Reduced-reference Video Quality Metric Using Spatio-temporal Activity Information

Monitoring and maintaining acceptable Quality of Experience is of great importance to video service providers.  Perceived visual quality of transmitted video via wireless networks can be degraded by transmission errors. This paper presents a reduced-reference video quality metric of very low complexity and overhead that makes use of frame based spatial (SI) and temporal (TI) activity levels to monitor the effect of channel errors on video transmitted over error prone networks. The performance of the metric is evaluated relative to that of a number of full and reduced reference metrics. The proposed metric outperforms some of the most popular full reference metrics whilst requiring very little overhead

A laser pointer communicating toy

This paper aims to design a smart communicating toys system equipped with laser sensors that can send and receive the data message based on the conversion of data from ASCII to binary code. The system intents to offer two-ways communication toys that will be a new medium for educational purposes for kids in their developmental stages in which both players can send and receive the data to and from each other and equipped with sound indicator module to alert the player. Lastly, functionality and system testing were conducted to verify the functionalities of the system

Design and implementation of visible light communication based toys

This paper presents the design and implementation steps of a smart visible light communication based toy system equipped with laser sensors that can send and receive the data message based on the conversion of data from ASCII to binary code. The toy system intends to offer two-ways communication that will be a new medium for educational purposes for kids in their developmental stages in which both players can send and receive the data to and from each other toys equipped with sound indicator module to alert the player. Lastly, functionality and system testing were conducted to verify the functionalities of the system. A thorough implementation methodology details are presented in the paper

Fuzzy Logic based Edge Detection Method for Image Processing

Edge detection is the first step in image recognition systems in a digital image processing. An effective way to resolve many information from an image such depth, curves and its surface is by analyzing its edges, because that can elucidate these characteristic when color, texture, shade or light changes slightly. Thiscan lead to misconception image or vision as it based on faulty method. This work presentsa new fuzzy logic method with an implemention. The objective of this method is to improve the edge detection task. The results are comparable to similar techniques in particular for medical images because it does not take the uncertain part into its account

Reduced-Reference Video Quality Metric Using Spatial Information in Salient Regions

In multimedia transmission, it is important to rely on an objective quality metric which accurately represents the subjective quality of processed images and video sequences. Maintaining acceptable Quality of Experience in video transmission requires the ability to measure the quality of the video seen at the receiver end. Reduced-reference metrics make use of side-information that is transmitted to the receiver for estimating the quality of the received sequence with low complexity. This attribute enables real-time assessment and visual degradation detection caused by transmission and compression errors. A novel reduced-reference video quality known as the Spatial Information in Salient Regions Reduced Reference Metric is proposed. The approach proposed makes use of spatial activity to estimate the received sequence distortion after concealment. The statistical elements analysed in this work are based on extracted edges and their luminance distributions. Results highlight that the proposed edge dissimilarity measure has a good correlation with DMOS scores from the LIVE Video Database

Dual Axes Solar Tracker

Photovoltaic (PV) is one of the most important sources of renewable energy in the world. Its current efficiency could be increased up to 60% by using dual axes solar tracker, which maximise PV exposure to sun. The most important component in dual axes solar tracker is sensing location of the sun. Four light dependent resistors (LDR) are used as the sensors, connected to potentiometers to increase their accuracy. Arduino UNO is used as the controller to control two stepper motors. Two experiments have been carried out, where the tolerance of the LDR has been found to be 0.05V and the calibration of the four LDRs to have the error of 0.03V. Both experiments proved the capability of LDR for dual axes solar tracker and potentiometer to increase their accuracy

Edge dissimilarity reduced-reference quality metric with low overhead bitrate

In multimedia transmission, it is important to rely on an objective quality metric which accurately represents the subjective quality of processed images and video sequences. Reduced-reference metrics make use of side-information that is transmitted to the receiver for estimating the quality of the received sequence with low complexity. In this paper, an Edge-based Dissimilarity Reduced-Reference video quality metric with low overhead bitrate is proposed. The metric is evaluated by finding the dissimilarity between the edge information of original and distorted sequences. The edge degradation can be detected in this manner as perceived video quality is highly associated with edge structural. Due to the high overhead using the Soergel distance, it is pertinent to find a way to reduce the overhead while maintaining the edge information that can convey the quality measure of the sequences. The effects of different edge detection operator, video resolution and file compressor are investigated. The aim of this paper is to significantly reduce the bitrate required in order to transmit the side information overhead as the reduced reference video quality metric. From the results obtained, the side information extracted using Sobel edge detector maintained consistency throughout the reduction of spatial and temporal down-sample

Development of Face Recognition on Raspberry Pi for Security Enhancement of Smart Home System

Nowadays, there is a growing interest in the smart home system using Internet of Things. One of the important aspect in the smart home system is the security capability which can simply lock and unlock the door or the gate. In this paper, we proposed a face recognition security system using Raspberry Pi which can be connected to the smart home system. Eigenface was used the feature extraction, while Principal Component Analysis (PCA) was used as the classifier. The output of face recognition algorithm is then connected to the relay circuit, in which it will lock or unlock the magnetic lock placed at the door. Results showed the effectiveness of our proposed system, in which we obtain around 90% face recognition accuracy. We also proposed a hierarchical image processing approach to reduce the training or testing time while improving the recognition accuracy

Design and comparison of printed antennas using meander line technique

The interest for compact antennas in wireless communication increase due to the portability and mobility of the communication devices. Generally, an antenna at low frequency exhibits in large physical size. This project investigates the design of an antenna at 400 MHz. The simulation of the antenna has been performed using CST MWS. Since medical applications are dealing with low frequency, it will lead to large size of antenna which brings a challenge for wireless personal area network (WPAN). It is well known that the antenna performance decreases (according to Chu’s equation) as the size of antenna decreases. Therefore, antenna miniaturization using Meander Line (ML) will be taking place to overcome the challenges. Thus, this paper presents a comparison between i) printed dipole antenna without meander line technique, ii) printed dipole with meander line technique and iii) printed monopole antenna with meander line technique. The results show that an estimation of reduction size by 50% can be achieved using Meander Line technique

The barriers factors and driving forces for BIM implementation in Malaysian AEC companies

The emergence of high technology in the built environment industry has caused BIM (Building Information Modelling) to become one of the processes that are sought by the construction industry players to enhance and improves the project lifecycle. Previous research showed that BIM implementation had given positive impact to the return of investment (ROI), productivity, lessen disputes between the construction players, saving in construction cost and decrease the risk of project delay which crucial in delivering a project on time. However, the vast majority of AEC companies not interested in BIM because of obstacles and barriers that they need to face in the process of adopting BIM practice. Due to that, this study focusses on investigating the barriers factors in BIM implementation by Malaysian AEC construction industry and identifying the driving forces available to overcome the BIM implementation issues in Malaysia. This study used a questionnaire survey approach for data collection and analyzed it using SPSS. As a result, the critical barrier factors faced by Malaysian AEC companies such as organization cultures, technology, and government recognition are identified. Meanwhile, in term of driven forces to overcome the BIM implementation issues, proper BIM guidelines or standard for BIM requirement has been identified as a crucial factor for successful implementation. Furthermore, BIM Fund also has been found as one of the driven forces for successful BIM implementation where it can help the AEC companies to cover the cost for training, consultancy services, software purchase and hardware for business and project. Drawn specifically within the Malaysian AEC companies in Penang and Kuala Lumpur, these findings provide a basis for fostering the implementation of BIM practice for better project performance