Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Digital Control for MPP Tracking and Output Voltage Regulation of Partially Shaded PV Modules in DC Bus and DC Microgrid Systems

The integration of photovoltaic (PV) modules into dc microgrids relies on the capabilities of maximum power point (MPP) tracking and output voltage regulation (OVR). Under partial shading or mismatches between PV submodules, accurate global MPP tracking and efficient OVR are challenging processes. For global MPP tracking, the distributed MPP tracking is a potential solution but comes at the expense of increased system complexity. For the OVR, operating the PV module in its current source region would result in rather high power losses in the converter circuit and, thus, in increased heat accumulation. The existence of multiple current source regions in the mismatched PV characteristics complicates the control design. The novel digital controller for module integrated converters developed here supports the effective integration of mismatched and partially shaded PV modules while employing a minimal number of sensors. The proposed double-stage global MPP tracking algorithm realizes fast and accurate MPP tracking with neither periodic scanning nor oscillations around the optimum. For the OVR, the algorithm targets the reduction of the converter power losses through effective allocation of the PV operating point. A prototype of the control is realized as a proof of concept.
Experimental and theoretical study of line mixing in methane spectra. I. The N2-broadened ν3 band at room temperature

Line-mixing effects have been studied in the ν3 band of CH4 perturbed by N2 at room temperature. New measurements have been made and a model is proposed which is not, for the first time, strictly empirical. Three different experimental set ups have been used in order to measure absorption in the 2800–3200 cm−1 spectral region for total pressures in the 0.25–2 and 25–80 atm ranges. Analysis of the spectra demonstrates the significant influence of line mixing on the shape of the Q branch and of the P and R manifolds. A model is proposed which is based on state-to-state collisional transfer rates calculated from the intermolecular potential surface with a semiclassical approach. The line-coupling relaxation matrix is constructed from these data and two additional parameters which are fitted on measured absorption. Comparisons between measurements and spectra computed accounting for and neglecting line mixing are made. They prove the quality of the approach which satisfactory accounts for the effects of press.
The Crisis of Company Networks and Tools for its Prediction

Purpose – The present scientific research proposes to investigate the theme of the crisis of the company with particular reference to those belonging to networks and, in this connection, seeks to identify some tools for predicting it. In this direction a useful tool for understanding a network’s state of health of its relations with stakeholders would appear to be network analysis. Methodology/approach – The research, qualitative in nature, was developed through the study of national and international literature. Findings – The research presents much theoretical evidence of what the study of business network might provide. Originality/value – This approach will consider some empirical evidence in the field of business networks.
Exogenous Nitric Oxide Enhances Root Activity, Decreases H2O2 Accumulation by Increasing Activities of CAT and GR in Root of Potato cv. Desiree under Water-stress

We studied water content, H2O2 content, antioxidant enzymes activities of different organs and root activity in potato cv. Desiree pretreated with NO under water-stress. It was found that the bound water content in root and root activity was significantly increased by treating NO before water-stress. Pretreatment with NO decreased the H2O2 content and raised activities of CAT and GR significantly in roots under water-stress. The results suggested that NO might enhance the resistance to water-stress in potato.
Machine Learning of European Portuguese Grapheme-To-Phone Conversion using a Richer Feature Set

In this study evaluation of two self-learning meth- ods (MBL and TBL) on European Portuguese grapheme-to- phone conversion is presented. Combinations (parallel and cascade) of the two systems were also tested. The usefulness of using syllable related information in machine learning ap- proaches is also investigated. Systems with good performance were obtained both using a single self-learning method and combinations. Best performance was obtained with MBL and the parallel combination. The use of syllable information con- tributes to a better performance in all systems tested, being the effect significant statistically. Our best machine based systems present Word Error Rate and Mean Normalized Levenshtein Distance similar to those recently obtained for German when using similar features. Resumo - Neste trabalho, sao testados dois metodos de apren- dizagem automatica (MBL e TBL), bem como combinacoes destes metodos (em paralelo e em cascata), aplicados a tarefa de conversao grafema-fone do Portugues Europeu. E ainda investigado o interesse em utilizar informacao silabica neste tipo de abordagem automatica. Os melhores resultados sao alcancados com o MBL e uma combinacao dos dois metodos em paralelo. Em todos os sistemas testados, a inclusao de in- formacao relativa a silaba contribui para uma melhoria do desempenho, sendo a diferenca estatisticamente significativa. Os sistemas com desempenhos mais elevados apresentam uma taxa de erro e uma Distância de Levenshtein similar a recen- temente obtida para o Alemao, usando os mesmos modelos de treino.
Potential impacts of wintertime soil moisture anomalies from agricultural irrigation at low latitudes on regional and global climates

Anthropogenic water management can change surface energy budgets and the water cycle. In this study, we focused on impacts of Asian low‐latitude irrigation on regional and global climates during boreal wintertime. A state‐of‐the‐art Earth system model is used to simulate the land‐air interaction processes affected by irrigation and the consequent responses in atmospheric circulation. Perturbed experiments show that wet soil moisture anomalies at low latitudes can reduce the surface temperature on a continental scale through atmospheric feedback. The intensity of prevailing monsoon circulation becomes stronger because of larger land‐sea thermal contrast. Furthermore, anomalous upper level convergence over South Asia and midlatitude climatic changes indicate tropical‐extratropical teleconnections. The wintertime Aleutian low is deepened and an anomalous warm surface temperature is found in North America. Previous studies have noted this warming but left it unexplained, and we provide plausible mechanisms for these remote impacts coming from the irrigation over Asian low‐latitude regions.
Short reflections on the history of African communication

This article aims to propose a chronological subdivision in the history of African communication. African communication today is one of the most important axes for implementing development strategies, sustaining education, health, and schooling programmes, and so on. However, many of these programmes fail due to a lack of or ineffective communication between international organisations, local elite and lay people. The reasons for this situation must be found in Africa’s history of communication, which has undergone radical transformations in its different phases. Using the functionalist analysis drawn up by Jakobson, this article proposes a new chronological subdivision of Africa’s history of communication, reflecting on the current contradictions in contemporary communication in Africa.
PageSeer: Using Page Walks to Trigger Page Swaps in Hybrid Memory Systems

Hybrid main memories composed of DRAM and NonVolatile Memory (NVM) combine the capacity benefits of NVM with the low-latency properties of DRAM. For highest performance, data segments should be exchanged between the two types of memories dynamically—a process known as segment swapping—based on the access patterns to the segments in the program. The key difficulty in hardwaremanaged swapping is to identify the appropriate segments to swap between the memories at the right time in the execution. To perform hardware-managed segment swapping both accurately and with substantial lead time, this paper proposes to use hints from the page walk in a TLB miss. We call the scheme PageSeer. During the generation of the physical address for a page in a TLB miss, the memory controller is informed. The controller uses historic data on the accesses to that page and to a subsequently-referenced page (i.e., its follower page), to potentially initiate swaps for the page and for its follower. We call these actions MMU-Triggered Prefetch Swaps. PageSeer also initiates other types of page swaps, building a complete solution for hybrid memory. Our evaluation of PageSeer with simulations of 26 workloads shows that PageSeer effectively hides the swap overhead and services many requests from the DRAM. Compared to a state-of-the-art hardware-only scheme for hybrid memory management, PageSeer on average improves performance by 19% and reduces the average main memory access time by 29%. Keywords-Hybrid Memory Systems; Non-Volatile Memory; Virtual Memory; Page Walks; Page Swapping.
Size and type of places, geographical region, satisfaction with life, age, sex and place attachment

The topic of the article concerns the issue of place attachment and its determinants. An analysis of place attachment was performed in terms of place identity and place dependence (Williams, Vaske, 2003). Moreover, links between place attachment and selected geographical (size and type of place, geographical region), demographic (age, sex) and psychological (satisfaction with life) variables were investigated. The study group included 759 respondents: 398 women and 361 men, aged 18–83 years, residing in 74 places in the Silesian Province, a region in Poland: in 10 sub-regions in the Upper Silesian conurbation and outside the conurbation. The study used the Place Attachment Scale (Williams, Vaske, 2003), the Satisfaction with Life Scale (Diener, Emmons, Larsen, Griffin, 1985) and a personal information section containing questions regarding place of permanent residence, sex and age. Results showed that subjects residing in smaller and non-industrial places had a stronger place attachment than those residing in larger and industrial cities. People living outside the Upper Silesian conurbation were more strongly attached to their place of residence in terms of place identity than those residing in the Upper Silesian conurbation. People living in the Zagłębie (industrial) sub-region were more strongly attached in terms of place dependence than those residing in the Bytom sub-region (devastated with high unemployment). Satisfaction with life was positively correlated with place attachment. Older subjects were more strongly attached to their place of residence. Men and women did not differ in the sense of place attachment and life satisfaction.
Enabling Data Analytics Workflows using Node-Local Storage

The convergence of high-performance computing (HPC) and Big Data is a necessity with the push towards extreme-scale computing. As HPC simulations become more complex, the analytics need to process larger amounts of data, which poses significant challenges for coupling HPC simulations with Big Data analytics. This poster presents a novel node-local approach that uses a workflow management system (WMS) to enable the coupling between the simulations and the analytics in scientific workflows by leveraging node-local non-volatile random-access memory (NVRAM).
The Importance of “Contextualisation” in Small and Medium-Sized Firms Valuation: Evidences from an Italian Case Study

The valuation of a small or medium-sized enterprise through subjective methods, may not exclude a correct contextualisation of the data forming the information base of the estimate. “Contextualisation” refers to the general overview of all those elements that allow a proper definition of the enterprise’s background. All of this serves in the analysis for the correct data necessary for the determination of values such as the economic and financial flows to discount, the timeframe of analysis and the discount rate. Without a correct contextualisation, it is not possible to reach a correct measurement of the company value in accordance with the studies on the “theory of value”. After observing that “contextualisation” has not been widely studied till now for the theory of value, the present work analyses the incidence on the measurement of the company value, showing with an empirical case the different results that may be reached on the basis of the contextualisation of data. Hence, a correct “contextualisation” is crucial for the proper valuation of a company. Academic researches should take more carefully into consideration, this aspect concerning the valuation of a company and in particular, define more accurately the implementing rules in the assessment methods.
Modeling Dependence and Risk in High Dimensions with Static and Dynamic Factor Copulas

In this study we1 examine multiple models for the dependence structure (copulas) of economic variables based on a latent factor structure. We differentiate between three types of copulas, allowing for a degree of time-varying dependence in increasing order: static, block-dynamic and GAS-dynamic copulas. After an extensive simulation study, the models are applied to daily returns on 50 constituents of the S&P 100 index. We compare various static and dynamic dependence models by their ability to create risk forecasts for the Value at Risk (VaR) and Expected Shortfall (ES). We find significant evidence of asymmetric dependence and tail dependence, implying that dependence is stronger during crises than in booms. We also show that factor copula models provide superior estimates of some risk measures, with the Skew t− t factor copula being most consistent.
A Proposed Non Linear Block Based Approach for Image De-Noising Using Wavelet

Coding of images or processing of images has played a momentous role in the success of digital communications and multimedia. Coding plays a major role is 3D mobile generation. The image processing methods have been exploited through the years to improve the quality of digital images. In the image processing system De-noising based coding is used extensively. As we know that, in low bit rate applications, the blocking artifacts problem arises, which severely reduce the visual quality of the image. Reducing blocking artifacts is essential to render the compressed visual data acceptable to the viewer. So, to detect and reduce noise from the image is a major task. So removing the noise from original signal is still a challenging problem for researchers. There have been several published algorithms and each approach has its assumptions, advantages, and limitations. For real-time applications like television, photo-phone, etc. it is essential to reduce the noise power as much as possible and to retain the fine details and the edges in the image as well. Moreover, it is very important to have very low computational complexity so that the filtering operation is performed in a short time for online and real-time applications. The main focus of this paper is first to define an algorithm and based on that a non linear threshold filter is described which not only preserve the actual image structures in the presence of different types of noises (Salt & peepers, Speckle and Gaussian Noise) as well as it provide better PSNR, MSE, MAE, & Time Complexity than others Classical algorithms.
On modelling assistive technology systems - Part I: Modelling framework

There has been increasing recognition of the importance and benefits to society of social inclusion and the full participation of disabled people. Many countries have also enacted legislation aimed at removing discrimination against disabled people. Removing barriers to full participation by disabled people will require the development of new assistive technology systems and improved information and distribution systems for existing assistive technologies. This will require an effective and ongoing dialogue between the disabled end-user community, social services, the clinical rehabilitation services, and the professional engineering disciplines involved in the development, provision, assessment, and ongoing support for assistive technology. To support this dialogue there is a need for common terminology, concepts, and definitions, embedded within a single, unified model framework. This paper presents the Comprehensive Assistive Technology (CAT) model, which was designed to meet this need.
Voice Control on Smart TV Using Farsi Speech Recognition

We demonstrate a Farsi voice control system which enables a user to op- erate a smart TV through a microphone mounted in a remote controller. In partic- ular, users can easily control 451 smart TV commands such as power on/off, chan- nel/volume change, and TV application access. The developed Farsi voice control system is based on Farsi automatic speech recognition (ASR) in a server-client sce- nario with TCP/IP protocol (1). At a client side, a smart TV captures user's speech and sends raw speech to an ASR server. Then, at the server side, the transmitted speech is decoded using a Farsi ASR system and the smart TV performs actions corresponding to the recognized word. The Farsi ASR system is developed in a weighted finite state transducer (WFST) using the Kaldi open source speech recog- nition toolkit (2). Here, mel-frequency cepstral coefficients with cepstral mean nor- malization are used as recognition feature, and sub-space Gaussian mixture models (SGMMs) (3) are trained with 120 hours Farsi speech data.
All-Region MOS Model of Mismatch due to Random Dopant Placement

This paper presents a study of drain current matching in MOS transistors. A new model for MOS transistor mismatch is summarized, using the carrier number fluctuation theory to account for the effects of local doping fluctuations. CMOS test structures were designed and fabricated to allow an extensive experimental work, where current mismatch was measured under a wide range of bias conditions. The model shows good fitting with measurements over a wide range of operation conditions, from weak to strong inversion, from linear to saturation region, and allows the assessment of mismatch from process and geometric parameters.
ASSESSMENT INDEX TOOL FOR GREEN HIGHWAY IN MALAYSIA

Green highway is a highway project that has been designed and constructed with the sustainability requirements and global standard. Basically, green highway is one of the major parts for sustainable concept where three major aspects are addressed which are economic, social and environment. The main focus for economic aspect is to increase profitability by making more efficient use of resources especially material, improve the quality of life by fulfilling the nation’s need for social aspect while protecting the environment from the impact of CO 2 emission and using of natural resources efficiently for the purpose of environment aspect. Therefore, it is important for highway stakeholders to incorporate sustainable criteria in their projects. The implementation of sustainable concept in highway needs to be evaluated by green highway rating tool assessment. Thus, the purpose of this study is to establish a tool to assess and certify a green highway in Malaysia. The data for this study was obtained through group discussion with highway experts and questionnaires that were distributed to identify the sustainability factors. Then the data were analyzed using factor analysis method. The findings of this study indicated that, there are five major sustainable factor which are Sustainable Design and Construction Activities, Social and Safety, Energy Efficiency, Environmental and Water Management and Material and Technology that are included in the development of green highway rating system.
Estimation of Joint Distribution of Demand and Available Renewables for Generation Adequacy Assessment

In recent years there has been a resurgence of interest in generation adequacy risk assessment, due to the need to include variable generation renewables within such calculations. This paper will describe new statistical approaches to estimating the joint distribution of demand and available VG capacity; this is required for the LOLE calculations used in many statutory adequacy studies, for example those of GB and PJM. The most popular estimation technique in the VG-integration literature is `hindcast', in which the historic joint distribution of demand and available VG is used as a predictive distribution. Through the use of bootstrap statistical analysis, this paper will show that due to extreme sparsity of data on times of high demand and low VG, hindcast results can suffer from sampling uncertainty to the extent that they have little practical meaning. An alternative estimation approach, in which a marginal distribution of available VG is rescaled according to demand level, is thus proposed. This reduces sampling uncertainty at the expense of the additional model structure assumption, and further provides a means of assessing the sensitivity of model outputs to the VG-demand relationship by varying the function of demand by which the marginal VG distribution is rescaled.
The performance of text similarity algorithms

Text similarity measurement compares text with available references to indicate the degree of similarity between those objects. There have been many studies of text similarity and resulting in various approaches and algorithms. This paper investigates four majors text similarity measurements which include String-based, Corpus-based, Knowledge-based, and Hybrid similarities. The results of the investigation showed that the semantic similarity approach is more rational in finding substantial relationship between texts.
PREVALENCE OF SPINE DEFORMITY AMONG 7-11 YEAR OLD CHILDREN

Objective. The spine has a number of important roles in the human body. The curves of the spine are often used to characterize the posture. The aim of this study was to estimate the prevalence of the spine deformities among the youngest school-age children, as well as to find differences in the prevalence of those disorders among children of different gender, age and nutritional status. Methods. Two doctors, specialists of orthopedics, inspected spine posture of 229 children from Belgrade elementary schools, in order to assess the prevalence of kyphosis, scoliosis, lumbar hyperlordosis and torticollis. Binary logistic regression was used to assess the influence of gender, age and nutritional status on the existence of deformities. Results. The study included a total of 229 subjects (mean height of 138.4±9.6 cm, weight 33.9±8.5 kg, body mass index 17.5±2.6 kg/m2). Prevalence of different types of spine deformities in examined population was: without deformities 76.9% (n=176) and with deformities 23.1% (n=53). The prevalence of different types of spinal deformities was as following: torticollis 0.4% (n=1), kyphosis 10.5% (n=24), scoliosis 5.2% (n=12), hyperlordosis 9.2% (n=21). The age, sex and body mass index did not have a significant influence on prevalence of this deformity. Conclusion. Regular yearly school medical examination should be enough for detection of spine deformities at their onsets. The cooperation between physicians and physical education teachers must be enhanced and classes of physical education should be more oriented towards prevention and treatment of postural deformities of the youngest.