Multiple Values Research Articles

Building Extraction from LiDAR Point Clouds Based on Revised RandLA-Net

Abstract. 3D building models is crucial for applications in smart cities. Automatic reconstruction of 3D buildings has been investigated based on various data sources. Point clouds from airborne LiDAR scanners can be used to extract buildings data due to its high accuracy and point density. In this paper, we present a methodology to segment buildings and corresponding rooftop structure from point clouds. First, RandLA-Net, which is an efficient and lightweight neural network for semantic segmentation of large-scale point clouds, is revised and adopted for building segmentation. By implementing local feature aggregation of each point, RandLA-Net can effectively preserve geometric details in point clouds. Besides 3D coordinates of point clouds, we incorporated point attributes including pulse intensity and return numbers into the network as additional features. Feature normalizations are applied to the input features. To achieve a better result of the local feature aggregation, hyperparameters of the network are fine-tuned according to the density of points and building size. Based on the classified building point clouds, DBSCAN clustering algorithm is implemented for segmenting individual buildings. Elevation histogram analysis is conducted to determine optimal threshold values for delineating candidate rooftop point clouds of individual buildings. For the buildings with multiple rooftops, multiple elevation threshold values are necessary to extract corresponding rooftops or walls. Then DBSCAN is employed again for segmentation of individual rooftops and denoising of point clouds of each building. Finally, Alpha-shape analysis is applied based on adaptive threshold values to build the envelope of each rooftop. Experiments show that our implementation of building segmentation using RandLA-net achieves higher mean IoU (Intersection over Union) and better classification performance in building segmentation. ISPRS benchmark data was used in our experiment and our methodology produce results with accuracy of 90.79%.

THE INFLUENCE OF THE PHYSICAL WORK ENVIRONMENT AND CAREER DEVELOPMENT ON EMPLOYEE PERFORMANCE

This research explores the impact of the physical work environment and career development on employee performance at CV. Ide Creative Printing Tangerang Selatan. The research uses a quantitative approach for all CV employees. South Tangerang Creative Printing Idea, totaling 60 people, was used as the research population. Data collection methods include observation, literature study, and use of questionnaires. Data analysis was carried out using various statistical tests, such as Validity Test, Reliability, Classical Assumptions, Pearson Correlation, Determination, Simple Linear Regression, and Hypothesis Testing. The analysis results show that the physical work environment and career development significantly influence employee performance at CV. Ide Creative Printing Tangerang Selatan. The multiple linear regression value shows the positive contribution of these two variables to employee performance, with a contribution of 67.3%, while other factors influence the remaining 32.7%.

Perception of Locals on Multiple Contributions of NTFPs to the Livelihoods of Forest Fringe Communities in Ghana

Forest-dwelling residents frequently collect non-timber forest products (NTFPs) for various reasons, such as food, medicine, firewood, religious reasons, or handicrafts. This study examines the multiple benefits derived from NTFPs and how they contribute to the livelihoods of Ghanaian communities to alleviate poverty. Resources and services provided by NTFPs have an essential role in providing economic, nutritional, medicinal, cultural, and environmental benefits. This study examines the diverse range of NTFPs locals collect, such as chewing sticks, games, herbs, honey, leaves, mushrooms, pestles, raffia and palms, snails, and straws. In addition to serving different purposes, these NTFPs contribute to income generation, food security, health care, cultural practices, and the protection of the environment. A qualitative research approach was used in this study to collect data through semi-structured interviews and focus groups with members on multiple collections of NTFPs and their multiple benefits. We interviewed 732 residents regarding their multiple NTFPs and their potential to improve the livelihood of the locals. The data for the study were analysed using descriptive statistics. As a result of the survey, the frequency and percentages of responses were analysed for each indicator related to multiple values of NTFPs. Both males and females collected a list of NTFPs during the survey. Regarding NTFPs used for sale, 275 were reported, representing 37.57% of the total. In addition to emphasising the importance of sustainable management practices and equitable distribution of benefits, the study explores the multiple benefits of NTFPs for poverty alleviation in Ghanaian communities. It is essential to ensure the conservation of forest ecosystems and promote inclusive policies to harness the potential of NTFPs and maximise their positive impact on livelihoods. NTFPs provide multiple benefits for Ghanaian communities, including income, nutrition, healthcare, cultural preservation, and environmental sustainability. To promote sustainable development, it is imperative to understand the role of NTFPs and implement appropriate strategies.

Selection of the Best in the Presence of Subjective Stochastic Constraints

We consider the problem of finding a system with the best primary performance measure among a finite number of simulated systems in the presence of subjective stochastic constraints on secondary performance measures. When no feasible system exists, the decision maker may be willing to relax some constraint thresholds. We take multiple threshold values for each constraint as a user’s input and propose indifference-zone procedures that perform the phases of feasibility check and selection-of-the-best sequentially or simultaneously. Given that there is no change in the underlying simulated systems, our procedures recycle simulation observations to conduct feasibility checks across all potential thresholds. We prove that the proposed procedures yield the best system in the most desirable feasible region possible with at least a pre-specified probability. Our experimental results show that our procedures perform well with respect to the number of observations required to make a decision, as compared with straight-forward procedures that repeatedly solve the problem for each set of constraint thresholds, and that our simultaneously-running procedure provides the best overall performance.

Optimization of a wind farm layout to mitigate the wind power intermittency

A multi-objective optimization method utilizing genetic algorithms is developed to optimize wind farm layout design with the dual objectives of enhancing the production of wind power and reducing hour-level intermittency in the generated power. This method introduces a novel metric for annual wind power intermittency based on the transition probability of wind conditions (i.e., speed and direction). The present multi-objective optimization method ensures that Pareto optimal layouts are evenly distributed according to multiple cost function values. To mitigate wind power intermittency, the spatial distribution of wake fields is strategically manipulated to counteract hourly fluctuations in wind conditions. In wind conditions favoring high power generation, it is found that increasing the overlap between wakes and turbines helps to minimize disparities in generated power compared to other wind conditions.

Classification performance assessment for imbalanced multiclass data

The evaluation of diagnostic systems is pivotal for ensuring the deployment of high-quality solutions, especially given the pronounced context-sensitivity of certain systems, particularly in fields such as biomedicine. Of notable importance are predictive models where the target variable can encompass multiple values (multiclass), especially when these classes exhibit substantial frequency disparities (imbalance). In this study, we introduce the Imbalanced Multiclass Classification Performance (IMCP) curve, specifically designed for multiclass datasets (unlike the ROC curve), and characterized by its resilience to class distribution variations (in contrast to accuracy or Fβ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$_\\beta$$\\end{document}-score). Moreover, the IMCP curve facilitates individual performance assessment for each class within the diagnostic system, shedding light on the confidence associated with each prediction—an aspect of particular significance in medical diagnosis. Empirical experiments conducted with real-world data in a multiclass context (involving 35 types of tumors) featuring a high level of imbalance demonstrate that both the IMCP curve and the area under the IMCP curve serve as excellent indicators of classification quality.

Advanced machine learning for missing petrophysical property imputation applied to improve the characterization of carbonate reservoirs

Missing data is a common cause of uncertainty in reservoir characterization, especially in core analysis of porosity and permeability. This is due to the high cost and time required to gather core samples while drilling through the entire reservoir thickness. Therefore, the ability to collect core samples and directly assess petrophysical parameters is restricted by the small proportion of the reservoir thickness that can be measured by the retrieved cores. As a result, the absence of data has the potential to lead to inconsistent and imprecise classification of reservoirs and geomodeling, thereby increasing reservoir uncertainty. Therefore, imputation algorithms are needed to estimate petrophysical properties for incomplete intervals. This study comprehensively compares seven imputation techniques for predicting missing horizontal and vertical core permeability and core porosity data in a well drilled through a carbonate reservoir in a southern Iraqi gas field. The performance of each method was assessed using relative bias (RB) and reasonable descriptive statistical distributions (histogram, log view, and box plots of data ratios to compare the imputed and original data), and robustness to outliers (RtO). The results revealed that the random imputation of missing data (RIMD) technique is the most effective algorithm in addressing the 30.5% missing data (vertical permeability), resulting in the attainment of the RB value closest to zero (0.04076191) compared to other algorithms. Principal component analysis (PCA) and random forest (RF) yielded the most favorable results in terms of handling missing values and outliers for the 15% missing ratio dataset (core porosity and horizontal permeability). The advantages of these approaches are related to their capacity to independently and accurately impute the missing data without requiring extra information, such as well logging records. Additionally, the multiple imputation and machine learning algorithms fill missing values with adequate numbers based on dataset variable distributions and correlations. Multiple plausible values quantify the uncertainty in estimating missing data, avoiding false precision (as with single imputation). Also, the novel workflow involving multiple imputation methods accurately take into account the correlations and variances between the variables. The novel workflow developed for missing data imputation has the potential to be applied to other clastic and carbonate reservoirs in oil and gas fields. The entire data imputation workflow was conducted, validated, visualized by codes in R, a robust open-source statistical computing software.

Degrowth scenarios for biodiversity? Key methodological steps and a call for collaboration

AbstractStudies show that economic growth contributes to biodiversity loss and that, after a certain threshold, it does not contribute to wellbeing. Thus, when developing biodiversity scenarios, considering societal futures where economic growth is not a pre-condition deserves special attention. However, to date, degrowth scenarios have not been explored for biodiversity conservation and human wellbeing. In this paper, we explain how the Nature Futures Framework (NFF) and other approaches could be used to generate degrowth scenarios for biodiversity, nature’s contributions to people (NCP) and good quality of life (GQL) based on multiple societal values. We present key methodological steps of such an endeavour, including: (i) producing degrowth visions for high-income countries; (ii) identifying leverage points and imagining degrowth pathways; (iii) identifying key social–ecological interactions; and (iv) modelling biodiversity, NCP, and GQL along degrowth scenarios. Our proposal is framed within current theoretical, empirical, and modelling work as well as within efforts to improve scenario development across the biodiversity and climate communities. To develop degrowth scenarios for biodiversity, NCP, and GQL, we call for collaboration across natural and social sciences, quantitative and qualitative approaches, and northern and southern perspectives. This collaboration could lead to a community of practice that tests and improves the degrowth scenarios in national and international science–policy interfaces as they set out to achieve the Convention on Biological Diversity’s 2050 vision of living in harmony with nature.

Computation of Laplacian eigenvalues of two-dimensional shapes with dihedral symmetry

We numerically compute the lowest Laplacian eigenvalues of several two-dimensional shapes with dihedral symmetry at arbitrary precision arithmetic. Our approach is based on the method of particular solutions with domain decomposition. We are particularly interested in asymptotic expansions of the eigenvalues λ(n)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\lambda (n)$$\\end{document} of shapes with n edges that are of the form λ(n)∼x∑k=0∞Ck(x)nk\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\lambda (n) \\sim x\\sum _{k=0}^{\\infty } \\frac{C_k(x)}{n^k}$$\\end{document} where x is the limiting eigenvalue for n→∞\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$n\\rightarrow \\infty $$\\end{document}. Expansions of this form have previously only been known for regular polygons with Dirichlet boundary conditions and (quite surprisingly) involve Riemann zeta values and single-valued multiple zeta values, which makes them interesting to study. We provide numerical evidence for closed-form expressions of higher order Ck(x)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$C_k(x)$$\\end{document} and give more examples of shapes for which such expansions are possible (including regular polygons with Neumann boundary condition, regular star polygons, and star shapes with sinusoidal boundary).

Analysis on the Contemporary Value and Inheritance Path of Excellent Chinese Traditional Culture

The excellent Chinese traditional culture has multiple values in the contemporary era, which helps to enhance China's soft power and promote the social harmony and stability. Therefore, we should strengthen the protection and inheritance of the excellent Chinese traditional culture. In this regard, the education system should strengthen the education and popularization of traditional culture, the media and digital platforms should strengthen the promotion of traditional cultural contents, and the government should strengthen the policy support and guarantee for the protection and inheritance of cultural heritage, so as to effectively promote the inheritance and development of excellent Chinese traditional culture in the contemporary era.

Simulation modelling of residual resource for hoisting mechanisms in the mining industry

The rationale for prolonging the operational life of the crane is rooted in the economic viability of conserving metal and energy, leading to ecological benefits. Cranes, being structures with a high metal content, contribute to pollution reduction by eliminating the necessity for additional manufacturing processes in mining, metallurgical, machinery plants, and energy supply facilities. To assess the remaining service life, statistical simulation modelling is employed. The objective is to showcase the feasibility of determining the residual resource within the time interval using the Monte Carlo method in simulation modelling. In this analysis, multiple random parameter values are generated, and calculations are performed to form a statistical distribution of the results. The reliability theory utilizes the Weibull distribution. Once the distribution parameters are established, the residual resource of the metal structure operating in the interval can be ascertained. A crane with a service life of more than twenty years is considered, and the quantity is modelled randomly within the range from zero to one. From twenty experiments, the results indicate an average resource with a confidence interval of few years.

Sticking around or fading away: water patronage and value in Chad

AbstractThis article explores trajectories in the politics of water patronage in N’Djamena, Chad. Water appears as a malleable and elusive commodity, at once ubiquitous and somewhat overlooked. Drawing on ethnographic field research in peripheral N’Djamena, I argue that relational distance is skilfully handled by water patrons for monetary rewards and influence. Such handling swings the making of water value in contradictory directions unaccounted for in much of the existing literature on water patronage. Present or absent, hidden or on display, funders or profit makers, patrons may leverage water supply through material, symbolic or entrepreneurial labour that places them in conflicting spaces. Ultimately, these leveraging processes based on the manipulation of relational distance create a multifaceted water valuation. The various positionalities of the water patrons and their use of relational distance point to the existence of multiple water values, rather than a single one. Therefore, I argue that water may have either a ‘distant value’ or an ‘anchored value’, depending on the relational distance strategy implemented by the patron who provides it.

Thermal analysis and dynamic attributes of a sustainable CSP-fossil hybrid power plant utilizing organic Rankine cycles for enhanced plant performance

The increasing global demand for energy, driven by population growth, highlights the need for sustainable solutions to ensure a sustainable future. This article outlines the design and optimization process of a 1 MW CSP-Fossil hybrid power plant that examines the utilization of toluene and cyclohexane as working fluids within three distinct Organic Rankine cycle (ORC) configurations (simple, recuperated, and with Open Feed Organic Heater). This study aims to propose a sustainable and effective solution for satisfying energy needs while addressing the intermittent nature of solar resources by enhancing system architecture and incorporating fossil fuel technologies. The solar field design has been based on a Concentrated Solar Power (CSP) system, which generated 44% of the total energy output from renewable solar sources. The analysis takes into consideration a selection of criteria, notably thermal efficiency, overall efficiency, power generation capacity, and cost-effectiveness. The selection of relevant performance indicators, evaluation of alternative ORC configurations and working fluids, and optimization of the solar multiple and thermal storage capacity are included among the criteria for conducting the parametric investigation. Based on the investigation, it has been determined that the ORC configuration, which includes a recuperator and utilizes cyclohexane as the working fluid, demonstrates the most favorable design. This configuration offers enhanced efficiency and improved performance. Additionally, it is determined that a solar multiple value of 1.7 and the integration of a 12-hour thermal energy storage system are optimal. This led to a 4-5 hour increase in the availability of daily power generation, thereby improving the reliability and flexibility of the CSP plant. The incorporation of fossil fuels into the hybrid CSP-Fossil plant results in a notable enhancement of the Capacity Utilization Factor (CUF). This improvement guarantees uninterrupted energy generation even when solar resources are limited. The implications of the findings are significant for the future development of CSP systems. These findings provide valuable insights into enhancing energy efficiency and tackling sustainability challenges.

红色文化与乡村振兴耦合的现实困境与法制完善

Red culture is an advanced culture with Chinese Marxism as its core. It is scientific, advanced and contemporary. Taking the Taihang spirit as an example, red culture has multiple values. Tapping the economic value empowers rural revitalization, and tapping the spiritual value can improve the political position of grassroots governance and strengthen the ideological correction role of the red cultural industry. On the basis of discovering the existing difficulties, it is pointed out that the Taihang spirit should give full play to the value of its red cultural resources, shape red cultural IP, and promote the exploration of red connotations. Technology empowerment enables the professionalization and intelligence of red culture research and development, dissemination and education. Finally, the red culture is strengthened to consolidate the function of grassroots party building, so as to realize the Taihang spirit and help the rural revitalization of old revolutionary areas.

Assessing multiple values of nature in National Biodiversity Strategies and Action Plans

Abstract Around the world, people express a variety of values of nature based on how they relate and interact with it. These values of nature, broadly classified as instrumental, intrinsic, and relational values, underlie environmental policy and decision‐making processes. In this paper, our aim was to assess the values of nature that are expressed in national environmental policy documents. We assessed the National Biodiversity Strategies and Action Plans (NBSAPs), the key national policy framework for biodiversity conservation, from 11 countries, representing the five regional United Nations groups. We used qualitative content analysis to identify the value orientation of the statements in the NBSAPs and the main themes under each. Across the 11 NBSAPs, unspecified value orientation statements were the most common (40%), followed by instrumental (38%), intrinsic (14%) and relational (9%) value orientation statements. We identified the main themes in the instrumental value orientation statements as follows: (1) sustainability, (2) natural resources and (3) ecosystem services. The main themes present in the intrinsic value orientation statements were as follows: (1) recognizing intrinsic value, (2) endangered species and habitats, (3) conservation programmes and (4) threats to nature. Relational value orientation statements referenced as follows: (1) duty and responsibility to protect nature, (2) values expressed for nature, (3) national pride and heritage, (4) Indigenous peoples and local community's (IP&LCs) relationships with nature, (5) protecting nature for future generations and (6) equity in the use and access of nature. Our findings indicate that NBSAPs respond to the directive of the Convention on Biological Diversity. They are primarily based on the instrumental values of nature, only rarely considering other ways in which nature is valuable to people. This can reinforce unjust outcomes for human well‐being since environmental policies may not reflect the diverse ways in which nature and biodiversity matter to the population. In an increasingly interconnected world, environmental policies are called on to incorporate multiple values to achieve positive outcomes for both human well‐being and biodiversity conservation. Read the free Plain Language Summary for this article on the Journal blog.

Prospects of crambe for the bioeconomy of the Swabian Alb in southwest Germany

Crambe (Crambe abyssinica Hochst. ex R.E.Fr.) is a drought-tolerant, non-edible annual oil crop with low fertilization needs, and there are compelling opportunities for crambe to capitalize on market growth in natural cosmetics and the regional sustainability. It is therefore proposed for cleaner biomass production on marginal land, and the development of novel value chains and webs in rural areas. Therefore, this study assesses the prospects for growing and processing crambe in the Swabian Alb, a rural area in southwestern Germany large parts of which are characterized by marginal shallow stony soil. A literature review, stakeholder questionnaires, and a SWOT analysis were used to assess crambe's potential in the region. This informed a locally adapted value web, which combines multiple value chains and stakeholders into one interlinked diagram showing present potential valorization opportunities for crambe in the region. However, it was found that it is not currently possible to implement a value web for crambe in the Swabian Alb. Instead, a single value chain involving farmers, cosmetics companies, and biogas plants is possible. To expand this value chain opportunity into a value web, more information is needed for all stakeholders. European Innovation Action projects could help by providing more information about crambe cultivation and by ensuring ecologic and social sustainability. Economic sustainability, however, will require the involvement of other stakeholders in the value web, so that supply matches demand. Local institutions and networks can share knowledge to grow the currently possible value chain into a broader value web. This approach could also be used in other regions to assess the sustainability of novel biobased value chains across social, economic, and environmental dimensions.

On Dirichlet eigenvalues of regular polygons

We prove that the first Dirichlet eigenvalue of a regular N-gon of area π has an asymptotic expansion of the form λ1(1+∑n≥3Cn(λ1)Nn) as N→∞, where λ1 is the first Dirichlet eigenvalue of the unit disk and Cn are polynomials whose coefficients belong to the space of multiple zeta values of weight n and conjecture that their coefficients lie in the space of single-valued multiple zeta values. We also explicitly compute these polynomials for all n≤14.

Contextualizing hard cider flavor language and market position

Abstract This paper investigates the market position of hard cider within the broader alcoholic beverage market. The first experiment identifies two distinct consumer segments—around 40% prioritize flavor attributes, while 53% prefer production information. The second experiment utilizes a basket- and expenditure-based choice experiment and a multiple discrete choice extreme value model to assess hard cider's standing among commonly consumed alcoholic beverages. Results reveal that hard cider is perceived as a complement to red and white wine but is independent from beer. The study suggests marketing hard cider in conjunction with white wine to capitalize on observed complementarity. Emphasizing the importance of addressing both consumer segments—those valuing flavor notes and those prioritizing production information—the research offers valuable insights for optimizing hard cider market strategies.

Structure based transmission estimation in single image dehazing

The single image dehazing (SID) is challenging because of ill-posed characteristic, since there exist multiple possible dehazed images for a single hazy image due to multiple possible values of transmission. The SID is solved using scattering model, which requires computation of two parameters (transmission and atmospheric light) for its solution. The existing methods have presented priors and techniques to estimate transmission with limited focus on structure of the transmission. This paper proposes a lower bound on transmission using structural measure. The proposed lower bound is utilized to estimate the value of transmission, while preserving structural. Further, a quality control parameter is introduced to ensure non-negative value of the transmission for images with brighter objects than atmospheric light. The accuracy and efficiency of the proposed method is established by comparing with renowned SID methods using benchmark datasets.

Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities

Public deliberations are often a staple ingredient in community decision-making. However, traditional, time-constrained, in-person debates can become highly polarized, eroding trust in authorities, and leaving the community divided. This is the case in redistricting deliberations for public school zoning. Seeking alternative ways of support, we evaluated the potential introduction of an online platform that combines multiple streams of data, visualizes school attendance boundaries, and enables the manipulation of representations of land parcels. To capture multiple stakeholders' values about the potential to enhance public engagement in school rezoning decision-making through an online platform, we conducted interviews with 12 participants with previous experiences in traditional, in-person deliberations. Insights from the interviews highlight the several roles an online platform could take, especially as it provides alternative means of participation (online, synchronous, and asynchronous). Additionally, we discuss the potential for technology to increase the visibility and participation of multiple community actors in public deliberations and present implications for the design of future tools to support public decision-making.