In order to evaluate the structural complexity of class diagrams systematically and deeply, a new guiding framework of structural complexity is presented. An index system of structural complexity for class diagrams is...
详细信息
In order to evaluate the structural complexity of class diagrams systematically and deeply, a new guiding framework of structural complexity is presented. An index system of structural complexity for class diagrams is given. This article discusses the formal description of class diagrams, and presents the method of formally structural complexity metrics for class diagrams from associations, dependencies, aggregations, generalizations and so on. An applicable example proves the feasibility of the presented method.
Due to environmental mismatch, speech recognition systems often exhibit drastic performance degradation in noisy conditions. This paper presents a model-based technique termed Adaptive Parallel Model Combination (APMC...
详细信息
ISBN:
(纸本)9781424423149
Due to environmental mismatch, speech recognition systems often exhibit drastic performance degradation in noisy conditions. This paper presents a model-based technique termed Adaptive Parallel Model Combination (APMC) which compensates the initial acoustic models to reduce the discrepancy. APMC used the well-known PMC technique to composite a set of corrupted speech models, while fine tuning the mean parameter of the models using a transformation-based adaptation technique called Maximum Likelihood Spectral Transformation (MLST). Evaluated on a context-independent phone recognition task, APMC was found to be superior to both PMC and MLST, especially in non-stationary noisy conditions. On average, APMC has achieved 48.81% improvement over the initial models, whereas PMC and MLST have improved the accuracy by 34.12% and 35.23% respectively.
Deciding on how to evaluate each students programming skills is one of the largest challenges facing educators who teach object-oriented courses. Traditional assessment of programming education is with Grade. Quite of...
详细信息
Deciding on how to evaluate each students programming skills is one of the largest challenges facing educators who teach object-oriented courses. Traditional assessment of programming education is with Grade. Quite often students get good grades in programming but still facing great challenges or have difficulties to take on real programming jobs. This research focus on how we addressed this challenge in object oriented programming course by proposing a new assessment method to assess students' object-oriented programming skills. The process begins by identifying generic object-oriented skills that students should acquired. In this paper we discuss the issues on object-oriented programming assessment and our proposed solution for a new assessment model. This followed by an approach taken in the process of identifying the object-oriented skills using Delphi technique. Delphi technique is a structured multi-step process that uses a group of experts to achieve a consensus opinion. We present the methodology of three Delphi processes to identify object-oriented programming skills. The identified skills will be used to guide both the coverage of student learning assessments and can be used by instructors to identify what topics merit emphasis.
This research presents the outcomes of a study performed with the aim of identifying the issues affecting the application of Component-Oriented software Development (COSD) amongst the software developers, which consis...
详细信息
Modern project management is a well-understood discipline that can produce predictable, repeatable results. The methodologies of modern project management are highly analytic, usually requiring automated tools to supp...
详细信息
Often, software managers have to monitor and manage many projects concurrently. Unfortunately, some projects were completed successfully but some were not completed on time, over budget or being cancelled. Some of the...
详细信息
Robustness and reliability with respect to the successful completion of a schedule are crucial requirements for scheduling in multi-agent systems because agent autonomy makes execution environments dynamic and nondete...
详细信息
The electrocardiogram inverse problem is a non-linear and ill-posed problem for which it is very difficult to find an exact solution. In this paper, we presented an efficient and robust method to solve this problem. T...
详细信息
We have proposed the voltage-current sensor embedded in a ceramic insulator for the real-time observation of the power factor in three-phase power distribution systems and carried out the finite element analysis to in...
详细信息
The focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relat...
详细信息
ISBN:
(纸本)9781605580463
The focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relation. Since the lattice can only be constructed from inputs with binary attributes, descriptive and numeric attributes must be transformed to binary attributes. In this paper, we propose the transformation of numeric attributes to descriptive attributes using fuzzy set theory. We experiment on benchmark data sets, Car and Iris, to determine the performance in term of number of rules used and classification precision. The results show that trend of accuracy is proportional to the size of learning inputs. The number of rules used is relatively small compared with size of training data. Our case-based classifier produces very promising results in practice and can classify the new problem more accurate than traditional classifiers. Copyright 2008 ACM.
暂无评论