Diagnosis Related Group (DRG) systems aim to classify patients into mutually exclusive groups of patients, with the patients in each group having the same expected length of stay (LOS). We examined the ability of curr...
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Diagnosis Related Group (DRG) systems aim to classify patients into mutually exclusive groups of patients, with the patients in each group having the same expected length of stay (LOS). We examined the ability of current classification variables to explain LOS variation between DRG-like Diagnosis Treatment Combination (DBC)s for ten episodes of care in the Netherlands, including breast cancer, stroke and inguinal hernia repair. Additionally, we assessed the predictive ability of some other classification variables. For each episode of care, the relevant DBC codes of all hospitalizations in 2008 were identified and all available determinants that may serve as classification variables were acquired from the national database. Ordinary least squares regression was used to examine the predictive ability of these classification variables. The current classification variables are not sufficiently distinct to classify patients into mutually exclusive groups of patients. ICU admissions and hospital type may serve as valuable classification variables. Additionally, episode-specific variables may improve the Dutch grouping algorithm. Although it may not be feasible in the short term, grouping algorithms would benefit greatly from the introduction of classification variables tailored to the needs of specific episodes of care. A first step would be to focus on 'general' classification variables meaningful for specific episodes of care.
Recent work has highlighted how consideration of learning styles in the process of group formation for collaborative learning can have a positive impact. This paper investigates the performance of similar learning sty...
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ISBN:
(纸本)9781479903733
Recent work has highlighted how consideration of learning styles in the process of group formation for collaborative learning can have a positive impact. This paper investigates the performance of similar learning style groups and diverse learning style groups in group work, and explores how a grouping algorithm based on students' learning styles affects students' learning achievements and processes. An empirical study with current undergraduate students in the UK has been conducted. The participating students were invited to accomplish two group discussion tasks. Each student performed the two activities, in a separate group each time, once in a group consisting of students with similar learning styles, once in a group with diverse learning styles. No volunteer shared both groups with any individual student. This paper focuses on analysing the learning achievements and collaboration processes for the two types of groups, particularly with respect to the quality of group interactions. A significant difference was found between the percentages of time spent on meaningful interactions by the two types of groups, revealing that diverse learning style groups tend to spend significantly more time on meaningful interactions than similar learning style groups. In addition, the diverse learning style groups had demonstrated significantly less negative social-emotional reactions in showing disagreements.
Cloud computing is the next generation of computing paradigm. Along with cloud computing, many related problems come up. And these problems in turn slow the speed of the development of cloud computing down. Among thes...
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ISBN:
(纸本)9780769548647;9781467330275
Cloud computing is the next generation of computing paradigm. Along with cloud computing, many related problems come up. And these problems in turn slow the speed of the development of cloud computing down. Among these problems, e.g. interoperability and privacy, identity management and security are strong concerned. Many researchers and enterprises have already done a lot to optimize the identity management and strengthen the security in cloud computing. Most of these studies focus on the usability of identity management and various kinds of method to help improve security. But in this paper, we do some research from a new angle. While the federated solution of identity management helps relieve many problems, it's adopted by many platforms and enterprises. The general approach for deploying identity management is a centralized component processing authentication and authorization requests. But with the cloud growing in scale and the increasing number of users, this centralized solution will be the bottleneck of the cloud. In this paper, we propose a decentralized approach for implementing identity management in service oriented architecture in cloud computing and a grouping algorithm as the deploy strategy. Security is another problem involved in this paper. Since many researchers have done many detailed and fruitful studies in security, the security solution illustrated in this paper is specific in the proposed architecture.
We share the details of a simple algorithm which groups students based on diversity in gender and race while keeping the group average CGPA nearly equal. Application on simulated and actual class profiles gave multipl...
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We share the details of a simple algorithm which groups students based on diversity in gender and race while keeping the group average CGPA nearly equal. Application on simulated and actual class profiles gave multiple-feasible solutions within seconds, with a maximum absolute deviation in group average CGPA of 0.03/4.00 or lower. (C) 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 19: 582-590, 2011;View this article online at ***/journal/cae;DOI 10.1002/cae.20338
In RF applications, tag orientation and collision that occurred when reader identify many tags at the same time are the main problems difficult to be solved. Identification and positioning to tags will be the main app...
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ISBN:
(纸本)9783037850046
In RF applications, tag orientation and collision that occurred when reader identify many tags at the same time are the main problems difficult to be solved. Identification and positioning to tags will be the main application in the further too. To solve the problem, a variety of algorithms have been proposed and obtained many good results. This paper gave a new idea to solve the problem from the tag side rather than algorithm, the main method is to add some transistors to the tag circuit. The circuit can supply high accurate location information to tags and then assist the reader to know their location;in tag identification the circuit can help part the tags in several groups according their different position. In the groups using corresponding grouping algorithm can enhance the anti-collision efficiency. The simulations in this paper have improved the added circuit is helpful to the accuracy of tag orientation and efficiency of multi-tag identification. From the detail redesign scheme we can conclude there is almost no increase in costs for the improvement of tags and the production process is easy, having well economic and feasibility.
An automatic detector that finds circular dining plates in chronically recorded images or videos is reported for the study of food intake and obesity. We first detect edges from input images. After a number of process...
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ISBN:
(纸本)9781424441242
An automatic detector that finds circular dining plates in chronically recorded images or videos is reported for the study of food intake and obesity. We first detect edges from input images. After a number of processing steps that convert edges into curves, arc filtering and grouping algorithms are applied. Then, convex hulls are identified and the ones that fit the description of ellipses corresponding to dining plates are determined. Our experiments using real-world images indicate that this detector is highly reliable and robust even when the input images contain complex background scenes and the dining plates are severely occluded.
The K-coverage configuration guarantees that each location in an area is covered by at least K wireless sensors. To prolong the system lifetime, how to design an efficient sleep-scheduling algorithm have been attracte...
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ISBN:
(纸本)9788955191387
The K-coverage configuration guarantees that each location in an area is covered by at least K wireless sensors. To prolong the system lifetime, how to design an efficient sleep-scheduling algorithm have been attracted much attention. Many studies cannot maximize the system lifetime, while ensuring the K-coverage configuration. In this paper, we classify wireless sensors into groups, in which each group is K-covered with the minimum overlap among sensors. Different from the previous studies, our algorithm further reduces the cost of maintaining connectivity among sensors and the latency of reporting events. Experimental results demonstrate the efficiency and accuracy of our algorithm.
In this paper we present a scheme for reducing the amount of synchronization overhead needed between components, after HW/SW partitioning, to preserve the original control flow of the specification. Since tra c betwee...
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ISBN:
(纸本)0780387368
In this paper we present a scheme for reducing the amount of synchronization overhead needed between components, after HW/SW partitioning, to preserve the original control flow of the specification. Since tra c between components is expensive, our scheme can significantly enhance the performance of the system implementation. Our optimization technique dynamically groups the tasks in the specification such that synchronization for different tasks can be shared. The grouping depends on the partitioning decision, and hence, is performed during the generation of the partitioned model. We apply our grouping algorithm for various partitions on system level models of industry standard designs. The experimental results show significant reduction in synchronization overhead compared to the unoptimized model.
In this paper, a reconfigurable pipeline analog-to-digital converter (ADC) architecture is proposed. Based on dynamic performance measurements, the best performance configuration will be chosen from a collection of po...
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In this paper, a reconfigurable pipeline analog-to-digital converter (ADC) architecture is proposed. Based on dynamic performance measurements, the best performance configuration will be chosen from a collection of possible configurations. A 40-MSample/s 9-b reconfigurable pipeline ADC is designed and implemented in Taiwan Semiconductor Manufacturing Corporation's (TSMC's) 0.25-mum single-poly CMOS digital process. The chip is measured for all the configurations under different temperatures to prove the reconfiguration will provide significant effective number of bits (ENOB) improvement among the set of configurations. The active area of the design is 5.9 mm(2).. The power consumption is 425 mW.
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