It is well-known that rough set theory can be applied successfully to rough classification and knowledge discovery. Our work is concerned with finding methods for using rough sets to identify classes in datasets, find...It is well-known that rough set theory can be applied successfully to rough classification and knowledge discovery. Our work is concerned with finding methods for using rough sets to identify classes in datasets, finding dependencies in relations and discovering rules which are hidden in databases by means of decision tables and algorithm D. We use these methods to analyze and control aspects of nuclear energy generation.展开更多
The rapid technological convergence between Internet of Things （loT）, Wireless Body Area Networks （WBANs） and cloud computing has made e-healthcare emerge as a promising application domain, which has significant p...The rapid technological convergence between Internet of Things （loT）, Wireless Body Area Networks （WBANs） and cloud computing has made e-healthcare emerge as a promising application domain, which has significant potential to improve the quality of medical care. In particular, patient-centric health monitoring plays a vital role in e-healthcare service, involving a set of important operations ranging from medical data collection and aggregation, data transmission and segregation, to data analytics. This survey paper firstly presents an architectural framework to describe the entire monitoring life cycle and highlight the essential service components. More detailed discussions are then devoted to {／em data collection} at patient side, which we argue that it serves as fundamental basis in achieving robust, efficient, and secure health monitoring. Subsequently, a profound discussion of the security threats targeting eHealth monitoring systems is presented, and the major limitations of the existing solutions are analyzed and extensively discussed. Finally, a set of design challenges is identified in order to achieve high quality and secure patient-centric monitoring schemes, along with some potential solutions.展开更多
A cooling trend in wintertime surface air temperature over continental Eurasia has been identified in reanalysis and the Coupled Model Inter-comparison Project phase 5(CMIP5)‘historical’simulations over the period 1...A cooling trend in wintertime surface air temperature over continental Eurasia has been identified in reanalysis and the Coupled Model Inter-comparison Project phase 5(CMIP5)‘historical’simulations over the period 1989–2009.Here the authors have shown that this cooling trend is related to changes in Arctic sea-ice around the Barents-Kara seas.This study illustrates a consistent spatial and temporal structure of the wintertime temperature variability centered over Asia using state-of-the-art reanalyses and global climate model datasets.Our findings indicate that there is a physical basis for seasonal predictions of near-surface temperatures over continental Asia based on changes to the ice-cover in the Barents-Kara seas.展开更多
Objective： To explore the effect of PDCA-cycle in improving time-out compliance rate and improvement in quality and safety management of surgery. Methods： We improved time-out compliance rate by using PDCA-cycle （a...Objective： To explore the effect of PDCA-cycle in improving time-out compliance rate and improvement in quality and safety management of surgery. Methods： We improved time-out compliance rate by using PDCA-cycle （a quality improvement tools）. Data were collected before and after the implementation of PDCA-cycle. The results were analyzed. Results： After implementation of PDCA-cycle, over all time-out compliance rate was increased from 80% to 99.8% （P=0.000）. The compliance rate of identifying patient, performing site marking before surgery, verification of correct-site and correct procedure were increased from 85.1%, 79.2%, 89.7% and 89.1% to 99.8%, 99.9%, 100% and 100% （P〈0.05） respectively. Conclusion： Our study validated the PDCA-cycle methodology improves time-out compliance rate, and it is one of the most effective quality improvement tools for hospital management.展开更多
It is helpful for people to understand the essence of rough set theory to study the concepts and operations of rough set theory from its information view. In this paper we address knowledge expression and knowledge re...It is helpful for people to understand the essence of rough set theory to study the concepts and operations of rough set theory from its information view. In this paper we address knowledge expression and knowledge reduction in incomplete infolvnation systems from the information view of rough set theory. First, by extending information entropy-based measures in complete information systems, two new measures of incomplete entropy and incomplete conditional entropy are presented for incomplete information systems. And then, based on these measures the problem of knowledge reduction in incomplete information systems is analyzed and the reduct definitions in incomplete information system and incomplete decision table are proposed respectively. Finally, the reduct definitions based on incomplete entropy and the reduct definitions based on similarity relation are compared. Two equivalent relationships between them are proved by theorems and an in equivalent relationship between them is illustrated by an example. The work of this paper extends the research of rough set theory from information view to incomplete information systems and establishes the theoretical basis for seeking efficient algorithm of knowledge acquisition in incomplete information systems.展开更多
This paper focuses on Malaysian Muslims perspective towards food safety, environment and animal welfare aspects of Halal principles in manufactured foods. Cross-sectional consumer data were collected through a survey....This paper focuses on Malaysian Muslims perspective towards food safety, environment and animal welfare aspects of Halal principles in manufactured foods. Cross-sectional consumer data were collected through a survey. One thousand seven hundreds and sixteen （1,716） Muslim respondents all over Peninsular Malaysia were interviewed randomly via structured questionnaire in 2009 to address the issues on Muslim consumers＇ understanding and perspective of Halal principles and its relation to food safety, environmentally friendly and animal welfare. Descriptive and Chi-square analysis were used to analyze the data collected. The findings revealed that majority of respondent relate Halal principles to food safety because Halal principle not only about slaughtering of animals but must also be Tyoibah or clean. The consumers from East of Peninsular Malaysia, with higher level religiosity and education level are more likely to understand the true meaning of Halal principles, Measuring the extent of consumers＇ understanding of Halal principles is vital, since Halal does not only focus on the Islamic processing but also sustainable concept of hygiene, sanitation and safety.展开更多
As the opportunities offered, most individuals and businesses feel that E-banking energies are great. Thus, threats are unavoidable to banks if they fail to identify consequences and vulnerabilities accompanying e-ban...As the opportunities offered, most individuals and businesses feel that E-banking energies are great. Thus, threats are unavoidable to banks if they fail to identify consequences and vulnerabilities accompanying e-banking practices. The usage rate of e-banking in a top international commercial bank in Malaysia is rather diminutive compare to its other bases in countries like Singapore, China and India. Interestingly, it is on decreasing mode year by year. This study aimed to offer a good set of information of the factors influencing low usage and possibilities to suggest ways to increase the usage among the bank customers. In this study, a comprehensive survey data gathering were used to collect and analyze the respondents and results indicate that ease of use is the most significant contributor to the low usage. 204 valid feedbacks were obtained from the SCM bank＇s customers, with the research indicating that e-banking still has a gap to fill between customers, the bank and the e-system in maximizing the desire of existing clients to go over the net.展开更多
Data assimilation is the process by which measurements and model predictions are combined to obtain an accurate representation of the state of the modeled system. We implemented a data assimilation scheme called LETKF...Data assimilation is the process by which measurements and model predictions are combined to obtain an accurate representation of the state of the modeled system. We implemented a data assimilation scheme called LETKF （local ensemble transform Kalman filter） with FSUGSM （Florida State University Global Spectral Model） and made an experiment to evaluate the initial condition generated to numerical weather prediction to FSUGSM model. The LETKF analysis carries out independently at each grid point with the use of ＂local＂ observations. An ensemble of estimates in state space represents uncertainty. The FSUGSM is a multilevel （27 vertical levels） spectral primitive equation model, where the variables are expanded horizontally in a truncated series of spherical harmonic functions （at resolution T63） and a transform technique is applied to calculate the physical processes in real space The assimilation cycle runs on the period 01/01/2001 to 31/01/2001 at （00, 06, 12 and 18 GMT） for each day. We examined the atmospheric fields during the period and the OMF （observation-minus-forecast） and the OMA （observation-minus-analysis） statistics to verify the analysis quality comparing with forecasts and observations. The analyses present stability and show suitable to initiate the weather predictions.展开更多
TCMs （traffic calming measures） are commonly installed in order to reduce speeds and volumes of traffic to acceptable levels and, thus, improve traffic safety as well as environmental impact when designed appropriat...TCMs （traffic calming measures） are commonly installed in order to reduce speeds and volumes of traffic to acceptable levels and, thus, improve traffic safety as well as environmental impact when designed appropriately as a corridor or aerial implementation with proper spacing. Hence in many previous studies, their impact was mainly evaluated in scope of average and 85th percentile speed reduction. This paper presents and appraises the efficiency of calming measures of various types used in the city of Bialystok, Poland in terms of their influence zone. The assessment is based on speed profiles derived from individual test rides conducted with test vehicle equipped with GPS （global positioning system） data logger to obtain vehicle trajectory data. Speed measurements were conducted in vicinity of most commonly installed calming measures such as speed cameras, raised pedestrian crossing, raised intersection, speed bumps and speed cushion. The results reveal great differences within analysed devices and the usefulness of speed profiles in evaluation of their effectiveness. Speed bumps, most frequently used device in practice due to their low cost installation and speed reduction effectiveness, demonstrate lowest usefulness when influence zone is considered.展开更多
Previous studies have shown that for the Supernova Legacy Survey three-year （SNLS3） data there is strong evidence for the redshifl- evolution of color-luminosity parameter β of type Ia supernovae （SN Ia）. In this...Previous studies have shown that for the Supernova Legacy Survey three-year （SNLS3） data there is strong evidence for the redshifl- evolution of color-luminosity parameter β of type Ia supernovae （SN Ia）. In this paper, we explore the effects of varying β on the cosmological constraints of holographic dark energy （HDE） model. In addition to the SNLS3 data, we also use Planck distance prior data of cosmic microwave background （CMB）, as well as galaxy clustering （GC） data extracted from Sloan Digital Sky Survey （SDSS） data release 7 and Baryon Oscillation Spectroscopic Survey （BOSS）. We find that, for the both cases of using SN data alone and using SN＋CMB＋GC data, involving an additional parameter of β can reduce χ^2 by - 36; this shows that β deviates from a constant at 6σ- confidence levels. Adopting SN＋CMB＋GC data, we find that compared to the constant β case, varying β yields a larger fractional matter density Ωm0 and a smaller reduced Hubble constant h; moreover, varying β significantly increases the value of HDE model parameter c, leading to c ≈ 0.8, consistent with the constraint results obtained before Planck. These results indicate that the evolution of β should be taken into account seriously in the cosmological fits. In addition, we find that relative to the differences between the constant β and varying β（z） cases, the effects of different light-curve fitters on parameter estimation are very small.展开更多
In the daily life,people often repeat regular routes in certain periods. In this paper,a mining system is developed to find the continuous route patterns of personal past trips. In order to count the diversity of pers...In the daily life,people often repeat regular routes in certain periods. In this paper,a mining system is developed to find the continuous route patterns of personal past trips. In order to count the diversity of personal moving status,the mining system employs the adaptive GPS data recording and five data filters to guarantee the clean trips data. The mining system uses a client/server architecture to protect personal privacy and to reduce the computational load. The server conducts the main mining procedure but with insufficient information to recover real personal routes. In order to improve the scalability of sequential pattern mining,a novel pattern mining algorithm,continuous route pattern mining(CRPM),is proposed. This algorithm can tolerate the different disturbances in real routes and extract the frequent patterns. Experimental results based on nine persons' trips show that CRPM can extract more than two times longer route patterns than the traditional route pattern mining algorithms.展开更多
文摘It is well-known that rough set theory can be applied successfully to rough classification and knowledge discovery. Our work is concerned with finding methods for using rough sets to identify classes in datasets, finding dependencies in relations and discovering rules which are hidden in databases by means of decision tables and algorithm D. We use these methods to analyze and control aspects of nuclear energy generation.
基金supported,in part,by Science Foundation Ireland grant 10/CE/I1855 to Lero -the Irish Software Engineering Research Centre(www.lero.ie)
文摘The rapid technological convergence between Internet of Things （loT）, Wireless Body Area Networks （WBANs） and cloud computing has made e-healthcare emerge as a promising application domain, which has significant potential to improve the quality of medical care. In particular, patient-centric health monitoring plays a vital role in e-healthcare service, involving a set of important operations ranging from medical data collection and aggregation, data transmission and segregation, to data analytics. This survey paper firstly presents an architectural framework to describe the entire monitoring life cycle and highlight the essential service components. More detailed discussions are then devoted to {／em data collection} at patient side, which we argue that it serves as fundamental basis in achieving robust, efficient, and secure health monitoring. Subsequently, a profound discussion of the security threats targeting eHealth monitoring systems is presented, and the major limitations of the existing solutions are analyzed and extensively discussed. Finally, a set of design challenges is identified in order to achieve high quality and secure patient-centric monitoring schemes, along with some potential solutions.
基金supported by the European Research Council Advanced:Atmospheric planetary boundary layers:Physics,modelling and role in Earth system(Grant No.227915)Norwegian Research Council Projects 196178,227137 and CLIMARC
文摘A cooling trend in wintertime surface air temperature over continental Eurasia has been identified in reanalysis and the Coupled Model Inter-comparison Project phase 5(CMIP5)‘historical’simulations over the period 1989–2009.Here the authors have shown that this cooling trend is related to changes in Arctic sea-ice around the Barents-Kara seas.This study illustrates a consistent spatial and temporal structure of the wintertime temperature variability centered over Asia using state-of-the-art reanalyses and global climate model datasets.Our findings indicate that there is a physical basis for seasonal predictions of near-surface temperatures over continental Asia based on changes to the ice-cover in the Barents-Kara seas.
文摘Objective： To explore the effect of PDCA-cycle in improving time-out compliance rate and improvement in quality and safety management of surgery. Methods： We improved time-out compliance rate by using PDCA-cycle （a quality improvement tools）. Data were collected before and after the implementation of PDCA-cycle. The results were analyzed. Results： After implementation of PDCA-cycle, over all time-out compliance rate was increased from 80% to 99.8% （P=0.000）. The compliance rate of identifying patient, performing site marking before surgery, verification of correct-site and correct procedure were increased from 85.1%, 79.2%, 89.7% and 89.1% to 99.8%, 99.9%, 100% and 100% （P〈0.05） respectively. Conclusion： Our study validated the PDCA-cycle methodology improves time-out compliance rate, and it is one of the most effective quality improvement tools for hospital management.
基金Sponsored by the Youth Natural Science Foundation of Yantai Normal University.
文摘It is helpful for people to understand the essence of rough set theory to study the concepts and operations of rough set theory from its information view. In this paper we address knowledge expression and knowledge reduction in incomplete infolvnation systems from the information view of rough set theory. First, by extending information entropy-based measures in complete information systems, two new measures of incomplete entropy and incomplete conditional entropy are presented for incomplete information systems. And then, based on these measures the problem of knowledge reduction in incomplete information systems is analyzed and the reduct definitions in incomplete information system and incomplete decision table are proposed respectively. Finally, the reduct definitions based on incomplete entropy and the reduct definitions based on similarity relation are compared. Two equivalent relationships between them are proved by theorems and an in equivalent relationship between them is illustrated by an example. The work of this paper extends the research of rough set theory from information view to incomplete information systems and establishes the theoretical basis for seeking efficient algorithm of knowledge acquisition in incomplete information systems.
文摘This paper focuses on Malaysian Muslims perspective towards food safety, environment and animal welfare aspects of Halal principles in manufactured foods. Cross-sectional consumer data were collected through a survey. One thousand seven hundreds and sixteen （1,716） Muslim respondents all over Peninsular Malaysia were interviewed randomly via structured questionnaire in 2009 to address the issues on Muslim consumers＇ understanding and perspective of Halal principles and its relation to food safety, environmentally friendly and animal welfare. Descriptive and Chi-square analysis were used to analyze the data collected. The findings revealed that majority of respondent relate Halal principles to food safety because Halal principle not only about slaughtering of animals but must also be Tyoibah or clean. The consumers from East of Peninsular Malaysia, with higher level religiosity and education level are more likely to understand the true meaning of Halal principles, Measuring the extent of consumers＇ understanding of Halal principles is vital, since Halal does not only focus on the Islamic processing but also sustainable concept of hygiene, sanitation and safety.
文摘As the opportunities offered, most individuals and businesses feel that E-banking energies are great. Thus, threats are unavoidable to banks if they fail to identify consequences and vulnerabilities accompanying e-banking practices. The usage rate of e-banking in a top international commercial bank in Malaysia is rather diminutive compare to its other bases in countries like Singapore, China and India. Interestingly, it is on decreasing mode year by year. This study aimed to offer a good set of information of the factors influencing low usage and possibilities to suggest ways to increase the usage among the bank customers. In this study, a comprehensive survey data gathering were used to collect and analyze the respondents and results indicate that ease of use is the most significant contributor to the low usage. 204 valid feedbacks were obtained from the SCM bank＇s customers, with the research indicating that e-banking still has a gap to fill between customers, the bank and the e-system in maximizing the desire of existing clients to go over the net.
文摘Data assimilation is the process by which measurements and model predictions are combined to obtain an accurate representation of the state of the modeled system. We implemented a data assimilation scheme called LETKF （local ensemble transform Kalman filter） with FSUGSM （Florida State University Global Spectral Model） and made an experiment to evaluate the initial condition generated to numerical weather prediction to FSUGSM model. The LETKF analysis carries out independently at each grid point with the use of ＂local＂ observations. An ensemble of estimates in state space represents uncertainty. The FSUGSM is a multilevel （27 vertical levels） spectral primitive equation model, where the variables are expanded horizontally in a truncated series of spherical harmonic functions （at resolution T63） and a transform technique is applied to calculate the physical processes in real space The assimilation cycle runs on the period 01/01/2001 to 31/01/2001 at （00, 06, 12 and 18 GMT） for each day. We examined the atmospheric fields during the period and the OMF （observation-minus-forecast） and the OMA （observation-minus-analysis） statistics to verify the analysis quality comparing with forecasts and observations. The analyses present stability and show suitable to initiate the weather predictions.
文摘TCMs （traffic calming measures） are commonly installed in order to reduce speeds and volumes of traffic to acceptable levels and, thus, improve traffic safety as well as environmental impact when designed appropriately as a corridor or aerial implementation with proper spacing. Hence in many previous studies, their impact was mainly evaluated in scope of average and 85th percentile speed reduction. This paper presents and appraises the efficiency of calming measures of various types used in the city of Bialystok, Poland in terms of their influence zone. The assessment is based on speed profiles derived from individual test rides conducted with test vehicle equipped with GPS （global positioning system） data logger to obtain vehicle trajectory data. Speed measurements were conducted in vicinity of most commonly installed calming measures such as speed cameras, raised pedestrian crossing, raised intersection, speed bumps and speed cushion. The results reveal great differences within analysed devices and the usefulness of speed profiles in evaluation of their effectiveness. Speed bumps, most frequently used device in practice due to their low cost installation and speed reduction effectiveness, demonstrate lowest usefulness when influence zone is considered.
基金supported by the National Natural Science Foundation of China(Grant Nos.11405024 and 11175042)the Fundamental Research Fundsfor the Central Universities(Grant Nos.N130305007 and N120505003)
文摘Previous studies have shown that for the Supernova Legacy Survey three-year （SNLS3） data there is strong evidence for the redshifl- evolution of color-luminosity parameter β of type Ia supernovae （SN Ia）. In this paper, we explore the effects of varying β on the cosmological constraints of holographic dark energy （HDE） model. In addition to the SNLS3 data, we also use Planck distance prior data of cosmic microwave background （CMB）, as well as galaxy clustering （GC） data extracted from Sloan Digital Sky Survey （SDSS） data release 7 and Baryon Oscillation Spectroscopic Survey （BOSS）. We find that, for the both cases of using SN data alone and using SN＋CMB＋GC data, involving an additional parameter of β can reduce χ^2 by - 36; this shows that β deviates from a constant at 6σ- confidence levels. Adopting SN＋CMB＋GC data, we find that compared to the constant β case, varying β yields a larger fractional matter density Ωm0 and a smaller reduced Hubble constant h; moreover, varying β significantly increases the value of HDE model parameter c, leading to c ≈ 0.8, consistent with the constraint results obtained before Planck. These results indicate that the evolution of β should be taken into account seriously in the cosmological fits. In addition, we find that relative to the differences between the constant β and varying β（z） cases, the effects of different light-curve fitters on parameter estimation are very small.
基金supported by the National Natural Science Foundation of China (No. 60703040)the Natural Science Foundation of Zheji- ang Province, China (No. Y107178)
文摘In the daily life,people often repeat regular routes in certain periods. In this paper,a mining system is developed to find the continuous route patterns of personal past trips. In order to count the diversity of personal moving status,the mining system employs the adaptive GPS data recording and five data filters to guarantee the clean trips data. The mining system uses a client/server architecture to protect personal privacy and to reduce the computational load. The server conducts the main mining procedure but with insufficient information to recover real personal routes. In order to improve the scalability of sequential pattern mining,a novel pattern mining algorithm,continuous route pattern mining(CRPM),is proposed. This algorithm can tolerate the different disturbances in real routes and extract the frequent patterns. Experimental results based on nine persons' trips show that CRPM can extract more than two times longer route patterns than the traditional route pattern mining algorithms.
