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Authors: Wang, Jing | Wang, Ting

Article Type: Research Article

Abstract: Microgrids (MGs) are defined as a set of loads, generation sources and energy storage devices that act as a controllable load or generator, and can supply power and heat to local areas. Management of generated power in MGs is among the main topics that should be addressed for MG design and operation. The existence of distributed generation (DG) resources has caused MG management to face new issues. Depending on the level of exchange between the MG and main grid, MG operation can be classified into two modes: off-grid (islanded) and grid-connected. Optimal energy management in the systems with multiple MGs …has created new challenges in power systems. Therefore, it is important to develop energy management systems (EMSs) focusing on the optimal performance of MG resources and controlling power exchange between the grid and MGs. The present study aims to present a structure with two control layers, called primary and secondary control, for energy management in the systems with multiple MGs and different ownership. Moreover, a flexible distributed EMS is proposed to coordinate the operation of interconnected MGs. Each MG is regarded as an independent unit with local objectives to optimize its operating costs and exchanged power. It is assumed that interconnected MGs are connected to each other by a common bus, through which they can exchange power. MG planning is simulated considering load flow equations and voltage constraints in a system consisting of multiple MGs over a 24-h period. The simulation results indicate using the proposed EMS can improve MG efficiency and reliability. The simulation is performed in MATLAB software by grasshopper optimization algorithm (GOA). Uncertainties and scenario generation and reduction are considered in modeling. Show more

Keywords: Distributed energy management system, Microgrid (MG), distributed generation resource, power exchange

DOI: 10.3233/JIFS-220568

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 7949-7961, 2022

Authors: Wang, Ting | Lund, Brady | Dow, Mirah

Article Type: Research Article

Abstract: By reading the titles, abstracts, and keywords of LIS doctoral dissertations in China from 2011–2020 and conducting cluster analysis and network analysis of keywords, this study aims to understand the intelligence structure of LIS doctoral dissertations in China, as well as the disciplines and topics intersecting with LIS. The results indicated that Wuhan University had the highest number of doctoral dissertations among all the selected universities offering LIS doctoral education. Research fields mainly focus on online information behavior and information services. The findings could be because of the development of computer science and information technology in the past decade, which …indicates that the research direction of LIS in China follows the trend of time development. Show more

Keywords: LIS in China, doctoral dissertations, bibliometrics, co-word analysis, cluster analysis

DOI: 10.3233/EFI-211545

Citation: Education for Information, vol. 38, no. 1, pp. 1-15, 2022

Authors: Wang, Ting | Dong, Junyu | Sun, Xin | Zhang, Shu | Wang, Shengke

Article Type: Research Article

Abstract: Facial nerve paralysis is a common disease due to nerve damage. Most approaches for evaluating the degree of facial paralysis rely on a set of different facial movements as commanded by doctors. Therefore, automatic recognition of the patterns of facial movement is fundamental to the evaluation of the degree of facial paralysis. In this paper, a novel method named Active Shape Models plus Local Binary Patterns (ASMLBP) is presented for recognizing facial movement patterns. Firstly, the Active Shape Models (ASMs) are used in the method to locate facial key points. According to these points, the face is divided into eight …local regions. Then the descriptors of these regions are extracted by using Local Binary Patterns (LBP) to recognize the patterns of facial movement. The proposed ASMLBP method is tested on both the collected facial paralysis database with 57 patients and another publicly available database named the Japanese Female Facial Expression (JAFFE). Experimental results demonstrate that the proposed method is efficient for both paralyzed and normal faces. Show more

Keywords: Facial paralysis, facial movement, active shape models, local binary patterns

DOI: 10.3233/BME-141093

Citation: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 2751-2760, 2014

Authors: Lund, Brady D. | Wang, Ting | White, Danica E.

Article Type: Research Article

Abstract: This article presents an overview of the popular rankings (US News and World Report, QS World Rankings) of U.S.-based library and information science (LIS) education programs and the shortcomings of each ranking. It calls for a new, more objective ranking of LIS programs that will more accurately assess quality and sustainability of these programs and provide more relevant information for future students in choosing a program. The uniqueness of the library and information professions is discussed as an impetus for producing more useful rankings and providing open data on student costs and outcomes in LIS programs. Statistics comparing relationships between …the major LIS school rankings and factors identified from the literature as important for LIS student college choice are presented. New criteria for the creation of more representative rankings of LIS programs is presented. Show more

Keywords: Library and Information science education, U.S. news and world report, QS world, university rankings, higher education, comparative analysis, marketing

DOI: 10.3233/EFI-190248

Citation: Education for Information, vol. 35, no. 4, pp. 419-438, 2019

Authors: Zhang, Shu | Wang, Ting | Peng, Yanjun | Dong, Junyu

Article Type: Research Article

Abstract: Face symmetrization has extensive applications in both medical and academic fields, such as facial disorder diagnosis. Human face possesses an important characteristic, which is as known as symmetry. However, in many scenarios, the perfect symmetry doesn’t exist in human faces, which yields a large number of studies around this topic. For example, facial palsy evaluation, facial beauty evaluation based on facial symmetry analysis, and many among others. Currently, there are still very limited researches dedicated for automatic facial symmetrization. Most of the existing studies only utilized their own implantations for facial symmetrization to assist their interdisciplinary academic researches. Limitations thus …can be noticed in their methods, such as the requirements for manual interventions. Furthermore, most existing methods utilize facial landmark detection algorithms for automatic facial symmetrization. Though accuracies of the landmark detection algorithms are promising, the uncontrolled conditions in the facial images can still negatively impact the performance of the symmetrical face production. To this end, this paper presents a joint-loss enhanced deep generative network model for automatic facial symmetrization, which is achieved by a full facial image analysis. The joint-loss consists of a pair of adversarial losses and an identity loss. The adversarial losses try to make the generated symmetrical face as realistic as possible, while the identity loss helps to constrain the output to have the same identity of the person in the original input as much as possible. Rather than an end-to-end learning strategy, the proposed model is constructed by a multi-stage training process, which avoids the demand for a large size of the symmetrical face as training data. Experiments are conducted with comparisons with several existing methods based on some of the most popular facial landmark detection algorithms. Competitive results of the proposed method are demonstrated. Show more

Keywords: Facial symmetry, facial palsy image, symmetrization, multi-stage training, Generative Adversarial Networks

DOI: 10.3233/THC-199021

Citation: Technology and Health Care, vol. 27, no. S1, pp. 217-227, 2019

Authors: Zhou, Lexin | Yang, Wenzhong | Wang, Ting | Wu, Yongzhi

Article Type: Research Article

Abstract: Aspect-based sentiment analysis (ABSA) contains three subtasks, namely aspect term extraction, opinion term extraction and aspect-level sentiment classification. In order to make full use of the relationship between the three subtasks, some recent studies have successfully tried to use a unified framework to solve the problem of aspect-based sentiment analysis. However, these studies have not yet integrated domain knowledge into the model. Inspired by the post-training task, we propose a joint model (RACL-BERT-PT). This model combines the pre-training model BERT-PT with domain knowledge and the unified joint training framework RACL. The experimental results show that our model has achieved better …results than previous experiments on three public data. Show more

Keywords: Aspect-based sentiment analysis, post-training, domain knowledge

DOI: 10.3233/JIFS-210632

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1445-1454, 2022

Authors: Yu, Zhiqiang | Wang, Ting | Liu, Shihu | Tan, Xuewen

Article Type: Research Article

Abstract: As the typical distant language pair, Chinese and Vietnamese vary widely in syntactic structure, which significantly influences the performance of Chinese-Vietnamese machine translation. To address this problem, we present a simple approach with a pre-reordering model for closing syntactic gaps of the Chinese-Vietnamese language pair. Specifically, we first propose an algorithm for recognizing the modifier inverse, one of the most representative syntactic different in Chinese-Vietnamese language pair. Then we pre-train a pre-reordering model based on the former recognition algorithm and incorporate it into the attention-based translation framework for syntactic different reordering. We conduct empirical studies on Chinese-Vietnamese neural machine translation …task, the results show that our approach achieves average improvement of 2.75 BLEU points in translation quality over the baseline model. In addition, the translation fluency can be significantly improved by over 2.44 RIBES points. Show more

Keywords: Neural machine translation, linguistic difference, Chinese-Vietnamese

DOI: 10.3233/JIFS-233762

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 3, pp. 5533-5544, 2024

Authors: Wang, Ting | Xu, Rui | Han, Xianhua | Chen, Yen-Wei | Ishizaki, Yoshitomo | Miyamoto, Masaru | Hattori, Tomohito

Article Type: Research Article

Abstract: The automatic inspection of throw-away tips is very important for quality control in precision cutting. We proposed an image processing based method for automatic inspection of the processing wear of throw-away tips. After image denoising, the proposed method utilized image-patch based principal component analysis method to enhance the cutting worn region while suppress the background region. Then the enhanced worn region was automatically segmented by a simple thresholding method followed by post-processing. The area of the segmented worn region was used as a measure of cutting wear degree. We collected three datasets of time-series images that recorded the processing of …throw-away tips on a product line. One dataset was used to choose optimal parameters of the proposed method, and the other two datasets were used for evaluate its performances. Experimental results showed that the proposed method was able to inspect the cutting wear with high accuracy. Additionally, it was also showed that the proposed method outperformed the conventional thresholding based method. Show more

Keywords: Principal component analysis, segmentation, worn region, throw-away tips, automatic inspection

DOI: 10.3233/JIFS-169020

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 2, pp. 903-913, 2016

Authors: Chen, Xiangtang | Sun, Bingzhen | Zhang, Xinrui | Qi, Chang | Chu, Xiaoli | Wang, Ting | Huang, Yantai

Article Type: Research Article

Abstract: Linguistic variable is an effective method of representation the preferences of a decision-maker for inaccuracy available information in decision making under uncertainty. This article investigates a multiple attribute ranking decision making problem with linguistic preference by using linguistic value soft rough set. Firstly, we present the definition of linguistic value fuzzy set by introducing the concept of linguistic variable into the original Zadeh’s fuzzy set. We then define the concept of linguistic value soft set and the pseudo linguistic value soft set over the alternative set and parameter set of discourse. Moreover, we investigate the basic operators and the mathematical …properties of the linguistic value soft set. Subsequently, we establish the rough approximation of an uncertainty concept with linguistic value over the object set and parameter set, i.e., the linguistic value soft rough set model. Meanwhile, we discuss several deformations of the linguistic value soft rough lower and upper approximations as well as some fundamental properties of the linguistic value soft approximation operators. With reference on the exploring of the fundamental of linguistic value soft rough set, we construct a new method for handling with the multiple attribute ranking decision making problems with linguistic information by combining the proposed soft rough set and the VIKOR method. Then, we give the detailed decision procedure and steps for the established decision approach. At last, an extensive numerical example is further conducted to illustrate the process of the decision making principle and the results are satisfactory. The main contribution of this paper is twofold. One is to provide a new model of granular computing by infusion the soft set and rough set theory with linguistic valued information. Another is to try making a new way to handle multiple attribute decision making problems based on linguistic value soft rough set and the VIKOR method. Show more

Keywords: Rough set, Soft set, Linguistic variable, Linguistic value soft approximation space, VIKOR method

DOI: 10.3233/JIFS-202085

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 5, pp. 9609-9626, 2021

Authors: Huang, Bo-Huei | Wang, Ting-Yao | Lu, Kang-Hao | Chang, Cheng-Yu | Chan, Kuei-Hui

Article Type: Research Article

Abstract: BACKGROUND: The ergogenic effect of ischemic preconditioning (IPC) has been widely approved, but the mechanisms underlying the beneficial effects are still not fully clarified. OBJECTIVE: The aim of this study was to examine the effects of IPC on human isokinetic muscular function and hemodynamics during exercise. METHODS: In a counterbalanced, crossover study, 14 healthy non-athletic males (26.0 ± 3.5 years) performed isokinetic muscle strength and endurance tests of the dominant leg on an isokinetic dynamometer, preceded by either IPC on bilateral thighs (3 × 5-min compression/5-min reperfusion cycles at 50 mmHg greater than the participant’s systolic blood pressure) or SHAM …(10 mmHg) intervention. Participants underwent strength testing by performing three maximum isokinetic knee extensions and flexions at the angular velocities of 30⋅ ∘ s - 1 , 150⋅ ∘ s - 1 , and 270⋅ ∘ s - 1 . An endurance test was also conducted over 30 repetitions at 180 ∘ /s. Hemodynamics of the vastus lateralis muscle were monitored before and after the interventions and during exercise tests by near-infrared spectrometer (NIRS). RESULTS: Resting total hemoglobin significantly increased after IPC (p = 0.048, d = 0.15). During the endurance testing, the oxygen uptake was significantly improved after IPC as shown by the change of oxygenated hemoglobin, deoxygenated hemoglobin, and oxygen saturation, at small to moderate effect size. However, both muscular strength and endurance were found unchanged. CONCLUSION: IPC improves the local oxygenation status without altering maximal muscle strength and endurance in young non-athletic males. Show more

Keywords: Tourniquets, muscular strength, muscle oxygenation

DOI: 10.3233/IES-194184

Citation: Isokinetics and Exercise Science, vol. 28, no. 1, pp. 73-81, 2020