Recently,weak supervision has received growing attention in the field of salient object detection due to the convenience of ***,there is a large performance gap between weakly supervised and fully supervised salient o...
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Recently,weak supervision has received growing attention in the field of salient object detection due to the convenience of ***,there is a large performance gap between weakly supervised and fully supervised salient object detectors because the scribble annotation can only provide very limited foreground/background ***,an intuitive idea is to infer annotations that cover more complete object and background regions for *** this end,a label inference strategy is proposed based on the assumption that pixels with similar colours and close positions should have consistent ***,k-means clustering algorithm was first performed on both colours and coordinates of original annotations,and then assigned the same labels to points having similar colours with colour cluster centres and near coordinate cluster ***,the same annotations for pixels with similar colours within each kernel neighbourhood was set *** experiments on six benchmarks demonstrate that our method can significantly improve the performance and achieve the state-of-the-art results.
In the case of massive data,matrix operations are very computationally intensive,and the memory limitation in standalone mode leads to the system *** the same time,it is difficult for matrix operations to achieve flex...
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In the case of massive data,matrix operations are very computationally intensive,and the memory limitation in standalone mode leads to the system *** the same time,it is difficult for matrix operations to achieve flexible switching between different requirements when implemented in *** address this problem,this paper proposes a matrix operation accelerator based on reconfigurable arrays in the context of the application of recommender systems(RS).Based on the reconfigurable array processor(APR-16)with reconfiguration,a parallelized design of matrix operations on processing element(PE)array is realized with *** experimental results show that,compared with the proposed central processing unit(CPU)and graphics processing unit(GPU)hybrid implementation matrix multiplication framework,the energy efficiency ratio of the accelerator proposed in this paper is improved by about 35×.Compared with blocked alternating least squares(BALS),its the energy efficiency ratio has been accelerated by about 1×,and the switching of matrix factorization(MF)schemes suitable for different sparsity can be realized.
Database watermarking technologies provide an effective solution to data security problems by embedding the watermark in the database to prove copyright or trace the source of data ***,when the watermarked database is...
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Database watermarking technologies provide an effective solution to data security problems by embedding the watermark in the database to prove copyright or trace the source of data ***,when the watermarked database is used for data mining model building,such as decision trees,it may cause a different mining result in comparison with the result from the original database caused by the distortion of watermark *** watermarking algorithms mainly consider the statistical distortion of data,such as the mean square error,but very few consider the effect of the watermark on database ***,in this paper,a consistency preserving database watermarking algorithm is proposed for decision ***,label classification statistics and label state transfer methods are proposed to adjust the watermarked data so that the model structure of the watermarked decision tree is the same as that of the original decision ***,the splitting values of the decision tree are adjusted according to the defined constraint ***,the adjusted database can obtain a decision tree consistent with the original decision *** experimental results demonstrated that the proposed algorithm does not corrupt the watermarks,and makes the watermarked decision tree consistent with the original decision tree with a small distortion.
Currently,the video captioning models based on an encoder-decoder mainly rely on a single video input *** contents of video captioning are limited since few studies employed external corpus information to guide the ge...
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Currently,the video captioning models based on an encoder-decoder mainly rely on a single video input *** contents of video captioning are limited since few studies employed external corpus information to guide the generation of video captioning,which is not conducive to the accurate descrip-tion and understanding of video *** address this issue,a novel video captioning method guided by a sentence retrieval generation network(ED-SRG)is proposed in this ***,a ResNeXt network model,an efficient convolutional network for online video understanding(ECO)model,and a long short-term memory(LSTM)network model are integrated to construct an encoder-decoder,which is utilized to extract the 2D features,3D features,and object features of video data *** features are decoded to generate textual sentences that conform to video content for sentence ***,a sentence-transformer network model is employed to retrieve different sentences in an external corpus that are semantically similar to the above textual *** candidate sentences are screened out through similarity ***,a novel GPT-2 network model is constructed based on GPT-2 network *** model introduces a designed random selector to randomly select predicted words with a high probability in the corpus,which is used to guide and generate textual sentences that are more in line with human natural language *** proposed method in this paper is compared with several existing works by *** results show that the indicators BLEU-4,CIDEr,ROUGE_L,and METEOR are improved by 3.1%,1.3%,0.3%,and 1.5%on a public dataset MSVD and 1.3%,0.5%,0.2%,1.9%on a public dataset MSR-VTT *** can be seen that the proposed method in this paper can generate video captioning with richer semantics than several state-of-the-art approaches.
High-entropy oxides(HEOs)have received significant attention because of their tunable mechanical properties and wide range of functional ***,the conventional method used for sintering HEOs requires prolonged processin...
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High-entropy oxides(HEOs)have received significant attention because of their tunable mechanical properties and wide range of functional ***,the conventional method used for sintering HEOs requires prolonged processing time,which results in excessive grain growth,thereby compromising their ***,an ultrafast high-temperature sintering(UHS)strategy was adopted,and rock-salt composite(Mg_(0.2)Co_(0.2)Ni_(0.2)Cu_(0.2)Zn_(0.2))O was selected as model *** parameters were tuned to illustrate the influence of applied current and soaking time on the densification process and resulting grain ***,the electrochemical performance of UHS-synthesized microparticles as anode materials in lithium-ion batteries was *** results show that the ultrafast heating rate results in fine grains with a diameter of~6–8μm and density of 95%,which are much smaller and similar to those obtained using the conventional sintering method(25μm and 96%).Moreover,the high surface area and reactivity of the microparticles,as well as their sluggish diffusion effect and structural stability,contribute to outstanding performance with high capacity(336 mA·h/g at 1 A/g)and ultralong cyclability(1000 cycles).This novel technique offers valuable insights into the densification process of HEOs and other materials and can thus broaden their application range.
To apply a quasi-cyclic low density parity check(QC-LDPC)to different scenarios,a data-stream driven pipelined macro instruction set and a reconfigurable processor architecture are proposed for the typical QC-LDPC ***...
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To apply a quasi-cyclic low density parity check(QC-LDPC)to different scenarios,a data-stream driven pipelined macro instruction set and a reconfigurable processor architecture are proposed for the typical QC-LDPC *** data-level parallelism is improved by instructions to dynamically configure the multi-core computing ***,an intelligent adjustment strategy based on a programmable wake-up controller(WuC)is designed so that the computing mode,operating voltage,and frequency of the QC-LDPC algorithm can be *** adjustment can improve the computing efficiency of the *** QC-LDPC processors are verified on the xilinx ZCU102 field programmable gate array(FPGA)board and the computing efficiency is *** experimental results indicate that the QC-LDPC processor can support two encoding lengths of three typical QC-LDPC algorithms and 20 adaptive operating modes of operating voltage and *** maximum efficiency can reach up to 12.18 Gbit/(s·W),which is more flexible than existing state-of-the-art processors for QC-LDPC.
HIV/AIDS is one of the deadliest infectious diseases in the world, causing nearly one million deaths annually. In some countries, HIV/AIDS is the leading cause of death, especially in regions like South Africa. In the...
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Spark performs excellently in large-scale data-parallel computing and iterative processing. However, with the increase in data size and program complexity, the default scheduling strategy has difficulty meeting the de...
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This study aimed to investigate the effects of firefighters’protective gloves on physiological responses,psychological responses,and manual performance in a cold environment through human *** participants wearing fir...
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This study aimed to investigate the effects of firefighters’protective gloves on physiological responses,psychological responses,and manual performance in a cold environment through human *** participants wearing firefighter protective equipment were exposed to a 16℃ environment,while their hands were exposed to a small chamber of 0℃ with(FPG)and without(CON)firefighting protective *** the trials,physiological responses(core temperature(Tc),the mean skin temperature(Tsk),and heart rate(HR)),psychological responses(thermal sensation vote(TSV)and pain sensation vote(PSV)),and manual performance(handgrip strength,manual dexterity,maximum finger flexion,and tactile sensitivity)were *** results indicated a significant difference(p<0.05)between FPG and CON regarding ***,pain sensation occurred when the mean skin temperature of the hand was between 15℃ and 20℃.Gloves significantly(p<0.05)reduced handgrip strength,manual dexterity,and tactile sensitivity in the cold *** study provides fundamental knowledge for cold strain assessment and high-performance protective glove development with the potential to improve firefighters’safety and health.
The conjugation of external species with twodimensional(2D)materials has broad application *** this study,we have explored the potential of noble metal/2D MOF heterostructures in hydrogen ***,the MgH_(2)-Ni-MOF@Pd sys...
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The conjugation of external species with twodimensional(2D)materials has broad application *** this study,we have explored the potential of noble metal/2D MOF heterostructures in hydrogen ***,the MgH_(2)-Ni-MOF@Pd system has shown remarkable hydrogen desorption/sorption performances,starting to liberate hydrogen at 1810C,which is 2300C lower than that of pristine *** the catalytic effect of Ni-MOF@Pd,the dehydrogenation apparent activation energy of MgH2 is noticeably decreased from(133.5±17.5)to(34.58±1.87)kJ·moL^(-1),and the hydrogenation apparent activation energy is reduced from(70.41±7.43)to(25.78±4.64)kJ·moL^(-1),which is lowered by 63.4%.The fully-dehydrogenated MgH2-NiMOF@Pd composite rapidly uptakes hydrogen,with 2.62wt%at 100℃and 6.06 wt%at 150℃within 300 s,*** mechanism analysis of MgH2 catalyzed by Ni-MOF@Pd has revealed that the transformation of Mg_2Ni and Mg_2NiH_4 could act as a"hydrogen pump",providing numerous channels for fast diffusion and transport of hydrogen ***,in the dehydrogenation process,the element Pd reacts with MgH_(2)to form the MgPd alloy phase,which makes MgH_(2)take precedence to decompose through the Mg-Pd alloy rather than self-decomposition,further reducing thermal stability and improving de/hydrogenation *** synergistic effect of Mg-Pd,Mg_2Ni,and the special ultra-thin 2D sheet structure of the additive is the main reason for the good hydrogen storage property of MgH_(2)-Ni-MOF@*** findings provide inspiration for designing efficient multifunctional additives with unique morphologies to optimize the hydrogen desorption/sorption behaviors of hydrogen storage materials.
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