Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive High Resolution Dead-Time Algorithm for Energy Efficiency in Power Converters

Power efficiency is now more than ever a major topic for systems, households, providers and governments. The amount of electronic devices has increased exponentially in the last decade, and the growth rhythm is not estimated to slow down. Due to the fact that most of the power production cannot be increased in an easy way, the stress of decreasing power consumption, increasing efficiency and decreasing the power-stage footprints is passed through to the system providers. The switching frequency of the power converters is driving the footprint reduction, by enabling smaller components (e.g. coils, capacitors, etc), but at the same time imposing another level of optimization in some power-converter variables. One of these variables that impacts the efficiency of the converter is linked to the output load variance and non-optimization of the dead-time in synchronous switching. This non dead-time optimization will decrease the synchronous converter efficiency, which means that the system providers need to cope with bigger footprint converters to achieve the efficiency wanted. This dissertation aims at developing an optimization algorithm for buck converters which can take advantage of a high resolution dead time control and by this increase the efficiency of the converter. The algorithm should be implemented in an XMC microcontroller from Infineon and it should be developed together with Infineon.
Construction of cDNA libraries from ripe and unripe Eksotika 2 papaya ( Pembinaan perpustakaan cDNA daripada buah betik

To enable the isolation of useful genes involved in the ripening process of Eksotika 2 papaya, two cDNA libraries were constructed from the ripe and unripe papaya. Both libraries were constructed using the λZAP cDNA synthesis kit and the λZAP XR vectors. The green fruit library yielded recombinant phage of 7.5 x 104 pfu/mL which was amplified to 9.0 x 109 pfu/mL while the ripe fruit library yielded recombinant phage of 3.19 x 105 pfu/mL and amplified to 4.4 x 1010 pfu/mL. The ripe fruit library was successfully used for the isolation of several important genes from ripe Eksotika 2 papaya. *Strategic, Environment and Natural Resources Research Centre, MARDI Headquarters, P. O. Box 12301, 50774 Kuala Lumpur, Malaysia Authors’ full names: Umi Kalsom Abu Bakar and Lam Peng Fatt e-mail: uab@mardi.my ©Malaysian Agricultural Research and Development Institute 1999 Introduction Ripening of fruits involves changes in gene expression resulting in the synthesis of new mRNAs in the tissues (Tucker and Grierson 1987). These mRNAs are called ripening related mRNAs as they encode all proteins required in the normal ripening process of the fruit. To study each of the ripening gene in greater detail, the mRNA present in the ripening fruit have to be cloned first. cDNA library construction is the most effective method of cloning the mRNAs present in a particular process. In a cDNA library construction, all mRNAs present during the process is extracted from the tissue and purified. The mRNA is then converted to a more stable form DNA by cDNA synthesis. The cDNA is then modified and joined to a vector. These are then encapsulated into
APPLICATION OF SEWAGE SLUDGE AND INFLUENCE ON SOIL PROPERTIES AND HEAVY METAL AVAILABILITY . A CASE STUDY IN THE THESSALONIKI PLAIN – GREECE

The amended soils chemical properties as affected by the application of a single dose of sewage sludge were evaluated over a one-year period. Three soil groups depending on pH values were examined. Data on pH, organic matter, CaCO3, electrical conductivity, exchangeable Ca and Mg and concentration of nine metals (Cd, Co, Cr, Pb, Zn, Ni, Fe, Mn, Cu) before the application of sewage sludge in 2013 and after the wheat growing period in 2014, were statistically analyzed. Results showed that the lime stabilized sewage sludge significantly increased the electrical conductivity, CaCO3 and Mg in all soil groups as well as pH and Ca of acidic soils, while the organic matter was not affected. The DTPA-extractable concentrations of most metals were significantly decreased. Zinc was the only metal that increased compared to the initial soil status. It is concluded that the application of lime stabilized sewage sludge to soils may be applied with no risk of increasing heavy metal bioavailability to phytotoxic levels. Further benefits to crops are provided by favoring pH conditions for plant growth in acidic soils and by improving plant nutrition via nitrogen addition. Moreover, the procedure can be an effective way of disposal of these residues.
Detection of automatically generated texts

Automatically generated text has been used in numerous occasions with distinct intentions. It can simply go from generated comments in an online discussion to a much more mischievous task, such as manipulating bibliography information. So, this thesis first introduces different methods of generating free texts that resemble a certain topic and how those texts can be used. Therefore, we try to tackle with multiple research questions. The first question is how and what is the best method to detect a fully generated document.Then, we take it one step further to address the possibility of detecting a couple of sentences or a small paragraph of automatically generated text by proposing a new method to calculate sentences similarity using their grammatical structure. The last question is how to detect an automatically generated document without any samples, this is used to address the case of a new generator or a generator that it is impossible to collect samples from.This thesis also deals with the industrial aspect of development. A simple overview of a publishing workflow from a high-profile publisher is presented. From there, an analysis is carried out to be able to best incorporate our method of detection into the production workflow.In conclusion, this thesis has shed light on multiple important research questions about the possibility of detecting automatically generated texts in different setting. Besides the researching aspect, important engineering work in a real life industrial environment is also carried out to demonstrate that it is important to have real application along with hypothetical research.
EXPERIMENTATION ON COMPOSITE BRAKE PADS WITH ALUMINUM REINFORCEMENT OF SIC AND FLYASH

The present work aims to develop Aluminium metal matrix composites by incorporating of reinforcements such that combination of best properties could be achieved. The metal base was selected was Aluminium 6061 and it is reinforced with varying volume percentage of Silicon carbide & Fly ash. These AMC were developed by using crucible casting technique, in which predetermined reinforcement is added to the molten matrix is stirred well to obtain desired castings. The Rockwell hardness and Impact tests revealed that composite with Sic10% Flyash 5% shows highest hardness value of 72 HRB and 11 Joules which is better than base alloy as well as tensile is more SiC 5% Flyash 5% shows highest Tensile strength value 144.34 N/mm2. Highly reinforced composites show higher hardness and Impact strength and Moderate tensile strength variations.
γ-Irradiation and Maillard reaction products ( MRPs ) effect on phenolic content , antiradical and volatile compounds of Sewi dates

Nowadays, the consumption of fruit and vegetables is widely regarded as important and good for health, epidemiological evidence suggests that a diet rich in fruits and vegetables promotes a lower incidence of chronic diseases such as cancer, cardiovascular disorders and diabetes (Kchaou et al., 2013). Indeed, date palm fruit possess antioxidant and antimutagenic properties in vitro and this is due, partly, to its high content of polyphenolic compounds and vitamins as important dietary constituents (Al-Turki et al., 2010). Date consumption, therefore, can a contribution to management of these degenerative oxidative diseases.
Percutaneous optical imaging system to track reporter gene expression from vasculatures in vivo

X. Yang Johns Hopkins University School of Medicine The Russell H. Morgan Department of Radiology and Radiological Science Baltimore, Maryland E-mail: xyang@mri.jhu. edu Abstract. This study develops a percutaneous optical imaging system for tracking fluorescent reporter gene expression in vasculatures. We build a percutaneous optical imaging system that primarily comprised a 1.5-mm, semi-rigid, two-port optical probe. The performance of the optical probe is first tested in vitro with cell phantoms, and then the feasibility of the percutaneous optical imaging system is validated in vivo in eight femoral artery segments of two pigs. The green fluorescent protein GFP gene is locally delivered into four arterial segments, while saline is delivered to the four contralateral arterial segments as controls. The targeted arteries are localized using color Doppler, and thereafter the optical probe is positioned to the target arterial segments under ultrasound guidance. Optical imaging captures are obtained using different exposure times from 10 to 60 s. Subsequently, the GFPand saline-targeted arteries are harvested for fluorescent microscopy confirmation. The percutaneous optical probe is successfully positioned at a distance approximately 2 mm from the targets in all eight arteries. The in-vivo imaging shows higher average signal intensity in GFP-treated arteries than in saline-treated arteries. This study demonstrates the potential using the percutaneous optical imaging system to monitor, in vivo, reporter gene expression from vasculatures. © 2006 Society of Photo-Optical Instrumentation Engineers. DOI: 10.1117/1.2209559
Assessment of a drag-porosity approach in modeling urban-like turbulent flows

This work presents the analysis of the turbulent characteristics developed over urban-like staggered cube arrays. The study proposes to use an obstacle-resolved and a drag-porosity large-eddy simulations. High order statistics and turbulent kinetic energy budget are analyzed for both approaches and compared to each other and to results from the literatures. One of the objectives is to evaluate the capacities and the limitations of a drag-porosity approach to reproduce unsteady turbulent flow over an urban canopy and to evaluate in details its performance. Mots clefs : turbulent flow, Large eddy simulation, turbulent kinetic energy budget, OpenFOAM, urban canopy.
Indexation to stems and words

This paper presents an extension of indexed constraints, such that they can apply not only to individual morphemes, but also to potentially complex constituents such as the stem. This modification allows us to capture a class of long-distance morphologically derived environment effects (MDEEs) that have been previously unexplained. MDEEs typically involve an exceptional phonological pattern that is lost under affixation. Formally, MDEEs are predicted if complex constituents such as stems are treated as lexically exceptional only when every morpheme contained within them is independently exceptional. This approach further predicts asymmetries between bare roots and affixed words, between roots and affixes, and between inflected and derived words. All other things being equal, the first of each pair is more likely to be exceptional in more contexts.
A Novel Combined Data-Driven Approach for Electricity Theft Detection

The two-way flow of information and energy is an important feature of the Energy Internet. Data analytics is a powerful tool in the information flow that aims to solve practical problems using data mining techniques. As the problem of electricity thefts via tampering with smart meters continues to increase, the abnormal behaviors of thefts become more diversified and more difficult to detect. Thus, a data analytics method for detecting various types of electricity thefts is required. However, the existing methods either require a labeled dataset or additional system information, which is difficult to obtain in reality or have poor detection accuracy. In this paper, we combine two novel data mining techniques to solve the problem. One technique is the maximum information coefficient (MIC), which can find the correlations between the nontechnical loss and a certain electricity behavior of the consumer. MIC can be used to precisely detect thefts that appear normal in shapes. The other technique is the clustering technique by fast search and find of density peaks (CFSFDP). CFSFDP finds the abnormal users among thousands of load profiles, making it quite suitable for detecting electricity thefts with arbitrary shapes. Next, a framework for combining the advantages of the two techniques is proposed. Numerical experiments on the Irish smart meter dataset are conducted to show the good performance of the combined method.
Measurement and identification of positive plant interactions : Overview and new perspective

Positive interactions play a key role in plant communities. The present study discusses measurement/identification methods of positive plant interactions. So far, some indices, e.g., RII, RCI, RNE and lnRR, and some models, e.g., site-based neighborhood models, individual-based models, etc., are usually used to measure and identify the type and strength of positive plant interactions. Most of these methods are based on interaction data of two species only. In a multi-species community or ecosystem, which occurs mostly in the nature, the interaction between two species is influenced by other species in the environment and may change as the time. Those indices and models may not exactly represent the true situations in the nature. Therefore, I argue that the inclusion of multi-species interactions in the network and utilization of theory and methods of network analysis and network evolution should be the focus in the future. The network evolution model, and correlationand network-based methods in relation to species interactions were introduced and discussed. Finally, I think that network thinking and selforganizology are the basis for the future research of complex and dynamic species interactions.
Centralized Stochastic Energy Management Framework of an Aggregator in Active Distribution Network

This paper develops a detailed and sequential procedure for short term operation of an aggregator to minimize the cost of the consumer and risk of the aggregator, which includes day-ahead (DA) and real-time (RT) operation. DA operation has two stages: consumer load scheduling and risk-based energy procurement. Consumer load scheduling implemented over a radial distribution network by a cost minimization objective function which considers electricity price and solar photovoltaic (PV) uncertainty, peak-to-average ratio, and phase unbalance. This model is formulated as a mixed integer nonlinear program. In the second stage, a risk-based energy procurement is formulated. Here, the aggregator has the choice of energy procurement from wholesale market, either in DA market or RT market, to meet the scheduled power. In RT operation, the aggregator takes a decision on share of RT purchases and battery schedules to minimize the cost of scheduled load power deviations. In order to realize this, a rolling window optimization is implemented, which is modeled as a mixed integer problem. The framework is demonstrated with a detailed case study of 15-node radial active distribution network consisting of 420 residential customers.
M A Survey of Agile Software Estimation Methods

Software measurement which mainly includes software cost and effort estimation is one of the most important activities in the software development process and it is still a critical and long standing issue, especially in agile software. There are few agile estimation methods and techniques proposed in the last 10 years such as story point (the main metric used in agile), planning poker and expert opinion. Many researches estimated cost, size and duration (CSD) for agile project by using traditional methods such as: COCOMO II, COSMIC, Function Point, etc with a little modification. Other researches an attempt to combine traditional estimation methods and agile estimation method such as Story point and FP. The main contribution of this paper is a general overview about agile software cost/size estimation methods that can show us the evolution in this field and covers most of the famous available and practiced parametric models founded on the literature. Also, this paper includes comments and discussion on the performance about the estimation models and description of several newer approaches for agile software cost estimation.
Patterns for Implementing Software Analytics in Development Teams

The software development activities typically produce a large amount of data. Using a data-driven approach to decision making – such as Software Analytics – the software practitioners can achieve higher development process productivity and improve many aspects of the software quality based on the insightful and actionable information. This paper presents a set of patterns describing steps to encourage the integration of the analytics activities by development teams in order to support them to make better decisions, promoting the continuous improvement of software and its development process. Before any procedure to extract data for software analytics, the team needs to define, first of all, their questions about what will need to be measured, assess and monitored throughout the development process. Once defined the key issues which will be tracked, the team may select the most appropriate means for extracting data from software artifacts that will be useful in decision-making. The tasks to set up the development environment for software analytics should be added to the project planning along with the regular tasks. The software analytics activities should be distributed throughout the project in order to add information about the system in small portions. By defining reachable goals from the software analytics findings, the team turns insights from software analytics into actions to improve incrementally the software characteristics and/or its development process.
Loughborough University Institutional Repository EMS systems : optimised sensor con gurations for control and sensor fault tolerance

The paper describes a sensor optimisation systematic framework approach and a Fault Tolerant control scheme for sensor failures applied to an EMS maglev system. The aim is to find the minimum number of sensors that can be used in order to optimise the performance, reduce complexity and offer sensor fault tolerance. The concept is verified via simulations with the non-linear model of an EMS system.
Toward a lightweight and efficient UAV‐aided VANET

Connectivity in a smart vehicular network is quite sensitive and highly affected by its dynamic network topology. Issues related to the intermittent nature of connectivity may arise due to the high mobility of nodes and network heterogeneity. In sparse areas, a vehicular network is basically a disruption‐tolerant network suffering from frequent disconnections, long delays, and messages loss. Facing these issues, and specifically for time‐sensitive applications, Unmanned Aerial Vehicle (UAV) can provide valuable assistance to Vehicular Ad Hoc Network (VANET) by assuming a relay node role between disconnected segments in the road. In such scenarios, effective communication is either between vehicles (V2V) or between vehicles and UAVs (V2U), which would form subsequently a UAV‐assisted vehicular network. In the present paper, we propose a new framework for using small UAVs as mobile infrastructure nodes in order to enhance the connectivity between vehicles. The first part of this framework accurately predicts the disconnected segments such that drones can be deployed to reestablish lost links. We have implemented a theoretical game for this prediction process. Furthermore, since the battery reserves of the UAVs are limited, we have proposed a mitigation technique based on game theory to reduce the power draining effects that a broadcast storm would have on the energy consumption of the network. For the validation of the proposed UVE (UAV‐aided VANET framework, with energy‐conscious constraints), we conducted thorough simulation scenarios with Network Simulator 3. The obtained performances are promising in the sense that our approach achieves high packet delivery ratio, low end‐to‐end delay, and low overhead communication costs.
Larval descriptions of fi ve Oriental bamboo-inhabiting Acroceratitis species ( Diptera : Tephritidae : Dacinae )

Third instar larvae of the genus Acroceratitis Hendel from North Thailand are described for the fi rst time. They belong to A. ceratitina (Bezzi), A. distincta (Zia), A. histrionica (de Meijere), A. incompleta Hardy, and A. septemmaculata Hardy. Short descriptions of eggs, empty egg shells, and puparia are also presented. Acroceratitis larvae infest shoots of bamboo (Poaceae). Larval host plants of the studied species are Bambusa polymorpha Munro, Cephalostachyum pergracile Munro, Dendrocalamus hamiltoni Nees and Arnott ex Munro, D. strictus (Roxbourgh), Dendrocalamus sp. (unidentifi ed) and Pseudoxytenanthera albociliata (Munro). The morphological characters of Acroceratitis larvae are compared with those of other Gastrozonini described so far. A key to Acroceratitis larvae is provided. Acroceratitis ceratitina, A. incompleta and A. septemmaculata are morphologically similar and clearly differentiated from A. distincta and A. histrionica by the lack of additional papillar sensilla on the labial lobe, the arrangement of the spinules on the creeping welts and other characters. The morphological differences between the two groups coincide with the type of substrate utilized by their larvae: A. ceratitina, A. incompleta and A. septemmaculata larvae feed in young and soft internode walls, while A. distincta and A. histrionica utilize harder bamboo tissue of already elongated bamboo shoot internodes. Acroceratitis histrionica larvae are special within the Gastrozonini, because they develop exclusively in cavities formed by the internode surface and the protecting culm sheath. Factors infl uencing spatial utilization of larval resources, preference for upright shoots as breeding substrate, larval behavior, types of bamboo damage caused by different species and attraction to sweat and urine in the adults are discussed.
’ s repository of research publications and other research outputs SenZi : A Sentiment Analysis Lexicon for the Latinised Arabic ( Arabizi ) Conference or Workshop Item

Arabizi is an informal written form of dialectal Arabic transcribed in Latin alphanumeric characters. It has a proven popularity on chat platforms and social media, yet it suffers from a severe lack of natural language processing (NLP) resources. As such, texts written in Arabizi are often disregarded in sentiment analysis tasks for Arabic. In this paper we describe the creation of a sentiment lexicon for Arabizi that was enriched with word embeddings. The result is a new Arabizi lexicon consisting of 11.3K positive and 13.3K negative words. We evaluated this lexicon by classifying the sentiment of Arabizi tweets achieving an F1-score of 0.72. We provide a detailed error analysis to present the challenges that impact the sentiment analysis of Arabizi.