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Keyword: FFOffline Signature Recognition and Verification Using ORB Key Point Matching Techniques
An extensive work has been carried out in the field of human transcribe-verification and transcribe-recognition by extensive scholars across the globe from past decades. In order to demeanour immense experiments for considering the performance of the newly intended models and to substantiate the efficacy of the proposed model which is moderately required. This paper monologue…
Read MoreEfficient Discretization Approaches for Machine Learning Techniques to Improve Disease Classification on Gut Microbiome Composition Data
The human gut environment can contain hundreds to thousands bacterial species which are proven that they are associated with various diseases. Although Machine learning has been supporting and developing metagenomic researches to obtain great achievements in personalized medicine approaches to improve human health, we still face overfitting issues in Bioinformatics tasks related to metagenomic data…
Read MoreEfficiency Enhancement of p-i-n Solar Cell Embedding Quantum Wires in the Intrinsic Layer
A high efficiency InAs/GaAs quantum wire solar cell is modelled embedding periodic array of InAs quantum wires (QW) in the intrinsic layer. The promising low dimensional heterostructure such as Quantum Wells, Quantum Wires, Quantum Dots or Dashed (elongated Dots) based intermediate-band-gap solar cells are recently being grasped the attention for ongoing third generation solar cell…
Read MoreA Solution Applying the Law on Road Traffic into A Set of Constraints to Establish A Motion Trajectory for Autonomous Vehicle
With a model predictive control approach and to set the motion trajectory for an autonomous vehicle in situations where emergency braking cannot be performed, in this paper, we propose a solution to apply the law on road traffic into a set of constraints and thereby build an objective function to create motion trajectory for autonomous…
Read MoreA Survey on Image Forgery Detection Using Different Forensic Approaches
Recently, digital image forgery detection is an emergent and important area of image processing. Digital image plays a vital role in providing evidence for any unusual incident. However, the image forgery my hide evidence and prevents the detection of such criminal cases due to advancement in image processing and availability of sophisticated software tamper of…
Read MoreSentence Retrieval using Stemming and Lemmatization with Different Length of the Queries
In this paper we focus on Sentence retrieval which is similar to Document retrieval but with a smaller unit of retrieval. Using data pre-processing in document retrieval is generally considered useful. When it comes to sentence retrieval the situation is not that clear. In this paper we use TF-ISF (term frequency – inverse sentence frequency)…
Read MoreAngular Orientation of Steering Wheel for Differential Drive
Several drive mechanisms for different robots are at hand in current days. Bicycle steering, Ackerman steering, differential drive are some principal drive mechanisms that are being deployed in robots these days. The differential drive needs the wheel rotations to be updated very frequently. But it is most commonly deployed on the robots with two wheels…
Read MorePerformance Effects of Algorithmic Elements in Selected MANETs Routing Protocols
Over time, several routing protocols have been suggested for use in Mobile Ad Hoc Networks (MANETs). Because of availability of so many MANETs routing protocols, network engineers and administrators face difficulties in identifying an appropriate routing protocol for a particular scenario. This challenge results from the unavailability of adequate technical analytic studies designed to examine…
Read MoreEvaluation of Mini-Hydro Power for Off Grid Electrification in Rural/Isolated Areas in Africa
Rural electrification and sustainable energy services to the less privileged is à major challenge faced in Nigeria. Off-grid power generation via small hydropower plant would mitigate this challenge. This Paper discusses the awareness and assessment of small hydro power for off-grid electrification in rural/isolated areas in Nigeria. In this research, the method of onsite data…
Read MoreNeural Network-based Efficient Measurement Method on Upside Down Orientation of a Digital Document
As many digital documents are required in various environments, paper documents are digitized by scanner, fax, digital camera and specific software. In the case of a scanned document, we need to check whether the document is right sided or upside down because the orientation of the scanned document is determined by the orientation in which…
Read MoreCommercialization Process of Disruptive Innovations in Corporate Ventures and Spinoff Companies: A Comparison
One of the most critical challenges that large companies, small enterprises and research institutes face, when commercializing their innovations, is the transfer process at the moment of scaling up. These organizations often transfer their innovation to either existing business units or create a new business entirely. The process of transferring innovations to an existing unit…
Read MoreOptimal Flow Analysis of a Unified Energy System with Effects of P2G
The reformation of energy hubs has significantly augmented the apprehensions about the levels of dependency between different energy sources which often can also be discussed as independent systems conventionally. This research brings focus on the formulation and analysis of an integrated system with bi-directional energy conversions and its effects on the stability of the system…
Read MoreOptimization of Low Temperature Differential Stirling Engine Regenerator Design
Stirling engines working with relatively low temperature are attractive for the future, especially for applications like water pumping without concentration system and low temperature heat recovery. The present work is the continuation of a series of works on the optimization of this type of machines. The main objective of this paper is to investigate the…
Read MoreThe Effectiveness of Personality-Based Gamification Model for Foreign Vocabulary Online Learning
Currently, there is a growing interest for applying gamification in e-learning due to innovations in technologies and pedagogies. However, motivation and engagement related problems can arise when the gamification elements are not personalized to match the individual’s needs. Therefore, this research proposes a Hybrid Learning Model that combines both Gamification and Personality Traits to increase…
Read MoreA Study on the Effects of Combining Different Features for the Recognition of Handwritten Bangla Characters
This paper studies and compares the effectiveness of four different features and their combinations on the recognition accuracy of handwritten Bangla characters. The longest run, chain code histogram, shadow, and Gabor filter-based features and their eleven (11) combinations were tested on a standard Bangla database of 15; 000 basic handwritten characters to compare their recognition…
Read MoreDesign of Efficient Convolutional Neural Module Based on An Improved Module
In order to further improve the feature extraction performance of the convolutional neural networks, we focus on the selection and reorganization of key features and suspect that simple changes in the pooling layers can cause changes in the performance of neural networks. According to the conjecture, we design a funnel convolution module, which can filter…
Read MoreEffects of Split Ring Resonator (SRR) Metamaterial on the Radiation Pattern and Variation of the Heating Focus Point of the Microstrip Patch Antenna
Metamaterial antennas are some sort of antennas which utilize metamaterials to improve the efficiency of small (small electrical) antenna systems and also enhance the antenna’s radiation pattern. The unusual properties of metamaterials such as coefficients of permittivity and permeability, as well as the negative refractive index, have led to increase the use of these artificial…
Read MoreInto the Online Space: Outcomes for a PASS Online Pilot Across Different First Year University Subjects
Peer Assisted Study Sessions (PASS) is a student let program designed to support students transitioning into university and tackling traditionally difficult first year core subjects. The model is collaborative with student leaders facilitating activities and discussions driven by student need. Consistently research has found that students can benefit, in terms of increased grades, from attending…
Read MoreModelling the Methodology to Assess the Effectiveness of Distributed Information Systems
This research aims to develop the methodology to assess effectiveness of distributed information systems (hereinafter IS). The effectiveness of information systems is reviewed along with their reliability. The article underlines the importance of reliability assessment for large geographically distributed systems. We suggest the approach based on the hierarchical presentation of reliability scheme that constitutes the…
Read MoreMulti Biometric Thermal Face Recognition Using FWT and LDA Feature Extraction Methods with RBM DBN and FFNN Classifier Algorithms
Person recognition using thermal imaging, multi-biometric traits, with groups of feature filters and classifiers, is the subject of this paper. These were used to tackle the problems of biometric systems, such as a change in illumination and spoof attacks. Using a combination of, hard and soft-biometric, attributes in thermal facial images. The hard-biometric trait, of…
Read MoreEKMC: Ensemble of kNN using MetaCost for Efficient Anomaly Detection
Anomaly detection aims at identification of suspicious items, observations or events by differing from most of the data. Intrusion Detection, Fault Detection, and Fraud Detection are some of the various applications of Anomaly Detection. The Machine learning classifier algorithms used in these applications would greatly affect the overall efficiency. This work is an extension of…
Read MoreForecasting Bio-economic Effects in the Milk Production based on the Potential of Animals for Productivity and Viability
The most important biological factors, mainly determining the economic efficiency of milk production, are the productivity potential and the level of viability of cows. The aim of the work is to predict the bio-economic effects in a heterogeneous population of dairy cows taking into account the decrease in the length of productive life with increase…
Read MoreThe Effect of Fuel Additives on Pyrorated Biodiesel Blends on the Performance of a Diesel Power Generator
The demand for renewable energy sources such as waste pyrolysis plastic oil (WPPO), ethanol biofuel with high oxygen content is increasing globally. This study used blending of conventional diesel oil, waste plastic pyrolysis oil, ethanol and 2-ethyl hexyl nitrate (EHN) as additive. The purpose was to improve combustion, the ignition quality, and performance and emission…
Read MoreLow-Cost and Accurate Computational System for Efficiency Measures over Photovoltaic Arrays
In this paper, we present a new Somewhat Homomorphic Encryption (SHE) scheme using computation over complex numbers. We then use Bootstrapping technique to make the scheme Fully Homomorphic (FH) and supports unbounded number of circuit depth. In addition to its homomorphic properties and security level, a main characteristic of the proposed new scheme is its…
Read MoreStudy and Implementation of Various Image De-Noising Methods for Traffic Sign Board Recognition
The problem of recognizing traffic sign boards in a correct fashion is one of the major challenges since there is an alarming rate of increase in the number of road accidents happening because of incorrect interpretation of traffic sign boards in bad weather conditions. In this paper, a comparative analysis of various noise removal techniques…
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