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This study examines the activities of a specialized service desk and provides guidance on conducting an analysis of the activities. The authors wanted to know what is essential in terms of expertise, staffing, technology, collections and space at a Maps and Geographic Information Systems (GIS) Service desk. The purpose of the study was to explore whether the provision of these services require a staffed service desk.

The authors collected data using mixed methods, including observing space use, administering a survey and analyzing desk interactions.

Findings suggest that while this service desk may have relatively little traffic, the interactions are time consuming and require a high degree of subject expertise. The data indicated that this service does not need to be delivered in this specific location; however, retaining the expertise and access to collections is vital. The authors recommend that formal assessment of services and space should be conducted prior to making significant changes in a service model.

This study investigates a specialized service desk which are not well-represented in the literature. Additionally, the variety of approaches used in this study could serve as a model for others for service desk assessment in general.

The purpose of this paper is to advocate for change in academic library space assessment and use philosophy in favor of a more user-centered approach emphasizing space designed for and by users themselves. This goal is achieved by analyzing the implementation of a recent space assessment project at the University of Northern Colorado Libraries to investigate specific patterns of library space utilization.

This paper presents a case study for which data were collected through a multi-method approach, including flip chart and whiteboard questions, brief semi-structured “tabling” interviews, and more in-depth “roving” interviews.

The current library literature on space assessment does not encompass broader, more holistic approaches to how library space is used by students, faculty, staff and community users. The findings from this study highlight the diversity of ways patrons may use an academic library, many of which are related to academic work. However, visitors also come to the library for other purposes, such as socializing or attending an event. It is imperative that the space be adequately equipped to meet varied visitor needs and to create a welcoming environment for all patrons.

The paper has several implications for planning and managing the operations of medium-sized academic libraries. It contributes to the larger conversation in higher education about the importance of user research for enhancing visitor experience through data-informed decision-making. Furthermore, the project it details is not an isolated assessment effort but part of the library’s ongoing space assessment work.

Workplace space utilization data reveals patterns of space usage, the occupants’ presence and mobility within the office building. Nowadays, emerging technology such as smart sensors and devices can revolutionize the measurement of space utilization data, which is originally dominated by human observers with paper and pencil. However, these novel instruments are often used in an old fashion, which restricts the exploitation of their full potential. This study aims to shed new light on the benefits and limits of using smart technology in measuring space utilization data and discusses the challenges and opportunities in analyzing the data measured by smart sensors.

First, the literature regarding common methods and previous studies about office space utilization measurement was reviewed. Then, a data set consisting of space utilization data collected through Passive Infra-Red sensors for 35 meeting rooms in a bank building was carefully evaluated. Finally, the space utilization results based on methods calculated in two different granularities were compared.

The number of occupied hours calculated at an hour level was 1.32-hour larger than that calculated at a minute level. As both results show the concept of space utilization, which was the amount of time that the space was occupied, this paper revealed a gap between the two space utilization calculation methods and further discussed the issues and challenges for future space utilization data analysis and benchmarking.

To the best of the authors’ knowledge, this is the first study critically addressing office space utilization issues by comparing calculation methods in different granularity.

Despite the many advantages this type of equipment offers, there are still some major drawbacks. Linear cutting machine (LCM) cannot accurately simulate the true rock-cutting process as 1. it does not account for the circular path along which tunnel boring machine (TBM) disk cutters cut the tunnel face, 2. it does not accurately model the position of a disk cutter on the cutterhead, 3. it cannot perfectly replicate the rotational speed of a TBM. To enhance the knowledge of these issues and in order to mimic the real rock-cutting process, a new lab testing equipment was developed by Hyundai Engineering and Construction.

A new testing machine called rotary cutting machine (RCM) is designed to simulate the excavation process of hard-rock TBMs and includes features such as TBM cutterhead, RPM simulation, constant normal force mode and constant penetration rate mode. Two sets of tests were conducted on Hwandeung granite using different disk cutter sizes to analyze the cutting forces in various excavation modes. The results are analyzed using statistical analysis and dimensional analysis. A new model is generated using dimensional analysis, and its results are compared against the results of actual cases.

The effectiveness of the new RCM test was demonstrated in its ability to apply various modes of excavation. Initial analysis of chip size revealed that the thickness of the chips is largely dependent on the cutter spacing. Tests with varying RPM showed that an increase in RPM results in an increase in the normal force and rolling force. The cutting coefficient (CC) demonstrated a linear correlation with penetration. The optimal specific energy is achieved at an S/p ratio of around 15. However, a slightly lower S/p ratio can also be used in the design if the cutter specifications permit. A dimensional analysis was utilized to develop a new RCM model based on the results from approximately 1200 tests. The model's applicability was demonstrated through a comparison of TBM penetration data from 26 tunnel projects globally. Results indicated that the predicted penetration rates by the RCM test model were in good agreement with actual rates for the majority of cases. However, further investigation is necessary for softer rock types, which will be conducted in the future using concrete blocks.

The originality of the research lies in the development of Hyundai Engineering and Construction’s advanced full-scale laboratory rotary cutting machine (RCM), which accurately replicates the excavation process of hard-rock tunnel boring machines (TBMs). The study provides valuable insights into cutting forces, chip size, specific energy, RPM and excavation modes, enhancing understanding and decision-making in hard-rock excavation processes. The research also presents a new RCM model validated against TBM penetration data, demonstrating its practical applicability and predictive accuracy.

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.

This paper aims to present an assessment of user satisfaction of an innovative workplace design, otherwise known as flexible workplaces.

The study first sought to establish the level of flexibility of the workplace through the identification of flexibility criteria presented in a checklist format. In total, 29 criteria were identified and subsequently assigned weights by ten professionals. These professionals further assessed a case study office building through a walkthrough exercise to determine its level of flexibility. Furthermore, a post occupancy evaluation (POE) was conducted to assess the level of users’ satisfaction with functional performance elements. Questionnaire surveys were administered to 142 users, with a 63 per cent response rate. The feedback was analyzed and presented using the mean satisfaction index approach.

The results showed that the total flexibility achieved by the facility is 67.63 per cent, which is considered to be “averagely flexible”. The POE results also showed that users were strongly dissatisfied (SD) with the “adequate number of enclosed offices,” which is one of the corner-stones of flexibility where open-plan offices are strongly encouraged. Users expressed dissatisfaction with other issues, while their overall satisfaction with the facility was noted.

This study is based on the premise that innovative workplace facilities will only fulfill its intended objectives if designers consider the satisfaction of its users. The study makes a specific contribution in the assessment of workplace flexibility and occupants’ satisfaction of flexible workplaces. This will be of significant value to facility managers, designers and space planners involved in the design and management of workplace facilities.