The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

We present the theory and design of interval type-2 fuzzy logic systems (FLSs). We propose an efficient and simplified method to compute the input and antecedent operations for interval type-2 FLSs: one that is based on a general inference formula for them. We introduce the concept of upper and lower membership functions (MFs) and illustrate our efficient inference method for the case of Gaussian primary MFs. We also propose a method for designing an interval type-2 FLS in which we tune its parameters. Finally, we design type-2 FLSs to perform time-series forecasting when a nonstationary time-series is corrupted by additive noise where SNR is uncertain and demonstrate an improved performance over type-1 FLSs.

https://sipi.usc.edu/~mendel/publications/Liang%26Mendel%20TFS%2010-00%20%232.pdf

Interval type-2 fuzzy logic systems: theory and design

We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on "output processing," which consists of type reduction and defuzzification. Type-reduction methods are extended versions of type-1 defuzzification methods. Type reduction captures more information about rule uncertainties than does the defuzzified value (a crisp number), however, it is computationally intensive, except for interval type-2 fuzzy sets for which we provide a simple type-reduction computation procedure. We also apply a type-2 FLS to time-varying channel equalization and demonstrate that it provides better performance than a type-1 FLS and nearest neighbor classifier.

/pdf/type-2-fuzzy-logic-systems-20ss17tkqw.pdf

Type-2 fuzzy logic systems

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Design Of Analog Cmos Integrated Circuits

Introduction to Mathematical Statistics. By R.V. Hogg and A. T. Craig. Pp. ix, 245. 47s. 1959. (The Macmillan Company, New York)

This paper investigates the problem of channel equalisation in digital cellular radio (DCR) application. DCR systems are affected by cochannel interference (CCI), intersymbol interference (ISI) in presence of additive white Gaussian noise (AWGN). Here we propose a fuzzy equaliser to equaliser communication channels with these anamolies. This equaliser performs close to to the optimum Bayesian equaliser with a substantial reduction in computational complexity. The equaliser is trained with supervised and unsupervised scalar clustering techniques in sequence, and consist of a fuzzy equaliser with a preprocessor for CCI compensation. Simulation studies have demonstated the performance of the proposed technique.

Co-channel interference suppression using a fuzzy filter

The paper investigated the Zigzag GaN nanoribbons (ZGaNNR) using the density functional theory(DFT) and non equilibrium Green’s function(NEGF) framework. We have calculated the structural, electronic and transport properties of various Fe-ZGaNNR configurations. Based on the binding energy(
 $$E_{B}$$
 ) calculations, Fe-doped@Ga_edge ZGaNNR(-6.51eV) is observed to be most structurally stable among different configurations. Our findings show the substitutional Fe passivation provides a stable bonding as compared to pristine configuration. The magnetic moment of different configurations depends upon the position of Fe atom. The discontinuity is observed in degenerative states of spin modes and same is follows by their respective density of states(DOS) and projected density of states(PDOS). Fe-termination@N_edge ZGaNNR is found to be a strong candidate for magnetic stabilization. High metallicity is observed in Fe-termination@both_the_edges ZGaNNR configuration. Further same is verified through current-voltage characteristics as current follow the pure linear behaviour. The practical application of the work on ZGaNNR can serve as a potential candidate for future low bias nanoscale spitronic devices and low power high speed interconnect applications.

Fe-functionalized zigzag GaN nanoribbon for nanoscale spintronic/interconnect applications

In optic al virtual private network (OVPN), the quality of connection depends not only on network layer information, but also on physical layer impairments (PLIs) constraints, which are incurred by non-ideal optical transmission media and accumulates along with the optical connection. It is important to analysis PLIs in-order to satisfy OVPN client's necessary requirement of QoS for their connection setup. In-corporate to the above point, the design methodology says how to understand the process that provide PLI information to the control plane protocols and use this information efficiently to compute feasible connections. Based on the PLI constraints, it is proposed a centralized PLI based routing algorithm for the selection of OVPN connections.

/pdf/physical-layer-impairments-a-ware-ovpn-connection-selection-5g2r33mdpv.pdf

Physical Layer Impairments A ware OVPN Connection Selection Mechanism

In optical networks, Physical Layer Impairments (PLIs) incurred by non-ideal optical transmission media accumulate along the optical path. The overall effect of PLIs determines the feasibility of the light-paths. It is important to understand the process that provide PLI information to the central manager and use this information efficiently to compute feasible routes and wavelengths. Based on the PLI impairments like fibre attenuation, Chromatic Dispersion (CD) and Polarisation Mode Dispersion (PMD), which reflects the Quality of service factors (Q-Factor); a centralised PLI-based routing algorithm is proposed for the selection of data-paths.

Data-path selection mechanism based on physical layer impairments for WDM network

The need of developing appropriate noise prediction models for finding out the accurate status of noise levels (>90 dBA) generated from various opencast mining machineries is overdue. The measured sound pressure levels (SPL) of equipments are not accurate due to instrumental error, attenuation due to geometrical aberration, atmospheric attenuation etc. Some of the popular noise prediction models e.g. VDI and ENM have been applied in mining and allied industries. Among these models, VDI2714 is simple and less complex model. In this paper, a neuro-fuzzy model is proposed to predict the machinery noise in an opencast coal mine. The proposed model is trained with VDI2714 and the model output is seen very closely to matching with VDI2714 output. The model proposed has a mean square error of 2.73%. This model takes CPU time of nearly 0.0625 sec where as it takes 0.5 sec for VDI2714 i.e. approximately twelve times faster.

http://dspace.nitrkl.ac.in:8080/dspace/bitstream/2080/1075/1/IJUFKS_1705_P729DPTRIPATHY.pdf

Sarat Kumar Patra

Papers

Co-channel interference suppression using a fuzzy filter

Fe-functionalized zigzag GaN nanoribbon for nanoscale spintronic/interconnect applications

Physical Layer Impairments A ware OVPN Connection Selection Mechanism

Data-path selection mechanism based on physical layer impairments for WDM network

Development of a neuro fuzzy model for noise prediction in opencast mines