Bo Cheng, Bo Wang, Shujun Chen, Ziqiang Zhang and Jun Xiao
The purpose of this study is to improve the accuracy of industrial robot kinematic parameter identification and position accuracy by solving the problem of insufficient…
Abstract
Purpose
The purpose of this study is to improve the accuracy of industrial robot kinematic parameter identification and position accuracy by solving the problem of insufficient consideration of error sources in the kinematic parameter identification model and optimizing the selection of measurement pose set.
Design/methodology/approach
In this study, a kinematic calibration method for industrial robots considering multiple error sources is proposed. Based on the Modified Denavit Hartenberg (MD-H) model, a robot kinematics identification model including joint reduction ratio error, target ball installation error and coordinate system transformation error is established. Taking the optimal observability index O1 and the minimum flexible deformation as the optimization objectives, a measurement pose set optimization method based on Non-dominated Sorting Genetic Algorithm II (NSGA-II) is proposed to obtain a measurement pose set with higher identification accuracy.
Findings
Through experiments conducted with the Nantong Zhenkang ZK1400-6 robot as the test subject, the kinematic parameters identified by the optimized measurement pose set are more accurate than the randomly selected measurement pose set, and the positioning accuracy of the robot is improved from 2.11 to 0.31 mm, an increase of 85.3%.
Originality/value
This study introduces a position error model that comprehensively accounts for the error sources causing positioning inaccuracies. Building on this foundation, a novel flexible deformation index is proposed to quantify the flexible deformation in the measurement pose set, thereby reducing the impact of such deformation on the position error in the model. To the best of the authors’ knowledge, for the first time, this study presents an optimization method for the measurement pose set based on NSGA-II, using the flexible deformation index and observability index as objectives for multi-objective optimization, simultaneously optimizing the pose error and Jacobian matrix in the error model.
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Pan Ai-Jou, Bo-Yuan Cheng, Pao-Nan Chou and Ying Geng
We applied a true-experimental randomized control posttest design to collect and analyze quantitative and qualitative data to compare the effects of the AR and traditional board…
Abstract
Purpose
We applied a true-experimental randomized control posttest design to collect and analyze quantitative and qualitative data to compare the effects of the AR and traditional board games on students’ SDG learning achievements.
Design/methodology/approach
We applied a true-experimental randomized control posttest design to collect and analyze quantitative and qualitative data to compare the effects of AR and traditional board games on students' SDG learning achievements.
Findings
Our analysis of the quantitative and qualitative data revealed that the effects of AR and traditional board games on the students' cognitive outcomes differed significantly, indicating the importance of providing a situated learning environment in SDG education. Moreover, the students perceived that the incorporation of the AR game into SDG learning improved their learning effectiveness – including both cognitive and affective dimensions – thus confirming its educational value and potential in SDG learning.
Originality/value
To the best of our knowledge, this is the first study to explore the effectiveness of different learning tools (AR and traditional board games) and to evaluate the importance of providing a situated learning environment through a true-experimental randomized control posttest design.
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Abstract
Purpose
Few studies have focused on the impact of conjugal control and non-conjugal control on the innovation capability of family firms. In the context of the relative lack of research on the relationship between family firm heterogeneity and innovation ability, this study aims to focus on the differentiated impact of husband–wife-controlled family listed companies and non-husband–wife-controlled family listed companies on their innovation capabilities, which provides empirical evidence with more Chinese institutional and cultural characteristics for the development of corporate organizational management and innovation theories.
Design/methodology/approach
Taking all A-share listed family firms from 2007 to 2016 as the research sample, this paper examines the influence of spousal control on firm innovation level by empirical research method.
Findings
The empirical results show that compared with non-spousal-controlled family enterprises, spousal-controlled family enterprises have significant positive effects on the level of enterprise innovation. Further studies suggest that joint management of spousal-controlled family enterprises improves the level of innovation. Authority difference of the couple will weaken the innovation capacity. However, the wife’s professional skills can promote the innovation level.
Originality/value
Focusing on the characteristics of family internal structure and embedding marriage relationship in the enterprise organization, this paper investigates the influence of different characteristics of husband and wife and cooperation mode on enterprise innovation, and the conclusion enriches the theory of family business and family science, as well as provides important information reference for the stakeholder groups in the capital market.
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Yang Guan, Shengbo Eben Li, Jingliang Duan, Wenjun Wang and Bo Cheng
Decision-making is one of the key technologies for self-driving cars. The high dependency of previously existing methods on human driving data or rules makes it difficult to model…
Abstract
Purpose
Decision-making is one of the key technologies for self-driving cars. The high dependency of previously existing methods on human driving data or rules makes it difficult to model policies for different driving situations.
Design/methodology/approach
In this research, a probabilistic decision-making method based on the Markov decision process (MDP) is proposed to deduce the optimal maneuver automatically in a two-lane highway scenario without using any human data. The decision-making issues in a traffic environment are formulated as the MDP by defining basic elements including states, actions and basic models. Transition and reward models are defined by using a complete prediction model of the surrounding cars. An optimal policy was deduced using a dynamic programing method and evaluated under a two-dimensional simulation environment.
Findings
Results show that, at the given scenario, the self-driving car maintained safety and efficiency with the proposed policy.
Originality/value
This paper presents a framework used to derive a driving policy for self-driving cars without relying on any human driving data or rules modeled by hand.
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Cheng Bo, Wang Li, Zhang Qun, Gao Xia, Xie Xiaoming and Wolfgang Kempe
Flip chip on board (FCOB) solder joint reliability under thermal shock stress was investigated. With underfill materials, the solder joint lifetime was increased from 37 to…
Abstract
Flip chip on board (FCOB) solder joint reliability under thermal shock stress was investigated. With underfill materials, the solder joint lifetime was increased from 37 to 1,300/2,480 cycles depending on the particular underfill material used. Through the use of CSAM, SEM, dye penetration tests and cross sectioning, the reliability of a FCOB assembly under thermal shock stress was evaluated. Both dye penetration and SEM fracture analysis can be used to measure quantitatively the extent of crack propagation for assemblies without underfill. A new failure mechanism, PCB cracking was also observed and discussed.
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Cheng Bo, Wang Li, Zhang Qun, Gao Xia, Xie Xiaoming and Wolfgang Kempe
Flip chip solder joint reliability under thermal shock stress was investigated both experimentally and by 2D finite element simulation. The results indicate that solder fatigue is…
Abstract
Flip chip solder joint reliability under thermal shock stress was investigated both experimentally and by 2D finite element simulation. The results indicate that solder fatigue is the dominant failure mode and that delamination has obvious adverse effects on the solder joint lifetime. Different material/process combinations (underfill, flux, reflow atmospheres) were designed in order to understand the role of material/process factors on the solder joint lifetime and the results are discussed.
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Michael A. Piel, Karen K. Johnson and Karen Putnam
In a past era, alchemists believed they could magically transmute lead into valuable gold. Science has progressed a substantial distance since then and for decades nuclear and…
Abstract
In a past era, alchemists believed they could magically transmute lead into valuable gold. Science has progressed a substantial distance since then and for decades nuclear and particle physicists could change various materials into gold. When considering technology, leaders are faced with a comparable challenge: How does one leverage technology to create unique organizational value? To manage emerging technologies effectively to create organizational value, managers will need to lead the producers and practitioners of technology effectively. In the age of global interdependence, organizations must abandon old outdated perspectives.
Technology is a force which drives itself. Organizations must adopt to emerging technology or risk being obsolete. Leveraging technology to create value involves more then circumferentially managing technology. To create value, leaders must encourage staff to transmute technology. The principles and practices of quantum leadership provide for this possibility. This chapter will irradiate why simply managing technology does not offer organizations the maximum value from technology. The reader will be introduced to the four core features of quantum leadership: duality, superposition, entanglement, and observation. With this groundwork, the principles and practices of this leadership perspective will be discussed in context of transmuting technology into unique organizational value. Which lens one uses to see which possibility becomes reality are exclusively in the eyes of the viewer. Using information systems technology, artificial intelligence (AI), and 5G technology as the exemplars, readers can decide whether to accept, reject, or suspend judgement on using quantum leadership as the perspective to transmute technology into valuable organizational gold.
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To solve the problem of meminductor in circuit design, this paper aims to describe a synthesis method and the mechanism in terms of constitutive relation of the gyrator for…
Abstract
Purpose
To solve the problem of meminductor in circuit design, this paper aims to describe a synthesis method and the mechanism in terms of constitutive relation of the gyrator for transforming nano memristor into meminductor.
Design/methodology/approach
The gyrator was designed to achieve memristor-meminductor transformation by using amplifiers and memristor.
Findings
The simulation results verify the flexibility of its operation.
Originality/value
This gyrator can be used in integrated circuit design such as filter, diplexer, and it has a simple and economical implementation.
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Kevin Z. Chen, Rui Mao and Yunyi Zhou
Challenges from the urban–rural disparity immensely burden the world's progress fulfilling Sustainable Development Goals and the goals' central promise, particularly for…
Abstract
Purpose
Challenges from the urban–rural disparity immensely burden the world's progress fulfilling Sustainable Development Goals and the goals' central promise, particularly for developing countries experiencing rapid structural change and urbanization. A knowledge gap lies between the epistemology of urban–rural disparity and the practice of integrated urban-rural development. This paper aims to provide a new approach to bridge the knowledge gap based on the recent Chinese experience.
Design/methodology/approach
This qualitative research reviewed major economic and multidisciplinary studies regarding urban-rural development and the growth-equality tradeoff. Chinese experience is employed to showcase concrete challenges from the urban–rural disparity and how the proposed approach works for urban-rural integration.
Findings
Theoretical and practical approaches with urban bias largely fail to counter the challenges. Building on China's recent practice probing beyond urban bias, IFPRI (2019) proposes the term rurbanomics with a highlight of equalized urban-rural economic partnership, whereafter Zhou and Chen (2021) enrich the term into a conceptual framework. This paper further improves rurbanomics as a new viable approach to integrated urban-rural development under the overarching goal of common prosperity. The approach prioritizes driving forces in the economic, demographic, eco-environmental, social institutional and technological aspects for the policy community to leverage. Long-term mechanisms are decerned to link urban-rural integration to common prosperity.
Practical implications
China has leveraged ingredients of the rurbanomics approach in the political deployment to integrated urban-rural development. However, the application of this approach is yet to be adapted with local heterogeneities and live up to application's potential. Long-term mechanisms recommended by the rurbanomics approach will need to be carried out. Future improvements will need substantial theoretical extension and micro-level empirical studies.
Originality/value
This paper streamlines the epistemological shreds regarding pursuits, challenges, global experiences and theoretical approaches of urban-rural development. The paper also develops rurbanomics to navigate urban-rural integration, Sustainable Development Goals and common prosperity. By decerning long-term mechanisms in the Chinese case accordingly, this paper provides clues for other economies to employ the new approach.
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Da-Chi Liao, Wen Bin Chiou, Jinhyeok Jang and Shao Hua Cheng
Drawing on cognitive theories of information and democracy, this paper argues that carefully designed voting advice applications (VAAs) strengthen voter competence by matching…
Abstract
Purpose
Drawing on cognitive theories of information and democracy, this paper argues that carefully designed voting advice applications (VAAs) strengthen voter competence by matching voters’ preferences on important policy issues with parties' relevant positions on those issues.
Design/methodology/approach
To examine the causal effect of information acquisition on voting willingness, we employed a lab experiment on the pioneering VAA program in Taiwan: iVoter. Our participants consisted of 120 undergraduates who were randomly assigned to be treated (two groups) or controlled (one group). Each participant of the respective treatment groups was provided with full or partial information. The purpose was to identify the ideological distance between the participant and the respective political parties. Individuals in the control group did not receive the respective information prior to their decision on whether to vote or not.
Findings
Those who received full relevant information were most willing to vote in the forthcoming elections. We furthermore found VAA utilization to be positively associated with other aspects of democracy, such as political enthusiasm, civic duty and political efficacy.
Originality/value
This paper aims to contribute to the development of VAAs and to democracy as a whole by confirming a causal link between receiving relevant information and voting willingness.