Failure Modeling of Bridge Components Subjected to Blast Loading

Jun Wei,Russ Quintero,Nestore Galati,Antonio Nanni 한국콘크리트학회 2007 International Journal of Concrete Structures and M Vol.1 No.1

UV-INDUCED POLYMERIZATION OF SIZE-CONTROLLED PLATINUM/POLY[STYRENE-DIVINYLBENZENETRI( PROPYLENE GLYCOL) DIACRYLATE] HYDROPHOBIC CATALYST BEADS IN MICROFLUIDICS

Jun Wei , 한국원자력학회 2015 Nuclear Engineering and Technology Vol.47 No.6

The catalytic exchange of hydrogen isotopes between hydrogen and water has been knownto be a very useful process for the separation of tritium from tritiated water. For the process,a highly active hydrophobic catalyst is needed. This study provides an effectivefabrication method of size-controlled platinum/poly[styrene-divinylbenzene-tri(propyleneglycol) diacrylate] [Pt/poly(SDB-TPGDA)] hydrophobic catalyst beads with a narrow sizedistribution. Platinum nanoparticles were prepared by g-ray-induced reduction in theaqueous phase first, and then uniformly dispersed in SDB-TPGDA comonomer after thehydrophobization of platinum nanoparticles with alkylamine stabilizers. The porous Pt/poly(SDB-TPGDA) hydrophobic catalyst beads were synthesized by the UV-initiated polymerizationof the mixture droplets prepared in a capillary-based microfluidic system. Thesize of as-prepared catalyst beads can be controlled in the range of 200e1,000 mm byadjusting the flow rate of dispersed and continuous phases, as well as the viscosity of thecontinuous phase. Sorbitan monooleate and cyclohexanol were used as coporogens tocontrol the porosities of the catalyst beads.

Label-free Microarray-based Binding Affinity Constant Measurement with Modified Fluidic Arrangement

junwei Hu,Ru Chen,Chenggang Zhu,Bilin Ge,Xiangdong Zhu,Lan Mi,Jiong Ma,Caiqin Han,Hao Chen,Yiyan Fei 한국바이오칩학회 2018 BioChip Journal Vol.12 No.1

The oblique-incidence reflectivity difference (OI-RD) scanning microscopy has the capability of simultaneously measuring binding curves of a protein probe with tens of thousands molecular targets in a microarray and yielding reaction rate constants. However, the quality of reaction rate constants is influenced by the fluidic system. To improve the quality of reaction rate constant measurement over the entire microarray, we demonstrate a fluidic chamber that allows the fluid to flow from the bottom to the top uniformly across the microarray and thus provides more uniform and accurate measurements of reaction rate constants with simplified fluidic design.

Geological characteristics and main controlling factors of Permian lacustrine tight oil in the eastern part of the Junggar Basin

Junwei Zhao,Huaimin Xu,Cui He,Lin Li,Zhen Yi,Huijing Fang,Zhicheng Lei 한국지질과학협의회 2017 Geosciences Journal Vol.21 No.2

The Junggar basin is rich in oil and gas resources, and recently, unconventional oil and gas reservoirs have become important targets. Significant amounts of oil and gas are located in Permian formations in the Shazhang–Dajing area, however, fewer studies have focused on unconventional oil and gas reservoirs, particularly on the factors controlling the distribution of unconventional reservoirs. In this study, a sequence stratigraphic framework of the study area was developed based on cores, well logs and seismic data. Source rock samples were analyzed, including tests of kerogen, vitrinite reflectance, chloroform bitumen, organic carbon and group composition. The physical properties and pore characteristics of reservoir samples were also analyzed using scanning electron microscope and high resolution electron microscope. The Permian Pingdiquan Formation comprises three thirdorder sequences in which individual sequence can be divided into a low-stand system tract (LST), a transgression system tract (TST), an early high-stand system tract (E-HST), and a late high-stand system tract (L-HST). Several source rock lithologies have high total organic carbon (TOC), and are matured, having excellent hydrocarbon generation potential. Clastic and dolomitic rocks are the main reservoirs, and nanometer-scale pores are the main reservoir space in the tight reservoirs. The distribution of tight oil is controlled by the sequence stratigraphy, palaeogeomorphic units, and sedimentary facies. The fine sediments, which were generally deposited near the initial flooding surface (FFS) and the maximum flooding surface (MFS), are favorable zones for tight oil. The distributions of the hydrocarbon source rocks are controlled by the depositional environment, depending on the palaeogeomorphic units; the deep depression in the Huoshaoshan area and the moderately-deep depression in the Shishugou area are two distinct hydrocarbon generating centers. The distribution of tight oil is clearly controlled by the sedimentary facies; the tight oil is mainly located in the fan delta front and lacustrine depositional environments. The distribution of tight oil in this area is summarized, and favorable areas of tight oil are proposed.

Low‐complexity de‐mapping algorithms for 64‐APSK signals

Junwei Bao,Dazhuan Xu,Xiaofei Zhang,Hao Luo 한국전자통신연구원 2019 ETRI Journal Vol.41 No.3

Due to its high spectrum efficiency, 64‐amplitude phase‐shift keying (64‐APSK) is one of the primary technologies used in deep space communications and digital video broadcasting through satellite‐second generation. However, 64‐APSK suffers from considerable computational complexity because of the de‐mapping method that it employs. In this study, a low‐complexity de‐mapping method for (4 + 12 + 20 + 28) 64‐APSK is proposed in which we take full advantage of the symmetric characteristics of each symbol mapping. Moreover, we map the detected symbol to the first quadrant and then divide the region in this first quadrant into several partitions to simplify the formula. Theoretical analysis shows that the proposed method requires no operation of exponents and logarithms and involves only multiplication, addition, subtraction, and judgment. Simulation results validate that the time consumption is dramatically decreased with limited degradation of bit error rate performance.

Design and Optimization for Distributed Compress-and-Forward System based on Multi-Relay Network

( Junwei Bao ),( Dazhuan Xu ),( Hao Luo ),( Ruidan Zhang ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.6

A novel distributed compress-and-forward (CF) system based on multi-relay network is presented. In this system, as the direct link between the source and destination is invalid due to some reasons, such as the limited power, special working environment, or even economic factors, relays are employed to receive analog signals and carry on distributed compressed encoding. Subsequently, the digital signals are transmitted to the destination via wireless channel. Moreover, a theoretical analysis for the system is provided by utilizing the Chief Executive Officer (CEO) theory and Shannon channel capacity theory, and the rate-distortion function as well as the connection between the transmission rate and the channel capacity are constructed. In addition, an optimal signal-to-noise ratio (SNR) -based power allocation method is proposed to maximize the quantization SNR under the limited total power. Simulation result shows that the proposed CF system outperforms the amplify-and-forward (AF) system versus the SNR performance.

Reidentification of pheromone composition of Sparganothis sulfureana (Clemens) and evidence of geographic variation in male responses from two US states

Junwei Zhu,Kye-Chung Park,Carolyn Garvey,Daniel Mahr,Satoshi Nojima,Wendell Roelofs,Tom Baker,Sridhar Polavarapu 한국응용곤충학회 2009 Journal of Asia-Pacific Entomology Vol.12 No.4

GC-EAD analyses of pheromone gland extracts of calling female Sparganothis sulfureana revealed at least 6 compounds that consistently elicited antennal responses from male antennae. In addition to the major pheromone compound, (E)-11-tetradecenyl acetate (E11–14:OAc), which was previously reported, the other compounds were found to be (E)-9-dodecenyl acetate (E9–12:OAc), (Z)-9-dodecenyl acetate (Z9–12:OAc), (Z)-9-tetradecenyl acetate (Z9–14:OAc), (Z)-11-tetradecenyl acetate (Z11–14:OAc), and (E)-11-tetradecenol (E11–14:OH). Tetradecyl acetate, hexadecyl acetate and hexadecenyl acetates were also present in the extracts, but elicited no EAG response frommale antennae. Wind tunnel tests demonstrated that males from NewJersey responded equally well to a blend containing five pheromone components in relative to the pheromone glands of calling females. Different male-response profiles from field-trapping tests conducted in the states of Wisconsin and NewJersey were observed, respectively. Significantly higher numbers of male S. sulfureana were caught in New Jersey in traps baited with the binary blend of E11–14:OAc (30 μg) with 1% of Z11–14:OAc, but males from Wisconsin responded equally well to traps containing blends of E11–14:OAc with 0–10% of Z11–14: OAc. The addition of more than 10% of Z11–14:OAc to the primary pheromone compound reduced male captures significantly in both states. Male catches were doubled by adding E9–12:OAc and E11–14:OH to the most attractive binary blend in both states. The trapping test with caged live virgin female moths showed that males in Wisconsin preferred females from the local population than those from NewJersey. The differences in male responses observed may indicate the existence of pheromone polymorphism in this species. GC-EAD analyses of pheromone gland extracts of calling female Sparganothis sulfureana revealed at least 6 compounds that consistently elicited antennal responses from male antennae. In addition to the major pheromone compound, (E)-11-tetradecenyl acetate (E11–14:OAc), which was previously reported, the other compounds were found to be (E)-9-dodecenyl acetate (E9–12:OAc), (Z)-9-dodecenyl acetate (Z9–12:OAc), (Z)-9-tetradecenyl acetate (Z9–14:OAc), (Z)-11-tetradecenyl acetate (Z11–14:OAc), and (E)-11-tetradecenol (E11–14:OH). Tetradecyl acetate, hexadecyl acetate and hexadecenyl acetates were also present in the extracts, but elicited no EAG response frommale antennae. Wind tunnel tests demonstrated that males from NewJersey responded equally well to a blend containing five pheromone components in relative to the pheromone glands of calling females. Different male-response profiles from field-trapping tests conducted in the states of Wisconsin and NewJersey were observed, respectively. Significantly higher numbers of male S. sulfureana were caught in New Jersey in traps baited with the binary blend of E11–14:OAc (30 μg) with 1% of Z11–14:OAc, but males from Wisconsin responded equally well to traps containing blends of E11–14:OAc with 0–10% of Z11–14: OAc. The addition of more than 10% of Z11–14:OAc to the primary pheromone compound reduced male captures significantly in both states. Male catches were doubled by adding E9–12:OAc and E11–14:OH to the most attractive binary blend in both states. The trapping test with caged live virgin female moths showed that males in Wisconsin preferred females from the local population than those from NewJersey. The differences in male responses observed may indicate the existence of pheromone polymorphism in this species.

Recent Advances in Pest Control Using Environmental-Friendly Methods

Junwei Zhu 한국응용곤충학회 2005 한국응용곤충학회 학술대회논문집 Vol.2005 No.05

Network Traffic Classification Based on Deep Learning

( Junwei Li ),( Zhisong Pan ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.11

As the network goes deep into all aspects of people's lives, the number and the complexity of network traffic is increasing, and traffic classification becomes more and more important. How to classify them effectively is an important prerequisite for network management and planning, and ensuring network security. With the continuous development of deep learning, more and more traffic classification begins to use it as the main method, which achieves better results than traditional classification methods. In this paper, we provide a comprehensive review of network traffic classification based on deep learning. Firstly, we introduce the research background and progress of network traffic classification. Then, we summarize and compare traffic classification based on deep learning such as stack autoencoder, one-dimensional convolution neural network, two-dimensional convolution neural network, three-dimensional convolution neural network, long short-term memory network and Deep Belief Networks. In addition, we compare traffic classification based on deep learning with other methods such as based on port number, deep packets detection and machine learning. Finally, the future research directions of network traffic classification based on deep learning are prospected.

Self-Assembly of Gold Nanoparticles on Gold Core-Induced Polypyrrole Nanohybrids for Electrochemical Sensor of Dopamine

Junwei Ding,Kai Zhang,Wei Xu,Zhiqiang Su 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2015 NANO Vol.10 No.8

Gold core-induced polypyrrole nanohybrids (Au–PPyNHs) were successfully synthesized via in situ chemical oxidation polymerization of pyrrole molecules, and their structure was directly confirmed and characterized by scanning electron microscopy, transmission electron microscopy, Fourier transform infrared spectroscopy and X-ray diffraction. Furthermore, gold nanoparticles (AuNPs) were assembled onto the as-prepared Au–PPyNHs by electrostatic interaction to fabricate the nanohybrids of Au–PPyNH–Au. The created Au–PPyNH–Au nanohybrids was immobilized onto glassy carbon electrode and applied to construct dopamine (DA) sensor. We found that the fabricated sensor with Au–PPyNH–Au nanohybrids is highly specific probe for sensing DA. The Au–PPyNH–Au based DA sensor has a linear detection range from 1 µM to 0.321 mM and a detection limit of 0.32 µM.