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Elliptic curve cryptography (ECC) is an effective approach to protect privacy and security of information. Encryption provides only one level of security during transmission over the channel. Hence there is a need for a stronger encryption which is very hard to break. So, to achieve better results and improve security, information has to pass through several levels of encryption. The aim of this paper would be to provide two levels of security. First level comprises of plaintext using as security key compressed block to encrypt text based ECC technique and the second level comprises of scrambling method with compression using 2D Cellular rules. In particular, we propose an efficient encryption algorithm based ECC using Cellular automata and it is termed as Elliptic Curve Cryptosystem based Cellular Automata (ECCCA). This paper presents the implementation of ECCCA for communication over insecure channel. The results are provided to show the encryption performance of the proposed method.

Abstract In developing countries the new emerging problem is pollution emission through vehicles. This problem is largely occurring in metro cities like Mumbai, Delhi and Pune etc. to control the pollution the monitoring system needs to develop. There are various projects on the pollution emission monitoring in various countries but due to the technological, economical differences of developed countries and developing countries these projects cannot be implemented in developing countries. Another aspect of system is cost, the cost of system should be low this can be achieve by using low cost components like ZIGBEE. In this paper a cost effective solution to monitor vehicle pollution and automatic traffic management is discussed. The problems regarding multi tagging, efficiency of on board device can be overcome by proposed system. This system provides traffic management without adding further cost. Keywords: ZIGBEE, PUC, MY SQL, SIAM and vehicle pollution monitoring.

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Job Card Pascal GAUTHIER

Danijela Takač

Pascal Gauthier's job involves understanding customers' needs, designing applications, and facilitating interaction between users and applications. His daily routine consists of working in the office but also meeting with clients, which are often museums, and traveling occasionally to solve problems. The skills needed for the job include proficiency in subjects like math, science, and languages from primary school along with technology skills like graphic design and software programming. Lifelong learning and adaptability are also important since technologies evolve rapidly.

Study of magnetic and structural and optical properties of Zn doped Fe3O4 nan...

Nanomedicine Journal (NMJ)

Objective(s): This paper describes synthesizing of magnetic nanocomposite with co-precipitation method. Materials and Methods: Magnetic ZnxFe3-xO4 nanoparticles with 0-14% zinc doping (x=0, 0.025, 0.05, 0.075, 0.1 and 0.125) were successfully synthesized by co-precipitation method. The prepared zinc-doped Fe3O4 nanoparticles were characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FTIR), vibrating sample magnetometer (VSM) and UV-Vis spectroscopy. Results: results obtained from X-ray diffraction pattern have revealed the formation of single phase nanoparticles with cubic inverse spinal structures which size varies from 11.13 to 12.81 nm. The prepared nanoparticles have also possessed superparamagnetic properties at room temperature and high level of saturation magnetization with the maximum level of 74.60 emu/g for x=0.075. Ms changing in pure magnetite nanoparticles after impurities addition were explained based on two factors of “particles size” and “exchange interactions”. Optical studies results revealed that band gaps in all Zn-doped NPs are higher than pure Fe3O4. As doping percent increases, band gap value decreases from 1.26 eV to 0.43 eV. Conclusion: These magnetic nanocomposite structures since having superparamagnetic property offer a high potential for biosensing and biomedical application.

air pollution

barezsedeeq1

Ecological approaches to educational data

Kai Pata

The document discusses applying ecological principles from natural science to social science, specifically in the contexts of adult education services and online professional networks. It introduces the communicative ecology approach and network approach as methods for analyzing these systems as ecosystems. The goals are to understand how knowledge is accumulated, transformed, and flows through the systems by mapping the networks of actors, ties, and communicative actions between actors. Case studies will examine how vulnerability characteristics may restrict access to adult education opportunities, and analyze content sharing and turn-taking in online professional network threads. Workshop activities will involve collecting and mapping data on these systems using communicative ecology and network analysis tools and frameworks.

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