• Volume 35,Issue 1,2014 Table of Contents
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    • >Special Column: National Young Scholar/Local Science Foundation
    • Design of centrifugal insect micro-force measuring system

      2014, 35(1):1-5. DOI: 10.7535/hbkd.2014yx01001

      Abstract (4630) HTML (0) PDF 766.41 K (4040) Comment (0) Favorites

      Abstract:During biomimetic designing and manufacturing process of insects trapping plate based on special surface structures and great sliding function of slippery zones in Nepenthes pitchers, the attachment force, friction force of insect on biomimetic prototype, and manufactured slippery trapping plates are needed to be measured accurately. To satisfy the demand of measuring the force with mN magnitude, we designed centrifugal insect micro-force measuring system based on centrifugal principle. This system consists of measuring platform and its affiliated mechanical structure, electromotor and its speed regulator, video monitoring system, and baseframe utilized for fixed mounting mechanical parts. The experimental results confirmed that the centrifugal insect micro-force measuring system can accurately measure the force with mN magnitude generated by the attachment system of insects, such as beetle, ants and moths. The measuring accuracy of this system can reach to 0. 1 mN, therefore completely satisfy the demand of accurate measuring insect force during biomimetic designing and manufacturing process of insects trapping plate used for controlling agricultural pest.

    • Research and development of multi-directional wear testing apparatus for artificial joint materials

      2014, 35(1):6-10. DOI: 10.7535/hbkd.2014yx01002

      Abstract (2624) HTML (0) PDF 1.23 M (3420) Comment (0) Favorites

      Abstract:A new multidirectional motion pin-on-disk apparatus, MPOD, was designed, built and validated for the wear testing of artificial joint biomaterial. Following axiomatic design principle, the relationships of different functions of MPOD were analyzed. Then, MPOD, consisting of motion generation module, loading module and pin guiding module, were designed according to the uncoupled design matrix. On-line friction measurement can be realized by using the force sensors assembled in the pin guiding module.

    • Technology, application and development of microfluidics

      2014, 35(1):11-19. DOI: 10.7535/hbkd.2014yx01003

      Abstract (2848) HTML (0) PDF 2.06 M (3581) Comment (0) Favorites

      Abstract:Microfluidics is widely used in fields as biochemical analysis, disease diagnosis, minimally invasive surgery, and environmental monitoring. Key technologies in microfluidics are design and manufacturing of the microchannel structures, driving and control of micro-and nano-scale fluid flows, and integration and packaging of microfluidic devices and systems. In this paper, present status, applications, and prospected development of the microfluidic technology are reviewed. Meso-scale transport theory of multiphase microflows and properties of cross-scale fluids are proposed to be the hotspots in future research.

    • Key technologies to improve articulated arm coordinate measuring machines' measurement accuracy

      2014, 35(1):20-23. DOI: 10.7535/hbkd.2014yx01004

      Abstract (2720) HTML (0) PDF 790.79 K (3376) Comment (0) Favorites

      Abstract:On the base of no increasing in hardware cost, some key technologies are discussed in order to improve articulated arm coordinate measuring machines' measurement accuracy. After the deficiency of measurement model is analyzed, the idea of one multi-mode machine is proposed. The inhomogeneity of space error is studied, and the optimal measurement area is presented. The data acquisition technology is presented through the disadvantages of the random sampling. The calibration content is put forward when the difficulties of calibration technology are considered.

    • >Chemistry and Chemical Industry
    • Research progress on colloidal crystals

      2014, 35(1):24-28. DOI: 10.7535/hbkd.2014yx01005

      Abstract (2219) HTML (0) PDF 834.85 K (2420) Comment (0) Favorites

      Abstract:Colloidal crystals are a series of periodic structure arranged orderly. In recent years, due to its potential applications in many fields, the colloidal crystal attracts much attention and is committed to be artificially synthesized. In this paper, the building blocks, such as hard monodisperse microspheres, core-shell microspheres and binary microspheres, preparation methods including solvent evaporation self-assembly, and external field force self-assembly are reviewed.

    • Adsorption research of Cd2+ by crosslinked carboxymethyl tamarind

      2014, 35(1):29-33. DOI: 10.7535/hbkd.2014yx01006

      Abstract (2599) HTML (0) PDF 670.91 K (2350) Comment (0) Favorites

      Abstract:With tamarind kernel polysaccharide(TKP)as matrix, sodium monochloroacetic acid(SMCA)as etherifying agent and epichlorohydrin(ECH)as crosslinking agent, three kinds of crosslinked carboxymethyl tamarind(CCMTKP)samples with degree of substitution (DS) 0. 42, 0. 64 and 0. 88 were prepared, and used to adsorb Cd2+ from aqueous solution. The appropriate range of pH value was 2~6. The optimal adsorbent dosage was 0. 5%(w/w). The adsorption capacity rapidly reached equilibrium within 15 min and adsorption followed second-order kinetic equation. The adsorption of Cd2+ is well followed as the Langmuir isotherm and the maximum adsorption capacity(Qm) was 64. 10 mg/g. The regeneration study indicates that CCMTKP could be used repeatedly without significantly changing their adsorption capacities, which indicates that CCMTKP has the potential to treat waste water containing Cd2+.

    • >Mechanical, Electronics and Computer
    • An area mark segmentation algorithm for dental cast

      2014, 35(1):34-38. DOI: 10.7535/hbkd.2014yx01007

      Abstract (3490) HTML (0) PDF 927.75 K (3315) Comment (0) Favorites

      Abstract:In order to increase efficiency and accuracy in auto segmentation of STL dental cast for invisalign, the paper improves the traditional segmentation algorithm. The new algorithm changes single piece input mode into area selection input mode. The bending degree expression about adjacent surfaces was taken as the corresponding height field functions. We designed the direct insertion sort instead of the stack sort. The result shows that the new algorithm can achieve a more complete segmentation for dental crown and improve efficiency, meeting invisalign requirements.

    • Stator fault diagnosis in induction motor fed with variable converter via improved correlation algorithm

      2014, 35(1):39-45. DOI: 10.7535/hbkd.2014yx01008

      Abstract (2467) HTML (0) PDF 933.67 K (2616) Comment (0) Favorites

      Abstract:When induction motor is fed with variable converter, the harmonic components soared in stator current, and the diagnosis of stator inter-turn short circuit fault is different from the case of direct power network. Furthermore, both the unbalanced supply voltage sources and the inherent asymmetries in the motor will affect diagnosis. To solve the above problems, the reference signals are constructed by modulated frequency, and the fundamental component of modulated frequency in the stator current can be obtained accurately to avoid the influence of the unbalanced supply voltage and higher harmonic produced by converter. And the positive sequence component of modulation frequency is turned into the second harmonic by using synchronous speed transformation of the inverse modulated frequency, and the negative sequence one is transformed into the DC component. The DC component can be separated out by taking the mean algorithm applied to samplings of whole period. A sensitivity factor is defined to evaluate the severity extension of the inter-turn short circuit faults in the stator, which takes into account the manufactured asymmetry of the induction motor. Experiment results indicate that the sensitivity factor can accurately reflect the fault characteristics of the inter-turn short circuit, the influences of harmonics and noise can be avoided, and the algorithm has strong robustness on the unbalance of supply voltage. This method is feasible.

    • >Textile and Biological Engineering
    • Moisture absorption and liberation properties of honeycomb micropore modified polyester fiber

      2014, 35(1):46-50. DOI: 10.7535/hbkd.2014yx01009

      Abstract (2802) HTML (0) PDF 753.65 K (2678) Comment (0) Favorites

      Abstract:The moisture absorption and liberation properties of honeycomb micropore modified polyester fiber were studied. Through testing moisture absorption, liberation regains of honeycomb micropore modified polyester fiber, and normal polyester fiber in standard atmospheric conditions, their moisture absorption and liberation curves were depicted. The regression equations of moisture regains to time during their reaching, the balance of moisture absorption and moisture liberation were obtained according to the curves. Their moisture absorption and liberation rate curves were analyzed, and the regression equations of the rates to time were obtained. The results show that the moisture regain, initial moisture absorption rate, and moisture liberation rate of honeycomb micropore modified polyester fiber is much higher than those of normal polyester fiber with excellent performance of the moisture absorbance and sweat transportation properties of honeycomb micropore modified polyester fiber.

    • Influences of AGO1 to the development of the Arabidopsis leaves with the serration margin

      2014, 35(1):51-57. DOI: 10.7535/hbkd.2014yx01010

      Abstract (3076) HTML (0) PDF 1.53 M (2666) Comment (0) Favorites

      Abstract:In Arabidopsis thanalia and Oryza sativa, Argonaute(AGO)proteins are the core components of RISC which play important roles in miRNA function, and AGO1 encodes an RNA Slicer that selectively recruits microRNAs and siRNAs. Total RNA was extracted from seedlings of Arabidopsis thanalia to clone the AGO1 gene. The plant expression vector of AGO1 was constructed(pBI121-AGO1)and transformed into Arabidopsis by the Agrobacterium-mediated method. In our results, we selected the T1 transgenic Arabidopsis with AGO1 gene by Kanamycin resistance and RT-PCR analysis. According to the phenotype of transgenic plants, we discovered the incised margin of the transgenic Arabidopsis leaves.

    • >Special Column: New Energy Resources, Energy Conservation and Environmental Protection
    • Ways to enhance the efficiency of TiO2-photocatalytic in wastewater treatment and the research progress

      2014, 35(1):58-63. DOI: 10.7535/hbkd.2014yx01011

      Abstract (2413) HTML (0) PDF 984.57 K (2479) Comment (0) Favorites

      Abstract:This paper introduced the basic principle of photocatalytic oxidation and the existing problems. Discussed how to improve the photocatalytic activity as well as the main way to research status. Improving the photocatalytic oxidation activity in two major ways: Suppress the electron-hole pairs composite as well as broaden the spectral response range of photocatalytic composite. By means of further simplification: effective use of solar energy. Photocatalytic in solving wastewater treatment has broad prospects for development.

    • Numerical simulation of the heat storage process about battery incubator in the communication base station

      2014, 35(1):64-68. DOI: 10.7535/hbkd.2014yx01012

      Abstract (2364) HTML (0) PDF 680.43 K (2424) Comment (0) Favorites

      Abstract:Using Solidification/Melting model in the computational fluid dynamics software FLUENT software, the heat storage process of battery incubator with heat storage of phase change in the communication base station was numerically simulated. The changing curves of the total time of the solidification/melting, the temperature and the liquid rate of phase change materials, and the incubator air temperature with time were obtained. The simulation was analyzed. The result shows the change law of the temperature in battery incubator, which will provide reference for the design of battery incubator in communication base station.

    • Development status and prospect of solar photovoltaic power generation in China

      2014, 35(1):69-72. DOI: 10.7535/hbkd.2014yx01013

      Abstract (4386) HTML (0) PDF 646.69 K (4788) Comment (0) Favorites

      Abstract:The solar energy is an inexhaustible, clean, safe and renewable resource. With the greatest development potential among the five kinds of new energy sources, it is considered to be one of the best alternatives to replace fossil energy in the 21st century. The paper introduces the principle, characteristics and development status of solar photovoltaic power generation. Being promoted by the world trend, supported by national policy, and upgraded by the industry itself, the solar photovoltaic power generation will must develop rapidly.

    • Numerical study on mechanism and characteristic of heat transfer enhancement of spirally fluted tube

      2014, 35(1):73-78. DOI: 10.7535/hbkd.2014yx01014

      Abstract (2163) HTML (0) PDF 1.04 M (2365) Comment (0) Favorites

      Abstract:In this paper, nine single start tubes with different structural parameters were studied numerically based on Fluent. The velocity and temperature distributions in the tubes microcosmically revealed the mechanism of heat transfer enhancement. According to the result of numerical calculation, in the range of Re=10 000~45 000, the Nusselt number Nu of spirally fluted tube is 1. 34 to 2. 01 times that of the smooth tube, and resistance coefficient f is 2. 01 to 6. 40 times that of the smooth tube. Nu and f increase as e increases, and decrease as p increases. The comprehensive performance of the tube is obviously better than that of smooth tube. Number two tube which has the best comprehensive performance can increase heat flux by 14%~19% in the condition of equal heat transfer area and pump power.

    • >约稿:数据分析与计算专栏
    • Survey on distributed data mining

      2014, 35(1):80-90. DOI: 10.7535/hbkd.2013yx05012

      Abstract (3066) HTML (0) PDF 2.33 M (1889) Comment (0) Favorites

      Abstract:With the continuous technological breakthroughs in the fields of network and communication, modern networks as Internet, mobile network, broadcast network and their derivative business have been quickly developed. The ubiquitous distributed computing environments in cyberspace are popularly constructed. To maximize the value of the data accumulated in the distributed computing environments, we need to use data mining technology to discover the hidden patterns or rules. The knowledge(patterns or rules)can be used for management decision supporting in daily production or operation in order to improve the decision-making level and consequent gains. However, subject to the prevailing heterogeneity, proprietary, platform compatibility and other restrictions, and also considering industry completion and legal constraints, etc. , (such as personal or corporate data privacy issues), the data sources interconnected by networks are difficult to be centrally mined, so distributed data mining(DDM)technology came into being. First, this paper introduces the definition, framework, applicable scenarios and current research challenges of DDM. According to the high-level architecture of DDM introduced in this article, the quality of final result is closely related to the local data source's type, availability, quality and integration method of the local results. DDM may not be implemented in a purely independent(between the sites)manner. In addition, when the data are centralized and there are distributed sites in the system, DDM can also be adopted. Currently, the main challenges in DDM research fields are: heterogeneous and homogeneous mining, data variability in dynamic environment, communication cost, knowledge integration and semantic heterogeneity and so on. Second, the current DDM systems are divided into four categories: 1)System based on multi-agent. Agent's autonomy is used for local mining to protect data privacy; Agent's initiative is used to reduce the user involvement to improve the level of automation in mining; Agent's collaboration is used for multi-algorithm cooperative mining. 2)Grid-based system. Making use of the grid advantages in terms of resource sharing, open services, and collaborative work, reliability and interoperability are improved in mining. 3)System based on meta-learning. Through meta-learning, the mining algorithm selection and combination are optimized, and the quality of the results is improved by repeatedly training of the knowledge. 4)System based on CDM(Collective Data Mining)framework. The function to be learned is expressed as a set of distributed basis functions; the data source is allowed to select different learning algorithm, and the overall network traffic is decreased on the premise that the global result is correct. Furthermore, the common issues exist in the current DDM research fields are summarized: 1)Result quality. DDM system does not consider the intrinsic semantic relations among data sources of each site. Each site independently mines the local data, and there are no data interchange or fusion with other sites at semantic level. The DDM job is executed in form of pure "split-style", which eventually damages the quality of the global result. 2)Mining efficiency. It's the problem about how to schedule resources to achieve loading balancing, reducing communication cost in collaborative mining. For result quality, this paper explores the solution to combine ontology and data mining. As the basis of the Semantic Web, ontology can provide effective support for measuring the semantic distance between objects. Currently, researchers have already conducted exploratory work that describes the field context of mining task with ontology, and the data mining process itself with ontology. For example, for selection of effective ones from massive rules in association rule mining, some people proposed interactive, post-mining approach for the deletion of redundant rules. Given the premise of process input and output types of the knowledge discovery, Some people provided a solution concerning the automatically constructed problem of knowledge discovery workflow. Through the description of this paper, we can find that if we want to improve the quality of distributed local results in mining process and final global result, one of strategies is to compromise the DDM theory and the ontology theory, making the semantic distance measurement between data sources as a breakthrough, and establishing a compound quantification system for semantic distance measurement, finally achieving the goal by building and solving new DDM model.

    • Review of information visualization

      2014, 35(1):91-102. DOI: 10.7535/hbkd.2014yx01016

      Abstract (8929) HTML (0) PDF 2.12 M (2536) Comment (0) Favorites

      Abstract:Information visualization is the application of visualization technology in non-spatial data area, enhancing data presentation effect. Users can observe the data intuitively and interactively so as to find implicit features, relations and patterns in data. The application of information visualization is very abroad which includes data mining visualization, network data visualization, social data visualization, traffic visualization, text visualization, and medicine visualization, etc. According to Card model on information visualization, process of information visualization includes three stages: data pretreating, data plotting, data displaying and interacting. Ben Shneiderman notes that visualization data includes one-dimensional data, two-dimensional data, three-dimensional data, multi-dimensional data, temporal data, hierarchical data, and network data, of which are given much attention to research. Visualization methods of multi-dimensional data include geometry methods, icon methods, and animation methods, etc. Among the geometry-based visualization methods, the most classic one is the parallel coordinates approach. It uses parallel vertical axis to represent the dimension values. By the multidimensional data portrayed on the shaft, and by the coordinate point connected with a line to a data entry on the axes, the multidimensional data was presented. Multi-dimensional data was displayed concisely and quickly in Parallel Coordinates, and improved many techniques. When scale of data set was very large, the dense lines could cause visual clutter. The methods of clutter reduction include dimension reordering, interacting, clustering and filtering, and visual enhancement, etc. Other methods based on geometry, including Radviz(Radial Coordinate visualization), display multi-dimensional data by circular coordinate. Scatter plot matrix arranges every demensions of multidimensional data to be combined into pairwise mode, drawing a series of regular scatters. Icon was used to describe the multi-dimensional data by its geometrical features including size, length, form and color, etc. Icon methods include star graph and Chernoff face method. Animation used for visualization can improve the degree of interacting and understanding. , but with shortcomings such as: distraction, misunderstanding and visual clutter. Time serial data refers to data sets with time property. The visualization methods include line chart, stock chart, animation, horizon graph and Timeline. Hierarchical data can be used to describe object whose attributes are rank and level. Its visualization methods include linking point graph and tree map. Tree map displays hierarchical data by nesting hoop and lump. For displaying more content, based on "Focus+Content" technology, some methods were put forward including "fish eyes" technology, geometry deformation, Semantic zooming and clustering. Network data has network structure. Layout algorithm is the core of visualization of network data, which includes three classes: Force-Directed Layout, Hierarchical Layout and Grid Layout. When there're many data connection nodes, edge corssover phenomenon happens, causing visual confusion. There were a variety of techniques for resolving the edge bundling, including hierarchical edge bundling, force-directed edge bundling, geometry-based edge clustering, multi-level agglomerative edge bundling, and grid-based methods. Other research hotspots include research on visual feature, adaptive visualization and evaluation of information visualization. Effect of visual feature such as position, length, area, shape and color, etc. on visual result has received considerable attention. Color is one of most important visual factor, so research focuses on the color selection principle and interaction system, which are based on data type, quantity, and cognitive constraints. Adaptive visualization can enhance adaptability of information visualization, which includes adaptive display, adaptive resource model, and adaptive user model according to research of Domik & Gutkauf and Grawemeyer & Cox. Adaptive display provides automatic and suitable display for different users, including selecting content and layout, adjusting visual features automatically. Adaptive resource model means utilizing hardware and software to enhance visual performance. Adaptive user model means displaying user model in order to edit and control content. Morse et al. notes that the research on evaluation of information visualizations is rare. Evaluation on direct and general information visualization was not involved in some research. So, it is needed to do deep research on the theoretical basis, method and application of information visualization evaluation. Technology and application of information visualization should be developed in four aspects, displaying data directly perceived through the senses, mining and showing relation between data, strengthening demonstration of aesthetics and artistry, enhancing performance of interaction and operation on real-time data. Dai et al. noted that research direction of information visualization was Collaboration, Analytics, Computational and Sense-making. Research directions in future is as following. Visualization and data mining: to promote efficiency and avoid visual clutter in processing huge data, information visualization should be combined with data mining so that user can operate huge data and discover implicit information. Collaborative visualization: Collaborative visualization includes interface design, collaborative platform based on web, view design, workflow design, and application of technology. Application in more fields: statistics visualization refers to processing and handling the statistical process data and results by method of geometry, animation, and graph ett. News visualization refers to presenting diversely analysis results after grasping, cleaning, and drawing news corpus. Social network visualization refers to displaying and revealing relation, comparison, and trend of social network through integration of dimensions of time and space. Search log visualization refers to displaying huge searching behavior when using a search engine. Users' search behavior, relationships and patterns are presented visually.

    • A community detection algorithm based on triadic closure and membership closure

      2014, 35(1):103-108. DOI: 10.7535/hbkd.2014yx01017

      Abstract (8976) HTML (0) PDF 965.35 K (3488) Comment (0) Favorites

      Abstract:With the development of network and the expansion of people's communication ways, the social network penetrates into almost every corner of the entire society, and changes the ways of information communicating and news sharing, attracting more and more people's attention and research on it. Social network, also named social networking service, originated from the translation of British SNS(social network service), was literally translated as social network services or social networking service in Chinese. There're many manifestations of social networking platforms, such as: QQ, WeChat, Facebook and Micro-blog. In this paper, we mainly focus on the micro- blog, the emerging social platform. The main purpose of research on micro-blog is to find out the various relationships between users. People generally believe there're mainly 5 relations existing in miro-blog among users: the relationship of concerning, mentioning, forwarding, commenting and being friends. Due to the large number of social network users and the complicated relations among them, the generated social data, compared with the traditional data, has the characteristics of large amount of data, complex structure and semantically rich features. So according to the relationship among users, this paper proposes divided community algorithm based on triadic closure. In the first instance, this algorithm took the initial community as being empty, in which the vertex degree maximum among all vertices was chosen as the initial vertex, then requesting for the number of Triadic closures between the initial vertex and the adjacent vertex, and requesting for the probability of vertices belonged to the community. The vertex with the maximum Ps joined the initial vertex community, forming a new initial community. With continued iterating, and by using collection algorithm of triadic and membership closure, the remained few vertices could be divided into different communities until the entire community was completely divided. Finally, every community was intuitively and visually presented by Graphics. When using this algorithm, the number of Triadic closure, the probability of vertex belonged to a community and the difference in expansion degree are the keys to value vertices in complex network. This method combines the characteristics of the global importance of vertices. Namely, in complex networks, the greater the number of Triadic closure is, the greater the likelihood of them in a community will be. The greater the vertex membership closures are, the priorer the vertex will be divided. The difference in expansion degree is to determine whether the i community is divided completely or not. The research of social networking can not only help us understand and analyze the network structure, and detect to analyze network, but also can help link the relationship in virtual world to the real world. So the virtual relationship could be transferred into profits, providing valuable network for enterprises, and digging out the great economic value behind the social network. It can be embodied like this: firstly, to help companies find potential business opportunities by analyzing users' comments and published content to learn their consumption power, preferences and recent buying habits, thus to know the probability that he could purchase products. Second, it can give crisis warning message. According to user's information, products satisfaction degree of users can be learnt. Third, it can drive the information propagation speed and message breadth, of which the enterprises take advantage, achieving better product publicity. Compared with the community network of Bottlenose Dolphin Internet and Zachary, the algorithm mentioned in this paper was proved to be effective and feasible.

Editor in chief:朱立光


International standard number:ISSN 1008-1542

Unified domestic issue:CN 13-1225/TS

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