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Pre-School education it is an important issue in modern family. Players in this field, whether private or government agencies, are trying to be the main operators for providing the best services. Selecting the best pre-schools put parents in dilemma due to the variety of options offered by the institutions. Parents are influenced by various factors such as fees, contents and facilities. However, parents...
Services provided by distributed generation (DG) to power generation and transmission systems have become an urgent necessity due to increase in load demand in recent years. These services include bridging the lack of central generation, increase the reliability of the network, reduce the inactive power in the system, and improve the margin of voltage for the network. On the other hand, the use of...
This paper demonstrates the difference in rules and their impact in procedural generation of item in role-playing game. The main aims of this project are to: create a wave challenge-based game prototype that generates 2 items using the two rule-based randomized algorithms per wave, and identify the reasons in rules that affect the user's preference of item. Experimental results demonstrate success...
The emerging of the intelligent transportation system especially in the research area of traffic surveillance and solving traffic congestions, become notably crucial for traffic operators in the aim of achieving efficient vehicle flow. However, behavioural manoeuvres that describe the pattern of vehicles movements and change of the vehicle flow are not sufficiently modeled based on the conventional...
This project aims to improve the throughput, energy consumption and overhead of vehicular ad hoc network (VANET) by optimising the network coding (NC) using Genetic Algorithm (GA). VANET shows a promising technology as it could enhance the traffic efficiency and promote traffic safety on the road systems. The conventional store-and-forward transmission protocol used in the intermediate node(s) simply...
This paper discusses the findings of a study that examined the effectiveness of the combined method based on the Half-Sweep (HS) iteration and the Modified Successive OverRelaxation (MSOR) method in solving path planning problems faced by a mobile robot when operating in indoor environments. This method used the Laplace's equation to compute the distribution of potential values in the simulated environments...
As cloud computing becomes popular, Platform as a Service (PaaS) plays an important role in a modern cloud system. The orchestration and efficiency attract more attention and demand a more intelligent solution. In this paper, we present Next Generation PaaS (NG-PaaS) which provides resource management, application management and performance monitoring. The NG-PaaS is built on docker to enable fine-grained...
Floods are a natural phenomenon that frequently occur in Malaysia. Flooding will cause water to become cloudy or turbid. In this situation, the supply of clean drinking water is the most affected component. Therefore, many researchers have designed a water filter system to overcome these problems. One of them is used chemical as purifying agen, or known as coaguland and flocculation process. In this...
Various researches had attempted to unveil the technique of virtuoso pianists using technologies. These researches employ different types of sensors in order to capture motion data of piano playing. Researches that embark on this area faced a common problem, the sensors used in these works are directly touching the pianist, in other words this causes a change of piano playing experience. Since piano...
The idea of lip reading as a visual technique which people may use to translate lip movement into phrases without relying on speech itself is fascinating. There are numerous application areas in which lip reading could provide full assistance. Although there may be a downside to using the lip reading system, whether it may range from problems such as time constraint to minor word recognition mistakes,...
This paper presents a robust optimal controller for a Hovering Autonomous Underwater Vehicle (HAUV) in station keeping. The proposed controller does not require added mass, hydrodynamic drag force, and buoyancy force information of the HAUV system. The proposed controller is a time invariant controller which combined optimal control technique and robust filter control technique. The optimal control...
Electric Vehicles (EV) are becoming more popular, advanced and connected to the internet, the users are being encouraged to use new technologies for tracking, monitoring and controlling their EVs. The experienced users tend to monitor and control specific EV parts including ABS, Airbag, and Air Condition easily and seamlessly. Currently, there is no a distinct system at all that would integrate all...
This paper presents a fast distributed maximum power point tracking (MPPT) to minimize the power loss during high transient mismatching occurrence of each PV solar module. The developed MPPT system employs a hybrid combination of direct and indirect method with integrated of soft-computation algorithm approach for maximum harvested energy of photovoltaic system. The MPPT algorithm supported by Particle...
This paper presents a neural-network-based approach for the detection of misplaced and missing regions in images. The main objective of this project is to develop an intelligent system that can identify a misplaced or missing region of a tested image. The system can be used to detect misplaced and missing components of printed circuit boards during the manufacturing process. Jigsaw puzzle pieces can...
Obesity is known as a main cause of diabetes and cardiovascular disease. However, the relationship between blood glucose and cholesterol levels among the obese subjects who are diagnosed as pre-diabetic is indistinct and still undergoing. Thus, this study is mainly focused on finding the linkage between blood glucose and cholesterol levels in the pre-diabetic subjects as to explain the cause of diabetes...
Particle swarm optimization (PSO) is a well-known metaheuristic and population based optimization algorithm. PSO has been used in many science and engineering applications. One of the examples include as a source searching algorithm in swarm robotics. In general, PSO searching performance is determined by its parameters include inertia weight and acceleration coefficients. In this paper, a comparison...
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