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#defective detective
wuxiaphoenix · 2 years
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On Writing: The Strange Occurrence of the Defective Detectives
The Defective Detective is a trope that’s been around at least as long as the mystery genre in Western fiction, with Sherlock Holmes and C. Auguste Dupin of “The Purloined Letter” being sterling examples.
(It’s possible it’s been around in Chinese and Japanese literature longer, given the rather odd behavior of some fictional judges, including one in Japan who had a tattoo (Gasp! Horror! Unbecoming of samurai!) and would use that fact to go undercover among criminals to roust out suspects.) Modern c-dramas include Su Ci of Maiden Holmes, who admits she’s not much good for anything besides solving cases, and pretends to be a man without much caring about it, and Commandery Prince An (Xiao Jinyu) of The Imperial Coroner, who... oh man, he goes well beyond nerd. If that character’s not officially a high-functioning autist he’s at least tap-dancing on the edge of the spectrum. A full list of his oddities would go on a while. So far in ep 9 he’s topped himself by casually revealing in front of the whole Imperial tea party that the device he just used to prepare exquisite tea is one he came up with to precipitate soil out of water samples when he’s trying to solve cases....
The Defective Detective is a classic trope, and used well, very effective indeed. It neatly solves two storytelling problems when you have a Great Detective as a main character. First, it lets you explain how on earth this detective always seems to know the one obscure fact that punctures a killer’s alibi, or allows him to track a suspect - or victim - to the ends of the earth. If the character’s hyper-focus and special interests all relate to crime-solving, then of course he’s got a whole library of said info in his head. Second....
Great Detectives are geniuses when it comes to investigation. That’s what we want; to see the truth laid bare in a single pulled thread, to see impossible murders solved, to see evildoers brought to justice - in a court of law if possible, dead in bloody self-defense if not. We want this. It’s part of the whole detective fantasy: that wrongs can be righted, the truth brought to light, and the trust of society shattered by crime at least partly made whole again. We need that genius.
But an actual genius is very, very hard to live with. If they’re so smart, why do they need anyone else? They run a risk of being someone the reader can’t connect to as a character, and that can wreck your whole story.
A Defective Detective, though? One who can track killers like a bloodhound, but can’t - quite - grasp the normal behavior of people at a party socializing? Who will, in fact, get in serious trouble if they try? They need someone who understands them. So Holmes has his Watson, Su Ci had Prince Qi, and Prince An has a tight group of friends and guards who do their best to make sure he’s got someone in his corner when the social stuff Goes Horribly Wrong.
A Defective Detective is someone broken in the eyes of the world, and thus even more driven to make what they can whole. They’re someone we can understand.
And if readers understand your characters, and respect them, they can grow to love them. And that will make your story stand out above all the rest.
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theonlyrealerin · 1 year
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The Sloan siblings... three crazy cases 🥰
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hell-heron · 1 year
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I think Percy Phelps and Mary Sutherland are some of my favorite clients bc they hit a very similar characterisation note that I like, which is Dumb Of Ass + slightly annoying/flawed in an histrionic way but however EXTREMELY proactive, it gives such an unique charming flavor to the case that really works for me in distinguishing them in a comparatively homogenous mass of clients
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consolecadet · 6 months
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I wish talking about Latent Defects to strangers didn't make me feel so silly and embarrassed
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epicwin64 · 4 months
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Only started playing P3P yesterday but Junpei is already my favorite character
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joyandella-123 · 4 months
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Revolutionizing Precision: The Role of Machine Vision in Sheet Metal Laser
In recent years, the integration of machine vision technology into sheet metal laser cutting processes has improved efficiency, accuracy, and flexibility.
Jobs in sheet metal cutting are becoming more detailed, and with that comes heightened accuracy standards. Machine vision is a game-changer in achieving and surpassing these requirements. Traditional laser cutting systems rely on predetermined programming to guide the laser along the cutting path. The programming is still there, but the process is improved as machine vision systems utilize cameras and advanced algorithms to capture real-time images of the sheet metal surface. This continuous feedback loop allows the machine vision system to adapt dynamically to variations in material flatness, surface conditions, and potential distortions, ensuring an unprecedented level of precision and accuracy.
One of the most prized capabilities of machine vision in sheet metal laser cutting is its ability to automatically recognize key features of the metal sheet. The system can identify the edges of the sheet, locate pre-drilled holes, or recognize specific geometric shapes. This capability is particularly valuable in nests that include complex components with multiple features. The automatic feature recognition of machine vision minimizes setup time, reduces errors, and optimizes the cutting process for maximum efficiency.
Machine vision goes beyond the static approach of traditional nesting algorithms by offering dynamic nesting optimization. As the camera captures real-time images of the sheet metal, the machine vision system can dynamically adjust the position and orientation of components within the nesting layout. This adaptability ensures that the laser cuts the sheet in the most efficient and material-saving manner, reducing scrap and optimizing material utilization. Dynamic nesting not only enhances efficiency but also aligns with sustainability goals by minimizing material waste. In fact, machine vision is leveraged to get the most out of remnant sheets that are basically thrown onto the cutting bed. The camera aligns the edges of a sheet and lays out a nest that works best for that remnant without operator intervention.
Quality Control and Defect Detection
Machine vision systems, with their high-speed image processing capabilities, excel in quality control and defect detection. Real-time monitoring of the cutting process allows machine vision to identify any irregularities, such as burrs, notches, or deviations from the design specifications. This instantaneous feedback enables quick adjustments, preventing the production of defective parts and ensuring that only high-quality components make their way into the final product.
Machine vision plays a crucial role in the broader trend toward automation in sheet metal fabrication. Integrated with robotic systems, machine vision guides the robots in handling and manipulating sheet metal with unparalleled precision. This integration not only reduces the reliance on manual labor but also enhances overall productivity by allowing continuous and unattended operation. The synergy between machine vision and automation in sheet metal laser cutting paves the way for lights-out manufacturing, where production runs smoothly without human intervention.
By elevating precision, automating feature recognition, optimizing nesting dynamically, ensuring quality control, and seamlessly integrating with automation, machine vision transforms sheet metal laser cutting into a highly efficient and precise operation. As industries continue to seek greater efficiency and accuracy in fabrication processes, the role of machine vision in sheet metal laser cutting is destined to become increasingly indispensable, reshaping the future of manufacturing.
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plushiehamuko · 11 months
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in case you're wondering i am still updating this btw
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ohtobeleah · 1 year
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respectfully ma'am i will not be able to rest in the slightest until there is more ToE i'm literally hooked!!! if the boys don't find her quickly i think i'll implode
Start popping the melatonin gummy’s baby. I’ll be working on the next update as soon as I can xx I love the @ by the way!
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h0bg0blin-meat · 9 months
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They're gay, your honor.
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Wish i can delete feelings(or at least specific ones), highly doubt anyone can though -Mi
I can. Might require some chemical modification though.
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wuxiaphoenix · 2 years
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TV Series Review: Liu Yong Pursues the Case
I’m only about half through; there are 45 episodes total. But so far I’d give it 4.5 out of 5 stars. If you’re looking for an older lead than most in a series that still has plenty of just-slightly-fantastic wushu action, definitely check this c-drama out!
Liu Yong himself is like what Lt. Columbo might have been like in the Qing Dynasty. And any character that successfully evokes the disheveled detective is worth watching.
Liu Yong is good, moral, decent, slightly frazzled at the edges; he never gives up on a crime and pokes, pokes, pokes events, places, and people until the truth comes to light. He is that rarest of birds, an upright official.
...So of course he gets demoted and sent off to be the magistrate of some small province beset by bandits and corruption. And the cases and bodies start piling up....
(He’s based on an actual historical official, BTW. Known for being incorruptible.)
I would love to pick the show writers’ brains. I may have a grump with some of their portrayals of the Princess (Liu Yong’s wife - yes, he’s married to a princess and that has Issues), but they made an excellent decision in plotting that lets this show really shine. Namely, while Liu Yong is the lead and does the investigating and mental chess games with the corrupt officials, he has younger supporting characters who do most of the action. You know, like a real leader would delegate responsibility!
So two younger guys are our heroic wushu experts. Imperial Guard Ho Zifeng, who’s technically assigned to guard the Princess, but practically speaking looks after the whole household; he’s good, young, and arrogant. Which, realistically, does get him in trouble from time to time, because he’s better than any one guy, or any ten for that matter, but twenty or more in an ambush with control of the terrain can be a problem....
And then there’s local Constable Qin. Who we meet as a local ex-constable and troublemaker - he’s gone through some bad times, particularly under the local corrupt officials, and starts out believing Liu Yong’s no different. It takes him a few eps watching Liu Yong work to change his mind. Even after that, you see him grow into trusting that Liu Yong is, in fact, out to uphold justice and bring even the most powerful bad guys crashing down.
You get to see all the characters grow over time. It’s awesome. Seven, the maid rescued in the very first episode, butler Xi’er who seems like a spoiled brat but has surprising courage sometimes even if he can’t fight, coroner Mengnan who’s investigating the subtle murder of her father. Even the Princess who starts out absolutely sure the world should revolve around her - that takes at least 12 eps and can be painful to watch, but she does end up realizing the situation is more serious and complicated than it looks. And she sincerely loves her husband, even if they have problems communicating.
Two particular action scenes made me laugh. First, Constable Qin and his runners (think deputies or patrol cops) are after a martial artist murder suspect. The runners rush into the abandoned house the fugitive has been hiding in, and the martial artist goes crashing out through the window.
Me: “Right, cue the chase scene-”
Martial artist comes crashing back in through the window, obviously tossed by an aggravated Constable Qin. Who was waiting out in the alley. Like a sane cop.
Second - there’s an assassin who uses killer bees. (Yes, wushu, deal.) He’s killed a lot of people silently through the series... until he met Constable Qin, who’s got a knack for taking down things flying at him. Assassin lifts the tiles off a roof to peek in, spies his target-
Sees the Constable is there.
You can pretty much feel the assassin say “screw this”. Knife time!
Note, you might want to avoid younger kids watching this. The Qing Dynasty legal system is a big part of the story, and torture shows up. But if they’re old enough to see fictional murders... well, you be the judge. There are smart good guys, plenty of smart bad guys, and a lot of learning experiences. Political machinations are just as important as fists, and Liu Yong is a stickler for getting evidence for crimes, not confessions. At one point three grains of rice become crucial evidence - because they’re different types of rice, and the fact that grain supposed to be issued to soldiers is with that meant for famine relief points to a lot of embezzlement going on!
All told, I think this one is awesome. And it’s fan-subbed on YouTube!
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shadowdemon-gd · 1 year
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I’ve been wondering this. What’s with the new building design? Did they move and I forgot?
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dullahandyke · 1 year
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Me when I remember that my ocs have interpersonal relationships
#like obvi i love ames and ringo to death#but man recently ALL my thought have been on the sacrificial triad <- need to come up w a better name for them#like mfw thea and miren and shirley fuck each other up irreparably while raph spurs it on#and thea died long ago but he needed to live so badly#and MIREN miren the eldest sibling with nothing but their brother needed him to live so badly#that thea commandeered mirens body through possession and miren let him#and mirens entire life was consumed and theyre constantly exhausted from the energy theyre giving up#but thea is There and thats enough for them#and maybe they've been looking for something to devote themselves entirely to and not have to make decisions for#SPEAKING OF WHICH. SHIRLEY!#shirley who helped thea hide his own body and tried to help him find his killer#who bonded to the diez siblings and fell in love with thea#but shirley is a detective in a corrupt police force and the guilt of all the cover-ups is killing her#and she knowingly causes more situations like theas for the sake of protecting their triad#but the guilt threatens to swallow her whole so she turns to luck and flips coins to make her decisions#and she turns to thea and he comforts her and reassures her and tells her that the only thing she can do is go along with it#to make sure that none of their necks end up on the plate bcos she could never hope to defect and get away with it#so shirley throws herself into that mindset with theas encouragement#and THEN she sees that she CAN make differences that she DOESNT have to take everything lying down#and she realises that she is deep in this hole and thea is the one who told her to dig#thea whos the only one that shes trusted and confided in for years and all that trust shatters in a second#meanwhile in the leadup to this thea himself has been slowly realising that defiance is an option#but he cannot make the leap because he died by defiance before and if he dies again it will be mirens body that goes#and hes been digging this hole with shirley for so long that he doesnt know how to stop#so he hopes that if he keeps digging he can make it out of this unscathed (he will not)#um ja so basically forthea divorce arc mystery solved arc miren lost arc#they are in my thoughts and brain
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onewomancitadel · 2 years
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Listen I am not suggesting anything I just like the transition. Did someone survive -> yes the goodies did
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jcmarchi · 1 month
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Artificial intelligence detects heart defects in newborns - Technology Org
New Post has been published on https://thedigitalinsider.com/artificial-intelligence-detects-heart-defects-in-newborns-technology-org/
Artificial intelligence detects heart defects in newborns - Technology Org
Researchers from ETH Zurich and KUNO Klinik St. Hedwig in Regensburg have developed an algorithm that automatically and reliably detects a certain heart defect in newborns.
Pediatric cardiologist Dr. Holger Michel during a cardiac ultrasound examination of 7-​week-old Jarmo in the presence of his mother. Image credit: Sven Wellmann / KUNO Klinik St. Hedwig in Regensburg
Many children announce their arrival in the delivery room with a piercing cry. As a newborn automatically takes its first breath, the lungs inflate, the blood vessels in the lungs widen, and the whole circulatory system reconfigures itself to life outside the womb. This process doesn’t always go to plan, however. Some infants – particularly those who are very sick or born prematurely – suffer from pulmonary hypertension, a serious disorder in which the arteries to the lungs remain narrowed after delivery or close up again in the first few days or weeks after birth. This constricts the flow of blood to the lungs, reducing the amount of oxygen in the blood.
Prompt diagnosis and treatment improve prognosis
Severe cases of pulmonary hypertension need to be detected and treated as rapidly as possible. The sooner treatment begins, the better the prognosis for the newborn infant. Yet making the correct diagnosis can be challenging. Only experienced paediatric cardiologists are able to diagnose pulmonary hypertension based on a comprehensive ultrasound examination of the heart. “Detecting pulmonary hypertension is time-​consuming and requires a cardiologist with highly specific expertise and many years of experience. Only the largest paediatric clinics tend to have those skills on hand,” says Professor Sven Wellmann, Medical Director of the Department of Neonatology at KUNO Klinik St. Hedwig, part of the Hospital of the Order of St. John in Regensburg in Germany.
Researchers from the group led by Julia Vogt, who runs the Medical Data Science Group at ETH Zurich, recently teamed up with neonatologists at KUNO Klinik St. Hedwig to develop a computer model that provides reliable support in diagnosing the disease in newborn infants. Their results have now been published in the International Journal of Computer Vision.
Making AI reliable and explainable
The ETH researchers began by training their algorithm on hundreds of video recordings taken from ultrasound examinations of the hearts of 192 newborns. This dataset also included moving images of the beating heart taken from different angles as well as diagnoses by experienced paediatric cardiologists (is pulmonary hypertension present or not) and an evaluation of the disease’s severity (“mild” or “moderate to severe”). To determine the algorithm’s success at interpreting the images, the researchers subsequently added a second dataset of ultrasound images from 78 newborn infants, which the model had never seen before. The model suggested the correct diagnosis in around 80 to 90 percent of cases and was able to determine the correct level of disease severity in around 65 to 85 percent of cases.
“The key to using a machine-​learning model in a medical context is not just the prediction accuracy, but also whether humans are able to understand the criteria the model uses to make decisions,” Vogt says. Her model makes this possible by highlighting the parts of the ultrasound image on which its categorisation is based. This allows doctors to see exactly which areas or characteristics of the heart and its blood vessels the model considered to be suspicious. When the paediatric cardiologists examined the datasets, they discovered that the model looks at the same characteristics as they do, even though it was not explicitly programmed to do so.
A human makes the diagnosis
This machine-​learning model could potentially be extended to other organs and diseases, for example to diagnose heart septal defects or valvular heart disease.
It could also be useful in regions where no specialists are available: standardised ultrasound images could be taken by a healthcare professional, and the model could then provide a preliminary risk assessment and an indication of whether a specialist should be consulted. Medical facilities that do have access to highly qualified specialists could use the model to ease their workload and to help reach a better and more objective diagnosis. “AI has the potential to make significant improvements to healthcare. The crucial issue for us is that the final decision should always be made by a human, by a doctor. AI should simply be providing support to ensure that the maximum number of people can receive the best possible medical care,” Vogt says.
Source: ETH Zurich
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brightpoint-ai · 1 month
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