Automated queue management system is a system that helps service provider to manage customer in efficient way. The system can ease the customer flow management which is useful for manager of the service provider. The purpose of this project is to develop an Automated Queue Management System for organizing queuing system that can analyze the queue status and take decision which customer to be served first. This project focuses more on the banks queuing system, different queuing algorithm approaches which are used in banks to serve customer and the average waiting time. This queuing architecture model can switch between different scheduling algorithms according to the testing result i.e. the average waiting time by using two different queue control systems, which have developed. There are several process undergo, which control by Intel Galileo Microcontroller that is software-compatible with the Arduino software development environment. Finally, the systems have been tested under different conditions to evaluate its performance.

Previously, electric cable inspection are being done by human. With the advancement of nowadays technology, robot are now being implemented in this situation in order to replace the old-fashioned inspection methods. In this report, the aim of this project is to develop a functional electric cable inspection robot that are able to navigate along electric cables. This robotic device will be able to avoid the electric poles and obstacles as well as to capture and record the defects of the electric cable by using the camera attached to it. This robot need to be in stable condition in order for it not to toppled down or tilt down when doing the inspection. In this project, a new design of the robot are being developed in order for it to achieve its objectives. The user operating system consists of four DC servo motors, two micro DC motor, a remote controller, two cameras, two balancing bar and a screen to display the video feed. This report includes brief discussion on previous methods and robots, theory of operation, design summary, stability analysis and the expected budget for this electric cable inspection robot.

ECG (electrocardiograph) is test that measures the electrical activity of the heart. In an ECG test, the electrical impulses were made while the heart is beating and then it records any problems with the heart’s rhythm and the conduction of the heart beat through the heart which may be affected by underlying heart disease. In this project different signal processing techniques which are in Time-Frequency Domain and Auto-Correlation will be analyze and later, it will be classify to predict the patient’s heart condition whether it is healthy or not Apart of that, this project also used three types of method for automatic classifications which are Signal Analysis Technique, Pattern Recognition and Automatic Classification. MATLAB will be used as a computerized of ECG problems. In MATLAB, the data were analyzed and classified

An automatic fish feeder is a device that automatically feed the fish at a predetermined time. In a way, it is to control the fish feeding activity by using a fish feeder that combined the mechanical system and electrical system to form a device instead of manually feeding the fish by hand. Fish owners whom are away for a long time will have trouble knowing the situation of the pond or aquarium. Thus such device is very convenient. At the same time, the environment needs to be monitored. For this paper, I will monitor the environment in term of water temperature. First of all, the device will consist of a motor, stand, fish storage, PLC (Programmable Logic Circuit) and a GSM (Global System for Mobile). The device will feed the fish by dropping the feed from the storage through a hole. The size of the hole is controlled by a piece of block connected to a motor. A timer is used to control the number of feeding time at an interval of time. Plus, there is a feedback system that sense the level of feed left in storage. It will give warning to the user through SMS (Short Messaging Service) so the user will put new feed into the storage. With this, the user or the owner can be away from home with the device monitoring the aquarium condition.

In this report, pole placement controller has been developed for hydraulic semi-active force adjustable damper: 2DOF quarter car model together with 5th order differential equations of damper model is considered. For the purpose of minimizing the car body vertical acceleration in order to improve the ride quality of the car the controller is developed. Four states were investigated. The car body displacement, car body velocity, wheel displacement and wheel velocity. Controllability and stability analysis were performed for the open-loop non-linear and linearized model which lead to the necessity of developing the controller as open-loop system appeared to be unstable. Various control theories on suspension system were investigated in this report, where the challenging part is to improve riding quality while maintaining good handling characteristics subject to different road profile. While developing the pole placement controller, the closed –loop poles were to be placed for both rebound and compression models of the system via MATLAB software. Through simulation, the developed controller proved to be achieving the aims of this project by minimizing the car body vertical acceleration consequently ride quality and comfort can be achieved.

In this paper, we obtain some Lyapunov-type inequalities for a class of fractional order difference equations with homogeneous boundary value conditions, the results of this paper are new and generalize some early results in the literature.

The concept of tall structures is not new to the world, yet the trend of high-rise construction started in the nineteenth century. High-rise or multi-storey buildings are being constructed either to cater for a growing population or as a landmark to boost a country’s name and get recognition. Any structure, to be reliable and durable, must be designed to withstand gravity, wind, earthquakes, equipment and snow loads, to be able to resist high or low temperatures, and to assimilate vibrations and absorb noises. This has brought more challenges for the engineers to cater both gravity loads as well as lateral loads. Earlier buildings were designed for the gravity loads but now, because of height and seismic zone, the engineers have taken care of lateral loads due to earthquake and wind forces. Seismic zone plays an important role in the earthquake resistant design of building structures because the zone factor changes as the seismic intensity changes from low to very severe. In present research we have used square grid of 12m in each direction of 4m bay in each direction in seismic zone 5.Software used is Staad proV8i select series 5 and the work has been carried out for the different cases with lateral load resisting systems like Shear wall, Bracing, Moment Resisting Frames and check their efficiency by comparing nodal displacements, relative displacement of beams, maximum moments and shear forces in beams and thereby predicting their efficiency.

Human face, facial feature detection and Segmentation have attracted a lot of attention because of their wide applications. In computer-human interaction, face recognition, video surveillance, security system and so many application use automatic face detection. This paper is about a study of detecting human faces within images and segmenting the face into numbered regions which are the face-, mouth-, eyes- and nose regions respectively. For face detection we have used the Viola–Jones object detection framework. Sometime the VJOD make a false frame of object detection. Here trying to detect the problem of identification and improve the detection quality by changing the threshold value. It detect the frontal face of human which is 2D. From detected face image we separate the extracted part of face in a single image and Segment nose, eyes, lip and hole face portion by Discontinuous based Image Segmentation. The development and experiments demonstration of this research is done on MATLAB 2013. The learning behavior of the algorithm was tested on different face of human.

This paper investigates the differences in mean cost, revenue, and profit efficiency of conventional and Islamic banks based on size and location by using three sets of samples over the 1992–2007period from 54 countries. The study uses financial ratio analysis. The results showed that Islamic banks in both samples are more cost efficient than the conventional banks. While, the results of revenue efficiency (ROAE) ratio reveal that conventional banks are more profitable. However, the results of profit efficiency were inclusive.

In this paper, it is proposed that a particle swarm optimization (PSO) based partial transmit sequence (PTS) technique is used so that least Peak-to-Average Power Ratio(PAPR) is achieved in Multiple Input Multiple Output- Orthogonal Frequency Division Multiplexin gsystems (MIMO-OFDM). Our approach is to apply PSO based PTS on each antenna of the system helping to find the optimal phase factors, which is a straightforward method to achieve minimum PAPR in this system. PSO based PTS algorithm when applied to MIMO-OFDM systems with a wide range of phase factors, results in high performance after simulation. The results PAPR achieved for 16X16 MIMO-OFDM systems without PTS using 16-QAM is 15.8dB whereas with PTS the PAPR achieved is 7.1 dB therefore overall reductions PAPR with and without PTS is 8.7 dB. Similarly PAPR achieved for 16X16 MIMO-OFDM systems without PTS-PSO using 16-QAM is 15.8 dB whereas with PTS-PSO the PAPR achieved is 3.6 dB therefore overall reductions PAPR with and without PTS is 12.2 dB. The final reduction in PAPR resulted as 8.7 dB and 12.2 dB respectively.