Near-infrared spectroscopy(NIRS)in the range 900-1700 nm was performed to develop a clas-sifying model for dead seeds of mung bean using single kernel measurements.The use of the combination of transmission-absorption...Near-infrared spectroscopy(NIRS)in the range 900-1700 nm was performed to develop a clas-sifying model for dead seeds of mung bean using single kernel measurements.The use of the combination of transmission-absorption spectra and refection-absorption spectra was deter-mined to yield a better classification performance(87.88%)than the use of only transmission-absorption spectra(81.31%).The effect of the orientation of the mung bean with respect to the light source on its absorbance was investigated.The results showed that hilum-down orientation exhibited the highest absorbance compared to the hilum-up and hilum-parallel-to-ground orientations.We subsequently examined the spectral information related to the seed orientation by developing a classifying model for seed orientation.The wavelengths associated with classi-fication based on seed orientation were obt ained.Finally,we determined that the re-developed classifying model excluding the wavelengths related to the seed orientation afforded better ac-curacy(89.39%)than that using the entire wavelength range(87.88%).展开更多
Hardware/software partitioning is an essential step in hardware/software co-design.For large size problems,it is difficult to consider both solution quality and time.This paper presents an efficient GPU-based parallel...Hardware/software partitioning is an essential step in hardware/software co-design.For large size problems,it is difficult to consider both solution quality and time.This paper presents an efficient GPU-based parallel tabu search algorithm(GPTS)for HW/SW partitioning.A single GPU kernel of compacting neighborhood is proposed to reduce the amount of GPU global memory accesses theoretically.A kernel fusion strategy is further proposed to reduce the amount of GPU global memory accesses of GPTS.To further minimize the transfer overhead of GPTS between CPU and GPU,an optimized transfer strategy for GPU-based tabu evaluation is proposed,which considers that all the candidates do not satisfy the given constraint.Experiments show that GPTS outperforms state-of-the-art work of tabu search and is competitive with other methods for HW/SW partitioning.The proposed parallelization is significant when considering the ordinary GPU platform.展开更多
基金the aegis of the Royal Golden Jubilee Ph.D.Program(Grant No.PHD/0173/2554)and the Kasetsart University Research and Development Institute(KURDIresearch code:36.58)for theirnancial support of this research.
文摘Near-infrared spectroscopy(NIRS)in the range 900-1700 nm was performed to develop a clas-sifying model for dead seeds of mung bean using single kernel measurements.The use of the combination of transmission-absorption spectra and refection-absorption spectra was deter-mined to yield a better classification performance(87.88%)than the use of only transmission-absorption spectra(81.31%).The effect of the orientation of the mung bean with respect to the light source on its absorbance was investigated.The results showed that hilum-down orientation exhibited the highest absorbance compared to the hilum-up and hilum-parallel-to-ground orientations.We subsequently examined the spectral information related to the seed orientation by developing a classifying model for seed orientation.The wavelengths associated with classi-fication based on seed orientation were obt ained.Finally,we determined that the re-developed classifying model excluding the wavelengths related to the seed orientation afforded better ac-curacy(89.39%)than that using the entire wavelength range(87.88%).
基金This paper was supported by the National Natural Science Foundation of China(Grant No.61472289)National Key Research and Development Project(2016YFC0106305).We also would like to thank the anonymous reviewers for their valuable and constructive comments.
文摘Hardware/software partitioning is an essential step in hardware/software co-design.For large size problems,it is difficult to consider both solution quality and time.This paper presents an efficient GPU-based parallel tabu search algorithm(GPTS)for HW/SW partitioning.A single GPU kernel of compacting neighborhood is proposed to reduce the amount of GPU global memory accesses theoretically.A kernel fusion strategy is further proposed to reduce the amount of GPU global memory accesses of GPTS.To further minimize the transfer overhead of GPTS between CPU and GPU,an optimized transfer strategy for GPU-based tabu evaluation is proposed,which considers that all the candidates do not satisfy the given constraint.Experiments show that GPTS outperforms state-of-the-art work of tabu search and is competitive with other methods for HW/SW partitioning.The proposed parallelization is significant when considering the ordinary GPU platform.
