Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparison of Appearance-Based Descriptors in a Visual SLAM Approach

The problem of Simultaneous Localization and Mapping (SLAM) has been studied thoroughly in the past decade in the field of mobile robotics. Taking into account the information that we can find on literature, it is possible to face the SLAM problem from three different points of view: the Metric SLAM, the Topological SLAM and the hybrid Metric-Topological SLAM. When we use the metric approach, we represent the environment and we compute the robot location through geometrical information with certain accuracy. On the other hand, when we face the problem using the topological approach, the objective is to represent the environment information by means of a list of locations within a graph, maintaining connectivity relationships between them. Finally, the metric-topological approach consists of a combination of the both techniques, trying to take advantage of both methods. Nowadays, the use of computer vision is usual when we want to build a map and localize the robot in the map, because of several advantages (they are passive sensors, have a low cost and provide us with a great amount of information). When we use a vision sensor on a SLAM problem, we can approach the problem from two points of view: using the local appearance (landmarks) or using the global appearance to extract the necessary information from the scenes. The use of local appearance implies the extraction of distinctive landmarks from the images. When we use techniques based on local appearance, we typically need more computational time to build the map and locate the robot within the map. It is due to the fact that we need to extract the distinctive landmarks from each image and find each landmark extracted, in all images that compose the map. However, it presents an advantage: the possibility of including metric information to the system. Conversely, the global appearance methods need a lower time to work (they allow us to work in real time) but they do not directly include metric information in the map. The main objective of this work is to build and test an algorithm to solve the SLAM problem using the global appearance of omnidirectional visual information and the robot internal odometry. Taking into account the advantages and disadvantages of the methods previously listed, we have decided to use a hybrid metric-topological approach to solve the SLAM problem.
Redes sociales para la prevención del suicidio juvenil

espanolEn una era marcada por las tecnologias de la Informacion y Comunicacion; las redes sociales son el modo de comunicacion mas habitual entre jovenes y no tan jovenes. Nosotros, centrados en el primer grupo poblacional, hemos detectado que es en este medio donde mas libremente expresan sus ideas sobre el mundo, situacion personal y problemas relacionados con la salud mental. Por ello, a traves de las redes sociales, puede desarrollarse un sistema basado en Inteligencia Artificial capaz de detectar el posible riesgo suicida de un post escrito en las mismas. Ademas, tambien es posible disenar un sistema de deteccion de estos mensajes que se vaya retroalimentando y ensenando a si mismo, lo que se conoce como Aprendizaje Automatico. La tecnologia, tiene mucho que decir en la prevencion del suicidio. EnglishIn an era marked by Information and Communication Technologies; Social networks are the most common mode of communication between young and not so young. We, focused on the first population group, have detected that it is in this environment where they most freely express their ideas about the world, personal situation and problems related to mental health. Therefore, through social networks, a system based on Artificial Intelligence capable of detecting the possible suicidal risk of a post written in them can be developed. In addition, it is also possible to design a system for detecting these messages that is fed back and taught to oneself, which is known as Machine Learning. Technology has a lot to say in preventing suicide.
The Early Childhood Development of Inhibitory Control, Motor Control and Drawing Skills

Research has broadly shown that Inhibitory Control and drawing skills are directly associated in early childhood development. The current study extends this in three studies investigating the role of Motor Control in this relationship, and the differences between three different drawing skills in their relationships with Inhibitory Control, Fine and Gross Motor Control, IQ, age and gender. Study 1 found strong positive correlations in 3- and 4-year-old children (n=100) between Inhibitory Control, Fine Motor Control, age and two drawing skills (Figurative Representation and Detail). Mediation analyses however demonstrated that Fine Motor Control fully mediated the relationship between Inhibitory Control and these drawing measures. In contrast, the association of Inhibitory Control with Visual Realism of drawing was not mediated by Fine Motor Control, meaning that Inhibitory Control directly influenced Visual Realism (which is children’s tendency to draw what they see, rather than what they know is there). The relationship of Visual Realism with age was, however, surprisingly negative. Study 2 (n=100) tested further the relationship between Inhibitory Control and Fine Motor Control to reveal any additional role played by Gross Motor Control or verbal IQ. The strong association between Inhibitory Control and Fine Motor Control in early childhood was confirmed: Inhibitory Control and Gross Motor Control were not directly linked, but Fine Motor Control mediated the relationship between Inhibitory Control and Gross Motor Control, while IQ played no major role. Study 3 investigated whether the development with age of Visual Realism in fact follows a U-shaped pattern in children (n=233), accounting for the negative correlation between these among preschoolers. Such a pattern would indicate that children start drawing with visual realism, then move to intellectual realism and then back to visual realism. Some support was found for this hitherto unreported pattern of development.
Social Media and the Dissemination of Prepublication Data in Surgical Fields

Background: This review investigates the use of social media at surgical conferences and possible effects of prepublication data release in surgical fields. Potential risks include patient harm by the preliminary application of research that lacks sufficient peer review, infringements on intellectual property, and loss of “research novelty. ” Methods: A literature review of the current use of social media in dispersion of prepublication data was performed. Current submission guidelines for surgical conferences and journals were analyzed for data release embargos and social media use policies. Results: Conference abstract guidelines mentioned data embargos half of the time and the use of social media less than one third of the time. Eighty percentage of journal instructions to authors contained guidelines on both. Conclusions: In nonsurgical fields, the appropriateness of the use of social media to release prepublication data is increasingly being discussed. Little guidance exists on how surgical conference attendees should use social media while at conferences. Given the potential for patient harm and negative impact on intellectual property and attribution, further discussion is warranted. Introducción: Esta crítica investiga el uso de las redes sociales en las conferencias quirúrgicas y los efectos posibles de los datos pre-publicados en cirugía. Los riesgos probables incluyen: daño al paciente causado por la aplicación prematura de las investigaciones sin bastante análisis, violación de la propiedad intelectual, y perdido de “novedad de investigación. ” Metodología: Un repaso fue hecho sobre el rol de las redes sociales en la propagación de los datos pre-publicados. Las normas actuales para la entrega de las conferencias y los periódicos quirúrgicos claves fueron analizadas por las reglas gobernando el uso de las redes sociales y los embargos del lanzamiento de datos. Resultados: Las reglas generales sobre la entrega de abstractos para las conferencias mencionaron los embargos de datos la mitad del tiempo mientras que estas mismas reglas mencionaron el uso de las redes sociales menos que un tercio el tiempo. 80% de las instrucciones de los periódicos dirigidas a los autores tuvieron las reglas generales sobre los dos: los embargos de datas y las redes sociales. Conclusiones: En las especialidades non-quirúrgicas, la pertinencia del uso de las redes sociales para lanzar el dato pre-publicado es discutida con más frecuencia. No existen normas sobre cómo se usan las redes sociales durante las conferencias. Dado el daño potencial al paciente y el impacto negativo en la propiedad y la atribución intelectuales, más discusión está obligatoria.
Deteksi dan Tracking Pemain Sepakbola menggunakan Histogram of Oriented Gradients (HOG) dan Kalman Filter

Dalam penelitian ini, dibangun sebuah sistem untuk melakukan tracking pemain sepakbola pada data video. Penelitian ini menggunakan ekstraksi ciri Histogram of Oriented Gradient (HOG) yang cocok untuk digunakan pada kondisi intensitas pencahayaan tidak stabil. Selain melakukan deteksi pemain bola, dalam penelitian ini dilakukan pengklasifikasian tim menggunakan clustering pada vektor ciri color moment . Untuk menjaga performansi deteksi, dilakukan evaluasi tracking menggunakan Kalman Filter . Berdasarkan hasil penelitian, sistem tracking yang dibangun memberikan performansi F1-score tertinggi mencapai 0.87 (skala 0-1) dengan berbagai kondisi pencahayaan video.
A Voice of Process: Re-Presencing the Gendered Labor of Apollo Innovation

From Ada Lovelace to Margaret Hamilton, retelling the stories of previously unrecognized women can broaden histories of technology and challenge the dominant imaginary of innovation today. These figures remind us that women can be—and always have been—part of computing. Yet, their significant accomplishments represent a small fraction of women’s contributions to technology. Women, and especially working class women of color, have consistently done the work just below the surface of discovery. However, the data comprising their experiences remains thin, keeping those figures on the scientific margins. This essay explores how communication studies can integrate expanded methods of media archeology to address issues of representation in the absence of remarkable personal narratives. We present the case study the Apollo Guidance Computer’s woven core memory, a history that is “re-presenced” through a participatory workshop that engages participants in collaborative acts of weaving. In an appeal to the tactics of design, this recuperation opens an indeterminate past to illuminate the networks of labor called into being by technological artifacts. We argue that integrating these methods can produce new, feminist histories of material practices—bringing people and places into the present along with their associated artifacts.
Knowledge Structure Differences between More Effective and Less Effective Salespeople

A study of salespeople working for a telephone marketing operation indicates that more effective (above average) salespeople have richer and more interrelated knowledge structures about their customers than do less effective (below average) salespeople in terms of both customer traits and strategies for selling to the customers. No significant differences are found between effective and less effective salespeople on the number of categories used to classify customers. A longitudinal study that tracked entering salespeople over time, from the less effective to the more effective stage, validates the findings of the cross-sectional study. Implications of these findings for sales management practice and the small but growing literature on real-world competence are discussed.
Human Resource Capability and Competitive Advantage of Sugar Companies in Western Kenya

The sugar industry contributes about 15 percent to the Kenya’s agricultural GDP and supports an estimated 25 percent of the country’s population. The objective of the study was to assess the influence of human resource capability in the context of strategic capability on competitive advantage of sugar companies in Western Kenya The target population was composed of six sugar companies; the respondents were 727 managers and the sample size consisted of 88 respondents with a response rate of 73%. The primary data was collected using a questionnaire pretested for validity and reliability. Descriptive and inferential statistics were used to analyze the data. The logit results showed that companies that had a strong human resource capability were 1.012 times more likely to be competitive compared to those that had a weak human resource capability; correlation result was a weak positive statistically insignificant correlation between human resource capability and competitive advantage( r= 0.003) and hypothesis result showed that there was no statistically significant relationship between human resource capability and competitive advantage of sugar companies in Western Kenya. It was concluded that companies that had strong human resource capability were more likely to enjoy competitive advantage compared to those that had weak human resource capability. Competitive advantage of the sugar companies in Western Kenya is positively influenced by the human resource capability. It was recommended that the sugar industry should pay keen attention to how human resource capabilities are placed and utilized. If observed, the competitive advantage would be enhanced which would then lead to better performance of the sector. International Journal of Academic Research in Business and Social Sciences Vol. 9 , No. 5, May, 2019, E-ISSN: 2222-6990 © 2019 HRMARS 234
Implementation of IBE with Outsourced Revocation technique in Cloud Computing

: Identity-Based Encryption (IBE) which simplifies the public key and certificate management at Public Key Infrastructure (PKI) is an important alternative to public key encryption. However, one of the main efficiency drawbacks of IBE is the overhead computation at Private Key Generator (PKG) during user revocation. Efficient revocation has been well studied in traditional PKI setting, but the cumbersome management of certificates is precisely the burden that IBE strives to alleviate. In this project, aiming at tackling the critical issue of identity revocation, we introduce outsourcing computation into IBE for the first time and propose a revocable IBE scheme in the server-aided setting. Our scheme offloads most of the key generation related operations during key-issuing and key-update processes to a Key Update Cloud Service Provider, leaving only a constant number of simple operations for PKG and users to perform locally. This goal is achieved by utilizing a novel collusion-resistant technique: Furthermore, we propose another construction which is provable secure under the recently formulized Refereed Delegation of Computation model.
CREATING ORGANIZATIONAL COMMITMENT THROUGH SPIRITUAL LEADERSHIP: MEDIATING EFFECT OF MEANING AT WORK

Fierce competition and oppressing business life of 21st century has given birth to changes in business life and caused some troubles on the side of employees. Unsatisfaction regarding daily working habits has given way to increasing demands of employees regarding a more humane and more meaningful work. In this point, workplace spirituality and spiritual leadership come to scene as possible remedies for the meaninglessness and disappointment of modern employees. In the study, it is hypothesized that spiritual leadership has a positive effect on organizational commitments of employees and the sense of meaning act as a mediator in this relationship. In this paper, we will first explain the spiritual constructs like workplace spirituality and spiritual leadership. And than we will explain our research regarding the relationship among spiritual leadership, sense of meaning and organizational commitment in details. In order to test the relationships in our model a field research has been applied on 800 turkish academicians by using online and face to face surveys. And 190 usable answers have been obtained. Results of the study has been analyzed by using SPSS. 22 program.
Optical challenging feature inline measurement system based on photometric stereo and HON feature extractor

Inline, also known as on-line, measurement is one of the most important measurement techniques in automotive manufacturing industry, especially for body shop. Nowadays, optical measurement systems, which is most commonly used for inline measurement, are developing rapidly. However, some of dimensional features in body shop such as spot welding points, stud welding, high reflective surfaces and black painted materials, are still challenging for traditional optical inline systems to measure. Aiming at optical challenging dimensional features, a measuring system with cameras and fixed illuminations is developed to achieve robust and accurate measurement. Photometric stereo technique is used to obtain the surface normal map of the feature, so the algorithm can adapt to various reflections of the material. A Histogram of Oriented Normals (HON) extractor is proposed to extract the feature vector, which is small enough to fit a neural network, from normal map. After building a database with 1000 normal map and corresponding feature position, an artificial neural network is trained for localization the feature from 2D image. Combining 2D information from two different cameras, the 3D coordinate will be available with triangulation. Comparing with traditional HOG bench mark extractor, proposed system showed significant advantage on optical challenging materials in the experiment with welded stud sample. Comparing with off-line measurement systems, proposed system takes much less time, which gives the potential for optical challenging features inline measurement.
Graphic Design and Neuroscience: The Visual Perception of Brands Graphic Signatures and its Cerebral Responses

Initially, the function of brands was to name products to identify them. But this conception has evolved greatly over time, especially after the Industrial Revolution: still in the nineteenth century some brands stopped of only identifying the producer and began to symbolize other values. According to Klein [1] when goods were first produced in factories not only completely new products were introduced, but the old products even staple foods were emerging in new and surprising ways. ” This means that the market was being flooded with uniform mass-produced products almost indistinguishable from each other. That is why they needed brands to differentiate them in terms not only of origin, but also of quality.
A new 3D finite element for the finite deformation of nearly incompressible hyperelastic solids

Volumetric locking is exhibited by nearly incompressible solids such as rubber, resulting in over-stiffening response of the finite element mesh. In this work, we developed the displacement-based computationally efficient volumetric locking-free 3D finite element using smoothening of determinant of deformation gradient (J-Bar method) within the framework of isotropic hyperelasticity. The developed methodology is employed to analyse a rubber block undergoing finite stretch and bending deformations. The convergence study for finite stretch and bending of rubber block is presented. Results of the analysis show that J-Bar method efficiently removes the volumetric locking.
Estimasi Berat Karkas Sapi Berdasarkan Segmentasi Mean Shift Dengan Klasifikasi Support Vector Machine Linear

Daging sapi merupakan sumber protein yang paling digemari masyarakat Indonesia setelah daging unggas. Ukuran keberhasilan manajemen pemeliharaan sapi adalah dengan melihat produktivitas sapi tersebut. Bobot badan ternak sapi dapat diperoleh dengan cara mengukur lingkar dada dan panjang badan masing-masing ternak sapi tersebut, yang ternyata mempunyai hubungan yang linear. Penimbangan menggunakan timbangan mekanis masih memiliki kendala yang dihadapi dalam melakukan pembobotan badan ternak sapi. Untuk mendapatkan cara yang lebih praktis, bidang Teknologi Informasi dan Komputasi dapat diaplikasikan untuk membantu memberikan alternatif solusi atas permasalahan tersebut, dengan menggunakan pengolahan citra untuk mengetahui ukuran fisik tubuh ternak sapi yang tampak tersebut (lingkar dada, dan panjang badan). Penelitian bidang pengolahan citra ini dikombinasikan dengan bidang peternakan yang telah menemukan hubungan antara ukuran-ukuran fisik tubuh ternak sapi yang tampak dengan bobot badan ternak sapi. Pengolahan citra dilakukan dengan proses segmentasi citra untuk memisahkan citra ternak sapi dari latar belakang dan menghilangkan objek-objek dalam citra yang bersifat pengganggu (noise), selanjutnya dilakukan proses identifikasi untuk mendapatkan ukuran panjang badan dan lingkar dada citra sapi. Setelah mendapatkan ukuran- ukuran tersebut, dilakukan proses komputasi untuk menghitung bobot badan ternak sapi tersebut. Untuk pengujiannya, dibandingkan dengan pengukuran secara langsung (manual) dengan menggunakan pita ukur. Pada tugas akhir ini dibuat sistem yang dapat mengetahui berat karkas sapi memanfaatkan pengolahan citra. Metode yang digunakan dalam sistem ini adalah Mean Shift untuk segmentasi citra sapi nya. Untuk proses klasifikasi digunakan metode SVM Linear. Hasil penelitian Tugas Akhir ini adalah didapatkan nilai akurasi 89%. Diharapkan juga dengan kemampuan sistem ini dapat membantu para pedagang daging, sehingga dapat dijadikan standar akurasi yang tepat dalam mengetahui berat karkas sapi. Kata Kunci : Segmentasi, Mean Shift, SVM Linear.
The fundamental and non-fundamental components of stock prices: The role of time-varying expected inflation

I derive testable implications of fundamental and non-fundamental components of stock prices. In order to control for the role of time-varying expected inflation and to be able to perform reasonable empirical tests, I use a nominal (rather than a real) interpretation of the present-value model (PVM), whereby nominal interest rates approximate expected inflation. I conjecture that the fundamental and non-fundamental components represent the permanent and temporary components of stock prices, respectively. A series of cointegration analysis over the annual period 1871-1997 confirms my conjecture for the model with timevarying expected inflation. Various fundamental and non-fundamental exclusion tests indicate that both excess returns and expected inflation are price fundamentals. When both of these factors are present in the fundamental component, the non-fundamental component of stock prices exhibits little deviation from zero. However, the evidence in support of the inflation-augmented PVM seems somewhat sensitive to certain model specifications (notably, lag structures). The Hansen-Johansen recursive analysisreveals that the parameters in the non-fundamental component lack stability in the post-World War II period. Results from subsample analysis verify my suspicion of a significant regime shift. In particular, the inflation augmented-P VM holds only for the pre-WW II period. This implication of excess price volatility, as represented by the augmented PVM, stands up to alternative specifications such as measurements of variables and data frequency. Such evidence is clearly in line with iii Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. Shiller’s (1981) belief in market irrationality and also consistent with Campbell’s (1991) conclusion that evidence of market predictability is “overwhelming” only during the post-