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Metaheuristics with Optimal Deep Transfer Learning Based Copy-Move Forgery Detection Technique

Intelligent Automation & soft Computing 2023年第1期35卷 881-899页

作者： C.D.Prem Kumar s.saravana sundaram Department of Information Technology Hindusthan College of Engineering and TechnologyCoimbatore641032TamilnaduIndia Department of Electrical and Electronics Engineering Hindusthan College of Engineering and TechnologyCoimbatore641032TamilnaduIndia

The extensive availability of advanced digital image technologies and image editing tools has simplified the way of manipulating the image *** effective technique for tampering the identification is the copy-move *** image processing techniques generally search for the patterns linked to the fake content and restrict the usage in massive data ***-ingly,deep learning(DL)models have demonstrated significant performance over the other statistical *** this motivation,this paper presents an Optimal Deep Transfer Learning based Copy Move Forgery Detection(ODTL-CMFD)*** presented ODTL-CMFD technique aims to derive a DL model for the classification of target images into the original and the forged/tampered,and then localize the copy moved *** perform the feature extraction process,the political optimizer(PO)with Mobile Networks(MobileNet)model has been derived for generating a set of useful ***,an enhanced bird swarm algorithm(EBsA)with least square support vector machine(Ls-sVM)model has been employed for classifying the digital images into the original or the forged *** utilization of the EBsA algorithm helps to properly modify the parameters contained in the Multiclass support Vector Machine(MsVM)technique and thereby enhance the classification *** ensuring the enhanced performance of the ODTL-CMFD technique,a series of simulations have been performed against the benchmark MICC-F220,MICC-F2000,and MICC-F600 *** experimental results have demonstrated the improvised performance of the ODTL-CMFD approach over the other techniques in terms of several evaluation measures.

关键词： Copy move detection image forgery deep learning machine learning parameter tuning forensics

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Efficient Clustering Using Memetic Adaptive Hill Climbing Algorithm in WsN

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Intelligent Automation & soft Computing 2023年第3期35卷 3169-3185页

作者： M.Manikandan s.sakthivel V.Vivekanandhan Department of Computer science and Engineering Adhiyamaan College of EngineeringHosur635109TamilnaduIndia Department of Computer science and Engineering Sona College of TechnologySalem636005TamilnaduIndia

Wireless sensor Networks are composed of autonomous sensing devices which are interconnected to form a closed *** closed network is intended to share sensitive location-centric information from a source node to the base station through efﬁcient routing *** efﬁciency of the sensor node is energy bounded,acts as a concentrated area for most researchers to offer a solution for the early draining power of *** management plays a signiﬁcant role in wireless sensor networks,which was obsessed with the factors like the reliability of the network,resource management,energy-efﬁcient routing,and scalability of *** topology of the wireless sensor networks acts dri-ven factor for network efﬁciency which can be effectively maintained by perform-ing the clustering process *** solutions and clustering algorithms have been offered by various researchers,but the concern of reduced efﬁciency in the routing process and network management still *** research paper offers a hybrid algorithm composed of a memetic algorithm which is an enhanced version of a genetic algorithm integrated with the adaptive hill-climbing algorithm for performing energy-efﬁcient clustering process in the wireless sensor *** memetic algorithm employs a local searching methodology to mitigate the premature convergence,while the adaptive hill-climbing algorithm is a local search algorithm that persistently migrates towards the increased elevation to determine the peak of the mountain(i.e.,)best cluster head in the wireless sensor *** proposed hybrid algorithm is compared with the state of art clus-tering algorithm to prove that the proposed algorithm outperforms in terms of a network life-time,energy consumption,throughput,etc.

关键词： Wireless sensor networks topology clustering memetic algorithm adaptive hill climbing algorithm network management energy consumption throughput

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Distribution of stem decay in the beech trees of the Azerbaijan and its impact on the output of commercial wood

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Journal of Forestry Research 2019年第3期30卷 1023-1028页

作者： A.B.Yakhyaev V.s.Farzaliyev E.P.safarova Azerbaijan University of Architecture and Construction Mammad Rahim StreetBaku City 1004Azerbaijan Republic Central Botanical Garden of Azerbaijan National Academy of sciences Mikayil Mushfig 103Baku City 1004 Azerbaijan Republic

To determine the distribution of stem decay in the beech stands of Azerbaijan, we sought to identify the species, number, and height of attachment of fruiting bodies;the extent of decay in tree trunks growing under different conditions;and its influence on the trees’ commercial wood. The research was conducted on three farms representing the most common forest types of the Greater Caucasus within Azerbaijan. Examination of the presence of fruiting bodies in the tree trunk revealed that stem decay is the most common infection in beech (Fagus orientalis) stands, especially in fresh, moist areas, with less infection under dry growing conditions. In this work, the length, diameter, and volume of decay were studied by infecting the trunks of 93 model trees affected with mushrooms in 1–4 m cuttings. Our results showed that as the age of the stand increased, extent, diameter, and volume of decay increased significantly: the extent of decay from 1.47 to 6.43 m;the diameter of the decay from 8.15 to 32.7 cm;and the volume of decay from 2.5 to 13.2%. The relationship between age and the specified indicators is presented graphically. Using data obtained from the same sample of trees, we determined the expected and actual yield of commercial wood by age class. We determined that stem decay in beech stands leads to a decrease in the yield of commercial wood on average from 25.1% in the middle-aged to 14.8% in overmature plantations, respectively, with an estimated yield of 40.8–62.7%. Here we present mathematical models of the output of commercial wood from the infected part of the stands by age classes with the use of average data on the extent of decay in model trees.

关键词： Beech Wood Infection Forest type stem decay Output of commercial wood Fruiting bodies

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Trace analysis of off-flavor/odor compounds in water using liquid-liquid microextraction coupled with gas chromatography--positive chemical ionization-tandem mass spectrometry

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Frontiers of Environmental science & Engineering 2016年第3期10卷 477-481页

作者： Jian LU Paul s. WILLs P. CHRIs WILsON Indian River Research and Education Center University of Florida/IFAS 2199 South Rock Road Fort Pierce FL 34945-3138 USA Harbor Branch Oceanographic Institute at Florida Atlantic University 5600 U.S. 1 North Fort Pierce FL 34946 USA

A rapid, inexpensive and laboratory friendly method was developed for analysis of off-flavor/odor compounds in fresh and salt water using gas chromatography with chemical ionization-tandem mass spectrometry. Off-flavor/odor compounds, included geosmin, 2- methylisobomeol （MIB）, 2-isobutyl-3-methyoxypyrazine （IBMP）, and 2-isopropyl-3-methoxypyrazine （IPMP）. Using this method, a single sample can be extracted within minutes using only 1 mL of organic solvent. The ion transitions for IPMP, IBMP, MIB, and geosmin were 153 〉 121, 167 〉 125, 152 〉 95, and 165 〉 109, respectively. The linearity of this method for analyzing MIB ranged from 4 to 200ng·L^-1, and from 0.8 to 200ng·L^-1 for the other analytes. Method recoveries ranged from 97% to 111% and percent relative standard deviations ranged from 3% to 9%, indicating that the method is accurate, precise, and reliable.

关键词： off-flavor/odor compounds liquid-liquid microextraction gas chromatography-tandem mass spectrometry

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基于主客观证据融合的高炉悬料预测方法

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北京科技大学学报 2014年第4期36卷 506-514页

作者：曹卫华杜楠安剑奇吴敏中南大学信息科学与工程学院长沙410083 先进控制与智能自动化湖南省工程实验室长沙410083

针对高炉关键异常炉况悬料难以预测的问题,基于D-s证据理论,提出一种综合模糊专家推理和后验概率最小二乘支持向量机的悬料预测方法.首先,结合高炉生产过程和悬料现象,分析悬料形成的内在机理;其次,通过模糊专家推理提取基于专家规则的... 详细信息

针对高炉关键异常炉况悬料难以预测的问题,基于D-s证据理论,提出一种综合模糊专家推理和后验概率最小二乘支持向量机的悬料预测方法.首先,结合高炉生产过程和悬料现象,分析悬料形成的内在机理;其次,通过模糊专家推理提取基于专家规则的主观证据,再通过建立后验概率最小二乘支持向量机模型提取基于数据内在客观规律的客观证据;最后,基于D-s证据理论完成主客观证据融合,实现悬料预测.该方法充分利用专家经验和最小二乘支持向量机的自学习能力,能够提高预测精度.仿真结果表明本文提出的方法有效、准确.

关键词：高炉预测模糊逻辑最小二乘逼近支持向量机信息融合

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中国传统师德探原

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教师发展研究 2020年第4期4卷 118-124页

作者：杜钢首都师范大学教育学院北京100037

中国传统师德的内涵建构在道与德内涵基础之上,诸如天人合一之道、内圣外王之道以及伦常之德、治理之德、修身之德等道与德内涵的基本成分构成了传统师德内涵的原始依据。人师之德是展现传统师德历史原貌的一个典型面向,其核心特质即在... 详细信息

中国传统师德的内涵建构在道与德内涵基础之上,诸如天人合一之道、内圣外王之道以及伦常之德、治理之德、修身之德等道与德内涵的基本成分构成了传统师德内涵的原始依据。人师之德是展现传统师德历史原貌的一个典型面向,其核心特质即在于一方面凸显师者职分上的以身作则的模范性;另一方面强调社会成员普遍意义上的以德立身的示范性,由此促成社会整体道德体系的和谐有序发展。三皇五帝与三代诸王等圣王师以及以孔子为代表的圣贤师等圣化教师形象的相继涌现,成为理想化师德得以实现的显明历史标志,其中尤以孔子的师德实践和理论更加具有深远影响。

关键词：师德传统师德内圣外王人师

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synthesis of silver nanoparticles by Lactobaciluus acidophilus 01 strain and evaluation of its in vitro genomic DNA toxicity

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Nano-Micro Letters 2010年第3期2卷 160-163页

作者： s.Karthick Raja Namasivayam Gnanendra Kumar E Reepika R Department of Biotechnology Sathyabama University

silver nanoparticles synthesized by dried biomass of Lactobaciluus acidophilus 01 strain was evaluated against toxicity of genomic DNA isolated from bacteria(***) fungi(Beauveria bassiana) algae(seenedesmus acutus) and human blood adopting standard condition was discussed in the present *** silver nanoparticles were characterized by UV-Vis spectroscopy and *** UV-Vis spectroscopy revealed the formation of silver nanoparticles by yielding the typical silver plasmon absorption maxima at 430 nm and sEM micrograph indicates the uniform spherical particles within the size range of 45?60 *** energy dispersive x-ray spectroscopy(EDx) of the nanoparticle confirmed the presence of elemental silver signal as strong *** above synthesized silver nanoparticles didn't cause any toxic effect on all the tested genomic DNA at all tested concentrations which reveals nil genomic nanoparticles induced toxicity.

关键词： Lactobacillus acidophilus silver nanoparticles Antibacterial activity Biosynthesis

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模糊熵在固有风险评估中的应用探讨

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商业研究 2006年第6期 55-57页

作者：费爱华杜维西南政法大学管理学院重庆400031 重庆大学经济与工商管理学院重庆400030

对审计风险实施有效管理的前提是对风险水平的评估,它决定审计工作的成败。针对当前审计实践中主要依靠注册会计师的主观职业判断进行风险评估的现状,必须以固有风险为研究对象,来探讨模糊熵和模糊综合评价法在固有风险评估的应用,以缩... 详细信息

对审计风险实施有效管理的前提是对风险水平的评估,它决定审计工作的成败。针对当前审计实践中主要依靠注册会计师的主观职业判断进行风险评估的现状,必须以固有风险为研究对象,来探讨模糊熵和模糊综合评价法在固有风险评估的应用,以缩小主观判断和实际水平之间的差异,更有效地保证审计质量和审计效率的提高。

关键词：审计风险固有风险模糊熵模糊数学

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Elastic Constants of Nickel Oxide

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Chinese Physics Letters 1991年第3期8卷 153-156页

作者： WANG Jifang FIsHER,E.s. M.H.Manghnzmi Institute of Physics Academia SinicaBeijing 100080 Argonne National Laboratory ArgonneIllinoisUSA Hawaii Institute of Geophysics University of HawaiiHonoluluHawaiiUSA

Previous measurements of the single crystal elastic constants of NiO by ultrasonic techniques have been in wide *** paper gives the results of recent data obtained from several well characterized NiO single *** present results for the antiferromagnetic phase at 298K are different from the previous data and rectify certain questions about the elastic anisotropy ratio C_(44)/C'and bulk modulus K_(s).

关键词： crystals Elastic modulus

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Effect of nitrogen fertilizer on biomass production and nodulation behavior of Pongamia pinnata Pierre seedlings under nursery conditions

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Journal of Forestry Research 2013年第3期24卷 531-538页

作者： s.P. Chaukiyal Rayees Afzal Mir T.C. Pokhriyal Plant Physiology Botany Division. Forest Research InstituteDehradun Uttarakhand India

At the seedling stage, a small amount of N is required to boost growth of leguminous plants. A pot experiment was conducted to observe the effect of N fertilizer on various growth parameters and nodulation behavior of Pongamia pinnata under nursery conditions. After the estab- lishment of seedlings, four nitrogen treatments, 0, 40, 80 and 100 kg-ha^-1 N were applied in two equal splits. Monthly observations were taken for the morphological parameters viz. plant height, collar diameter, leaf number, root length, root shoot ratio, nodule number and weight per plant. Maximum plant height was recorded after application of N at 40 ***^-1. seasonally, the difference in collar diameter in rainy season was signifi- cantly higher than in winter or summer. However, more leaves were produced per plant at N-40 and N-100 treatments in winter and rainy seasons. Higher root length was recorded in rainy season than in winter or summer. Root biomass was higher than for stems or leaves. seasonal effects of N-80 and N-40 treatments on leaf dry weight were significantly higher than for N-100 or N-0. stem dry weight was higher at N-40 than at other treatments in winter and summer seasons. Root：shoot ratio was higher throughout winter to early summer. Nodule biomass was 2-3 times higher in rainy season compared to winter or summer. Maximum nodule number and biomass per plant were highest at N-40, followed by N-0, N-80 and N-100 treatments. New nodule formation started from June to the end of september. Maximum biomass per plant was recorded at N-40, followed by N-80, N-100 and N-0. Nitrogen treatment effect and seasonal behaviour interaction were not significant. significantly higher numbers of nodules per plant were recorded in rainy season followed by summer and winter for all treatments. Higher nitrogen doses suppressed growth while lower doses promoted growth in Pongamia pinnata. Therefore, the lower nitrogen dose i.e., N-40 ***^-1 applied in two equal splits was suitable at the

关键词： Pongamia pinnata biomass nitrogen treatments seasonalbehaviour

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