Globaler Wettbewerb und kürzer werdende Innovationszyklen erfordern eine immer schnellere und exaktere Reaktion auf sich ständig ändernde Kundenwünsche. Die direkte Integration von Kunden und Anwendern in den Entwicklungsprozess im Rahmen kontinuierlicher Validierungsaktivitäten gewinnt im Zuge dieser Entwicklung zunehmend an Bedeutung (Ponn & Lindemann, 2011). Die Erfassung zielgerichteten Kundenfeedbacks erfordert in der Regel die Konfrontation mit konkreten Repräsentationen des späteren Produkts. Zumal physische Prototypen hierfür in frühen Entwicklungsphasen oft nicht zur Verfügung stehen und deren Aufbau kostenintensiv ist, kommen stattdessen virtuelle Produktmodelle wie CAD-Modelle oder digitale Produktskizzen zum Einsatz. Aufgrund der starken Verkürzungen im Vergleich zum späteren Produkt sind sie jedoch unter Umständen nicht in der Lage ein realistisches Produkterlebnis zu erzeugen. Sie eignen sich damit je nach Anwendungsfall nur bedingt als Kristallisationspunkt für zielgerichtetes Kundenfeedback.
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Human face aging is irreversible process causing changes in human face characteristics such us hair whitening, muscles drop and wrinkles. Due to the importance of human face aging in biometrics systems, age estimation became an attractive area for researchers. This paper presents a novel method to estimate the age from face images, using binarized statistical image features (BSIF) and local binary patterns (LBP)histograms as features performed by support vector regression (SVR) and kernel ridge regression (KRR). We applied our method on FG-NET and PAL datasets. Our proposed method has shown superiority to that of the state-of-the-art methods when using the whole PAL database.
:هلاقم هصلاخ ECG signal is a vital biomedical signal, which helps doctors to recognize the health rate of the patients. This signal is weak. Various noises can disrupt this signal. EMG is one of these noises which is a high-frequency noise for this signal. In this paper, we will design a low-pass FIR filter which eliminates EMG from ECG. Designed FIR filter has less hardware in comparing with typical FIR filters.
:ناگدنسیون Masoud Khoubroo Eslamloo Department of Electrical Engineering,Urmia Branch, Islamic Azad University, Urmia, Iran Pejman Mohammadi Department of Electrical Engineering,Urmia Branch, Islamic Azad University, Urmia, Iran Mahmood Abbasi Layegh Department of Electrical and Electronic Engineering, Urmia University, Urmia, Iran. Mina Khoubrou Department of Electrical and Electronic Engineering, Urmia University, Urmia, Iran.
