SDRP: A Service Discovery with Routing Protocol for MANETs

Shuo, S.,Lee, K. M.,Shin, D.-R. INSTITUTE OF ELECTRONICS, INFORMATION 2006 IEICE transactions on fundamentals of electronics, Vol.89 No.6

Photosynthetic inhibition and oxidative stress to the toxic Phaeocystis globosa caused by a diketopiperazine isolated from products of algicidal bacterium metabolism

Shuo Tan,Xiaoli Hu,Pinghe Yin,Ling Zhao 한국미생물학회 2016 The journal of microbiology Vol.54 No.5

Algicidal bacteria have been turned out to be available for inhibiting Phaeocystis globosa which frequently caused harmful algal blooms and threatened to economic development and ecological balance. A marine bacterium Bacillus sp. Ts-12 exhibited significant algicidal activity against P. globosa by indirect attack. In present study, an algicidal compound was isolated by silica gel column, Sephadex G-15 column and HPLC, further identified as hexahydropyrrolo[1,2-a]pyrazine- 1,4-dione, cyclo-(Pro-Gly), by GC-MS and 1H-NMR. Cyclo-(Pro-Gly) significantly increased the level of reactive oxygen species (ROS) within P. globosa cells, further activating the enzymatic and non-enzymatic antioxidant systems, including superoxide dismutase (SOD), catalase (CAT), glutathione (GSH) and ascorbic acid (AsA). The increase in methane dicarboxylic aldehyde (MDA) content showed that the surplus ROS induced lipid peroxidation on membrane system. Transmission electron microscope (TEM) and flow cytometry (FCM) analysis revealed that cyclo-(Pro-Gly) caused reduction of Chl-a content, destruction of cell membrane integrity, chloroplasts and nuclear structure. Real-time PCR assay showed that the transcriptions of photosynthesis related genes (psbA, psbD, rbcL) were significantly inhibited. This study indicated that cyclo-(Pro-Gly) from marine Bacillus sp. Ts-12 exerted photosynthetic inhibition and oxidative stress to P. globosa and eventually led to the algal cells lysis. This algicidal compound might be potential bio-agent for controlling P. globosa red tide.

Source Seeking of Multi-UAV Based on Extremum Seeking Algorithm

Shuo Zhuo 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

In this paper, a simple cooperative control strategy for multi-unmanned aerial vehicle (UAV) seeking the source of a scalar signal is developed. This strategy based on extremum seeking algorithm(ESA) and just takes the average of the environmental measurements of each agent as a demodulation signal for the ESA control loop to every UAV in the group. The scalar signal field may represent the strength of a spatially distributed signal. We assume that the signal field is the strongest at the source and decays away from it but the functional form of the field is not available to our UAVs. We point out that only rotocraft UAVs are developed as the flight platforms in this paper. It is also necessary to note that the ESA used in this paper is slightly different from the classic ESA,we call it non-steady state oscillation,which is obtained by adjusting the structure of the classical ESA to make the sinusoidal excitation signal amplitude proportional to the square of the extremum estimation error. The resulting method is efficient and precise. A simulation study involving 3 UAVs is used to verify the effectiveness of this method.

A Study on the Effect of Characteristics of SNS on Purchase Intention in Online Shopping Mall

SHUO ZHANG,Jong Ho Lee 한국경영교육학회 2013 한국경영교육학회 학술발표대회논문집 Vol.2013 No.6

Evaluation and Comparation of a Novel Surgical Technique and Hemivertebra Resection to the Correction of Congenital Cervical Scoliosis in Lower Cervical and Cervicothoracic Spine

Shuo Cao,Xin Chen,Shengfa Pan,Yinze Diao,Yanbin Zhao,Tian Xia,Weishi Li,Feifei Zhou,Yu Sun 대한척추신경외과학회 2022 Neurospine Vol.19 No.4

Objective: To report concave-side distraction technique to treat congenital cervical scoliosis in lower cervical and cervicothoracic spine. To evaluate and compare clinical and radiographic results of this procedure with classic hemivertebra resection procedure. Methods: This study reviewed 29 patients in last 13 years. These patients were divided into convex-side resection group (group R) and concave-side distraction group (group D). Radiographic assessment was based on parameter changes preoperatively, postoperatively and at last follow-up. Demographic data, surgical data and complications were also evaluated and compared between the 2 groups. Results: In group R, mean age was 8.9 ± 3.3 years and follow-up was 46 ± 18 months. Operation time and blood loss averaged 500 ± 100 minutes, 703 ± 367 mL. In group D, mean age was 9.9 ± 2.8 years and follow-up was 34 ± 14 months. Operation time and blood loss averaged 501 ± 112 minutes, 374 ± 181 mL. Structural Cobb angle was corrected from 29.4° ± 12.5° to 5.3° (2.1°–18.1°) (p = 0.001) and 33.7° ± 14.1° to 12.8° ± 11.4° (p < 0.001) in groups R and D. Compensatory Cobb angle had a spontaneous correction rate of 59.6% (40.0%–80.8%) and 59.7% ± 23.0% in groups R and D. Mandibular incline, clavicle angle and spine coronal balance were significantly improved at last follow-up in both groups. All correction rates were not statistically different between groups. However, group D had significant less blood loss (p < 0.001) and operation time (p = 0.004) per vertebra than group R. Seven patients developed C5 nerve root palsy and recovered by 6 months of follow-up. Conclusion: Both surgical procedures are safe and effective in correcting congenital cervical scoliosis. But concave-side distraction technique has less blood loss and time-consuming during surgery, which provides a better option for the treatment of congenital cervical scoliosis.

The effect of a counter cone on the performance of an axial cyclone separator

Shuo Zhang,신원규 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.9

There are two major criteria for the performance evaluation of cyclone separators: particle collection efficiency and pressure drop. It is desirable to improve particle efficiency without increasing pressure drop. In this study, a counter cone was installed inside an axial cyclone is investigated. It was found that the d/B (ratio of the diameter of the cone to dust box inlet diameter in the cyclone separator) influences the particle collection efficiency. A small cone (0 < d/B ≤ 0.55) slightly improves the particle collection efficiency, and when d/B is equal to 0.66, the efficiency reaches a maximum. If d/B increases further, the efficiency decreases. Especially, when the d/B is equal to 0.94, the gap between becomes very narrow resulting in lowering the particle collection efficiency. On the other hand, regardless of the size of the counter cone, the turbulence kinetic energy inside the axial cyclone is not affected and thus the pressure drop can remain unchanged. And we propose a correction factor based on Hsiao et al.’s model (2011) for the prediction of the efficiency of spindle axial cyclone with a counter cone.

Development of monocular video deflectometer based on inclination sensors

Shuo Wang,Shuiqiang Zhang,Xiaodong Li,Yu Zou,Dongsheng Zhang 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.24 No.5

The video deflectometer based on digital image correlation is a non-contacting optical measurement method which has become a useful tool for characterization of the vertical deflections of large structures. In this study, a novel imaging model has been established which considers the variations of pitch angles in the full image. The new model allows deflection measurement at a wide working distance with high accuracy. A monocular video deflectometer has been accordingly developed with an inclination sensor, which facilitates dynamic determination of the orientations and rotation of the optical axis of the camera. This layout has advantages over the video deflectometers based on theodolites with respect to convenience. Experiments have been presented to show the accuracy of the new imaging model and the performance of the monocular video deflectometer in outdoor applications. Finally, this equipment has been applied to the measurement of the vertical deflection of Yingwuzhou Yangtze River Bridge in real time at a distance of hundreds of meters. The results show good agreement with the embedded GPS outputs.

A Dual-scale Network with Spatial-temporal Attention for 12-lead ECG Classification

Shuo Xiao,Yiting Xu,Chaogang Tang,Zhenzhen Huang 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.9

The electrocardiogram (ECG) signal is commonly used to screen and diagnose cardiovascular diseases. In recent years, deep neural networks have been regarded as an effective way for automatic ECG disease diagnosis. The convolutional neural network is widely used for ECG signal extraction because it can obtain different levels of information. However, most previous studies adopt single scale convolution filters to extract ECG signal features, ignoring the complementarity between ECG signal features of different scales. In the paper, we propose a dual-scale network with convolution filters of different sizes for 12-lead ECG classification. Our model can extract and fuse ECG signal features of different scales. In addition, different spatial and time periods of the feature map obtained from the 12-lead ECG may have different contributions to ECG classification. Therefore, we add a spatial-temporal attention to each scale sub-network to emphasize the representative local spatial and temporal features. Our approach is evaluated on PTB-XL dataset and achieves 0.9307, 0.8152, and 89.11 on macro-averaged ROC-AUC score, a maximum F1 score, and mean accuracy, respectively. The experiment results have proven that our approach outperforms the baselines.

Design and Development of Large Electric Curtain Control System for Time Controlled

Shuo Cheng(정석),Yong Taek Chung(정용택),Xiang Fan Piao(박상범) 한국기계가공학회 2019 한국기계가공학회지 Vol.18 No.3

The purpose of this paper is to design a curtain control system for centralized management of large curtains, which includes curtain structure, electric curtain controller, communication system, user interface and remote control. Curtain structure is designed to avoid using limit switch. The system is based on microprocessor, determined the stop position and complete running time of electric curtain through time control, and achieved remote control of curtain opening and closing through wired and wireless communication modes. By establishment of a mathematical model to calculate the inertia compensation time of the electric curtain, the electric curtain can be stopped ahead of time, and the curtain can be completely closed by the inertia. The result of test experiment of 32 electric curtain controllers shows the communication success rate reached 100%.

CNN based data anomaly detection using multi-channel imagery for structural health monitoring

Shuo Wang,Shaik Althaf V. Shajihan,Guanghao Zhai,Billie F. Spencer Jr 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.1

Data-driven structural health monitoring (SHM) of civil infrastructure can be used to continuously assess the state of a structure, allowing preemptive safety measures to be carried out. Long-term monitoring of large-scale civil infrastructure often involves data-collection using a network of numerous sensors of various types. Malfunctioning sensors in the network are common, which can disrupt the condition assessment and even lead to false-negative indications of damage. The overwhelming size of the data collected renders manual approaches to ensure data quality intractable. The task of detecting and classifying an anomaly in the raw data is non-trivial. We propose an approach to automate this task, improving upon the previously developed technique of image-based pre-processing on one-dimensional (1D) data by enriching the features of the neural network input data with multiple channels. In particular, feature engineering is employed to convert the measured time histories into a 3-channel image comprised of (i) the time history, (ii) the spectrogram, and (iii) the probability density function representation of the signal. To demonstrate this approach, a CNN model is designed and trained on a dataset consisting of acceleration records of sensors installed on a long-span bridge, with the goal of fault detection and classification. The effect of imbalance in anomaly patterns observed is studied to better account for unseen test cases. The proposed framework achieves high overall accuracy and recall even when tested on an unseen dataset that is much larger than the samples used for training, offering a viable solution for implementation on full-scale structures where limited labeled-training data is available.