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The purpose of this paper is to overcome the limitations of existing celestial horizon references, and improve the navigation accuracy of the strap‐down inertial navigation system/celestial navigation system (SINS/CNS) integrated system with an innovative scheme of deep integration.

First, a novel conception of mathematical horizon reference (MHR) provided by the strap‐down matrix of SINS is proposed. Then, the realization mechanism of the MHR‐based vertical vector is introduced from the viewpoint of vector rotation. Moreover, the MHR implementation scheme of high precision and reliability is presented, and on this basis, the method which utilizes vertical vector to achieve celestial navigation is introduced. In addition, with considering the characteristics of SINS and the MHR‐based CNS, the SINS/CNS deep integrated navigation system and its specific realization are proposed. Finally, simulation tests are implemented to validate this SINS/CNS deep integrated navigation method.

The innovative SINS/CNS deep integrated system could make full use of SINS and CNS navigation information to achieve higher navigation accuracy for the long‐duration and high‐altitude vehicles.

This paper provides a novel realization method of high precision MHR and the MHR‐based SINS/CNS deep integration.

This study aims to investigate the factors that affect the tourists’ intention to visit “Libraries + cultural tourism (LCT)” and enhance the quality of LCT to attract tourists.

An online survey was conducted with 249 LCT tourists in China. By integrating LCT characteristics into the stimulus-organism-response framework, a research model was developed to examine the factors that predict tourists’ intention to visit LCT. The research model was tested using AMOS 24.0.

The results show that social function significantly influences tourists’ flow experience, which in turn affects their intention to visit LCT. Entertainment function and knowledge seeking function have significant impacts on tourists’ social presence, flow experience and perceived knowledge value, which further affect their intention to visit LCT. Flow experience is the strongest predictor of visit intention than social presence and perceived knowledge value. In particular, social presence, flow experience and perceived knowledge value partially mediate the relationships between LCT functions and tourists’ visit intention.

This study contributes to the LCT literature by identifying key factors that drive tourists’ intention to visit LCT projects. The findings have practical implications for enhancing the popularity of LCT.

Magnesium alloys, although valuable, are reactive and require protection before its application in many fields. The purpose of this study was to evaluate a novel anticorrosive chemical conversion film on AZ80 magnesium alloy by environmental-friendly calcium series surface pretreatment.

The corrosion resistance of the film was evaluated by potentiodynamic polarization and electrochemical impedance spectroscopy in 3.5 Wt.% NaCl solution. The surface morphologies, microstructure and composition of the film were investigated by scanning electron microscopy and energy-dispersive spectroscopy.

The corrosion current density of the calcium series film decreased by more than one order of magnitude as compared to that of the AZ80 magnesium alloy. The conversion film presented dry-mud morphology, and its thickness was estimated to be approximately 4 μm. The conversion film was highly hydrophilic, and the organic coating adhesion on treated AZ80 surface was approximately 13.5 MPa.

Excellent performance of the calcium-based chemical conversion film on Mg alloy was obtained, which does not contain heavy metals or fluorides and completely conforms to European RoHS (Restriction of Hazardous Substances) standard.

The purpose of this paper is to examine the impacts of perceived informational value and perceived relational value on feedback-seeking intention in online communities of inquiry (OCoIs). To develop an integrated theoretical framework, the antecedents of perceived informational value and perceived relational value are also investigated.

This study builds on the relational communication theory (RCT) and the social psychology perspective to develop an integrated research model regarding feedback-seeking. Hypotheses were empirically tested using data collected from 262 subjects who are members of OCoIs.

The results indicate that feedback-seeking intention is positively affected by perceived informational and relational value of feedback-seeking. Furthermore, perceived informational value partially mediates the effects of feedback-seeking self-efficacy and learning goal orientation on feedback-seeking intention; perceived relational value partially mediates the effects of social influence and social risk on feedback-seeking intention.

The results suggest that practitioners can promote feedback-seeking by enhancing learners’ informational and relational dependencies on OCoIs. To achieve effective online learning, practitioners should consider learners’ characteristics to provide personalized learning interventions.

This study advances RCT and the social psychology perspective to develop an integrated model for understanding feedback-seeking. The empirical results complement information-related explanations of feedback-seeking by finding that a relationship-related explanation is more important for promoting feedback-seeking in OCoIs. The proposed model also indicates that tolerance for ambiguity serves as a moderator in the relationship between perceived informational value and its antecedents.

The purpose of this paper is to introduce a double-stator switched reluctance machine (DS-SRM) for electric vehicles (EVs) and to propose multi-mode operations for this machine.

Analysis of flux linkage distributions and torque characteristics using finite element method (FEM). Building a dynamic simulation model based on electromagnetic characteristics, mathematical equations and mechanical motion equations of the DS-SRM drive system. The paper proposes multi-mode operations (inner-stator excitation mode, outer-stator excitation mode and double-stator excitation mode) based on motor working regions. It also conducts simulation and experimental results to verify the effectiveness of the proposed multi-mode operations strategies and control schemes.

There is almost no electromagnetic coupling between the inner and outer stators due to the specially designed rotor structure and optimized windings polarity configuration. Analysis of flux linkage distributions and torque characteristics verified the independence of inner and outer stators. Proposal of multi-mode operations and corresponding control rules achieved the smooth switching between different modes.

The paper introduced the DS-SRM for EVs and proposed multi-mode operations, along with control rules, to optimize its performance. The specially designed rotor structure, optimized winding polarity configuration, and the proposed multi-mode operations contribute to the originality of the research.

This paper presented a new kind of ring spinning frame with four pairs of rollers, and they are the front roller and the front top roller, the first middle roller (FMR) and the first middle top roller (FMTR), the second middle roller and the second middle top roller, the back roller and the back top roller. The FMR is the front roller of middle draft zone, and the back roller of the front draft zone. Therefore, the deformation of FMTR during spinning is an important factor for yarn quality, which was studied in this paper.

In this paper, by finite element method (FEM), the pressure and deformation of FMTR were studied. FMTR made from steel and sleeved carbon fiber were compared. 5.8tex, 4.9tex and 3.9tex cotton yarns were spun, and corresponding numerical simulations of FMTR pressure and deformation were presented in ANSYS software and comparatively analyzed. Then, corresponding yarn qualities were compared.

The results indicate that pressure and deformation of FMTR have little effects on yarn tenacity and hairiness, while have great effects on yarn evenness. For 5.8tex and 4.9tex cotton yarn, yarns spun by FMTR made from sleeved carbon fiber have larger pressure and deformation at the middle of nipper bites of FMR and FMTR, and yarn evenness is better. For 3.9tex cotton yarns, at the middle of nipper bites of FMR and FMTR, FMTR made from steel has smaller pressure. But deformation of FMTR made from steel is larger, and yarn evenness is better.

This paper studied pressure and deformation of FMTR by finite element method (FEM), which serve as a theoretical underpinning for yarn spinning in three draft zones ring spinning machine.

This paper aims to understand Chinese tourists’ changing shopping experience in Macao. In scrutinizing reviews posted in the pre-COVID and during COVID eras, the study has identified changing patterns in Chinese tourists’ shopping experiences, including increased leisure components while shopping, decreased luxury pursuits and an improved overall leisure and shopping experience because of decreased prices in accommodation and a less crowded retail and leisure environment. An emergent opportunity to provide “retail-tainment” experience is discussed.

This study aims to illustrate how retail chains with a green image align sustainable logistics actions, logistics measurements and contracts with logistics service providers (LSPs), and to develop a classification model that allows for a description of the various shades of green within companies.

We carried out a multiple case study of four retail chains with a green image operating in the Swedish market, collecting empirical data from the retail chains’ sustainability reports and home pages and conducting interviews with logistics, transportation and supply chain managers.

Based on the literature, we developed a classification model for judging green image, green logistics actions, green measurements and green contracts. The model is used to illustrate the different shades of green found within the respective retail chains. A green image seems well-aligned with green logistics actions. However, there are more levels to judge, and the measurement systems are not sufficiently developed to track green logistics actions. Contract handling is more developed among retail chains than measurements, which is positive, as this is a way of ensuring that LSPs are involved. In our classification model, greenwashing can be judged in a more nuanced way, delving deeper under the surface.

The provided classification model adds to our knowledge and illustrates the alignment within companies’ sustainable logistics. The robustness of the model can be strengthened by applying it to a larger number of cases and by continually validating its content and evaluation criteria.

The study’s main practical contribution is the classification model, which may potentially serve as a method for managers to easily judge the green alignment of a retail chain’s logistics.

Few empirical studies capture how retail chains measure environmental logistics performance, and even fewer concern contracts stipulating the environmental demands placed on LSPs.

How to model blind image deblurring that arises when a camera undergoes ego-motion while observing a static and close scene. In particular, this paper aims to detail how the blurry image can be restored under a sequence of the linear model of the point spread function (PSF) that are derived from the 6-degree of freedom (DOF) camera’s accurate path during the long exposure time.

There are two existing techniques, namely, an estimation of the PSF and a blind image deconvolution. Based on online and short-period inertial measurement unit (IMU) self-calibration, this motion path has discretized a sequence of the uniform speed of 3-DOF rectilinear motion, which unites with a 3-DOF rotational motion to form a discrete 6-DOF camera’s path. These PSFs are evaluated through the discrete path, then combine with a blurry image to restoration through deconvolution.

This paper describes to build a hardware attachment, which is composed of a consumer camera, an inexpensive IMU and a 3-DOF motion mechanism to the best of the knowledge, together with experimental results demonstrating its overall effectiveness.

First, the paper proposes that a high-precision 6-DOF motion platform periodically adjusts the speed of a three-axis rotational motion and a three-axis rectilinear motion in a short time to compensate the bias of the gyroscope and the accelerometer. Second, this paper establishes a model of 6-DOF motion and emphasizes on rotational motion, translational motion and scene depth motion. Third, this paper addresses a novel model of the discrete path that the motion during long exposure time is discretized at a uniform speed, then to estimate a sequence of PSFs.

This aim of this article is to propose a technical solution for digital libraries to establish the information needs ontology based on a comprehensive understanding of personalized user information needs and offer an information push service by really simple syndication (RSS) in a ubiquitous computing environment.

First, the authors formalize an ontology model applicable to the ubiquitous computing environment to describe user information needs comprehensively. The information needs related to the user's research activities are regarded as the ontology, which is described with web ontology language (OWL), and thus an ontology knowledgebase is established. Second, in light of the user's explicit information needs, the digital library finds the hidden information needs from the ontology knowledgebase, and also extracts the information resources required by the user from the corresponding database and then pushes them to the user by means of RSS. Finally, users can browse through a man‐machine interface to access the information.

After these steps, an RSS information push service architecture is established based on the user information needs ontology, providing the users with dynamic, personalized and proactive information services.

The innovation of this research lies in the fact that the architecture that is put forward is helpful to improve the accuracy and integrity of information push service of digital library, and is also beneficial for the research on u‐library.