Determining the Secondary Structure of Elapid Toxins using Multi-Layer Perceptrons and Kohonen Networks

In this paper, a two-stage neural network consisting of a feed-forward neural network and a Kohonen self-organizing map, has been used to predict secondary structure. We have applied our methods to determine the structure of 245 proteins containing neurotoxins, cytotoxins, cardiotoxins and three-finger toxins, derived from venoms of Elapid snakes. In doing so, the system achieved a Q3 score of 70%, which is quite remarkable

Securing Text Transmission in E-learning through Natural Language Steganography: An Object Oriented Approach

With the increasing availability of Internet, the e-learning is also getting popularity at a high speed. But for a secure and efficient e-learning system security is a great matter of concern. Some of the important documents transmit between the participants of e-learning are text files like the user id of the learner or the teacher, password, private keys etc. If the hacker can reach these documents, they can get full access of the system which resulting fake marks sheet or admit card, which is very harmful for any e-learning institute. So text steganography is a good technique through which confidential and valuable data may be transacted securely by integrating text steganography along with AES block cipher. In this paper, we proposed a model for securing the transmission of text documents from the sender to receiver in an e-learning system wrapped with AES encryption algorithm, which provide better security

OBJECT ORIENTED METRIC BASED ANALYSIS OF TEXT TRANSMISSION IN E-LEARNING THROUGH NATURAL LANGUAGE STEGANOGRAPHY

E-learning is an application of information and communication technology in the field of learning. Through steganography the e-learning institution can provide security to other participants of e-learning like teacher and learner. Here we use text steganography with modified SNOW algorithm while passing secret texts from the administrator to the learner in an e-learning system. In this paper, we calculate the object oriented metric based analysis of CK and MOOD metrics of our proposed model, which ensures the advantages of code redundancy, code reusability, and cost effectiveness and so on

Flavour Enhanced Food Recommendation

We propose a mechanism to use the features of flavour to enhance the quality of food recommendations. An empirical method to determine the flavour of food is incorporated into a recommendation engine based on major gustatory nerves. Such a system has advantages of suggesting food items that the user is more likely to enjoy based upon matching with their flavour profile through use of the taste biological domain knowledge. This preliminary intends to spark more robust mechanisms by which flavour of food is taken into consideration as a major feature set into food recommendation systems. Our long term vision is to integrate this with health factors to recommend healthy and tasty food to users to enhance quality of life.Comment: In Proceedings of 5th International Workshop on Multimedia Assisted Dietary Management, Nice, France, October 21, 2019, MADiMa 2019, 6 page

MAXIMIZATION OF WEAR RATES THROUGH EFFECTIVE CONFIGURATION OF STANDOFF DISTANCE AND HYDRAULIC PARAMETERS IN ULTRASONIC PULSATING WATERJET

A pulsating waterjet is a technological modification of a conventional waterjet that utilizes ultrasonic vibrations to generate a modulated jet, resulting in repetitive fatigue loading of the material. The erosion efficiency of the ultrasonic pulsating waterjet is majorly determined by the hydraulic factors and its interaction with standoff distance. However, the dependency of the wear rates on different hydraulic factors and formulation of an implicit prediction model for determining effective standoff distance is still not present to date. Therefore, in this study, the combined dependency of the supply pressure (20-40 MPa), nozzle diameter (0.3-1.0 mm), and standoff distance (1-121 mm) on wear rates of AW-6060 aluminum alloy are studied. Statistical analysis is used to determine the statistically significant factors and formulate regression equations to determine output responses within the experimental domain. The surface topography and sub-surface microhardness of the eroded grooves were studied. The results show that both the disintegration depth and the material removal increase with an increase in the nozzle diameter and supply pressure. However, the dependency of the output responses on nozzle diameter is statistically more evident than supply pressure and two-way interactions. Cross-sectional images of the grooves showed typical hydrodynamic erosion characteristics in erosion cavities, subsurface voids, and material upheaving. The results of microhardness analysis showed an approximately 15-20% increase in hardness values compared to the untreated samples

Efekt vícenásobného dopadu vodních kapek na integritu CFRP kompozitu

Práce se zabývá erozí vícenásobným dopadem kapek na povrch polymerního kompozitu vyztuženého uhlíkovými vlákny (CFRP). Pro studium byla použita inovativní technologie pulzujícího vodního svazku (PWJ), kdy dochází k rozpadu kontinuálního vodního svazku na diskrétní shluky kapek. Pro analýzu vývoje eroze v čase byla použita zvyšující se doba expozice. Hydraulické parametry byly následující: tlak 20 MPa, tento tlak vede k vytvoření proudu o rychlosti 184 m/s, při průměru trysky 0.2 mm. Erozní expozice se zvyšovala od 2 sekund do 15 sekund s krokem 1 sekunda. Vytvořené kapky dopadaly na povrch s frekvencí 40kHZ. Hloubka erozních kráterů byla vyhodnocena pomocí konfokálního mikroskopu a mechanismus eroze byl pozorován pomocí skenovacího elektronového mikroskopu (SEM). Cílem práce bylo provést předběžný výzkum zabývající se erozním vývojem a určováním erozní odolnosti kompozitu s uhlíkovými vlákny.GAČR 23-05372

An investigation on microstructural features and bonding strength of magnesium-based multifunctional laminated composite developed by friction stir additive manufacturing

Recently, the demand for lightweight multilayered parts in electronics and biomedical felds has been accelerated and shown great interest in understanding the combined efect of multilayered materials. However, these industries are still facing the challenge of developing dissimilar multilayered materials that can be suitable for biomedical applications. In this context, magnesium emerges as a promising biocompatible material used for several biomedical applications. However, the issues related to joining magnesium alloys with other similar materials still need to be solved. Moreover, friction stir additive manufacturing (FSAM) occupies a niche domain for developing or joining biocompatible materials such as magnesium alloys with low weight and high strength. Therefore, the present work highlights the development of a multipurpose three-layered multifunctional laminated composite plate of magnesium-based AZ31B–Zn–Al 1100 through the FSAM route. Micro structural and morphological examinations were carried out by light microscopy and FESEM equipped with EDS analysis and line mapping. Moreover, the grain refnement at the interfaces during the FSAM was also addressed using the electron backscattered difraction (EBSD) study. Further, investigation on mechanical properties such as tensile test with fractography analysis and microhardness variation at the cross-section of the built-up section has been investigated. Furthermore, the cor rosion and tribological analysis was also performed, and a 3D proflometer was used to visualize the corroded and worn-out surfaces. The microstructural results revealed that the average grain size of 6.29 μm at interface AZ31B–Zn and 1.21 μm at interface Zn–Al 1100 occurred, improving the bonding strength and overall properties. The tensile strength has occurred as 171.5 MPa at 15.5% elongation, whereas maximum microhardness is reported as 105 HV at the interface of AZ31B–Zn and 84.6 HV at the interface of Zn–Al 1100. The corrosion rate was calculated as 0.00244 mm/day, and the average coefcients of friction (COF) for both the interfaces, such as AZ31B–Zn and Zn–Al 1100, are 0.309 and 0.212, respectively.Web of Science1281-254653

Study of surface integrity and effect of process parameters in wire electrical discharge turning of Ti-6Al-4V

Wire electrical discharge turning set-up has been developed by modifying the conventional five axes CNC WEDM machine. The main objective of this setup is to achieve cylindrical forms on hard to cut materials. This work focuses on the study of effect of input process parameters like pulse on-time, pulse off time, gap voltage, spindle rotational speed on output responses like surface roughness, material removal rate and wire wear ratio. A mathematical model of responses has been developed using response surface methodology and the optimal value of process parameters has been obtained by desirability function. Surface morphology studies of the machined surface and the worn-out wire has also been elaborated by FE-SEM images. The results show that with an increase in machining parameters value except pulse-on time, all the desired machining outcome decreases. Surface roughness, material removal rate and wire wear ratio have been found in the range of 1.99 μm – 1.37 μm, 7.55 – 13.66 mm3/min and 0.05–0.08, respectively. The formation of thick recast layer over the machined surface has also been discussed. The reduction in wire dimension has been calculated by optical microscopy and its morphology has been discussed by FE-SEM images

Study of surface integrity and effect of process parameters in wire electrical discharge turning of Ti-6Al-4V

267-276Wire electrical discharge turning set-up has been developed by modifying the conventional five axes CNC WEDM machine. The main objective of this setup is to achieve cylindrical forms on hard to cut materials. This work focuses on the study of effect of input process parameters like pulse on-time, pulse off time, gap voltage, spindle rotational speed on output responses like surface roughness, material removal rate and wire wear ratio. A mathematical model of responses has been developed using response surface methodology and the optimal value of process parameters has been obtained by desirability function. Surface morphology studies of the machined surface and the worn-out wire has also been elaborated by FE-SEM images. The results show that with an increase in machining parameters value except pulse-on time, all the desired machining outcome decreases. Surface roughness, material removal rate and wire wear ratio have been found in the range of 1.99 µm – 1.37 µm, 7.55 – 13.66 mm3/min and 0.05–0.08, respectively. The formation of thick recast layer over the machined surface has also been discussed. The reduction in wire dimension has been calculated by optical microscopy and its morphology has been discussed by FE-SEM images