Analysis on Superior Features and Development Value of Water Tourist Resource in Jiangsu Province of China

In view of the fact that water resource had been taken as the focus of tourism development in Jiangsu Province, the paper had analyzed superior features of water tourist resource in Jiangsu Province, and summarized geographic features and plentiful water resources in Jiangsu. It emphasized that water resource was large in amount and river flew through most cities; that water resource was widely distributed and national AAAAA and AAAA scenic areas (spots) with water resource spread all over the province; that water resource was diversified in types and it could be divided into reaches, natural lakes and pools, springs, waterfalls, river mouths and lake surfaces; that water tourist resource was high in taste, strong in function and high in overall quality; and that water resource played a distinct role in landscape structure, which could not only constitute the main feature in isolation, but also lend people the sense of beauty through multiple landscaping factors. Based on the comprehensive evaluation on superior features of water resource in Jiangsu Province, it had proposed practical value for water tourism development, which was providing reference for scientific tourism planning, offering tourists abundant tourist products, shaping tourism brand image with distinct personality, creating a new growth pole and enhancing the protection of water resource.

Determining the feature values of parameters indicating the critical states of molten metal bridge in short circuit transfer

Short circuit transfer involves bridging between the consumable electrode and the weld pool, associated with variations of electrical parameters which characterize the change of molten metal bridge state and are very important for the control of .spatter. In this paper, electrical process parameters and short circuit transfer images were simultaneously recorded with a LabView-based synchronous sensing and visualizing system. The arc^bridge resistance and derivatives of welding current, arc voltage and arc resistance at various instants were calculated by means of offline analysis of the welding current, arc voltage and droplet images. Parameters and their feature values indicating the onset of short circuit and the oncoming necking-down of molten metal bridge were determined. Using the calculated feature values, bridge-state-feedback control for .short circuit transfer was realized with a spatter rate less than 0. 25%.

Research on the Distributional Features of and Interrelationships Between the Dissolved Oxygen, Salinity, pH Value and Nutrient Salts in the Honghai Bay Waters

In this paper, the environmental factors are surveyed of the mariculture waters of the Honghai Bay from the late spring to the early summer (June) in 1998. The distributional features and variation laws of dissolved oxygen, salinity, pH value and nutrient salts in the sea water are expounded. Also discussed are their relationships between each other. The results show that the contents of dissolved oxygen and pH value in the sea water increase with the increasing temperature from north (except for No.15~17 stations) to south (expect for No.6 station). At the same time it is affirmed that photosynthesis is the major cause of the high contents of dissolved oxygen and pH value. And the nutrient salt shows a negative correlation with salinity. The total content of phytoplankton obviously increased with the reduction of nutrient salts from north to south.

The Feature Value of Sturm-Liouville

This article discuss on the existence condition and of Sturm-Liouville feature value by analyzing its existence, asymptotic distribution and locus formula in special instance.

Missing Value Imputation Model Based on Adversarial Autoencoder Using Spatiotemporal Feature Extraction

Recently,the importance of data analysis has increased significantly due to the rapid data increase.In particular,vehicle communication data,considered a significant challenge in Intelligent Transportation Systems(ITS),has spatiotemporal characteristics and many missing values.High missing values in data lead to the decreased predictive performance of models.Existing missing value imputation models ignore the topology of transportation net-works due to the structural connection of road networks,although physical distances are close in spatiotemporal image data.Additionally,the learning process of missing value imputation models requires complete data,but there are limitations in securing complete vehicle communication data.This study proposes a missing value imputation model based on adversarial autoencoder using spatiotemporal feature extraction to address these issues.The proposed method replaces missing values by reflecting spatiotemporal characteristics of transportation data using temporal convolution and spatial convolution.Experimental results show that the proposed model has the lowest error rate of 5.92%,demonstrating excellent predictive accuracy.Through this,it is possible to solve the data sparsity problem and improve traffic safety by showing superior predictive performance.

The Effects of Job Security, Features, Personal Values, and Recognition on Organizational Involvement

As extrinsic rewards become very limited under organizational retrenchments, organizations should rely heavily on other types of rewards, such as intrinsic rewards, to improve the performance of those employees who have been overwhelmed with a perception of job insecurity. This paper examines the impact of such perception, along with many other positive influencers such as enhancement in job features, recognition, and the personal values of those employees on the organizational involvement. The data analyzed were based on a sample of 34 employee respondents from a project based engineering and service company （identified as ABC Company in this paper） operating in the Middle East. The adopted research approach is basically a quantitative approach. The correlation and regression analysis tools have been used to explore this relationship. The results of this study suggest a generally unnoticed and disregarded resource that has the prime effect on improving and enhancing the organizational involvement, which is the recognition those employees receive from the management. This research suggests that recognition, as the top influencer, has a strong impact on organizational involvement/psychological attachment for the employees. The other factors that have proved to have the second degree influence on organizational involvement are enhancement in job features, increase in the job security level, and personal values.

Intertextile Beijing Features More Informative programme of seminars and trend forums add value to fair

Intertextile Beijing Apparel Fabrics,will be held from 29-31 March 2009 at the China International Exhibition Centre,will showcase the latest textiles from around the world on 48,000 sqm of exhibition space.The event has confirmed 1100 exhibitors from 14 countries and regions including

SVD-TLS extending Prony algorithm for extracting UWB radar target feature

A new method, SVD-TLS extending Prony algorithm, is introduced for extracting UWB radar target features. The method is a modified classical Prony method based on singular value decomposition and total least squares that can improve robust for spectrum estimation. Simulation results show that poles and residuum of target echo can be extracted effectively using this method, and at the same time, random noises can be restrained to some degree. It is applicable for target feature extraction such as UWB radar or other high resolution range radars.

Person-independent expression recognition based on person-similarity weighted expression feature

A new method to extract person-independent expression feature based on higher-order singular value decomposition （HOSVD） is proposed for facial expression recognition. Based on the assumption that similar persons have similar facial expression appearance and shape, the person-similarity weighted expression feature is proposed to estimate the expression feature of test persons. As a result, the estimated expression feature can reduce the influence of individuals caused by insufficient training data, and hence become less person-dependent. The proposed method is tested on Cohn-Kanade facial expression database and Japanese female facial expression （JAFFE） database. Person-independent experimental results show the superiority of the proposed method over the existing methods.

Feasibility Study of the GST‑SVD in Extracting the Fault Feature of Rolling Bearing under Variable Conditions

Feature information extraction is one of the key steps in prognostics and health management of rotating machinery.In the present study,an investigation about the feasibility of a methodology based on generalized S transform(GST)and singular value decomposition(SVD)methods for feature extraction in rolling bearing,due to local damage under variable conditions,is conducted.The technique adopts the GST method,following the time-frequency analysis,to transform a raw fault signal of the rolling bearing into a two-dimensional complex matrix.And then,the SVD method is performed to decompose the matrix to obtain the feature vectors.By this procedure it is possible to obtain the fault feature information of rolling bearing under different speeds and different loads.In order to streamline the feature parameters of the feature vectors to train more uncomplicated models,the principal component analysis(PCA)subsequently performed.The particle swarm optimization-support vector machine(PSO-SVM)model is used to identify and classify the different fault states of rolling bearing.Furthermore,in order to highlight the superiority of the proposed method some comparisons are conducted with the conventional methods.The obtained results show that the proposed method can effectively extract fault features of the rolling bearing under variable conditions.

Observability analysis of feature aided terminal guidance systems

Feature aided design of estimators and guidance laws can significantly improve the interception performance of the terminal guidance system. The achieved enhancement can be effectively assessed by observability analysis methods. This paper first analyzes and discusses the existing assessment methods in a typical endgame scenario with target orientation observations. To get over their deficiencies, a novel singular value decomposition（SVD） method is proposed. Employing both theoretical analysis and numerical simulation, the proposed method can represent the degree of state observability which is enhanced by integrating target features more completely and quantitatively.

Classification of Selfish and Regular Nodes Based on Reputation Values in MANET Using Adaptive Decision Boundary

A MANET is a cooperative network in which each node has dual responsibilities of forwarding and routing thus node strength is a major factor because a lesser number of nodes reduces network performance. The existing reputation based methods have limitation due to their stricter punishment strategy because they isolate nodes from network participation having lesser reputation value and thus reduce the total strength of nodes in a network. In this paper we have proposed a mathematical model for the classification of nodes in MANETs using adaptive decision boundary. This model classifies nodes in two classes: selfish and regular node as well as it assigns the grade to individual nodes. The grade is computed by counting how many passes are required to classify a node and it is used to define the punishment strategy as well as enhances the reputation definition of traditional reputation based mechanisms. Our work provides the extent of noncooperation that a network can allow depending on the current strength of nodes for the given scenario and thus includes selfish nodes in network participation with warning messages. We have taken a leader node for reputation calculation and classification which saves energy of other nodes as energy is a major challenge of MANET. The leader node finally sends the warning message to low grade nodes and broadcasts the classification list in the MANET that is considered in the routing activity.

A New Feature Space for Partial Discharge Signal Separation Based on DWT Coefficient Variance

In this paper, a new feature space for PD （partial discharge） signal separation is presented. Three typical PD defects were experimentally reproduced in a laboratory for obtaining independent PD sources. Signals were acquired with a digital storage oscilloscope and then post-processed with DWT （discrete Wavelet transform） for de-noising. The new feature space for PD source separation was constructed with the variance of each Wavelet coefficient vector and was compared with an established feature space for PD source separation; based on the energy of DWT coefficient vectors. After a space reduction by mean of PCA （principal components analysis）, the separation capability among them was measured by comparing the final classification error after training a neural network Results showed that with this new feature space it is possible to separate different sources of PD signals. Later, the feature space proposed was used to separate two PD sources from a real equipment tested. Further analysis on the reduced feature space has shown the band location of PD signals information for separating purpose.

A Brief Analysis of Linguistic Features of The Gulag Archipelago

English figures of speech are diverse, various and wide in content. They are characterized by fewer words with more meanings, simplicity and profoundness, vividness and humoursness. In the process of writing, the writer, in order to deepen the meaning, will often use a variety of writing techniques and different forms of language features which is the treasure of the English Language, and the crystallization of the wisdom of English nations. So in this paper, the author will introduce in detail The Gulag Archipelago full of all kinds of language characteristics. These language features can be mainly divided into narrative language, dialogue-typed language, descriptive language and argumentative language. The in-depth discussion is based on these four points. This paper is divided into three parts. The first part discusses the author's life, and the formation process of the work to clarify the origin of the writer's thoughts. The second part focuses on language features from the angle of narrative language,dialogue-typed language, descriptive language, and argumentative language illustrated by numerous examples and several kinds of style so as to help us to understand more easily the profound meaning fully conveyed in the novel. The last part is to clarify the value of the works and its influence on later generations.

市镇型历史文化街区价值特征及保护策略研究

市镇型历史文化街区是传统市镇被现代城市吞并后形成的特殊形态的城市文化遗产。它们既保留着整体性的传统市镇空间结构,又呈现了层层积淀的城市遗产空间形态,具有街区类型的特殊性。文章立足市镇型历史文化街区的价值内涵和整体性遗产特征,探究其时空发展规律及保护问题的发生逻辑,并从市镇空间赓续、街区空间更新、街城空间融合3个方面,提出市镇型历史文化街区的保护策略和方法,以期为此类街区的保护传承提供借鉴。

结合未知类特征生成与分类得分修正的SAR目标开集识别方法

现有合成孔径雷达(SAR)目标识别方法大多局限于闭集假定,即认为训练模板库内训练目标类别包含全部待测目标类别,不适用于库内已知类和库外未知新类目标共存的真实开放识别环境。针对训练模板库目标类别非完备情况下的SAR目标识别问题,该文提出一种结合未知类特征生成与分类得分修正的SAR目标开集识别方法。该方法在利用已知类学习原型网络保证已知类识别精度的基础上结合对潜在未知类特征分布的先验认知,生成未知类特征更新网络,进一步保证特征空间中已知类、未知类特征的鉴别性。原型网络更新完成后,所提方法挑选各已知类边界特征,并计算边界特征到各自类原型的距离(极大距离),通过极值理论对各已知类极大距离进行概率拟合确定了各已知类最大分布区域。测试阶段在度量待测样本特征与各已知类原型距离预测闭集分类得分的基础上,计算了各距离在对应已知类极大距离分布上的概率,并修正闭集分类得分,实现了拒判概率的自动确定。基于MSTAR实测数据集的实验结果表明,所提方法能够有效表征真实未知类特征分布并提升网络特征空间已知类与未知类特征的鉴别性,可同时实现对库内已知类目标的准确识别和对库外未知类新目标的准确拒判。

问题导向学习法指导下的英语专业课程思政教育——以“科技英语口译”课程为例

基于课程思政教育思想,认为目前高校专业课程与课程思政融合特色不够突出。以上海理工大学的“科技英语口译”课程为例,基于该课程口译材料内容多为科技知识或事件的特色,以“问题导向学习法”(PBL)为指导理论,引导学生思考口译原文讲述的现实问题及其解决方法。课程实践结果表明,该方法可以促进学生对科技词汇中英文表达的理解和记忆,提高科技口译能力和发现并解决问题的能力,对中外科技史上由现实问题触发的科技进步达到更深刻的认识,从而增强爱国热情,培养国际视野。

文县设施特色礼品型西瓜新品种引种试验

通过特色礼品型西瓜新品种的引种比较试验,筛选出适宜文县当地种植的特色礼品型西瓜栽培品种,从而增加文县农民收入和丰富当地特色礼品型西瓜上市种类。对引进的10个特色礼品西瓜新品种进行了引种筛选试验,结果表明,引进的10份特色礼品西瓜新品种在当地均可正常成熟,其中以然龙金霸王表现最好,综合性状表现优良,折合产量最高,为51851.9kg/hm^(2),较对照品种宝冠增产31.6%;产值最高,为207407.6元/hm^(2),较对照品种宝冠增加49778.0元/hm^(2);中心可溶性固形物含量较高,抗白粉病性强。然龙黑黄金F表现较好,综合性状也表现优良,折合产量较高,为43555.6kg/hm^(2),较对照品种宝冠增产10.5%;产值为174222.4元/hm^(2),较对照品种宝冠增加16592.8元/hm^(2);中心可溶性固形物含量较高,抗白粉病性较强。由此可见,然龙金霸王、然龙黑黄金F1田间综合表现更好,产量和产值高,品质优良,抗病性较强,适合在当地进一步扩大示范种植。

CT检查影像特征对小细胞肺癌的诊断价值

目的 探讨CT检查影像特征对小细胞肺癌的诊断价值。方法 选取26例小细胞肺癌(SCLC)患者,作为SCLC组,采用倾向匹配法按1∶2的比例对性别、年龄进行匹配,共选取52例非小细胞肺癌(NSCLC)患者,作为NSCLC组。比较两组患者的CT影像特征,将差异有统计学意义的CT影像特征纳入多因素Logistic回归分析,分析SCLC的影响因素;绘制受试者工作特征(ROC)曲线,计算曲线下面积(AUC),评估CT影像特征对SCLC的诊断价值。结果 两组患者分型、病灶形态、支气管闭塞和/或肺不张、肺门纵隔淋巴结情况、血管受累情况比较,差异均有统计学意义(P﹤0.05)。多因素Logistic回归分析结果显示,周围型肺癌、有支气管闭塞和/或肺不张均为SCLC的独立保护因素(P﹤0.05),肿瘤形态不规则、肺门纵隔淋巴结肿大、有血管受累均为SCLC的独立危险因素(P﹤0.05)。ROC曲线显示,病灶形态、血管受累情况对SCLC具有中等诊断价值,肺门纵隔淋巴结肿大情况、分型、支气管闭塞和/或肺不张情况对SCLC具有较低诊断价值,联合模型诊断SCLC的AUC为0.989(95%CI:0.893~0.997),具有较高诊断价值,均高于各指标单独检测(P﹤0.05)。结论 CT检查见中央型、病灶形态不规则、有肺门纵隔淋巴结肿大、血管受累任意一项可提示为SCLC,上述指标联合检查对SCLC的诊断价值较高。

《甬言稽诂》的校注特色和价值

《甬言稽诂》是近人应钟撰写的一部考释宁波方言的专著,用文言写成,征引丰富,考证详尽,观点或是或非,不好裁择。《〈甬言稽诂〉校注及研究》一书对其进行了校注,探赜发微,正讹辨误,多有创获。今就“校注”的特色和价值略作分析和评述,便于读者更好地了解《甬言稽诂》,更好地传承方言文化。