{"id":477077,"date":"2023-08-09T09:06:59","date_gmt":"2023-08-09T09:06:59","guid":{"rendered":""},"modified":"2023-09-05T11:13:57","modified_gmt":"2023-09-05T11:13:57","slug":"embedded-intelligence","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/embedded-intelligence\/","title":{"rendered":"G\u00f6m\u00fcl\u00fc zeka"},"content":{"rendered":"<p>G\u00f6m\u00fcl\u00fc zeka, hesaplama g\u00fcc\u00fcn\u00fcn, veri analizinin ve karar verme yeteneklerinin sistemlere, cihazlara veya ortamlara entegrasyonunu ifade eder. Bu f\u00fczyon, daha uyarlanabilir, duyarl\u0131 ve otonom operasyonlara olanak tan\u0131yarak ilgili sistemlerin genel i\u015flevselli\u011fini art\u0131r\u0131r.<\/p>\n<h2>G\u00f6m\u00fcl\u00fc Zekan\u0131n K\u00f6kenleri ve \u0130lk Geli\u015fimi<\/h2>\n<p>G\u00f6m\u00fcl\u00fc zeka kavram\u0131n\u0131n k\u00f6kleri bilgisayar bilimi ve yapay zekan\u0131n daha geni\u015f alanlar\u0131na dayanmaktad\u0131r. 1990&#039;larda mikroi\u015flemcilerin \u00e7o\u011falmas\u0131n\u0131n daha fazla hesaplama yetene\u011finin do\u011frudan cihazlara ve sistemlere dahil edilmesine izin vermesiyle belirgin bir \u015fekilde ortaya \u00e7\u0131kt\u0131. G\u00f6m\u00fcl\u00fc zekan\u0131n ilk dikkate de\u011fer \u00f6rnekleri, ak\u0131ll\u0131 sens\u00f6rlerin ve kontrol\u00f6rlerin uyarlanabilir \u00fcretim s\u00fcre\u00e7lerine izin verdi\u011fi \u00e7e\u015fitli end\u00fcstriyel otomasyon sistemlerinde ortaya \u00e7\u0131kt\u0131.<\/p>\n<h2>G\u00f6m\u00fcl\u00fc Zeka Kavram\u0131n\u0131 Geni\u015fletmek<\/h2>\n<p>G\u00f6m\u00fcl\u00fc zeka, veri i\u015fleme ve karar verme yeteneklerinin \u00e7ok \u00e7e\u015fitli sistem ve cihazlara dahil edilmesini i\u00e7erir. Bu, ak\u0131ll\u0131 telefonlar ve ev otomasyon cihazlar\u0131 gibi g\u00fcnl\u00fck t\u00fcketici elektroniklerinden karma\u015f\u0131k end\u00fcstriyel makinelere ve altyap\u0131 sistemlerine kadar her \u015feyi i\u00e7erebilir.<\/p>\n<p>G\u00f6m\u00fcl\u00fc ak\u0131ll\u0131 sistemler, ortamlar\u0131ndaki de\u011fi\u015fikliklere veya giri\u015f verilerine ger\u00e7ek zamanl\u0131 olarak yan\u0131t verecek, davran\u0131\u015flar\u0131n\u0131 \u00f6nceden tan\u0131mlanm\u0131\u015f kurallara, \u00f6\u011frenme algoritmalar\u0131na veya her ikisinin birle\u015fimine g\u00f6re ayarlayacak \u015fekilde tasarlanm\u0131\u015ft\u0131r. Genellikle veri toplama i\u00e7in sens\u00f6rlerin, veri analizi i\u00e7in i\u015flemcilerin ve kararlar\u0131n uygulanmas\u0131 i\u00e7in akt\u00fcat\u00f6rlerin entegrasyonunu i\u00e7erirler.<\/p>\n<h2>G\u00f6m\u00fcl\u00fc Zekan\u0131n \u0130\u00e7 Mekani\u011fi<\/h2>\n<p>G\u00f6m\u00fcl\u00fc bir ak\u0131ll\u0131 sistemin i\u015flevselli\u011fi genel olarak \u00fc\u00e7 temel alana ayr\u0131labilir: veri toplama, veri i\u015fleme ve eylem y\u00fcr\u00fctme.<\/p>\n<ol>\n<li>\n<p><strong>Veri toplama:<\/strong> G\u00f6m\u00fcl\u00fc sens\u00f6rler arac\u0131l\u0131\u011f\u0131yla sistem, \u00e7al\u0131\u015fma ortam\u0131 hakk\u0131nda veya kullan\u0131c\u0131dan veri toplar. Bu, ak\u0131ll\u0131 termostattaki s\u0131cakl\u0131k okumalar\u0131ndan ak\u0131ll\u0131 telefondaki kullan\u0131c\u0131 etkile\u015fimlerine kadar her \u015fey olabilir.<\/p>\n<\/li>\n<li>\n<p><strong>Veri i\u015fleme:<\/strong> Toplanan veriler daha sonra \u00e7e\u015fitli hesaplama y\u00f6ntemleri kullan\u0131larak i\u015flenir. Bunlar kural tabanl\u0131 sistemleri, makine \u00f6\u011frenimi algoritmalar\u0131n\u0131 veya di\u011fer yapay zeka teknolojilerini i\u00e7erebilir.<\/p>\n<\/li>\n<li>\n<p><strong>Eylemin Y\u00fcr\u00fct\u00fclmesi:<\/strong> Veri i\u015fleme a\u015famas\u0131n\u0131n sonu\u00e7lar\u0131na g\u00f6re sistem bir karar verir ve bir eylem ger\u00e7ekle\u015ftirir. Bu, bir bile\u015fenin etkinle\u015ftirilmesini (bir termostattaki \u0131s\u0131t\u0131c\u0131 veya so\u011futucu gibi), bir i\u015flemin ayarlanmas\u0131n\u0131 veya kullan\u0131c\u0131ya bir bildirim g\u00f6nderilmesini i\u00e7erebilir.<\/p>\n<\/li>\n<\/ol>\n<h2>G\u00f6m\u00fcl\u00fc Zekan\u0131n Temel \u00d6zellikleri<\/h2>\n<ul>\n<li>\n<p><strong>\u00d6zerklik:<\/strong> G\u00f6m\u00fcl\u00fc ak\u0131ll\u0131 sistemler genellikle ba\u011f\u0131ms\u0131z olarak \u00e7al\u0131\u015f\u0131r, insan m\u00fcdahalesi olmadan kararlar al\u0131r ve eylemleri ger\u00e7ekle\u015ftirir.<\/p>\n<\/li>\n<li>\n<p><strong>Uyarlanabilirlik:<\/strong> Bu sistemler, davran\u0131\u015flar\u0131n\u0131 gerekti\u011fi gibi ayarlayarak ortamlar\u0131ndaki veya girdi verilerindeki de\u011fi\u015fikliklere uyum sa\u011flayabilir.<\/p>\n<\/li>\n<li>\n<p><strong>Ger\u00e7ek Zamanl\u0131 Yan\u0131t:<\/strong> G\u00f6m\u00fcl\u00fc zeka, de\u011fi\u015fikliklere veya girdilere ger\u00e7ek zamanl\u0131 veya neredeyse ger\u00e7ek zamanl\u0131 yan\u0131tlar verilmesini sa\u011flar.<\/p>\n<\/li>\n<li>\n<p><strong>\u00d6l\u00e7eklenebilirlik:<\/strong> Bu sistemlerin \u00f6l\u00e7e\u011fi genellikle daha karma\u015f\u0131k g\u00f6revleri veya ortamlar\u0131 y\u00f6netecek \u015fekilde b\u00fcy\u00fct\u00fclebilir.<\/p>\n<\/li>\n<\/ul>\n<h2>G\u00f6m\u00fcl\u00fc Zeka Sistemi T\u00fcrleri<\/h2>\n<p>A\u015fa\u011f\u0131da farkl\u0131 t\u00fcrdeki g\u00f6m\u00fcl\u00fc ak\u0131ll\u0131 sistemlerin birka\u00e7 \u00f6rne\u011fi verilmi\u015ftir:<\/p>\n<ol>\n<li><strong>T\u00fcketici Elektroni\u011fi:<\/strong> Ak\u0131ll\u0131 telefonlar, ak\u0131ll\u0131 televizyonlar, giyilebilir teknolojiler.<\/li>\n<li><strong>Ev otomasyonu:<\/strong> Ak\u0131ll\u0131 termostatlar, otomatik ayd\u0131nlatma sistemleri, g\u00fcvenlik sistemleri.<\/li>\n<li><strong>End\u00fcstriyel Otomasyon:<\/strong> Ak\u0131ll\u0131 sens\u00f6rler ve kontrol\u00f6rler, otomatik montaj hatlar\u0131.<\/li>\n<li><strong>Toplu ta\u015f\u0131ma:<\/strong> Otonom ara\u00e7lar, ak\u0131ll\u0131 trafik y\u00f6netim sistemleri.<\/li>\n<li><strong>Sa\u011fl\u0131k hizmeti:<\/strong> Ak\u0131ll\u0131 t\u0131bbi cihazlar, hasta izleme sistemleri.<\/li>\n<\/ol>\n<h2>G\u00f6m\u00fcl\u00fc Zekay\u0131 Kullanma: Zorluklar ve \u00c7\u00f6z\u00fcmler<\/h2>\n<p>G\u00f6m\u00fcl\u00fc zekan\u0131n uygulamalar\u0131 \u00e7e\u015fitlenip b\u00fcy\u00fcrken, kullan\u0131m\u0131yla ilgili bir tak\u0131m zorluklar da var.<\/p>\n<ol>\n<li>\n<p><strong>Veri G\u00fcvenli\u011fi ve Gizlili\u011fi:<\/strong> G\u00f6m\u00fcl\u00fc ak\u0131ll\u0131 sistemler s\u0131kl\u0131kla hassas verileri toplay\u0131p i\u015fledi\u011finden, veri g\u00fcvenli\u011finin ve gizlili\u011finin sa\u011flanmas\u0131 \u00e7ok \u00f6nemlidir. \u00c7\u00f6z\u00fcmler \u015fifrelemeyi, g\u00fcvenli veri depolama ve iletim y\u00f6ntemlerini ve g\u00fc\u00e7l\u00fc kullan\u0131c\u0131 kimlik do\u011frulama sistemlerini i\u00e7erebilir.<\/p>\n<\/li>\n<li>\n<p><strong>G\u00fc\u00e7 t\u00fcketimi:<\/strong> Bu sistemlerin s\u0131kl\u0131kla s\u00fcrekli \u00e7al\u0131\u015fmas\u0131 gerekti\u011finden, g\u00fc\u00e7 t\u00fcketiminin y\u00f6netilmesi \u00f6nemli bir husustur. \u00c7\u00f6z\u00fcmler aras\u0131nda daha verimli i\u015flemciler, g\u00fc\u00e7 tasarrufu modlar\u0131 ve enerji toplama teknolojileri yer al\u0131yor.<\/p>\n<\/li>\n<li>\n<p><strong>Karma\u015f\u0131kl\u0131k:<\/strong> G\u00f6m\u00fcl\u00fc ak\u0131ll\u0131 sistemlerin artan karma\u015f\u0131kl\u0131\u011f\u0131, bunlar\u0131n tasarlanmas\u0131n\u0131, uygulanmas\u0131n\u0131 ve bak\u0131m\u0131n\u0131 zorla\u015ft\u0131rabilir. \u00c7\u00f6z\u00fcmler aras\u0131nda mod\u00fcler tasar\u0131m yakla\u015f\u0131mlar\u0131, sa\u011flam test ve do\u011frulama s\u00fcre\u00e7leri ve \u00fcst d\u00fczey programlama dilleri ve ara\u00e7lar\u0131n\u0131n kullan\u0131m\u0131 yer al\u0131r.<\/p>\n<\/li>\n<\/ol>\n<h2>G\u00f6m\u00fcl\u00fc Zeka ve Di\u011fer Benzer Kavramlar<\/h2>\n<table>\n<thead>\n<tr>\n<th>Konsept<\/th>\n<th>Tan\u0131m<\/th>\n<th>G\u00f6m\u00fcl\u00fc Zeka ile Kar\u015f\u0131la\u015ft\u0131rma<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Makine \u00f6\u011frenme<\/td>\n<td>Sistemlere otomatik olarak \u00f6\u011frenme ve deneyimlerden geli\u015fme yetene\u011fi sa\u011flayan bir yapay zeka t\u00fcr\u00fc.<\/td>\n<td>G\u00f6m\u00fcl\u00fc zeka, makine \u00f6\u011frenimini kullanabilse de, yaln\u0131zca \u00f6\u011frenme y\u00f6n\u00fcn\u00fc de\u011fil, sistemin tamam\u0131n\u0131 kapsayan daha geni\u015f bir kavramd\u0131r.<\/td>\n<\/tr>\n<tr>\n<td>Nesnelerin \u0130nterneti (IoT)<\/td>\n<td>\u0130nternet \u00fczerinden di\u011fer cihazlara ve sistemlere ba\u011flanmak ve veri al\u0131\u015fveri\u015fi yapmak amac\u0131yla her biri sens\u00f6rler, yaz\u0131l\u0131mlar ve di\u011fer teknolojilerle donat\u0131lm\u0131\u015f, birbirine ba\u011fl\u0131 cihazlardan olu\u015fan bir a\u011f.<\/td>\n<td>IoT, cihaz\u0131n i\u015flevselli\u011fini geli\u015ftirmek i\u00e7in s\u0131kl\u0131kla g\u00f6m\u00fcl\u00fc zekadan yararlan\u0131r ancak t\u00fcm IoT cihazlar\u0131 mutlaka ak\u0131ll\u0131 de\u011fildir.<\/td>\n<\/tr>\n<tr>\n<td>Robotik<\/td>\n<td>Robot tasarlamak, in\u015fa etmek ve \u00e7al\u0131\u015ft\u0131rmak i\u00e7in m\u00fchendislik ve bilgisayar bilimini birle\u015ftiren bir alan.<\/td>\n<td>Robotik, otonom operasyonlar i\u00e7in g\u00f6m\u00fcl\u00fc zekay\u0131 kullanabilir, ancak robotik terimi ayn\u0131 zamanda robot tasar\u0131m\u0131 ve yap\u0131m\u0131n\u0131n fiziksel y\u00f6nlerini de kapsar.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>G\u00f6m\u00fcl\u00fc Zekan\u0131n Gelecekteki Beklentileri<\/h2>\n<p>Yapay zeka, makine \u00f6\u011frenimi, sens\u00f6r teknolojisi ve donan\u0131m minyat\u00fcrle\u015ftirmesindeki devam eden ilerlemeler sayesinde, daha da g\u00fc\u00e7l\u00fc ve \u00e7ok y\u00f6nl\u00fc g\u00f6m\u00fcl\u00fc ak\u0131ll\u0131 sistemler sunma umuduyla, g\u00f6m\u00fcl\u00fc zekan\u0131n gelece\u011fi parlak g\u00f6r\u00fcn\u00fcyor.<\/p>\n<p>Gelecekteki potansiyel geli\u015fmeler \u015funlar\u0131 i\u00e7erir:<\/p>\n<ul>\n<li><strong>Artan \u00d6zerklik:<\/strong> G\u00f6m\u00fcl\u00fc ak\u0131ll\u0131 sistemlerin daha \u00f6zerk hale geldi\u011fini, daha karma\u015f\u0131k g\u00f6revleri y\u00f6netebildi\u011fini ve daha karma\u015f\u0131k kararlar verebildi\u011fini g\u00f6rebiliriz.<\/li>\n<li><strong>Geli\u015ftirilmi\u015f \u00d6\u011frenme Yetenekleri:<\/strong> Makine \u00f6\u011frenimindeki ilerlemeler, deneyimlerini daha etkili bir \u015fekilde \u00f6\u011frenebilen ve uyarlayabilen g\u00f6m\u00fcl\u00fc ak\u0131ll\u0131 sistemlerin ortaya \u00e7\u0131kmas\u0131na yol a\u00e7abilir.<\/li>\n<li><strong>Daha Geni\u015f Entegrasyon:<\/strong> Teknoloji geli\u015fmeye devam ettik\u00e7e, g\u00f6m\u00fcl\u00fc zekan\u0131n t\u00fcketici elektroni\u011finden \u015fehir altyap\u0131s\u0131na kadar giderek b\u00fcy\u00fcyen cihaz ve sistem yelpazesinde standart bir \u00f6zellik haline gelmesi muhtemeldir.<\/li>\n<\/ul>\n<h2>Proxy Sunucular\u0131 ve Yerle\u015fik Zeka<\/h2>\n<p>Proxy sunucular\u0131 ayr\u0131ca yerle\u015fik zekadan da yararlanabilir. Ak\u0131ll\u0131 proxy sunucular, veri y\u00f6nlendirmeyi optimize etmek, g\u00fcvenlik tehditlerini ger\u00e7ek zamanl\u0131 olarak tespit edip yan\u0131tlamak ve hatta davran\u0131\u015flar\u0131n\u0131 kullan\u0131c\u0131 tercihleri ve davran\u0131\u015flar\u0131na g\u00f6re uyarlamak i\u00e7in trafik modellerini analiz edebilir. \u00d6rne\u011fin, ak\u0131ll\u0131 bir proxy sunucusu, kullan\u0131c\u0131n\u0131n co\u011frafi konum ihtiya\u00e7lar\u0131na g\u00f6re IP adreslerini otomatik olarak de\u011fi\u015ftirerek optimum h\u0131z ve g\u00fcvenilirli\u011fi sa\u011flayabilir.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.coursera.org\/lecture\/introduction-embedded-systems\/welcome-to-course-1-introduction-to-embedded-systems-vZqFX\" target=\"_new\" rel=\"noopener nofollow\">G\u00f6m\u00fcl\u00fc Sistemlere Giri\u015f<\/a><\/li>\n<li><a href=\"https:\/\/www.tutorialspoint.com\/embedded_systems\/embedded_systems_applications.htm\" target=\"_new\" rel=\"noopener nofollow\">G\u00f6m\u00fcl\u00fc Sistem Uygulamalar\u0131<\/a><\/li>\n<li><a href=\"https:\/\/iot-analytics.com\/product\/embedded-ai-edge-computing\/\" target=\"_new\" rel=\"noopener nofollow\">G\u00f6m\u00fcl\u00fc Yapay Zeka ve U\u00e7 Bilgi \u0130\u015flem<\/a><\/li>\n<li><a href=\"https:\/\/www.bbvaopenmind.com\/en\/technology\/digital-world\/artificial-intelligence-in-embedded-systems\/\" target=\"_new\" rel=\"noopener nofollow\">G\u00f6m\u00fcl\u00fc Sistemlerde Yapay Zeka<\/a><\/li>\n<\/ul>","protected":false},"featured_media":477078,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477077","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Embedded Intelligence: A Comprehensive Overview<\/mark>","faq_items":[{"question":"What is Embedded Intelligence?","answer":"<p>Embedded Intelligence refers to the integration of computational capabilities, data analysis, and decision-making abilities directly into systems, devices, or environments. These systems can adapt and respond autonomously to changes in their environment or input data.<\/p>"},{"question":"When was the concept of Embedded Intelligence first introduced?","answer":"<p>The concept of embedded intelligence emerged prominently during the 1990s. This was largely due to the proliferation of microprocessors that allowed more computational capabilities to be incorporated directly into devices and systems.<\/p>"},{"question":"How does Embedded Intelligence work?","answer":"<p>The functionality of an embedded intelligent system can be broadly divided into three key areas: data collection, data processing, and action execution. They collect data via embedded sensors, process it using computational methods, and then make decisions based on the results to execute an action.<\/p>"},{"question":"What are some key features of Embedded Intelligence?","answer":"<p>The key features of embedded intelligence include autonomy, adaptivity, real-time response, and scalability. These systems can operate independently, adapt to changes in their environment, respond in real-time or near real-time, and can often be scaled up to handle more complex tasks or environments.<\/p>"},{"question":"What are some examples of Embedded Intelligence systems?","answer":"<p>Examples of embedded intelligent systems include consumer electronics like smartphones and smart TVs, home automation devices like smart thermostats and automated lighting systems, industrial automation systems like smart sensors and controllers, and transportation and healthcare devices.<\/p>"},{"question":"What are the challenges in using Embedded Intelligence?","answer":"<p>Challenges associated with the use of embedded intelligence include data security and privacy, power consumption, and complexity of the systems. These are addressed through encryption, secure data storage and transmission methods, efficient processors, power-saving modes, energy harvesting technologies, and the use of high-level programming languages and tools.<\/p>"},{"question":"How does Embedded Intelligence compare with other similar concepts?","answer":"<p>While embedded intelligence may use machine learning, it's a broader concept that encompasses the full system, not just the learning aspect. IoT often leverages embedded intelligence to improve device functionality, but not all IoT devices are necessarily intelligent. Robotics can utilize embedded intelligence for autonomous operations, but the term robotics also covers the physical aspects of robot design and construction.<\/p>"},{"question":"What are the future prospects of Embedded Intelligence?","answer":"<p>The future of embedded intelligence is likely to include increased autonomy, improved learning capabilities, and wider integration. As technology continues to evolve, embedded intelligence is expected to become a standard feature in a growing range of devices and systems.<\/p>"},{"question":"How can proxy servers benefit from Embedded Intelligence?","answer":"<p>Intelligent proxy servers could use embedded intelligence to analyze traffic patterns for data routing optimization, detect and respond to security threats in real-time, and adapt their behavior based on user preferences and behaviors. For instance, a smart proxy server could automatically switch IP addresses based on the geolocation needs of the user, ensuring optimal speed and reliability.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/477077","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/477077\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/477078"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=477077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}