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IGAA : An Efficient Optimization Technique for RFID Network Topology Design in Internet of Things
Po-Jen Chuang,Wei-Ting Tsai 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.1
Most RFID applications in the Internet of Things (IoTs) use multiple readers to read the IDs of multiple tags and form the RFID network. In such a network, unguarded reader deployment may generate over-crowded readers, cause interferences and, as a result, increases the deployment cost while degrading tag detection. Seeing that desirable reader deployment is crucial for RFID system performance, this paper introduces an optimization-based IGAA approach which outperforms existing RFID topology designs by turning up more favorable reader deployment and system performance. The new approach employs an advanced multi-objective fitness function and improved genetic annealing algorithms (GAA) to pursue a better RFID topology design. By involving an improved gene-stirring operation to help preserve good genes and locate optimal solutions for reader deployment, it is simple in operation but effective in practice. Experimental evaluation shows that when compared with related approaches, IGAA can yield better solution quality with less search time.
Geometry Optimization of a Metallic Flexor for Flat Wipers
Huang Ting Chuan,Tsai Jian Wei,Liao Kuo Chi 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.3
In recent years, flat wipers are gradually adopted in the industry of transportation due to the rather simple structure than the standard wiper. A procedure is developed to evaluate the appropriateness of the geometry of a metallic flexor, one of major components of the flat wiper, in this study. The flexor is compressed against a level surface and the corresponding pressure distribution under the flexor is measured by using piezoelectric sensors. Several geometry parameters built in a three-dimensional flexor model are investigated to appraise their influences on the corresponding pressure distribution. A process automation software linked to a computer-aided drawing and a finite element analysis commercial packages are utilized, based on the self-defined performance index, to pursue parameter arrangements proper for the pressure distribution. The present procedures are next applied to a curved windshield glass to evaluate optimized flexor geometries at various locations. Appropriate flexors for the windshield glass are then determined and practically sampled. Dynamic wiping simulations of the integrated flat wiper on the windshield glass are furthermore carried out and the pressure distributions over the sweep range are estimated. Wiping capabilities of the wiper are experimentally observed and compared with the associated numerical results.
Training-free neural architecture search: A review
Wu Meng-Ting,Tsai Chun-Wei 한국통신학회 2024 ICT Express Vol.10 No.1
The goal of neural architecture search (NAS) is to either downsize the neural architecture and model of a deep neural network (DNN), adjust a neural architecture to improve its end result, or even speed up the whole training process. Such improvements make it possible to generate or install the model of a DNN on a small device, such as a device of internet of things or wireless sensor network. Because most NAS algorithms are time-consuming, finding out a way to reduce their computation costs has now become a critical research issue. The training-free method (also called the zero-shot learning) provides an alternative way to estimate how good a neural architecture is more efficiently during the process of NAS by using a lightweight score function instead of a general training process to avoid incurring heavy costs. This paper starts with a brief discussion of DNN and NAS, followed by a brief review of both model-dependent and model-independent training-free score functions. A brief introduction to the search algorithms and benchmarks that were widely used in a training-free NAS will also be given in this paper. The changes, potential, open issues, and future trends of this research topic are then addressed in the end of this paper.
Nerve growth factor upregulates sirtuin 1 expression in cholestasis: a potential therapeutic target
Ming-Shian Tsai,Po-Huang Lee,Cheuk-Kwan Sun,Ting-Chia Chiu,Yu-Chun Lin,I-Wei Chang,Po-Han Chen,Ying-Hsien Kao 생화학분자생물학회 2018 Experimental and molecular medicine Vol.50 No.-
This study investigated the regulatory role of nerve growth factor (NGF) in sirtuin 1 (SIRT1) expression in cholestatic livers. We evaluated the expression of NGF and its cognate receptors in human livers with hepatolithiasis and the effects of NGF therapy on liver injury and hepatic SIRT1 expression in a bile duct ligation (BDL) mouse model. Histopathological and molecular analyses showed that the hepatocytes of human diseased livers expressed NGF, proNGF (a precursor of NGF), TrkA and p75NTR, whereas only p75NTR was upregulated in hepatolithiasis, compared with non-hepatolithiasis livers. In the BDL model without NGF therapy, p75NTR, but not TrkA antagonism, significantly deteriorated BDL-induced liver injury. By contrast, the hepatoprotective effect of NGF was abrogated only by TrkA and not by p75NTR antagonism in animals receiving NGF therapy. Intriguingly, a positive correlation between hepatic SIRT1 and NGF expression was found in human livers. In vitro studies demonstrated that NGF upregulated SIRT1 expression in mouse livers and human Huh-7 and rodent hepatocytes. Both NGF and proNGF induced protective effects against hydrogen peroxide-induced cytotoxicity in Huh-7 cells, whereas inhibition of TrkA and p75NTR activity prevented oxidative cell death. Mechanistically, NGF, but not proNGF, upregulated SIRT1 expression in human Huh-7 and rodent hepatocytes via nuclear factor (NF)-κB activity, whereas NGF-induced phosphoinositide-3 kinase/Akt, extracellular signal–regulated kinase and NF-κB signaling and SIRT1 activity were involved in its hepatoprotective effects against oxidative injury. These findings suggest that pharmacological manipulation of the NGF/SIRT1 axis might serve as a novel approach for the treatment of cholestatic disease.
NOP: An Efficient Non-optimization-based Method for RFID Network Topology Design
Po-jen Chuang,Wei-Ting Tsai 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.12
For Radio Frequency IDentification (RFID) applications in Internet of Things, proper reader deployment is important because unguarded deployment may cause reader-to-tag or reader-to-reader interferences, incurring huge deployment cost. Current RFID topology designs are optimization-based whose heuristic search for optimal or sub-optimal solutions may take much complexity and whose improper utilization or concurrent consideration on the involved objectives may generate unfavorable results. To pursue more desirable reader deployment for RFID networks, this paper presents an efficient new topology design – NOP. NOP involves a Non-OPtimization practice to avoid the tediously long heuristic search in optimization-based methods and gives proper sequential considerations on involved objectives to avoid improper objective utilization. The conducted experimental evaluation shows that our NOP method can produce better reader deployment by reduced complexity. Specifically, it outperforms optimization-based methods, such as GA, GAA and IGAA, by yielding higher fitness values at less processing time and deployment cost.
Dynamic stability analysis of laminated composite plates in thermal environments
Chun-Sheng Chen,Wei-Ren Chen,Ting-Chiang Tsai,Ching-Long Wei,이재홍,전찬기 국제구조공학회 2013 Steel and Composite Structures, An International J Vol.15 No.1
This paper studies the dynamic instability of laminated composite plates under thermal and arbitrary in-plane periodic loads using first-order shear deformation plate theory. The governing partial differential equations of motion are established by a perturbation technique. Then, the Galerkin method is applied to reduce the partial differential equations to ordinary differential equations. Based on Bolotin's method, the system equations of Mathieu-type are formulated and used to determine dynamic instability regions of laminated plates in the thermal environment. The effects of temperature, layer number, modulus ratio and load parameters on the dynamic instability of laminated plates are investigated. The results reveal that static and dynamic load, layer number, modulus ratio and uniform temperature rise have a significant influence on the thermal dynamic behavior of laminated plates.