Miracle-dz/UniFAR-FTUs huggingface dataset:
FMCW radar algoritme ontwikkeling

Dit document beschrijft de ontwikkeling van een detectie en classificatie algoritme voor een sensormodule. Deze sensormodule maakt gebruik van een radarmodule en een video camera. Dit project is uitgevoerd ten behoeve van het Bachelor afstudeerproject Electrical Engineering aan de TU Delft. Deze sensormodule had als doel het detecteren en classificeren van mensen in een spooromgeving, dit om koperdiefstal en suicidale pogingen tegen te gaan. De algoritmiek is ontwikkeld ten behoeve van een radarmodule, die werkt op Frequency-Modulated Continuous Wave radar. Deze radar is ingesteld op een Fast-Ramp-FMCW stuursignaal. De inkomende radardata wordt succesvol gesegmenteerd en na verwerking worden hieruit verschillende spectrogrammen gecreeerd ten opzichte van de tijd, de radius en het Doppler domein. Het radius-Doppler spectrogram wordt gebruikt voor de detectie van objecten aan de hand van een vaste drempelmap die uit gaat van een RCS-, ruis- en clutterbijdrage. Deze drempelmap is per module anders en is succesvol geimplementeerd voor de K-MC1 radarmodule van RF Beam. Vanuit de drempeloverschrijdingen wordt er, met behulp van binaire morphologie, filtering gedaan van de gedetecteerde objecten welke geen breed snelheidsspectrogram hebben en dus geen bewegend mens kunnen zijn. Hierna wordt de snelheid en radius bepaald waarop de overgebleven objecten zich bevinden. Op deze radius worden de objecten geclassificeerd met behulp van het Doppler-tijd spectrogram. Deze classificatie gebeurt aan de hand van de snelheid van het object en de herhaalfrequentie van het menselijke patroon in het Doppler-tijd spectrum. Dit werkt succesvol voor mensen die lopen. Verder maakt de sensormodule gebruik van een video camera die beelden schiet als er een mens geclassificeerd is op basis van de radarsensor. Van deze beelden wordt een HOG beschrijving gemaakt en met behulp van een Support Vector Machine, ter verificatie, geclassificeerd als mens of geen mens. Dit werkt afhankelijk van de eigenschappen van het aangeboden beeld, als een mens zich volledig en in het midden van het beeld bevindt zijn de detectie eigenschappen goed. Voor situaties waarin mensen niet volledig of aan de zijkant van het beeld staan zijn er nog verbeteringen mogelijk. Voor het algoritme zijn er nog vele uitbreidingen mogelijk, het algoritme werkt nu op basis van het Fast-Ramp-FMCW stuursignaal en zou nog uitgebreid kunnen worden voor andere type lineaire stuursignalen. Verder kan het algoritme nog uitgebreid worden om ook rennende mensen correct te classificeren en kan er gebruikt gemaakt worden van een adaptieve drempelmap.
EVALUATION OF HIGH-EFFICIENCY mc-Si CELL PROCESSING TECHNOLOGIES REGARDING ENVIRONMENTAL IMPACT AND INDUSTRIAL APPLICABILITY

Due to the impressive growth rate of the photovoltaic industry in the last years, it has become of increasing importance to assess solar cell production processes for its environmental impact. This work compares in detail the environmental impact of equipment, consumed materials and waste treatment in several high-efficiency mc-Si cell processing sequences developed within the European project TOPSICLE. Amongst others, we critically analysed the advanced isotextured process for up to 17% efficient cells based on screen-printing proposed by ECN, the angled buried contact (ABC) process and a hybrid buried contact / screen printing process, both proposed by the University of Konstanz. The evaluated data is compared with that of a state-of-the-art industrial screen-printing process. The publicly available results might serve as a useful decision tool for planning future solar cell production lines with respect to environmental impact and industrial applicability.
Universities in Africa: Working on Excellence for Whom? Reflections on Teaching, Research, and Outreach Activities at African Universities

This article discusses the current dynamics at African universities concerning the quality of teaching, the role of research, the level of community outreach, and the position of higher education in the educational sector as a whole. Points of reference are experiences at the University of the North in South Africa as well as experiences at universities in other African countries such as Uganda, Tanzania, Mozambique, and Ghana. One of our central conclusions is that the system of education in Africa in general, and higher education in particular, is highly dysfunctional, especially in terms of wasted human capacity as well as financial resources. African higher education institutions cannot close their eyes to the immense skills shortage and the frightening percentages of (youth-) unemployment. This leads to the recommendation that the responsibilities of a university concerning the generation of relevant new knowledge, preparing students adequately as active citizens for the challenges in the labour market, contributing to the development of communities, and fostering critical thinking need to be given high priority.
The importance of cigarette pack sizes in determining the daily consumption of cigarettes

The extensive literature on smoking behaviour has focused on numerous aspects such as the factors that influence the decision to start smoking and, for those who smoke, what factors influence their level of consumption and the decision to quit. This study considers the impact of cigarette pack sizes on the typical daily consumption by smokers. Presented at the Australasian Meeting of the Econometric Society 2003, hosted by the Centre for Applied Economic Research, University of New South Wales.
A Survey on Extraction Approach for Spam Filtering

With the growth of networking the usage of mails are also enhanced. Due to rapid growth of internet, dependency of communication is mostly based on electronics mails for both commercial and business purposes. According to today's scenarios electronics mails are also plays vital role in marketing or production advertisement. Hence numerous marketing firms used e- mails as a tool for promoting their products and services. These types of mails are generally called spam mails. Sometimes it is quite difficult to identify important mails among such group of spam mails. Because of this identification of such types of mails are essential so that they can keep away from important mails. In this paper we are presenting various techniques that are used spam filtering.
Analytical methods in herpesvirus genomics

Abstract Genomics is a branch of bioanalytical chemistry characterized as the study of the genome structure and function. Genome represents the complete set of chromosomal and extrachromosomal genes of an organism, a cell, an organelle or a virus. There are at least five from eight species of herpesviruses commonly widespread among humans, Herpes simplex virus type 1 and 2, Varicella zoster virus, Epstein-Barr virus and Cytomegalovirus. Human gammaherpesviruses can cause serious diseases including B-cell lymphoma and Kaposi’s sarcoma. Diagnostics and study of the herpesviruses is directly dependent on the development of modern analytical methods able to detect and determine the presence and evolution of herpesviral particles/ genomes. Diagnostics and genomic characterization of human herpesvirus species is based on bioanalytical methods such as polymerase chain reaction (PCR), DNA sequencing, gel electrophoresis, blotting and others. The progress in analytical approaches in the herpesvirus genomics is reviewed in this article.
BrIM implementation for documentation of bridge condition for inspection

Bridge condition inspection data provide critical and rich information for assessing structural condition. Currently, the majority of bridge inspection methods use printed checklists, and their interpretation is labor intensive, subject to personal judgment, and prone to error. To realize the full benefits of bridge inspections, there is a need to automate the data management process. This study implements Bridge Information Modeling (BrIM) technology for bridge inspections and compare it to the conventional approach of paper checklists. The environment combines a 3D representation of the infrastructure, and allows the integration of inspection data, such as the presence, type, severity, and localization of damage and previous maintenance decisions. In this paper, we use the acronym BrIM to refer to the database that integrates a 3D bridge model and bridge element condition data. In order to validate our approach, we obtained 2D drawings and previous inspection and maintenance data from two bridges located in Ames, Iowa, and modeled them using Revit. We then synced both models using cloudbased solutions so that we could access them from tablet computers on-site. Then, we tested the BrIM based inspection methodology with Iowa DOT engineers and bridge inspectors, who confirmed that BrIM can be used to automatically query, sort, evaluate and send information to decision makers. Furthermore, we conducted a short survey with several DOT engineers and bridge inspectors regarding with possible expected benefits of using 3D BrIM based solutions for inspections. It is concluded that this methodology will substantially improve bridge assessment and maintenance operations, resulting in reduction of costs associated with bridge assessment, and improvement structural resiliency by enabling more effective maintenance and repair operations.
New Practice Creation: An Institutional Perspective on Innovation

Neoinstitutionalists have developed a rich array of theoretical and empirical insights about how new practices become established via legitimacy and diffusion, but have paid scant attention to their origins. This blind spot has been reinforced by recent work on institutional entrepreneurship which has too often celebrated the actions of a single or small number of actors, and deflected attention away from the emergent, multilevel nature of how new kinds of activities emerge and provide a foundation for the creation of a new practice. In this paper, we examine the case of the creation of active money management practice in the US mutual fund industry, drawing on both institutional and practice scholarship, to develop a process model of new practice creation that redirects attention toward the multiplicity of actors that interactively produce change.
Eclipsing events in the binary system of the asteroid 90 Antiope

CCD observations of the binary asteroid 90 Antiope were carried out at four observatories (Borowiec, Pic du Midi, Kharkiv, and Chateau Renard) on 26 nights from October 2001 through February 2002. The results show a two-component lightcurve with each showing the same period of 16.505 ± 0.002 hours. The first component (with the amplitude of 0.10 mag) is associated with the rotation of two non-spherical bodies of the system; the second one, showing two sharp minima (with the amplitude in the range 0.05-0.12 mag, depending linearly on the phase angle) is due to eclipses in the binary system. The lightcurve suggests a synchronous rotation. The orientation of the system's orbit has been determined from the analysis of both the amplitudes and the duration of the eclipses. Some predictions of the possibility of observations of the eclipsing events during future oppositions have also been made.
Proximate Composition, Texture Performance and Sensory Evaluation of Lindur Fruit-Potato Simulation Chips Enriched With Shrimp (Penaeus Vannamei) Shell Powder

Study aimed to investigate the utilization of shrimp shell powder in the production of lindur fruit-potato simulation chips, which was assessed using proximate composition, texture performance and sensory evaluation parameters. Three different ratios of lindur fruit-potato flour (w/w) (30:70, 40:60 and 50:50), as well as different concentrations of shrimp shell powder (0, 1, 3 and 5%) were used in the formula. The results showed that lindur fruit-potato simulation chips enriched with shrimp shell powder had 3.22-4.42% moisture content, 3.33-4.94% ash content, 3.77-5.83% protein content, 14.59-19.04% fat content, 71.06-76.34% carbohydrate content and 341.4-530.9 g/cm2 hardness. Ratio lindur fruit flour and potato flour of 40:60 as well as 3% of shrimp shell powder was chosen as the best treatment since the formula produced lower hardness, higher protein content and the most crispy and tasty chips preferred by panelists.
The balancing act of template bank construction: inspiral waveform template banks for gravitational-wave detectors and optimizations at fixed computational cost

lter frequency band, can be optimized for detection. We also show how the minimal match can be optimally chosen in the case of limited computational resources. These techniques are applied to searches for binary neutron star signals that have been previously performed when analyzing Initial LIGO and Virgo data and will be performed analyzing Advanced LIGO and Advanced Virgo data using the expected detector sensitivity. By following the algorithms put forward here, the volume sensitivity of these searches is predicted to improve without increasing the computational cost of performing the search.
COMPARISON OF BALLISTIC AND NON-BALLISTIC LOWER-BODY RESISTANCE EXERCISE PERFORMANCE. DETERMINING THE POSITIVE LIFTING PHASE

This study compared differences between ballistic jump squat (B) and non-ballistic back squat (NB) exercise. Vertical ground reaction force (GRF) and barbell kinematics were recorded during B and NB performance with 45% of one repetition maximum, and force, velocity and power averaged over positive lifting phases using traditional peak barbell displacement and positive impulse methods. No significant differences were found between B and NB mean force, velocity, power or relative acceleration duration, challenging common perceptions of B superiority for power development. The positive impulse method significantly increased mean values, and the end of the phase was identifiable from peak velocity, which is common to both B and NB resistance exercise.
The Role of Multiple Reference Effects in Restaurant Evaluations: A Cross-cultural Comparison

This study examines multiple reference effects in customers’ service evaluation regarding dining experiences in restaurants. Specifically, the present study explores the antecedent role of three reference points: focal, other, self-based and satisfaction in the development of customer satisfaction and loyalty. Additional insight into the link between reference points and customer satisfaction is provided by examining the moderating effects of the cultural orientation of customers: South Korea (Eastern, collectivist, high uncertainty avoidance culture) versus America (Western, individualist, low uncertainty avoidance culture). Overall, the results indicated that U.S. customers’ evaluations regarding restaurant consumption experiences are significantly different from those of Korean customers. Disconfirmation had a stronger effect on Korean customers than U.S. customers, whereas attractiveness of alternatives had a stronger effect on American customers than Korean customers. Finally, the authors will discuss potential theoretical and managerial implications of this study.
Numerical modelling of shoreline evolution in the Aveiro coast, Portugal – climate change scenarios

ABSTRACT Pereira, C. , Coelho, C. , Ribeiro, A. , Fortunato, A. , Lopes, C.L. and Dias, J.M. , 2013. Numerical modelling of shoreline evolution in the Aveiro coast, Portugal – climate change scenarios In the Northwest coast of Portugal, the shoreline evolution is leading to several problems, such as loss of territory and infrastructural damages, mainly caused by the sea wave's action. This study aims to predict the impacts of climate change on the shoreline evolution in this coastal area. Coastal stretches studied were Esmoriz-Furadouro and Vagueira-Mira, due to their vulnerability related with the low lying sandy coast, the deficit of sediments, the presence of urban waterfronts and the narrow width of the sand spit that separates the ocean from the Aveiro lagoon. The paper describes the application of two shoreline evolution models (LTC and GENESIS) to the projection of shoreline evolution between 2010 and 2100. A reference scenario considering the present typical wave climate and the mean sea water level was compared with 3 other future scenarios that may result from climate change effects, combining different wave climates and mean sea levels (0.42 and 0.64 m above present level). Considering the numerical models' results, maps of the shoreline position were represented every 30 years. The results allowed the analysis of the shoreline retreat, the areas of lost territory and the alongshore sediment transport volumes in several cross sections. A strong trend of shoreline retreat was found for all the scenarios, although the retreat rates tend to decrease along time. Comparing the reference scenario with the climate change scenarios, a slight clockwise rotation of the shoreline was predicted, also increasing the average shoreline retreat from 6% to 11%, depending on the considered scenario.
Precision of estimators in interval censored parametric survival models

Recently, several advances have been made in the analysis of interval censored (IC) data mainly in relation to semi-parametric proportional hazard (PH) models (Gomez et al., 2009, Lesaffre et al., 2005). It is arguable, however, that the parametric case has been somewhat neglected, overall, and that more can be learned, especially in relation to non-PH models. Accordingly, we focus on simple parametric models for interval censored survival data arising in longitudinal RCTs. For the exponential regression model we compare the performance of a general likelihood with commonly used proxy likelihoods, which ignore the interval censoring by treating the interval censored times to events as if they were exact. We show analytically that use of proxy likelihoods leads to estimators which are artificially precise and we quantify the extent of the resulting biases in a simulation study and by analyzing real data. We also compare the likelihoods using non-PH models and obtain different findings.
Üst Bilişsel Farkındalık, Zekâ, Problem Çözme Algısı ve Düşünme İhtiyacı Arasındaki Bağlantılar

In this research study, relationships among metacognitive awareness, intelligence, perceived problem solving and need for cognition, and these variables’ influences on metacognition are investigated. The study was conducted on 108 (68 female and 39 male) university students. RSPM, MAI, PSI and NCS were used. Findings show that metacognition, problem solving, and need for cognition are significantly correlated; however, intelligence and each variable are not. Stepwise regression analysis results reveal that intelligence and need for cognition alone cannot predict metacognition; nevertheless the three variables explain 43% of variability in metacognitive level, and each contributes significantly to the variance’s variability. This results, and partial correlation findings, show that every variable is effective at a different level in explaining metacognitive level. However, they also support each other’s influences. Consequently, as intelligence levels of individuals who enjoy complex cognitive activities and believe they can solve personal problems decrease, their metacognitive levels increase.
The Effect of Using Video Technology on Improving Reading Comprehension of Iranian Intermediate EFL Learners

With the development of educational technology, the concept of technology-enhanced multimedia instructions is using widely in the educational settings. Technology can be employed in teaching different skills such as listening, reading, speaking and writing. Among these skills, reading comprehension is the skill in which EFL learners have some problems to master. Regarding this issue, the present study aimed at investigating the effect of video materials on improving reading comprehension of Iranian intermediate EFL learners. A Longman Placement Test was administered to 30 EFL learners to ensure that learners are at the same level of proficiency. The students were chosen from the state high schools in Chabahar. The participants were regarded as intermediate learners and were divided into two groups (one experimental group and one control group). Then, a pre-test of reading comprehension was administered to assess the participants’ reading comprehension. The participants of experimental group used video files to improve their reading comprehension while the control group received conventional approaches of teaching reading comprehension. Finally, all the participants were assigned a 40-item multiple-choice reading comprehension post-test. The results of the study indicated that video materials had a significant effect on promoting reading comprehension of Iranian intermediate EFL learners (p = .000, <.05).
Degradation analysis in the estimation of photometric redshifts from non-representative training sets

We perform an analysis of photometric redshifts estimated by using a non-representative training sets in magnitude space. We use the ANNz2 and GPz algorithms to estimate the photometric redshift both in simulations and in real data from the Sloan Digital Sky Survey (DR12). We show that for the representative case, the results obtained by using both algorithms have the same quality, using either magnitudes or colours as input. In order to reduce the errors when estimating the redshifts with a non-representative training set, we perform the training in colour space. We estimate the quality of our results by using a mock catalogue which is split samples cuts in the r band between 19.4 < r < 20.8. We obtain slightly better results with GPz on single point z-phot estimates in the complete training set case, however the photometric redshifts estimated with ANNz2 algorithm allows us to obtain mildly better results in deeper r-band cuts when estimating the full redshift distribution of the sample in the incomplete training set case. By using a cumulative distribution function and a Monte Carlo process, we manage to define a photometric estimator which fits well the spectroscopic distribution of galaxies in the mock testing set, but with a larger scatter. To complete this work, we perform an analysis of the impact on the detection of clusters via density of galaxies in a field by using the photometric redshifts obtained with a non-representative training set.
Prevalence and Antibiotic Resistance of Listeria monocytogenes Isolated from Ready-to-Eat Foods in Turkey

The aim of the present study was the determination of the prevalence and antibiotic resistance of L. monocytogenes in ready-to-eat (RTE) foods in Ankara, Turkey. In order to detect and isolate L. monocytogenes from 201 RTE food samples, the EN ISO 11290:1 method was used. All isolates were identified using the polymerase chain reaction. The strains were also confirmed by the detection of the hemolysin gene (hlyA). The overall prevalence of L. monocytogenes was 8.5% among the food samples. Seventeen L. monocytogenes strains were examined by the disk diffusion assay for their resistance to 23 antibiotics. All strains were susceptible to erythromycin, clarithromycin, streptomycin, gentamicin, vancomycin, imipenem, trimethoprim, and chloramphenicol, while all strains were resistant to nalidixic acid, ampicillin, penicillin G, linezolid, and clindamycin. The higher resistance was found against oxacillin (94.1%), kanamycin (76.5%), levofloxacin (70.6%), and teicoplanin (64.7%), followed by amoxicillin/clavulanic acid (53.0%), rifampicin (47.1%), and ciprofloxacin (35.3%). A lower incidence of resistance was observed against tetracycline (5.9%), meropenem (5.9%), and trimethoprim/sulfamethoxazole (17.7%). All isolates were multidrug resistant showing resistance to at least three antibiotic classes. High L. monocytogenes prevalence among analyzed RTE foods represents a high risk for public health. Our findings show a high prevalence of L. monocytogenes in RTE foods in Turkey. More effective control strategies for L. monocytogenes are needed to reduce both prevalence and resistance of L. monocytogenes in Turkish RTE foods.