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Asymptotically optimal algorithms do not always yield the fastest practical algorithm on realistic cases. We examine Gutin etal.'s recently published optimal algorithm for enumerating the set of convex subgraphs under input/output constraints with application to custom instruction identification. We show that (i) suppressing some of the machinery in their algorithm results in a sub-optimal algorithm...
This paper has analyzed and summarized the usability research in the human computer interface design and the relations between these researches and the usability of interface, and according to the usability research, this paper has summarized the usability test methods in the human computer interface design. At the end of this paper, it has analyzed and put forward some principles that we should abide...
The scoring mechanism of the text features is the unique way for determining the key ideas in the text to be presented as text summary. The efficiency of the technique used for scoring the text sentences could produce good summary. The feature scores are imprecise and uncertain, this marks the differentiation between the important features and unimportant is difficult task. In this paper, we introduce...
In the framework of AFS (Axiomatic Fuzzy Sets) theory, We propose A novel weight fuzzy clustering algorithm, which is totally different from the traditional clustering algorithm based approaches. The novel weighted fuzzy clustering algorithm has three main advantages: Firstly, the procedures of the proposed algorithm are more transparent and understandable, and the clustering results not only have...
In this paper, we explore the solutions of several optimization problems related to the Lagrangians of 3-uniform hypergraphs in some special cases. Exact solutions of these problems will benefit applications such as machine vision, image-guided neuro surgery and human face tracking in real time.
Using functional magnetic resonance imaging (fMRI) or positron emission tomography (PET), much knowledge has been gained in understanding how the brain is activated during controlled experiments of language tasks in educated healthy subjects and in uneducated healthy subjects. While previous studies have compared performance in visual tasks, few data adopted auditory tasks, especially in Chinese-speaking...
Finding a good similarity algorithm for the use on ontology is important to some techniques such as semantic retrieval, data mining, ontology translations etc. Similarity computation has special characters when applied in different domains. However after we learned most of the similarity measures based on ontology, we found that most researchers did not deal with these characters. In this paper we...
The ecological footprint, as an excellent tool, has received much attention as an indicator for sustainable development over the 10 years. Pasture is one important natural resource. How can we calculate the pasture footprint dominant by agriculture and animal husbandry in Northern China. We take different approaches calculation the pasture. First we use the conventional ecological footprint method...
As one of the researches adopting human brain functions, knowledge reconfiguring strategy was investigated and proposed for developing more efficient decision making system. In this paper, dasiaConceptual Distancepsila was defined as a logical distance which is determined by several fundamental factors and importance weight and Self Organizing knowledge network System and its reconfiguring strategy...
Recently various mathematical models have been proposed to model the signal attenuation obtained from Diffusion Weighted Magnetic Resonance Imaging (DW-MRI). Though effective to various extents, almost all of the existing methods involve model parameters which are abstract mathematical quantities without any tangible connection to physical quantities (e.g. the b-value, gradient pulse duration, pulse...
This paper proposes a framework for predicting whether a driving behavior that a driver is going to execute is usual or not in that situation for the purpose of preventing accidents caused by human error. The framework is applied to unusual right-turn driving behavior prediction at an intersection and the effectiveness is confirmed with an experiment on a driving simulator.
It is generally believed that semantic similarity between GO terms is critical in resolving semantic heterogeneousness when integrating heterogeneous biological databases. In this paper, we propose an approach to determine the semantic similarity of two GO terms based on both the locations of these terms in the GO graph and their semantic relations with their ancestor terms. First, we collect all...
Objectives: To compare anti-tumor activities of different extracts from the medicinal plants Pinellia ternata and its allied species.Methods: MTT cell proliferation assay was used to evaluate the cytotoxicity of the extracts on Bel-7402, HT-29, Hela cells. FCM assay and DNA fragmentation analysis were used to detect cell apoptosis. Immunohistochemical SABC method was performed for detection of the...
The aim of this study is to investigate the human driver behavior and explore a method to analyze the driver characteristics quantitatively. A self-reported survey of Chinese drivers based on driver behavior questionnaire (DBQ) is carried out and the reliability of this questionnaire is validated. Based on factor analysis theory, a two-dimension factor structure is established to describe the driver's...
Age related macular degeneration (AMD) is a condition of the retina that occurs with individuals over 50. AMD is characterized by the formation of drusen in the macula. This condition leads to a deterioration of foveal vision and eventually functional blindness. Automatically screening atrisk individuals may allow the detection of intermediate stage AMD where it is still treatable using anti-VEGH...
The study integrates the resonance principle of quantum physics and random walks concept to analyze the image multi-understandings. The quantum model of the photo and bounded electron interaction is recruited to simulate the machine image understanding problems. The pixel or the unit cell of the image will be resonance when the pixel or the unit cell satisfied the given quantum condition. Besides,...
Insider threats and attacks are a known problem. Within an enterprise it is very difficult to detect and identify insider attacks and abuse against information systems. A study was conducted by observing a group of IS security analysts who detect and identify insider attacks. Commonalities and generalizations were made based on the study to create an insider attack detection model. This model will...
In this paper, we present the Connect IT tool, which uses a graphical flow graph-based representation to express strategies for playing the connect-four game. The tool allows to transfer complex knowledge about the connect-four game itself, simple algorithmic concepts, and modern high-level component-based modeling techniques from theoretical grounds into an inspiring and practical learning experience...
In this paper, net analyte signal (NAS) calculation was used for near-infrared (NIR) spectra calibration and prediction glucose concentration in urine sample. Near-infrared spectra in the 10000~4000 cm-1 region were measured for human urine glucose with various concentrations at 37degC. The most informative spectral ranges of 4200~4800 cm-1 were selected by principal component analysis (PCA) for glucose...
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