This paper presents a method of ontology-based sentiment classification to classify and analyse online product reviews of consumers. We implement and experiment with a support vector machines text classification appro...
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This paper presents a method of ontology-based sentiment classification to classify and analyse online product reviews of consumers. We implement and experiment with a support vector machines text classification approach based on a lexical variable ontology. After testing, it could be demonstrated that the proposed method can provide more effectiveness for sentiment classification based on text content.
Access to computer networks and systems is most often based on the use of conventional passwords nowadays. However, users have difficulty remembering a password that is long and random-appearing. So, they create short...
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Access to computer networks and systems is most often based on the use of conventional passwords nowadays. However, users have difficulty remembering a password that is long and random-appearing. So, they create short, simple, and insecure passwords. Graphical passwords have been designed to try to make passwords more memorable and easier for people to use, to create and, therefore, more usable and secure. Using a graphical password, users click on images rather than type conventional passwords. We have designed a usable graphical password system focusing in the usability features to the users, called Jetafida. In this paper we describe the Jetafida usability features, and the system usability features had been tested by questionnaire survey. This done by thirty computer students participates and uses the system for three times in different times to see the usability features achieved in the system. Where these features are ease of use, ease to create, ease to memorize, ease to learn and the overall system design and layout. The results show that the participants found that the proposed usable graphical password system has been achieving the usability features built in.
Recent advances in microarray technology allow scientists to measure expression levels of thousands of genes simultaneously in human tissue samples. This technology has been increasingly used in cancer research becaus...
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Recent advances in microarray technology allow scientists to measure expression levels of thousands of genes simultaneously in human tissue samples. This technology has been increasingly used in cancer research because of its potential for classification of the tissue samples based only on gene expression levels. A major problem in these microarray data is that the number of genes greatly exceeds the number of tissue samples. Moreover, these data have a noisy nature. It has been shown from literature review that selecting a small subset of informative genes can lead to an improved classification accuracy. Thus, this paper aims to select a small subset of informative genes that is most relevant for the cancer classification. To achieve this aim, an approach using two hybrid methods has been proposed. This approach is assessed on two well-known microarray data. The experimental results have shown that the gene subsets are very small in size and yield better classification accuracy as compared with other previous works as well as four methods experimented in this work. In addition, a list of informative genes in the best subsets is also presented for biological usage.
Ambiguity is a major problem of software errors because much of the requirements specification is written in a natural language format. Therefore, it is hard to identify consistencies because this format is too ambigu...
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ISBN:
(纸本)9781424439027
Ambiguity is a major problem of software errors because much of the requirements specification is written in a natural language format. Therefore, it is hard to identify consistencies because this format is too ambiguous for specification purposes. This paper aims to propose a method for handling requirement specification documents which have a similar content to each other through a hierarchical text classification. The method consists of two main processes of classification: heavy classification and light classification. The heavy classification is to classify the requirement specification documents having similar content together. Meanwhile, light classification is to elaborate specification requirement documents by using the Euclidean distance. Finally, slimming down the number of requirements specification through hierarchical text classification classifying may yield a specification which is easier to understand. That means the proposed method is more effective for reducing and handling in the requirements specification.
In this paper, we propose an efficient algorithm, NCLOSED, for mining the N k-closed itemsets with the highest supports for 1 up to a certain k max value. The algorithm adopts best-first search strategy to generate c...
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In this paper, we propose an efficient algorithm, NCLOSED, for mining the N k-closed itemsets with the highest supports for 1 up to a certain k max value. The algorithm adopts best-first search strategy to generate closed itemsets with highest remaining supports. It does not keep closed itemsets mined in main memory to ensure that they are really closed. This is because this algorithm can directly generate closed itemsets. Moreover, duplicated closed itemsets are detected and discarded from this algorithm.
This paper presents a case study that describes TSPi teaching (introduction to the team software process) to 4th year students, grouped by teams, at the computer Science School, Polytechnic University of Madrid (UPM)....
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This paper presents a case study that describes TSPi teaching (introduction to the team software process) to 4th year students, grouped by teams, at the computer Science School, Polytechnic University of Madrid (UPM). The achievements of the teams, due to training and the use of TSPi, were analyzed and discussed. This paper briefly discusses the approach to the teaching and some of the issues that were identified. The teams collected data on the projects developed. They reviewed the schedule and quality status weekly. The metrics selected to analyze the impact on the students were: size, effort, productivity, costs and defects density. These metrics were chosen to analyze teams 'performance evolution through project development. This paper also presents a study related to the evolution of estimation, quality and productivity improvements these teams obtained. This study will prove that training in TSPi has a positive impact on getting better estimations, reducing costs, improving productivity, and decreasing defect density. Finally, the teams 'performance are analyzed.
Aesthetics is vital in affecting users' usage in Web interaction. In order to measure aesthetics, an application such as aesthetic measurement application (AMA) needs to be created. In the effort of doing so, this...
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Aesthetics is vital in affecting users' usage in Web interaction. In order to measure aesthetics, an application such as aesthetic measurement application (AMA) needs to be created. In the effort of doing so, this article describes the accuracy of our AMA in measuring the aesthetic aspect by comparing the results of our application and users' perceptions in measuring the aesthetics of the Web page interfaces. The Web pages used in our study were Mandarin learning Web pages that comprised of main pages, learning pages and exercise pages. For this research, the positions of objects, images element and texts element are defined as objects in a Web page interface. The objects of the Web pages were manipulated in order to produce the desired aesthetic values. The six aesthetics related elements used are balance, equilibrium, symmetry, sequence, rhythm, as well as order and complexity. The object modeling used as well as the process in developing this application were discussed in details. The steps on how to run our application were explained. This is to assist those who are interested may duplicate our study and improve the aesthetic measurement design in order to come up with a more ideal aesthetic measurement tool.
Component-based softwareengineering (CBSE) is becoming popular due to the benefits of software reuse and the availability of many alternatives of reusable components. By reusing existing software components that have...
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Component-based softwareengineering (CBSE) is becoming popular due to the benefits of software reuse and the availability of many alternatives of reusable components. By reusing existing software components that have already been tested, software engineers may reduce errors and shorten the time to market the system under development. However, software engineers still have a problem in selecting the existing reusable components as well as difficulties in determining the quality of the developed components for future reuse. Therefore, an appropriate component evaluation framework is extremely needed to harvest the full benefits of software reuse. In this paper, we present the comparative evaluation of the state-of-the-art component evaluation approaches with an emphasize on reusability. The results presented in this paper are very useful in achieving the ultimate aim of our research i.e. providing a holistic component evaluation approach that may assist software engineer both in the selection of the existing reusable components and the development of new reusable components.
作者：
He-xuan HuAnne-lise GehinMireille BayartLanguages
Informatics Systems and Software Engineering Department Faculty of Computer Science Université des Sciences et Technologies de Lille Villeneuve d'Ascq France
This paper proposes a formal framework for reconfigurable control, based on model checking. This framework first generates a flexible model (i.e., an execution structure) according to the diagnosis, then defines a tem...
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This paper proposes a formal framework for reconfigurable control, based on model checking. This framework first generates a flexible model (i.e., an execution structure) according to the diagnosis, then defines a temporal specification language to deal with the problems due to infinite execution cycles and non-determinism, and finally provides the algorithms that will automatically verify whether the updated model satisfies the desired specification.
A new nonlinear protocol is proposed for state consensus of multi-agent systems in this paper. It is shown that this protocol can provide faster convergence rate than the typical linear protocol, presented by Olfati-S...
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A new nonlinear protocol is proposed for state consensus of multi-agent systems in this paper. It is shown that this protocol can provide faster convergence rate than the typical linear protocol, presented by Olfati-Saber and Murray, and furthermore guarantees the states of agents reach a consensus in finite time, provided that the interaction topology, represented by a directed graph, has a spanning tree.
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