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Ciphertext-Policy Attribute-Based Encryption for Access Control of Data in Cloud
Vijaya Lakshmi Paruchuri,N Lakshmipathi Anantha,Vara Lakshmi Konagala,Debnath Bhattacharyya 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.8
In Distributed systems, the users with a certain set of attributes can only be able to access the data. At present this process can be done through a trusted server where we will store the data and there will be certain constraints on the access of the data. In this case there will be a possibility to compromise the data and so the confidentiality of the data is lost. An Attribute-Based Encryption (ABE) is an encryption scheme, where users with some attributes can decrypt ciphertexts associated with these attributes. Now this is our turn to develop a system with a more complex policy of access of the encrypted data and which can be called as Ciphertext Policy Attribute-based Encryption (CP-ABE). By using this method the information can't be traded off even through the trusted server where the information is put away. These methods are also secure against the collusion attack. In this method attributes are generally assigned in the form of access trees. The attributes are placed at the leaf nodes of this access tree. In older Attribute-based encryption strategies encrypted data is described by the attributes and policies are given to the user’s keys, while in our system users credentials are described by the attributes and there will be a policy where it tells us about who should access or decrypt the data. So, this type of access method is very much closer to the Role-based attribute-based encryption.
Jacobian Based Nonlinear Algorithms for Prediction of Optimized RF MEMS Switch Dimensions
Lakshmi Narayana Thalluri,M Aravind Kumar,Mohamed Sultan Mohamed Ali,N. Britto Martin Paul,K. Srinivasa Rao,Koushik Guha,S. S. Kiran 한국전기전자재료학회 2023 Transactions on Electrical and Electronic Material Vol.24 No.5
This communication discusses the role of nonlinear algorithms in training the neural network, which predicts the optimized RF MEMS switch dimensions. A dedicated dataset, i.e., DrTLN-RF-MEMS-SWITCH-DATASET-v1, was created by considering the most appropriate input and output variable suitable to predict the cantilever dimensions, crab leg and serpentine structure-based RF MEMS switches. The distinct artificial neural networks (ANN) performance is analysed using various training methods. The hardware implementation possible neural network algorithms, i.e., Fitting and Cascade Feed Forward Network, are considered for learning and prediction. The ANN algorithm's performance in predicting and optimizing RF MEMS switch is analysed using nonlinear training methods like Levenberg–Marquardt (LM) and Scaled Conjugate Gradient (SCG). The cascaded forward network with LM training combination offers the best performance compared with other varieties. A comprehensive study is performed using neural networks and finite element simulation results. The study revealed that the error percentage is below 15.08% for most of the parameters.
Lakshmi Dutta,Dushmanta Kumar Das 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.7
This paper proposed an adaptive explicit nonlinear model predictive control (AENMPC) technique using multiple estimation models with a convex combination framework [18] for a class of nonlinear MIMO systems. Here, the explicit solution for the control signal is obtained from an optimal performance index which can be formulated without online optimization. In this work, a closed-form control law is developed by approximating the tracking error in the receding horizon by its Taylor series expansion. The control performance of any modelbased control technologies explicitly depends on the quality of the unknown system parameters, hence an adaptive parameter estimator is used to estimate the system parameter online [16,17]. To ensure the boundedness of the estimated parameter within a predefined compact region, a projection based adaptive law is used [43]. Using an aerodynamic laboratory set-up, known as the twin-rotor multi-input multi-output system (TRMS), the effectiveness of the proposed control algorithm has been verified. The complete state information of the system to the proposed adaptive controller is given from an extended Kalman filter based state observer. The performance of the proposed adaptive control algorithm has been verified successfully in simulations as well as real-time experimental setup of the TRMS model and compared with an existing control approach.
Multi constrained optimization combining ARMAX with differential search for damage assessment
Lakshmi Krishansamy,Rama Mohan Rao Arumulla 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.72 No.6
Time-series models like AR-ARX and ARMAX, provide a robust way to capture the dynamic properties of structures, and their residuals can be effectively used as features for damage detection. Even though several research papers discuss the implementation of AR-ARX and ARMAX models for damage diagnosis, they are basically been exploited so far for detecting the time instant of damage and also the spatial location of the damage. However, the inverse problem associated with damage quantification i.e. extent of damage using time series models is not been reported in the literature. In this paper, an approach to detect the extent of damage by combining the ARMAX model by formulating the inverse problem as a multi-constrained optimization problem and solving using a newly developed hybrid adaptive differential search with dynamic interaction is presented. The proposed variant of the differential search technique employs small multiple populations which perform the search independently and exchange the information with the dynamic neighborhood. The adaptive features and local search ability features are built into the algorithm in order to improve the convergence characteristics and also the overall performance of the technique. The multi-constrained optimization formulations of the inverse problem, associated with damage quantification using time series models, attempted here for the first time, can considerably improve the robustness of the search process. Numerical simulation studies have been carried out by considering three numerical examples to demonstrate the effectiveness of the proposed technique in robustly identifying the extent of the damage. Issues related to modeling errors and also measurement noise are also addressed in this paper.
Lakshmi, B.,Shivananda, K.N.,Prakash, Gouda Avaji,Rama, Krishna Reddy K.,Mahendra, K.N. Korean Chemical Society 2011 Bulletin of the Korean Chemical Society Vol.32 No.5
A hybrid thermosetting maleimido epoxy compound 4-(N-maleimidophenyl) glycidylether (N-MPGE) containing Co(II), Ni(II) and Cu(II) ions was prepared by curing N-MPGE and tetradentate Schiff base Co(II), Ni(II) and Cu(II) complexes. The curing polymerization reaction of N-MPGE with metal complexes as curing agents was studied. The cured samples were studied for thermal stability, chemical (acid/alkali/solvent) and water absorption resistance and homogeneity of the cured systems. The tetradentate Schiff base, 3-[(Z)-2-piperazin-1-yl-ethylimino]-1,3-dihydro indol-2-one was synthesized by the condensation of Isatin (Indole-2, 3-dione) with 1-(2-aminoethyl)piperazine (AEP). Its complexes with Co(II), Ni(II) and Cu(II) have been synthesized and characterized by microanalysis, conductivity, Uv-Visible, FT-IR, TGA and magnetic susceptibility measurements. The spectral data revealed that the ligand acts as a neutral tetradentate Schiff base and coordinating through the azomethine nitrogen, two piperazine nitrogen atoms and carbonyl oxygen.
SOME COINCIDENCE AND COMMON FIXED POINT RESULTS IN MENGER SPACES
Lakshmi Narayan Mishra,Deepti Thakur,Rajinder Sharma 한국전산응용수학회 2021 Journal of Applied and Pure Mathematics Vol.3 No.1
In this paper, we established some common fixed point theorems for two pairs of self maps by using the notion of compatibility of type (E) along with weakly subsequential continuous (wsc) mappings in a Menger space. Common fixed point theorem satisfying an integral analogue is also given. Some examples in support of the proven results are also provided. Corresponding common fixed point theorem in metric spaces is also obtained as an application to our main result. We improve some earlier results in this line.
Lakshmi G.,Beena R.,Soni K. B.,Viji M. M.,Jha Uday Chand 한국작물학회 2023 Journal of crop science and biotechnology Vol.26 No.1
This study was undertaken to investigate the efect of biostimulants such as spermidine (1 mM, 2 mM), indole-3-acetic acid (10–3 M, 10–5 M), brassinolide (1 mg/L, 2 mg/L) and boron (50 mg/L, 100 mg/L) on protecting rice plants from heat-induced damage. Two rice genotypes, Nagina 22 (heat tolerant) and Manu Ratna (heat susceptible), primed with biostimulant solution were germinated, 14-day-old seedlings were further foliar sprayed with respective treatment solutions prior to the induction of heat stress (42 °C, 48 h). Heat stress-induced fatal damages to non-biostimulant-treated rice seedlings, whereas biostimulanttreated ones were protected from heat stress-induced damages, marked by lower levels of malondialdehyde (MDA), H2O2 coupled with increased levels of seedling vigour index (SVI), chlorophyll and proline contents. Results showed that 1 mM spermidine (Spd) and 10–5 M indole-3-acetic acid (IAA)-treated rice seedlings showed increased heat tolerance and were evaluated for its efect at reproductive stage stress in a pot culture study. At the panicle initiation stage, plants were pretreated with 1 mM Spd and 10–5 M IAA followed by the induction of heat stress, keeping it in a temperature-controlled polyhouse (42.1 °C, till the time of harvest). Spd- and IAA-pretreated heat-exposed plants exhibited yield improvement over control by altering physiological, biochemical and molecular mechanisms. Therefore, we conclude from our results that foliar IAA or Spd applications can be regarded as an agronomic strategy for mitigating the adverse efects of heat stress conditions on rice plants.