A wavelike sample introduction buffer used in microfluidic point-of-care testing (POCT) devices

Jingmin Li,Chao Liang,Chong Liu 한국생산제조학회 2016 한국생산제조시스템학회 학술발표대회 논문집 Vol.2016 No.10

The Deformation Characteristics of a 40-m-Deep Excavation Supported by a Suspended Diaphragm Wall in Rock and Soil Composite Ground

Gongchen Li,Qimin Li,Jian Wang,Jingmin Dong,Qiang Sun 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.3

A 40-m-deep large excavation of a subway station is relatively rare in the world. The retaining design scheme and deformation characteristics of suspended diaphragm walls with struts in rock and soil composite ground are introduced. The excavation is numerically simulated, and the reliability of the numerical model is verified by field-testing data. Then, by changing the parameters of the numerical model, the influences of the parameters on the deformation of the excavation are analysed. Research shows that the deformation characteristics of this superdeep excavation is different from the conventional foundation excavation. The superdeep excavation has a small scope of influence on the surrounding soil, the maximum lateral deformation of the supporting structure is also small, and the maximum ground settlement point is closer to the foundation pit. The most important influence on the lateral displacement of the superdeep excavation with the dual structure of rock and soil is the prestressing. The support method of the suspended diaphragm wall is reliable.

Load Prediction Based on Optimization Ant Colony Algorithm

Li Wei,Tang Jingmin,Ma Han,Fan Min,Liu Simiao,Wang Jie 대한전기학회 2023 Vol.18 No.1

Short-term load in the power system is associated with huge computational consumption and low model utilization. Large input fl uctuation tends to increase the training error of the neural network prediction model and reduce its generalization ability. To cope with this problem, this study aimed to introduce a method of radial basis function neural network algorithm based on least squares support vector machine algorithm. Based on the electricity market in an area of Yunnan province, the short-term loads were forecasted with historical data. First, the ant colony algorithm was improved using the chaos theory. Second, the improved ant colony was used to search least squares support vector machine and output the optimal parameters of the model. Then, the optimized model was used to train the data samples, and the output regression machine was used to provide better structures and parameters for the radial basis function neural network. The fi ndings showed that compared with multiple prediction methods, the algorithm in this paper reduces the learning time and improves the fi tting degree of the algorithm on the basis of improving the prediction accuracy. It shows that the algorithm in this paper has great advantages and good application prospects.

Load Prediction Based on Optimization Ant Colony Algorithm

Li Wei,Tang Jingmin,Ma Han,Fan Min,Liu Simiao,Wang Jie 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.1

Short-term load in the power system is associated with huge computational consumption and low model utilization. Large input fluctuation tends to increase the training error of the neural network prediction model and reduce its generalization ability. To cope with this problem, this study aimed to introduce a method of radial basis function neural network algorithm based on least squares support vector machine algorithm. Based on the electricity market in an area of Yunnan province, the short-term loads were forecasted with historical data. First, the ant colony algorithm was improved using the chaos theory. Second, the improved ant colony was used to search least squares support vector machine and output the optimal parameters of the model. Then, the optimized model was used to train the data samples, and the output regression machine was used to provide better structures and parameters for the radial basis function neural network. The findings showed that compared with multiple prediction methods, the algorithm in this paper reduces the learning time and improves the fitting degree of the algorithm on the basis of improving the prediction accuracy. It shows that the algorithm in this paper has great advantages and good application prospects.

Mechanism of the dynamic pressure caused by the instability of upper chamber coal pillars in Shendong coalfield, China

Weibing Zhu,Jingmin Xu,Yingchun Li 한국지질과학협의회 2017 Geosciences Journal Vol.21 No.5

In Shendong coalfield, severe support failure accidents caused by the dynamic pressure occurred frequently when longwall faces extracting the lower coal seam progress below the chamber coal pillars. These incidents largely threaten the personnel safety and regular operations. The rationale of the dynamic pressure has been investigated based on the movement law of the overlying strata. Experimental and numerical simulations of a longwall face in Shigetai coal mine agree well with the qualitative explanations. It is shown that the failure of the chamber coal pillars causes the sudden break and even rotation of the key strata, thereby leading to strong dynamic load that crushes the supports in the longwall face. Several guidelines have been proposed to prevent the occurrence of the dynamic pressure, the capability of which has been demonstrated by in situ practice in two longwall faces in Shendong coalfield.

群像特征、潜存风险与价值引领: 2023 年度热词背后的青年社会心态研究

李白(Bai Li),张静敏(Jingmin Zhang) YIXIN 출판사 2024 Journal of China Studies Vol.2 No.3

年度热词具有总结和预测作用,是考察青年社会心态的重要维度。2023 年度热词反映出当代青年普遍关注国家社会发展大势与科技前沿动态,他们的数字和科技素养普遍提升;拥有热爱生活和积极向上的乐观心态;具备一定的自我调节能力。同时,青年群体在后疫情时代显现的新型消费理念传达出正向心态变化。但是,部分负面热词也暴露了青年的社会心态偏差,他们对当下现状表示无力和焦虑、 存在社交孤闭和社交标签化的困境、受到了盲从心理的侵扰、部分负面热词的使用暴露出不良宣泄倾向等。规范热词使用、推广正面典型、直触现实问题,对于加强青年价值引领、纠正青年社会心态偏差、 构建青年正向社会心态具有重要意义。 Annual hot words have a summarizing and predictive role, and are an important dimension for examining the social mentality of young people. The hot words of 2023 reflect that contemporary youth are generally concerned about the national social development trend and cutting-edge technological trends, and their digital and technological literacy has generally improved; Having a love for life and a positive and optimistic attitude; Having a certain level of self-regulation ability. At the same time, the new consumption concepts that have emerged among young people in the post pandemic era convey positive psychological changes. However, some negative hot words also expose the social mentality bias of young people, who express powerlessness and anxiety towards the current situation, face difficulties in social isolation and labeling, are disturbed by blind obedience psychology, and the use of some negative hot words exposes negative venting tendencies. Standardizing the use of hot words, promoting positive examples, and directly addressing real-life issues are of great significance for strengthening the guidance of youth values, correcting deviations in youth social attitudes, and building positive social attitudes among young people.

Research on the Vibration Band Gaps of Isolator Applied to Ship Hydraulic Pipe-Support based on the Theory of Phononic Crystals

WEI Zhendong,DU Jingmin,LIAO Lihui,Yang Gang,LI Baoren 유공압건설기계학회 2015 유공압건설기계학회 학술대회논문집 Vol.2015 No.10

According to theory of phononic crystals (PCs), a ship hydraulic pipeline isolator with one-dimensional periodic composite structure is designed, which is composed of metal and rubber. The vibration of ship hydraulic pipeline can be suppressed by the band gaps (BGs) of the isolator. The band structure and frequency response function (FRF) of the isolator is figured out by the finite element method (FEM). To obtain the best frequency ranges and width of the BGs, the influences of various material, lattice constant and fineness ratio are considered, and the best structure parameters were also obtained. The results revealed that the isolator has axial vibration BGs with frequencies from 400 Hz to 10000 Hz, and the maximum vibration attenuation is up to 150 dB. The research provides a new technical method to control vibration of ship hydraulic pipeline.

FLOW ANALYSIS AND THEORETICAL DESIGN OF DIESEL ENGINE EXHAUST PORT

Fushui Liu,Yang Xu,Jingmin Rui,Zhongjie Shi,Yikai Li 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.1

Exhaust port is an important part of a diesel engine which affects the combustion and emission. It is important to have a good design for exhaust port. In this paper, the calculation formula of the optimal area ratio (Kopt) of outlet and inlet of exhaust port was derived. The formula shows that Kopt is only determined by relative pressure difference (RPD). Then influence of the area ratio (K) of outlet and inlet on flow capacity of exhaust port and the trend of Kopt with relative pressure difference were studied numerically to verify the validity and applicability of the formula. The numerical results shows that the mass flow rate increases first and then keeps constant with the increase of K at the same RPD. Kopt exists and decreases first and then keeps constant with the increase of RPD. The numerical trend is consistent with theoretical trend and the errors between maximum mass flow rates of numerical results and actual mass flow rates at theoretical optimal area ratios are all less than 5 % meeting engineering accuracy. It is indicated that the derived formula is correct and applicable. When an exhaust port is designed, the outlet area can be estimated by this formula.

Research on Low Shock Optimization Control of Ship Steering Hydraulic System

Lihui Liao,Baoren Li,Jingmin DU,Zhendong Wei 유공압건설기계학회 2015 유공압건설기계학회 학술대회논문집 Vol.2015 No.10

In this study, the valve control ship steering hydraulic system (SSHS) is designed and set up for research on the low hydraulic shock control. As the hydraulic shock phenomenon is serious with traditional PID control, a fuzzy control method is proposed to replace the traditional proportional-integral-differential (PID) control method for low shock optimization control of the valve control ship steering hydraulic system (VCSSHS) through reasonable design of fuzzy control rules. Simulation models of the VCSSHS are set up to have a comparative research of the traditional PID control method and the proposed fuzzy control method, which indicates that the proposed fuzzy control method could greatly reduce the amplitude of hydraulic shock in the process of ship rudder position adjustment.

Selection of Potential Virulence Factors Contributing to Streptococcus suis Serotype 2 Penetration into the Blood-Brain Barrier in an In Vitro Co-Culture Model

( Hongtao Liu ),( Seng Zhu ),( Yingying Sun ),( Na Li ),( Jingmin Gu ),( Changjiang Sun ),( Xin Feng ),( Wenyu Han ),( Jianxia Jiang ),( Liancheng Lei ) 한국미생물 · 생명공학회 2017 Journal of microbiology and biotechnology Vol.27 No.1

Meningitis caused by Streptococcus suis serotype 2 (S. suis 2) is a great threat to the pig industry and human health. Virulence factors associated with the pathogenesis of meningitis have yet to be clearly defined, even though many potential S. suis 2 virulence factors have been identified. This greatly hinders the progress of S. suis 2 meningitis pathogenesis research. In this study, a co-culture blood-brain barrier (BBB) model was established using primary porcine brain microvascular endothelial cells and astrocytes, and the whole genome library of S. suis 2 was constructed using phage display technology. Finally, a total of 14 potential virulence factors contributing to S. suis 2 adherence to and invasion of the BBB were selected by analyzing the interactions between the phage library and the co-culture model. Twelve of these factors have not been previously reported in meningitis-related research. The data provide valuable insight into the pathogenesis of S. suis 2 meningitis and potential targets for the development of drug therapies.