This paper studies a detection method of targets of high resolution radar operating at the band of millimeter-wave(32-38GHz) under the background of the clutters, and proposes a new nonparametric detection method, whi...This paper studies a detection method of targets of high resolution radar operating at the band of millimeter-wave(32-38GHz) under the background of the clutters, and proposes a new nonparametric detection method, which not only does less computation, but also is able to detect multiple extended targets radially distributed along distance "corridor", based on the position (range) correlation information of one-dimensional range images(or called range profiles) of high resolution radar targets. The experimental results, on the real echo data of tank illuminated by the millimeter-wave stepped frequency high resolution radar, have certified that such a method presented in this paper is a very effective detection method for multiple extended targets.展开更多
Objectives: MRI is the most sensitive modality for local staging of breast cancer. Herceptin receptor over-expression is seen in 15% - 30% of breast tumours, and is associated with increased aggression, poorer prognos...Objectives: MRI is the most sensitive modality for local staging of breast cancer. Herceptin receptor over-expression is seen in 15% - 30% of breast tumours, and is associated with increased aggression, poorer prognosis, higher grade at diagnosis and increased lymphatic dissemination. This study aimed at evaluating the role of MRI in Herceptin receptor positive vs negative tumours. Methods: 193 pre-operative MRIs were performed in 2021 for staging of 162 Her-2 negative and 37 Her-2 positive tumours. Recall rates and further biopsies (ipsilateral/contralateral) were assessed in both groups, and MRI largest size was compared to pathological size of invasive cancer and DCIS. Results: 36.4% of Her-2 negative tumours were recalled;further ipsilateral malignancy was identified in 13.6%. Contralateral malignancy was identified in 1.2%. 29.7% of Her-2 positive tumours were recalled;further ipsilateral malignancy was identified in 16.2%. No contralateral malignancy was seen in Her-2 positive tumours. The OR of Her-2 positive tumours having ipsilateral foci of malignancy on MRI is 0.83 (CI 0.3, 2.2). Pathological size concordance with MRI size was seen in 70.3% of Her-2 negative, and 48.6% of Her-2 positive tumours. Discordance in both groups was due to MRI size overestimation (70.8% of Her-2 negative discordance;89.4% of Her-2 positive discordance). Conclusions: Pre-operative MRI did not detect significant increased additional foci in Her-2 positive tumours. Significant concordance with pathological size was not seen in both groups;MRI overestimation was the most frequent cause for discordance in both groups. Advances in Knowledge: This study compares MRI features of Her-2 positive and Her-2 negative tumours. It demonstrates that there is no significant increased multifocality or multicentricity of Her-2 positive tumours, but MRI over-estimates size in 30% of Her-2 negative and 51% of Her-2 positive cancers.展开更多
The relative content of Pb and its correlation were investigated in endosperm, aleurone layer and pericarp respectively among different wheat varieties for specific end-uses (WVFSE) using scanning electron microscope ...The relative content of Pb and its correlation were investigated in endosperm, aleurone layer and pericarp respectively among different wheat varieties for specific end-uses (WVFSE) using scanning electron microscope (SEM) equipped with the energy dispersive X-ray spectroscope (EDS). The results showed that Pb contents in grains at different positions followed the order of endosperm > pericarp > aleurone. The differences of Pb contents varied among the WVFSE, and wheat with strong gluten had a highest average content of Pb, while wheat with medium gluten had a lowest one. There were significant third order equation correlations between Pb content in endosperm and that in aleurone layer and that in pericarp, respectively. And good correlation coefficients were obtained. However, the correlation differed at different position among WVFSE, which indicated that Pb contents in endosperm, aleurone layer and pericarp were regulated by each other.展开更多
In this work, Kendall correlation based collaborative filtering algorithms for the recommender systems are proposed. The Kendall correlation method is used to measure the correlation amongst users by means of consider...In this work, Kendall correlation based collaborative filtering algorithms for the recommender systems are proposed. The Kendall correlation method is used to measure the correlation amongst users by means of considering the relative order of the users＇ ratings. Kendall based algorithm is based upon a more general model and thus could be more widely applied in e-commerce. Another discovery of this work is that the consideration of only positive correlated neighbors in prediction, in both Pearson and Kendall algorithms, achieves higher accuracy than the consideration of all neighbors, with only a small loss of coverage.展开更多
With the continuous development of network technology,various large-scale cyber-attacks continue to emerge.These attacks pose a severe threat to the security of systems,networks,and data.Therefore,how to mine attack p...With the continuous development of network technology,various large-scale cyber-attacks continue to emerge.These attacks pose a severe threat to the security of systems,networks,and data.Therefore,how to mine attack patterns from massive data and detect attacks are urgent problems.In this paper,an approach for attack mining and detection is proposed that performs tasks of alarm correlation,false-positive elimination,attack mining,and attack prediction.Based on the idea of CluStream,the proposed approach implements a flow clustering method and a two-step algorithm that guarantees efficient streaming and clustering.The context of an alarm in the attack chain is analyzed and the LightGBM method is used to perform falsepositive recognition with high accuracy.To accelerate the search for the filtered alarm sequence data to mine attack patterns,the PrefixSpan algorithm is also updated in the store strategy.The updated PrefixSpan increases the processing efficiency and achieves a better result than the original one in experiments.With Bayesian theory,the transition probability for the sequence pattern string is calculated and the alarm transition probability table constructed to draw the attack graph.Finally,a long-short-term memory network and embedding word-vector method are used to perform online prediction.Results of numerical experiments show that the method proposed in this paper has a strong practical value for attack detection and prediction.展开更多
Apriori algorithm is often used in traditional association rules mining,searching for the mode of higher frequency.Then the correlation rules are obtained by detected the correlation of the item sets,but this tends to...Apriori algorithm is often used in traditional association rules mining,searching for the mode of higher frequency.Then the correlation rules are obtained by detected the correlation of the item sets,but this tends to ignore low-support high-correlation of association rules.In view of the above problems,some scholars put forward the positive correlation coefficient based on Phi correlation to avoid the embarrassment caused by Apriori algorithm.It can dig item sets with low-support but high-correlation.Although the algorithm has pruned the search space,it is not obvious that the performance of the running time based on the big data set is reduced,and the correlation pairs can be meaningless.This paper presents an improved mining algorithm with new association rules based on interestingness for correlation pairs,using an upper bound on interestingness of the supersets to prune the search space.It greatly reduces the running time,and filters the meaningless correlation pairs according to the constraints of the redundancy.Compared with the algorithm based on the Phi correlation coefficient,the new algorithm has been significantly improved in reducing the running time,the result has pruned the redundant correlation pairs.So it improves the mining efficiency and accuracy.展开更多
A new approach that bounds the largest eigenvalue of 3 × 3 correlation matrices is presented. Optimal bounds by given determinant and trace of the squared correlation matrix are derived and shown to be more strin...A new approach that bounds the largest eigenvalue of 3 × 3 correlation matrices is presented. Optimal bounds by given determinant and trace of the squared correlation matrix are derived and shown to be more stringent than the optimal bounds by Wolkowicz and Styan in specific cases.展开更多
In this paper the authors explore the Global Positioning System （GPS） signal acquisition and tracking algorithms used in software GPS receiver. Acquisition time is the most important parameter in evaluating the perf...In this paper the authors explore the Global Positioning System （GPS） signal acquisition and tracking algorithms used in software GPS receiver. Acquisition time is the most important parameter in evaluating the performance of a software GPS receiver in terms of its speed. A trade-off study is done to seek a good balance between the acquisition accuracy and the processing time. The frequency-domain acquisition method by circular correlation, used in a software GPS receiver, has been improved by studying the power spectrum of the Coarse Acquisition （C/A） code alone. The analysis of C/A code reveals that its power spectrum is symmetrical; hence only half the points are required to perform circular correlation. Besides, either half of the spectrum is asymmetrical where a larger amount of power is concentrated in almost one-quarter of the spectrum on its either sides. This further reduces the number of points used to perform correlation. Comparative results of MATLAB simulation of full-size, half-size and quarter-size circular correlation done on actual data stored on hard disk are provided, and they agree with those obtained using GPS receiver. Further reduction in acquisition time has been achieved by investigating the effect of length of the noncoherent pre-integration period. The improved acquisition methods pave way for further development of new algorithms to enhance software GPS receiver performance.展开更多
文摘This paper studies a detection method of targets of high resolution radar operating at the band of millimeter-wave(32-38GHz) under the background of the clutters, and proposes a new nonparametric detection method, which not only does less computation, but also is able to detect multiple extended targets radially distributed along distance "corridor", based on the position (range) correlation information of one-dimensional range images(or called range profiles) of high resolution radar targets. The experimental results, on the real echo data of tank illuminated by the millimeter-wave stepped frequency high resolution radar, have certified that such a method presented in this paper is a very effective detection method for multiple extended targets.
文摘Objectives: MRI is the most sensitive modality for local staging of breast cancer. Herceptin receptor over-expression is seen in 15% - 30% of breast tumours, and is associated with increased aggression, poorer prognosis, higher grade at diagnosis and increased lymphatic dissemination. This study aimed at evaluating the role of MRI in Herceptin receptor positive vs negative tumours. Methods: 193 pre-operative MRIs were performed in 2021 for staging of 162 Her-2 negative and 37 Her-2 positive tumours. Recall rates and further biopsies (ipsilateral/contralateral) were assessed in both groups, and MRI largest size was compared to pathological size of invasive cancer and DCIS. Results: 36.4% of Her-2 negative tumours were recalled;further ipsilateral malignancy was identified in 13.6%. Contralateral malignancy was identified in 1.2%. 29.7% of Her-2 positive tumours were recalled;further ipsilateral malignancy was identified in 16.2%. No contralateral malignancy was seen in Her-2 positive tumours. The OR of Her-2 positive tumours having ipsilateral foci of malignancy on MRI is 0.83 (CI 0.3, 2.2). Pathological size concordance with MRI size was seen in 70.3% of Her-2 negative, and 48.6% of Her-2 positive tumours. Discordance in both groups was due to MRI size overestimation (70.8% of Her-2 negative discordance;89.4% of Her-2 positive discordance). Conclusions: Pre-operative MRI did not detect significant increased additional foci in Her-2 positive tumours. Significant concordance with pathological size was not seen in both groups;MRI overestimation was the most frequent cause for discordance in both groups. Advances in Knowledge: This study compares MRI features of Her-2 positive and Her-2 negative tumours. It demonstrates that there is no significant increased multifocality or multicentricity of Her-2 positive tumours, but MRI over-estimates size in 30% of Her-2 negative and 51% of Her-2 positive cancers.
文摘The relative content of Pb and its correlation were investigated in endosperm, aleurone layer and pericarp respectively among different wheat varieties for specific end-uses (WVFSE) using scanning electron microscope (SEM) equipped with the energy dispersive X-ray spectroscope (EDS). The results showed that Pb contents in grains at different positions followed the order of endosperm > pericarp > aleurone. The differences of Pb contents varied among the WVFSE, and wheat with strong gluten had a highest average content of Pb, while wheat with medium gluten had a lowest one. There were significant third order equation correlations between Pb content in endosperm and that in aleurone layer and that in pericarp, respectively. And good correlation coefficients were obtained. However, the correlation differed at different position among WVFSE, which indicated that Pb contents in endosperm, aleurone layer and pericarp were regulated by each other.
基金Supported by the National Natural Science Foun-dation of China (60573095)
文摘In this work, Kendall correlation based collaborative filtering algorithms for the recommender systems are proposed. The Kendall correlation method is used to measure the correlation amongst users by means of considering the relative order of the users＇ ratings. Kendall based algorithm is based upon a more general model and thus could be more widely applied in e-commerce. Another discovery of this work is that the consideration of only positive correlated neighbors in prediction, in both Pearson and Kendall algorithms, achieves higher accuracy than the consideration of all neighbors, with only a small loss of coverage.
基金This work is supported by the National Key R&D Program of China(2016QY05X1000)the National Natural Science Foundation of China(Grant No.201561402137).
文摘With the continuous development of network technology,various large-scale cyber-attacks continue to emerge.These attacks pose a severe threat to the security of systems,networks,and data.Therefore,how to mine attack patterns from massive data and detect attacks are urgent problems.In this paper,an approach for attack mining and detection is proposed that performs tasks of alarm correlation,false-positive elimination,attack mining,and attack prediction.Based on the idea of CluStream,the proposed approach implements a flow clustering method and a two-step algorithm that guarantees efficient streaming and clustering.The context of an alarm in the attack chain is analyzed and the LightGBM method is used to perform falsepositive recognition with high accuracy.To accelerate the search for the filtered alarm sequence data to mine attack patterns,the PrefixSpan algorithm is also updated in the store strategy.The updated PrefixSpan increases the processing efficiency and achieves a better result than the original one in experiments.With Bayesian theory,the transition probability for the sequence pattern string is calculated and the alarm transition probability table constructed to draw the attack graph.Finally,a long-short-term memory network and embedding word-vector method are used to perform online prediction.Results of numerical experiments show that the method proposed in this paper has a strong practical value for attack detection and prediction.
基金This research was supported by the National Natural Science Foundation of China under Grant No.61772280by the China Special Fund for Meteorological Research in the Public Interest under Grant GYHY201306070by the Jiangsu Province Innovation and Entrepreneurship Training Program for College Students under Grant No.201810300079X.
文摘Apriori algorithm is often used in traditional association rules mining,searching for the mode of higher frequency.Then the correlation rules are obtained by detected the correlation of the item sets,but this tends to ignore low-support high-correlation of association rules.In view of the above problems,some scholars put forward the positive correlation coefficient based on Phi correlation to avoid the embarrassment caused by Apriori algorithm.It can dig item sets with low-support but high-correlation.Although the algorithm has pruned the search space,it is not obvious that the performance of the running time based on the big data set is reduced,and the correlation pairs can be meaningless.This paper presents an improved mining algorithm with new association rules based on interestingness for correlation pairs,using an upper bound on interestingness of the supersets to prune the search space.It greatly reduces the running time,and filters the meaningless correlation pairs according to the constraints of the redundancy.Compared with the algorithm based on the Phi correlation coefficient,the new algorithm has been significantly improved in reducing the running time,the result has pruned the redundant correlation pairs.So it improves the mining efficiency and accuracy.
文摘A new approach that bounds the largest eigenvalue of 3 × 3 correlation matrices is presented. Optimal bounds by given determinant and trace of the squared correlation matrix are derived and shown to be more stringent than the optimal bounds by Wolkowicz and Styan in specific cases.
文摘In this paper the authors explore the Global Positioning System （GPS） signal acquisition and tracking algorithms used in software GPS receiver. Acquisition time is the most important parameter in evaluating the performance of a software GPS receiver in terms of its speed. A trade-off study is done to seek a good balance between the acquisition accuracy and the processing time. The frequency-domain acquisition method by circular correlation, used in a software GPS receiver, has been improved by studying the power spectrum of the Coarse Acquisition （C/A） code alone. The analysis of C/A code reveals that its power spectrum is symmetrical; hence only half the points are required to perform circular correlation. Besides, either half of the spectrum is asymmetrical where a larger amount of power is concentrated in almost one-quarter of the spectrum on its either sides. This further reduces the number of points used to perform correlation. Comparative results of MATLAB simulation of full-size, half-size and quarter-size circular correlation done on actual data stored on hard disk are provided, and they agree with those obtained using GPS receiver. Further reduction in acquisition time has been achieved by investigating the effect of length of the noncoherent pre-integration period. The improved acquisition methods pave way for further development of new algorithms to enhance software GPS receiver performance.
