Miracle-dz/UniFAR-FTUs huggingface dataset:
Vision Based Tracking for Unmanned Aerial Vehicle

This project aims at a system for an Unmanned Aerial Vehicle (UAV) following moving targets on ground. The UAV has physical constraints on airspeed and maneuverability. The target however can move freely and in any general pattern. We assume minimum knowledge about the target while navigating the aircraft. The system includes visual tracking of the target with a camera mounted on the UAV. The camera is also controlled by the closed loop algorithm according to the position and orientation of the aircraft and the position of the target. Aircraft stabilization and interpretation is performed using an autopilot system "Piccolo" by Cloud Cap Technology. The navigation and visual processing is performed on computers at the ground, control commands from which are sent to the aircraft wirelessly. The figure shows our system architecture and pictures of the individual components. Secondly, the project aims at design and implementation of a real-time computer vision system for a rotorcraft unmanned aerial vehicle to land onto a known landing target. This vision system consists of customized software and off-the-shelf hardware which perform image processing, segmentation, feature point extraction, camera pan/tilt control, and motion estimation. We introduce the design of a landing target which significantly simplifies the computer vision tasks such as corner detection and correspondence matching. While UAVs have been widely used in the West for policing, oil pipeline inspection and detecting illegal immigrants, in India, they are mainly used by the armed forces (Eg. Lakashya, Nishant) for intelligence gathering and surveillance. But this is changing.
Sustainable Ethical Leadership and Employee Outcomes in the Hotel Industry in Cameroon

Lack of sustainability in ethical behavior is one of the principal reasons for unsustainable outcomes. The present study observes how sustainability in ethical leadership affects employee outcomes like trust, effective commitments, and organizational deviance. Ethical behavior and decisions of leaders will continue to be a source of concern in organizations where deviant actions are carried out by employees. The perception of bad ethics becomes a threat to the success of the organization. This study examines the impact of ethical leadership (EL) on trust (TR), affective commitment (AC), and deviance behavior of employees in the hotel industry. Using convenience sampling and a cross-sectional research method, the study made use of 150 questionnaires to get the perceptions of the respondents about the constructs. Data were obtained from employees of hotels in Cameroon. Confirmatory factor analysis, path analysis, and correlation analysis were conducted to assess the primary outcomes and to test the causality between each set of variables. The results showed that ethical leadership encourages employees to build trust in their leaders. Employees become effectively committed to their jobs and, thus, find no reason to engage in deviance actions. Furthermore, the results also confirm that trust feelings towards the leader by the employees positively influence affective commitment, hence, prevent deviance actions. Therefore, effectively committed employees do not engage in organizational deviance behaviors (OD). In light of these results, practical implications and recommendations are provided for decision-makers and future researchers.
Advantages of switched reluctance motor applications to EV and HEV: design and control issues

The purpose of this paper is to investigate the capabilities of switched reluctance motors (SRMs) for EV and HEV applications. This investigation is carried out in two steps. The first step involves the machine design and the finite element analysis to obtain the static characteristic of the motor. In the second step, the finite element field solutions are used in the development of a nonlinear model to investigate the dynamic performance of the designed motor. Several 8-6 and 6-4 SRM geometries are investigated. The effects of different stator and rotor pole widths and pole heights on the steady state as well as on the dynamic performance of the motor are studied. Simulation results of the designed SRM are presented for vehicle acceleration. To demonstrate the SRM's capability in producing an extended constant power range, experimental results are presented; however, for a reduced size motor available commercially.
UNDERSTANDING NORMAL AND ATYPICAL OPERATIONS THROUGH ANALYSIS OF FLIGHT DATA

The concave reflecting surface of a projector reflector is shaped to provide a first set of reflecting areas which project a first set of light beams arranged to form a first tightly packed mosaic pattern at a plane, and a second set of reflecting areas which project a second set of light beams arranged to form a second tightly packed mosaic pattern superimposed on said first mosaic pattern.
Functional determinants for general Sturm–Liouville problems

Simple and analytically tractable expressions for functional determinants are known to exist for many cases of interest. We extend the range of situations for which these hold to cover systems of self-adjoint operators of the Sturm– Liouville type with arbitrary linear boundary conditions. The results hold whether or not the operators have negative eigenvalues. The physically important case of functional determinants of operators with a zero mode, but where that mode has been extracted, is studied in detail for the same range of situations as when no zero mode exists. The method of proof uses the properties of generalized zeta-functions. The general form of the final results is the same for the entire range of problems considered.
An SVD-based Multimodal Clustering method for Social Event Detection

With the rapid development of social media sites such as Flickr, user-generated multimedia content on the Web has shown an explosive growth in recent years. Social event detection from these large multimedia collections has become one of the hottest topics in analysis of Web content. In this paper, an SVD-based Multimodal Clustering (SVDMC) algorithm is proposed to detect social events from multimodal data. SVDMC is a completely unsupervised approach aiming to take full advantage of the data at hand. Through using the binary adjacency matrix and Singular Value Decomposition (SVD), SVDMC is robust to data incompleteness for datasets in real world. Experiments conducted on the MediaEval Social Event Detection (SED) 2012 dataset demonstrate the effectiveness of the proposed method as well as discriminative power of different features.
Communities of practice: learning as a social system

You are a claims processor working for a large insurance company. You are good at what you do, but although you know where your paycheck comes from, the corporation mainly remains an abstraction for you. The group you actually work for is a relatively small community of people who share your working conditions. It is with this group that you learn the intricacies of your job, explore the meaning of your work, construct an image of the company, and develop a sense of yourself as a worker.
Variable Impedance Control of Redundant Manipulators for Intuitive Human–Robot Physical Interaction

This paper presents an experimental study on human-robot comanipulation in the presence of kinematic redundancy. The objective of the work is to enhance the performance during human-robot physical interaction by combining Cartesian impedance modulation and redundancy resolution. Cartesian impedance control is employed to achieve a compliant behavior of the robot's end effector in response to forces exerted by the human operator. Different impedance modulation strategies, which take into account the human's behavior during the interaction, are selected with the support of a simulation study and then experimentally tested on a 7-degree-of-freedom KUKA LWR4. A comparative study to establish the most effective redundancy resolution strategy has been made by evaluating different solutions compatible with the considered task. The experiments have shown that the redundancy, when used to ensure a decoupled apparent inertia at the end effector, allows enlarging the stability region in the impedance parameters space and improving the performance. On the other hand, the variable impedance with a suitable modulation strategy for parameters' tuning outperforms the constant impedance, in the sense that it enhances the comfort perceived by humans during manual guidance and allows reaching a favorable compromise between accuracy and execution time.
Enhanced Enzymatic Activity of Glycerol-3-Phosphate Dehydrogenase from the Cryophilic Saccharomyces kudriavzevii

During the evolution of the different species classified within the Saccharomyces genus, each one has adapted to live in different environments. One of the most important parameters that have influenced the evolution of Saccharomyces species is the temperature. Here we have focused on the study of the ability of certain species as Saccharomyces kudriavzevii to grow at low temperatures, in contrast to Saccharomyces cerevisiae. We observed that S. kudriavzevii strains isolated from several regions are able to synthesize higher amounts of glycerol, a molecule that has been shown to accumulate in response to freeze and cold stress. To explain this observation at the molecular level we studied the expression of glycerol biosynthetic pathway genes and we observed a higher expression of GPD1 gene in S. kudriavzevii compared to S. cerevisiae in micro-vinification conditions. We observed higher enzymatic activity of Gpd1p in S. kudriavzevii in response to osmotic and cold stress. Also, we determined that S. kudriavzevii Gpd1p enzyme presents increased catalytic properties that will contribute to increase glycerol production. Finally, we evaluated the glycerol production with S. cerevisiae, S. kudriavzevii or a recombinant Gpd1p variant in the same background and observed that the S. kudriavzevii enzyme produced increased glycerol levels at 12 or 28°C. This suggests that glycerol is increased in S. kudriavzevii mainly due to increased V max of the Gpd1p enzyme. All these differences indicate that S. kudriavzevii has changed the metabolism to promote the branch of the glycolytic pathway involved in glycerol production to adapt to low temperature environments and maintain the NAD+/NADH ratio in alcoholic fermentations. This knowledge is industrially relevant due to the potential use, for example, of S. cerevisiae-S. kudriavzevii hybrids in the wine industry where glycerol content is an important quality parameter.
Information seeking behaviors of new immigrants

This poster presents preliminary findings from a study focused on information seeking behaviors and everyday information practices of new immigrants who have settled in the Denver, Colorado metro area. Language was used as an inclusion criterion to recruit immigrants from three linguistic communities (Amharic speaking, Spanish speaking, and Russian speaking) to participate in the study. The study employed photovoice to gather data about participants' information seeking practices. First, the participants were asked to take pictures of the sources of information that they use in everyday life. In a follow‐up interview, participants explained the context within which each of the pictures were taken. The findings of the study indicate that the information seeking behaviors of new immigrants is bilingual shifting frequently from a native language to English depending on the source and type of information. Many new immigrants prefer information in their native language.
A Framework for Processing Brain Waves Used in a Brain-computer Interface

Recently, methodologies for developing brain-computer interface (BCI) games using the BCI have been actively researched. The existing general framework for processing brain waves does not provide the functions required to develop BCI games. Thus, developing BCI games is difficult and requires a large amount of time. Effective BCI game development requires a BCI game framework. Therefore the BCI game framework should provide the functions to generate discrete values, events, and converted waves considering the difference between the brain waves of users and the BCIs of those. In this paper, BCI game frameworks for processing brain waves for BCI games are proposed. A variety of processes for converting brain waves to apply the measured brain waves to the games are also proposed. In an experiment the frameworks proposed were applied to a BCI game for visual perception training. Furthermore, it was verified that the time required for BCI game development was reduced when the framework proposed in the experiment was applied
An Optimization Framework for XOR-Assisted Cooperative Relaying in Cellular Networks

This work seeks to address two questions in cooperative OFDMA networks: First, how network coding based cooperative diversity can be exploited effectively when overhearing is not readily available. Second, how to realize various forms of gains available, including multi-user diversity, cooperative diversity, and network coding. The main contribution of this paper is an unifying network utility maximization framework that jointly considers relay assignment, relay strategy selection, channel assignment and power allocation. We formulate the optimization problem both with and without XOR-CD, a simple XOR-assisted cooperative diversity scheme. We show that the optimization of physical layer resource allocation with XOR-CD is equivalent to a weighted 3-set packing problem, which is NP-complete, and can be efficiently solved with provably the best approximation factor. Without XOR-CD, the problem reduces to a weighted bipartite matching problem which can be optimally solved.
Robust Environmental Sound Recognition With Fast Noise Suppression for Home Automation

This paper proposes a robust environmental sound recognition system using a fast noise suppression approach for home automation applications. The system comprises a fast subspace-based noise suppression module and a sound classification module. For the noise suppression module, we propose a noise suppression method that applies fast subspace approximations in the wavelet domain. We show that this method offers a lower computational cost than conventional methods. In the sound classification module, we use a feature extraction method that is also based on the wavelet subspace, derived from seventeen critical bands in a signal's wavelet packet transform. Furthermore, we create a multiclass support vector machine by employing probability product kernels. The experimental results for ten classes of various environmental sounds show that the proposed system offers robust performance in environmental sound recognition tasks.
Pengaruh Functional Value, Emotional Value, Social Value, Satisfaction with The Game, Identification with The Character terhadap Intent to Purchase Virtual Goods: Studi pada Pembelian Skin Legends pada Games Mobile Legend

In the current era of globalization, technology to society cannot be separated, technological developments are increasingly rapidly causing impacts in various industries. Online game developers sell virtual items to generate income. As a result, it is increasingly important to identify factors that affect intent to purchase virtual items in online games. However, there are still very few specialized studies that address this topic. This research is an empirical investigation of the factors that affect intent to purchase virtual items in online games. This study determines the effects of functional value, emotional value, social value, satisfaction with the game, identification with the character, on intent to purchase virtual items. This research is a replication of the model from previous research, namely (Ho & Wu, 2012). This study uses an online survey to collect information from 245 generation Y player mobile game legends and does not have skin legends. Special research coverage in the Greater Jakarta area. This study uses structural equation model (SEM) method using AMOS21 software. Based on the results of the analysis described in this study, it shows that 5 hypotheses have proven to be positive and significant, 2 hypotheses that have negative and significant effects, and 2 hypotheses that have no influence and no significant effect. This study also presents managerial implications, conclusions, and limitations of research.
A Review of The O--C Method and Period Change

The classical O--C curves are discussed in different cases in which various period changes involved. Among them, the analytic O--C curves with frequency, amplitude modulations and with double modes are closely inspected, respectively. As a special, the light-time effect is illustrated. The features of period change noise and period change to metallicity are added at the end.
Digital 3D Ukiyoe Using the Effect of Motion Parallax

In this research, digital 3D ukiyoe was created by using current digital technology for the purpose of evoking many people's interest in ukiyoe that is one of the Japanese traditional culture. In ukiyoe, since the methods of Japanese traditional parallel perspective and Western geometric perspective are used, the layer model and the 3D partial model were used to represent the three-dimensional scene. In addition, three-dimensional display systems that use the effect of motion parallax of the user by measuring the user's head position were developed. Several contents were created and they were exhibited in the exhibitions. From the result of the questionnaire asked in the exhibitions, effectiveness of the proposed system was evaluated.
Diamond as a Solid State Quantum Computer with a Linear Chain of Nuclear Spins System

By removing a 12C atom from the tetrahedral configuration of the diamond, replacing it by a 13C atom, and repeating this in a linear direction, it is possible to have a linear chain of nuclear spins one half and to build a solid state quantum computer. One qubit rotation, controlled-not (CNOT) and controlled-controlled-not (CCNOT) quantum gates are obtained immediately from this configuration. CNOT and CCNOT quantum gates are used to determined the design parameters of this quantum computer.
Novel Microwave Microfluidic Sensor Using a Microstrip Split-Ring Resonator

In this paper, a new type of microwave microfluidic sensor is proposed to detect and determine the dielectric properties of common liquids. The technique is based on perturbation theory, in which the resonant frequency and quality factor of the microwave resonator depend on the dielectric properties of the resonator. A microstrip split-ring resonator with two gaps is adopted for the design of the sensors (i.e., a double split-ring resonator). This resonator is both compact and planar, making it suitable for a lab-on-a-chip approach. Several types of solvents are tested with two types of capillaries to verify sensor performance. At 3 GHz, very good agreement is demonstrated between simulated and measured results.
The Impact of Bureaucratic Control on Organizational Predisposition Towards Distributed Work Arrangements: An Empirical Study

Many organizational businesses today are operating in increasingly complex and turbulent environments. To meet the challenges of such uncertain environments, organizational flexibility and adaptation to change have become important tools for organizational survival. Since the emergence of distributed computing and the Internet, many organizations are evolving to flexible forms where employees work in distributed environments through distributed work arrangements (DWAs). These arrangements could allow firms to operate more effectively in the competitive environment. However, the willingness of firms to adopt such work arrangements may shaped to a significant extent by their pre-existing control systems. This research aims to investigate whether control structures, specifically bureaucracy in organizations, could affect organizational attitudes towards the adoption of DWAs. Using innovation diffusion theory, a path model is proposed wherein bureaucratic control could affect perceptions of organizational decision makers towards, and which ultimately affect their intentions to adopt DWA.
Why Politicians don't Protest Elections -- Losers' Consent in Established Democracies

The paper explores how politicians in established democracies respond to election outcome in terms of attitudinal system support. While current research is dominated by a disappointed loser perspective, it argues that a morally based voluntary acceptance perspective adds insight about the forces that motivates politicians to consent. Politicians (and citizens) agree that there are special qualities about democratic government (e.g. Dahl 1989). This creates a moral obligation for electoral losers to accept loss voluntarily. The paper employs data from consecutive surveys of Swedish parliamentary candidates to evaluate empirical support for a revised understanding of the processes at play. In support of a voluntary acceptance perspective it is found that support building effects of winning are stronger than support undermining effect of losing among politicians that are elected to office. Indeed, given standard institutional arrangement of representative democracies, losing politicians feel morally obliged to willingly accept unfavourable outcomes.
Trade, Growth, and Inequality

Combining the fields of international trade theory, economic development, and economic growth, this text provides an advanced exposition suitable for graduate students as well as researchers at all levels. It combines mathematical rigour with an exceptional breadth of approaches, including institutions, history, and comparative economics. Existing research is exposited and evaluated, and numerous new results are included. The central themes of economic inequality, within and between nations, are discussed, as is convergence, or the reduction of inequality. Distinctive features of the volume include a radical re-evaluation of the theoretical basis of the economic convergence model proposed by Barro and Sala-i-Martin, a new generalization of the standard HOS model, and a new concept, the economic environment, designed to model the effects of institutions in a more analytical and micro-founded manner is discussed. Uniquely, the real world examples included focus not only on countries participating fully in globalized trade, like China, but also those countries and regions failing to fully participate, specifically the Arab world and sub-Saharan Africa. The text concludes with a discussion of current issues in world economic governance, particularly the IMF and limitations of the Washington consensus, showing that some criticism fails to confront fundamental difficulties.