IEEE Instrumentation & Measurement Magazine 

About: IEEE Instrumentation & Measurement Magazine is an academic journal published by Institute of Electrical and Electronics Engineers. The journal publishes majorly in the area(s): Computer science & Instrumentation (computer programming). It has an ISSN identifier of 1094-6969. Over the lifetime, 1165 publications have been published receiving 15778 citations. The journal is also known as: Instrumentation & measurement & I & M magazine.

5G cellular: key enabling technologies and research challenges

Abstract: The evolving fifth generation (5G) cellular wireless networks are envisioned to provide higher data rates, enhance end-user quality-of-experience (QoE), reduce end-to-end latency, and lower energy consumption This article presents several emerging technologies which could enable and define future 5G mobile communication standards and cellular networks We highlight the key ideas for each technology and the major open research challenges related to measurement, testing and validating the performance of 5G system components Then, we highlight the fundamental research challenges for resource management in 5G systems

Microwave and millimeter wave nondestructive testing and evaluation - Overview and recent advances

Abstract: This article focuses on three recent applications of microwave and millimeter wave NDTE 2) corrosion and precursor pitting detection in painted aluminum and steel substrates; and 3) detection of flaws in spray-on foam insulation and the acreage heat tiles of the Space Shuttle through focused and synthetic imaging techniques. These applications have been performed at the Applied Microwave Nondestructive Testing Laboratory (amntl) at the University of Missouri-Rolla.

Prognostics in Battery Health Management

Abstract: In this article, we examine prognostics and health management (PHM) issues using battery health management of Gen 2 cells, an 18650-size lithium-ion cell, as a test case. We will show where advanced regression, classification, and state estimation algorithms have an important role in the solution of the problem and in the data collection scheme for battery health management that we used for this case study.

Camera as the instrument: the rising trend of vision based measurement

Abstract: Due to continuing and rapid advances of both hardware and software technologies in camera and computing systems, we continue to have access to cheaper, faster, higher quality, and smaller cameras and computing units. As a result, vision based methods consisting of image processing and computational intelligence can be implemented more easily and affordably than ever using a camera and its associated operations units. Among their various applications, such systems are also being used more and more by researchers and practitioners as generic instruments to measure and monitor physical phenomena. In this article, we take a look at this rising trend and how cameras and vision are being used for instrumentation and measurement, and we also cast a glance at the metrological gauntlet thrown down by vision-based instruments.

Measurement uncertainty

Abstract: The following fundamental concepts of measurement science have been briefly reported in this tutorial article: 1) The result of a measurement provides only incomplete knowledge of the measurand, whose true value remains unknown and unknowable; 2) The uncertainty concept plays a key role in quantifying the incompleteness of the knowledge provided by the measurement result; and 3) A measurement result can be usefully employed only if the associated uncertainty is estimated and if it can be traced back to the appertaining standard; otherwise, it is a meaningless value. This tutorial has given a short review of the present practice for expressing and estimating uncertainty in measurement, based on the definitions and prescriptions given by the GUM.