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During the past couple years, several Chinese and Latin American research communities have established and strengthened notable collaborative ties, in the fields of urban computing, virtual reality and visualization. These endeavors culminate in 2016 as the Sino-Latin America Birds of a Feather (SLA-BOF) event at the International Conference on Virtual Reality and Visualization (ICVRV). In this event...
Cross-scene crowd counting is a challenging task where no laborious data annotation is required for counting people in new target surveillance crowd scenes unseen in the training set. The performance of most existing crowd counting methods drops significantly when they are applied to an unseen scene. To address this problem, we propose a Full Convolutional Neutral Network(FCN) for person detection,...
Augmented Virtual Environment (AVE) has been proved efficient in the field of image browsing and video surveillance. Previous works rarely concern on transition between images and videos at different locations. We seek to develop an automatic path planning method to find the way of the transition and willing to help to improve the observer's sense of direction. We firstly propose a viewpoint quality...
Many processors that use energy harvesting devices for low-power computing operations and zero-standby-current power-off storage require embedded nonvolatile memory (eNVM) devices and nonvolatile logics (nvLogics) with low-voltage capability. However, conventional eNVMs and nvLogics are unable to perform low-voltage write operations due to a failure on the part of on-chip charge-pump circuits to provide...
Recent years, various image matching methods spring up so that it becomes more and more difficult for decision makers to choose. In this paper, a quantitative assessment method of image matching methods based on cumulative prospect theory is proposed. In the method, the cumulative prospect theory is introduced to deal with the multi outcomes of each measure that assesses matching results, and there...
In recent times, there has been growing demand for environmentally friendly methods for finishing freeform surfaces (e.g., molding-die surfaces). This demand has generated interest in the development of a new polishing technology that uses less abrasive slurry and employs magnetic abrasive finishing. However, it is well known that the traditional magnetic polishing method is unstable and produces...
In recent years, Cloud computing has become increasingly popular. Many companies have replaced traditional hosting to cloud hosting. Cloud providers are responsible for tenant isolation, if a tenant (virtual machine) is infected, other tenants will be affected. Because the virtual network environment is very complex, the traditional intrusion detection systems can only detect attacks from external...
In this paper, we propose An Android Behavior-Based Malware Detection Method using Machine Learning. We improve an Android application sandbox, Droidbox, by inserting a view-identification automatic trigger program which can click mobile applications in the meaningful order. Taking advantage of Droidbox result, we collect the behavior such as network activities, file read/write and permission as the...
Recently, orbital angular momentum (OAM) has attracted much attention in radio frequencies due to the unique properties that radio waves carrying different OAMs are inherently orthogonal. Consequently, OAM-based multiplexing has potentials to increase the capacity of communication system. Here, a novel ultrathin slot-based planar-spiral phase plate (planar-SPP) is designed for generating the OAM radio...
The defected-ground-structure (DGS) resonator is an important topic of design of the front-end circuit in the wireless communication systems. By etching a patterned slot in the ground plane, it can excite band-stop frequency performance [1, 2]. Generally, the conventional DGS resonator with two shorted ends and its resonated path in its fundamental mode is half a wavelength long at the operated frequency...
With the ever increasing demand on computational and storage resources to deal with tremendous growth of big data, clients tend to outsource their data mining tasks to cloud service providers. Nevertheless, concerns of data integrity, security and privacy are also on the rise: how can the clients with weak computational power verify the integrity of mining results returned by the server while preserving...
Wong et al. [1] proposed a fuzzy extreme learning machine (F-ELM) which possessed advantages of fuzzy inference systems and extreme learning machines. However, the generalization capability and flexibility of F-ELM are restricted by constant rule consequences and the generalized AND operator. Therefore, first-order Takagi-Sugeno-Kang (TSK) type fuzzy rule consequences and a compensatory fuzzy operator...
While the feature size of micro-fabricated structures is continuously diminishing, the issue of high accuracy measurement becomes increasingly significant. In recent years, Atomic Force Microscopy (AFM) has become a powerful measurement tool which has been widely used in micro- and nano-fabricated structure inspection. However, owing to the fixed tilting angle of the scanning probe in traditional...
Photovoltaic (PV) generation is increasingly popular in power systems. The nonlinear dependence associated with a large number of distributed PV sources adds the complexity to construct an accurate probability model and negatively affects confidence levels and reliability, thereby resulting in a more challenging operation of the systems. Most probability models have many restrictions when constructing...
This paper is concerned with state filtering and the parameter estimation problem of noisy Hodgkin-Huxley neuronal model. The Cubature Kalman filter is applied to solve the joint estimation problem as an effective means of dealing with system noise and observation noise. The proposed state filtering method is based on the only measurable variable - membrane potential. In addition, the method is applicable...
Satellite remote sensing can provide repeat and detail observations, which has played an important role on the disaster management. Different with the existing satellites, GF—4, which works on the geosynchronous orbit and carry on a camera with 50 meter spatial resolution in visible and NIR bands, can give a continuous earth observation. It is the highest spatial resolution among the civil satellite...
The increasing integration of wind power generation brings more uncertainty into the power system. Since the correlation may have a notable influence on the power system, the output powers of wind farms are generally considered as correlated random variables in uncertainty analysis. In this paper, the pair copula theory is introduced to describe the complicated dependence of multidimensional wind...
We proposed the new high conductivity material for developing the high transparent dipole antenna. The proposed material is based on the nano-structured thin film and deposited on the glass substrate. Our invented activation process is used to rearrange the direction of nano-structure inside the thin film from disorder to order arrangements. The transmittance of antenna can be achieved to 80%. The...
A novel monopole antenna integrated with the keyboard ground plane in a laptop computer is presented. The antenna is installed on a notched region (40 mm × 8 mm). The hook-shaped monopole can be combined with the keyboard ground plane to form a coupled-fed loop path to enhance bandwidths. The proposed antenna can be designed to excite several resonant modes of the coupled-fed loop, the hinge slot...
To solve the problem of rapid perception of the collected content and non-contact measurement in integral imaging, computer virtual reconstruction algorithm of a three dimensional scene is proposed. Firstly, calculate the combined disparity map of an elemental image array using the region-based iterative matching algorithm according to the distribution characteristics of the homologous pixels in the...
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