Miracle-dz/UniFAR-FTUs huggingface dataset:
65 μ m ( H-band ) surface photometry of galaxies . IV : observations of 170 galaxies with the Calar Alto 2 . 2 m telescope

We present near-infrared (H band) surface photometry of 170 galaxies, obtained in 1997 using the Calar Alto 2.2m telescope equipped with the NICMOS3 camera MAGIC. The majority of our targets are selected among bright members of the Virgo cluster, however galaxies in the A262 and Cancer clusters and in the Coma/A1367 supercluster are also included. This data set is aimed at complementing the NIR survey in the Virgo cluster discussed in Boselli et al. (1997) and in the Coma Supercluster, presented in Papers I, II and III of this series. Magnitudes at the optical radius, total magnitudes, isophotal radii and light concentration indices are derived. Send offprint requests to: A. Boselli ⋆ based on observations taken at the Calar Alto Observatory, operated by the Max-Planck-Institut für Astronomie (Heidelberg) jointly with the Spanish National Commission for Astronomy. 1 Tables 1 and 2 are only available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/Abstract.html
PatentLine: analyzing technology evolution on multi-view patent graphs

The fast growth of technologies has driven the advancement of our society. It is often necessary to quickly grab the evolution of technologies in order to better understand the technology trend. The availability of huge volumes of granted patent documents provides a reasonable basis for analyzing technology evolution. In this paper, we propose a unified framework, named PatentLine, to generate a technology evolution tree for a given topic or a classification code related to granted patents. The framework integrates different types of patent information, including patent content, citations of patents, temporal relations, etc., and provides a concise yet comprehensive evolution summary. The generated summary enables a variety of patent-related analyses such as identifying relevant prior art and detecting technology gap. A case study on a collection of US patents demonstrates the efficacy of our proposed framework.
Comparative study between color texture and shape descriptors for multi-camera pedestrians identification

In this paper, we propose a comparative study between different descriptors based on color, texture and shape information. In particular, our study is focused on measuring the robustness of these descriptors in terms of identifing a person in a camera network. We prove through experimental study based on VIPeR pedestrians images dataset and “Cumulative Matching Characteristic” (CMC) measurement that color descriptors are the most appropriate in multi-camera context: they are less sensitive to the highly articulated human body, changes in lighting conditions and large pose variations.
University experts ’ knowledge acquisition : Investigating knowledge engineering system approach

Since knowledge plays a vital role in all acts of contemporary organizations, one of the main purposes of expert systems and artificial intelligence applications is to capture the expert’s knowledge and make it accessible to everyone. This study attempts to investigate a Knowledge Engineering System (KES) model, which proposes a set of elements and processes that facilitates this function. Data are gathered via questionnaires administered to academics staff in selected universities in order to spot their attitudes towards KES elements and determine the appropriate components and operations for the proposed KES, as well as to consider the extent to which all its factors are accepted by the respondents. The findings reveal that the respondents possess various levels of information and experience in certain aspects of the proposed KES, and adopt various practices which help significantly in the system implementation.
Two new approaches to bandwidth-efficient partnering for cooperative diversity

This paper presents two new techniques employing bandwidth-efficient modulation to enable two partners to cooperatively convey their data to a common destination. Both approaches integrate relaying and channel coding, exploiting the fact that each partner knows the data relayed by the other partner to enhance the partner-to-partner link. The first approach is based on bit-interleaved coded modulation (BICM); a key innovation is the use of set-partition (SP) labelling that enables the receiving partner to demodulate and decode based on a sparse subset of the original constellation. The second approach is based on trellis coded modulation (TCM); the local and relayed data are multiplexed together prior to encoding, and the receiving partner prunes the trellis edges inconsistent with the known relayed data. In both approaches, the receiver at the common destination benefits in two ways - indirectly from the increased diversity made possible by the enhanced partner-to-partner link, and directly by exploiting the SP-labeling/trellis-pruning in its decoding protocol. Simulations indicate that the new techniques offer significant performance gain over conventional cooperation based on time-sharing - a gain of 2.50 dB for the 16-QAM BICM system and a gain of 3.0 dB for the 8-PSK TCM system, both at a frame error rate of 10-2.
ELA NONNEGATIVITY OF SCHUR COMPLEMENTS OF NONNEGATIVE

Let A be a nonnegative idempotent matrix. It is shown that the Schur complement of a submatrix, using the Moore-Penrose inverse, is a nonnegative idempotent matrix if the submatrix has a positive diagonal. Similar results for the Schur complement of any submatrix of A are no longer true in general.
Fuzzy logic based effective bidding range computation and bidder's behavior estimation in keyword auctions

Keyword auctions are being used to sell the positions along the side of organic results shown by search engine when user types a keyword or a query related to keyword in a search engine. It has been a huge revenue generating arena for search engines since last decade. Irrespective of the great success of these types of auctions there are certain research issues which are still in inchoate state and needs urgent attention of research communities e.g. how much a naive bidder should bid without referring to any complex agents, how much he/she will be minimally charged for the participation etc. In this paper we propose a novel scheme to compute effective bidding range based on fuzzy logic which has threefold advantages. Firstly, it provides bidders with the information of his effective range of bids which can ensure his chances of participation and winning. Secondly, it provides auctioneer with the information about bidders bidding behavior which can help in predicting their revenues and lastly it can enforce the minimum reservation prices in natural way. Experimental results are presented to illustrate working of the proposed scheme.
Chapter 9 Sensor Skins : An Overview

Sensor skins can be broadly defined as distributed sensors over a surface to provide proprioceptive, tactile, and environmental feedback. This chapter focuses on sensors and sensor networks that can achieve strains on the same order as elastomers and human skin, which makes these sensors compatible with emerging wearable technologies. A combination of material choices, processing limitations, and design must be considered in order to achieve multimodal, biocompatible sensor skins capable of operating on objects and bodies with complex geometries and dynamic functionalities. This chapter overviews the commonly used materials, fabrication techniques, structures and designs of stretchable sensor skins, and also highlights the current challenges and future opportunities of such sensors.
An Information-Preserving Watermarking Scheme for Right Protection of EMR Systems

Recently, a significant amount of interest has been developed in motivating physicians to use e-health technology (especially Electronic Medical Records (EMR) systems). An important utility of such EMR systems is: a next generation of Clinical Decision Support Systems (CDSS) will extract knowledge from these electronic medical records to enable physicians to do accurate and effective diagnosis. It is anticipated that in future such medical records will be shared through cloud among different physicians to improve the quality of health care. Therefore, right protection of medical records is important to protect their ownership once they are shared with third parties. Watermarking is a proven well-known technique to achieve this objective. The challenges associated with watermarking of EMR systems are: 1) some fields in EMR are more relevant in the diagnosis process; as a result, small variations in them could change the diagnosis, and 2) a misdiagnosis might not only result in a life threatening scenario but also might lead to significant costs of the treatment for the patients. The major contribution of this paper is an information-preserving watermarking scheme to address the above-mentioned challenges. We model the watermarking process as a constrained optimization problem. We demonstrate, through experiments, that our scheme not only preserves the diagnosis accuracy but is also resilient to well-known attacks for corrupting the watermark. Last but not least, we also compare our scheme with a well-known threshold-based scheme to evaluate relative merits of a classifier. Our pilot studies reveal that-using proposed information-preserving scheme-the overall classification accuracy is never degraded by more than 1 percent. In comparison, the diagnosis accuracy, using the threshold-based technique, is degraded by more than 18 percent in a worst case scenario.
Parametric model approach for rapid SAR measurements

Specific absorption rate (SAR) designates the electromagnetic power density deposited per unit mass of biological tissues. This paper presents a new approach where SAR calculation for mobile phones is based on a parametric reconstruction of the E-field distribution in the phantom to assess rapid SAR measurements, by means of an ellipsoidal model. The estimation of its parameters is achieved by two ways: using a reduced number of real data points exclusively, and using a combination of real data points E-field extrapolation with a given expansion model.
Sliding Mode Control Approach for Maximum Power Tracking in Single-Phase Grid-Connected Photovoltaic Systems

This work presents a new control method to track the maximum power point of a single-phase grid- connected photovoltaic (PV) system. This converter is built on two stages: a DC/ DC stage and a DC/ AC stage. The two blocks are bound by a DC voltage intermediate bus. We seek the achievement of three control objectives: (i) maximum power point tracking (MPPT) of (PV) module. (ii) tight regulation of the DC bus voltage and (iii) unity power factor (PF) in the grid. To meet these objectives, a multi-loop controller is designed using the sliding mode technique based on an averaged nonlinear model of the whole controlled system. It is formally shown, through analysis and simulation results that the developed strategy control actually meets its objectives. Keywords: photovoltaic system, maximum power point (MPP), boost converter, sliding mode, unity power factor, lyapunov. I. INTRODUCTION Due to the requirement for environmental preservation and dramatic increase in energy consumption over the last decades, most countries have decided to strongly promote and develop clean and sustainable power generation sources. Also, governments encourage resorting to such energy solutions through significant tax credits.
Performance and Quality-of-Service Analysis of a Live P2P Video Multicast Session on the Internet

We evaluate the performance of a large-scale live P2P video multicast session comprising more than 120, 000 peers on the Internet. Our analysis highlights P2P video multicast characteristics such as high bandwidth requirements, high peer churn, low peer persistence in the P2P multicast system, significant variance in the media stream quality delivered to peers, relatively large channel start times, and flash crowd effects of popular video content. Our analysis also indicates that peers are widely spread across the IP address space, spanning dozens of countries and hundreds of ISPs and Internet ASes. As part of the P2P multicast evaluation several QoS measures such as fraction of stream blocks correctly received, number of consecutive stream blocks lost, and channel startup time across peers. We correlate the observed quality with the underlying network and with peer behavior, suggesting several avenues for optimization and research in P2P video multicast systems.
Detecting representative web articles using heterogeneous graphs

With the rapid growth of on-line news media, guarding against malicious news articles is becoming an essential requirement for on-line news service providers. Near duplicate articles are one of the most common types of malicious news articles. However, previous research has concentrated on how to improve the effectiveness and accuracy of finding near-duplicate article pairs or clusters, and not so much on the problem of deciding which of the duplicates should be deleted or retained for service. This is important problem for news services providers. Previous techniques on representative selection can be used on normal articles but show many disadvantages when dealing with news articles. In this paper, we propose a novel heterogeneous graph based representative news article selection algorithm named HGRS for finding the most valuable news from a given near-duplicate news articles. The proposed algorithm has been evaluated on real-world dataset and the experimental results show HGRS can select the representative news article effectively.
Genetic Algorithm for TDRS Communication Scheduling with Resource Constraints

The task of scheduling communications between Tracking and Data Relay satellites (TDRS) down link and spacecraft is getting more and more critical since an increasing number of spacecraft must communicate with ground station by the TDRS. In such a congested scenario, the current practice, in which experts build hand-made schedules, often leaves a large number of communication requests unserved. This paper propose a tight time-indexed formulation of the problem able to include several complex technological constraints. A genetic algorithm is then devised which provides near-optimal solutions of a set of large-scale test problems arising in the TDRS SpaceCraft constellation. The genetic shows numerical stability and robustness adequate for practical implementation.
Quasi-Sliding-Mode Control Based on Non-linear Surface

The quasi-sliding-mode control based on non-linear surface which has variable damping characteristic is proposed for discrete-time systems with uncertainty which is boundary or slow time-variant. The strategy could ensure reduce the region of quasi-sliding mode, improve dynamic quality. The control chattering and steady-states chattering are avoided. Dynamic performance and steady-state behavior get improved comparing with quasi-sliding mode control based on linear sliding surface.
Renal denervation: symply trapped by complexity?

This editorial refers to ‘Predictors of blood pressure response in the SYMPLICITY HTN-3 trial’[†][1], by D.E. Kandzari et al . , on page 219. Seven years after the first patient was treated with the Symplicity Arch catheter by Murray Esler and colleagues in Melbourne, Australia,1 our knowledge about the renal sympathetic nervous system and its modulation by catheter-based renal denervation has significantly evolved. This minimally invasive approach was developed to destroy the renal afferent and efferent sympathetic nerves in the vessel wall of the renal arteries by means of radiofrequency energy.2 First-in-man studies and open-label registries documented that this technique lowers sympathetic nerve activity and blood pressure in certain patients with resistant hypertension.3–6 The treatment was delivered safely with minimal procedural complications and with no detrimental effect on renal function.7,8 Long-term vascular safety, however, remains to be confirmed as concerns have been raised that the procedure might induce renal artery stenosis in some patients.9 Moreover, in preliminary studies, regression of left ventricular mass and improvements in diastolic function,10 as well as antiarrhythmic effects11 were observed following renal denervation. It was obvious that the results of previous published studies required validation in blinded, randomized, controlled clinical trials. While the first small randomized trial, Symplicity HTN-2 enrolling 106 patients to receive either renal nerve ablation or medical treatment alone without a sham procedure, confirmed the results obtained in registries, the blinded, sham-controlled Symplicity HTN-3 study randomizing 535 patients,8 again using Medtronic's Symplicity device, did meet its primary safety endpoint, but disappointingly failed to reach its primary efficacy endpoint, defined as a statistically significant decrease … [1]: #fn-2
Object Code-Near Software Verification

Computer programs are used in almost every area of our daily life. Especially in fields like medical computing and the whole sector of security systems they became almost vital or at least mission critical. One of the main problems of software engineering is to develop programs that are reliable enough to meet the needs of a mission critical appliance. Several approaches are taken to prove that software is correct, e.g. to show that it does what it should do and thereby establish trust in the software. This work gives an outline on the idea of formal software verification using the intermediate representation language RTL of the GNU Compiler Collection.
Interoperable read-write Linked Data application development with the LDP 4 j framework

Enterprises are increasingly using a wide range of heterogeneous information systems for executing and governing their business activities. Even if the adoption of service orientation has improved loose coupling and re-usability, applications are still isolated data silos whose integration requires complex transformations and mediations. However, by leveraging Linked Data principles those data silos can now be seamlessly integrated, and this opens the door to new data-driven approaches for Enterprise Application Integration (EAI). In this paper we present LDP4j, an open source Java-based framework for the development of interoperable read-write Linked Data applications, based on the W3C Linked Data Platform (LDP) specification.
A Hybrid FMCW-Interferometry Radar for Indoor Precise Positioning and Versatile Life Activity Monitoring

This paper presents a hybrid radar system that incorporates a linear frequency-modulated continuous-wave (FMCW) mode and an interferometry mode for indoor human localization and life activity monitoring applications. The unique operating principle and signal processing method allow the radar to work at two different modes for different purposes. The FMCW mode is responsible for range detection while the interferometry mode is responsible for life activities (respiration, heart beat, body motion, and gesture) monitoring. Such cooperation is built on each mode's own strength. Beam scanning is employed to determine azimuth information, which enables the system to plot 360° 2-D maps on which the room layout and objects' location can be clearly identified. Additionally, the transmitted chirp signal is coherent in phase, which is very sensitive to physiological motion and allows the proposed technique to distinguish human from nearby stationary clutters even when the human subjects are sitting still. Hence, the proposed radar is able to continuously track the location of individuals and monitor their life activities regardless of the complex indoor environment. A series of experiments have been carried out to demonstrate the proposed versatile life activity monitoring system.
Iron in the brain ( with apologies to Jean-Paul Sartre ) : Heavy metal mismanagement

Iron’s activity in the body can be two-faced. On the one hand it is integral to many enzymatic reactions; on the other hand it is toxic, with a great capacity for cellular damage. This review examines iron in the brain through the lens of multiple sclerosis (MS), reviewing the functions of intracellular and extracellular iron and their impact on the disease, as well as highlighting the focus of new research and controversial therapies. The primary cause of MS has remained enigmatic, ever since its first clinical documentation. Several studies have suggested a link between MS and iron. Abnormal iron accumulation has been found as deposits in MS lesions around cerebral veins, in the macrophages surrounding MS lesions, and also in deep brain structures. There are features of MS, such as the inflammatory environment and altered vasculature, which are important in highlighting mechanisms of how iron can accumulate, and also how iron dysregulation can create a positive feedback cycle that further promotes neurodegeneration and increased iron accumulation. This potential link between iron and MS has gained widespread attention, in part due to the controversial cerebrospinal venous insufficiency (CCSVI) hypothesis and “Liberation Therapy” first introduced by Dr. Zamboni in 2008. Determining the role of iron in MS will help provide a better insight to the different factions of scientists who disagree on whether MS is primarily an autoimmune disorder, or whether a neurodegenerative mechanism is the instigator.
Strategi Komunikasi Crowdfunding Melalui Media Sosial (Studi Kasus Strategi Komunikasi Crowdfunding “Upcycling Project Untuk Anak Putus Sekolah” Melalui Media Sosial Wujudkan.com)

Crowdfunding is one alternative funding that can be implemented by businesses minimal capital made through the internet. Kayonara is one of the fundraisers with a project called "Upcycling project for school dropouts" were made through wujudkan.com platform. This study investigates the how communication strategy undertaken by Kayonara doing crowdfunding through social media wujudkan.com. This research is a case study with a qualitative approach. Collecting data using the techniques of interview, observation and documentation. While informants selected using snowball sampling technique. In this study, the validity of the source is obtained using triangulation techniques. The result showed that the communication from Kayonara goal is to raise funds through wujudkan.com. For segmenting the target audience is primarily students and the middle class. Preparation of messages that do both side issue and delivered through articles and videos. Selection of media use blogs wujudkan.com. and the role of communicators do is bring the gospel to the donors about the development projects carried out.
Data assimilation in a sparsely observed one-dimensional modeled MHD system

A one dimensional non-linear magneto-hydrodynamic (MHD) system has been introduced to test a sequential optimal interpolation assimilation technique that uses a Monte-Carlo method to calculate the forecast error covariance. An ensemble of 100 model runs with perturbed initial conditions are used to construct the covariance, and the assimilation algorithm is tested using Observation Simulation Experiments (OSE's). The system is run with a variety of observation types (magnetic and/or velocity fields) and a range of observation densities. The impact of cross covariances between velocity and magnetic fields is investigated by running the assimilation with and without these terms. Sets of twin experiments show that while observing both velocity and magnetic fields has the greatest positive impact on the system, observing the magnetic field alone can also effectively constrain the system. Observations of the velocity field are ineffective as a constraint on the magnetic field, even when observations are made at every point. The implications for geomagnetic data assimilation are discussed.