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In the past two decades, due to Taiwans national insurance policy, a substantial amount of medical and patient records have been stored in a large database. From this database, much important medical knowledge has been discovered; however, with the rapid growth of database size, it takes an increasingly long time to process queries on the database, even rather simple queries. We, therefore, propose...
Computational Thinking was an important way to study computer science and it explained the relationships between human, calculation and computer in terms of thinking. The computer science was raised from the theory of tools to the height of thinking. This paper introduced three levels of Computational Thinking: Computational Thinking in computer science, Computational Thinking in computing science...
Specific requirements and characteristics of primary storage make designing desirable deduplication schemes a sophisticated task. In this paper, we propose DIODE, a Dynamic Inline-Offline DEduplication scheme that provides salient read/write performance and space-saving simultaneously for primary storage systems. DIODE orchestrates inline and offline processes in a dynamic manner. We propose two innovative...
The existed cloud data models cannot well meet the management requirements of structured data including a great deal of relational data, therefore a two-layer cloud data model is proposed by referencing the relation data model, Hierarchical data model and key value data model. In the representation layer, the concepts of composite class and composite object are proposed to represent nested data structure...
The magnetoacoustic tomography with magnetic induction (MAT-MI) is a hybrid imaging modality proposed to reconstruct the electrical impedance property in biological tissue by integrating magnetic induction and ultrasound measurements with high resolution. One of the major problems of MAT-MI is the singularity problem and its numerical errors caused by singular MAT-MI acoustic sources at conductivity...
With the wide use of computers, how to make students understand the special way of thinking of computer science and find the appropriate methods to solve problems in their own fields like computer scientists are the challenges for educators. This paper proposed a computational thinking model based on blended learning Mctbbl and a descending dimension method for problem-space transformation. The Mctbbl...
Mobile applications are widely used in many research areas as well as in current daily life. Applications on smart phones are closely related to the physical device. An application may run differently on different mobiles. It is hard and expensive for college students to adapt and test their applications on several types of smart phones. This paper presents a work in progress on the development of...
Due to the popularity and development of computer science, the connection between computer science and other disciplines became closer. The multidisciplinary crossing centered on computer science is gradually formed. Computer has unparalleled advantages in calculation, modeling, simulation and so on. It makes computer science hold a significant position in other disciplines. How to make students better...
Software defined networking (SDN) is a paradigm where a central software program, called a controller, dictates the overall network behaviour. However, relying on a single controller has major drawbacks including lack of scalability. The paper proposes the scheme that multiple controllers manage multiple network devices, and one network device can be managed by more than one controller. The mathematic...
The research on the business models is a hot topic in recent years. It is an interesting problem to study the business model of the service. There are three kinds of models related: classical service models, Business process (BP) models and the enterprise business (EB) models in management. However, none of them covers all the properties of the service business model. In this paper, we define the...
Process retrieval is critical for workflow repository management. Structural similarity metric based on graph matching could achieve highest retrieval quality. Nowadays, researchers mainly adopt graph edit distance (GED) as the approach for comparing process models. However, the computation complexity of GED based methods are high and their cost functions depend heavily on the application domain....
Robustness and reliability in large-scale sensor networks present a triple challenge. First, the large scale (possibly compounded by the use of unreliable communication) makes failures -- transient and permanent -- unavoidable. Second, the difficulty of deploying such systems, especially in challenging environments, makes it next to impossible to replace failed nodes or rearrange surviving nodes after...
Trust relationship and assessment are two challenges of constructing large scale trust network for web viral marketing applications. Because different customers have different needs and expectations in different aspects of the service and due to the customer's self-property, trading amount, trading time, trading evaluation and trading risk perception factors, etc. The trust assessment among customers...
In this paper, we propose an effective method to recognize human actions from 3D positions of body joints. With the release of RGBD sensors and associated SDK, human body joints can be extracted in real time with reasonable accuracy. In our method, we propose a new type of features based on position differences of joints, EigenJoints, which combine action information including static posture, motion,...
Cloud computing is an emerging computing technology for large data center that maintains computational resources through the internet, rather than on local computers. The large data centers maintain Cloud computing applications with lots of cost because of power consumption, which results in a new research issue, called Green Cloud computing. Since MapReduce is one of popular Cloud computing models,...
SaaS(Software as a Service) has recently made a great impact on the software industry and changed the traditional lifetime of software. To obtain the benefit of SaaS, more and more software products have been converted into SaaS model, including business workflow management systems (BWfMS). Compared with the traditional BWfMSs, SaaS oriented BWfMSs introduce a new set of features which demand a new...
Driver assistance system is currently an active research and development field for the general goal to provide useful information to drivers in order to reduce the number of injuries and fatalities in traffic. One important component of future systems will be an accurate and reliable positioning, which can be realized by relative measurement, using onboard sensors and maps of the environment. This...
We propose a method to improve traditional character-based PPM text compression algorithm for natural languages. Consider a text file as a sequence of alternating words and non-words, the basic idea of our algorithm is to encode non words and prefixes of words using character-based context models and encode suffixes of words using dictionary models. By using dictionary models, the algorithm can encode...
In this paper, a nonlinear model identification method is applied to a thermal plant. The aim of this work is to develop a moderately complex model with interpretable structure for a complex evaporator, which is the main component of Organic Rankine Cycle System. Based on the subtractive clustering algorithm, the T-S (Takagi-Sugeno) model is derived. The clustering centers can be obtained automatically...
For reducing the complexity, improving the reusability and shorten the composition period, the service composition process is proposed to be divided into service template composition based on functional planning and the service template implementation based on QoS optimizing. Then, this paper analyzes the driving factors for application in the service composition and service composition process. In...
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