Literatura científica selecionada sobre o tema "Indiana Machine Works Co"

IntroductionIndian Literature with its multiplicity of languages and the plurality of cultures dates back to 3000 years ago, comprising Vedas, Upanishads, Puranas and Epics like Ramayana and Mahabharata. India has a strong literary tradition in various Indian regional languages like Sanskrit, Prakrit, Pali, Hindi, Marathi, Bengali, Oriya, Tamil, Kannada, Telugu, Malayalam and so on. Indian writers share oral tradition, indigenous experiences and reflect on the history, culture and society in regional languages as well as in English. The first Indian novel in English is Bankim Chandra Chatterjee’s Rajmohan’s Wife (1864). Indian Writing in English can be viewed in three phases - Imitative, First and Second poets’ phases. The 20th century marks the matrix of indigenous novels. The novels such as Mulk Raj Anand’s Untouchable (1935), Anita Nair’s Ladies Coupé (2001), and Khuswant Singh’s Memories of Madness: Stories of 1947 (2002) depict social issues, vices and crises (discrimination, injustice, violence against women) in India. Indian writers, and their contribution to world literature, are popular in India and abroad.Researchers are keen on analysing the works of Indian writers from historical, cultural, social perspectives and on literary theories (Post-Colonialism, Postmodernity, Cultural Studies). The enormity of the cultural diversity in India is reflected in Indian novels, plays, dramas, short stories and poems. This collection of articles attempts to capture the diversity of the Indian land/culture/landscape. It focuses on the history of India, partition, women’s voices, culture and society, and science and technology in Indian narratives, documentaries and movies.Special Issue: An Overview“Whatever has happened, has happened for goodWhatever is happening, is also for goodWhatever will happen, shall also be good.”- The Bhagavad-Gita.In the Mahabharata’s Kurukshetra battlefield, Lord Krishna counsels Arjuna on how everything that happens, regardless of whether it is good or bad, happens for a reason.Indian Literature: Past, Present and Future portrays the glorious/not-so-glorious times in history, the ever-changing crisis/peace of contemporary and hope for an unpredictable future through India’s literary and visual narratives. It focuses on comparison across cultures, technological advancements and diverse perspectives or approaches through the work of art produced in/on India. It projects India’s flora, fauna, historical monuments and rich cultural heritage. It illustrates how certain beliefs and practices come into existence – origin, evolution and present structure from a historical perspective. Indian Literature: Past, Present and Future gives a moment to recall, rectify and raise to make a promising future. This collection attempts to interpret various literary and visual narratives which are relevant at present.The Epics Reinterpreted: Highlighting Feminist Issues While Sustaining Deep Motif, examines the Women characters in the Epics – Ramayana and Mahabharata. It links the present setting to the violence against women described in the Epics Carl Jung’s archetypes are highlighted in a few chosen characters (Sita, Amba, Draupati). On one note, it emphasises the need for women to rise and fight for their rights.Fictive Testimony and Genre Tension: A Study of ‘Functionality’ of Genre in Manto’s Toba Tek Singh, analyses the story as a testimony and Manto as a witness. It discusses the ‘Testimony and Fictive Testimony’ in Literature. It explains how the works are segregated into a particular genre. The authors conclude that the testimony is to be used to understand or identify with the terror.Tangible Heritage and Intangible Memory: (Coping) Precarity in the select Partition writings by Muslim Women, explores the predicament of women during the Partition of India through Mumtaz Shah Nawaz’s The Heart Divided (1990) and Attia Hosain’s Sunlight on a Broken Column (2009). It addresses ‘Feminist Geography’ to escape precarity. It depicts a woman who is cut off from her own ethnic or religious group and tries to conjure up her memories as a means of coping with loneliness and insecurity.Nation Building Media Narratives and its Anti-Ecological Roots: An Eco-Aesthetic Analysis of Khushwant Singh’s Train to Pakistan, analyses the post-Partition trauma in the fictional village, Mano Majra. It illustrates the cultural and spiritual bond between Mano Majrans — the inhabitants of Mano Majra — and nature (the land and river). It demonstrates how the media constructs broad myths about culture, religion, and nation. According to the authors, Mano Majrans place a high value on the environment, whilst the other boundaries are more concerned with nationalism and religion.Pain and Hopelessness among Indian Farmers: An Analysis of Deepa Bhatia’s Nero’s Guests documents the farmers’ suicides in India as a result of debt and decreased crop yield. The travels of Sainath and his encounters with the relatives of missing farmers have been chronicled in the documentary Nero’s Guests. It uses the Three Step Theory developed by David Klonsky and Alexis May and discusses suicide as a significant social issue. The authors conclude that farmers are the foundation of the Indian economy and that without them, India’s economy would collapse. It is therefore everyone’s responsibility—the people and the government—to give farmers hope so that they can overcome suicidal thoughts.The link between animals and children in various cultures is discussed in The New Sociology of Childhood: Animal Representations in Leslie Marmon Silko’s Garden in the Dunes, Amazon’s Oh My Dog, and Netflix’s Mughizh: A Cross-Cultural Analysis. It examines the chosen works from the perspectives of cross-cultural psychology and the New Sociology of Childhood. It emphasises kids as self-sufficient, engaged, and future members of society. It emphasises universal traits that apply to all people, regardless of culture. It acknowledges anthropomorphized cartoons create a bond between kids and animals.Life in Hiding: Censorship Challenges faced by Salman Rushdie and Perumal Murugan, explores the issues sparked by their writings. It draws attention to the aggression and concerns that were forced on them by the particular sect of society. It explains the writers’ experiences with the fatwa, court case, exile, and trauma.Female Body as the ‘Other’: Rituals and Biotechnical Approach using Perumal Murugan’s One Part Woman and Matrubhoomi: A Nation Without Women, questions the society that limits female bodies for procreation and objectification. It talks about how men and women are regarded differently, as well as the cultural ideals that apply to women. It explains infertility, which is attributed to women, as well as people’s ignorance and refusal to seek medical help in favour of adhering to traditional customs and engaging in numerous rituals for procreation.Life and (non) Living: Technological and Human Conglomeration in Android Kunjappan Version 5.25, explores how cyborgs and people will inevitably interact in the Malayalam film Android Kunjappan Version 5.25. It demonstrates the advantages, adaptability, and drawbacks of cyborgs in daily life. It emphasises how the cyborg absorbs cultural and religious notions. The authors argue that cyborgs are an inevitable development in the world and that until the flaws are fixed, humans must approach cyborgs with caution. The Challenges of Using Machine Translation While Translating Polysemous Words, discusses the difficulty of using machine translation to translate polysemous words from French to English (Google Translate). It serves as an example of how the machine chooses the formal or often-used meaning rather than the pragmatic meaning and applies it in every situation. It demonstrates how Machine Translation is unable to understand the pragmatic meaning of Polysemous terms because it is ignorant of the cultures of the source and target languages. It implies that Machine Translation will become extremely beneficial and user-friendly if the flaws are fixed.This collection of articles progresses through the literary and visual narratives of India that range from historical events to contemporary situations. It aims to record the stories that are silenced and untold through writing, film, and other forms of art. India’s artistic output was influenced by factors such as independence, partition, the Kashmir crisis, the Northeast Insurgency, marginalisation, religious disputes, environmental awareness, technical breakthroughs, Bollywood, and the Indian film industry. India now reflects a multitude of cultures and customs as a result of these occurrences. As we examine the Indian narratives produced to date, we can draw the conclusion that India has a vast array of tales to share with the rest of the world.Guest Editorial BoardGuest Editor-in-ChiefDr. Bhuvaneswari R, Associate Professor, School of Social Sciences and Languages, Vellore Institute of Technology, Chennai. She has pursued her master’s at the University of Madras, Chennai and doctoral research at HNB Central University, Srinagar. Her research areas of interest are ELT, Children/Young Adult Literature, Canadian writings, Indian literature, and Contemporary Fiction. She is passionate about environmental humanities. She has authored and co-authored articles in National and International Journals.Guest EditorsCynthiya Rose J S, Assistant Professor (Jr.), School of Social Sciences and Languages, Vellore Institute of Technology, Chennai. Her research interests are Children’s Literature, Indian Literature and Graphic Novels.Maria Baptist S, Assistant Professor (Jr.), School of Social Sciences and Languages, Vellore Institute of Technology, Chennai. His research interests include Crime/Detective fiction and Indian Literature.MembersDr. Sufina K, School of Science and Humanities, Sathyabama Institute of Science and Technology, Chennai, IndiaDr. Narendiran S, Department of Science and Humanities, St. Joseph’s Institute of Technology, Chennai, India

Abstract Artificial intelligence technologies and data structures required for training have become more accessible in recent years and this has enabled artists to incorporate these technologies into their works to various ends. This paper is concerned with the ways in which present day artists are engaging with artificial intelligence, specifically material practices that endeavour to use these technologies and their potential non-human agencies as collaborators with differential objectives to commercial fields. The intentions behind artists’ use of artificial intelligence is varied. Many works, with the accelerating assimilation of artificial intelligence technologies into everyday life, follow a critical path. Such as attempting to unveil how artificial intelligence materially works and is embodied, or to critically work through the potential future adoptions of artificial intelligence technologies into everyday life. However, I diverge from unpacking the criticality of these works and instead follow the suggestion of Bruno Latour to consider their composition. As for Latour, critique implies the capacity to discover a ‘truer’ understanding of reality, whereas composition addresses immanence, how things come together and the emergence of experience. Central to this paper are works that seek to collaborate with artificial intelligence, and to use it to drift out of rather than to affirm or mimic human agency. This goes beyond techniques such as ‘style transfer’ which is seen to support and encode existing human biases or patterns in data. Collaboration with signifies a recognition of a wider field of what constitutes the activity of artistic composition beyond being a singularly human, or AI, act, where composition can be situated in a system. This paper will look at how this approach allows an artist to consider the emerging materiality of a system which they are composing, its resistances and potentials, and the possibilities afforded by the exchange between human and machine intentions in co-composition.

David Chalmers is a professor of philosophy and neural science at New York University. He received his PhD in philosophy and cognitive science from Indiana University in 1993 and has held positions at University of California, Santa Cruz, University of Arizona, and Australian National University. He helped to found the Association for the Scientific Study of Consciousness and co-directs the PhilPapers Foundation. Chalmers has written extensively on a wide range of topics, including philosophy of mind, philosophy of language, metaphysics, epistemology, and metaphilosophy. He is a prolific author. His well-known works include The Conscious Mind, The Character of Consciousness, and Constructing the World. For more information about Chalmers and his current projects, visit http://consc.net/.

This paper uses HexaM made by Toyoda Machine Works Co. as an analytical model of parallel mechanism type machine tools. Much collision may be generated for its complicated structure and working space, using this machine. For example, those collisions are generated between the moving components of the parallel mechanism, between the moving components and a workpiece and between the moving components and the tool storage for automatic changing. In this paper, an algorithm for detecting and avoiding those collisions is proposed. The method for avoiding the collisions is conducted by readjusting the location of the workpiece without amending the tool path. It is confirmed through experimental works that the proposed algorithm is useful for detecting the collisions and determining the location of the workpiece prior to the actual machining.

Sharing of resources by the cores of multi-core processors brings performance issues for the system. Majority of the shared resources belong to memory hierarchy sub-system of the processors such as last level caches, prefetchers and memory buses. Programs co-running on the cores of a multi-core processor may interfere with each other due to usage of such shared resources. Such interference causes co-running programs to suffer with performance degradation. Previous research works include efforts to characterize and classify the memory behaviors of programs to predict the performance. Such knowledge could be useful to create workloads to perform performance studies on multi-core processors. It could also be utilized to form policies at system level to mitigate the interference between co-running programs due to use of shared resources. In this work, machine learning techniques are used to predict the performance on multi-core processors. The main contribution of the study is enumeration of solo-run program attributes, which can be used to predict concurrent-run performance despite change in the number of co-running programs sharing the resources. The concurrent-run involves the interference between co-running programs due to use of shared resources.

Cemented carbides have been intensively used as cutting tool through their high hardness, high fracture toughness and high wear resistance. A considerable amount of works has been developed in order to improve the mechanical properties of alternate cemented carbide systems. This work has the purpose to reports the first results obtained to WC-Co reinforced with 5 wt.% NbC. The mixture of powders was hot-pressed at 1250 °C in a inert atmosphere. Hardness and fracture toughness were carried out in a Vickers hardness testing machine. The results have showed that the addition of niobium carbide improves the hardness of tungsten carbide and inhibits the WCgrain growth.

AbstractGraphs have been widely used to represent complex data in many applications, such as e-commerce, social networks, and bioinformatics. Efficient and effective analysis of graph data is important for graph-based applications. However, most graph analysis tasks are combinatorial optimization (CO) problems, which are NP-hard. Recent studies have focused a lot on the potential of using machine learning (ML) to solve graph-based CO problems. Most recent methods follow the two-stage framework. The first stage is graph representation learning, which embeds the graphs into low-dimension vectors. The second stage uses machine learning to solve the CO problems using the embeddings of the graphs learned in the first stage. The works for the first stage can be classified into two categories, graph embedding methods and end-to-end learning methods. For graph embedding methods, the learning of the the embeddings of the graphs has its own objective, which may not rely on the CO problems to be solved. The CO problems are solved by independent downstream tasks. For end-to-end learning methods, the learning of the embeddings of the graphs does not have its own objective and is an intermediate step of the learning procedure of solving the CO problems. The works for the second stage can also be classified into two categories, non-autoregressive methods and autoregressive methods. Non-autoregressive methods predict a solution for a CO problem in one shot. A non-autoregressive method predicts a matrix that denotes the probability of each node/edge being a part of a solution of the CO problem. The solution can be computed from the matrix using search heuristics such as beam search. Autoregressive methods iteratively extend a partial solution step by step. At each step, an autoregressive method predicts a node/edge conditioned to current partial solution, which is used to its extension. In this survey, we provide a thorough overview of recent studies of the graph learning-based CO methods. The survey ends with several remarks on future research directions.

Machine tools as a main device in manufacturing and production lines are widely used nearly in all branches of industries. Precision continuation of these systems with times and against inspected shocks is necessary and very important. Turning as a main kind and high usage machine tool is used in many industrial parts production, especially those with rounded sections. Spindle, tailstock and bed in machine tools play engraving role in dimensional accuracy. In this paper the vibration effects on the tailstock of a turning machine during its operation, is analyzed. For this purpose, a LZ330 VS machine from Weiler Co. in Germany is modeled with Solid Works software. This model with IGES format is transferred to ANSYS 5.4 analytical software. In this area, the model is analyzed via modal and transient dynamic analysis. The results show that, the more tailstock’s sleeve length, the less critical frequency amount.

Numbers and numerical vectors account for a large portion of data. However, recently, the amount of string data generated has increased dramatically. Consequently, classifying string data is a common problem in many fields. The most widely used approach to this problem is to convert strings into numerical vectors using string kernels and subsequently apply a support vector machine that works in a numerical vector space. However, this non-one-to-one conversion involves a loss of information and makes it impossible to evaluate, using probability theory, the generalization error of a learning machine, considering that the given data to train and test the machine are strings generated according to probability laws. In this study, we approach this classification problem by constructing a classifier that works in a set of strings. To evaluate the generalization error of such a classifier theoretically, probability theory for strings is required. Therefore, we first extend a limit theorem for a consensus sequence of strings demonstrated by one of the authors and co-workers in a previous study. Using the obtained result, we then demonstrate that our learning machine classifies strings in an asymptotically optimal manner. Furthermore, we demonstrate the usefulness of our machine in practical data analysis by applying it to predicting protein–protein interactions using amino acid sequences and classifying RNAs by the secondary structure using nucleotide sequences.

In 1973, Indiana University’s Mathers Museum of World Cultures purchased a selection of works from the Eastern Band of Cherokee Indians’ Qualla Arts and Crafts Mutual, one of the oldest Native American-owned art and craft cooperatives in the United States. In this paper, I discuss, from my perspective as co-curator, the development of the museum’s 2015 exhibition of that collection, Cherokee Craft, 1973. Through this project, the curatorial team sought to creatively evoke the Qualla cooperative at the dynamic historical moment these works represented, while also contending with significant resource limitations. What resulted was an exhibit organized around the concept of a moment in time. This alternative presentation strategy gave us an opportunity to explore a variety of important topics and ongoing processes specific to the institution in the early 1970s. In this paper, I discuss how this approach allowed us to present a plurality of voices, while also showcasing many of the cooperative’s most renowned makers. I also position Cherokee Craft, 1973 as an exhibit curated by graduate students for a university audience: it was a site of innovation and representational experimentation for its creators, unique to its institutional type and its own particular moment in time.

Nationalism: Past as Prologue began as a single volume being compiled by Ad Akande, a scholar from South Africa, who proposed it to me as co-author about two years ago. The original idea was to examine how the damaging roots of nationalism have been corroding political systems around the world, and creating dangerous obstacles for necessary international cooperation. Since I (Bruce E. Johansen) has written profusely about climate change (global warming, a.k.a. infrared forcing), I suggested a concerted effort in that direction. This is a worldwide existential threat that affects every living thing on Earth. It often compounds upon itself, so delays in reducing emissions of fossil fuels are shortening the amount of time remaining to eliminate the use of fossil fuels to preserve a livable planet. Nationalism often impedes solutions to this problem (among many others), as nations place their singular needs above the common good. Our initial proposal got around, and abstracts on many subjects arrived. Within a few weeks, we had enough good material for a 100,000-word book. The book then fattened to two moderate volumes and then to four two very hefty tomes. We tried several different titles as good submissions swelled. We also discovered that our best contributors were experts in their fields, which ranged the world. We settled on three stand-alone books:” 1/ nationalism and racial justice. Our first volume grew as the growth of Black Lives Matter following the brutal killing of George Floyd ignited protests over police brutality and other issues during 2020, following the police assassination of Floyd in Minneapolis. It is estimated that more people took part in protests of police brutality during the summer of 2020 than any other series of marches in United States history. This includes upheavals during the 1960s over racial issues and against the war in Southeast Asia (notably Vietnam). We choose a volume on racism because it is one of nationalism’s main motive forces. This volume provides a worldwide array of work on nationalism’s growth in various countries, usually by authors residing in them, or in the United States with ethnic ties to the nation being examined, often recent immigrants to the United States from them. Our roster of contributors comprises a small United Nations of insightful, well-written research and commentary from Indonesia, New Zealand, Australia, China, India, South Africa, France, Portugal, Estonia, Hungary, Russia, Poland, Kazakhstan, Georgia, and the United States. Volume 2 (this one) describes and analyzes nationalism, by country, around the world, except for the United States; and 3/material directly related to President Donald Trump, and the United States. The first volume is under consideration at the Texas A & M University Press. The other two are under contract to Nova Science Publishers (which includes social sciences). These three volumes may be used individually or as a set. Environmental material is taken up in appropriate places in each of the three books. * * * * * What became the United States of America has been strongly nationalist since the English of present-day Massachusetts and Jamestown first hit North America’s eastern shores. The country propelled itself across North America with the self-serving ideology of “manifest destiny” for four centuries before Donald Trump came along. Anyone who believes that a Trumpian affection for deportation of “illegals” is a new thing ought to take a look at immigration and deportation statistics in Adam Goodman’s The Deportation Machine: America’s Long History of Deporting Immigrants (Princeton University Press, 2020). Between 1920 and 2018, the United States deported 56.3 million people, compared with 51.7 million who were granted legal immigration status during the same dates. Nearly nine of ten deportees were Mexican (Nolan, 2020, 83). This kind of nationalism, has become an assassin of democracy as well as an impediment to solving global problems. Paul Krugman wrote in the New York Times (2019:A-25): that “In their 2018 book, How Democracies Die, the political scientists Steven Levitsky and Daniel Ziblatt documented how this process has played out in many countries, from Vladimir Putin’s Russia, to Recep Erdogan’s Turkey, to Viktor Orban’s Hungary. Add to these India’s Narendra Modi, China’s Xi Jinping, and the United States’ Donald Trump, among others. Bit by bit, the guardrails of democracy have been torn down, as institutions meant to serve the public became tools of ruling parties and self-serving ideologies, weaponized to punish and intimidate opposition parties’ opponents. On paper, these countries are still democracies; in practice, they have become one-party regimes….And it’s happening here [the United States] as we speak. If you are not worried about the future of American democracy, you aren’t paying attention” (Krugmam, 2019, A-25). We are reminded continuously that the late Carl Sagan, one of our most insightful scientific public intellectuals, had an interesting theory about highly developed civilizations. Given the number of stars and planets that must exist in the vast reaches of the universe, he said, there must be other highly developed and organized forms of life. Distance may keep us from making physical contact, but Sagan said that another reason we may never be on speaking terms with another intelligent race is (judging from our own example) could be their penchant for destroying themselves in relatively short order after reaching technological complexity. This book’s chapters, introduction, and conclusion examine the worldwide rise of partisan nationalism and the damage it has wrought on the worldwide pursuit of solutions for issues requiring worldwide scope, such scientific co-operation public health and others, mixing analysis of both. We use both historical description and analysis. This analysis concludes with a description of why we must avoid the isolating nature of nationalism that isolates people and encourages separation if we are to deal with issues of world-wide concern, and to maintain a sustainable, survivable Earth, placing the dominant political movement of our time against the Earth’s existential crises. Our contributors, all experts in their fields, each have assumed responsibility for a country, or two if they are related. This work entwines themes of worldwide concern with the political growth of nationalism because leaders with such a worldview are disinclined to co-operate internationally at a time when nations must find ways to solve common problems, such as the climate crisis. Inability to cooperate at this stage may doom everyone, eventually, to an overheated, stormy future plagued by droughts and deluges portending shortages of food and other essential commodities, meanwhile destroying large coastal urban areas because of rising sea levels. Future historians may look back at our time and wonder why as well as how our world succumbed to isolating nationalism at a time when time was so short for cooperative intervention which is crucial for survival of a sustainable earth. Pride in language and culture is salubrious to individuals’ sense of history and identity. Excess nationalism that prevents international co-operation on harmful worldwide maladies is quite another. As Pope Francis has pointed out: For all of our connectivity due to expansion of social media, ability to communicate can breed contempt as well as mutual trust. “For all our hyper-connectivity,” said Francis, “We witnessed a fragmentation that made it more difficult to resolve problems that affect us all” (Horowitz, 2020, A-12). The pope’s encyclical, titled “Brothers All,” also said: “The forces of myopic, extremist, resentful, and aggressive nationalism are on the rise.” The pope’s document also advocates support for migrants, as well as resistance to nationalist and tribal populism. Francis broadened his critique to the role of market capitalism, as well as nationalism has failed the peoples of the world when they need co-operation and solidarity in the face of the world-wide corona virus pandemic. Humankind needs to unite into “a new sense of the human family [Fratelli Tutti, “Brothers All”], that rejects war at all costs” (Pope, 2020, 6-A). Our journey takes us first to Russia, with the able eye and honed expertise of Richard D. Anderson, Jr. who teaches as UCLA and publishes on the subject of his chapter: “Putin, Russian identity, and Russia’s conduct at home and abroad.” Readers should find Dr. Anderson’s analysis fascinating because Vladimir Putin, the singular leader of Russian foreign and domestic policy these days (and perhaps for the rest of his life, given how malleable Russia’s Constitution has become) may be a short man physically, but has high ambitions. One of these involves restoring the old Russian (and Soviet) empire, which would involve re-subjugating a number of nations that broke off as the old order dissolved about 30 years ago. President (shall we say czar?) Putin also has international ambitions, notably by destabilizing the United States, where election meddling has become a specialty. The sight of Putin and U.S. president Donald Trump, two very rich men (Putin $70-$200 billion; Trump $2.5 billion), nuzzling in friendship would probably set Thomas Jefferson and Vladimir Lenin spinning in their graves. The road of history can take some unanticipated twists and turns. Consider Poland, from which we have an expert native analysis in chapter 2, Bartosz Hlebowicz, who is a Polish anthropologist and journalist. His piece is titled “Lawless and Unjust: How to Quickly Make Your Own Country a Puppet State Run by a Group of Hoodlums – the Hopeless Case of Poland (2015–2020).” When I visited Poland to teach and lecture twice between 2006 and 2008, most people seemed to be walking on air induced by freedom to conduct their own affairs to an unusual degree for a state usually squeezed between nationalists in Germany and Russia. What did the Poles then do in a couple of decades? Read Hlebowicz’ chapter and decide. It certainly isn’t soft-bellied liberalism. In Chapter 3, with Bruce E. Johansen, we visit China’s western provinces, the lands of Tibet as well as the Uighurs and other Muslims in the Xinjiang region, who would most assuredly resent being characterized as being possessed by the Chinese of the Han to the east. As a student of Native American history, I had never before thought of the Tibetans and Uighurs as Native peoples struggling against the Independence-minded peoples of a land that is called an adjunct of China on most of our maps. The random act of sitting next to a young woman on an Air India flight out of Hyderabad, bound for New Delhi taught me that the Tibetans had something to share with the Lakota, the Iroquois, and hundreds of other Native American states and nations in North America. Active resistance to Chinese rule lasted into the mid-nineteenth century, and continues today in a subversive manner, even in song, as I learned in 2018 when I acted as a foreign adjudicator on a Ph.D. dissertation by a Tibetan student at the University of Madras (in what is now in a city called Chennai), in southwestern India on resistance in song during Tibet’s recent history. Tibet is one of very few places on Earth where a young dissident can get shot to death for singing a song that troubles China’s Quest for Lebensraum. The situation in Xinjiang region, where close to a million Muslims have been interned in “reeducation” camps surrounded with brick walls and barbed wire. They sing, too. Come with us and hear the music. Back to Europe now, in Chapter 4, to Portugal and Spain, we find a break in the general pattern of nationalism. Portugal has been more progressive governmentally than most. Spain varies from a liberal majority to military coups, a pattern which has been exported to Latin America. A situation such as this can make use of the term “populism” problematic, because general usage in our time usually ties the word into a right-wing connotative straightjacket. “Populism” can be used to describe progressive (left-wing) insurgencies as well. José Pinto, who is native to Portugal and also researches and writes in Spanish as well as English, in “Populism in Portugal and Spain: a Real Neighbourhood?” provides insight into these historical paradoxes. Hungary shares some historical inclinations with Poland (above). Both emerged from Soviet dominance in an air of developing freedom and multicultural diversity after the Berlin Wall fell and the Soviet Union collapsed. Then, gradually at first, right wing-forces began to tighten up, stripping structures supporting popular freedom, from the courts, mass media, and other institutions. In Chapter 5, Bernard Tamas, in “From Youth Movement to Right-Liberal Wing Authoritarianism: The Rise of Fidesz and the Decline of Hungarian Democracy” puts the renewed growth of political and social repression into a context of worldwide nationalism. Tamas, an associate professor of political science at Valdosta State University, has been a postdoctoral fellow at Harvard University and a Fulbright scholar at the Central European University in Budapest, Hungary. His books include From Dissident to Party Politics: The Struggle for Democracy in Post-Communist Hungary (2007). Bear in mind that not everyone shares Orbán’s vision of what will make this nation great, again. On graffiti-covered walls in Budapest, Runes (traditional Hungarian script) has been found that read “Orbán is a motherfucker” (Mikanowski, 2019, 58). Also in Europe, in Chapter 6, Professor Ronan Le Coadic, of the University of Rennes, Rennes, France, in “Is There a Revival of French Nationalism?” Stating this title in the form of a question is quite appropriate because France’s nationalistic shift has built and ebbed several times during the last few decades. For a time after 2000, it came close to assuming the role of a substantial minority, only to ebb after that. In 2017, the candidate of the National Front reached the second round of the French presidential election. This was the second time this nationalist party reached the second round of the presidential election in the history of the Fifth Republic. In 2002, however, Jean-Marie Le Pen had only obtained 17.79% of the votes, while fifteen years later his daughter, Marine Le Pen, almost doubled her father's record, reaching 33.90% of the votes cast. Moreover, in the 2019 European elections, re-named Rassemblement National obtained the largest number of votes of all French political formations and can therefore boast of being "the leading party in France.” The brutality of oppressive nationalism may be expressed in personal relationships, such as child abuse. While Indonesia and Aotearoa [the Maoris’ name for New Zealand] hold very different ranks in the United Nations Human Development Programme assessments, where Indonesia is classified as a medium development country and Aotearoa New Zealand as a very high development country. In Chapter 7, “Domestic Violence Against Women in Indonesia and Aotearoa New Zealand: Making Sense of Differences and Similarities” co-authors, in Chapter 8, Mandy Morgan and Dr. Elli N. Hayati, from New Zealand and Indonesia respectively, found that despite their socio-economic differences, one in three women in each country experience physical or sexual intimate partner violence over their lifetime. In this chapter ther authors aim to deepen understandings of domestic violence through discussion of the socio-economic and demographic characteristics of theit countries to address domestic violence alongside studies of women’s attitudes to gender norms and experiences of intimate partner violence. One of the most surprising and upsetting scholarly journeys that a North American student may take involves Adolf Hitler’s comments on oppression of American Indians and Blacks as he imagined the construction of the Nazi state, a genesis of nationalism that is all but unknown in the United States of America, traced in this volume (Chapter 8) by co-editor Johansen. Beginning in Mein Kampf, during the 1920s, Hitler explicitly used the westward expansion of the United States across North America as a model and justification for Nazi conquest and anticipated colonization by Germans of what the Nazis called the “wild East” – the Slavic nations of Poland, the Baltic states, Ukraine, and Russia, most of which were under control of the Soviet Union. The Volga River (in Russia) was styled by Hitler as the Germans’ Mississippi, and covered wagons were readied for the German “manifest destiny” of imprisoning, eradicating, and replacing peoples the Nazis deemed inferior, all with direct references to events in North America during the previous century. At the same time, with no sense of contradiction, the Nazis partook of a long-standing German romanticism of Native Americans. One of Goebbels’ less propitious schemes was to confer honorary Aryan status on Native American tribes, in the hope that they would rise up against their oppressors. U.S. racial attitudes were “evidence [to the Nazis] that America was evolving in the right direction, despite its specious rhetoric about equality.” Ming Xie, originally from Beijing, in the People’s Republic of China, in Chapter 9, “News Coverage and Public Perceptions of the Social Credit System in China,” writes that The State Council of China in 2014 announced “that a nationwide social credit system would be established” in China. “Under this system, individuals, private companies, social organizations, and governmental agencies are assigned a score which will be calculated based on their trustworthiness and daily actions such as transaction history, professional conduct, obedience to law, corruption, tax evasion, and academic plagiarism.” The “nationalism” in this case is that of the state over the individual. China has 1.4 billion people; this system takes their measure for the purpose of state control. Once fully operational, control will be more subtle. People who are subject to it, through modern technology (most often smart phones) will prompt many people to self-censor. Orwell, modernized, might write: “Your smart phone is watching you.” Ming Xie holds two Ph.Ds, one in Public Administration from University of Nebraska at Omaha and another in Cultural Anthropology from the Chinese Academy of Social Sciences, Beijing, where she also worked for more than 10 years at a national think tank in the same institution. While there she summarized news from non-Chinese sources for senior members of the Chinese Communist Party. Ming is presently an assistant professor at the Department of Political Science and Criminal Justice, West Texas A&M University. In Chapter 10, analyzing native peoples and nationhood, Barbara Alice Mann, Professor of Honours at the University of Toledo, in “Divide, et Impera: The Self-Genocide Game” details ways in which European-American invaders deprive the conquered of their sense of nationhood as part of a subjugation system that amounts to genocide, rubbing out their languages and cultures -- and ultimately forcing the native peoples to assimilate on their own, for survival in a culture that is foreign to them. Mann is one of Native American Studies’ most acute critics of conquests’ contradictions, and an author who retrieves Native history with a powerful sense of voice and purpose, having authored roughly a dozen books and numerous book chapters, among many other works, who has traveled around the world lecturing and publishing on many subjects. Nalanda Roy and S. Mae Pedron in Chapter 11, “Understanding the Face of Humanity: The Rohingya Genocide.” describe one of the largest forced migrations in the history of the human race, the removal of 700,000 to 800,000 Muslims from Buddhist Myanmar to Bangladesh, which itself is already one of the most crowded and impoverished nations on Earth. With about 150 million people packed into an area the size of Nebraska and Iowa (population less than a tenth that of Bangladesh, a country that is losing land steadily to rising sea levels and erosion of the Ganges river delta. The Rohingyas’ refugee camp has been squeezed onto a gigantic, eroding, muddy slope that contains nearly no vegetation. However, Bangladesh is majority Muslim, so while the Rohingya may starve, they won’t be shot to death by marauding armies. Both authors of this exquisite (and excruciating) account teach at Georgia Southern University in Savannah, Georgia, Roy as an associate professor of International Studies and Asian politics, and Pedron as a graduate student; Roy originally hails from very eastern India, close to both Myanmar and Bangladesh, so he has special insight into the context of one of the most brutal genocides of our time, or any other. This is our case describing the problems that nationalism has and will pose for the sustainability of the Earth as our little blue-and-green orb becomes more crowded over time. The old ways, in which national arguments often end in devastating wars, are obsolete, given that the Earth and all the people, plants, and other animals that it sustains are faced with the existential threat of a climate crisis that within two centuries, more or less, will flood large parts of coastal cities, and endanger many species of plants and animals. To survive, we must listen to the Earth, and observe her travails, because they are increasingly our own.

The present article discusses dance’s potential in inicial teacher’s education. In order to do so, it begins by contextualizing the body as an object of power, especially from the 18th century onwards and the entire process of disciplining bodies debated by Michel Foucault. But if, on the one hand, bodies are subjected to a process of docility, they are also resistance. In this sense, looking at dance in training processes is to understand it as a war machine that places the body in the trench zone within educational spaces, as it does not intend to shape the body to docile it, but to present all its power and potential. possibility of making new bodies – powerful and not submissive bodies. In this trench zone exercise, the experience at the Laboratory of Art and Culture of the Faculty of Education of the University of São Paulo between 2017 and 2019 will be presented, which works from the perspective of self-training, autopoiesis, and dialogues with a critical and emancipatory teacher training.

Sharing of resources by the cores of multi-core processors brings performance issues for the system. Majority of the shared resources belong to memory hierarchy sub-system of the processors such as last level caches, prefetchers and memory buses. Programs co-running on the cores of a multi-core processor may interfere with each other due to usage of such shared resources. Such interference causes co-running programs to suffer with performance degradation. Previous research works include efforts to characterize and classify the memory behaviors of programs to predict the performance. Such knowledge could be useful to create workloads to perform performance studies on multi-core processors. It could also be utilized to form policies at system level to mitigate the interference between co-running programs due to use of shared resources. In this work, machine learning techniques are used to predict the performance on multi-core processors. The main contribution of the study is enumeration of solo-run program attributes, which can be used to predict concurrent-run performance despite change in the number of co-running programs sharing the resources. The concurrent-run involves the interference between co-running programs due to use of shared resources.

Chapter 4 examines all of Parker’s complete 32-bar compositions that are in ABAC form. There are only four of these, and one of them (“Ornithology”) is generally credited as a co-composition to Parker and Benny Harris. It is based on the form and harmonies of “How High the Moon” (Hamilton-Lewis). Parker performed “Ornithology” consistently through his career, perhaps because the conjunction of “Bird” and “Ornithology” was too tempting to ignore. “Donna Lee,” while credited to Parker, is widely considered to have been written by Miles Davis. One of the most popular compositions associated with Parker, “Donna Lee” is based on “Back Home in Indiana” (MacDonald-Hanley). The final two works, “Quasimodo” and “Cardboard,” are less known, but are fine compositions.

Abstract The grim picture painted by GDP numbers during the Covid-19 outbreak had begun ringing alarm bells for policy-makers and the Government machinery alike. There was an outcry by economists for a stimulus package along the lines provided by Governments of advanced economies running into trillions of dollars. While the Government of India ably responded to the need of the hour and provided a stimulus package to the tune of Rs. 20 lakh crores (equivalent to 10% of GDP), many deliberations post this announcement were pointing towards the fact that the stimulus was inadequate for reviving the Indian economy, and the Government must pull out all stops to get the economy back on track. The point that was being missed out here and what the chapter delves into was that the hands of the Government were tied due to the availability of limited fiscal space. The question that all of us need to answer is: In times of an unprecedented situation such as a health pandemic, is it the whole sole responsibility of the Government alone to step forward and take action in such difficult times OR should Corporates and citizens join hands with the Government and work towards nation building especially during a crisis in hand? Should not the wealthy and citizens with deep pockets rise to the occasion and be a partner in the Government’s efforts in bringing back the situation to normalcy? Given the health emergency and crisis situation, cash- rich corporates and wealthy individuals with deep pockets should co- create their CSR and philanthropic strategies as an effective response to the virus outbreak.

Except for a few recent works, the study of the articulation between regional direct investment and economic development in a country like Tunisia has remained, at best, at the stage of theoretical argument. The major contribution of this work is to undertake the empirical exploration of the black box constituted by regional investment so far in order to explain the weakness of national financial resources and the low rate of economic growth that results from it. In this context, the authors first establish basic results by estimating a static panel model, then they consider dynamic panel estimates through the use of the GMM-system method developed by Blundell and Blond for six Tunisian regions (GT, NE, NO, CE, CO, and South) for the period covering 22 years from 2000 to 2021. As a last resort, they consider the non-stationary panel perspective. The panel unit root tests of Levin, Lin, and Chu; Pesaran and Shin; and Hadri indicate that the series are integrated of Order 1.

The semi-supervised learning is one of the most interesting fields for research developments in the machine learning domain beyond the scope of supervised learning from data. Medical diagnostic process works mostly in supervised mode, but in reality, we are in the presence of a large amount of unlabeled samples and a small set of labeled examples characterized by thousands of features. This problem is known under the term “the curse of dimensionality”. In this study, we propose, as solution, a new approach in semi-supervised learning that we would call Optim Co-forest. The Optim Co-forest algorithm combines the re-sampling data approach (Bagging Breiman, 1996) with two selection strategies. The first one involves selecting random subset of parameters to construct the ensemble of classifiers following the principle of Co-forest (Li & Zhou, 2007). The second strategy is an extension of the importance measure of Random Forest (RF; Breiman, 2001). Experiments on high dimensional datasets confirm the power of the adopted selection strategies in the scalability of our method.

This chapter displays how Tibetans have generated an alternative urbanism that works within and draws from dominant sensibilities by channeling these sensibilities to create places with material and rhythmic intensities that make such places sensorially and socially available to Tibetan co-ethnics. Through practices both coordinated and uncoordinated, the chapter shows how Tibetans and their more-than-human companions have built a rhizomatic urban form that sustains Tibetanness amid the civilizing machine. The chapter first discusses how and why Tibetans channel their places within Xining City, a municipal territory in which practices of place are restricted by virtue of being located within territories that carry explicit and implicit normative dimensions. It then explores Tibetans' place-making practices in private interiors and in the shared corridors and yards of housing communities, and Tibetans' efforts to build religious structures in closely regulated urban territories. The chapter draws from ethnography and the works of the writer and filmmaker Pema Tseden to explore the role of animals and animal products in the city and Tibetans' negotiation of which animals and diets belong in what places.

Bio-inspired computing with memristors and neuristors offers promising pathways to energy-efficient intelligence. This work reviews toolkits for implementing spiking neural networks and Bayesian machine learning directly in hardware using these emerging devices. We first demonstrate that normally passive memristors can exhibit neuristor-like oscillatory behavior when heating and cooling is taken into account. Such oscillations enable spike-based neural computing. We then summarize recent works on leveraging intrinsic switching stochasticity in memristive devices to physically embed Bayesian models and perform in-situ probabilistic inference. While still facing challenges in endurance, variation tolerance, and peripheral circuitry, this co-design approach combining tailored algorithms and nanodevices could enable a new class of ultra-low power brain-inspired intelligence tolerant to uncertainty and capable to learn with small datasets. Longer-term, hybrid CMOS-memristor systems with sensing/actuation may provide fully adaptive Bayesian edge intelligence. Overall, the confluence of probabilistic algorithms and memristive hardware holds promise for future electronics combining efficiency, adaptability, and human-like reasoning. Academic innovations exploring this algorithm-hardware co-design can lay the foundation for this emerging paradigm of probabilistic cognitive computing.

Increasing requirements for the environmental performance of agricultural transport vehicles require improvement of their design that will reduce emissions of harmful substances from exhaust gases. A method of estimating fuel efficiency and environmental performance of a wheeled tractor with a gas engine when performing transport works has been developed. A mathematical model of the wheeled tractor movement along the driving cycle has been developed. The mathematical model used the results of experimental studies of a gas engine. Bench tests of a diesel engine that was converted into a spark ignition gas engine for operation on natural gas were performed and they confirmed its operability and showed good operational performance. A wheeled tractor was converted to run on gas fuels using the same technology and elements. Its test results showed that there are certain peculiarities of driving such tractor due to the fact that the diesel tractor engine is equipped with an all-mode crankshaft speed regulator which is not used in a gas engine. A driving cycle was chosen to study the performance of a wheeled tractor when performing transport works. Environmental indicators and fuel consumption of a specific engine, that are used in the mathematical model, are described by polynomial models based on its experimental characteristics. Using the mathematical model of tractor movement during the driving cycle, the appropriate ways of controlling the transmission and gas engine during tractor movement were determined, in particular, the proper order of gear shifting when the tractor is accelerating. The total emissions of harmful substances during the driving cycle of a tractor both with a gas engine and a diesel engine were calculated, which prove the environmental feasibility of using gas fuel. The total toxicity of exhaust gases, reduced to carbon monoxide CO, of a tractor with a gas engine is 1.9 times lower than of a diesel engine.

In developing countries like Timor-Leste, regular road condition monitoring is a significant subject not only for maintaining road quality but also for a national plan of road network construction. The sophisticated equipment for road surface inspection is so expensive that it is difficult to introduce them in developing countries, and the monitoring is usually achieved by manual operation. On the other hand, the utilization of ICT devices such as smartphones has gained much attention in recent years, especially in developing countries because the penetration rate of the smartphone is remarkably increasing even in developing countries. The smartphones equip various high precision sensors, i.e., accelerometers, gyroscopes, GPS, and so on, in the small body in low price. In this project, we are developing an integrated road condition monitoring system that consists of smartphones, dashcams, and a server. There are similar trials in advanced countries but not so many in developing countries. This system assumes to be used in developing countries. The system is very low cost and does not require trained specialists in the field side. The items that are automatically inspected in this system were carefully selected with the local ministry of public works and include paved and unpaved classification, road roughness, road width, detection and size estimation of potholes, bumps, etc., at present. All the inspected items are visualized in Google Maps, Open Street Map, or QGIS with GPS information. The survey results are collected on a server and updated to more accurate values by the repeated surveys. On the analysis, we use several state-of-the-art machine learning and deep learning techniques. In this paper, we summarize related works and introduce this project’s target and framework, which especially focused on the developing countries, and achievements of each of our tasks.

Abstract Rotary compressors such as screw compressors, roots blowers, and turbo compressors are used in industry to compress process gases, or as vacuum or backing pumps to evacuate vessels. Gas is sucked in at low-pressure side, transported and compressed by size-changing chambers (PD machines) or energy transmission from rotor to fluid (turbo machinery), and released at high-pressure side. In expanders or turbines, flow direction is from high to low pressure side to gain energy from pressurized gases. The 3D CFD simulation of such compressors/expanders is complex and time-consuming due to its transient nature and fine meshes to ensure a proper representation of radial and axial gaps in the range of some microns with machine dimensions up to meters. Due to this complexity, 3D CFD simulation should focus on the component, i.e. the compressor, and the attached overall system with vessels, valves, pipes, and consumers should be simulated in a 1D network or system simulation. Due to oscillations in the gas flow and interaction with the connected system a transient coupling is necessary. In this paper we show a 3D CFD simulation of a screw compressor using ANSYS CFX in a co-simulation with the 1D Flownex simulation environment of a network modelling the pressurized gas distribution. Whereas the 3D solver works on meshes with up to several million nodes in parallel on HPC systems, the 1D solver typically works serially on several thousand nodes that discretize the flow direction. The transient coupling is based on the exchange of variables at the boundaries of each simulation for every time step allowing for detailed analysis. The impact of the acoustic propagation of pressure fluctuations and the pulsating fluid flow provided by the compressor on the distribution system, and in return the effects of the system response on the compressor are evaluated. Furthermore transient scenarios such as start-up procedures or component failure will be shown.

The Maker’s Space is an attempt to democratize technological innovation by providing space and tools to rural youth to experiment and learn. Lack of infrastructure and access to educational tools inhibits the youth in rural India from realizing their full potential and creating innovative context-appropriate solutions for their communities. // The Maker's Space initiative is based on the idea of ‘innovate, invent, peer-learn, co-create,’. In these spaces, the students and adolescents are exposed to a hands-on, STEM-based approach and creative ways of learning to encourage them to design, build, experiment and innovate while they engage in science, technology, art, engineering and mathematics. Therefore, it facilitates a shift from “learning to know” to “learning to do” and “learning to work together”. It also provides an unstructured learning space supported by the machine and digital tools of learning that allows children and youth to take ownership of their learning. The Maker’s Space initiative also designs the physical spaces in a manner that fosters self-reflection and immersive learning. To teach digital literacy, DEF will be employing a variety of formats such as online learning and bot-based learning. // This program has a special focus on girls and persons with disabilities. This special focus is aimed at addressing their disproportionately low representation in STEM education. It is envisaged that this STEM learning program will support them in accessing livelihood, education and quality day to day life. The program is also designed to help them to think critically and will enable them to make tools that are beneficial to persons with disabilities. // Maker’s Spaces consist of a digital centre equipped with STEM learning and digital skilling tools. Understanding the importance of confidence-building, these spaces also conduct mental health sessions and motivational sessions.

This study presented an approach and framework for building a hybrid model of the gravity search algorithm and the genetic algorithm, to solve any of the fuzzy workshop scheduling problems (FJSSP) by fuzzing the processing times with a fuzzy number and fuzzing the due date with a fuzzy number. The gravity search algorithm was used to improve the performance of the genetic algorithm from During the generation of an initial generation of size l, representing close-to-optimal solutions, it is used by the genetic algorithm to perform the process of mating, substitution and mutation. The study was applied to Al-Saima Printing and Publishing Co. Ltd., where the fuzzy processing times and fuzzy due dates were recorded for four different works processed by eleven machines according to the nature of the work, and based on historical data in the company’s records. Finally, the study was able to reach a set of conclusions, the most important of which is achieving the research hypothesis, which is that the hybrid model proposed by the researcher is better in obtaining the optimal sequence of actions; To reduce completion time and reach customer satisfaction by delivering the product by the specified due date using the gravity search algorithm fuzzing method and the genetic algorithm fuzzing method.

The L20A gas turbine is a newly developed 20 MW class single-shaft machine. With its high simple-cycle efficiency and high exhaust gas temperature, it is particularly suited for use in distributed power generation, cogeneration and combined cycle applications. A design philosophy has been adopted for the turbine which includes a high efficiency transonic axial-flow compressor with eight can-type combustors and a high inlet temperature of 1250°C. This results in a thermal efficiency of 35% and an overall thermal efficiency of 80% for cogeneration system. In addition, the NOx emissions from the combustor is low and the L20A has a long service life. These features permit long-term continuous operation under various environmental limitations. Due to the engine’s high efficiency and its low component totals, the lowest life cycle cost is achieved. Development testing has verified that the performance, the mechanical characteristics and the emission have satisfied the initial design goals. The engine has been in operation from November 2001 as the first operating unit in a co-generation system at Kawasaki Akashi Works.

<div class="section abstract"><div class="htmlview paragraph">The benefits introduced by the replacement of conventional centrifugal pumps with volumetric machines for Internal Combustion Engines (ICEs) cooling were experimentally and theoretically proven in literature. Sliding Rotary Vane Pumps (SVRPs) ensure to achieve an interesting reduction of ICEs fuel consumption and CO₂ emissions. Despite volumetric pumps are a reference technology for ICE lubrication oil circuits, the application in ICE cooling systems still not represent a ready-to-market solution. Particularly challenging is the case of Heavy-Duty ICEs due to the wide operating range the pump covers in terms of flow rate delivered and pressure rise.</div><div class="htmlview paragraph">Generally, SVRPs are designed to operate at high speeds to reduce machine dimensions and, consequently, the weight. Nevertheless, speed increase could lead to a severe penalization of pump performance since the growth of the friction losses. They produce wear phenomena which require expensive surface treatments or, more generally, the adoption of materials which resist to higher mechanical stresses. Authors in their previous works developed an alternative design strategy based on the speed reduction compensating the size growth with an increase of the volumetric capability. It was found thanks to a peculiar property of SVRPs. An optimized variation of machine eccentricity leads to a higher volume capability, with a negligible increase of machine dimensions. In this way, the operating speed could be reduced avoiding the increase of machine size. A Low-Speed (LS) SVRP prototype was hence built, and the benefit introduced by the proposed design strategy was experimentally demonstrated in previous works after a theoretical model-based design.</div><div class="htmlview paragraph">A further increase of performances was presented in this paper. Machine shaping was indeed optimized in terms of stator diameter/pump length ratio, considering that the two geometrical parameters influence volumetric, indicated, and mechanical efficiencies. The optimization of these performances produces a combined positive effect on the pump overall efficiency improvement. Hence, thanks to an updated more comprehensive modelling, an optimized model-based design was produced in this work. Finally, the optimized SVRP was compared with the conventional centrifugal pump operating on the reference ICE (CURSOR 13 NG) over a WHTC (World Harmonized Transient Cycle) and the benefits offered in terms of energy reduction to drive the pump was calculated.</div></div>

Abstract The intention forecasting of the human driver plays an essential role in improving the safety and driver-machine coordination of the co-piloting vehicle, which is the decision-making foundation for driver assistance system (DAS). However, the quantitative prediction of the lane change decision, which determines the occasion and shape of the lane change path, has drawn little attention by the prior works. In this paper, a novel convolutional neural network (CNN)-based predictor that forecasts the driver’s lane change path is proposed. By including the driver’s eye-gazing and head-heading information, an earlier and more accurate prediction of driver’s time to lane change (TLC) and lane change duration (LCD), and we use the positive TLC and negative TLC to represent the classification results LC and RC, respectively. The classification and regression results validated that the inclusion of driver’s gazing information achieved an earlier and more precise detection of driver’s lane change intention. Furthermore, owning to the hierarchical structure of the CNN model and the parallel computing devices, the execution time of the proposed model is shorter and exhibits its powerful real-time computing performance. The estimated TLC and LCD are adopted to predict the driver’s target lane change trajectory with satisfactory accuracy. Therefore, the proposed model enables the DAS to generate a human-like lane change decision to minimize the driver-machine conflicts during lane change.

The influence of Reynolds number, roughness and turbulence on the onset of wall stall is up to now not sufficiently understood. To shed some light onto the interdependency of near wall flow with growing swirl component, the simplest “machine” is tested. The apparatus we examine is a circular pipe at rest followed by a rotating co-axial pipe segment. In the sense of a generic experiment this machine represents a very basic model of the inlet of an axial machine. Due to the wall shear stress a swirl boundary layer is formed in the rotating pipe segment, interacting with the axial boundary layer. The evolution of the swirl velocity profile with increasing axial distance from the rotating pipe inlet is measured for various Reynolds numbers, flow numbers and degrees of turbulence by means of Laser Doppler Anemometry. We observe a self-similarity in the swirl velocity profile, for subcritical flow number and develop a scaling law for the velocity distribution in the transition section of a rotating pipe. At critical flow number the boundary layer is separating, resulting in a ring vortex at the inlet of the rotating pipe. Our work fills the gap of previous experimental works, with respect to high Reynolds numbers and low flow numbers. The parameter field we examine is most relevant for turbomachinery application and wall stall. In addition our boundary layer resolution is sufficient to resolve the swirl boundary layer thickness. Only this high resolution enables us to generalize the experimental findings by means of a similarity distribution of the velocity profile within the swirl boundary layer.

The Paper examines the "Roads that Cars can Read'' attributes for physical and digital infrastructure and develops the AD Star rating methodology by assessing the readiness of the infrastructure for AD vehicles from a safety perspective in 4 member states (SLAIN project). It also describes the Australian findings on Infrastructure Changes to Support Automated Vehicles on Rural and Metropolitan Highways and Freeways. The European Road Assessment Programme (EuroRAP) is an innovative programme of systematic risk assessment protocols which include among others the aiRAP and Autonomous Driving (AD) Star Rating. EuroRAP works on the European Commission funded CEF project SLAIN which is a 2-year project co-financed by the European Union under the Connecting Europe Facility. The project is set out in eight activities to support and encourage the proposed changes to Directive 2008/96/EC and Prepare for Automation. Among other activities, Activity 7 will perform a three-part study to demonstrate the readiness of Europe's physical infrastructure for automation. lt will include verifying several physical road attributes (relevant 52 attributes) including road marking and traffic signs and digital road attributes in 4 member states and it is going to develop the automatic coding methodology for the European network for network wide assessment and producing AI algorithms for identifying and combining datasets of vehicle sensors. The Australian case study: The method used for the Australian CAV readiness audit was documented in the Austroads Report (2019) [4]. The audit was conducted by the Australian Road Research Board using a survey vehicle fitted with a Mobileye camera that represents machine vision technology used in late model or near future market vehicles. This technology detects the road environment in real-time including speed signs, lines and objects. Mobileye is a global supplier of machine vision technology to automotive manufacturers, and the Mobileye technology is the foundation of more than 25 auto manufacturer's ADAS functionality and is representative of how today's vehicles read the road.