13 results on '"Tan, Zhiyuan"'
Search Results
2. Diversity of endophytic diazotrophs isolated from Oryza alta
- Author
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Liping Liu, Guixiang Peng, Fu Zhang, Xiuxiang Zhang, Tan Zhiyuan, and Ruifeng Song
- Subjects
Ecology ,media_common.quotation_subject ,Botany ,Diazotroph ,Biology ,Oryza alta ,Ecology, Evolution, Behavior and Systematics ,Nature and Landscape Conservation ,Diversity (politics) ,media_common - Published
- 2020
3. Zero-Shot Voice Conversion with Adjusted Speaker Embeddings and Simple Acoustic Features
- Author
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Junhai Xu, Jianguo Wei, Tan Zhiyuan, Wenhuan Lu, and Yuqing He
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Signal processing ,ComputingMethodologies_PATTERNRECOGNITION ,Naturalness ,Similarity (geometry) ,Artificial neural network ,Computer science ,Speech recognition ,Representation (mathematics) ,Identity (music) ,Decoding methods ,Zero (linguistics) - Abstract
Zero-shot voice conversion (VC) where both source and target speakers are unseen in the training dataset has become a new research direction. Using speaker embeddings instead of one-hot vectors to represent speaker identity is a key point, which makes VC models work on unseen speakers. In our work, a newly designed neural network was used to adjust the speaker embeddings of unseen speakers. This enables speaker embeddings to perform better on zero-shot VC. In addition, disentangled representation of features is the mainstream method to achieve zero-shot VC. In terms of input features of VC model, we use Mel-cepstral and F0 as simple acoustic features (SAF) rather than Mel-spectrograms. This avoids F0 conflicts in decoder that existed in the previous methods. The evaluations demonstrate that our proposed methods improve the quality of converted speech in terms of naturalness and similarity.
- Published
- 2021
4. Ni(OH)2 nanoflakes supported on 3D hierarchically nanoporous gold/Ni foam as superior electrodes for supercapacitors
- Author
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Yaohua Liang, Liu Liying, Zhicong Shi, Jun Liu, Zhang Zouxin, Xi Ke, Tan Zhiyuan, Zaiping Guo, and Yifeng Cheng
- Subjects
Supercapacitor ,Materials science ,Nanoporous ,Alloy ,chemistry.chemical_element ,02 engineering and technology ,Current collector ,engineering.material ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Electrochemistry ,01 natural sciences ,0104 chemical sciences ,Nickel ,Chemical engineering ,chemistry ,Electrode ,engineering ,General Materials Science ,0210 nano-technology ,Porosity - Abstract
The increasing demand for portable electronic devices and hybrid electric vehicles stimulates the development of supercapacitors as an advanced energy storage system. Here, we demonstrate a binder-free nickel hydroxide@nanoporous gold/Ni foam (Ni(OH)2@NPG/Ni foam) electrode for high-performance supercapacitors, which is prepared by a facile three-step fabrication route including electrodeposition of Au-Sn alloy on Ni foam, chemical dealloying of Sn and electrodepostion of Ni(OH)2 on NPG/Ni foam. Such Ni(OH)2@ NPG/Ni foam electrode is composed of a thin layer of conformable Ni(OH)2 nanoflakes supported on three-dimensional (3D) hierarchically porous NPG/Ni foam substrate. The resulting Ni(OH)2@NPG/Ni foam electrode can offer highways for both electron transfer and ion transport and lead to an excellent electrochemical performance with an ultrahigh specific capacitance of 3,380 F g–1 at a current density of 2 A g–1. Even when the current density was increased to 50 A g–1, it still retained a high capacitance of 1,927 F g–1. The promising performance of the Ni(OH)2@NPG/Ni foam electrode is mainly ascribed to the 3D hierarchical porosity and the highly conductive network on the NPG/Ni foam composite current collector, as well as the conformal electrodeposition of Ni(OH)2 active material on the NPG/Ni foam, which induces the formation of interconnected porosity both on the top surface and on the inner surface of the electrode. This inspiring electrochemical performance would make the as-designed electrode material become one of the most promising candidates for future electrochemical energy storage systems.
- Published
- 2017
5. Discovering Encrypted Bot and Ransomware Payloads Through Memory Inspection Without A Priori Knowledge
- Author
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McLaren, Peter, Buchanan, William J, Russell, Gordon, and Tan, Zhiyuan
- Subjects
FOS: Computer and information sciences ,ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS ,Computer Science - Cryptography and Security ,Software_OPERATINGSYSTEMS ,Cryptography and Security (cs.CR) - Abstract
Malware writers frequently try to hide the activities of their agents within tunnelled traffic. Within the Kill Chain model the infection time is often measured in seconds, and if the infection is not detected and blocked, the malware agent, such as a bot, will often then set up a secret channel to communicate with its controller. In the case of ransomware the communicated payload may include the encryption key used for the infected host to register its infection. As a malware infection can spread across a network in seconds, it is often important to detect its activities on the air, in memory and at-rest. Malware increasingly uses encrypted channels for communicating with their controllers. This paper presents a new approach to discovering the cryptographic artefacts of real malware clients that use cryptographic libraries of the Microsoft Windows operating system. This enables malware secret communications to be discovered without any prior malware knowledge.
- Published
- 2019
- Full Text
- View/download PDF
6. Heterogeneous Services Provisioning in Small Cell Networks with Cache and Mobile Edge Computing
- Author
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Tan, Zhiyuan, Yu, F. Richard, Li, Xi, Ji, Hong, and Leung, Victor C. M.
- Subjects
Computer Science - Networking and Internet Architecture ,Networking and Internet Architecture (cs.NI) ,FOS: Computer and information sciences - Abstract
In the area of full duplex (FD)-enabled small cell networks, limited works have been done on consideration of cache and mobile edge communication (MEC). In this paper, a virtual FD-enabled small cell network with cache and MEC is investigated for two heterogeneous services, high-data-rate service and computation-sensitive service. In our proposed scheme, content caching and FD communication are closely combined to offer high-data-rate services without the cost of backhaul resource. Computing offloading is conducted to guarantee the delay requirement of users. Then we formulate a virtual resource allocation problem, in which user association, power control, caching and computing offloading policies and resource allocation are jointly considered. Since the original problem is a mixed combinatorial problem, necessary variables relaxation and reformulation are conducted to transfer the original problem to a convex problem. Furthermore, alternating direction method of multipliers (ADMM) algorithm is adopted to obtain the optimal solution. Finally, extensive simulations are conducted with different system configurations to verify the effectiveness of the proposed scheme.
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- 2017
- Full Text
- View/download PDF
7. Experimental research on independently-tunable-cell thermionic cathode RF gun
- Author
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谭志远 Tan Zhiyuan, 张浩 Zhang Hao, 王汉斌 Wang Hanbin, 甘孔银 Gan Kongyin, 杨兴繁 Yang Xingfan, 李涛 Li Tao, 黎明 Li Ming, 刘宇 Liu Yu, 胡和平 Hu Heping, 单李军 Shan Lijun, 陈天才 Chen Tiancai, 沈旭明 Shen Xuming, and 柏伟 Bai Wei
- Subjects
Materials science ,business.industry ,law ,Optoelectronics ,Electrical and Electronic Engineering ,Hot cathode ,business ,Atomic and Molecular Physics, and Optics ,Experimental research ,Electron gun ,law.invention - Published
- 2013
8. Multivariate correlation analysis technique based on euclidean distance map for network traffic characterization
- Author
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Tan, Zhiyuan, Jamdagni, Aruna, He, Xiangjian, Nanda, Priyadarsi, Liu, Ren Ping, Qing, Sihan, Susilo, Willy, Wang, Guilin, and Liu, Dongmei
- Subjects
Multivariate statistics ,Euclidean distance map ,EWI-25314 ,Second-order Statistics ,Computer science ,Feature vector ,SCS-Cybersecurity ,Characterization ,Euclidean Distance Map ,Feature extraction ,IR-92853 ,Characterization (mathematics) ,computer.software_genre ,Discriminative model ,Feature (computer vision) ,Denial-of-Service Attack ,Multivariate correlation analysis ,Multivariate Correlations ,Artificial Intelligence & Image Processing ,Data mining ,computer - Abstract
The quality of feature has significant impact on the performance of detection techniques used for Denial-of-Service (DoS) attack. The features that fail to provide accurate characterization for network traffic records make the techniques suffer from low accuracy in detection. Although researches have been conducted and attempted to overcome this problem, there are some constraints in these works. In this paper, we propose a technique based on Euclidean Distance Map (EDM) for optimal feature extraction. The proposed technique runs analysis on original feature space (first-order statistics) and extracts the multivariate correlations between the first-order statistics. The extracted multivariate correlations, namely second-order statistics, preserve significant discriminative information for accurate characterizations of network traffic records, and these multivariate correlations can be the high-quality potential features for DoS attack detection. The effectiveness of the proposed technique is evaluated using KDD CUP 99 dataset and experimental analysis shows encouraging results. © 2011 Springer-Verlag.
- Published
- 2011
9. Denial-of-service attack detection based on multivariate correlation analysis
- Author
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Tan, Zhiyuan, Jamdagni, Aruna, He, Xiangjian, Nanda, Priyadarsi, Liu, Ren Ping, Lu, Bao-Liang, Zhang, Liqing, and Kwok, James
- Subjects
Computer science ,Reliability (computer networking) ,SCS-Cybersecurity ,EWI-25313 ,Euclidean Distance Map ,Denial-of-service attack ,IR-92852 ,computer.software_genre ,Information hiding ,Denial-of-Service Attack ,Multivariate correlation analysis ,Multivariate Correlations ,Anomaly Detection ,Anomaly detection ,Artificial Intelligence & Image Processing ,Data mining ,False positive rate ,computer - Abstract
The reliability and availability of network services are being threatened by the growing number of Denial-of-Service (DoS) attacks. Effective mechanisms for DoS attack detection are demanded. Therefore, we propose a multivariate correlation analysis approach to investigate and extract second-order statistics from the observed network traffic records. These second-order statistics extracted by the proposed analysis approach can provide important correlative information hiding among the features. By making use of this hidden information, the detection accuracy can be significantly enhanced. The effectiveness of the proposed multivariate correlation analysis approach is evaluated on the KDD CUP 99 dataset. The evaluation shows encouraging results with average 99.96% detection rate and 2.08% false positive rate. Comparisons also show that our multivariate correlation analysis based detection approach outperforms some other current researches in detecting DoS attacks. © 2011 Springer-Verlag.
- Published
- 2011
10. 1:43.4 fractional-turn ratio pulse transformer
- Author
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张浩 Zhang Hao, 李涛 Li Tao, 胡和平 Hu Heping, 谭志远 Tan Zhiyuan, 甘孔银 Gan Kongyin, 黎明 Li Ming, and 张德泉 Zhang Dequan
- Subjects
Pulse transformer ,Materials science ,business.industry ,Linear variable differential transformer ,Turn (geometry) ,Flyback transformer ,Electrical engineering ,Electrical and Electronic Engineering ,business ,Transformer effect ,Atomic and Molecular Physics, and Optics - Published
- 2011
11. 细菌聚类新方法: ddT聚类技术分析香根草联合固氮菌多样性
- Author
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ZhiYing ZHANG, ZeMin ZHANG, XianWei ZHAO, GuiXiang PENG, GuiQuan TAN ZhiYuan ZHANG, and YongXiong QIU
- Subjects
Multidisciplinary ,business.industry ,media_common.quotation_subject ,Botany ,Nitrogen fixation ,Biology ,business ,Cluster analysis ,Diversity (politics) ,media_common ,Biotechnology - Published
- 2010
12. Diversity of endophytic diazotrophs isolated fromBambusa blumeanain Guangdong province
- Author
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Chen Shi-Xian, Xu Zhi-Jun, Tan ZhiYuan, Peng GuiXiang, and How Wei
- Subjects
Bambusa blumeana ,Bamboo ,biology ,Escherichia ,Pseudomonas ,Botany ,Diazotroph ,Proteobacteria ,biology.organism_classification ,16S ribosomal RNA ,Agronomy and Crop Science ,Microbial inoculant ,Biotechnology - Abstract
Endophytic bacteria isolated from Guangdong bamboo (Bambusa blumeana) plants were obtained under aerobic and anaerobic cultural conditions. Using the acetylene reduction assay (ARA), 40 strains were identified as diazotrophs. Diazotrophic isolates were grouped into five clusters (I, II, III, IV and V) by SDS-PAGE whole-cell protein patterns. The analysis of full-length 16S rDNA sequences of the representative strains of each group indicated that the endophytic diazotrophs showed great diversity and belonged to the generaAzospirillum(α-subclass of proteobacteria),EscherichiaandPseudomonas(γ-subclass of proteobacteria), andAquaspirillum(β-subclass of proteobacteria).
- Published
- 2007
13. Mahalanobis Distance Map Approach for Anomaly Detection
- Author
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Jamdagnil, Aruna, Tan, Zhiyuan, Nanda, Priyadarsi, He, Xiangjian, and Liu, Ren Ping
- Subjects
Computer System Security - Abstract
Proceedings of the 8th Australian Information Security Mangement Conference, Edith Cowan University, Perth Western Australia, 30th November 2010, Web servers and web-based applications are commonly used as attack targets. The main issues are how to prevent unauthorised access and to protect web servers from the attack. Intrusion Detection Systems (IDSs) are widely used security tools to detect cyber-attacks and malicious activities in computer systems and networks. In this paper, we focus on the detection of various web-based attacks using Geometrical Structure Anomaly Detection (GSAD) model and we also propose a novel algorithm for the selection of most discriminating features to improve the computational complexity of payload-based GSAD model. Linear Discriminant method (LDA) is used for the feature reduction and classification of the incoming network traffic. GSAD model is based on a pattern recognition technique used in image processing. It analyses the correlations between various payload features and uses Mahalanobis Distance Map (MDM) to calculate the difference between normal and abnormal network traffic. We focus on the detection of generic attacks, shell code attacks, polymorphic attacks and polymorphic blending attacks. We evaluate accuracy of GSAD model experimentally on the real-world attacks dataset created at Georgia Institute of Technology. We conducted preliminary experiments on the DARPA 99 dataset to evaluate the accuracy of feature reduction.
- Published
- 2010
- Full Text
- View/download PDF
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