Network partition and its application to distributed selection problem

[[abstract]]The authors discuss the network partition and the distributed selection problems for a general tree network. The distributed selection problem is to select the k-th smallest element of a set N of elements distributed among nodes of a point-to-point asynchronous communication network. The distributed algorithms considered are primarily message driven. All the messages have a fixed length, and may carry only a limited amount of information. The authors assume the network is sufficiently reliable so that the messages sent in a link are received error free by the receiver node in first-in-first-out (FIFO) order with finite but totally unpredictable delays. The authors present an improved selection algorithm for general tree networks. Based on the conventional reduction strategy, they introduce a tree partition technique to localize the message passing and therefore to reduce the total message complexity[[fileno]]2020416030006[[department]]工工

Predicting Bus Travel Time with Hybrid Incomplete Data – A Deep Learning Approach

The application of predicting bus travel time with real-time information, including Global Positioning System (GPS) and Electronic Smart Card (ESC) data is effective to advance the level of service by reducing wait time and improving schedule adherence. However, missing information in the data stream is inevitable for various reasons, which may seriously affect prediction accuracy. To address this problem, this research proposes a Long Short-Term Memory (LSTM) model to predict bus travel time, considering incomplete data. To improve the model performance in terms of accuracy and efficiency, a Genetic Algorithm (GA) is developed and applied to optimise hyperparameters of the LSTM model. The model performance is assessed by simulation and real-world data. The results suggest that the proposed approach with hybrid data outperforms the approaches with ESC and GPS data individually. With GA, the proposed model outperforms the traditional one in terms of lower Root Mean Square Error (RMSE). The prediction accuracy with various combinations of ESC and GPS data is assessed. The results can serve as a guideline for transit agencies to deploy GPS devices in a bus fleet considering the market penetration of ESC

In vitro callus induction and plant regeneration from mature seed embryo and young shoots in a giant sympodial bamboo, Dendrocalamus farinosus (Keng et Keng f.) Chia et H.L. Fung

The method for callus induction, adventitious shoot induction and plant regeneration derived from mature embryos of the seed and young shoots in Dendrocalamus farinosus was examined. For young shoots, the lowest callus induction frequency (21.0 to 29.7%) was obtained and the induced callus became brown and perished after two weeks. For mature embryos of the seed, an efficient protocol for callus induction, adventitious shoot induction and plant regeneration was developed. The best callus induction medium for mature embryos was observed to be Murashige and Skoog (MS) supplemented with 2.0 mg l-1 2,4,5-trichlorophenoxyacetic acid (2,4,5-T) in combination with 0.2 mg l-1 kinetin (Kn) plus 0.4 mg l-1 indole-3-butyric acid (IBA). Callus induction frequency was 95%. The highest adventitious shoot induction frequency (91.2 ± 2.18%) was obtained on MS medium supplemented with 2.5 mg l-1 kn plus 0.5 mg l-1 indole-3-acetic acid (IAA). The regenerated adventitious shoots were rooted in vitro on MS medium with 0.4 mg l-1 IBA plus 0.25 mg l-1 IAA. Rooted plantlets successfully acclimatized to the greenhouse and 90.1% survived after being transplanted to plastic pots (measuring 30 cm in  diameter) with garden soil.Key words: Callus culture, plant regeneration, making-pulp use, Dendrocalamus farinosus

Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment

Word translation without parallel corpora has become feasible, rivaling the performance of supervised methods. Recent findings have shown that the accuracy and robustness of unsupervised word translation (UWT) can be improved by making use of visual observations, which are universal representations across languages. In this work, we investigate the potential of using not only visual observations but also pretrained language-image models for enabling a more efficient and robust UWT. Specifically, we develop a novel UWT method dubbed Word Alignment using Language-Image Pretraining (WALIP), which leverages visual observations via the shared embedding space of images and texts provided by CLIP models (Radford et al., 2021). WALIP has a two-step procedure. First, we retrieve word pairs with high confidences of similarity, computed using our proposed image-based fingerprints, which define the initial pivot for the word alignment. Second, we apply our robust Procrustes algorithm to estimate the linear mapping between two embedding spaces, which iteratively corrects and refines the estimated alignment. Our extensive experiments show that WALIP improves upon the state-of-the-art performance of bilingual word alignment for a few language pairs across different word embeddings and displays great robustness to the dissimilarity of language pairs or training corpora for two word embeddings.Comment: In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings

Coating for fabrics with nano tube-panis and the properties of conducting and shielding microwave

2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Silver nanowire-based transparent, flexible, and conductive thin film

The fabrication of transparent, conductive, and uniform silver nanowire films using the scalable rod-coating technique is described in this study. Properties of the transparent conductive thin films are investigated, as well as the approaches to improve the performance of transparent silver nanowire electrodes. It is found that silver nanowires are oxidized during the coating process. Incubation in hydrogen chloride (HCl) vapor can eliminate oxidized surface, and consequently, reduce largely the resistivity of silver nanowire thin films. After HCl treatment, 175 Ω/sq and approximately 75% transmittance are achieved. The sheet resistivity drops remarkably with the rise of the film thickness or with the decrease of transparency. The thin film electrodes also demonstrated excellent flexible stability, showing < 2% resistance change after over 100 bending cycles

Electric-field-induced alignment of electrically neutral disk-like particles: modelling and calculation

This work reveals a torque from electric field to electrically neutral flakes that are suspended in a higher electrical conductive matrix. The torque tends to rotate the particles toward an orientation with its long axis parallel to the electric current flow. The alignment enables the anisotropic properties of tiny particles to integrate together and generate desirable macroscale anisotropic properties. The torque was obtained from thermodynamic calculation of electric current free energy at various microstructure configurations. It is significant even when the electrical potential gradient becomes as low as 100 v/m. The changes of electrical, electroplastic and thermal properties during particles alignment were discussed

A review of physical supply and EROI of fossil fuels in China

This paper reviews China’s future fossil fuel supply from the perspectives of physical output and net energy output. Comprehensive analyses of physical output of fossil fuels suggest that China’s total oil production will likely reach its peak, at about 230 Mt/year (or 9.6 EJ/year), in 2018; its total gas production will peak at around 350 Bcm/year (or 13.6 EJ/year) in 2040, while coal production will peak at about 4400 Mt/year (or 91.9 EJ/year) around 2020 or so. In terms of the forecast production of these fuels, there are significant differences among current studies. These differences can be mainly explained by different ultimately recoverable resources assumptions, the nature of the models used, and differences in the historical production data. Due to the future constraints on fossil fuels production, a large gap is projected to grow between domestic supply and demand, which will need to be met by increasing imports. Net energy analyses show that both coal and oil and gas production show a steady declining trend of EROI (energy return on investment) due to the depletion of shallow-buried coal resources and conventional oil and gas resources, which is generally consistent with the approaching peaks of physical production of fossil fuels. The peaks of fossil fuels production, coupled with the decline in EROI ratios, are likely to challenge the sustainable development of Chinese society unless new abundant energy resources with high EROI values can be found