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Index tracking has become one of the most common strategies in asset management. The index-tracking problem consists of constructing a portfolio that replicates the future performance of an index by including only a subset of the index constituents in the portfolio. Finding the most representative subset is challenging when the number of stocks in the index is large. We introduce a new three-stage...
ENHMM, Evaluation model of Web service health level, is constructed based on multidimensional network performance. The model supports to customize evaluation factors dynamically, and gives the methods of active measurement for the network performance based on the evaluation attributes. To evaluation algorithm, AiNet immune algorithm is used, in which a new mechanism of antibody promotion and suppression...
SIMD (Single Instruction Multiple Data) extension units are ubiquitous in modern processors. Array indirections raise several challenges for SIMD vectorization including disjoint memory access, unknown alignment and dependence cycle. Existing SIMD automatic vectorization methods fail to handle these challenges very well. This paper presents a new method exploiting Pure SLP (Superword Level Parallelism)...
This article designs models and uses computer technology to examine three oscillators in stock market: the Moving Average Convergence Divergence (MACD), the Relative Strength Index (RSI) and the Stochastic Oscillator (KDJ). Based on the 8-year data of Shanghai (SH) Stock Index and Shenzhen (SZ) Stock Index, a buying and selling stock model is built by satisfying all of the three oscillators above...
Individual face detection and identification technologies have improved greatly in terms of accuracy, but there exist challenges of adoption in Consumer Electronic devices due to the lack of large training databases pertaining to the individual. With 1 or 2 images to train about the current user, it is nearly impossible to identify a person's face robustly. So, in this paper we propose the use of...
The popular Structural SIMilarity (SSIM) index has shown to be a good perceptual criterion for testing and optimizing video encoders such as the MPEG-H/H.265 High Efficiency Video Coding (HEVC). However, it is still unclear how to compare two HEVC encoders with a number of bit rates and SSIM values. In this work, we study the video quality comparison of HEVC encoders based on the Bit Rate-SSIM (R-S)...
All the domain and vertical applications are scaled up to the Big Data applications because of the volume, variety, velocity of growing real time data. This necessitates the streamlining and alteration in the business processes, software development methodologies, infrastructure of distributed parallel processing, data modeling, data analysis, applications, services as well on the testing. The traditional...
Ultraviolet radiation (UVR) from the sun can cause major damage to the skin if it is overexposed. The damage can be minor, from a sunburn to accelerated skin aging, to major with the development of detrimental skin cancers. UV photons that are able to bypass the natural defenses of the skin, melanin and DNA, can cause mutagenic damage to DNA, which can result in a range of harmful effects. Relying...
For the problem of limited rule bases and inaccurate matching of Chinese Natural Language Processing (NLP), this paper presents a new NLP method based on Semantic Structure Tree (SST). Through establishing SST, this paper calculates the evaluation index to find out the most suitable semantic combination from all possible SST. In order to improve the semantic recognition recall and precision, this...
Focusing on the new power reform, behavioral models of market participants are established in this paper to describe China's power market in the future and risk factors are listed based on the models. For the risk assessment of market participants, "Stress testing" in financial field is applied to China's power market to present how the risk factors impact on the tested factors.
The Hidden Markov Model trained by Discrete Cosine Transform (DCT-HMM) is a very established method for face recognition. However, traditional ways to judge whether the model is a good model is usually one-sided. In Computation time or error rate, researchers usually consider one of the following: (1) to reduce the error rate or (2) to save the computation time. This paper proposes a novel assessment...
Dynamically substructured system (DSS) technique is increasing recognized in the testing field. A DSS method decomposes an entire system into several substructures, which are tested numerically or physically, but run as a whole like the original system. Thus, the advantages of DSS include flexibility, space-saving, and cost-reduction. In a DSS test, actuators produce unexpected disturbance, when transferring...
It has been planned that the whole region of Slovak Republic's surface would be scanned, and there arose a need for storing the resulting data and making it publicly available. For this purpose, a scalable file-based database system for storing and accessing a large amount of geographic point cloud data was developed. The principle of the system was tested and proved to be sufficient in most situations,...
We show that every non-adaptive property testing algorithm making a constant number of queries, over a fixed alphabet, can be converted to a sample-based (as per [Gold Reich and Ron, 2015]) testing algorithm whose average number of queries is a fixed, smaller than 1, power of n. Since the query distribution of the sample-based algorithm is not dependent at all on the property, or the original algorithm,...
Motivated by distributed inference over big datasets problems, we study multi-terminal distributed hypothesis testing problems in which each terminal has data related to only one random variable. Due to the restriction of one-shot communication, we consider the distributed testing against independence problem when interaction among the encoders are allowed. Subject to type 1 error probability and...
In this paper, the problem of detecting correlated components in a p-dimensional Gaussian vector is considered. In the setup considered, s unknown components are correlated with a known covariance structure. Hence, there are equation possible hypotheses for the unknown set of correlated components. Instead of taking a full-vector observation at each time index, in this paper we assume that the observer...
System Testing is a key technology of CVIS (Cooperative Vehicle Infrastructure System). A shortest test sequence generating approach in CVIS is proposed in this paper. The paper firstly analyzes the spatial-temporal state of vehicle and complexity of infrastructure in network. Then paper designs system features and test cases, and introduces the concept of support index of the test case to system...
Two "heterogeneous" information dissemination networks were established on the basis of sets of actual "rum or information" and "anti-rum or information" dissemination data involving a real micro logging event. Through empirical analysis of degree centrality, between ness centrality and closeness centrality, it was discovered that all three centrality indexes of the two...
Action recognition has been an important and challenging task in computer vision. Existing approaches usually employ pooling operation to encode isolated patches or trajectories and then aggregate them for a compact video presentation. In this paper, we make two contributions towards improving action recognition accuracy and efficiency. First, we study to apply a state-of-the-art pooling technique...
This paper proposes a radial basis function (RBF) network trained using ridge extreme learning machine to predict the future trend from the past stock index values. Here the task of predicting future stock trend i.e. the up and down movements of stock price index values is cast as a classification problem. Recently extreme learning machine (ELM) is used as an efficient learning algorithm for single...
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