Search results

The purpose of this paper is to propose a multi-feature, multi-metric and multi-loop tightly coupled LiDAR-visual-inertial odometry, M³LVI, for high-accuracy and robust state estimation and mapping.

M³LVI is built atop a factor graph and composed of two subsystems, a LiDAR-inertial system (LIS) and a visual-inertial system (VIS). LIS implements multi-feature extraction on point cloud, and then multi-metric transformation estimation is implemented to realize LiDAR odometry. LiDAR-enhanced images and IMU pre-integration have been used in VIS to realize visual odometry, providing a reliable initial guess for LIS matching module. Location recognition is performed by a dual loop module combined with Bag of Words and LiDAR-Iris to correct accumulated drift. M³LVI also functions properly when one of the subsystems failed, which greatly increases the robustness in degraded environments.

Quantitative experiments were conducted on the KITTI data set and the campus data set to evaluate the M³LVI. The experimental results show the algorithm has higher pose estimation accuracy than existing methods.

The proposed method can greatly improve the positioning and mapping accuracy of AGV, and has an important impact on AGV material distribution, which is one of the most important applications of industrial robots.

M³LVI divides the original point cloud into six types, and uses multi-metric transformation estimation to estimate the state of robot and adopts factor graph optimization model to optimize the state estimation, which improves the accuracy of pose estimation. When one subsystem fails, the other system can complete the positioning work independently, which greatly increases the robustness in degraded environments.

Due to the lack of relevant literatures on the application of mobile augmented reality (AR) service in beauty industry, the purpose of this study is to explore the impact of the mobile AR service on consumers' purchase behavior and brand awareness in beauty industry. And this study also wants to identify the different effects of the relationship among flow experience (concentration, playfulness and exploratory behavior), decision comfort and purchase intention moderated by different levels of consumer characteristics (individualism and fashion innovativeness).

This study set up a research model based on SOR model. The study used AR mobile app named “Youcam Makeup” as stimulus to do the questionnaire survey. First, the authors describe the way to use this AR mobile app and make sure each participant experience this app for about 5 min to understand AR well and finally, finished the questionnaire. SPSS and AMOS were used to do data analysis.

The results of this study showed that first, in the field of fashion and beauty makeup, compared with the ability to control or modify virtual contents – the perception of vividness, reality and aesthetics – are more relevant to consumers. Second, besides the playfulness that AR provides, AR technology can also encourage exploratory behavior in consumers, which will directly affect their intention to purchase. Finally, when using mobile AR technology, consumers with different levels of individualism or fashion innovativeness will gain different perceptions of their purchase intention.

First, the study targets millennial female consumers. The future studies can be conducted on consumers of different age groups. Second, the sampling of this study is insufficient; if it had more samples, the results would be more accurate. Finally, AR is integrated into people's lives; therefore, to not be limited to millennial consumers, demographic characteristics need to be applied to future research.

This study provides a theoretical basis for marketers to formulate marketing strategies. First of all, marketers can use this technology to provide consumers with a more vivid and specific online shopping experience. Second, technical developers can focus on developing the features of AR with the strongest consumer perception based on the results of this study. Finally, this study researched consumer traits that can deepen understanding of both emerging technologies and consumer behavior as compared to research only on mobile AR services. Marketers need to understand the characteristics of consumers when making marketing plans and expand the characteristics of AR technology corresponding to the characteristics of consumers to attract consumers with different attributes.

By using interactive technology, the brand can be closer to consumers and provide help and fun for consumers when they consume online. AR can also lead to future tool reuse behavior, thus establishing long-term relationships with consumers. More than that, AR can be used with the mobile phone, which can be used anytime and anywhere, eliminating space and time constraints. Therefore, the brand can establish cheap and extensive technology as a marketing strategy. Also, it can become one of the most common marketing tools.

This research fills the gap in the literature on mobile AR technology in the beauty industry. Such knowledge will not only facilitate the online development of brands but also help support retailers' development in the beauty industry, providing necessary capabilities for the expansion and application of this new technology. With regard to marketing strategies, the study on consumer characteristic provides the knowledge foundation for marketers to create marketing strategies, which is easier for them to formulate marketing schemes favorable to the brand for varying consumers.

Looks at attitudes of Chinese adolescents to materialism, including the effect of age on materialism and the influence of family and peers. Outlines the values of Chinese culture: thrift, respect for parents, group orientation, social harmony, good manners, face, and academic achievement; these values could impact both positively and negatively on endorsement of materialistic values. Points out that parental expectations of their children’s material success have increased since the one child per family policy. Finds that older adolescents were more materialistic than younger ones, that more materialistic adolescents tended to communicate more with their peers and less with their parents, and that television (which now reaches 92 per cent of households) has no effect because the Chinese government’s strict rules about TV programmes’ content requires them to reflect traditional values.

To meet the emerging demand for fine-grained annotation and semantic enrichment of cultural heritage images, this paper proposes a new approach that can transcend the boundary of information organization theory and Panofsky's iconography theory.

After a systematic review of semantic data models for organizing cultural heritage images and a comparative analysis of the concept and characteristics of deep semantic annotation (DSA) and indexing, an integrated DSA framework for cultural heritage images as well as its principles and process was designed. Two experiments were conducted on two mural images from the Mogao Caves to evaluate the DSA framework's validity based on four criteria: depth, breadth, granularity and relation.

Results showed the proposed DSA framework included not only image metadata but also represented the storyline contained in the images by integrating domain terminology, ontology, thesaurus, taxonomy and natural language description into a multilevel structure.

DSA can reveal the aboutness, ofness and isness information contained within images, which can thus meet the demand for semantic enrichment and retrieval of cultural heritage images at a fine-grained level. This method can also help contribute to building a novel infrastructure for the increasing scholarship of digital humanities.

To achieve proper waste management, the disposal of electronic waste (e-waste) is one suitable method. Most developing countries, including Malaysia, are facing lack of e-waste recycling facilities and low household participation. Using a survey method using a questionnaire, this study aims to examine the intention of Malaysian households to drop-off their mobile phones to the nearest collection boxes (n = 600).

This study expanded the theory of planned behavior by adding environmental awareness and knowledge. In addition, the cost of disposal and the convenience of the available disposal infrastructure were measured as two parts of the perceived behavioral control.

The results of this study show that environmental knowledge and awareness have a significant impact on attitudes toward recycling intention of the households. In addition, it was also found that the attitude and cost of disposal infrastructure is positively related to household intention.

These results show that if e-waste collection boxes are provided to the nearest community and e-waste management information is distributed, this will increase household participation in e-waste management.

The paper proposes looking at the automation of the incident response (IR) process, through formal, systematic and standardized methods for collection, normalization and correlation of security data (i.e. vulnerability, exploit and intrusion detection information).

The paper proposes the incident response intelligence system (IRIS) that models the context of discovered vulnerabilities, calculates their significance, finds and analyzes potential exploit code and defines the necessary intrusion detection signatures that combat possible attacks, using standardized techniques. It presents the IRIS architecture and operations, as well as the implementation issues.

The paper presents detailed evaluation results obtained from real‐world application scenarios, including a survey of the users' experience, to highlight IRIS contribution in the area of IR.

The paper introduces the IRIS, a system that provides detailed security information during the entire lifecycle of a security incident, facilitates decision support through the provision of possible attack and response paths, while deciding on the significance and magnitude of an attack with a standardized method.

This paper presents a generic simulation model to determine the equipment mix (quay, yard and intra-terminal transfer) for a Container Terminal Logistics Operations System (CTLOS). The simulation model for the CTLOS, a typical type of discrete event dynamic system (DEDS), consists of three sub-models: ship queue, loading-unloading operations and yard-gate operations. The simulation model is empirically applied to phase 1 of the Yangshan Deep Water Port in Shanghai. This study considers different scenarios in terms of container throughput levels, equipment utilization rates, and operational bottlenecks, and presents a sensitivity analysis to evaluate and choose reasonable equipment ratio ranges under different operational conditions.

This study aims to investigate the perceptional differences of key stakeholders in assessing the Digital Library Accessibility and Usability Guidelines (DLAUG), in which design information is created and organized by types of help-seeking situations, to support blind and visually impaired (BVI) users. The stakeholders consist of BVI users, digital library (DL) developers and scholars/experts. The focus is on the identification of types of situations in which BVI users and developers show significant perception differences of DLAUG’s relevance, clarity and usefulness than the other two groups, respectively, and the associated reasons.

An in-depth survey was conducted to examine the perceptions of 150 participants representing three groups of key DL stakeholders: BVI users, DL developers and scholars/experts. Both qualitative and quantitative analyses were applied.

The results show that BVI users and developers had significant perception differences of the relevance, clarity and usefulness of the DLAUG than the other two groups held on five situations, mainly because they played distinct roles in the development of DLs with differing goals and expectations for the DL design guidelines.

This is the first study that considers different DL stakeholders to assess DL guidelines to support BVI users.

The purpose of this paper is to review land/real estate registration practice in Hong Kong, and make an in-depth comparison with Mainland China and finally provide helpful suggestions for the government.

Research methods including document analysis/review and comparative study are used in this paper.

The main findings focus on the problems existing in the mainland, including narrow query subject, single way of query, limited query time, and lacking of incentive mechanism. Helpful suggestions for real estate registration system in Mainland China are offered based on the comparative study.

The unified registration system can improve the efficiency of administrative institutions to ensure an open and transparent environment of property right registration, which helps prevent the relevant departments from abusing administrative power and harming the interests of obligees. The findings of this research can serve as a useful reference for policy makers to improve the unified registration system in China.

The registration system/mechanism determines the efficiency and effectiveness of real estate/land market. However, land registration and query in some countries such as Mainland China have institutional problems which hinder the sustained and healthy development of the real estate industry. The value of this paper is to propose constructive suggestions for such countries/regions by comparing and learning from a good model.

The security of the stored biometric template is itself a challenge. Feature transformation techniques and biometric cryptosystems are used to address the concerns and improve the general acceptance of biometrics. The purpose of this paper is to provide an overview of different techniques and processes for securing the biometric templates. Furthermore, the paper explores current research trends in this area.

In this paper, the authors provide an overview and survey of different features transformation techniques and biometric cryptosystems.

Feature transformation techniques and biometric cryptosystems provide reliable biometric security at a high level. There are many techniques that provide provable security with practical viable recognition rates. However, there remain several issues and challenges that are being faced during the deployment of these technologies.

This paper provides an overview of currently used techniques for securing biometric templates and also outlines the related issues and challenges.