Miracle-dz/UniFAR-FTUs huggingface dataset:
Landmark based localization : Detection and update of landmarks with uncertainty analysis

Mobile mapping is the process of collecting geospatial data with a moving vehicle. These vehicles are often equipped with two types of sensors: remote sensing (cameras, lidar, radar) and geo-localization (GNSS, IMU, odometer). Precise and robust georeferencing has been a major challenge for the implementation of mobile mapping systems. Indeed, in dense urban environments, the masks of signals and multipath errors corrupt the measurements and lead to big positioning errors. High precision IMUs enable to bridge the gaps of positioning and ensure a drift low enough to fulfil the requirements of mapping in terms of accuracy. Nowadays, the hybrid positioning systems (GNSS / IMU / Odometer) are mature enough to provide reliable industrial solutions for the collection of geo-referenced data. National and private mapping agencies have started to collect the required row data for building geospatial repositories at very large scales. However, the very high cost of positioning systems incorporating high precisions IMUs restricts their use to the establishment of geospatial reference data and more affordable positioning solutions are needed for map updating purpose.The objective of this thesis is to provide a low cost positioning solution that can be used on a large number of map updating vehicles.We propose to use one or more cameras on a vehicle as a georeferencing system. Indeed, the vehicle’s trajectory can be estimated using visual odometry techniques. To limit the drift of the trajectory due to the accumulation of errors, we propose a registration on a set of visual landmarks that are precisely georeferenced. These landmarks are reconstructed using the reference data generated by precise and expensive mapping systems. Natural road features such as road markings and traffic signs were chosen as visual landmarks.A local bundle adjustment algorithm has been adapted to estimate the pose of the vehicle using a sequence of images acquired by one or more embedded cameras. A rigorous approach that takes into account the uncertainties enables to tune automatically the weights of every constraint in the equation system of the adjustment and to estimate the uncertainties of the parameters. They are used in a propagation based matching algorithm that accelerates the process of tracking the interest points between the images and eliminate many false matches. This significantly reduces the drift of the visual odometry by reducing the sources of errors. The remaining part of the drift is removed using georeferenced visual landmarks. The process of matching the image sequence with the landmarks is guided by the uncertainty of the poses. It adds a set of absolute constraints in the equation system of bundle adjustment. The drift is drastically reduced. Each step of the algorithm is evaluated on real image sequences with ground truths
Moral Foundations in the 2015-16 U.S. Presidential Primary Debates: The Positive and Negative Moral Vocabulary of Partisan Elites

Moral foundations theory (MFT) suggests that individuals on the political left draw upon moral intuitions relating primarily to care and fairness, whereas conservatives are more motivated than liberals by authority, ingroup, and purity concerns. The theory of conservatism as motivated social cognition (CMSC) suggests that conservatives are more attuned than liberals to threat and to negative stimuli. Because evidence for both accounts rests on studies of mass publics, however, it remains unclear whether political elites of the left and right exhibit these inclinations. Thus, this analysis uses the 2015-16 United States presidential primary season as an occasion to explore partisan differences in candidates’ moral rhetoric. The analysis focuses on verbal responses to questions posed during party primary debates, a setting that is largely unscripted and thus potentially subject to intuitive influences. The Moral Foundations Dictionary is employed to analyze how frequently candidates used words representing various moral foundations, distinguishing between positive and negative references to each. Consistent with CMSC, the Republican candidates were more likely to use negative-valence moral terminology, describing violations of moral foundations. The direction of some partisan differences contradicts the expectations of MFT. Donald Trump, a novice candidate, was an exception to the typical Republican pattern, making markedly lower overall use of moral-foundations vocabulary.
Multi-Agent Rendezvous Problem with Preserving Topology Connectivity

This paper studies a distributed multi-agent rendezvous problem that preserves topology connectivity. Based on the constraint function, the agent's own and its neighbor's current time and last time's condition are used as conditions to judge the agent's movement trend and connectivity quality in the system.After that, the evaluation result is used as one of the basis for adjusting the input of the agent control so as to achieve the purpose of preserving the topology connectivity. Finally, taking the 50 agents distributed uniformly on the plane as an example, the simulation results and performance analysis are given. The results show that under this strategy, the multi-agent system can achieve gradual rendezvous at the same point.
The Impact of Social-Emotional Development in Preschool

4 Chapter One: Introduction . 5 Scope of Research . 5 Importance of the Study . 5 Research Questions . 6 Connection to Program Essential Question. 6 Definition of Terms. 6 Summary . 8 Chapter 2: Literature Review . 9 Preschool Classroom Behavior . 9 Parent Education and Social Emotional Learning . 12 Relationships . 14 Teaching Strategies and Inverventions . 15 Effective Curricula . 15 Free Choice . 17 Academic Success . 19 Emergent Math Skills . 20 Emergent Literacy Skills. 21 Link to Elementary Achievement . 21 Chapter 3: Summary . 23 SOCIAL-EMOTIONAL DEVELOPMENT 3 Review of the Proposed Problem . 24 Importance of the Topic . 25 Summary of the Main Points of the Literature Review . 25 Preschool Classroom Behavior . 26 Parent Education and Social Emotional Learning . 26 Relationships . 27 Teaching Strategies and Inverventions . 27 Effective Curricula . 28 Free Choice . 28 Academic Success . 29 Chapter 4: Discussion and Application. 30 Insights Gained from the Research . 30 Application . 33 Recommendation for Future Research . 33 Future Study 1 Parent-Child Relationships . 34 Future Study 2 Early Childhood Screening and Social-Emotional Learning . 34 Future Study 3 Early Intervention and Social-Emotional Learning . 34 Conclusion . 35 References . 37 SOCIAL-EMOTIONAL DEVELOPMENT 4 Abstract The development of children’s cognitive and social-emotional learning is of significant importance in education, specifically in early childhood education. Early childhood administrators, educators, and support staff have noticed an increase in the amount of students displaying underdeveloped or lacking social-skills within preschool classrooms. This paper will analyze and summarize research to explain the relationship between social-emotional skills andThe development of children’s cognitive and social-emotional learning is of significant importance in education, specifically in early childhood education. Early childhood administrators, educators, and support staff have noticed an increase in the amount of students displaying underdeveloped or lacking social-skills within preschool classrooms. This paper will analyze and summarize research to explain the relationship between social-emotional skills and temperament, classroom environment, and educational outcomes in preschool aged students. It was found through research that a lack of social-emotional understanding and skills was impactful to a child’s future emotional responses and academic achievement. In order for leaders to best prepare teachers to support student’s social-emotional needs, direct teaching of social emotional skills to students, educating parents and guardians, and providing effective curricula and free choice opportunities in the classroom were important factors to social and academic success.
Cloud Computing Technology to Assist Government in Decision Making Process

In order to streamline government’s internal decision making process that may be conducive to obtaining nonrefundable European funds, this paper proposes new and intelligent methods for reporting, collecting and processing data in an updated manner, taken from websites of Eligible Competent Authorities to conduct such funds. Retrieving data will be made by means of intelligent mobile agents residing on the contracting public authority servers. Such data are processed in the cloud to generate reports or graphs, with the aim of measuring the EU FUNDS absorption rate at a certain time with a view to finding the best decisions that can increase EU funds absorption rate at national level and in the same time provide, ahead of time, the necessary budgetary funds for co-financing the European projects that have been undertaken.
Planning later life with dementia: comparing family caregivers’ perspectives on biomarkers with laypersons’ attitudes towards genetic testing of dementia prediction

Predictive medicine presents opportunities to consider later life under conditions of illness, such as dementia. This paper examines how family caregivers (N = 27) assess the opportunity of prediction and early diagnosis of dementia for oneself based on their particular experience. Furthermore, it compares their attitudes with laypersons’ attitudes (N = 43) towards genetic testing of APOE. By this, we elaborate how much personal experience impacts anticipation and affects, but also moral attitudes towards predictive medicine. Differences in our settings do not allow for direct comparison, so our analysis focuses on multiple similarities in the assessments of predictive (non-genetic vs. genetic) testing. Groups’ reasoning showed also differences influenced mainly by personal experience. Family caregivers addressed more responsibility towards family and had more hopes into medical treatments. To cope with the disease, they expressed expectations to start with medicine and care decisions as early as possible. Laypersons, however, stressed self-determination more and expressed worries about the influence of the pharmaceutical industry by referring to unnecessary medication and, implicitly, the medicalization of aging.
Twofish : A 128-bit block cipher

Twofish is a 128-bit block cipher that accepts a variable-length key up to 256 bits. The cipher is a 16-round Feistel network with a bijective F function made up of four key-dependent 8-by-8-bit S-boxes, a fixed 4-by-4 maximum distance separable matrix over GF(2), a pseudo-Hadamard transform, bitwise rotations, and a carefully designed key schedule. A fully optimized implementation of Twofish encrypts on a Pentium Pro at 17.8 clock cycles per byte, and an 8-bit smart card implementation encrypts at 1660 clock cycles per byte. Twofish can be implemented in hardware in 14000 gates. The design of both the round function and the key schedule permits a wide variety of tradeoffs between speed, software size, key setup time, gate count, and memory. We have extensively cryptanalyzed Twofish; our best attack breaks 5 rounds with 2 chosen plaintexts and 2 effort.
Multi-image analysis : 10th International Workshop on Theoretical Foundations of Computer Vision : Dagstuhl Castle, Germany, March 12-17, 2000 : revised papers

3D Data Acquisition and Sensor Design. - Modelling and Removing Radial and Tangential Distortions in Spherical Lenses. - Geometry of Eye Design: Biology and Technology. - Epipolar Geometry in Polycentric Panoramas. - Image-Based Rendering from Uncalibrated Lightfields with Scalable Geometry. - Recent Progress in Digital Photogrammetric Stereo Cameras and Data Evaluation. - Classification and Characterization of Image Acquisition for 3D Scene Visualization and Reconstruction Applications. - Multi-Image Analysis. - Structure Multivector for Local Analysis of Images. - Matching Multiple Views by the Least Square Correlation. - Gabor Wavelet Networks for Object Representation. - Multi-valued Images and Their Separation. - Towards Segmentation from Multiple Cues: Symmetry and Color. - Pose Estimation Using Geometric Constraints. - Data Fusion in 3D Scene Description. - The Fusion of Image and Range Flow. - Knowledge-Based Concepts for the Fusion of Multisensor and Multitemporal Aerial Images. - Ellipsoidal Bias in Learning Appearance-Based Recognition Functions. - Scene Change Detection Based on Audio-Visual Analysis and Interaction. - Applied 3D Vision and Virtual Reality. - Implicit 3D Approach to Image Generation: Object-Based Visual Effects by Linear Processing of Multiple Differently Focused Images. - Content-Based Image Retrieval Using Regional Representation. - Integration of Photometric Stereo and Shape from Occluding Contours by Fusing Orientation and Depth Data. - Visual Sign Language Recognition.
Malware-Free Intrusions: Exploitation of Built-in Pre-Authentication Services for APT Attack Vectors

Advanced Persistent Threat (APT) actors seek to maintain an undetected presence over a considerable duration and therefore use a myriad of techniques to achieve this requirement. This stealthy presence might be sought on the targeted victim or one of the victims used as pawns for further attacks. However, most of the techniques involve some malicious software leveraging the vulnerability induced by an exploit or leveraging the ignorance of the benign user. But then, malware generates a substantial amount of noise in form of suspicious network traffic or unusual system calls which usually do not go undetected by intrusion detection systems. Therefore, an attack vector that generates as little noise as possible or none at all is especially attractive to ATP threat actors as this perfectly suits the objective thereof. Malware-free intrusions present such attack vectors and indeed are difficult to detect because they mimic the behavior of normal applications and add no extra code for signature detection or anomaly behavior. This paper explores malware-free intrusions via backdoors created by leveraging the available at preauthentication system tools availed to the common user. We explore two attack vectors used to implant the backdoor and demonstrate how such is accessible over the network via remote access while providing the highest level of system access. We further look at prevention, detection and mitigation measures which can be implemented in the case of compromise.
STRATEGIES FOR IMPROVING PHYSICIANS AND NURSES’ PROFESSIONAL SATISFACTION AT THE MOI TEACHING AND REFERRAL HOSPITAL, ELDORET, KENYA

Motivated human resources are the most important assets of any healthcare organization. Human resources, especially the nurses, work directly with the health consumers (patients). As such, when nurses are motivated, the work productivity increases resulting in good care outcomes. However, it is widely acknowledged that health systems, especially in developing countries like Kenya, are not producing the desired outcomes of health interventions due to factors such as insufficient skilled and experienced health personnel, demotivated health personnel, lack of management skills, poor working conditions and environment and inadequate remuneration. Therefore, the study examined the strategies that may be used by hospitals to improve physicians and nurses’ professional satisfaction drawing lessons from a study conducted at the Moi Teaching and Referral Hospital in Eldoret, Kenya. The study used a descriptive quantitative research design. Data was collected using a structured questionnaire that was administered to a stratified sample of 82 Physicians and 220 Nurses. All the completed questionnaires were entered into IBM SPSS 21.0 statistical software and data analysed for descriptive statistics. The results were presented in tables and figures. The study was powered to 95% confidence interval. From the study findings on the strategies for improving physicians’ and nurses’ professional satisfaction, it was suggested that the hospital should strengthen working relationships between employees and supervisors, ensure good working relationships with professional associations and provide clear direction about career advancement on medical/nursing services. Therefore, healthcare systems need to mainstream their organizational structure to facilitate patient care through consultative processes with physicians and nurses. The need for interdepartmental support and strengthened working relationships between physicians and nurses in healthcare environment is also an important strategy to influencing satisfaction. Keywords: Strategies, Improving Professional Satisfaction, Physicians, Nurses’ Moi Teaching, Referral Hospital, MTRH, Kenya CITATION: Aruasa, W. K. , Chirchir, L. K. , & Chebon, S. K. (2019). Strategies for improving physicians and nurses’ professional satisfaction at the Moi Teaching and Referral Hospital, Eldoret, Kenya. The Strategic Journal of Business & Change Management, 6 (3), 216 – 226.
PREFIX UNITS WITHIN THE MENTAL LEXICON

Three masked priming experiments associated with the lexical decision task were carried out in order to examine the cognitive processing of prefixed words in French. To this end we systematically compared the effects of the prior presentation of prefixed words (e.g., prenom), prefixed nonwords (e.g., denom) or orthographic nonwords (e.g., danom) on the recognition latencies of their root (e.g., nom) or of another related prefixed word (e.g., surnom). When compared to unrelated primes, both prefixed words and nonwords facilitated target recognition (Experiments 1 & 2) and this was not an effect arising from the frequency ratio between roots and prefixed derivations. However, when morphological priming effects were measured against orthographic nonword controls, that where combinations of existing roots with nonexisting prefixes, morphological effects did not differ significantly from orthographic effects (Experiment 3). This finding suggests that morphological priming effects do not totally depend on the decomposition of the prime in two distinct morphemes, as suggested by Rastle & Davis (2008) but tend to be sensitive to formal factors (more precisely overlapping roots), even though they cannot be reduced to simple orthographic priming. Taken together, the present data moderate the full decomposition approach of morphological processing. A new model is proposed, integrating both sublexical units corresponding to "morphomes" (Aronoff, 1994) and supralexical units assimilated to "base-lexemes".
Modelling Uncertainty-exposed Team Decision-making in Multi-agent System

Organizational systems work in terms of uncertainty in uncoordinated decision-making. Information flows in systems and environments are not always sufficient to lead to an exact probable outcome. In this connection, there is a need in mathematical modelling of team decision-making as a process to overcome information uncertainty in a formalized way. To do this, there is a proposal to use the multi-agent model based on the neural model structure. Authors have given a systematic presentation of important provisions from the theory of optimal control over systems, including decision-making in two-alternative and multi-alternative cases. The reviewed program model confirms convergence of the game neuroagent method for decision-making. Effectiveness of the method was estimated using characteristic functions of average gains and errors in team choices of the best solutions in decision-making. Reliability of findings is confirmed by repeated values of method characteristics calculated for various sequences of random variables.
La dipendenza da Internet: Il fenomeno dell’IGD in un campione non clinico di videogiocatori di MOBA e MMORPG

Internet Addiction Disorder: Internet Gaming Disorder in a Non Clinical Sample of MOBA and MMORPG Videoplayers This study aims at investigating on two specific kinds of videogames: MOBA and MMORPG. The sample is made up of 1121 subjects, 80.4 % of whom are male, while the participants’ average age is 22.94 years (DS= 6.685). Subjects involved were recruited online administering a batch of self-report tests composed of: IAT, TAS-20, PID-5-BF and BIS-11. One of the purposes of the study was to find out if involved subjects had obtained high scores in the various administered scales. Score analyses pointed out that they do not exceed the respective cut-off scores for each scale. What is more, referring to the average score reported in the IAT total dimension, the sample was divided in three clusters, in order to find out in the sample three kinds of users: non problematic, problematic and “addicted” players. The research has highlighted that the variable “videogame typology” exerts an influence on some personality traits, leading those who excessively use them to be more exposed to experience negative emotions (anxiety and depression), avoid socio-emotional involvement and get in touch with bizarre and culturally incongruent thoughts (accompanied by the respective behavioral displays).
Motivations of youth audiences to content creation and dissemination on social network sites

Young people show very high and intensive levels of social networks use. However, users have different levels of involvement as regards their degree of interactivity in these platforms. Supported by uses and gratifications theory and applying a factor analysis, the motivations that explain their participation in several profiles of social networks and differences between those who do and those who do not comment are analysed. Based on a self-administered survey of 461 young university students, the main conclusions include the diversity of nuances in the combinations of reasons that explain participation in different types of profiles on social networks; particularly worth highlighting are the similarities between profiles of NGOs and those of celebrities. Also of note is the tendency of users who comment on commercial, political, social and leisure profiles to display motivations linked to searching for information, being useful, influencing others, interacting and showing adhesion, depending on the sphere.
A Novel Mechanism for Delivering IPTV Traffic in Ethernet Passive Optical Networks

Abstract IPTV offers digital television services over Internet Protocol (IP) for the ubscribers at a lower cost. Despite all the attractive IPTV services, it also requires high-speed access networks with the functions of multicasting, Quality-of-Services (QoS) guarantee and so on. In the access networks, Ethernet Passive Optical Network (EPON) is regarded as one of the best technology to meet the higher bandwidth demands applications such as IPTV. There are two common mechanisms used for delivering IPTV to the users in the EPON system such as, dedicated stream and multicast stream. The dedicated stream is not scalable to a large number of clients because of the limited bandwidth and resource consumption at the server side. Conversely, although multicast could be used as a scalable solution for media streaming, but providing such services in the EPON is still challenging due to some limitations in the EPON system. In this paper, we propose a new mechanism that is a Single Copy Broadcast (SCB) with Priority Queue (PQ) mechanism that can accommodate large number of clients IPTV streams without adding extra bandwidth and resources at the Optical Line Terminal (OLT). Simulation results have shown that our proposed mechanism can improve the QoS metrics and system performance in terms of bandwidth consumption and power consumption. Keywords— IPTV, QoS, EPON, Unicast, Multicast, Single Copy Broadcast