增强民企发展后劲

民企的发展,有赖于政策扶持、政府的贴身服务以及社会各个方面形成的助推合力。国企有着技术、管理、人才、资源等优势,对当地周边的民企应该提供多渠道要素支撑,让民企主业更加精干突出,增强发展后劲。笔者认为,国企可在以下三方面对民企提供支持帮助。

Feature Extraction of Stored-grain Insects Based on Ant Colony Optimization and Support Vector Machine Algorithm

[Objective] The aim was to study the feature extraction of stored-grain insects based on ant colony optimization and support vector machine algorithm, and to explore the feasibility of the feature extraction of stored-grain insects. [Method] Through the analysis of feature extraction in the image recognition of the stored-grain insects, the recognition accuracy of the cross-validation training model in support vector machine （SVM） algorithm was taken as an important factor of the evaluation principle of feature extraction of stored-grain insects. The ant colony optimization （ACO） algorithm was applied to the automatic feature extraction of stored-grain insects. [Result] The algorithm extracted the optimal feature subspace of seven features from the 17 morphological features, including area and perimeter. The ninety image samples of the stored-grain insects were automatically recognized by the optimized SVM classifier, and the recognition accuracy was over 95%. [Conclusion] The experiment shows that the application of ant colony optimization to the feature extraction of grain insects is practical and feasible.

新亚纸业集团隆重召开“庆五一”暨2014年度先进集体、先进个人表彰大会

4月30日下午,新亚纸业集团庆＂五一＂暨2014年度先进集体,先进个人表彰大会隆重召开。大会对2014年度公司涌现出来的8个先进集体和30名模范职工进行了表彰、奖励。

单纯用圈套器摘除扁桃体的体会(摘要)

我院1980年以来在临床上采用了单纯用圈套器摘除扁桃体104例,年龄分布在4.5岁1例,5-13岁79例,14-17岁18例,18-21岁6例,均收到了良好的效果。手术适应症:①儿童生理性Ⅲ°以上肥大型,增生型非粘连性影响呼吸发音和发育的扁桃体,②也适合于青年人反复发炎的Ⅲ°以上的粘连轻微的扁桃体。操作方法:术前准备和麻醉均可同于挤切法。在完成麻醉后取仰卧垂头位或是坐位均可,先将扁桃体抓钳插入扁桃体圈套器的钢丝圈内,一手提持,另一手用压舌板将舌体压向口底。

Classification of underwater still objects based on multi-field features and SVM

A Support Vector Machine is used as a classifier to the automatic detection and recognition of underwater still objects. Discrimination between the objects can be transferred into different projection spaces by the process of multi-field feature extraction. The multi-field feature vector includes time-domain, spectral, time-frequency distribution and bi-spectral features. Underwater target recognition can be considered as a problem of small sample recognition. SVM algorithm is appropriate to this kind of problems because of its outstanding generalizability. The SVM is contrasted with a Gaussian classifier and a k-nearest classifier in some experiments using real data of lake or sea trial. The experimental results indicate that SVM is better than the others two.

Positional effect of mutations in 5'UTR of hepatitis C virus 4a on patients' response to therapy

AIM： To investigate the effects of mutations in domain Ⅲ of the hepatitis C virus （HCV） internal ribosome entry sequences （IRES） on the response of chronic HCV genotype 4a patients to interferon therapy.METHODS： HCV RNA was extracted from 19 chronic HCV 4a patients receiving interferon/ribavirin therapy who showed dramatic differences in their response to combination therapy after initial viral clearance. IRES domain Ⅲ was cloned and 15 clones for each patient were sequenced. The obtained sequences were aligned with genotype 4a prototype using the ClustaIW program and mutations scored. Prediction of stem-loop secondary structure and thermodynamic stability of the major quasispecies in each patient was performed using the MFOLD 3.2 program with Turner energies and selected constraints on base pairing.RESULTS： Analysis of RNA secondary structure revealed that insertions in domain Ⅲ altered WatsonCrick base pairing of stems and reduced molecular stability of RNA, which may ultimately reduce binding affinity to ribosomal proteins. Insertion mutations in domain - were statistically more prevalent in sustained viral response patients （SVR, n = 14） as compared to breakthrough （BT, n = 5） patients.CONCLUSION： The influence of mutations within domain Ⅲ on the response of HCV patients to combination therapy depends primarily on the position, but not the frequency, of these mutations within IRES domain Ⅲ.

Automatic detection and removal of static shadows

In case of complex textures,existing static shadow detection and removal algorithms are prone to false detection of the pixels.To solve this problem,a static shadow detection and removal algorithm based on support vector machine(SVM)and region sub-block matching is proposed.Firstly,the original image is segmented into several superpixels,and these superpixels are clustered using mean-shift clustering algorithm in the superpixel sets.Secondly,these features such as color,texture,brightness,intensity and similarity of each area are extracted.These features are used as input of SVM to obtain shadow binary images through training in non-operational state.Thirdly,soft matting is used to smooth the boundary of shadow binary graph.Finally,after finding the best matching sub-block for shadow sub-block in the illumination region based on regional covariance feature and spatial distance,the shadow weighted average factor is introduced to partially correct the sub-block,and the light recovery operator is used to partially light the sub-block.The experimental results show the number of false detection of the pixels is reduced.In addition,it can remove shadows effectively for the image with rich textures and uneven shadows and make a natural transition at the boundary between shadow and light.

Action Recognition from a Different View

In this paper,we propose a novel approach to recognise human activities from a different view.Although appearance-based recognition methods have been shown to be unsuitable for action recognition for varying views,there must be some regularity among the same action sequences of different views.Selfsimilarity matrices appear to be relative stable across views.However,the ability to effectively realise this stability is a problem.In this paper,we extract the shape-flow descriptor as the low-level feature and then choose the same number of key frames from the action sequences.Self-similarity matrices are obtained by computing the similarity between any pair of the key frames.The diagonal features of the similarity matrices are extracted as the highlevel feature representation of the action sequence and Support Vector Machines(SVM) is employed for classification.We test our approach on the IXMAS multi-view data set.The proposed approach is simple but effective when compared with other algorithms.

Sustainable copper extraction from mixed chalcopyrite–chalcocite using biomass

This paper elaborated on the sustainability of the copper extraction process. In fact, an alternative copper extraction route from mixed sulphide ores, chalcopyrite and chalcocite using mesophilic biomass consortium at 33.3 °C and ferric leaching process were attempted. Bioleaching experiments were settled with a fraction size of-75+53 μm. Bacteria were used as the catalyst. A copper yield of 65.50% was obtained. On the other hand, in ferric leaching process, with a fraction size of-53+38 μm, when the temperature was increased to 70 °C, the copper leaching rate increased to 78.52%. Thus, comparatively, the mesophilic bioleaching process showed a more obvious advantage in copper extraction than leaching process with a high temperature. However, it has been resolved from the characterization performed using SEM-EDS, FTIR and XRD observations coupled with different thermodynamic approaches that, the indirect mechanism is the main leaching mechanism, with three transitory mechanisms(polysulphide, thiosulphate and elemental sulphur mechanisms) for the mixed chalcopyrite-chalcocite ore. Meanwhile, the speciation turns into Cu2 S-Cu S-Cu5 Fe S4-Cu2 S before turning into Cu SO4. While ferrous oxidation and the formation of ferric sulphate occur, and there is a formation of strong acid as bacteria digest sulphide minerals into copper sulphate at low temperature, which is why this copper production scenario requires a redox potential more than 550 m V at room temperature for high copper leaching rate.

Intercultural Communication of Assist Card in Connecting Its Cardholder and Its Medical Service Provider

Technology-assisted, multi-party involved, non-face-to-face communication will become more prevail than interpersonal communication, and will play more important role in intercultural communication. Conflicts, complaints rise, how to balance all different positioned parties, how to advance the case will be of referential value to the cases coming later. AC at the center of multi-lateral communication acted timely and appropriately to have managed the complaints and facilitated communication. As an international traveling assistance and insurance company, Assist Card provides medical assistance from its direct and indirect medical service providers around the world to its cardholders. The role AC plays in connecting its cardholders and both its direct and indirect medical service providers is crucial and dominating. This is a case study of how did AC especially AC China act to facilitate the dialogue between Maria, the patient and Hengyang HP, the problem of AC intragroup communication, how did the in-group intimacy help AC trust hospital, defend for it, while believe it was Maria who should be more intercultural sensitive. Participant observation is another research method. Dialectical approach was used to analyze intercultural sensitivity responsibility.

Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine

In ultrasonic extraction technology, optimization of technical parameters often considers extraction medium only, without including ultrasonic parameters. This paper focuses on controlling the ultrasonic extraction process of puerarin, investigating the influence of ultrasonic parameters on extraction rate, and empirically analyzing the main components of Pueraria, i.e., isoflavone compounds. A method is presented combining orthogonal experi- mental design with a support vector machine and a predictive model is established for optimization of technical parameters. From the analysis with the predictive model, appropriate process parameters are achieved for higher extraction rate. With these parameters in the ultrasonic extraction of puerarin, the experimental result is satisfactory. This method is of significance to the study of extracfing root-stock plant medicines.

Fast Matrix Computation Algorithms Based on Rough Attribute Vector Tree Method in RDSS

The concepts of Rough Decision Support System (RDSS) and equivalence matrix are introduced in this paper. Based on a rough attribute vector tree (RAVT) method, two kinds of matrix computation algorithms — Recursive Matrix Computation (RMC) and Parallel Matrix Computation (PMC) are proposed for rules extraction, attributes reduction and data cleaning finished synchronously. The algorithms emphasize the practicability and efficiency of rules generation. A case study of PMC is analyzed, and a comparison experiment of RMC algorithm shows that it is feasible and efficient for data mining and knowledge-discovery in RDSS.

Analyzing Heat Extraction and Sustainability of EGS with a Novel Model

We investigate the subsurface heat exchange process in EGS （enhanced geothermal systems） with a previously developed novel model. This model treats the porous heat reservoir as an equivalent porous medium of a single porosity. However, it considers local thermal non-equilibrium between solid rock matrix and fluid flowing in the factures and employs two energy conservation equations to describe heat transfer in the rock matrix and in the fractures, respectively, enabling the modeling and analyses of convective heat exchange in the heat reservoir. Another salient feature of this model is its capability of simulating the complete subsurface heat exchange process in EGS. The EGS subsurface geometry of interest physically consists of multiple domains： open channels for injection and production wells, the artificial heat reservoir, and the rocks enclosing the heat reservoir, while computationally we treat it as a single-domain of multiple sub-regions associated with different sets of characteristic properties （porosity and permeability, etc.）. This circumvents typical difficulties about matching boundary conditions between sub-domains in traditional multi-domain approaches and facilitates numerical implementation and simulation of the complete subsurface heat exchange process. This model is used to perform a comprehensive parametric study with respect to an imaginary doublet EGS. Effects of several parameters, including the permeability of heat reservoir, heat exchange coefficient in the heat reservoir, the specific area of fractures in the heat reservoir, and thermal compensation from surrounding rocks, on the heat extraction efficiency and EGS lifetime are analyzed.

B-SPLINE-BASED SVM MODEL AND ITS APPLICATIONS TO OIL WATER-FLOODED STATUS IDENTIFICATION

A method of B-spline transform for signal feature extraction is developed. With the B-spline, the log-signal space is mapped into the vector space. An efficient algorithm based on Support Vector Machine (SVM ) to automatically identify the water-flooded status of oil-saturated stratum is described. The experiments show that this algorithm can improve the performances for the identification and the generalization in the case of a limited set of samples.

No-Reference Quality Assessment of Enhanced Images

Image enhancement is a popular technique,which is widely used to improve the visual quality of images.While image enhancement has been extensively investigated,the relevant quality assessment of enhanced images remains an open problem,which may hinder further development of enhancement techniques.In this paper,a no-reference quality metric for digitally enhanced images is proposed.Three kinds of features are extracted for characterizing the quality of enhanced images,including non-structural information,sharpness and naturalness.Specifically,a total of 42 perceptual features are extracted and used to train a support vector regression(SVR) model.Finally,the trained SVR model is used for predicting the quality of enhanced images.The performance of the proposed method is evaluated on several enhancement-related databases,including a new enhanced image database built by the authors.The experimental results demonstrate the efficiency and advantage of the proposed metric.

Study of Succinic Acid Production by Actinobacillus Succinogenes

Succinic acid has recently emerged as an important chemical （commodity） because it can be used for the manufacturing of synthetic resins and biodegradable polymers and as an intermediate for chemical synthesis. Till date, succinic acid is mainly produced by chemical processes, however, due to the environmental concerns and the concepts of sustainability, researches are directed towards the production of succinic acid by microbial fermentation. The fact that carbon dioxide （CO2） is needed by the microorganisms for succinic acid production is another interesting feature. The fermentation was carried out with Actinobacillus succinogenes using a two-level fractional factorial design 2sl. The variables analyzed and their levels were： concentration of glucose, yeast extract, temperature, pH and agitation. The results show that the variables that more influenced on succinic acid production were pH, temperature and yeast extract.

Brain-Computer Interface Design Using Signal Powers Extracted During Motor Imagery Tasks

Accurate classification of EEG left and right hand motor imagery is an important issue in brain-computer interface. Firstly, discrete wavelet transform method was used to decompose the average power of C3 electrode and C4 electrode in left-right hands imagery movement during some periods of time. The reconstructed signal of approximation coefficient A6 on the 6al level was selected to build up a feature signal. Secondly, the performances by Fisher Linear Discriminant Analysis with two different threshold calculation ways and Support Vector Machine methods were compared. The final classification results showed that false classification rate by Support Vector Machine was lower and gained an ideal classification results.

基于无线传感器网络定位技术的图书馆智能管理创新

"互联网+"时代,信息技术的发展对图书馆的智能化管理工作提出了更高的要求。文章概述了无线传感器网络与定位技术,重点讨论了如何将WSN定位技术运用到图书智能管理,通过定位技术与大数据、云计算等信息技术的结合,推动图书馆智能系统建设和智能化发展。

让中港泰富腐植酸肥料越来越接地气

2014年10月16日,应中港泰富（北京）高科技有限公司（以下简称＂中港泰富＂）邀请,曾宪成理事长携会员部、技术部负责人一行3人前往公司通州厂区进行了考察指导。上午9时,曾理事长一行在中港泰富副总经理陈会、厂长曾茂富等6名高管的陪同下,视察了公司腐植酸水溶肥生产线、掺混肥生产线、增效氮肥生产线、产品展示厅等。

基于智力城镇化的特色小镇产业培育探索——以辽宁通远堡镇为例

我国城镇化正处于劣势的体力城镇化阶段,特色小镇作为新型城镇化的主力军,体力化威胁仍不可避免。为缓解特色小镇体力化困境,文章基于智力城镇化的相关理论,以辽宁通远堡镇为例,围绕特色产业展开智力化培育的探索。结合链式产业思维,以智力投入、智力主体、智力产出三大环节为基础,以智力要素创新性地打造智力链条,构建可持续的特色产业,带动城镇化转型升级,以期为辽宁省乃至全国特色小镇培育提供借鉴。