An elementary proof of the Brouwer fixed point theorem

บทความในวารสาร

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Dhompongsa S., Kumam P.

ผู้เผยแพร่: Institute of Electrical and Electronics Engineers

ปีที่เผยแพร่ (ค.ศ.): 2019

วารสาร: IEEE Access (2169-3536)

Volume number: 17

Issue number: 2

หน้าแรก: 539

หน้าสุดท้าย: 542

จำนวนหน้า: 4

นอก: 2169-3536

eISSN: 2169-3536

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066624430&doi=10.1109%2fACCESS.2019.2917061&partnerID=40&md5=bb9dd4c0c4ae0df553d151309b051fc1

ภาษา: English-Great Britain (EN-GB)

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บทคัดย่อ

A rapid growth in the smart-wearable industry is making it increasingly important to cater to the quality of experience (QoE) requirements of the end users. In this paper, we try to model the relationship between human experience and quality perception in relation to the smart-wearable segment. For this, the concepts of quality of data (QoD) and quality of information (QoI) are used. While QoD is concerned with the accuracy and precision of the data collected by the smart-wearables, QoI relates to the useful information that is obtained from the raw data captured by the devices via the companion applications of each wearable installed on a smartphone. A subjective experiment comprising of 40 participants and 5 wearable devices is performed in a free-living condition in order to create the QoE model. Four different approaches for weight determination are presented in this paper: balanced weight distribution, correlation-based distribution, hybrid distribution, and priority-based distribution while proposing the QoE model. Our results show that the priority-based distribution approach performs slightly better than the rest of the techniques and has the best correlation to the subjective QoE when compared against others. Based on the results, the appropriate recommendations are provided to the different smart-wearable vendors for improving their products, thereby ensuring greater user adoption. ฉ 2013 IEEE.

คำสำคัญ

end-user perception, Internet of Things, quality of data, quality of experience, quality of information, Smart-wearables