• Title/Summary/Keyword: Building Entry Loss

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Propagation Model Combination of Building Entry Loss and Clutter Loss in Suburban Environment with Low-Rise High-Density Buildings at 3 and 24 GHz (저층 고밀도 건물 교외 환경에서 3 GHz 및 24GHz의 건물 인입 손실과 클러터 손실의 전파 모델 결합)

  • Kim, Dong-Woo;Oh, Soon-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.2
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    • pp.237-244
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    • 2022
  • We measured the clutter loss (CL) and building entry loss (BEL) of signals in a low-rise high-density suburban environment. Three propagation models for BEL, CL, and a combination of BEL and CL were measured in the selected environment. We then derived the figures when the BEL was combined with the CL. At the two frequencies, the measured value of combination of BEL and CL is 27.55 dB and 26.12dB, respectively, and the differences between the measured value and the sum were -4.19 dB and 5.82 dB. Considering that the measurement was performed inside a building, such a difference seems to be small. Therefore, when BEL and CL were measured separately and summed, and then combined and summed, differences of -4.19 dB and 5.82 dB were apparent. This this result can be referenced when similar case of a propagation model was analyzed.

Millimeter-wave directional-antenna beamwidth effects on the ITU-R building entry loss (BEL) propagation model

  • Lee, Juyul;Kim, Kyung-Won;Kim, Myung-Don;Park, Jae-Joon;Yoon, Young Keun;Chong, Young Jun
    • ETRI Journal
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    • v.42 no.1
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    • pp.7-16
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    • 2020
  • Assuming omnidirectional antenna reception, the ITU-R recently developed a new propagation model on building entry loss (BEL) for 5G millimeter-wave frequency sharing and compatibility studies, which is a simplified outdoor-to-indoor path loss model. Considering the utilization of high-gain narrow-beamwidth beamforming, the omnidirectional-based ITU-R BEL model may not be appropriate to predict propagation characteristics for directional beamforming scenarios. This paper studies the effects of beamwidth on the ITU-R BEL model. This study is based on field measurements collected with four different beamwidth antennas: omnidirectional, 10° horn, 30° horn, and 60° horn. The measurement campaigns were conducted at two types of building sites: traditional and thermally efficient buildings. These sites, as well as the measurement scenarios, were carefully chosen to comply with the ITU-R BEL measurement guidelines and the ITU-R building types. We observed the importance of accurate beam alignment from the BEL variation range. We were able to quantify the beamwidth dependency by fitting to a model that is inversely proportional to the beamwidth.

Why Do Some People Become Poor? The Characteristics and Determinants of Poverty Entry (누가 왜 빈곤에 빠지는가? 빈곤진입자의 특성 및 요인)

  • Kim, Hwanjoon
    • Korean Journal of Social Welfare Studies
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    • v.42 no.4
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    • pp.365-388
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    • 2011
  • By analyzing 1998~2008 Korean Labor and Income Panel Study(KLIPS), this study examines socio-economic characteristics of people who become poor. The study also explores the reason why they are in the state of poverty. To find determinants affecting poverty entrance, discrete-time hazard models are applied. Major findings are as follows. The socio-economic characteristics driving people into poverty are in the middle way of the long-term poor and the non-poor, combining the characteristics of both groups. This implies that many cases of the newly poor tend to enter and exit from poverty repeatedly. Poverty entry rate was at a high level right after the economic crises, then was a downturn and remained fairly stable since 2000. However, the young, the high-educated, and even the professional are on the rise as a new poverty group. The major reason people become poor is temporary job loss. This factor is confirmed again by multi-variate analyses. In building anti-poverty policies, it is important to distinguish the long-term poor from the short-term poor. For the long-term poor, virtually the only affective policy will be income support. On the other hand, a labor-market strategy for jos security will be more effective for the short-term poor. The characteristics and determinants of poverty entry may affect poverty duration and exit in the future. Future research will be needed to investigate the relationship among these factors.

Analysis of suppressed thermal conductivity using multiple nanoparticle layers (다중층 나노구조체를 통한 열차단 특성 제어)

  • Tae Ho Noh;Ee Le Shim
    • Journal of the Korean institute of surface engineering
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    • v.56 no.4
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    • pp.233-242
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    • 2023
  • In recent years, energy-management studies in buildings have proven useful for energy savings. Typically, during heating and cooling, the energy from a given building is lost through its windows. Generally, to block the entry of ultraviolet (UV) and infrared (IR) rays, thin films of deposited metals or metal oxides are used, and the blocking of UV and IR rays by these thin films depends on the materials deposited on them. Therefore, by controlling the thicknesses and densities of the thin films, improving the transmittance of visible light and the blocking of heat rays such as UV and IR may be possible. Such improvements can be realized not only by changing the two-dimensional thin films but also by altering the zero-dimensional (0-D) nanostructures deposited on the films. In this study, 0-D nanoparticles were synthesized using a sol -gel procedure. The synthesized nanoparticles were deposited as deep coatings on polymer and glass substrates. Through spectral analysis in the UV-visible (vis) region, thin-film layers of deposited zinc oxide nanoparticles blocked >95 % of UV rays. For high transmittance in the visible-light region and low transmittance in the IR and UV regions, hybrid multiple layers of silica nanoparticles, zinc oxide particles, and fluorine-doped tin oxide nanoparticles were formed on glass and polymer substrates. Spectrophotometry in the UV-vis-near-IR regions revealed that the substrates prevented heat loss well. The glass and polymer substrates achieved transmittance values of 80 % in the visible-light region, 50 % to 60 % in the IR region, and 90 % in the UV region.

Prognostic Factor Analysis of Overall Survival in Gastric Cancer from Two Phase III Studies of Second-line Ramucirumab (REGARD and RAINBOW) Using Pooled Patient Data

  • Fuchs, Charles S.;Muro, Kei;Tomasek, Jiri;Van Cutsem, Eric;Cho, Jae Yong;Oh, Sang-Cheul;Safran, Howard;Bodoky, Gyorgy;Chau, Ian;Shimada, Yasuhiro;Al-Batran, Salah-Eddin;Passalacqua, Rodolfo;Ohtsu, Atsushi;Emig, Michael;Ferry, David;Chandrawansa, Kumari;Hsu, Yanzhi;Sashegyi, Andreas;Liepa, Astra M.;Wilke, Hansjochen
    • Journal of Gastric Cancer
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    • v.17 no.2
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    • pp.132-144
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    • 2017
  • Purpose: To identify baseline prognostic factors for survival in patients with disease progression, during or after chemotherapy for the treatment of advanced gastric or gastroesophageal junction (GEJ) cancer. Materials and Methods: We pooled data from patients randomized between 2009 and 2012 in 2 phase III, global double-blind studies of ramucirumab for the treatment of advanced gastric or GEJ adenocarcinoma following disease progression on first-line platinum- and/or fluoropyrimidine-containing therapy (REGARD and RAINBOW). Forty-one key baseline clinical and laboratory factors common in both studies were examined. Model building started with covariate screening using univariate Cox models (significance level=0.05). A stepwise multivariable Cox model identified the final prognostic factors (entry+exit significance level=0.01). Cox models were stratified by treatment and geographic region. The process was repeated to identify baseline prognostic quality of life (QoL) parameters. Results: Of 1,020 randomized patients, 953 (93%) patients without any missing covariates were included in the analysis. We identified 12 independent prognostic factors of poor survival: 1) peritoneal metastases; 2) Eastern Cooperative Oncology Group (ECOG) performance score 1; 3) the presence of a primary tumor; 4) time to progression since prior therapy <6 months; 5) poor/unknown tumor differentiation; abnormally low blood levels of 6) albumin, 7) sodium, and/or 8) lymphocytes; and abnormally high blood levels of 9) neutrophils, 10) aspartate aminotransferase (AST), 11) alkaline phosphatase (ALP), and/or 12) lactate dehydrogenase (LDH). Factors were used to devise a 4-tier prognostic index (median overall survival [OS] by risk [months]: high=3.4, moderate=6.4, medium=9.9, and low=14.5; Harrell's C-index=0.66; 95% confidence interval [CI], 0.64-0.68). Addition of QoL to the model identified patient-reported appetite loss as an independent prognostic factor. Conclusions: The identified prognostic factors and the reported prognostic index may help clinical decision-making, patient stratification, and planning of future clinical studies.