A Systematic Review on IoT-Based Smart Technologies for Seat Occupancy and Reservation Needs in Smart Libraries at Institution of Higher Learning

The introduction of industry 4.0 technologies, including artificial intelligence (AI), the Internet of Things (IoT), and other cutting-edge technological developments, has completely transformed traditional library practises in higher education. Despite the topic’s unquestionable importance, the main objective of this chapter is to address the effects of IoT technology and it is inconsistent and dispersed. However, there are various challenges, such as accurate reservation methods, real-time seat occupancy tracking, and reservation time estimation. To discover, compare, and characterize current investigations in the Smart Library Seat Occupancy and Reservation system (SLSORS), this proposed book chapter examined articles published between 2016 and 2022. In the SLSORS, we will also give a thorough taxonomy and perform a technical analysis of the articles. This provides the much-needed clarity regarding the problems associated with SLSORS and their available literature-based solutions. The fundamental taxonomy is framed by the reservation security, seat reservation, seat selection, and seat availability criteria. Thus, the benefits and drawbacks of the selected approaches are also offered, along with a full comparison of evaluation methodology, evaluation tools, and evaluation metrics. Furthermore, this chapter incorporates all processes and method for SLSORS and drew attention to the ongoing challenges that this chapter is seeking to address

A serial dual-channel library occupancy detection system based on Faster RCNN

The phenomenon of seat occupancy in university libraries is a prevalent issue. However, existing solutions, such as software-based seat reservations and sensors-based occupancy detection, have proven to be inadequate in effectively addressing this problem. In this study, we propose a novel approach: a serial dual-channel object detection model based on Faster RCNN. Furthermore, we develop a user-friendly Web interface and mobile APP to create a computer vision-based platform for library seat occupancy detection. To construct our dataset, we combine real-world data collec-tion with UE5 virtual reality. The results of our tests also demonstrate that the utilization of per-sonalized virtual dataset significantly enhances the performance of the convolutional neural net-work (CNN) in dedicated scenarios. The serial dual-channel detection model comprises three es-sential steps. Firstly, we employ Faster RCNN algorithm to determine whether a seat is occupied by an individual. Subsequently, we utilize an object classification algorithm based on transfer learning, to classify and identify images of unoccupied seats. This eliminates the need for manual judgment regarding whether a person is suspected of occupying a seat. Lastly, the Web interface and APP provide seat information to librarians and students respectively, enabling comprehensive services. By leveraging deep learning methodologies, this research effectively addresses the issue of seat occupancy in library systems. It significantly enhances the accuracy of seat occupancy recognition, reduces the computational resources required for training CNNs, and greatly improves the effi-ciency of library seat management

Small scale deployment of seat occupancy detectors

National Research Foundation (NRF) Singapore under IDM Futures Funding Initiativ

Sensor Technologies for Intelligent Transportation Systems

Modern society faces serious problems with transportation systems, including but not limited to traffic congestion, safety, and pollution. Information communication technologies have gained increasing attention and importance in modern transportation systems. Automotive manufacturers are developing in-vehicle sensors and their applications in different areas including safety, traffic management, and infotainment. Government institutions are implementing roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. By seamlessly integrating vehicles and sensing devices, their sensing and communication capabilities can be leveraged to achieve smart and intelligent transportation systems. We discuss how sensor technology can be integrated with the transportation infrastructure to achieve a sustainable Intelligent Transportation System (ITS) and how safety, traffic control and infotainment applications can benefit from multiple sensors deployed in different elements of an ITS. Finally, we discuss some of the challenges that need to be addressed to enable a fully operational and cooperative ITS environment

Multimodal, intermodal and terminals

The chapter looks at rail freight terminals, rail--sea interfaces, in particular, as part of a multimodal, or integrated transportation network. Terminals are key infrastructure for linking individual transport modes and governing and managing their interchange in a manner that creates a seamless and sustainable transportation system. Therefore, their performance is critical for maximising transport efficiency and modes integration. This chapter focused on how to measure the operational performance of rail freight terminals in a framework of integrated transportation network. In an increasingly competitive and commercialised world, there is an increasing demand to be able to rank transport options and routes in some way. Drawing on new material, this talk attempts to outline possible methods for how to measure the performance of rail terminals. It focuses on the identification of suitable methods to assess performance by key indicators. Intermodality demands for going beyond safeguarding the individual modes to ensuring the security of the intermodal inter-faces (terminals), the nodes that link and integrate passenger and freight flows. That demands for an integrated holistic approach built on the collaboration between international, national organisations and operators. The study put emphasis on the security challenges and threats to freight transport generally and in rail-sea interfaces more specifically. It moves onto the regulations already governing security in rail-sea interfaces. Finally, it focus on the role that infrastructure planning can play in improving security and offer some conclusions and recommendations for the futur

Enabling Human Centric Smart Campuses via Edge Computing and Connected Objects

Early definitions of Smart Building focused almost entirely on the technology aspect and did not suggest user interaction at all. Indeed, today we would attribute it more to the concept of the automated building. In this sense, control of comfort conditions inside buildings is a problem that is being well investigated, since it has a direct effect on users’ productivity and an indirect effect on energy saving. Therefore, from the users’ perspective, a typical environment can be considered comfortable, if it’s capable of providing adequate thermal comfort, visual comfort and indoor air quality conditions and acoustic comfort. In the last years, the scientific community has dealt with many challenges, especially from a technological point of view. For instance, smart sensing devices, the internet, and communication technologies have enabled a new paradigm called Edge computing that brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. This has allowed us to improve services, sustainability and decision making. Many solutions have been implemented such as smart classrooms, controlling the thermal condition of the building, monitoring HVAC data for energy-efficient of the campus and so forth. Though these projects provide to the realization of smart campus, a framework for smart campus is yet to be determined. These new technologies have also introduced new research challenges: within this thesis work, some of the principal open challenges will be faced, proposing a new conceptual framework, technologies and tools to move forward the actual implementation of smart campuses. Keeping in mind, several problems known in the literature have been investigated: the occupancy detection, noise monitoring for acoustic comfort, context awareness inside the building, wayfinding indoor, strategic deployment for air quality and books preserving

Investigating the influence of cultural background on daylight perception

Millions of people migrate every year, aiming to settle either permanently or temporarily in new places. People from countries with different intensities of daylight might have various perceptions and expectations towards the climatic and indoor conditions. It might result from a previously accustomed lighting environment and other associated factors, namely individual cultural background. It is important because study outcomes may be utilised by architects and lighting professionals on how to design buildings and interior spaces depending on occupants’ perceptions and expectations to increase occupants’ satisfaction. This knowledge also can be used to save energy because the efficient use of daylight can reduce the energy consumption of both HVAC and illumination systems. To date, few studies have explored the relationship between cultural background and daylight perception; however, they mostly focused on glare sensitivity rather than daylight intensity. Cross-cultural studies aiming to investigate lighting preferences in interior environments are also rare. What is not yet known is the importance of cultural background and its impact on daylight perception, expectation, and satisfaction. Therefore, the development of a methodology for assessing daylight perception and its application in the context of cultural background are the main objectives of this research project, in order to investigate the impact of cultural background on daylight perception. In this thesis, three subjective evaluation methods were used to assess participants' daylight perceptions: subjective ratings, seat preference, and daylight boundary line drawings, and the perceived daylight availability obtained through these methods were compared to measured daylight availability. It was demonstrated that perceived daylight availability obtained through seat preference and subjective statement methods corresponds to some extent with actual daylight availability (p<0.01 and p =0.002, respectively). The findings obtained from both students’ seat selections and occupancy data from motion sensors in the library also highlighted the importance of daylight availability in the seat selection of students in the libraries. However, the lit area drawn by participants representing the perceived daylight conditions as part of the daylight boundary line method varied extensively from person to person regardless of actual daylight measurements. In other respects, a systematic review was conducted to create a conceptual framework of cultural background in the lit environment, and factors thought to be influencing daylight perception in the cultural context had been defined in four ways. These were ethnicity and/or physiological properties of individual eyes, the residential area, the previous luminance environment and sociocultural background. Finally, the developed methodology based on the previous findings was applied to understand if individuals perceive daylight conditions differently due to their cultural backgrounds. Although some findings proved that culture might be an important factor in daylight perception, the study results did not provide strong evidence of a cultural background influence on daylight perception. However, the number of participants in this study (N=193) was limited, and this unique topic requires additional research with larger sample size

Sensor Networks and Their Applications: Investigating the Role of Sensor Web Enablement

The Engineering Doctorate (EngD) was conducted in conjunction with BT Research on state-of-the-art Wireless Sensor Network (WSN) projects. The first area of work is a literature review of WSN project applications, some of which the author worked on as a BT Researcher based at the world renowned Adastral Park Research Labs in Suffolk (2004-09). WSN applications are examined within the context of Machine-to-Machine (M2M); Information Networking (IN); Internet/Web of Things (IoT/WoT); smart home and smart devices; BT’s 21st Century Network (21CN); Cloud Computing; and future trends. In addition, this thesis provides an insight into the capabilities of similar external WSN project applications. Under BT’s Sensor Virtualization project, the second area of work focuses on building a Generic Architecture for WSNs with reusable infrastructure and ‘infostructure’ by identifying and trialling suitable components, in order to realise actual business benefits for BT. The third area of work focuses on the Open Geospatial Consortium (OGC) standards and their Sensor Web Enablement (SWE) initiative. The SWE framework was investigated to ascertain its potential as a component of the Generic Architecture. BT’s SAPHE project served as a use case. BT Research’s experiences of taking this traditional (vertical) stove-piped application and creating SWE compliant services are described. The author’s findings were originally presented in a series of publications and have been incorporated into this thesis along with supplementary WSN material from BT Research projects. SWE 2.0 specifications are outlined to highlight key improvements, since work began at BT with SWE 1.0. The fourth area of work focuses on Complex Event Processing (CEP) which was evaluated to ascertain its potential for aggregating and correlating the shared project sensor data (‘infostructure’) harvested and for enabling data fusion for WSNs in diverse domains. Finally, the conclusions and suggestions for further work are provided