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- 저자 : Bihua Tang (검색결과 5 건)
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Bihua Hu,Zhaohong Tang,Zhi Zhang,Jinqing Linghu,Jihong Qian,Xiangyun Qin,Bumin Meng,Rong Han 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.12
Currently, Z-source networks are widely employed to extend the output-voltage range of inverters operating at a low voltage DC source. However, these inverters are troubled by low power-conversion efficiency and an obvious current distortion due to the copper losses and core losses of the inductors. In addition, they have limited voltage levels. In this paper, a novel boost network composed of two power switches, two capacitors, and two diodes is proposed to overcome these shortcomings. Meanwhile, a corresponding modulation strategy is also set forth to achieve capacitor voltage self-balancing and to regulate the output AC voltage. Moreover, by adding more switched-capacitor cells, the range of the output voltage can be further improved, and the max DC/AC-voltage conversion ratio of the inverter with n cells is √3( n + 1)/3. At last, an inverter prototype with a 1 kW power rating is built, and the obtained results demonstrate that this inverter possesses the following superiorities: a wider range of output voltage, automatic balancing of the capacitor voltage, less current distortion, and high-efficiency power conversion.
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Wenhao Fan,Bihua Tang,Yuan’an Liu 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.6
Different with traditional approaches that offload computation to a single remote server, the performance of an application can be further enhanced by simultaneously distributing its computing tasks to multiple computing resources around the mobile terminal. How to effectively multiply partition application components is critical for parallel computation offloading. In this paper, an application multi-partitioning scheme is proposed, which optimally offloads application's components to surrounding resources. A graph mapping model is converted and set up to represent components and resources as undirected graphs, and the A* algorithm is employed to efficiently search the optimal mapping from component graph to resource graph, which minimizes computing costs and inter-resource communication costs. Simulation results demonstrate that the performance can be efficiently promoted by our algorithm, which outperforms the traditional approaches to a large degree.
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Energy Efficient Traffic Allocation for Resource-constrained Multi-homed WSN Gateway
Wenhao Fan,Bihua Tang,Yuan’an Liu 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.10
WSN (Wireless Sensor Network) gateway acts as a bridge between WSN and external networks. Currently, rapid growing demands from various IoTs (Internet of Things) applications are posing critical challenges to the data transmission capability of such gateway. As a promising solution, multi-homed WSN gateway, which is equipped with multiple network interfaces, can obtain enhanced parallel data transmission by jointly utilizing multiple RATs (Radio Access Technologies). However, the multi-homed gateway is a resource-constrained device, so it’s crucial to guarantee the efficiency for both data throughput and resource consumption. Delay and buffer size, simulation results validate that the proposed algorithm can allocate To this end, an energy efficient traffic allocation algorithm for resource-constrained multi-homed WSN gateway is proposed in this paper, which aims at minimizing the gateway's power consumption while guaranteeing the transmission the traffic optimally for the gateway with different constraints and configurations, and it can significantly promote the gateway's energy efficiency in comparison to the traditional method.
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An API Calls Monitoring-based Method for Effectively Detecting Malicious Repackaged Applications
Wenhao Fan,Yuan’an Liu,Bihua Tang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.8
The number of mobile applications on Android platform has largely increased in recent years. The security problems, as one of the outcomes induced by the popularity of Android, become more and more critical. Malicious repackaged applications (MRAs) perform malicious behaviors through malware developers embedding malicious codes into the benign origin applications (BOAs), which threat the security of users’ finance and privacy. In this paper, a method based on API calls monitoring is proposed to effectively detect MRAs. We discuss the characteristics of behaviors and analyze the differences in API calls between MRAs and their BOAs. A MRA detection model is established, which builds up the super-sphere for each BOA via a SVDD algorithm. The model can detect the abnormal behaviors of MRAs which deviate the normal behaviors of corresponding BOAs. Experiments are carried out on imitated and real MRAs, where the results demonstrate the effectiveness of our method for detecting the singly and multiply contaminated BOAs.
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Adaptive Application Component Mapping for Parallel Computation Offloading in Variable Environments
( Wenhao Fan ),( Yuan`an Liu ),( Bihua Tang ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.11
Distinguished with traditional strategies which offload an application`s computation to a single server, parallel computation offloading can promote the performance by simultaneously delivering the computation to multiple computing resources around the mobile terminal. However, due to the variability of communication and computation environments, static application component multi-partitioning algorithms are difficult to maintain the optimality of their solutions in time-varying scenarios, whereas, over-frequent algorithm executions triggered by changes of environments may bring excessive algorithm costs. To this end, an adaptive application component mapping algorithm for parallel computation offloading in variable environments is proposed in this paper, which aims at minimizing computation costs and inter-resource communication costs. It can provide the terminal a suitable solution for the current environment with a low incremental algorithm cost. We represent the application component multi-partitioning problem as a graph mapping model, then convert it into a pathfinding problem. A genetic algorithm enhanced by an elite-based immigrants mechanism is designed to obtain the solution adaptively, which can dynamically adjust the precision of the solution and boost the searching speed as transmission and processing speeds change. Simulation results demonstrate that our algorithm can promote the performance efficiently, and it is superior to the traditional approaches under variable environments to a large extent.
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