Screening similar historical fault-free candidate data would greatly affect the effectiveness of fault detection results based on principal component analysis(PCA).In order to find out the candidate data,this study co...Screening similar historical fault-free candidate data would greatly affect the effectiveness of fault detection results based on principal component analysis(PCA).In order to find out the candidate data,this study compares unweighted and weighted similarity factors(SFs),which measure the similarity of the principal component subspace corresponding to the first k main components of two datasets.The fault detection employs the principal component subspace corresponding to the current measured data and the historical fault-free data.From the historical fault-free database,the load parameters are employed to locate the candidate data similar to the current operating data.Fault detection method for air conditioning systems is based on principal component.The results show that the weighted principal component SF can improve the effects of the fault-free detection and the fault detection.Compared with the unweighted SF,the average fault-free detection rate of the weighted SF is 17.33%higher than that of the unweighted,and the average fault detection rate is 7.51%higher than unweighted.展开更多
The open and dynamic environment of Internet computing demands new software reliability technologies.How to efficiently and effectively build highly reliable Internet applications becomes a critical research problem.T...The open and dynamic environment of Internet computing demands new software reliability technologies.How to efficiently and effectively build highly reliable Internet applications becomes a critical research problem.This paper proposes a research framework for predicting reliability of individual software entities as well as the whole Internet application.Characteristics of the Internet environment are comprehensively analyzed and several reliability prediction approaches are proposed.A prototype is implemented and practical use of the proposed framework is also demonstrated.展开更多
The purpose of the current investigation was to develop a pharmaceutical equivalent osmotic drug delivery formulation of Paliperidone(PLD)in the form of controlled porosity osmotic pump tablets(CPOT)in order to keep t...The purpose of the current investigation was to develop a pharmaceutical equivalent osmotic drug delivery formulation of Paliperidone(PLD)in the form of controlled porosity osmotic pump tablets(CPOT)in order to keep the drug's steady state concentration in the body.This helps to achieve the greatest therapeutic benefit with the fewest side effects.For the purpose of identifying various formulation attributes,preliminary trials were conducted.Taguchi design was used to study the influence of seven input factors namely drug to polymer ratio,polymer 1(HPMC K100 M)to polymer 2(HPMC K15M),drug to total osmogens,coating level,amount of pore former,concentration of ethyl cellulose and amount of plasticizer on dependent variable similarity factor(f2).Utilizing the Minitab 17,data analysis was done.The similarity factor(f2)was computed using the osmotic tablet reference product INVEGA®.The findings demonstrate that each of the seven independent variables significantly affects the similarity factor.For optimized batch,both core and coated tablets showed acceptable pharmaco-technical parameters.The release profile of the optimized batch tablets was found to be similar to that of reference product with good zero-order release pattern.Drug release was observed through the channels formed by in-situ pores on tablet surface performed using SEM.From the results it can be concluded that prepared CPOT of PLD was found pharmaceutical equivalent with commercial product which is cost effective and fully compliance with cGMP.展开更多
For any element a in a generalized 2^n-dimensional Clifford algebra Lln （F） over an arbitrary field F of characteristic not equal to two, it is shown that there exits a universal invertible matrix Pn over Lln（F） s...For any element a in a generalized 2^n-dimensional Clifford algebra Lln （F） over an arbitrary field F of characteristic not equal to two, it is shown that there exits a universal invertible matrix Pn over Lln（F） such that Pn^-1DnPn= φ（α）∈F^2n×2n, where φ（a） is a matrix representation of α over and Dα is a diagonal matrix consisting of a or its conjugate.展开更多
The major goal of this paper is to isolate tumor region from nontumor regions and the estimation of tumor volume.Accurate segmentation is not an easy task due to the varying size,shape and location of the tumor.After ...The major goal of this paper is to isolate tumor region from nontumor regions and the estimation of tumor volume.Accurate segmentation is not an easy task due to the varying size,shape and location of the tumor.After segmentation,volume estimation is necessary in order to accurately estimate the tumor volume.By exactly estimating the volume of abnormal tissue,physicians can do excellent prognosis,clinical planning and dosage estimation.This paper describes a new Euclidean Similarity factor(ESF)based active contour model with deep learning for segmenting the tumor region into complete,core and enhanced tumor portions.Initially,the ESF considers the spatial distances and intensity differences of the region automatically to detect the tumor region.It preserves the image details but removes the noisy details.Then,the 3D Convolutional Neural Network(3D CNN)segments the tumor by automatically extracting spatiotemporal features.Finally,the extended shoelace method estimates the volume of the tumor accurately for n-sided polygons.The simulation result achieves a high accuracy of 92%and Jaccard index of 0.912 and computes the tumor volume with effective performance than existing approaches.展开更多
Stethoscopes are commonly used to diagnose cardiac and respiratory diseases.The advent of digital stethoscopes added the capability to remotely monitor the cardiorespiratory well-being of patients and facilitate digit...Stethoscopes are commonly used to diagnose cardiac and respiratory diseases.The advent of digital stethoscopes added the capability to remotely monitor the cardiorespiratory well-being of patients and facilitate digital remote auscultations for physicians to examine their patients outside of the clinic.To increase the adoption of a hybrid diagnosis between in-person and remote auscultations,it is important to characterize the frequency response of different configurations of digital stethoscopes.A standard testing platform was adopted from the literature and re-validated by seven physicians.Two wearable and two non-wearable digital stethoscopes were investigated.A similarity factor score was used to analyze select time-synchronized acoustic events that achieved high fidelity between stethoscopes.The frequency responses between devices were compared using the correlation coefficient.Two devices reported the highest correlation coefficient of 0.72 and 0.75 in the wearable and non-wearable categories,respectively.The correlation coefficient of the frequency responses between the same pair of devices on the human chest was 0.91.With such a high agreement in the frequency response between the wearable and non-wearable digital stethoscope,it can be concluded that the configuration of digital stethoscope is not a limiting factor of performance,and both are acceptable and desirable for physicians to adopt either configuration in remote delivery of healthcare.展开更多
Objective To investigate the integral dissolution model based on biological potency in order to evaluate the dissolution of Compound Chinese materia medica（CCMM） in vitro. Methods The contents of paeoniflorin, phill...Objective To investigate the integral dissolution model based on biological potency in order to evaluate the dissolution of Compound Chinese materia medica（CCMM） in vitro. Methods The contents of paeoniflorin, phillyrin, ginsenoside Rg1, and adenosine of ten batches of Compound Biejia Ruangan Tablet（CBRT） were determined at different times. The self-defined weighting coefficient based on the contents has been created to establish the integral dissolution model. In addition, the biological potency of CBRT was measured by MTT assay. Then, the f2 similar factor was used to evaluate the similarity of the batches. Results Compared with batch a, some batches’ f2 values of paeoniflorin and adenosine were less than 50, while f2 values of ginsenoside Rg1, phillyrin, and integral component were more than 50. Likewise, ginsenoside Rg1, phillyrin, and integral component were all in good correlation with biological dissolution. Conclusion The results of the integral dissolution based on biological test of CBRT demonstrate that the bioassay method may be a promising supplement for its quality evaluation.展开更多
With the development of the social media and Internet, discovering latent information from massive information is becoming particularly relevant to improving user experience. Research efforts based on preferences and ...With the development of the social media and Internet, discovering latent information from massive information is becoming particularly relevant to improving user experience. Research efforts based on preferences and relationships between users have attracted more and more attention. Predictive problems, such as inferring friend relationship and co-author relationship between users have been explored. However, many such methods are based on analyzing either node features or the network structures separately, few have tried to tackle both of them at the same time. In this paper, in order to discover latent co-interests＇ relationship, we not only consider users＇ attributes but network information as well. In addition, we propose an Interest-based Factor Graph Model （I-FGM） to incorporate these factors. Experiments on two data sets （bookmarking and music network） demonstrate that this predictive method can achieve better results than the other three methods （ANN, NB, and SVM）.展开更多
基金Research Project of China Ship Development and Design Center。
文摘Screening similar historical fault-free candidate data would greatly affect the effectiveness of fault detection results based on principal component analysis(PCA).In order to find out the candidate data,this study compares unweighted and weighted similarity factors(SFs),which measure the similarity of the principal component subspace corresponding to the first k main components of two datasets.The fault detection employs the principal component subspace corresponding to the current measured data and the historical fault-free data.From the historical fault-free database,the load parameters are employed to locate the candidate data similar to the current operating data.Fault detection method for air conditioning systems is based on principal component.The results show that the weighted principal component SF can improve the effects of the fault-free detection and the fault detection.Compared with the unweighted SF,the average fault-free detection rate of the weighted SF is 17.33%higher than that of the unweighted,and the average fault detection rate is 7.51%higher than unweighted.
基金supported by the National Natural Science Foundation of China(Project No.61472338,61332010)Guangdong Natural Science Foundation(Project No. 2014A030313151)+1 种基金the Fundamental Research Funds for the Central Universitiesthe Research Grants Council of the Hong Kong Special Administrative Region,China (No.415113)
文摘The open and dynamic environment of Internet computing demands new software reliability technologies.How to efficiently and effectively build highly reliable Internet applications becomes a critical research problem.This paper proposes a research framework for predicting reliability of individual software entities as well as the whole Internet application.Characteristics of the Internet environment are comprehensively analyzed and several reliability prediction approaches are proposed.A prototype is implemented and practical use of the proposed framework is also demonstrated.
文摘The purpose of the current investigation was to develop a pharmaceutical equivalent osmotic drug delivery formulation of Paliperidone(PLD)in the form of controlled porosity osmotic pump tablets(CPOT)in order to keep the drug's steady state concentration in the body.This helps to achieve the greatest therapeutic benefit with the fewest side effects.For the purpose of identifying various formulation attributes,preliminary trials were conducted.Taguchi design was used to study the influence of seven input factors namely drug to polymer ratio,polymer 1(HPMC K100 M)to polymer 2(HPMC K15M),drug to total osmogens,coating level,amount of pore former,concentration of ethyl cellulose and amount of plasticizer on dependent variable similarity factor(f2).Utilizing the Minitab 17,data analysis was done.The similarity factor(f2)was computed using the osmotic tablet reference product INVEGA®.The findings demonstrate that each of the seven independent variables significantly affects the similarity factor.For optimized batch,both core and coated tablets showed acceptable pharmaco-technical parameters.The release profile of the optimized batch tablets was found to be similar to that of reference product with good zero-order release pattern.Drug release was observed through the channels formed by in-situ pores on tablet surface performed using SEM.From the results it can be concluded that prepared CPOT of PLD was found pharmaceutical equivalent with commercial product which is cost effective and fully compliance with cGMP.
文摘For any element a in a generalized 2^n-dimensional Clifford algebra Lln （F） over an arbitrary field F of characteristic not equal to two, it is shown that there exits a universal invertible matrix Pn over Lln（F） such that Pn^-1DnPn= φ（α）∈F^2n×2n, where φ（a） is a matrix representation of α over and Dα is a diagonal matrix consisting of a or its conjugate.
文摘The major goal of this paper is to isolate tumor region from nontumor regions and the estimation of tumor volume.Accurate segmentation is not an easy task due to the varying size,shape and location of the tumor.After segmentation,volume estimation is necessary in order to accurately estimate the tumor volume.By exactly estimating the volume of abnormal tissue,physicians can do excellent prognosis,clinical planning and dosage estimation.This paper describes a new Euclidean Similarity factor(ESF)based active contour model with deep learning for segmenting the tumor region into complete,core and enhanced tumor portions.Initially,the ESF considers the spatial distances and intensity differences of the region automatically to detect the tumor region.It preserves the image details but removes the noisy details.Then,the 3D Convolutional Neural Network(3D CNN)segments the tumor by automatically extracting spatiotemporal features.Finally,the extended shoelace method estimates the volume of the tumor accurately for n-sided polygons.The simulation result achieves a high accuracy of 92%and Jaccard index of 0.912 and computes the tumor volume with effective performance than existing approaches.
文摘Stethoscopes are commonly used to diagnose cardiac and respiratory diseases.The advent of digital stethoscopes added the capability to remotely monitor the cardiorespiratory well-being of patients and facilitate digital remote auscultations for physicians to examine their patients outside of the clinic.To increase the adoption of a hybrid diagnosis between in-person and remote auscultations,it is important to characterize the frequency response of different configurations of digital stethoscopes.A standard testing platform was adopted from the literature and re-validated by seven physicians.Two wearable and two non-wearable digital stethoscopes were investigated.A similarity factor score was used to analyze select time-synchronized acoustic events that achieved high fidelity between stethoscopes.The frequency responses between devices were compared using the correlation coefficient.Two devices reported the highest correlation coefficient of 0.72 and 0.75 in the wearable and non-wearable categories,respectively.The correlation coefficient of the frequency responses between the same pair of devices on the human chest was 0.91.With such a high agreement in the frequency response between the wearable and non-wearable digital stethoscope,it can be concluded that the configuration of digital stethoscope is not a limiting factor of performance,and both are acceptable and desirable for physicians to adopt either configuration in remote delivery of healthcare.
基金Major Scientific and Technological Specialized Project for Significant New.Formulation of New Drugs(No.2011ZX09201-201-14)National Natural Science Foundation of China(No.81073069)
文摘Objective To investigate the integral dissolution model based on biological potency in order to evaluate the dissolution of Compound Chinese materia medica（CCMM） in vitro. Methods The contents of paeoniflorin, phillyrin, ginsenoside Rg1, and adenosine of ten batches of Compound Biejia Ruangan Tablet（CBRT） were determined at different times. The self-defined weighting coefficient based on the contents has been created to establish the integral dissolution model. In addition, the biological potency of CBRT was measured by MTT assay. Then, the f2 similar factor was used to evaluate the similarity of the batches. Results Compared with batch a, some batches’ f2 values of paeoniflorin and adenosine were less than 50, while f2 values of ginsenoside Rg1, phillyrin, and integral component were more than 50. Likewise, ginsenoside Rg1, phillyrin, and integral component were all in good correlation with biological dissolution. Conclusion The results of the integral dissolution based on biological test of CBRT demonstrate that the bioassay method may be a promising supplement for its quality evaluation.
基金the National Natural Science Foundation of China (No. 61170192)the Natural Science Foundations of Municipality of Chongqing(No. CSTC2012JJB40012)
文摘With the development of the social media and Internet, discovering latent information from massive information is becoming particularly relevant to improving user experience. Research efforts based on preferences and relationships between users have attracted more and more attention. Predictive problems, such as inferring friend relationship and co-author relationship between users have been explored. However, many such methods are based on analyzing either node features or the network structures separately, few have tried to tackle both of them at the same time. In this paper, in order to discover latent co-interests＇ relationship, we not only consider users＇ attributes but network information as well. In addition, we propose an Interest-based Factor Graph Model （I-FGM） to incorporate these factors. Experiments on two data sets （bookmarking and music network） demonstrate that this predictive method can achieve better results than the other three methods （ANN, NB, and SVM）.
