Decomposition-based multi-objective firefly algorithm for RFID network planning with uncertainty

Zhao, Chuanxin,Wu, Changzhi,Chai, Jian,Wang, Xiangyu,Yang, Xinmin,Lee, Jae-Myung,Kim, Mi Jeong Elsevier 2017 Applied soft computing Vol.55 No.-

<P>Radio frequency identification (RFID) is widely used for item identification and tracking. Due to the limited communication range between readers and tags, how to configure a RFID system in a large area is important but challenging. To configure a RFID system, most existing results are based on cost minimization through using 0/1 identification model. In practice, the system is interfered by environment and probabilistic model would be more reliable. To make sure the quality of the system, more objectives, such as interference and coverage, should be considered in addition to cost. In this paper, we propose a probabilistic-based multi-objective optimization model to address these challenges. The objectives to be optimized include number of readers, interference level and coverage of tags. A decomposition based firefly algorithm is designed to solve this multi-objective optimization problem. Virtual force is integrated into random walk to guide readers moving in order to enhance exploitation. Numerical simulations are introduced to demonstrate and validate our proposed method. Comparing with existing methods, such as Non-dominated Sorting Genetic Algorithm-II and Multi-objective Particle Swarm Optimization approaches, our proposed method can achieve better performance in terms of quality metric and generational distance under the same computational environment. However, the spacing metric of the proposed method is slightly inferior to those compared methods. (C) 2017 Elsevier B.V. All rights reserved.</P>

A Method for Generating Malware Countermeasure Samples Based on Pixel Attention Mechanism

Xiangyu Ma,Yuntao Zhao,Yongxin Feng,Yutao Hu 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.2

Studies have shown that malware has become a primary means of attacking the Internet. Therefore, adversarial samples have become a vital breakthrough point for studying malware. By studying adversarial samples, we can gain insights into the behavior and characteristics of malware, evaluate the performance of existing detectors in the face of deceptive samples, and help to discover vulnerabilities and improve detection methods for better performance. However, existing adversarial sample generation methods still need help regarding escape effectiveness and mobility. For instance, researchers have attempted to incorporate perturbation methods like Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and others into adversarial samples to obfuscate detectors. However, these methods are only effective in specific environments and yield limited evasion effectiveness. To solve the above problems, this paper proposes a malware adversarial sample generation method (PixGAN) based on the pixel attention mechanism, which aims to improve adversarial samples' escape effect and mobility. The method transforms malware into grey-scale images and introduces the pixel attention mechanism in the Deep Convolution Generative Adversarial Networks (DCGAN) model to weigh the critical pixels in the grey-scale map, which improves the modeling ability of the generator and discriminator, thus enhancing the escape effect and mobility of the adversarial samples. The escape rate (ASR) is used as an evaluation index of the quality of the adversarial samples. The experimental results show that the adversarial samples generated by PixGAN achieve escape rates of 97%, 94%, 35%, 39%, and 43% on the Random Forest (RF), Support Vector Machine (SVM), Convolutional Neural Network (CNN), Convolutional Neural Network and Recurrent Neural Network (CNN_RNN), and Convolutional Neural Network and Long Short Term Memory (CNN_LSTM) algorithmic detectors, respectively.

The sedimentary environment of Early Cretaceous rift basin in eastern China and its response to the Faraoni event

Xiangyu Zhang,Shoujun Li,Xiuli Zhao,Geng Geng,Mingming Yan 한국지질과학협의회 2020 Geosciences Journal Vol.24 No.4

To better understand the sedimentary environment of the rift basin under the influence of a warm global climate, Lingshan Island in eastern Shandong Province (China) was studied. Inorganic geochemical indexes (B, equivalent B, B/Ga, Ga, V, Couch’s palaeosalinity, Adams’s palaeosalinity, Sr/Ba, Sr/Cu, Rb/Sr, Al2O3/MgO, and CaO/MgO·Al2O3) were analyzed and a quantitative calculation of palaeosalinity was carried out based on the Adams and Couch methods. The sedimentary environment of the rift basin at Lingshan Island was determined according to the morphology and distribution of its palaeobiota as well as inorganic geochemical indexes. We demonstrate that eastern China had high-temperature drought-like conditions during the Early Cretaceous, which may have been influenced by the Faraoni event. The dry-hot climate transformed the rift basin at Lingshan Island into saline lacustrine basin. Therefore, the salinization of water was not influenced by seawater but was the response of terrestrial strata to the warm, dry climate. This study helps to understand the sedimentary background of Cretaceous rift basins in eastern China and the influence of a warm climate on China’s terrestrial strata.

Maximizing lifetime of a wireless sensor network via joint optimizing sink placement and sensor-to-sink routing

Zhao, Chuanxin,Wu, Changzhi,Wang, Xiangyu,Ling, Bingo Wing-Kuen,Teo, Kok Lay,Lee, Jae-Myung,Jung, Kwang-Hyo Butterworths [etc.] 2017 Applied mathematical modelling Vol.49 No.-

<P><B>Abstract</B></P> <P>Wireless sensor networks typically contain hundreds of sensors. The sensors collect data and relay it to sinks through single hop or multiple hop paths. Sink deployment significantly influences the performance of a network. Since the energy capacity of each sensor is limited, optimizing sink deployment and sensor-to-sink routing is crucial. In this paper, this problem is modeled as a mixed integer optimization problem. Then, a novel layer-based diffusion particle swarm optimization method is proposed to solve this large-scaled optimization problem. In particular, two sensor-to-sink binding algorithms are combined as inner layer optimization to evaluate the fitness values of the solutions. Compared to existing methods that the sinks are selected from candidate positions, our method can achieve better performance since they can be placed freely within a geometrical plane. Several numerical examples are used to validate and demonstrate the performance of our method. The reported numerical results show that our method is superior to those existing. Furthermore, our method has good scalability which can be used to deploy a large-scaled sensor network.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Model jointly optimal sink placement and sensor-to-sink routing as a mixed integer optimization problem. </LI> <LI> Propose a discrete particle swarm optimization for sensor-to-sink routing. </LI> <LI> Develop a novel diffusion particle swarm optimization for sinks placement. </LI> <LI> Show superiority of our method over existing results through experimental comparisons. </LI> </UL> </P>

3',4',5',5,7-Pentamethoxyflavone Sensitizes Cisplatin-Resistant A549 Cells to Cisplatin by Inhibition of Nrf2 Pathway

Xiangyu Hou,Xupeng Bai,Xiaoli Gou,Hang Zeng,Chen Xia,Wei Zhuang,Xinmeng Chen,Zhongxiang Zhao,Min Huang,Jing Jin 한국분자세포생물학회 2015 Molecules and cells Vol.38 No.5

Nuclear factor erythroid 2-related factor 2 (Nrf2) is an important redox-sensitive transcription factor that regulates the expression of several cytoprotective genes. More recently, genetic analyses of human tumors have indicated that Nrf2 may cause resistance to chemotherapy. In this study, we found that the expression levels of Nrf2 and its target genes GCLC, HO-1, NQO1 were significantly higher in cisplatinresistant A549 (A549/CDDP) cells than those in A549 cells, and this resistance was partially reversed by Nrf2 siRNA. 3',4',5',5,7-Pentamethoxyflavone (PMF), a natural flavonoid extracted from Rutaceae plants, sensitized A549/CDDP to CDDP and substantially induced apoptosis compared with that of CDDP alone treated group, and this reversal effect decreased when Nrf2 was downregulated by siRNA. Mechanistically, PMF reduced Nrf2 expression leading to a reduction of Nrf2 downstream genes, and in contrast, this effect was decreased by blocking Nrf2 with siRNA. Taken together, these results demonstrated that PMF could be used as an effective adjuvant sensitizer to increase the efficacy of chemotherapeutic drugs by downregulating Nrf2 signaling pathway.

The Mechanism of Subsurface Flow Generation at a Hillslope Farmland of Entisol, Sw China

Pei Zhao,Xiangyu Tang 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

3',4',5',5,7-Pentamethoxyflavone Sensitizes Cisplatin-Resistant A549 Cells to Cisplatin by Inhibition of Nrf2 Pathway

Hou, Xiangyu,Bai, Xupeng,Gou, Xiaoli,Zeng, Hang,Xia, Chen,Zhuang, Wei,Chen, Xinmeng,Zhao, Zhongxiang,Huang, Min,Jin, Jing Korean Society for Molecular and Cellular Biology 2015 Molecules and cells Vol.38 No.5

Nuclear factor erythroid 2-related factor 2 (Nrf2) is an important redox-sensitive transcription factor that regulates the expression of several cytoprotective genes. More recently, genetic analyses of human tumors have indicated that Nrf2 may cause resistance to chemotherapy. In this study, we found that the expression levels of Nrf2 and its target genes GCLC, HO-1, NQO1 were significantly higher in cisplatin-resistant A549 (A549/CDDP) cells than those in A549 cells, and this resistance was partially reversed by Nrf2 siRNA. 3,4,5,5,7-Pentamethoxyflavone (PMF), a natural flavon extracted from Rutaceae plants, sensitized A549/CDDP to CDDP and substantially induced apoptosis compared with that of CDDP alone treated group, and this reversal effect decreased when Nrf2 was downregulated by siRNA. Mechanistically, PMF reduced Nrf2 expression leading to a reduction of Nrf2 downstream genes, and in contrast, this effect was decreased by blocking Nrf2 with siRNA. Taken together, these results demonstrated that PMF could be used as an effective adjuvant sensitizer to increase the efficacy of chemotherapeutic drugs by downregulating Nrf2 signaling pathway.

Synthesis of acid-activated reversible conversion supramolecular nanoplatform: application in drug delivery and anti-tumor activity

Yang Cuiting,Xiangyu Chen,Jinkui Teng,Shuai Chen,Jianmei Yang,Xiaoqing Liu,Junnan He,Jin Zhang,Yan Zhao 한국고분자학회 2024 Macromolecular Research Vol.32 No.1

Supramolecular nanoplatforms with stimuli-responsive behavior feature sensitive performance and effective drug delivery, which are desirable as intelligent drug delivery systems. Generally, tumor cells are characterized by excessive acid production, resulting in a lower pH in the tumor microenvironment (pH < 6.5) than in normal tissues (pH ≈7.4) and providing the possibility for the drug delivery system to exploit this decrease in pH as a trigger for drug release. Here, an acid-sensitive supramolecular nanoplatform (CM-β-CD/FC12 +Br− NPs) with assembly/disassembly properties was designed and constructed, which was exploited to capture, deliver, and release anti-tumor compound CSL. 2D NOESY was utilized to examine the host–guest interaction and the potential mechanism for CM-β-CD/FC12 +Br− NPs loading CSL. CM-β-CD/FC12 +Br− NPs present good blood compatibility. Cytotoxicity assay revealed that CSL-loaded NPs display minimal toxicity against normal cells BEAS-2B and good anticancer ability against five human cancer cell lines, especially for Human hepatoma cell line SMMC-7721. In addition, cell apoptosis and cycle assay further verified that CSL-loaded NPs-induced apoptosis in SMMC- 7721 cells up to ~ 93%, as well as blocking the cells in G0/G1 phase and inhibiting the proliferation of SMMC-7721 cells in a dose-dependent manner. We expect that CM-β-CD/FC12 +Br− NPs will be potential acid-answered drug delivery candidates.

The Step-by-Step Model Technology Considering Nonlinear Effect Used for Construction Simulation Analysis

Zhihua Chen,Zhongwei Zhao,Han Zhu,Xiaodun Wang,Xiangyu Yan 한국강구조학회 2015 International Journal of Steel Structures Vol.15 No.2

Long-span spatial structures have advantages over other structural systems in terms of novelty and aesthetics in architectural form. However, the complexity of stress distribution causes these kinds of structures to change significantly between the construction and utilization stages. One-time loading method was used in the traditional design method to calculate and evaluate structural stress and structural deflection, either of which could cause problems in component size and residual stress during construction process. Therefore, construction simulation analysis of these structures must be performed. Element birth and death technology and step-by-step model technology (SSMT) are the main approaches in the finite element method used in construction analysis. This paper proposes a theory basis for the SSMT that was used in the constructional analysis of the Yujiapu Railway Station Building. Results obtained by the proposed method were compared with those by element birth and death technology. In addition, the preset construction deformation value was calculated to validate the correctness and efficiency of the proposed method.

Synthesis of sulfonated catalyst from bituminous coal to catalyze esterification for biodiesel production with promoted mechanism analysis

Tang Xincheng,Niu Shengli,Zhao Shuang,Zhang Xiangyu,Li Ximing,Yu Hewei,Lu Chunmei,Han Kuihua 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.77 No.-

The carbon-based heterogeneous acid catalyst is synthesized from bituminous coal through the partialcarbonization and sulfonation method and applied to catalyze the esterification of oleic acid withmethanol for biodiesel production. Various characterization methods are used to explain catalyticfeatures and molecular simulation is conducted to analyze the promoted mechanism of acid catalyst inesterification. Carbon catalyst, prepared by partially carbonized at 350 C and sulfonated at 105 C,catalyzes esterification with biodiesel yield of 98.70%. Transition state analysis implies that acid catalystreduces the activation energy through providing proton to promote esterification.