Demand For Space Research Articles

Analog Frontend for Big Data Compression and Instantaneous Failure Prediction in Power Management Systems

An innovative analog frontend for big data collection and intelligent compression as part of an instantaneous failure prediction platform is presented. Failure prediction in power management systems is crucial for increasing uptime and preventing massive failure. Accurate failure prediction, with real-time decision-making, requires data collection from many wide-bandwidth signals within a system, as low-bandwidth information such as DC output voltage is of limited value for decision-making and failure prediction. Analog compression, data profiling, and anomaly detection methods enabled by the unique analog frontend are presented. The system significantly reduces the demand for high computational power, fast communication, and large storage space required for the task. A real-time compression ratio exceeding 100:1 was achieved by the experimental analog frontend, digitizing the analog signal at a rate of 135 MS/s with a 10-bit resolution. The motivation, existing solutions, performance metrics, and advantages of the analog frontend are demonstrated, along with the details of the circuit operation principle. The process of data collection, its intelligent processing using the analog frontend, and anomaly detection are simulated to validate the theoretical hypotheses. For experimental validation, a laboratory setup that includes a dedicated analog frontend prototype and step-down DC-DC converter was built and evaluated to demonstrate the robust performance in sampling and monitoring wide-bandwidth signals and smart data processing using analog frontend for quick decision-making.

European tourism demand in the face of climate change: asymmetric impacts, demand reallocation, and deseasonalisation strategies

Abstract The European tourism industry, a significant contributor to employment and income, is under threat due to climate change. This study, using data from 1315 European regions and considering a tourism-specific climate index and tourism typologies, examines the potential impact of climate change on tourism demand across the continent under four warming scenarios. We find that climate change impacts in Europe will be highly asymmetrical across regions and seasons, resulting in significant reallocations of tourism demand in space and time across all warming scenarios. A clear north-south pattern in tourism demand changes emerges, with northern regions benefiting and southern regions experiencing significant reductions, particularly under higher warming. Summer demand and coastal areas, where tourism demand is more concentrated, will be particularly affected. We also quantify the deseasonalising efforts necessary to maintain the status quo in the annual demand for tourism, involving relative reductions in summer demand and increases in shoulder and winter seasons.

Static and Dynamic Assessments of Park Accessibility and Equity across Different Living Circles in Shenzhen's Core Area

Abstract With the rapid expansion of cities, the demand for park green spaces within urban living circles is increasing. Enhancing park accessibility and distributional equity has become an important avenue for improving urban residents’ quality of life. However, existing studies mainly rely on static population data, neglecting the impact of residents' dynamic location changes on park accessibility, and lack a systematic analysis across different living circles. To fill this research gap, this paper takes the urban core area of Shenzhen as a case study. By combining static and dynamic population data and employing the improved dynamic two-step floating catchment area (D2SFCA) and the traditional two-step floating catchment area (2SFCA) methods, we systematically evaluate the walkability and equity of parks within different living circles (5-, 15-, and 30-min). The results show significant differences between static and dynamic population distributions, with overall park accessibility being lower for the dynamic population than for the static population. Within the 5-min living circle, the Gini coefficient for the static population is 0.952 but reaches as high as 0.971 for the dynamic population, indicating extreme inequity in park distribution within short walking distances. In the 15- and 30-min living circles, the Gini coefficients for the static population are 0.813 and 0.731, respectively, while those for the dynamic population are 0.882 and 0.785, indicating that the degree of inequitable park resource distribution decreases with increased walking time. Overall, the study reveals that park accessibility for the static population is significantly higher than that for the dynamic population across different living circles, especially within short-time living circles where the difference is most pronounced.

Exploring the nexus of migration dynamics and urban expansion: key drivers of horizontal spatial growth in Woldia Township, Ethiopia

Ethiopia remains one of the least urbanized countries globally, although many of its urban centers, including Woldia, the capital of the North Wollo Zone, are undergoing rapid growth. Woldia has recently faced significant urban challenges due to its expanding horizontal growth. One of the major issues associated with this growth is the increasing demand for land and space, driven by population pressure, largely attributed to migration. This migration has led to the annexation of agricultural land at the rural periphery, further contributing to the town’s horizontal expansion. This study aims to explore the key drivers behind the horizontal growth of Woldia, particularly in its peripheral areas. Data were collected through a structured questionnaire administered to a randomly selected sample of 395 respondents, complemented by key informant interviews and secondary data sources. Both qualitative and quantitative analytical methods were employed. The findings indicate that poor social services and poverty in migrants’ areas of origin are the primary push factors. Conversely, improved social infrastructure and job opportunities at the destination are the main pull factors. Consequently, the influx of migrants has resulted in significant pressure on peri-urban areas, where housing availability and accessibility remain limited. The study recommends that local government officials and urban planners enhance their understanding of migration dynamics to effectively manage the town’s spatial expansion and address the challenges of accommodating a growing population.

P0769 Impact of Nurse-Led Day Case Management of Acute Inflammatory Bowel Disease Flares on Admissions to Hospital

Abstract Background To assess the impact on admissions to hospital when patients are treated on a nurse led day case unit for inflammatory bowel disease flares over a 1-year period. Methods During the COVID 19 pandemic, patients were reluctant to be admitted to hospital and where possible wanted care as day case patients. This has continued due to the pressures of the acute gastroenterology hospital ward and demand for bed spaces. The Gastroenterology and Medical Ambulatory Care Unit allowed for rapid assessment, diagnosis, and treatment with appropriate safety netting for this group of patients. 63 patients where identified. Those who needed admission were advised to do so based on presenting symptoms and response to treatment. Data Collection and Results 63 patients presented to the Unit with a pre-existing diagnosis of IBD, 88% (n=55) where Ulcerative Colitis and 12% (n=8) Crohns Disease and had failed to suppress the flare with oral steroid and topical therapies. Symptoms varied from loose stools, urgency, bleeding, pain, lethargic and dehydration, common signs of an IBD flare, (Sturm and White 2019). Patients were offered admission, however all wanted to be treated as a day case on the proviso that if needed admission would be arranged. The aim was to give the same initial flare treatment as would be received on the ward. Hydrocortisone 200mg IV am followed by 500mls of IV fluids and a further Hydrocortisone 200mg IV in the pm. Patients were also supported by the team on the Unit during their flare allowing perspective to be placed on their disease and management as a whole. Open dialogue was held with the Unit and IBD nursing teams further enhancing patient care. Bloods and faecal calprotectin were checked as a baseline for our interventions. Results Of the 63 only 9.5% (n=6) did not respond and needed admission. Conclusion: Outcome and Recommendations Overall patients were happy with and responded to treatment in the day case unit. This saved at least 171 bed days in hospital based on a minimum of 3 days per patient treated. Being able to access support as well as treatment worked well. Day case assessment treatment and care has a clear future for this group of patients providing patients are selected appropriately. References Sturm A and White L (2019) Inflammatory Bowel Disease Nursing Manual. Springer

Evaluating Spherical Trees in the Urban Environment in Budapest (Hungary).

The world's big cities, including Budapest, are becoming more crowded, with more and more people living in smaller and smaller spaces. There is an increasing demand for more green space and trees, with less vertical and less horizontal space. In addition, deteriorating environmental conditions are making it even more difficult for trees to grow and survive. Tree species in urban areas have multiple functions and high ecosystem services when in good health. Among taxa with diverse habits, sizes, crown shapes, growth vigor, longevity, urban tolerance, and canopy habit, our research aims to evaluate urban specimens of spherical species with smaller space requirements and sizes but have regular geometric crown shapes in public plantations in Budapest. In the restricted urban habitats, the city's cadastral records include 4676 specimens with spherical crowns. Among the species examined, eight species with globular crowns (Acer platanoides 'Globosum', Catalpa bignonioides 'Nana', Celtis occidentalis 'Globosa', Fraxinus excelsior 'Nana', Fraxinus ornus 'Mecsek', Platanus × hispanica 'Alphen's Globe', Prunus × eminens 'Umbraculifera' and Robinia pseudoacacia 'Umbraculifera') were evaluated in relation to age, health, wood type, crown size, and shade projection in order to show which species are or will be suitable in the future.

Income Property in Moscow at the turn of the 19th and 20th centuries as an economic phenomenon

The turn of the 19th to the 20th century marked a period of industrialization and urbanization that significantly impacted social and economic dynamics. Moscow, like other metropolises of the time, experienced rapid urban population growth, creating a demand for both housing and commercial spaces. In this context, studying the emergence and development of income properties is highly relevant as it sheds light on how urban spaces, society, and human relationships to housing transformed under the influence of economic and social changes during this period. This research examines and analyzes the role and place of income properties within the urban housing system, assessing how accessible life in such buildings was for city dwellers, the economic foundations behind their emergence, and the impact of their construction on Moscow's architectural landscape. The conclusion offers a summarized evaluation of the economic, social, and cultural significance of income properties in Moscow. The scientific novelty of this study lies in the underexplored history of Moscow's income properties from financial-economic and social perspectives. Firstly, analyzing financial-economic aspects allows for a deeper understanding of investment mechanisms in urban real estate and their influence on market formation. Investigating the motives and financial strategies of owners and investors in income properties can illuminate the reasons behind the success or failure of such ventures, as well as their role in the city's economic development. Secondly, exploring social aspects enables an examination of issues related to social mobility, population structure, and social changes occurring within the context of urban development. These topics broaden our understanding of the city's social history. Studying these relationships will introduce previously unpublished materials into circulation, systematizing existing data based on diverse sources of information.

AI-Based Energy Management and Prediction System for Smart Cities

In recent years, there has been an increasing interest in smart city concepts in response to a growing demand for more sustainable and efficient urban spaces. In this paper, an in-depth exploration of load forecasting in an innovative city framework is carried out through the building of a software application with a graphical user interface (GUI) and prediction using long short-term memory (LSTM). To fulfill their role in enabling intelligent cities, accurate load forecasting is needed to enable energy management, reduce peak demand, and allow for well-informed decisions and energy distribution optimization. Specifically, in this work, we consider the application of LSTM to load forecasting systems within the context of a smart city. Since LSTM has a high capability in capturing complicated temporal structures, it is indeed an efficient approach to load forecasting, especially considering long-term dependencies. We focus on the strength of LSTM in comparison with the traditional statistical analysis and other machine learning techniques, most notably, LSTM’s ability to handle nonlinear and dynamic load behavior typical in innovative city energy systems. The GUI is the system's front end where the user enters the data, and at this point, we have the city officials, energy managers, and the community people and get their customized load forecast. The discussion of the outcomes of the experiment with the cross-platform GUI application and the improved LSTM forecasting model is given. Based on the evaluation of the model in terms of accuracy and performance, the research is done in an accepted manner to predict the complex load pattern in a smart city environment by proving the efficiency of the LSTM model. The effectiveness of different decisions in various cases is evaluated to consider the influence on decision-making processes and energy optimization; various cases demonstrate how the proposed GUI application is helpful in facilitating better management of energy. This research will, therefore, endeavor to create knowledge in the area of energy management to foster the development of effective intelligent cities.

A study on the determinants of leisure demand in a marina space

A study on the determinants of leisure demand in a marina space

A Communication Application Design Framework based on Mesh Network Architecture for Folk Song Dissemination

The swift advancement of the country's maritime industry has led to an escalating demand for marine space and resources, causing significant harm to the marine biological ecosystem. This study examines the legal framework for marine biological preservation, focusing on the context of wireless network (WN) data fusion to safeguard marine ecosystems and enhance the long-term sustainability of marine ecosystems. By examining the current conditions of various prominent marine locations and environmental settings in China, establishing a WN exchange device, incorporating WN information into marine sustainable assessments, gathering information via WN nodes, and contrasting WN data combined with conventional techniques, the effectiveness of marine conservation efforts and the detection of marine pollution techniques across different timeframes can be aligned with rapid economic growth to foster an ecologically sound aquatic ecology. The findings from the research indicated that surveillance efficiency via WN data fusion exceeds traditional methods by over 25%, and identification efficiency after three months remains more than 20% superior to the conventional approach. Data fusing in WNs significantly establishes a legal framework for marine biological and environmental safeguards.

Intertwining Community-Driven and Student-Built Approaches to Activate Suburban Streets

Suburban streets often lack vitality and fail to foster social interaction and community cohesion. Traditional approaches to retrofitting tend to focus on static spatial interventions, proving costly and inadequate for addressing dynamic community needs. This paper explores flexible, cost-effective solutions that can activate suburban streets and enhance cultural cohesion. Through a brief review of street retrofitting concepts and practices, the authors investigate ways in which an inclusive approach can promote community engagement and transform streets into dynamic social spaces. This approach consists of a community-driven and student-built collaborative design, prefabrication and installation, and adaptive use by the community. Examining Tāmaki Makaurau Auckland in Aotearoa New Zealand as a context rich in cultural diversity and with a demand for vibrant public spaces, the authors tested this new approach through design interventions by Unitec architecture students in Open Streets events in Avondale, Tāmaki Makaurau Auckland. The authors then tested this approach with two projects: Toutai-'a Maui: Maui’s Catch at the Whau Arts Festival, and the Woven Gateway at the We Are Woven Festival. The positive outcomes of these two projects demonstrate the potential of temporary architectural interventions in activating streets and fostering conversation about the streets of Avondale.

Impact of climatic elements on the political and social development of Ilam city: a logistics perspective

Climate factors in different climate change scenarios can influence social and political development in an area. This study explores the role of climatic factors in shaping the political and social landscape of Ilam, a city experiencing rapid urbanization due to population growth, increased demand for housing and commercial space, and the need for urban services. Through a descriptive-analytical approach and field data collection, the research surveyed 58 urban managers, researchers, and specialists in Ilam, using the SWOT technique to analyze the city's climatic strengths, weaknesses, opportunities, and threats in the context of political and social development. The results indicate that climate parameters play a significant role in Ilam's development, with the city's ability to align urban land development with soil temperature as a key strength. However, challenges exist in the technical sector, while opportunities lie in human resources and the integration of clean technologies. Environmental concerns, such as the degradation of agricultural land due to urban expansion, pose a threat to Ilam's development. The study confirms the impact of temperature and precipitation on Ilam's political and social development, emphasizing the interconnectedness between climate factors and the city's political and social dynamics. This research provides valuable insights into the complexities of urban development in Ilam, highlighting the importance of addressing the relationship between climate and political and social factors in this context.

WHO’S CAPTURING THE GREEN VALUE IN KUALA LUMPUR’S OFFICE RENTAL SPACES?

This study aims to understanding the dynamics within the green office rental market in Kuala Lumpur by identifying the industries that capture the most value from green office spaces and analyzing tenant preferences in this evolving landscape. The primary objective is to uncover the current nature of businesses occupying green office spaces and their preferences regarding location, building features, certification levels, and green attributes. By employing a quantitative methodology, the research commenced with an extensive literature review to situate the study within the broader context of existing academic work. Primary data was meticulously collected from GreenBuildingIndex Sdn. Bhd. (GBI) and the Valuation and Property Services Department (JPPH), incorporating sample data from 50 green office buildings documented by GBI and 2,707 rental office spaces recorded by JPPH. The analysis utilized the Statistical Package for the Social Sciences (SPSS) to integrate and examine the data collected from these distinct sources. Furthermore, the nature of businesses occupying these green spaces was ascertained through comprehensive verification using company websites and professional platforms. The findings reveal a notable preference among tenants from sectors prioritizing sustainability, innovation, and strategic positioning, such as Energy and Technology, Financial Services, ICT, and Management Services. These sectors demonstrate an acute awareness and commitment to environmental sustainability, opting for green office spaces that align with their corporate ethos of innovation and responsibility. Moreover, the study delineates tenant preferences in selecting green office spaces, highlighting a clear inclination towards buildings that not only offer prestigious locations and advanced green features but also possess recognized green certifications, indicating a mature and discerning tenant base within the market. In conclusion, the research provides insightful revelations about the commercial dynamics of Kuala Lumpur’s green office rental market, showcasing a significant shift towards sustainability across diverse sectors. The preferences regarding location, certification, and building attributes reflect a complex interplay of economic, environmental, and social factors, driving the demand for green office spaces in Kuala Lumpur. This study contributes to the understanding of how businesses are aligning with sustainability trends, offering a valuable perspective on the green value captured in the office rental market of Kuala Lumpur.

Urban Leisure and the Rise of Commercial Entertainment in 19th-Century Vilnius: The Role of Ivan Shuman in a Modernizing City

The article explores the evolution of the entertainment scene in Vilnius during the second half of the 19th century, focusing on its marginal position outside national canons and mainstream theatre. Through the work of Ivan Antonovich Shuman, the city’s first entertainment entrepreneur, the study situates Vilnius’ post-serfdom and post-uprising entertainment culture within a broader regional context. It highlights how this emerging culture intersected with the modernization challenges of the time, particularly the demand for public urban spaces. This development reflected the rise of a new urban culture and its consumers, who crossed traditional socio-economic boundaries.

Space Exploration of Metal-Organic Frameworks in the Mesopore Regime.

ConspectusThe past decades have witnessed the proliferation of porous materials offering high surface areas and the revolution in gas storage and separation, where metal-organic frameworks (MOFs) stand out as an important family. Alongside the pursuit of higher surface area, the increase in the size of guests, such as nanoparticles and biomolecules, has also led to the demand for larger space defined by the pores and cages within the MOF structure, from the conventional micropore regime (<2 nm) toward the mesopore regime (2-50 nm). Among the essential elements in the design of MOFs, molecular building blocks, their coordination and spatial arrangement, the chemistry for molecular design, and coordination bonds have become relatively mature, offering precise control of the shape and environment of the molecularly defined 3D cages; however, the correlation between the geometrical parameters and the size of polyhedrons describing the cages, concerning the spatial arrangement of building blocks, is much less explored.In this Account, we made efforts to associate actual cage size with the critical geometrical components, vertices, edges, connectivity, rings, and underlying polyhedrons, as well as the combination of components of various types in the design of MOFs. Several trends were found, such as influence from connectivity and expansion efficiency, offering insights into the construction of 3D cages in MOFs. This enables the creation of extremely large mesoporous cages in MOFs with an internal diameter up to 11.4 nm from relatively small building blocks. Furthermore, we discuss a strategy of partial removal or replacement of organic linkers to construct mesoporous cages from readily known topologies.All of the above efforts urged us to ask the following questions: Is there any limit in the sculpting of the 3D space from molecules? How large an area can one chemical bond support? The answer to these questions will deepen the knowledge of efficient utilization of chemical bonds in the sculpting of 3D spaces and guide the design of larger mesopores. Several general geometrical principals emerged: (1) Expansion efficiency and radius are positively correlated with the number of vertices. (2) Increase in the number of vertices and decrease of their connectivity favor the construction and expansion of large cages. (3) The boundary of the 3D space constructed by the chemical bonds is related to the polyhedron type and determined by the energy involved in crystallinity. Such principals are likely to be applicable also in the design of isolated cages in supramolecular chemistry. In addition to the structural design and synthesis, the applications of these mesoporous cages in MOFs are also summarized.

Adaptive blind control strategy based on iterative optimization to minimize cooling and lighting demands in office space

Adaptive blind control strategy based on iterative optimization to minimize cooling and lighting demands in office space

KUALITAS RUANG TERBUKA HIJAU (RTH) PRIVAT PADA RUMAH TINGGAL DI DESA PEGUYANGAN KANGIN DITINJAU DARI SEGI EKOLOGIS

Population growth results in increasing demand for residential space and built-up land. This will have an impact on the environment, namely reducing the quality of green open spaces in carrying out ecological functions. As happened in Denpasar City, one of which is in the North Denpasar area. The availability of green open space in Denpasar City is dominated by private green open spaces originating from residential areas, namely residential yards. However, as in the Peguyangan Kangin Village Area, even though it is dominated by residential areas where land use is privately owned, the provision of private open space is actually very minimal. It is feared that this dynamic will have a negative impact on the surrounding environment in the future. Therefore, it is important to carry out this research with the aim of analyzing the quality of private green open space in terms of its ecological function and the availability of private green open space in the Peguyangan Kangin Village area. This research uses a qualitative method with a descriptive approach. The object of research will focus on private green open space in residential yards in Peguyangan Kangin Village. The research results show that in general the quality of private green open space in residential yards in the Peguyangan Kangin area is not optimal, both in terms of area and vegetation in carrying out ecological functions. The research results also show that there are several factors that influence the quality of private green open space, one of the most dominant of which is land availability.

Property Valuation: Using Machine Learning for Rent Value Prediction

The rising demand for rental spaces, such as hotel lodging rooms, has led property owners in high-potential areas to begin renting out their properties to meet this need. The Directorate General of State Assets (DJKN) under the Ministry of Finance, which manages state-owned assets, oversees approximately 1,100 room units with potential for rental. In alignment on increasing non-tax state revenue from state-owned assets (BMN), offering lodging room rentals as a form of BMN utilization presents a promising opportunity for expansion. To facilitate efficient rental services for these BMN rooms, a quick and accurate valuation process is essential. However, establishing fair rental prices for both property owners and tenants poses a significant challenge. This study, therefore, aims to develop automated valuation model (AVM). Since rental price predictions depend on various bebas variabels, the study employs several machine learning algorithms, including Ridge, Linear Regression, Random Forest (RF), Lasso, SVR, Elastic Net, and Extreme Gradient Boosting. The research focuses on rental markets in Jakarta, Bogor, and Bandung, using a dataset of fewer than 500 rental room samples sourced from marketplaces. These data points are adjusted for state-owned asset variabels, followed by feature engineering. The performance of the various algorithms is then compared. The results indicate that the best-performing model and the most important features vary by city, but overall, the Random Forest model delivers strong performance, with room size, road width, and room quality emerging as the most influential factors.

Social Infrastructure During the COVID-19 Pandemic: Evaluating the Impact of Outdoor Recreation on Pandemic Dynamics in Europe

The COVID-19 pandemic has drastically affected mental and physical well-being, leading to significant changes in daily habits and preferences. Given that pandemics require the tear down of most social ties and interactions to limit their inevitable spread, this study delved into the extent to which social infrastructures have been affected, focusing on behavioral shifts in essential services such as retail, recreation, groceries, pharmacies, public transport, parks and open spaces, workplaces, and residential areas. Notably, while most social infrastructures saw a decline in public usage, parks and open spaces experienced increased visitation despite public health measures aimed at minimizing social interactions. This striking increase in park and open space visitations has captured the interest of this study to observe the impact it had on the trajectory of the COVID-19 pandemic, as well as the underlying causes behind this trend. Since Europe was heavily affected by the pandemic, this study focused specifically on European countries over a two-year period (March 2020 to March 2022), covering the severe period of the pandemic. While parks and open spaces initially showed no direct influence on the pandemic trajectory, when closely observing visitation trends, both increases and declines, opposing insights were revealed. This study found that attempts to reduce park and open space visitation were significantly unsuccessful, leading to substantial increases in both the magnitude and duration of visits once restrictions were eased. This surge in park and open space attendance corresponded to notable spikes in new infections during periods of peak visitation. Therefore, urban planning and public health authorities must prioritize safely accommodating the increased park and open space demand while effectively minimizing virus transmission. This involves considering park sizes and proximity, along with implementing a balanced set of crucial public health strategies to support community well-being and resilience.

Users’ Satisfaction with the Urban Design of Nature-Based Parks: A Case Study from Saudi Arabia

Rapid urbanization in Saudi Arabia has reshaped land use and increased the demand for public spaces to enhance residents’ well-being, support quality of life, and strengthen cities’ resilience to global warming and climate change. In this study, an evaluation of user satisfaction with the design of nature-based parks in Saudi Arabia was conducted, using Wadi Hanifa Park in Riyadh city as a case study. To this end, direct observation alongside a questionnaire survey of park users was employed. The findings indicate that users are generally satisfied with the design of the park, with a weighted mean overall satisfaction score of 3.38 out of 5 observed. High satisfaction ratings were reported for various features, with visual quality receiving the highest rating. In contrast, lower satisfaction levels were recorded for some aspects, with the lowest rating given to lighting levels at night. The most frequently cited issue needing attention was the limited presence of greenery. This suggests that users tend to report a higher satisfaction in parks that incorporate diverse plant life and create a harmonious blend of natural and built environments. Accordingly, this study recommends the planting of native species, which require less water, enhance visual appeal, and strengthen place identity. Enhancing these aspects could further increase the effectiveness of nature-based parks in enhancing the quality of life in Saudi cities. This study recommends developing a national evaluation framework for public parks in Saudi Arabia to guide designers and policymakers in implementing the best design practices.