In frequent tree pattern mining, the number of frequent subtrees generated is often too large. To tackle this problem, the concept of condensed frequent subtree base is proposed. The base consists of the maximal frequ...In frequent tree pattern mining, the number of frequent subtrees generated is often too large. To tackle this problem, the concept of condensed frequent subtree base is proposed. The base consists of the maximal frequent subtrees for a series of support thresholds. It is a subset of frequent subtrees, and is used to approximate the support of arbitrary frequent subtrees with guaranteed maximal error bound. In addition, an algorithm is developed to mine such a condensed subtree base in a database of labeled rooted ordered trees. The algorithm adopts the way of fight-most extension to generate systematically all frequent rooted ordered subtrees. Several techniques are proposed to prune the branches that do not correspond to the maximal frequent subtrees. Heuristic techniques are used to arrange the order of computation so that relatively expensive computation is avoided as much as possible. Experimental results show that the size of the base is less than 10% of that of the complete set, and the algorithm outperforms the previous algorithms.展开更多
Some techniques and methods for deriving water information from SPOT-4(XI) image were investigated and discussed in this paper. An algorithm of decision tree (DT) classification which includes several classifiers base...Some techniques and methods for deriving water information from SPOT-4(XI) image were investigated and discussed in this paper. An algorithm of decision tree (DT) classification which includes several classifiers based on the spectral responding characteristics of water bodies and other objects, was developed and put forward to delineate water bodies. Another algorithm of decision tree classification based on both spectral characteristics and auxiliary information of DEM and slope (DTDS) was also designed for water bodies extraction. In addition, supervised classification method of maximum likelyhood classification (MLC), and unsupervised method of interactive self organizing dada analysis technique (ISODATA) were used to extract waterbodies for comparison purpose. An index was designed and used to assess the accuracy of different methods adopted in the research. Results have shown that water extraction accuracy was variable with respect to the various techniques applied. It was low using ISODATA, very high using DT algorithm and much higher using both DTDS and MLC.展开更多
The extracting liquid of gibberellins (Gibberella fujikuroi) from solid medium for was decolorized separately with 75%, 95% alcohol, and distilled water in static adsorption and vibrating way for different durations. ...The extracting liquid of gibberellins (Gibberella fujikuroi) from solid medium for was decolorized separately with 75%, 95% alcohol, and distilled water in static adsorption and vibrating way for different durations. The results showed that the content of GA3 in efflux extracted with alcohol is 10% higher than that with distilled water. With the increase of the durations of extraction, the content of GA3 increases and the dissolution of pigments also increase. For extraction of GA3 cultured in solid medium, the best decolorizing result was obtained when it was extracted with 75%-95% alcohol in static way for 1-3 h, or in a vibrating way for 30-60 min, and then to decolor in a static way for 30-60 min in 122 resin column.展开更多
The hard seed husk and the presence of tannin anti-nutrient in tamarind seeds are an obstacle to its use as animal feed. Soaking as a pretreatment and fermentation can lower the limitations, The aim of this study was ...The hard seed husk and the presence of tannin anti-nutrient in tamarind seeds are an obstacle to its use as animal feed. Soaking as a pretreatment and fermentation can lower the limitations, The aim of this study was to evaluate of dry matter, organic matter and energy content of tamarind seeds using processing method of soaking and fermentation using palm juice. Tamarind seeds were collected then sorted using floating test. The sorted seeds then soaked in water, drained, mixed with palm juice then fermented. The study used a randomized complete design with a 3~3 factorial patem and 3 replications. First factor was length of soaking (W0 = 0 days, W1 = 2 days, and W2 = 4 days), second factor was level of palm juice (L0 = 0% of palm juice, L1 = 20% of palm juice, and L2 = 40% of palm juice), and third factor was length of fermentation (F0 = 0 hours, F1 = 36 hours, F2 = 72 hours, and F3 = 108 hours). Parameters observed were dry matter, organic matter, and energy content. The results showed that there was interaction between soaking time, palm juice level, and fermentation time to dry matter, organic matter, and whole tamarind seed as well as best combination for treatment with 2 days soaking time, 20% palm juice level and fermentation time 72 hours. It is recommended to perform the digestibility test to be applied to pigs.展开更多
In order to improve the accuracy of English teaching quality evaluation, so as to promote the quality of English teaching, an evaluation method of English teaching quality is proposed based on fuzzy comprehensive eval...In order to improve the accuracy of English teaching quality evaluation, so as to promote the quality of English teaching, an evaluation method of English teaching quality is proposed based on fuzzy comprehensive evaluation, the index system model of English teaching quality evaluation is constructed, a decision tree model is used for construction of English teaching quality index model, objective function of English teaching quality evaluation is constructed based on fuzzy decision model, the conjugate function analysis method is used to optimize the decision function, the attributes that can reflect the quality of English Teaching is extracted, accurate evaluation and prediction of English teaching quality are realized. The simulation results show that the method of English teaching quality evaluation is reliable, it has high degree of confidence, evaluation result is accurate.展开更多
[Objective] The aim was to study the microcapsulation of onion oil with double place separation-coacevation and spray drying. [Method] The effect of processing parameters which included the different wall material com...[Objective] The aim was to study the microcapsulation of onion oil with double place separation-coacevation and spray drying. [Method] The effect of processing parameters which included the different wall material combination,the ratio between the wall material,the core material content and the feed concentration on the efficiency and yield of microencapsulated was evaluated by single factor experiments. [Result] Through orthogonal optimization experiments, the optimum condition was as follows: the ratio of Arabic gum and maltodextrin ration was 1∶1, the core content was 25%, feed composition was 18%, and the microencapsulation efficiency and yield can reach 80.7% and 95.3% respectively. [Conclusion] The microcapsulaiton of onion oil with complex coacervation spray drying method can increase membrane thickness, improve core stability and prolong shelf life of products.展开更多
The paper analyze and improve the SIFT optimized algorithm, and proposes an image matching method for SIFT algorithm based on quasi Euclidean distance and KD-tree. Experiments show that this algorithm has matching mor...The paper analyze and improve the SIFT optimized algorithm, and proposes an image matching method for SIFT algorithm based on quasi Euclidean distance and KD-tree. Experiments show that this algorithm has matching more points, high matching accuracy, no repealed points and higher advantage of matching efficiency based on keeping the basic characteristics of SIFT algorithm unchanged, and provides precise matching point to generate precise image stitching and other related fields of the follow-up product. At the same time, this method was applied to the layout optimization and achieved good results.展开更多
Short-term traffic flow prediction is one of the essential issues in intelligent transportation systems(ITS). A new two-stage traffic flow prediction method named AKNN-AVL method is presented, which combines an advanc...Short-term traffic flow prediction is one of the essential issues in intelligent transportation systems(ITS). A new two-stage traffic flow prediction method named AKNN-AVL method is presented, which combines an advanced k-nearest neighbor(AKNN)method and balanced binary tree(AVL) data structure to improve the prediction accuracy. The AKNN method uses pattern recognition two times in the searching process, which considers the previous sequences of traffic flow to forecast the future traffic state. Clustering method and balanced binary tree technique are introduced to build case database to reduce the searching time. To illustrate the effects of these developments, the accuracies performance of AKNN-AVL method, k-nearest neighbor(KNN) method and the auto-regressive and moving average(ARMA) method are compared. These methods are calibrated and evaluated by the real-time data from a freeway traffic detector near North 3rd Ring Road in Beijing under both normal and incident traffic conditions.The comparisons show that the AKNN-AVL method with the optimal neighbor and pattern size outperforms both KNN method and ARMA method under both normal and incident traffic conditions. In addition, the combinations of clustering method and balanced binary tree technique to the prediction method can increase the searching speed and respond rapidly to case database fluctuations.展开更多
The spectrum of weighted graphs are often used to solve the problems in the design of networks and electronic circuits. In this paper, we derive the sharp upper bound of spectral radius of all weighted trees on given ...The spectrum of weighted graphs are often used to solve the problems in the design of networks and electronic circuits. In this paper, we derive the sharp upper bound of spectral radius of all weighted trees on given order and edge independence number, and obtain all such trees that their spectral radius reach the upper bound.展开更多
Stimuli-responsive drug delivery systems based on polymeric micelles can achieve controlled drug release to improve the therapeutic outcome and reduce unwanted systematic toxicity and side effects of the cytotoxic dru...Stimuli-responsive drug delivery systems based on polymeric micelles can achieve controlled drug release to improve the therapeutic outcome and reduce unwanted systematic toxicity and side effects of the cytotoxic drug in chemotherapy but often face challenging synthesis and purification of functionalized biocompatible polymer materials and low drug loading efficiency. In the present study, we reported a novel redox-responsive self-assembly polymeric micelle system, mPEG-β-CD/Ad-SS-CPT, to achieve high loading efficiency and selective delivery of camptothecin(CPT) in a reductive environment inside cancer cells. The host-guest supramolecular micelles utilized a simple β-CD modified PEG, mPEG-β-cyclodextrin(mPEG-β-CD), as the polymeric host with the ease of synthesis and purification. The guest prodrug Ad-SS-CPT contained the disulfide bond as the redox sensitivity group. The selective cleavage of disulfide bond and subsequent drug release in a reductive environment could potentially reduce system toxicity and improve the therapeutic outcome of CPT. In vitro studies showed that the micelles exhibited excellent cytotoxicity against He La cells comparable to the free drug. The host-guest polymeric micelles also showed great potentials for multi-drug co-delivery. Collectively, our current findings provided a general and convenient approach to design drug delivery systems based on stimuli-responsive polymeric micelles for disease treatment.展开更多
文摘In frequent tree pattern mining, the number of frequent subtrees generated is often too large. To tackle this problem, the concept of condensed frequent subtree base is proposed. The base consists of the maximal frequent subtrees for a series of support thresholds. It is a subset of frequent subtrees, and is used to approximate the support of arbitrary frequent subtrees with guaranteed maximal error bound. In addition, an algorithm is developed to mine such a condensed subtree base in a database of labeled rooted ordered trees. The algorithm adopts the way of fight-most extension to generate systematically all frequent rooted ordered subtrees. Several techniques are proposed to prune the branches that do not correspond to the maximal frequent subtrees. Heuristic techniques are used to arrange the order of computation so that relatively expensive computation is avoided as much as possible. Experimental results show that the size of the base is less than 10% of that of the complete set, and the algorithm outperforms the previous algorithms.
文摘Some techniques and methods for deriving water information from SPOT-4(XI) image were investigated and discussed in this paper. An algorithm of decision tree (DT) classification which includes several classifiers based on the spectral responding characteristics of water bodies and other objects, was developed and put forward to delineate water bodies. Another algorithm of decision tree classification based on both spectral characteristics and auxiliary information of DEM and slope (DTDS) was also designed for water bodies extraction. In addition, supervised classification method of maximum likelyhood classification (MLC), and unsupervised method of interactive self organizing dada analysis technique (ISODATA) were used to extract waterbodies for comparison purpose. An index was designed and used to assess the accuracy of different methods adopted in the research. Results have shown that water extraction accuracy was variable with respect to the various techniques applied. It was low using ISODATA, very high using DT algorithm and much higher using both DTDS and MLC.
文摘The extracting liquid of gibberellins (Gibberella fujikuroi) from solid medium for was decolorized separately with 75%, 95% alcohol, and distilled water in static adsorption and vibrating way for different durations. The results showed that the content of GA3 in efflux extracted with alcohol is 10% higher than that with distilled water. With the increase of the durations of extraction, the content of GA3 increases and the dissolution of pigments also increase. For extraction of GA3 cultured in solid medium, the best decolorizing result was obtained when it was extracted with 75%-95% alcohol in static way for 1-3 h, or in a vibrating way for 30-60 min, and then to decolor in a static way for 30-60 min in 122 resin column.
文摘The hard seed husk and the presence of tannin anti-nutrient in tamarind seeds are an obstacle to its use as animal feed. Soaking as a pretreatment and fermentation can lower the limitations, The aim of this study was to evaluate of dry matter, organic matter and energy content of tamarind seeds using processing method of soaking and fermentation using palm juice. Tamarind seeds were collected then sorted using floating test. The sorted seeds then soaked in water, drained, mixed with palm juice then fermented. The study used a randomized complete design with a 3~3 factorial patem and 3 replications. First factor was length of soaking (W0 = 0 days, W1 = 2 days, and W2 = 4 days), second factor was level of palm juice (L0 = 0% of palm juice, L1 = 20% of palm juice, and L2 = 40% of palm juice), and third factor was length of fermentation (F0 = 0 hours, F1 = 36 hours, F2 = 72 hours, and F3 = 108 hours). Parameters observed were dry matter, organic matter, and energy content. The results showed that there was interaction between soaking time, palm juice level, and fermentation time to dry matter, organic matter, and whole tamarind seed as well as best combination for treatment with 2 days soaking time, 20% palm juice level and fermentation time 72 hours. It is recommended to perform the digestibility test to be applied to pigs.
文摘In order to improve the accuracy of English teaching quality evaluation, so as to promote the quality of English teaching, an evaluation method of English teaching quality is proposed based on fuzzy comprehensive evaluation, the index system model of English teaching quality evaluation is constructed, a decision tree model is used for construction of English teaching quality index model, objective function of English teaching quality evaluation is constructed based on fuzzy decision model, the conjugate function analysis method is used to optimize the decision function, the attributes that can reflect the quality of English Teaching is extracted, accurate evaluation and prediction of English teaching quality are realized. The simulation results show that the method of English teaching quality evaluation is reliable, it has high degree of confidence, evaluation result is accurate.
基金Supported by the Scientific Research Program for PostgraduateStudent in Weinan Normal Unviersity( 12YKZ040)
文摘[Objective] The aim was to study the microcapsulation of onion oil with double place separation-coacevation and spray drying. [Method] The effect of processing parameters which included the different wall material combination,the ratio between the wall material,the core material content and the feed concentration on the efficiency and yield of microencapsulated was evaluated by single factor experiments. [Result] Through orthogonal optimization experiments, the optimum condition was as follows: the ratio of Arabic gum and maltodextrin ration was 1∶1, the core content was 25%, feed composition was 18%, and the microencapsulation efficiency and yield can reach 80.7% and 95.3% respectively. [Conclusion] The microcapsulaiton of onion oil with complex coacervation spray drying method can increase membrane thickness, improve core stability and prolong shelf life of products.
文摘The paper analyze and improve the SIFT optimized algorithm, and proposes an image matching method for SIFT algorithm based on quasi Euclidean distance and KD-tree. Experiments show that this algorithm has matching more points, high matching accuracy, no repealed points and higher advantage of matching efficiency based on keeping the basic characteristics of SIFT algorithm unchanged, and provides precise matching point to generate precise image stitching and other related fields of the follow-up product. At the same time, this method was applied to the layout optimization and achieved good results.
基金Project(2012CB725403)supported by the National Basic Research Program of ChinaProjects(71210001,51338008)supported by the National Natural Science Foundation of ChinaProject supported by World Capital Cities Smooth Traffic Collaborative Innovation Center and Singapore National Research Foundation Under Its Campus for Research Excellence and Technology Enterprise(CREATE)Programme
文摘Short-term traffic flow prediction is one of the essential issues in intelligent transportation systems(ITS). A new two-stage traffic flow prediction method named AKNN-AVL method is presented, which combines an advanced k-nearest neighbor(AKNN)method and balanced binary tree(AVL) data structure to improve the prediction accuracy. The AKNN method uses pattern recognition two times in the searching process, which considers the previous sequences of traffic flow to forecast the future traffic state. Clustering method and balanced binary tree technique are introduced to build case database to reduce the searching time. To illustrate the effects of these developments, the accuracies performance of AKNN-AVL method, k-nearest neighbor(KNN) method and the auto-regressive and moving average(ARMA) method are compared. These methods are calibrated and evaluated by the real-time data from a freeway traffic detector near North 3rd Ring Road in Beijing under both normal and incident traffic conditions.The comparisons show that the AKNN-AVL method with the optimal neighbor and pattern size outperforms both KNN method and ARMA method under both normal and incident traffic conditions. In addition, the combinations of clustering method and balanced binary tree technique to the prediction method can increase the searching speed and respond rapidly to case database fluctuations.
基金the National Natural Science Foundation of China (No. 10871204).
文摘The spectrum of weighted graphs are often used to solve the problems in the design of networks and electronic circuits. In this paper, we derive the sharp upper bound of spectral radius of all weighted trees on given order and edge independence number, and obtain all such trees that their spectral radius reach the upper bound.
基金National Key Research and Development Program of China (Grant No. 2019YFA0904800)Science and Technology Commission of Shanghai Municipality (Grant No. 11DZ2260600 and 10DZ2220500)Shanghai Natural Science Fund (Grant No. 20ZR1414700)。
文摘Stimuli-responsive drug delivery systems based on polymeric micelles can achieve controlled drug release to improve the therapeutic outcome and reduce unwanted systematic toxicity and side effects of the cytotoxic drug in chemotherapy but often face challenging synthesis and purification of functionalized biocompatible polymer materials and low drug loading efficiency. In the present study, we reported a novel redox-responsive self-assembly polymeric micelle system, mPEG-β-CD/Ad-SS-CPT, to achieve high loading efficiency and selective delivery of camptothecin(CPT) in a reductive environment inside cancer cells. The host-guest supramolecular micelles utilized a simple β-CD modified PEG, mPEG-β-cyclodextrin(mPEG-β-CD), as the polymeric host with the ease of synthesis and purification. The guest prodrug Ad-SS-CPT contained the disulfide bond as the redox sensitivity group. The selective cleavage of disulfide bond and subsequent drug release in a reductive environment could potentially reduce system toxicity and improve the therapeutic outcome of CPT. In vitro studies showed that the micelles exhibited excellent cytotoxicity against He La cells comparable to the free drug. The host-guest polymeric micelles also showed great potentials for multi-drug co-delivery. Collectively, our current findings provided a general and convenient approach to design drug delivery systems based on stimuli-responsive polymeric micelles for disease treatment.