243 research outputs found
Novel System Identification Techniques For Battery Management System
In this thesis, we presents a novel approach for system identification of a Li-ion batteries. First, we we present a robust approach to estimate the equivalent circuit model (ECM) parameters of a Li-ion battery that offers several advantages over existing ones. Particularly, (i) The proposed approach depends only on measured voltage across and current through the battery; (ii) We theoretically derive the estimation error in terms of the voltage and current measurement errors; (iii) The proposed approach is unaffected by the effect of hysteresis in batteries; (iv) The proposed approach is applicable in time-varying conditions; and (v) The new ECM identification approach can be implemented for different ECM approximations with little change in the algorithm. The proposed algorithm was tested on simulated as well as real world battery data and found to be accurate within 1% uncertainty. Finally, we discuss about the battery fuel gauge (BFG). We suggest an improved BFG of an existing one that estimate ECM parameter as well as the state of charge (SOC) in real time. Then we use the BFG evaluation scheme to validate the performance of an improved BFG and compare its performance with its predecessor. The comparison shows the performance improvement of the improved BFG in objective terms - using the BFG evaluation metrics. Therefore, this thesis further aims to highlight the importance of employing objective performance analysis to quantify the performance of different versions of BFG being proposed in the literature and demonstrate its use case using simulated as well as real world data
Diagnostic utility of fine needle aspiration cytology in thyroid lesions
Background: Thyroid fine needle aspiration cytology (FNAC) is an important screening tool and thereby dictates clinical management. The exclusion of non-invasive follicular variant of papillary carcinoma (NIFVPTC) from thyroid malignancies and its reclassification as non-malignant entity i.e., non-invasive follicular thyroid neoplasm with papillary like nuclear features (NIFTP) has added a new dimension. Aim of this study was to study the role of fine needle aspiration cytology in screening thyroid lesions by correlation with histopathological examination and to calculate diagnostic accuracy of FNAC considering NIFTP as non-malignant and compare it with pre NIFTP era.Methods: It was an observational study done over a period of 2 years (2017-2018). It included the cases where FNAC was followed subsequently by histopathology. FNAC results were correlated with histopathological diagnosis established thereof.Results: A total of 107 patients were included in this study. Considering NIFTP as non-malignant, sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy were 92.97%, 100%, 100%, 92.73% and 96.23% respectively, that is significantly higher if authors considered NIFTP as malignant.Conclusions: FNAC plays an indispensable role in making preliminary diagnosis in thyroid lesions. There is a notable increase in diagnostic accuracy of FNAC in thyroid lesions and significant decrease in risk of malignancy by considering NIFTP as non-malignant
Labour Market Dynamics in Pakistan: Evidence from the Longitudinal Data
The bulk of research on labour market conditions in Pakistan has concentrated on the economic activity rate, the number of employed persons, or the unemployment rate at a particular point in time. These stock measures of labour market situation are useful from a policy viewpoint as they give a broad indication of the dimension of the problem. For example, the recent labour force surveys show an increase in the level of open unemployment from 5.9 percent in 1997-98 to 7.8 percent in 1999-2000 [Pakistan (2001)]. There is also an emerging consensus that during the 1990s poverty has increased at the national as well as for rural and urban areas of the country [Qureshi and Arif (2001)]. Labour market is considered as the main route for establishing the link between macro policies, the resulting GDP growth and poverty alleviation [Rahman (2002)]. Interim Poverty Reduction Strategy Paper (IPRSP) and other development plans have suggested various targets of employment creation for poverty reduction. The stock measures of labour market conditions, such as unemployment rate, are considered to be inadequate from the viewpoint of developing appropriate policy responses. There is a need to gain further insights by examining the structure of labour market in terms of its dynamic components: these being the turnover of persons into and out of the labour force and turnover into and out of employment and unemployment pools
Considerations in Designing Human-Computer Interfaces for Elderly People
As computing devices continue to become more heavily integrated into our lives, proper design of human-computer interfaces becomes a more important topic of discussion. Efficient and useful human-computer interfaces need to take into account the abilities of the humans who will be using such interfaces, and adapt to difficulties that different users may face – such as the difficulties that elderly users must deal with. Interfaces that allow for user-specific customization, while taking into account the multiple difficulties that older users might face, can assist the elderly in properly using these newer computing devices, and in doing so possibly achieving a better quality of life through the advanced technological support that these devices offer. In this paper, we explore common problems the elderly face when using computing devices and solutions developed for these problems. Difficulties ultimately fall into several categories: cognition, auditory, haptic, visual, and motor-based troubles. We also present an idea for a new adaptive operating system with advanced customizations that would simplify computing for older users
A Study and Estimation a Lost Person Behavior in Crowded Areas Using Accelerometer Data from Smartphones
As smartphones become more popular, applications are being developed with new and innovative ways to solve problems in the day-to-day lives of users. One area of smartphone technology that has been developed in recent years is human activity recognition (HAR). This technology uses various sensors that are built into the smartphone to sense a person\u27s activity in real time. Applications that incorporate HAR can be used to track a person\u27s movements and are very useful in areas such as health care. We use this type of motion sensing technology, specifically, using data collected from the accelerometer sensor. The purpose of this study is to study and estimate the person who may become lost in a crowded area. The application is capable of estimating the movements of people in a crowded area, and whether or not the person is lost in a crowded area based on his/her movements as detected by the smartphone. This will be a great benefit to anyone interested in crowd management strategies. In this paper, we review related literature and research that has given us the basis for our own research. We also detail research on lost person behavior. We looked at the typical movements a person will likely make when he/she is lost and used these movements to indicate lost person behavior. We then evaluate and describe the creation of the application, all of its components, and the testing process
Design Of Two Step Deterministic Interleaver For Turbo Codes
The performance and design of a deterministic interleaver for short frame turbo codes is considered in this paper. The main characteristic of this class of deterministic interleaver is that their algebraic design selects the best permutation generator such that the points in smaller subsets of the interleaved output are uniformly spread over the entire range of the information data frame. It is observed that the interleaver designed in this manner improves the minimum distance of first few spectral lines of minimum distance spectrum. Finally we introduce a circular shift in the permutation function to reduce the correlation between the parity bits corresponding to the original and interleaved data frames to improve the decoding capability of MAP decoder. The design is focused on combining good permutations with de-correlation property. Our solution to design a deterministic interleaver outperforms the semi-random interleavers and the deterministic interleavers reported in the literature
Labour Market Dynamics in Pakistan: Evidence from the Longitudinal Data
The bulk of research on labour market conditions in Pakistan
has concentrated on the economic activity rate, the number of employed
persons, or the unemployment rate at a particular point in time. These
stock measures of labour market situation are useful from a policy
viewpoint as they give a broad indication of the dimension of the
problem. For example, the recent labour force surveys show an increase
in the level of open unemployment from 5.9 percent in 1997-98 to 7.8
percent in 1999-2000 [Pakistan (2001)]. There is also an emerging
consensus that during the 1990s poverty has increased at the national as
well as for rural and urban areas of the country [Qureshi and Arif
(2001)]. Labour market is considered as the main route for establishing
the link between macro policies, the resulting GDP growth and poverty
alleviation [Rahman (2002)]. Interim Poverty Reduction Strategy Paper
(IPRSP) and other development plans have suggested various targets of
employment creation for poverty reduction
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