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A Energy-aware Clustering Algorithm via Game Theory for Wireless Sensor Networks
Yiping Yang,Chuan Lai,Lin Wang,Xiaofan Wang 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
Multihop communication mechanism has been widely employed in wireless sensor networks (WSNs) for its practicability and high energy efficiency. However, hot spots emerge as locations, in which nodes die quickly because of heavy relay load, leading to disruption in network service. Balancing energy consumption of nodes so as to mitigate the hot spot issue in the network is very important for prolonging network lifetime. In this paper, we propose a distributed clustering algorithm, namely Game Theoretic Clustering(GTC), which can approach to the equilibrium of the energy consumption for the wireless network. Especially, the cluster size is determined adaptively based on the game theory and the cooperation between cluster heads. Simulation results show that GTC can balance the energy consumption levels and consequently extend the network lifetime.
Bonding Strength of Conductive Inner-Electrode Layers in Piezoelectric Multilayer Ceramics
Yiping Wang,Ying Yang,Bingjin Zheng,Jing Chen,Jinyi Yao,Yun Sheng 한국전기전자재료학회 2017 Transactions on Electrical and Electronic Material Vol.18 No.4
Multilayer ceramics in which piezoelectric layers of 0.90 Pb(Zr0.48Ti0.52)O3 -0.05 Pb(Mn1/3Sb2/3)O3 -0.05 Pb(Zn1/3Nb2/3)O3(0.90PZT-0.05PMS-0.05PZN) stack alternately with silver electrode layers were prepared by an advanced low-temperatureco-fired ceramic (LTCC) method. The electrical properties and bonding strength of the multilayers were associated with theinterface morphologies between the piezoelectric and silver-electrode layers. Usually, the inner silver electrodes are fabricatedby sintering silver paste in multi-layer stacks. To improve the interface bonding strength, piezoelectric powders of0.90PZT-0.05PMS-0.05PZN with an average particle size of 23 μm were added to silver paste to form a gradient interface. SEMobservation indicated clear interfaces in multilayer ceramics without powder addition. With the increase of piezoelectricpowder addition in the silver paste, gradient interfaces were successfully obtained. The multilayer ceramics with gradientinterfaces present greater bonding strength as well as excellent piezoelectric properties for 30~40 wt% of added powder. Onthe other hand, over addition greatly increased the resistance of the inner silver electrodes, leading to a piezoelectric behaviorlike that of bulk ceramics in multilayers.
Low Power and High Speed Network on Chip Architecture for BP Neural Network
Yiping Dong,Yinghe Li,Yang Wang,Takahiro Watanabe 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
Back Propagation Artificial Neural Network (BP-ANN), one of widely used neural networks, has been used in a lot of areas. Hardware architecture of BP-ANN was proposed by using an NoC (Network on Chip) and implemented on FPGA. In this paper, new NoC architecture which has a torus topology and IXY (Intelligent XY) routing algorithm is developed for BP-ANN to make it low power and high performance. This system is implemented by FPGA to estimate system performance and power consumption. NIRGAM NoC simulator is also used to evaluate latency and throughput of this system. Experimental results show that our proposed architecture can increase Connection Per Second (CPS) about 2 times than existing digital hardware ANN; it can reduce communication load which total packet size can reduce about 3.2 times compared with traditional packet transmit method of BP-ANN. It can reduce latency by 23.7% and dynamic power consumption by 7.2% compare with the former NoC architecture BP-ANN. It is reconfigurable and expandable to meet various ANN applications. Furthermore other type ANNs can also be implemented in the system by adjusting a routing algorithm of NoCs.
Network on Chips Structure for Mapping Two Hidden Layers BP-ANNs
Yiping, Dong,Takahiro, Watanabe 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
Artificial neural networks (ANNs) are widely used in various applications such as recognition, security, computer learning and so on. A two hidden layers Back-Propagation ANN (BP-ANN) is a typical one. But BP-ANNs are hard to be implemented in hardware due to interconnections and cost. Recently, Networkson-Chips (NoCs) where a packet-based network is used routing on-chip signals, have begun to attract as a smart structure to solve the interconnect problem. It can also map one or more logical units into a single physical hardware unit and connect with on router. In this paper we propose a system with NoCs structure to mapping 5 neurons in one router for the two hidden layers BP-ANNs. Our system is evaluated for the latency and throughput using NIRGAM NoCs simulator, and is implemented on an FPGA device to estimate system performance and power consumption. Experimental results show that our proposed system has a great reduction in communication load, low latency and a high throughput. It is also reconfigurable and expandable to meet various NN application problems, and besides, not only BP-ANNs but also a random-connected ANNs or any type ANNs can be implemented in the system by adjusting a routing algorithm of NoC.
Study on Pedestrian Dynamics in Stairwell Based on Circle-Based Floor Field
Yiping Zeng,Rui Ye 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.12
Due to constraint land, more and more high-rise buildings are built in cities. It is unsafe to evacuate by elevators, thus stairs has an important impact on evacuation. So it is of great significance to analyze evacuation in stairwell. However, few researchers could reproduce occupant arc trajectories at the mid-landing in stairwell. A stair model based on circle-based floor field (Stair Circle-based Optimal Step Model – SCOSM) is proposed to investigate human performance in stairwell, in which occupants could make a turn with a certain point and move like as an arc. SCOSM is testified to validate by comparing simulated results and experimental datasets in respect of whole evacuation time and net person for each floor. What is more, the model is used to study the effect of interface. It is found when width of stairs (S1) is equal to the width of mid-landing (S2), pedestrian flow is dominated by the width of mid-landing (S2). As for effect of stair geometry on merging, structures except scenario a are inclined to preferring occupants from floor. The studies in this paper could help offer engineers a technical foundation for codes and fire protection design.
Fabrication, Densification and Thermionic Emission Property of Lanthanum Hexaboride
Yiping Yu,Song Wang,Wei Li,Hongmei Chen,Zhaohui Chen 대한금속·재료학회 2018 ELECTRONIC MATERIALS LETTERS Vol.14 No.5
An effective way to improve sintering densification of LaB6was proposed and confirmed experimentally. Firstly, LaB6nanopowders with a cube-like shape of ~ 94.7 nm were fabricated by molten salt synthesis route at 800 °C for 1 h. Then,LaB6bulk material of 98% density was prepared by hot pressing sintering of as-synthesized LaB6nanopowders under1800 °C/50 MPa/30 min. The acquired LaB6bulk material had a work function of 2.87 eV and exhibited an excellentthermionic emission property. The saturation emission current density at 1500 and 1600 °C reached 37.4 and 44.3 A/cm2,respectively.
Multiple Network-on-Chip Model for High Performance Neural Network
Yiping Dong,Ce Li, Zhen Lin,Takahiro Watanabe 대한전자공학회 2010 Journal of semiconductor technology and science Vol.10 No.1
Hardware implementation methods for Artificial Neural Network (ANN) have been researched for a long time to achieve high performance. We have proposed a Network on Chip (NoC) for ANN, and this architecture can reduce communication load and increase performance when an implemented ANN is small. In this paper, a multiple NoC models are proposed for ANN, which can implement both a small size ANN and a large size one. The simulation result shows that the proposed multiple NoC models can reduce communication load, increase system performance of connection-per-second (CPS), and reduce system running time compared with the existing hardware ANN. Furthermore, this architecture is reconfigurable and reparable. It can be used to implement different applications of ANN.
Yiping Chen,김창녕 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.60 No.-
This study numerically examines the mixing performance of a new magneto-hydrodynamic (MHD) mixer for two different electrolyte solutions under a uniform magnetic field. The electrodes deposited on the duct wall with different voltages induce the current, creating Lorentz force under a uniform magnetic field, which makes the fluids move for pumping and mixing without additional pumps. Differently from previous designs, the proposed micro-mixer works as a simultaneous micro-pump and micro-mixer with the electrodes distributed peripherally in a screw-driving manner on the walls. The highest mixing index of 0.999 is obtained, which indicates the micromixer can achieve a highly-efficient mixing performance.