历史逻辑上《辽金诗史》，张晶著。３７万字。东北师范大学１９９４年１２月出版。责任编辑：雷恩选。《辽金诗史》一书自觉运用文化社会学方法来透视特定文学史现象，获得了相应的成功。作者在《引论》中开宗明义：“我们感觉到辽金诗史的整体性研究也...

嵌入式短信通知系统的设计

探讨了嵌入式短信通知系统的构成与程序设计技术,在Delphi中综合运用COM、多线程和串口通信等技术设计了一个嵌入式短信通知系统的实例。解决了串口类的封装、Outlook对象模型引用、多线程应用和中文PDU串的编码发送。

基于互动的巢湖话传信构式“你讲”研究

巢湖话的“你讲”在言谈信息超常规性语境下,用于应答句的句首分别表示“认同”“认同兼意外”和“意外”三种功能。听说双方对言谈信息超常规性的评价是否具有“共识性”及对超常规信息是否有“已知性”是形成三种功能用法的原因。句首“你讲”是半截话形式在转喻机制作用下形成的传信话语构式。同时,表“意外”的句首“你讲”可用于句末,具有向意外范畴标记发展的趋势。这一语义演变也大致经历了“言说动词-引语标记-意外范畴标记”的虚化过程,这与汉语方言中其他言说动词发展为意外范畴标记的路径相比,既有共性又有个性。

基于GSM模块开发嵌入式短信应用系统的设计方法

提出了一种通用的,基于GSM模块的嵌入式短信应用系统的开发方法。包括系统的硬件设计框架,通信规约制定方法,软件流程框架等。还介绍了和短信服务相关的AT指令。

基于DCT的嵌入式图像编码

基于小波零树编码的相似结构,给出了一种均值去除的嵌入式DCT(MSEDCT)编码方法。该方法将子块DCT后的系数按一定方式重新组合,并针对重组后图像DC系数块存在的大量冗余信息,运用简单的均值去除方法进一步降低冗余信息。在此基础上,运用小波零树量化器及算术熵编码器实现对图像的有效压缩。实验结果表明,该方法在获得较高压缩比的同时,呈现出较好的图像质量, 并具有比特率可分级特性,适合于无线网络或Internet上图像的累进传输或鲁棒传输。

Analysis on pulse features of coronary heart disease patients with or without a history of ischemic stroke

Objective To evaluate the capability of wrist pulse analysis in distinguishing three physiolog-ical and pathological conditions:healthy individuals,coronary heart disease(CHD)patients without a history of ischemic stroke,and CHD patients with a history of ischemic stroke.Methods Study participants were recruited from Shuguang East Hospital,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,and Shanghai Municipal Hospital of Traditional Chinese Medicine,affiliated with Shanghai University of Traditional Chinese Medicine,from April 15 to September 15,2021.They were categorized into three groups:healthy controls(Group 1),CHD patients without a history of ischemic stroke(Group 2),and CHD patients with a history of ischemic stroke(Group 3).The wrist pulse signals of the study participants were non-invasively collected using a pulse diagnosis instrument.The linear time-domain features and nonlinear time-series multiscale entropy(MSE)features of the pulse signals were extracted using time-domain analysis and the MSE methods,which were subsequently compared between groups.Based on these extracted features,a recognition model was developed using a random forest(RF)algorithm.The classification performance of the models was evaluated using metrics,including accuracy,precision,recall,and F1-score derived from confusion matrix as well as the area under the receiver operating characteristics(ROC)curve(AUC).Results A total of 189 participants were enrolled,with 63 in Group 1,61 in Group 2,and 65 in Group 3.Compared with Group 1,Group 2 showed significant increases in pulse features H2/H1,H3/H1,W1,W2,and W2/T,and decreased in MSE_(1)-MSE7(P<0.05),while Group 3 showed significant increases in pulse features T5/T4,T,H1/T1,W1,W2,AS,and Ad,and de-creased in MSE_(1)-MSE_(20)(P<0.05).Compared with Group 2,Group 3 demonstrated notable increases in H1/T1 and As(P<0.05).The RF model achieved precision of 80.00%,61.54%,and 61.54%,recall of 74.29%,60.00%,and 68.97%,F1-scores of 70.04%,60.76%,and 65.04%,and AUC values of 0.92,0.74,and 0.81 for Groups 1,2,and 3,respectively.The overall accuracy was 67.69%,with micro-average AUC of 0.83 and macro-average AUC of 0.82.Conclusion Differences in pulse features reflect variations in arterial compliance,peripheral resistance,cardiac afterload,and pulse signal complexity among healthy individuals,CHD patients without a history of ischemic stroke,and those with such a history.The developed pulse-based recognition model holds the potential in distinguishing between these three groups,offering a novel diagnostic reference for clinical practice.

Real-Time Information System of Power Plant Based on B/S Computing Mode

This paper introduces the system structure and work principle of the upgraded real time information system in Wangting Power Plant, and then expounds the realization way and function features of this system on B/S computing mode. The results of field application show the new system has good capability, reliability and expandability.

DIMENSIONALITY REDUCTION BASED ON SVM AND LDA,AND ITS APPLICATION TO CLASSIFICATION TECHNIQUE

Some dimensionality reduction （DR） approaches based on support vector machine （SVM） are proposed. But the acquirement of the projection matrix in these approaches only considers the between-class margin based on SVM while ignoring the within-class information in data. This paper presents a new DR approach, call- ed the dimensionality reduction based on SVM and LDA （DRSL）. DRSL considers the between-class margins from SVM and LDA, and the within-class compactness from LDA to obtain the projection matrix. As a result, DRSL can realize the combination of the between-class and within-class information and fit the between-class and within-class structures in data. Hence, the obtained projection matrix increases the generalization ability of subsequent classification techniques. Experiments applied to classification techniques show the effectiveness of the proposed method.

Analysis of handoff in distributed mobile communications system based on remote antenna unit selection

A remote antenna unit （RAU） selection model is presented, and two kinds of handoffs, intra-cell handoff （HO） and inter-cell HO, are defined in distributed mobile communications systems （DAS）. After that, an inter-cell HO model is proposed, in which the average power of the active set （AS） is used to predict the position of the mobile station （MS）. The total power of the AS and the handoff set （HOS） are utilized to determine whether an inter-cell HO is necessary. Furthermore, the relationship between HO parameters and performance metrics is studied in detail based on RAU selection. Simulation results show that both the intra-cell HO and the inter-cell HO can achieve oerfect performance by aoprooriate settings of HO parameters.

DISCRIMINATIVE REGULARIZATION:A NEW CLASSIFIER LEARNING METHOD

A novel regularization method -- discriminative regularization （DR）is presented. The method provides a general way to incorporate the prior knowledge for the classification. By introducing the prior information into the regularization term, DR is used to minimize the empirical loss between the desired and actual outputs, as well as maximize the inter-class separability and minimize the intra-class compactness in the output space simultane- ously. Furthermore, by embedding equality constraints in the formulation, the solution of DR can solve a set of linear equations. Classification experiments show the superiority of the proposed DR.

Shielding Effectiveness of Rural Concealed Communication Cable of Asymmetric/Symmetric Slots with Different Shapes

With the rural concealed communication cable as the study object, the shielding effectiveness of different slot shapes was analyzed by using LBEM （linear boundary element method）. The engineering example results showed that for twocore shielded cable, the coupling capacitance of trapezoid slots （asymmetric and symmetric） changed the most, followed by rectangular slots （asymmetric and symmetric）, and the changes of wedge slots were the smallest, but the change tenden- cies were consistent. In addition, with the increase of slot width of different slots, the coupling capacitance of tow-cored shielded cable showed small change.

A Comparative Study of Agricultural Informatization for China and Beyond

[Objective] The aim was to discuss the classification of agricultural informatization in some developed countries, and conclude the revelation to Chinese agricultural informatization. [Method] The research was made by comparison, according to the development impetus. [Result] The results show that foreign agricultural informatization is mainly divided into three categories： the first category is the government leading; the second category is the industry self-help; the third category is typical demonstration. Since the reform and opening, Chinese agricultural informatization has made considerable achievements. [Conclusion] The agricultural informatization is significant to promote the update of the traditional agriculture, and it is also essential to Chinese agricultural sustainability.

Spatial channel pairing-based maximum ratio combining algorithm for cooperative relay networks

To improve the reliable performance of information transmission in cooperative relay networks, the scheme of the max-rate spatial channel pairing （SCP） based on maximum ratio combining （MRC） is proposed. The scheme includes three steps： channel phase cancellation, MRC, and SCP. Eventually, the solution of the scheme is modeled as convex optimization. The objective function of the optimization problem is to maximize the transmission rate and the optimization variable is the strategy of pairing between the uplink spatial sub-channels of each user and the corresponding downlink spatial ones. The theorem of the arrangement inequalities is adopted to obtain the approximate closed-form solution of the optimal pairing for this convex optimization. Simulation results demonstrate that compared to the existing distributed space-time block coding and coherent combined schemes without SCP, the proposed max-rate SCP plus MRC algorithm achieves appreciable improvements in symbol error rate in medium and high signal-to-noise ratio regimes. The achievable performance gain is due to the use of maxrate SCP.

PDA线务通的设计与实现

PDA线务通是一种融合了PDA技术、短信技术、电信业务技术和嵌入式技术于一体的新型信息终端 ,它通过与有线电话网 (PSTN)的连接来实现语音通话、文本数据收发等各种功能。本文给出该系统设计方案和实现方法。

Coding Scheme for Ka-Band Fixed Satellite Communication System

The performance analysis and simulation of coding schemes based on the modeling Ka band fixed satellite channel have been presented. The results indicate that concatenated codes with large inner interleaving depth have good performance and high spectrum efficiency. The studies also show that simple block interleaving is very effective in combating the slow frequency nonselective fading of Ka band.

APPLICATION OF IMPROVED EMD IN VIBRATION SIGNAL FEATURE EXTRACTION OF VEHICLE

In order to truly obtain the feature extraction of vibration signals under the strong background noise, the analysis and improvement of empirical mode decomposition （EMD） is carried on. After that, the improved EMD is applied to the feature extraction of vehicle vibration signals. First, the multi-autocorrelation method is adopted in each input signal,so the noise is reduced effectively. Then, EMD is used to deal with these signals,and the intrinsic mode functions （IMFs） are obtained. Finally, for obtaining the feature information of these signals, the Hilbert transformation and the spectrum analysis are performed in some IMFs. Theoretical analysis and ex- periment verify the effectiveness of the method, which are valuable reference for the same engineering problems.

A Survey on Information-Centric Networking: Rationales, Designs and Debates

The basic function of the Internet is to delivery data(what) to serve the needs of all applications. IP names the attachment points(where) to facilitate ubiquitous interconnectivity as the current way to deliver data. The fundamental mismatch between data delivery and naming attachment points leads to a lot of challenges, e.g., mapping from data name to IP address, handling dynamics of underlying topology, scaling up the data distribution, and securing communication, etc. Informationcentric networking(ICN) is proposed to shift the focus of communication paradigm from where to what, by making the named data the first-class citizen in the network, The basic consensus of ICN is to name the data independent from its container(space dimension) and session(time dimension), which breaks the limitation of point-to-point IP semantic. It scales up data distribution by utilizing available resources, and facilitates communication to fit diverse connectivity and heterogeneous networks. However, there are only a few consensuses on the detailed design of ICN, and quite a few different ICN architectures are proposed. This paper reveals the rationales of ICN from the perspective of the Internet evolution, surveys different design choices, and discusses on two debatable topics in ICN, i.e.,self-certifying versus hierarchical names, and edge versus pervasive caching. We hope this survey helps clarify some mis-understandings on ICN and achieve more consensuses.

Diagnostic efficacy of gadoxetic acid-enhanced MRI for hepatocellular carcinoma and dysplastic nodule

AIM:To evaluate the relationship between the signal intensity of hepatobiliary phase images on gadoxetic acid-enhanced magnetic resonance imaging(MRI)and histological grade.METHODS:Fifty-nine patients with 82 hepatocellular lesions were evaluated retrospectively.Hepatobiliary phase images on gadoxetic acid-enhanced MRI were classified into 3 groups:low,iso or high.Angiographyassisted computed tomography(CT)findings were also classified into 3 groups:CT during arterial portography,and CT hepatic arteriography:A:iso,iso or low;B:slightly low,iso or low;;and C:low,high.We correlated angiography-assisted CT,hepatobiliary phase findings during gadoxetic acid-enhanced MRI and histological grades.Furthermore,correlations between MRI findings and histological grade for each hemodynamic pattern were performed.Correlations among radiologicaland pathological findings were statistically evaluated using the chi-square test and Fisher's exact test.RESULTS:There was a significant correlation between histological grade and hemodynamic pattern(P<0.05).There was a significant correlation between histological grade and signal intensity in the hepatobiliary phase(P<0.05)in group A lesions.There was no significant correlation between histological grade and signal intensity in the hepatobiliary phase in group B or C lesions(P>0.05).CONCLUSION:Signal intensity in the hepatobiliary phase correlated with histological grade in the lesions that maintained portal blood flow,but did not correlate in lesions that showed decreased or defective portal blood flow.

Polynomial rooting based frequency offset estimation for MIMO OFDM systems

Based on the frequency domain training sequences, the polynomial-based carrier frequency offset （CFO） estimation in multiple-input multiple-output （ MIMO ） orthogonal frequency division multiplexing （ OFDM ） systems is extensively investigated. By designing the training sequences to meet certain conditions and exploiting the Hermitian and real symmetric properties of the corresponding matrices, it is found that the roots of the polynomials corresponding to the cost functions are pairwise and that both meger CFO and fractional CFO can be estimated by the direct polynomial rooting approach. By analyzing the polynomials corresponding to the cost functions and their derivatives, it is shown that they have a common polynomial factor and the former can be expressed in a quadratic form of the common polynomial factor. Analytical results further reveal that the derivative polynomial rooting approach is equivalent to the direct one in estimation at the same signal-to-noise ratio（SNR） value and that the latter is superior to the former in complexity. Simulation results agree well with analytical results.