Ukuva okukrelekrele

Kwi-Intanethi yeWebhusayithi yenza uphando kunye nophuhliso malunga neemvakalelo ezikrelekrele : “iirobhothi, i intanethi izinto, ukuqhuba ngokuzimeleyo, iinkqubo zexesha lokwenyani, umbono wekhompyutha, kunye nokusetyenzwa komqondiso”.

Kwi-Intanethi yeWebhusayithi unobuchule kwimveliso yobugcisa kwizimvo ezikrelekrele: “iirobhothi, i intanethi izinto, ukuqhuba ngokuzimeleyo, iinkqubo zexesha lokwenyani, umbono wekhompyutha, kunye nokusetyenzwa komqondiso” ed Kwi-Intanethi yeWebhusayithi unamava kulwazi lwenkqubo yeshishini ukwenza isoftware yesiko enemodyuli kwimvakalelo yobukrelekrele: “irobhothi, intanethi izinto, ukuqhuba ngokuzimeleyo, iinkqubo zexesha lokwenyani, umbono wekhompyutha, kunye nokusetyenzwa komqondiso”.

Kwi-Intanethi yeWebhusayithi unolwazi lwemveliso yobugcisa kunye namava kulwazi lwenkqubo yeshishini ukwenza isoftware yesiko ekwimodyuli kwimvakalelo yobukrelekrele: “iirobhothi, intanethi izinto, ukuqhuba ngokuzimeleyo, iinkqubo zexesha lokwenyani, umbono wekhompyutha, kunye nokusetyenzwa komqondiso”.

Kwi-Intanethi yeWebhusayithi unobuchule kwimveliso yobugcisa kwizimvo ezikrelekrele: “iirobhothi, i intanethi izinto, ukuqhuba ngokuzimeleyo, iinkqubo zexesha langempela, umbono wekhompyutheni, kunye nokulungiswa komqondiso" kunye nokudlulisa inkcubeko yezoshishino kwaye ngaphezu kwayo yonke into yokudlulisa amava.

Imbali ye-Intelligent Sensing

Iziseko (50-80s)

• Iimpawu zoluvo zokuqala: Ukuphuhliswa kwee-transducers ezisisiseko zokulinganisa ubushushu, uxinzelelo, intshukumo, isantya...
• Ukuzenzekelayo kwimizi-mveliso: Ii-Sensors ziba ngundoqo kwinkqubo ye-automation ye-industrial automation kunye neelophu zempendulo kulawulo lwemveliso.
• Iminiaturization: Inkqubela phambili ye-Microelectronic ivumela ukudalwa kweenzwa ezincinci, ezincinci ezinokudityaniswa kwiinkqubo ezahlukeneyo.

Ukujonga kwingqondo ekrelekrele (80-90s)

• Ukonyuka kwiikhompyuter ezingaphakathi: IMicroprocessors eqhagamshelwe ngokuthe ngqo kwi-sensor ivumela ukusetyenzwa kwendawo dati, yokucoca, imbuyekezo kunye nokulinganisa.
• Iinkqubo ezininzi: Iisistim zokufumanisa zidalwe ezihlanganisa ulwazi oluvela kwiindidi ezahlukeneyo zezivamvo (umzekelo, i-sonar, iradar, umbono ongeyonyani), esisiseko kwizicelo ezinzima ngakumbi.
• Uthungelwano Loluvo: Uthungelwano lwamandla aphantsi adityanisiweyo luqalisa ukusetyenziswa kwiinkqubo zokubeka iliso ezikude (umzekelo, indalo, izithuthi).

Ukuzalwa kweSensing yobukrelekrele yangoku (2000s-Namhlanje)

• Internet Yezinto (IoT): Ukuqhuma kwe-IoT kwenza iinkqubo zenzwa ezidibeneyo eziqokelela inani elikhulu dati.
• U kufunda: Ubuchule be yokufunda umatshini kunye ne-AI (i-Artificial Intelligent) esetyenziswe kuyo dati eziqokelelweyo zinika amandla ukuthambekela okukwinqanaba eliphezulu, ukuqondwa kwepateni kunye nohlalutyo oluqikelelweyo.
• Izinto ezihlakaniphile: Abenzi boluvo abakrelekrele, kunye nokusebenza dati kwisiza, zivelisa intaphane yezinto "ezihlakaniphile", indawo engqongileyo kunye nezakhiwo ezikwaziyo ukusabela kwizinto zangaphandle ngokwemigaqo enzima.
• Ubuchwephesha obunxitywayo kunye nokhathalelo lwempilo: Ukufunyanwa kwexesha langempela leempawu zebhayoloji kunye nezixhobo ezinxitywayo okanye ezidibeneyo zenza amathuba kwiinkalo zonyango, ezemidlalo kunye nokufaneleka.

Iintsingiselo zangoku kunye nemingeni

• Ii-Sensory Sensory fusions: Ukudibanisa idatha evela kwiindidi ezahlukeneyo zenzwa (umbono, i-LIDAR, i-audio, njl.) ivumela iinkqubo ezihlakaniphile ukuba zithole ukuqonda kwe-360-degree yehlabathi.
• Ikhomputha ye-Edge: Ukwenziwa kwe dati kufutshane nabenzi boluvo kunciphisa ukubambezeleka kunye nesidingo sokuhambisa inani elikhulu dati rhabaxa. Kubalulekile kwiinkqubo zokuphendula ngokukhawuleza ezifana nezithuthi eziziqhubayo.
• Ubumfihlo kunye nemigaqo yokuziphatha: Ubuninzi bokuqokelela dati ukusuka kwiinkqubo ezikrelekrele kufuna imigangatho yobumfihlo kunye nemilinganiselo yokuqinisekisa ukusetyenziswa okusesikweni okuhlonela inkululeko yomntu.
• Amandla kunye neMiniaturization: Isidingo sezivamvo ezihlala iminyaka okanye zinikwe amandla ngokuthe ngqo kokusingqongileyo sivula itekhnoloji entsha ye-ultra-light and low-power sensors.

isiphelo

Imbali ye-Intelligent Sensing ihlala iguquka. Inkqubela phambili isekwe kwizixhobo zoluvo ezintsonkothileyo, amandla computing, IoT, analytics dati. Izicelo zivela ekuqhubeni ngokuzimeleyo, izixeko ezihlakaniphile, i-industry 4.0, ukhathalelo lwezempilo oludibeneyo, njl.njl. Ukunyamekela imiba efana nobumfihlo kunye nokusetyenziswa ngokufanelekileyo yimiceli mngeni ephambili ukuze ufumane iziphumo ezilungileyo kuphela kuluntu.

Simanye Iwebhusayithi kunye i-arhente yentengiso yewebhu, sichaza eyakho Indawo yeWebhusayithi iinkonzo zethu ezilungiselelwe abathengi bokugqibela, sisebenza njenge Isoftware yeNdlu , Inkampani yeSoftware , Inkampani yokuphuhlisa isoftware, i-arhente yentengiso yewebhu, Iwebhusayithi e Iwebhusayithi.
Kwi-Intanethi yeWebhusayithi ibonelela ngezicwangciso zoshishino zokhuphiswano, ibe yinkokeli kulwazi lwedijithali lwenkampani yakho.

Sinikezela ngomgangatho ophezulu kakhulu kubo bonke bethu abathengi kwaye bayeke ishishini labo ledijithali liqale.

Kwi-Intanethi yeWebhusayithi Yinjini yeprojekthi yakho yedijithali, masikhuphe isazisi sakho sedigital. Sifuna ukuba liqabane lakho kwimbonakalo yedijithali yenkampani yakho.

Ayisiyo kuphela abo basondeleyo kuthi abasikhethayo.

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👍 I-Arhente yeWebhu ye-Intanethi | Ingcali ye-Arhente yeWebhu kwiNtengiso yeDijithali kunye ne-SEO. I-Arhente yeWebhu kwi-Intanethi yi-Arhente yeWebhu. Kwi-Agenzia Web Online impumelelo kwinguqu yedijithali isekelwe kwiziseko ze-Iron SEO version 3. Izinto ezikhethekileyo: Udibaniso lweNkqubo, uHlanganiso lweSicelo seShishini, iSakhiwo esiSetyenziselwe kwiNkonzo, i-Cloud Computing, indawo yokugcina idatha, ubukrelekrele beshishini, iDatha enkulu, ii-portals, ii-intranets, iSicelo seWebhu. Uyilo kunye nolawulo lwesiseko sedatha esinxulumeneyo kunye namacala amaninzi Ukuyila ujongano lwemidiya yedijithali: ukusebenziseka kunye neMizobo. I-Arhente yeWebhu ye-Intanethi inikezela ngeenkampani ezi nkonzo zilandelayo: -SEO kwiGoogle, Amazon, Bing, Yandex; -I-Web Analytics: I-Google Analytics, uMphathi weTag yeGoogle, i-Yandex Metrica; -Ukuguqulwa kwabasebenzisi: iGoogle Analytics, iMicrosoft Clarity, iYandex Metrica; -SEM kwiGoogle, Bing, Amazon Ads; -Ukuthengiswa kweMedia yeNtlalo (Facebook, Linkedin, Youtube, Instagram).

Bona i-Bio epheleleyo

Marketing yedijithali database I-DBMS Indawo yokugcina idatha YeSayensi yeNkcukacha Online ithengisa Ezobuchwepheshe Indawo yeWebhusayithi I-Arhente yeNtengiso Marketing