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A novel distributed middleware service platform, called MidGate platform, is presented in this paper. The central contribution is description of the developed MidGate platform and its architecture focusing especially on the adaptation, context‐awareness, and personalization of mobile and pervasive services. The research problem addressed is how to facilitate the development of interoperable applications and services into heterogeneous and distributed service gateway based environments. A requirement analysis of future mobile and pervasive services and key technologies has been carried out to establish a solid base and requirements for the development of the MidGate platform. The key mechanisms supporting adaptation, context‐awareness, and personalization of applications and services are presented. The novel middleware architecture solution of the MidGate platform utilizing these key mechanisms is also described. The MidGate architecture utilizes the emerging Generic Service Elements (GSE) approach, where generic and collectively utilizable services are provided to applications as middleware services that are part of a service platform. The main contribution of this research is the definition of a set of GSEs, the related MidGate platform architecture and its evaluation. The evaluation of the MidGate platform has been carried out in series of laboratory prototypes. The evaluation indicates that the MidGate platform solution is well applicable in various service gateway‐based distributed systems and extends well into resource‐constrained mobile environments.

Context‐aware services platforms aim at supporting the handling of contextual information in order to provide better user‐tailored services. This paper proposes a novel services platform architecture to support mobile context‐aware applications, giving emphasis to the configurability of the platforms generic functionality. The paper introduces concepts and a language to cope with configurability aspects. The paper also reports on the implementation of a prototype, which implements a Web services‐based context‐aware services platform that runs on top of 3G networks.

The Durable Reconnaissance and Observation Platform (DROP) is a prototype robotic platform with the ability to climb vertical cinder block surfaces at a rate of 25 cm/s, make rapid horizontal to vertical transitions, carry an audio/visual reconnaissance payload, and survive impacts from 3 meters.

The platform uses a two‐wheel, two‐motor design that delivers high mobility with low complexity. DROP extends microspine climbing technology from a linear to rotary implementation, providing improved transition ability, increased speeds, and simpler body mechanics while maintaining microspine's ability to opportunistically grip rough surfaces.

The DROP prototype was able to climb rough, vertical walls at a speed of 25 cm/s. These wheels were also deployed on a commercial platform, the ReconRobotics Scout, and demonstrated additional mobility capabilities such as curb mounting and stair climbing.

This robot is the first wheeled robot to use microspine technology. Various aspects of the prototype robot's design and performance are discussed, including the climbing mechanism, body design, and impact survival.

Cloud manufacturing (CMfg) is a networked manufacturing mode that promotes the agile, service-oriented, green and intelligent development of the manufacturing industry. Although some scholars have reviewed related studies of CMfg from multiple perspectives, these reviews are not fully systematic or well justified and fail to fully reveal the key characteristics in the development process of CMfg. The purpose of this paper is to systematically review the relevant research on CMfg via identification of key characteristics of definition, architecture, supporting technology and application of CMfg to provide critical information in decision support for the innovation and development of CMfg.

This study systematically reviews the relevant research on CMfg across theoretical methods to technical applications by integrating quantitative and qualitative methods. Word cloud method is used to quantitatively analyse the structure and feature of different definitions of CMfg. The principle of System Science is used to explore the basic components and functions of various CMfg architectures and their common and differing characteristics. A multi-level technology framework is developed to explore the development status of CMfg supporting technologies. A multi-stage application classification is proposed to reveal the application status of CMfg.

Through literature review, this study found that CMfg architecture is currently dominated by general architectures and lacks architectures that fit the actual enterprise characteristics; CMfg supporting technology is mature in the traditional cloud computing-based technology, but it is still weak in the development of virtualization and servitization technology, service scheduling technology; CMfg application is still in the initial stage and still lacks a relatively complete system application. By analysing the development status of CMfg, this study also identified potential research directions of CMfg in information management, service composition and evaluation, system application and sustainable development and other aspects.

This paper predominantly focuses on journal articles and some key conference papers published in English and Chinese. Chinese articles account for more than half of the total. The reason is that CMfg was proposed by the Chinese and CMfg is suitable for the development of China's manufacturing industry because of China's intelligent manufacturing environment. It is believed that this research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg.

Prior literature reviews ignore the identification and analysis of key feature identification for the current development of CMfg, including common and unique feature identification of different CMfg architectures and functions, multi-layer analysis and interpretation of CMfg technology and different stage analysis of CMfg applications. This study addresses these limitations and provides a comprehensive literature review.

The purpose of this paper is to propose a conference-based online social network (OSN) for academics’ knowledge sharing and collaboration around and beyond a conference, while exploring the entanglement of the social and technical aspects of the system.

Following an exploratory study, an OSN prototype was developed and implemented in ECIS 2014. The usage of the OSN platform was monitored and in-depth interviews were conducted with seven of its active users.

Academic researchers have positive attitudes toward using conference-based OSN. However, there is a gap between academics’ perceptions and their actual behavior. Several barriers for engagement were identified, leading to technical and social recommendations, including the following needs: integrating the OSN platform with other conference information systems; addressing privacy concerns; allowing on-going collaboration; increasing OSN vitality; using the wisdom of the crowd; and promotion and its timing.

The case study highlighted existing benefits, and identified potential future benefits from implementing a conference-based OSN. Future research is required to generalize the findings and evaluate the proposed strategies for enhancing user engagement.

This study revealed the set of considerations that should be taken upon launching a new academic OSN, which are beyond the technical issues per se.

The paper presents the expected benefits from, and existing barriers to using a conference-based OSN, and suggests recommendations for encouraging academics to engage in such OSN, in order to enhance long-term social interactions, knowledge sharing and collaboration among conference participants.

This is a first study to examine a conference-based OSN.

This paper provides a tool for managers to overcome a common paradox in situations of innovation. The paradox occurs when the commercial viability of ideas for new products and services is unknown, making managers loath to invest scarce resources in developing them for fear that they will lose them if the idea is a non-starter. The result is that ideas sit on the shelf, idle and untested. This paper provides a low-cost, intuitive method for determining if a new idea has sufficient commercial potential to warrant investing in its development, thereby resolving the paradox.

The method is based on six marketing mechanisms derived from crowd funding: choosing a target prospect and positioning, creating a prototype, setting a price based on value, locating prospects; getting an address, communicating with prospects; delivering an effective pitch, and measuring results through advance commitments. The method is illustrated using two entrepreneurial cases.

Managers who use the method can validate ideas in the marketplace quickly and at low cost, obtaining the information they need to justify an investment in the research, planning and analysis required for commercialization.

The paper identifies a common but little discussed obstacle to innovation, the development paradox, and proposes a novel method of overcoming it. Market testing is not new, but most known methods do not solve the development paradox because they require a significant outlay of resources to undertake.

The purpose of this paper is to achieve the multi-objective optimization design of novel tubular switched reluctance motor (TSRM).

First, the structure and initial dimensions of TSRM are obtained based on design criteria and requirements. Second, the sensitivity analysis rules, process and results of TSRM are performed. Third, three optimization objectives are determined by the average electromagnetic force, smoothing coefficient and copper loss ratio. The analytic hierarchy process-entropy method-a technique for order preference by similarity to an ideal solution-grey relation analysis comprehensive evaluation algorithm is used to optimize TSRM. Finally, a prototype is manufactured, a hardware platform is built and static and dynamic experimental validations are carried out.

The sensitivity analysis reveals that parameters significantly impact the performance of TSRM. The results of multi-objective optimization show that the average electromagnetic force and smoothing coefficient after optimization are better than before, and the copper loss ratio reduces slightly. The experimental and simulated results of TSRM are consistent, which verifies the accuracy of TSRM.

In this paper, only three optimization objectives are selected in the multi-objective optimization process. To improve the performance of TSRM, the heating characteristics, such as iron loss, can be considered as the optimization objective for a more comprehensive analysis of TSRM performance.

A novel motor structure is designed, combining the advantages of the TSRM and the linear motor. The established sensitivity analysis rules are scientific and suitable for the effects of various parameters on motor performance. The proposed multi-objective optimization algorithm is a comprehensive evaluation algorithm. It considers subjective weight and objective weight and fully uses the original data and the relational degree between the optimization objectives.

The impact of the loop current (LC) on the motor magnetic field in the analysis of the inter-turn short circuit (ITSC) fault is always ignored. This paper made a comparative study on the electromagnetic field of permanent magnet synchronous motors (PMSM). The purpose of this study is to explore the necessary of the LC existing in the fault analysis and the electromagnetic characteristics of the PMSM with the ITSC fault when taking into account the LC.

Based on the finite element method (FEM), the fault model was established, and the magnetic density of the fault condition was analyzed. The induced electromotive force (EMF) and the LC of the short circuit ring were studied. The three-phase induced EMF and the unbalance of the three-phase current under the fault condition were studied. Finally, a prototype test platform was built to obtain the data of the fault.

The influence of the fault on the magnetic density was obtained. The current phase lag when the ITSC fault occurs causes the magnetic enhancement of the armature reaction. The mechanism that LC hinders the flux change was revealed. The influence of the fault on the three-phase-induced EMF symmetry, the three-phase current balance and the loss was obtained.

The value of the LC in the short circuit ring and the influence of it on the motor electromagnetic field were obtained. On the basis of the electromagnetic field calculation model, the sensitivity of the LC to the magnetic density, induced EMF, current and loss were analyzed.

Taking a 2,000 r/min 10 kW permanent magnet motor as an example, the purpose of this paper is to study the influence of driving modes on the performance of permanent magnet motor at limit conditions, and researched the variation mechanism of motor performance influenced by different driving modes.

A two-dimensional electromagnetic field model of the permanent magnet motor was established, and a rectangular-wave driving circuit was built. By using the finite element method, the electromagnetic field, current, harmonic content and eddy current loss were calculated when the motor operated at rated load and limit load. On the basis of the motor loss calculation, the temperature field of the motor operating at rated condition and limit condition was researched, and the factors that influence motor limit overload capacity were analyzed. By analyzing the motor loss variation at different load conditions, the change mechanism of the motor temperature field was determined further. Combined with the related experiments, the correctness of the above analysis was verified.

Permanent magnet synchronous motor (PMSM) driven by sine wave is better compared with brushless direct current motor (BLDCM) driven by rectangular wave in reducing the magnetic field harmonics, motor losses and optimizing the temperature distribution in the motor. The method driven by sine wave could improve the motor output performance including the motor efficiency and the motor overload capacity. The winding temperature is the most important factor that limits the output capability of PMSM operating for a long time. However, because of the large rotor eddy current losses, the permanent magnet temperature is the most important factor that limits the output capability of BLDCM operating for a long time.

The influence of driving modes on the motor magnetic field, losses and temperature distribution, efficiency and overload capacity was determined, and the influence mechanism was also analyzed. Combined with the analysis of the electromagnetic and temperature fields, the advantages of different driving modes were presented. This study could provide an important basis for the design of permanent magnet motors with different driving modes, and it also provides reference for the application of permanent magnet motor.

This paper presents the influence of driving modes on permanent magnet motors. The limit output capacity of the motor with different driving modes was studied, and the key factors limiting the motor output capability were obtained.

When an enterprise wants to design its distribution chain, it needs first to assess all possible distributors, then select the eligible ones to form the design model. This assessing process can be finished by distributor benchmarking. In this paper, a new approach is developed to benchmark distributors. The benchmarking process is done by the following three steps. First, all factors needed for benchmarking a distributor are identified by a systematic analysis. Second, an internet‐based information acquisition module is developed to get all needed information from possible distributors. Third, an inference module based on the combination of fuzzy logic and array‐based logic is developed to benchmark a distributor. As the information acquisition module is implemented via Internet, and the inference process for benchmarking a distributor is executed by computer applications, it is possible to realize online distributor benchmarking by the approach provided in this paper.