Search results for: Poom Kumam

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Kumam</title> <meta name="description" content="Search results for: Poom Kumam"> <meta name="keywords" content="Poom Kumam"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Poom Kumam"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 4</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Poom Kumam</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Algorithms for Computing of Optimization Problems with a Common Minimum-Norm Fixed Point with Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Apirak%20Sombat">Apirak Sombat</a>, <a href="https://publications.waset.org/abstracts/search?q=Teerapol%20Saleewong"> Teerapol Saleewong</a>, <a href="https://publications.waset.org/abstracts/search?q=Poom%20Kumam"> Poom Kumam</a>, <a href="https://publications.waset.org/abstracts/search?q=Parin%20Chaipunya"> Parin Chaipunya</a>, <a href="https://publications.waset.org/abstracts/search?q=Wiyada%20Kumam"> Wiyada Kumam</a>, <a href="https://publications.waset.org/abstracts/search?q=Anantachai%20Padcharoen"> Anantachai Padcharoen</a>, <a href="https://publications.waset.org/abstracts/search?q=Yeol%20Je%20Cho"> Yeol Je Cho</a>, <a href="https://publications.waset.org/abstracts/search?q=Thana%20Sutthibutpong"> Thana Sutthibutpong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research is aimed to study a two-step iteration process defined over a finite family of σ-asymptotically quasi-nonexpansive nonself-mappings. The strong convergence is guaranteed under the framework of Banach spaces with some additional structural properties including strict and uniform convexity, reflexivity, and smoothness assumptions. With similar projection technique for nonself-mapping in Hilbert spaces, we hereby use the generalized projection to construct a point within the corresponding domain. Moreover, we have to introduce the use of duality mapping and its inverse to overcome the unavailability of duality representation that is exploit by Hilbert space theorists. We then apply our results for σ-asymptotically quasi-nonexpansive nonself-mappings to solve for ideal efficiency of vector optimization problems composed of finitely many objective functions. We also showed that the obtained solution from our process is the closest to the origin. Moreover, we also give an illustrative numerical example to support our results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asymptotically%20quasi-nonexpansive%20nonself-mapping" title="asymptotically quasi-nonexpansive nonself-mapping">asymptotically quasi-nonexpansive nonself-mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=strong%20convergence" title=" strong convergence"> strong convergence</a>, <a href="https://publications.waset.org/abstracts/search?q=fixed%20point" title=" fixed point"> fixed point</a>, <a href="https://publications.waset.org/abstracts/search?q=uniformly%20convex%20and%20uniformly%20smooth%20Banach%20space" title=" uniformly convex and uniformly smooth Banach space"> uniformly convex and uniformly smooth Banach space</a> </p> <a href="https://publications.waset.org/abstracts/58622/algorithms-for-computing-of-optimization-problems-with-a-common-minimum-norm-fixed-point-with-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58622.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">260</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Decision-Making using Fuzzy Linguistic Hypersoft Set Topology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Saqlain">Muhammad Saqlain</a>, <a href="https://publications.waset.org/abstracts/search?q=Poom%20Kumam"> Poom Kumam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Language being an abstract system and creative act, is quite complicated as its meaning varies depending on the context. The context is determined by the empirical knowledge of a person, which is derived from observation and experience. About further subdivided attributes, the decision-making challenges may entail quantitative and qualitative factors. However, because there is no norm for putting a numerical value on language, existing approaches cannot carry out the operations of linguistic knowledge. The assigning of mathematical values (fuzzy, intuitionistic, and neutrosophic) to any decision-making problem; without considering any rule of linguistic knowledge is ambiguous and inaccurate. Thus, this paper aims to provide a generic model for these issues. This paper provides the linguistic set structure of the fuzzy hypersoft set (FLHSS) to solve decision-making issues. We have proposed the definition some basic operations like AND, NOT, OR, AND, compliment, negation, etc., along with Topology and examples, and properties. Secondly, the operational laws for the fuzzy linguistic hypersoft set have been proposed to deal with the decision-making issues. Implementing proposed aggregate operators and operational laws can be used to convert linguistic quantifiers into numerical values. This will increase the accuracy and precision of the fuzzy hypersoft set structure to deal with decision-making issues. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=linguistic%20quantifiers" title="linguistic quantifiers">linguistic quantifiers</a>, <a href="https://publications.waset.org/abstracts/search?q=aggregate%20operators" title=" aggregate operators"> aggregate operators</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision%20making%20%28mcdm%29." title=" multi-criteria decision making (mcdm)."> multi-criteria decision making (mcdm).</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20topology" title=" fuzzy topology"> fuzzy topology</a> </p> <a href="https://publications.waset.org/abstracts/164348/decision-making-using-fuzzy-linguistic-hypersoft-set-topology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164348.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">97</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Hybrid Deep Learning and FAST-BRISK 3D Object Detection Technique for Bin-Picking Application</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thanakrit%20Taweesoontorn">Thanakrit Taweesoontorn</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarucha%20Yanyong"> Sarucha Yanyong</a>, <a href="https://publications.waset.org/abstracts/search?q=Poom%20Konghuayrob"> Poom Konghuayrob</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Robotic arms have gained popularity in various industries due to their accuracy and efficiency. This research proposes a method for bin-picking tasks using the Cobot, combining the YOLOv5 CNNs model for object detection and pose estimation with traditional feature detection (FAST), feature description (BRISK), and matching algorithms. By integrating these algorithms and utilizing a small-scale depth sensor camera for capturing depth and color images, the system achieves real-time object detection and accurate pose estimation, enabling the robotic arm to pick objects correctly in both position and orientation. Furthermore, the proposed method is implemented within the ROS framework to provide a seamless platform for robotic control and integration. This integration of robotics, cameras, and AI technology contributes to the development of industrial robotics, opening up new possibilities for automating challenging tasks and improving overall operational efficiency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=robotic%20vision" title="robotic vision">robotic vision</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20processing" title=" image processing"> image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=applications%20of%20robotics" title=" applications of robotics"> applications of robotics</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligent" title=" artificial intelligent"> artificial intelligent</a> </p> <a href="https://publications.waset.org/abstracts/176550/hybrid-deep-learning-and-fast-brisk-3d-object-detection-technique-for-bin-picking-application" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176550.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">96</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Elevating User Experience for Thailand Drivers: Dashboard Design Analysis in Electric Vehicles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Poom%20Thiparapkul">Poom Thiparapkul</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanat%20Jiravansirikul"> Tanat Jiravansirikul</a>, <a href="https://publications.waset.org/abstracts/search?q=Pakpoom%20Thongsari"> Pakpoom Thongsari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study explores the design of electric vehicle (EV) dashboards with a focus on user interaction. Findings from a Thai sample reveal a preference for physical buttons over touch interfaces due to their immediate feedback. Touchscreens lack this assurance, leading to potential uncertainty. Users' smartphone experiences create a learning curve that doesn't translate well to in-car touch systems. Gender-wise, females exhibit slightly longer decision times. Designing EV dashboards should consider these factors, prioritizing user experience while avoiding overreliance on smartphone principles. A successful example is Subaru XV's design, which calculates screen angles and button positions for targeted users. In summary, EV dashboards should be intuitive, minimize touch dependency, and accommodate user habits. Balancing modernity with functionality can enhance driving experiences while ensuring safety. A user-centered approach, acknowledging gender differences, will yield efficient and safe driving environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=user%20experience%20design" title="user experience design">user experience design</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20experience" title=" user experience"> user experience</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title=" electric vehicle"> electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=dashboard%20design" title=" dashboard design"> dashboard design</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand%20driver." title=" Thailand driver."> Thailand driver.</a> </p> <a href="https://publications.waset.org/abstracts/175020/elevating-user-experience-for-thailand-drivers-dashboard-design-analysis-in-electric-vehicles" class="btn btn-primary 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Search results for: Poom Kumam