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Keyword: FFA Reliable, Non-Invasive Approach to Data Center Monitoring and Management
Recent standards, legislation, and best practices point to data center infrastructure management systems to control and monitor data center performance. This work presents an innovative approach to address some of the challenges that currently hinder data center management. It explains how monitoring and management systems should be envisioned and implemented. Key parameters associated with data…
Read MoreModeling and Control of Collaborative Robot System using Haptic Feedback
When two robot systems can share understanding using any agreed knowledge, within the constraints of the system’s communication protocol, the approach may lead to a common improvement. This has persuaded numerous new research inquiries in human-robot collaboration. We have built up a framework prepared to do independent following and performing table-best protest object manipulation with…
Read MoreOn the Performance of a Clustering-based Task Scheduling in a Heterogeneous System
Recent task scheduling algorithms for a generalized workflow job in heterogeneous system adopt list-based scheduling. In those algorithms, the response time cannot be effectively reduced if the given workflow job is data-intensive. If the workflow job is computationally intensive, an attempt is made to assign tasks to many processors, which can lead to resource starvation.…
Read More2-D and 3-D Visualization of Many-to-Many Relationships
With the unprecedented wave of Big Data, the importance of information visualization is catching greater momentum. Understanding the underlying relationships between constituent objects is becoming a common task in every branch of science, and visualization of such relationships is a critical part of data analysis. While the techniques for the visualization of binary relationships are…
Read MoreClean Energy Use for Cloud Computing Federation Workloads
Cloud providers seek to maximize their market share. Traditionally, they deploy datacenters with sufficient capacity to accommodate their entire computing demand while maintaining geographical affinity to its customers. Achieving these goals by a single cloud provider is increasingly unrealistic from a cost of ownership perspective. Moreover, the carbon emissions from underutilized datacenters place an increasing…
Read MoreEstimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Interconnection of the power system utilities and grids offers a formidable dispute in front of design engineers. With the interconnections, power system has emerged as a more intricate and nonlinear system. Recent years small signal stability problems have achieved much significance along with the conventional transient constancy problems. Transient stability of the power system can…
Read MorePixel-Based Unsupervised Classification Approach for Information Detection on Optical Markup Recognition Sheet
This paper proposed an Optical Markup Recognition (OMR) system to be used to detect shaded options of students after MCQ-type examinations. The designed system employed the pixel-based unsupervised classification approach with image pre-processing strategies and compared its efficiencies, in terms of speed and accuracy, with object-based supervised or unsupervised classification OMR systems. Speed and accuracy…
Read MoreA Machine Learning based Framework for Parameter based Multi-Objective Optimisation of Video CODECs
All multimedia devices now incorporate video CODECs that comply with international video coding standards such as H.264 / MPEG4-AVC and the new High Efficiency Video Coding Standard (HEVC), otherwise known as H.265. Although the standard CODECs have been designed to include algorithms with optimal efficiency, a large number of coding parameters can be used to…
Read MoreSystem for the Automatic Estimation of the Tilt Angle of a Flat Solar Collector
In this work, a compact system for the automatic estimation of the tilt angle at any location of the world is presented. The system components are one computer, one GPS receiver and one Python program. The tilt angle is calculated through the maximization of the flux of direct radiation incident upon a flat solar collector.…
Read MoreAnalytical and Algorithmic Approaches to Determine the Number of Sensor Nodes for Minimum Power Consumption in LWSNs
A Linear Wireless Sensor Network (LWSN) is a kind of wireless sensor network where the nodes are deployed in a line. Since the sensor nodes are energy restricted, energy efficiency becomes one of the most significant design issues for LWSNs as well as wireless sensor networks. With the proper deployment, the power consumption could be…
Read MoreA comparative study for using the LBC format for compressing static medical images
This paper is an extension of work originally presented at conference Applied Machine Intelligence and Informatics (SAMI), 2017 IEEE 13th International Symposium. The article performs a comparative study between the image compression technique Local Binary Compressed format (LBC) proposed by the authors and the standard image compression techniques used today (BMP, JPEG, PNG and GIF).…
Read MoreA Modified Patch Antenna with Square-Open Loop Resonator Slot for Improved Bandwidth Performance in WiFi Applications
A novel, modified square patch antenna with square open loop resonator slot, operating at 5.5 GHz, for improved bandwidth performance is proposed in this article. A complementary square open loop resonator is introduced on the patch to enhance the bandwidth more than twice that of the conventional square patch antenna operating at the same frequency.…
Read MoreEmbedded C Programming Using FRDM to Enhance Engineering Students’ Learning Skill
Computer programming course that utilizes languages such as C/C++ is always packed with dreary syntax details that consume most of the students’ learning time to obtain ‘grammatically’ correct source code. Consequently, it is difficult for most of the students to apply the theory they have learned in a real life context. Thus, this project proposed…
Read MoreScalability Dilemma and Statistic Multiplexed Computing — A Theory and Experiment
The For the last three decades, end-to-end computing paradigms, such as MPI (Message Passing Interface), RPC (Remote Procedure Call) and RMI (Remote Method Invocation), have been the de facto paradigms for distributed and parallel programming. Despite of the successes, applications built using these paradigms suffer due to the proportionality factor of crash in the application…
Read MoreMonocular Height Estimation Method with 3 Degree-Of-Freedom Compensation of Road Unevennesses
Height estimation of objects is a valuable information for locomotion of autonomous robots and vehicles. Even though several sensors such as stereo cameras have been applied in these systems, cost and processing time have been motivating solutions with monocular cameras. This research proposes two new methods: i) height estimation of objects using only a monocular…
Read MoreTwo-axis Gimbal with Passive Revolute Joints for Motion Isolation of a Stabilizing Mechanism
Energy efficiency is a salient design consideration for stabilization mechanisms when assembled on a battery-powered vehicle. In this paper we study the implementation of a two-axis gimbal with passive revolute joints for motion isolation of an inertially stabilized platform (ISP) mounted on a host vehicle. The objective is for the ISP to maintain a steady…
Read MoreA Way for Measuring the Temperature Transients of Capacitors
With the increasing integration level of electronic circuits management of the generated heat became one of the most important design aspects. Beside the semiconductor components capacitors are also affected by the elevated temperature. In this paper a new thermal characterization method is proposed adopting the thermal transient measurement technique for capacitors utilizing the capacitance itself…
Read MoreA Meta-analysis of Content and Language Integrated Learning in English
The purpose of this study is to investigate the effects of integrated content and English education. To fulfill this, 30 studies conducted in elementary school setting matching the meta-analysis criteria, such as being quantitative, experimental, or having affective statistical results after searching for the key words of “content-based”, “theme-based” and “integrated learning” on the accessible…
Read MoreCompact wireless control network protocol with fast path switching
Sensor network protocol stacks require the addition or adjustment of functions based on customer requirements. Sensor network protocols that require low delay and low packet error rate (PER), such as wireless control networks, often adopt time division multiple access (TDMA). However, it is difficult to add or adjust functions in protocol stacks that use TDMA…
Read MoreA Category Based Threat Evaluation Model Using Platform Kinematics Data
Command and control (C2) systems direct operators to make accurate decisions in the stressful atmosphere of the battlefield at the earliest. There are powerful tools that fuse various instant piece of information and brings summary of those in front of operators. Threat evaluation is one of the important fusion method that provides these assistance to…
Read MoreMulti-attribute Reverse Auction Design Based on Fuzzy Data Envelopment Analysis Approach
Multi-attribute reverse auction is widely used for the procurements of enterprises or governments. To overcome the difficulty of identifying bidding attribute weight and score function of the buyer, the multi-round auction and bidding models with multiple winners are established based on fuzzy data envelopment analysis. The winner determination model of the buyer considers the integrated…
Read MorePublic transportation network design: a geospatial data-driven method
The paper explores an issue of efficient public transportation network design as a part of the urban developing process. Having data about everyday residents travelling inside of an urban area, we can consider this data as people’s requirements for the public transport system. We propose a novel method for initial public transportation network design based…
Read MoreClassification of patient by analyzing EEG signal using DWT and least square support vector machine
Epilepsy is a neurological disorder which is most widespread in human beings after stroke. Approximately 70% of epilepsy cases can be cured if diagnosed and medicated properly. Electro-encephalogram (EEG) signals are recording of brain electrical activity that provides insight information and understanding of the mechanisms inside the brain. Since epileptic seizures occur erratically, it is…
Read MoreTowards Deployment Strategies for Deception Systems
Network security is often built on perimeter defense. Sophisticated attacks are able to penetrate the perimeter and access valuable resources in the network. A more complete defense strategy also contains mechanisms to detect and mitigate perimeter breaches. Deceptive systems are a promising technology to detect, deceive and counter infiltration. In this work we provide an…
Read MoreOn-Chip Testing Schemes of Through-Silicon-Vias (TSVs) in 3D Stacked ICs
This paper presents on-chip testing structures to characterize and detect faulty Through Silicon Vias (TSVs) in 3D ICs technology. 3D Gunning Transceiver Logic (GTL) I/O testing is proposed to characterize the performance of 3D TSVs in high speed applications. The GTL testing circuit will fire different data patterns at different frequencies to characterize the transient…
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