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An improved macro traffic flow model is presented in this paper. According to the improved model and phase plane diagrams, the stability analysis of various traffic phenomena can be carried out directly. There is a one-toone relationship between the traffic congestion and the unstable system in the phase plane. In order to illustrate this new method further, the well-known stop-and-go waves are analyzed...
The worldwide market for luxury and fashion goods is dominated today by a handful of multinational corporations (MNCs). The way MNCs access foreign markets and organize distribution, however, remains unclear. In this paper, based on an analysis of foreign trade statistics, we take the example of watches and provide a model to highlight the most important flows as well as regional hubs in this global...
Data-driven analytics and decision-making have been essential for numerous applications in our society. To transform the data into a source of rich intelligence and support decision-making, data-driven analytics often need to aggregate intelligence from multiple sources and disaggregate signals into significant constituents. Though many existing approaches perform these two tasks respectively, there...
We present a novel approach for estimating conditional probability tables, based on a joint, rather than independent, estimate of the conditional distributions belonging to the same table. We derive exact analytical expressions for the estimators and we analyse their properties both analytically and via simulation. We then apply this method to the estimation of parameters in a Bayesian network. Given...
This paper aims at an aspect sentiment model for aspect-based sentiment analysis (ABSA) focused on micro reviews. This task is important in order to understand short reviews majority of the users write, while existing topic models are targeted for expert-level long reviews with sufficient co-occurrence patterns to observe. Current methods on aggregating micro reviews using metadata information may...
Collecting labeling information of time-to-event analysis is naturally very time consuming, i.e., one has to wait for the occurrence of the event of interest, which may not always be observed for every instance. By taking advantage of censored instances, survival analysis methods internally consider more samples than standard regression methods, which partially alleviates this data insufficiency problem...
Wireless Sensor Networks (WSNs) have a wide variety military applications including battlefield surveillance, enemy tracking, and target classification. In this paper, we propose a WSN architecture based on a mobile sink. The proposed architecture differentiates the regular data from the critical data, and leverages this difference to reduce the energy consumption in WSNs. We formally modeled the...
Unified Modeling Language (UML) is a modeling standard that has been commonly used in the software industry. However, students face difficulties while learning how to model complete and correct UML diagrams. One of the reasons is the way UML has been taught. In order to improve the effectiveness of learning it is necessary to employ methods in which the students actively take part in the learning...
Functional near-infrared spectroscopy (fNIRS) can be employed to investigate brain activation by measuring the absorption of near-infrared light through an intact skull. fNIRS can measure hemoglobin signals, which are similar to functional magnetic resonance imaging (fMRI) blood-oxygen-level-dependent (BOLD) signals. The general linear model (GLM), which is a standard method for fMRI imaging, has...
Teaching software development to undergraduate students is a challenging task. One of the challenges is to secure a high education quality for large numbers of students. Different projects should be easily comparable while allowing for different tasks for different teams to reduce the risk of plagiarism. Our solution is to use an application framework. The student project teams' final applications...
This article first to average processing of measurement data, using EXCEL to draw the color readings and material concentration scatter diagram, using linear regression analysis method to determine concentrations of linear regression equation with color readings and material model. We use the least square method to obtain the regression equation, and analyze the model error by using total sum of squares,...
Cyber-Physical Systems (CPS) are known to be highly complex systems which can be applied to a variety of different environments, covering both civil and military application domains. As CPS are typically complex systems, its design process requires strong guarantees that the specified functional and non-functional properties are satisfied on the designed application. Model-Driven Engineering (MDE)...
For the evaluation of station importance in transportation system of railway, firstly the weighted railway passenger bipartite network model was established according to the idea of the transport capacity between the different traffic units and connection relation between the traffic units and their stations. Based on previously mentioned network model, a resource allocation algorithm was proposed...
Flood disaster has always been one of the most main natural disaster that people face. Flood happens frequently in every area of our country, especially in east China. There are about one tenth of land area are threatened by flood disaster, so it is important for us to do research on the flood control and disaster reduction. In this paper, we take Luojiang basin of Middle And Small Creeks in Guangdong...
Insurance plays a key role in the financial industry, and it is also of great importance for people's socio-economic life. Therefore, in this paper, we demonstrate on the problem of analyzing the operating performance of insurance companies, and it is crucial for modern financial industry development. Firstly, we design an index system for evaluating operating performance of insurance companies, which...
Complex power equipment has the characteristics of complex structure, involving a wide range of knowledge, many disciplines, difficult in system simulation, many of the equipment is running in high temperature, high pressure, high voltage and other extreme and dangerous environment, the real experiment has high risk, high energy consumption, high cost and can not carry out, not all the related professional...
It remains unclear when it is the right time to introduce software quality into the computing curriculum. Introductory students often cannot afford to also worry about software quality, while advanced students may have been groomed into undisciplined development practices already. To answer these questions satisfactorily, educators need strong quantitative evidence about the pervasiveness of software...
Based on the current situation and development trend of small and medium - sized libraries in China, this paper analyzes the main problems existing in the current public library construction system based on the new demand of Lib2.0 era.; The data and indicators of the current public library construction are often determined for large-scale city-level libraries, which is lack of hierarchical research,...
Campus card system in generated a lot of data during it's operation, and the system itself cannot analyze these data. How it can be learned from these massive, outdated data for student management to assist decision-making becomes a very realistic subject. This paper takes the transaction data of campus card as the research object, and uses the comprehensive application of data warehouse, online analysis...
MicroRNAs regulate virtually the whole gene network in human body and have been implicated in most physiological and pathological conditions including cancers. Understanding the precise mechanisms of microRNA-mRNA interaction is fundamentally important to elucidate the important roles of miRNA in regulating various cellular and disease developmental stages. Numerous computational methods have been...
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