Certified Robustness to Programmable Transformations in LSTMs

Deep neural networks for natural language processing are fragile in the face of adversarial examples---small input perturbations, like synonym substitution or word duplication, which cause a neural network to change its prediction. We present an approach to certifying the robustness of LSTMs (and extensions of LSTMs) and training models that can be efficiently certified. Our approach can certify robustness to intractably large perturbation spaces defined programmatically in a language of string transformations. Our evaluation shows that (1) our approach can train models that are more robust to combinations of string transformations than those produced using existing techniques; (2) our approach can show high certification accuracy of the resulting models.

Develop a Parallel Processing System to Recognize the Deaf and Mute Gestures and Apply it based on FPGA

In this paper, we processed an array which represents the human hand image to get the characteristics of this image. So, we used FPGA technique, and the processing operation is partitioned into three threads which is carried out in parallel. Each thread is carried out using the pipeline technique by partitioning thread into four segments. After that, we evaluated the speedup that we get in result of using the pipeline technique and the parallel threads. So, we have the possibility to design an embedded system integrated into chip (SoC), and using the mobile phones as integral devices support the software and hardware resources.

Motion Tracking and Prediction using Fuzzy Logic

One of the principal applications of fuzzy logic is in control system design. Fuzzy logic controllers (FLC) can be used to control systems where the use of conventional control Techniques may be Problematic .in this paper Fuzzy logic controller is fabricated on modern Field Programmable Gate Array (FPGA)Card to track the sun to increase the energy generation efficiency of solar cells. Sun Tracking Controller is tested using model designed by Matlab/Simulink program. Finally we have compared with a conventional perturbation and observation controller. Simulation and experimental results show that performance of the fuzzy controller with FPGA is better than the perturbation and observation controller.

A Novel Approach to the Automation of a Computerized Pollution Control System in Industrial plants

This paper presents an automated system to continuously monitor and control pollution levels of different types of pollutants in industrial plants. Steel producing complexes are considered in this paper to represent an example of industrial plants. The proposed system consists mainly of two major parts; the pollution measuring equipment and the automation system. The measuring devices are sensors, actuators, etc., located at the potential sources of pollutants such as dusts, stacks and chemical processes.