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Search Results: 1 - 10 of 61723 matches for " Yu-Hsiang Yu "
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What is the optimal fluid status in critically ill patients?
Yu-Hsiang Chou
Critical Care , 2012, DOI: 10.1186/cc11446
Abstract: In order to clarify the correlation between fluid therapy and mortality, it is necessary to use high or low fluid volumes as a covariate in a Cox's proportional hazards model of mortality. As we know, fluid resuscitation is a critical step to achieve early goal-directed therapy. Whether patients achieved the goal or not should also be included in analysis. Other parameters related to fluid status, such as central venous pressure level, body composition detected by bioimpedance device, and brain natriuretic peptide level, can be added to the analysis in future studies.The author declares that they have no competing interests.
Integrated Flight Path Planning System and Flight Control System for Unmanned Helicopters
Shau-Shiun Jan,Yu-Hsiang Lin
Sensors , 2011, DOI: 10.3390/s110807502
Abstract: This paper focuses on the design of an integrated navigation and guidance system for unmanned helicopters. The integrated navigation system comprises two systems: the Flight Path Planning System (FPPS) and the Flight Control System (FCS). The FPPS finds the shortest flight path by the A-Star (A*) algorithm in an adaptive manner for different flight conditions, and the FPPS can add a forbidden zone to stop the unmanned helicopter from crossing over into dangerous areas. In this paper, the FPPS computation time is reduced by the multi-resolution scheme, and the flight path quality is improved by the path smoothing methods. Meanwhile, the FCS includes the fuzzy inference systems (FISs) based on the fuzzy logic. By using expert knowledge and experience to train the FIS, the controller can operate the unmanned helicopter without dynamic models. The integrated system of the FPPS and the FCS is aimed at providing navigation and guidance to the mission destination and it is implemented by coupling the flight simulation software, X-Plane, and the computing software, MATLAB. Simulations are performed and shown in real time three-dimensional animations. Finally, the integrated system is demonstrated to work successfully in controlling the unmanned helicopter to operate in various terrains of a digital elevation model (DEM).
Two Levels of Prediction Model for User's Browsing Behavior
Chu-Hui Lee,Yu-Hsiang Fu
Lecture Notes in Engineering and Computer Science , 2008,
A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing
Chia-Hsiang Lin,Chong-Yung Chi,Yu-Hsiang Wang,Tsung-Han Chan
Computer Science , 2015,
Abstract: Hyperspectral unmixing (HU) is a crucial signal processing procedure to identify the underlying materials (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspectral scene. A well-known blind HU criterion, advocated by Craig in early 1990's, considers the vertices of the minimum-volume enclosing simplex of the data cloud as good endmember estimates, and it has been empirically and theoretically found effective even in the scenario of no pure pixels. However, such kind of algorithms may suffer from heavy simplex volume computations in numerical optimization, etc. In this work, without involving any simplex volume computations, by exploiting a convex geometry fact that a simplest simplex of N vertices can be defined by N associated hyperplanes, we propose a fast blind HU algorithm, for which each of the N hyperplanes associated with the Craig's simplex of N vertices is constructed from N-1 affinely independent data pixels, together with an endmember identifiability analysis for its performance support. Without resorting to numerical optimization, the devised algorithm searches for the N(N-1) active data pixels via simple linear algebraic computations, accounting for its computational efficiency. Monte Carlo simulations and real data experiments are provided to demonstrate its superior efficacy over some benchmark Craig-criterion-based algorithms in both computational efficiency and estimation accuracy.
Interaction Enhanced Imperialist Competitive Algorithms
Jun-Lin Lin,Yu-Hsiang Tsai,Chun-Ying Yu,Meng-Shiou Li
Algorithms , 2012, DOI: 10.3390/a5040433
Abstract: Imperialist Competitive Algorithm (ICA) is a new population-based evolutionary algorithm. It divides its population of solutions into several sub-populations, and then searches for the optimal solution through two operations: assimilation and competition. The assimilation operation moves each non-best solution (called colony) in a sub-population toward the best solution (called imperialist) in the same sub-population. The competition operation removes a colony from the weakest sub-population and adds it to another sub-population. Previous work on ICA focuses mostly on improving the assimilation operation or replacing the assimilation operation with more powerful meta-heuristics, but none focuses on the improvement of the competition operation. Since the competition operation simply moves a colony ( i.e ., an inferior solution) from one sub-population to another sub-population, it incurs weak interaction among these sub-populations. This work proposes Interaction Enhanced ICA that strengthens the interaction among the imperialists of all sub-populations. The performance of Interaction Enhanced ICA is validated on a set of benchmark functions for global optimization. The results indicate that the performance of Interaction Enhanced ICA is superior to that of ICA and its existing variants.
Nonlinear Dynamic Trans/Cis Regulatory Circuit for Gene Transcription via Microarray Data
Yu-Hsiang Chang,Yu-Chao Wang,Bor-Sen Chen
Gene Regulation and Systems Biology , 2007,
Abstract: The trans-regulatory circuit is considered as the regulatory interactions between upstream regulatory genes and transcription factor binding site motifs or cis elements. And the cis-regulatory circuit is viewed as a dynamic interactive circuit among binding site motifs with their effective action on the expression scheme of target gene. In brief, gene transcription depends on the trans/cis regulatory circuits. In this study, nonlinear trans/cis regulatory circuits for gene transcription in yeast are constructed using microarray data, translation time delay, and information of transcription factors (TFs) binding sites. We provide a useful nonlinear dynamic modeling and develop a parameter estimating method for the construction of trans/cis regulatory circuits, which is powerful for understanding gene transcription. We apply our method to construct trans/cis regulatory circuits of yeast cell cycle-related genes and successfully quantify their regulatory abilities and find possible cis-element interactions. Not only could the data of yeast be applied by our method, but those of other species also could. The proposed method can provide a quantitative basis for system analysis of gene circuits, which is potential for gene regulatory circuit design with a desired gene expression.
Slow-Roll Inflation Preceded by a Topological Defect Phase à la Chaplygin Gas
Mariam Bouhmadi-Lopez,Pisin Chen,Yu-Chien Huang,Yu-Hsiang Lin
Physics , 2012, DOI: 10.1103/PhysRevD.87.103513
Abstract: We present a simple toy model corresponding to a network of frustrated topological defects of domain walls or cosmic strings that exist previous to the standard slow-roll inflationary era of the universe. Such a network (i) can produce a slower inflationary era than that of the standard scenario if it corresponds to a network of frustrated domain walls or (ii) can induce a vanishing universal acceleration; i.e., the universe would expand at a constant speed, if it corresponds to a network of frustrated cosmic strings red. Those features are phenomenologically modeled by a Chaplygin gas that can interpolate between a network of frustrated topological defects and a de Sitter-like or a power-law inflationary era. We show that this scenario can alleviate the quadruple anomaly of the cosmic microwave background spectrum. Using the method of the Bogoliubov coefficients, we obtain the spectrum of the gravitational waves as would be measured today for the whole range of frequencies. We comment on the possible detection of this spectrum by the planned detectors like BBO and DECIGO.
Luteolin Suppresses Inflammatory Mediator Expression by Blocking the Akt/NFκB Pathway in Acute Lung Injury Induced by Lipopolysaccharide in Mice
Yi-Ching Li,Chung-Hsin Yeh,Ming-Ling Yang,Yu-Hsiang Kuan
Evidence-Based Complementary and Alternative Medicine , 2012, DOI: 10.1155/2012/383608
Abstract: Acute lung injury (ALI), instilled by lipopolysaccharide (LPS), is a severe illness with excessive mortality and has no specific treatment strategy. Luteolin is an anti-inflammatory flavonoid and widely distributed in the plants. Pretreatment with luteolin inhibited LPS-induced histological changes of ALI and lung tissue edema. In addition, LPS-induced inflammatory responses, including increased vascular permeability, tumor necrosis factor (TNF)-α and interleukin (IL)-6 production, and expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2), were also reduced by luteolin in a concentration-dependent manner. Furthermore, luteolin suppressed activation of NFκB and its upstream molecular factor, Akt. These results suggest that the protection mechanism of luteolin is by inhibition of NFκB activation possibly via Akt.
A MEMS-based Air Flow Sensor with a Free-standing Micro-cantilever Structure
Yu-Hsiang Wang,Chia-Yen Lee,Che-Ming Chiang
Sensors , 2007, DOI: 10.3390/s7102389
Abstract: This paper presents a micro-scale air flow sensor based on a free-standingcantilever structure. In the fabrication process, MEMS techniques are used to deposit asilicon nitride layer on a silicon wafer. A platinum layer is deposited on the silicon nitridelayer to form a piezoresistor, and the resulting structure is then etched to create afreestanding micro-cantilever. When an air flow passes over the surface of the cantileverbeam, the beam deflects in the downward direction, resulting in a small variation in theresistance of the piezoelectric layer. The air flow velocity is determined by measuring thechange in resistance using an external LCR meter. The experimental results indicate that theflow sensor has a high sensitivity (0.0284 ω/ms-1), a high velocity measurement limit (45ms-1) and a rapid response time (0.53 s).
Acute Response in vivo of a Fiber-Optic Sensor for Continuous Glucose Monitoring from Canine Studies on Point Accuracy
Kuo-Chih Liao,Shih-Chieh Chang,Cheng-Yang Chiu,Yu-Hsiang Chou
Sensors , 2010, DOI: 10.3390/s100807789
Abstract: The objective of this study was to evaluate the acute response of SencilTM, a fiber-optic sensor, in point accuracy for glucose monitoring in vivo on healthy dogs under anesthesia. ?A total of four dogs with clinically normal glycemia were implanted with one sensor each in the chest region to measure the interstitial glucose concentration during the ovariohysterectomy procedure. The data was acquired every 10 seconds after initiation, and was compared to the concentration of venous plasma glucose sampled during the surgery procedures for accuracy of agreement analysis. In the four trials with a range of 71–297 mg/dL plasma glucose, the collected 21 pairs of ISF readings from the SencilTM and the plasma reference showed superior dispersion of residue values than the conventional system, and a linear correlation (the Pearson correlation coefficient is 0.9288 and the y-intercept is 14.22 mg/dL). The MAD (17.6 mg/dL) and RMAD (16.16%) of SencilTM measurements were in the comparable range of the conventional system. The Clarke error grid analysis indicated that 100% of the paired points were in the clinically acceptable zone A (61.9%) and B (38.1%).
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