Top PDF Leveraging Edge Computing through Collaborative Machine Learning

Leveraging Edge Computing through Collaborative Machine Learning

Leveraging Edge Computing through Collaborative Machine Learning

Contributions: In this work, we propose a novel col- laborative machine learning model at the IoT network edge that achieves both: (i) highly accurate prediction results over regression analytics tasks and (ii) scalability of the IoT edge network. Using incremental machine learning on the network edge, our methodology exploits the relationship of the con- text collected to extract knowledge and predict new context. Instead of transmitting raw contextual data in the network, we only transmit the inferred knowledge, i.e., the minimum sufficient statistics, which encapsulates and approximates the underlying data at the edge. [Desideratum 1:] Our rationale is based on the idea that each computing and sensing device, independently trains an on-line, local, linear regression model, which is then transferred to the back- end-system. This ensures network efficiency by avoiding transmitting the data; only meta-data corresponding to model parameters. The system then has access to all the received local models and, when queried for certain prediction / analytics queries, it has to intelligently select which model(s) to engage. [Desideratum 2:] We acknowledge that the received regression models from all the edge nodes might not be equally accurate amongst all the input space during the analytics tasks. Hence, we further adopt adaptive vector quantization to intelligently determine and aggregate the best regression models for each subset of the input space. We provide a comprehensive performance and comparative assessment to showcase the applicability of our model in terms of prediction accuracy and quality of regression results in the IoT network edge.
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Alvin Glay is a digital marketing executive with over a decade of experience crafting and leading data-driven growth marketing strategies. Alvin is passionate about driving measurable results and has married his strong work ethic with a passion for continuing education. His data- driven approach to continuous personal growth was instilled at an early age in his native Liberia and has been critical to his success in America. He is a trailblazer in online marketing, with a passion for leveraging digital technology drive marketing growth for firms. He has expertise in executing marketing strategies across multiple sectors: retail, travel, consumer package goods, education, nonprofit, telecom, consumer electronics, health, fitness, financial services, and beauty and fashion. He has successfully led large initiatives, blending technology, marketing, and analytics to achieve business objectives for major U.S. brands such as Proctor & Gamble, SC Johnson, Carters, and OshKosh B’Gosh.
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Morgan, Frisco, Farkas, and Hibel (2008) found that special education services in the early grades had a positive effect on learning behaviors. Lindekugel (2015) found no statistically significant improvement in standardized testing based on student participation in high school band programs. Propensity score matching and regression has been used to evaluate the effects of local, state, and federal program initiatives on student performance outcomes (Gross, Booker, and Goldhaber, 2009; Rodriguez, Hughes, & Belfield, 2012; Wyse, Keesler, & Schneider, 2008). Glazerman and Seifullah (2010) used propensity score matching with a fixed caliper to research the effects of value-added incentives, as well as structured supports, on teacher retention and student achievement. The report found no significant evidence that the program significantly impacted student achievement growth or teacher retention rates after two years of
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

reimagined undergraduate music education program at ASU. The new program is built upon four core principles: flexible musicians, innovative practitioners, inquisitive thinkers, and community leaders, with a focus on synthesis, distributed practice, and inquiry learning in all courses. A shift is needed from the paradigm of a music specialist (such as band, orchestra, chorus director), to a music educator who is capable of successfully teaching in a multitude of settings. I conceptualize the Music Teacher Preparation 2.0 to also think critically about race and its role in teacher preparation. What does it mean to be a White teacher teaching in a predominately Black school and vice versa what does it mean to be Black teaching in a largely White setting? How do teachers take into consideration the culture of their students when programming music for concerts, communicating to parents, planning events? In Music Teacher Preparation 2.0, conversations during university training will require both music teacher educators and students alike to critically examine their beliefs, but also explore ways to be more inclusive. This can be achieved by setting aside the traditional ways in which we view music education and open our eyes to new possibilities by exploring music of other cultures and the ways in which these cultures interact with music.
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

As teachers look for answers in the educational evaluation of exceptional learners in our schools, we find many challenges. Similarly, an art museum docent will incur these same challenges, some to a greater degree because their interactions with students on field trips are brief with no prior relationship. An inclusive classroom places many demands on an educator. Managing a group of students in an inclusive learning environment means providing access to the material for all cognitive abilities and styles within each lesson, discussion, and activity. In this study my approach to creating and managing an inclusive learning environment is differentiated education. Differentiated education offers a student centered practice of teaching to individualize the learning while still connecting with the whole group. The conflicts that arise have been found to reach beyond the instructor and are also experienced by students not categorized as exceptional (Jung & Guskey, 2012). The population of students without special needs, commonly referred to as “neurotypical,” have expressed a feeling of differentiated instruction and assessment as being unfair (Jung & Guskey, 2012). This seems a natural reaction to certain students being deemed as deserving “special” considerations and serves as a reminder that inclusivity serves all students without hyper focus on those who need more accommodations to be successful.
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Advances in “deep learning” algorithms have led to intelligent systems that provide automated classifications of unstructured data. Until recently these systems could not provide the reasons behind a classification. This lack of “explainability” has led to resistance in applying these systems in some contexts. An intensive research and development effort to make such systems more transparent and interpretable has proposed and developed multiple types of explanation to address this challenge. Relatively little research has been conducted into how humans process these explanations. Theories and measures from areas of research in social cognition were selected to evaluate attribution of mental processes from intentional systems theory, measures of working memory demands from cognitive load theory, and self-efficacy from social cognition theory. Crowdsourced natural disaster damage assessment of aerial images was employed using a written assessment guideline as the task. The “Wizard of Oz” method was used to generate the damage assessment output of a simulated agent. The output and
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Learning to write is a vital part of education, and writing ability is a component of many major assessments that students take throughout school. For example, the Georgia Milestones Assessment System includes an essay component in every tested grade level of English Language Arts assessments as well as constructed-response items at all tested grade levels of English Language Arts and math assessments (Georgia Department of Education, 2018). Thus, the ability to demonstrate knowledge through writing is a necessary component of academic success. Learning to write is a long process that begins well before most students take standardized assessments, and formal writing instruction is already well underway for most kindergarten children (e.g., Puranik, Al Otaiba, Sidler, & Greulich, 2014). However, writing is a complex process that requires the coordination of many different skills (Berninger, Cartwright, Yates, Swanson, & Abbott, 1994; Berninger, Nagy, & Beers, 2011; Juel, Griffith, & Gough, 1986; Puranik, Boss, & Wanless, 2019), so teaching children to write involves supporting and instructing them in many different skills. Understanding exactly which skills contribute to writing outcomes and in what way they contribute is important for determining how to facilitate writing ability.
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Play provides academic benefits for young children, including the development of math and literacy skills, as well as creative thinking. Children engage with patterns and shapes during play, as well as enumeration and magnitudes, among other mathematical concepts. Block play and puzzle play has been shown to support geometry learning, numbering, and patterning, while game play has been shown to support number development and counting (Wager & Parks, 2014). Symbolic play, meanwhile, is related to developing phonological awareness (Bergen & Mauer, 2000), which is an important predictor for later reading ability. Pretend play, in which children use verbal and nonverbal modes to depict events, facilitates narrative recall and retelling (Stagnitti & Lewis, 2015) and is associated with children’s abilities to provide more complex narratives (Kim, 1999). Likewise, Weisber, Zosh, Hirsh-Pasek, and Golinkoff (2013) argued that play promotes children’s development of language skills, especially when adults not only guide play but prioritize children’s interests and follow their lead. Play supports creative thinking and problem solving (Robson & Rowe, 2012; Whitebread et al., 2009). Robson and Rowe’s (2012) analysis of the pretend play episodes of two- and three-year-olds showed high levels of
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

I'd definitely say a lot of it was revolving being a girl child. So it's just a lot of sexism, a lot of misogyny, and I was kind of always just arguing with my parents, ‘So, why don't I get to do that?’ Or just expectations, and it's what kind of led to me becoming a feminist is probably my upbringing because I just kind of felt tired of the expectations and kind of the ways that-- I'd say girls, particularly older girls, are kind of treated as pack mules. So they just kind of do everything. They handle everybody's emotional labor. -Nicole, Somali, 23 I don't see marriage as the thing that-- the all-important life event that I was kind of brought up to think it was….I don't think being in a relationship with a man is going to complete me or my worth is really determined on my proximity to men. I'd say just being selfish is a big thing that I'm learning to be okay with. I didn't really get to be selfish growing up, and I want to live life for myself and not for my parents and, that it's okay to be selfish. Women never get to be selfish and that needs to change. –Nicole, Somali, 23 I would buy clothes, and then my mom would be like, ‘Why did you buy that? A woman is not supposed to wear that, blah blah blah.’ And then obviously that kind of dialogue opens up to more like, when I've come home late or whatever, my mom goes like a woman's not supposed to be out late like this, or whatever. And I always had a problem with that
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

This thesis examined the question of how the visual arts, in this case through puppet-making, can contribute quality experiences to the life of young refugee children in terms of promoting their cognitive, communication, and social-emotional development. The research findings not only supported this concept, but also showed how the visual arts can provide children with a safe space to constructively express their feelings and ideas in ways that encourage creativity and meaningful learning in the process. These findings were also supported by an informal trial I carried out with a three-year-old using the methods and approaches detailed herein, the puppet- making process and outcomes are shared in the ‘reflections’ section below. This informal trial and the resources I reviewed on the topic, along with my personal background experience, guided the development and design of the guidebook for developing a puppet-making workshop with young refugees, which specifically targets young children’s cognitive, communication, and social-emotional skills through puppetry. The methods outlined in this thesis set the parameters by which the guidebook was developed, and the discussion section elaborated on the processes involved at every stage of implementation. However, moving forward, there remain a few points to take into consideration with regards to (a) the anticipated outcomes, (b) adaptations across different age groups and languages, and (c) research limitations and future implications.
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Thus, it is clearly understood that online spaces definitely provide a great opportunity for ELs, especially for who cannot actively participate in communications and discussions due to a relatively quick turn in conversations. Not only for ELs, but also for other literacy educators, online learning space can provide many valuable learning and communication opportunities. As many researchers presented various technology and online learning tools and the importance of using those various literacy forms, it is now important to look more detailed about the technology itself that can make it possible for students to use, especially, what they use for those online literacy activities in the current era. Computers including portable laptops served as a medium that students engaged in social and literacy practices using blogs, wikis, and text messages. Now, the computer and online technology world continue to evolve rapidly with vast improvements in new devices such as smartphones, iPads, and other tablet PCs (Godwin-Jones, 2008). Thus, educators’ attention to computer-mediated online learning and social interaction has now moved towards the domain of mobile phone learning (Godwin-Jones, 2008). With this change, many educators have become very interested in the learning benefits that mobile devices can bring to students in classrooms through various features (Banister, 2010; Chen & Huang, 2010). Thus, in the next section, I will explain mLearning and mobile devices in ELs’ life and related studies show how mobile devices can help ELs and general literacy practices of learners. M-Learning and Online literacy Studies in L2: Learning Tools for ELs
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Network Function Virtualization (NFV) separates software instance from hardware plat- form and decouples the functionality to provision more flexible and faster network service while transforming the management of underlying network infrastructure by leveraging the virtualization technology [6]. Essentially, NFV implements and runs network functions (i.e., well-defined functional behavior such as firewall, deep packet inspection, virtual private net- work, etc.) on the hardware (i.e., industry standard servers, storage and switches) through software virtualization, as shown in Fig. 1.2. To implement lower cost agile network infras- tructure as an innovative step, the benefits of NFV can dramatically change the landscape of telecommunications industry. The NFV may reduce capital investment and energy consump- tion by consolidating networking appliances, decrease the time to market of a new service by changing the typical innovation cycle of network operators (e.g., through software-based service deployment), and rapidly introduce targeted and tailored services based on customer needs.
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Leveraging TSP Solver Complementarity through Machine Learning

Leveraging TSP Solver Complementarity through Machine Learning

Pihera. The set of all 287 features from the study by Pihera and Musliu (2014), which includes the UBC feature set as well as several groups of additional features. New ge- ometric features include statistics of the edge lengths of the convex hull and the dis- tances of internal points, i.e., points not located on the convex hull, to the edges of the convex hull. New local search probing features include the number of tour inter- sections of locally optimal tours in the plane and statistics of disjoint tour segments obtained by eliminating a small fraction of the longest edges in the tour. Lastly, the k-nearest-neighbor (k-NN) graph of the TSP instance served as a source for an exten- sion of nearest-neighbor features: the normalised size, as well as summary statistics of the strongly and weakly connected components of the (un)directed k -NN graphs for dif- ferent values of k ∈ {3 , 5 , 7 , n 1 / 3 , 2 · n 1 / 3 , 0 . 5 · n 1 / 2 , n 1 / 2 }, which hence are either constant
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

En conséquence, ces esclaves ne sont pas nés d'Afrique mais de l'océan Glissant.Cette théorie de Glissant nous permettra d’analyser le trope de la mer dans Des pieds mon pied, et son imp[r]

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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Underground Storage Organs, or USOs, are the fallback food proposed by Laden and Wrangham (2005) which drove the divergence of early hominins. USOs are roots and other parts of plants which function primarily in nutrient uptake. Tubers, corms, rhisomes, and bulbs are examples of USOs. These organs have much variability, both between and within plant species, and this wide variation is due to evolutionary processes. This change is for the plant to have a better chance of survival. This variation of USOs allows plants to live in harsh environments as successfully as they live in more temperate climates, and through annual seasonal changes. These adaptations allow them to exist in the wet rainforest as efficiently as the dry savanna. Comparative analysis of the variation in USOs within these differing environments shows that USOs are less diverse in areas with consistent heavy rainfall, and most diverse in areas with longer dry seasons, such as in savannas where P. robustus and other hominins are thought to have lived (Singels et al., 2016).
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Mediterranean, from the beginning of the twentieth century to the aftermath of the First World War. Campaigns to eradicate tropical diseases shaped practices of bio-power, focused on removing threats to trade and U.S. whites and improving worker efficiency through sanitary surveillance of Blacks, Hispanics and poor whites. The first section “Quarantining the Tropics” describes outbreaks of yellow fever and campaigns to eradicate the disease, carried out in U.S. occupied Cuba and Panama and in the banana importing and exporting ports of the U.S. Gulf South and Central America. Public health policies sought primarily to safeguard commercial shipping and eradicate a disease fatal to whites from the temperate zone, ignoring diseases deadlier to local populations. The second section “Treating the Ills of the Tropics” examines campaigns against hookworm and malaria. These debilitating diseases, which reinforced perceptions of “tropical” peoples, at home and overseas, as backward, lazy and in need of surveillance and civilizational uplift. It describes efforts by the Rockefeller Foundation to
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

However, receptors such as TLR2 and dectin-1, evolved to recognize conserved components of fungi (Kawai and Akira, 2011). There is also a division of labor in the recognition of gram-positive and gram-negative bacteria, with TLR4 recognizing LPS on gram-negative bacteria and TLR2 recognizing cell wall components present on gram- positive bacteria (Takeuchi et al., 1999). Activation of each individual receptor triggers a unique inflammatory cascade that has unique effects on the host, some broadly “anti- inflammatory” and some “pro-inflammatory” (Kawai and Akira, 2011). Also, through cross-talk of induced cytokines and receptor oligomerization, receptors interact with each other to propagate specific anti-microbial responses. How these various subsets of the immune system affect the adult CNS and specifically vagal efferents is unknown, as very little work to-date has characterized immune receptor signaling and proximal and distal vagus nerve activation by various non-TLR4 gut innate immune receptor
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

Throughout the seventeenth century, providential evidence continued to be crucial in the process of apprehending and convicting murderers. However, over the course of time there seems to be a shift in God’s choice of agents. While pamphlets from the late sixteenth and early seventeenth century told stories of dogs, ravens, and “dumb” witnesses, authors writing in the latter part of the century increasingly recorded God’s work through human actors. The story of John Talbot’s murder seems to unintentionally illustrate this transition: although God did cause the dogs to bark, their barking was not what caused the crime to be discovered. Rather, it was the human brick-makers who detected the murder. While some historians have argued for the decline of God’s intervention on earth in the aftermath of the Reformation, Alexandra Walsham has shown that providentialism, the belief that all of the events on Earth were controlled by God, persisted well into the seventeenth century. 193 In her examination of popular print concerning a
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

All four constructs (financial, environmental, social, and governance) are analyzed to achieve stakeholder value through overall corporate sustainability performance. Analysis of corporate sustainability results may be used to modify a corporation’s overall CSR strategy and related business activities according to long-term goals. Corporate leaders must leverage analytical results and their position of power to make decisions that increase effectiveness of corporate sustainability (Li, Li, & Minor, 2016). Due to the level of community consideration, sustainability is considered an area of opportunity for aspiring female corporate leaders to gain a competitive advantage in a male-dominated global business market.
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Collaborative Edge Computing in Mobile Internet of Things

Collaborative Edge Computing in Mobile Internet of Things

occurrence of M. bealei at the 15 sites ranged from 0 to 291 individuals, with a mean of 47 and a median of 14, and notably, individuals were not restricted to the edge of the woodlots but were found up to 61 meters in the forest interior. This dispersal pattern indicates that M. bealei not only capitalizes on disturbed areas for establishment but also that disturbed areas serve as conduits for invasion deep into natural habitats, where it can flourish and displace native plants. By estimating the age of the plants, Allen et al. 2006 was able to gauge the intensity of the invasion and determined that rapid population growth can be expected, and the invasion was in the early stages of aggressive expansion.
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