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EEG-based Safety Driving Performance Estimation and Alertness Using Support Vector Machine
Hongyu Sun,Lijun Bi,Bisheng Chen,Yinjing Guo 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.6
Safety driving performance estimation and alertness (SDPEA) has drawn the attention of researchers in preventing traffic accidents caused by drowsiness while driving. Psychophysiological measures, such as electroencephalogram (EEG), are accurately investigated to be robust candidates for drivers’ drowsiness evaluation. This paper presents an effective EEG-based driver drowsiness monitoring system by analyzing the changes of brain activities in a simulator driving environment. The proposed SDPEA system can translate EEG signals into drowsiness level. Firstly, Independent component analysis (ICA) is performed on EEG data to remove artifacts. Then, eight EEG-band powers- related features: beta, alpha, theta, delta, (alpha plus theta)/beta, alpha / beta, (alpha plus theta)/(alpha plus beta) and theta / beta are extracted from the preprocessed EEG signals by employing the Fast Fourier Transform (FFT). Subsequently, fisher score technique selects the most descriptive features for further classification. Finally, Support Vector Machine (SVM) is employed as a classifier to distinguish drowsiness level. Experimental results show that the quantitative driving performance can be correctly estimated through analyzing driver’s EEG signals by the SDPEA system.
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Spatial Data Internet Progressive Transmission Control based on the Geometric Shapes Similarity
Luliang Tang,Xia Zhang,Zihan Kan,Bisheng Yang,Qingquan Li 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.5
It is very difficult to transmit spatial data over the Internet rapidly because of huge data volume and limited network bandwidth. How to transmit spatial data over the Internet is becoming a big problem. Based on the Distance View and the Characteristic Set View, this paper proposes a Spatial Data Similarity Model (SDSM) and a set of methods to measure the similarity of points, polylines and polygons, then this paper puts forward a spatial data progressive transmission method based on the SDSM, which is prior to transmit the spatial data that is most important for shape from server to clients. The experiments tested the progressive transmission control of the polylines and polygons data by the similarity at different resolutions, The results show that the SDSM is beneficial to progressive transmission of spatial data at different resolutions and is a promising solution to the progressive transmission of spatial data over internet.
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LncRNA SNHG12/miR-494-3p/CBX3 axis in diffuse large B-cell lymphoma
Si Cheng,Zhang Wanyong,Han Qi,Zhu Bisheng,Zhan Chengzhi 대한독성 유전단백체 학회 2023 Molecular & cellular toxicology Vol.19 No.1
Background Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoid malignancy in adults. Current studies have implicated that long non-coding RNAs (lncRNAs) regulate the development of DLBCL; nevertheless, the control method is dim. Here, we reconnoitered the characters of lncRNA small nucleolar RNA host gene 12 (lncRNA SNHG12) in DLBCL. Objective The pathological morphology of tumor tissues and normal tissues was perceived by hematoxylin–eosin (HE) staining. The levels of SNHG12, microRNA-494-3p (miR-494-3p), and chromobox 3 (CBX3) were detected by quantitative real-time PCR and western blot. Whereafter, MTT assay and EdU assay were enforced to validate cell proliferation. Flow cytometry assay was implemented to assess the cell cycle and cell apoptosis, respectively. Additionally, the interface between miR-494-3p with SNHG12 or CBX3 was identified by dual-luciferase reporter assay. Results SNHG12 and CBX3 were enhanced, but miR-494-3p was diminished in DLBCL. Knockdown of SNHG12 repressed cell proliferation and cell cycle, although heightened cell apoptosis in DLBCL cells. SNHG12 sponged miR-494-3p to adjust the CBX3. Additionally, miR-494-3p restrained DLBCL cells development by targeting CBX3. Conclusion SNHG12 contributed to DLBCL development by regulating miR-494-3p/CBX3. The outcomes demonstrated that SNHG12 provided a potential train of thought for DLBCL theory of targeted therapy.
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Wang Xu,Zhang Jingjing,Liu Zhige,Wang Shuaibin,Huang Bisheng,Hu Zhigang,Liu Yifei 한국식물학회 2021 Journal of Plant Biology Vol.64 No.5
Chrysanthemum indicum var. aromaticum is an important resource plant for breeding excellent aromatic varieties of ornamental and medicinal chrysanthemums. However, the biosynthesis and regulation mechanisms of typically aromatic ingredients in C. indicum var. aromaticum are poorly understood, which restricted the utilization of this plant. Here, the transcriptome of C. indicum var. aromaticum was investigated and comparative analysis was conducted with the other two closely related chrysanthemum taxa C. indicum and C. nankingense. The global transcriptome profiles showed clear difference of gene expression patterns between the three chrysanthemums, of which 52 flavonoid biosynthesis-associated genes, 157 transcription factors, and 24 flavonoid Uridine diphosphate (UDP) -glucuronosyl and -glucosyltransferase genes were significantly differentially expressed. Furthermore, 22 differential expression genes (DEGs) in relation to the terpenoid backbone biosynthesis and 183 DEGs related to terpenoid diversification were identified. Of which, 14 genes involved into TS/CYP gene cluster showed higher expression in CIA than those in CI or CN. These results increased our understanding of flavonoid diversification and aromatic ingredients accumulation in plants, and will also help improve resource conservation and sustainable utilization of the important resource plant C. indicum var. aromaticum.
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