Search results

This study aims to conduct the aircraft electrical wiring interconnection system (EWIS) safety risk assessment process abundantly and hierarchically and establish the assessment index system considering the weights and interrelationships of different levels of indices.

Due to the failure of EWIS being multifactorial, hidden and diverse, this paper divides the factors influencing the failure of EWIS into 3 primary indices, 13 secondary indices and 38 tertiary indices. Taking open circuit failure (OCF) and short circuit failure (SCF) as examples, calculate the weights of assessment indices based on the triangular fuzzy number analytic hierarchy process (TFNAHP) and triangular fuzzy number decision-making trial and evaluation laboratory (TFNDEMATEL). The cloud model (CM) divides the risk levels and obtains the safety risk assessment results. The comparative analyses of different weight calculation methods, different failure modes and different aircraft EWIS zones verify the effectiveness and practicability of the proposed method.

The results show that the proposed method aligns more with the actual situation than other methods. Also, the results identify key focus objects in EWIS safety risk assessment, such as the surrounding environmental factors among the primary indices having the most significant influence on OCF and SCF, the risk level of SCF being higher than that of OCF, etc.

This paper proposes a safety risk assessment index system for aircraft EWIS based on the cable parameters, surrounding environmental factors, installation and protection methods. The weight assignment is added to the assessment index system, and the safety risk assessment model is constructed by combining TFNAHP, TFNDEMATEL and CM.

The purpose of this paper is to propose a hybrid position/force control scheme using force and vision for docking task of a six degrees of freedom (6-dof) hydraulic parallel manipulator (HPM).

The vision system consisted of a charge-coupled device (CCD) camera, and a laser distance sensor is used to provide globe relative position information. Also, a force plate is used to measure local contact forces. The proposed controller has an inner/outer loop structure. The inner loop takes charge of tracking command pose signals from outer loop as accurate as possible, while the outer loop generates the desired tracking trajectory according to force and vision feedback information to guarantee compliant docking. Several experiments have been performed to validate the performance of the proposed control scheme.

Experiment results show that the system has good performance of relative position tracking and compliant contact. In whole docking dynamic experiment, the amplitudes of contact forces are well controlled within 300 N, which can meet perfectly the requirement of the amplitude being not more than 1,000 N.

A hybrid position/force control scheme using force and vision is proposed to make a 6-dof HPM dock with a moving target object compliantly.

The size prediction of garment is an important part in the process of the garment design and production, and it is also one of the most important features in warp-knitted computer-aided design system. The purpose of this paper is to realize the auto-generation of the garment templates using JavaScript and WebGL technologies, based on the prediction of the size of warp-knitted seamless sportswear.

The warp-knitted jacquard technology is used to produce the warp-knitted seamless sportswear, which is divided into suits and tights. In order to achieve the purpose of this study, the dimensions of four kinds of jacquard patterns knitted under different knitting conditions are measured and the crosswise and longitudinal size shrinkage percentages are also calculated. Then, the relationship between the yarn count and the drawing density as well as the size shrinkage percentage is studied and a size prediction model for warp-knitted jacquard fabric is established. Next, according to the results of the size calculation, the point positions of the garment boundary in the mathematical coordinate system is determined. The color formula is built by the two-dimensional mathematical matrix. Finally, combined with the coordinate position and color information, the template can be drawn automatically.

Based on the size prediction model of warp-knitted garment, the template generation of warp-knitted full-form sportswear on WebGL-enabled web browser is realized, which is proven to be an effective computer-aided design method for warp-knitted garments.

Because of limited researches, only two groups of yarns and four kinds of jacquard patterns were studied. A vaster database should be built and smooth curve, accurate coordinate needs to be optimized in the further research.

The size prediction model for warp-knitted jacquard garment and garment template auto-generation of warp-knitted computer-aided design system will simplify the fabric technical design process, shorten design time and improve the efficiency of new product development.

The size prediction model for warp-knitted jacquard garment and garment template auto-generation of warp-knitted computer-aided design system will provide the industries a guidance for new sample development and it also can shorten the development time and lower cost.

This author analyzes the relationship between the size characteristics and knitting technology of warp-knitted jacquard patterns, proposes a model of size prediction and realizes the auto-drawing of the garment template in the warp-knitted CAD system, which provides a reference for the new product design and development of warp-knitted seamless sportswear.

Scientific knowledge is usually regarded as the basis for the management of natural environment and wildlife in ecotourism. However, recently, social construction approaches challenge the domination of natural science. This study aims to examine the effectiveness of the social construction paradigm in ecotourism management, through conducting a content analysis of social media comments on an accident caused by a monkey in a Chinese ecotourism area. The results show that people commented on the accident from five aspects. First, the public expressed their compassion and mourning for the deceased. Second, people thought that the death was casual and absurd, yet life is full of uncertainty and people should cherish the present. Third, people commented much on the deceased tourist’s company, which is a famous sugar brand well entrenched in many Chinese people’s childhood memories. Fourth, people constructed the monkey as Monkey King, Golden Monkey (another famous sugar brand in China) and as a criminal. Fifth, people also gave their opinions about possible causes of the accident, namely, it was caused by “the mandate of heaven,” company competition, conspiracies or poor management. This study only seriously considers the comments about the mandate of heaven. This explanation is consistent with the Chinese traditional construction of nature as “heaven,” which is believed to dominate the natural and human worlds. Most people, including the managers, accepted the accident and did not explore further about the reasons for the accident. In this case, such a social construction of nature does not aid effective ecotourism management.

Poverty alleviation has been a major theme of China's modernization process since the founding of New China. This paper points out that China's poverty alleviation process presents three stylized facts: “Miraculous” achievements of poverty alleviation have been made on a global scale; the poverty alleviation achievements mainly occurred in the high growth stage after reform and opening up; the poverty alleviation process is accompanied by the structural transformation of the urban–rural dual economy.

Therefore, a logically consistent analytical framework should form among the structural transformation of the dual economy, economic growth and the achievements in poverty alleviation. In logical deduction, the structural transformation of the dual economy affects rural poverty alleviation through the effects of labor reallocation, agricultural productivity improvement, demographic change and fiscal resource allocation.

The first two refer to economic growth, and the latter two are alleviation policies. The combination of economic growth and poverty alleviation policies is the main cause for poverty alleviation performance. China's empirical evidence can support the four effects by which the structural transformation of the dual economy affects poverty alleviation.

China's socialist system and its economic system transformation after reform and opening up provide an institutional basis for the effects to come into play. After 2020, China's poverty alleviation strategies will enter the “second-half” phase, namely, the phase of solving the problems of relative poverty in urban and rural areas by adopting conventional methods and establishing long-term mechanisms. This requires the facilitation of the reconnection between poverty alleviation strategies and the structural transformation of the dual economy in terms of development ideas and policy directions.

The purpose of this study is to examine the influence of earnings management during initial public offerings on the listing day returns.

The study collected data for 511 Indian IPOs that came between April 2003 and March 2019 for calculating earnings management. On the basis of the Cross Sectional Modified Jones Model 1995, the paper presents three proxies of earnings management as discretionary accruals (DA), discretionary current accruals (DCA) and discretionary long-term accruals (DLA). The study further used correlation and multiple regression analysis to assess the impact of earnings management on listing day returns.

The findings show that earnings management and listing day returns vary through issue-year and industry-type. Apart from it, the study reveals a greater contribution of short-term accruals in earnings management on the basis of higher DCA values. It also discloses that the aggregate level of earnings management (DA) influences listing returns, whereas DCA and DLA separately have no impact on the listing day returns of the Indian IPOs.

The findings are useful to potential investors and analysts to observe, assess and understand the quality of financial reports that are based on fallacious disclosure of accounting figures. The study also reflects the efficacy of Indian regulatory norms for IPOs in constraining earnings management and underpricing, thus providing meaningful insight to the policy makers and the regulators.

This study is distinguished by its focus on determining the influence of earnings management on listing day returns in Indian IPOs by using three earnings management proxies.

The purpose of this paper is to examine how state ownership influences value of cash in an institutional environment supporting soft-budget constraint.

This study employs an interaction between state ownership and excess cash to examine how state ownership affects value of cash holdings based on Fama and French’s (1998) valuation model.

With a research data of 3,294 observations from 548 firms over the period 2009–2016, the authors find that state ownership is positively related to market value of cash. Moreover, this relationship is weaker in financially constrained firms.

Although prior studies document a consistently negative effect of state ownership on market value of cash holdings, the authors argue that this effect may still be opposite. When managers of high state ownership firms rely on soft-budget constraint and save less cash, outside investors with this information disadvantage may focus more on precautionary motive and transaction motive than agency costs of cash holdings. As a result, value of cash holdings in high state ownership firms is higher. This paper contributes to the literature on corporate liquidity policy in emerging markets with new evidence on the role of state ownership in market value of cash holdings.

Branching is one of the crucial strategic non-price actions for banks. Previous studies on the impact of state ownership upon banks focus on bank lending behavior. This paper aims to offer a novel investigation of how state ownership affects bank branching behavior by examining state-controlled commercial banks (SCCBs) in the context of the largest developing and transitional country China.

The two-part model (TPM) is applied to analyze the branching decision process. In the first stage, the dependent variable is the choice of bank branching dynamics and in the second stage the dependent variable is the number of new branches or the number of closed branches. For robustness check, the ordered probit selection model allowing for interdependence of the two stage decisions is also employed.

Using a unique dataset of bank branches in China, this paper finds that the branching decisions of Chinese SCCBs are driven by both profit motivated factors including population size, population density, income level, financial development and banking competition and politically motivated factors as represented with the proportion of SOEs. As a comparison, branching decisions of joint-stock banks in China are fully determined by profit motivated factors.

First, this study is the first to explore the effect of state ownership on bank branching decisions, providing a new insight on the literature regarding to the impact of state ownership on bank decisions. Second, this study explores the potential effect of politically motivated factors on bank branching decisions, filling the gap in bank branching literature. Third, this study can contribute to bank branching literature by enriching the limited understanding of how SCCBs make branching decisions. Lastly, this study applies novel empirical strategies to analyze bank branching decisions, including the TPM and the ordered probit selection model.

Islamic finance is becoming a core part of the financial services economy in the Middle East countries. There is a strong likelihood that Islamic finance is also driving the expansion of trade in insurance services. However, research on Islamic finance’s effect on trade in insurance services is scant. This study aims to fill this gap by investigating if Islamic finance has promoted trade in insurance services.

This study adopts the gravity modelling framework and the panel data estimation procedure in understanding the effects of Islamic finance on trade in insurance.

The empirical results reveal a statistically significant positive correlation of Islamic finance with the exports and imports of insurance services. Economic sizes (domestic and trading partners), growth in trading partners, cost of doing business, legal rights and financial freedom are other statistically significant determinants.

It makes a positive contribution to the Islamic financial services literature. Islamic finance is an integral part of the conventional banking and financial sector in the Middle East that actively fosters the expansion of insurance services that need support, given its essential role in services trade.

This study is unique as it directs attention to the role of Islamic finance in fostering trade in insurance services within an inclusive modelling framework that has been overlooked in the Islamic finance literature.