1,730,600 research outputs found
TTT-transform plot, boxplot, and histogram for Netherlands COVID-19 Mortality rates.
No full textTTT-transform plot, boxplot, and histogram for Netherlands COVID-19 Mortality rates.</p
TTT-transform plot, boxplot and histogram for China COVID-19 daily number of cases.
No full textTTT-transform plot, boxplot and histogram for China COVID-19 daily number of cases.</p
UWI launches clinical teaching in Tobago
No full textUWI launches clinical teaching in Tobago. The launch of the University of the West Indies (UWI) Faculty of Medical Sciences’ Clinical Clerkship programme in Tobago has been described as a “bold and progressive initiative” by Tobago House of Assembly (THA) Chief Secretary KELVIN CHARLES. Speaking during the formal launch at the Scarborough General Hospital (SGH) Charles said he was pleased with the start of the programme, making note of the cliché, “without a vision, the people will perish.
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
Full text linkTest-time training (TTT) through self-supervised learning (SSL) is an emerging paradigm to tackle distributional shifts. Despite encouraging results, it remains unclear when this approach thrives or fails. In this work, we first provide an in-depth look at its limitations and show that TTT can possibly deteriorate, instead of improving, the test-time performance in the presence of severe distribution shifts. To address this issue, we introduce a test-time feature alignment strategy utilizing offline feature summarization and online moment matching, which regularizes adaptation without revisiting training data. We further scale this strategy in the online setting through batch-queue decoupling to enable robust moment estimates even with limited batch size. Given aligned feature distributions, we then shed light on the strong potential of TTT by theoretically analyzing its performance post adaptation. This analysis motivates our use of more informative self-supervision in the form of contrastive learning for visual recognition problems. We empirically demonstrate that our modified version of test-time training, termed TTT++, outperforms state-of-the-art methods by significant margins on several benchmarks. Our result indicates that storing and exploiting extra information, in addition to model parameters, can be a promising direction towards robust test-time adaptation.VIT
Analysis of the Application current X2 Interface Handover Process in LTE Technology
Full text linkLTE (Long Term Evolution) is a 4G technology which is in the developmental period. In its development we need to know the integrity of LTE networks in providing reliable service of the mobility when service users, so we need to discuss the handover process that occurs in LTE, where this handover process will determine the ability of communication networks in maintining the communication link is going. Problems arise when we talk handover is how the data transfer process occurs in LTE. X2 is an interface that must be passed whentheprocess of transferring data of time of handover between two eNodeB adjacentpieces in LTE. The capabilities of interface X2 also makes effect to maximization of the function on handover process, so it is necessary to analyze the function of interface X2 when handover happen between eNodeB in LTE. This research can be seen that the LTE quaranteering handover process when through on X2 interface at high speed that is greater than 60 km/hour. The existence makes use of the time required to performs faster handovers, seen from simulation result with TTT = 0,034 ms , Hom = 2,029 dB and TTD = 0,165 ms at speed 200 km/hour and angle direction of movement of user is 00 dan 600 . In addition , the faster movement of the user, the smaller the time required to perform handovers because the user through the area or areas slices cell or cell handover
TTT-järjestelmän kehittäminen Mesekon Oy:lle
Full text linkTyön tarkoitus oli rakentaa Mesekon Oy:lle OHSAS 18001 -standardin mukainen työterveys- ja työturvallisuusjärjestelmä, joka voidaan sertifioida. Yritys halusi kehittää TTT-toimintaansa ja todistaa sidosryhmilleen hallitsevansa TTT-riskejään standartoidun järjestelmän avulla. Mesekon Oy:llä oli jo valmiina monia osia TTT-järjestelmässään, mutta järjestelmän sertifioimiseksi oli luotava uusia toimintatapoja ja yhtenäistää jo olemassa olevia. Tärkeimmät uudistukset liittyivät TTT-politiikkaan, vaarojen tunnistamiseen ja TTT-päämäärien asettamiseen.
Työn teoriaosassa käsitellään organisaatioiden turvallisuustoimintaa, työturvallisuuslakia, OHSAS 18001 -standardin vaatimuksia ja käytännön osassa TTT-järjestelmän rakentamista Mesekon Oy:lle. Työssä esitellään Mesekon Oy:lle suunnitellut keinot OHSAS 18001 -standardin vaatimusten täyttämiseksi.
Työn tuloksena yritys sai uuden TTT-politiikan, käytännön vaarojen ja riskien tunnistamiseksi sekä tavan asettaa TTT-päämääriä ja käsitellä vaaratilanteita.The goal of this thesis was to develop an occupational health and safety (OH&S) management system based on the OHSAS 18001 –standard for Mesekon Oy. The company wanted to improve its OH&S operation and to prove its interest groups that it is managing the OH&S risks by means of a standardized management system. Mesekon Oy already had many parts in the OH&S system but for certifying the system, new ways of operation had to be introduced. The most important reforms were related to OH&S policy, hazard identification and OH&S objectives.
This thesis presents organizational safety operation, occupational safety law, the requirements of the OHSAS 18001 standard and the process of developing an OH&S management system for Mesekon Oy. This thesis explains the new ways of operation implemented for Mesekon Oy for meeting the requirements of the OHSAS 18001 standard.
As a result of this thesis Mesekon Oy received a new OH&S policy, a new procedure for hazard identification and risk assessment and a new way for setting OH&S objectives as well as an improved custom for incident investigations
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