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kottcakes-but-jazzy · 2 years

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HELLO EVERYONE SORRY FOR BEING DEAD-

Anyways in honor of buwan ng wika have the s1ep1 butterfly family portrait but in traditional filipino clothes <3

**background isnt mine btw its from the show and i just edited my drawing onto it

#context: buwan ng wika takes place in august and is dedicated to celebrating filipino culture #so before august ends im yeeting it here🏃‍♀️❤#moon is wearing a maria clara star is wearing a barot saya and river is wearing a barong tagalog #svtfoe #star vs the forces of evil #art #digital art #star butterfly #moon butterfly #river johansen #buwan ng wika

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scooterpengie · 1 year

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Can you drawing star meeting young/teen moon* and also marco meeting young/teen river?

*star loving to touching with young/teen moon's long straight strands that would hang in front of her ears during laying down on bed inspired by dakimakura?

Here you go! Ignoring the second part because I'm getting a bit weirded out by all these hair touching requests (please don't send any more! 😤)

This is inspired by that comic where Star and Marco go back in time and meet Star's parents as teens (I can't remember what it's called)

#star vs the forces of evil #svtfoe #star butterfly #marco diaz #moon butterfly #river johansen #my art #requests #anonymous #asks #this is like the 4th hair request from that anon

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scottpetersen · 3 months

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It occurred to me that each thing Star found in the wand that belonged was something that also belonged to a loved one. After all, Star found a hoodie that belonged to her best friend and crush, Marco Diaz, found Lil’ Chauncey who belonged to her mother, Queen Moon and found a chair that belonged to her father, King River. But the thing that Star found that didn’t belong was Toffee’s finger which belonged to her enemy, Toffee.

#disney #star vs the forces of evil #star butterfly #marco diaz #moon butterfly #queen moon #lil’ chauncey #river johansen #king river #toffee

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crispyafterdark · 1 year

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“Diaz Family Vacation” brings us a two-for-one special! A shirtless scene of both Star and Marco’s fathers.

#star vs foe #star vs the forces of evil #shirtless #muscular #king butterfly #king river butterfly #river butterfly #rafael diaz #diaz family vacation #river johansen

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punk-63 · 1 year

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#moon butterfly #river johansen #star vs the forces of evil

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holdingontodust · 2 years

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A lil MildRiver to wrap up tonight’s reposts from twitter

#Mildriver #river johansen #Count Mildrew #Holding onto Dust #I will sail this tiny tugboat all by myself if I have to #They're gay. I said so

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sitting-on-me-bum · 7 months

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“The River Crossing”

“Wildebeest crossing the crocodile-infested Mara River, July 2022.”

2023 Sony World Photography Awards

#arnfinn johansen #photographer #norway #wildebeest #animal #mammal #wildlife #mara river #sony world photography awards #nature

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majkemaniiia · 19 days

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MoonRiver (I am coining the name) actually idk why it just appeals to me in the little glimpses we get

This is reminding me to post the one-shot of them I started writing in March and never finished 😅 But in seriousness, I really should mention River more. I actually think he's kind of charming, if not a bit too silly, in canon. Is he my (writer's) type? Mmmm, not particularly. But he is Ride or Die for his wife, and I can appreciate that. At least most of the time.

They complement each other, him having a bit more levity to her seriousness. At least in Mjaunie. I think Moon's learning to loosen up a bit in Swynlake, and that makes me happy. She's less stiff and formal, and tbh, that might help her and River's relationship because right now it is a little strained ^^;;;

Note to self: Publish Moon's Mjaunie adventures from Late March.

#post: other muses #ch: menodora butterfly johansen #/ i don't know why i tag her that way i should just say moon lol #/ also river might be silly but at least my moon muse finds him overly charming #/ more than myself #/ they complement each other and that's what matters

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lovelylanternz · 6 months

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SVTFOE TEENAGER CONCEPT DESIGNS

WEWOWOOOO characters from left to right:: Moon Butterfly - Toffee Septis - Rasticore Chaos Vain - River Johansen further references will be posted when finalized!

#svtfoe #star vs the forces of evil #toffee of septarsis #rasticore #svtfoe rasticore #star vs the force of evil season 3 #moon butterfly #moon star vs

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thefvrious · 4 months

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full name: star butterfly nicknames: n/a birthday: january 3 age: twenties gender/pronouns: cis-female; she/hers hometown: mewni sign: capricorn religion: irreligious orientation: pansexual occupation: interdimensional traveler/queen-in-training family: river johansen (father), moon butterfly (mother) +: energetic, friendly, optimistic, courageous -: eccentric, self-absorbed, reckless, stubborn wiki link

#star butterfly #star butterfly ~ about #fc meme

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wbemipre1997 · 2 years

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Hey, aweirdlatina & @discount.supervillain & @chibicmps, @daronnefcy, @ninjamac & @eden_sher, @disneychannel, @arythusa, @disneytva @disneyplus @reddit @changedotorg @movimientosvtfoe @disneyplus5seasonrenewed @moringmarkugh Guess What, I made The New One, It's Grandmother Moon Butterfly & Granddaddy River Johansen Butterfly Shows Their Grandchildren Luna Butterfly Diaz & Mars Butterfly Diaz & Comet Butterfly Diaz & Meissa Butterfly Diaz Star Butterfly Diaz & Marco Diaz A Wedding Picture of Star Butterfly & Marco Diaz And @baileyashaki & I Loved 8 Grandsons & 6 Granddaughters of Moon Butterfly & River Johansen Butterfly.😄😄😄😍😙😘😚😇👼❤💗💗💗💗👍👍👍👍 #lunadiazbutterfly #marsdiazbutterfly #moonbutterflyandriverbutterfly #cometbutterflydiaz #meissabutterflydiaz #terradiazbutterfly #globgorandeclipsa #meteoraandmariposa #starbutterflyandmarcodiaz #starbutterflydiazandmarcodiaz #aweirdlatina #chibicmps #starco #starcoweek #starcowedding #svtfoe #starvstheforcesofevil #starvstheforcesofevilseason3 #starvstheforcesofevilseason4 #starvstheforcesofevilseason5 #SVTFOESeason5 #bringbacksvtfoe #lunaandmarsvstheforcesofevils #ECAToTB #SaveSVTFOEDay #SaveSVTFOE #bringsvtfoeback #renewsvtfoe #wearesvtfoe (at United States) https://www.instagram.com/p/Cjgwpb4J6SA/?igshid=NGJjMDIxMWI=

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slack-wise · 2 years

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Pump Station North. Skjern River, Denmark, 2015. Architect: Johansen Skovsted. Photographer: Rasmus Norlander.

#Johansen Skovsted #architects #architecture #Rasmus Norlander #photographers #buildings #exteriors

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jcmarchi · 2 months

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AI predicts flooding - Technology Org

New Post has been published on https://thedigitalinsider.com/ai-predicts-flooding-technology-org/

AI predicts flooding - Technology Org

The weather of the future will be significantly wetter. Artificial intelligence can be used to develop early warning systems that can buy time to mitigate flood damage and to plan good systems to divert water away.

Much of Jammerbugt Municipality consists of low-lying areas that are at risk of flooding in heavy and persistent rain. Pictured are flooded areas along the Ryå river. Image credit: Jammerbugt Municipality

Susanne Nielsen realizes that it is probably only a matter of time before her parents’ summer house at Slettestrand in North Jutland is affected by flooding. Because under the house, which is just 400 meters from the bay of Jammerbugt in the municipality of the same name, the groundwater level is now often so high that there is a risk that large amounts of rain will not be able to seep away, but rather enter the house.

“It’s a concern we have if we get a lot of rain,” she admits.

To give residents and decision-makers the best chance to protect themselves against flooding in the area, researchers from DTU have helped Jammerbugt Municipality develop an early warning tool. It can provide 48 hours’ notice of local flooding along rivers, streams, and coastal areas in the municipality. It is the first of its kind to provide local flood warnings.

“It will give us time to react if necessary, so it will be a huge help,” says Susanne Nielsen from her home in Aalborg – some 40 kilometres away from the summer house which she looks after for her parents, who live in Norway.

Complex nature, complex calculations

The tool – a so-called ‘wet index’ – is based on artificial intelligence trained on freely available data on dynamics that influence the risk of flooding. Data comes from satellite imagery and weather forecasts, as well as information on ground and seawater levels and the topography of the landscape.

However, the movement and accumulation of water in open landscapes are difficult to calculate because many parameters affect how water moves and accumulates. To handle this complexity, artificial intelligence was used in the development of the model behind the wet index.

By utilizing specific design principles in the construction of the model and feeding it with carefully selected data, the researchers have incorporated an understanding of water movement, distribution, and interaction with the surrounding environment, according to Roland Löwe. He is one of the developers of the wet index and an Associate Professor at DTU specializing in how water behaves.

Both ups and downs

Jammerbugt Municipality tested the tool in 2023. The results show better than expected predictions for the wet spring months. However, during the summer period, when Denmark was almost drought-stricken, the tool incorrectly predicted flooding in the same areas that had been flooded during the rainy spring.

The incorrect predictions were due to the tool being trained with too little data from the summer months. This is because satellites cannot register water beneath vegetation and given that fx. fields are covered by plants during the summer, the data set at that time of the year is smaller.

“An early warning needs to be relatively accurate for citizens to trust the system. This is why we chose to do a trial run, where only selected citizens have checked it regularly – and where we as a municipality had drones in the air to validate predictions,” explains Project Manager Heidi Egeberg Johansen from Jammerbugt Municipality.

However, she emphasizes that the overall experience is that the project partners have created a tool with great potential. Therefore, the municipality is seeking funding to re-train and possibly adjust the model, which will be offline until that work has taken place, says Heidi Egeberg Johansen.

Faster calculations and decisions

Accurate calculations are crucial – not only when citizens and emergency services need to get water tubes and sandbags ready, but also when, for example, municipalities need to decide how best to expand their drainage systems to handle the wetter climate of the future. Traditional simulations can easily produce rock-solid calculations of systems’ ability to divert water under different scenarios – but according to Roland Löwe, they take forever to complete.

“In practice, this means that every time planners need to analyze something, they have to hire consultants who disappear into a box for two months before they can come back with results. And that’s just too inconvenient,” he explains.

To shorten the computation time while maintaining the physical accuracy, the researchers rely on scientific machine learning, a branch of artificial intelligence that combines two different approaches.

Two approaches in one

One is machine learning, where a computer figures out how to analyze a large amount of data and makes predictions without having a theoretical understanding of the phenomena it is analysing. The spam filter in your email or the facial recognition feature in your phone are examples of machine learning.

The other approach is scientific computing, which can, for example, simulate physical processes, which in this case is how water moves through a given space under the influence of several factors.

“The advantage of combining the two approaches is that you get machine learning models that have a built-in understanding of how the system is expected to behave. This helps to ensure that the models generate fast predictions that make sense physically and aren’t all over the place, which can be a problem with machine learning models,” says Roland Löwe.

In a project where the professor, along with startup WaterZerv and Associate Professor at DTU Allan Peter Engsig-Karup, used scientific machine learning to predict the movement of water through drainage systems, they managed to perform calculations 100 times faster than with traditional models.

“So instead of outsourcing a project, you can gather the relevant decision-makers in a room to run the models live and get the results more or less immediately. You can then sit down and try out different options to find the best solution for a given situation,” he explains.

Source: DTU

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crispyafterdark · 1 year

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King River in “Diaz Family Vacation”

#king river butterfly #river johansen #diaz family vacation #star vs the forces of evil #shirtless #muscular

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holdingontodust · 1 year

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A simple desire to edit a cape onto Toffee resulted in the birth of a Civil War AU I’m calling Moon vs the Forces of Mayhem

In this AU, the day the peace treaty was supposed to be signed, Mina and the Magic High Commission betrayed Queen Comet and crystalized her. During the uproar that followed, Mina accidentally let slip the fact that Festivia was born a commoner, leading to the Mewman kingdoms to realize that anyone could use magic and all start fighting for the wand- including Mina herself, backed by the MHC and an army of monster hating supporters, and Miss Heinous of St. Olga’s who turned her robot staff into an army when she realized that she was the rightful heir to the Butterfly Kingdom.

Meanwhile, after her mother was crystalized, Moon was taken in by Archduke Batwin and the monsters. Wanting to fulfill her mother’s dream of making peace with them, Moon allied herself with the monsters, and changed her name to “Moon Dragonfly” in an attempt to appease Heinous, who takes back her birth name of Meteora. They each realize that the other is a victim and their true enemy is the Commission who deceived them both, but there’s still a lot of bad blood between them and they currently have a tentative truce.

Toffee was going to kill Comet the day of the signing, but was shocked by the betrayal of the Commission and Mina. He quickly decided that Moon’s family was not the problem, but rather the Commission and befriended Moon when the Archduke took her in. After a few years, Moon decided that Batwin no longer had the spine to lead, killed him, and promoted Toffee to the position of “Grand General” and took him as her lover.

Meanwhile, River Johansen, a former suitor of hers, was pressured by his family to try to claim the Magic Wand for the Barbarian Clans. He tried to explain to her that he was only doing what his family demanded, but Moon refused to listen and later captured his family and fed half of them to her monsters. River has sworn vengeance and is allied with his childhood friend King Ponyhead.

Allegiances

Moon is allied with most Monster clans, but her closet is Septarsis. The Underworld is neutral, but Moon has been actively trying to gain their favor.

The Johansens and the Ponyheads have an alliance.

The Spiderbite Kingdom, the Waterfolk Kingdom and the Avarius family are allies.

Meteora has her robot army and the allegiance of the Sizeshifters that are her kin. She frequently enlists Rasticore as her bodyguard or to do an assassination for her, but he’s actually on Toffee’s payroll keeping an eye on her and her movements to report back.

#svtfoe #svtfoe au #moontoffee #Moon vs the Forces of Mayhem #Moon Dragonfly #Grand General Toffee #King River Johansen #King Ponyhead

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bogotamusicvideofestival · 7 months

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// Bogotá Music Video Festival 2023 // Selección Oficial // Competencia Internacional //

Anne Müller - Nummer 2 (Arthur Chaumay, Simon Duong Van Huyen, Francia) Big Freedia - Training Day (Wilberto Lucci; EEUU) Brendan Void - Love is Hell (Brendan Void; Reino Unido) Charlie Cunningham - End Of The NIght (Mawrgan Shaw; Francia) Eddie Beatz - The Healing (Haonan Wang; China) El Morabba’ - Biban (Dany Chamoun; Jordania) Funkindustry & Eri Takenaka - We Need Love (Romain Wagner; Francia) Gana - Neon Gold (Ganael Dumreicher; Austria) Heilung - Anoana (Line Klungseth Johansen, Noruega) Hurray For The Riff Raff - Resistance Rockers (Kelly Gallagher; EEUU) Internet Islands - Passenger (Yang Wen; EEUU) Lea Lustenberger - Crossroad (Piet Esch; Suiza) Lisa Pac - All In (René Rodlauer; Austria) Matt Storm - What Do Ya Miss? (Darion Trotmanm; Canadá) Narova - Moby Dick (Antonio Michele Stea; Italia) Nikhil D’souza - Because Because Because (Anthony Karbhari; India) River Harmony - Empaths & Apples (Kelli Reilly; EEUU) Soda Blonde - Bad Machine (Adam O'Regan; Irlanda)

Nota: El vídeo MGZAVREBI - Waltz ha sido retirado de la Selección Oficial BMVF por sus autores.

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