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More and more medical data are shared, which leads to disclosure of personal privacy information. Therefore, the construction of medical data privacy preserving publishing model is of great value: not only to make a non-correspondence between the released information and personal identity, but also to maintain the data utility after anonymity. However, there is an inherent contradiction between the...
In order to effectively control the risk of software project and overcome the effect of lack data and human subjective factors in the traditional evaluation, the transformation of quantification and reduction of natural language is realized, so a new evaluation model is put forward. Based on the concepts of risk weight, expert trust, risk consequence and so on, we use the correlation coefficient to...
Whether the variable selection is accurate or not affect the accuracy and generalization ability of the model. The traditional variable selection method is difficult to maintain a high stability under high collinearity. In order to solve the problem, we propose a new method MICFS (Feature Select based on Maximal Information Coefficient), which combines the maximum information coefficient with the...
In order to study coastal intensive large-scale wind farm output characteristics and interrelatedness, take large-scale wind farm in coastal Jiangsu as an example, based on the measured wind power output data in EMS systems correlation between wind farms and the active output probability distributions, the monthly maximum output were analyzed. Studied the active output fluctuations of wind farms and...
Magnitude-only resting-state fMRI data have been largely investigated via independent component analysis (ICA) for exacting spatial maps (SMs) and time courses. However, the native complex-valued fMRI data have rarely been studied. Motivated by the significant improvements achieved by ICA of complex-valued task fMRI data than magnitude-only task fMRI data, we present an efficient method for de-noising...
This paper proposes an improved technique to calculate the Envelope Correlation Coefficient (ECC) by directly using the spherical mode spectrum of the antenna under test. The technique avoids errors due to numerical pattern integration and simplifies post-processing for near-field measurements. The technique is successfully tested on two different antenna types, in the total number of four MIMO configurations.
Security is one of the crucial requirements of the multimedia communication which can be achieved by using encryption. Encryption algorithms based on chaos generally satisfy the basic requirements of the cryptosystem such as simplicity, high sensitivity, fast speed, high security etc. In this paper, chaos based speech encryption algorithm is proposed which employs modified Henon map and sine map....
Semantic similarity measures using Gene Ontology (GO) assess the semantic similarity between two proteins on the basis of their respective GO annotations, which represent specific features of the proteins. Proteins will interact with greater likelihood if they have greater number of similar GO annotations. In this paper, we design a semantic similarity measure by combining topological features of...
We proposed man-made underwater landmark and acoustic beam-based landmark detection method. Beams in multi-beam sonar are independent each other, and each beam can be assumed as a feature to distinguish interesting area. When beam passes the object, the column array of sonar image is composed highlighted and shadow areas. Using these property, it is possible to recognize the underwater landmark by...
The efficiency of communication system is the key factor for the operational capability of naval ship. Through analyzing the evaluation index of naval fleet's communication system, a satisfactory-degree based on efficiency evaluation model is founded by applying the grey relational analysis. The steps of the model include gathering index data based on index tree, constituting the reference sequence...
The ECG signal, has attracted more attention due to its importance in diagnosing conditions. Now days T-wave alternans (TWA) has been used to forecast Sudden Cardiac death (SCD). TWA is the beat-to-beat alterations changing in the T-wave amplitude. A new method is used in this paper to detect these alternans waves more exactly and quickly with heart rate calculation by RR-interval in ECG. This algorithm...
Recent trends and also statistics show that the hashing concept has been gaining importance because its application lies in the area of authentication, retrieval and recognition. The proposed hashing method CCQ-CSLBP (Compressed CSLBP with Correlation Coefficient) for authentication utilized correlation coefficient as a weight factor in CSLBP. CSLBP is a texture operator, whose performance is better...
Wi-Fi has been widely deployed with the rapid development of wireless communication technique. Wi-Fi hotspots are popular in campus, making convenient wireless network access possible. However, during class teaching, in order to avoid students browsing the web based on Wi-Fi hotspots and distracting, we hope Wi-Fi hotspots adaptively shield network access to students in the classroom, while grant...
Through the analysis of the reliability and validity for historical data of the students' evaluation of teaching, it is found that teacher-centered evaluation index system is the main reason for the decrease of the reliability and validity of the evaluation results. Therefore, a new evaluation index system with the students as the subject is constructed on the basis of extensive solicit their opinions,...
This study focuses on using ultrasound (US) biomarkers for characterizing myopathies and in particular myositis. US offers an opportunity to deliver diagnostics in clinical settings at a fraction of the cost and discomfort entailed in current workflows. US is also better suited for usage in under-resourced environments. This paper is focused on studying the link between biomarkers related to absolute...
Link prediction in complex network often focuses on the single network in many fields and develops a lot of methods. However, the relationship between two dependent networks with specific global structure has hardly caught attention, but only the local topology analysis. In this paper, we aim to infer the correlation of two high dimensional dependent networks based on the similar nodes' attributes...
It is known that the muscles actuate human hand joints with a coordinated manner and the hand postures can be reconstructed by a few (usually two) inputs through postural synergies, which has been applied in robotic hand design for reproducing the human versatile grasp function. As for the mechanical implementation, in terms of the joints implemented postural synergies, due to the excessive number...
Measures of complex network analysis, such as vertex centrality, have the potential to unveil existing network patterns and behaviors. They contribute to the understanding of networks and their components by analyzing their structural properties, which makes them useful in several computer science domains and applications. Unfortunately, there is a large number of distinct centrality measures and...
A system for automatically evaluating singing enthusiasm is proposed in this study. The definition of singing enthusiasm is how much enthusiasm is perceived in a song being evaluated. This system evaluates the singing enthusiasm on the basis of pitch accuracy, vibrato, diminuendo, roughness, and the correlation between pitch and loudness. A support vector regression (SVR) machine is used for the evaluation...
SM4 is a 128-bit block cipher used in the WAPI (Wireless LAN Authentication and Privacy Infrastructure) standard for protecting data packets in WLAN. This paper proposes a novel method of CPA (Correlation Power Analysis) on SM4 based on chosen-plaintext. Using SM4 as target algorithm, Sakura-G FPGA board as hardware verification platform, we only collect 1000 power consumption waveforms to obtain...
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