The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents an IPv4/IPv6 communication method in virtual machine environment called Virtual IVI. The purpose is to find an easy way to translate IPv4 service into IPv6 service in datacenter with less hardware change and less applications modification in IPv4 servers. The proposed new mechanism is based on IVI technology which is a stateless IPv4/IPv6 translation technique developed by China...
A new generation of home healthcare monitoring system strives to have such characteristics as low-cost, low-power and low-volume etc., and furthermore, it needs to quickly adapt to the development of national medical information based Cloud computing in China. In response to this trend, a Cloud-assisted home health monitoring system was designed in this paper. Sensors can be selectively configured...
The Four-Component Instructional Design System is essential in blueprints for complex learning. In this work, the case analysis method was adopted to discuss the instructional design, course content arrangement and examination in American high education with focus on analyzing the methods of investigation teaching. Various methods using in the course exams were also discussed. We think that the exams...
As the new era of the Internet of Things(IoT) is driving the evolution of conventional Vehicle Ad-hoc Networks into the Internet of Vehicles(IoV), vehicles are equipped with different kinds of sensor and become a sensing node themselves in IoV. Consequently, complexity of the automotive electronic system inside the vehicles are daily increasing. To guarantee the safe operation of vehicles, it is of...
Cardiac arrhythmia is one of the most popular heart diseases that could lead to serious consequences. However, it is difficult for traditional electrocardiography (ECG) devices to capture arrhythmia symptoms during patients' hospital visits due to their intermittent occurrence nature. A few researchers recently propose continuous monitoring systems to address this problem. However, there are some...
Disruption of neural connections among regions regulating mood and cognition rather than cerebrovascular lesions may contribute to post-stroke depression (PSD). In this paper, we hypothesized that structural abnormalities in white matter structure like cingulate cortex induced by focal infarcts would play a role in mood regulation or depression after stroke onset. Various DTI coefficients including...
Libraries play an important role at the intersections of government, universities, research institutes, and the public since they are storing and managing digital assets. The large amount of data and those data in library need to be transformed into information or knowledge which then be used by researchers or users. Librarians might need to understand how to transform, analyze, and present data in...
As to studies on the human brain, researchers merely have focused on the structure, function, etc. of the encephalic region, and the cascading failure of the encephalic region is yet to be explored. Here, we recruited 15 age-matched normal people as the experimental group. We got Pearson correlation coefficient of 90 brain regions by using the resting brain functional connectivity and structured connection...
Today’s society is collecting a massive and exponentially growing amount of data that can potentially revolutionize scientific and engineering fields, and promote business innovations. With the advent of cloud computing, in order to analyze data in a cost-effective and practical way, users can outsource their computing tasks to the cloud, which offers access to vast computing resources on an on-demand...
An Image acquisition device for a CMOS digital image sensor typically uses a high-performance processor or CPLD/FPGA. When the image is gray and its resolution is not high, MCU can be applied. There are many acquisition methods employed. This paper describes a binary image inquiry method based on the microcontroller Serial Peripheral Interface (SPI). Using the SPI interface can decrease requirements...
With the extensive applications of the Internet of things in many fields, Internet of things confronted various problems of privacy protection. As a heterogeneous converged network, Internet of things is particular. This study looks into the basic knowledge and privacy protection technology of Internet of things. The protection schemes mentioned above in the medical health care scene environment have...
Image-based human pose recovery is usually conducted by retrieving relevant poses with image features. However, semantic gap exists for current feature extractors, which limits recovery performance. In this paper, we propose a novel method to recover 3D human poses from silhouettes. It is based on multiple feature fusion and deep learning. First, to fuse different types of features, we introduce manifold...
Solving large-scale linear systems of equations (LSEs) is one of the most common and fundamental problems in big data. But such problems are often too expensive to solve for resource-limited users. Cloud computing has been proposed as a timely, efficient, and cost-effective way of solving such computing tasks. Nevertheless, one critical concern in cloud computing is data privacy. To be more prominent,...
Traditional multi-class classifying methods treat outputs separately. It leads to a multiclass problem with a very large number of classes and downgrades the performance of classifiers. Actually, the outputs of different testing samples are usually interdependent. Therefore, we propose a novel method of structured classification based on SVM and hypergraph regularization (Hyper-SSVM). First, it exploits...
This paper presents a universal parametric magnetic network model for coreless stator axial flux permanent magnet (AFPM) machines. To account for three-dimensional field effects in an AFPM machine, a multilayer modeling method is used to estimate both the axial and tangential magnetic field component in the air gap. A magnetic network model of magnets are used to correct the distribution of air gap...
DTI (Diffusion Tensor Imaging) is a well-known MRI (Magnetic Resonance Imaging) technique which provides useful structural information about human brain. However, the quantitative measurement to physiological variation of subtypes of ischemic stroke is not available. An automatically quantitative method for DTI analysis will enhance the DTI application in clinics. In this study, we proposed a DTI...
Image-based 3D human pose recovery is usually conducted by retrieving relevant poses with image features. However, it suffers from high dimensionality of image features and low efficiency of retrieving process. In this paper, we propose a novel approach to recover 3D human poses from silhouettes. This approach improves traditional methods by adopting locality sensitive sparse coding in the retrieving...
To interpolate the missing data existing in RFID data streams, a space-time with weight algorithm is presented in this paper. Combining the ideology of sample interpolating method with mean value interpolating method, the algorithm employs the smoothing window technology and endows sample value and mean value with different weights, respectively. The sum of the two values with weight is adopted to...
We used the seed-voxel method to construct a brain function network and divided the community structure by greedy algorithm based on the n-back task. And then, we explored brain function network community structure robustness based on improved perturbation model. The results showed that random disturbance has little effect on the community structure, brain function network showed strong robustness...
Software reverse engineering in embedded system is not convenient than it on the PC. There are many debugging and analysis software on the PC. In embedded systems, due to the diversity types of processors, it is difficult to make software tools using anywhere. However, the diversity types of processors also provide us with convenience. We can use some special features of the processors to complete...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.