Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Minimum Cost Area Localization for Wireless Sensor Network with a Mobile Sink

Localization has been a major research area within wireless sensor network. In a self-configuring, ad hoc wireless sensor network, it is a matter of foremost importance to have knowledge of the location of sensor nodes within a particular geographical area. This location not only helps in giving more meaning to the information gathered from sensor nodes, but also helps to achieve efficient network maintenance in case of a node or even a set of nodes' failure within a particular area. In this paper we present a localization scheme in which a mobile sink helps in coming up with an efficient location estimation of the sensor nodes. We propose that in a small geographical network, a single steady line of motion of mobile sink is sufficient to efficiently locate the sensor nodes by discovering the topology of the network. Our localization implementation is independent of any additional hardware and achieves better efficiency as it does not depend on error-prone RSSI or AoA calculation. Simulations are conducted in NS-2 to verify our approach, the results of which highlight the minimum error induced in estimating the location of sensor nodes.
Attitudes Towards Lesbians and Gay Men and Support for Lesbian and Gay Human Rights Among Psychology Students

Abstract A questionnaire comprising two scales, the short form of the Attitudes Towards Lesbians and Gay Men Scale (ATLG-S; Herek, 1984) and the newly devised Support for Lesbian and Gay Human Rights Scale (SLGHR) were administered to 226 students taking undergraduate psychology courses at universities in the United Kingdom, to assess their attitudes towards lesbians and gay men, and their level of support for lesbian and gay human rights. The results indicated that whilst only a small percentage of respondents expressed negative attitudes towards lesbians and gay men on the ATLG-S, the sample as a whole did not overwhelmingly support lesbian and gay human rights. The lack of support for lesbian and gay human rights is discussed in relation to its implications for psychology students as future practitioners and policymakers.
Nature and National Identity after Communism : Globalizing the Ethnoscape

In the last decade, scholars of Soviet and post-Soviet studies have been actively exploring space as a main social mechanism that makes individual and group identities material. Using different theoretical frameworks, they have convincingly documented how discursive attempts to claim (or reclaim) a particular location as the place of a nation's origin are closely linked with physical rearrangement of the existing territory. Discursive constructions of space are projected onto available territory, and then the physical terrain is reconfigured in accordance with imagined plans. As a result, newly erected structures or altered landscapes are used to reinforce cultural traditions, ideological values, or historical past. For examples of this, see Katherine Verdery, The Political Life of Dead Bodies: Reburial and Postsocialist Change (Columbia University Press, 1999); Evgeny Dobrenko and Eric Naiman, eds., The Landscape of Stalinism: The Art and Ideology ofSoviet Space (Seattle: University of Washington Press, 2003); and Kate Brown, A Biography ofNo Place: From Ethnic Borderland to Soviet Heartland (Cambridge, MA: Harvard University Press, 2004). In her book, Katrina Schwartz follows this scholarly trend by demonstrating the symbolic prominence of land in Latvian national imaginary. The book is based on fieldwork conducted in Latvia in 1998/1999 and during several subsequent visits. Combining ethnographic observation, interviews, literary documents, environmental policies, and case studies, Schwartz tries to understand why the peasantist "potato principle," i.e. a strong emotional, intellectual, and habitual investment in an agrarian lifestyle, would remain of key importance to the self-perception of ethnic Latvianswhether as a part of the Russian Empire, or the USSR, or the EU. The simple answer to this puzzle is actually quite sad. The "nation of farmers" seems to be a symbolic default, a recognition of a very limited choice of cultural idioms from which the country's national(ist) ideology could be built. As Schwartz suggests, when neither an heroic past nor a great present can be activated for producing a necessary bonding effect, it is nature in general and land in particular that functions as a shared foundation of the emerging collectivity. The following quote from "Letter to Society," published in 1999 by a group of high school students, reveals
Two-camera based accurate vehicle speed measurement using average speed at a fixed point

In this paper we present a novel two-camera-based accurate vehicle speed detection system. Two high-resolution cameras, with high-speed and narrow field of view, are mounted on a fixed pole. Using different focal lengths and orientations, each camera points to a different stretch of the road. Unlike standard average speed cameras, where the cameras are separated by several kilometers and the errors in measurement of distance can be in the order of several meters, our approach deals with a short stretch of a few meters, which involves a challenging scenario where distance estimation errors should be in the order of centimeters. The relative distance of the vehicles w.r. t. the cameras is computed using the license plate as a known reference. We demonstrate that there is a specific geometry between the cameras that minimizes the speed error. The system was tested on a real scenario using a vehicle equipped with DGPS to compute ground truth speed values. The obtained results validate the proposal with maximum speed errors <; 3kmh at speeds up to 80kmh.
Carbon stars and C/M ratio in the WLM dwarf irregular galaxy

We identify the rich carbon star population of the Magellanic-type dwarf irregular galaxy WLM (Wolf-Lundmark-Melotte) and study its photometric properties from deep near-IR observations. The galaxy also exhibits a clear presence of oxygen-rich population. We derive a carbon to M-star ratio of C/M = 0.56 ±0.12, relatively high in comparison with many galaxies. The spatial distribution of the AGB stars in WLM hints at the presence of two stellar complexes with a size of a few hundred parsecs. Using the H I map of WLM and the derived gas-to-dust ratio for this galaxy N(H I)/E(B - V) = 60 ± 10 [10 21 at. cm -2 mag -1 ] we re-determined the distance modulus of WLM from the IR photometry of four known Cepheids, obtaining (m - M) 0 = 24.84 ± 0.14 mag. In addition, we determine the scale length of 0.75 ± 0.14 kpc of WLM disk in the J-band.
The Research on Multi-robot Simultaneous Localization Mapping Algorithm

We study the multi-robots collaborating under controlled by the same worksite. And a Sherwood algorithm approach based on dynamic area for the multi-robots Simultaneous Localization and Mapping (SLAM) problem is proposed. It can calculate the location of the robots in the joint map by Sherwood algorithm. This task can be done with using a collection of the environment features of their own planar surface on which these robots are moving. The theoretical analysis and results of experiments show that the mapping of the dynamic area can greatly improve exploring efficiency and Sherwood algorithm can enhance the real-time of localization of each robot.
Display Technology : Stereo & 3 D Display Technologies

Recently there have been rapid advancements in 3D techniques and technologies. Hardware has both improved and become considerably cheaper, making real-time and interactive 3D available to the hobbyist, as well as to the researcher. There have been major studies in such areas as molecular modeling, photogrammetry, flight simulation, CAD, visualization of multidimensional data, medical imaging, tele-operations such as remote vehicle piloting and remote surgery, and stereolithography. In computer graphics, the improvements in speed, resolution, and economy make interactive stereo an important capability. Old techniques have been improved, and new ones have been developed. True 3D is rapidly becoming an important part of computer graphics, visualization, virtual-reality systems, and computer gaming. Numerous 3D systems are granted patents each year, but very few systems move beyond the prototype stage and become commercially viable. Here we treat the salient 3D systems.
Psychoeducation for people with intellectual disabilities and anxiety or schizophrenic disorders

Background: The prevalence of mental disorders in persons with an intellectual disability is 3-4 times higher than in the general population. Psychoeducation is an essential aspect to deal with mental disorders, to follow treatment, to reduce inpatient care and thus reduce costs in the health care system. German psychoeducation manuals for people with an intellectual disability and mental illness are still lacking. Aim of the work was to design concepts for psychoeducation for this target group. Methods: In the first step, a comprehensive literature search was conducted – there are only manuals for psychoeducation for patients without mental retardation. Secondly, established manuals for psychoeducation were used as the basis, they were adapted and modified in easy language, assisted by pictograms. Results: Two concepts for psychoeducation have been developed. They are designed as closed group programs and should be performed interactively. At the meetings, e.g. aspects such as drug-compliance as well as creation and use of an emergency plan are mediated. Aims are that patients learn that they can influence the course of the disease, that it is important to talk with other people about the disorder and to identify early warning signs. Conclusion: People with intellectual disabilities have a significantly increased risk of developing mental disorders. Two programs for psychoeducation in anxiety and schizophrenic disorders for people with mental retardation are available now. These programs may help to stabilize/ improve the state of health and to increase the quality of life of mentally disabled patients.
Left Circulant and Generator Type Matrices

Left as well as right circulant matrices are introduced as a special case of Hankel and Toeplitz matrices respect iv ly. Some new properties of left circulant matrices are discussed. A new class of matrices, called “generator type” matrices are introduced and their properties are discussed. An interesting decomposition of finite dimensional linear operators is introduced.
On-line free inverse kinematics joint/cartesian optimal control of redundant manipulators

This article presents a novel on-line optimal control for tracking tasks on redundant robot manipulators for which inverse kinematics is not required. The controller is composed by a stabilization Cartesian PID control plus a joint space optimal control, which is in charge of improving tracking performance. The joint space dynamic optimal control is based on the gradient flow approach with the robot dynamics as a constraint. The combination of both controllers is implemented in joint space, by considering the robot Jacobian, nonetheless for design of both controllers only direct kinematics and Cartesian errors are taken into account. Joint space controllers which are based on Cartesian errors commonly require the inverse kinematics of the robot, in our proposal the joint space optimal controller solves on line the inverse kinematics of the redundant robot by itself, thus an explicit inverse kinematics model of the robot is not needed. Furthermore the optimization control takes advantage of the redundancy of the robot to improve its performance. The paper presents experimental results with a three degree of freedom (dof) planar manipulator, showing that the optimal control part highly improves the tracking performance of the closed loop system.
Meta-programming grey-box connectors

In the recent past, architectural languages have begun to introduce so-called connectors. Connectors separate communication code from the application-specific components, so that it can be easily exchanged. Unfortunately, however, communication code is usually deeply woven into the components and often has to be replaced when the component is reused in a different context. We show that standard connectors alone are often not sufficient, since they are too limited in their adaptation and architectural support. As a solution to this problem, we propose meta-programming grey-box-connectors. They combine the architectural support of black-box connectors and the adaptation capabilities of white-box reuse. They allow for powerful manipulations such as removal of interfaces or changing inheritance relations, combined with the exchange of communications.
Efficient and fair scheduling of PHEV charging with neuro dynamic programming

Plug-in hybrid electric vehicles (PHEVs) are a midterm solution to reduce the nation's dependency on oil. The batteries of these PHEVs can be recharged in the charging stations. However, with the extensive adoption of PHEVs, the charging load of PHEVs will pose considerable challenges to the grid because these PHEVs consume a large amount of electrical power. Therefore, it is important to implement coordinated charging. In this paper, an optimal charging scheduling of the PHEVs is proposed by minimizing the power losses and guaranteeing the fairness of PHEV charging. We employ a neuro-dynamic programming(NDP), which has in-built capability of studying from outside environment and adapting system parameters based on the performance requirements. Simulation results indicate that NDP outperforms two scheduling algorithms and simultaneously considers: (i) charging efficiency, (ii) charging fairness, and (iii) less power losses.
Vection Latency Is Reduced by Bone-Conducted Vibration and Noisy Galvanic Vestibular Stimulation

Studies of the illusory sense of self-motion elicited by a moving visual surround (‘vection’) have revealed key insights about how sensory information is integrated. Vection usually occurs after a delay of several seconds following visual motion onset, whereas self-motion in the natural environment is perceived immediately. It has been suggested that this latency relates to the sensory mismatch between visual and vestibular signals at motion onset. Here, we tested three techniques with the potential to reduce sensory mismatch in order to shorten vection onset latency: noisy galvanic vestibular stimulation (GVS) and bone conducted vibration (BCV) at the mastoid processes, and body vibration applied to the lower back. In Experiment 1, we examined vection latency for wide field visual rotations about the roll axis and applied a burst of stimulation at the start of visual motion. Both GVS and BCV reduced vection latency by two seconds compared to the control condition, whereas body vibration had no effect on latency. In Experiment 2, the visual stimulus rotated about the pitch, roll, or yaw axis and we found a similar facilitation of vection by both BCV and GVS in each case. In a control experiment, we confirmed that air-conducted sound administered through headphones was not sufficient to reduce vection onset latency. Together the results suggest that noisy vestibular stimulation facilitates vection, likely due to an upweighting of visual information caused by a reduction in vestibular sensory reliability.
Computational Intelligence Hybrids Applied to Software Cost Estimation

In this paper, we propose new computational intelligence sequential hybrid architectures involving Genetic Programming (GP) and Group Method of Data Handling (GMDH) viz. GP-GMDH, GMDH-GP and recurrent architecture for Genetic Programming (GP) for software cost estimation. Three linear ensembles based on (i) arithmetic mean (ii) geometric mean and (iii) harmonic mean are also developed. We also performed GP based feature selection. The efficacy of Multiple Linear Regression (MLR), Polynomial Regression, Support Vector Regression (SVR), Classification and Regression Tree (CART), Multivariate Adaptive Regression Splines (MARS), Multilayer FeedForward Neural Network (MLFF), Radial Basis Function Neural Network (RBF), Counter Propagation Neural Network (CPNN), Dynamic Evolving Neuro–Fuzzy Inference System (DENFIS), TreeNet, Group Method of Data Handling and Genetic Programming is tested on the International Software Benchmarking Standards Group (ISBSG) release 10 dataset. Ten-fold cross validation is performed throughout the study. The results obtained from our experiments indicate that the GP-GMDH and GMDH-GP outperformed all the other techniques. We also performed t-test to see if the performances of the hybrids developed are statistically significant.
Fully simplified multivariate normal updates in non-conjugate variational message passing

Fully simplified expressions for Multivariate Normal updates in non-conjugate variational message passing approximate inference schemes are obtained. The simplicity of these expressions means that the updates can be achieved very effciently. Since the Multivariate Normal family is the most common for approximating the joint posterior density function of a continuous parameter vector, these fully simplified updates are of great practical benefit.
A Particle Swarm Optimization for Resource-Constrained Multi-Project Scheduling Problem

This paper considers the resource-constrained multi-project scheduling problem (RCMPSP) and makespan minimization as objective. We present a new particle swarm optimization (PSO) approach to solve this problem. The particle representation is based on precedence feasible of activities list. Based on the particle representation, a new update method based on one-point crossover is proposed. The framework of PSO for the RCMPSP according to the representation and the update method is developed. We test the algorithm, and the experimental results show that our PSO outperforms other heuristic methods.
Community Tourism Entrepreneurship for Sustainable Tourism Management in Southern Africa: Lessons from Zimbabwe

Zimbabwe tourism development has suffered the pitfalls of uneven development often producing disproportionate distribution of returns. While tourism has been promulgated as a panacea to the socio-economic development challenges Zimbabwe is facing, local and often marginalized rural communities have not meaningfully reaped the benefits through tourism income. In this paper community tourism entrepreneurship is suggested as a viable option to promote sustainable tourism as it places the local communities at the centre of tourism planning and management. The entrepreneurial model puts limelight on the Community Based Tourism evaluation criteria that fosters a broad-based ownership of the tourism resource base, and focuses on the degree of individual participation and the extent to which the tourism income is earned directly by local communities through entrepreneurial activities and administering tourism services. The findings of this study, based on a survey of the Community Based Tourism Enterprises in Mashonaland West Province in Zimbabwe indicate that local communities occupy a peripheral role in the tourism sector matrix. The real tourism industry is taking place outside of community control and influence. There is therefore need to build Community Based Tourism Enterprises (CBTEs) capacity in terms of tourism product development, linkages with the tourism market and further enhance community collective awareness of tourism opportunities in their locality. In this paper it is therefore notable that a higher level of community tourism entrepreneurship leads to greater socio-economic benefits for the majority of residents leading to biodiversity conservation and sustainable tourism development.
Anatomy of Learning-from-Exporting: Role of foreign knowledge acquisition

The essence of learning-from-exporting can be thought of as a process in which exporters absorb international knowledge spillovers and feed it back to their innovation efforts. Learning-from-exporting is often difficult to observe because it is conditional on at least two efforts: information gathering from foreign markets and zealous R&D. We exploit unique survey data to explicitly analyze the contribution of these activities to exporters' innovation. We find that gathering information from foreign markets significantly raises exporters' probability of succeeding in technology upgrades or new product developments, along with their R&D activities. While learning about the latest foreign technology and competitor products is at the core of such knowledge acquisition, international marketing activities, such as gathering feedback from foreign customers or information on the taste and needs of foreign customers, is also associated with a significant contribution. The importance of foreign knowledge acquisition is also confirmed for exporters that do not serve high-income markets or those that supply intermediate goods. Although it is likely that the acquisition of foreign knowledge contributes to exporters' innovation strategies, such as where to allocate R&D resources, it does not seem to raise the marginal effectiveness of R&D.
Validation of a counseling strategy to promote the adoption and the maintenance of physical activity by type 2 diabetic subjects.

OBJECTIVE There is enough evidence that physical activity is an effective therapeutic tool in the management of type 2 diabetes. The present study was designed to validate a counseling strategy that could be used by physicians in their daily outpatient practice to promote the adoption and maintenance of physical activity by type 2 diabetic subjects. RESEARCH DESIGN AND METHODS The long-term (2-year) efficacy of the behavioral approach (n = 182) was compared with usual care treatment (n = 158) in two matched, randomized groups of patients with type 2 diabetes who had been referred to our Outpatient Diabetes Center. The outcome of the intervention was consistent patient achievement of an energy expenditure of >10 metabolic equivalents (METs)-h/week through voluntary physical activity. RESULTS After 2 years, 69% of the patients in the intervention group (27.1 +/- 2.0 METs x h/week) and 18% of the control group (4.1 +/- 0.8 METs x h/week) achieved the target (P < 0.001) with significant (P < 0.001) improvements in BMI (intervention group 28.9 +/- 0.2 versus control group 30.4 +/- 0.3 kg/m(2)) and HbA(1c) (intervention group 7.0 +/- 0.1 versus control group 7.6 +/- 0.1%). CONCLUSIONS This randomized, controlled study shows that physicians can motivate most patients with type 2 diabetes to exercise long-term and emphasizes the value of individual behavioral approaches in daily practice.
Determinism versus Nondeterminism for Linear Time RAMs with Memory Restrictions

Our computational model is a random access machine with n read only input registers each containing c log n bits of information and a read and write memory. We measure the time by the number of accesses to the input registers. We show that for all k there is an e > 0 so that if n is sufficiently large then the elements distinctness problem cannot be solved in time kn with en bits of read and write memory; that is, there is no machine with this value of the parameters which decides whether there are two different input registers whose contents are identical.
Analysis of On-Body Transmission Mechanism and Characteristic Based on an Electromagnetic Field Approach

In this study, an electromagnetic field approach is used to clarify the mechanism of on-body transmission. A homogeneous cylinder is used as an arm model, and the characteristic of electromagnetic field distribution around the cylinder is extracted based on surface wave approximation and numerical analysis, respectively. As a result, the surface wave approximation is found to be valid in the far-field region from the excitation source in the frequency range of 10-150 MHz. Moreover, in the near-field region of the excitation source, the attenuation along the cylinder surface is much smaller than that toward the outside. In addition, by using a numerical human body model, the path loss for on-body transmission is also formulated.