• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.945-961
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• 2019

Tongue diagnosis is one of the most important diagnostic methods in Traditional Chinese Medicine (TCM). Tongue image segmentation aims to extract the image object (i.e., tongue body), which plays a key role in the process of manufacturing an automated tongue diagnosis system. It is still challenging, because there exists the personal diversity in tongue appearances such as size, shape, and color. This paper proposes an innovative segmentation method that uses image thresholding, gray projection and active contour model (ACM). Specifically, an initial object region is first extracted by performing image thresholding in HSI (i.e., Hue Saturation Intensity) color space, and subsequent morphological operations. Then, a gray projection technique is used to determine the upper bound of the tongue body root for refining the initial object region. Finally, the contour of the refined object region is smoothed by ACM. Experimental results on a dataset composed of 100 color tongue images showed that the proposed method obtained more accurate segmentation results than other available state-of-the-art methods.

• Industry Promotion Research
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• v.6 no.1
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• pp.87-93
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• 2021

Qi Baishi is a prolific master of modern Chinese painting in the 20th century and a profound influence on modern Chinese painting. With a lifetime of diligence and pursuit, he brought the development of traditional Chinese literati painting to the palace of world art. Qi Baishi's paintings have very different styles and rich connotations. There is a childlike "Plantain Crowd", which is childish but full of interest. There is also a simple and old-fashioned "Peony" in the late years, vigorous and powerful, moving heartstrings. There is also the irony of the present world, refuting the ugly "Tumbler", which is thought-provoking. Of course, the most worthy of study is Qi Baishi's landscape paintings. His landscape paintings surpassed their era and have unique historical value in the transformation of modern Chinese landscape painting. He was one of the pioneers of the transformation of Chinese landscape painting in the 20th century. In this article, through the research and collation of Qi Baishi's landscape paintings, the characteristics of Qi Baishi's landscape paintings and their surpassing of the times are discovered.

• Journal of English Language & Literature
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• v.64 no.2
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• pp.171-185
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• 2018

Students and other new readers of modernist poetry often experience difficulty with the influential early work of Ezra Pound. Although these typically brief poems may appear (deceptively) simple, an understanding of the relationship between Imagism and Vorticism is crucial to reading-or teaching-them effectively, which in turn requires significant familiarity with relevant poetics theories as well as representative poems. This essay clarifies the complex relations Imagism and Vorticism as two distinct styles that are too often conflated to the detriment of an accurate understanding of either one (and, in consequence, of the later modernist poetry that builds on their discoveries). In order to elucidate the modernists' justification of free verse over traditional metrical composition, I begin with an elaboration of T. E. Hulme's 1911 theory of the "cheerful, dry, and sophisticated" modern classicism on which both Imagism and Vorticism were largely predicated, developing Hulme's important distinction between the version of classicism that is "static" (and gives rise to Imagism) and the one that is "dynamic" (and leads to Vorticism and beyond it). In the following two sections, I draw upon and synthesize a broad range of Pound's own poetics statements to reveal the evolution of first sound ("melopoeia") and then the image ("phanopoeia") throughout his early work. Although the body of this article is analytical and historical in nature, it concludes with a practical template prompt for a creative response assignment, appropriate to undergraduate and graduate students, designed to help new readers recognize for themselves how Vorticist art works and why it matters.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.136-150
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• 2021

The modern market is highly competitive. It has progressed from traditional competition between enterprises to competition between supply chains. To ensure that enterprise can form the best strategy consistently, it is necessary to evaluate the trust of other enterprises in the supply chain. First, this paper analyzes the background and significance of supply chain trust research, analyzes and expounds on the qualitative and quantitative methods of supply chain trust evaluation, and summarizes the research in this field. Analytic hierarchy process (AHP) is the most frequently used method in the literature to evaluate and rank criteria through data analysis. However, the input data for AHP analysis is based on human judgment, and hence there is every possibility that the data may be vague to some extent. Therefore, in view of the above problems, this study improves the global trust method based on chain iteration. The improved global trust evaluation method based on chain iteration is more flexible and practical, hence, it can more accurately evaluate supply chain trust. Finally, combined with an actual case of Zhaoxian Chengji Food Co. Ltd., the paper qualitatively analyzes the current situation of supply chain trust management and effectively strengthens the supervision of enterprises to cooperative enterprises. Thus, the company can identify problems on time and strategic adjustments can be implemented accordingly. The effectiveness of the evaluation method proposed in this paper is demonstrated through a quantitative evaluation of its trust in downstream enterprise A. Results suggest that the subjective preferences of and historical transactions together affect the final evaluation of trust.

• ETRI Journal
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• v.44 no.4
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• pp.672-685
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• 2022

This article proposes a subject-independent application of brain-computer interfacing (BCI). A 32-channel Electroencephalography (EEG) device is used to measure imagined speech (SI) of four words (sos, stop, medicine, washroom) and one phrase (come-here) across 13 subjects. A deep long short-term memory (LSTM) network has been adopted to recognize the above signals in seven EEG frequency bands individually in nine major regions of the brain. The results show a maximum accuracy of 73.56% and a network prediction time (NPT) of 0.14 s which are superior to other state-of-the-art techniques in the literature. Our analysis reveals that the alpha band can recognize SI better than other EEG frequencies. To reinforce our findings, the above work has been compared by models based on the gated recurrent unit (GRU), convolutional neural network (CNN), and six conventional classifiers. The results show that the LSTM model has 46.86% more average accuracy in the alpha band and 74.54% less average NPT than CNN. The maximum accuracy of GRU was 8.34% less than the LSTM network. Deep networks performed better than traditional classifiers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3991-4007
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• 2022

In the public healthcare, a computational system that can automatically and efficiently detect and classify falls from a video sequence has significant potential. With the advancement of deep learning, which can extract temporal and spatial information, has become more widespread. However, traditional 3D CNNs that usually adopt shallow networks cannot obtain higher recognition accuracy than deeper networks. Additionally, some experiences of neural network show that the problem of gradient explosions occurs with increasing the network layers. As a result, an enhanced three-dimensional ResNet-based method for fall detection (3D-ERes-FD) is proposed to directly extract spatio-temporal features to address these issues. In our method, a 50-layer 3D residual network is used to deepen the network for improving fall recognition accuracy. Furthermore, enhanced residual units with four convolutional layers are developed to efficiently reduce the number of parameters and increase the depth of the network. According to the experimental results, the proposed method outperformed several state-of-the-art methods.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.5 no.4
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• pp.789-796
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• 2015

The first phase of architecture design is the field survey of the site and its surroundings. To gather the information there are two methods :the traditional method of an onsite survey, and recently using 3D geometry data and high quality image mapping from online services such as Google Earth. However, the urban condition is fast changing, and information from online services may lack sufficient information. This paper presents the to fast and effective site survey method for urban site using an affordable and fully automated UAV for the architectural design field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1671-1686
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• 2022

Face manipulation tools represented by Deepfake have threatened the security of people's biological identity information. Particularly, manipulation tools with deep learning technology have brought great challenges to Deepfake detection. There are many solutions for Deepfake detection based on traditional machine learning and advanced deep learning. However, those solutions of detectors almost have problems of poor performance when evaluated on different quality datasets. In this paper, for the sake of making high-quality Deepfake datasets, we provide a preprocessing method based on the image pixel matrix feature to eliminate similar images and the residual channel attention network (RCAN) to resize the scale of images. Significantly, we also describe a Deepfake detector named Cascaded-Hop which is based on the PixelHop++ system and the successive subspace learning (SSL) model. By feeding the preprocessed datasets, Cascaded-Hop achieves a good classification result on different manipulation types and multiple quality datasets. According to the experiment on FaceForensics++ and Celeb-DF, the AUC (area under curve) results of our proposed methods are comparable to the state-of-the-art models.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.202-209
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• 2023

In the 21st century, the dualistic worldview of the Cold War era collapsed and we entered an era of new creation and fusion. The fusion of different designs between East and West, the design activities of traditional clothing from the past, the use of new materials that are continuously being developed, and the mixing of unique items are being conducted in various fields. However, research is being conducted by combining fusion characteristics with hair. In addition, the period is short and the amount of research is small. Therefore, this study analyzed hairstyles of fusion images shown in hair collection using data of Juno Hair collection from 2013 to 2022 as analysis data and examined types of fusion images shown in the work of folk images, mixed images, and future images. Oriented images were divided into three categories and analyzed. In this study, we added Results of such research can be used not only as data for predicting future fashion trends, but also as basic data for exploring new design developments. In future research, it is expected that convergent research will be conducted, such as analyzing fusion images from an integrated perspective.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.210-215
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• 2023

As a public space providing night commercial services, night market represents the regional culture of a region or city to a certain extent. With the development of material economy and the continuous improvement of spiritual civilization, the modern night market has also begun to show some new changes. is an important strategy for the development and transformation of modern night market to build the brand image of night market and turn the traditional night market into a new "national tide" night market". Based on the regional cultural perspective, this paper takes many night markets in Changzhou, China as the object of study, and aims to summarize the effective ways to construct a new night market image. We are designed the following conclusions. The first is to deploy rational and unique features. The second is to enrich the business style and to perfect matching. The third is to regulate management and promote multiple effects. Therefore, it is expected that a new strategy will be proposed to create a night market brand image from a local cultural perspective.