Buildings In Areas Research Articles

Product Design of Vegetable Floss Made from Kluwih (Artocarpus camansi) Fruit

Abstract Increasing awareness of health risks encourages the development of plant-based products to replace the animal products. One of the popular snack foods is floss made from beef or chicken meat. Vegetable floss is a potential product to develop for vegetarian or kids. This study aims to provide a product design of vegetable floss made from kluwih fruit starts from formulation, characterization, scale up in small scale industry, include factory layout, calculation of cost of goods sold as well as business development model that was suitable for vegetable floss market. Notably, this study aims to make vegetable floss without using garlic or shallots in the seasoning, distinguishing it from the previous research of vegetable floss. Human-Centered Design used to match the product with the consumer’s expectations. The vegetable floss formulation and production process were successfully defined after several iteration. The best results had the characteristics of brown color, fibrous, light, and acceptable tastes. The floss had water, ash, protein, fat and carbohydrate contents of 6.05%; 2.29%; 2.07%; 27.80% and 61.79%, respectively, and organoleptic quality of its color and flavor were in the like category. Small scale production was planned with the capacity of 300 kg kluwih fruits per month using a series of machine for peeling, shredding, seasoning preparation, boiling, mixing, frying, oil draining, and packaging. Factory required a building area of 92.31 m2. The cost of goods sold was set at IDR 32,178.8 for 150 g aluminum foil pouch and IDR 12,534.6 for 50 g plastic jar packaging. Business Model Canvas showed the overall business activity of vegetable floss products. Based on the SWOT analysis and matrix, there were 12 alternative strategies that have an effect on improving the element of key partners, key activities, value propositions, customer relationship, customer segments, channels, and revenue streams.

Wayfinding Analysis for Evacuation Optimization with Urban Network Analysis in Disaster Preparedness School KB TK Masjid Syuhada

The existence of evacuation routes is one of the most important elements in disaster management because it will determine the smoothness of the rescue process during a disaster. An evacuation route is a route to an assembly point or exit that is assumed to be a safe space. Wayfinding is the process of moving from one point to another within the closest or fastest distance. In relation to the evacuation process, wayfinding will show the movement from a point, which in relation to buildings can be a specific space, to an exit or assembly point. As one of the disaster preparedness schools in Yogyakarta's Special Region, Masjid Syuhada Kindergarten was chosen as the site of the research. It is a complex of schools ranging from playgroup, kindergarten, elementary school, to junior high school, all of which are connected by the Syuhada Mosque. The analysis of evacuation routes in the kindergarten was conducted using Urban Network Analysis (UNA). UNA is used as a method to determine the effectiveness of providing evacuation routes in a building area because it can analyze trips between points, called origin and destination. Of the various analyses that UNA can perform, this research uses the closest facility analysis. In this study, the origins were all the class in the kindergarten which placed at the door as the open access and in the middle of the class if the class have two doors; while the destinations were the stairs which heading to assembly point. The conclusion is reached after analyzing the network that connects the origin of the class to the destination of the stairs, which is connected to the assembly point.

PROPOSALS FOR THE LOCATION OF SOCIAL PROTECTION INSTITUTIONS FOR THE ELDERLY IN THE URBAN ENVIRONMENT

The article discusses the design of social protection institutions in China, their main urban planning directions, which must be based on the current state regulations of the PRC, as well as the DBN (State Building Norms) of Ukraine mentioned in the article. The urban placement of social protection institutions is subordinate to the strategy for the development of the spatial system of settlements. This system of state-guaranteed economic, social, and legal measures provides elderly people with opportunities to overcome the limitations of life activities by creating specialized institutions where inclusive spaces are formed. Defined approaches to the urban placement of these institutions within the city structure include locations in green zones of central city parts, suburbs, and recreational areas of towns and rural settlements. The placement, capacity, and sizes of land plots for social protection institutions must be determined based on the design task, taking into account the requirements of such Ukrainian regulatory acts as: DBN B 2.2-12:2018; DBN B. 2.2-5:2011; DBN V.1.1-7:2016; DBN B 2.3-18:2007; DBN V. 2.2-9: 2018; DBN V. 2.2-16: 2007; DBN V. 2.2-40:2018; DBN V. 2.2 - 10: 2022; DBN V.2.2 -13: 2003; DBN V. 2.2 -16-2018; DBN V. 2.2 - 25: 2009; DBN V.2.2- 11:2002. The location of social protection institutions depends on the chosen development plot because these facilities require adjacent areas to have natural greening, which will facilitate the conduct of rehabilitation and rehabilitation processes within these institutions. The area of green plantings, which will include lawns, flower beds, fruit gardens, and vegetable gardens, must constitute no less than 50% of the plot area of the social protection institution building.

Assessment of the Potential for Increasing the Energy Efficiency in the Cooling Sector

Cooling supply to ensure the indoor microclimate is becoming more important as global average air temperatures rise. With growing societal demands for higher thermal comfort and increasing individual cooling solutions in the building sector, global energy consumption for cooling is increasing accordingly. Scientific literature and studies estimate that the demand for cooling energy will have a significant impact on global energy demand in the future. In compliance with the European Union goal of achieving climate neutrality by 2050, it is essential to find solutions for reducing energy consumption in the building sector, which is already among the largest energy consumers and greenhouse gas emission producers. Replacing individual cooling solutions with district cooling in urban areas where higher energy density can be reached is one of the solutions for decarbonizing the building sector. To spatially assess the feasibility of district cooling in certain areas, energy demand mapping can be performed. Within this research mapping is carried out using a geographical information system (GIS) tool. The purpose of the mapping is to identify the places in the city of Riga with the highest district cooling potential. Spatial assessment using a GIS tool can be done in different ways – mostly it depends on the available data. The spatial data (buildings) of the cadastral information system and additional detailed information about buildings were obtained from the Latvian open data portal. Information on the type of use of the building, indoor area and the age of building was attached to each building on the map. Then building energy certificate data containing information on specific energy consumption for cooling (kWh/m2 per year) was obtained from the same portal. By processing the data of energy certificates of buildings, excluding outliers, a specific index was obtained for different types of buildings. For the residential sector, the age of the building is also used. Using cadastral data on the indoor area of buildings and the type of building use, the theoretical cooling demand in Riga is calculated and results are quantified and displayed visually. By visualizing the results with the GIS tool, hot spots with the highest cooling energy demand were detected. Results can be further used to calculate the technical and economic justification for the district cooling solutions in specific areas as well as assess the energy efficiency that would be provided by implementation of district cooling solutions.

Impact and implementation of UNESCO’s Recommendation on Open Educational Resources in academic libraries: SPARC Europe Case Study

This paper analyses the role of libraries in the development of Open Educational Resources (OER) and, more specifically, the impact and level of implementation of UNESCO’s (2019) OER Recommendation in Higher Education libraries. This study, the result of a joint undertaking between a national R&D project and SPARC Europe, is based on an online survey, disseminated amongst the European Network of Open Education Librarians (ENOEL) and uses a descriptive research methodology. The results highlight the implementation actions being taken by university libraries (n = 136) in each of the five areas of action of UNESCO’s Recommendation. We find that the main contributions are being made in the areas of capacity building and Open Education policies, but that considerable work has yet to be done in terms of promoting inclusiveness and the sustainability of OER. Thus, the full implementation of UNESCO’s recommendation requires a greater commitment on the part of librarians to joint actions undertaken via international networks and projects, as well as greater institutional commitment and the building of interdepartmental alliances.

Building Damage Degree Recognition Based on Temporal Attention Features

Natural disasters pose significant harm to society. As an important place for social activities and economic development, the degree of damage to building areas is directly related to disaster loss assessment and emergency rescue. Remote sensing image data, characterized by its wide coverage and multi-temporal features, provides important data support for post-disaster loss assessment. However, imaging differences caused by factors such as shooting time, imaging angle, and different sensors can interfere with the extraction of damage features and loss assessment. This paper proposes a Dual-Exchange-Attention U-Net (DERU-Net) model, which transforms the identification of building damage levels into intra-class semantic change detection. The DFMA feature attention fusion module is introduced to enhance the ability of dual-temporal feature extraction and achieve end-to-end assessment of building damage. The proposed method is comprehensively evaluated and tested on the xBD dataset. Experimental results show that compared with other methods, the DERU-Net proposed in this paper exhibits better stability and evaluation accuracy in assessing the degree of building damage.

Atmospheric deposition of microplastics at a western China metropolis: Relationship with underlying surface types and human exposure

The issue of atmospheric microplastic (AMP) contamination is gaining increasing attention, yet the influencing factors and human exposure are not well-understood. In this study, atmospheric depositions were collected in the megacity of Chengdu, China, to investigate the pollution status and spatial disparities in AMP distribution. The relationship between AMP abundance and underlying surface types was then analyzed with the aid of back trajectory simulation. Additionally, a probabilistic estimation of human exposure to AMP deposition during outdoor picnics was provided, followed by the calculation of AMP loading into rivers. Results revealed that the mean deposition flux ranged within 207.1–364.0 N/m2/d (14.17–33.75 μg/m2/d), with significantly larger AMP abundance and sizes in urban compared to rural areas. Areas of compact buildings played an important role in contributing to both fibrous and non-fibrous AMP contamination from urban to rural areas, providing new insight into potential sources of pollution. This suggests that appropriate plastic waste disposal in compact building areas should be prioritized for controlling AMP pollution. Besides, the median ingestion of deposited AMPs during a single picnic was 34.9 N/capita/hour (3.03 × 10−3 μg/capita/hour) for urban areas and 17.8 N/capita/hour (7.74 × 10−4 μg/capita/hour) for suburbs. Furthermore, the worst-case scenario of AMPs loading into rivers was investigated, which could reach 170.7 kg in summertime Chengdu. This work could contribute to a better understanding of the status of AMP pollution and its sources, as well as the potential human exposure risk.

Impact of Real-Time Blind Slat Angle Control on Reducing Total Energy Consumption of a Library Building Using an Optimized Artificial Neural Network Model: A Case Study of the Six Moroccan Thermal Zones

Abstract The prevalence of extensive glazed areas in contemporary buildings contributes significantly to solar radiation infiltration, elevating energy demands and causing discomfort for occupants. Window shading devices play a pivotal role in addressing this challenge. This paper presents the development and optimization of an artificial neural network (ANN) predictive model, designed to enable real-time control of slat angles by predicting total energy loads, specifically during summer (for cooling and lighting purposes). The refined model demonstrates high precision, achieving a normalized root mean square error (nRMSE) of approximately 1.72% and a correlation coefficient (R) of around 0.999, despite utilizing limited meteorological data. Key inputs for the model include solar radiation, solar altitude, and external temperature, with a particular focus on slat reflectivity. The study assesses the efficiency of three slat types based on their reflectivity: high (80%), medium (50%), and low (20%). Additionally, the research explores the impact of window-to-wall ratio (WWR) values on the control system's efficacy, revealing a positive correlation between higher WWR values and improved energy savings through ANN slat angle control. Furthermore, the study extends the applicability of the ANN model to the six thermal zones in Morocco, affirming its generalization across diverse environmental conditions.

Extracting building outlines based on convolutional neural networks using the property of linear connectivity

Abstract. For years, researchers have been developing an automated method that can replace humans by drawing the outlines of individual buildings in a vector format, which plays an important role in GIS creation, environmental monitoring, urban planning, population density estimation, and energy supply. There is no doubt that this is an extremely difficult task, not only because of the labor required to develop such a highly intelligent algorithm, but also because of the challenges posed by imperfect imaging conditions, different building structures, and the complexity of the background. One of the current challenges in extracting building outlines is to accurately recreate the polygonal boundaries of the building while extracting vectorized building masks as output for direct use in various applications. This work provides a comprehensive workflow for building extraction and improves the predicted area of buildings through boundary regularization. First, a convolutional neural network is used to train instance segmentation model, then regularization and vectorization processes are performed. The main difference from existing methods is a new regularization method based on the concepts of linear connectivity and convexity of a set of points. This approach can effectively identify and remove points that do not belong to the detected building but were incorrectly segmented by the algorithm. Based on the results of experiments, the algorithm showed a high level of efficiency, comparable to leading methods for extracting building boundaries as PolyWorld.

Technical efficiency and its convergence among village clinics in rural China: evidence from Shanxi Province.

Village clinics (VCs) are the foundation of the three-tiered health service system in China, delivering basic and routine outpatient services to citizens in rural China. VC technical efficiency and its convergence play a critical role in policy decisions regarding the distribution of health service resources in rural China. This study measured VC technical efficiency (using the slacks-based measure model), its convergence (using the convergence model), and the factors that influence the convergence in Shanxi Province, China. Data were obtained from the Shanxi Rural Health Institute 2014-2018 Health Statistics Report, which involved 3,543 VCs. The results showed that VC technical efficiency was low and differed by region. There was no α convergence in VC technical efficiency, but evidence of β convergence was found in Shanxi. The main factors that influence convergence were the building area of each VC (BA), proportion of government subsidies (PGS), and ratio of total expenditure to total income of each VC (RTETI). The government should increase investments in VCs and improve VC technical efficiency. Meanwhile, the government should be aware of and take measures to curb the inequity in VC technical efficiency among different regions and take suitable measures to curb this disparity.

VISUALISASI METODE PELAKSANAAN PEKERJAAN PELAT RAMP PROYEK PEMBANGUNAN GEDUNG WAREHOUSE DEPOK

The Project of Depok Warehouse Building Construction is located at JL. Raya Jakarta-Bogor, KM. 35, Jatijajar, Depok City, West Java, 16415. The project of Depok Warehouse Building is built on a land area of 38,000 m2, with a building area of 24,000 m2. The Depok Warehouse Building has 8 floors, consisting of 5 floors for the building area and 3 mezzanine floors used for offices. PT. Depok Logistik Properti is the owner of the project, PT. Trimatra Jasa Prakarsa as the construction management, PT. Gistama Intisemesta as the planning consultant, and PT. Total Persada Indonesia as the main contractor. The type of contract used is a lump sum with a contract value of Rp 350,000,000,000. The planned duration of the Warehouse Building Construction project is 670 days. Research made on the field include upper structure works such as column, beam, floor slab, and ramp slab. The stages of the implementation method for the ramp Truck Plate Work start from preparation, marking, reinforcement fabrication, reinforcement installation, concrete decking installation, reinforcement checklist, formwork installation, verticality test, casting, formwork removal, and concrete curing.

Impact of changing urban typologies on residential vegetation and its climate-effects – A case study from Helsinki, Finland

Residential green spaces are an integral part of urban green infrastructure and its role in climate change adaptation and mitigation. Various urban typologies and changing planning practices affect the amount and structure of residential greenery, which has a direct impact on climate benefits. While urban green and its climate benefits have received increasing attention, there is still limited knowledge on how changing planning practices and related urban typologies impact residential vegetation and its capacity to deliver climate benefits. This paper aims to address this gap by determining the impact of planning practices on residential vegetation, focussing specifically on climate mitigation and adaptation. With the case study of Helsinki, characterized by a high share of green areas, the paper first examines how construction year and urban density affect the amount and structure of vegetation on residential properties. Second, it estimates the carbon sequestration and summer temperatures in the present-day climate. The paper applies spatial modelling and regression analysis to estimate the impact of construction year on the studied dependent variables, while controlling density via gross floor area of buildings. The study demonstrates that the average amount of residential vegetation, as measured using canopy and vegetation cover, has declined 15 percentage points from the 1970 s to early 2010 s and the canopy to low vegetation ratio has decreased constantly over the periods studied. The decline of the canopy cover in particular has reduced the climate benefits of residential vegetation. The paper highlights the significant impact of gross floor area and planning practices on urban vegetation cover and the climate benefits it provides. It also stresses the importance of ensuring sufficient tree cover and permeable surfaces in cities with progressive climate mitigation agenda throughout the chain of urban planning, construction, and subsequent property management stages.

Extracting powder bed features via electron optical images during electron beam powder bed fusion

Electron beam powder bed fusion offers the unique opportunity to observe the process by measuring scattered electrons on a metal detector. This technique is the state of the art in generating electron optical images of the build area after melting using single- or multi-detector setups. The images enable the detection of surface defects like porosity or material transport by reconstructing the surface topography. Internal defects such as layer-bonding defects cannot be identified. Many of these defects, particularly layer-bonding defects, often originate from an irregular distribution of the powder bed.This work introduces an additional process step by recording an electron optical image after the distribution of the powder bed. Combining this with an electron optical image after melting the previous layer enables extraction of powder bed features such as the current powder bed height. The underlying method bases on the correlation of experimental measurements and numerical simulations of the intensity of the electron optical signal for different powder bed heights. With this approach, it is possible to identify irregular powder distributions, such as uncovered areas of previously molten material or locally varying powder bed heights. This information is crucial for online monitoring and real time process control. Exemplary, this opens the opportunity of healing the powder bed by an additional raking step.

Study on curve optimization and structural safety effect of south roof of solar greenhouse in China.

To maximize the use of solar energy and increase the building area of solar greenhouses in China, a light radiation model for solar greenhouses is established. This model integrates previous research results with the solar motion principle, meteorological data and the optical properties of materials. The results indicate that optimizing the structural curve of the south roof of the greenhouse improves both internal land utilization and solar capture. After optimization, the internal land utilization rate of the solar greenhouse increased by 42 m2, with a respective 15.2 and 0.78% increase in lighting on the southern roof and ground. The light interception by the back wall of the greenhouse was reduced by 0.67%, while the total light interception increased by 2.22%. The research results identify the optimal shoulder height (0.7 m) and overall height (2 m) for the second-generation solar greenhouse in Liaoshen. The optimal curve functions Y 1 and Y 2 for the south roofs of greenhouses are calculated according to the actual construction requirements. This article verifies the structural safety of the solar greenhouse after renovation and shows that optimizing the shoulder height increases the structural stability and safety of the greenhouse.

Relation between renovation and space density of small-type house in a row house pattern

Small type houses answer the need for residential housing in sub-urban areas. The increasing price of land and the affordability of buyers has encouraged the production of small type residential houses to increase. Small type residential houses have a land area of ≥ 90 m2 and a building area of ≥ 36 m2. However, small type residential houses do not fully answer space needs. Small residential houses tend to undergo renovation to meet space needs. This research uses quantitative descriptive methods. This research aims to formulate a pattern for renovating small residential houses using the case study of the Jasmine Cluster, Sawangan, Depok. This research is necessary considering that during the pandemic, homes are the safest areas for quarantine and as a means of self-isolation for those who are infected. The pandemic event has become a valuable lesson, especially for getting a healthy home. Efforts to fill the space in small type houses in the Jasmine Cluster are carried out by renovating the houses vertically and horizontally. The development was carried out because the existing space does not meet needs. Factors that influence the development of this residence are the number of family members and other rooms that are not provided by developers of small type residences. The density levels before and after renovation show significant changes, and become alternative solutions (quarantine and isolation) as a response to future pandemics.

Application of Big Data in Electrical Engineering

Chinese With the continuous progress of science and technology and the rapid development of information technology, big data has become a hot topic in today's society. The application of big data has penetrated into various fields, among which electronic engineering is one of the important application fields. This thesis focuses on the application of big data in electronic engineering and analyses its specific applications in data acquisition and processing, model building and optimization, fault diagnosis and prediction, and intelligent decision-making and control. The study elaborates on the application of big data in electronic engineering. In terms of data acquisition and processing, the applications of sensor data acquisition and processing and signal processing and analysis are highlighted. In the area of model building and optimisation, the paper explores methods for model building and optimisation of electronic devices based on big data. In the area of fault diagnosis and prediction, the paper proposes a fault diagnosis and prediction method based on big data. Finally, in the area of intelligent decision-making and control, the paper discusses intelligent decision-making and control methods based on big data.

EVALUATION AND VALORIZATION OF PERI-URBAN WASTELAND IN ALGERIA USING DATABASE INDICES

This study examined the transformation of fertile peri-urban land surrounding large Algerian cities. Khemis El Khechna municipality in Boumerdes province was a case study for this phenomenon. Researchers utilized remote sensing techniques through Geographic Information Systems (GIS) to quantify land-use change. Specifically, the Normalized Difference Vegetation Index (NDVI) contributed to finding regions with high biodiversity and healthy vegetation, while the Normalized Difference Built-up Index (NDBI) highlighted areas of concentrated buildings. This data was crucial in identifying wastelands or potential wastelands. The ultimate goal was to promote the development of such areas as an alternative to encroaching on productive farmland. The indexes and their database hold great promise for agriculture in the form of a national cadaster. The method could also be easily applied to other African countries, by promoting the utilization of wasteland and the adoption of precise farming methods.

Dynamic Analysis of the Growth of Building Area and the Immigrant Population in Shanghai based on the PVAR Model

Since the reform and opening up more than 30 years ago, Shanghai has witnessed rapid development of economic and continuous acceleration of urbanization and continuous growth of building area. However, the number of migrants has decreased over the same period, which is inconsistent with previous studies that show that population affects land demand and floor space. In this paper, panel data of each district of Shanghai from 2014 to 2018 are selected and the panel vector autoregression model (PVAR model) is constructed to analyze the dynamic relationship between the building area growth of each district of Shanghai, the immigrant population and the economic growth. The results show that : (a)There is no long‐term equilibrium relationship between the growth of Shanghai's floor area and the migration of foreign population. (b) The construction area growth in Shanghai can affect the regional GDP growth to a certain extent. (c) The migration of migrants into Shanghai has a certain effect on the economic growth of Shanghai.

Energy consumption, power generation and performance analysis of solar photovoltaic module based building roof

Building energy intensity (BEI) of typical office buildings in Malaysia ranges from 200 to 250 kWh/m2/year, wherein a substantial portion is due to the cooling system. This study evaluates of the performance and suitability of double-laminated monocrystalline solar photovoltaic (PV) glass in comparison to traditional solar PV systems installed on roofs in Malaysian conditions. To address this aim, simulation studies have been conducted to examine the efficacy of Building Attached Photovoltaic (BAPV) and Building Integrated Photovoltaic (BIPV) systems. Key parameters such as heat transfer across the building envelope, cooling demand, daylight utilization, and solar irradiance were analyzed. Additionally, an evaluation of economic viability, including Return on Investment (ROI) and payback period (PBP), was undertaken. Analysis showed that more heat was transferred through the roof on the BIPV building as the U-value of the solar PV glass was higher than the metal deck roof on the BAPV building. The lighting energy in the BIPV building can be saved by up to 80 % as sufficient daylight was entering the building. More than 30 % of the building area had a daylight factor of 1.0 %–3.5 %. From economic viewpoint, the double-laminated monocrystalline solar PV glass had a longer payback period as the initial capital cost was much higher even though the one-off savings and annual savings in the BIPV building were more than the BAPV building.

Reduction of oxygen content in laser powder bed fusion process atmosphere – Effects on stochastic defect formation and mechanical properties

Stochastic defects in materials manufactured via laser powder bed fusion (LPBF) can severely compromise mechanical performance and are challenging to predict and detect, thus motivating the development of defect mitigation strategies. Particle oxidation is a factor well-known to generate defects by disturbing melt pool dynamics. If the particles are spatters, additional disturbances increase the likelihood of defect formation. In this study, restricting oxygen content in the process atmosphere to 50 ppm is investigated to minimize stochastic spatter-induced defects and improve the mechanical properties of Hastelloy X. Specimens were manufactured under this condition at two nominal layer thicknesses, analyzed for internal defects, and mechanically tested. Contrary to expectations, reducing the oxygen content did not prevent spatter-induced defect formation; rather, it could exacerbate the formation of more numerous and larger defects. Nevertheless, this tighter control of the process atmosphere led to significant microstructural refinement, which, when combined with sparse defects, resulted in improved fatigue performance. Despite the inherent ductility of Hastelloy X, the presence of abundant defects significantly larger than the microstructural characteristic size proved detrimental to fatigue performance. Notably, the occurrence of defects exhibited considerable variation across the build area, contributing to scatter in fatigue data. However, quantitative analysis of in-situ monitoring data enabled prediction of variability in defect content and mechanical performance.