Analysis of capabilities and application characteristic of AIS

WANG shiyuan,XU kaiyu,XU zhijing,HU wenhua 한국항해항만학회 2006 한국항해항만학회 학술대회논문집 Vol.2006 No.-

This paper compares and analyzes the capabilities and application characteristic between the shipborne AIS and ARPA Radar、AIS base station and VTS Radar, give a brief introduction of the AIS base station network’s building and application in China, and give a discussion on the information fusion and technology integrated of AIS and ARPA Radar, AIS base station network and VTS Radar.

Identification of reference genes for normalization of gene expression in Liposcelis entomophila (Psocoptera: Liposcelididae)

Miao Shiyuan,Yang Binbin,Wang Suisui,Wang Zhengyan,Lu Yujie 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.4

Liposcelis entomophila is a nuisance pest that seriously threatens the safety of stored grains owing in part of pesticide resistance. To facilitate better control of L. entomophila, future studies need to focus on gene function characterization. This requires the identification of suitable reference genes (RGs) for reverse-transcription quantitative PCR (RT-qPCR), which is crucial for the normalization of target gene expression. Here, we evalu ated the expression stability of 12 candidate RGs in L. entomophila across six experimental conditions (devel opmental stage, population, body part, phosphine fumigation, hypoxia induction, and temperature treatment). Under developmental conditions, ACTB, HSP70, and RPL23 were the most stable RGs. Among the different populations and body parts, RPL23, EF1a, and ACTB were the most stable RGs. Comparison of gene expression among adults under different environmental conditions revealed that at least seven RGs were fit for normalizing gene expression data. Among them, RPL23, EF1a, and ACTB showed the best fit as RGs in RT-qPCR analysis. After validation, our results demonstrated that EF1a and ACTB, as well as their combination, were the ideal RGs for L. entomophila across various experimental conditions. This study provides a comprehensive RG selection sug gestion for gene expression studies of L. entomophila and will facilitate future functional genomic research on the development and tolerance of environmental factors in psocids.

HMM and HSS Based Social Behavior of Intelligent Vehicles for Freeway Entrance Ramp

Guangming Xiong,Yong Li,Shiyuan Wang,Xiaoyun Li,Peng Liu 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.10

In this paper, a novel approach of intelligent vehicle to interact and cooperate with other human driving vehicles is proposed at the freeway entrance ramp scenario. The system consists of a Safety Alert Module and Vehicle Control Module. The Safety Alert System module includes intention estimation and conflict judgment. A two dimension Hidden Markov Model (2DHMM) is used to estimate social vehicle’s driving intention in the intention estimation module. Then the conflict judgment module predicts the potential conflicts between the intelligent vehicle and social vehicle. Moreover, the hybrid state system (HSS) is introduced to control the intelligent vehicle while considering its decision making, states and dynamics. Co-simulation using PreScan and Simulink is conducted. The experiment results show that the intelligent vehicle performs well with a commendable social behavior in the freeway entrance ramp.

Screening a Panel of Acid-producing Strains by Developing a High-throughput Method

Lijuan Zhu,Hui Zhang,Shiyuan Wang,Anqi Zhao,Lingbo Qu,Wenlong Xiong,Md. Asraful Alam,Wenlong Ma,Yongkun Lv,Jingliang Xu 한국생물공학회 2022 Biotechnology and Bioprocess Engineering Vol.27 No.5

Organic acids are natural cellular metabolites, which are widely used in food, pharmaceutical, and chemical industries. Among them, L-lactic acid is of special interest, because it is widely used in food and pharmaceutical industries and its monopolymer (poly (lactic acid)) is a green, renewable, biodegradable, and biocompatible alternative to the petroleum-based polymers. Currently, organic acids are predominantly produced by microbial fermentation. Their productions have been substantially improved by genetic modifications, metabolic engineering, and fermentation optimizations. However, the commonly used microbial producers still suffer from low acidic tolerance. Screening higher tolerant acid-producing microorganisms from the nature is relatively less explored. The traditional fermented foods are good resources for the screening of acid-producing and probiotic microorganisms. However, they are relatively less explored, especially those foods in developing countries. To speed up the acid-producing microorganism screening, we developed and validated a high-throughput method in this study. By using this method, we screened 1,296 colonies in 4 days and obtained a panel of acid-producing microorganisms. Among them, a Lacticaseibacillus rhamnosus showed the potential for organic acid production and probiotics applications.

Demand‐based charging strategy for wireless rechargeable sensor networks

Ying Dong,Yuhou Wang,Shiyuan Li,Mengyao Cui,Hao Wu 한국전자통신연구원 2019 ETRI Journal Vol.41 No.3

A wireless power transfer technique can solve the power capacity problem in wireless rechargeable sensor networks (WRSNs). The charging strategy is a widespread research problem. In this paper, we propose a demand‐based charging strategy (DBCS) for WRSNs. We improved the charging programming in four ways: clustering method, selecting to‐be‐charged nodes, charging path, and charging schedule. First, we proposed a multipoint improved K‐means (MIKmeans) clustering algorithm to balance the energy consumption, which can group nodes based on location, residual energy, and historical contribution. Second, the dynamic selection algorithm for charging nodes (DSACN) was proposed to select on‐demand charging nodes. Third, we designed simulated annealing based on performance and efficiency (SABPE) to optimize the charging path for a mobile charging vehicle (MCV) and reduce the charging time. Last, we proposed the DBCS to enhance the efficiency of the MCV. Simulations reveal that the strategy can achieve better performance in terms of reducing the charging path, thus increasing communication effectiveness and residual energy utility.

An Analysis Method of Harmonic Transfer Characteristics From AC-side to DC -side of Modular Multilevel Converter

Pengfan Xu,Yue Wang,Taiyuan Yin,Shiyuan Yin,Zhang Wang,Kai Li 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5

With the development of new energy sources, more and more isolated islands are interconnected to grid through MMC. However, isolated islands systems are easily influenced by harmonic disturbances. The analytical analysis of the harmonic transfer characteristics between AC/DC side of the Modular Multilevel Converter (MMC) is of great significance for understanding the harmonic issues and stability analysis. In this paper, the quantitative analysis method of the harmonics on the DC-side excited by the AC-side harmonics of MMC is presented in this paper. First, the influence of harmonics on MMC electric system and control system is analyzed. Second, the equivalent MMC harmonic transfer model is established based on the average switching function. Finally, the analytical expression of DC-side harmonic transferred from AC-side is derived. A 232-level simulation model was built in MATLAB/Simulink. The accuracy and validity of the proposed analytical expression were verified by comparing the simulation results with the analytical results.

Effect of Ultrasonic Power on the Microstructure and Properties of 304 Stainless Steel Welded Joints Through Cold Metal Transfer Welding Assisted with Ultrasonication

Fei Li,Furong Chen,Peihu Gao,Wei Wang,Chenlong Yang,Shiyuan Liu 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.10

With the development of welding technology, low heat input and high efficiency cold metal transfer welding have become the main methods of thin plate welding. However, low heat input easily forms columnar crystals, which will endanger the mechanical properties of joints. Therefore, ultrasonication treatment was applied to the cold metal transfer welding of 304 stainless steel to conduct cold metal transfer welding assisted with ultrasonication in this paper. The comparison between cold metal transfer welding assisted with ultrasonication and cold metal transfer showed that the weld grain diameter obtained by cold metal transfer welding assisted with ultrasonication was finer. In the welded joint, the maximum grain size diameter of the weld seam in cold metal transfer welding assisted with ultrasonication decreased to 375 μm, and the maximum tensile strength of cold metal transfer welding assisted with ultrasonication increased to 734 MPa. The texture intensity of the weld seam in cold metal transfer was significantly greater than that of the weld seam in cold metal transfer welding assisted with ultrasonication, which was ascribed to the improvement of the microstructure of the weld seam in cold metal transfer welding assisted with ultrasonication. In cold metal transfer welding assisted with ultrasonication, the flow performance of the welding pool increased, and the ultrasonic cavitation degree was intensified. This resulted in the significant refinement of the weld grain, the reduction of texture intensity, and an increase in the tensile strength.

Energy Management Strategy of Plug-In Hybrid Electric Vehicles Considering Thermal Characteristics

Song Dafeng,Bi Daokun,Zeng Xiaohua,Wang Shiyuan 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.3

In order to explore the influence of the thermal management system (TMS) on vehicle energy management and tap the energy saving potential of TMS, this study establishes a vehicle energy management strategy control model oriented to reduce energy consumption of the TMS based on MATLAB/Simulink for a plug-in hybrid electric vehicle with planetary hybrid configuration. Firstly, a simulation model of vehicle dynamic machine - electric - thermal coupling working process is introduced, to evaluate the impact of TMS in the high and low temperature environment on energy consumption of the vehicle running. Then, based on the equivalent fuel consumption minimum strategy (ECMS) and considering the influence of TMS on energy consumption, an adaptive equivalent consumption minimum strategy model considering thermal characteristics (TAECMS) is established, which propose an improved adaptive equivalent factor adjustment method considering the thermal characteristics of the system is proposed. By establishing the Hamiltonian function to achieve the goal of minimum equivalent fuel consumption, considering the temperature penalty, the power of the engine and the power of the battery is reasonably allocated. Finally, the TAECMS control strategy achieves fuel saving of 6.2 % and 8.4 % respectively in high and low temperature environments through simulation verification and comparison.