Chinese people have been theorized to be particularly sensitive to social face and avoid direct discussion in conflict to promote interpersonal harmony. This study uses the theory of social face to predict Chinese employees’ strategies to avoid expressing anger with their supervisors in the organizations. Inspired by previous research, this study proposes that anger-expression avoidance is a complex behavior with different motivations and actions, leading to diverse outcomes. It identifies four strategies for the employees to avoid expressing anger with their boss; they are named outflanking (turn to the third party to resolve the anger), withdrawal (staying cool, ignoring, giving the silent treatment), retaliation (covert, indirect revenge, in an attempt to get even or to balance the apparently inequitable situation) and re-channeling (expressing anger on persons or things unrelated to the source of the anger). The results from an interview study conducted in the summer of 2008 can help explain the dynamic structure of anger-expressing avoidance: Why employees in organizations in China avoid expressing anger, how they act, and the consequences. Based on the data collection and analysis, this study has implications both for the general theory of social face and conflict management in China as well as the understanding of how anger-expression avoidance strategies affect organizational relationships and employee future productivity, job satisfaction, and stress.

No description available.

By defined structuring of sliding surfaces at dynamic contact seals friction and leakage can be reduced. Compared to macro-structures, micro-structures have the advantage of a quasi-homogeneous influence on the fluid behavior in the sealing gap. The development of suitable microstructures based on prototypes, whose properties are studied on the test bench, is very expensive and time-consuming due to the challenging manufacturing process and measuring technologies, which are necessary to investigate the complex rheological behavior within the sealing gap. A simulation-based development of microstructured sealing surfaces offers a cost- and time-saving alternative. This paper presents a method for simulative design and optimization of microstructured sealing surfaces at the example of a microstructured mechanical face seal.

Face perception and recognition abilities develop throughout childhood and differences in viewing own-race and other-race faces have been found in both children (Hu et al., 2014) and adults (Blais et al., 2008). In addition, implicit biases have been found in children as young as six (Baron & Banaji, 2006) and have been found to influence face recognition (Bernstein, Young, & Hugenberg, 2007). The current study aimed to understand how gaze behaviors, implicit biases, and other-race experience contribute to the other-race effect and their developmental effects. Caucasian children’s (5-10 years of age) and young adults’ scanning behaviors were recorded during an old/new recognition task using Asian and Caucasian faces. Participants also completed an Implicit Association Test (IAT) and a race experience questionnaire. Results found an own-race bias in both children and adults. Only adult’s IAT scores were significantly different from zero, indicating an implicit bias. Participants had a greater number of eye to eye fixations for Caucasian faces, in comparison to Asian faces and eye to eye fixations were greater in adults during encoding phases. Additionally, increased nose looking times were observed with age. Central attention to the nose may be indicative of a more holistic viewing strategy implemented by adults and older children. Participants spent longer looking at the mouth of Asian faces during encoding and test for older children and adults, but younger children spent longer looking at own-race mouths during recognition. Correlations between scanning patterns and implicit biases, and experience difference scores were also observed. Both social and perceptual factors seem to influence looking behaviors for own- and other-race faces and are undergoing changes during childhood. / Includes bibliography. / Thesis (M.A.)--Florida Atlantic University, 2020. / FAU Electronic Theses and Dissertations Collection

Identity fraud is a severe and ruthless crime, regardless of leasing a car insomeone else’s name or illegitimately getting a loan from a bank. The protection depends strongly on technical development to further increase the safetyof ID checking.This project aims to design an extra security ID checking on top of humanobservation. With the help of an NFC Scanner which reads and scans ID cardsand passports, and the help of a web camera, an application is developed witha face recognition ability. The application displays a scanned face image andten newly captured face pictures of an individual. Thanks to robust face detection and recognition library called Luxand, the face of the individual willbe detected in the recently captured images and then compared with theID/passport face image.The project resulted in face recognition of an almost 90% success rate. Theresults were evaluated through 31 test cases and also by performing a hypothesis test. The statistical hypothesis test was performed to prove that there is asystematic benign effect of the proposed procedure with a p-value of0.000015, which indicates a high probability of success.

Face recognition under illumination is really challenging. This dissertation proposes four effective methods to produce illumination-invariant features for images with various lev- els of illuminations. The proposed methods are called logarithmic fractal dimension (LFD), eight local directional patterns (ELDP), adaptive homomorphic eight local directional pat- terns (AH-ELDP), and complete eight local directional patterns (CELDP), respectively. LFD, employing the log function and the fractal analysis (FA), produces a logarithmic fractal dimension (LFD) image that is illumination-invariant. The proposed FA feature- based method is an effective edge enhancer technique to extract and enhance facial features such as eyes, eyebrows, nose, and mouth. The proposed ELDP code scheme uses Kirsch compass masks to compute the edge responses of a pixel's neighborhood. It then uses all the directional numbers to produce an illumination-invariant image. AH-ELDP first uses adaptive homomorphic filtering to reduce the influence of illumi- nation from an input face image. It then applies an interpolative enhancement function to stretch the filtered image. Finally, it produces eight directional edge images using Kirsch compass masks and uses all the directional information to create an illumination-insensitive representation. CELDP seamlessly combines adaptive homomorphic filtering, simplified logarithmic fractal dimension, and complete eight local directional patterns to produce illumination- invariant representations. Our extensive experiments on Yale B, extended Yale B, CMU-PIE, and AR face databases show the proposed methods outperform several state-of-the-art methods, when using one image per subject for training. We also evaluate the ability of each method to verify and discriminate face images by plotting receiver operating characteristic (ROC) curves which plot true positive rates (TPR) against the false positive rates (FPR). In addition, we conduct an experiment on the Honda UCSD video face database to simulate real face recognition systems which include face detection, landmark localization, face normalization, and face matching steps. This experiment, also, verifies that our proposed methods outperform other state-of-the-art methods.

Thesis. 1976. Ph.D.--Massachusetts Institute of Technology. Dept. of Psychology. / Microfiche copy available in Archives and Humanities. / Vita. / Bibliography: leaves 66-72. / Ph.D.

No description available.

No description available.

No description available.