ANALISIS PERBANDINGAN ALGORITMA REGION GROWING DAN OTSU THRESHOLDING PADA SEGMENTASI CITRA BUNGA

Dalam segmentasi citra digital, segmentasi merupakan proses memisahkan objek dari latar belakang yang bertujuan agar objek hasil segmentasi  dapat dianalisis  lebih lanjut. Untuk mendapatkan hasil citra segmentasi yang baik tentu diperlukan algoritma yang baik. Dalam penelitian ini dilakukan pengujian terhadap kedua algoritma populer yaitu algoritma Otsu Thresholding dan algoritma Region Growing. Tujuan dari penelitian ini adalah untuk membandingkan seberapa baik kedua algoritma bekerja dan menghasilkan segmentasi yang akurat dan efektif. Segmentasi citra dievaluasi berdasarkan kualitasnya dengan mempertimbangkan parameter-parameter seperti waktu komputasi, akurasi segmentasi, MSE (Mean Square Error), dan PSNR (Peak Signal to Noise Ratio). Hasil pengujian dari Algoritma Otsu dan Algoritma Region Growing diperoleh hasil sebagai berikut: dari segi komputasi, Region Growing unggul dengan nilai 0.03 detik dibandingkan Otsu dengan nilai 0.13 detik. Dari segi akurasi, Region Growing unggul dengan nilai 0.8473 dibandingkan Otsu dengan nilai 0.7980. Dari segi MSE, Region Growing unggul dengan nilai 6.35 dibandingkan 28.95

Continuous Wave Photon Upconversion from a Copper Selenide Nanocrystal Film

Photon upconversion is of great interest for improving the efficiency of silicon photovoltaic cells, for biological imaging, and for thermal management strategies. Currently, the vast majority of materials being developed for solar upconversion are composed of rare and expensive elemental compounds. Moving forward, the development of earth abundant, non-toxic materials that efficiently convert near infrared light into visible light would be ideal. Copper selenide-based materials meet these criteria, and are of great interest due to their unique thermoelectric and plasmonic properties. In particular, doped copper selenides (Cu2−xSe) have tunable near infrared localized surface plasmon resonances, large Seebeck coefficients, and low thermal conductivity, with a range of chemical and thermoelectric applications. Here, we observe another interesting application of this material in the upconversion of near infrared light from a silica xerogel film containing degenerately doped Cu2−xSe nanocrystals, with an onset flux of ∼ 1.96 ± 0.29 kW/cm^2 and at least 1% quantum yield. Our investigations suggest a plasmon-driven thermal mechanism likely plays a role in this upconversion process

Adaptation of a Standardized Handoff System for a Radiology Residency Program

Background/Objectives: The Joint Commission has linked communication failure as a root cause for a majority of sentinel events. The “I-PASS” system is a hand-off mnemonic that has been shown to decrease medical errors, prevent adverse events, and improve communication. Multiple Jefferson residency programs have adopted I-PASS training over the last year to standardize sign-outs between treatment teams and departments. Radiology residents also participate in hand-offs with other departments, especially in cases of adverse patient reactions that occur within radiology (ie: allergic reaction, seizure, contrast extravasation). In addition, radiology residents also participate in hand offs between daytime and overnight teams, including sign out of pertinent protocols, studies, and clinician communications. The aim of this study was to assess the adaptability of I-PASS training to the needs of a diagnostic radiology residency program.https://jdc.jefferson.edu/patientsafetyposters/1098/thumbnail.jp

Search for nonresonant Higgs boson pair production in final state with two bottom quarks and two tau leptons in proton-proton collisions at √s = 13 TeV

A search for the nonresonant production of Higgs boson pairs (HH ) via gluon-gluon and vector boson fusion processes in final states with two bottom quarks and two tau leptons is presented. The search uses data from proton-proton collisions at a center-of-mass energy of s=13TeV recorded with the CMS detector at the LHC, corresponding to an integrated luminosity of 138fb−1. Events in which at least one tau lepton decays hadronically are considered and multiple machine learning techniques are used to identify and extract the signal. The data are found to be consistent, within uncertainties, with the standard model (SM) predictions. Upper limits on the HH production cross section are set to constrain the parameter space for anomalous Higgs boson couplings. The observed (expected) upper limit at 95% confidence level corresponds to 3.3 (5.2) times the SM prediction for the inclusive HH cross section and to 124 (154) times the SM prediction for the vector boson fusion HH cross section. At 95% confidence level, the Higgs field self-coupling is constrained to be within −1.7 and 8.7 times the SM expectation, and the coupling of two Higgs bosons to two vector bosons is constrained to be within −0.4 and 2.6 times the SM expectation.ISSN:0370-2693ISSN:0031-9163ISSN:1873-244

Measurement of the B0 s → μ+μ− decay properties and search for the B0 → μ+μ− decay in proton-proton collisions at √s = 13 TeV

Measurements are presented of the Bs0→μ+μ− branching fraction and effective lifetime, as well as results of a search for the B0→μ+μ− decay in proton-proton collisions at s=13TeV at the LHC. The analysis is based on data collected with the CMS detector in 2016–2018 corresponding to an integrated luminosity of 140fb−1. The branching fraction of the Bs0→μ+μ− decay and the effective Bs0 meson lifetime are the most precise single measurements to date. No evidence for the B0→μ+μ− decay has been found. All results are found to be consistent with the standard model predictions and previous measurements.ISSN:0370-2693ISSN:0031-9163ISSN:1873-244

Search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson pairs in the all-jets final state in proton-proton collisions at √s = 13 TeV

A search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson pairs in the all-jets final state is presented. The analysis is based on proton-proton collision data recorded by the CMS detector in 2016–2018 at a centre-of-mass energy of 13 TeV at the CERN LHC, corresponding to an integrated luminosity of 138 fb−1. The search is sensitive to resonances with masses between 1.3 and 6TeV, decaying to bosons that are highly Lorentz-boosted such that each of the bosons forms a single large-radius jet. Machine learning techniques are employed to identify such jets. No significant excess over the estimated standard model background is observed. A maximum local significance of 3.6 standard deviations, corresponding to a global significance of 2.3 standard deviations, is observed at masses of 2.1 and 2.9 TeV. In a heavy vector triplet model, spin-1 Z′ and W′ resonances with masses below 4.8TeV are excluded at the 95% confidence level (CL). These limits are the most stringent to date. In a bulk graviton model, spin-2 gravitons and spin-0 radions with masses below 1.4 and 2.7TeV, respectively, are excluded at 95% CL. Production of heavy resonances through vector boson fusion is constrained with upper cross section limits at 95% CL as low as 0.1 fb.ISSN:0370-2693ISSN:0031-9163ISSN:1873-244

Measurement of the double-differential inclusive jet cross section in proton-proton collisions at s\sqrt{s} = 5.02 TeV

International audienceThe inclusive jet cross section is measured as a function of jet transverse momentum $p_\mathrm{T}$ and rapidity $y$. The measurement is performed using proton-proton collision data at $\sqrt{s}$ = 5.02 TeV, recorded by the CMS experiment at the LHC, corresponding to an integrated luminosity of 27.4 pb$^{-1}$. The jets are reconstructed with the anti-$k_\mathrm{T}$ algorithm using a distance parameter of $R$ = 0.4, within the rapidity interval $\lvert y\rvert$$\lt$ 2, and across the kinematic range 0.06 $\lt$$p_\mathrm{T}$$\lt$ 1 TeV. The jet cross section is unfolded from detector to particle level using the determined jet response and resolution. The results are compared to predictions of perturbative quantum chromodynamics, calculated at both next-to-leading order and next-to-next-to-leading order. The predictions are corrected for nonperturbative effects, and presented for a variety of parton distribution functions and choices of the renormalization/factorization scales and the strong coupling $\alpha_\mathrm{S}$