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The recognition heuristic: A decade of research  [PDF]
Gerd Gigerenzer,Daniel G. Goldstein
Judgment and Decision Making , 2011,
Abstract: The recognition heuristic exploits the basic psychological capacity for recognition in order to make inferences about unknown quantities in the world. In this article, we review and clarify issues that emerged from our initial work (Goldstein and Gigerenzer, 1999, 2002), including the distinction between a recognition and an evaluation process. There is now considerable evidence that (i) the recognition heuristic predicts the inferences of a substantial proportion of individuals consistently, even in the presence of one or more contradicting cues, (ii) people are adaptive decision makers in that accordance increases with larger recognition validity and decreases in situations when the validity is low or wholly indeterminable, and (iii) in the presence of contradicting cues, some individuals appear to select different strategies. Little is known about these individual differences, or how to precisely model the alternative strategies. Although some researchers have attributed judgments inconsistent with the use of the recognition heuristic to compensatory processing, little research on such compensatory models has been reported. We discuss extensions of the recognition model, open questions, unanticipated results, and the surprising predictive power of recognition in forecasting.
Research of the Localization of Restaurant Service Robot
Yu Qing-xiao,Yuan Can,Fu Zhuang,Zhao Yan-zheng
International Journal of Advanced Robotic Systems , 2010,
Abstract: This paper designs a restaurant service robot which could be applicable to providing basic service, such as ordering, fetching and sending food, settlement and so on, for the customers in the robot restaurant. In this study, both three landmarks positioning and landmark-based localization algorithms are proposed to localize the mobile robot with rough precision in the restaurant. And Optical Character Recognition (OCR) technology is used to distinguish the unique table number of different landmarks. When the high localization precision must be granted around the pantry table, the RFID-based localization algorithm is proposed to localize the mobile robot.Various experiments show that the proposed algorithms could estimate the robot pose reasonably well and could accurately evaluate the localization performance. Finally, the proposed service robot could realize real-time self-localization in the restaurant.
Variance of service times research on signalized intersections
Transport Problems : an International Scientific Journal , 2007,
Abstract: Variance of service times is the measure of dispersion in the processof vehicles service. The article includes results of observation and measurements on several signalized intersections in Katowice. Measurements permitted to estimate variance of service times. Results of simulation research was presented too.
Service Development Research for ICT Companies Based on Service Science Analysis  [cached]
Hui Wang
Journal of Software , 2012, DOI: 10.4304/jsw.7.4.895-903
Abstract: Service has emerged as the major element of the modern world’s economies, especially in the ICT industry. But the theory of service science is far behind the reality. Service science should provide theoretical basis and analysis framework for the service development. Through analyzing service science theory and current literatures, combining ICT companies’ real situation and development challenge, this paper offers several suggestions for service development, and builds the general service portfolio for ICT companies. On the other hand, this application in ICT companies will facilitate service science innovation, education, research application and development.
Research Directions in Network Service Chaining  [PDF]
Wolfgang John,Kostas Pentikousis,George Agapiou,Eduardo Jacob,Mario Kind,Antonio Manzalini,Fulvio Risso,Dimitri Staessens,Rebecca Steinert,Catalin Meirosu
Computer Science , 2013, DOI: 10.1109/SDN4FNS.2013.6702549
Abstract: Network Service Chaining (NSC) is a service deployment concept that promises increased flexibility and cost efficiency for future carrier networks. NSC has received considerable attention in the standardization and research communities lately. However, NSC is largely undefined in the peer-reviewed literature. In fact, a literature review reveals that the role of NSC enabling technologies is up for discussion, and so are the key research challenges lying ahead. This paper addresses these topics by motivating our research interest towards advanced dynamic NSC and detailing the main aspects to be considered in the context of carrier-grade telecommunication networks. We present design considerations and system requirements alongside use cases that illustrate the advantages of adopting NSC. We detail prominent research challenges during the typical lifecycle of a network service chain in an operational telecommunications network, including service chain description, programming, deployment, and debugging, and summarize our security considerations. We conclude this paper with an outlook on future work in this area.
Editorial Research recognition  [cached]
Gabriel Jacobs
Research in Learning Technology , 1997, DOI: 10.3402/rlt.v5i3.10566
Abstract: Only partly tongue in cheek, I suggested in ALT-N (number 18, July 1997) that we should consider mounting a Campaign for the Acknowledgement of Research into Educational Technology (CARET). I was astonished by the large number of responses in my mailbox, not one of them dissenting from the views I expressed, and many offering examples of how excellent peer-reviewed publications in good journals, sometimes associated with very respectable research grants, had vanished into the ether when it came to the last Research Assessment Exercise (RAE). Outside education as a discipline (and even there . . . ) , RAE subject panels appear to consider that research into learning technology is not really worth counting. University teachers of languages, history, biology, engineering and so on may produce seminal papers on learning technology within their subject-areas, and for the purposes of their department's RAE rating they might as well not have bothered - indeed, they may even be reprimanded for not having aimed more directly between the RAE goalposts. Even within disciplines such as computer science or psychology, where one might imagine that much research into educational technology would comfortably fit, I know of colleagues who have been on the receiving end of such discouragement.
Research of Directory Service Model for Geographic Information  [PDF]
Chengming Li, Xuewang Yuan, Wei Sun, Xiaoli Liu
Journal of Geographic Information System (JGIS) , 2018, DOI: 10.4236/jgis.2018.104025
Abstract: With the deepening application of geographic information web services, as a significant part, geographic information directory service sets up a service transaction platform between the service providers and the service requestors, providing one-stop registration, access and management functions of geographic information web services, so it is very important to carry out the research on geographic information directory service. According to the domestic and overseas metadata standards, the service expression-oriented metadata information model for geographic information web service is established, and the discovery mechanism dominated by geographic information service registration and active discovery is realized accordingly. After that, overall design of directory service model is made, and finally the research results are integrated into the geographic information service software NewMapServer and deployment test is made under the Google Cloud Environment Google App Engine, providing a certain reference for sharing the Smart City construction achievements.
Real Object Recognition and Augmentation for n-Screen Convergence Service
Computer Science and Engineering , 2012, DOI: 10.5923/j.computer.20120203.05
Abstract: It is very challenging issue to converge n-screen media (Web, IPTV, SmartPhone) which are encouraged by AR, motion detection, hand shape recognition and non-marker object tracking technologies. Our services converge virtual/real world, individual/social relationship and in-door/out-door space pragmatically and intimately. We propose token-sharing mechanism among media for guarantying synchronization and continuity of playing contents. Web side service is main region for educational works. User develops his/her and friend’s territories as solving educational quests. Our mobile out-door service traces the objects by not a marker but a non-marker image tracking for according the feeling of realistic response during collaboration activities to users. The in-door IPTV service interacts with user’s intuition simultaneously thru motions and hands recognition technologies. These approaches will be one of initiative applications to make virtual and real space seamless, and will open the new field of learning system as last.
Research on Speech Recognition Based on Neural Networks  [PDF]
TENG Yun,HE Chun-lin,YUE Miao
Journal of Chongqing Normal University , 2010,
Abstract: Because of good characteristics of the abstract classification, neural networks have become an effective tool for resolving issues related to recognition, and have been applied to the research and development of speech recognition system. A speech recognizer system comprises of two blocks, Feature Extractor and Recognizer. For increasing the recognition accuracy, this paper proposes two types of speech recognition system whose recognition block uses the recurrent neural network(RNN) and multi layer perceptron(MLP) respectively. Furthermore, the main work steps of Feature Extractor (FE) block is introduced and the structure of two types of neural networks mentioned above is discussed. Using a standard LPC Cepstrum, the FE translates the input speech into a trajectory in the LPC Cepstrum feature space. The recognizer block discovers the relationships between the trajectories and recognizes the word. The results show that the MLP's recognition accuracies were better than the RNN's,while the RNN's recognition accuracies achieved 85%.
Research on Dynamic Facial Expressions Recognition  [cached]
Xiaoning Peng,Beiji Zou,Lijun Tang,Ping Luo
Modern Applied Science , 2009, DOI: 10.5539/mas.v3n5p31
Abstract: Human-computer intelligent interaction (HCII) is usually based on facial expression recognition. A dynamic facial expression recognition method based on video sequence is proposed in this paper, which uses Gaussian of Mixture Hidden Markov Model. Firstly, we get some special facial expression regions, in which the motion features are extracted and described as phase form and then constituted to eigen-sequences. Secondly we use Gaussian of Mixture Hidden Markov Model to learn and test these eigen-sequences, and recognize six universal facial expressions: angry, disgust, fear, happy, sad and surprise. And we developed an experimental system based on our algorithm. The experimental results show that the computing time and the error of vector quantization is reduced, while the classification efficiency is improved.
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