All Outputs (14)

A new dynamic path planning approach for unmanned aerial vehicles (2018)
Journal Article
Huang, C., Lan, Y., Liu, Y., Zhou, W., Pei, H., Yang, L., Cheng, Y., Hao, Y., & Peng, Y. (2018). A new dynamic path planning approach for unmanned aerial vehicles. Complexity, 2018, Article 8420294. https://doi.org/10.1155/2018/8420294

Dynamic path planning is one of the key procedures for unmanned aerial vehicles (UAV) to successfully fulfill the diversified missions. In this paper, we propose a new algorithm for path planning based on ant colony optimization (ACO) and artificial... Read More about A new dynamic path planning approach for unmanned aerial vehicles.

A new smart mobile system for chronic wound care management (2018)
Journal Article
Wang, S., Zhang, Q., Huang, W., Tian, H., Hu, J., Cheng, Y., & Peng, Y. (2018). A new smart mobile system for chronic wound care management. IEEE Access, 6, 52355-52365. https://doi.org/10.1109/ACCESS.2018.2864264

Nonhealing wounds pose a major challenge in clinical medicine. Typical chronic wounds, such as diabetic foot ulcers and venous leg ulcers, have brought substantial difficulties to millions of patients around the world. The management of chronic wound... Read More about A new smart mobile system for chronic wound care management.

Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images (2018)
Journal Article
Chen, W., Yang, Z., Cao, F., Yan, Y., Wang, M., Qing, C., & Cheng, Y. (2019). Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. IET Image Processing, 13(2), 299-306. https://doi.org/10.1049/iet-ipr.2018.5419

Dimensionality reduction is of high importance in hyperspectral data processing, which can effectively reduce the data redundancy and computation time for improved classification accuracy. Band selection and feature extraction methods are two widely... Read More about Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images.

An adaptive ensemble approach to ambient intelligence assisted people search (2018)
Journal Article
Xue, D., Wang, X., Zhu, J., Davis, D. N., Wang, B., Zhao, W., Peng, Y., & Cheng, Y. (2018). An adaptive ensemble approach to ambient intelligence assisted people search. Applied System Innovation, 1(3), 1-18. https://doi.org/10.3390/asi1030033

Some machine learning algorithms have shown a better overall recognition rate for facial recognition than humans, provided that the models are trained with massive image databases of human faces. However, it is still a challenge to use existing algor... Read More about An adaptive ensemble approach to ambient intelligence assisted people search.

A hybrid active contour segmentation method for myocardial D-SPECT images (2018)
Journal Article
Huang, C., Shan, X., Lan, Y., Liu, L., Cai, H., Che, W., Hao, Y., Cheng, Y., & Peng, Y. (2018). A hybrid active contour segmentation method for myocardial D-SPECT images. IEEE Access, 6, 39334-39343. https://doi.org/10.1109/ACCESS.2018.2855060

Ischaemic heart disease has become one of the leading causes of mortality worldwide. Dynamic single-photon emission computed tomography (D-SPECT) is an advanced routine diagnostic tool commonly used to validate myocardial function in patients sufferi... Read More about A hybrid active contour segmentation method for myocardial D-SPECT images.

Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data (2018)
Journal Article
Yu, K., Liu, Y., Qing, L., Wang, B., & Cheng, Y. (2018). Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data. IEEE Access, 6, 37568-37580. https://doi.org/10.1109/ACCESS.2018.2852008

With the rapid development of wireless communication and mobile Internet, mobile phone becomes ubiquitous and functions as a versatile and smart system, on which people frequently interact with various mobile applications (Apps). Understanding human... Read More about Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data.

P-CSREC: A New Approach for Personalized Cloud Service Recommendation (2018)
Journal Article
Zhang, C., Li, Z., Li, T., Han, Y., Wei, C., Cheng, Y., & Peng, Y. (2018). P-CSREC: A New Approach for Personalized Cloud Service Recommendation. IEEE Access, 6, 35946-35956. https://doi.org/10.1109/ACCESS.2018.2847631

It is becoming a challenging issue for users to choose a satisfied service to fit their need due to the rapid growing number of cloud services and the vast amount of service type varieties. This paper proposes an effective cloud service recommendatio... Read More about P-CSREC: A New Approach for Personalized Cloud Service Recommendation.

Prior knowledge-based deep learning method for indoor object recognition and application (2018)
Journal Article
Ding, X., Luo, Y., Li, Q., Cheng, Y., Cai, G., Munnoch, R., Xue, D., Yu, Q., Zheng, X., & Wang, B. (2018). Prior knowledge-based deep learning method for indoor object recognition and application. Systems Science and Control Engineering, 6(1), 249-257. https://doi.org/10.1080/21642583.2018.1482477

Indoor object recognition is a key task for indoor navigation by mobile robots. Although previous work has produced impressive results in recognizing known and familiar objects, the research of indoor object recognition for robot is still insufficien... Read More about Prior knowledge-based deep learning method for indoor object recognition and application.

A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum (2018)
Journal Article
Huang, C., Zhou, W., Lan, Y., Chen, F., Hao, Y., Cheng, Y., & Peng, Y. (2018). A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum. IEEE Access, 6, 27726-27735. https://doi.org/10.1109/ACCESS.2018.2840494

With the arrival of the Web 2.0 era and the rapid development of virtual reality (VR) technology in recent years, WebVR technology has emerged as the combination of Web 2.0 and VR. Moreover, the concept of “WebVR + medical science”is also proposed to... Read More about A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum.

A new framework for the integrative analytics of intravascular ultrasound and optical coherence tomography images (2018)
Journal Article
Huang, C., Xie, Y., Lan, Y., Hao, Y., Chen, F., Cheng, Y., & Peng, Y. (2018). A new framework for the integrative analytics of intravascular ultrasound and optical coherence tomography images. IEEE Access, 6, 36408-36419. https://doi.org/10.1109/ACCESS.2018.2839694

Abstract:
The integrative analysis of multimodal medical images plays an important role in the diagnosis of coronary artery disease by providing additional comprehensive information that cannot be found in an individual source image. Intravascular ul... Read More about A new framework for the integrative analytics of intravascular ultrasound and optical coherence tomography images.

CDA: A clustering degree based influential spreader identification algorithm in weighted complex network (2018)
Journal Article
Wang, Q., Ren, J., Wang, Y., Zhang, B., Cheng, Y., & Zhao, X. (2018). CDA: A clustering degree based influential spreader identification algorithm in weighted complex network. IEEE Access, 6, 19550-19559. https://doi.org/10.1109/ACCESS.2018.2822844

Identifying the most influential spreaders in a weighted complex network is vital for optimizing utilization of the network structure and promoting the information propagation. Most existing algorithms focus on node centrality, which consider more co... Read More about CDA: A clustering degree based influential spreader identification algorithm in weighted complex network.

Security feature measurement for frequent dynamic execution paths in software system (2018)
Journal Article
Wang, Q., Ren, J., Yang, X., Cheng, Y., Davis, D. N., & Hu, C. (2018). Security feature measurement for frequent dynamic execution paths in software system. Security and communication networks, 2018, 1-10. https://doi.org/10.1155/2018/5716878

© 2018 Qian Wang et al. The scale and complexity of software systems are constantly increasing, imposing new challenges for software fault location and daily maintenance. In this paper, the Security Feature measurement algorithm of Frequent dynamic e... Read More about Security feature measurement for frequent dynamic execution paths in software system.

A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device (2018)
Journal Article
Abt, G., Yang, D., Cheng, Y., Zhu, J., Xue, D., Abt, G. A., Ye, H., & Peng, Y. (2018). A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device. IEEE Access, 6, 8364-8375. https://doi.org/10.1109/access.2018.2805223

This paper presents a novel approach, Adaptive Spectrum Noise Cancellation (ASNC), for motion artifacts removal in Photoplethysmography (PPG) signals measured by an optical biosensor to obtain clean PPG waveforms for heartbeat rate calculation. One c... Read More about A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device.

An Empirical study on Predicting Blood Pressure using Classification and Regression Trees (2018)
Journal Article
Zhang, B., Wei, Z., Ren, J., Cheng, Y., & Zheng, Z. (2018). An Empirical study on Predicting Blood Pressure using Classification and Regression Trees. IEEE Access, 6, 21758 - 21768. https://doi.org/10.1109/access.2017.2787980

Blood pressure diseases have become one of the major threats to human health. Continuous measurement of blood
pressure has proven to be a prerequisite for effective incident prevention. In contrast with the traditional prediction models with low
meas... Read More about An Empirical study on Predicting Blood Pressure using Classification and Regression Trees.