Relevant bibliographies by topics / Object decision

Academic literature on the topic 'Object decision'

Author: Grafiati
Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Object decision"

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Vernon, David, and Toby J. Lloyd-Jones. "The Role of Colour in Implicit and Explicit Memory Performance." Quarterly Journal of Experimental Psychology Section A 56, no. 5 (July 2003): 779–802. http://dx.doi.org/10.1080/02724980244000684.

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We present two experiments that examine the effects of colour transformation between study and test (from black and white to colour and vice versa, or from incorrectly coloured to correctly coloured and vice versa) on implicit and explicit measures of memory for diagnostically coloured natural objects (e.g., yellow banana). For naming and coloured-object decision (i.e., deciding whether an object is correctly coloured), there were shorter response times to correctly coloured-objects than to black-and-white and incorrectly coloured-objects. Repetition priming was equivalent for the different stimulus types. Colour transformation did not influence priming of picture naming, but for coloured-object decision priming was evident only for objects remaining the same from study to test. This was the case for both naming and coloured-object decision as study tasks. When participants were asked to consciously recognize objects that they had named or made coloured-object decisions to previously, whilst ignoring their colour, colour transformation reduced recognition efficiency. We discuss these results in terms of the flexibility of object representations that mediate priming and recognition.
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Carlson, Thomas A., J. Brendan Ritchie, Nikolaus Kriegeskorte, Samir Durvasula, and Junsheng Ma. "Reaction Time for Object Categorization Is Predicted by Representational Distance." Journal of Cognitive Neuroscience 26, no. 1 (January 2014): 132–42. http://dx.doi.org/10.1162/jocn_a_00476.

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How does the brain translate an internal representation of an object into a decision about the object's category? Recent studies have uncovered the structure of object representations in inferior temporal cortex (IT) using multivariate pattern analysis methods. These studies have shown that representations of individual object exemplars in IT occupy distinct locations in a high-dimensional activation space, with object exemplar representations clustering into distinguishable regions based on category (e.g., animate vs. inanimate objects). In this study, we hypothesized that a representational boundary between category representations in this activation space also constitutes a decision boundary for categorization. We show that behavioral RTs for categorizing objects are well described by our activation space hypothesis. Interpreted in terms of classical and contemporary models of decision-making, our results suggest that the process of settling on an internal representation of a stimulus is itself partially constitutive of decision-making for object categorization.
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Preston, Stephanie D., and Andrew D. MacMillan-Ladd. "Object attachment and decision-making." Current Opinion in Psychology 39 (June 2021): 31–37. http://dx.doi.org/10.1016/j.copsyc.2020.07.019.

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Cho, Yongkyun, and Seymour Ginsburg. "Decision problems of object histories." Information and Computation 83, no. 2 (November 1989): 245–63. http://dx.doi.org/10.1016/0890-5401(89)90060-6.

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Hyacenth, Chineke Amaechi. "Optimizing Multiple Object Tracking and Decision making using neuro–fuzzy." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 871–76. http://dx.doi.org/10.31142/ijtsrd23185.

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Biedrzycki, Jedrzej, and Robert Burduk. "Integration of Decision Trees Using Distance to Centroid and to Decision Boundary." JUCS - Journal of Universal Computer Science 26, no. 6 (June 28, 2020): 720–33. http://dx.doi.org/10.3897/jucs.2020.038.

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Plethora of ensemble techniques have been implemented and studied in order to achieve better classification results than base classifiers. In this paper an algorithm for integration of decision trees is proposed, which means that homogeneous base classifiers will be used. The novelty of the presented approach is the usage of the simultaneous distance of the object from the decision boundary and the center of mass of objects belonging to one class label in order to determine the score functions of base classifiers. This means that the score function assigned to the class label by each classifier depends on the distance of the classified object from the decision boundary and from the centroid. The algorithm was evaluated using an open-source benchmarking dataset. The results indicate an improvement in the classification quality in comparison to the referential method - majority voting method.
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Zhang, Hongjun, Chengxiang Yin, Xiuli Qi, Rui Zhang, and Xingdang Kang. "Cognitive Best Worst Method for Multiattribute Decision-Making." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1092925.

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Pairwise comparison based multiattribute decision-making (MADM) methods are widely used and studied in recent years. However, the perception and cognition towards the semantic representation for the linguistic rating scale and the way in which the pairwise comparisons are executed are still open to discuss. The commonly used ratio scale is likely to produce misapplications and the matrix based comparison style needs too many comparisons and is not able to guarantee the consistency of the matrix when the number of objects involved is large. This research proposes a new MADM method CBWM (Cognitive Best Worst Method) which adopts interval scale to represent the pairwise difference and only compares each object to the best object and the worst object rather than all the other objects. CBWM is a vector based method which only needs 2n-3 pairwise comparisons and is more likely to generate consistent comparisons and reliable results. The theoretical analysis and a real world application demonstrate the effectiveness of CBWM.
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Huang, Zhili, Qiang He, Qinglan Chen, and Hongge Yue. "Hamming Similarity Programming Model for Multi-Attribute Decision-Making Objects with Attribute Values as Interval Numbers and Its Application." Symmetry 14, no. 10 (October 19, 2022): 2203. http://dx.doi.org/10.3390/sym14102203.

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With regard to the interval number-based uncertain multi-attribute decision making problem, in which the attribute weights are unknown and there is no preference on decision-making alternative objects, this paper presents a new decision-making approach. In this method, Hamming distance firstly is used to define the Hamming similarity degree of normative interval numbers, and the Hamming similarity degree of decision-making alternative objects, and then the Hamming similarity superiority relation theory to the comparison of interval numbers is proposed and some relevant results are obtained. Thus, by drawing on the idea of deviations maximization, an interval number-based decision-making object Hamming similarity programming model (IN-DMOHSPM) is established to calculate and solve the weight vector of attributes. Next, all of the selected alternative objects set is screened and sorted by using the overall Hamming similarity degree of each decision-making object compared with the ideal optimal object, and a new algorithm of Hamming similarity programming model for interval number-based multiple attribute decision-making objects is presented. Finally, the feasibility and utility of this model used in this paper are demonstrated by a numerical example.
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Arseniev, Vladimir, and Andrei Yadrenkin. "Selection of a given space object from the multitude observed by a specialized spacecraft." Information and Control Systems, no. 2 (May 11, 2022): 11–19. http://dx.doi.org/10.31799/1684-8853-2022-2-11-19.

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Introduction: For the detection of most dangerous artificial space objects (space junk) in near-earth space, it is planned to use specialized spacecraft equipped with optoelectronic devices. In relation to this a problem arose when selecting the most dangerous object from the observed multitude, based on the measurements of inhomogeneous selective features that characterize these objects. Purpose: To form a composite non-dimensional indicator that depends on the quantity and quality of measurement information about the observed space objects, and that determines the decision rule for selecting the most dangerous object to maximize the probability of making the right decision. Results: A method is proposed for selecting the most dangerous space object under the condition of the limited amount of measurement information about physically inhomogeneous selective features of space objects located in the area which is observed by a specialized spacecraft. It should be noted that the measurement data on individual selective features of space objects may be absent. The proposed decision rule for the selection of the most dangerous space object takes into account not only inaccuracies and errors, but also the number of measurements of the selective characteristics of each object. The efficiency of the method has been demonstrated on a relevant example. Practical relevance: The simplicity of the determination of composite indicators characterizing space objects that are located in the area observed by a specialized spacecraft, and of the decision rule for selecting the most dangerous object makes it possible to solve this problem on board a specialized spacecraft in real time.
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Sari, Dola Permata, Marwan Usman, and Rose Rahmidani. "PENGARUH BAURAN PEMASARAN JASA TERHADAP KEPUTUSAN BERKUNJUNG WISATAWAN PADA OBJEK WISATA WATERBOOM DI KOTA SAWAHLUNTO." Jurnal Ecogen 1, no. 4 (December 21, 2018): 123. http://dx.doi.org/10.24036/jmpe.v1i1.4731.

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The purpose of this research is to know the influence of product, price, promotion, place, physical evidence, employee, process, productivity and quality to decision of tourist visiting at Waterboom tourist object. This type of research is causative. The population in this study is all tourists who visit the tourism object that is Waterboom in Sawahlunto city. The number of research samples was determined based on Cochran formula of 100 people and was chosen by using accidental sampling technique. The data that are used are the primary obtained through the distribution of questionnaires to selected tourists. The analytical method used is descriptive and quantitative analysis through path analysis. The results of this study indicate that: (1) The product has a significant influence on the tourist visiting decision on Waterboom tourism object, (2) Price has no significant effect on tourist visiting decision at Waterboom tourist object, (3) Promotion has no significant effect on tourist visiting decision on Waterboom tourism object, (4) Place has no significant effect on the tourist visiting decision on the Waterboom tourist object, (5) Physical evidence has a significant effect on the decision of tourists visiting the tourist object, that is Waterboom, (6) Employees have no significant effect on tourist visiting decisions on Waterboom tourist object, (7) The process has a significant influence on the decision of tourists visiting the tourist object that is Waterboom, (8) Productivity and quality significantly influence the decision of tourists visiting the Waterboom tourist object.Keywords: Visiting Decision, Product, Price, Promotion, Place, Physical Evidence, Employee, Process, and Productivity and Quality
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Dissertations / Theses on the topic "Object decision"

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Li, Xiaobo 1976. "Decision support systems using object-oriented technology." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86539.

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Olafsson, Björgvin. "Partially Observable Markov Decision Processes for Faster Object Recognition." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-198632.

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Object recognition in the real world is a big challenge in the field of computer vision. Given the potentially enormous size of the search space it is essential to be able to make intelligent decisions about where in the visual field to obtain information from to reduce the computational resources needed. In this report a POMDP (Partially Observable Markov Decision Process) learning framework, using a policy gradient method and information rewards as a training signal, has been implemented and used to train fixation policies that aim to maximize the information gathered in each fixation. The purpose of such policies is to make object recognition faster by reducing the number of fixations needed. The trained policies are evaluated by simulation and comparing them with several fixed policies. Finally it is shown that it is possible to use the framework to train policies that outperform the fixed policies for certain observation models.
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Lantz, Fredrik. "Terrain Object recognition and Context Fusion for Decision Support." Licentiate thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11926.

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Lo, Chih-Chung. "Using effect size in information fusion for identifying object presence and object quality /." free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9823330.

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MAPELLI, CRISTINA. "Object decision: the interaction of semantic information and structural description system." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2013. http://hdl.handle.net/10281/44696.

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In the neuropsychological literature, visual object recognition is deemed to be subserved by structural information that is functionally independent from semantic memory. According to this view, the perceptual representation of the stimulus is compared with representations of objects previously seen and stored in the so-called “Structural Description System”, or SDS; when matching between representations occurs, the corresponding conceptual knowledge is activated. Recently, the functional independence of SDS has been challenged based on the evidence that patients affected by Semantic Dementia, a neurodegenerative condition characterized by a selective disruption of semantic memory with sparing of the early stages of object recognition, are impaired at Object Decision tasks. In the present dissertation, we aimed at investigating whether object recognition could be achieved on the basis of structural features alone, or whether semantic knowledge about the object is also involved. To this aim we created two different Object Decision tasks and administered them to healthy young subjects, elderly normal controls and neurodegenerative patients. Our findings suggest that conceptual knowledge plays a crucial role in visual object recognition, and that semantic memory and the SDS are highly interactive.
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Golder, P. A. "CORD : an object model supporting statistical summary information for management decision making." Thesis, Aston University, 1997. http://publications.aston.ac.uk/7972/.

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Information systems have developed to the stage that there is plenty of data available in most organisations but there are still major problems in turning that data into information for management decision making. This thesis argues that the link between decision support information and transaction processing data should be through a common object model which reflects the real world of the organisation and encompasses the artefacts of the information system. The CORD (Collections, Objects, Roles and Domains) model is developed which is richer in appropriate modelling abstractions than current Object Models. A flexible Object Prototyping tool based on a Semantic Data Storage Manager has been developed which enables a variety of models to be stored and experimented with. A statistical summary table model COST (Collections of Objects Statistical Table) has been developed within CORD and is shown to be adequate to meet the modelling needs of Decision Support and Executive Information Systems. The COST model is supported by a statistical table creator and editor COSTed which is also built on top of the Object Prototyper and uses the CORD model to manage its metadata.
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Sandino, Mora Juan David. "Autonomous decision-making for UAVs operating under environmental and object detection uncertainty." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/232513/1/Juan%20David_Sandino%20Mora_Thesis.pdf.

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This study established a framework that increases cognitive levels in small UAVs (or drones), enabling autonomous navigation in partially observable environments. The UAV system was validated under search and rescue by locating victims last seen inside cluttered buildings and in bushlands. This framework improved the decision-making skills of the drone to collect more accurate statistics of detected victims. This study assists validation processes of detected objects in real-time when data is complex to interpret for UAV pilots and reduces human bias on scouting strategies.
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Liu, Dingfei. "An object-oriented approach to structuring multicriteria decision support in natural resource management problems." Doctoral thesis, University of Cape Town, 2001. http://hdl.handle.net/11427/4384.

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Includes bibliographical references.
The undertaking of MCDM (Multicriteria Decision Making) and the development of DSSs (Decision Support Systems) tend to be complex and inefficient, leading to low productivity in decision analysis and DSSs. Towards this end, this study has developed an approach based on object orientation for MCDM and DSS modelling, with the emphasis on natural resource management. The object-oriented approach provides a philosophy to model decision analysis and DSSs in a uniform way, as shown by the diagrams presented in this study. The solving of natural resource management decision problems, the MCDM decision making procedure and decision making activities are modelled in an object-oriented way. The macro decision analysis system, its DSS, the decision problem, the decision context, and the entities in the decision making procedure are represented as "objects". The object-oriented representation of decision analysis also constitutes the basis for the analysis ofDSSs.
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Tao, Cheng. "Decision-Making Support by a Value-Driven Design Model." Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11881.

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This thesis analyses the use of value models as boundary objects to support decision making during conceptual design of Product-Service Systems. Compared to requirements-based models, value models are claimed to enhance understanding of the design problems and customer needs, as well as to help the design team in creating more value adding solutions. The work of this thesis was to prepare, conduct and analyse a series of design experiments, which are are based on the continuous observations of designers’ verbalized design considerations. Protocol analysis was conducted to investigate how value models perform as boundary objects in design, in comparison with requirements-based models. The time spent on each different activity in the protocol has been used as main proxy in the experiment. Data triangulation was ensured by the use of a questionnaire that was answered by all participants. Both methods revealed that in the preliminary phase, value models are more effective than requirements-based models in conveying intuitive value-related information, assessing intangibles value aspects, and encouraging discussions on value concerns.
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Ehtiati, Tina. "Strongly coupled Bayesian models for interacting object and scene classification processes." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102975.

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In this thesis, we present a strongly coupled data fusion architecture within a Bayesian framework for modeling the bi-directional influences between the scene and object classification mechanisms. A number of psychophysical studies provide experimental evidence that the object and the scene perception mechanisms are not functionally separate in the human visual system. Object recognition facilitates the recognition of the scene background and also knowledge of the scene context facilitates the recognition of the individual objects in the scene. The evidence indicating a bi-directional exchange between the two processes has motivated us to build a computational model where object and scene classification proceed in an interdependent manner, while no hierarchical relationship is imposed between the two processes. We propose a strongly coupled data fusion model for implementing the feedback relationship between the scene and object classification processes. We present novel schemes for modifying the Bayesian solutions for the scene and object classification tasks which allow data fusion between the two modules based on the constraining of the priors or the likelihoods. We have implemented and tested the two proposed models using a database of natural images created for this purpose. The Receiver Operator Curves (ROC) depicting the scene classification performance of the likelihood coupling and the prior coupling models show that scene classification performance improves significantly in both models as a result of the strong coupling of the scene and object modules.
ROC curves depicting the scene classification performance of the two models also show that the likelihood coupling model achieves a higher detection rate compared to the prior coupling model. We have also computed the average rise times of the models' outputs as a measure of comparing the speed of the two models. The results show that the likelihood coupling model outputs have a shorter rise time. Based on these experimental findings one can conclude that imposing constraints on the likelihood models provides better solutions to the scene classification problems compared to imposing constraints on the prior models.
We have also proposed an attentional feature modulation scheme, which consists of tuning the input image responses to the bank of Gabor filters based on the scene class probabilities estimated by the model and the energy profiles of the Gabor filters for different scene categories. Experimental results based on combining the attentional feature tuning scheme with the likelihood coupling and the prior coupling methods show a significant improvement in the scene classification performances of both models.
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Books on the topic "Object decision"

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Goldberg, Adele. Succeeding with objects: Decision frameworks for project management. Reading, Mass: Addison-Wesley, 1995.

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Fundamentals of object tracking. Cambridge: Cambridge University Press, 2011.

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United States. Defense Advanced Research Projects Agency., ed. Building, learning, and tutoring tools for object-oriented simulation systems. Santa Monica, CA: Rand, 1987.

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Ying, Liu. A pattern directed approach towards an object adaptive decision support environment for water resources management. Delft: Delft University Press, 1995.

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International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. Tecumseh, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. Tecumseh, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (9th : 1997 : Baden-Baden, Germany), eds. Advances in database and expert systems: Design issues, data mining, object-oriented databases, generic model for knowledge bases, rapid database prototyping, knowledge-based tools in decision support systems. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 1997.

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Novosel'cev, Viktor, Sergey Kochedykov, Dar'ya Orlova, Kirill Plyuschik, L. Rossihina, and I. Goncharov. Conflict-active project management for the development of information security systems of infocommunication networks. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1921360.

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The object of study in the monograph is the conflict "information security system of infocommunication networks of critical socio-economic infrastructure objects — an attacker (criminal element)". The subject of the research is the development of a methodology for conflict-active project management for the development of information security systems for these networks, including models for supporting project decision-making. The theoretical basis of the above is the provisions of system analysis, the theory of management and decision-making, the theory of active systems, the theory of information security, the theory of mathematical modeling and conflict. It is intended for researchers and specialists dealing with the problems of ensuring information security of infocommunication networks of socio-economic profile objects. It will be useful for graduate students and undergraduates studying in the scientific specialty 2.3.6 "Methods and systems of information protection, information security".
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Steen, Andreassen, Engelbrecht R, Wyatt J, and European Society for Artificial Intelligence in Medicine., eds. Artificial intelligence in medicine: Proceedings of the 4th Conference on Artificial Intelligence in Medicine Europe, 3-6 October 1993. Amsterdam: IOS Press, 1993.

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Nassarawa State (Nigeria). Administrative Panel on the Stool of Osuko of Obi. Government views and decisions on the report of the Administrative Panel on the Stool of Osuko of Obi. [Lafia: s.n., 2003.

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Book chapters on the topic "Object decision"

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Riddoch, M. Jane, and Glyn W. Humphreys. "Object Decision Task." In Borb, 158–296. London: Psychology Press, 2022. http://dx.doi.org/10.4324/9781003069645-10.

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Spehr, Jens. "Object Recognition." In Studies in Systems, Decision and Control, 85–120. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11325-8_5.

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Ravat, Franck, and Olivier Teste. "Object-Oriented Decision Support System." In Enterprise Information Systems II, 42–48. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-1427-3_6.

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Moscowsky, A. D. "Extended Object Detection: Flexible Object Description System for Detection in Robotic Tasks." In Studies in Systems, Decision and Control, 27–43. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97004-8_3.

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Chaudhuri, Surajit, and Umeshwar Dayal. "Data warehousing and OLAP for decision support." In Deductive and Object-Oriented Databases, 33–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63792-3_6.

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Saleh, Hadi, Sergey Zykov, and Alexander Legalov. "Eolang: Toward a New Java-Based Object-Oriented Programming Language." In Intelligent Decision Technologies, 355–63. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2765-1_30.

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Laurent, Guillaume. "Online Learning for Micro-Object Manipulation." In Markov Decision Processes in Artificial Intelligence, 361–74. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557426.ch11.

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Nogin, Anton A., and Igor A. Konyakhin. "Optoelectronic SEMS for Preventing Object Destruction." In Studies in Systems, Decision and Control, 199–204. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32710-1_15.

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Hammouda, Ghassen, Atef Hammouda, and Dorra Sellami. "Complex Object Recognition Based on Multi-shape Invariant Radon Transform." In Intelligent Decision Technologies 2017, 13–22. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59424-8_2.

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Bieda, Robert, Rafal Grygiel, and Adam Galuszka. "Naive Kalman Filtering for 3D Object Orientation." In Studies in Systems, Decision and Control, 399–410. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21118-3_23.

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Conference papers on the topic "Object decision"

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Plataniotis, Georgios, Sybren de Kinderen, and Henderik A. Proper. "Relating Decisions in Enterprise Architecture Using Decision Design Graphs." In 2013 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2013). IEEE, 2013. http://dx.doi.org/10.1109/edoc.2013.23.

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Yoon, Yeo Jung, and Satyandra K. Gupta. "A Sequential Decision Making Approach to Learn Process Parameters by Conducting Experiments on Sacrificial Objects." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89810.

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Abstract Learning the right process parameters is essential to efficiently and safely execute tasks in automated manufacturing applications. When there is a risk of damaging the object, conducting experiments on sacrificial objects is a good option to explore the process parameters before performing the tasks on the object of interest. However, using too many sacrificial objects can incur unnecessary costs. We want to know the right amount of sacrificial objects to identify the right process parameters while keeping the expected task completion cost to a minimum. To do this, we use a sequential decision making approach to learn the process parameters. The sequential decision making approach we proposed is a combination of look ahead search, surrogate modeling, and a policy to select process parameters. In computation, the search tree simulates future decisions beyond the current decision and evaluates the costs by considering the effect of future experiments. The decision made in our approach only commits the user to the current stage and does not affect future decisions. When a decision is made to conduct experiments on the sacrificial object, the parameter policy to select process parameters should be simulated. In this policy, we consider the right trade-off between exploration and exploitation. In the beginning, the policy favors exploration since we do not have much data. In later stages, less exploration and more exploitation will be performed as we have sufficient number of experimental data. We validate our approach using the experimental setup of the robotic spray painting application.
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Zarghami, Alireza, Brahmananda Sapkota, Mohammad Zarifi Eslami, and Marten van Sinderen. "Decision as a Service: Separating Decision-making from Application Process Logic." In 2012 16th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2012). IEEE, 2012. http://dx.doi.org/10.1109/edoc.2012.21.

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Kong, Qing, and Qingzhong Li. "Object Distinction Based on Decision Tree." In 2009 International Conference on Information Technology and Computer Science (ITCS 2009). IEEE, 2009. http://dx.doi.org/10.1109/itcs.2009.91.

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Ward, Matthew O., and Wai P. Lam. "Object Recognition with Adaptive Decision Trees." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by David P. Casasent. SPIE, 1990. http://dx.doi.org/10.1117/12.969786.

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Damak, Wafa, Issam Rebai, and Imene Khanfir Kallel. "Semantic object recognition by merging decision tree with object ontology." In 2014 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, 2014. http://dx.doi.org/10.1109/atsip.2014.6834667.

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Ma, Juanjuan, Quan Pan, Jinwen Hu, Chunhui Zhao, Yaning Guo, and Dong Wang. "Small object detection with random decision forests." In 2017 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2017. http://dx.doi.org/10.1109/icus.2017.8278409.

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Sun, Yasheng, Tao He, Yinghong Peng, Jin Qi, and Jie Hu. "Prediction-Decision Network For Video Object Tracking." In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9191145.

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Yao, Jun, Yong Zhang, Fang Liu, and Yi-cong Liu. "Object Detection Based On Decision Level Fusion." In 2019 Chinese Automation Congress (CAC). IEEE, 2019. http://dx.doi.org/10.1109/cac48633.2019.8997222.

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Sun, Xian, Songhao Zhu, Dongliang Jin, Zhiwei Liang, and Guozheng Xu. "Tracklet association for object tracking." In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7530963.

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Reports on the topic "Object decision"

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Barnett, Barbara, Barry P. Goettl, Arthur F. Kramer, and Christopher D. Wickens. The Object Display in Decision Making and Judgment. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada227059.

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Johnson, R. An object-oriented approach to site characterization decision support. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/78721.

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Morrison, Clayton T., Paul R. Cohen, and Paola Sebastiani. On the Development of Visual Object Memory: The Stay/Go Decision Problem. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada461329.

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Bragdon, Sophia, Vuong Truong, and Jay Clausen. Environmentally informed buried object recognition. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/45902.

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The ability to detect and classify buried objects using thermal infrared imaging is affected by the environmental conditions at the time of imaging, which leads to an inconsistent probability of detection. For example, periods of dense overcast or recent precipitation events result in the suppression of the soil temperature difference between the buried object and soil, thus preventing detection. This work introduces an environmentally informed framework to reduce the false alarm rate in the classification of regions of interest (ROIs) in thermal IR images containing buried objects. Using a dataset that consists of thermal images containing buried objects paired with the corresponding environmental and meteorological conditions, we employ a machine learning approach to determine which environmental conditions are the most impactful on the visibility of the buried objects. We find the key environmental conditions include incoming shortwave solar radiation, soil volumetric water content, and average air temperature. For each image, ROIs are computed using a computer vision approach and these ROIs are coupled with the most important environmental conditions to form the input for the classification algorithm. The environmentally informed classification algorithm produces a decision on whether the ROI contains a buried object by simultaneously learning on the ROIs with a classification neural network and on the environmental data using a tabular neural network. On a given set of ROIs, we have shown that the environmentally informed classification approach improves the detection of buried objects within the ROIs.
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Chattaraman, Veena, Wi-Suk Kwon, Juan E. Gilbert, and Wanda Eugene. Human-Elaboration-Object-Construal Contingency Framework for Mobile Decision-Aids (MoDA©) in In-Store Shopping. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1436.

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Kuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2885.

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The purpose of the article is to study the possibilities of increasing the efficiency of a mathematical model by identifying the parameters of an object. A key factor for parametrization can be called the consideration of properties of the values of the model at a specific time point, which allows a deeper analysis of data dependencies and correlation between them. However, such a technique does not always work, because in advance it is impossible to predict that the parameters can be substantially optimized. In addition, it is necessary to take into account the fact that minimization reduces the values of parameters without taking into account their real physical properties. The correctness of the final values will be based on dynamically selected parameters, which allows you to modify the terms of use of the system in real time. In the development process, the values of experimentally obtained data with the model are compared, which allows you to understand the accuracy of minimization. When choosing the most relevant parameters, various minimization functions are used, which provides an opportunity to cover a wide range of theoretical initial situations. Verification of the correctness of the decision is carried out with the help of a quality function, which can identify the accuracy and correctness of the optimized parameters. It is possible to choose different types of functional quality, depending on the characteristics of the initial data. The presence of such tools during parametrization allows for varied analysis of the model, testing it on various algorithms, data volumes and conditions of guaranteed convergence of functional methods.
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Daza Garzón, Claudia Liliana. Toma de decisión estadística. Ediciones Universidad Cooperativa de Colombia, December 2022. http://dx.doi.org/10.16925/gcnc.31.

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La finalidad del presente material, de tipo académico, es concienciar y exhortar, a cualquier futuro profesional o a los que ya se encuentran en el ejercicio de su profesión, a ser objetivos en momentos de toma de decisión en un entorno cotidiano, laboral, científico o de índole profesional. Esta nota de clase se encuentra distribuida en tres partes: 1) conceptos generales de tipo estadístico y terminología específica sobre pruebas de hipótesis, 2) procedimiento de pruebas de hipótesis mediante el cálculo del estadístico de prueba y 3) desarrollo de situaciones que implican dicho proceso. Es de anotar que cada una de las partes por tratar se hará de forma sencilla y práctica y se restringirá al máximo la formalidad de los modelos de índole probabilístico y estadístico que se pudieran necesitar; únicamente nos dedicaremos a su uso de acuerdo con la necesidad de lo que se pretenda analizar. En la primera parte, la de los conceptos generales, se establece como una especie de glosario de términos, tanto estadísticos como específicos, sobre las pruebas de hipótesis, con el objeto de que cuando se llegue a la etapa del procedimiento, únicamente se nombren. En la segunda parte, se presenta el paso a paso, de índole universal, del procedimiento de pruebas de hipótesis, específicamente para muestras grandes o varianza poblacional conocida, mediante el cálculo del estadístico de prueba. Y en la última parte, se ejemplificará el procedimiento en dos escenarios específicos: uno cotidiano (o “casero”) y otro de índole académico, extraído de la interpretación, de tipo estadístico, de los resultados de las pruebas Saber Pro del 2021, donde se puede recrear fácilmente un escenario de toma de decisión estadística. Finalmente, el alcance de esta nota de clase es proporcionar el proceso de medición estadística para generar objetividad ante la presencia de una toma de decisiones que se pudiera presentar en cualquier momento y desde cualquier escenario.
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TOTROVA, Z. H. ON THE ISSUE OF WORLDVIEW AS AN INDICATOR OF PERSONAL DEVELOPMENT. Science and Innovation Center Publishing House, April 2022. http://dx.doi.org/10.12731/2077-1770-2021-14-1-2-38-46.

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The anthropological theme is updated during periods of paradigm instability, which is characteristic of the modern period of history. The purpose of the article is to consider the worldview as an indicator of personality development, which involves solving problems of defining concepts: personality, the structure of the worldview and the factors of its formation. Research methods are philosophical and general logical. Research results. Worldview, as the highest stage of human development, is characterized by consistency and theoretical justification. Among the factors that create a personality, the person himself is decisive, making himself the object of critical analysis, becoming a formative subject, which indicates his spiritual (personal) maturity.
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Razdan, Rahul. Unsettled Issues Regarding Autonomous Vehicles and Open-source Software. SAE International, April 2021. http://dx.doi.org/10.4271/epr2021009.

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As automobiles morph from stand-alone mechanical objects to highly connected, autonomous systems with increasing amounts of electronic components. To manage these complex systems, some semblance of in-car decision-making is also being built and networked to a cloud architecture. This cloud can also enable even deeper capabilities within the broader automotive ecosystem. Unsettled Issues Regarding Autonomous Vehicles and Open-source Software introduces the impact of software in advanced automotive applications, the role of open-source communities in accelerating innovation, and the important topic of safety and cybersecurity. As electronic functionality is captured in software and a bigger percentage of that software is open-source code, some critical challenges arise concerning security and validation.
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Yaremchuk, Olesya. TRAVEL ANTHROPOLOGY IN JOURNALISM: HISTORY AND PRACTICAL METHODS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11069.

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Our study’s main object is travel anthropology, the branch of science that studies the history and nature of man, socio-cultural space, social relations, and structures by gathering information during short and long journeys. The publication aims to research the theoretical foundations and genesis of travel anthropology, outline its fundamental principles, and highlight interaction with related sciences. The article’s defining objectives are the analysis of the synthesis of fundamental research approaches in travel anthropology and their implementation in journalism. When we analyze what methods are used by modern authors, also called «cultural observers», we can return to the localization strategy, namely the centering of the culture around a particular place, village, or another spatial object. It is about the participants-observers and how the workplace is limited in space and time and the broader concept of fieldwork. Some disciplinary practices are confused with today’s complex, interactive cultural conjunctures, leading us to think of a laboratory of controlled observations. Indeed, disciplinary approaches have changed since Malinowski’s time. Based on the experience of fieldwork of Svitlana Aleksievich, Katarzyna Kwiatkowska-Moskalewicz, or Malgorzata Reimer, we can conclude that in modern journalism, where the tools of travel anthropology are used, the practical methods of complexity, reflexivity, principles of openness, and semiotics are decisive. Their authors implement both for stable localization and for a prevailing transition.
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