Miracle-dz/UniFAR-FTUs huggingface dataset:
A new compact CPW fed slot antenna for UWB applications

Design and analysis of a new coplanar waveguide (CPW) fed ultra wideband (UWB) slot antenna is presented in this paper. The proposed antenna is simple, compact and low cost. The overall dimension of the antenna is 28×21×1.6 mm3 and fed by 50Ω coplanar waveguide. The parametric analysis of the antenna is done by using MoM based commercially available electromagnetic solver IE3D. The proposed antenna is developed and its measured return loss is compared with the simulated result. The measurement is in good agreement with the simulation and the antenna offers excellent performance for UWB range from 3.1 GHz to 11.4 GHz exhibits a −10 dB return loss (VSWR <2) with fractional bandwidth of 114%. The proposed antenna gives bidirectional pattern in the E Plane and omni directional radiation pattern in the H Plane. In this paper the time domain analysis of the antenna is investigated by using the tool IE3D to verify the capability of the proposed antenna for the UWB environment.
The cost of post-abortion care in developing countries: a comparative analysis of four studies

Over the last five years, comprehensive national surveys of the cost of post-abortion care (PAC) to national health systems have been undertaken in Ethiopia, Uganda, Rwanda and Colombia using a specially developed costing methodology—the Post-abortion Care Costing Methodology (PACCM). The objective of this study is to expand the research findings of these four studies, making use of their extensive datasets. These studies offer the most complete and consistent estimates of the cost of PAC to date, and comparing their findings not only provides generalizable implications for health policies and programs, but also allows an assessment of the PACCM methodology. We find that the labor cost component varies widely: in Ethiopia and Colombia doctors spend about 30–60% more time with PAC patients than do nurses; in Uganda and Rwanda an opposite pattern is found. Labor costs range from I$42.80 in Uganda to I$301.30 in Colombia. The cost of drugs and supplies does not vary greatly, ranging from I$79 in Colombia to I$115 in Rwanda. Capital and overhead costs are substantial amounting to 52–68% of total PAC costs. Total costs per PAC case vary from I$334 in Rwanda to I$972 in Colombia. The financial burden of PAC is considerable: the expense of treating each PAC case is equivalent to around 35% of annual per capita income in Uganda, 29% in Rwanda and 11% in Colombia. Providing modern methods of contraception to women with an unmet need would cost just a fraction of the average expenditure on PAC: one year of modern contraceptive services and supplies cost only 3–12% of the average cost of treating a PAC patient.
Illumination Normalization for Outdoor Face Recognition by Using Ayofa-Filters

Abstract In this paper, we propose an illumination normalization app roach, which apparently improves the face recognition accuracy in outdoor environments. The pro posed approach computes the frequency variability and reflection direction on local face regions w here the direction of the light source is unknown. It effectively recovers the illumination on a face su rface. Majority of conventional approaches needs constant albedo coefficients as well as known illumina tio source direction to recover the illumination. Our novel approach computes unknown reflection d rections by using spatial frequency components on salient regions of a face. The method requires only one single image taken under any arbitrary illumination condition where we do not know the li ght source direction, strength, or light sources. The method relies on the spatial frequencies and do es not need to use any precompiled face model database. It references the nose tip to evaluate the re flection model that contains six different reflection vectors. We tested the proposed approach by still images from major face databases and conducted testing by using video images from an IP camera pla ced in outdoor. The efficiency of the Ayofa-filter was tested by both holistic-based approach es and feature-based methods. We used principal component analysis (PCA) and linear discriminan t analysis (LDA) as holistic methods and used Gabor-wavelets and active appearance model (AAM) as fe ature-based methods. The error rates obtained after the illumination-normalization show that o ur novel method significantly improves the recognition ratio with these recognition methods.
Secure 6 LoWPAN Mobility Support Scheme Employing PMIPv 6

In the USN environment, mobility support is an indispensable condition where USN is an integrated network with various infrastructures. Therefore, 6LoWPAN need to support movement of mobile sensor nodes inter subnet and PMIPv6 Domain is able to manage the 6LoWPAN mobile sensor nodes independently. We put our focus on a point of similarity to control mobile node in PMIPv6 that the MAG manage mobility of the MN by MN-ID and the 6LoWPAN nodes have their unique ID in their domain. For the above mentioned reason, we propose mobility support scheme employing PMIPv6 for 6LoWPAN mobile node. Beside, our scheme can deal with the Sybil attack by checking the signaling message during handover.
Opening the Black Box: Behavioral Responses of Teachers and Principals to Pay-for-Performance Incentive Programs

Educator incentive programs offer the promise of better aligning teacher compensation with effort, but potentially at the cost of introducing conflict or stress. Using North Carolina data, we examine how teachers’ receiving a performance bonus influences perceptions of the efficacy of school leadership and work environment. Surprisingly, results show perceived improved workplace quality in schools that barely missed the bonus, suggesting that the failure prompts positive change in the organization. Further, favorable survey responses and test score improvements are isolated to schools with some history of failures, suggesting a role for experimentation by school leadership to find reforms that work.
Unshared task: (Dis)agreement in online debates

Topic-independent expressions for conveying agreement and disagreement were annotated in a corpus of web forum debates, in order to evaluate a classifier trained to detect these two categories. Among the 175 expressions annotated in the evaluation set, 163 were unique, which shows that there is large variation in expressions used. This variation might be one of the reasons why the task of automatically detecting the categories was difficult. F-scores of 0.44 and 0.37 were achieved by a classifier trained on 2,000 debate sentences for detecting sentence-level agreement and disagreement.
Learning Models from Temporal-Logic Properties via Explanations

Given a model and a property expressed in temporal logic, a model checker normally produces a counterexample in case the model does not satisfy the property. This counterexample is meant to serve as a guide for manually modifying the model so that the new model does satisfy the property. We observe that basing the modification of a model on negative information (why a formula is not true) can have limitations, and we present a method employing positive information instead. Our method incrementally learns a subformula and marks the part of the model that makes the already learned subformula true (i.e. an explanation). Next, our method attempts to learn the rest of the formula without altering the marked part of the model.
Concept Mentions within KDD-2009 Abstracts (kdd09cma1) Linked to a KDD Ontology (kddo1)

We introduce the kddo1 ontology and semantically annotated kdd09cma1 corpus from the field of knowledge discovery in database (KDD) research. The corpus is based on the abstracts for the papers accepted into the KDD-2009 conference. Each abstract has its concept mentions identified and, where possible, linked to the appropriate concept in the ontology. The ontology is based on a human generated and readable semantic wiki focused on concepts and relationships for the domain along with other related topics, papers and researchers from information sciences. To our knowledge this is the first ontology and interlinked corpus for a subdiscipline within computing science. The dataset enables the evaluation of supervised approaches to semantic annotation of documents that contain a large number of high-level concepts relative the number of named entity mentions. We plan to continue to evolve the ontology based on the discovered relations within the corpus and to extend the corpus to cover other research paper abstracts from the domain. Both resources are publicly available at http://www.gabormelli. com/Projects/kdd/data/.
Pornography and objectification : re-reading “ the picture that divided Britain

Published version ATTWOOD, F. (2004). Pornography and objectification: re-reading " the picture that divided Britain ". Feminist media studies, 5 (1), 7-19. one copy of any article(s) in SHURA to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain.
Models and algorithms for efficient multiresolution topology estimation of measured 3-D range data

In this paper, we propose a new efficient topology estimation algorithm to construct a multiresolution polygonal mesh from measured three-dimensional (3-D) range data. The topology estimation problem is defined under the constraints of cognition, compactness, and regularity, and the algorithm is designed to be applied to either a cloud of points or a dense mesh. The proposed algorithm initially segments the range data into a finite number of Voronoi patches using the K-means clustering algorithm. Each patch is then approximated by an appropriate polygonal and eventually a triangular mesh model. In order to improve the equiangularity of the mesh, we employ a dynamic mesh model, in which the mesh finds its equilibrium state adaptively, according to the equiangularity constraint. Experimental results demonstrate that satisfactory equiangular triangular mesh models can be constructed rapidly at various resolutions, while yielding tolerable modeling error.
For Personal Use. Only Reproduce with Permission from the Lancet Identifying Effective Child Survival Interventions Child Survival Ii

The first paper in this series on child survival presented an unacceptable picture: more than 10 million children dying every year, almost all in low-income countries or poor areas of middle-income countries. 1 90% of these deaths occurred in just 42 countries, 2 most from one of a short list of causes: diarrhoea, pneumonia, measles, malaria, HIV/AIDS, and the underlying cause of undernutrition for deaths among children younger than 5 years, and asphyxia, preterm delivery, sepsis, and tetanus for deaths among neonates. 1 The assessment of deaths by cause provides a useful starting point for a stocktaking of available child survival interventions. In this paper we review the state of the evidence for interventions to reduce child mortality for each of the major direct and underlying causes of death in children younger than 5 years (under-5 deaths). The term intervention is used here in a limited sense to refer to a biological agent or action intended to reduce morbidity or mortality. Approaches used to reach children and mothers with the interventions they need are referred to as delivery strategies. We draw on existing research reports and systematic reviews to document the efficacy or effectiveness of each intervention in reducing mortality among children younger than 5 years, to summarise current coverage with these interventions, and to estimate how many child deaths could be prevented if proven interventions were delivered to all the children and mothers who need them. Delivery strategies are addressed in the next paper in the series. Our aim, then, is to assess the potential effect of translating current knowledge about child survival interventions into effective action. These questions take on added urgency in view of the millennium development goals, which were set in 2001 and adopted by the member states of the UN. 4 One of these eight goals is to reduce child mortality by two-thirds between 1990 and 2015. 4 We have just passed the halfway mark in this period, and unless there is substantial change, very soon, the target will be out of reach. Child mortality is the result of a complex web of determinants at many levels. 5 Although we recognise the important role played by distal determinants such as poverty and characteristics of the physical environment, we focus here on interventions addressing the more proximal determinants of child mortality and those that can be delivered mainly through the health sector. Interventions that addressed more …
Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser

This paper describes a probabilistic model for coordination disambiguation integrated into syntactic and case structure analysis. Our model probabilistically assesses the parallelism of a candidate coordinate structure using syntactic/semantic similarities and cooccurrence statistics. We integrate these probabilities into the framework of fully-lexicalized parsing based on largescale case frames. This approach simultaneously addresses two tasks of coordination disambiguation: the detection of coordinate conjunctions and the scope disambiguation of coordinate structures. Experimental results on web sentences indicate the effectiveness of our approach.
Implementing Machine Learning Algorithms on GPUs for Real-Time Traffic Sign Classification

This paper investigates traffic sign classification, which is an important problem to solve for autonomous driving. Linear discriminant analysis and convolutional neural networks achieved an accuracy of 98.25% and 98.75% respectively when classifying eight different types of traffic signs. The CNN was implemented on a GPU for real-time traffic sign classification: testing time for the CNN on a GPU was 4 ms/image, which was 7.5x as fast as running LDA on a CPU and 60.2x as fast as running CNN on a CPU. Additionally, different types of classification errors and the effects of adding a new sign to the dataset were explored.
Computer vision centric hybrid tracking for augmented reality in outdoor urban environments

A hybrid tracking system, which integrates Computer Vision (CV), GPS and inertial sensing, is presented. It is designed for precise and jitter-free augmentation on feature-rich planar surfaces in outdoor urban environments. Two recently developed CV algorithms, namely keypoint signatures and Efficient Second-order Minimization, are central to achieving the precision and stability required. As CV tracking algorithms are not scalable to large environments and not completely robust, GPS and inertial sensing are used to define a limited search region to initialize CV tracking. The modifications of both CV algorithms for outdoor operations are presented, along with the design considerations for building the proposed hybrid tracker. Experimentation of the tracker and augmentation on real world surfaces are presented.
Screening Rural and Urban Indian Population for Osteoporosis Using Heel Ultrasound Bone Densitometer

Osteoporosis is more common in India. It predominantly affects postmenopausal women, and elderly of both sexes. The mal-nutrition, and smoking, consumption of liquor and tobacco may have an effect on bone mineral density (BMD). The aim of this study was to screen the rural as well as urban population for osteoporosis using a portable ultrasound heel bone densitometer, A total number of 497 Indian people were screened for osteoporosis using portable heel ultrasound bone densitometer. It includes 342 urban populations, and 155 rural populations. In all the participants, the heel bone mineral density (BMD) was measured. The peak value of estimated heel BMD (g cm-2) measured in the rural young females was 0.515, whereas, in urban females, it was 0.462, It was higher in rural young females than in urban females, and was significant, The peak value of estimated heel bone mineral density, BMD (g cm-2) measured in the rural young males was 0.522, whereas, in urban males, it was 0.528, and there was no significant difference between the two types male population, In rural females, the calculated percentage loss in estimated heel BMD (g cm-2) between young adult age and moderate age was found to be 17.1%, whereas in urban females, it was 8.4%; The percentage loss in estimated heel BMD between young adult age and old age were found to be 33.6% and 21.6% in rural females and urban females respectively, In rural females, the calculated percentage loss in estimated heel BMD value was greater than in urban females, In rural males, the calculated percentage loss in estimated heel BMD (g cm-2) between young adult age and moderate age was found to be 8.6%, whereas, in rural males, it was 1.5%, The percentage loss in estimated heel BMD between young adult age and old age was found to be 12.1% in rural males, When using QUS device specific threshold (-1.9 T-score), it was found that 10.3% and 14.3% of the rural Indian women and men respectively, aged above 50 years had osteoporosis, whereas in urban women and men, the percentage of osteoporotic were found to be 0% and 10.5% respectively, The prevalence for the disease was greater in rural population and it was more prominent in men.
Who should catch ( this Exception ) { ? }

In this paper, we propose a software tool that can be used to speed up the software development lifecycle by automating the process of assigning new bugs to developers. Open bug repositories are now very common, and they are provided to the software users as a means to report any bugs they find while using the software. Many of the bugs reported complain about exceptions that are thrown by the program during normal operation of the software. Users report these bugs to the development team using bug reporting tools, (e.g. Bugzilla), and as a result of that, a person called Bug Triager tries to link between this bug and a developer who can fix it. Sometimes, the source of the bug is unclear, and as a result of that the developer can be reassigned several times. In this project, we propose an approach to automate this process by recommending developers who can fix a bug that complains from an exception. Moreover, we provide a ranking of developers according to their expected relationship with the bug so that more than one developer can work on the bug if needed, or if the first recommendation is unavailable. The approach is based on network analysis, and uses link prediction to rank developers with respect to a bug report. Moreover, in this report, in addition to using link prediction, we show several applications to using network analysis in the context of software analysis, like importance ranking and visualization. The Eclipse open source project was taken as a case study, and its CVS and Bugzilla repositories were the source of the datasets used to evaluate our approach. Experimental evaluation of the link prediction approach for recommending developers reveals its effectiveness and shows that its recommendations were similar to the actual bug assignments to a far extent.
A survey of query log processing techniques and evaluation of web query intent identification

Query log is the pouch of valuable information that records user's search queries and related actions on the internet. By mining the recorded information, it is possible to exploit the user's underlying goals, preferences, interests, search behaviors and implicit feedback. The wealth of mined information can be used in many applications such as query log analysis, query recommendation, query reformulation, query intent identification and many more to improve performance of search engine by providing more relevant results. Over the past decade, there has been tremendous work done for improving search engine results to flourish the users for searching. This paper reviews and compares some of the available methods to give an insight into the area of query log processing for information retrieval. Our approach classifies web query intent based on knowledge extraction from query log analysis.
A simple and general proof for the convergence of Markov processes to their mean-field limits

Mean-field models approximate large stochastic systems by simpler differential equations that are supposed to approximate the mean of the larger system. It is generally assumed that as the stochastic systems get larger (i.e., more people or particles), they converge to the mean-field models. Mean-field models are common in many fields, but their convergence is rarely proved. The existing approaches rely on operator semigroups, martingales, PDEs, or infinite systems of ODEs. We give a general proof for their convergence using only Taylor's theorem and basic ODE results. We hope this allows applied researchers to routinely show convergence of their mean-field models, putting their work on a stronger foundation.
Special challenges of robotic gripping in space

The special problems of robotic gripping in space are identified and enumerated. The mechanical and control aspects of this class of gripper are discussed briefly. It is found that the impact of zero- or microgravity necessitates rethinking of the underlying principles of grasping, manipulating and autochanging of end-effectors. The fundamental differences of this class of grippers from the familiar cases are the requirement for a positive grasp as opposed to frictional grasp, the requirement of a bearing surface on the fingers in place of friction pads, and the requirement for the integration of a screwdriver with the end-effector. The control problems are influenced greatly by the nonavailability of compliance from the object and fixtures. <<ETX>>
Generalized Analytical Framework for the Performance Assessment of Slotted Random Access Protocols

This manuscript provides a general analytical framework to accurately predict the performance of several slotted Random Access (RA) schemes such as Slotted Aloha and Diversity Slotted Aloha. Compared to past literature the proposed analytical framework allows to perform accurate performance estimation of these RA schemes exploiting state-of-the-art forward error correction schemes in the presence of packet power unbalance as it is the case in many practical systems. Furthermore, the analytical framework is also capable to accurately approximate the performance of more recent RA schemes particularly suitable for satellite communications such as Contention Resolution Diversity Slotted Aloha exploiting iterative interference cancellation techniques on top of packet repetition within the frame to further improve the RA scheme performance. The analytical results have been successfully verified against a comprehensive set of simulations covering cases of practical interest.
Approximating Data with the Count-Min Sketch

Faced with handling multiple large data sets in modern data-processing settings, researchers have proposed sketch data structures that capture salient properties while occupying little memory and that update or probe quickly. In particular, the Count-Min sketch has proven effective for a variety of applications. It concurrently tracks many item counts with surprisingly strong accuracy.