IoT data encryption algorithm for security

This research project is about encryption simulation for IoT data. It is important to enhance the security system when sending and receiving the IoT data. Some of these data, especially the health information for a particular person is very sensitive. Therefore, there is a need to encrypt and protect the data from malicious attack. The technique proposed in this research is using Hash function and encryption method to protect the data. To show the working of the encryption, a simulation is performed. The simulation used is a MATLAB coding. By inserting the number of bit and size of the data with random plain text, the system is able to encrypt the data. The simulation results showing that the encrypted data is completely different from the original data or the data haven't encrypted. Upon encrypted, the data being protected and will be unknown to the malicious. At the end of this research project, the result concluded that the waveforms will show the encryption process

Targeting assistance to the poor using household survey data

It is important that limited government resources be channeled to the poor, but it is not always easy to identify the poor. Which households should be given tranfers when reliable information on incomes is difficult to obtain? The authors of this paper present a simple method for targeting when income is not observable but other characteristics that are correlated with income can be observed. Using survey data taken from Cote d'Ivoire, they predict incomes based on observable characteristics and distribute transfers on the basis of those predictions. It appears that significant reductions in poverty can be achieved using this method.Environmental Economics&Policies,Rural Poverty Reduction,Services&Transfers to Poor,Safety Nets and Transfers,Poverty Assessment

CEO Turnover and Relative Performance Evaluation

This paper examines whether CEOs are fired after bad firm performance caused by factors beyond their control. Standard economic theory predicts that corporate boards filter out exogenous industry and market shocks to firm performance when deciding on CEO retention. Using a new hand-collected sample of 1,590 CEO turnovers from 1993 to 2001, we document that CEOs are significantly more likely to be dismissed from their jobs after bad industry and bad market performance. A decline in the industry component of firm performance from its 75th to its 25th percentile increases the probability of a forced CEO turnover by approximately 50 percent. This finding is robust to controls for firm-specific performance. The result is at odds with the prior empirical literature which showed that corporate boards filter exogenous shocks from CEO dismissal decisions in samples from the 1970s and 1980s. Our findings suggest that the standard CEO turnover model is too simple to capture the empirical relation between performance and forced CEO turnovers, and we evaluate several extensions to the standard model.

AN IMPROVED ALGORITHM FOR THE EXTRACTION OF TRILITERAL ARABIC ROOTS

Stemming in the Arabic language is extracting the root form of the verb, removing inflectional affixes and derivational morphemes. Stemming is a share form of language processing in the systems of information retrieval. It is similar to the morphological processing used in natural language processing, but to some extent has different aims. Stemming is used to reduce word forms to common words. Stemming is the process of removing all affixes from a word to extract its root. This paper describes a stemming algorithm that has been developed for the Arabic language. The algorithm utilizes an important morphological aspect of the Arabic language. The algorithm examines the word and extracts its root. It examines the word letter by letter starting from the end of the word, i.e., from the last letter of the word to the first. The algorithm correctly stems most Arabic words that are derived from roots, and achieves high rate of accuracy. The algorithm has been tested on a corpus of 242 abstracts of Arabic documents from the Proceedings of the Saudi Arabian National Conference

Kinematic Analysis of a Serial - Parallel Machine Tool: the VERNE machine

The paper derives the inverse and the forward kinematic equations of a serial - parallel 5-axis machine tool: the VERNE machine. This machine is composed of a three-degree-of-freedom (DOF) parallel module and a two-DOF serial tilting table. The parallel module consists of a moving platform that is connected to a fixed base by three non-identical legs. These legs are connected in a way that the combined effects of the three legs lead to an over-constrained mechanism with complex motion. This motion is defined as a simultaneous combination of rotation and translation. In this paper we propose symbolical methods that able to calculate all kinematic solutions and identify the acceptable one by adding analytical constraint on the disposition of legs of the parallel module

Workspace Analysis of the Parallel Module of the VERNE Machine

The paper addresses geometric aspects of a spatial three-degree-of-freedom parallel module, which is the parallel module of a hybrid serial-parallel 5-axis machine tool. This parallel module consists of a moving platform that is connected to a fixed base by three non-identical legs. Each leg is made up of one prismatic and two pairs of spherical joint, which are connected in a way that the combined effects of the three legs lead to an over-constrained mechanism with complex motion. This motion is defined as a simultaneous combination of rotation and translation. A method for computing the complete workspace of the VERNE parallel module for various tool lengths is presented. An algorithm describing this method is also introduced

Workspace and Kinematic Analysis of the VERNE machine

This paper describes the workspace and the inverse and direct kinematic analysis of the VERNE machine, a serial/parallel 5-axis machine tool designed by Fatronik for IRCCyN. This machine is composed of a three-degree-of-freedom (DOF) parallel module and a two-DOF serial tilting table. The parallel module consists of a moving platform that is connected to a fixed base by three non-identical legs. This feature involves (i) a simultaneous combination of rotation and translation for the moving platform, which is balanced by the tilting table and (ii) workspace whose shape and volume vary as a function of the tool length. This paper summarizes results obtained in the context of the European projects NEXT ("Next Generation of Productions Systems")

Load Capacity of Curved-up Beams

Straight and curved-up beams are cast as part of portal frame models. The models are made as single-span, double-span, and triple-span models. Experimental investigation is conducted to predict load capacity of curved-up beams compared to straight beams. Load was applied onsite using traditional load application. The enhancement of load capacity of a curved-up beam compared to straight beam is predicted. The enhancement in load capacity is predicted for single-span, double-span, and triple-span portal frame models is presented