Privacy-Preserving, Energy-Saving Data Aggregation Scheme in Wireless Sensor Networks

Liming Zhou,Yingzi Shan 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.1

Because sensor nodes have limited resources in wireless sensor networks, data aggregation can efficientlyreduce communication overhead and extend the network lifetime. Although many existing methods areparticularly useful for data aggregation applications, they incur unbalanced communication cost and waste lotsof sensors’ energy. In this paper, we propose a privacy-preserving, energy-saving data aggregation scheme(EBPP). Our method can efficiently reduce the communication cost and provide privacy preservation to protectuseful information. Meanwhile, the balanced energy of the nodes can extend the network lifetime in our scheme. Through many simulation experiments, we use several performance criteria to evaluate the method. Accordingto the simulation and analysis results, this method can more effectively balance energy dissipation and provideprivacy preservation compared to the existing schemes.

Continuous force excited bridge dynamic test and structural flexibility identification theory

Liming Zhou,Jian Zhang 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.71 No.4

Compared to the ambient vibration test mainly identifying the structural modal parameters, such as frequency, damping and mode shapes, the impact testing, which benefits from measuring both impacting forces and structural responses, has the merit to identify not only the structural modal parameters but also more detailed structural parameters, in particular flexibility. However, in traditional impact tests, an impacting hammer or artificial excitation device is employed, which restricts the efficiency of tests on various bridge structures. To resolve this problem, we propose a new method whereby a moving vehicle is taken as a continuous exciter and develop a corresponding flexibility identification theory, in which the continuous wheel forces induced by the moving vehicle is considered as structural input and the acceleration response of the bridge as the output, thus a structural flexibility matrix can be identified and then structural deflections of the bridge under arbitrary static loads can be predicted. The proposed method is more convenient, time-saving and cost-effective compared with traditional impact tests. However, because the proposed test produces a spatially continuous force while classical impact forces are spatially discrete, a new flexibility identification theory is required, and a novel structural identification method involving with equivalent load distribution, the enhanced Frequency Response Function (eFRFs) construction and modal scaling factor identification is proposed to make use of the continuous excitation force to identify the basic modal parameters as well as the structural flexibility. Laboratory and numerical examples are given, which validate the effectiveness of the proposed method. Furthermore, parametric analysis including road roughness, vehicle speed, vehicle weight, vehicle’s stiffness and damping are conducted and the results obtained demonstrate that the developed method has strong robustness except that the relative error increases with the increase of measurement noise.

Identification of a novel prognostic signature composed of 3 cuproptosis-related transcription factors in colon adenocarcinoma

Zhou Lei,Zhang Yuwan,Xu Yixin,Jiang Tao,Tang Liming 한국유전학회 2023 Genes & Genomics Vol.45 No.8

Background Since the mechanism of cuproptosis was recently revealed, many molecules related to this pathway have been widely concerned and exploited to have prognostic potential. However, it is still unknown whether the transcription factors related to cuproptosis could be competent as tumor biomarkers of colon adenocarcinoma (COAD). Objective To analyze the prognostic potential of cuproptosis-related transcription factors in COAD, and validate the representative molecule. Methods Transcriptome data and patients’ clinical parameters were obtained from the TCGA and GEO database. 19 cuproptosis genes were identified through literature consulting. Cuproptosis-related transcription factors were screened by COX regression analyses. Multivariate Cox regression was applied to construct the signature. Prognostic effects were evaluated by Kaplan Meier survival analyses and ROC analyses. KEGG, GO, and ssGSEA analyses were performed for function prediction. 48 COAD tissues were collected for immunohistochemistry stain to observe the expression level and prognostic value of E2F3. qRT-PCR was performed to detect mRNA expression levels, while cell viability assay was applied to detect the response of COAD cells to elesclomol treatment. Results A novel signature based on 3 prognostic transcription factors related to cuproptosis was successfully established and verified. Patients in the low-risk group tended to have better overall survival and lower immune phenotype scores than those in the high-risk group. Meanwhile, we also constructed a nomogram based on this signature and predict 10 candidate compounds targeting this signature. As an essential member of this signature, E2F3 was confirmed to be overexpressed in COAD tissues and was associated with poor prognosis of COAD patients. Importantly, CuCl2 and cuproptosis inducer elesclomol treatment could increase the expression of E2F3 in COAD cell while the overexpression of E2F3 significantly enhanced the resistance of COAD cells to elesclomol treatment. Conclusion Our research has identified a new prognostic biomarker and provides some innovative insights into the diagnosis and therapy of patients with COAD.

Influence of Al Addition Upon the Microstructure and Mechanical Property of Dual‑Phase 9Cr‑ODS Steels

Xiaosheng Zhou,Zongqing Ma,Liming Yu,Yuan Huang,Huijun Li,Yongchang Liu 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.1

With Al addition, dual-phase oxide dispersion strengthened (ODS) steels consisting of martensite and ferrite are fabricatedby spark plasma sintering. It is found that Al addition has a negligible effect on martensite lath size, while the amount andsize of ferrite grains are related to the Al content. M23C6(M = Fe, Cr) carbides have been identified within the ferrite grainsor along ferrite boundaries. With increasing Al concentration, more fine Y–Al–O oxide nanoparticles are formed. Uponannealing treatment, homogeneous and refined distribution of ferrite grains is obtained, which may involve the particlestimulatednucleation of recrystallization caused by the large sized M23C6. As Al is increased from 0.05 to 0.1 wt%, thetensile strength of the annealed steel is decreased, as well as its ductility. For the annealed 9Cr-ODS steel containing 0.1 wt%Al, in tensile loading the large sized M23C6along ferrite boundaries would facilitate the cracking along boundaries betweenthe hard annealed ferrite and soft annealed martensite, producing the mixed fracture of dimple and intergranular fracture.

Aircraft Recognition from Remote Sensing Images Based on Machine Vision

Lu Chen,Liming Zhou,Jinming Liu 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.4

Due to the poor evaluation indexes such as detection accuracy and recall rate when Yolov3 network detects aircraft in remote sensing images, in this paper, we propose a remote sensing image aircraft detection method based on machine vision. In order to improve the target detection effect, the Inception module was introducedinto the Yolov3 network structure, and then the data set was cluster analyzed using the kmeans algorithm. In order to obtain the best aircraft detection model, on the basis of our proposed method, we adjusted the network parameters in the pretraining model and improved the resolution of the input image. Finally, our methodadopted multiscale training model. In this paper, we used remote sensing aircraft dataset of RSODDataset to do experiments, and finally proved that our method improved some evaluation indicators. The experiment of this paper proves that our method also has good detection and recognition ability in other ground objects.

The Uptake of Intact Soluble Organic N by Two Forest Species in Subtropics

Shihe Xing,Biqing Zhou,Liming Zhang,Yanling Mao,Chengrong Chen 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Changes of Collagen in Sea Cucumber (Stichopus japonicas) During Cooking

Xiuping Dong,Beiwei Zhu,Liming Sun,Jie Zheng,Dan Jiang,Dayong Zhou,Haitao Wu,Yoshiyuki Murata 한국식품과학회 2011 Food Science and Biotechnology Vol.20 No.4

Changes of the collagen in sea cucumber (Stichopus japonicas) during cooking were investigated. Crude collagen fibers (CCF) is more sensitive to heat than pepsin-solubilized collagen (PSC), absorbance at 226-232nm increased from 60 to 100^oC. PSC nearly completely degraded after cooking for 8-10 h, 4-6 h, 1-1.5 h, 40-50 min, and 10-20 min at 60, 70, 80, 90, and 100^oC,respectively. Collagen fiber shrinkage, disappearance of periodic cross striation, complete denaturation, and dispersion of denatured fibers at 40, 60, 80 and 100^oC,respectively, were demonstrated by transmission electron microscope (TEM). Above results might be instructional for sea cucumber processing and collagen usage.

Antioxidant properties of a vegetable–fruit beverage fermented with two Lactobacillus plantarum strains

Xiaoxing Yang,Jiachun Zhou,Liqiang Fan,Zhen Qin,Qiming Chen,Liming Zhao 한국식품과학회 2018 Food Science and Biotechnology Vol.27 No.6

Fermented vegetable–fruit beverages are a popular fermented food, with many potential health benefits. In this study, two commercial Lactobacillus plantarum strains were selected to ferment a beverage containing apples, pears, and carrots. The metabolites and antioxidant activities were examined during the fermentation process. Results showed that lactic acid and acetic acid accumulated gradually, whereas malic acid decreased. Glucose and fructose increased from 0.48 and 14.8 g/L to 7.7 and 20.8 g/L, respectively, while sucrose decreased slightly. Ascorbic acid also increased continuously during the fermentation to 90.74 mg/100 mL. DPPH and ABTS radical scavenging activity and FRAP reached their maximum value after 4–8 days. The accumulation of TPC, TFC, and SOD reached their maximum value on the 8th day of fermentation. Our study revealed that the L. plantarum-fermented vegetable–fruit beverage showed significant antioxidant activity, which is helpful in evaluating the fermentation end-point and developing a high-quality fermented beverage.

Proline Enhances Torulopsis glabrata Growth during Hyperosmotic Stress

Sha Xu,Jingwen Zhou,Liming Liu,Jian Chen 한국생물공학회 2010 Biotechnology and Bioprocess Engineering Vol.15 No.2

This study investigated that the importing of compatible solute proline could enhance the growth of the yeast Torulopsis glabrata under hyperosmotic stress. Osmolarity progressively increased from 860 to 2,603mOsmol/kg by accumulation of sodium pyruvate in the culture broth, leading to a significant decrease in cell growth. When 1.0 g/L of proline as a compatible solute was added to the culture medium, it was imported and enhanced cell growth by 59.0% at 2,603 mOsmol/kg. By addition of proline during pyruvate production, the concentration,productivity, and yield of pyruvate increased 22.1, 38.4, and 14.3%, respectively. These results suggested that T. glabrata can import proline as an osmoprotectant against high osmotic stress, thus enhance pyruvate productivity. The improvement of yeast growth and viability under hyperosmotic stress by the addition of proline provided an alternative approach to enhance the organic acids production by yeast.

Extreme Value Prediction of Traffic Loads Using the Average Conditional Exceedance Rate Method

Liping Zhang,Jianqing Bu,Liming Zhou,Wenlong Cao,Cunbao Zhao,Wei Chai 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.12

An efficient prediction of the extreme value of traffic loads is crucial for the structural design, reliability evaluation, maintenance planning, and further life-cycle cost analysis of bridges. In this work, a novel method is proposed for predicting the appropriate extreme traffic load distribution. Specifically, the average conditional exceedance rate (ACER) statistical model is estimated from the historical traffic loads which was collected through a weigh-in-motion system installed in toll stations. The basic idea of the ACER approach lies in the introduction of a cascade of conditioning approximations and the average exceedance rate to capture the dependence effects and obtain the data tail, the trend features of which are fitted with a similar Gumbel distribution function and extrapolated to the concerned level. An illustration case dealing with traffic loads using the ACER strategy is presented, the extreme value and confidence interval (CI) in any return period can be predicted by application of this approach. Furthermore, the peaks-over-threshold (POT) method based on the asymptotic extreme theory is also applied to illustrate the advantages of the ACER method. The ACER method has advantages in analyzing extreme traffic loads, with good robustness and the ability to handle extreme value prediction for different sampling strategies, it also can produce more accurate confidence intervals and predicts consistent extreme values. The study results are expected to help accurately determine traffic loads and ensure safety in bridge engineering.