Color Digital Image Encryption Technology and Software Implementation based on Chaotic Map

Pei Wang 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.3

Digital image information security, is accompanied by the rapid development of computer network and multimedia technology and the emergence of new problems. In recent years, the image information on the Internet more and more popular, but for some image information relating to personal privacy and national security, we must take the secret transmission mode, the image encryption technology more and more attention, research has important image encryption technology practical significance. Based on MFC and Matlab7.0 development tools, the paper design color image based on coupling chaotic encryption algorithm developed into an application software that fully implements all the performance of the proposed design of the cryptographic algorithm, and a beautiful interface, easy operation intuitive algorithm evaluation function and so on. In this paper, a digital color image encryption algorithm based on chaotic mapping. It was proposed based on color image encryption algorithm disaster and chaos mapping combined color image encryption algorithm based on logistic mapping, and two encryption algorithms performance comparison and analysis.

Prognostic factors affecting structural integrity after arthroscopic rotator cuff repair: a clinical and histological study

Pei Wei Wang,Chris Hyunchul Jo 대한견주관절학회 2023 대한견주관절의학회지 Vol.26 No.1

Background: Tendon degeneration contributes to rotator cuff tears; however, its role in postoperative structural integrity is poorly understood. The purpose of this study was to investigate the factors associated with postoperative structural integrity after rotator cuff repair, particularly focusing on the histology of tendons harvested intraoperatively. Methods: A total of 56 patients who underwent primary arthroscopic rotator cuff repair between 2009 and 2011 were analyzed. A 3-mm-diameter sample of supraspinatus tendons was harvested en bloc from each patient after minimal debridement of the torn ends. Tendon degeneration was assessed using seven histological parameters on a semi-quantitative grading scale, and the total degeneration score was calculated. One-year postoperative magnetic resonance imaging was used to classify the patients based on retear. Results: The total degeneration scores in the healed and retear groups were 13.93±2.03 and 14.08±2.23 (p=0.960), respectively. Arthroscopically measured anteroposterior (AP) tear sizes in the healed and retear groups were 24.30±12.35 mm and 36.42±25.23 mm (p=0.026), respectively. Preoperative visual analog scale pain scores at rest in the healed and retear groups were 3.54±2.37 and 5.16±2.16 (p=0.046), respectively. Retraction sizes in the healed and retear groups were 16.02±7.587 mm and 22.33±13.364 mm (p=0.037), respectively. The odds of retear rose by 4.2% for every 1-mm increase in AP tear size (p=0.032). Conclusions: The postoperative structural integrity of the rotator cuff tendon was not affected by tendon degeneration, whereas the arthroscopically measured AP tear size of the rotator cuff tendon was an independent predictor of retear.

Meta-Learning Approaches for mmWave Path Loss Modeling in Smart Factories

Pei Wang,Hyukjoon Lee 한국통신학회 2022 ICT Express Vol.8 No.2

With the growing interest in both public and private 5G services based on millimeter wave (mmWave) communication for indoor usage scenarios such as smart factories, site design specialists are seeking sophisticated methods and tools for simulating indoor radio coverage based on highly accurate path loss prediction models. Although machine learning approaches can be used in path loss modeling thanks to the highly accurate prediction capability, their performance can be limited by the size of available measurement data set used for training. In this paper, we propose new approaches to train path loss models in the few-shot learning scenarios of smart factories. The proposed approaches are based on meta-learning with slight modifications to perform fine-tuning over an entire train data set rather than a meta-test data set. It is shown that the indoor path loss models based on convolutional neural networks (CNNs) trained by meta-learning based on three different meta-train task assignment schemes outperform both a conventional CNN model and an empirical model.

Measurement and influencing factors of agricultural trade level between China and South Korea under the background of “Belt and Road Initiative”

Wang Pei 한중경제문화학회 2023 한중경제문화연구 Vol.21 No.-

Basic, HCCbasic : PO-20 ; DUSP1 induces p53 target gene expression through p38MAPK/HSP27 pathway and tumor suppression in hepatocellular carcinoma

( Pei Pei Hao ),( Mi Jin Lee ),( Yun Peng Wang ),( Goung Ran Yu ),( In Hee Kim ),( Dae Ghon Kim ) 대한간학회 2012 춘·추계 학술대회 (KASL) Vol.2012 No.1

Background: Constitutive DUSP1 expression has been shown to be involved in cell cycle inhibition, apoptosis, and senescence. This study was aimed to examine whether DUSP1 functions as tumor suppressor in hepatocarcinogenesis and to explore underlying mechanism whereby DUSP1 suppresses hepatocarcinogenesis. Methods: Immunohistochemistry and real-time PCR analysis were performed in HCC tissues. Cellular localization of DUSP1 was detected by immunofluorescence. Cell proliferation was tested by MTT assay. Cell death and cell cycle were measured by FACS analysis. Apoptotic and kinase signaling were explored by western blot analysis. Tumorigenicity and survival analysis were tested by xenotransplant of SH-J1 cells stably expressing DUSP1 or infected with Ad-DUSP1 in mouse model. Phospho-related factors expression profile in DUSP1 stable cell lines as determined by phospho-kinase array. Results: The mRNA and protein expression level of DUSP1 was down-regulated in tumor than that of the corresponding non-tumor in HCC tissues. Cellular localization of DUSP1 showed that the endogenous DUSP1 and ectopic expression of GFP-tagged DUSP1 was mainly located in the nucleus. DUSP1 down-regulation was associated with reciprocal activation of ERK1/2 in HCC cell lines. DUSP1 was up-regulated in a dose dependent manner after parthenolide or doxorubicin treatment. DUSP1 over-expression was correlated with the increased susceptibility to apoptotic cell death through caspase activation. Ectopic DUSP1 over-expression resulted in the inhibitions of cell cycle progression, colony generation, and tumor growth in vitro and in vivo system. Furthermore, survival rate of mice xenoplanted with DUSP1 overexpressed HCC cells is significantly higher than control group. Inhibition of tumorigenic potential by DUSP1 may involve in p38MAPK- HSP27-P53 pathway. Conclusions: DUSP1 functions as a tumor suppressor during hepatocarcinogenesis, which seemed to be mainly associated with the activation of p53 target genes through p38MAPK/ HSP27 pathway.

Low salinity promotes the growth of broccoli sprouts by regulating hormonal homeostasis and photosynthesis

Pei Wang,Xinyue Li,Lu Tian,Zhenxin Gu,Runqiang Yang 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.1

Broccoli sprouts produce several bioactive compounds and are recognized as a health-promoting vegetable. In this study,the eff ect of salinity (NaCl) on the growth of broccoli sprouts was investigated. Broccoli seeds were germinated for 4 and 8d with spraying 0–120 mM NaCl and then harvested to evaluate changes in endogenous hormones, photosynthetic indices,chlorophyll fl uorescence parameters and chloroplast ultrastructure. The growth of sprouts was signifi cantly promoted by lowsalinity (40 and 80 mM NaCl) and inhibited by high salinity treatment (120, 160 and 200 mM NaCl). In 8-day-old sproutstreated with 80 mM NaCl, levels of abscisic acid, cytokinin, brassinolide, indole-3-acetic acid and gibberellic acid weresignifi cantly enhanced, while net photosynthetic rate increased in low salinity conditions was due to the elevated chlorophyllcontent and increased photosystem II activity. Furthermore, low salinity increased the leaf area maximally in both 4- and8-day-old sprouts. Enlarged chloroplast and an increased number of grana also contributed to improved photosynthesis. Low salinity conditions induced endogenous growth hormone synthesis and improved photosynthesis, thereby promotingthe growth of broccoli sprouts. This study provides a theoretical basis for the improved production of broccoli sprouts inlow salinity conditions.

Involvement of Yellow-y in the cuticle pigmentation of the larvae, pupae and adults in Henosepilachna vigintioctopunctata

Wang Pei,Ze Long-Ji,Jin Lin,Li Guo-Qing 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.1

Yellow-y (Y-y) contributes to the accumulation of melanins in insect cuticle. However, the underlining mecha nism requires further investigation. Two classical hypotheses have been proposed: Y-y acts as a dopachrome conversion enzyme (DCE) to accelerate biosynthesis of melanins; alternatively, Y-y serves as a cuticular anchor for pigments. Henosepilachna vigintioctopunctata is a serious defoliator attacking Solanaceae and Cucurbitaceae plants. The beetle shows a species-specific pigmentation pattern: stage-dependent dark patches are distributed on pale-yellow background. Here we noted that RNA interference (RNAi)-aided knockdown of Hvyellow-y at the newly-ecdysed second- and third-instar larval, and 1-day-old prepupal stages changed coloration in both dark patches and pale-yellow background. Black pigmentation was lightened in the Hvy-y hypomorphs, including various body portions such as larval heads, antennae, mouthparts, scoli, strumae, legs and exuviae, pupal and adult thoraces and abdomens, and adult elytra and hindwings. Moreover, the coloration background was yel lowed in the RNAi beetles. Specifically, more yellow pigments were observed to deposit around the black dorsal markings in the hypomorphic pupal metathorax. Furthermore, the boundaries between black patches and yellow background were distinct in the resultant ladybirds. Similarly, the margins around bristle follicles and droplet spots were not fuzzy within the RNAi pupal black patches. In summary, even though Y-y facilitates the pigmentation in H. vigintioctopunctata exocuticle, our data did not support the pigment anchor hypothesis.

Evaluation on Bilateral Trade and Countermeasures of Sino-Korea International Logistics Impact

Wang Pei 한중경제문화학회 2022 한중경제문화연구 Vol.19 No.-

Survival and Performance of Two Cellulose-Degrading Microbial Systems Inoculated into Wheat Straw-Amended Soil

( Pei Pei Li ),( Dong Dong Zhang ),( Xiao Juan Wang ),( Xiao Fen Wang ),( Zong Jun Cui1 ) 한국미생물 · 생명공학회 2012 Journal of microbiology and biotechnology Vol.22 No.1

A cellulose-degrading composite microbial system containing a mixture of microbes was previously shown to demonstrate a high straw-degrading capacity. To estimate its potential utilization as an inoculant to accelerate straw biodegradation after returning straw to the field, two cellulose-degrading composite microbial systems named ADS3 and WSD5 were inoculated into wheat straw-amended soil in the laboratory. The microbial survival of the inoculant was confirmed by a denaturing gradient gel electrophoresis (DGGE) analysis, whereas the enhancement of straw degradation in soil was assessed by measuring the mineralization of the soil organic matter and the soil cellulase activity. The results indicated that most of the DGGE bands from ADS3 were detected after inoculation into straw-amended autoclaved soil, yet only certain bands from ADS3 and WSD5 were detected after inoculation into straw-amended non-autoclaved soil during five weeks of incubation; some bands were detected during the first two weeks after inoculation, and then disappeared in later stages. Organic matter mineralization was significantly higher in the soil inoculants ADS3 and WSD5 than in the uninoculated controls during the first week, yet the enhanced degradation did not persist during the subsequent incubation. Similar to the increase in soil organic matter, the cellulase activity also increased during the first week in the ADS3 and WSD5 treatments, yet decreased during the remainder of the incubation period. Thus, it was concluded that, although the survival and performance of the two inoculants did not persist in the soil, a significant enhancement of degradation was present during the early stage of incubation.

An Autonomous Driving Approach Based on Trajectory Learning Using Deep Neural Networks

Wang Dan,Wang Canye,Wang Yulong,Wang Hang,Pei Feng 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.6

Autonomous driving approaches today are mainly based on perception-planning-action modular pipelines and the End2End paradigm respectively. The End2End paradigm is a strategy that directly maps raw sensor data to vehicle control actions. This strategy is very promising and appealing because complex module design and cumbersome data labeling are avoided. Since this approach lacks a degree of interpretability, safety and practicability. we propose an autonomous driving approach based on trajectory learning using deep neural networks in this paper. In comparison to End2End algorithm, it is found that the trajectory learning algorithm performs better in autonomous driving. As for trajectory learning algorithm, the CNN_Raw-RNN network structure is established, which is verified to be more effective than the original CNN_LSTM network structure. Besides, we propose an autonomous driving architecture of a pilot and copilot combination. The pilot is responsible for trajectory prediction via imitation learning with labeled driving trajectories, while the copilot is a safety module that is employed to verify the effectiveness of the vehicle trajectory by the results of the semantic segmentation auxiliary task. The proposed autonomous driving architecture is verified with a real car on urban roads without manual intervention within 40 km.