期刊文献+
共找到5篇文章
< 1 >
每页显示 20 50 100
Opportunistic Routing for Time-Variety and Load-Balance over Wireless Sensor Networks
1
作者 Nan Ding guozhen tan Wei Zhang 《Wireless Sensor Network》 2010年第9期718-723,共6页
To aware the topology of wireless sensor networks (WSN) with time-variety, and load-balance the resource of communication and energy, an opportunistic routing protocol for WSN based on Opportunistic Routing Entropy an... To aware the topology of wireless sensor networks (WSN) with time-variety, and load-balance the resource of communication and energy, an opportunistic routing protocol for WSN based on Opportunistic Routing Entropy and ant colony optimization, called ACO-TDOP, is proposed. At first, based on the second law of thermo-dynamics, we introduce the concept of Opportunistic Routing Entropy which is a parameter representing the transmission state of each node by taking into account the power left and the distance to the sink node. Then, it is proved that the problem of route thinking about Opportunistic Routing Entropy is shown to be NP-hard. So the protocol, ACO-TDOP, is proposed. At last, numerical results confirm that the ACO-TDOP is energy conservative and throughput gainful compared with other two existing routing protocols, and show that it is efficacious to analyze and uncover fundamental of message transmission with Opportunistic Routing in wireless network using the second law of thermodynamics. 展开更多
关键词 WIRELESS Sensor Network Load-balance Time-variety OPPORTUNISTIC ROUTING ENTROPY
下载PDF
Critical Value Aware Data Acquisition Strategy in Wireless Sensor Networks
2
作者 Ran Bi guozhen tan Xiaolin Fang 《国际计算机前沿大会会议论文集》 2017年第2期36-38,共3页
To monitor the physical world, Equi-Frequency Sampling (EFS) methods are widely applied for data acquisition in sensor networks.Due to the noise and inherent uncertainty of the environment,EFS based data acquisition m... To monitor the physical world, Equi-Frequency Sampling (EFS) methods are widely applied for data acquisition in sensor networks.Due to the noise and inherent uncertainty of the environment,EFS based data acquisition may result in misconception to the physical world, and high frequency scheme produces massive sensed data, which consumes substantial cost for transmission. This paper proposes a novel sensed data model. Based on maximum likelihood estimation, the model can minimize measurement error. It is proved that the proposed model is asymptotic unbiased. Furthermore, this paper proposes Model based Adaptive Data Collection (MADC) Algorithm and designs a distributed lightweight computation algorithm named Distributed Adaptive Data Collection Algorithm (DADC). Based on the error of prediction, both algorithms can adaptively adjust the cycle of data collection. Performance evaluation verifies that the proposed algorithms have high performance in terms of accuracy and effectiveness. 展开更多
关键词 Data model ADAPTIVE COLLECTION SENSOR NETWORKS
下载PDF
Topical treatment of tyrosine kinase 2 inhibitor through borneol-embedded hydrogel:Evaluation for preventive,therapeutic,and Recurrent management of psoriasis
3
作者 Yuhsien Lai Xuesong Wu +13 位作者 Zhuoyu Jiang Yifei Fang Xiuting Liu Dan Hong Yanyun Jiang guozhen tan Shiqi tang Siyao Lu David Wei Sam T.Hwang Kit S.Lam Liangchun Wang Yanyu Huang Zhenrui Shi 《Bioactive Materials》 SCIE CSCD 2024年第11期83-95,共13页
Psoriasis,an immune-mediated inflammatory skin disorder characterized by a chronically relapsing-remitting course,continues to be primarily managed through topical therapy.While oral administration of tyrosine kinase ... Psoriasis,an immune-mediated inflammatory skin disorder characterized by a chronically relapsing-remitting course,continues to be primarily managed through topical therapy.While oral administration of tyrosine kinase 2 inhibitors(TYK2i)stands as an effective approach for psoriasis treatment,the potential efficacy of topical application of TYK2i remains unexplored.Herein,the carbomer/alginic acid hydrogel is embedded with borneol(BO)as a new topical carrier of TYK2i for achieving enhanced transdermal permeation and anti-psoriasis efficacy.The hydrogel system,i.e.,TYK2i-BO-gel,exhibits significantly improved preventative and therapeutic effects in mice models of psoriasiform dermatitis,as evidenced by phenotypical images,psoriasis severity score index(PSI),histology,immunohistochemical staining,and PCR analysis.Remarkably,TYK2i-BO-gel outperforms conventional topical corticosteroid therapy by significantly preventing psoriatic lesion recurrence as measured by a nearly 50%reduction in ear thickness changes(p<0.0001),PSI(p<0.0001)and epidermal thickness(p<0.05).Moreover,a strengthened anti-inflammatory effect caused by TYK2i-BO-gel is seen in a human skin explant model,implying its potential application for human patients.With the addition of BO,the TYK2i-BO-gel not only increases skin permeability but also inhibits the expression of antimicrobial peptides in keratinocytes and facilitates the anti-Th17 response of TYK2i with suppressed activation of STAT3.Therefore,this work represents the accessibility and effectiveness of TYK2i-BO-hydrogel as a new topical formulation for anti-psoriasis management and shows great potential for clinical application. 展开更多
关键词 PSORIASIS Topical hydrogel Transdermal delivery Tyrosine kinase 2 inhibitor BORNEOL
原文传递
GACS:Generative Adversarial Imitation Learning Based on Control Sharing 被引量:1
4
作者 Huaiwei SI guozhen tan +1 位作者 Dongyu LI Yanfei PENG 《Journal of Systems Science and Information》 CSCD 2023年第1期78-93,共16页
Generative adversarial imitation learning(GAIL)directly imitates the behavior of experts from human demonstration instead of designing explicit reward signals like reinforcement learning.Meanwhile,GAIL overcomes the d... Generative adversarial imitation learning(GAIL)directly imitates the behavior of experts from human demonstration instead of designing explicit reward signals like reinforcement learning.Meanwhile,GAIL overcomes the defects of traditional imitation learning by using a generative adversary network framework and shows excellent performance in many fields.However,GAIL directly acts on immediate rewards,a feature that is reflected in the value function after a period of accumulation.Thus,when faced with complex practical problems,the learning efficiency of GAIL is often extremely low and the policy may be slow to learn.One way to solve this problem is to directly guide the action(policy)in the agents'learning process,such as the control sharing(CS)method.This paper combines reinforcement learning and imitation learning and proposes a novel GAIL framework called generative adversarial imitation learning based on control sharing policy(GACS).GACS learns model constraints from expert samples and uses adversarial networks to guide learning directly.The actions are produced by adversarial networks and are used to optimize the policy and effectively improve learning efficiency.Experiments in the autonomous driving environment and the real-time strategy game breakout show that GACS has better generalization capabilities,more efficient imitation of the behavior of experts,and can learn better policies relative to other frameworks. 展开更多
关键词 generative adversarial imitation learning reinforcement learning control sharing deep reinforcement learning
原文传递
Utility Aware Offloading for Mobile-Edge Computing 被引量:3
5
作者 Ran Bi Qian Liu +1 位作者 Jiankang Ren guozhen tan 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2021年第2期239-250,共12页
Mobile-edge computing casts the computation-intensive and delay-sensitive applications of mobile devices onto network edges.Task offloading incurs extra communication latency and energy cost,and extensive efforts have... Mobile-edge computing casts the computation-intensive and delay-sensitive applications of mobile devices onto network edges.Task offloading incurs extra communication latency and energy cost,and extensive efforts have focused on offloading schemes.Many metrics of the system utility are defined to achieve satisfactory quality of experience.However,most existing works overlook the balance between throughput and fairness.This study investigates the problem of finding an optimal offloading scheme in which the objective of optimization aims to maximize the system utility for leveraging between throughput and fairness.Based on Karush-Kuhn-Tucker condition,the expectation of time complexity is analyzed to derive the optimal scheme.A gradient-based approach for utility-aware task offloading is given.Furthermore,we provide an increment-based greedy approximation algorithm with 1+1/(e-1)ratio.Experimental results show that the proposed algorithms can achieve effective performance in utility and accuracy. 展开更多
关键词 UTILITY approximation algorithm quality of experience mobile edge computing
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部