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Vehicle classification plays an important part in Intelligent Transport System (ITS). However, the existing vehicle classification methods are not very robust to various changes such as lighting, weathers, noises, and the classification accuracy has been requiring to be improved. Sparse Representation-based Classifier (SRC) is not sensitive to the shortage and damage of data, the feature selection...
Sparse Representation-based Classifier (SRC) is less sensitive to the shortage of data and the selection of feature space. In this paper, SRC is adopted to perform automatic analysis of tongue substance color and coating color which is considered as small dataset classification task. Firstly, for both training samples and testing samples, the tongue body regions are segmented, the regions of tongue...
Images/videos captured in low-light conditions often present low luminance and contrast. Although the existing algorithms can improve the subjective perception, color distortion and over-enhancement usually appear, which will disturb the subsequent intelligent analysis. Otherwise, due to high computational complexity, the existing algorithms are difficult to process a high resolution (HR) video (1280×720)...
Taking the construction of STKOS (Science and Technology Knowledge Organization System) Service System in Intelligence 3.0 as the mainline, this paper first analyzes various functions that the system shall have, and designs the overall architecture of the system. Second, it introduces the implementation of the system from the perspectives of STKOS registration, triple retrieval, visual presentation...
This paper takes the “Ya'an earthquake” incident as an example, makes an in-depth research on the microblog public opinion towards emergency events, and makes an early-warning analysis based on the corresponding public opinion life cycle. The paper also provides a reference for the Microblog public opinion response of emergency events.
The developments of network infrastructures and personal intelligent devices, e.g., smart phones, makes the multimedia related services play an important role in network user applications. However, users are still troubled by limited bandwidth, burst of incoming service requests, and imbalance of content dissemination while enjoying the multimedia services. In this paper, we proposed a user grouping-based...
The era of big data has led to the emergence of new systems for real-time distributed stream processing. Apache Storm is one of the most popular stream processing systems today. However, Storm, as many other stream processing systems, lacks an intelligent scheduling mechanism. The default round-robin scheduling which disregards inter-node traffic and worker nodes load balancing may be inefficient...
Taiwanese economy is extremely export-oriented. However, Taiwan also starts to actively look for opportunities for participation, because of the slowdown of multinational liberalizations, and as a result of the advance of the regional economic integration trend. As an example, Taiwan vigorously participates in FTAs with countries in Asia and Central America. International economic conditions are significantly...
This paper describes a database system with tenant technology on Eucalyptus platform for a rural drinking water supply system. This database use a sharing model to store data and a tenant placement algorithm to properly put tenants in virtual machine therefore it can ensure the service quality for the tenants with the minimum use of hardware resources. The experiment results show that the tenant placement...
Extreme weather always brings potential risk to driving, which leads to people's life and property being put into great dangers. Therefore, the automatic recognition of extreme weather plays an important role in the application of the highway traffic condition warning, automobile auxiliary driving, climate analysis and so on. Generally, multiple sensors are adopted in traditional methods of automatic...
We consider a large-scale road network in Eastern Massachusetts. Using real traffic data in the form of spatial average speeds and the flow capacity for each road segment of the network, we convert the speed data to flow data and estimate the origin-destination flow demand matrices for the network. Assuming that the observed traffic data correspond to user (Wardrop) equilibria for different times-of-the-day...
AT-cut Quartz crystal Microbalance (QCM) has been used as a high precision sensor for decades, which could detect the trace mass deposited on the crystal surface. The accuracy of QCM can be achieved ng level. When used as biosensor in liquid, the resonant frequency is not only affected by the mass change, but also by the liquid density and viscosity, which are greatly dependent on the liquid temperature...
Currently, cloud computing is experiencing the rapid development. However, cloud migration is firstly required for the adaptation of some application systems to new cloud computing environments. Consequently, theories and strategies of the cloud migration research have emerged to be hot spots. In spite of the availability of many successful economic plans and technical schemes in this field, few guiding...
At present, research of Mesos is in the early stage. Because of the two-level hierarchical scheduling, Mesos doesn't take the whole cluster into consideration in resource scheduling, which could cause load imbalance and low resource utilization. To solve above-mentioned problem, this paper proposed a resource adjustment plan based on an improved artificial fish swarm algorithm, it adopts a new behavior...
Cone beam computed tomography (CBCT) has widely applied in dental procedures at present days compared with computed tomography (CT). The artifacts caused by beam hardening phenomenon can affect the quality of image after reconstruction. And this would affect the diagnosis of diseases of patients. Some techniques from the hardware and software proposed by researchers can efficiently reduce the beam...
This paper compared the fatigue damage accumulation of the gold-tin eutectic die attach layer in different high electron mobility transistor (HEMT) packages with various types of die attach layers and substrates under thermal cyclic loading. The fatigue damage per cycle used in this study was characterized by the accumulation of plastic work, which was derived by the finite element analysis (FEA)...
In this paper, the effects of newly defined solder geometric factors in a 2-pad LED lighting assembly on the reliability of Land Grid Array solder joints are investigated by adopting the methodology that we derived from our previous work. This has been done by conducting a series of FEM simulations to establish a response surface model for LED package geometric parameters to predict solder joint reliability...
We propose and experimental demonstrate an elastic-bandwidth access scheme using spectrum-sliced incoherent light (SSIL) source with adaptive OFDM modulation in WDM-PON. We optimize the frequency efficiency of SSIL source by adaptive algorithm.
A sliding mode based active center of gravity control law is designed for the aircraft with center of gravity varying during flight. As the basis, the general scheme of the active center of gravity control system is proposed, and the mathematic model of aircraft center of gravity varying with fuel transfer is established. Then, the center of gravity control law based on sliding mode control theory...
Base station sleep mode is an effective method to reduce the energy consumption of cellular networks. Taking into account a cellular network, its central base station (BS) can turn into sleep mode when the traffic is low and the users in this cell can access to neighbor active cells. A user offloading algorithm for the sleeping cell is investigated. The energy consumption of the cellular network in...
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