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Search Results: 1 - 10 of 104633 matches for " Weihua Zhang "
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Lower Approximation Reduction in Ordered Information System with Fuzzy Decision  [PDF]
Xiaoyan Zhang, Weihua Xu
Applied Mathematics (AM) , 2011, DOI: 10.4236/am.2011.27125
Abstract: Attribute reduction is one of the most important problems in rough set theory. This paper introduces the concept of lower approximation reduction in ordered information systems with fuzzy decision. Moreover, the judgment theorem and discernable matrix are obtained, in which case an approach to attribute reduction in ordered information system with fuzzy decision is constructed. As an application of lower approximation reduction, some examples are applied to examine the validity of works obtained in our works..
Rough Computational Approach to UAR based on Dominance Matrix in IOIS  [PDF]
Xiaoyan Zhang, Weihua Xu
Intelligent Information Management (IIM) , 2011, DOI: 10.4236/iim.2011.34016
Abstract: Rough set theory is a new mathematical tool to deal with vagueness and uncertainty. The classical rough set theory based on equivalence relation has made a great progress, while the equivalence relation is too harsh to meet and is extended to dominance relation in real world. It is important to investigate rough computational methods for rough set theory, which is one of the bottleneck problems in the development of rough set theory. In this article, rough computational approach to upper ap-proximation reduction (UAR) is discussed based on dominance matrix in inconsistent ordered information systems (IOIS). The algorithm of upper approximation reduction is obtained, from which we can provide approach to upper approximation reduction operated simply in inconsistent systems based on dominance relations. Finally, an example illustrates the validity of this method, and shows the method is excellent to a complicated information system.
Methods for Lower Approximation Reduction in Inconsistent Decision Table Based on Tolerance Relation  [PDF]
Xiaoyan Zhang, Weihua Xu
Applied Mathematics (AM) , 2013, DOI: 10.4236/am.2013.41024
Abstract: It is well known that most of information systems are based on tolerance relation instead of the classical equivalence relation because of various factors in real-world. To acquire brief decision rules from the information systems, lower approximation reduction is needed. In this paper, the lower approximation reduction is proposed in inconsistent information systems based on tolerance relation. Moreover, the properties are discussed. Furthermore, judgment theorem and discernibility matrix are obtained, from which an approach to lower reductions can be provided in the complicated information systems.

Problem Based Learning in Nursing Education
Weihua Zhang
Advances in Nursing , 2014, DOI: 10.1155/2014/125707
Abstract: Background. McMaster University first introduced Problem Based Learning (PBL) in the mid 1960s. However, measuring the relationship between PBL for undergraduate nursing programs and students test performance has not yet been assessed in the USA. Purpose. The main purpose of this paper is to describe the effectiveness of PBL on senior student test performance on content related to PBL in a BSN program. Diabetes mellitus and renal insufficiency were taught by traditional lecture format in the previous years. This was the first year we taught this content by the problem based learning method. Method. Historical control group was used to compare the test performances between the PBL groups and the traditional group using Student’s t-test. Result. The mean of diabetes mellitus related questions missed by the PBL group was less than the traditional group ( , and ). The mean of renal insufficiency related questions missed by the PBL group was more than the traditional group ( , and ). Discussion. This study produced inconclusive findings. Factors that could be attributed to their performance will be discussed. 1. Introduction McMaster University Medical School conceptualized Problem Based Learning (PBL) which is “the learning that results from the process of working towards the understanding of, or resolution of, a problem” [1]. The core value of PBL is to use a contextualized problem to motivate learners to actively seek relevant knowledge using all possible resources. PBL is intended to equip students with hands-on learning strategies to help them meet their future responsibilities and establish a lifelong knowledge-seeking habit which is self-directed learning. PBL has since been adopted by other medical schools and adapted by other disciplines leading to an assortment of learning and teaching models. Studies indicate that students prefer PBL to traditional lecture formats [2–5]. Numerous studies indicate that the process of learning is different in PBL and PBL challenges students to become self-directed life learners [2, 3, 6]. Few studies have demonstrated the effectiveness of PBL in an undergraduate nursing program on student test performance. This paper reports the effectiveness of PBL by comparing the test performances from the PBL group and the traditional group in an undergraduate nursing program in a private university in the Southeastern United States. 2. Background 2.1. PBL and Learning Styles Lecture based formats tend to promote “surface” learning, where the student is able to reiterate what was covered in the subject-centered material. On the
Older Adults Making End of Life Decisions: An Application of Roy's Adaptation Model
Weihua Zhang
Journal of Aging Research , 2013, DOI: 10.1155/2013/470812
Abstract: Purpose. The purpose of this study was to identify variables that influenced completion of advanced directives in the context of adaptation from national data in older adults. Knowledge gained from this study would help us identify factors that might influence end of life discussions and shed light on strategies on effective communication on advance care planning. Design and Method. A model-testing design and path analysis were used to examine secondary data from 938 participants. Items were extracted from the data set to correspond to variables for this study. Scales were constructed and reliabilities were tested. Results. The final path model showed that physical impairment, self-rated health, continuing to work, and family structure had direct and indirect effects on completion of advanced directives. Five percent of the variance was accounted for by the path analysis. Conclusion. The variance accounted for by the model was small. This could have been due to the use of secondary data and limitations imposed for measurement. However, health care providers and families should explore patient’s perception of self-health as well as their family and work situation in order to strategize a motivational discussion on advance directive or end of life care planning. 1. Introduction Those aged 65 and older represented 35.9 million or 12.3% of the US population in 2003, and this number will reach 19% by the year 2030 [1]. The great majority of deaths (80–85%) occur in this population, and most die from chronic conditions such as heart failure, cancer, obstructive pulmonary disease, diabetes, Alzheimer’s disease, and renal failure [2]. The Institute of Medicine (IOM) noted that while technology continues to increase life expectancy, the quality of life of dying patients has not kept the same pace [3]. Studies indicate that patients’ families are still dissatisfied with end of life care [4–7]. Advance directives (ADs) were seen as a way for individuals to decide on and communicate their end of life care wishes to those who care for them to ensure, more in a legal term, that individuals’ wishes for end of life care are followed. ADs include durable power of attorney and a living will. However, more than 2 decades after passage of the 1991 Patient Self-Determination Act (PSDA) requiring AD discussion on admission to health care institutions, the rate of completion of ADs remains at approximately 29% of the population [8]. Advance care planning is starting to replace the term “advance directives” to make its slow transitioning from a legal model to a tool to enhance
Selection of Landscape Tree Species of Tolerant to Sulfur Dioxide Pollution in Subtropical China  [PDF]
Xizi Zhang, Ping Zhou, Weiqiang Zhang, Weihua Zhang, Yongfeng Wang
Open Journal of Forestry (OJF) , 2013, DOI: 10.4236/ojf.2013.34017

Sulfur dioxide (SO2) is a major air pollutant, especially in developing countries. Many trees are seriously impaired by SO2, while other species can mitigate air pollution by absorbing this gas. Planting appropriate tree species near industrial complexes is critical for aesthetic value and pollution mitigation. In this study, six landscape tree species typical of a subtropical area were investigated for their tolerance of SO2: Cinnamomum camphora (L.) J. Presl., Ilex rotunda Thunb., Lysidice rhodostegia Hance, Ceiba insignis (Kunth) P. E. Gibbs & Semir, Cassia surattensis Burm. f., and Michelia chapensis Dandy. We measured net photosynthesis rate, stomatal conductance, leaf sulfur content, relative water content, relative proline content, and other parameters under 1.31 mg·m-3 SO2 fumigation for eight days. The results revealed that the

On Granularity in Information Systems Based on Binary Relation  [PDF]
Weihua Xu, Shihu Liu, Xiaoyan Zhang, Wenxiu Zhang
Intelligent Information Management (IIM) , 2011, DOI: 10.4236/iim.2011.33010
Abstract: In this paper, some important issues of granularity are discussed mainly in information systems (ISs) based on binary relation. Firstly, the vector representation method of knowledge granules is proposed in an infor-mation system based on binary relation to eliminate limitations of set representation method. Secondly, operators among knowledge granularity are introduced and some important properties of them are studied carefully. Thirdly, distance between two knowledge granules is established and granular space is constructed based on it. Fourthly, axiomatic definition of knowledge granularity is investigated, and one can find that some existed knowledge granularities are special cases under the definition. In addition, as an application of knowledge granular space, an example is employed to validate some results in our work.
Ranking for Objects and Attribute Reductions in Intuitionistic Fuzzy Ordered Information Systems
Xiaoyan Zhang,Weihua Xu
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/426901
Abstract: We aim to investigate intuitionistic fuzzy ordered information systems. The concept of intuitionistic fuzzy ordered information systems is proposed firstly by introducing an intuitionistic fuzzy relation to ordered information systems. And a ranking approach for all objects is constructed in this system. In order to simplify knowledge representation, it is necessary to reduce some dispensable attributes in the system. Theories of rough set are investigated in intuitionistic fuzzy ordered information systems by defining two approximation operators. Moreover, judgement theorems and methods of attribute reduction are discussed based on discernibility matrix in the systems, and an illustrative example is employed to show its validity. These results will be helpful for decisionmaking analysis in intuitionistic fuzzy ordered information systems.
Research on Real-time and Dynamic Urban Traffic Information Service System
Hui Yu,Weihua Zhang
TELKOMNIKA : Indonesian Journal of Electrical Engineering , 2012, DOI: 10.11591/telkomnika.v10i4.871
Abstract: With the acceleration of urbanization and the rapid growth of private cars, the traffic congestion is increasingly becoming a “chronic illness” for urban development. This paper describes what exactly the real-time and dynamic urban traffic information service systemis. Furthermore, the pieces of technology needed and the benefits of the system will be discussed. Finally, we conclude with issues and problems that to be resolved in order to have a fully functional system.
People Portraits and Cartoon Algorithm Study
Weihua Gai,Dakun Zhang
Computer and Information Science , 2009, DOI: 10.5539/cis.v2n1p195
Abstract: This paper is to use the positive face to automatically generate a photo realist style, or has the effect of exaggerated cartoons. It includes two aspects: First, face the portrait photos automatically into production; Second, face deformed to generate cartoon effect. AAM model is a statistical model, can be well applied to the facial characteristics of location. In this paper, by improving the traditional AAM ways to overcome its lack of color information processing, design a more effective figure portraits Generation System. Then, take the initiative to shape a model feature extraction and characteristics of the method of combining the human face of the main features of automatic deformation, the cartoon characters generated portrait.
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