119 research outputs found

    Dynamic process fault isolation by partial DPCA

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    Principal component analysis (PCA) is a popular tool in fault detecting of the complex plant, but offers little support on fault isolation. Partial PCA (PPCA) is well developed for its capability of fault isolation utilizing a structured residual. In this paper, partial dynamic PCA(PDPCA) is proposed to enhance the isolation ability of dynamic process, which is a method combining PPCA and dynamic PCA. Simulation of PDPCA on a CSTR shows the effectiveness of the proposed method

    Multi-modal preference alignment remedies regression of visual instruction tuning on language model

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    In production, multi-modal large language models (MLLMs) are expected to support multi-turn queries of interchanging image and text modalities. However, the current MLLMs trained with visual-question-answering (VQA) datasets could suffer from degradation, as VQA datasets lack the diversity and complexity of the original text instruction datasets which the underlying language model had been trained with. To address this challenging degradation, we first collect a lightweight (6k entries) VQA preference dataset where answers were annotated by Gemini for 5 quality metrics in a granular fashion, and investigate standard Supervised Fine-tuning, rejection sampling, Direct Preference Optimization (DPO), and SteerLM. Our findings indicate that the with DPO we are able to surpass instruction-following capabilities of the language model, achieving a 6.73 score on MT-Bench, compared to Vicuna's 6.57 and LLaVA's 5.99 despite small data scale. This enhancement in textual instruction proficiency correlates with boosted visual instruction performance (+4.9\% on MM-Vet, +6\% on LLaVA-Bench), with minimal alignment tax on visual knowledge benchmarks compared to previous RLHF approach. In conclusion, we propose a distillation-based multi-modal alignment model with fine-grained annotations on a small dataset that reconciles the textual and visual performance of MLLMs, restoring and boosting language capability after visual instruction tuning

    Visualization of the entire process of rice spikelet infection by Ustilaginoidea virens through nondestructive inoculation

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    IntroductionRice false smut caused by Ustilaginoidea virens, is a destructive fungal disease encountered in many rice-producing areas worldwide. To determine the process by which U. virens infects rice spikelets in the field.MethodsThe green fluorescent protein-labeled U. virens was used as an inoculum to conduct artificial inoculation on rice at the booting stage via non-destructive panicle sheath instillation inoculation.ResultsThe results showed that the conidia of U. virens germinated on the surface of rice glumes and produced hyphae, which clustered at the mouth of rice glumes and entered the glumes through the gap between the palea and lemma. The conidia of U. virens colonized in rice floral organs, which led to pollen abortion of rice. U. virens wrapped the whole rice floral organ, and the floral organ-hyphae complex gradually expanded to open the glumes to form a rice false smut ball, which was two to three times larger than that observed in normal rice.DiscussionPanicle sheath instillation inoculation was shown to be a non-destructive inoculation method that could simulate the natural infection of U. virens in the field. The entire infection process of U. virens was visualized, providing a theoretical reference for formulating strategies to control rice false smut in the field

    The visibility of digital money : a video study of mobile payments using WeChat Pay

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    This paper analyses situated uses of digital payment platforms, contributing to the sociology of money, and digital sociology. Our data are video recordings of 256 small-scale transactions, gathered from across four Chinese cities, at grocery stores, supermarkets, street markets, restaurants, and cafes. Our focus is the visibility of money and we focus on a particular circumstance associated with some WeChat payments. In the cases we analyse, payment is made visible via a confirmation screen the customer alone sees. We argue payment applications provide a good empirical site for understanding how digital media reconfigure ‘the social’ by shaping how monetary information is seen and heard. Rather than eliminating trust, reducing transactions to impersonal semi-automated affairs, we show mobile payments generate new and complex patterns of economic action. A nuanced language game is described that requires sellers trust customers are acting in good faith. We show how ‘the social’ is imprinted on this contemporary monetary medium

    Lamb waves manipulation by piezoelectric metasurface with tunable diffraction orders

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    In this paper, a piezoelectric metasurface is proposed to manipulate the anti-symmetric mode Lamb wave by altering the diffraction order. The metasurface attached to a host plate is symmetrically arranged by out-of-plane polarized piezoelectric patches connected with synthetic inductance circuits. Without changing the physical configuration, the transmitted phase of the anti-symmetric mode Lamb wave can be shifted arbitrarily in 0 ∼ 2π range by the metasurface. Furthermore, the relationship between the phase gradient and diffraction order is investigated, and different orders of diffraction waves can be obtained by adjusting the shunting inductance circuits. The symmetric transmission and asymmetric transmission from a couple of axis symmetric incident waves can be realized by utilizing +1st-order and −1st-order diffraction. Moreover, omnidirectional wave reflection and wave trapping in channelized waveguides can also be realized by utilizing the 0th-order diffraction. The results indicate that the proposed piezoelectric metasurface has great potentials in manipulating guided waves with a large incident angle and isolating wave propagation
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