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Keyword: FFCharacterization and Investigating the Effect of Gate-Insulator Thickness on Co-Axial Cylindrical Carbon Nanotube Field Effect Transistor
Carbon nanotube field effect transistor (CNTFET) has a huge advantage over the Si- MOSFET. In MOSFET switching occurs by altering channel resistivity whereas in CNTFET switching occurs by modulation contact resistance. CNTFET generates three to four times of drive current than MOSFET. Transconductance of CNTFET is four times higher than the MOSFET. The average carrier…
Read MoreExtended Buffer-referred Prefetching to Leverage Prefetch Coverage
This paper is an extension of the work originally presented in the 26th International Con- ference on Automation and Computing. This study regarding hardware prefetching aims at concealing cache misses, leading to maximizing the performance of modern processors. This paper leverages prefetch coverage improvement as a way to achieve the goal. Original work proposes two…
Read MoreModel Order Reduction and Distribution for Efficient State Estimation in Sensor and Actuator Networks
We present in this contribution the distribution of a global multi-input-multi-output system in a sensor and actuator network. Based on controllability and observability, the global system is decentralized and the system properties are preserved as a result. This results in multiple decentralized local single-input-single-output systems with the same system order as the global system. As…
Read MoreEffect of Knee Orthosis on Lateral Thrust in Patients with Knee Osteoarthritis
To examine the effects of wearing a flexible knee orthosis (FKO) on the lateral thrust in patients with knee osteoarthritis (OA) by changing the wearing pressure. This study was a cross-sectional study. Thirteen patients (mean age: 82.8 ± 7.5years with Kellgren Lawrence Stages I and II knee OA were included and prescribed FKO. Patient with…
Read MoreDesign of an Off-Grid Hybrid Energy System for Electrification of a Remote Region: a Case Study of Upper Blink Water Community, South Africa
Electrifying or connecting remote and isolated communities to the national grid is very difficult and expensive. This challenge is due to the geographic locations of these isolated communities and terrain that needs navigation when installing transmission lines to transmit power to the communities. This article presents a case study of the design of a hybrid…
Read MoreAnalysis of Different Supervised Machine Learning Methods for Accelerometer-Based Alcohol Consumption Detection from Physical Activity
This paper builds on the realization that since mobile devices have become a common tool for researchers to collect, process, and analyze large quantities of data, we are now entering a generation where the creation of solutions to difficult real-world problems will mostly come in the form of mobile device apps. One such relevant real-life…
Read MoreA Machine Learning Model Selection Considering Tradeoffs between Accuracy and Interpretability
Applying black-box ML models in high-stakes fields like criminology, healthcare and real-time operating systems might create issues because of poor interpretability and complexity. Also, model building methods that include interpretability is now one of the growing research topics due to the absence of interpretability metrics that are both model-agnostic and quantitative. This paper introduces model…
Read MoreMaintainability Improving Effects such as Insulation Deterioration Diagnosis in Solitary Wave Track Circuit
This paper is an extended version of the journal presented at ICECCME2021. In ICECCME2021, the authors presented that we have developed a solitary wave track circuit (SW-TC), and it is energy-saving compared to existing track circuits. Furthermore, we also explained that it can realize advanced train control at a low cost, equivalent to digital automatic…
Read MoreDeep Learning Affective Computing to Elicit Sentiment Towards Information Security Policies
Information security behaviour is an integral part of modern business and has become a central theme in many research studies. One of the essential tools available that can be used to influence information security behaviour is information security policies (ISPs). These types of policies, which is mandatory in most organisations, are formalised rules and regulations…
Read MoreAntenna System Design To Increase Power Transfer Efficiency with NFC Wireless Charging Technology
The NFC wireless charging feature is an extension of the NFC technology that can be implanted on wearables. The purpose of this paper is to show how to increase power transfer efficiency on both transmitter and receiver antenna systems. To demonstrate this problematic, firstly this paper gives an overview of how this NFC feature is…
Read MoreEffectiveness of Gamified Instructional Media to Improve Critical and Creative Thinking Skills in Science Class
Gamified Instructional Media has recently been widely used in the education sector to improve students’ abilities. Using Gamified Instructional Media at the elementary school level becomes more interesting because it is in accordance with the way children learn K1-K6. The research aims to identify the gamified instructional using Genially to improve students’ critical and creative…
Read MoreCloud-Based Hierarchical Consortium Blockchain Networks for Timely Publication and Efficient Retrieval of Electronic Health Records
Blockchain technology is seeing a trend of popularity and adoption in many different application areas. One such area is healthcare, as there is a need to develop a system that can reliably store and share electronic health records (EHRs) among hospital-based health facilities. In this paper, we present a cloud-based hierarchical consortium blockchain framework for…
Read MoreEfficient Publicly Verifiable Proofs of Data Replication and Retrievability Applicable for Cloud Storage
Using Proofs of Retrievability (PORs), a file owner is able to check that a cloud server correctly stores her files. Using Proofs of Retrievability and Reliability (PORRs), she can even verify at the same time that the cloud server correctly stores both her original files and their replicas. In 2020, a new PORR combined with…
Read MoreOpinion and Effectiveness of Kahoot! use in Online Distance Learning in Crop Production at Higher Education Level: A Case of Study
Kahoot is one of the most popular learning platforms, with over 2.5 billion players per year worldwide, used mainly for knowledge review through gamification. However, students´ opinion and its effectiveness in online distance learning as well as in another language teaching has been little studied. With these aims, this study was carried out in the…
Read MoreThe Effect of Obstacle Design Architectures on Randomly Ranging AGVs in a Shared Workspace
As mobile robots or Automated Guided Vehicles age, and their navigation components wear down, downtime may increase, and therefore robots may lose their path planning capabilities. In such blind-navigation scenarios, we assume robot(s) is programmed to undergo a default random-walk locomotion in a two-dimensional confined workspace with spatially populated obstacles. The robot(s) has only one…
Read MoreLeveraging Energy Efficiency Investments: An Innovative Web-based Benchmarking Tool
Energy Efficiency (EE) plays a key role in decreasing energy consumption at a European level, while it is considered as one of the most cost-efficient means to achieve carbon reduction and reinforce energy sufficiency and security. EE financing is imperative to implement measures that will lead to achieving the desired carbon neutrality and, thus, avert…
Read MoreDesign Optimization and Life Cycle Cost Assessment of GRC Shading Screens for Office Buildings in Cairo
Office buildings commonly use fully glazed façades to reflect a luxurious appearance and to maximize natural light of high solar exposure and high-energy consumption due to cooling and heating. There is a great abundance in constructing shading screens as they are part of the modern movement in field of Energy Conservation, renewable energies, and architectural…
Read MoreThe Effect of Myocardial Fat’s Thickness and Myocardial Impedance on Bipolar Radiofrequency Catheter Ablation Using Computer Simulation
Radiofrequency catheter ablation is routinely used for the therapy of cardiac arrhythmias. Compared with the traditional unipolar ablation, bipolar ablation may improve the controllability of treatment, and prevent side effects and complications caused by catheter ablation. In addition, the variations of myocardial fat’s thickness and myocardial impedance may have significant influence on the performance of…
Read MoreAnalysis of Grid Events Influenced by Different Levels of Renewable Integration on Extra-large Power Systems
In this work, the impact of implementing a large amount of decentralized renewable energy sources (RES) of different scales on an extra-large power grid is investigated. Three scenarios are created, substituting 10%, 20%, and 30% of the conventional energy production by RES. For this purpose, the initial dynamic model of Continental Europe in combination with…
Read MoreAn Efficient Combinatorial Input Output-Based Using Adaptive Firefly Algorithm with Elitism Relations Testing
Combinatorial software testing is regarded as a crucial part when it comes to the software development life cycle. However, it would be impractical to exhaustive test highly configurable software due to limited time as well as resources. Moreover, a combinatorial testing strategy would be to employ input-output-based relations (IORs) due to its benefits versus other…
Read MoreThe Gamification Design for Affordances Pedagogy
This study aims to design a gamification affordances pedagogy. Affordances are the ways in which we perceive environments to support the needs of learners in the educational system. The main questions are how gamification elements can influence student engagement to improve their affordances. Affordance behavior is a human behavior that refers to a mindset; an…
Read MoreEfficiency Comparison in Prediction of Normalization with Data Mining Classification
In research project, efficiency comparison study in prediction of normalization with data mining classification. The purpose of the research was to compare three normalization methods in term of classification accuracy that the normalized data provided: Z-Score, Decimal Scaling and Statistical Column. The six known classifications: K-Nearest Neighbor, Decision Tree, Artificial Neural Network, Support Vector Machine,…
Read MoreBusiness Intelligence Budget Implementation in Ministry of Finance (As Chief Operating Officer)
The Ministry of Finance is the state ministry in charge of state financial affairs which has two functions, namely the Chief Financial Officer (CFO) as the State General Treasurer and the Chief Operating Officer (COO) as a Budget User. As COO, the Ministry of Finance is expected to be able to provide information related to…
Read MoreNew Neural Networks for the Affinity Functions of Binary Images with Binary and Bipolar Components Determining
The Hamming neural network is an effective tool for solving problems of recognition and classification of objects, the components of which are encoded using a binary bipolar alphabet, and as a measure of the objects’ proximity the difference between the number of identical bipolar components which compared include objects and the Hamming distance between them…
Read MoreFactors Affecting the Decision of Selecting Banking to Save Money of Individual Customers – Experimental in Da Nang City
The purpose of this study is to evaluate the factors affecting the decisions of factors affecting the decision of individual customers to choose a savings bank at commercial banks in Da Nang city. . Through the use of appropriate research methods, the authors have found that there are 5 factors with 5 groups of factors…
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