Analytical techniques: A compilation

A compilation, containing articles on a number of analytical techniques for quality control engineers and laboratory workers, is presented. Data cover techniques for testing electronic, mechanical, and optical systems, nondestructive testing techniques, and gas analysis techniques

Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review

Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant fields have all benefited from recent advancements in mmWave radar sensor technology. A mmWave radar has several advantages that set it apart from other types of sensors. A mmWave radar can operate in bright, dazzling, or no-light conditions. A mmWave radar has better antenna miniaturization than other traditional radars, and it has better range resolution. However, as more data sets have been made available, there has been a significant increase in the potential for incorporating radar data into different machine learning methods for various applications. This review focuses on key performance metrics in mmWave-radar-based sensing, detailed applications, and machine learning techniques used with mmWave radar for a variety of tasks. This article starts out with a discussion of the various working bands of mmWave radars, then moves on to various types of mmWave radars and their key specifications, mmWave radar data interpretation, vast applications in various domains, and, in the end, a discussion of machine learning algorithms applied with radar data for various applications. Our review serves as a practical reference for beginners developing mmWave-radar-based applications by utilizing machine learning techniques.publishedVersio

Index to 1984 NASA Tech Briefs, volume 9, numbers 1-4

Short announcements of new technology derived from the R&D activities of NASA are presented. These briefs emphasize information considered likely to be transferrable across industrial, regional, or disciplinary lines and are issued to encourage commercial application. This index for 1984 Tech B Briefs contains abstracts and four indexes: subject, personal author, originating center, and Tech Brief Number. The following areas are covered: electronic components and circuits, electronic systems, physical sciences, materials, life sciences, mechanics, machinery, fabrication technology, and mathematics and information sciences

IoT and Industry 4.0 technologies in Digital Manufacturing Transformation

The evolution of internet of things, cyber physical system, digital twin and artificial intelligence is stimulating the transformation of the product-centric processes toward smart control digital service-oriented ones. With the implementation of artificial intelligence and machine learning algorithms, IoT has accelerated the movement from connecting devices to the Internet to collecting and analyzing data by using sensors to extract data throughout the lifecycle of the product, in order to create value and knowledge from the huge amount of the collected data, such as the knowledge of the product performance and conditions. The importance of internet of things technology in manufacturing comes from its ability to collect real time data and extract valuable knowledge from these huge amount of data which can be supported through the implementation of smart IoT-based servitization framework which was presented in this research together with a 10-steps approach diagram. Moreover, literature review has been carried out to develop the research and deepen the knowledge in the field of IoT, CPS, DT and Artificial Intelligence, and then interviews with experts have been conducted to validate the contents, since DT is a quite new technology, so there are different points of view about certain concepts of this technology. The main scope and objective of this research is to allow organizational processes and companies to benefit form the value added information that can be achieved through the right implementation of advanced technologies such as IoT, DT, CPS, and artificial intelligence which can provide financial benefits to the manufacturing companies and competitive advantages to make them stand among the other competitors in the market. The effectiveness of such technologies can not only improve the financial benefits of the companies, but the workers\u2019 safety and health through the real time monitoring of the work environment. Here in this research the main aim is to present the right frameworks that can be used in the literature through companies and researchers to allow them to implement these technologies correctly in the boundaries of their businesses. In addition to that, the Smart factory concept, as introduced in the context of Industry 4.0, promotes the development of a new interconnected manufacturing environment where human operators cooperate with machines. While the role of the operator in the smart factory is substantially being rediscussed, the industrial approach towards safety and ergonomics still appears frequently outdated and inadequate. This research approaches such topic referring to the vibration risk, a well-known cause of work-related pathologies, and proposes an original methodology for mapping the risk exposure related to the performed activities. A miniaturized wearable device is employed to collect vibration data, and the obtained signals are segmented and processed in order to extract the significant features. An original machine learning classifier is then employed to recognize the worker\u2019s activity and evaluate the related exposure to vibration risks. Finally, the results obtained from the experimental analysis demonstrate feasibility and the effectiveness of the proposed methodology

Creating a Korean Engineering Academic Vocabulary List (KEAVL): Computational Approach

With a growing number of international students in South Korea, the need for developing materials to study Korean for academic purposes is becoming increasingly pressing. According to statistics, engineering colleges in Korea attract the largest number of international students (Korean National Institute for International Education, 2018). However, despite the availability of technical vocabulary lists for some engineering sub-fields, a list of vocabulary common for the majority of the engineering sub-fields has not yet been built. Therefore, this study was aimed at creating a list of Korean academic vocabulary of engineering for non-native Korean speakers that may help future or first-year engineering students and engineers working in Korea. In order to compile this list, a corpus of Korean textbooks and research articles of 12 major engineering sub-fields, named as the Corpus of Korean Engineering Academic Texts (CKEAT), was compiled. Then, in order to analyze the corpus and compile the preliminary list, I designed a Python-based tool called KWordList. The KWordList lemmatizes all words in the corpus while excluding general Korean vocabulary included in the Korean Learner’s List (Jo, 2003). Then, for the remaining words, KWordList calculates the range, frequency, and dispersion (in this study deviation of proportions or DP (Gries, 2008)) and excludes words that do not pass the study’s criteria (range ≥ 6, frequency ≥ 100, DP ≤ 0.5). The final version of the list, called Korean Engineering Academic Vocabulary List or KEAVL, includes 830 lemmas (318 of intermediate level and 512 of advanced level). For each word, the collocations that occur more than 30 times in the corpus are provided. The comparison of the coverage of the Korean Academic Vocabulary List (Shin, 2004) and KEAVL based on the Corpus of Korean Engineering Academic Texts showed that KEAVL covers more lemmas in the corpus. Moreover, only 313 lemmas from the Korean Academic Vocabulary List (Shin, 2004) passed the criteria of the study. Therefore, KEAVL may be more efficient for engineering students’ vocabulary training than the Korean Academic Vocabulary List and may be used for the engineering Korean teaching materials and curriculum development. Moreover, the KWordList program written for the study can be used by other researchers, teachers, and even students and is open access (https://github.com/HelgaKr/KWordList)

Aeronautical engineering: A continuing bibliography with indexes (supplement 269)

This bibliography lists 539 reports, articles, and other documents introduced into the NASA scientific and technical information system in August, 1991. Subject coverage includes: design, construction and testing of aircraft and aircraft engines; aircraft components, equipment and systems; ground support systems; and theoretical and applied aspects of aerodynamics and general fluid dynamics

NASA Tech Briefs Index 1980

Tech Briefs are short announcements of new technology derived from the research and development activities of the National Aeronautics and Space Administration. These briefs emphasize information considered likely to be transferrable across industrial, regional, or disciplinary lines and are issued to encourage commercial application. This Index to NASA Tech Briefs contains abstracts and four indexes -- subject,. personal author, originating Center, and Tech Brief number -- for 1980 Tech Briefs

NASA Tech Briefs, Spring 1984

Topics include: NASA TU Services: Technology Utilization services that can assist you in learning about and applying NASA technology. New Product Ideas: A summary of selected innovations of value to manufacturers for the development of new products; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Life Sciences; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences

NASA Tech Briefs, October 1993

Topics include: Sensors; esign and Engineering; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication technology; Mathematics and Information Sciences; Life Sciences; Books and Reports