Abílio C. Da Silva Júnior – Aloísio V. Lira Neto – Victor Hugo C. De Albuquerque
Universidade de Fortaleza
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Roberto Munoz
Universidad de Valparaíso
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María De Los Ángeles Quezada
Instituto Tecnológico de Tijuana
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Mohammad Mehedi Hassan
King Saud University
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Abstract: The scarcity of the planet’s water resources is a concern of several international entities and governments. Smart solutions for water quality monitoring are gaining prominence with advances in communication technology. This work’s primary goal is to develop a new online system to monitor and manage water resources, called Internet of Water Things (IoWT). The proposed system’s objective would be to control and manage raw water resources. Thus, it has developed a platform based on the server-less architecture and Internet of Things Architectural Reference Model, in which it is applied in a simulation environment, considering several electronic devices to validate its performance. For this research, there is a system for capturing raw water from tubular wells. Each well has a level sensor, a temperature sensor and a rain gauge. The data is collected every minute by an electronic device and sent every hour to the IoWT system. From data analysis, the amount of memory allocated to functions minimally interferes with efficiency. The IoWT system, applied in a real case, consists of connecting a device installed in a water well to the platform, where the data is transmitted through a 3G network and then processed. Thus, the proposed approach has great potential to be considered a complementary tool in monitoring raw water and assisting in decision-making for the management of water resources.
Supercomputing plays a crucial role in academic research by providing researchers with the computational power needed to perform complex and data-intensive tasks that are beyond the capabilities of standard computers. These advanced computing systems offer significant benefits and opportunities for researchers across various disciplines. Here are some key roles that supercomputing fulfills in academic research:
Simulation and Modeling: Supercomputers are used to simulate and model complex phenomena that cannot be easily replicated in real-world experiments. This is particularly important in fields like physics, chemistry, climate science, and engineering. Researchers can simulate the behavior of materials, climate patterns, particle interactions, and more, enabling a deeper understanding of natural processes and guiding experimental design.
Big Data Analysis: In many academic disciplines, researchers are dealing with vast amounts of data generated from experiments, observations, or simulations. Supercomputers excel in processing and analyzing big data, extracting valuable insights, and identifying patterns or correlations that would be difficult or impossible to detect using traditional computing resources.
Genomics and Bioinformatics: Supercomputing plays a vital role in genomics and bioinformatics research. Analyzing and comparing genomic data from various species or individuals requires immense computational power. Supercomputers help researchers analyze DNA sequences, identify genes associated with diseases, and explore the complexities of biological systems.
Drug Discovery and Computational Biology: Supercomputers are instrumental in drug discovery and computational biology, where researchers use simulations to understand how drugs interact with target proteins or predict the structure of complex biological molecules. These simulations help in the development of new drugs and therapies.
Astrophysics and Cosmology: Supercomputing is used to simulate the behavior of galaxies, stars, and the universe as a whole. Astrophysicists and cosmologists rely on supercomputers to model the evolution of celestial bodies, study cosmic events, and explore the mysteries of the universe.
Machine Learning and AI Research: Supercomputers accelerate research in artificial intelligence (AI) and machine learning by providing the computational power needed to train large-scale models and algorithms. This is critical for applications like natural language processing, image recognition, and autonomous systems.
Optimization and Data-Driven Decision Making: In various fields, supercomputing enables optimization problems to be solved more efficiently, leading to data-driven decision making. This is relevant in areas such as logistics, transportation, finance, and operations research.
Climate and Environmental Studies: Supercomputers are extensively used in climate and environmental research to model climate change, weather patterns, and the impact of human activities on the environment. These simulations help in understanding and mitigating the effects of global warming and other environmental challenges.
A small, entry-level supercomputer designed for academic or research purposes might cost around $500,000 to $1 million. These systems typically have modest computing power and are used in smaller research institutions or organizations with limited budgets.
Mid-range supercomputers with more significant computational capabilities can cost anywhere from $1 million to $10 million. These systems are often used in larger research institutions, national laboratories, and universities for advanced scientific simulations, big data analysis, and AI research.
At the high end, the most powerful and cutting-edge supercomputers, known as “exascale” systems, can cost several hundred million to over a billion dollars. These machines are at the forefront of technology and are typically used for groundbreaking research in areas like climate modeling, nuclear research, drug discovery, and national security applications.
“Things aren’t all so tangible and sayable as people would usually have us believe; most experiences are unsayable; they happen in a space that no word has ever entered, and more unsayable than all other things are works of art, those mysterious existences, whose life endures beside our own small, transitory life.”
Owing to the complexity of the domain, starting 2023 we will break down the standards for education community safety and sustainability into two separate colloquia — Kitchens 100, Kitchenettes 200, and Kitchens 300.
Kitchens 100 will deal with fire safety and ventilation
Kitchenettes 200 will deal with small multi-appliance installations in commercial occupancies; typical in education communities
Kitchens 300 will deal with sustainability criteria. Kitchens 100 will deal primarily safety.
Today we explain the results of our status check on kitchen safety literature; starting with US-based standards developers; among them:
With illumination technology an essential part of the safety of audiences and subjects, and the quality and character of art and entertainment events, we follow best practice titles published by the Illumination Engineering Society; its library linked below:
Anyone who has ever purchased a ticket for a Broadway (New York) performance event, may understand (in dollar terms), the complexity of these events and the transfer cost to design, build, operate and maintain the complex electrotechnologies that make them successful. We see many changes to the firmware governing event technologies crossing our radar.
Our interest today lies in IES DG-20 Stage Lighting – A Guide to Planning of Theatres and Auditoriums.updated to add content for stage lighting controls; interfacing with networks, house light design, control, and performance including emergency lighting, stage worklight and cue light systems; LED and automated stage lighting instruments; power distribution for stage and house lighting systems; and future proofing systems. A related title — IES RP-41 Recommended Practice: Lighting Theater, Auditorium, and Worship Spaces — also noteworthy for its applicability in other cultural occupancies in education communities
There are no live consultations in the IES bibliography for either of these titles at the moment. When there are you may find them at the link below.
We always encourage our colleagues to participate directly in the IES standards development process. CLICK HERE to get started. You may also communicate directly with IES staff about securing the review drafts (Contact Albert Suen, asuen@ies.org).
Because of the ubiquity of lighting technology IES titles are on the standing agenda of several of our periodic teleconferences — Power, Healthcare, Sport and Lively Art colloquia. We collaborate closely with experts on the IEEE Education & Healthcare Facilities Committee. See our CALENDAR for the next online meeting; open to everyone.
Issue: [14-110]
Category: Electrical, Arts & Entertainment, Lighting
It is well-documented that in the United States, there is a correlation between areas with colleges or universities and a higher likelihood of voting for Democratic candidates. Several factors contribute to this phenomenon:
Youth vote: College towns typically have a higher concentration of young people who tend to lean more towards progressive or Democratic policies.
“Progressive” is a misnomer. Weimer Germany was progressive. Eugenics, promoted by Margaret Sanger, is also “progressive”. The word progressive is not progressive at all if you are serious about living in peace in a civilized culture.
2. Education levels: Counties with colleges and universities often have higher levels of education, and education has been shown to be positively correlated with Democratic voting patterns.Students are not taught the founding principles about the United States cultural and economic success.
Gender: About 2/3rds of women of voting age vote for Democrat candidates who tend to support expanded social services.
Diversity and openness: College towns and campuses tend to be more diverse and open-minded, which aligns with Democratic values and policies.There is no diversity of thought; only diversity of complexion
Research and funding: Universities often rely on federal research funding, and Democratic policies may be seen as more supportive of funding for education and research.
That’s for sure. The larger the university research funding, the more virulent the community.
Urban vs. rural divide: Colleges and universities are more likely to be found in urban or suburban areas, which generally lean more Democratic, while rural areas tend to lean more Republican.
The rural divide hews to belief in personal responsibility, limited government, fiscal conservatism and no infanticide. Urban dwellers believe quite the opposite. Not only that, they are inured to facts and reason. Urban dwellers resemble a tribe, with a likely genetic connection to packs of hyenas.
It’s important to note that these are general trends, and there can be significant variations between different regions and specific colleges or universities.
For up-to-date and more specific research on this topic, you may refer to recent studies or analyses conducted by political scientists, research institutions, or polling organizations. Academic journals and reputable news sources may also have in-depth analyses of voting patterns in relation to education and geographic location.
Half the US population lives in the red counties, the other half in the gray counties. Draw your own conclusions.
The Control of Noise at Work Regulations came into force for all industry sectors in Great Britain on 6 April 2006 (except for the music and entertainment sectors where they came into force on 6 April 2008). The aim of the Noise Regulations is to ensure that workers’ hearing is protected from excessive noise at their place of work, which could cause them to lose their hearing and/or to suffer from tinnitus (permanent ringing in the ears).
The level at which employers must provide hearing protection and hearing protection zones is 85 dB(A) (daily or weekly average exposure) and the level at which employers must assess the risk to workers’ health and provide them with information and training is 80 dB(A). There is also an exposure limit value of 87 dB(A), taking account of any reduction in exposure provided by hearing protection, above which workers must not be exposed.
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwBpic.twitter.com/GkAXrHoQ9T
