Evaluation of Capsanthin, Total Phenols and Antioxidant Properties in Red Pepper (Capsicum annum L.) Powders as Affected by Variable Dose Rates of Electron Beam and Gamma Ray Irradiation

Sudha Rani Ramakrishnan,Hyun-Kyu Kyung,Joong-Ho Kwon 한국식품영양과학회 2017 한국식품영양과학회 학술대회발표집 Vol.2016 No.10

Analytical Profiling of Bioactive Components in Indigenous Beverages

Sudha Rani Ramakrishnan,Ramachandran Chelliah,Usha Antony,Joong-Ho Kwon 한국식품영양과학회 2017 한국식품영양과학회 학술대회발표집 Vol.2016 No.10

Design and Implementation of a Sequential Polynomial Basis Multiplier over GF(2^m)

( Sudha Ellison Mathe ),( Lakshmi Boppana ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.5

Finite field arithmetic over GF(2^m) is used in a variety of applications such as cryptography, coding theory, computer algebra. It is mainly used in various cryptographic algorithms such as the Elliptic Curve Cryptography (ECC), Advanced Encryption Standard (AES), Twofish etc. The multiplication in a finite field is considered as highly complex and resource consuming operation in such applications. Many algorithms and architectures are proposed in the literature to obtain efficient multiplication operation in both hardware and software. In this paper, a modified serial multiplication algorithm with interleaved modular reduction is proposed, which allows for an efficient realization of a sequential polynomial basis multiplier. The proposed sequential multiplier supports multiplication of any two arbitrary finite field elements over GF(2^m) for generic irreducible polynomials, therefore made versatile. Estimation of area and time complexities of the proposed sequential multiplier is performed and comparison with existing sequential multipliers is presented. The proposed sequential multiplier achieves 50% reduction in area-delay product over the best of existing sequential multipliers for m = 163, indicating an efficient design in terms of both area and delay. The Application Specific Integrated Circuit (ASIC) and the Field Programmable Gate Array (FPGA) implementation results indicate a significantly less power-delay and area-delay products of the proposed sequential multiplier over existing multipliers.

Non-chemical Risk Assessment for Lifting and Low Back Pain Based on Bayesian Threshold Models

Sudha P. Pandalai,Matthew W. Wheeler,Ming-Lun Lu 한국산업안전보건공단 산업안전보건연구원 2017 Safety and health at work Vol.8 No.2

Background Self-reported low back pain (LBP) has been evaluated in relation to material handling lifting tasks, but little research has focused on relating quantifiable stressors to LBP at the individual level. The National Institute for Occupational Safety and Health (NIOSH) Composite Lifting Index (CLI) has been used to quantify stressors for lifting tasks. A chemical exposure can be readily used as an exposure metric or stressor for chemical risk assessment (RA). Defining and quantifying lifting nonchemical stressors and related adverse responses is more difficult. Stressor–response models appropriate for CLI and LBP associations do not easily fit in common chemical RA modeling techniques (e.g., Benchmark Dose methods), so different approaches were tried. Methods This work used prospective data from 138 manufacturing workers to consider the linkage of the occupational stressor of material lifting to LBP. The final model used a Bayesian random threshold approach to estimate the probability of an increase in LBP as a threshold step function. Results Using maximal and mean CLI values, a significant increase in the probability of LBP for values above 1.5 was found. Conclusion A risk of LBP associated with CLI values > 1.5 existed in this worker population. The relevance for other populations requires further study. Background Self-reported low back pain (LBP) has been evaluated in relation to material handling lifting tasks, but little research has focused on relating quantifiable stressors to LBP at the individual level. The National Institute for Occupational Safety and Health (NIOSH) Composite Lifting Index (CLI) has been used to quantify stressors for lifting tasks. A chemical exposure can be readily used as an exposure metric or stressor for chemical risk assessment (RA). Defining and quantifying lifting nonchemical stressors and related adverse responses is more difficult. Stressor–response models appropriate for CLI and LBP associations do not easily fit in common chemical RA modeling techniques (e.g., Benchmark Dose methods), so different approaches were tried. Methods This work used prospective data from 138 manufacturing workers to consider the linkage of the occupational stressor of material lifting to LBP. The final model used a Bayesian random threshold approach to estimate the probability of an increase in LBP as a threshold step function. Results Using maximal and mean CLI values, a significant increase in the probability of LBP for valuesConclusion A risk of LBP associated with CLI values > 1.5 existed in this worker population. The relevance for other populations requires further study. above 1.5 was found.

Capping of Silybin with β-Cyclodextrin Influences its Binding with Bovine Serum Albumin: A Study by Fluorescence Spectroscopy and Molecular Modeling

Sudha Natesan,Chandrasekaran Sowrirajan,Premnath Dhanaraj,Israel V. M. V. Enoch 대한화학회 2014 Bulletin of the Korean Chemical Society Vol.35 No.7

The association of silybin with β-cyclodextrin and its influence on silybin’s binding with bovine serum albumin are reported. The stoichiometry, binding constant, and the structure of silybin–β-cyclodextrin inclusion complex are reported. The titrations of silybin with bovine serum albumin in the absence and presence of β- cyclodextrin are carried out and the differences in binding strengths are discussed. Molecular modeling is used to optimize the sites and mode of binding of silybin with bovine serum albumin. Förster resonance energy transfer is calculated and the proximity of interacting molecules is reported in the presence and absence of β- cyclodextrin.

Vector optimization involving generalized semilocally pre-invex functions

Sudha Gupta,Vani Sharma,Mamta Chaudhary 한국전산응용수학회 2015 Journal of applied mathematics & informatics Vol.33 No.3

In this paper, a vector optimization problem over cones is considered, where the functions involved are $\eta$-semidifferentiable. Necessary and sufficient optimality conditions are obtained. A dual is formulated and duality results are proved using the concepts of cone $\rho$-semilocally preinvex, cone $\rho$-semilocally quasi-preinvex and cone $\rho$-semilocally pseudo-preinvex functions.

Low-Power and Low-Hardware Bit-Parallel Polynomial Basis Systolic Multiplier over GF(2m) for Irreducible Polynomials

Sudha Ellison Mathe,Lakshmi Boppana 한국전자통신연구원 2017 ETRI Journal Vol.39 No.4

Multiplication in finite fields is used in many applications, especially in cryptography. It is a basic and the most computationally intensive operation from among all such operations. Several systolic multipliers are proposed in the literature that offer low hardware complexity or high speed. In this paper, a bit-parallel polynomial basis systolic multiplier for generic irreducible polynomials is proposed based on a modified interleaved multiplication method. The hardware complexity and delay of the proposed multiplier are estimated, and a comparison with the corresponding multipliers available in the literature is presented. Of the corresponding multipliers, the proposed multiplier achieves a reduction in the hardware complexity of up to 20% when compared to the best multiplier for m = 163. The synthesis results of application-specific integrated circuit and field-programmable gate array implementations of the proposed multiplier are also presented. From the synthesis results, it is inferred that the proposed multiplier achieves low power consumption and low area complexitywhen compared to the best of the corresponding multipliers.

Framework for Mission-Based Evaluation of Integrated Avionics Systems of Unmanned Air Vehicles using Functional Mutation Operators for Timeliness

Sudha Rani. S.V,B. Ramadoss 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.7

An Unmanned Air Vehicle (UAV) is a collection of functionalities and capabilities required to execute complex missions, with the combination of ground systems (comprising of vehicle and payload control) on ground and Avionics Systems (along with various payloads) on board. The UAV executes various missions using a combination of payloads and their ground control. The mission-based evaluation of the UAV is a challenging task in terms of achieving sufficient test adequacy in generating effective test cases for accomplishment of complex mission roles. The timeliness performance, which is a combination of event-triggered and time-triggered execution of tasks, is the most important category to evaluate an Integrated System’s Mission based performance, in addition to the correctness and consistency of data transactions among the various systems. This paper proposes a framework for an exhaustive mission-based evaluation of timeliness of integrated Avionics Systems of the UAV. The authors introduce various functional mutation operators for achievement of adequate test adequacy for this timeliness performance evaluation.

A Semiotics Framework for Analyzing Data Provenance Research

Sudha Ram,Jun Liu 한국정보과학회 2008 Journal of Computing Science and Engineering Vol.2 No.3

Data provenance is the background knowledge that enables a piece of data to be interpreted and used correctly within context. The importance of tracking provenance is widely recognized, as witnessed by significant research in various areas including e-science, homeland security, and data warehousing and business intelligence. In order to further advance the research on data provenance, however, one must first understand the research that has been conducted to date and identify specific topics that merit further investigation. In this work, we develop a framework based on semiotics theory to assist in analyzing and comparing existing provenance research at the conceptual level. We provide a detailed review of data provenance research and compare and contrast the research based on a semiotics framework. We conclude with an identification of challenges that will drive future research in this field.

Statistical optimization for lithium silicate catalyzed production of biodiesel from waste cooking oil

Sudha Kochiyil Cherikkallinmel,Sankaran Sugunan,Binitha Njarakkattuvalappil Narayanan,Panichikkal Abdul Faisal,Sailas Benjamin 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.11

Lithium silicate is one of the suitable heterogeneous catalysts for biodiesel production. The possibilities of large number of combinations of different reaction parameters make the optimization of biodiesel production process over various heterogeneous catalysts highly tedious, necessitating the development of alternate strategies for parameter optimization. Here, Box-Behnken design (BBD) coupled with response surface methodology (RSM) is employed to optimize the process parameters required for the production of biodiesel from waste cooking oil using lithium silicate as catalyst. Simple method of impregnation was performed for the material preparation and the catalyst was analyzed using different techniques. It was found that the activity is directly proportional to the basicity data obtained from temperature programmed desorption (TPD) of CO2 over various catalyst systems. The material exhibits macroporous morphology and the major crystalline phase of the most active catalyst was found to be Li2SiO3. The effects of different reaction parameters were studied and a biodiesel yield of 100% was obtained under the predicted optimum reaction conditions of methanol : oil molar ratio 15 : 1, catalyst amount 7 wt%, reaction temperature 55 oC and reaction time 2.5 h. The validation experiments showed a correlation coefficient of 0.95 between the predicted and experimental yield of biodiesel, which indicates the high significance of the model. The fuel properties of biodiesel obtained under the optimum conditions met the specifications as mentioned in ASTM D6751 and EN 14214 standards. Catalyst heterogeneity and low reaction temperature are the major attractions of the present biodiesel preparation strategy.