Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors That Affect Taxpayers’ Adoption for Electronic Tax Service: The Case of Addis Ababa Taxpayers

Electronic tax service is one of the most useful instruments to increase revenue of government and taxpayers. However, only small numbers of taxpayers are using the service and others found to be reluctant to use electronic tax service. Therefore, the study was focused on factors that affect taxpayers’ adoption for electronic tax service in Addis Ababa. Two-stage sampling was employed to select sample respondents. Descriptive statistics and probit regression analysis were employed. The result shows that perceived usefulness, perceived risk, self-efficiency and timeliness were significant factors but, subjective norm is insignificant. Tax authorities should do on expanding the electronic tax service to other branches.
Torque ripple improvement for synchronous reluctance motor using asymmetric flux barrier arrangement

Interior permanent magnet synchronous motor (IPMSM) is a high efficient motor and operates in wide speed region; therefore it is used widely in industrial and home appliance applications. However, the torque ripple of synchronous motors such as IPMSM and synchronous reluctance motor (SynRM) is very large. The variation of magnetic resistance between flux barriers and teeth causes the torque ripple. In this paper, flux barriers are asymmetrically designed so that the relative position relation between outer edge of flux barriers and teeth may not be in agreement. As a result, torque ripple can be reduced dramatically.
Harmonic control of multiple-stator induction machines for voltage regulation

Bachelor of Science of Electrical Engineering, Massachusetts Institute of Technology, 2003 Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Engineering of Electrical Engineering and Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2004 @Massachusetts Institute of Technology, MMIV.
Charge equalization for series connected battery strings

A simple technique that provides charge equalization for a series string of battery cells is presented. The advantages of accurate charge equalization are very substantial and include reduced damage to battery cells in the stack, and a dramatic increase in battery life. The basic technique utilizes a single isolated DC/DC converter with a capacitive output filter along with a multiple co-axial winding transformer (CWT). The co-axial winding transformer is known for its low and controlled leakage inductance. The transformer leakage inductance is used as the main driving impedance to control the total charging current for the individual cells. The use of one low power converter to obtain charge equalization for the entire battery string is very attractive and leads to a low cost implementation. <<ETX>>
Proteochemometric Models Using Multiple Sequence Alignments and a Subword Segmented Masked Language Model

Proteochemometric (PCM) models of protein-ligand activity combine information from both the ligands and the proteins to which they bind. Several methods inspired by the field of natural language processing (NLP) have been proposed to represent protein sequences. Here, we present PCM benchmark results on three multi-protein datasets: protein kinases, rhodopsin-like GPCRs (ChEMBL binding and functional assays), and cytochrome P450 enzymes. Keeping ligand descriptors fixed, we evaluate our own protein embeddings based on subword-segmented language models trained on mammalian sequences against pre-existing NLP-based descriptors, protein-protein similarity matrices derived from multiple sequence alignments (MSA), dummy protein one-hot encodings, and a combination of NLP-based and MSA-based descriptors. Our results show that performance gains over one-hot encodings are small and combining NLP-based and MSA-based descriptors increases predictive performance consistently across different splitting strategies. This work has been presented at the 3rd RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry in September 2020.
CMOS Active Inductors and Transformers: Principle, Implementation, and Applications

Many new topologies and circuit design techniques have emerged recently to improve the performance of active inductors, but a comprehensive treatment of the theory, topology, characteristics, and design constraint of CMOS active inductors and transformers, and a detailed examination of their emerging applications in high-speed analog signal processing and data communications over wire and wireless channels, is not available. This book is an attempt to provide an in-depth examination and a systematic presentation of the operation principles and implementation details of CMOS active inductors and transformers, and a detailed examination of their emerging applications in high-speed analog signal processing and data communications over wire and wireless channels. The content of the book is drawn from recently published research papers and are not available in a single, cohesive book. Equal emphasis is given to the theory of CMOS active inductors and transformers, and their emerging applications. Major subjects to be covered in the book include: inductive characteristics in high-speed analog signal processing and data communications, spiral inductors and transformers modeling and limitations, a historical perspective of device synthesis, the topology, characterization, and implementation of CMOS active inductors and transformers, and the application of CMOS active inductors and transformers in high-speed analog and digital signal processing and data communications.
High aspect ratio transmission lines and filters

There are a significant number of microwave applications, where improvement of such qualities as manufacturing costs, size, weight, power consumption, etc. have attracted much research interest. In order to meet these requirements, new technologies can be actively involved in fabrication of microwave components with improved characteristics. One such fabrication technology is called LIGA (a German acronym with an English translation of lithography, electroforming, and moulding) that allows fabrication of high aspect ratio (tall) structures, and only recently is receiving growing attention in microwave component fabrication. The characteristics of high aspect ratio microstrip and coplanar waveguide (CPW) transmission lines are investigated in this thesis. Very low impedance high aspect ratio CPW transmission lines can be realized. A high aspect ratio microstrip folded half wavelength open loop resonator is introduced. Effective configurations for external and bypass gap coupling with open loop resonators are given. Filters with transmission zeros in the stopband, consisting of high aspect ratio single mode open loop resonators are presented to demonstrate the advantages of high aspect ratio structures in realizing lower external quality factors or tight coupling. The transmission zeros are created by novel coupling routings. Some of the filters are fabricated and the filter responses are measured to validate high aspect ratio coupling structures. High aspect ratio diplexers with increased channel isolation are also designed by appropriately combining filters with transmission zeros. A wideband bandpass filter design method, based on the electromagnetic bandgap (EBG) concept is introduced in this thesis. The wideband filters are miniaturized as a result of using the EBG concept in design. An EBG based wideband filter consisting of unit cells that are realized by using high aspect ratio CPW stepped impedance resonators is also presented. The main advantage of this approach is that the high aspect ratio CPW structures make short unit cells practically realizable, resulting in compact filter structure.
A Fast Forward Model for Simulating EMI Scattering with Realistic Sensors and Elongated Objects

Fast solutions for UWB electromagnetic induction (EMI) scattering from fundamental object shapes are of longstanding interest for sensing of metallic objects, e.g. underground unexploded ordnance (UXO) detection and discrimination. Researchers have recently developed the general formulation for an analytical solution for EMI scattering from a spheroid. The specialization based on Small Penetration Assumption (SPA) is designed to attack the high frequency difficulties that challenge many numerical techniques. This paper uses the new analytical techniques to explore scattering from spheroids and other objects, with excitation complicated by non-uniform fields. To perform the necessary decomposition of the transmitted primary field into spheroidal modes, we represent the transmitter by a set of magnetic dipoles, which dramatically increases efficiency. The performance of the SPA solution is evaluated by comparison with results from other numerical techniques and measured data. Comparison with measured data also indicates that EMI signals from some complicated objects can be approximated by those from spheroids with similar proportions, which is promising for applications requiring fast solutions, such as inversion processing.
Asymmetriskt påverkat beslutsfattande i IT-projekt

I avhandlingen beskriver Leif Marcusson vad som paverkar beslutsfattare da dessa ska fatta beslut i IT-projekt. Arbetet har mynnat ut i en modell, som beskriver asymmetrisk paverkan pa beslutsfattande. Eftersom modellen ar bade deskriptiv och normativ kan den anvandas for att beskriva och for att styra beslutsfattande. Ett beslut fattas av en eller flera personer i en viss situation, dar det aven kravs att det finns ett beslutsunderlag. Beslutet paverkas av en mangd olika faktorer - allt fran vader till ekonomi. De olika faktorerna ar indelade utifran om de paverkar beslutsunderlaget, individen eller beslutssituationen. Dessa tre delar innehaller i sig ett antal faktorsgrupper. Den forsta delen, Underlag, innehaller tva faktorsgrupper: den ena beskriver underlagets tydlighet och den andra beskriver effekten och nyttan av det fattade beslutet. Den andra delen, Individ, innehaller fyra faktorsgrupper. Dessa beskriver det som skapat individen, det som paverkar individen, det som paverkar individens framtid och det som paverkar gruppen. Den sista delen, Situation, innehaller tva faktorsgrupper, som beskriver det som styr situationen och det som paverkar den. Var och en av dessa faktorsgrupper bestar av ett antal faktorer, som i sin tur kan delas in i delfaktorer osv. Det finns med andra ord narapa oandligt manga faktorer, som kan paverka den som ska fatta ett beslut. Forstaelse for och insikt i modellen kan underlatta for beslutsfattare. Modellen ar forvisso skapad for IT-projekt, men den gar aven att anvanda i andra projekt och i linjeverksamhet.
The Research on User Modeling for Personalized Affective Computing

To improve the existing current user models, a novel based affective-based model that incorporates personality is proposed. To simulate the transitional process of emotions better, some important psychological factors are involved in this user model, such as personality influence, activation threshold, emotion elicitors, emotion decay, emotion interactions and so on. Moreover, on the basis of the model, a personalized user affective system is designed and implemented. The results show that our model complies with the nature law of human emotion and personality, and is superior to other current affective models.
Variable structure systems : from Principles to Implementation

* Part I: Sliding mode control theory * Chapter 1: Sliding mode control * Chapter 2: Sliding mode regulator design * Chapter 3: Deterministic output noise effects in sliding mode observation * Chapter 4: Stochastic output noise effects in sliding mode observation * Part II: New trends in sliding mode control * Chapter 5: Discrete-time VSS * Chapter 6: Robustness issues of 2-sliding mode control * Chapter 7: Sliding modes, delta-modulation and output feedback control of dynamic systems * Chapter 8: Analysis of sliding modes in the frequency domain * Chapter 9: Output tracking in causal nonminimum-phase systems using sliding modes * Part III: Applications of sliding mode control * Chapter 10: Sliding mode control and chaos * Chapter 11: Sliding modes in fuzzy and neural network systems * Chapter 12: SMC applications in power electronics * Chapter 13: Sliding modes in motion control systems * Chapter 14: Sliding mode control for automobile applications * Chapter 15: The application of sliding mode control algorithms to a diesel generator set * Chapter 16: Motion control of underwater objects by using second order sliding mode techniques * Chapter 17: Semiglobal stabilisation of linear uncertain system via delayed relay control
Use of continuously recorded trunk diameter fluctuation parameters as indicators of water status and actual growth of the vine

Trunk fluctuations are indicators of water balance and plant growth. The purpose of this study is to determine the trunk fluctuations that may be used to assess water status and real vine growth. Dendrometers were used at arm level, with measurements taking place every 30 minutes, in order to assess the maximum daily trunk contraction (CDT), the daily potential growth rate (TCP), and the daily real growth rate (TCR). Vapor pressure deficit (DPV) and crop evapotranspiration (ETc) were used as benchmark parameters. The obtained data was subjected to a Pearson’s coefficient correlation analysis (P-value ≤ 0,05) to identify the relationship that exists between the parameters derived from fluctuation, DPV, and ETc. We noted that CDT, TCP, and TCR showed a percentage determination with DPV of 15%, 29%, and 28% and ETc of 3%, 76%, and 77%, respectively. The percentage determination of DPV and ETc was 35%. The results indicated that CDT is a water stress indicator, except for the drying, where ETc and CDT show a negative correlation. TCR shows the real growth rate of the trunk diameter.
IMPACT OF PATIENT COUNSELING ON HEALTH KNOWLEDGE AND MEDICATION ADHERENCE IN ASTHMA AND CHRONIC OBSTRUCTIVE PULMONARY DISEASE PATIENTS

Objective: This study evaluated the impact of clinical pharmacist-led intervention in health knowledge and medication adherence of Asthma and chronic obstructive pulmonary disease (COPD) patients. Methods: Questionnaires were designed to assess Health knowledge for Asthma and COPD separately. Medication adherence was measured by using the Morisky Medication Adherence Scale-8. Pre-counseling patient responses were recorded. Patient counseling was given regarding the disease condition, medications, and medication use at baseline visit. Patient responses were re-measured upon follow-up visit. The data extracted were tabulated, statistically analyzed and the results were obtained. Results: A total of 141 patients completed the study. Before counseling, the mean (±standard deviation) of knowledge and adherence levels were found to be 8.51±3.36 and 5.01±2.11, respectively. After counseling, they increased up to 12.72±2.16 for knowledge (p<0.0001) and 6.60±1.35 (p<0.0001) for medication adherence. The majority of subjects had about 11–30% increase in knowledge as well as medication adherence. Male patients were more adherent to their medication regime than females. Conclusion: The study demonstrates the positive impact of education and counseling provided by a clinical pharmacist in achieving better therapeutic outcomes – through improvement in medication adherence and health knowledge. In conclusion, continuous education programs and patient counseling should be conducted for chronic diseases to reiterate the importance of medication adherence and, in turn, prevent recurrences, arrest disease progression, minimize hospitalization, and ultimately improve quality of life.
Betti numbers of stable map spaces to Grassmannians

Let M¯0,n(G(r,V),d)$\overline{M}_{0,n}(G(r,V), d)$ be the coarse moduli space of stable degree d maps from n‐pointed genus 0 curves to a Grassmann variety G(r,V)$G(r,V)$ . We provide a recursive method for the computation of the Hodge numbers and the Betti numbers of M¯0,n(G(r,V),d)$\overline{M}_{0,n}(G(r,V), d)$ for all n and d. Our method is a generalization of Getzler and Pandharipande's work for maps to projective spaces.
UrbanRhythm: Revealing Urban Dynamics Hidden in Mobility Data

Understanding urban dynamics, i.e., how the types and intensity of urban residents' activities in the city change along with time, is of urgent demand for building an efficient and livable city. Nonetheless, this is challenging due to the expanding urban population and the complicated spatial distribution of residents. In this paper, to reveal urban dynamics, we propose a novel system UrbanRhythm to reveal the urban dynamics hidden in human mobility data. UrbanRhythm addresses three questions: 1) What mobility feature should be used to present residents' high-dimensional activities in the city? 2) What are basic components of urban dynamics? 3) What are the long-term periodicity and short-term regularity of urban dynamics? In UrbanRhythm, we extract staying, leaving, arriving three attributes of mobility and use a image processing method Saak transform to calculate the mobility distribution feature. For the second question, several city states are identified by hierarchy clustering as the basic components of urban dynamics, such as sleeping states and working states. We further characterize the urban dynamics as the transform of city states along time axis. For the third question, we directly observe the long-term periodicity of urban dynamics from visualization. Then for the short-term regularity, we design a novel motif analysis method to discovery motifs as well as their hierarchy relationships. We evaluate our proposed system on two real-life datesets and validate the results according to App usage records. This study sheds light on urban dynamics hidden in human mobility and can further pave the way for more complicated mobility behavior modeling and deeper urban understanding.
Introduction to Aerospace Materials

The structural materials used in airframe and propulsion systems influence the cost, performance, and safety of aircraft, and an understanding of the wide range of materials used and the issues surrounding them is essential for the student of aerospace engineering. Introduction to Aerospace Materials reviews the main structural and engine materials used in aircraft, helicopters, and spacecraft in terms of their production, properties, performance, and applications. The first three chapters of the book introduce the reader to the range of aerospace materials, focusing on recent developments and requirements. Following these introductory chapters the book moves on to discuss the properties and production of metals for aerospace structures, including chapters covering strengthening of metal alloys, mechanical testing, and the casting, processing, and machining of aerspace metals. The next 10 chapters look in depth at individual metals including aluminum, titanium, magnesium, steel, and superalloys, as well as the properties and processing of polymers, composites, and wood. Chapters on performance issues such as fracture, fatigue, and corrosion precede a chapter focusing on inspection and structural health monitoring of aerospace materials. Disposal/recycling and materials selection are covered in the final two chapters. With its comprehensive coverage of the main issues surrounding structural aerospace materials, Introduction to Aerospace Materials is essential reading for undergraduage students studying aerospace and aeronautical engineering. It will also be a valuable resource for postgraduate students and practicing aerospace engineers.
PREDICTIVE AIDS IN AIR TRAFFIC CONTROL: SITUATION AWARENESS AND MENTAL WORKLOAD IMPLICATIONS

This paper looks at situation awareness and mental workload as it relates to the Free Flight concept. Free Flight is a fairly recent innovation that is aimed among other things at giving pilots more control over real time changes to flight paths and has raised many concerns amongst controllers regarding safety. A principal concern is a loss of the controller's picture that could result from aircraft deviating from flight plans without prior controller consent. Such a loss may compromise the ability of the controller to interven in the event that separation is lost between aircraft. This paper identifies potential adverse effects that the implementation of the shared separation concept may have on controller performance and proposes a modified interface that would aid in giving predictability back to the controller. A prototype interface is currently being developed at the University of Guelph and is representative of a combined data link and conflict detection aid that may be implemented as the progression is made towards transferring control from the ground to the air.
Improving the Space-Time Efficiency of Processor-Oblivious Matrix Multiplication Algorithms

Classic cache-oblivious parallel matrix multiplication algorithms achieve optimality either in time or space, but not both, which promotes lots of research on the best possible balance or tradeoff of such algorithms. We study modern processor-oblivious runtime systems and figure out several ways to improve algorithm's time bound while still bounding space and cache requirements to be asymptotically optimal. By our study, we give out sublinear time, optimal work, space and cache algorithms for both general matrix multiplication on a semiring and Strassen-like fast algorithm. Our experiments also show such algorithms have empirical advantages over classic counterparts. Our study provides new insights and research angles on how to optimize cache-oblivious parallel algorithms from both theoretical and empirical perspectives.
PRESTvO: PRivacy Enabled Smartphone Based Access to Vehicle On-Board Units

Smartphones are quickly moving toward complementing or even replacing traditional car keys. We advocate a role-based access control policy mixed with attributes that facilitates access to various functionalities of vehicular on-board units from smartphones. We use a rights-based access control policy for in-vehicle functionalities similar to the case of a file allocation table of a contemporary OS, in which read, write or execute operations can be performed over various vehicle functions. Further, to assure the appropriate security, we develop a protocol suite using identity-based cryptography and we rely on group signatures which preserve the anonymity of group members thus assuring privacy and traceability. To prove the feasibility of our approach, we develop a proof-of-concept implementation with modern smartphones, aftermarket Android head-units and test computational feasibility on a real-world in-vehicle controller. Our implementation relies on state-of-the-art cryptography, including traditional building blocks and more modern pairing-friendly curves, which facilitate the adoption of group signatures and identity-based cryptography in automotive-based scenarios.