دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — بخش چهل و دوم

منطق فازی (Fuzzy Logic) اولین بار در پی تنظیم نظریه مجموعه‌های فازی به وسیله پروفسور لطفی زاده (۱۹۶۵ میلادی) در صحنه محاسبات نو ظاهر شد. در واقع منطق فازی از منطق ارزش‌های «صفر و یک» نرم‌افزارهای کلاسیک فراتر رفته و درگاهی جدید برای دنیای علوم نرم‌افزاری و رایانه‌ها می‌گشاید، زیرا فضای شناور و نامحدود بین اعداد صفر و یک را نیز در منطق و استدلال‌های خود به کار می‌گیرد. در ادامه مقالات علمی انتشارات بین المللی اشپرینگر (Springer) در زمینه منطق فازی (Fuzzy Logic) برای دانلود آمده است. می توانید برای دانلود هر یک از مقالات از سرور دانلود متلب سایت، بر روی لینک دانلود هر یک از آن ها، کلیک کنید.

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دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — فهرست اصلی

عنوان اصلی مقاله A three-dimensional robust seismic ray tracer for volcanic regions
نوع مقاله مقاله ژورنال
نویسندگان Kiyoshi Nishi
چکیده / توضیح Seismic velocity structure of volcanic region is highly heterogeneous so that seismic ray tracer used in this field should be robust for the velocity heterogeneity. From this view point a three-dimensional robust seismic ray tracer, effective in any complicated velocity structure, is developed by using a hybrid scheme of the shortest path calculation and the downhill simplex optimization method. The node configuration necessary for the three-dimensional shortest path calculation is newly presented. Validity and efficiency of the calculation are examined by synthetic tests. A travel time accuracy of less than 0.1%, and a rms ray path error of 0.05 km are achieved. Calculations for the synthetic velocity models and checkerboard testing show the effectiveness of this ray tracer in practical situations. The present ray tracer is recommended to be used in travel time tomography in highly heterogeneous velocity structure such as volcanic regions.
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عنوان اصلی مقاله An experiment of predicting Total Electron Content (TEC) by fuzzy inference systems
نوع مقاله مقاله ژورنال
نویسندگان O. Akyilmaz, N. Arslan
چکیده / توضیح The Total Electron Content (TEC) is predicted by fuzzy inference systems for various station-satellite pairs. GPS data from the GRAZ, HFLK, LINZ, MOPI and UZHL permanent stations are processed in order to obtain the vertical total electron content (VTEC) using differenced carrier-smoothed code observations. The quality of the VTEC prediction was studied on 9 and 11 September 2005 (DOY 252 and 254). The predictions were computed for 5, 10 and 15 min intervals. The mean accuracies of predictions are about 0.1, 0.2 and 0.3 TECU for these time intervals. More than 98% of the VTEC is successfully recovered with the proposed prediction method.
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عنوان اصلی مقاله Fuzzy mathematical model for the analysis of geomagnetic field data
نوع مقاله مقاله ژورنال
نویسندگان M. Sridharan
چکیده / توضیح The Indian network of magnetometers provides an opportunity to examine the pattern of geomagnetic field variations during magnetic storms. In this study, fuzzy transitive closure analysis, which is a powerful technique for pattern recognition, has been employed. The pattern of variation differs at the nonequatorial, equatorial and the observatory situated nearer to the geomagnetic S q focus. The results of the analysis are compared with those of classical cluster analysis. The comparison confirms the validity of applying this model for the analysis of geomagnetic storms. The superiority of fuzzy concepts over the conventional method and the analytical techniques are presented here.
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عنوان اصلی مقاله Soft computing methods for geoidal height transformation
نوع مقاله مقاله ژورنال
نویسندگان O. Akyilmaz, M. T. Özlüdemir, T. Ayan, R. N. Çelik
چکیده / توضیح Soft computing techniques, such as fuzzy logic and artificial neural network (ANN) approaches, have enabled researchers to create precise models for use in many scientific and engineering applications. Applications that can be employed in geodetic studies include the estimation of earth rotation parameters and the determination of mean sea level changes. Another important field of geodesy in which these computing techniques can be applied is geoidal height transformation. We report here our use of a conventional polynomial model, the Adaptive Network-based Fuzzy (or in some publications, Adaptive Neuro-Fuzzy) Inference System (ANFIS), an ANN and a modified ANN approach to approximate geoid heights. These approximation models have been tested on a number of test points. The results obtained through the transformation processes from ellipsoidal heights into local levelling heights have also been compared.
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عنوان اصلی مقاله Model-based neuro-fuzzy control of FiO2 for intensive care mechanical ventilation
نوع مقاله مقاله ژورنال
نویسندگان HF Kwok, GH Mills, M Mahfouf, DA Linkens
چکیده / توضیح The knowledge-based approach to fuzzy logic control of mechanical ventilation on the ICU can be prone to bias in the experts' knowledge and errors resulting from poor communication during rule-base derivation. Therefore, a different approach was explored in the development of a fuzzy controller to control the inspired oxygen fraction (FiO2). The performance of such a controller was compared with the performance of the clinicians.
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عنوان اصلی مقاله Patient monitoring alarms in the ICU and in the operating room
نوع مقاله مقاله ژورنال
نویسندگان Felix Schmid, Matthias S Goepfert, Daniel A Reuter
چکیده / توضیح Historically, the word 'alarm' originates from the Latin, 'ad arma', or the French, 'à l'arme', which can be translated into 'to your weapons'. Hence, the word indicates a call for immediate action, for attack or for defense. Alarms have existed ever since humans have lived in groups. Some of the first documented alarms are watchmen on towers in the Middle Ages, who warned of fires or enemies by ringing bells. Warning fires provided a visual alert to enemy attacks, visible across long ranges and enabling an early reaction of armed forces. Today, comparable systems are available that send warning-SMSs (Short Message Service) of nearing tsunamis to mobile phones [1].
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عنوان اصلی مقاله Automatic recruitment maneuvers in porcine acute lung injury based on online PaO2 measurements
نوع مقاله مقاله ژورنال
نویسندگان H Luepschen, T Meier, M Großherr, T Leibecke, S Leonhardt
چکیده / توضیح The individualization of lung protective ventilation strategies (e.g. recruitment maneuvers [RM] and PEEP titration to keep the lungs open) requires careful bedside observations. Many parameters must be monitored, which calls for computer aid. A fuzzy-logic ventilation expert system has been tested regarding its ability to automatically conduct RMs based on the open lung concept (OLC).
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عنوان اصلی مقاله AUTOPILOT-BT: an approach towards automatic mechanical ventilation
نوع مقاله مقاله ژورنال
نویسندگان S Lozano, K Moeller, C Stahl, J Guttmann
چکیده / توضیح The clinical use of ventilators is limited due to a huge variety of different ventilation methods. The clinician – often under high cognitive load from the complicated technical equipment on an ICU – just uses a small subset of available parameter settings. The aim of the present study was to develop a closed-loop ventilation controller based on mathematical models and fuzzy logic.
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عنوان اصلی مقاله Evaluating and monitoring analgesia and sedation in the intensive care unit
نوع مقاله مقاله ژورنال
نویسندگان Curtis N Sessler, Mary Jo Grap, Michael AE Ramsay
چکیده / توضیح Management of analgesia and sedation in the intensive care unit requires evaluation and monitoring of key parameters in order to detect and quantify pain and agitation, and to quantify sedation. The routine use of subjective scales for pain, agitation, and sedation promotes more effective management, including patient-focused titration of medications to specific end-points. The need for frequent measurement reflects the dynamic nature of pain, agitation, and sedation, which change constantly in critically ill patients. Further, close monitoring promotes repeated evaluation of response to therapy, thus helping to avoid over-sedation and to eliminate pain and agitation. Pain assessment tools include self-report (often using a numeric pain scale) for communicative patients and pain scales that incorporate observed behaviors and physiologic measures for noncommunicative patients. Some of these tools have undergone validity testing but more work is needed. Sedation-agitation scales can be used to identify and quantify agitation, and to grade the depth of sedation. Some scales incorporate a step-wise assessment of response to increasingly noxious stimuli and a brief assessment of cognition to define levels of consciousness; these tools can often be quickly performed and easily recalled. Many of the sedation-agitation scales have been extensively tested for inter-rater reliability and validated against a variety of parameters. Objective measurement of indicators of consciousness and brain function, such as with processed electroencephalography signals, holds considerable promise, but has not achieved widespread implementation. Further clarification of the roles of these tools, particularly within the context of patient safety, is needed, as is further technology development to eliminate artifacts and investigation to demonstrate added value.
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عنوان اصلی مقاله Knowledge acquisition to design a fuzzy system for disease-specific automatic control of mechanical ventilation
نوع مقاله مقاله ژورنال
نویسندگان D Gottlieb, S Lozano, J Guttmann, K Möller
چکیده / توضیح A closed-loop system for automated control of mechanical ventilation, Autopilot-BT, will be enhanced [1]. It must be able to adapt to diverse disease patterns. The Autopilot-BT is based on fuzzy logic, which can model complex systems using expert knowledge. The expert knowledge was acquired by a specifically designed questionnaire (Figure 1a).
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