Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Firm Performance using Data Envelopment Analysis Technique : a Study of Firms in India

Modern firms get financial support from a wide section of society, particularly retail investors, who invest in a firm through its initial public offering (IPO) or purchase its debentures. Whether it be individual shareholder, domestic financial institutions, foreign institutional investors or others, all expect an attractive return on investment primarily through receipt of dividends and appreciation in stock prices. Management of firms on their part are aware that they have to conduct their business to earn sufficient profits to satisfy the needs of investors and of course meet all expenses.
Collaborative Filtering Techniques for Document Modeling

Collaborative filtering (CF) makes predictions about user preferences for items (e.g., movies, products, restaurants) by exploiting the similarity patterns across users. CF represent users as the set of items they consumed. Similarly, documents are often represented as their set of words. Document modeling methods and CF have however evolved mostly separately. In this work, we apply older and more recent CF methods to the document modeling field. Interestingly, we find those approaches learn more transferable latent representation of documents over the popular Neural Variational Document Model [Miao et al., 2016], as highlighted by the important gains on a document classification transfer task. Lastly, we provided a qualitative analysis of the latent variables in exposure matrix factorization [Liang et al., 2016] when applied to documents.
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams

有流的数据的采矿是在数据采矿的一个热话题。 当在数据流上执行分类时，传统的分类算法例如 ID3 和 C4.5，由于流的数据的特征在两时空基于判定树有相对差的效率。 当使用随机的判定树时，在时空有一些优点。 为采矿数据流的一个增量算法， SRMTDS (为数据流的半随机多重判定树) ，基于随机，判定树在这篇论文被建议。 Hoeffding 的不平等围住选择最小的 SRMTDS 使用裂口例子，为获得数值属性的裂口阀值计算信息获得的探试法，和 Na 数 ? 估计树的班标签的 ve Bayes 离开。 我们的广泛的试验性的学习证明 SRMTDS 及时有改进表演，与 VFDTc 比较的空间，精确性和反噪音能力，为分类数据流的一个最先进的决定树算法。 电子增补材料这篇文章(doi:10.1007/s11390-007-9084-9 ) 的联机版本包含增补材料，它对授权用户可得到。
Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image

Machine learning algorithms reported to be robust and superior to the conventional parametric classifiers have been recently employed in object-based classification. Within these algorithms, ensemble learning methods that construct set of individual classifiers and combining their predictions to make final decision about unlabelled data have been successfully applied. In this study, performance and effectiveness of a novel ensemble learning algorithm, rotation forest (RotFor) aiming to build diverse and accurate classifiers, was investigated for the first time in object-based classification using a WorldView-2 (WV-2) satellite image. Also, the combination of satellite imagery and ancillary data (i.e. normalized difference vegetation index and principal components) were assessed. Random forest (RF), support vector machine (SVM) and nearest neighbour (NN) algorithms were also used as benchmark classifiers to evaluate the power of RotFor. The classification results confirmed that integration of ancillary data increased the classification accuracy in comparison to using solely spectral bands of WV-2. While RotFor and SVM generally produced similar results, they outperformed the RF and NN based on McNemar’s and Wilcoxon’s signed-rank test of statistical significance results.
Fiber Optic Sensors for Dynamic and Long Term Structural Monitoring

From many points of view, fiber optic sensors are the ideal transducers for civil structural monitoring. Being durable, stable and insensitive to external perturbations, they are particularly interesting for the long-term health assessment of civil structures. Many different fiber optic sensor technologies exist and offer a wide range of performances and suitability for different applications. Europe has been on the forefront of fiber optic sensor development and a number of systems have matured to full commercial exploitation and routine application in structural health monitoring. This contribution reviews some of these systems and technologies and briefly presents some significant application examples.
Tag clouds in software visualisation.

Developing and maintaining software is a difficult task, and finding effective methods of understanding software is more necessary now than ever with the last few decades seeing a dramatic climb in the scale of software. Appropriate visualisations may enable greater understanding of the datasets we deal with in software engineering. As an aid for sense-making, visualisation is widely used in daily life (through graphics such as weather maps and road signs), as well as in other research domains, and is thought to be exceedingly beneficial. Unfortunately, there has not been widespread use of the multitude of techniques which have proposed for the software engineering domain. Tag clouds are a simple, text-based visualisation commonly found on the internet. Typically, implementations of tag clouds have not included rich interactive features which are necessary for data exploration. In this thesis, I introduce design considerations and a task set for enabling interaction in a tag cloud visualisation system. These considerations are based on an analysis of challenges in visualising software engineering data, and the perceptive influences of visual properties available in tag clouds. The design and implementation of interactive system Taggle based on these considerations is also presented, along with its broad-based evaluation. Evaluation approaches were informed by a systematic mapping study of previous tag cloud evaluation, providing an overview of existing research in the domain. The design of Taggle was improved following a heuristic evaluation by domain experts. Subsequent evaluations were divided into two parts — experiments focused on the tag cloud visualisation technique itself, and a task-based approach focused on the whole interactive system. As evidenced in the series of evaluative studies, the enhanced tag cloud features incorporated into Taggle enabled faster visual search response time, and the system could be used with minimal training to discover relevant information about an unknown software engineering dataset.
Scale efficient organizations

The authors suggest that scale efficiency in an organization is the result of four constituents: autonomous agents, parallel activity, asynchronous communications, and certain consensus-producing mechanisms. The first three of these constituents are reasonably easy to obtain using existing computer technologies. The authors conjecture that the consensus-producing mechanisms can be very simple. Two that have been identified are social instincts (where agents adopt the approaches of their most successful neighbors) and a destructor mechanism (where a subset of agents is made responsible for destroying work they deem to be inferior). The destructor mechanism has been demonstrated with the traveling salesman problem. <<ETX>>
Development of reactive extractants for the isolation of carboxylic acids.

Bacteria and yeasts are extraordinarily selective converters of sugar to a variety of products (including alcohols and carboxylic acids). One of the biggest challenges for the implementation of any fermentation technology on a large industrial scale is the low concentration of the products obtained in the aqueous fermentation broth. Reactive extraction is a relatively new technology for the selective removal of fermentation products from mixtures. For this purpose, functionalised hydrophobic reactive extractants with certain physicochemical properties are required. Hence, this paper aims to introduce the concept of reactive extraction as a chemo-technological platform of the sugarcane biorefinery, and describes the possible functionalities and properties required for efficient reactive extraction, by using a carboxylic acid (levulinic acid) as a case study.
Environmental Classification of Urban Pedestrian Walkways

This work is developed in the framework of urban design where we try to understand, to characterize then to qualify the env iro mental quality of urban open spaces along pedestrian walkways. So, we propo se an analysis and a classification method applied to pedestrian walkway s, taking into account their environmental characteristics. Analysis method is b a ed on Discrete Wavelet Transform (DWT) in which we exploit the detailed ve rsion of the signal representing the evolution of a physical factor of environment along the walkway. This method leads to a segmentation of the signal. Then, a classification technique called Agglomerative Hiera rchical Clustering (AHC) is performed to identify classes of walkways in ter ms of environmental features.
Journal of Software Maintenance and Evolution: Research and Practice Integrated Development and Maintenance for the Release, Delivery, Deployment, and Customization of Product Software: a Case Study in Mass-market Erp Software

SUMMARY The maintenance of enterprise application software at a customer site is a complex task for software vendors. This complexity results in a significant amount of work and risk. This article presents a case study of a product software vendor that tries to reduce this complexity by integrating product data management (PDM), software configuration management (SCM), and customer relationship management (CRM) into one system. The case study shows that by combining these management areas in a single software knowledge base, software maintenance processes can be automated and improved, thereby enabling a software vendor of enterprise resource planning software to serve a large number of customers with many different product configurations.
PENTrack — a simulation tool for ultracold neutrons , protons , and electrons in complex electromagnetic fi elds and geometries

Modern precision experiments trapping low-energy particles require detailed simulations of particle trajectories and spin precession to determine systematic measurement limitations and apparatus deficiencies. We developed PENTrack, a tool that allows to simulate trajectories of ultracold neutrons and their decay products—protons and electrons—and the precession of their spins in complex geometries and electromagnetic fields. The interaction of ultracold neutrons with matter is implemented with the Fermi-potential formalism and diffuse scattering using Lambert and microroughness models. The results of several benchmark simulations agree with STARucn v1.2, uncovered several flaws in Geant4 v10.2. 2, and agree with experimental data. Experiment geometry and electromagnetic fields can be imported from commercial computer-aided-design and finite-element software. All simulation parameters are defined in simple text files allowing quick changes. The simulation code is written in C++ and is freely available at github.com/wschreyer/PENTrack.git.
Combining bottom trawl and acoustic data to model acoustic dead zone correction and bottom trawl efficiency parameters for semipelagic species

We present a modeling method that combines acoustic and bottom trawl abundance measurements and habitat data to estimate acoustic dead zone (ADZ) correction and bottom trawl efficiency parameters. Bottom trawl and acoustic measurements of walleye pollock (Theragra chalcogramma) abundance and available habitat data from the eastern Bering Sea are used to illustrate thismethod. Our results show that predictions of fish abundance in the ADZ can be improved by incorporating bottom habitat features such as depth and sediment particle size, as well as pelagic habitat features such as water temperature, light level, and current velocity. We also obtain predictions for trawl efficiency parameters such as effective fishing height, densitydependent trawl efficiency, and catchability ratio between trawl and acoustic data by modeling bottom trawl catches as a function of acoustic measurements and the environmentally dependent ADZ correction. We conclude that catchability of walleye pollock for either survey is spatially and temporarily variable. Ourmodelingmethod can be applied to other semipelagic species to obtain estimates of ADZ correction and bottom trawl efficiency parameters. Résumé : Nous présentons une approche de modélisation qui combine des mesures d'abondance par relevé acoustique et au chalut de fond à des données sur l'habitat pour estimer les paramètres de correction pour la zone aveugle du faisceau acoustique (ADZ) et les paramètres relatifs à l'efficacité du relevé au chalut de fond. L'application de la méthode est illustrée à l'aide de mesures d'abondance de la goberge de l'Alaska (Theragra chalcogramma) provenant de relevés au chalut de fond et de relevés acoustiques et des données disponibles relatives à l'habitat pour l'est de la mer de Béring. Nos résultats démontrent que l'intégration de caractéristiques de l'habitat de fond comme la profondeur et la granulométrie des sédiments, ainsi que de caractéristiques de l'habitat pélagique comme la température de l'eau, l'intensité de la lumière et la vitesse du courant, peut améliorer les prédictions d'abondance de ce poisson dans l'ADZ. Nous avons également obtenu des prédictions des paramètres d'efficacité du relevé au chalut comme la hauteur de pêche effective, l'efficacité du relevé en fonction de la densité et le rapport de capturabilité entre les données de relevés au chalut et celles de relevés acoustiques enmodélisant les prises au chalut de fond en fonction desmesures de relevés acoustiques et d'un facteur de correction pour l'ADZ dépendant dumilieu. Nous en concluons que la capturabilité de la goberge pour l'un ou l'autre des types de relevé varie dans l'espace et dans le temps. Notre méthode de modélisation peut être appliquée à d'autres espèces semipélagiques afin d'obtenir des estimations du facteur de correction pour l'ADZ et des paramètres d'efficacité du relevé au chalut de fond. [Traduit par la Rédaction]
Modeling Self-Occlusions/Disocclusions in Dynamic Shape and Appearance Tracking for Obtaining Precise Shape

Modeling Self-Occlusions/Disocclusions in Dynamic Shape and Appearance Tracking for Obtaining Precise Shape We present a method to determine the precise shape of a dynamic object from video. This problem is fundamental to computer vision, and has a number of applications, for example, 3D video/cinema post-production, activity recognition and augmented reality. Current tracking algorithms that determine precise shape can be roughly divided into two categories: 1) Global statistics partitioning methods, where the shape of the object is determined by discriminating global image statistics, and 2) Joint shape and appearance matching methods, where a template of the object from the previous frame is matched to the next image. The former is limited in cases of complex object appearance and cluttered background, where global statistics cannot distinguish between the object and background. The latter is able to cope with complex appearance and a cluttered background, but is limited in cases of camera viewpoint change and object articulation, which induce self-occlusions and self-disocclusions of the object of interest. The purpose of this thesis is to model self-occlusion/disocclusion phenomena in a joint shape and appearance tracking framework. We derive a non-linear dynamic model of the object shape and appearance taking into account occlusion phenomena, which is then used to infer self-occlusions/disocclusions, shape and appearance of the object in a variational optimization framework. To ensure robustness to other unmodeled phenomena 5 that are present in real-video sequences, the Kalman filter is used for appearance updating. Experiments show that our method, which incorporates the modeling of self-occlusion/disocclusion, increases the accuracy of shape estimation in situations of viewpoint change and articulation, and out-performs current state-of-the-art methods for shape tracking.
Elements | robotic interventions II

Reviewing the current research trends in robotic fabrication around the world, the trajectory promises new opportunities for innovation in Architecture and the possible redefinition of the role of the Architect in the industry itself. New entrepreneurial, innovative start-ups are popping up everywhere challenging the traditional model of the architect. However, it also poses new questions and challenges in the education of the architect today. What are the appropriate pedagogical methods to instill enthusiasm for new technologies, materials, and craft? How do we avoid the pure application of pre-set tools, such as the use of the laser cutter has become, which in many schools around the world has caused problems rather than solving problems? How do we teach students to invent their tools especially in a society that doesn't have a strong background in the making? The primary focus of this paper is on how architectural CAAD/ CAM education through the use of robotic fabrication can enhance student's understanding, passion and knowledge of materiality, technology, and craftsmanship. The paper is based on the pedagogical set-up and method of an M. Arch I studio that was taught by the author in fall 2016 with the focus on robotic fabrication, materiality, traditional timber construction systems, tool design and digital and physical craftsmanship.
4B.1 BOUNDARY LAYER PROCESSES OVER DIFFERENT SURFACES SIMULATED BY WRF IN A MOUNTAINOUS REGION SOUTH OF VIENNA, AUSTRIA

The University of Natural Resources and Life Sciences, Vienna, runs a forestry site in a semi-complex terrain south of Vienna used for research and teaching. The Rosalia Lehrforst is 930 hectare large and stretches from 320 m to 725 m. Studies carried out at Rosalia investigate land-surface interactions, hydrological studies such as heavy precipitation events, gas exchange processes, atmospheric processes in the Vienna basin, and many more. In the past years initiatives took place to bring atmosphere, hydrology, soil, and forestry together. Several ongoing projects build a good baseline for future projects. It was planned to start a meteorological observation and modeling cluster in the forest. Therefore, modeling studies were carried out to study on one hand the effects of differen land-use representations keeping in mind that one would have to implement a new land-use data set to properly represent the region. On the other hand, the impacts of initial and boundary soil moisture conditions was studied as it was planned to also burn down a small patch of the forest to study runoff and drainage. Here, the WRF model is used to evaluate the effects of different kinds of land-use and soil types, including different soil moisture conditions, on the boundary layer and boundary layer processes within the forest and the southern Vienna basin.
SOSYAL BİLGİLER DERSİNDE ANİMASYON VE DİJİTAL HARİTA KULLANIMININ ÖĞRENCİLERİN MEKÂNI ALGILAMA BECERİLERİNE YÖNELİK ETKİLERİ

The aim of this study which has a control-group pre-test-post-test design is to develop students’ spatial perception skills through animations and digital maps that students should basically gain at the end of the unit in the 6th grade social studies called “Life on Earth”. The population of this study consisted of 6th graders while the sample was composed of students studying in 6B and 6D in Ataturk Primary School, Afyonkarahisar in the 2011-12 academic year. The data were collected through a valid and reliable 24-item achievement test developed by the researchers. Non-parametric tests were used to analyze the data due to non-normal distribution of the data and smaller sample size. According to the results, students in the experimental group who were exposed to the use of animations and digital maps had higher academic performance than those did in the control group.
D Digitization in Architecture Curriculum

In this paper we describe an experience undertaken in the Faculty of Architecture of Technical University of Lisbon, concerning the introduction of a 3D Digitization course in the frame of the PhD doctorate program in Architecture and in the frame of the Master’s programs in Architecture, Urbanism and Design. We start by describing the theoretical and instrumental frameworks proposed. Then we describe and discuss a set of two exercises developed during one semester, giving examples of the work produced by the students. Finally we end with some considerations to be taken into account in future editions of the course.
OPERATION EXPERIENCE AND PERFORMANCE LIMITATIONS IN e+e- FACTORIES

Since 1999 three double-ring e+ecolliders have been operating. PEP–II and KEKB are asymmetric B–factories atΥ(4S), and DAΦNE is aΦ-factory. Generally speaking, the two B-factories have more or less common issues, and the Φ–factory has somewhat different issues from the B– factories. This paper first describes two B-factories, then discusses on DA ΦN later. The description on DA ΦNE owes Dr. M. Preger. 1 ASYMMETRIC B–FACTORIES 1.1 Successful Startup Figure 1 shows the development of the peak and the integrated luminosities of PEP–II and KEKB since 1999. This figure obviously tells the success of two machines. PEP–II reached its design luminosity, 3 /nb/s, in the fall of 2000, Figure 1: The increase of the integrated (upper) and peak (lower) luminosities of PEP–II and KEKB since 1999. only 15 months after the startup of the BaBar detector. It also exceeded its design luminosity by 50% (4.6 /nb/s) in the fall of 2001. The integrated luminosity is approaching 90 /fb in May 2002. KEKB started the luminosity run in 1999, and the startup speed was somewhat slower than PEP–II’s. The main obstacle at that time was the electroncloud effects and various machine failures due to the high current operation. The peak luminosity of KEKB surpassed PEP–II’s in March 2001 and it reached 7.3 /nb/s in May 2002, which is still 30% below its design value, 10 /nb/s. Though the peak luminosity of KEKB has been higher than PEP–II’s since 2001, the integrated luminosities of two machines in 2001 through 2002 were roughly equal to each other. The ratio of the average luminosity to the peak luminosity was about 76% and 62% for PEP–II and KEKB, respectively. The strong injector of SLAC benefits PEP–II pretty much to improve the luminosity efficiency. Also the total running time in 2001 was longer in PEP–II by about 2 months than in KEKB. Both machines have already produced substantial output of particle physics as planned, including the discovery of CP violation in the B meson system. The quick start of the luminosities in the two machines was remarkable in the history of colliders. 1.2 Machine Parameters Table 1: Machine Parameters of Asymmetric B–Factories. PEP–II KEKB LER HER LER HER Energy 3.1 9.0 3.5 8.0 GeV Circumference 2200 3016 m Current 1.78 1.06 1.37 0.92 A Bunches 80
Microcontroller Based Attendance System Using RFID and GSM

Integration of radio frequency identification technology and GSM technology had shown wide applications in the automation of electronic systems. In this paper the design of microcontroller based attendance system using RFID and GSM modem has been presented which will automatically update the attendance of the students and send the SMS to the absentee’s parent for the continuous monitoring of the attendance of his/her ward. Index Terms – RFID, GSM, Microcontroller.