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- research-articleJanuary 2025
A Classification of benign and malignant lung nodules based on feature fusion and improved random forest
ISAIMS '24: Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine SciencePages 478–485https://doi.org/10.1145/3706890.3706973To improve the accuracy of benign and malignant classification of lung nodules in CT images, a method based on feature fusion and improved random forest is proposed to classify benign and malignant lung nodules. First, the high-order features of lung ...
- ArticleAugust 2023
Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block
Advanced Intelligent Computing Technology and ApplicationsPages 70–84https://doi.org/10.1007/978-981-99-4742-3_6AbstractRecently, massive architectures based on Convolutional Neural Network (CNN) and self-attention mechanisms have become necessary for audio classification. While these techniques are state-of-the-art, these works’ effectiveness can only be ...
- ArticleAugust 2023
Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-K Selection Discriminator
Advanced Intelligent Computing Technology and ApplicationsPages 283–295https://doi.org/10.1007/978-981-99-4742-3_23AbstractDespite consistent advancement in powerful deep learning techniques in recent years, large amounts of training data are still necessary for the models to avoid overfitting. Synthetic datasets using generative adversarial networks (GAN) have ...
- research-articleApril 2023
Self-Supervised Interest Recommendation Based Intelligent System Design on Mental Health Education
RICAI '22: Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial IntelligencePages 779–784https://doi.org/10.1145/3584376.3584515Mental health education plays an important role for psychological health of college students. It is worth exploring how to effectively carry out mental health education online courses, give full play to the advantages of online courses. With the rapid ...
- research-articleOctober 2018
Medical applications of electrical tomography
2018 IEEE International Conference on Imaging Systems and Techniques (IST)Pages 1–6https://doi.org/10.1109/IST.2018.8577200While electrical capacitance tomography (ECT) and electrical impedance tomography (EIT) have found many successful industrial applications, only recently, research into medical applications of ECT and EIT were carried out at University of Manchester and ...
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- research-articleFebruary 2016
Throughput Assurance for Multiple Body Sensor Networks
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 27, Issue 2Pages 546–557https://doi.org/10.1109/TPDS.2015.2408611Existing research has demonstrated that inter-body sensor network (inter-BSN) information sharing among coexisting BSNs can enhance applications’ performance and save energy. However, how to achieve effective inter-BSN information sharing through ...
- articleSeptember 2013
Communication Energy Modeling and Optimization through Joint Packet Size Analysis of BSN and WiFi Networks
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 24, Issue 9Pages 1741–1751https://doi.org/10.1109/TPDS.2012.264In this paper, we present an optimal packet size solution that optimizes the communication energy consumption in the heterogeneous wireless networks. More specifically, we consider a heterogeneous network system composed of a body sensor network (BSN) ...
- ArticleApril 2013
AdaSense: Adapting sampling rates for activity recognition in Body Sensor Networks
RTAS '13: Proceedings of the 2013 IEEE 19th Real-Time and Embedded Technology and Applications Symposium (RTAS)Pages 163–172https://doi.org/10.1109/RTAS.2013.6531089In a Body Sensor Network (BSN) activity recognition system, sensor sampling and communication quickly deplete battery reserves. While reducing sampling and communication saves energy, this energy savings usually comes at the cost of reduced recognition ...
- articleJanuary 2013
A Self-Adaptive Spectrum Management Middleware for Wireless Sensor Networks
- Robert Thompson,
- Gang Zhou,
- Lei Lu,
- Sudha Krishnamurthy,
- Hover Dong,
- Xin Qi,
- Yantao Li,
- Matthew Keally,
- Zhen Ren
Wireless Personal Communications: An International Journal (WPCO), Volume 68, Issue 1Pages 131–151https://doi.org/10.1007/s11277-011-0443-zThe vision of the Internet of Things, wherein everyday objects are embedded with smart wireless sensor devices, is making these sensor devices increasingly pervasive. As the density of their deployment in overlapping or adjacent areas increases, the ...
- doctoral_thesisJanuary 2012
Towards confident body sensor networking
With the recent technology advances of wireless communication and lightweight low-power sensors, Body Sensor Network (BSN) is made possible. More and more researchers are interested in developing numerous novel BSN applications, such as remote health/...
- ArticleNovember 2011
Energy modeling and optimization through joint packet size analysis of BSN and WiFi networks
PCCC '11: Proceedings of the 30th IEEE International Performance Computing and Communications ConferencePages 1–8https://doi.org/10.1109/PCCC.2011.6108089In this paper, we propose to optimize energy consumption in heterogeneous wireless networks through joint packet size optimization. Specifically, we consider a two-hop data communication system composed of a body sensor network (BSN) and a WiFi network. ...
- research-articleSeptember 2011
SiFi: exploiting VoIP silence for WiFi energy savings insmart phones
UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computingPages 325–334https://doi.org/10.1145/2030112.2030157Since one-third of a smart phone's battery energy is consumed by its WiFi interface, it is critical to switch the WiFi radio from its active or Constantly Awake Mode (CAM), which draws high power (726mW with screen off), to its sleep or Power Save Mode (...
- ArticleAugust 2011
Recognition Algorithm of Laser Echo Signal in Tuyere Raceway Based on Multiwavelet Denoising and ICA
ICDMA '11: Proceedings of the 2011 Second International Conference on Digital Manufacturing & AutomationPages 889–892https://doi.org/10.1109/ICDMA.2011.220Laser measurement of echo signal in Tuyere Raceway is characterized by significant randomness. To extract the edge signal in Tuyere Raceway, the paper started by the testing of laser echo signal on its chaotic nature, aiming to identify its ...
- ArticleMarch 2010
Tracking skype VoIP calls over the internet
Peer-to-peer (P2P) VoIP calls such as those provided by Skype have been becoming popular due to their quality-of-service, free of cost, security and convenience. Skype is a distributed P2P network with no centralized call servers. Calls traverse through ...
- ArticleAugust 2009
- ArticleDecember 2008
Secure Video Multicast Based on Desynchronized Fingerprint and Partial Encryption
IWDW '07: Proceedings of the 6th International Workshop on Digital WatermarkingPages 335–349https://doi.org/10.1007/978-3-540-92238-4_26Recently, a collusion resilient video fingerprint method has been proposed utilizing desynchronization. But a question has not been considered for this method: secure transmission for multicast / broadcast. Because every copies using this method have ...
- ArticleAugust 2008
Combination of Wavelet snd SIFT Features for Image Classification Using Trained Gaussion Mixture Model
IIH-MSP '08: Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal ProcessingPages 79–82https://doi.org/10.1109/IIH-MSP.2008.76This paper presents an effective combination of Wavelet-based features and SIFT features. For the combined feature patches extracted from images we then adopt the PCA transformation to reduce the dimensionality of their feature vectors. And the reduced ...
- ArticleJuly 2008
Frequency and Space Domain Features for Image Classification Using Gaussian Mixture Models
ICESSSYMPOSIA '08: Proceedings of the 2008 International Conference on Embedded Software and Systems SymposiaPages 441–446https://doi.org/10.1109/ICESS.Symposia.2008.33This paper presents an effective combination of Wavelet-based features and SIFT features, both of them have the frequency domain and space domain information characteristic. For the combined feature patches extracted from images we then adopt the PCA ...
- articleJuly 2008
Power quality disturbance identification using wavelet packet energy entropy and weighted support vector machines
Expert Systems with Applications: An International Journal (EXWA), Volume 35, Issue 1-2Pages 143–149https://doi.org/10.1016/j.eswa.2007.06.005In this paper, wavelet packet energy entropy and weighted support vector machines are used to automatically detect and classify power quality (PQ) disturbances. Electric power quality is an aspect of power engineering that has been with us since the ...
- ArticleJune 2007
Secure Media Distribution Scheme Based on Chaotic Neural Network
ISNN '07: Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural NetworksPages 79–87https://doi.org/10.1007/978-3-540-72393-6_11A secure media distribution scheme is proposed in this paper, which distributes different copy of media content to different customer in a secure manner. At the sender side, media content is encrypted with a chaotic neural network based cipher under the ...