A history statistical estimation method for hand-off probability in wireless cellular system

Author(s):  
Junfeng Lu
2021 ◽  
pp. 1-24
Author(s):  
Ping Chi Yuen ◽  
Kenji Sasa ◽  
Hideo Kawahara ◽  
Chen Chen

Abstract Condensation inside marine containers occurs during voyages owing to weather changes. In this study, we define the condensation probability along one of the major routes for container ships between Asia and Europe. First, the inside and outside air conditions were measured on land in Japan, and a correlation analysis was conducted to derive their relationship. Second, onboard measurements were conducted for 20,000 twenty-foot equivalent unit (TEU) ships to determine the variation in outside air conditions. Complicated patterns of weather change were observed with changes in latitude, sea area, and season. Third, condensation probability was estimated based on a multi-regression analysis with land and onboard measured data. The maximum condensation probability in westbound or eastbound voyages in winter was found to be approximately 50%. The condensation probability estimation method established in this study can contribute to the quantification of cargo damage risks for the planning of marine container transportation voyages.


2006 ◽  
Vol 51 (169) ◽  
pp. 127-142
Author(s):  
Branko Tadic ◽  
Ratko Mitrovic ◽  
Danijela Tadic

In recent years, the state-of-the-art research has been dealing with putting into traffic, withdrawing and freeing the environment from electrical and electronic equipment waste-WEEE. In our country there has been no serious research so far concerning this problem, although current and future members of the European Union (EU) are obligated to conduct WEEE directive based on individual responsibility of each "waste manufacturer". The Ministry of Science and Environmental Protection of Serbia has accepted the financing of scientific research project called "The development of electrical and electronic equipment recycling system". In this paper, statistical estimation method of quantity and diffusion of computer waste (which according to the EU classification, belongs to the third category WEEE-devices for computer and communication technique) in the territory of Serbia is described. The implications of the problem on our country are also presented.


2016 ◽  
Author(s):  
Carl Schmertmann

High sampling variability in recorded vital events creates serious problems for small-area mortality estimation. Many existing approaches to fitting local mortality schedules, including those most often used in Brazil, estimate rates by making rigid mathematical assumptions about local age patterns. Such methods assume that all areas within a larger area (for example, microregions within a mesoregion) have identically-shaped log mortality schedules by age. We propose a more flexible statistical estimation method that combines Poisson regression with the TOPALS relational model (DE BEER, 2012). We use the new method to estimate age-specific mortality rates in Brazilian small areas (states, mesoregions, microregions, and municípios) in 2010. Results for Minas Gerais show notable differences in the age patterns of mortality between adjacent small areas, demonstrating the advantages of using a flexible functional form in regression models.


2021 ◽  
Author(s):  
Naif Khalaf Alharbi ◽  
Suliman Alghnam ◽  
Abdullah Algaissi ◽  
Hind Albalawi ◽  
Mohammed W. Alenazi ◽  
...  

AbstractBackgroundEstimated seroprevalence of Coronavirus Infectious Disease 2019 (COVID-19), caused by the Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) is a critical evidence for a better evaluation of the virus spread and monitoring the progress of the COVID-19 pandemic in a population. In the Kingdom of Saudi Arabia (KSA), SARS-CoV-2 seroprevalence has been reported in specific regions, but an extensive nationwide study has not been reported. Here, we report a nationwide study to determine the prevalence of SARS-CoV-2 in the population of KSA during the pandemic, using serum samples from healthy blood donors, non-COVID patients and healthcare workers (HCWs) in six different regions of the kingdom, with addition samples from COVID-19 patients.MethodsA total of 11703 serum samples were collected from different regions of the KSA including; 5395 samples from residual healthy blood donors (D); 5877 samples from non-COVID patients collected through residual sera at clinical biochemistry labs from non-COVID patients (P); and 400 samples from consented HCWs. To determine the seroprevalence of SARS-CoV-2, all serum samples, in addition to positive control sera from RT-PCR confirmed COVID-19 patients, were subjected to in-house ELISA with a sample pooling strategy, which was further validated by testing individual samples that make up some of the pools, with a statistical estimation method to report seroprevalence estimatesResultsOverall (combining D and P groups) seroprevalence estimate was around 11% in Saudi Arabia; and was 5.1% (Riyadh), 1.5% (Jazan), 18.4% (Qassim), 20.8% (Hail), 14.7% (ER; Alahsa), and 18.8% in Makkah. Makkah samples were only D group and had a rate of 24.4% and 12.8% in the cities of Makkah and Jeddah, respectively. The seroprevalence in Saudi Arabia across the sampled areas would be 12 times the COVID-19 infection rate. Among HCWs, 7.5% (4.95-10.16 CI 95%) had reactive antibodies to SARS-CoV-2 without reporting any previously confirmed infection. This was higher in HCWs with hypertension. The study also presents the demographics and prevalence of co-morbidities in HCWs and subset of non-COVID-19 population.ConclusionOur study estimates the overall national serological prevalence of COVID-19 in Saudi Arabia to be 11%, with an apparent disparity between regions.


2016 ◽  
Vol 64 (5) ◽  
pp. 484-490 ◽  
Author(s):  
Yuanyuan Xu ◽  
Yawei Wang ◽  
Ying Ji ◽  
Weifeng Jin ◽  
Hao Han ◽  
...  

Metals ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. 965 ◽  
Author(s):  
Petro Kryvyi ◽  
Volodymyr Dzyura ◽  
Nadiya Tymoshenko ◽  
Pavlo Maruschak ◽  
Justas Nugaras ◽  
...  

Based on the experimental data on the roughness parameter Ra, which stands for the mean arithmetic deviation of the profile, as obtained in the process of turning test specimens from different materials with constant elements of the cutting mode (depth a and velocity v) and structural-geometric parameters of the cutting tool, but with different feed rates f, the probability-statistical method for estimating the influence of feed rate f on the resulting surface roughness by the parameter Ra is proposed using the theory of a small sample.


In the next generation cellular system or Next-Generation Wireless Systems a main drawback is the handoff. In time of hand off some time the connected are goes to wait state or call are disconnected. We are trying to minimize the handoff in this paper. In time of handoff, the new BTS cannot give faster service or allocate a channel in proper time duration. In IP base mobile communication, another problem are face, that is the issuing the IP. So we find the handoff probability in current service area and ensuring the new BTS to ready for allocating the signal and also IP to continue the call.


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