scholarly journals Improving the performance of a radio-frequency localization system in adverse outdoor applications

Author(s):  
Marcelo N. de Sousa ◽  
Ricardo Sant’Ana ◽  
Rigel P. Fernandes ◽  
Julio Cesar Duarte ◽  
José A. Apolinário ◽  
...  

AbstractIn outdoor RF localization systems, particularly where line of sight can not be guaranteed or where multipath effects are severe, information about the terrain may improve the position estimate’s performance. Given the difficulties in obtaining real data, a ray-tracing fingerprint is a viable option. Nevertheless, although presenting good simulation results, the performance of systems trained with simulated features only suffer degradation when employed to process real-life data. This work intends to improve the localization accuracy when using ray-tracing fingerprints and a few field data obtained from an adverse environment where a large number of measurements is not an option. We employ a machine learning (ML) algorithm to explore the multipath information. We selected algorithms random forest and gradient boosting; both considered efficient tools in the literature. In a strict simulation scenario (simulated data for training, validating, and testing), we obtained the same good results found in the literature (error around 2 m). In a real-world system (simulated data for training, real data for validating and testing), both ML algorithms resulted in a mean positioning error around 100 ,m. We have also obtained experimental results for noisy (artificially added Gaussian noise) and mismatched (with a null subset of) features. From the simulations carried out in this work, our study revealed that enhancing the ML model with a few real-world data improves localization’s overall performance. From the machine ML algorithms employed herein, we also observed that, under noisy conditions, the random forest algorithm achieved a slightly better result than the gradient boosting algorithm. However, they achieved similar results in a mismatch experiment. This work’s practical implication is that multipath information, once rejected in old localization techniques, now represents a significant source of information whenever we have prior knowledge to train the ML algorithm.

Author(s):  
Siddhartha Bhattacharyya ◽  
Paramartha Dutta

The field of industrial informatics has emerged as one of the key disciplines for the purpose of intelligent management and dissemination of information in today’s world. With the advent of newer technical know-how, the subject of informative intelligence has assumed increasing importance in the industrial arena, thanks to the evolution of data intensive industry. Real world data exhibit varied amount of unquantifiable uncertainty in the information content. Conventional logic is often unable to explain the associated uncertainty and imprecision therein due to the principles of finiteness of observations and quantifying propositions employed. Fuzzy sets and fuzzy logic provide a logical framework for description of the varied amount of ambiguity, uncertainty and imprecision exhibited in real world data under consideration. The resultant fuzzy inference engine and the fuzzy logic control theory supplement the power of the framework in design of robust failsafe real life systems.


2019 ◽  
Vol 22 (2) ◽  
pp. 255-270 ◽  
Author(s):  
Manuel D. Ortigueira ◽  
Valeriy Martynyuk ◽  
Mykola Fedula ◽  
J. Tenreiro Machado

Abstract The ability of the so-called Caputo-Fabrizio (CF) and Atangana-Baleanu (AB) operators to create suitable models for real data is tested with real world data. Two alternative models based on the CF and AB operators are assessed and compared with known models for data sets obtained from electrochemical capacitors and the human body electrical impedance. The results show that the CF and AB descriptions perform poorly when compared with the classical fractional derivatives.


2019 ◽  
Vol 11 ◽  
pp. 175883591987112 ◽  
Author(s):  
Changhoon Yoo ◽  
Hyeon-Su Im ◽  
Kyu-pyo Kim ◽  
Do-Youn Oh ◽  
Kyung-Hun Lee ◽  
...  

Background: Liposomal irinotecan (nal-IRI) plus 5-fluorouracil and leucovorin (5-FU/LV) was effective and well-tolerated in patients with metastatic pancreatic adenocarcinoma (mPAC) that progressed on gemcitabine-based therapy in the global NAPOLI-1 trial. Real-world data may further clarify the outcomes and safety profile of nal-IRI + 5-FU/LV in clinical practice. Methods: This retrospective analysis included patients with mPAC who received nal-IRI + 5-FU/LV following gemcitabine-based therapy under a Managed Access Program in Korea. Results: From January 2017 to April 2018, 86 patients across 10 institutions received nal-IRI + 5-FU/LV (median age, 61 years; 60% male; ECOG performance status, 0–1). A total of 35 (41%) and 51 (59%) patients had received less than two and two or more lines of chemotherapy before inclusion, respectively. At a median follow up of 6.4 months, median overall survival (OS) was 9.4 months (95% confidence interval [CI] 7.4–11.4) and median progression-free survival (PFS) was 3.5 months (95% CI 1.3–5.7). Six-month OS and PFS rates were 65.1% and 37.5%, respectively. Objective response and disease control rates were 10% and 55%, respectively. Most common grade 3–4 toxicities were neutropenia (37.2%), nausea (10.5%), vomiting (9.3%), anorexia (8.1%) and diarrhoea (4.7%). Conclusion: Real-life data for Korean patients indicate that, consistent with NAPOLI-1, nal-IRI + 5-FU/LV is effective and well-tolerated in patients with mPAC that progressed on gemcitabine-based therapy.


2017 ◽  
Vol 33 (S1) ◽  
pp. 149-149
Author(s):  
Gordon Bache ◽  
Sukh Tatla ◽  
Deborah Simpson

INTRODUCTION:A conventional approach to communicating value is to model the budget impact of a medicine and the associated formulations in which it is available to be prescribed. However, such an approach does not demonstrate the actual realization of the proposed impact. This abstract outlines an approach to presenting retrospective data back to healthcare professionals (HCP) that blends assumptions and real-world data. For illustrative purposes, we present the results of an application of the model for subcutaneously delivered trastuzumab in an anonymized trust in Yorkshire and Humber.METHODS:The authors developed a model that examined one calendar year (from April 2014) of redistributed sales data for both the intravenous and subcutaneous formulations of trastuzumab for every National Health Service (NHS) trust in England. A series of baseline assumptions (1) were used to model the resource impact of different formulations such as chair time, HCP time, pharmacy preparation time, consumables, wastage, and other considerations. Impacts were estimated at the individual attendance level and scaled to the caseload. These baseline assumptions could then be overwritten by the individual trust using local data.RESULTS:The site delivered approximately 985 doses of subcutaneous trastuzumab over a period of 12 months from April 2014, which represented about 76 percent of the total number of doses delivered. Chair time is estimated to have reduced by 22 minutes per attendance, resulting in a total saving of 361hours. HCP administration time is estimated to have reduced by 23 minutes per attendance, resulting in a total saving of 378 hours based on changing 985 IV doses to SC therapy.CONCLUSIONS:Blending real data and assumptions to provide a retrospective assessment of actual benefits realized back to HCPs is a powerful tool for demonstrating real-world value at both an individual trust and system level.


2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 611-611
Author(s):  
Alessandra Mosca ◽  
Ugo De Giorgi ◽  
Giuseppe Procopio ◽  
Umberto Basso ◽  
Giacomo Carteni ◽  
...  

611 Background: Pazopanib (Pazo) became a standard of care in metastatic renal cell cancer (mRCC) patients (pts) based on 2 prospective trials, but “real life” data are slight. Methods: We retrospectively analyzed clinical outcomes in a large series of mRCC pts routinely treated with 1st line Pazo, among 39 Italian Centers. Descriptive statistics has been performed using Chi-Square and Pearson rank correlation test. Progression-free survival (PFS), overall survival (OS) and safety data are still under investigation. Results: 474 mRCC pts have been collected and divided in 4 age categories: 1) ≤50 yrs old (9.4%); 2) 51-64 yrs old (32.6%); 3) 65-74 yrs old (33.0%); 4) ≥75 yrs old (25.0%). According to Heng score, 25.6%, 48.4% and 10.4% pts had good, intermediate and poor prognosis, respectively, without correlations with age (p = 0.128). Clear cell was the most represented histology (87.3%), independently from age (p = 0.556). 84.6% pts underwent nephrectomy, mainly younger pts (p = 0.000). Pazo initial daily dose was 800 mg in 76.5% pts, 600 mg in 10.8% pts and 400 mg in 12.7% pts, with a significant dose reduction in elderly pts: Pazo 800 was administered in 86.7% of ≤50 yrs old pts and in 54.2% of ≥75 yrs old pts (p = 0.000). Complete (CR)/partial response (PR), stable and progressive disease have been recorded in 37%, 39.5% and 23.5% pts, respectively. Radiological response directly correlated either with age (CR/PR in 55.6% of ≤50 yrs old pts vs 28.8% of ≥75 yrs old pts; p = 0.009) and with Heng score (CR/PR in 47.1% of good prognosis pts vs 24.5% of poor prognosis pts; p = 0.002). Conclusions: “Real world” data showed that younger (≤50 yrs old) mRCC pts more frequently underwent nephrectomy, received Pazo 800 mg daily and obtained CR/PR, with respect to elderly pts (≥75 yrs old). CR/PR to Pazo is associated with good prognosis. PFS and OS will be provided.


2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 683-683
Author(s):  
Marine Gross-Goupil ◽  
Aude Flechon ◽  
Christine Chevreau ◽  
Delphine Topart ◽  
Gwenaelle Gravis ◽  
...  

683 Background: Cabozantinib (Cabo) is approved in Europe for the treatment of mRCC in first line and after failure of tyrosine kinase inhibitors (TKI). We report the results from real-world use of Cabo in the French Early Access Program (EAP) (CABOREAL [NCT03744585]). Methods: Data were retrospectively collected from 26 centers. Patients (pts) were treated with Cabo during the Temporary Authorization for Use (ATU) period from Sep 12, 2016 to licensing in Feb 19, 2018. Pts were eligible after 2 prior VEGFR TKI unless clinical decision for 2nd line (L). The aim was to evaluate the use and activity of Cabo in real-life conditions. Overall survival (OS) was calculated from initiation of Cabo. Results: Overall, 410 pts were included. Median age was 63 years, 85% had clear-cell histology, 41% and 32% were intermediate/poor IMDC risk, respectively. Pts were mostly ECOG 1 (42%) or 2 (30%); 229 (56%) pts had bone metastasis (mets). Median follow-up was 14.4 months (m). Cabo was used as 2L, 3L and 4L or beyond for 101 (25%), 137 (33%) and 172 (41%) pts respectively; 204 pts (50%) were pretreated with nivolumab (Nivo). Activity results and dose reduction are summarized in the table. Starting dose was 60 mg (290 pts, 71%), 40 mg (109 pts, 27%) and 20 mg (8 pts, 2%). Treatment interruption occurred for 267 pts (65%), dose modification for 240 pts (59%) and schedule change for 64 pts (16%). Median daily dose was 40 mg/day. Treatment discontinuation occurred for 348 (85%) pts, with 86 (25%) due to adverse events. Notably, 184 (54%) pts received a subsequent systemic therapy. Conclusions: We report the largest real-world study of Cabo in mRCC to date. CABOREAL demonstrates that using dose modification, median Cabo duration was 7.6 m in a heavily pretreated population, with the longest treatment duration in patients with prior Nivo exposure. Clinical trial information: NCT03744585. [Table: see text]


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4762-4762
Author(s):  
Herve Ghesquieres ◽  
Cedric Rossi ◽  
Fanny Cherblanc ◽  
Sandra Le Guyader ◽  
Fontanet Bijou ◽  
...  

Introduction: Lymphoma incidence continues to rise in France since early 80', although differently among subtypes. Recent improvements in patient survival in major lymphoma subtypes at populational level raise new questions about patient outcome (in specific subgroups) and survivorship (i.e. quality of life, long term sequelae). Numerous epidemiological studies have investigated factors related to lymphoma risk, but far fewer have addressed the extent to which socioeconomic status, social institutional context (i.e. healthcare system), social relationships, environmental context (exposures), individual behaviours (lifestyle) or genetic determinants influence lymphoma outcomes, especially in the general population. Moreover, the knowledge of the disease behaviour achieved from clinical trials data is partly biased because of patient selection. Study Design and Methods: The REALYSA ("REal world dAta in LYmphoma and Survival in Adults") study is a real-life multicentric cohort set in France areas mostly covered by population-based cancer registries to study the prognostic value of epidemiological, clinical and biological factors with a prospective 9-year follow up. ClinicalTrials.gov identifier is NCT03869619. We aim to include 6000 patients over 4 years. Adult patients without lymphoma history and newly diagnosed of one of the following 7 lymphoma subtypes (diffuse large B cell (DLBCL), follicular (FL), marginal zone (MZL), mantle cell (MCL), Burkitt, Hodgkin (HL), T-cell (T-NHL)) are offered to participate during a medical consultation with their hematologist. Exclusion criteria are: having already received anti-lymphoma treatment (except pre-phase) and having a documented HIV infection. After having given signed informed consent, participants fill in three auto-questionnaires regarding lifelong history of residences and occupations, quality of life (QoL / QLQ-C30 questionnaire) and social support (SS / SSQ6 questionnaire). Patients are then interviewed to collect their sociodemographic characteristics, medical and familial history, professional and domestic exposures to major chemicals and pesticides, lifestyle and women health. Clinical data are obtained using patients medical records, including care pathway, medical history, concomitant treatments, initial diagnosis characteristics, nodal/extra-nodal involvement, exams performed, staging, laboratory data, serologic tests, geriatric screening (G8 questionnaire), treatments received (including pre-phase, detailed treatment phases and molecules, reasons for treatment discontinuation), progressions, and treatment response evaluation. Biological samples at baseline and during treatment are collected including plasma and peripheral mononuclear cells. Additionally, a virtual tumor biobank is constituted for baseline tumor samples. The diagnosis will be ensured thanks to the review of French Lymphopath network. Follow-up, including clinical outcomes, new morbidities, lifestyle, professional situation, QoL, SS, fertility, health behavior, are collected every 6 months in the first 3 years and every year thereafter. Results: A pilot phase was implemented between November 2018 and June 2019 in 7 French hospitals/clinics. By June 30, 328 patients were recruited. Biological samples at baseline were obtained for 81% of included patients (n=265). 52% were male and 48% were female. The median age was 62 years (range: 18-95). The histological subtypes were the following (n=308 patients with complete data): 132 DLBCL (42.8%); 59 FL (19.5%); 52 HL (16.9%); 29 MCL (9.4%); 22 MZL (7.1%); 13 T-NHL (4.2%); 1 other (0.3%). We observed a good adherence to clinical research process despite the complexity of data collection. An extension phase with 10 additional centres will be launched during the last 2019 trimester. Discussion: The pilot phase of REALYSA study showed a good compliance to study guidelines and a good quality of data collected at baseline. Consequently, the study design is prospectively feasible in real-life setting. This cohort will constitute an innovative platform for clinical, biological, epidemiological and socio-economical research projects. Disclosures Oberic: Takeda: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; Roche: Membership on an entity's Board of Directors or advisory committees. Salles:Amgen: Honoraria, Other: Educational events; Novartis, Servier, AbbVie, Karyopharm, Kite, MorphoSys: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Educational events; BMS: Honoraria; Roche, Janssen, Gilead, Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Educational events; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Educational events; Merck: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Autolus: Consultancy, Membership on an entity's Board of Directors or advisory committees; Epizyme: Consultancy, Honoraria.


2020 ◽  
pp. 001316442092656
Author(s):  
Yutian T. Thompson ◽  
Hairong Song ◽  
Dexin Shi ◽  
Zhengkui Liu

Conventional approaches for selecting a reference indicator (RI) could lead to misleading results in testing for measurement invariance (MI). Several newer quantitative methods have been available for more rigorous RI selection. However, it is still unknown how well these methods perform in terms of correctly identifying a truly invariant item to be an RI. Thus, Study 1 was designed to address this issue in various conditions using simulated data. As a follow-up, Study 2 further investigated the advantages/disadvantages of using RI-based approaches for MI testing in comparison with non-RI-based approaches. Altogether, the two studies provided a solid examination on how RI matters in MI tests. In addition, a large sample of real-world data was used to empirically compare the uses of the RI selection methods as well as the RI-based and non-RI-based approaches for MI testing. In the end, we offered a discussion on all these methods, followed by suggestions and recommendations for applied researchers.


2020 ◽  
Vol 12 (5) ◽  
pp. 771 ◽  
Author(s):  
Miguel Angel Ortíz-Barrios ◽  
Ian Cleland ◽  
Chris Nugent ◽  
Pablo Pancardo ◽  
Eric Järpe ◽  
...  

Automatic detection and recognition of Activities of Daily Living (ADL) are crucial for providing effective care to frail older adults living alone. A step forward in addressing this challenge is the deployment of smart home sensors capturing the intrinsic nature of ADLs performed by these people. As the real-life scenario is characterized by a comprehensive range of ADLs and smart home layouts, deviations are expected in the number of sensor events per activity (SEPA), a variable often used for training activity recognition models. Such models, however, rely on the availability of suitable and representative data collection and is habitually expensive and resource-intensive. Simulation tools are an alternative for tackling these barriers; nonetheless, an ongoing challenge is their ability to generate synthetic data representing the real SEPA. Hence, this paper proposes the use of Poisson regression modelling for transforming simulated data in a better approximation of real SEPA. First, synthetic and real data were compared to verify the equivalence hypothesis. Then, several Poisson regression models were formulated for estimating real SEPA using simulated data. The outcomes revealed that real SEPA can be better approximated ( R pred 2 = 92.72 % ) if synthetic data is post-processed through Poisson regression incorporating dummy variables.


Sign in / Sign up

Export Citation Format

Share Document