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Volumn , Issue , 2013, Pages 59-64

Online estimation of the remaining energy capacity in mobile systems considering system-wide power consumption and battery characteristics

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE ESTIMATION; ACTIVITY INFORMATIONS; DESIGN SPACE EXPLORATION; RATE-CAPACITY EFFECTS; REMAINING ENERGIES; RUNNING APPLICATIONS; TARGET APPLICATION; TOTAL POWER DISSIPATION;

EID: 84877772175     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASPDAC.2013.6509559     Document Type: Conference Paper
Times cited : (27)

References (16)
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    • Shye, A.1
  • 2
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    • Accurate online power estimation and automatic battery behavior based power model generation for smartphones
    • L. Zhang and et al., "Accurate online power estimation and automatic battery behavior based power model generation for smartphones," in Proceedings of CODES+ISSS '10, 2010.
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  • 3
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    • Sesame: A self-constructive virtual power meter for batterypowered mobile systems
    • M. Dong and et al., "Sesame: A self-constructive virtual power meter for batterypowered mobile systems," in Tech. Rep., 2010.
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    • Dong, M.1
  • 4
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    • System-level online power estimation using an on-chip bus performance monitoring unit
    • Y. Kim and et al., "System-level online power estimation using an on-chip bus performance monitoring unit,," IEEE Trans. on CAD, 2011.
    • (2011) IEEE Trans. on CAD
    • Kim, Y.1
  • 6
    • 77951464790 scopus 로고    scopus 로고
    • Modeling power consumption of applications in wireless communication devices using os level profiles
    • T. Majima and et al., "Modeling power consumption of applications in wireless communication devices using os level profiles," in Proceedings of International SoC Design Conference, 2009.
    • (2009) Proceedings of International SoC Design Conference
    • Majima, T.1
  • 7
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    • An analytical model for predicting the remaining battery capacity of Lithium-ion batteries
    • P. Rong and et al., "An analytical model for predicting the remaining battery capacity of Lithium-ion batteries," IEEE Trans. on VLSI, 2006.
    • (2006) IEEE Trans. on VLSI
    • Rong, P.1
  • 8
    • 80052775521 scopus 로고    scopus 로고
    • Battery voltage modeling for portable systems
    • D. Rakhmatov, "Battery voltage modeling for portable systems," ACM TODAES, 2009.
    • (2009) ACM TODAES
    • Rakhmatov, D.1
  • 9
    • 0035472850 scopus 로고    scopus 로고
    • Discrete-time battery models for system-level low-power design
    • L. Benini and et al., "Discrete-time battery models for system-level low-power design," IEEE Trans. on VLSI, 2001.
    • (2001) IEEE Trans. on VLSI
    • Benini, L.1
  • 10
    • 33744765213 scopus 로고    scopus 로고
    • Accurate electrical battery model capable of predicting runtime and I-V performance
    • M. Chen and et al., "Accurate electrical battery model capable of predicting runtime and I-V performance," IEEE Trans. on Energy Conversion, 2006.
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    • Chen, M.1
  • 11
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  • 12
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    • Vtrack: Accurate, energy-aware road traffic delay estimation using mobile phones
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  • 15
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.