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Lubricating oil leakage is a common issue in thermal power plant operation sites, requiring prompt equipment maintenance. The real-time detection of leakage occurrences could avoid disruptive consequences caused by the lack of timely maintenance. Currently, inspection operations are mostly carried out manually, resulting in time-consuming processes prone to health and safety hazards. To overcome such issues, this paper proposes a machine vision-based inspection system aimed at automating the oil leakage detection for improving the maintenance procedures.

The approach aims at developing a novel modular-structured automatic inspection system. The image acquisition module collects digital images along a predefined inspection path using a dual-light (i.e. ultraviolet and blue light) illumination system, deploying the fluorescence of the lubricating oil while suppressing unwanted background noise. The image processing module is designed to detect the oil leakage within the digital images minimizing detection errors. A case study is reported to validate the industrial suitability of the proposed inspection system.

On-site experimental results demonstrate the capabilities to complete the automatic inspection procedures of the tested industrial equipment by achieving an oil leakage detection accuracy up to 99.13%.

The proposed inspection system can be adopted in industrial context to detect lubricant leakage ensuring the equipment and the operators safety.

The proposed inspection system adopts a computer vision approach, which deploys the combination of two separate sources of light, to boost the detection capabilities, enabling the application for a variety of particularly hard-to-inspect industrial contexts.

Recent research has demonstrated that people are more likely to engage with fatty food content online. One way health advocates might facilitate engagement with healthier, calorie-light foods is to alter how people process food media. This research paper aims to investigate the moderating role of viewer mindset on consumer responses to digital food media.

Two experiments were conducted by manipulating the caloric density of food media content and/or one’s mindset before viewing.

Results show that the relationship between nutrition and engagement is moderated by consumer mindset, where activating a more calculative mindset before exposure can elevate social media engagement for calorie-light food media content.

These findings contribute to the domain of obesogenic digital environments and the role of nutrition in consuming food media. By examining how mindsets interact with affective evaluations, this work demonstrates that a default mindset based on instinct can be shifted and thus alter subsequent behavioral intentions.

This work provides insight into what can boost the visibility and engagement of healthy food content on social media. Marketers can help promote healthier food media by cueing consumers to think more deliberately before exposure.

This research builds on recent work by demonstrating how to boost engagement with healthy foods on social media by cueing a more thoughtful mindset.

With the development of the modern economy, vehicles are no longer a luxury for people, which greatly facilitate people’s daily life, but at the same time bring traffic congestion. How to relieve traffic congestion and improve its capacity is a hot research area. This paper aims to propose a new simulation framework for crowd transportations to ease traffic congestion.

This paper establishes related simulation models such as vehicles, traffic lights and advisers. Then the paper describes their relationships, gives their interaction mechanism and solidifies the above into a software implementation framework.

This paper proposes a simulation framework for crowd transportations.

In this framework, traffic lights are used as a control method to control the road network and road conditions are used as an Affecter to influence individual behavior. The vehicle passing rate is defined by the correlation between endowment and the start time of the traffic lights. In this framework, members are related, dynamically adjusted according to road conditions and dynamically optimized member decisions. The optimal path is dynamic and real-time adjustments are made for each step forward. It is different from the traditional optimal path in which there is only one fixed one and it is different from the macroscopic optimal path that does not exist.

The purpose of this paper is to report the grounded theory empirical validation on key categories within a design-led methodology to envision urban futures. The paper focuses on the editorial products and the design concepts that constitute the heart of the approach. An original elaboration of trend clusters is presented as an exemplification of the outcome of this trend research approach. Although the approach was not created from the viewpoint of tourism and leisure, bibliographic notes on place-making complement it for this journal.

The paper presents empirical findings extracted by the means of the grounded theory, with the purpose to empirically validate two key categories (product and process) of a urban futures methodology. The methodology is an application of High Design, the process in use at Royal Philips BV for two decades. This methodology is contextualized within the constructivist episteme, as defined by the editors of this journal in a separate publication. Bibliographic references to place-making complete the paper.

The following findings are provided: empirical validation of the city.people.light communication platform (qualitative research); empirical validation of the city.people.light workshop practice (qualitative research); and bibliographic descriptions of the design process governing city.people.light and newly developed urban futures trend clusters, at European level, as an exemplification of the program/approach outcome.

The paper is structured according to a multi-layered editorial focus. Empirical findings were generated at primary research level in a 2013-2015 grounded theory projected by the author. Furthermore, the author directed the research processes and products that are the object of empirical validation. Newly defined elaborations and a discussion thereof is offered, taking into account contemporary place-making issues.

The original design-based methodology is a structured practice in urban futures from applied sciences and corporate innovation viewpoint. In this paper, its key categories are empirically validated through the grounded theory. Additionally, outcome from the original foresight programs is presented and a bibliographic review is provided from the viewpoint of place-making.

The co-creative methodology herein empirically validated is socio-cultural centered, with a strong drive to coutnerbalance the positivist and engineering corporate mindset through a humanistic concern for people. The framework in terms of place-making takes into account postmodern evolutions of the field.

The paper benefits from a unique mix of: epistemic note on tourism, leisure, and the future; original urban futures scenarios and design concepts from a world class corporate innovation program; and the actual empirical core of the grounded theory validation as performed in a dedicated research project. These three separate streams are mutually related.

Purpose – The purpose of this study was to determine the efficacy value of national street lighting on energy conservation and carbon dioxide (CO₂) emission reduction.

Design/Methodology/Approach – The methods used are the measurement of electrical parameters (low voltage network), the national road illumination level with SON lamp specification, 400 W, 180 W, and 110 Lumen/W, the simulation of energy conservation calculation, and the CO₂ emission reduction obtained by utilizing panel solar cells as a source of energy and LED lights for illumination.

Finding – The results show the efficacy of a 100-W light bulb at an altitude of 8 m for the following specification of light bulbs: LED, 130 Lumens/W, SON, 110 Lumen/W, and MBF, 53 Lumen/W gives the illumination level respectively 13,913 Lux, 11,773 Lux, and 5,672 Lux. By replacing the 180 W SON lamp with an LED, 100 W, of energy conservation by 3.171 GW h is obtained, which is equivalent to a CO₂ emission reduction of 3.641 kTon CO₂.

Originality/Value – This study is a continuation of a study of energy conservation with the utilization of solar cells as an electrical power source for an LED bulb that replaces low-voltage networks as a power source for the bulb type SON.

Architectural theorists have a long tradition of acknowledging the centrality of building users to architectural production. This article contributes to the discourse on architecture, actor–network theory (ANT), and users by proposing a typology of user translations ranging from supporting to tinkering to adjusting to resisting.

The research utilises an ANT-inspired ethnography of sustainable lighting scripts at the Masdar Institute of Science and Technology (MIST). It comprises semi-structured interviews with MIST designers and students, and site visits and participant observation to understand how the users interpret the scripts and how they interact and change them on a daily basis.

There is a shared understanding that users do not simply receive architectural designs but interpret and change them to suit their preferences. The findings reveal the multiple ways that users interpret and respond to the assumptions of designers and in the process, recast the relations between themselves and their material surroundings.

The research contributes to acknowledging the centrality of users to architectural design processes and the interpretation of design scripts, addressing the limitation in current literature in demonstrating the diversity of ways that users react to such scripts. The research suggests that user actions have significant implications on long-term building performance. It accordingly points to the need for devising multiple means of user involvement in the design process and allowing greater flexibility in design scripts to improve the alignment with user preferences.

This paper presents the Edge Load Management and Optimization through Pseudoflow Prediction (ELMOPP) algorithm, which aims to solve problems detailed in previous algorithms; through machine learning with nested long short-term memory (NLSTM) modules and graph theory, the algorithm attempts to predict the near future using past data and traffic patterns to inform its real-time decisions and better mitigate traffic by predicting future traffic flow based on past flow and using those predictions to both maximize present traffic flow and decrease future traffic congestion.

ELMOPP was tested against the ITLC and OAF traffic management algorithms using a simulation modeled after the one presented in the ITLC paper, a single-intersection simulation.

The collected data supports the conclusion that ELMOPP statistically significantly outperforms both algorithms in throughput rate, a measure of how many vehicles are able to exit inroads every second.

Furthermore, while ITLC and OAF require the use of GPS transponders and GPS, speed sensors and radio, respectively, ELMOPP only uses traffic light camera footage, something that is almost always readily available in contrast to GPS and speed sensors.

To advance marketing research and practice, this study aims to examine the application of the innovative, mobile-applicable neuroimaging method – mobile functional near-infrared spectroscopy (mfNIRS) – in the field of marketing research, providing comprehensive guidelines and practical recommendations.

A general review and investigation of when and how to use mfNIRS in business-to-consumer and business-to-business marketing settings is used to illustrate the utility of mfNIRS.

The research findings help prospective marketing and consumer neuroscience researchers to structure mfNIRS experiments, perform the analysis and interpret the obtained mfNIRS data.

The application of mfNIRS offers opportunities for marketing research that allow the exploration of neural processes and associated behaviour of customers in naturalistic settings.

The application of mfNIRS as a neuroimaging method enables the investigation of unconscious neural processes that control customer behaviour and can act as process variables for companies.

This is one of the first studies to provide comprehensive guidelines and applied practical recommendations concerning when and how to apply mfNIRS in marketing research.

This study aims to analyze the impact of Arab Revolution on the Arabian Gulf security by applying on Yemeni Revolution. This can be achieved by analyzing the threat of Arab Spring Revolutions to the national security of the Gulf Cooperation Council (GCC) countries after the breakout of demonstrations and protests in some of the member states. In addition to its analysis of threat of the Regional Security of the Gulf as a result of Yemeni Revolution and Civil War and Iranian intervention to support Houthis within light of regional anarchy and security competition according to the Neorealism and how the GCC Countries face such threats.

The study depended on the historical methodology to track the developments of some events related to the Gulf Security and crisis in Yemen. Moreover, it used the analytical approach to analyze the impact of Arab Revolutions and Yemeni Civil War on the Arab Gulf Security. In addition, it depended on the realistic approach to explain the security state at the national and regional level of the Arab Gulf countries within light of regional anarchy, security competition and Iranian support to Houthis “Non-State Actors” (Kenneth Waltz), as well as the offensive realism (John Mearsheimer).

The Arab Revolutions had an effect on the national security of GCC countries according to the Neorealism due to the breakout of demonstrations and protests in Saudi Arabia, Kuwait and Sultanate of Oman which reached to the degree of threatening the existence of the state as in Bahrain. The Gulf Regional Security is influenced by Revolution and Civil War in Yemen as a result of that Iranian support to Houthis within light of security competition between Iran and Saudi Arabia, leading to the threat of the Arabian Gulf Security as Yemen is the southern gate to the GCC Countries and having joint borders with Saudi Arabia and Sultanate of Oman. Moreover, the GCC countries dealt with that threat individually, such as, performing internal reforms, or collectively through using military force, such as Bahrain and Yemen (Offensive Realism).

This study is an introduction to explain the Arab Spring Revolutions, conflict in Yemen and its threat to the Arab Gulf Security according to the Neorealism based on that the GCC countries sought to keep its existence and sovereignty in confrontation to the demonstrations and internal protests and to keep the regional security in confrontation to the threats of neighboring countries such as the Civil War in Yemen and the Iranian Support to Houthis in light of the regional anarchy.