The 5 Takeaways from the Coyotes introduction of

first_img The 5: Takeaways from the Coyotes’ introduction of Alex Meruelo Top Stories 0 Comments   Share   Former Cardinals kicker Phil Dawson retires Derrick Hall satisfied with D-backs’ buying and sellingcenter_img Grace expects Greinke trade to have emotional impact The Arizona Cardinals announced they have signed running back Robert Hughes to the practice squad. Hughes signed with the Chicago Bears as an undrafted free agent out of Notre Dame in 2011, played in six games over the past two seasons with the Indianapolis Colts. He had one carry for five yards and two catches for nine yards. After being released by the team following training camp, he re-signed with the club and played in one game before heading back to the practice squad. The Colts released him on Dec. 17. In a corresponding move, the Cardinals released linebacker JoJo Dickson. last_img read more

Riskbased optimization scheme boosts confidence and profitability for future mixedtechnology power plants

Provided by KAUST A scheme to balance risks may help realize the benefits of being able to combine complementary power technologies, such as thermal generation, wind power and energy storage. Such benefits include lower capital costs and more responsive and reliable energy delivery while leveraging renewable energy technologies Optimizing the operation of a mixed-technology power plant is vital to make such power generation profitable and reliable. However, this is far more complex than for single-technology units due to the simultaneous fluctuations in generation caused by inconsistent wind, for example, as well as fluctuations in energy storage levels and market electricity prices. While optimization schemes have been proposed for such virtual power plants (VPPs), the existing approaches take a rigidly risk-neutral approach to dealing with uncertainty in future conditions. Now, by integrating risk parameters into an efficient optimization program for VPP operation, Ricardo Lima and colleagues Omar Knio and Ibrahim Hoteit from KAUST have developed a platform that allows the system to be tweaked for better reliability and profitability. “Renewable energy resources are inherently uncertain,” explains Lima. “The operation and interaction of these resources with the electricity market brings uncertainty about how to best maximize profit.” Furthermore, “this methodology enables us to capitalize on wind ensembles from weather forecast models, accounting for the uncertainties inherent in future projections,” says HoteitThe problem considered by Knio’s team is the optimization of operations and electricity market participation for a VPP comprising a thermal unit, such as a conventional gas-fired power plant, a wind farm and a pumped storage hydro unit for energy storage. The goal of the calculation is to predict the optimal energy output of the thermal unit and input/output from the hydro unit, with consideration for fluctuating wind conditions and electricity price in the market, which will optimize profit over the next few hours. “The key issue for optimization is always the balance between level of detail of the model and the capacity for obtaining optimal solutions from it,” says Lima. “In this work, we propose efficient approaches to solve large problems and push the limits of the problem sizes we can solve in reasonable computational times.”This is a large-scale calculation problem with many variables even before the inclusion of risk, which presents significant challenges for finding the most accurate solution. To be able to consider the additional complexity of risk, the team had to develop an efficient calculation scheme, which they achieved by calculating the two parts in parallel. The result is a framework that can accommodate both conservative risk-avoidance and aggressive risk-seeking approaches to maximize VPP profits.”Our optimization model supports the calculation of risk-averse decisions that hedge against low profits due to the uncertainty in future wind-power generation and electricity prices,” says Lima. Explore further Using an algorithm to reduce energy bills—rain or shine The challenge is the optimization of operations and electricity market participation for a VPP comprising a thermal unit, such as a conventional gas-fired power plant, a wind farm and a pumped storage hydro unit for energy storage. Credit: Xavier Pita Citation: Risk-based optimization scheme boosts confidence and profitability for future mixed-technology power plants (2018, April 13) retrieved 18 July 2019 from https://phys.org/news/2018-04-risk-based-optimization-scheme-boosts-confidence.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. read more

New program picks out targets in a crowd quickly and efficiently

first_imgIt can be harder for computers to find Waldo, an elusive character that hides within crowds in a popular children’s book series, than it is for humans. Credit: CC0 Public Domain Tweaking tools to track tweets over time Provided by Agency for Science, Technology and Research (A*STAR), Singapore Citation: New program picks out targets in a crowd quickly and efficiently (2019, February 22) retrieved 17 July 2019 from https://phys.org/news/2019-02-crowd-quickly-efficiently.html Journal information: Nature Communicationscenter_img Now, an A*STAR researcher and her colleagues have developed a biologically-inspired program that could enable computers to identify real-life Waldos and other targets more efficiently.Computer image analysis is routinely used in medicine, security, and rescue. Speed is often critical in these efforts, says Mengmi Zhang, a computer scientist at A*STAR’s Institute for Infocomm Research, who led the study. She cites the use of computers to help find victims of natural disasters, such as earthquakes.But these efforts are often hampered because computers lack human intuition. A person can quickly spot a dog in a crowded space, for instance, even if they have never seen that particular dog before. A computer, by contrast, needs to be trained using thousands of images of different dogs, and even then, they can falter when looking for a new dog whose image they have not encountered previously.This weakness could be particularly problematic when scanning for weapons, says Zhang. A computer trained to look for knives and guns, might overlook another sharp object. “If there is one sharp metal stick which has not been seen in the training set, it doesn’t mean the passenger should be able to take it on board the airplane,” says Zhang.Current computer searches also tend to be slow because the computer must scan every part of an image in sequence, paying equal attention to each part. Humans, however, rapidly shift their attention between several different locations in an image to find their target. Zhang and her colleagues’ wanted to understand how humans do this so efficiently. They presented 45 people with crowded images and asked them to hunt for a target, say, a sheep. They monitored how the subjects’ eyes darted around the scene, fixating briefly on different locations in the image. They found that, on average, people could locate the sheep in around 640 milliseconds. This corresponded to switching the location of their gaze, on average, just over two and a half times.The team then developed a computer model to implement this more human-like search strategy in the hunt for a dog. Rather than looking for a target that was identical to an image of a dog given beforehand, the model was trained to look for something that had similar features to the example image. This enabled the model to generalize from a single dog image, to the “general concept of a dog,” and quickly pick out other dogs it had not seen before, explains Zhang.The researchers tested how effective the new computer visual search model was by measuring the number of times the computer had to fixate on different locations in a scene before finding its target. “What surprises us is that by using our method, computers can search images as fast as humans, even when searching for objects they’ve never seen before,” says Zhang. The computer was even as good as humans at finding Waldo.The team is now programming their model with a better understanding of context. For example, humans naturally understand that a cup is more likely to be sitting on a table than floating in the air. Once implemented, this should improve the model’s efficiency even further, says Zhang, adding, “Waldo cannot hide anymore.” More information: Mengmi Zhang et al. Finding any Waldo with zero-shot invariant and efficient visual search, Nature Communications (2018). DOI: 10.1038/s41467-018-06217-x This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. Explore furtherlast_img read more

Yayasan Tun Rahah seeks to settle dispute in 1MDB case

first_img Nation 09 Jul 2019 Witness says Najib signed memo transferring SRC International ownership to MOF Inc on car bonnet Lawyer Amin Othman, who represented Yayasan Rahah, confirmed that the letter was sent. The court then fixed July 26 for mention. When met by the press, Nik Haslinie said two more respondents – Pekan Umno and Pekan Umno education bureau chairman Datuk Ibrahim Awang Ismail – would be applying to strike out the forfeiture suit against them on grounds of merit and technicality.Earlier, the court allowed the prosecution to publish a notice for third parties with interests in assets seized from four respon­dents.The four were Kedah Umno, Maran MP Datuk Seri Dr Ismail Abd Muttalib, Sarawak United People’s Party and Habib Jewels Sdn Bhd.MACC chief Latheefa Koya recently said forfeiture suits were brought against 41 respondents to recover about RM270mil of 1MDB funds allegedly channelled to the respondents through Najib’s bank account.She said the action was taken under the Anti-Money Laundering and Anti-Terrorism Financing Act. KUALA LUMPUR: Yayasan Tun Ra­­hah, a scholarship foundation founded by Datuk Seri Najib Razak’s mother, is looking to settle a dispute with the government over its application to forfeit assets relating to 1Malaysia Development Bhd (1MDB). Deputy Public Prosecutor Nik Haslinie Hashim told High Court judge Justice Mohd Nazlan Mohd Ghazali that the foundation had sent a letter dated July 9 regarding a settlement offer. “We have received the letter from the respondent regarding a settlement.“We ask for a short date for us to refer the letter to the legal department of the Malaysian Anti-Corrup­tion Commission (MACC),” she said here yesterday. 1MDB Related News Nation 09 Jul 2019 Najib’s 1MDB trial to start on Aug 19center_img Nation 08 Jul 2019 High Court rejects AG’s application to postpone Najib 1MDB trial, to start on Aug 19 Tags / Keywords: Related News {{category}} {{time}} {{title}}last_img read more

After LS poll Congress faces financial crisis Unpaid salaries cost cutting become norm

first_img Next Kumar Vikrant Singh New DelhiJuly 13, 2019UPDATED: July 13, 2019 14:47 IST After his party’s failure in the 2019 Lok Sabha elections, Rahul Gandhi stepped down as Congress president. (Photo: Getty Images file)HIGHLIGHTSCongress asks NSUI, women’s wing, others to cut expensesMany workers have not received salaries for past months20 members of social media team have left since election resultsResults of the 2019 Lok Sabha elections have not only hit the Congress just electorally but the party is also facing financial crisis. Many wings are reportedly facing difficulties in running their operations. Sources in the Congress party say some departments have already been asked to cut their expenses.The party has reduced the monthly budget of Congress Seva Dal from Rs 2.5 lakh to Rs 2 lakh.Similarly, the Congress has asked its women’s wing, NSUI and Youth Congress to explore ways to reduce their expenses.Speaking to India Today TV, Congress sources said deliberations are on within the party whether it needs the data intelligence wing anymore. Beside this, many who are working at the Congress headquarters have not received their salary for some months now.The financial crisis in the Congress can also be understood from the fact that 20 people who were part of Congress’s social media team, have resigned after Lok Sabha election results were announced on May 23. There were 55 members in the teams but at present there are only 35.Sources say those who are still working in the social media team get delayed salaries. The party’s media team too is in a similar state.The 2019 Lok Sabha election results announced Congress’s second-worst performance in general elections. It was able to win only 52 of the 542 seats where elections were held. In 2014, the Congress had won 44 seats.ALSO READ | Karnataka crisis: Leaderless Congress becoming easy target? What it could have learnt from BJP | OpinionALSO READ | BJP toppling govts with money power, threats: Rahul GandhiALSO READ | Goodbye, Rahul Gandhi?ALSO WATCH | Will fight 10 times harder than I did in past 5 years, says Rahul GandhiFor the latest World Cup news, live scores and fixtures for World Cup 2019, log on to indiatoday.in/sports. Like us on Facebook or follow us on Twitter for World Cup news, scores and updates.Get real-time alerts and all the news on your phone with the all-new India Today app. Download from Post your comment Do You Like This Story? Awesome! Now share the story Too bad. Tell us what you didn’t like in the comments Posted byMukesh Rawat Tags :Follow congressFollow Rahul Gandhi After LS poll Congress faces financial crisis. Unpaid salaries, cost cutting become normCongress has reduced monthly budget of Congress Seva Dal from Rs 2.5 lakh to Rs 2 lakh. It has asked its women’s wing, NSIU and Youth Congress to explore ways to reduce their expenses.advertisementlast_img read more