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The purpose of this paper is to propose a graph-based representation approach for evolutionary knowledge under the big data circumstance, aiming to gradually build conceptual models from data.

A semantic data model named meaning graph (MGraph) is introduced to represent knowledge concepts to organize the knowledge instances in a graph-based knowledge base. MGraph uses directed acyclic graph–like types as concept schemas to specify the structural features of knowledge with intention variety. It also proposes several specialization mechanisms to enable knowledge evolution. Based on MGraph, a paradigm is introduced to model the evolutionary concept schemas, and a scenario on video semantics modeling is introduced in detail.

MGraph is fit for the evolution features of representing knowledge from big data and lays the foundation for building a knowledge base under the big data circumstance.

The representation approach based on MGraph can effectively and coherently address the major issues of evolutionary knowledge from big data. The new approach is promising in building a big knowledge base.

The purpose of this paper is to explore a semantics representation framework for narrative images, conforming to the image-interpretation process.

This paper explores the essential features of semantics evolution in the process of narrative images interpretation. It proposes a novel semantics representation framework, ESImage (evolution semantics of image) for narrative images. ESImage adopts a hierarchical architecture to progressively organize the semantic information in images, enabling the evolutionary interpretation under the support of a graph-based semantics data model. Also, the study shows the feasibility of this framework by addressing the issues of typical semantics representation with the scenario of the Dunhuang fresco.

The process of image interpretation mainly concerns three issues: bottom-up description, the multi-faceted semantics representation and the top-down semantics complementation. ESImage can provide a comprehensive solution for narrative image semantics representation by addressing the major issues based on the semantics evolution mechanisms of the graph-based semantics data model.

ESImage needs to be combined with machine learning to meet the requirements of automatic annotation and semantics interpretation of large-scale image resources.

This paper sorts out the characteristics of the gradual interpretation of narrative images and has discussed the major issues in its semantics representation. Also, it proposes the semantic framework ESImage which deploys a flexible and sound mechanism to represent the semantic information of narrative images.

Mobile agent, as a new mobile computing technology, has been applied to various parallel and distributed computing problem solutions. Several mobile agent systems have been built to drive the agents following a platform dependant scheme, and some formal approaches have been proposed to describe mobile agents’ behaviors or properties for respective purposes. However, there remains a lack of a standard approach to describing a mobile agent algorithm and its semantics from the viewpoint of a practical program, which makes it difficult to specify an algorithm unambiguously and verify its correctness formally. This paper proposes a practical approach to overcome that difficulty by defining a script language and associated mechanisms to specify and verify mobile agent algorithms. The language, called SMAL, can describe mobile agent’s behaviors clearly due to its explicitly defined semantics. Based on the semantics, a transformation function for converting the specified algorithm to its equivalent specification in Mobile UNITY, a well‐known mobile computation formal approach for correctness verification, is presented. Formal verification of the algorithms can be accomplished based on the UNITY‐logic rules.

The end-effects is a well-recognized phenomenon occurring in the linear induction motor (LIM) which makes the analysis and control of the LIM with good performance very difficult and can cause additional significant non-linearities in the model. So, the compensation of parameters uncertainties due to these effects in the control system is very necessary to get a robust speed control. The purpose of this paper is to propose a new technique of LIM end-effects estimation using the inverse rotor time constant tuning in order to compensate the flux orientation error in the indirect field-oriented control (IFOC) control law.

First, the dynamic model of the LIM taking into consideration the end-effects based on Duncan model is derived. Then, the IFOC for LIM speed control with end-effects compensation is derived. Finally, a new technique of LIM end-effects estimation is proposed based on the model reference adaptive system (MRAS) theory using the instantaneous active power and the estimated stator currents vector. These estimated currents are obtained through the solution of LIM state equations.

Simulations were carried out in MATLAB/SIMULINK to demonstrate the effectiveness and robustness of LIM speed control with the proposed MRAS inverse rotor time constant tuning to estimate end-effects value. The numerical validation results show that the proposed scheme permits the drive to achieve good dynamic performance, satisfactory for the estimated end-effects of the LIM model and robustness to uncertainties.

The end-effects causes a drop in the magnetizing, primary and the secondary inductance, requiring a more complex LIM control scheme. This paper presents a new approach of LIM end-effect estimation based on the online adaptation and tuning of the LIM inductances. The proposed scheme use the inverse rotor time constant tuning for end-effects correction in LIM vector control block.

This paper aims to examine the role of two mediating variables in the relationship between spiritual leadership with organizational citizenship behavior (OCB). The two mediating variables used in the study were organization-based self-esteem (OBSE) and workplace spirituality as followers’ intrinsic motivation and self-concept factors. Furthermore, the research also examined the role of perceived organizational support as moderating variable on the relationship between spiritual leadership and workplace spirituality.

A survey was conducted using questionnaires via a face-to-face method. The five-point Likert scale was used to assess the variables and to measure the items. The tool of analysis used was partial least square. The sample consisted of 234 respondents encompassing teachers and educational staffs of an Islamic based education institution in Indonesia.

The results supported five out of the eight proposed hypotheses. It was apparent that there was a partial mediating role of the OBSE as followers’ motivational concept on the relationship between spiritual leadership and organization citizenship behavior.

The dearth of literature on the adoption of spiritual leadership in Islamic schools makes the depth of discussion on the study framework somewhat limited.

The insight provided by this study into understanding and link between spiritual leadership and OCB among Muslim education practitioners. While a large body of leadership research has adopted a variation of leadership theories, the results shifted the focus of attention to the adoption of spiritual leadership as an essential determinant of discretionary behavior in a religious-based institution.

Islamic schools are in dire need of teachers with discretionary behavior. Spiritual leadership proved to have a significant relationship with organizational based self-esteem and OCB. It promotes the intrinsic well-being of the follower by creating a vision where people can achieve their higher purposes of life and contributing to society by performing services to others, and by giving people a feeling of being appreciated.

The study extends scholarly understanding on the role of spiritual leadership, which is a relatively new and growing area of interest for academics and practitioners, in shaping teachers and academic staffs’ OCBs regarding both theory and practice.

The purpose of this study is to investigate the impact of board secretaries’ characteristics on annual report readability using an original method that evaluates the readability of Chinese characters.

The authors manually collect board secretaries’ characteristics from the China Securities Market and Accounting Research database and obtain annual reports from the China Information website. Ordinary least square regression is applied to evaluate the impact, and then robustness tests and additional regression analyses are conducted.

Board secretaries’ legal-professional expertise, international expertise and role duality improve annual report readability. However, their political connections are negatively associated with it. The effect of expertise (role duality) is more pronounced for firms with lower ex ante litigation risk (board secretaries with equity holdings). Furthermore, higher readability increases the compensation of board secretaries, whereas lower readability increases their turnover. Finally, annual report readability is positively related to firm performance.

The authors only investigate listed firms in China from 2007 to 2017 because of the difficulties of obtaining data and text mining.

The authors provide managerial insights for regulators aiming to establish an effective governance mechanism with Chinese characteristics. First, certain requirements for board secretaries’ expertise can improve annual report readability. Further, firms can consider appointing board members or senior executives as board secretaries to enhance disclosure quality.

To the best of the authors’ knowledge, this study is the first to verify the effect of board secretaries’ characteristics on disclosure quality, especially annual report readability. Moreover, this study proposes a novel measure of annual report readability for Chinese texts.

To offer a realistic foundation for urban cultural construction planning, we want to investigate the distribution features of Shanghai's cultural functional elements and examine the distribution patterns in urban space.

In this research, we managed to gather POI geographic data, refined and categorized them to integrate eight categories of cultural functional elements, observed the density and agglomeration, distribution direction and hot and cold spots of overall and each type of cultural functional elements using geospatial analysis methods and then investigated the factors influencing cultural functional elements using geographic detectors.

Our research shows apparent differences between regions and most cultural functional elements are found in the inner city. Second, there are hot and cold spots in the way different cultural functional elements are spread out. Its geographic structure is primarily influenced by third-party traffic service capacity and available time.

This work provides a benchmark for cultural planning in Shanghai by establishing the spatial aggregation impact of cultural functional elements.

This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the “Not In My Back Yard” (NIMBY) effect, which can provide references to improve the decision-making process of similar projects in the future.

The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was used to propose an analytical framework for exploring the critical influencing factors affecting the site selection failure of WtE projects. The causal relationship between different influencing factors is finally determined on the basis of the opinions of 12 experts from universities, government departments, consulting units, planning and design units, construction units and WtE enterprises.

Results showed that six crucial factors resulted in the site selection failure of WtE projects from the NIMBY effect perspective: “Insufficient public participation,” “Near the place of residence,” “Nonstandard government decision-making processes,” “Low information disclosure,” “Destroys the surrounding environment,” and “Imperfect compensation scheme.”

Results can determine the priorities and causal relationships among the various influencing factors. The decision-making optimization suggestions can provide reference for decision- makers, thereby possibly promoting the scientific and standardization of site selection decision process.

Urban parks play a key role in recreational activities, public health, and ecosystem services in urban areas. Using GIS and Fragstats, this study investigated the spatiotemporal dynamics of urban parks in Xi'an, China from 1949 to 2015 and the corresponding driving forces. The results show that the number and area of parks in Xi'an increased constantly during this period, especially from 2000 to 2015. Up to 2015, small green spaces, usually adjacent to streets, occupied the largest proportion among all types of parks. Archaeological parks were the largest in total area, but wetland parks were leading in average size of a single park. The density of parks was negatively correlated with their distance to the Clock Tower at the center of Xi'an. The dynamics of urban parks in highly urbanized areas were significantly different from that of their counterparts in suburban areas. Driving forces such as urban planning, urbanization and green space policies, and milestone events in the city's development jointly had a great effect on the distribution of parks in Xi'an. The research outcomes will support the upcoming Green Space Planning of Xi'an and benefit the pursuit of sustainability and human wellbeing.

Drawing on a costs-benefit analysis perspective, the purpose of this paper is to investigate the relationship between managerial openness and employee voice and its boundary conditions.

This study collected three waves of data by surveying 326 pairs of employees and their supervisors. The hypotheses were tested by using Hayes’s (2018) SPSS macro application with a bootstrap approach to obtain confidence intervals.

Managerial openness facilitates employee voice by decreasing perceived voice costs. Felt obligation positively moderates the direct as well as the indirect relationship between perceived voice costs and employee voice.

This study uncovers the alternative mechanism underlying the relationship between managerial openness and employee voice as well as the boundary condition of this relationship.