WE complete in this issue the publication of the scries of articles by MR. JAMES E. THOMPSON of VULTEE AIRCRAFT on “Designing for Machinability”; for permission to republish which…
Abstract
WE complete in this issue the publication of the scries of articles by MR. JAMES E. THOMPSON of VULTEE AIRCRAFT on “Designing for Machinability”; for permission to republish which from the pages of AERO DIGEST we are greatly indebted to the Author and Editor, MR. GEORGE F. MCLAUGHLIN. We have never read anything so informative and instructive on this subject, the importance of which for rapid production it is impossible to overestimate, and our admiration for it has increased with each re‐perusal of it necessitated by the repeated re‐readings called for in the various stages of proof correcting prior to final publication. We should like to see MR. THOMPSON'S introductory paragraphs, which appeared on page 289 of our October 1941 issue, posted up in large letters in every detail‐design office and we feel that the best service we can do is to reprint them verbatim here.
Sarah R. Carlson, Vidya D. Munandar, Michael L. Wehmeyer and James R. Thompson
In the years following high school, youth, including youth with extensive support needs, aspire to pursue a range of personally important experiences, such as attending…
Abstract
In the years following high school, youth, including youth with extensive support needs, aspire to pursue a range of personally important experiences, such as attending postsecondary education programs, obtaining competitive employment, and living independently. However, the level of disability continues to be a powerful predictor of the degree to which desired outcomes materialize in early adulthood. For most young adults with extensive support needs, valued outcomes are elusive. To support youth with disabilities, including youth with extensive support needs, to progress toward achieving their post-school goals, the Individuals with Disabilities Education Act of 1990 mandated the provision of transition services. Despite the legal mandate for transition services, numerous factors continue to impact the outcomes experienced by youth with extensive support needs. However, research has identified numerous practices to support improved post-school outcomes. In this chapter, we address the transition mandates of the IDEA, identify and describe factors influencing the post-school outcomes of youth with extensive support needs, and provide strategies, practices, and interventions for improving these outcomes.
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Jeffrey C. Suhling, H.S. Gale, R. Wayne Johnson, M. Nokibul Islam, Tushar Shete, Pradeep Lall, Michael J. Bozack, John L. Evans, Ping Seto, Tarun Gupta and James R. Thompson
The solder joint reliability of ceramic chip resistors assembled to laminate substrates has been a long time concern for systems exposed to harsh environments. In this work, the…
Abstract
The solder joint reliability of ceramic chip resistors assembled to laminate substrates has been a long time concern for systems exposed to harsh environments. In this work, the thermal cycling reliability of several 2512 chip resistor lead‐free solder joint configurations has been investigated. In an initial study, a comparison has been made between the solder joint reliabilities obtained with components fabricated with both tin‐lead and pure tin solder terminations. In the main portion of the reliability testing, two temperature ranges (−40‐125°C and −40‐150°C) and five different solder alloys have been examined. The investigated solders include the normal eutectic Sn‐Ag‐Cu (SAC) alloy recommended by earlier studies (95.5Sn‐3.8Ag‐0.7Cu), and three variations of the lead‐free ternary SAC alloy that include small quaternary additions of bismuth and indium to enhance fatigue resistance.
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P. Sandhya, K. Shreyaas, R. Jayaraj and Ganesh Raja Rajeswari
One of the major challenges faced by the world at present is management and treatment of waste. Especially, waste such as polyethylene (plastics) is non-degradable and is causing…
Abstract
Purpose
One of the major challenges faced by the world at present is management and treatment of waste. Especially, waste such as polyethylene (plastics) is non-degradable and is causing great damage to our environment. Aquatic environment is one among them that is getting affected by these plastic wastes. Water pollution is a great issue faced in many countries and steps to reduce it are being taken on a wide scale. Unwanted aquatic plants grown in ponds and lakes create problems like totally covering up the surface of the lake that blocks the sunlight for aquatic species and also reducing their total storage. Identifying such unwanted plants and plastics is a very essential part in treating and management of waste. Detection and classification help us to achieve this. With the help of satellites, drone-shot images of many oceans are captured, and the amount of plastic content present is detected using artificial intelligence. In artificial intelligence, we have many algorithms and platforms that help us to achieve object detection. Tensorflow is one such framework that helps us to perform object detection with the help of pre-trained models present in it, and thus, it is used in this study. Object detection uses computer vision to detect objects from images. Convolutional neural networks are a subset of machine learning that is helpful in image processing – in other words, processing of pixel data. In this study, we used the ResNet-50 model involving transfer learning for classifying unwanted plants and plastics. Lakes and ponds are the major places among the other aquatic environments where these kinds of wastes are found, and therefore, this study concentrates on waste present in these aquatic bodies. The lakes and ponds present near residential areas act as a place for storing excess rainwater, which prevents flooding. Many cities, especially residential areas, face a lot of water stagnation problems during the rainy season. Ponds and lakes near these areas contain unwanted plants and plastics present, which makes it a problem to store the rainwater that comes during monsoon. Another problem is that they don’t provide sunlight to enter deep into water, making the aquatic species difficult to survive. Preserving and maintaining such lakes from getting filled with non-degradable plastics and unwanted plant growth becomes very important. Therefore, the lakes and ponds present in such residential areas would be useful to detect the unwanted waste.
Design/methodology/approach
In this study, the focus is on detection and classification of the plastics and unwanted plants. The dataset is very important for this study, which is an image dataset. There was not any readily available image data of unwanted plastics available online, and therefore, the images were captured from the lakes and ponds in Kanchipuram district. Images of duckweed, plastics, bulrush and leaves of sky lotus were taken. This dataset consisted a total of 200 images, with 50 images belonging to each category. Having this as the dataset, detection and classification were carried out.
Findings
The object detection took place for the plastic, duckweed, bulrush and leaves of sky lotus and the performance metrics such as precision and recall was evaluated to test the accuracy of the detections. Precision is used to calculate the number of correctly identified positive identifications. This is done by dividing the sum of true positives and false positives from the number of true positives. True positives are nothing but the number of correct predictions of positive identifications, and false positives are the number of false predictions of positive identifications. Similarly, recall is used to calculate the number of actual positives identified. We can calculate recall by dividing the sum of true positives and false negatives from the total number of true positives. Here false negatives are the number of false predictions of false identification. This performance metrics was evaluated for the trained model, and we obtained an average precision of 0.81 and an average recall of 0.86. The high precision and recall values of our model show that the model produces accurate results. Therefore, the model is producing good performance in detecting the unwanted plants and plastics from lakes and ponds. The evaluation results were visualized with the help of TensorBoard and are available in fig-4 and fig-5. The loss rate is visualized and is available in fig-6. We can see that the loss rate has reduced over the steps as we pass from 1,000 to 4000th step.
Originality/value
The work was originally carried out in the Kanchipuram district of Tamil Nadu.
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Carl E. Enomoto and Soumendra N. Ghosh
This paper presents rankings of economics journals taken from a recent survey of economics department heads. Different rankings were derived for those with different research…
Abstract
This paper presents rankings of economics journals taken from a recent survey of economics department heads. Different rankings were derived for those with different research areas and those associated with different types of academic institutions. It was found that rankings were quite similar for all respondents.
A lesbian, gay, bisexual, transgender, and queer+ (LGBTQ+) community’s hunger for its history became an arena for creative, unorthodox work involving a library and information…
Abstract
A lesbian, gay, bisexual, transgender, and queer+ (LGBTQ+) community’s hunger for its history became an arena for creative, unorthodox work involving a library and information science (LIS) educator, librarians and other educators, and even a university library. The result was fundamentally collaborative, involving community and educational organizations; all inspired by social responsibility and community engagement goals, some of which can be found in a university mission statement. The story of these individuals and organizations begins with a drive toward a greater awareness of LGBTQ+ history, a goal that led to creating inclusive high school history curricula. Along the way, these efforts generated information resources such as a community-generated database, a temporary history exhibit, a conference, and a workshop geared to gay straight alliance (GSA) organizations in high schools. GSAs and their statewide supporting organization, the Illinois Safe School Alliance, were also the part of this work. While the larger goal of this work was to help diverse constituencies understand the importance of their history by developing, curating, and utilizing information resources that fulfill overlooked community information needs, this chapter comes to focus on a piece of that work, the development of Illinois’s first LGBTQ+ history elective. Consequently, this chapter can show how librarians and libraries can actualize social justice aims and thereby expand traditional library practices through sustained efforts that may lead to smaller specific goals, some of which may develop in unforeseen ways. The key is to expand the existing aims of libraries into sustained community engagement while remaining open to the opportunities that arise along the way.