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Keyword: AlgorithmsDesigning a Smart Car Parking System (PoC) Prototype Utilizing CCTV Nodes: A vision of an IoT parking system via UCD process
Using smart parking systems has become very important, and particularly so for metropolitan areas, because of the benefits for drivers in many aspects, such as time, frustration, stress, and anger, in addition to the increased consumption of fuel while searching for a vacant parking space. This paper proposes a review of recent advances in sensing…
Read MoreA Theoretical and Experimental Comparison of One Time Pad Cryptography using Key and Plaintext Insertion and Transposition (KPIT) and Key Coloumnar Transposition (KCT) Method
One Time Pad (OTP) is a cryptographic algorithm that is quite easy to be implemented. This algorithm works by converting plaintext and key into decimal then converting into binary number and calculating Exclusive-OR logic. In this paper, the authors try to make the comparison of OTP cryptography using KPI and KCT so that the ciphertext…
Read MoreModification of Symmetric Cryptography with Combining Affine Chiper and Caesar Chiper which Dynamic Nature in Matrix of Chiper Transposition by Applying Flow Pattern in the Planting Rice
Classical cryptography is a way of disguising the news done by the people when there was no computer. The goal is to protect information by way of encoding. This paper describes a modification of classical algorithms to make cryptanalis difficult to steal undisclosed messages. There are three types of classical algorithms that are combined affine…
Read MoreThree-Pass Protocol Implementation in Vigenere Cipher Classic Cryptography Algorithm with Keystream Generator Modification
Vigenere Cipher is one of the classic cryptographic algorithms and included into symmetric key cryptography algorithm, where to encryption and decryption process use the same key. Vigenere Cipher has the disadvantage that if key length is not equal to the length of the plaintext, then the key will be repeated until equal to the plaintext…
Read MoreOptimisation of Software-Defined Networks Performance Using a Hybrid Intelligent System
This paper proposes a novel intelligent technique that has been designed to optimise the performance of Software Defined Networks (SDN). The proposed hybrid intelligent system has employed integration of intelligence-based optimisation approaches with the artificial neural network. These heuristic optimisation methods include Genetic Algorithms (GA) and Particle Swarm Optimisation (PSO). These methods were utilised separately…
Read MoreSelf-Organizing Map based Feature Learning in Bio-Signal Processing
Feature extraction is playing a significant role in bio-signal processing. Feature identification and selection has two approaches. The standard method is engineering handcraft which is based on user experience and application area. While the other approach is feature learning that based on making the system identify and select the best features suit the application. The…
Read MoreA Highly-Secured Arithmetic Hiding cum Look-Up Table (AHLUT) based S-Box for AES-128 Implementation
Side-Channel Attack (SCA) is an effective method in extracting the secret key of cryptographic algorithms by correlating the physical leakage information with the processed data. In this paper, we propose an arithmetic hiding cum Look-up Table (AHLUT) based Substitution-Box (S-Box) in AES-128 cryptographic algorithm implementation to countermeasure against SCA. There are three key features in…
Read MoreComputational Intelligence Methods for Identifying Voltage Sag in Smart Grid
In recent years pattern recognition of power quality (PQ) disturbances in smart grids has developed into crucial topic for system equipments and end-users. Undoubtedly analyzing the PQ disturbances develop and maintain smart grids effectiveness. Voltage sags are the most common events that affect power quality. These faults are also the most costly. This paper represents…
Read MoreSolving the Capacitated Network Design Problem in Two Steps
In this paper, we propose a two steps-based algorithm to solve the modular link version of the Capacitated Network Design Problem (CNDP) which consists to determine the optimal network that guarantees the routing of a set of commodities. In our proposition, CNDP is divided into two sub-problems: Network Design problem (NDP) and Network Loading Problem…
Read MoreDevelopment and Validation of a Heat Pump System Model Using Artificial Neural Network
Modeling of direct expansion (DX) air conditioning and heat pump systems can be necessary in developing energy saving methods required to reduce energy consumption in buildings. The artificial neural networks (ANN) can be simple and reliable as compared to traditional methods. A properly trained artificial neural network can provide accurate results, while being relatively straightforward…
Read MoreMedical imbalanced data classification
In general, the imbalanced dataset is a problem often found in health applications. In medical data classification, we often face the imbalanced number of data samples where at least one of the classes constitutes only a very small minority of the data. In the same time, it represent a difficult problem in most of machine…
Read MoreImproving customs’ border control by creating a reference database of cargo inspection X-ray images
Countries’ effective and efficient border security is becoming increasingly important in today’s global world of economy and trade. To ensure these, customs organisations are responsible for the prevention of illicit goods’ transportation across borders, particularly upon entry. The predicament of the customs administrations will soon be aggravated by both the increase of global trade and…
Read MoreEfficient Resource Management for Uplink Scheduling in IEEE 802.16e Standard
The IEEE 802.16e standard, known as mobile Worldwide Interoperability for Microwave Access (WiMAX) becomes the most demanding broadband wireless access (BWA) technology recently. Its main advantage is rapid delivery of services in remote areas due to the cost efficiency factor. The base station (BS) supports data rate up to 70 Mbps, mobile stations with 5–15…
Read MoreRecent Trends in ELM and MLELM: A review
Extreme Learning Machine (ELM) is a high effective learning algorithm for the single hidden layer feed forward neural networks. Compared with the existing neural network learning algorithm it solves the slow training speed and over-fitting problems. It has been used in different fields and applications such as biomedical engineering, computer vision, remote sensing, chemical process…
Read MoreA Comparative Study For Color Systems Used In The DCT-DWT Watermarking Algorithm
This paper presents a comparative study of using different color systems on watermarking algorithms. This comparison aim is to determining the robustness and the stability of the color systems used in the watermarking scheme. The watermarking algorithm that is used in this paper is a hybrid scheme using the Discrete Wavelet Transform (DWT) in the…
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