Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis on Bending Performance of the Electro-Textile Antennas with Bandwidth Enhancement for Wearable Tracking Application

Frequency detuning issues in antenna operation due to structural deformation have become a concern, especially for flexible devices such as a textile antenna. Under deformed conditions such as during bending, the antenna might not operate at the desired frequency, causing performance degradation. Therefore, a 1.575 GHz textile antenna for GPS tracking application with defected ground structure is proposed in this paper to alleviate the frequency detuning issues and is demonstrated under two bending conditions, H-plane and E-plane. The implementation of DGS is expected to minimize the frequency detuning by increasing the bandwidth. Hence, the frequency detuning effects could be minimized under bent conditions with broader bandwidth and acceptable antenna performance. In this paper, a planar textile-based antenna with the dimension of 90mm (L) x 100mm (W) was designed, and three rectangular slots were applied at the ground to create DGS. A self-developed electro-textile and polyester were used as the antenna conductive material and substrate. Through the study, a detailed analysis was conducted for both antennas, with and without DGS. The significance of DGS in the proposed design is evaluated and clarified by comparing electric and magnetic field intensities in non-radiating and radiating edges. The detailed performance comparison were observed and analyzed through S-parameter, gain, radiation pattern, and current distribution. The technical performance of the proposed technique is validated through simulation and measurement. DGS implementation has improved the antenna bandwidth from 4.04% to 12.20%, with 1.45dB gain and 23.75% radiation efficiency. As a result, the antenna can operate at the desired frequency under both bending conditions. DGS method provides simplicity in its design, and this method has been widely used in conventional antennas previously. However, the detailed behaviour of field intensity around the non-radiating and radiating edges have not been demonstrated and analyzed. Therefore, the validation of the proposed design through a detailed analysis of E-field and H field intensity concerning antenna configurations; with and without DGS becomes the main contribution of this paper. In addition, the study of bending on different bending radius is also conducted in this paper.
An Emergency Load Shedding Optimization Algorithm Based on Differential Evolution Driven by Deep Transfer Learning

Emergency load shedding (ELS) optimization by the meta-heuristic algorithm is confronted with a heavy computing burden as time-domain simulation (TDS) is needed to evaluate individuals. In this paper, an ELS optimization algorithm based on differential evolution driven by deep transfer learning is proposed to decrease TDS times. First, an optimization model of ELS is established in a single scenario based on differential evolution. Then, a Deep Belief Network (DBN) model is deployed to evaluate load shedding schemes to speed up the optimization. Moreover, when scenarios are changed, transfer learning is utilized to update the DBN model, avoiding massive samples regeneration by TDS. Finally, the optimal load shedding scheme is rolling updated following scenarios change. A simplified provincial power grid verifies the effectiveness of the proposed algorithm.
Concentric Open End Rings Resonator Filter

In this paper, a single open ring resonator (ORR) fllter with three resonants within its equivalent circuit has been investigated. This fllter has a good response at ISM band from 3.13GHz to 5.56GHz. According to this fllter, a concentric double open end ring resonator fllter with an ultra wide band (UWB) behavior has been approached. The frequency response of this one is very appropriate up to 15GHz. The loop of the fllter constitutes both periodic self and mutual inductive-capacitive property between two rings which provides many resonants in these frequencies. The interconnections between these tanks are an important factor of its UWB behavior and they have overlap on each other impressively.
A Literary Framework for Coordinated Planning of Generation Transmission and Distribution

Power system planning must be prepared to match the growing percentage of intermittent renewable energy sources and current demand for electrical energy. The problem of deciding new generation resources and transmission lines that should be added to an existing power network in order to satisfy the growing demand efficiently, is one of the main strategic decisions in power systems and has a serious impact on the stability of the system. The traditional impact factor such as load variability, demand growth and electricity market prices plus the recent developments in power network, such as renewable distributed generations, demand side management and reserve availability have increased considerably the complexity of this problem. For the last several decades, a vast array of research works that deal with the different theoretical and practical aspects of the problem. This paper firstly gives a complete overview of coordinated power system planning considering source-source, source-network, source-load, source-network-load and source-storge respectively. According to the different aspects of integrated network planning, it proposes a taxonomy of solution methods for the coordinated planning problem. Moreover, not only traditional approaches, but also those involving uncertainties in generation and demand, reliability assessment, electricity markets, and energy storage are highlighted to establish a complete background. This is followed by a discussion of additional challenges and their solutions in the context of coordinated network planning. These alternatives are critically compared, providing with insights that can guide researchers or practitioners when undertaking this kind of studies.
The regenerative and anti-inflammatory capability of Prosopis Glandulosa

iv OPSOMMING . vi AKNOWLEDGEMENTS . viii LIST OF PUBLICATIONS AND CONFERENCE PROCEEDINGS . xix LIST OF FIGURES . xxii LIST OF TABLES . xxv LIST OF ABBREVIATIONS . xxvii LIST OF SYMBOLS. xxxvi DISCLOSURE OF INTEREST . xxxvii CHAPTER 1: BACKGROUND. 1 1.1 What is traditional medicine? 1 1.2 The role of traditional medicine in disease treatment . 2 1.2. 1 The advantages . 2 1.2. 2 The disadvantages . 5 Stellenbosch University http://scholar.sun.ac.za
Analysis of Open Circuit Voltage and Internal Degradation under External Factors for EV Battery Considering Hysteresis

The open circuit voltage (OCV) tests and internal potential degradation diagnosis for vehicle application under different external factors has significance in understanding the relationship between the state of charge/ state of health of the battery and the external factors. In this paper, an analysis method is proposed for the OCV hysteresis of battery (cathode: LiFePO4 under the different external factors, including mechanical stress and temperature under driving conditions. Firstly, the main phenomenon inside the battery and impedance calculation methodology (ICM) is introduced. The ICM is used to describe the impedance conditions of ohmic resistance, charge transfer resistance, and Warburg resistance under external factors. Then, many experimental tests are conducted to investigate the OCV hysteresis and internal resistances under external factors. Finally, the results demonstrate the OCV hysteresis is mainly affected by low temperature especially. The electrochemical impedance spectroscopy (EIS) is influenced by both the mechanical stress and the temperature. The -10 °C temperature effect and extrusion stress have a huge impact on ohmic resistance; the 40°C temperature effect and 6-DOF vibration stress have great impact on charge transfer resistance. The 10°C and 0°C temperature effects have tremendous influence to Warburg resistance. In addition, according to the relationship between internal resistances or external factors and potential aging mechanisms, potential aging effect and pertinent effect, the internal pertinent degradation can be diagnosed qualitatively.
Analysis and Design of Bidirectional Three-phase Triple-Voltage LLC (T2-LLC) Resonant Converter for Solid-State Transformer Application

In order to and improve the power density of solid-state transformer (SST), a novel bidirectional three-phase triple-voltage LLC (T2-LLC) resonant converter is studied in this paper, which possesses high terminal voltage and can help reduce the power submodules (SMs). Open-loop control method is employed to naturally realize bidirectional power flow naturally and improve the reliability. This paper emphasizes the design procedure of such T2-LLC converter. By analyzing the soft-switching conditions with time-domain method, design and optimization method of the LLC resonant tank is researched, to obtain lower power loss and stiff voltage conversion ratio. An 1000V/5kW simulation is conducted to validate feasibility of the proposed converter, and the full-load efficiency can reach nearly 98%.
Contemporary performance measurement systems

Cilj ovoga rada je dati pregled suvremenih modela za mjerenje organizacijskih performansi i elaborirati njihove pojedine karakteristike odnosno postupke pri njihovoj implementaciji. Suvremeni modeli za mjerenje organizacijskih performansi koji su analizirani u ovome radu su Balanced Scorecard, Prizma performansi, EFQM-ov model organizacijske izvrsnosti, Troskovi kvalitete, Troskovi aktivnosti, Model makroprocesa poduzeca, Tehnika strateskog mjerenja i izvjestavanja, Matrica za mjerenje performansi, Model kauzalnosti rezultata i njegovih determinanti. Osim elaboracije osnovnih odrednica navedenih modela, u ovome radu izvrsila se njihova sustavna i kriticna analiza te su na temelju toga donijeti određeni zakljucci o njihovim prednostima i nedostacima. Zajednicko svim navedenim modelima je pokusaj da mjerenje organizacijskih performansi približe i povežu sa strategijom i dugorocnom orijentacijom poduzeca. Međutim, i njihov zajednicki nedostatak je nepokrivanje svih dimenzija poslovanja. Iako rastuci broj istraživanja pokazuje da poduzeca koja koriste suvremene modele za mjerenje organizacijskih performansi ostvaruju bolje organizacijske rezultate, ipak u praksi ne postoji njihovo znacajno koristenje.
Prescriptivism on its own terms. Perceptions and realities of usage in Siegenbeek’s Lijst (1847)

ABSTRACT In 1847, one of the first professors of Dutch, Matthijs Siegenbeek (1774–1854), published a purist word list entitled Lijst van woorden en uitdrukkingen met het Nederlandsch taaleigen strijdende, ‘List of words and expressions at odds with the nature of Dutch’. In this pamphlet, he condemned a variety of loanwords and loan translations. Siegenbeek refers regularly to the usage of disapproved variants, employing a variety of quantifiers and sociolinguistic references. How well such statements reflect the linguistic reality, however, is a contentious issue in studies of prescriptivism. In this paper, we study Siegenbeek’s pronouncements about usage against the backdrop of Curzan’s concept of restorative prescriptivism. By studying the use of different types of quantifiers, and matching these to a text collection of historical fiction from the time, we show that Siegenbeek’s statements about usage miss the mark for most specific variables. However, when we look at the average usage frequency, we see that as frequency terms increase in strength, so do the number of condemned variants, both for relative frequency and absolute frequency. Based on these results, we argue for a re-evaluation of the relationship between prescriptivism and usage, and a reappreciation of prescriptivists’ frequency judgements.
Analysis of the Sub-µA Fully Integrated NMOS LDO for Backscattering System

A fully integrated NMOS low-dropout (LDO) voltage regulator with the ultra-low quiescent current tailored to RF backscattering systems is analyzed. A folded-cascode amplifier is used as the error amplifier implementation to obtain good performance in terms of the loop stability, line regulation, load regulation and power supply rejection ratio (PSRR). The NMOS LDO regulator is simulated in the 180 nm CMOS technology with a 6 nA quiescent current. The line and load regulations are respectively 0.003 mV/V and 8 mV/mA with only 1 pF load capacitor and maximum 10 µA load current. The PSRR is -67 dB at the low frequencies and -22 dB at 1 MHz.
Secondary Frequency and Voltage Regulation Strategy of Microgrid based on Virtual Synchronous Generator Technology

When the conventional energy storage system adopts the virtual synchronous generator (VSG) technology for primary frequency regulation and voltage regulation control, it can not solve the large frequency and voltage fluctuations of the microgrid in island operation due to the sudden increase and drop of load power or the adjustment of new energy generation power, which may eventually lead to the failure of microgrid from island operation to grid connection operation again. Therefore, secondary frequency and voltage regulation control is proposed to re-establish the active power frequency balance point and reactive power voltage balance point of microgrid system under island operation mode. Finally, the effectiveness of the proposed control strategy is verified by building a wind, light and storage combined microgrid simulation model on the simulation platform.
A Stochastic Optimal Dispatching for Thermal-Wind-Hydro-Storage Power System Considering Cascaded Hydropower System

With the massive construction of wind plants in the power system, the power balance is getting more and more difficult to maintain because of the uncertainties bringing by wind power. However, the above problems can be greatly alleviated by introducing a variety of flexible resources such as cascaded hydropower system (CHS) and energy storage. Therefore, a stochastic optimal dispatching model considering CHS and energy storage is proposed. Further, participation of thermal power plants (TPPs) in deep peak regulation is considered in the model which can improve the flexibility of the grid. The proposed model is performed through a modified 24-node test system with the CHS in the Wujiang River. The numerical result shows that the proposed method can improve renewable energy accommodation.
Distributed Adaptive Fault-Tolerant Secondary Control of Islanded Microgrids Under Actuator Faults and IQCs-Uncertainties

The increasing possibility of faults and attacks is one of the main cybersecurity problems in the distributed secondary control of microgrids (MGs). To alleviate the impacts of actuator faults and multiple uncertainties on the secondary control of islanded MGs, a novel distributed adaptive fault-tolerant control method is proposed. Firstly, compared with the existing research on the bounded uncertainties, this paper investigates a more general form of uncertainties that are restricted to integral quadratic constraints (IQCs), considering both the multiplicative fault term and the biased fault term of actuator faults. Then, based on the sparse communication network, the controllers are designed for the voltage/frequency restoration along with the accurate active power sharing, in the presence of actuator faults and IQCs-uncertainties. The stability of the proposed controllers is proved by the Lyapunov approach. Finally, simulation cases are provided to illustrate the effectiveness of the proposed control approach.
A Comparative Study between RTL and HLS for Image Processing Applications with FPGAs

Author(s): Gurel, Muhsin | Advisor(s): Kastner, Ryan | Abstract: High-level synthesis (HLS) and register transfer level (RTL) are two popular methods to design FPGAs. Both of methods have advantages and disadvantages: HLS provides ease of development, and is less prone to error. Thus, it reduces the development time significantly when designing a hardware system. On the other hand, RTL development enables the developer to make lower level design decisions which can increase the performance and efficiency of the system. Although there have been several studies on comparing HLS and RTL in terms of cost, performance, and area for higher level applications, these studies do not make a one-on-one comparison on the micro-architectural details of a given application. In this thesis, we take further steps to compare HLS and RTL by analyzing the lower level micro-architectural details in HLS and RTL designs for the same applications. We also provide guidelines on how to create these architectures efficiently in both methods. We investigate several image processing algorithms and their designs in RTL and HLS. The algorithms were selected based on their ubiquitous nature and widespread use in image processing applications. We show that if HLS is used to its full potential, it can achieve comparable level of performance as the systems designed using RTL.
A weighted bilinear neural collaborative filtering approach for drug repositioning

Drug repositioning is an efficient and promising strategy for traditional drug discovery and development. Many research efforts are focused on utilizing deep-learning approaches based on a heterogeneous network for modeling complex drug-disease associations. Similar to traditional latent factor models, which directly factorize drug-disease associations, they assume the neighbors are independent of each other in the network and thus tend to be ineffective to capture localized information. In this study, we propose a novel neighborhood and neighborhood interaction-based neural collaborative filtering approach (called DRWBNCF) to infer novel potential drugs for diseases. Specifically, we first construct three networks, including the known drug-disease association network, the drug-drug similarity and disease-disease similarity networks (using the nearest neighbors). To take the advantage of localized information in the three networks, we then design an integration component by proposing a new weighted bilinear graph convolution operation to integrate the information of the known drug-disease association, the drug's and disease's neighborhood and neighborhood interactions into a unified representation. Lastly, we introduce a prediction component, which utilizes the multi-layer perceptron optimized by the α-balanced focal loss function and graph regularization to model the complex drug-disease associations. Benchmarking comparisons on three datasets verified the effectiveness of DRWBNCF for drug repositioning. Importantly, the unknown drug-disease associations predicted by DRWBNCF were validated against clinical trials and three authoritative databases and we listed several new DRWBNCF-predicted potential drugs for breast cancer (e.g. valrubicin and teniposide) and small cell lung cancer (e.g. valrubicin and cytarabine).
Multi-Objective Optimal Dispatch of Smart Grid by Estimating Available Capacity of EV Aggregators

In recent decade, the vehicle to grid (V2G) technology makes the electric vehicles (EVs) become the potential energy storage capacity for alleviating the random fluctuation of the renewable energy power. The EV aggregator is the promising solution to aggregate enough capacity for the V2G. In this paper, a preliminary study of the multi-objective optimal dispatch of smart grid by estimating available capacity of EV aggregators is proposed. The behavior of EVs is described by a statistical model to estimate the maximum available capacity of EVs. Then, the multi-objectives and constrains are defined for the multi-objective optimal dispatch. The multi-objective genetic particle swarm optimizer is used to solve the high dimensional multi-objective optimization problem to obtain the Pareto front. The multi-objective optimization results show that the charging period of EVs is shifted to avoid load peak for the solved optimal dispatch.
INFLUENCE OF USER NEEDS AND SATISFACTION ON PATRONAGE OF REFERENCE SERVICES BY UNDERGRADUATES IN SELECTED UNIVERSITIES IN OSUN STATE, NIGERIA

Reference services have always been essential in academic libraries by meeting undergraduates’ information needs for enhanced academic achievement. It provides personalised information services to users in ensuring that their needs are adequately satisfied. However, in recent times, users’ satisfaction with reference services has become of great concern, as poor satisfaction of reference services will negatively affect subsequent use. There is dearth of scholarly research on patronage of reference services by undergraduates in Nigeria. The study, therefore, investigated the influence of users’ needs and satisfaction on the patronage of reference services by undergraduates in selected universities in Osun State, Nigeria. The survey research design was adopted for the study while questionnaire tagged “User Needs, Satisfaction, and Patronage of Reference Services (UNSPRS)” was used for data collection. Random sampling technique was used to select 400 out of 29,013 undergraduates in the selected universities in Osun State. Frequency counts, mean and standard deviation, correlation and multiple regression were used to analyse the data with hypotheses tested at 0.05 level of significance. The results showed that inadequate time for reference services, lack of current reference materials, poor service quality and unfriendly reference personnel affect the patronage of reference services by the undergraduates. Reference services were moderately patronised by the undergraduates. The mean analysis revealed that undergraduates of the selected universities showed a moderate need for reference services and are only moderately satisfied with the reference services available to them. There was positive significant relationship between user needs and patronage of reference services (r=0.455, P<0.05). There was also a significant relationship between user satisfaction and patronage of reference services (r=0.422, P>0.05). The study recommended that the university libraries in Osun State should provide useroriented reference services that will meet the users’ needs and increase patronage by undergraduates.
NeuroVP: A System-Level Virtual Platform for Integration of Neuromorphic Accelerators

Executing neural network (NN) applications on general-purpose processors result in a large power and performance overhead, due to the high cost of data movement between the processor and the main memory. Neuromorphic computing systems based on memristor crossbars, perform the NN main operation i.e., vector-matrix multiplications (VMM) in an efficient way in the analog domain. Thus, they circumvent the costly energy overhead of its digital counterpart. It can be expected that neuromorphic systems will be used initially as complements to current high-performance systems rather than as a replacement. This paper presents NeuroVP, a virtual platform integrating a neuromorphic accelerator, developed in SystemC that can model functionality, timing, and power consumption of the components integrating the system. Using NeuroVP to evaluate performance and power consumption at the electronic system level (ESL), it is corroborated that the execution of NN applications with a neuromorphic accelerator yields of up to 46x higher power efficiency and 26x speedup relative to a general-purpose computing system.