1000 resultados para Chinese Segmentation


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The successful interaction between leaders and their followers is central to the overall functioning of a company. The increasingly multinational nature of modern business and the resulting multicultural and increasingly heterogeneous workforce imposes specific challenges to the development of high-quality work relationships. The Western multinational companies that have started operations in China are facing these challenges. This study examines the quality of leader-follower relationships between Western expatriate leaders and their Chinese followers as well as between Chinese leaders and their Chinese followers in Western-owned subsidiaries in China. The focus is on the influence of personal, interpersonal and behavioural factors (personality, values, cultural knowledge, perceived and actual similarity, interactional justice, and follower performance) and the work-related implications of these relationships (job attitudes and organisational citizenship behaviour). One interesting finding of this study is that Chinese followers have higher perceptions of their Western than their Chinese leaders. The results also indicate that Chinese and Western leaders’ perceptions of their followers are not influenced favourably by the same follower characteristics. In a similar vein, Chinese followers value different traits in Western versus Chinese leaders. These results, as well as the numerous more specific findings of the study, have practical implications for international human resource management and areas such as selection, placement and training. Due to the different effect of personal and interpersonal factors across groups, it is difficult to achieve the “perfect match” between leader and follower characteristics that simultaneously contribute to high-quality relationships for Chinese and Western leaders as well as for followers. However, the results indicate that the ability of organisations to enhance the quality of leader-follower relations by selecting and matching people with suitable characteristics may provide an effective means for organisations to increase positive job attitudes and hence influence work-related outcomes.

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This paper describes a method of automated segmentation of speech assuming the signal is continuously time varying rather than the traditional short time stationary model. It has been shown that this representation gives comparable if not marginally better results than the other techniques for automated segmentation. A formulation of the 'Bach' (music semitonal) frequency scale filter-bank is proposed. A comparative study has been made of the performances using Mel, Bark and Bach scale filter banks considering this model. The preliminary results show up to 80 % matches within 20 ms of the manually segmented data, without any information of the content of the text and without any language dependence. 'Bach' filters are seen to marginally outperform the other filters.

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This correspondence describes a method for automated segmentation of speech. The method proposed in this paper uses a specially designed filter-bank called Bach filter-bank which makes use of 'music' related perception criteria. The speech signal is treated as continuously time varying signal as against a short time stationary model. A comparative study has been made of the performances using Mel, Bark and Bach scale filter banks. The preliminary results show up to 80 % matches within 20 ms of the manually segmented data, without any information of the content of the text and without any language dependence. The Bach filters are seen to marginally outperform the other filters.

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The purpose of this study was to deepen the understanding of market segmentation theory by studying the evolution of the concept and by identifying the antecedents and consequences of the theory. The research method was influenced by content analysis and meta-analysis. The evolution of market segmentation theory was studied as a reflection of evolution of marketing theory. According to this study, the theory of market segmentation has its roots in microeconomics and it has been influenced by different disciplines, such as motivation research and buyer behaviour theory. Furthermore, this study suggests that the evolution of market segmentation theory can be divided into four major eras: the era of foundations, development and blossoming, stillness and stagnation, and the era of re-emergence. Market segmentation theory emerged in the mid-1950’s and flourished during the period between mid-1950’s and the late 1970’s. During the 1980’s the theory lost its interest in the scientific community and no significant contributions were made. Now, towards the dawn of the new millennium, new approaches have emerged and market segmentation has gained new attention.

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Based on a one-month long ethnographic study conducted in two Chinese kindergartens, this study aims to understand the issue of discipline in the Chinese preschool setting through an examination of practices teachers use to manage everyday routines in the kindergarten. It also seeks to understand teachers’ values behind their choices of practices. Data of this study are comprised of three parts - notes of participant observation in eight classrooms with a focus on teacher-child interaction; interviews with nine teachers and directors of the two kindergartens; and written accounts of four teachers collected after the fieldwork in order to understand the particular practices of teachers’ praising and criticizing children. A grounded theory approach is applied to code and analyze data. Results of analysis are structured as followed. First the concept of routine is clarified based on teachers’ definition of it and observation notes on its main components, namely the timetable of everyday activities; general behavioral rules in the kindergarten; and detailed rules and procedures for various activities in the kindergarten. Then practices for managing routines are examined – how teachers organize children in activities, enforce routines, and restore routines when they are not followed well. After that, the matter of self-control is examined in relation with external control. Then teachers’ perception of their roles as the manager, director and executor of routines is presented in a discourse of control in which the values behind practices are found to be embedded. The next section of analysis examines the role of routine in relation with other activities in the kindergarten. Results indicate that routine which is supposed to be the foundation of other activities is in conflict with other activities. The last section of analysis provides some reflections on the rational of routine management in Chinese kindergartens in relation with the overall goals of Chinese preschool education. It also provides some reflections on the effect current mode of teacher-child interactions may have on children's self construction and their understanding of self in relation with the society. As a conclusion, this study suggests that the current mode of routine management in Chinese kindergartens relies heavily on teachers' control, leaving great room for better acknowledging children's agency.

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The Master’s thesis is qualitative research based on interviews of 15 Chinese immigrants to Finland in order to provide a sociological perspective of the migration experience through the eyes of Chinese immigrants in the Finnish social welfare context. This research is mainly focused upon four crucial aspects of life in the settlement process: housing, employment, access to health care and child care. Inspired by Allardt’s theoretical framework ‘Having, Loving and Being’, social relationships and individual satisfaction are examined in the case of Chinese interviewees dealing with the four life aspects. Finland was not perceived as an attractive migration destination for most Chinese interviewees in the beginning. However, with longer residence in Finland, the Finnish social welfare system gradually became a crucial appealing factor in their permanent settlement in Finland. And meanwhile, social responsibility of attending their old parents in China, strong feelings of being isolated in Finland, and insufficient integration into the Finnish society were influential factors for their decision of returning to China. Social relationships with personal friends, migration brokers, schools, employers and family relatives had great influences in the four life aspects of Chinese immigrants in Finland. The social relationship with the Finnish social welfare sector is supportive to Chinese immigrants, but Chinese immigrants do not heavily rely on Finnish social protection. The housing conditions were greatly improved over time while the upward mobility in the Finnish labour market was not significant among Chinese immigrants. All Chinese immigrants were satisfied with their current housing by the time I interviewed them while most of them had subjective feelings of being alienated in the Finnish labour market, which seriously prevented them from integrating into the Finnish society. In general, Chinese immigrants were satisfied with the low cost of accessing the Finnish public health care services and affordable Finnish child day care services and financial subsidies for children from the Finnish social welfare sector. This research also suggests that employment is the central basis in well-being. Support from the Finnish social welfare sector can improve the satisfaction levels among immigrants, especially when it mitigates the effects of low-paid employment. As well, my empirical study of Chinese immigrants in Finland shows that Having (needs for materials), Loving (needs for social relations) and Being (needs for social integration) are all involved in the four concrete aspects (housing, employment, access to health care and child care).

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We introduce a novel temporal feature of a signal, namely extrema-based signal track length (ESTL) for the problem of speech segmentation. We show that ESTL measure is sensitive to both amplitude and frequency of the signal. The short-time ESTL (ST_ESTL) shows a promising way to capture the significant segments of speech signal, where the segments correspond to acoustic units of speech having distinct temporal waveforms. We compare ESTL based segmentation with ML and STM methods and find that it is as good as spectral feature based segmentation, but with lesser computational complexity.

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Image segmentation is formulated as a stochastic process whose invariant distribution is concentrated at points of the desired region. By choosing multiple seed points, different regions can be segmented. The algorithm is based on the theory of time-homogeneous Markov chains and has been largely motivated by the technique of simulated annealing. The method proposed here has been found to perform well on real-world clean as well as noisy images while being computationally far less expensive than stochastic optimisation techniques