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Article
Publication date: 4 April 2016

Yang Lu, Shujuan Yi, Yurong Liu and Yuling Ji

This paper aims to design a multi-layer convolutional neural network (CNN) to solve biomimetic robot path planning problem.

Abstract

Purpose

This paper aims to design a multi-layer convolutional neural network (CNN) to solve biomimetic robot path planning problem.

Design/methodology/approach

At first, the convolution kernel with different scales can be obtained by using the sparse auto encoder training algorithm; the parameter of the hidden layer is a series of convolutional kernel, and the authors use these kernels to extract first-layer features. Then, the authors get the second-layer features through the max-pooling operators, which improve the invariance of the features. Finally, the authors use fully connected layers of neural networks to accomplish the path planning task.

Findings

The NAO biomimetic robot respond quickly and correctly to the dynamic environment. The simulation experiments show that the deep neural network outperforms in dynamic and static environment than the conventional method.

Originality/value

A new method of deep learning based biomimetic robot path planning is proposed. The authors designed a multi-layer CNN which includes max-pooling layer and convolutional kernel. Then, the first and second layers features can be extracted by these kernels. Finally, the authors use the sparse auto encoder training algorithm to train the CNN so as to accomplish the path planning task of NAO robot.

Details

Assembly Automation, vol. 36 no. 2
Type: Research Article
ISSN: 0144-5154

Keywords

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Abstract

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Messy Data
Type: Book
ISBN: 978-0-76230-303-8

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Article
Publication date: 4 February 2014

Yiheng Deng and Kaibin Xu

– This paper aims to explore language strategies and techniques in Chinese mediation that are adopted by mediators to motivate and facilitate compromise among disputants.

Abstract

Purpose

This paper aims to explore language strategies and techniques in Chinese mediation that are adopted by mediators to motivate and facilitate compromise among disputants.

Design/methodology/approach

Ten cases were audio-recorded on the spot, transcribed for analysis in their Chinese form, and then translated into English for English readers. The translation of excerpts used in this paper to demonstrate points was double checked to ensure accuracy. Discourse analysis was adopted to explore the meanings and functions of the utterances in these excerpts.

Findings

It is found that power is embedded in the mediator's position and in his/her role in the mediation. Furthermore, neutrality is less of a concern as compared to justice in the mediator's terms. Finally, socio-cultural indications of the language strategies and techniques were drawn about contemporary Chinese society.

Practical implications

When dealing with Chinese people in conflict, one may emphasize common goals and bring in external reasons such as seniority, face, and status to motivate and facilitate compromise.

Originality/value

Studying transcripts of cases that were recorded in real time and recently is rare in studies of Chinese mediation. Studying what people actually say provides us data in reality, in contrast to the ideals as well as what they say they do in mediation.

Details

International Journal of Conflict Management, vol. 25 no. 1
Type: Research Article
ISSN: 1044-4068

Keywords

Content available
Book part
Publication date: 20 June 2017

David Shinar

Abstract

Details

Traffic Safety and Human Behavior
Type: Book
ISBN: 978-1-78635-222-4

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Book part
Publication date: 22 November 2012

Tae-Seok Jang

This chapter analyzes the empirical relationship between the pricesetting/consumption behavior and the sources of persistence in inflation and output. First, a small-scale…

Abstract

This chapter analyzes the empirical relationship between the pricesetting/consumption behavior and the sources of persistence in inflation and output. First, a small-scale New-Keynesian model (NKM) is examined using the method of moment and maximum likelihood estimators with US data from 1960 to 2007. Then a formal test is used to compare the fit of two competing specifications in the New-Keynesian Phillips Curve (NKPC) and the IS equation, that is, backward- and forward-looking behavior. Accordingly, the inclusion of a lagged term in the NKPC and the IS equation improves the fit of the model while offsetting the influence of inherited and extrinsic persistence; it is shown that intrinsic persistence plays a major role in approximating inflation and output dynamics for the Great Inflation period. However, the null hypothesis cannot be rejected at the 5% level for the Great Moderation period, that is, the NKM with purely forward-looking behavior and its hybrid variant are equivalent. Monte Carlo experiments investigate the validity of chosen moment conditions and the finite sample properties of the chosen estimation methods. Finally, the empirical performance of the formal test is discussed along the lines of the Akaike's and the Bayesian information criterion.

Details

DSGE Models in Macroeconomics: Estimation, Evaluation, and New Developments
Type: Book
ISBN: 978-1-78190-305-6

Keywords

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Abstract

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Structural Road Accident Models
Type: Book
ISBN: 978-0-08-043061-4

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Book part
Publication date: 20 May 2003

Shlomo Yitzhaki and Maggie Eisenstaedt

Ranking groups (schools, regions, counties) according to the average score of their constituent parts – say, ranking schools by the academic achievements of students – is…

Abstract

Ranking groups (schools, regions, counties) according to the average score of their constituent parts – say, ranking schools by the academic achievements of students – is a common yardstick in evaluation and a cornerstone of any planning process. In this paper we show that under certain circumstances the ranking of groups, unlike the ranking of individuals, can be affected by the examiner. The fact that a ranking reversal is possible does not necessarily imply that the test itself is deficient, it merely reveals that the groups are non-homogeneous and therefore, the ranking of groups is meaningless. An investigation of the conditions under which such manipulation can occur leads us to suggest new statistical indicators as warning signals that can help one recognize such situations if and when they arise. It turns out that these indicators are related to the indicators for finding whether one distribution dominates another.

Details

Fiscal Policy, Inequality and Welfare
Type: Book
ISBN: 978-1-84950-212-2

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Book part
Publication date: 14 July 2014

Ronald L. Breiger and David Melamed

We reformulate regression modeling so that ideas often associated with field theory and social network analysis can be brought to bear at every stage in the computation…

Abstract

We reformulate regression modeling so that ideas often associated with field theory and social network analysis can be brought to bear at every stage in the computation and interpretation of regression coefficients in studies of organizations. Rather than “transcending” general linear reality, we seek to get more out of it. We formulate a dual to regression modeling based on using the variables to learn about the cases. We illustrate our ideas by applying the new approach to a database of hundreds of violent extremist organizations, focusing on understanding which groups use or pursue unconventional weapons (chemical, biological, radiological, nuclear).

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Contemporary Perspectives on Organizational Social Networks
Type: Book
ISBN: 978-1-78350-751-1

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Article
Publication date: 12 August 2014

Wei Meng, Quan Liu, Zude Zhou and Qingsong Ai

The purpose of this paper is to propose a seamless active interaction control method integrating electromyography (EMG)-triggered assistance and the adaptive impedance…

Abstract

Purpose

The purpose of this paper is to propose a seamless active interaction control method integrating electromyography (EMG)-triggered assistance and the adaptive impedance control scheme for parallel robot-assisted lower limb rehabilitation and training.

Design/methodology/approach

An active interaction control strategy based on EMG motion recognition and adaptive impedance model is implemented on a six-degrees of freedom parallel robot for lower limb rehabilitation. The autoregressive coefficients of EMG signals integrating with a support vector machine classifier are utilized to predict the movement intention and trigger the robot assistance. An adaptive impedance controller is adopted to influence the robot velocity during the exercise, and in the meantime, the user’s muscle activity level is evaluated online and the robot impedance is adapted in accordance with the recovery conditions.

Findings

Experiments on healthy subjects demonstrated that the proposed method was able to drive the robot according to the user’s intention, and the robot impedance can be updated with the muscle conditions. Within the movement sessions, there was a distinct increase in the muscle activity levels for all subjects with the active mode in comparison to the EMG-triggered mode.

Originality/value

Both users’ movement intention and voluntary participation are considered, not only triggering the robot when people attempt to move but also changing the robot movement in accordance with user’s efforts. The impedance model here responds directly to velocity changes, and thus allows the exercise along a physiological trajectory. Moreover, the muscle activity level depends on both the normalized EMG signals and the weight coefficients of involved muscles.

Details

Industrial Robot: An International Journal, vol. 41 no. 5
Type: Research Article
ISSN: 0143-991X

Keywords

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Book part
Publication date: 2 September 2009

C. Cindy Fan

The assumption that the family migrates as a unit downplays migrants’ circularity. This chapter focuses on China's rural–urban labor migrants that travel back and forth…

Abstract

The assumption that the family migrates as a unit downplays migrants’ circularity. This chapter focuses on China's rural–urban labor migrants that travel back and forth between the sites of work and home community and between places of work. I argue that migrants and their households pursue work flexibility in order to obtain the best of the urban and rural worlds, by gaining earnings from urban work and at the same time maintaining social and economic security in the countryside. Work flexibility demands flexibility in household organization, in the form of division of labor and collaboration between genders, generations, and households. Based on a study in Sichuan, I examine household biographies and narratives to identify migrants’ work and household strategies.

Migrants change jobs frequently, switch from one type of work to another and one location to another readily, and often return to the home village for months or even years before pursuing migrant work again. Not only are migrants ready to split the household between the city and the countryside, but also they frequently change from one form of division of labor to another. The inside–outside model, where the wife stays in the village and the husband does migrant work, used to be the dominant arrangement. Over time, the outside–outside model, where both the husband and wife migrate to work and leave behind other family members, is increasingly popular. This is facilitated by intergenerational and interhousehold division of labor in the form of assistance by the extended family. Intergenerational division of labor takes place when the second generation is replacing the parents in migrant work. This research's findings support the notion that rural–urban migrants are fast becoming a hybrid segment of Chinese society, playing dual roles of farmers and urban workers and straddling the peasant and urban worlds.

Details

Work and Organizationsin China Afterthirty Years of Transition
Type: Book
ISBN: 978-1-84855-730-7

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