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Most source recording device identification models for Web media forensics are based on a single feature to complete the identification task and often have the disadvantages of long time and poor accuracy. The purpose of this paper is to propose a new method for end-to-end network source identification of multi-feature fusion devices.

This paper proposes an efficient multi-feature fusion source recording device identification method based on end-to-end and attention mechanism, so as to achieve efficient and convenient identification of recording devices of Web media forensics.

The authors conducted sufficient experiments to prove the effectiveness of the models that they have proposed. The experiments show that the end-to-end system is improved by 7.1% compared to the baseline i-vector system, compared to the authors’ previous system, the accuracy is improved by 0.4%, and the training time is reduced by 50%.

With the development of Web media forensics and internet technology, the use of Web media as evidence is increasing. Among them, it is particularly important to study the authenticity and accuracy of Web media audio.

This paper aims to promote the development of source recording device identification and provide effective technology for Web media forensics and judicial record evidence that need to apply device source identification technology.

The efficient delivery of environmental information to wayfinders in complex environments is a challenge for information designers. Wayfinding tasks can be quite strenuous and frustrating in the visual absence of dedicated wayfinding information. This study aims to explore the behaviour regarding the use of wayfinding information by navigators in complex environments.

An experiment has been conducted in which participants have performed wayfinding tasks in a spatially complex university campus. The participants were instructed to use the think-aloud protocol during the experiment. The behaviour has been recorded using the head-mounted video recorder (GoPro), mobile phone screen (audio\video) recorder and interview. Twelve university students have been selected based on the equal level of spatial ability using the Santa Barbara Sense of Direction scale. Each participant performed three wayfinding tasks to locate the unknown locations inside the campus using a mobile wayfinding application and other information sources.

The results of this study demonstrated significant behavioural preferences in acquiring wayfinding information. Most of the participants synthesised the static and mobile wayfinding information sources, while some preferred only the static ones. Gender differences have also been found for planning and route finding. This study recommends the syntheses of static and mobile wayfinding information for designing an efficient institutional wayfinding system.

The sample size has been kept small because of the qualitative exploration of the wayfinding behaviour regarding the wayfinding information syntheses behaviour. The experiment findings can be further explored with larger data set and controlled behavioural metrics. This study can help understand the user requirements in facilities management for spatially complex institutional environments.

The current findings can be further used to develop a framework for wayfinding information designers to assist them in understanding the current practices and incorporate them for improving institutional wayfinding systems. The management of the offered facilities within an institution can be further improved to make the space more efficient by saving users’ time and efforts.

Information syntheses or symbiosis of environmental information with the beacon-based digital wayfinding system is a new concept. This study explores the potential of such information syntheses for enhancing the legibility of complex institutional environments.

No comprehensive set of data elements for describing computer software has previously been developed. Applications determine the need for specific data elements. This article presents a comprehensive profile of data elements, and identifies their probable application in library catalogs, bibliographic references, program documentation, program front matter, program packaging, software catalogs and eye‐legible labels. The data elements are correlated with existing MARC tags, providing compatibility with current usage.

‐‐ The purpose of this paper is to provide a brief introduction to software applications that make nature field guides accessible on computers, including desktop and mobile devices such as smartphones and tablets, and to describe some specific products that are available.Design/methodology/approach ‐‐ This article discusses the development and proliferation of software applications or “apps” for nature field guides. Common features of such apps and some specific examples are presented.Findings ‐‐ Numerous field guide apps are available for identifying animals, plants, and other natural phenomena using mobile computing devices or smartphones. Apps for mobile devices retain the traditional quality of portability for field guides, and most of these apps offer high quality photographs along with descriptive text. Some products include audio files for identifying bird songs or frog calls. Features for users include the ability to maintain life lists and to search guide contents using graphic icons, animal or plant markings, or colors.Originality/value ‐‐ Reviews of nature field guides have generally focused on print sources or electronic book editions of print titles. While several newspapers, magazines, and websites have published reviews of mobile field guide apps, an introduction and reviews have not yet been published in a source like Reference Reviews.

Cooperative driving refers to a notion that intelligent system sharing controlling with human driver and completing driving task together. One of the key technologies is that the intelligent system can identify the driver’s driving intention in real time to implement consistent driving decisions. The purpose of this study is to establish a driver intention prediction model.

The authors used the NIRx device to measure the cerebral cortex activities for identifying the driver’s braking intention. The experiment was carried out in a virtual reality environment. During the experiment, the driving simulator recorded the driving data and the functional near-infrared spectroscopy (fNIRS) device recorded the changes in hemoglobin concentration in the cerebral cortex. After the experiment, the driver’s braking intention identification model was established through the principal component analysis and back propagation neural network.

The research results showed that the accuracy of the model established in this paper was 80.39 per cent. And, the model could identify the driver’s braking intent prior to his braking operation.

The limitation of this study was that the experimental environment was ideal and did not consider the surrounding traffic. At the same time, other actions of the driver were not taken into account when establishing the braking intention recognition model. Besides, the verification results obtained in this paper could only reflect the results of a few drivers’ identification of braking intention.

This study can be used as a reference for future research on driving intention through fNIRS, and it also has a positive effect on the research of brain-controlled driving. At the same time, it has developed new frontiers for intention recognition of cooperative driving.

This study explores new directions for future brain-controlled driving and wheelchairs.

The driver’s driving intention was predicted through the fNIRS device for the first time.

Organisations either keep spares for their own use, or‐for‐sale to other organisations. In either case, the ultimate need is to be able to replace worn or defective parts in operational machinery or equipment. In an economic sense, spares are kept to meet the needs of the situation in the cheapest way.

The following classified, annotated list of titles is intended to provide reference librarians with a current checklist of new reference books, and is designed to supplement the RSR review column, “Recent Reference Books,” by Frances Neel Cheney. “Reference Books in Print” includes all additional books received prior to the inclusion deadline established for this issue. Appearance in this column does not preclude a later review in RSR. Publishers are urged to send a copy of all new reference books directly to RSR as soon as published, for immediate listing in “Reference Books in Print.” Reference books with imprints older than two years will not be included (with the exception of current reprints or older books newly acquired for distribution by another publisher). The column shall also occasionally include library science or other library related publications of other than a reference character.

CIVIL Aviation authorities throughout the world have introduced, or are in the process of introducing, legislation which requires passenger‐carrying aircraft operators to install a flight data recording device. The recorder will monitor a number of parameters which, it is felt, would be an aid to accident investigation procedures; in addition it will have to survive the environmental conditions which would exist in the event of an aircraft crash. Regulations differ from country to country, but in general the American Federal Aviation Agency, the British Air Registration Board, and the Canadian Department of Transport set the standard.

The purpose of this study is to introduce the top-level design ideas and the overall architecture of earthquake early-warning system for high speed railways in China, which is based on P-wave earthquake early-warning and multiple ways of rapid treatment.

The paper describes the key technologies that are involved in the development of the system, such as P-wave identification and earthquake early-warning, multi-source seismic information fusion and earthquake emergency treatment technologies. The paper also presents the test results of the system, which show that it has complete functions and its major performance indicators meet the design requirements.

The study demonstrates that the high speed railways earthquake early-warning system serves as an important technical tool for high speed railways to cope with the threat of earthquake to the operation safety. The key technical indicators of the system have excellent performance: The first report time of the P-wave is less than three seconds. From the first arrival of P-wave to the beginning of train braking, the total delay of onboard emergency treatment is 3.63 seconds under 95% probability. The average total delay for power failures triggered by substations is 3.3 seconds.

The paper provides a valuable reference for the research and development of earthquake early-warning system for high speed railways in other countries and regions. It also contributes to the earthquake prevention and disaster reduction efforts.

The aim of this paper is to evaluate the use of blockchain for identity management (IdM) in the context of the Internet of things (IoT) while focusing on privacy-preserving approaches and its applications to healthcare scenarios.

The paper describes the most relevant IdM systems focusing on privacy preserving with or without blockchain and evaluates them against ten selected features grouped into three categories: privacy, usability and IoT. Then, it is important to analyze whether blockchain should be used in all scenarios, according to the importance of each feature for different use cases.

Based on analysis of existing systems, Sovrin is the IdM system that covers more features and is based on blockchain. For each of the evaluated use cases, Sovrin and UniquID were the chosen systems.

This paper opens new lines of research for IdM systems in IoT, including challenges related to device identity definition, privacy preserving and new security mechanisms.

This paper contributes to the ongoing research in IdM systems for IoT. The adequacy of blockchain is not only analyzed considering the technology; instead the authors analyze its application to real environments considering the required features for each use case.