ICIIP

In order to reduce the energy waste in the data center, while taking into account the violation rate of user service level and the resource utilization rate, this paper studies how to adopt effective strategy to get the reasonable suboptimal solution by ...

We demonstrate an optical position sensor for sun tracking. The sensor uses a linear CCD to detect the position of the rays of the sun, by which the incidence angle of the sun is calculated. In order to improve the measurement accuracy, the weighted ...

Preferred semantics is one of the most important semantics in abstract argumentation. This paper designed a new algorithm, named ACPE, for computing preferred extensions based on SAT approach. Firstly, Algorithm ACPE searches for admissible extensions ...

In many real world applications, the same object or event may be described by multiple sources. As a result, conflicts among these sources are inevitable and these conflicts cause confusion as we have more than one value or outcome for each object. One ...

In this paper, an improved Q-algorithm based on Dynamic Framed Slotted Aloha (DFSA) used in EPC Class 1 Generation 2 (C1G2) protocol is proposed. In the proposed anti-collision algorithm, the total number of frames and the unnecessary sending of ...

There is a great variety of devices in domestic IoT (Internet of Things) so that it causes heterogeneous information. For solving multiple nodes with heterogeneous information in unified management and making information processing more intelligential ...

The DSSS signals are estimated to be difficult under low SNR conditions. In this paper, an improved DSSS signal pseudo-code period estimation method is proposed. It is based on the in-depth analysis of time domain autocorrelation estimation method. In ...

The study of semantic kernel function is an important branch of kernel function research in recent years. However, there are few studies on the use of semantic kernel function in support vector machine for Chinese text classification. This paper ...

Since the model of the correlated filter trackers is sensitive to deformation and occlusion depending on the spatial layout of the object being tracked, the tracker drifts or even fails when the tracked object is deformed or partially obscured. Aiming ...

For the application of deep neural networks on devices with limited hardware resources, it is necessary to reduce the computational complexity and storage requirement. Compression is an effective way to achieve this goal. One of the available method is ...

Strengthened road traffic flow monitoring and forecasting can ease road traffic congestion and facilitate road traffic safety planning. Multi-step ahead of the ability to predict the traffic flow is particularly important. The monitoring data of road ...

Cloud computing resource has the features of dynamic, heterogeneous, distributed and complexity etc. Meanwhile the numbers of resources and tasks to be scheduled in Cloud are usually variable. This makes the Cloud resource scheduling a complex ...

The purpose of this study is to analyze the general characteristics of the spatial and temporal changes of vegetation coverage of Midu County in 2013, 2014 and 2015. Based on the Landsat 8 satellite remote sensing image data of Midu County in the three ...

Multi-label classification with many labels are common in real-world application. However, traditional multi-label classifiers often become computationally inefficient for hundreds or even thousands of labels. Therefore, the label space dimension ...

In this paper, we proposed a DBSCAN-based clustering algorithm called NNDD-DBSCAN with the main focus of handling multi-density datasets and reducing parameter sensitivity. The NNDD-DBSCAN used a new distance measuring method called nearest neighbor ...

The total variation (TV) model is a classical and effective model in image denoising, but the weighted total variation (WTV) model has not attracted much attention. In this paper, we propose a new constrained WTV model for image denoising. A fast ...

A new method based on the total variation model, applicable to reconstruct the compressed sensing color images, is proposed. At first, the compressed sensing color images should be converted form the RGB color space to the CMYK space, and the compressed ...

At present, with rapid development of China's urbanization, the population density increases, the structure of buildings become more complexity, and building materials and techniques emerge endlessly. Frequent unsafe personal behavior and complex ...

In this paper, we studied the effect of smoothing filters on the segmentation of Time-domain wave form image (TDWI). The positive and negative impacts of global and localized smoothing operator shave analyzed and forwarded our conclusions. We used two ...

In order to explore the evolution process of land use and the driving forces of Kirin district of Qujing city, the remote sensing images of which in the three years of 2005, 2010 and 2015 were used as data sources. The classification of the objects was ...

To study simulation and prediction of geographical phenomena changes, the data sets of remote sensing (RS) formedasspatio-temporal series which is used as experimental data to obtain sample points. Construction of a newkernel function was proposed for ...

In the data mining practice, it happens that the algorithm used in mining tasks needs to deal with the multiple distributed data source, while the required datasets are located in different companies or organizations and reside in different system and ...

Morphological component analysis (MCA) is a signal analysis method based on sparse model, its core idea is to represent different components of the signal based on morphological difference of the signal's components. It can separate overlapping texture ...

Along with the development of the industrialization, the pollution becomes more and more serious. Many cities are often shrouded in a pollution haze, which threatens seriously the health of the people. Therefore, it is very necessary to establish a ...

Data stream clustering is becoming the efficient method to cluster an online massive data. The clustering task requires a process capable of partitioning data continuously with incremental learning method. In this paper, we present a new clustering ...

In order to explore the spatial pattern and characteristics of surface information in Erhai Lake basin in Dali city, by using the Landsat 5 and Landsat 8 remote sensing images of which in 2005, 2008, 2011, 2014 and 2017, the surface information of the ...

Virtual machines frequently have various demands of storage I/O and priority. They are desired to operated several services simultaneously in the same system. However, we cannot assure that some virtual machine which required higher I/O bandwidth will ...

Panoramic vision is widely applied in the field of computer vision, such as video -conference, Robotic navigation and Security Monitoring. Omnidirectional vision system can provide image with 360° as a field of view. In many applications, its useful to ...

In order to achieve more secure and privacy-preserving, a new method of cancelable palmprint template generation scheme using noise data is proposed. Firstly, the random projection is used to reduce the dimension of the palmprint image and the reduced ...

In this study, a kind of RF power amplifier for L band radar transmitter was designed, which is an important component of "training platform for performance parameters testing of L band radar transmitters". First, the basic principles of RF amplifiers ...