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The development of distributed smart homes is accelerating with the approach of the Pervasive Computing era. Heterogeneous devices and network is a significant feature in these smart homes. However, the realization of a real environment is difficult and always takes a long time. It is unrealistic to verify the availability of the entire system and make sure that all devices and applications can work...
In this paper we propose a sequential pattern mining method to analyze multimodal data streams using a quantitative temporal approach. While the existing algorithms can only find sequential orders of temporal events, this paper presents a new temporal data mining method focusing on extracting exact timings and durations of sequential patterns extracted from multiple temporal event streams. We present...
The purpose of this study was to examine the relationships MBTI personality traits and career success, 147 employees were assessed. The results were as follows: (1)There was a significantly positive correlation between extraversion and career success.(2) Career success is not significantly different between 16 MBTI types.
This study establishes science and technology innovation team efficacy evaluation model by the combination of balanced and employees scorecard. Our measurement focuses specifically on team- and individual-level efficacy by fuzzy evaluation method. Meanwhile, the markov model is built effectively to calculate the increment of members efficacy in team compared to individuals independently. We also proved...
The equipment manufacturing industry of Shenyang holds the important position in our national modernization advancement. It is regarded as the central issue in the city economic development. The talents of this industry are the main power for Shenyang to construct National Innovation City, so the enterprises must be able to attract and to detain the talents. The present paper will make a quantitative...
Joint attention - the idea that humans make inferences from observable behaviors of other humans by attending to the objects and events that these others humans attend to - has been recognized as a critical component in human-robot interactions. While various HRI studies showed that having robots to behave in ways that support human recognition of joint attention leads to better behavioral outcomes...
An important goal in studying both human intelligence and artificial intelligence is to understand how a natural or an artificial learning system deals with the uncertainty and ambiguity of the real world. For a natural intelligence system such as a human toddler, the relevant aspects in a learning environment are only those that make contact with the learner's sensory system. In real-world interactions,...
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