Dr. Ashenhurst set the tone of the session by saying that the panel would discuss systems analysis in the industrial management sense, "With a view toward coordinating educational programs with management needs".

Systems analysis and design

System Analysis and design

Cooling performance of nanofluid submerged vs. nanofluid circulated battery thermal management systems

The Internet has consolidated itself as a very powerful platform that has changed the communication and business transactions. Now, the number of users navigating through the Internet is more than 2.4 billion. This large audience demands online commerce, knowledge sharing, social networks etc., which grew exponentially over the past few years. Thus, it leads to the need for security and enhanced privacy. In recent days, fraud over the Internet constitutes one of the main drawbacks for the widespread of the use of commercial applications. Therefore, the three vital security issues take place every day in our world of transparent fashion, more precisely: identification, authentication and authorisation. Identification is a process that enables recognition of an entity, which may be either, a human, a machine, or another asset such as a software programme. In security systems, authentication and authorisation are two complementary mechanisms for determining who can access the information resources over a network. Many solutions have been proposed in the literature, from a simple password to recent technologies based on RFID (Radio Frequency IDentification) or biometrics (Mahier et al., 2008). This paper provides an overview on existing authentication methods, and its pros and cons when designing an online service.

https://hal.archives-ouvertes.fr/hal-00912435/document

A Review on Authentication Methods

As the majority of online networking on the Internet, opinion mining has turned into a fundamental way to deal with investigating such huge numbers of information. Different applications show up in an extensive variety of modern areas. In the interim, opinions have various pronunciations which bring along investigate challenges. The research challenges make opinion mining a dynamic research region recently. In this paper, Natural Language Processing (NLP) techniques for opinion mining and sentiment analysis are reviewed. Initially NLP is reviewed then briefed about its common and useful preprocessing steps also. In this paper opinion mining for various levels are analyzed and reviewed. At the end issues are identified and some recommendation are suggested for opinion mining and-sentiment-analysis.

/pdf/review-on-natural-language-processing-nlp-and-its-toolkits-31xw449alb.pdf

Review on Natural Language Processing (NLP) and Its Toolkits for Opinion Mining and Sentiment Analysis

Owners of industries traveling around the world need some system from where they can monitor and keep control of their industry remotely. Speedily advancing software technologies have made it possible to develop a new generation of Supervisory Control and Data-Acquisition (SCADA) system. This generation of SCADA is known as PROPOSED SCADA SYSTEMS. This paper present a concept of how industrial and commercial areas can be monitored and controlled via SCADA system from anywhere in the world on supported portable devices. Through Remote access of SCADA, the Remote Desktop Protocol (ROP) brings SCADA real-time and passes information to users. The presented solution provides reduced software costs while improving reliability. The system also allows Open Process Control (OPC) linkage between the controller and SCADA systems. An additional monitoring approach in this system is lP CAMERAS based online visual monitoring. Life videos of the industry and commercial area can be viewed from anywhere in the globe on the portable devices. The proposed concept is simulated on two prototype industrial plants 1) An automated Car Wash System and 2) Load Cell based luggage segregation. Proposed system was tested on simulator and show remarkable results.

Remote access of SCADA with online video streaming

In this paper, differential steering control with proportional controller method are developed. In the steering control of mobile robot, the underlying dynamics of processes are often highly complex due to operating problems such as actuator constrains, time delay and disturbances. Because of these reasons, many control system of mobile robots require extensive retuning the control parameter and the worst cases may result in redesigning or change the control program and hardware. To solve the above mentioned problems, we use proportional control method. Based on the model proportional control method, we predict the path that the mobile robot will follow by using the current velocities of the right wheel and the left wheel which update the real-time current position of mobile robot. The model proportional method is to overcome time delay cause by slow response of the sensor and other dynamic processes. The outputs from the control are the velocity and angular velocity of mobile robot. From these velocity and angular velocity of mobile robot we determine the number of encoder pulses for the right wheel and left wheel. The number of encoder pulses for the right wheel and left wheel are input to the right DC motor and to the left DC motor of mobile robot to generate the velocity of each wheel. The proportional controller is used to produce the same speed of the right wheel and the left wheel in order to make the mobile robot move in a straight line. It also used to produce the desired speed of the right wheel and left wheel for steering control to make left or right turning.

A differential steering control with proportional controller for an autonomous mobile robot

This research article discusses a Model Predictive Control(MPC) based, digital control strategy for single-phase Pulse Width Modulated (PWM) voltage source inverters, used in Uninterrupted Power Supplies (UPS) for single-unit systems. In this research work, the development of inverter system based on state-space model is first studied and then MPC technique is implemented as control strategy for single inverter. The experimental setup includes a single inverter using a switch and a de-bouncing circuit and a DSP Kit. Experimental results for open-loop and closed-loop single inverter system using a linear and a dynamic load is presented. The effectiveness of the proposed algorithm for controlling the system has been examined and the dynamic performance and the robustness property are demonstrated. The system has been implemented and tested with different loads. The results show that the inverter performs reasonably well.

Model Predictive Controller-based, Single Phase Pulse Width Modulation (PWM) Inverter for UPS Systems

Steering control for path tracking and navigation are important for the autonomous vehicle. A good steering control system can determine the success of autonomous navigation through designed paths. Comfort and safety for the passenger are the main concerns in developing a controller for an autonomous electric vehicle (AEV). Comfort and the safe autonomous system can be achieving by imitating human intelligence and decision-making ability into the controller. A GPS module couple with a fuzzy controller to follow the designed path. Steering is control by using brushless DC motor with certain gear configuration. In order to achieve better drive performance for the autonomous vehicle, the behaviors of human subjects are studied and investigated. Investigation of steering angle on 3 different paths is designed to study the driving patterns by the human subjects, which are straight, turn right and turn left. The results show satisfactory outcomes as the subject navigates through the designed path with the similar patterns. The average value of steering wheel angle for the straight, right and left path are 13°, −151°, and 237°, respectively. The maximum angle to turning to the left and right are 286° (subject #1) and −226° (subject #1). This paper consists of the construction of a Fuzzy logic controller to control steering wheel and experiments set-up to develop the Fuzzy controller for an autonomous vehicle.

Investigation of Steering Wheel Control of an Electric Buggy Car for Designing Fuzzy Controller

Particle Swarm Optimization (PSO) algorithm has been applied and found to be efficient in many searching and optimization related applications. In this paper, we present a modified version of the algorithm that we successfully applied to facial emotion detection. Our approach is based on tracking the movements of facial action units (AUs) placed on the face of a subject and captured in video clips. We defined particles that form swarms such that they have a component around the neighborhood of each AU. Particles are allowed to move around the effectively n-dimensional search space in search of the emotion being expressed in each frame of a video clip (where n is the number of action units being tracked). We have implemented and tested the algorithm on video clips that contain three of the six basic emotions, namely happy, sad and surprise. Our results show the algorithm to have a promising success rate.

Hazry Desa

Papers

Remote access of SCADA with online video streaming

A differential steering control with proportional controller for an autonomous mobile robot

Model Predictive Controller-based, Single Phase Pulse Width Modulation (PWM) Inverter for UPS Systems

Investigation of Steering Wheel Control of an Electric Buggy Car for Designing Fuzzy Controller

Particle Swarm Optimization algorithm for facial emotion detection