Performance measurements of Bluetooth 5 technique under interference

Abstract. This thesis focuses on experimental performance of the Bluetooth 5 technology and compares results with the previous version. Bluetooth technology, institute of electrical and electronics engineers (IEEE) Std. 802.15.4, and other techniques share the same unlicensed 2.4 GHz industrial, scientific, and medical (ISM) spectrum. Various technologies are operating in the same frequency band, and if the channel utilized by these technologies overlap, end in cross-technology interference (CTI). Measurements have been performed in indoor scenario and ZigBee nodes were used as an interference. Performance output of the Bluetooth 5 is compared to a previous release Bluetooth low energy (BLE) 4 which is currently one of the popular technologies in commercial wireless devices and expected to be even more widespread in the future. This new Bluetooth technology has featured increased data rate, low power consumption, longer range, higher broadcasting capacity, and improved coexistence with other wireless technologies operating in the same frequency band. The main goal of this work was to evaluate the experimental communication range and throughput of the BLE 5 coded version under interference. Nordic Semiconductor nRF52840 chipset has been used for measurements and result shows the practical communication range and throughput of BLE 5 coded version under interference. In this work, with error correction coding, one-third BLE link gain was achieved when considering packet error rate (PER) less than 10%. In addition, ZigBee interference was found to be very harmful for the Bluetooth communication when operating in the same frequency band

Wasserstein Divergence for GANs

In many domains of computer vision, generative adversarial networks (GANs) have achieved great success, among which the family of Wasserstein GANs (WGANs) is considered to be state-of-the-art due to the theoretical contributions and competitive qualitative performance. However, it is very challenging to approximate the $k$-Lipschitz constraint required by the Wasserstein-1 metric~(W-met). In this paper, we propose a novel Wasserstein divergence~(W-div), which is a relaxed version of W-met and does not require the $k$-Lipschitz constraint. As a concrete application, we introduce a Wasserstein divergence objective for GANs~(WGAN-div), which can faithfully approximate W-div through optimization. Under various settings, including progressive growing training, we demonstrate the stability of the proposed WGAN-div owing to its theoretical and practical advantages over WGANs. Also, we study the quantitative and visual performance of WGAN-div on standard image synthesis benchmarks of computer vision, showing the superior performance of WGAN-div compared to the state-of-the-art methods.Comment: accepted by eccv_2018, correct minor error

STUDY OF THE COMPUTED TOMOGRAPHY MEASUREMENT OF DIAMETER OF ABDOMINAL AORTA IN NEPALESE

Background: The diameter of abdominal aorta (DAA) has its own importance in human body in diagnosing several abdominal aortic diseases. Its size is the diagnostic parameter for the abdominal aortic aneurysm which is the localized dilation of the abdominal aorta. Methods: The DAA of Nepalese was measured according to age and sex at three different levels, just superior to the celiac axis, at renal pedicle level and just superior to bifurcation by using Computerized Tomography (CT) scan. Also the DAA of the normal people was compared to those having hypertension, alcohol consumption and smoking habit. Study Sample: Altogether, 125 patients were included who came to Tribhuvan University Teaching Hospital (TUTH), Maharajgung, Kathmandu, Nepal for abdominal CT scan. Among them 100 are normal population and 25 are the victim of hypertension, alcohol consumption and smoking habit. Results: The findings revealed that the DAA in most of the observed patients is less than the aneurysm limit i.e. smaller than 30mm except in one male patientof age 72 years. Conclusion: It is concluded that the diameter of abdominal aorta increases with ages and is pronounced more in Nepalese male population than in female. It is also higher in patients of both sexes having hypertension and smoking habit. KEYWORDS: Bifurcation; Celiac axis; CT scan, DAA; Renal pedicle level

STUDY OF THE COMPUTED TOMOGRAPHY MEASUREMENT OF DIAMETER OF ABDOMINAL AORTA IN NEPALESE

Background: The diameter of abdominal aorta (DAA) has its own importance in human body in diagnosing several abdominal aortic diseases. Its size is the diagnostic parameter for the abdominal aortic aneurysm which is the localized dilation of the abdominal aorta. Methods: The DAA of Nepalese was measured according to age and sex at three different levels, just superior to the celiac axis, at renal pedicle level and just superior to bifurcation by using Computerized Tomography (CT) scan. Also the DAA of the normal people was compared to those having hypertension, alcohol consumption and smoking habit. Study Sample: Altogether, 125 patients were included who came to Tribhuvan University Teaching Hospital (TUTH), Maharajgung, Kathmandu, Nepal for abdominal CT scan. Among them 100 are normal population and 25 are the victim of hypertension, alcohol consumption and smoking habit. Results: The findings revealed that the DAA in most of the observed patients is less than the aneurysm limit i.e. smaller than 30mm except in one male patientof age 72 years. Conclusion: It is concluded that the diameter of abdominal aorta increases with ages and is pronounced more in Nepalese male population than in female. It is also higher in patients of both sexes having hypertension and smoking habit. KEYWORDS: Bifurcation; Celiac axis; CT scan, DAA; Renal pedicle level

Sliced Wasserstein Generative Models

In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the discrepancy between generated and real data distributions. Unfortunately, it is challenging to approximate the WD of high-dimensional distributions. In contrast, the sliced Wasserstein distance (SWD) factorizes high-dimensional distributions into their multiple one-dimensional marginal distributions and is thus easier to approximate. In this paper, we introduce novel approximations of the primal and dual SWD. Instead of using a large number of random projections, as it is done by conventional SWD approximation methods, we propose to approximate SWDs with a small number of parameterized orthogonal projections in an end-to-end deep learning fashion. As concrete applications of our SWD approximations, we design two types of differentiable SWD blocks to equip modern generative frameworks---Auto-Encoders (AE) and Generative Adversarial Networks (GAN). In the experiments, we not only show the superiority of the proposed generative models on standard image synthesis benchmarks, but also demonstrate the state-of-the-art performance on challenging high resolution image and video generation in an unsupervised manner.Comment: This paper is accepted by CVPR 2019, accidentally uploaded as a new submission (arXiv:1904.05408, which has been withdrawn). The code is available at this https URL https:// github.com/musikisomorphie/swd.gi

Assessment of quality of life in type II diabetic patients using the modified diabetes quality of life (MDQoL)-17 questionnaire

Diabetic complications, comorbidities, and cost of treatment affect the quality of life (QoL) of an individual. The QoL assessment is considered an important measure of outcome in chronic disease management. The objective of our study was to assess the quality of life in Type II diabetes mellitus patients with and without complications using the modified diabetes quality of life (MDQoL)-17. A prospective descriptive study was conducted over 6 months, after taking ethical committee approval. As per the inclusion criteria from medicine wards of tertiary care hospital, 250 patients were selected. Demographic characteristics were documented in the data collection form and the patients were administered with the MDQoL questionnaire in different languages. The data was analyzed using IBM SPSS version 20. Majority of the patients were male (64.4%). The average age of the study population was 60.34±12.04 years. Most of the patients had a diabetes history of more than 10 years and HbA1c >; 8%. The average QoL score was 65.47±15.07. Majority of the diabetic patients had the QoL score between 70 and 50. Patients without complication had a better QoL. As the number of complications increased, there was a decrease in the QoL. The presence of comorbidity also decreased the QoL. There was a statistically significant correlation with various parameters such as age, duration of diabetes history, HbA1c, number of complications and type of complication verses QoL of diabetic patients (