Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 17 of 17 for “"QA71-90 Instruments and machines"”.
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A new multiperspective framework for standardization and benchmarking of image dehazing algorithms
A standardization and benchmarking framework for image dehazing algorithms based on multiple perspectives is not yet available. Hence, this study proposed a new multi-perspective standardization and benchmarking framework for image dehazing algorithms. Experiments were conducted in three main …
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A comparative study of watermarking techniques in spatial and frequency domains
… can be duplicated, modified, transformed, and diffused very easily. As a result, a watermark that is embedded into the digital data cannot be distinguished from the data itself. Upon request, the watermark can be extracted to prove authorized ownership. In this research, an integration of …
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Comparative study on data searching in linked list & B-tree and B+tree techniques
… test the time of access to data in the database and what is the ratio difference between them. Three search techniques are used in this work namely; linked list, B-tree, and B+ tree. A comparison analysis is conducted using five case databases studies. Experimental results reveal that after the …
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A modified weight optimisation for higher-order neural network in time series prediction
… consist of non-linear, high complexity (noise) and chaotic processes. The challenges in time series prediction are to provide a technique to better understand a dataset. In line with this, the Cuckoo Search (CS) learning algorithm, a kind of metaheuristics techniques employs high-level …
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Developing a hybrid hidden MARKOV model using fusion of ARMA model and artificial neural network for crude oil price forecasting
… affects many economies in terms of budget and expenditure. In view of this, it is of great concern by economists and financial analysts to forecast such a vital commodity. However, Hidden Markov Model, ARMA Model and Artificial Neural Network has many drawbacks in forecasting such as linear …
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An improved directed random walk framework for cancer classification using gene expression data
… by introducing an improved directed random walk (DRW) framework. This improved DRW framework is proposed to identify risk pathway while correctly predict the significant genes. It is named as significant directed walk (SDW) because of its ability to identify significant genes for …
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Implementation of ACR and AVR controls for high voltage gain DC-DC Converter
… (PV) system, wind turbine, data center and Electric vehicle. There are many applications which use the DC-DC boost converter to get higher DC voltage from the low input voltage. In this project, Marx topology boost converter (MTBC) analyzed and proposed for conversion from low input dc …
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Pembelajaran berasaskan aplikasi android menggunakan kaedah permainan bagi kursus asas grafik
… yang dihadapi oleh pelajar untuk memahami isi kandungan dalam kursus Asas Grafik serta mempunyai masalah untuk mencari bahan pembelajaran dalam versi Bahasa Melayu. Oleh yang demikian, penyelidikan ini mempersembahkan satu aplikasi Android menggunakan kaedah permainan bagi kursus Asas Grafik …
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Kesedaran kognitif dalam aplikasi reka bentuk antara muka bagi pemantauan penyelenggaraan
… mengetahui apa yang sedang berlaku di sekeliling anda. Ia dinamik, sukar dikekalkan, dan mudah hilang. Kajian ini dijalankan adalah untuk meneroka kesedaran situasi yang di aplikasikan pada aplikasi reka bentuk antara muka Android. Kajian ini dijalankan dengan menggunakan kaedah kualitatif. Kajian …
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Incremental learning for large-scale stream data and its application to cybersecurity
… to assist with daily tasks, there are more and more applications which have been developed to be fit in one small gadget such as smart phone and tablet. Thus, by carrying this small gadget alone, most of our tasks are able to be settled efficiently and fast. Until the end of 20th century, …
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
… providing an accurate result with less training and testing error. Most of the training algorithms focus on weight values, activation functions, and network structures for providing optimal outputs. Backpropagation (BP) learning algorithm is the well-known learning technique that trained ANN. …
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User profiling in the intelligent office
… while still taking account of user preferences and comfort. To achieve the goal of this research, a data collection system is designed and built. This required a wireless Sensor Network to monitor a wide range of ambient conditions and user activities, and a software agent to monitor user’s …
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A comparative analysis of web-based GIS applications using usability metrics
… of the WGIS application being difficult to learn and understand because special functions are needed to manipulate the maps. Hence, it is essential to evaluate the usability of WGIS applications. Usability is an important factor in ensuring the development of quality, usable software products. On …
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Non-invasive objective assessment of diabetic foot ulcer healing with blood perfusion and tissue oxygenation
… have examined the correlation between blood flow and tissue oxygenation in diabetic wounds. This thesis is a pioneering work that aims to develop a reliable diagnostic tool to address the tremendous need for coordinated and efficient DFU management via prediction of relative blood perfusion (τ) …
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Substitution-based approach for linguistic steganography using antonym
… has been developed to test the proposed approach and it has been verified and validated. This proposed approach has been verified based on its character length stego text towards the cover text, bit size types of the secret text towards the stego text and bit size types of the cover text towards …
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The implementation of persuasive technology principles in mobile application development: a qualitative study
… (PSD) model such as creating users' engagement and acceptance and continuous usage. However, available literatures have not sufficiently address the implementation of these design principles particularly in the context of mobile application development as compared to system development. …
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A functional link neural network with modified cuckoo search for prediction tasks
The impact of temperature, relative humidity and ozone changes bring a sharp warming climate. These changes can cause extreme consequences such as floods, hurricanes, heat waves and droughts. Therefore, prediction of temperature and relative humidity is an important factor to measure the …