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Academic literature on the topic 'Grouping'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Grouping"

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Zayats, Olena. "The EU Global Competitive Force Index." Economic Annals-ХХI 183, no. 5-6 (June 4, 2020): 17–25. http://dx.doi.org/10.21003/ea.v183-02.

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Introduction. With this paper we want to show that the study of international competitiveness only at a country level does not correspond to the contemporary development of the global economy. The author presents the methodology for competitiveness grouping of international integration groupings’ member states in order to assess the global competitive force of trade and economic groupings in the world economy. Based on the data of the Global Competitiveness Report 2019 regarding the competitiveness of the EU Member States, the Global Competitive Force Index of the EU as an interstate integration grouping has been calculated. The Index will help evaluate economic integration or disintegration processes in the global economy. The research demonstrates the necessity of the annual global competitive force ranking of international integration groupings. This study will enhance knowledge in the field of economics by grouping the EU Member States’ global competitiveness indices according to 12 criteria and identifying the new quantitative and qualitative integrated Global Competitive Force Index of an international integration grouping. To reach this objective, we will define the Integrated Global Competitive Force Index as the average of the individual points of the EU Member States in 2019. The novelty of our study lies in the comparative analysis of the three largest interstate integration groupings from the perspective of their competitive force. The introduction of the new integrated Global Competitive Force Index of interstate integration groupings will help competition policy makers decide which processes of economic integration or disintegration should be preferred in order to increase their competitive force in the global economy. The purpose. Research and calculation of the European Union’s Integrated Global Competitive Force Index to analyze the attractiveness of the European Union in terms of global competitive force. Based on the calculation of the EU Integrated Global Competitive Force Index 2019, the attractiveness of the EU competitive environment has been determined according to 12 criteria. Results. The ranking of the three largest regional integration groupings of the world economy has been formed. Specification of the assessment and results of the integrated index of interstate integration groupings’ global development can be used for the competition policy development of the individual member state of an integration grouping as well as the communitarian competition policy. The EU Integrated Global Competitive Force Index will help understand what the integration grouping’s competitive force means and whether the process of interstate integration of countries contributes to enhancing the competitive force of an individual country and the integration grouping as a whole. To calculate the EU Integrated Competitive Force Index, we will analyze the Member States on 12 competitive strength criteria, and Global Competitiveness Report 2019 will serve as the basis for our study. According to our calculations, the EU Integrated Global Competitive Force Index is 72 points out of 100. Conclusion. The results of a comprehensive integrated assessment of the competitive force of 28 EU Member States demonstrate a high overall competitive force index of the grouping, indicating the EU’s impact on global competitive processes. The EU Global Competitive Force Index can be used both as an indicator of the separate international integration grouping’s development and as a global criterion for the effectiveness of interstate integration groupings in the transformation of international competitive relations. Discussion. The highlighting of the EU global competitive force is a requirement for the contemporary development of the global competitive environment, since interstate integration groupings are the main actors of the world economy, which significantly affect the distribution and growth of competitive force.
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Gierach, Ewelina. "Dopuszczalność członkostwa w zespołach parlamentarnych i grupach bilateralnych posłów do PE." Zeszyty Prawnicze Biura Analiz Sejmowych 1, no. 69 (2021): 169–73. http://dx.doi.org/10.31268/zpbas.2021.13.

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The author indicates that according to the provisions of the Act on the Exercise of the Mandate of a Deputy or Senator, only Deputies and Senators may form parliamentary groupings. The possibility of participation of other persons in sittings of a grouping, including taking the floor in the discussion may be included in the grouping’s internal regulations (statutes). Members of the European Parliament elected in the Republic of Poland may not be members of parliamentary groupings and bilateral groupings.
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Korotaev, Sergey A., and Elena N. Gasiukova. "Grouping of Occupations Based on Intragenerational Mobility." Changing Societies & Personalities 7, no. 4 (December 27, 2023): 71. http://dx.doi.org/10.15826/csp.2023.7.4.252.

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Occupation is a key factor in human thinking, feeling, and behavior. Theoretically derived occupational groupings or classes are typically used to transform occupations into a variable suitable for statistical manipulations. We argue that such groupings are unlikely to produce groups that are homogeneous across a broad set of attributes. Instead, we offer a data-driven approach to identify groups of occupations based on respondents’ mobility data using network analysis. The vertices of the network are codes of occupations, and the edges reflect the number of transitions between them. Using modularity maximization, we identify four communities and evaluate the stability of the resulting partition. As an example demonstrating the efficiency of the resulting grouping, we present a comparison of the predictive power of this grouping and one of the generally accepted groupings of occupations, that is ESeG (European Socio-Economic Grouping), in relation to the human attitudes and values found in previous publications. The results indicate the preference of our grouping.
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SHIRINOV, B., and I. SALAMOVA. "THE METHOD OF DETERMINING THE OPTIMAL NUMBER OF GROUPS IN THE STUDY OF SOCIO-ECONOMIC PHENOMENA." Economics of the transport complex, no. 43 (March 25, 2024): 144. http://dx.doi.org/10.30977/etk.2225-2304.2024.43.144.

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It is common knowledge that the separation of socio-economic event units into homogeneous groups by important characteristics is called grouping in statistics. Grouping is one of the most efficient methods of statistical data processing. Grouping is the most important stage in the study of large-scale social phenomena. In the socio-economic study of statistical data and average, relative, etc. it is necessary to use grouping in the calculation of final indicators. Namely, with the help of correct and convenient grouping, the complexity of social life events can be expressed and reflected with statistical quantities. Therefore, the method of grouping together with the method of summative statistical indicators is a tool for the correct understanding of socio-economic events and processes. Grouping is a manifestation of implementing analysis and synthesis, and at this time, the following issues are resolved: 1) Determination of socio-economic types; 2) Studying the structure of socio-economic events; 3) Studying the relationship between organized groups. In problem solving with the grouping method, the following forms of grouping are mainly used: typical, structural, analytical. By means of typical grouping, the most important statistical problem is solved: socio-economic types are determined on aggregate units, that is, separate groups qualitatively different from the aggregate are created. When grouping according to this form, the correct determination of the group sign has a special role. Based on the analysis of the content of the studied event, the basis of the grouping (that is, the main feature in the grouping) is determined. Structural groupings reflect the development of constituent parts of socio-economic events and processes or their structure according to one or another characteristic. Analytical groupings are used to study the interrelationships between phenomena and the various signs affecting them. Through such groupings, it is possible to determine the cause and effect factors influencing the development of the studied phenomenon and process. Each of the aggregate units has an individual characteristic in its development. For this reason, the absolute level of the investigated symptom is different. Those units are grouped by variation (varying) from each other according to the level of research characteristics. Such groups are called sequences of numbers. The number of units (volume) or specific weight relative to the total can be given in the series of numbers; a quality indicator that cannot be counted can also group information. According to the author, the correct determination of the optimal number of groups in the statistical study of socio-economic phenomena will give more effective results.
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Kimchi, Ruth, and Irene Razpurker-Apfeld. "Perceptual grouping and attention: Not all groupings are equal." Psychonomic Bulletin & Review 11, no. 4 (August 2004): 687–96. http://dx.doi.org/10.3758/bf03196621.

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O'rourke, Norm, and Philippe Cappeliez. "MARITAL SATISFACTION AND SELF-DECEPTION: RECONSTRUCTION OF RELATIONSHIP HISTORIES AMONG OLDER ADULTS." Social Behavior and Personality: an international journal 33, no. 3 (January 1, 2005): 273–82. http://dx.doi.org/10.2224/sbp.2005.33.3.273.

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The relationship among marital aggrandizement, satisfaction with life, and marital satisfaction is examined among an international sample of older adults (N = 400). Three distinct groupings are identified on the basis of cluster analysis. A minority of participants emerged as dissatisfied with life and marriage. This grouping (the distraught) holds realistic perceptions of their relationship history. The same is true for a larger grouping identified as the realistically content who appear satisfied with life and marriage. The largest grouping (Pollyannas) also appears highly satisfied with life and marriage. Of note, these participants also engage in selective recall negating the occurrence of negative events and perceptions of their spouse and marriage. Multivariate Analysis of Variance (MANOVA) suggests that Pollyannas convey a tendency for self-deception that distinguishes them from the other two groupings. These results are discussed in terms of demographic trends and directions for future research.
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Katoshevski, David. "Characteristics of Spray Grouping/ Non-Grouping Behavior." Aerosol and Air Quality Research 6, no. 1 (2006): 54–66. http://dx.doi.org/10.4209/aaqr.2006.03.0005.

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Istiqomah, Fikriana Nur, Made Tirta, and Dian Anggareni. "Discriminant AnalysisFor Cluster Validation In A Case Study of District Grouping In Jember Regency Based On Poverty." Jurnal ILMU DASAR 20, no. 2 (July 16, 2019): 129. http://dx.doi.org/10.19184/jid.v20i2.9862.

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Cluster validation is a procedure to evaluate the results of cluster analysis quantitively and objectively on a data. The validation process is very important to get the results of a good and appropriate grouping. In the validation process, the author uses internal validation, stability, and discriminant analysis test. This study aims to obtain validation results from the hierarchy and kmeans method. This data grouping uses “iris” simulation data, which results from the grouping method used can be applied to the original data to see which vaidation method is used for all data and produce an optimal grouping. The result of the study show that in the “iris” data, a single linkage link is an appropriate grouping method because the result of the grouping are optimal for all validations and classification of group members whose groups are significant. In District poverty data in Jember Regency with a single linkage link optimal grouping was obtained and complete linkage links were also used as a method that resulted in optimal groupig for all validation. Cluster validation discriminant analysis test is appropriate for various types of data in general annd shows that single linkage methods are better than other methods for grouping and validation methods for “iris” data and District data in Jember Regency based on variabels of poverty status. Keywords: Cluster Analysis, Diskriminant Analysis, Multivariate Analysis, Validation Cluster.
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Kemp, Charles, Duane W. Hamacher, Daniel R. Little, and Simon J. Cropper. "Perceptual Grouping Explains Similarities in Constellations Across Cultures." Psychological Science 33, no. 3 (February 22, 2022): 354–63. http://dx.doi.org/10.1177/09567976211044157.

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Cultures around the world organize stars into constellations, or asterisms, and these groupings are often considered to be arbitrary and culture specific. Yet there are striking similarities in asterisms across cultures, and groupings such as Orion, the Big Dipper, the Pleiades, and the Southern Cross are widely recognized across many different cultures. Psychologists have informally suggested that these shared patterns are explained by Gestalt laws of grouping, but there have been no systematic attempts to catalog asterisms that recur across cultures or to explain the perceptual basis of these groupings. Here, we compiled data from 27 cultures around the world and found that a simple computational model of perceptual grouping accounts for many of the recurring cross-cultural asterisms. Our results suggest that basic perceptual principles account for more of the structure of asterisms across cultures than previously acknowledged and highlight ways in which specific cultures depart from this shared baseline.
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Hallam, Susan, and Judith Ireson. "Subject domain differences in secondary school teachers' attitudes towards grouping pupils by ability." Zbornik Instituta za pedagoska istrazivanja 40, no. 2 (2008): 369–87. http://dx.doi.org/10.2298/zipi0802369h.

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Previous research has revealed that teachers' attitudes to ability grouping are influenced by the type of ability grouping adopted in the school where they teach. This research aimed to compare the attitudes of teachers of different subjects teaching low, high or mixed ability classes in years 7 to 9 in 45 secondary schools. Over 1500 teachers from 45 secondary schools, with a range of subject specialisms completed a questionnaire which elicited their responses to statements of beliefs about ability grouping and its effects. Teachers of mathematics and modern foreign languages were more in favour of structured ability grouping than those teaching English and humanities. Science, arts and PE, and ICT, design and business studies teachers expressed intermediate attitudes. Attitudes were determined in part by conceptions of the nature of the subject but also by the type of ability groupings adopted by the school in which they taught. In taking decisions about the type of ability grouping to adopt consideration needs to be given to the nature of the subject matter to be taught and the attitudes of the teachers who teach that subject.
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Dissertations / Theses on the topic "Grouping"

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Rundqvist, David. "Grouping Biological Data." Thesis, Linköping University, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6327.

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Today, scientists in various biomedical fields rely on biological data sources in their research. Large amounts of information concerning, for instance, genes, proteins and diseases are publicly available on the internet, and are used daily for acquiring knowledge. Typically, biological data is spread across multiple sources, which has led to heterogeneity and redundancy.

The current thesis suggests grouping as one way of computationally managing biological data. A conceptual model for this purpose is presented, which takes properties specific for biological data into account. The model defines sub-tasks and key issues where multiple solutions are possible, and describes what approaches for these that have been used in earlier work. Further, an implementation of this model is described, as well as test cases which show that the model is indeed useful.

Since the use of ontologies is relatively new in the management of biological data, the main focus of the thesis is on how semantic similarity of ontological annotations can be used for grouping. The results of the test cases show for example that the implementation of the model, using Gene Ontology, is capable of producing groups of data entries with similar molecular functions.

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McMillan, Allison. "Dairy cattle grouping /." Click here to view, 2009. http://digitalcommons.calpoly.edu/dscisp/7.

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Thesis (B.S.)--California Polytechnic State University, 2009.
Project advisor: Edwin Jaster. Title from PDF title page; viewed on Jan. 21, 2010. Includes bibliographical references. Also available on microfiche.
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Dawara, Santosh. "Grouping related attributes /." Link to online version, 2004. https://ritdml.rit.edu/dspace/handle/1850/438.

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Gibeault, Kimberly. "The use of ability grouping and flexible grouping within guided reading." Online version, 2008. http://www.uwstout.edu/lib/thesis/2008/2008gibeaultk.pdf.

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Zhao, Zhenyuan. "Dynamical Grouping in Complex Systems." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_dissertations/498.

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Quantifying the behavior of complex systems arguably presents the common ¡°hard¡±problem across the physical, biological, social, economic sciences. Individual-based or agent-based models have proved useful in a variety of different real world systems: from the physical, biological, medical domains through to social and even financial domains. There are many different models in each of these fields, each with their own particular assumptions, strengths and weaknesses for particular application areas. However, there is a lack of minimal model analysis in which both numerical and analytic results can be obtained, and hence allowing different application domains to be analyzed on a common footing. This thesis focuses on a few simple, yet highly non-trivial, minimal models of a population of interacting objects (so-called agents) featuring internal dynamical grouping. In addition to analyzing these models, I apply them to a number of distinct real world systems. Both the numerical and analytical results suggest that these simple models could be key factors in explaining the overall collective behavior and emergent properties in a wide range of real world complex systems. In particular, I study variants of a particular model (called the EZ model) in order to explain the attrition time in modern conflicts, and the evolution of contagion phenomena in such a dynamically evolving population. I also study and explain the empirical data obtained for online guilds and offline gangs, leading to a team-based model which captures the common quantitative features of the data. I then move on to develop a resource competition model (i.e. the so-called El Farol model) and apply it to the carbon emissions market, mapping the different market factors into model parameters which enable me to explore the potential market behaviors under a variety of scenarios.
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Wildeman, Ralph Edwin. "The art of grouping maintenance." Rotterdam : Rotterdam : De Auteur ; Erasmus University [Host], 1996. http://www.eur.nl/WebDOC/doc/tinbergen/tir19960111120002.ps.

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Zheng, Ling. "Feature grouping-based feature selection." Thesis, Aberystwyth University, 2017. http://hdl.handle.net/2160/41e7b226-d8e1-481f-9c48-4983f64b0a92.

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Feature selection (FS) is a process which aims to select input domain features that are most informative for a given outcome. Unlike other dimensionality reduction techniques, feature selection methods preserve the underlying semantics or meaning of the original data following reduction. Typically, FS can be divided into four categories: filter, wrapper, hybrid-based and embedded approaches. Many strategies have been proposed for this task in an effort to identify more compact and better quality feature subsets. As various advanced techniques have emerged in the development of search mechanisms, it has become increasingly possible for quality feature subsets to be discovered efficiently without resorting to exhaustive search. Harmony search is a music-inspired stochastic search method. This general technique can be used to support FS in conjunction with many available feature subset quality evaluation methods. The structural simplicity of this technique means that it is capable of reducing the overall complexity of the subset search. The naturally stochastic properties of this technique also help to reduce local optima for any resultant feature subset, whilst locating multiple, potential candidates for the final subset. However, it is not sufficiently flexible in adjusting the size of the parametric musician population, which directly affects the performance on feature subset size reduction. This weakness can be alleviated to a certain extent by an iterative refinement extension, but the fundamental issue remains. Stochastic mechanisms have not been explored to their maximum potential by the original work, as it does not employ a parameter of pitch adjustment rate due to its ineffective mapping of concepts. To address the above problems, this thesis proposes a series of extensions. Firstly, a self-adjusting approach is proposed for the task of FS which involves a mechanism to further improve the performance of the existing harmony search-based method. This approach introduces three novel techniques: a restricted feature domain created for each individual musician contributing to the harmony improvisation in order to improve harmony diversity; a harmony memory consolidation which explores the possibility of exchanging/communicating information amongst musicians such that it can dynamically adjust the population of musicians in improvising new harmonies; and a pitch adjustment which exploits feature similarity measures to identify neighbouring features in order to fine-tune the newly discovered harmonies. These novel developments are also supplemented by a further new proposal involving the application to a feature grouping-based approach proposed herein for FS, which works by searching for feature subsets across homogeneous feature groups rather than examining a massive number of possible combinations of features. This approach radically departs from the traditional FS techniques that work by incrementally adding/removing features from a candidate feature subset one feature at a time or randomly selecting feature combinations without considering the relationship(s) between features. As such, information such as inter-feature correlation may be retained and the residual redundancy in the returned feature subset minimised. Two different instantiations of an FS mechanism are derived from such a feature grouping-based framework: one based upon the straightforward ranking of features within the resultant feature grouping; and the other on the simplification for harmony search-based FS. Feature grouping-based FS offers a self-adjusting approach to effectively and efficiently addressing many real-world problems which may have data dimensionality concerns and which requires semantic-preserving in data reduction. This thesis investigate the application of this approach in the area of intrusion detection, which must deal in a timely fashion with huge quantities of data extracted from network traffic or audit trails. This approach empirically demonstrates the efficacy of feature grouping-based FS in action.
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Henderson, Robert. "Swarms: Spatiotemporal grouping across domains." Springer, 2016. http://hdl.handle.net/10150/622353.

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First Online: 21 March 2016. 12 month embargo.
This paper presents cross-domain evidence that natural language makes use of (at least) two ways of individuating collective entities that differ in terms of how they cohere. The first kind, which I call swarm reference, picks out higher-order collective entities defined in terms of the spatial and temporal configuration of their constituent individuals. The second, which corresponds to canonical cases of group reference (e.g. committee, team, etc.), makes use of non-spatiotemporal notions. To motivate this distinction, I present systematic differences in how these two types of collective reference behave linguistically, both in the individual and event domains. These differences support two primary results. First, they are used as tests to isolate a new class of collective nouns that denote swarm individuals, both in English, as well as other languages like Romanian. I then consider a crosslinguistically common type of pluractionality, called event-internal in the previous literature (Cusic 1981, Wood 2007), and show that its properties are best explained if the relevant verbs denote swarm events. By reducing event-internal pluractionality to a type of collective reference also available for nouns, this work generates a new strong argument that pluractionality involves the same varieties of plural reference in the event domain that are seen in the individual domain.
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Vieira, Sérgio Filipe Gonçalves. "Object grouping in limited spaces." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21737.

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Mestrado em Engenharia Eletrónica e Telecomunicações
Com a crescente necessidade de transporte de mercadoria como resultado da globalização económica, é importante o melhoramento dos processos e procedimentos das operações logísticas como o carregamento e descarregamento de mercadoria, por forma às corporações aumentarem a sua vantagem competitiva e rentabilidade. Esta dissertação explora e apresenta dois temas relacionados com processos logísticos: Posicionamento de volumes e tecnologias de deteção para monitorização de mercadorias. Uma heurística foi desenvolvida para atribuição e posicionamento 3D de volumes dentro de contentores seguindo uma estratégia de colocação que produz soluções verticalmente estáveis e com um alto grau de compactação. Desenvolveram-se dois protótipos usando tecnologia de deteção capaz de medição de volumes, varrimento por laser e visão estereoscópica por computador, como fundação para um sistema para monitorizar o carregamento e descarregamento de mercadorias. Estes sistemas pretendem providenciar assistência para os operadores logísticos na aplicação de normas e identificação de potenciais problemas. Os resultados obtidos pela heurística são promissores, mostrando que um conjunto de simples regras de posicionamento de caixas consegue obter uma boa percentagem de ocupação de volume do contentor. Ambos os protótipos de deteção apresentaram bons resultados nos testes de laboratório, com o protótipo de visão estereoscópica provando ser o mais preciso e fiável para potencial desenvolvimento em uma aplicação a ser instalada em contentores. Esta dissertação conclui com observações acerca de futuros melhoramentos e desenvolvimentos para o trabalho implementado.
With the ever necessity of cargo transportation as the results of economic globalization, it is important to improve the processes and procedures of logistic operations such as cargo loading and unloading, in order for corporations to increase their competitive advantage and profitability. This dissertation explores and presents two subjects related with logistic processes: Volume placement and sensing technologies for cargo monitoring. A heuristic was developed for 3D volume assignment and placement inside containers following a positioning strategy that produces vertically stable solutions with a high degree of compactness. Two prototypes using sensing technology capable of volume measurement, laser range finding and computer stereo vision, were developed as a foundation for a system for monitoring the loading and unloading of cargo. These systems aim to provide assistance to logistic operators on the application of standards and identification of potential issues. The obtained results on the heuristic are promising, showing that a simple set of rules for placement of boxes can achieve a good occupation percentage of the container’s volume. Both sensing prototypes showed good results on lab tests with the stereo vision prototype proving to be the most accurate and reliable for potential further developments into an application to be installed in containers. This dissertation concludes with remarks regarding future improvements and developments for the implemented work.
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Elhag, Anas. "Hyper-heuristics for grouping problems." Thesis, University of Nottingham, 2015. http://eprints.nottingham.ac.uk/34217/.

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Grouping problems are hard to solve combinatorial optimization problems which require partitioning of objects into a minimum number of subsets while another additional objective is simultaneously optimized. Considerable research e ort has recently been directed towards automated problem-independent reusable heuristic search methodologies such as hyper-heuristics, which operate on a space formed by a set of low level heuristics rather than solutions, directly. Hyper-heuristics are commonly split into two main categories: selection hyper-heuristics, which are the focus of the work presented in this thesis, and generation hyper-heuristics. Most of the recently proposed selection hyper-heuristics are iterative and make use of two key methods which are employed successively; heuristic selection and move acceptance. At each step, a new solution is produced after a selected heuristic is applied to the solution at hand and then the move acceptance method is used to decide whether the resultant solution replaces the current one or not. This thesis presents a novel generic single point-based selection hyper-heuristic search framework, referred to as grouping hyper-heuristic framework. The proposed framework deals with one solution at any given decision point during the search process and embeds axed set of reusable standard low level heuristics specifically designed for the grouping problems. The use of standard heuristics enables the re-usability of the whole framework across different grouping problem domains with less development effort. The proposed grouping hyper-heuristic framework is based on a bi-objective formulation of any given grouping problem. Inspired from multi-objective optimization, a set of high quality solutions is maintained during the search process, capturing the trade-of between the number of groups and the additional objective for the given grouping problem. Moreover, the grouping framework includes a special two-phased acceptance mechanism that use the traditional move acceptance method only to make a preliminary decision regarding whether to consider the new solution for acceptance or not. The performance of different selection hyper-heuristics combining different components, implemented based on the proposed framework is investigated on a range of sample grouping problem domains, including graph coloring, exam timetabling and data clustering domains. Additionally, the selection hyper-heuristics performing the best on each domain are compared to the previously proposed problem-specific algorithms from the scientific literature. The empirical results shows that the grouping hyper-heuristics built based on the proposed framework are not only sufficiently general, but also able to obtain high quality solutions, competitive to some previously proposed approaches. The selection hyper-heuristic employing the 'reinforcement learning' heuristic selection method and embedding the 'iteration limited threshold accepting' move acceptance method performs the best in the overall across those grouping problem domains.
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Books on the topic "Grouping"

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Boothroyd, Jennifer. Grouping. Minneapolis: Lerner Publications Co., 2007.

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Ballard, Carol. Grouping materials. Oxford: Heinemann Library, 2003.

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Ganeri, Anita. Grouping words: Sentences. London: Raintree, 2013.

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Kogan, Jacob, Charles Nicholas, and Marc Teboulle, eds. Grouping Multidimensional Data. Berlin/Heidelberg: Springer-Verlag, 2006. http://dx.doi.org/10.1007/3-540-28349-8.

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Mutingi, Michael, and Charles Mbohwa. Grouping Genetic Algorithms. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44394-2.

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Tann, Sarah. Grouping and groupwork. [s.l.]: [s.n.], 1987.

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Ganeri, Anita. Grouping words: Sentences. Chicago, Ill: Heinemann Library, 2012.

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Air, Jeff Alexander. Grouping of image tokens. Toronto: University of Toronto, Dept. of Computer Science, 1985.

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J, Knapp Brian, ed. Grouping and changing materials. Henley-on-Thames: Curriculum Visions, 2008.

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Susan, Hallam, ed. Ability grouping in education. London: Paul Chapman, 2001.

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Book chapters on the topic "Grouping"

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Khan, Arshad. "Grouping." In Jumpstart Tableau, 135–46. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1934-8_15.

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Olsson, Mikael. "Grouping." In CSS Quick Syntax Reference Guide, 5–6. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6491-0_2.

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Calì, Carmelo. "Grouping." In Lecture Notes in Morphogenesis, 229–31. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51324-5_51.

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Weik, Martin H. "grouping." In Computer Science and Communications Dictionary, 698. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8112.

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Zhang, Xinhua, Novi Quadrianto, Kristian Kersting, Zhao Xu, Yaakov Engel, Claude Sammut, Mark Reid, et al. "Grouping." In Encyclopedia of Machine Learning, 492. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_356.

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Olsson, Mikael. "Grouping." In CSS3 Quick Syntax Reference, 7–8. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4903-1_2.

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Tomita, Fumiaki, and Saburo Tsuji. "Grouping." In Computer Analysis of Visual Textures, 83–97. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1553-7_6.

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Diller, Debbie. "Grouping." In Making the Most of Small Groups, 20–34. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781032681610-3.

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Glover, Graham, and J. H. Court. "Grouping." In British Locomotive Design, 84–104. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032629247-7.

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Wormeli, Rick. "Grouping." In Day One and Beyond, 94–104. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781032680972-7.

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Conference papers on the topic "Grouping"

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Fang, Wen-Chang, and Sandeep K. Gupta. "Clock grouping." In the 31st annual conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/196244.196291.

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Xu, Jiang, Junsong Yuan, and Ying Wu. "Bipolar grouping." In 2010 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2010. http://dx.doi.org/10.1109/icme.2010.5583062.

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Block, Florian, James Hammerman, Michael Horn, Amy Spiegel, Jonathan Christiansen, Brenda Phillips, Judy Diamond, E. Margaret Evans, and Chia Shen. "Fluid Grouping." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702123.2702231.

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Lindlbauer, David, Michael Haller, Mark Hancock, Stacey D. Scott, and Wolfgang Stuerzlinger. "Perceptual grouping." In ITS '13: The ACM International Conference on Interactive Tabletops and Surfaces. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2512349.2512801.

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Zhang, Mingwen, Haiying Xia, and Yumei Tan. "GroupSeg: An Efficient Grouping Transformer Network for Polyp Segmentation." In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023. http://dx.doi.org/10.1109/bibm58861.2023.10385401.

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Buchin, Kevin, Maike Buchin, Marc van Kreveld, Bettina Speckmann, and Frank Staals. "Trajectory Grouping Structure." In Annual Symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2582112.2595646.

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Arbelaez, Pablo, Jordi Pont-Tuset, Jon Barron, Ferran Marques, and Jitendra Malik. "Multiscale Combinatorial Grouping." In 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2014. http://dx.doi.org/10.1109/cvpr.2014.49.

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Rosin, Paul L. "Grouping Curved Lines." In British Machine Vision Conference 1994. British Machine Vision Association, 1994. http://dx.doi.org/10.5244/c.8.26.

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Becker, Michael, and Volker Gruhn. "Automated model grouping." In the IEEE/ACM international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1858996.1859096.

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Pachoud, Samuel, Emilio Maggio, and Andrea Cavallaro. "Grouping motion trajectories." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4959874.

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Reports on the topic "Grouping"

1

Jacobs, David W. Grouping for Recognition. Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada216716.

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Remund, K. M., and B. C. Simpson. Hanford Waste Tank Grouping Study. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/576148.

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Remund, K. M., C. M. Anderson, and B. C. Simpson. Hanford single-shell tank grouping study. Office of Scientific and Technical Information (OSTI), October 1995. http://dx.doi.org/10.2172/123215.

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Hopps, C. A YANG Grouping for Geographic Locations. RFC Editor, February 2022. http://dx.doi.org/10.17487/rfc9179.

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Camarillo, G., and H. Schulzrinne. The Session Description Protocol (SDP) Grouping Framework. RFC Editor, June 2010. http://dx.doi.org/10.17487/rfc5888.

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Megret, Remi, and Daniel DeMenthon. A Survey of Spatio-Temporal Grouping Techniques. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada459242.

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Jacobs, David W. The Use of Grouping in Visual Object Recognition. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada201691.

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Ashwood, T. L. Ecological assessment plan for Waste Area Grouping 5. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/5601415.

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Begen, A., Y. Cai, and H. Ou. Duplication Grouping Semantics in the Session Description Protocol. RFC Editor, January 2014. http://dx.doi.org/10.17487/rfc7104.

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Ashwood, T. L. Ecological assessment plan for Waste Area Grouping 5. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/10133270.

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