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Keyword: ANNComputer Aided Classification using Support Vector Machines in Detecting Cysts of Jaws
Jaw cyst is one of the most common pathology observed in the field of dentistry. Early detection of the cystic lesion will help the surgeons to take appropriate therapeutic measures after a thorough diagnostic procedure. One of the challenging task for surgeons is to differentiate the cysts from the other pathologies. The appearance of these…
Read MoreHuman Robot Interaction for Hybrid Collision Avoidance System for Indoor Mobile Robots
In this paper, a novel approach for collision avoidance for indoor mobile robots based on human-robot interaction is realized. The main contribution of this work is a new technique for collision avoidance by engaging the human and the robot in generating new collision-free paths. In mobile robotics, collision avoidance is critical for the success of…
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 MoreA comparative between CRISP-DM and SEMMA through the construction of a MODIS repository for studies of land use and cover change
Among the most popular methodologies for development of data mining projects are CRISP-DM and SEMMA, This research paper explains the reason why it was decided to compare them from a specific case study. Therefore, this document describes in detail each phase, task and activity proposed by each methodology, applying it in the construction of a…
Read MoreRFID Antenna Near-field Characterization Using a New 3D Magnetic Field Probe
In this paper the design of a new 3D magnetic field (H-field) probe with a near-field scanning system is presented, then the near electromagnetic fields radiated by a Library RFID system is characterized. The proposed system is developed in order to determine the magnetic near-field emitted by electronic devices. The designed isotropic H-field probe consists…
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 MoreSecurity in SWIPT with Power Splitting Eavesdropper
Simultaneous wireless information and power transfer (SWIPT) has drawn significant research interest in recent years. In this paper, we investigate the information theoretic secrecy of a SWIPT system under Weibull fading channel. To be specific, we analyze the information security in the presence of an energy harvesting and information decoding eavesdropper. All links are subjected…
Read MoreA Computationally Intelligent Approach to the Detection of Wormhole Attacks in Wireless Sensor Networks
A wormhole attack is one of the most critical and challenging security threats for wireless sensor networks because of its nature and ability to perform concealed malicious activities. This paper proposes an innovative wormhole detection scheme to detect wormhole attacks using computational intelligence and an artificial neural network (ANN). Most wormhole detection schemes reported in…
Read MoreClassifying region of interests from mammograms with breast cancer into BIRADS using Artificial Neural Networks
Breast cancer is one of the most common cancers among female diseases all over the world. Early diagnosis and treatment is particularly important in reducing the mortality rate. This research is focused on the prevention of breast cancer, therefore it is important to detect micro-calcifications (MCs) which are a sign of early stage breast cancer.…
Read MorePulse Generator for Ultrasonic Piezoelectric Transducer Arrays Based on a Programmable System-on-Chip (PSoC)
This paper describes the design of a pulse generator to excite PZT and PVDF ultrasonic transducer arrays, based on the Programmable System-on-Chip (PSoC) module. In this module, using programmable logic different pulses were implemented; these pulses are required in ultrasonic applications for multiple channels to excite PZT and PVDF transducer arrays. To excite multiple elements,…
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 MoreAviation Navigation with Use of Polarimetric Technologies
The article deals with the problem of increasing the accuracy of determination of aircraft’s navigation flight parameters. Increasing the accuracy and sensitivity of navigation parameters determination will improve the efficiency of air conveyance by optimizing the flight trajectories and reducing the flight time and simultaneously will ensure the sufficient level of air conveyance safety. The…
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 MoreA Derived Metrics as a Measurement to Support Efficient Requirements Analysis and Release Management
This paper presents a Release Management model to support requirements management. Requirements development and management can be integrated with a release-planning approach to achieve lesser Requirements spillover problems which is an innovative way to capture, control and evolve the user requirements based on integer linear programming.
Read MoreEvaluation of Three Evaporation Estimation Techniques In A Semi-Arid Region (Omar El Mukhtar Reservoir Sluge, Libya- As a case Study)
In many semi-arid countries in the world like Libya, drinking water supply is dependent on reservoirs water storage. Since the evaporation rate is very high in semi-arid countries, estimates and forecasts of reservoir evaporation rate can be useful in the management of major water source. Many researchers have been investigating the suitability of estimates evaporation…
Read MoreManagement of Health Information in Malawi: Role of Technology
This paper is an extended version of the conference paper presented at IST Africa Week Conference 2016 and it discusses in detail the existing technology gaps using DHIS2 (District Health Information System 2.0) as an example, and how Geographic Information System (GIS) and mobile application, as specific examples of technology, can enhance health management information…
Read MorePrivacy-by-Design (PbD) IoT Framework : A Case of Location Privacy Mitigation Strategies for Near Field Communication (NFC) Tag Sensor
Near Field Communication (NFC) technology is a short range (range about 10cm) standard extended from the core standard Radio Frequency Identifier (RFID). These technologies are a portion of wireless communication technology. Even though NFC technologies benefit in various field, but it’s still exposed to multiple type of privacy attacks and threat as well since the…
Read MoreDesign and Fabrication of a Dielectrophoretic Cell Trap Array
We present a design and fabrication of an integrated micro-fabricated dielectrophoretic (DEP) cell trap array in a microfluidic channel. The cell trap array is capable of isolating target cells in high-throughput manner and producing cell clusters of tunable cell numbers. In this work, we have used commercially available polystyrene beads to show the concept. Bead…
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 MoreDynamic detection of abnormalities in video analysis of crowd behavior with DBSCAN and neural networks
Visual analysis of human behavior is a broad field within computer vision. In this field of work, we are interested in dynamic methods in the analysis of crowd behavior which consist in detecting the abnormal entities in a group in a dense scene. These scenes are characterized by the presence of a great number of…
Read More10 Gbps Full Duplex Cost Effective Architecture GPON Network with Single Fiber
In this paper, a full duplex Gigabit Passive Optical Network (GPON) architecture supporting 10Gbps data transmission through single fiber cable network is proposed and demonstrated. A Non Return to Zero Differential Phase Shift Keying (NRZ-DPSK) is utilized for downstream and re-modulate the downstream signal using intensity modulator (on-off keying OOK) in Return to Zero (RZ)…
Read MoreRobust µController Implementations for a Linear Pneumatic Actuator Interaction
Over the years, pneumatic systems have recorded a remarkable performance in automated applications, based on their cost to efficiency ratio and ease of energy transmission. Therefore, their drawback of not being totally controllable devices in terms of position accuracy, still represents a challenge task for engineers. In this paper, a traditional three term controller (PID)…
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