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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.

The purpose of this study is to use visual and inertial sensors to achieve real-time location. How to provide an accurate location has become a popular research topic in the field of indoor navigation. Although the complementarity of vision and inertia has been widely applied in indoor navigation, many problems remain, such as inertial sensor deviation calibration, unsynchronized visual and inertial data acquisition and large amount of stored data.

First, this study demonstrates that the vanishing point (VP) evaluation function improves the precision of extraction, and the nearest ground corner point (NGCP) of the adjacent frame is estimated by pre-integrating the inertial sensor. The Sequential Similarity Detection Algorithm (SSDA) and Random Sample Consensus (RANSAC) algorithms are adopted to accurately match the adjacent NGCP in the estimated region of interest. Second, the model of visual pose is established by using the parameters of the camera itself, VP and NGCP. The model of inertial pose is established by pre-integrating. Third, location is calculated by fusing the model of vision and inertia.

In this paper, a novel method is proposed to fuse visual and inertial sensor to locate indoor environment. The authors describe the building of an embedded hardware platform to the best of their knowledge and compare the result with a mature method and POSAV310.

This paper proposes a VP evaluation function that is used to extract the most advantages in the intersection of a plurality of parallel lines. To improve the extraction speed of adjacent frame, the authors first proposed fusing the NGCP of the current frame and the calibrated pre-integration to estimate the NGCP of the next frame. The visual pose model was established using extinction VP and NGCP, calibration of inertial sensor. This theory offers the linear processing equation of gyroscope and accelerometer by the model of visual and inertial pose.

The purpose of this study is to generate diversified results for temporally ambiguous queries and the candidate queries are ensured to have a high coverage of subtopics, which are derived from different temporal periods.

Two novel time-aware query suggestion diversification models are developed by integrating semantics and temporality information involved in queries into two state-of-the-art explicit diversification algorithms (i.e. IA-select and xQuaD), respectively, and then specifying the components on which these two models rely on. Most importantly, first explored is how to explicitly determine query subtopics for each unique query from the query log or clicked documents and then modeling the subtopics into query suggestion diversification. The discussion on how to mine temporal intent behind a query from query log is also followed. Finally, to verify the effectiveness of the proposal, experiments on a real-world query log are conducted.

Preliminary experiments demonstrate that the proposed method can significantly outperform the existing state-of-the-art methods in terms of producing the candidate query suggestion for temporally ambiguous queries.

This study reports the first attempt to generate query suggestions indicating diverse interested time points to the temporally ambiguous (input) queries. The research will be useful in enhancing users’ search experience through helping them to formulate accurate queries for their search tasks. In addition, the approaches investigated in the paper are general enough to be used in many domains; that is, experimental information retrieval systems, Web search engines, document archives and digital libraries.

The objective of this research is to methodically categorize the various types of Open Government Data (OGD) stakeholders, and to elucidate the intricate network relationships among OGD stakeholders, along with the underlying mechanisms that shape their formation.

To comprehend the collaboration mechanism of stakeholders in the OGD ecosystem, the authors constructed an OGD multi-stakeholder relationship network by using data from the Shandong Province Data Application Innovation and Entrepreneurship Competition. Based on the structural social capital theory and exponential random graph model (ERGM), an analytical framework was established to explore the formation mechanism of the collaborative network of OGD multi-stakeholder.

The results indicate that multi-stakeholder collaboration among government, enterprises and the public is crucial for achieving OGD goals. Organizing OGD competitions serves as an effective mechanism for solidifying and maintaining relationships among OGD stakeholder groups. Degree centrality and structural parameters reveal a Matthew effect within the connection process of the OGD ecosystem's collaborative network. Additionally, there is evidence of agglomeration and transferability within the network's structure.

This study contributes to the understanding regarding the formation mechanism of OGD stakeholders. The findings have implications for developing multi-stakeholder relationship networks of OGD and driving OGD initiatives.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2023-0284

The purpose of this paper is to predict news intent by exploring contextual and temporal features directly mined from a general search engine query log.

First, a ground-truth data set with correctly marked news and non-news queries was built. Second, a detailed analysis of the search goals and topics distribution of news/non-news queries was conducted. Third, three news features, that is, the relationship between entity and contextual words extended from query sessions, topical similarity among clicked results and temporal burst point were obtained. Finally, to understand the utilities of the new features and prior features, extensive prediction experiments on SogouQ (a Chinese search engine query log) were conducted.

News intent can be predicted with high accuracy by using the proposed contextual and temporal features, and the macro average F1 of classification is around 0.8677. Contextual features are more effective than temporal features. All the three new features are useful and significant in improving the accuracy of news intent prediction.

This paper provides a new and different perspective in recognizing queries with news intent without use of such large corpora as social media (e.g. Wikipedia, Twitter and blogs) and news data sets. The research will be helpful for general-purpose search engines to address search intents for news events. In addition, the authors believe that the approaches described here in this paper are general enough to apply to other verticals with dynamic content and interest, such as blog or financial data.

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 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.

The purpose of this paper is to provide a framework to illustrate how network governance based on banks’ e-commerce platform reduces loan risks and mitigates credit rationing in supply chain financing (SCF).

The authors conceptualize network governance in terms of authority structure and interorganizational mechanism dimensions, and derive the model of its determinants through arguments drawn from the existing literature. Structural equation modeling is employed to test the theoretical model on data collected from a sample of 271 independent supply chain trading partners in rural China.

The findings indicate that network governance based on banks’ e-commerce platform could integrate the operations and finances in supply chain management to solve the problems of information asymmetry, costly monitoring, insufficient qualified collaterals and mitigate farmers’ credit rationing. The collaborative credit-granting mechanism and collaborative debt enforcement mechanism formed by the authority structure and interorganizational mechanisms are the key factors to realize the complete compatibility of incentives. The bank e-commerce platform can provide a foundation for the authority structure and interorganizational mechanisms to enhance the predictability of applicants’ transaction and then safeguard the financial exchanges in supply chain.

The research results indicate that it is important to support farmers to establish long-term transaction relationships with leading enterprises through organizational innovation in the development of agricultural industrialization and build a visualization platform for SCF through technological innovation.

This paper contributes to the limited knowledge about network governance mechanisms in SCF by illustrating the model of network governance based on banks’ e-commerce platform and its determinants.

This paper aims to establish a model to evaluate the benefits of building information modeling (BIM) from the owners' perspective. The model analyzes the correlation between five secondary benefit indicators and their subsystems: product, financial, organizational, management and strategic. The final key factors of BIM benefits provide a decision-making basis for owners to raise the efficiency of BIM application.

Firstly, the authors combed 31 BIM-related literature and interviewed experts to identify 15 preliminary benefit indicators. The authors established a BIM benefit evaluation system based on relevant concepts, including two primary indicators, five secondary indicators and 15 tertiary indicators. Secondly, the authors analyzed the indicators by the extension theory of matter element analysis and a questionnaire survey of expert opinion. Finally, the new method was applied to a case study of a large shopping center in east China for empirical verification.

A BIM benefit evaluation model, including a three-tiered hierarchy of primary, secondary and tertiary indicators, was constructed through literature review and expert opinions. The model determined the critical factors of BIM benefits, enhanced understanding of owner benefits and improved BIM application under the owners' leadership.

At present, most studies focus on specific project stages or benefit indicators. This study developed an integrated BIM benefit evaluation system that targets owners. The findings could foster the development of China's construction industry, promote owner-led BIM application and advocate adopting the benefit evaluation method.

This study investigates how employees' work- and social-related use of social media can individually and interactively render different impacts on employees' performance in the context of internal or external social media.

To test the research model in these two different contexts, the authors collected data from 392 internal social media users and 302 external social media users in the workplace.

The data suggest that the respondents' job performance can be enhanced when using internal social media for work-related purposes and using external social media for social-related purposes. Meanwhile, the interaction of work- and social-related use is positive for external social media but negative for internal social media on job performance. These findings highlight the significant distinction of social media use in the workplace.

First, this study contributes to the literature on the business value of IT by providing theoretical arguments on how companies can capitalize efforts to consider work-related use in combination with social-related use to create business value. Second, this research theorizes two distinct yet interacting views of social media use. The authors offer a more granular insight of the paths from work- and social-related use to employee performance instead of encapsulating social media use in a unitary concept and linking it simply and broadly to employee performance. Third, this research considers the interdependent effects of work- and social-related use on employee performance, and thus goes beyond the independent roles of these two types of social media use. Fourth, the authors find that the links from employees' work- and social-related use of social media to job performance vary in different contexts.