With the application of the principle of PDCA, and dr awing on the experience of the process methods of the ISO9000 and the system met hods of management, the author analyses the basic requirement to fulfill quality m...With the application of the principle of PDCA, and dr awing on the experience of the process methods of the ISO9000 and the system met hods of management, the author analyses the basic requirement to fulfill quality management system in enterprises. Then the author inquires into the procedure t o establish the efficiency quality management system. Finally four stages (plan, do, check, action) and eight steps (decision, plan, analyze, design, do, check, improve, fulfill) are put forward to fulfill quality management system.展开更多
"Inherited the traditional education"is the main mode of talent cultivation of traditional Chinese medicine and effective way,in order to better promote the heritage and development of TCM cause,1et"fam..."Inherited the traditional education"is the main mode of talent cultivation of traditional Chinese medicine and effective way,in order to better promote the heritage and development of TCM cause,1et"famous old Chinese medicine studio"play in training talents,academic communication,scientific research,service people should have a role to promote the region's traditional Chinese medicine clinical ability,our college of traditional Chinese medicine(TCM)based on a studio conducted to old with the new educational background education,the author use the PDCA circulation method in management of"famous old Chinese medicine studio"education"shicheng"quality management is improved and exploring,significantly improved the team of teachers and students both sides of teaching and learning satisfaction,At the same time,it has effectively promoted the overall level of TCM medical treatment in our hospital.展开更多
Quantification of water quality (WQ) is an integral part of scientifically based water resources management. The main objective of this study was comparative analysis of two approaches applied for quantitative assessm...Quantification of water quality (WQ) is an integral part of scientifically based water resources management. The main objective of this study was comparative analysis of two approaches applied for quantitative assessment of WQ: the trophic level index (TLI) and the Delphi method (DM). We analyzed the following features of these conceptually different approaches: A. similarity of estimates of lake WQ;B. sensitivity to indicating disturbances in the aquatic ecosystem structure and functioning;C. capacity to reflect the impact of major management measures on the quality of water resources. We compared the DM and TLI based on results from a series of lakes covering varying productivity levels, mixing regimes and climatic zones. We assumed that the conservation of aquatic ecosystem in some predefined, “reference”, state is a major objective of sustainable water resources management in the study lakes. The comparison between the two approaches was quantified as a relationship between the DM ranks and respective TLI values. We show that being a classification system, the TLI does not account for specific characteristics of aquatic ecosystems and the array of different potential uses of the water resource. It indirectly assumes that oligotrophication is identical to WQ improvement, and reduction of economic activity within the lake catchment area is the most effective way to improve WQ. WQ assessed with the TLI is more suitable for needs of natural water resources management if eutrophication is a major threat. The DM allows accounting for several water resource uses and therefore it may serve as a more robust and comprehensive tool for WQ quantification and thus for sustainable water resources management.展开更多
On the web it is very frequently found that good papers are published only in“Peer Reviewed Trusted Journals(PRTJ)”,while low quality papers are published in the“Predatory Publishing Journals”.Here we show that th...On the web it is very frequently found that good papers are published only in“Peer Reviewed Trusted Journals(PRTJ)”,while low quality papers are published in the“Predatory Publishing Journals”.Here we show that this is not true,because the quality of papers depends on the quality of the authors in the same manner that quality of teaching depends on the quality of professors.Since generally the authors are professors it is important to see the two sides of the“publishing medal”:authors and professors.We will use the SPQR Principle[《Semper Paratus ad Qualitatem et Rationem(Always Ready for Quality and Rationality)》]as the way to analyse papers,books and teaching;it seems that very few people have taken care of Quality of Methods(Deming,Juran,Gell-Mann,Shewhart,Einstein,Galilei).The cases analysed here are from PRT Journals and teaching documents.展开更多
We advance here a novel methodology for robust intelligent biometric information management with inferences and predictions made using randomness and complexity concepts. Intelligence refers to learning, adap- tation,...We advance here a novel methodology for robust intelligent biometric information management with inferences and predictions made using randomness and complexity concepts. Intelligence refers to learning, adap- tation, and functionality, and robustness refers to the ability to handle incomplete and/or corrupt adversarial information, on one side, and image and or device variability, on the other side. The proposed methodology is model-free and non-parametric. It draws support from discriminative methods using likelihood ratios to link at the conceptual level biometrics and forensics. It further links, at the modeling and implementation level, the Bayesian framework, statistical learning theory (SLT) using transduction and semi-supervised lea- rning, and Information Theory (IY) using mutual information. The key concepts supporting the proposed methodology are a) local estimation to facilitate learning and prediction using both labeled and unlabeled data;b) similarity metrics using regularity of patterns, randomness deficiency, and Kolmogorov complexity (similar to MDL) using strangeness/typicality and ranking p-values;and c) the Cover – Hart theorem on the asymptotical performance of k-nearest neighbors approaching the optimal Bayes error. Several topics on biometric inference and prediction related to 1) multi-level and multi-layer data fusion including quality and multi-modal biometrics;2) score normalization and revision theory;3) face selection and tracking;and 4) identity management, are described here using an integrated approach that includes transduction and boosting for ranking and sequential fusion/aggregation, respectively, on one side, and active learning and change/ outlier/intrusion detection realized using information gain and martingale, respectively, on the other side. The methodology proposed can be mapped to additional types of information beyond biometrics.展开更多
文摘With the application of the principle of PDCA, and dr awing on the experience of the process methods of the ISO9000 and the system met hods of management, the author analyses the basic requirement to fulfill quality management system in enterprises. Then the author inquires into the procedure t o establish the efficiency quality management system. Finally four stages (plan, do, check, action) and eight steps (decision, plan, analyze, design, do, check, improve, fulfill) are put forward to fulfill quality management system.
文摘"Inherited the traditional education"is the main mode of talent cultivation of traditional Chinese medicine and effective way,in order to better promote the heritage and development of TCM cause,1et"famous old Chinese medicine studio"play in training talents,academic communication,scientific research,service people should have a role to promote the region's traditional Chinese medicine clinical ability,our college of traditional Chinese medicine(TCM)based on a studio conducted to old with the new educational background education,the author use the PDCA circulation method in management of"famous old Chinese medicine studio"education"shicheng"quality management is improved and exploring,significantly improved the team of teachers and students both sides of teaching and learning satisfaction,At the same time,it has effectively promoted the overall level of TCM medical treatment in our hospital.
文摘Quantification of water quality (WQ) is an integral part of scientifically based water resources management. The main objective of this study was comparative analysis of two approaches applied for quantitative assessment of WQ: the trophic level index (TLI) and the Delphi method (DM). We analyzed the following features of these conceptually different approaches: A. similarity of estimates of lake WQ;B. sensitivity to indicating disturbances in the aquatic ecosystem structure and functioning;C. capacity to reflect the impact of major management measures on the quality of water resources. We compared the DM and TLI based on results from a series of lakes covering varying productivity levels, mixing regimes and climatic zones. We assumed that the conservation of aquatic ecosystem in some predefined, “reference”, state is a major objective of sustainable water resources management in the study lakes. The comparison between the two approaches was quantified as a relationship between the DM ranks and respective TLI values. We show that being a classification system, the TLI does not account for specific characteristics of aquatic ecosystems and the array of different potential uses of the water resource. It indirectly assumes that oligotrophication is identical to WQ improvement, and reduction of economic activity within the lake catchment area is the most effective way to improve WQ. WQ assessed with the TLI is more suitable for needs of natural water resources management if eutrophication is a major threat. The DM allows accounting for several water resource uses and therefore it may serve as a more robust and comprehensive tool for WQ quantification and thus for sustainable water resources management.
文摘On the web it is very frequently found that good papers are published only in“Peer Reviewed Trusted Journals(PRTJ)”,while low quality papers are published in the“Predatory Publishing Journals”.Here we show that this is not true,because the quality of papers depends on the quality of the authors in the same manner that quality of teaching depends on the quality of professors.Since generally the authors are professors it is important to see the two sides of the“publishing medal”:authors and professors.We will use the SPQR Principle[《Semper Paratus ad Qualitatem et Rationem(Always Ready for Quality and Rationality)》]as the way to analyse papers,books and teaching;it seems that very few people have taken care of Quality of Methods(Deming,Juran,Gell-Mann,Shewhart,Einstein,Galilei).The cases analysed here are from PRT Journals and teaching documents.
文摘We advance here a novel methodology for robust intelligent biometric information management with inferences and predictions made using randomness and complexity concepts. Intelligence refers to learning, adap- tation, and functionality, and robustness refers to the ability to handle incomplete and/or corrupt adversarial information, on one side, and image and or device variability, on the other side. The proposed methodology is model-free and non-parametric. It draws support from discriminative methods using likelihood ratios to link at the conceptual level biometrics and forensics. It further links, at the modeling and implementation level, the Bayesian framework, statistical learning theory (SLT) using transduction and semi-supervised lea- rning, and Information Theory (IY) using mutual information. The key concepts supporting the proposed methodology are a) local estimation to facilitate learning and prediction using both labeled and unlabeled data;b) similarity metrics using regularity of patterns, randomness deficiency, and Kolmogorov complexity (similar to MDL) using strangeness/typicality and ranking p-values;and c) the Cover – Hart theorem on the asymptotical performance of k-nearest neighbors approaching the optimal Bayes error. Several topics on biometric inference and prediction related to 1) multi-level and multi-layer data fusion including quality and multi-modal biometrics;2) score normalization and revision theory;3) face selection and tracking;and 4) identity management, are described here using an integrated approach that includes transduction and boosting for ranking and sequential fusion/aggregation, respectively, on one side, and active learning and change/ outlier/intrusion detection realized using information gain and martingale, respectively, on the other side. The methodology proposed can be mapped to additional types of information beyond biometrics.
