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Search Results: 1 - 10 of 4736 matches for " Yen Hsu "
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The Research for Exploring Product Design Characteristics by SEM via Correlated Innovation and Design Strategy  [PDF]
Yen Hsu
American Journal of Industrial and Business Management (AJIBM) , 2013, DOI: 10.4236/ajibm.2013.31002
Abstract:

Managers at NPD departments of Taiwan consumer electronic industry were interviewed to explore the effects innovation strategy (IS) has on design strategy (DS) and finally on product design characteristics (DC). The fitness of theoretical models and the observed data was examined. A questionnaire survey was conducted. 1300 enterprises in Taiwanconsumer electronic industry were randomly selected as the survey pool. At last, 370 effective questionnaires were collected. Their responses on the questionnaires were analyzed to test the fitness of the model with structural equation modeling analysis (SEM). A proper fitness was found for the correlation theoretical model of IS, DS, DC, and the observed data. In enterprises, IS will influence product DC, and at the same time, IS will influence product DC through DS. Among these three variables, DS serves as an independent variable and intervene variable to DC.

Registration Accuracy and Quality of Real-Life Images
Wei-Yen Hsu
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0040558
Abstract: Background A common registration problem for the application of consumer device is to align all the acquired image sequences into a complete scene. Image alignment requires a registration algorithm that will compensate as much as possible for geometric variability among images. However, images captured views from a real scene usually produce different distortions. Some are derived from the optic characteristics of image sensors, and others are caused by the specific scenes and objects. Methodology/Principal Findings An image registration algorithm considering the perspective projection is proposed for the application of consumer devices in this study. It exploits a multiresolution wavelet-based method to extract significant features. An analytic differential approach is then proposed to achieve fast convergence of point matching. Finally, the registration accuracy is further refined to obtain subpixel precision by a feature-based modified Levenberg-Marquardt method. Due to its feature-based and nonlinear characteristic, it converges considerably faster than most other methods. In addition, vignette compensation and color difference adjustment are also performed to further improve the quality of registration results. Conclusions/Significance The performance of the proposed method is evaluated by testing the synthetic and real images acquired by a hand-held digital still camera and in comparison with two registration techniques in terms of the squared sum of intensity differences (SSD) and correlation coefficient (CC). The results indicate that the proposed method is promising in registration accuracy and quality, which are statistically significantly better than other two approaches.
Optimization-Based Channel Constrained Data Aggregation Routing Algorithms in Multi-Radio Wireless Sensor Networks
Hong-Hsu Yen
Sensors , 2009, DOI: 10.3390/s90604766
Abstract: In wireless sensor networks, data aggregation routing could reduce the number of data transmissions so as to achieve energy efficient transmission. However, data aggregation introduces data retransmission that is caused by co-channel interference from neighboring sensor nodes. This kind of co-channel interference could result in extra energy consumption and significant latency from retransmission. This will jeopardize the benefits of data aggregation. One possible solution to circumvent data retransmission caused by co-channel interference is to assign different channels to every sensor node that is within each other’s interference range on the data aggregation tree. By associating each radio with a different channel, a sensor node could receive data from all the children nodes on the data aggregation tree simultaneously. This could reduce the latency from the data source nodes back to the sink so as to meet the user’s delay QoS. Since the number of radios on each sensor node and the number of non-overlapping channels are all limited resources in wireless sensor networks, a challenging question here is to minimize the total transmission cost under limited number of non-overlapping channels in multi-radio wireless sensor networks. This channel constrained data aggregation routing problem in multi-radio wireless sensor networks is an NP-hard problem. I first model this problem as a mixed integer and linear programming problem where the objective is to minimize the total transmission subject to the data aggregation routing, channel and radio resources constraints. The solution approach is based on the Lagrangean relaxation technique to relax some constraints into the objective function and then to derive a set of independent subproblems. By optimally solving these subproblems, it can not only calculate the lower bound of the original primal problem but also provide useful information to get the primal feasible solutions. By incorporating these Lagrangean multipliers as the link arc weight, the optimization-based heuristics are proposed to get energy-efficient data aggregation tree with better resource (channel and radio) utilization. From the computational experiments, the proposed optimization-based approach is superior to existing heuristics under all tested cases.
A Practical Approach Based on Analytic Deformable Algorithm for Scenic Image Registration
Wei-Yen Hsu
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0066656
Abstract: Background Image registration is to produce an entire scene by aligning all the acquired image sequences. A registration algorithm is necessary to tolerance as much as possible for intensity and geometric variation among images. However, captured image views of real scene usually produce unexpected distortions. They are generally derived from the optic characteristics of image sensors or caused by the specific scenes and objects. Methods and Findings An analytic registration algorithm considering the deformation is proposed for scenic image applications in this study. After extracting important features by the wavelet-based edge correlation method, an analytic registration approach is then proposed to achieve deformable and accurate matching of point sets. Finally, the registration accuracy is further refined to obtain subpixel precision by a feature-based Levenberg-Marquardt (FLM) method. It converges evidently faster than most other methods because of its feature-based characteristic. Conclusions We validate the performance of proposed method by testing with synthetic and real image sequences acquired by a hand-held digital still camera (DSC) and in comparison with an optical flow-based motion technique in terms of the squared sum of intensity differences (SSD) and correlation coefficient (CC). The results indicate that the proposed method is satisfactory in the registration accuracy and quality of DSC images.
Ubiquitous Integrity via Network Integration and Parallelism—Sustaining Pedestrian/Bike Urbanism
Li-Yen Hsu
Algorithms , 2013, DOI: 10.3390/a6030459
Abstract: Nowadays, due to the concern regarding environmental issues, establishing pedestrian/bike friendly urbanism is widely encouraged. To promote safety-assured, mobile communication environments, efficient, reliable maintenance, and information integrity need to be designed, especially in highly possibly interfered places. For busy traffic areas, regular degree-3 dedicated short range communication (DSRC) networks are safety and information featured with availability, reliability, and maintainability in paths of multi-lanes. For sparsely populated areas, probes of wireless sensors are rational, especially if sensor nodes can be organized to enhance security, reliability, and flexibility. Applying alternative network topologies, such as spider-webs, generalized honeycomb tori, and cube-connected cycles, for comparing and analyzing is proposed in DSRC and cellular communications to enhance integrity in communications.
Health-promoting behavior is positively associated with diabetic control among type 2 diabetes patients  [PDF]
Chia-Pei Chen, Yun-Shing Peng, Hsu-Huei Weng, Hsiao-Yun Yen, Mei-Yen Chen
Open Journal of Nursing (OJN) , 2013, DOI: 10.4236/ojn.2013.32037
Abstract:

Background: The increasing prevalence of type 2 diabetes mellitus (T2DM) poses a major public health challenge throughout the world. It is a major healthcare issue among the elderly. This study was to identify the association between the health promoting behaviors and the diabetic control of type 2 diabetes mellitus (T2DM) patients. Methods: Cross sectional and descriptive research designs were used in this study. Participants were enrolled from three medical centers in northern, central and southern Taiwan during August, 2010 and June, 2011. The instruments encompassed biochemical indicators, and the preliminary developed scale of diabetes mellitus and health promotion (DMHP). Results: A total of 323 participants with T2DM were included in this study. The results showed 1) a high percentage of the participants used cigarette smoking, alcohol drinking and betel nut chewing, which were not conducive to adopting health promoting behaviors; 2) a high percentage of patients showed abnormal blood glucose, dyslipidemia, and elevated blood pressure; 3) few of the participants practiced ideally health promoting behaviors; and 4) practicing health-promoting behavior was positively associated with fasting blood glucose (FBG) and HbA1c levels. Conclusions: Patients with higher health promotion scores had better diabetic control. Less physical activity was found among those addicted to cigarette, alcohol and betel nut consumption. The findings suggest that health care providers should assess health promoting behaviors first for each diabetic patient.

Neural network-based clustering using pairwise constraints
Yen-Chang Hsu,Zsolt Kira
Computer Science , 2015,
Abstract: In this work, we address the problem of finding a clustering of high-dimensional data using only pairwise constraints provided as input. Our strategy utilizes the back-propagation algorithm for optimizing neural networks to discover the clusters, while at the same time the features are also learned during the same training process. In order to do this, we design a novel architecture that can incorporate cost functions associated with KL divergence in order to minimize distance for similar pairs while maximizing the distance for dissimilar pairs. We also propose an efficient implementation that optimizes the parameters of the architecture more efficiently than a naive implementation, e.g. via Siamese networks. Experiments on Mnist and Cifar-10 show that the accuracy of the proposed approach is comparable or exceeds the results of classification. Reasonable clusters could also be discovered when only partial pairwise constraints were available.
Financial Support Mechanisms and Financing Instruments for Climate Change Adaptation  [PDF]
Shih-Fang Lo, Chou-Yen Wu, Chun-Hsu Lin
Journal of Environmental Protection (JEP) , 2016, DOI: 10.4236/jep.2016.72021
Abstract: Extreme weather has been having an increase in frequency and severity because of global warming. Heavy financial burden on governments has been increasing as reconstruction of natural disaster and prevention of public construction spending. Unlike the climate mitigation activities, the main purpose of climate adaptation is to establish climate risk management system. We discuss several types of financing instruments and collect several cases in both developed and developing countries internationally. We find that budget reallocation or government bonds are regularly used for losses from natural disaster in developing countries while both government bonds and insurance penetration are used to against catastrophe risks in the developed countries. Finally, we also find that insurance-related instruments are feasible and have been applied in some middle-income countries with assistance from the World Bank.
The Relationship between Myopia and Ocular Alignment among Rural Adolescents  [PDF]
Li-Ju Lai, Wei-Hsiu Hsu, Chien-Neng Kuo, Rei-Mei Hong, Mei-Yen Chen
Open Journal of Preventive Medicine (OJPM) , 2014, DOI: 10.4236/ojpm.2014.411094
Abstract: Purpose: The prevalence of myopia in school-age children and rural area in Taiwan has increased dramatically. The aim of this study was to explore the associated factors of myopia in rural ado-lescents. Methods: A cross sectional design with a rural junior high student was invited to partici-pate in this study. The relationship between refraction error (RE), spectacle fitting condition, and ocular alignment was determined by stereoacuity. The RE was determined using autorefractor. The ocular alignment was evaluated by cover-uncover test. Stereoacuity was measured by Titmus test. The examination about spectacle fitting included the lens power, lens transparency, pupil distance, frame size, and distortion of the frame. Multiple linear regression was used to determine the effect of the spectacle suitability and ocular alignment on the RE and stereoacuity. Results: The prevalence of myopia was 78% in a total of 338 adolescents, and the incidence of high myopia (≤-6 Diopter, D) accounted for 10.2%. Participant worn poor-fitting spectacles were found with more myopia (-3.95D vs -3.42D, p = 0.02). The exophoria or exotropia significantly increased RE (p < 0.01). The eye position was significantly associated with decreased steroacuity function (p = 0.03). Head position demonstrated to have a significant relationship with stereoacuity (p = 0.03). Conclusions: Good-fitting spectacles provided a good visual function and were associated with less RE condition. Exotrope showed a significant correlation with myopia and stereoacuity. The health care providers should be aware of the ocular alignment in myopic suffers.
Gamma-Ray Sterilization Effects in Silica Nanoparticles/γ-APTES Nanocomposite-Based pH-Sensitive Polysilicon Wire Sensors
Jing-Jenn Lin,Po-Yen Hsu
Sensors , 2011, DOI: 10.3390/s110908769
Abstract: In this paper, we report the γ-ray sterilization effects in pH-sensitive polysilicon wire (PSW) sensors using a mixture of 3-aminopropyltriethoxysilane (γ-APTES) and polydimethylsiloxane (PDMS)-treated hydrophobic fumed silica nanoparticles (NPs) as a sensing membrane. pH analyses showed that the γ-ray irradiation-induced sensitivity degradation of the PSW pH sensor covered with γ-APTES/silica NPs nanocomposite (γ-APTES+NPs) could be restored to a condition even better than prior to γ-ray irradiation by 40-min of post-sterilization room-temperature UV annealing. We found that the trapping charges caused by γ-ray sterilization primarily concentrated in the native oxide layer for the pH sensor covered with γ-APTES, but accumulated in the γ-APTES+NPs layer for the γ-APTES+NPs-covered sensor. It is believed that mixing the PDMS-treated silica NPs into g-APTES provides many g-APTES/SiO2 interfaces for the accumulation of trapping charges and for post-sterilization UV oxidation, thus restoring γ-ray-induced sensor degradation. The PDMS-treated silica NPs not only enhance the sensitivity of the pH-sensitive PSW sensors but are also able to withstand the two-step sterilization resulting from γ-ray and UV irradiations. This investigation suggests γ-ray irradiation could be used as a highly-efficient sterilization method for γ-APTES-based pH-sensitive biosensors.
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