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Search Results: 1 - 10 of 39569 matches for " Dong Bin "
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A Research of Real-Time Pricing Mechanism and Its Characteristics  [PDF]
Yichao Dong, Bin Zou
Journal of Power and Energy Engineering (JPEE) , 2015, DOI: 10.4236/jpee.2015.34033

Real-Time Pricing (RTP) is proposed as an effective Demand-Side Management (DSM) to adjust the load curve in order to achieve the peak load shifting. At the same time, the RTP mechanism can also raise the revenue of the supply-side and reduce the electricity expenses of consumers to achieve a win-win situation. In this paper, a real-time pricing algorithm based on price elasticity theory is proposed to analyze the energy consumption and the response of the consumers in smart grid structure. We consider a smart grid equipped with smart meters and two-way communication system. By using real data to simulate the proposed model, some characteristics of RTP are summarized as follows: 1) Under the condition of the real data, the adjustment of load curve and reducing the expenses of consumers is obviously. But the profit of power supplier is difficult to ensure. If we balance the profits of both sides, the supplier and consumers, the profits of both sides and the adjustment of load curve will be relatively limited. 2) If assuming the response degree of consumers to real-time prices is high enough, the RTP mechanism can achieve the expected effect. 3, If the cost of supply-side (day-ahead price) fluctuates dramatically, the profits of both sides can be ensured to achieve the expected effect.

Sparse Representation on Graphs by Tight Wavelet Frames and Applications
Bin Dong
Mathematics , 2014, DOI: 10.1016/j.acha.2015.09.005
Abstract: In this paper, we introduce a new (constructive) characterization of tight wavelet frames on non-flat domains in both continuum setting, i.e. on manifolds, and discrete setting, i.e. on graphs; discuss how fast tight wavelet frame transforms can be computed and how they can be effectively used to process graph data. We start with defining the quasi-affine systems on a given manifold $\cM$ that is formed by generalized dilations and shifts of a finite collection of wavelet functions $\Psi:=\{\psi_j: 1\le j\le r\}\subset L_2(\R)$. We further require that $\psi_j$ is generated by some refinable function $\phi$ with mask $a_j$. We present the condition needed for the masks $\{a_j: 0\le j\le r\}$ so that the associated quasi-affine system generated by $\Psi$ is a tight frame for $L_2(\cM)$. Then, we discuss how the transition from the continuum (manifolds) to the discrete setting (graphs) can be naturally done. In order for the proposed discrete tight wavelet frame transforms to be useful in applications, we show how the transforms can be computed efficiently and accurately by proposing the fast tight wavelet frame transforms for graph data (WFTG). Finally, we consider two specific applications of the proposed WFTG: graph data denoising and semi-supervised clustering. Utilizing the sparse representation provided by the WFTG, we propose $\ell_1$-norm based optimization models on graphs for denoising and semi-supervised clustering. On one hand, our numerical results show significant advantage of the WFTG over the spectral graph wavelet transform (SGWT) by [1] for both applications. On the other hand, numerical experiments on two real data sets show that the proposed semi-supervised clustering model using the WFTG is overall competitive with the state-of-the-art methods developed in the literature of high-dimensional data classification, and is superior to some of these methods.
Synthesis, Characterization and Application of ZS/HMS Catalyst in the Esterification of Gossypol  [PDF]
Shihong Dong, Mingyuan Zhu, Bin Dai
Green and Sustainable Chemistry (GSC) , 2012, DOI: 10.4236/gsc.2012.21002
Abstract: A solid acid catalyst of zirconium sulfate (ZS) on a pure hexagonal mesoporous silica (HMS) sieve was prepared and characterized by small angle X-ray diffraction, NH3-temperature programmed desorption, and thermogravimetric analysis. The obtained ZS/HMS catalyst displayed a typical mesoporous structure, ZS was well dispersed on the HMS support, and the acidity increased with the amount of ZS loading. Gossypol was extracted from cottonseed cake with acetone as solvent, and then the gossypol solution was esterified with ZS/HMS as catalyst to yield products of acetic acid gossypol. Under the optimal conditions, the conversion efficiency of gossypol was as high as 96.7%.
Nested multiplex PCR—A feasible technique to study partial community of arbuscular mycorrhizal fungi in field-growing plant root
Xiuli Dong,Bin Zhao
Science China Life Sciences , 2006, DOI: 10.1007/s11427-006-2008-z
Abstract: Plant can be infected by different arbuscular mycorrhizal fungi, but little is known about the interaction between them within root tissues mainly because different species cannot be distinguished on the basis of fungal structure. Accurate species identification of Arbuscular mycorrhizal fungi (AMF) colonized in plant roots is the comerstone of mycorrhizal study, yet this fundamental step is impossible through its morphological character alone. For accurate, rapid and inexpensive detection of partial mycorrhizal fungal community in plant roots, a nested multiplex polymerase chain reaction (PCR) was developed in this study. Five discriminating primers designed based on the variable region of the 5′ end of the large ribosomal subunit were used in the experiment for testing their specificity and the sensitivity in nested PCR by using spores from Glomus mosseae (BEG12), Glomus intraradices (BEG141), Scutellospora castaneae (BEG1) and two unidentified Glomus sp. HAUO3 and HAUO4. The feasibility assay of nested multiplex PCR was conducted by use of spore mixture, Astragalus sinicum roots co-inoculated with 4 species of arbuscular mycorrhizal fungi from pot cultures and 15 different field-growing plant roots respectively after analyses of the compatibility of primers. The result indicated that the sensitivity was in the same range as that of the corresponding single PCR reaction. Overall accuracy was 95%. The efficiency and sensitivity of this multiplex PCR procedure provided a rapid and easy way to simultaneously detect several of arbuscular mycorrhizal fungal species in a same plant root system.
Effects of Erxian Decoction and its separate prescriptions on the levels of luteinizing hormone and follicle-stimulating hormone in anterior pituitary cells from female rats
Bin-feng DONG
Zhong Xi Yi Jie He Xue Bao , 2007,
Abstract: Objective: To investigate the effects of Erxian Decoction (EXD), a traditional Chinese compound herbal medicine and its separate prescriptions such as Wenshen Yijing Recipe (WSYJR, a recipe for warming kidney and replenishing essence), Ziyin Xiehuo Recipe (ZYXHR, a recipe for nourishing yin and dispersing fire) and Tiaoli Chongren Recipe (TLCRR, a recipe for regulating thoroughfare and conception vessels) and some extracts from EXD on the levels of LH and FSH in the primary cultured anterior pituitary cells from female rats.Methods: EXD, its separate prescriptions and traditional Chinese herbal extracts from EXD were added directly to the incubators. The levels of LH and FSH were tested by radioimmunoassay.Results: The levels of LH and FSH in the supernatant of anterior pituitary cells treated by EXD or its separate prescriptions including ZYXHR and TLCRR were increased significantly as compared with those in the blank control. There was a tendency for stimulating the secretions of LH and FSH in the WSYJR-treated group too. Dimethyl sulfoxide as the solvent of icariin and curculigoside could interfere with the results.Conclusion: EXD and its separate prescriptions such as ZYXHR and TLCRR can increase the levels of LH and FSH significantly.
A Dynamic Social Network Data Publishing Algorithm Based on Differential Privacy  [PDF]
Zhenpeng Liu, Yawei Dong, Xuan Zhao, Bin Zhang
Journal of Information Security (JIS) , 2017, DOI: 10.4236/jis.2017.84021
Social network contains the interaction between social members, which constitutes the structure and attribute of social network. The interactive relationship of social network contains a lot of personal privacy information. The direct release of social network data will cause the disclosure of privacy information. Aiming at the dynamic characteristics of social network data release, a new dynamic social network data publishing method based on differential privacy was proposed. This method was consistent with differential privacy. It is named DDPA (Dynamic Differential Privacy Algorithm). DDPA algorithm is an improvement of privacy protection algorithm in static social network data publishing. DDPA adds noise which follows Laplace to network edge weights. DDPA identifies the edge weight information that changes as the number of iterations increases, adding the privacy protection budget. Through experiments on real data sets, the results show that the DDPA algorithm satisfies the user’s privacy requirement in social network. DDPA reduces the execution time brought by iterations and reduces the information loss rate of graph structure.
Trajectory Rotation Privacy Protection Algorithm Based on k Anonymity  [PDF]
Zhenpeng Liu, Xuan Zhao, Yawei Dong, Bin Zhang
Journal of Computer and Communications (JCC) , 2018, DOI: 10.4236/jcc.2018.62004
Abstract: The frequent use of location query services in location-based services will come out a large amount of space-time data related to users. Attackers infer information of location or track based on these rich background knowledge. Therefore, aiming at the problem of trajectory privacy, the context adds instant traffic monitoring based on user behavior patterns, trajectory similarity and other background information. According to the idea of k anonymity, proposed a method combined with traffic condition to protect the trajectory privacy. First, the user randomly selects a time point of the real trajectory to rotate to generate dummy trajectory, and then repeat the above process on the real trajectory and dummy trajectory. Up to the generation of k 1 dummy trajectory, and according to the actual road conditions and trajectory leakage probability, traversing dummy trajectory to adjust. Finally, it is further proved through experiments that the method will be more efficient and protect privacy well.
Network Hot Topic Discovery of Fuzzy Clustering Based on Improved Firefly Algorithm  [PDF]
Zhenpeng Liu, Jing Dong, Bin Zhang, Mengjie He, Jianmin Xu
Journal of Computer and Communications (JCC) , 2018, DOI: 10.4236/jcc.2018.68001
Abstract: The existing fuzzy clustering algorithm (FCM) is sensitive to the initial center point. And simple clustering of distance can neither discovery hot topics on the Network accurately nor solve the problem of semantic diversity in Chinese. Aiming at these problems, an improved fuzzy clustering method based on dynamic adaptive step firefly algorithm (FA) was proposed. The clustering center was optimized by improved FA, and the FCM was used to complete the final clustering. First, the step length was adjusted adaptively in the current iteration, and the relationship between fireflies was established according to text similarity, then the topic influence value was applied to fuzzy clustering algorithm to improve fitness function optimization. In this process the topic was categorized into the closest class to the cluster center, which can reduce the impact of topic variation. Finally, according to the level of influence value got hot topics. By collecting real data from Sina micro-blog, the effectiveness of the algorithm was verified by experiments, and the accuracy of topic discovery was improved greatly.
Experimental Study on Influencing Factors of Resistance Coefficient and Residual Resistance Coefficient in Oilfield Z  [PDF]
Xinran Wang, Lizhen Ge, Dong Liu, Qin Zhu, Bin Zheng
World Journal of Engineering and Technology (WJET) , 2019, DOI: 10.4236/wjet.2019.72018
Abstract: In order to clarify the major influence factors of resistance coefficient and residual resistance coefficient, so as to provide the basis for optimizing the polymer flooding schemes in oilfield Z of Bohai Sea, artificial cores were made by simulated the characteristic parameters of real reservoir and the spacing of production-injection wells. The main parameters considered include reservoir permeability, polymer solution concentration and polymer injection rate. Core experiment of polymer flooding was taken by considering all the main parameters. The result showed that resistance coefficient and residual resistance coefficient decrease with the increase of core permeability. Resistance coefficient and residual resistance coefficient increase with the increase of concentration of polymer solution. The increment of displacement pressure in low permeability core is higher than in medium and high permeability core. The resistance coefficient increase with higher displacing velocity, and the increment in high permeability core is higher than in low permeability?core. The displacement velocity has little effect on the residual resistance coefficient. The experimental results can effectively guide the formulation of polymer flooding scheme in offshore oilfields, and optimize the appropriate injection rate and concentration of polymer solution for different properties of reservoirs, thus ensuring the effectiveness of polymer flooding in offshore oilfields.
Electrochemical disinfection using the gas di usion electrode system

Wenying Xu,Ping Li,Bin Dong,

环境科学学报(英文版) , 2010,
Abstract: A study on the electrochemical disinfection with H2O2 generated at the gas diffusion electrode(GDE) from active carbon/polytetrafluoroethylene was performed in a non-membrane cell.The effects of Pt load and the pore-forming agent content in GDE,and operating conditions were investigated.The experimental results showed that nearly all bacterial cultures inoculated in the secondary effluent from wastewater treatment plant could be inactivated within 30 min at a current density of 10 mA/cm 2 .The disinfection ...
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