EN Support virtually any workload with the secure, resizable compute capacity of Amazon Elastic Cloud Compute (EC2) and the latest-generation processors.
Cyfieithwch "compute" i Corea
Yn dangos 50 o gyfieithiadau 50 o'r ymadrodd "compute" o Saesneg i Corea
Cyfieithiad o Saesneg i Corea o compute
Saesneg
Corea
KO 안전하고 크기 조정이 가능한 Amazon Elastic Cloud Compute(EC2) 컴퓨팅 용량과 최신 세대의 프로세서를 사용하여 거의 모든 워크로드를 지원할 수 있습니다.
Trawslythrennu anjeonhago keugi jojeong-i ganeunghan Amazon Elastic Cloud Compute(EC2) keompyuting yonglyang-gwa choesin sedaeui peuloseseoleul sayonghayeo geoui modeun wokeulodeuleul jiwonhal su issseubnida.
| Saesneg | Corea |
|---|---|
| amazon | amazon |
EN Lambda runs your code on high availability compute infrastructure and performs all the administration of your compute resources
KO Lambda는 가용성이 뛰어난 컴퓨팅 인프라에서 코드를 실행하고 컴퓨팅 리소스 관리를 모두 수행합니다
Trawslythrennu Lambdaneun gayongseong-i ttwieonan keompyuting inpeula-eseo kodeuleul silhaenghago keompyuting lisoseu gwanlileul modu suhaenghabnida
| Saesneg | Corea |
|---|---|
| lambda | lambda |
EN General purpose, compute optimized, memory optimized, storage optimized, and accelerated computing instance types are available that provide the optimal compute, memory, storage, and networking balance for your workloads
KO 워크로드에 대한 최적의 컴퓨팅, 메모리, 스토리지 및 네트워킹 균형을 제공하는 범용, 컴퓨팅 최적화, 메모리 최적화, 스토리지 최적화 및 가속 컴퓨팅 인스턴스 유형을 사용할 수 있습니다
Trawslythrennu wokeulodeue daehan choejeog-ui keompyuting, memoli, seutoliji mich neteuwoking gyunhyeong-eul jegonghaneun beom-yong, keompyuting choejeoghwa, memoli choejeoghwa, seutoliji choejeoghwa mich gasog keompyuting inseuteonseu yuhyeong-eul sayonghal su issseubnida
EN You can also use the AWS Compute Optimizer to get recommendations on optimal AWS Compute resources for your workloads to reduce costs and improve performance.
KO 또한 AWS Compute Optimizer를 사용하여 워크로드에 대한 최적의 AWS 컴퓨팅 리소스를 추천 받아 비용을 절감하고 성능을 개선할 수 있습니다.
Trawslythrennu ttohan AWS Compute Optimizerleul sayonghayeo wokeulodeue daehan choejeog-ui AWS keompyuting lisoseuleul chucheon bad-a biyong-eul jeolgamhago seongneung-eul gaeseonhal su issseubnida.
| Saesneg | Corea |
|---|---|
| aws | aws |
EN Support virtually any workload with the secure, resizable compute capacity of Amazon Elastic Cloud Compute (EC2) and the latest-generation processors.
KO 안전하고 크기 조정이 가능한 Amazon Elastic Cloud Compute(EC2) 컴퓨팅 용량과 최신 세대의 프로세서를 사용하여 거의 모든 워크로드를 지원할 수 있습니다.
Trawslythrennu anjeonhago keugi jojeong-i ganeunghan Amazon Elastic Cloud Compute(EC2) keompyuting yonglyang-gwa choesin sedaeui peuloseseoleul sayonghayeo geoui modeun wokeulodeuleul jiwonhal su issseubnida.
| Saesneg | Corea |
|---|---|
| amazon | amazon |
EN In addition, you can view usage from resources across accounts and track costs using AWS Cost Explorer, and optimize your usage of compute resources using AWS Compute Optimizer.
KO 이외에도 AWS Cost Explorer를 사용하여 여러 계정에서 리소스 사용을 보고 비용을 추적하며, AWS Compute Optimizer를 사용하여 컴퓨팅 리소스 사용을 최적화할 수 있습니다.
Trawslythrennu ioeedo AWS Cost Explorerleul sayonghayeo yeoleo gyejeong-eseo lisoseu sayong-eul bogo biyong-eul chujeoghamyeo, AWS Compute Optimizerleul sayonghayeo keompyuting lisoseu sayong-eul choejeoghwahal su issseubnida.
| Saesneg | Corea |
|---|---|
| aws | aws |
EN As-a-service systems are elastic in that they can be scaled up and down (adjusting size of compute instances) and/or scaled out and in (adjusting number of compute instances) depending on resource availability
KO As-a-service 시스템은 리소스 가용성에 따라 컴퓨팅 인스턴스 크기 및 컴퓨팅 인스턴스 수를 확장 및 축소할 수 있다는 점에서 탄력적입니다
Trawslythrennu As-a-service siseutem-eun lisoseu gayongseong-e ttala keompyuting inseuteonseu keugi mich keompyuting inseuteonseu suleul hwagjang mich chugsohal su issdaneun jeom-eseo tanlyeogjeog-ibnida
EN Manage compute node operations Describe the architecture and management processes for normal and hyperconverged compute nodes
KO 컴퓨팅 노드 운영 관리 일반 및 하이퍼컨버지드 컴퓨팅 노드의 아키텍처 및 관리 프로세스를 설명합니다
Trawslythrennu keompyuting nodeu un-yeong gwanli ilban mich haipeokeonbeojideu keompyuting nodeuui akitegcheo mich gwanli peuloseseuleul seolmyeonghabnida
EN Slows sites for visitors while wasting bandwidth and compute resources
KO 대역폭 및 컴퓨터 리소스 낭비로 사이트 방문자에게 느린 사이트를 제공합니다
Trawslythrennu daeyeogpog mich keompyuteo lisoseu nangbilo saiteu bangmunja-ege neulin saiteuleul jegonghabnida
EN Additional functions such as, load balancing, next-gen firewall, content caching and serverless compute are also delivered as a service.
KO 또한, 부하 분산, 차세대 방화벽, 컨텐츠 캐싱 및 서버리스 컴퓨팅과 같은 추가 기능을 서비스형으로 제공합니다.
Trawslythrennu ttohan, buha bunsan, chasedae banghwabyeog, keontencheu kaesing mich seobeoliseu keompyuting-gwa gat-eun chuga gineung-eul seobiseuhyeong-eulo jegonghabnida.
EN Cloudflare Workers is a serverless compute platform that gives developers the ability to deploy custom code and robust, full-fledged applications at the network edge.
KO Workers는 Cloudflare의 서버리스 컴퓨팅 플랫폼으로 이를 이용하는 개발자들은 커스텀 코드 및 강력하고 완전한 응용 프로그램을 배포할 수 있습니다.
Trawslythrennu Workersneun Cloudflare-ui seobeoliseu keompyuting peullaespom-eulo ileul iyonghaneun gaebaljadeul-eun keoseuteom kodeu mich ganglyeoghago wanjeonhan eung-yong peulogeulaem-eul baepohal su issseubnida.
EN Building serverless applications with fast global response times requires moving compute and storage closer to the user
KO 전 세계적으로 응답 시간이 빠른 서버리스 응용 프로그램을 구축하려면 컴퓨터와 스토리지를 사용자에게 더 가까운 곳으로 이동시켜야 합니다
Trawslythrennu jeon segyejeog-eulo eungdab sigan-i ppaleun seobeoliseu eung-yong peulogeulaem-eul guchughalyeomyeon keompyuteowa seutolijileul sayongja-ege deo gakkaun gos-eulo idongsikyeoya habnida
EN An integrated, software-defined compute and storage solution.
KO 소프트웨어 정의 컴퓨팅과 스토리지의 통합 솔루션
Trawslythrennu sopeuteuweeo jeong-ui keompyuting-gwa seutolijiui tonghab sollusyeon
EN Fabric hosts systems and tools and offers on-demand compute for every application development team at the bank
KO Fabric은 시스템과 툴을 호스팅할 뿐 아니라 은행의 모든 애플리케이션 개발팀에 온디맨드 컴퓨팅을 제공합니다
Trawslythrennu Fabriceun siseutemgwa tul-eul hoseutinghal ppun anila eunhaeng-ui modeun aepeullikeisyeon gaebaltim-e ondimaendeu keompyuting-eul jegonghabnida
EN Bring compute power to the network edge
KO 네트워크 엣지에서 컴퓨팅 성능 활용
Trawslythrennu neteuwokeu esjieseo keompyuting seongneung hwal-yong
EN ‘Without New Relic, we wouldn’t have known where to start. We now use less than half of the compute units we used a year ago. It was an eye-opener in terms of how much visibility we could get into our AWS consumption.’
KO “뉴렐릭이 없었다면, 어디서부터 시작해야 할지 몰랐을 것이다. 컴퓨팅 장치 수를 1년 전 대비 절반 이상 줄였다. AWS 사용량에 대해 많은 가시성을 확보할 수 있게 되어 놀랐다.”
Trawslythrennu “nyulellig-i eobs-eossdamyeon, eodiseobuteo sijaghaeya halji mollass-eul geos-ida. keompyuting jangchi suleul 1nyeon jeon daebi jeolban isang jul-yeossda. AWS sayonglyang-e daehae manh-eun gasiseong-eul hwagbohal su issge doeeo nollassda.”
| Saesneg | Corea |
|---|---|
| aws | aws |
EN Explore basic OCI services, including networking, compute, storage, and more.
KO 네트워킹, 컴퓨트, 스토리지 등을 포함한 기본 OCI 서비스를 살펴보십시오.
Trawslythrennu neteuwoking, keompyuteu, seutoliji deung-eul pohamhan gibon OCI seobiseuleul salpyeobosibsio.
| Saesneg | Corea |
|---|---|
| oci | oci |
EN Building Applications with OCI Arm compute shapes is free to try, easy to learn, and fast to explore
KO OCI Arm Compute 형태를 사용한 애플리케이션 구축은 무료로 사용해 보고 손쉽게 학습하고 빠르게 탐색할 수 있습니다
Trawslythrennu OCI Arm Compute hyeongtaeleul sayonghan aepeullikeisyeon guchug-eun mulyolo sayonghae bogo sonswibge hagseubhago ppaleuge tamsaeghal su issseubnida
| Saesneg | Corea |
|---|---|
| oci | oci |
EN Learn how to move to Ampere A1 Compute
KO Ampere A1 Compute로 전환하는 방법 알아보기
Trawslythrennu Ampere A1 Computelo jeonhwanhaneun bangbeob al-abogi
EN Get started with our Cloud Infrastructure, which offers high-performance compute capabilities and storage capacity in a flexible and secure virtual network that is accessible from your on-premises architecture.
KO 온프레미스 아키텍처에서 접근할 수 있는 유연하고 안전한 가상 네트워크에서 고성능 컴퓨팅 기능과 스토리지 용량을 제공하는 클라우드 인프라를 시작하십시오.
Trawslythrennu onpeulemiseu akitegcheoeseo jeobgeunhal su issneun yuyeonhago anjeonhan gasang neteuwokeueseo goseongneung keompyuting gineung-gwa seutoliji yonglyang-eul jegonghaneun keullaudeu inpeulaleul sijaghasibsio.
EN OCI provides real-time elasticity for enterprise applications by combining Oracle's autonomous services, integrated security, and serverless compute.
KO OCI는 Oracle의 자율 서비스, 통합 보안 및 서버리스 컴퓨팅을 결합하여 엔터프라이즈 애플리케이션에 실시간 탄력성을 제공합니다.
Trawslythrennu OCIneun Oracle-ui jayul seobiseu, tonghab boan mich seobeoliseu keompyuting-eul gyeolhabhayeo enteopeulaijeu aepeullikeisyeon-e silsigan tanlyeogseong-eul jegonghabnida.
| Saesneg | Corea |
|---|---|
| oci | oci |
EN Oracle Cloud Infrastructure offers high-performance compute capabilities and storage capacity in a flexible overlay virtual network that is securely accessible from your on-premises network.
KO Oracle Cloud Infrastructure는 온프레미스 네트워크에서 안전하게 액세스할 수 있는 유연한 오버레이 가상 네트워크에서 고성능 컴퓨팅 기능과 스토리지 용량을 제공합니다.
Trawslythrennu Oracle Cloud Infrastructureneun onpeulemiseu neteuwokeueseo anjeonhage aegseseuhal su issneun yuyeonhan obeolei gasang neteuwokeueseo goseongneung keompyuting gineung-gwa seutoliji yonglyang-eul jegonghabnida.
EN With Oracle Cloud Infrastructure, you can provision highly available Compute instances on Bare metal servers without a hypervisor, ensuring full network isolation.
KO Oracle Cloud Infrastructure를 사용하면 하이퍼바이저 없이 베어메탈 서버에 고가용성 컴퓨트 인스턴스를 프로비저닝하여 완벽한 네트워크 격리를 보장할 수 있습니다.
Trawslythrennu Oracle Cloud Infrastructureleul sayonghamyeon haipeobaijeo eobs-i beeometal seobeoe gogayongseong keompyuteu inseuteonseuleul peulobijeoninghayeo wanbyeoghan neteuwokeu gyeoglileul bojanghal su issseubnida.
EN And without vendor lock-in, TCS has decreased its TCO while significantly increasing compute power
KO 그리고 벤더 종속이 사라져 TCO를 절감하는 동시에 컴퓨팅 성능을 대폭 향상했습니다
Trawslythrennu geuligo bendeo jongsog-i salajyeo TCOleul jeolgamhaneun dongsie keompyuting seongneung-eul daepog hyangsanghaessseubnida
| Saesneg | Corea |
|---|---|
| tco | tco |
EN Introduces you to Ansible automation and configuration management, provisioning, deploying, and managing compute infrastructure across cloud, virtual, and physical environments with Ansible.
KO Ansible 자동화와 구성 관리, 프로비저닝, 배포, 그리고 Ansible을 사용하여 클라우드, 가상, 물리적 환경 전체에서 컴퓨팅 인프라를 관리하는 방법을 소개합니다.
Trawslythrennu Ansible jadonghwawa guseong gwanli, peulobijeoning, baepo, geuligo Ansibleeul sayonghayeo keullaudeu, gasang, mullijeog hwangyeong jeoncheeseo keompyuting inpeulaleul gwanlihaneun bangbeob-eul sogaehabnida.
EN Explore the latest server and infrastructure technologies that deliver a complete, virtual, container-based solution across industries and for work-from-home compute-intensive graphical applications.
KO 여러 업종에 걸쳐 컴퓨팅 집약적인 재택 근무용 그래픽 애플리케이션을 위해 완전한 가상 컨테이너 기반의 솔루션을 제공하는 최신 서버와 인프라 기술에 대해 알아보세요.
Trawslythrennu yeoleo eobjong-e geolchyeo keompyuting jib-yagjeog-in jaetaeg geunmuyong geulaepig aepeullikeisyeon-eul wihae wanjeonhan gasang keonteineo giban-ui sollusyeon-eul jegonghaneun choesin seobeowa inpeula gisul-e daehae al-aboseyo.
EN The Power of Separating Cloud Compute and Cloud Storage
KO 클라우드 애널리틱스 기업을 위한 7가지 필수 요소
Trawslythrennu keullaudeu aeneollitigseu gieob-eul wihan 7gaji pilsu yoso
EN Cloud compute and cloud storage still need to work together, even if independent. See how decoupling maximizes flexibility and value.
KO 고객의 요구 사항에 적합한 클라우드 업체를 선택하는 것은 힘든 일입니다. 잠재적인 공급업체의 평가 방법을 알려 드리겠습니다.
Trawslythrennu gogaeg-ui yogu sahang-e jeoghabhan keullaudeu eobcheleul seontaeghaneun geos-eun himdeun il-ibnida. jamjaejeog-in gong-geub-eobche-ui pyeong-ga bangbeob-eul allyeo deuligessseubnida.
EN It automatically scales to immediately provide just the right amount of compute resources you need to meet your integration demands.
KO 통합 요구 사항을 충족하는 데 필요한 적절한 양의 컴퓨팅 리소스를 즉시 제공하도록 자동으로 확장됩니다.
Trawslythrennu tonghab yogu sahang-eul chungjoghaneun de pil-yohan jeogjeolhan yang-ui keompyuting lisoseuleul jeugsi jegonghadolog jadong-eulo hwagjangdoebnida.
EN Create applications that are at least 50x smaller in size than when built with Java, making them better suited for a new breed of compute environments
KO Java를 이용했을 때보다 최소 50배 이상 작은 사이즈의 애플리케이션을 생성하여 새로운 유형의 컴퓨팅 환경에 더 적합하게 만들 수 있습니다
Trawslythrennu Javaleul iyonghaess-eul ttaeboda choeso 50bae isang jag-eun saijeuui aepeullikeisyeon-eul saengseonghayeo saeloun yuhyeong-ui keompyuting hwangyeong-e deo jeoghabhage mandeul su issseubnida
EN With smaller apps that consume less compute resources, you can cost-effectively deploy to multi-cloud environments, function-as-a-service (FaaS), edge devices, and on-premises.
KO 컴퓨팅 리소스 소모가 적은 소규모 앱을 사용하면 멀티 클라우드 환경, 서비스형 기능 (FaaS), 에지 장치 및 온-프레미스에 더 적은 비용으로 배포할 수 있습니다.
Trawslythrennu keompyuting lisoseu somoga jeog-eun sogyumo aeb-eul sayonghamyeon meolti keullaudeu hwangyeong, seobiseuhyeong gineung (FaaS), eji jangchi mich on-peulemiseue deo jeog-eun biyong-eulo baepohal su issseubnida.
EN The cool thing is all of these steps can be done in 1 matrix. Even better, rather than a fudgeFactor we'll decide on a fieldOfView and compute the right values to make that happen.
KO 멋진 점은 이 모든 단계를 하나의 행렬로 수행할 수 있다는 겁니다. 더 좋은 건 fudgeFactor보다는 fieldOfView로 결정하고, 이를 위한 올바른 값을 계산하는 겁니다.
Trawslythrennu meosjin jeom-eun i modeun dangyeleul hanaui haenglyeollo suhaenghal su issdaneun geobnida. deo joh-eun geon fudgeFactorbodaneun fieldOfViewlo gyeoljeonghago, ileul wihan olbaleun gabs-eul gyesanhaneun geobnida.
EN In the last article we covered point lighting where for every point on the surface of our object we compute the direction from the light to that point on the surface
KO 지난 글에서 우리는 조명에서 물체 표면의 모든 지점까지의 방향을 계산하는 점 조명을 다뤘습니다
Trawslythrennu jinan geul-eseo ulineun jomyeong-eseo mulche pyomyeon-ui modeun jijeomkkajiui banghyang-eul gyesanhaneun jeom jomyeong-eul dalwossseubnida
EN I'm not going to go into the details of how to compute cube, sphere, and cone data. Let's just assume we have functions to create them and they return bufferInfo objects as described in the previous article.
KO 큐브, 구체, 원뿔 데이터를 계산하는 방법에 대해 자세히 설명하진 않겠습니다. 그냥 이들을 생성하는 함수가 있고 이전 글에서 설명한 bufferInfo 객체가 반환된다고 가정해봅시다.
Trawslythrennu kyubeu, guche, wonppul deiteoleul gyesanhaneun bangbeob-e daehae jasehi seolmyeonghajin anhgessseubnida. geunyang ideul-eul saengseonghaneun hamsuga issgo ijeon geul-eseo seolmyeonghan bufferInfo gaegchega banhwandoendago gajeonghaebobsida.
EN Without this scene graph structure you'd have to do much more complex math to compute how to get the moon to orbit the sun because its orbit around the sun looks something like this
KO 장면 그래프 구조가 없다면 달이 태양 궤도를 선회하는 방법을 계산하기 위해 훨씬 더 복잡한 수식을 수행해야 합니다.
Trawslythrennu jangmyeon geulaepeu gujoga eobsdamyeon dal-i taeyang gwedoleul seonhoehaneun bangbeob-eul gyesanhagi wihae hwolssin deo bogjabhan susig-eul suhaenghaeya habnida.
EN Then we'd need to compute points on that curve
KO 그리고 해당 곡선의 점들을 계산해야 합니다
Trawslythrennu geuligo haedang gogseon-ui jeomdeul-eul gyesanhaeya habnida
EN If we compute the worldMatrix for the moon we'll get that funky orbit you see above.
KO 달에 대해 worldMatrix를 계산하면 위에서 본 궤도를 얻게 될 겁니다.
Trawslythrennu dal-e daehae worldMatrixleul gyesanhamyeon wieseo bon gwedoleul eodge doel geobnida.
EN We pick a number between 0 and 1 (called t) where 0 = the beginning and 1 = the end. We then compute the corresponding t point between each pair of points. P1 P2, P2 P3, P3 P4.
KO 0이 시작이고 1이 끝일 때 0과 1사이의 숫자(이하 t)를 선택합니다. 그런 다음 두 점(P1 P2, P2 P3, P3 P4) 사이에 있는 점 t를 계산합니다.
Trawslythrennu 0i sijag-igo 1i kkeut-il ttae 0gwa 1saiui susja(iha t)leul seontaeghabnida. geuleon da-eum du jeom(P1 P2, P2 P3, P3 P4) saie issneun jeom tleul gyesanhabnida.
EN We do the same for the resulting points. Compute t points between Q1 Q2 and Q2 Q3.
KO 결과 지점에 대해서도 동일한 작업을 수행합니다. Q1 Q2과 Q2 Q3 사이에 있는 점 t를 계산합니다.
Trawslythrennu gyeolgwa jijeom-e daehaeseodo dong-ilhan jag-eob-eul suhaenghabnida. Q1 Q2gwa Q2 Q3 saie issneun jeom tleul gyesanhabnida.
EN Finally we do the same for those 2 points and compute the t point between R1 R2.
KO 마지막으로 2개의 점에 대해서도 동일한 작업을 수행하고 R1 R2 사이의 점 t를 계산합니다.
Trawslythrennu majimag-eulo 2gaeui jeom-e daehaeseodo dong-ilhan jag-eob-eul suhaenghago R1 R2 saiui jeom tleul gyesanhabnida.
EN // Compute all the matrices for rendering objects.forEach(function(object) { object.drawInfo.uniforms.u_matrix = m4.multiply(viewProjectionMatrix, object.worldMatrix); });
KO // 렌더링을 위한 모든 행렬 계산 objects.forEach(function(object) { object.drawInfo.uniforms.u_matrix = m4.multiply(viewProjectionMatrix, object.worldMatrix); });
Trawslythrennu // lendeoling-eul wihan modeun haenglyeol gyesan objects.forEach(function(object) { object.drawInfo.uniforms.u_matrix = m4.multiply(viewProjectionMatrix, object.worldMatrix); });
EN We use the distance squared because it's faster to compute than the actual distance
KO 실제 거리보다 계산이 더 빠르기 때문에 거리 제곱을 사용합니다
Trawslythrennu silje geoliboda gyesan-i deo ppaleugi ttaemun-e geoli jegob-eul sayonghabnida
EN gl.useProgram(meshProgramInfo.program); // calls gl.uniform webglUtils.setUniforms(meshProgramInfo, sharedUniforms); + // compute the world matrix once since all parts + // are at the same space
KO gl.useProgram(meshProgramInfo.program); // gl.uniform 호출 webglUtils.setUniforms(meshProgramInfo, sharedUniforms); + // 모든 파트가 동일 공간상에 있기 때문에 월드 행렬은 한 번만 계산합니다
Trawslythrennu gl.useProgram(meshProgramInfo.program); // gl.uniform hochul webglUtils.setUniforms(meshProgramInfo, sharedUniforms); + // modeun pateuga dong-il gong-gansang-e issgi ttaemun-e woldeu haenglyeol-eun han beonman gyesanhabnida
EN To do that we need to compute the extents which is the minimum and maximum vertex positions. So first we can make a function that given positions will figure out the min and max positions
KO 이를 위해 정점 위치의 최대 및 최소값인 범위(extent)를 계산해야 합니다. 먼저 주어진 위치 데이터의 최소값과 최대값을 찾는 함수를 만듭니다.
Trawslythrennu ileul wihae jeongjeom wichiui choedae mich choesogabs-in beom-wi(extent)leul gyesanhaeya habnida. meonjeo jueojin wichi deiteoui choesogabsgwa choedaegabs-eul chajneun hamsuleul mandeubnida.
EN Then we can use that to compute how far to translate the object so its center is at the origin and a distance from the origin to place the camera so hopefully we can see all of it.
KO 이를 활용해 물체를 얼마나 움직여야 물체의 중심이 원점에 위치하게 되고, 카메라를 얼마나 멀리 배치해야 물체 전체를 볼 수 있을지를 계산합니다.
Trawslythrennu ileul hwal-yonghae mulcheleul eolmana umjig-yeoya mulche-ui jungsim-i wonjeom-e wichihage doego, kamelaleul eolmana meolli baechihaeya mulche jeoncheleul bol su iss-euljileul gyesanhabnida.
EN Now that we have the data for the curves we need to compute some points on them.
KO 이제 곡선에 대한 데이터가 있으니 곡선 위의 점을 계산해야 합니다.
Trawslythrennu ije gogseon-e daehan deiteoga iss-euni gogseon wiui jeom-eul gyesanhaeya habnida.
EN // compute the world matrix once since all parts // are at the same space. -const u_world = m4.yRotation(time); +let u_world = m4.yRotation(time); +u_world = m4.translate(u_world, ...objOffset);
KO // 모든 파트가 동일 공간상에 있기 때문에 월드 행렬은 한 번만 계산합니다. -const u_world = m4.yRotation(time); +let u_world = m4.yRotation(time); +u_world = m4.translate(u_world, ...objOffset);
Trawslythrennu // modeun pateuga dong-il gong-gansang-e issgi ttaemun-e woldeu haenglyeol-eun han beonman gyesanhabnida. -const u_world = m4.yRotation(time); +let u_world = m4.yRotation(time); +u_world = m4.translate(u_world, ...objOffset);
EN We can walk the points and compute the total length of the curve and each point's distance on that curve. We can then divide by the length and get a better value for v.
KO 점을 순회하여 곡선의 전체 길이와 곡선의 각 점들의 길이를 계산할 수 있습니다. 그런 다음 길이로 나누어 v에 대해 더 좋은 값을 구합니다.
Trawslythrennu jeom-eul sunhoehayeo gogseon-ui jeonche gil-iwa gogseon-ui gag jeomdeul-ui gil-ileul gyesanhal su issseubnida. geuleon da-eum gil-ilo nanueo ve daehae deo joh-eun gabs-eul guhabnida.
EN We could come up with different ideas about how to compute uv coordinates for the caps but they'd probably not be all that useful
KO Cap에 대한 UV 좌표를 계산하는 다른 아이디어를 생각해볼 수 있겠지만 그다지 유용하진 않을 겁니다
Trawslythrennu Cap-e daehan UV jwapyoleul gyesanhaneun daleun aidieoleul saeng-gaghaebol su issgessjiman geudaji yuyonghajin anh-eul geobnida
EN We could compute a normal for each point on the curve. In fact if you go back to the examples on this page you can see the line formed by R1 and R2 are a line tangent to the curve.
KO 곡선의 각 점에 대한 법선을 계산할 수 있는데요. 실제로 이 페이지의 예제로 돌아가보면 R1과 R2로 구성된 선이 곡선의 접선입니다.
Trawslythrennu gogseon-ui gag jeom-e daehan beobseon-eul gyesanhal su issneundeyo. siljelo i peijiui yejelo dol-agabomyeon R1gwa R2lo guseongdoen seon-i gogseon-ui jeobseon-ibnida.
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