The Green Project of Data Management for Industrial Integration

Yiming Tian,Keyu Zhu,Ruoyu Pan,Changyong Liang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.6

Research on 5G Core Network Trust Model Based on NF Interaction Behavior

Zhu, Ying,Liu, Caixia,Zhang, Yiming,You, Wei Korean Society for Internet Information 2022 KSII Transactions on Internet and Information Syst Vol.16 No.10

The 5G Core Network (5GC) is an essential part of the mobile communication network, but its security protection strategy based on the boundary construction is difficult to ensure the security inside the network. For example, the Network Function (NF) mutual authentication mechanism that relies on the transport layer security mechanism and OAuth2.0's Client Credentials cannot identify the hijacked NF. To address this problem, this paper proposes a trust model for 5GC based on NF interaction behavior to identify malicious NFs and improve the inherent security of 5GC. First, based on the interaction behavior and context awareness of NF, the trust between NFs is quantified through the frequency ratio of interaction behavior and the success rate of interaction behavior. Second, introduce trust transmit to make NF comprehensively refer to the trust evaluation results of other NFs. Last, classify the possible malicious behavior of NF and define the corresponding punishment mechanism. The experimental results show that the trust value of NFs converges to stable values, and the proposed trust model can effectively evaluate the trustworthiness of NFs and quickly and accurately identify different types of malicious NFs.

Enhancing the hydrolysis of corn starch using optimal amylases in a high-adjunct-ratio malt mashing process

Linjiang Zhu,Ting Ma,Yiming Mei,Qi Li 한국식품과학회 2017 Food Science and Biotechnology Vol.26 No.5

Incompletely degraded corn starch particles often seriously inhibit wort filtration and decrease a brewery’s beer productivity. Herein, the inhibiting factors of starch hydrolysis and the application of amylases to degrade residual starch were evaluated. The results showed that resistant starch and the amylopectin of corn starch were not the inhibiting factors. Almost all residual starch left in the spent grain layer was proved to be degradable by amylases. Mesophilic a-amylase was selected through a comparison of nine amylases, which increased the wort filtration rate by 44%. However,[6% of corn starch was still left after mashing when a high ratio of corn starch to water ([1:3.5) was used in liquefaction. The low water content in liquefaction was proved to be the key inhibiting factor. Considering the existing equipment and brewing technology, the application of mesophilic a-amylases should be a simple and effective method for enhancing the hydrolysis of corn starch and accelerating the wort lautering process during a high-adjunct-ratio beer brewing process.

Fixed-time Parameter Estimation and Control Design for Unknown Robot Manipulators with Asymmetric Motion Constraints

Chengzhi Zhu,Yiming Jiang,Chenguang Yang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1

Most of the existing identification/control algorithm of uncertain robot manipulators have been proposed to achieve model identification and trajectory tracking with expected precision, but the convergence time and transient tracking performance have been rarely discussed. In this paper, an adaptive fixed-time estimation algorithm is proposed for an uncertain robot. A recursive update law combined with an auxiliary filtering technique has been exploited such that the measurement of acceleration signals could be avoided during the estimation process. Based on the results of parameter identification, we propose a fixed-time control scheme which can guarantee the specified motion performance and prescribed convergence time simultaneously. The tiny practical error of parameter identification can be effectively handled with the proposed control scheme. Finally, the simulation results based on an uncertain 2-DOF robot have demonstrated the effectiveness of the proposed identification/control algorithm.

Influence of Water on the Fracture Process of Marble with Acoustic Emission Monitoring

Jun Zhu,Jianhui Deng,Yiming Huang,Zhiliang He 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.7

Water has a great influence on rock fracture process, and it is necessary to explore the activity of cracks for saturated rocks at key stress points. By uniaxial compression test and acoustic emission (AE) tests, four key points of stress-strain curve for dry and saturated marble specimens are determined. Those four key stress points include: crack closure stress (point A), crack initiation stress (point B), crack damage stress (point C) and peak stress (point D). By analyzing dominant frequencies and amplitude of AE waveforms of the whole loading process and in the vicinity of key points, the fracture process of samples was studied. The results show that there are two concentrations of dominant frequency bands in both dry and saturated marble, and the ranges of dominant frequency bands of the saturated seem wider. Due to the existence of water, the number and energy of AE waveforms decrease relatively during the whole test. This phenomenon indicates that water enhances the ductility and creep characteristics of rock. The appearance of lots of AE waveform signals with low dominant frequency is the precursor information of intense crack propagation and failure for dry rock, and the effects of water increased the number of micro-tensile failures for saturated rock in the vicinity of each key point. From point A, point B, point C to point D, the proportions of H-type bands in the vicinity of each key point for dry rock show a trend of increasing - decreasing - sharply decreasing, while those for saturated rock follow the law of increasing - decreasing - increasing.

Prediabetes Progression and Regression on Objectively- Measured Physical Function: A Prospective Cohort Study

Qiu Shanhu,Yiming Zhu,Bo Xie,Wenji Chen,Duolao Wang,Cai Xue,Sun Zilin,Tongzhi Wu 대한당뇨병학회 2023 Diabetes and Metabolism Journal Vol.47 No.6

Background: Prediabetes leads to declines in physical function in older adults, but the impact of prediabetes progression or regression on physical function is unknown. This study assessed this longitudinal association, with physical function objectivelymeasured by grip strength, walking speed, and standing balance, based on the Health and Retirement Study enrolling United States adults aged >50 years.Methods: Participants with prediabetes were followed-up for 4-year to ascertain prediabetes status alteration (maintained, regressed, or progressed), and another 4-year to assess their impacts on physical function. Weak grip strength was defined as <26 kg for men and <16 kg for women, slow walking speed was as <0.8 m/sec, and poor standing balance was as an uncompleted fulltandem standing testing. Logistic and linear regression analyses were performed.Results: Of the included 1,511 participants with prediabetes, 700 maintained as prediabetes, 306 progressed to diabetes, and 505 regressed to normoglycemia over 4 years. Grip strength and walking speed were declined from baseline during the 4-year followup, regardless of prediabetes status alteration. Compared with prediabetes maintenance, prediabetes progression increased the odds of developing weak grip strength by 89% (95% confidence interval [CI], 0.04 to 2.44) and exhibited larger declines in grip strength by 0.85 kg (95% CI, –1.65 to –0.04). However, prediabetes progression was not related to impairments in walking speed or standing balance. Prediabetes regression also did not affect any measures of physical function.Conclusion: Prediabetes progression accelerates grip strength decline in aging population, while prediabetes regression may not prevent physical function decline due to aging.

A Method for The Evaluating Performance of High Power Electromagnetic Transmitter

Xiguo Ren,Yiming Zhang,Haijun Tao,Xuezheng Zhu 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.9

In recent years, the Earth's resources have the obvious contradiction between supply and demand. Electromagnetic has become the most effective means for prospecting geological structure. In the electromagnetic method, the transmission frequency has a significant impact on the reception and subsequent analysis. Therefore, the distribution and stability of the actual transmission frequency is an extremely important factor in judging for the transmitter. This paper presents an assessment method of the transmitting the performance parameters for the high-power electromagnetic transmitter. This method can intuitively observe the actual transmission frequency by the position machine when the transmitter is working. And the frequency distribution and stability could be got by Matlab. After a large number of comparative field trials, this method is verified which could quickly and efficiently get the frequency distribution and stability of the actual transmitting. This method could provide a basis for future inversion calculation and have a guiding role for the transmitter optimization.

Adaptive Digital Predictive Peak Current Control Algorithm for Buck Converters

Yu Zhang,Yiming Zhang,Xuhong Wang,Wenhao Zhu 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.3

Digital current control techniques are an attractive option for DC-DC converters. In this paper, a digital predictive peak current control algorithm is presented for buck converters that allows the inductor current to track the reference current in two switching cycles. This control algorithm predicts the inductor current in a future period by sampling the input voltage, output voltage and inductor current of the current period, which overcomes the problem of hardware periodic delay. Under the premise of ensuring the stability of the system, the response speed is greatly improved. A real-time parameter identification method is also proposed to obtain the precision coefficient of the control algorithm when the inductance is changed. The combination of the two algorithms achieves adaptive tracking of the peak inductor current. The performance of the proposed algorithms is verified using simulations and experimental results. In addition, its performance is compared with that of a conventional proportional-integral (PI) algorithm.

Cybersolim: An Easy and Fast Online Digital Soil Mapping Prototype System

Jingchao Jiang,Axing Zhu,Yiming An 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Early Plasma Circulating Tumor DNA as a Potential Biomarker of Disease Recurrence in Non-metastatic Prostate Cancer

Xiaochen Fei,Xinxing Du,Yiming Gong,Jiazhou Liu,Liancheng Fan,Jiayi Wang,Yanqing Wang,Yinjie Zhu,Jiahua Pan,Baijun Dong,Wei Xue 대한암학회 2023 Cancer Research and Treatment Vol.55 No.3

Purpose In non-metastatic prostate cancer (nmPCa) setting, it is important to early identify the patients at risk of biochemical recurrence (BCR) for immediate postoperative intervention. Our study aimed to evaluate the potential clinical utility of circulating tumor DNA (ctDNA) for predicting disease recurrence.Materials and Methods This real-world observational study evaluated 161 cases of nmPCa undergoing next-generation sequencing at our institution. A total of 139 ctDNA samples and 31 biopsied tumor tissue underwent genomic profiling. The study endpoint was BCR after radical prostatectomy. Relationships between the ctDNA status and the biochemical progression-free survival (bPFS) were analyzed by log-rank test and multivariate Cox regression.Results Of 161 enrolled patients, 19 (11.8%) harbored deleterious alterations in <i>NCOR2</i>, followed by <i>BRCA2</i> (3.7%), <i>ATR</i> (2.5%), and <i>CDK12</i> (2.5%). Of available pre-operative blood samples (n=139), ctDNA was detectable in 91 (65.5%). Until last follow-up, 56 of 68 patients (85.3%) with detectable ctDNA had achieved BCR, whereas only eight of 39 patients (20.5%) with undetectable ctDNA had achieved BCR. Patients who had undetectable ctDNA experienced significantly longer bPFS compared with those who had detectable ctDNA (not available vs. 8.2 months; hazard ratio, 0.14; p < 0.01). Pre-operative ctDNA status was a significant prognostic factor of disease recurrence.Conclusion Pre-operative ctDNA detection could identify patients at high risk of recurrence and has the potential to inform immediate postoperative interventions, but these approaches remain to be validated in prospective studies. ctDNA studies can provide insights into accurate monitoring and precise treatment rather than simply following routine clinical care.