Your search for: 'author:("Zhang, Jun")' has returned 39 results. (0.02s) Save search

Authors: An, Qing | Tang, Ruoli | Su, Hongfeng | Zhang, Jun | Li, Xin

Article Type: Research Article

Abstract: Due to the promising performance on energy-saving, the building integrated photovoltaic system (BIPV) has found an increasingly wide utilization in modern cities. For a large-scale PV array installed on the facades of a super high-rise building, the environmental conditions (e.g., the irradiance, temperature, sunlight angle etc.) are always complex and dynamic. As a result, the PV configuration and maximum power point tracking (MPPT) methodology are of great importance for both the operational safety and efficiency. In this study, some famous PV configurations are comprehensively tested under complex shading conditions in BIPV application, and a robust configuration for large-scale BIPV system …based on the total-cross-tied (TCT) circuit connection is developed. Then, by analyzing and extracting the feature variables of environment parameters, a novel fast MPPT methodology based on extreme learning machine (ELM) is proposed. Finally, the proposed configuration and its MPPT methodology are verified by simulation experiments. Experimental results show that the proposed configuration performs efficient on most of the complex shading conditions, and the ELM-based intelligent MPPT methodology can also obtain promising performance on response speed and tracking accuracy. Show more

Keywords: Building integrated photovoltaic system, maximum power point tracking, PV configuration, intelligent control, extreme learning machine

DOI: 10.3233/JIFS-210424

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 12283-12300, 2021

Authors: Han, Hao | Zhang, Zhi-Fang | Zhang, Jun-Fei | Zhang, Bin

Article Type: Research Article

Abstract: This article has been retracted, and the online PDF has been watermarked “RETRACTION”. The retraction notice is available at http://doi.org/10.3233/MGC-220954 .

DOI: 10.3233/MGC-180682

Citation: Main Group Chemistry, vol. 18, no. 2, pp. 71-79, 2019

Authors: Xu, Chenguang | Zhang, Chao | Ma, Mingxi | Zhang, Jun

Article Type: Research Article

Abstract:  Blind image deconvolution has attracted growing attention in image processing and computer vision. The total variation (TV) regularization can effectively preserve image edges. However, due to lack of self-adaptability, it does not perform very well on restoring images with complex structures. In this paper, we propose a new blind image deconvolution model using an adaptive weighted TV regularization. This model can better handle local features of image. Numerically, we design an effective alternating direction method of multipliers (ADMM) to solve this non-smooth model. Experimental results illustrate the superiority of the proposed method compared with other related blind deconvolution methods.

Keywords: Blind deconvolution, Total variation regularization, Adaptive weighted matrix, ADMM

DOI: 10.3233/JIFS-223828

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6497-6511, 2023

Authors: Zhang, Jun | Yu, Xiao-Ling | Zheng, Guo-Feng | Zhao, Fei

Article Type: Research Article

Abstract: OBJECTIVE: This meta-analysis investigated the correlation between the promoter methylation of death-associated protein kinase (DAPK ) and the clinicopathological features in patients with non-small cell lung cancer (NSCLC). METHOD: Scientific literature databases were exhaustively searched to retrieve published studies relevant to DAPK methylation and NSCLC. Retrieved studies published in English and Chinese languages were screened according to the stringent predefined inclusion and exclusion criteria, and high quality studies were selected for meta-analysis. All statistical analyses were performed utilizing STATA software (Version 12.0, Stata Corporation, College Station, TX, USA). RESULTS: A total of 14 published studies (5 in English and 9 …in Chinese) were enrolled in the present meta-analysis, and contained 1238 patients with NSCLC. The results indicated that NSCLC patients with metastatic phenotype were strongly associated with significantly higher methylation rate of DAPK compared to NSCLC patients without metastasis. Additionally, in NSCLC patients carrying tumors with DAPK methylation, the 5-year survival rate was remarkedly lower than NSCLC patients without DAPK methylation. However, we did not find significant correlation between DAPK methylation and histological stage or tumor node metastasis (TNM) stage in NSCLC patients. CONCLUSION: Our meta-analysis results reveal that DAPK promoter methylation might be associated with tumor metastasis and poor prognosis in NSCLC patients, although no correlation with histological types and TNM stage in NSCLC patients were found. Show more

Keywords: Death-associated protein kinase (DAPK), non-small cell lung cancer, clinicopathological features, prognosis, meta-analysis

DOI: 10.3233/CBM-150501

Citation: Cancer Biomarkers, vol. 15, no. 5, pp. 609-617, 2015

Authors: Yang, Liu | Wang, Tiejun | Zhang, Jun | Liu, Zhonghao | Wang, Xuxia

Article Type: Research Article

Abstract: BACKGROUND: BTB/POZ domain-containing protein 7 (BTBD7) is recognized as a regulatory gene that regulates epithelial cell dynamics and branching morphogenesis. It is also reported for regulating epithelial-mesenchymal transition (EMT) molecules and involved in the process of invasion and metastasis of lung cancer and hepatocellular carcinoma. Slug is a transcriptional factor of EMT which plays a crucial role in the process of primary salivary adenoid cystic carcinoma (SACC). However, the role of BTBD7 in SACC and the correlation with Slug have not been identified. This study investigated the expression of BTBD7 and correlation with Slug, as well as the prognostic significance …of BTBD7 in SACC. METHODS: The expression of BTBD7 and Slug were examined in ACC-LM and ACC-83 cell lines and immunohistochemically in paraffin embedded tissue specimens from 66 primary SACC patients. Statistical analyses were performed to evaluate the correlation between BTBD7 expression and Slug expression and the prognostic significance of BTBD7 expression. RESULTS: BTBD7 protein expression was initially verified in ACC-LM and ACC-83 cell lines. The positive rate of BTBD7 expression was 62.1% in SACC to 20% in normal salivary tissues comparatively. BTBD7 expression was significantly correlated with Slug expression in SACC (P< 0.05). Increased BTBD7 expression was significantly associated with the TNM stage, tissue typing, distant metastasis and patients' poor clinical outcome. CONCLUSIONS: Positive expression of BTBD7 in SACC could play an important role in the development of cancer and may serve as a favorable predictor for diagnosis and poor prognosis of patients. Show more

Keywords: BTBD7, Slug, salivary adenoid cystic carcinoma, prognosis

DOI: 10.3233/CBM-160629

Citation: Cancer Biomarkers, vol. 17, no. 2, pp. 179-185, 2016

Authors: Yang, Liu | Wang, Tiejun | Zhang, Jun | Wang, Xuxia

Article Type: Research Article

Abstract: BACKGROUND: Epithelial-mesenchymal transition (EMT) is a complicated process that has been implicated in cancer progression and metastasis as well as the formation of many tissues and organs. BTB/POZ domain-containing protein 7 (BTBD7) is reported to regulate transcriptional factors and involved in the process of invasion and metastasis of some malignant tumors. Additionally, our preliminary studies have confirmed that BTBD7 expression was significantly correlated with Slug expression and poor prognosis of primary salivary adenoid cystic carcinoma (SACC). On this basis, this study further investigated function of BTBD7 in the invasion and metastasis of SACC in vitro , which may be a …possible target of gene therapy in the future. METHODS: The expression of BTBD7 and Slug were both examined in SACC-LM and SACC-83 cell lines by immunofluorescence staining. High invasive SACC-LM cells were transfected with BTBD7 siRNA and the expression levels of BTBD7 and Slug were detected in both gene and protein levels by qRT-PCR and western blot analysis. Assays were performed to survey cell migration, invasion and proliferation capabilities with BTBD7 silencing. RESULTS: BTBD7 and Slug proteins were detected in SACC-LM and SACC-83 cell lines. BTBD7 silencing down-regulated the expression of Slug and MMP9 meanwhile up-regulated the expression of E-cadherin in SACC-LM cells, the migration and invasion abilities of cells were obviously suppressed but with no influence on cell proliferation. CONCLUSIONS: BTBD7 silencing inhibited EMT through regulation of Slug expression in SACC-LM cells and might act as a potential molecular target for gene therapy of SACC. Show more

Keywords: BTBD7, Slug, salivary adenoid cystic carcinoma, RNA interference

DOI: 10.3233/CBM-170262

Citation: Cancer Biomarkers, vol. 20, no. 4, pp. 461-468, 2017

Authors: You, Fang | Li, Yaru | Fu, Qianwen | Zhang, Jun

Article Type: Research Article

Abstract: With the increasing levels of intelligence and automation, the relationship between humans and vehicles has evolved from a utilitarian perspective to a partnership. Among the crucial factors for enhancing user experiences are the analysis of driving tasks, the construction of user needs models, and the design of intelligent interfaces. Based on this background, this paper proposes a cognitive task analysis model using intelligent steering wheel information interaction design as the vehicle. The model aims to extract key design elements to assist designers in making design decisions, thereby improving the human-machine cooperation performance of intelligent automobiles and enhancing user perceptual experiences. …Firstly, within the context of human-machine cooperation systems, a cognitive task analysis method integrating the SRK model is proposed. By analyzing the behavioral decision characteristics between the vehicle and the user, a framework for the human-machine interface (HMI) logic of the steering wheel and a dynamic layout prototype are established. Secondly, the design of the steering wheel’s HMI interaction is based on an analysis of users’ affective needs and rational physiological characteristics. This paper integrates the analysis of users’ affective needs to identify design elements that align with a high level of user satisfaction. Lastly, the design methodology model is applied to a navigation scenario, resulting in the creation of a steering wheel HMI prototype within a human-machine cooperation system. The prototype is then subjected to a combined subjective and objective experimental analysis, thereby validating the superiority of the steering wheel HMI’s detection indicators over those of the central control HMI and establishing the design pattern for the steering wheel HMI. Show more

Keywords: Intelligent cockpit, steering wheel, cognitive task analysis, human-machine interaction interface

DOI: 10.3233/JIFS-233500

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 3, pp. 6439-6464, 2024

Authors: Zhang, Jun | Geng, Xingguang | Zhang, Yitao | Yao, Fei | Wang, Yunfeng | Zhang, Haiying

Article Type: Research Article

Abstract: BACKGROUND: The wrist pulse wave under the optimal pulse pressure plays an important role in detecting human body’s physiological and pathological information. Wavelet threshold filtering is a common method for pulse wave de-noising. However, traditional filtering methods cannot smoothen the whole pulse wave well and highlight the details. OBJECTIVE: In view of this, an attempt is made in this paper to propose the pulse wave denoising algorithm for pulse wave under optimal pulse pressure according to the translation invariant wavelet transform (TIWT) and the new threshold function. METHODS: Firstly, by using hyperbolic tangent curve and combining the advantages of soft …threshold function and hard threshold function, the new threshold function is derived. Secondly, based on the TIWT, pseudo-Gibbs phenomenon gets suppressed. RESULTS: The experiments show that in comparison to the traditional wavelet filtering algorithm, the novel algorithm can better maintain the pulse wave geometric characteristics and has a higher signal to noise ratio (SNR). CONCLUSION: The TIWT with improved new threshold compensates the shortcomings of the traditional wavelet threshold denoising methods in a better way. It lays a foundation for extracting time-domain characteristics of pulse wave. Show more

Keywords: Pulse wave, denoising method, a new threshold function, translation invariant wavelet transform

DOI: 10.3233/THC-236049

Citation: Technology and Health Care, vol. 31, no. S1, pp. 551-563, 2023

Authors: Zhang, Jun | Qin, Yanping | Zhang, Xinyu | Che, Gen | Sun, Xuan | Duo, Huaqiong

Article Type: Research Article

Abstract: Non-equidistant GM(1,1) (abbreviated as NEGM) model is widely used in building settlement prediction because of its high accuracy and outstanding adaptability. To improve the building settlement prediction accuracy of the NEGM model, the fractional-order non-equidistant GM(1,1) model (abbreviated as FNEGM) is established in this study. In the modeling process of the FNEGM model, the fractional-order accumulated generating sequence is extended based on the first-order accumulated generating sequence, and the optimal parameters that increase the prediction precision of the model are obtained by using the whale optimization algorithm. The FNEGM model and the other two grey prediction models are applied to …three cases, and five prediction performance indexes are used to evaluate the prediction precision of the three models. The results show that the FNEGM model is more suitable for predicting the settlement of buildings than the other two grey prediction models. Show more

Keywords: Non-equidistant GM(1, 1) model, fractional-order accumulation, grey prediction model

DOI: 10.3233/JIFS-210936

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1559-1573, 2022

Authors: Li, Yansheng | Zhang, Jun | Chen, Jinbo | Chang, Sheng-Hung | Lam, Anthony | Zhao, Qiong

Article Type: Research Article

Abstract: This article has been retracted, and the online PDF has been watermarked “RETRACTED”. The retraction notice is available at https://doi.org/10.3233/JIFS-219326 .

DOI: 10.3233/JIFS-179476

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1147-1157, 2020