A comprehensive study of Bluetooth signal parameters for localization

We provide an elaborate discussion on Bluetooth signal parameters with respect to localization, whereby we collectively designate all types of Bluetooth specification parameters that are related to signal strength - such as RSSI, Link Quality, Received and Transmit Power Level - as Bluetooth signal, parameters. According to our analysis and experimental results, "RSSI" and "Transmit Power Level" turn out to be poor candidates for localization, while "Link Quality" has its limitations. On the other hand, "Received Power Level" correlates nicely with distance, which makes it the most desirable Bluetooth signal parameter to be used in location systems. We contend that it is vital to choose the appropriate signal parameter in Bluetooth location systems, and we expect our work to provide useful pointers in any future design of such systems. Existing systems can also benefit by adopting the appropriate Bluetooth signal parameter in their systems, and thereby, improve their location accuracy

Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition

Recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. The progress of handwritten Bangla numeral is well behind Roman, Chinese and Arabic scripts although it is a major language in Indian subcontinent and is the first language of Bangladesh. Handwritten numeral classification is a high dimensional complex task and existing methods use distinct feature extraction techniques and various classification tools in their recognition schemes. Recently, convolutional neural network (CNN) is found efficient for image classification with its distinct features. In this study, a CNN based method has been investigated for Bangla handwritten numeral recognition. A moderated pre-processing has been adopted to produce patterns from handwritten scan images. On the other hand, CNN has been trained with the patterns plus a number of artificial patterns. A simple rotation based approach is employed to generate artificial patterns. The proposed CNN with artificial pattern is shown to outperform other existing methods while tested on a popular Bangla benchmark handwritten dataset

Multiple convolutional neural network training for Bangla handwritten numeral recognition

Recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. The progress of handwritten Bangla numeral is well behind Roman, Chinese and Arabic scripts although it is a major language in Indian subcontinent and is the first language of Bangladesh. Handwritten numeral classification is a high-dimensional complex task and existing methods use distinct feature extraction techniques and various classification tools in their recognition schemes. Recently, convolutional neural network (CNN) is found efficient for image classification with its distinct features. In this study, three different CNNs with same architecture are trained with different training sets and combined their decisions for Bangla handwritten numeral recognition. One CNN is trained with ordinary training set prepared from handwritten scan images; and training sets for other two CNNs are prepared with fixed (positive and negative, respectively) rotational angles of original images. The proposed multiple CNN based approach is shown to outperform other existing methods while tested on a popular Bangla benchmark handwritten dataset

COVID-19 infection and vaccine status in patients with chronic kidney diseases

Background: The COVID-19 virus has had a great effect globally, changing many commonalities. The incidence of COVID-19 had weakened the immune system, leading to more severe outcomes of various common diseases. Since its early development, the vaccination of COVID-19 has also had mixed responses. The aim of the study was to observe the incidence rate of COVID-19 infection and vaccination status among chronic kidney disease patients. Methods: In this study 50 (27 male and 23 female) adult skulls were investigated to determine the type of asterion, its distance from important bony landmarks and also the nearby venous sinuses were measured. Results: Majority (41.61%) of the participants had been between the ages of 41-55 years old, and 64.84% male prevalence was observed. 60.65% of the participants had been from rural areas. A large portion of the participants (38.06%) did not have any comorbidities, while multiple comorbidities were present among many of the remaining participants. Hypertension was the most common comorbidity, observed in 56.45% of the participants. 72.26% of the present study participants had been asymptomatic, while 13.23% had a fever as their symptom of COVID-19. COVID-19 test was done on 81 patients, among whom 64 had tested positive. Among the total 310 participants, 29.03% had not received any vaccinations, while 14.19% had received only 1st dose of vaccination, 47.2% had received up to their 2nd dose, and 9.35% had received their booster dose. Conclusions: The present study observed a low incidence rate of COVID-19 positive patients among those affected by chronic kidney disease. However, the study also observed a significant positive relation between COVID-19 positive patients and the need for additional medical support, leading to the conclusion that COVID-19 can significantly affect the severity of CKD.

Identification of qanats in Rafsanjan, Sirjan and Ravar cities for fish culture

Study and recognition of the Quanat water of Rafsanjan, Sirjan and Ravar cities has been beginning since the November of 2004. Among 228 Quanat chains were studied in these cities, 165 quanat chains had a discharge more than 10 liter per second (L/Se) which were sampled. In this research oxygen, pH, discharge, water temperature and air temperature were measured in two times and in the local place. Height from the sea level, longitude and latitude were measured (by GPS Machine) in one time and in the local place and other physical and chemical factors including No_2, No_3, Co_2, total hardness, NH_3 and So_4 were measured one time in the laboratory. In this manner, the condition of connection ways of considered Quanat with city was studied. With examination on the Quanat water in above said cities, all of Quant was within desired extents for aquaculture activities. Moreover in some of them, water temperature was higher than 20 degree centigrade that with some changes and in specific months can be used in aquaculture