Miracle-dz/UniFAR-FTUs huggingface dataset:
An improved numerical model suggests potential differences of wind‐blown sand between on Earth and Mars

The studies on wind‐blown sand are crucial for understanding the change of climate and landscape on Mars. However, the disadvantages of the saltation models may result in unreliable predictions. In this paper, the saltation model has been improved from two main aspects, the aerodynamic surface roughness and the lift‐off parameters. The aerodynamic surface roughness is expressed as function of particle size, wind strength, air density, and air dynamic viscosity. The lift‐off parameters are improved through including the dependence of restitution coefficient on incident parameters and the correlation between saltating speed and angle. The improved model proved to be capable of reproducing the observed data well in both stable stage and evolution process. The modeling of wind‐blown sand is promoted by all improved aspects, and the dependence of restitution coefficient on incident parameters could not be ignored. The constant restitution coefficient and uncorrelated lift‐off parameter distributions would lead to both the overestimation of the sand transport rate and apparent surface roughness and the delay of evolution process. The distribution of lift‐off speed and the evolution of lift‐off parameters on Mars are found to be different from those on Earth. This may thus suggest that it is inappropriate to predict the evolution of wind‐blown sand by using the lift‐off velocity obtained in steady state saltation. And it also may be problematic to predict the wind‐blown sand on Mars through applying the lift‐off velocity obtained upon terrestrial conditions directly.
AMO-Advanced Modeling and Optimization, Volume 8, Number 1, 2006 Maximum Likelihood Estimation: A Single and Multi-objective Entropy Optimization Approach

In this paper we first considered a maximum likelihood estimation of trip distribution problem and next use primal-dual geometric programming method the said trip distribution problem converted into an entropy maximization trip distribution problem. Here the generalized cost function is assumed in different form, and then the said formulation is equivalent to single or multi-objective entropy maximization trip distribution problem. We use fuzzy mathematical programming method to show this equivalent problem formulation. The present article we use the concept of multi-objective trip distribution problem. AMS Mathematics Subject Classification: 90B05
17 – Recycling batteries

: Batteries are the power source for portable electrical and electronic devices, hence the use and discharge of batteries is growing all over the world along with such devices. Many directives have been elaborated, starting from the beginning of the 1990s, concerning the adequate destination of spent batteries in order to avoid metal contamination of soil and water resources. spent batteries represent an important secondary source of metals that can be normally found at very high concentration levels, sometimes even higher than those found in natural ores. in addition, some metals are quite expensive, such as cobalt and nickel, which can be found in significant amounts in NiCd, NiMH and Li-ion batteries. Therefore, the recovery of metals from spent batteries is also convenient for economic reasons since large amounts of solid wastes can be reused as secondary raw material. in this chapter the recycling of batteries is discussed.
Cloud Computing in Libraries and Higher Education : An Innovative User-Centric Quality of Service Model

Cloud Computing has emerged as an effective system to support the implementation and growth of e-learning in the higher education sector, as well as in institutional libraries. This rising trend has attracted several service providers to the market in a very short span of time. Students and faculties associated with higher education are experiencing an increased need for the use of CC Services to aid development and enhancement of their knowledge base and to help meet the requirement of constant access to the latest research data. While providing such services, however, sufficient consideration and importance has not been attributed to the Quality of Service (QoS) provided and as experienced by the user thus referenced as Quality of Experience (QoE). Currently, no standard model exists that could effectively define the QoE parameters from the users’ point of view. Hence it has become increasingly necessary to monitor, track, and quantify the variables of QoE for cloud computing-based e-learning applications and develop a new QoE Metrics Model. This information would help compare and identify the gaps between user expectations and the real QoS experience. In the current work, various variables of the functional and runtime layers of cloud computing applications, along with user demographic factors, and CC Service dimensions are studied. Dimension and scope are defined using the SERVQUAL model and its factors as a baseline. The new Innovative User-Centric Quality of Experience Metrics Model proposes to improve QoE by providing recommendations that increase the adaptability and effectiveness of cloud computing systems.
Communications of the Association for Information Systems Communications of the Association for Information Systems

: Living beyond the hype, the Internet of things (IoT) continues to grow and has clearly emerged as a leading-edge topic in information systems. As the IoT moves beyond novel technologies and exploratory sandbox initiatives to ubiquitous technologies and full production, understanding the phenomenon surrounding IoT challenges and issues has become even more important. In this paper, we explore the critical issues and challenges currently facing IoT adoption and implementation in order to identify areas that require further study. Specifically, we discuss IoT from several key perspectives including IoT connectivity, platforms and 5G, IoT analytics, IoT privacy, security, and litigation risks, IoT business value and monetization, and human interaction with IoT and design considerations Finally, through identifying the current state of IoT and IoT research, we identify potential areas of contribution and future directions for IoT research.
CHOOSING GROUPWARE TOOLS AND ELICITATION TECHNIQUES ACCORDING TO STAKEHOLDERS ’ FEATURES Gabriela

The set of groupware tools used during a distributed development process is usually chosen by taking into account predetermined business politics, managers’ personal preferences, or people in charge of the project. However, perhaps the chosen groupware tools are not the most appropriate for all the group members and it is possible that some of them would not be completely comfortable with them. To avoid this situation we have built a model and its supporting prototype tool which, based on techniques from psychology, suggests an appropriate set of groupware tools and elicitation techniques according to stakeholders’ preferences.
THE QUADRICS NETWORK : HIGH-PERFORMANCE CLUSTERING TECHNOLOGY

The interconnection network and its associated software libraries are critical components for high-performance cluster computers and supercomputers, Web-server farms, and network-attached storage. Such components will greatly impact the design, architecture, and use of future systems. Key solutions in high-speed interconnects include Gigabit Ethernet, GigaNet, the Scalable Coherent Interface (SCI), Myrinet, and the Gigabyte System Network (Hippi-6400). These interconnects differ from one another in their architecture, programmability, scalability, performance, and ability to integrate into large-scale systems. While Gigabit Ethernet resides at the low end of the performance spectrum, it provides a low-cost solution. GigaNet, SCI, Myrinet, and the Gigabyte System Network provide programmability and performance by adding communication processors on the network interface cards and implementing different types of user-level communication protocols. The Quadrics network (QsNet) surpasses these interconnects in functionality with an approach that integrates a node’s local virtual memory into a globally shared, virtual-memory space; provides a programmable processor in the network interface that allows the implementation of intelligent communication protocols; and delivers integrated network fault detection and fault tolerance. Consequently, QsNet already possesses many of the salient aspects of InfiniBand, an evolving standard that also gives an integrated approach to highperformance communication.
Transfer Learning via Minimizing the Performance Gap Between Domains Supplementary Materials

This document presents the proofs of the generalization bounds of the instance weighting approach to transfer learning. In Section 1, we present the notions and definitions used throughout the proofs. For the sake of readability and self-containedness, we then recall the theoretical results in Section 2, and their proofs are presented in Section 3. Finally, additional experimental results are reported in Section 4.
BIOINFORMATICS ORIGINAL PAPER

Motivation: Comparative genomics heavily relies on alignments of large and often complex DNA sequences. From an engineering perspective, the problem here is to provide maximum sensitivity (to ﬁnd all there is to ﬁnd), speciﬁcity (to only ﬁnd real homology) and speed (to accommodate the billions of base pairs of vertebrate genomes). Results: Satsuma addresses all three issues through novel strategies: (i) cross-correlation, implemented via fast Fourier transform; (ii) a match scoring scheme that eliminates almost all false hits; and (iii) an asynchronous ‘battleship’-like search that allows for aligning two entire ﬁsh genomes (470 and 217Mb) in 120 CPU hours using 15 processors on a single machine. Availability: Satsuma is part of the Spines software package, implemented in C++ on Linux. The latest version of Spines can be freely downloaded under the LGPL license from http://www . broadinstitute.org
Centroid moment tensor catalogue using a 3‐D continental scale Earth model: Application to earthquakes in Papua New Guinea and the Solomon Islands

Although both earthquake mechanism and 3‐D Earth structure contribute to the seismic wavefield, the latter is usually assumed to be layered in source studies, which may limit the quality of the source estimate. To overcome this limitation, we implement a method that takes advantage of a 3‐D heterogeneous Earth model, recently developed for the Australasian region. We calculate centroid moment tensors (CMTs) for earthquakes in Papua New Guinea (PNG) and the Solomon Islands. Our method is based on a library of Green's functions for each source‐station pair for selected Geoscience Australia and Global Seismic Network stations in the region, and distributed on a 3‐D grid covering the seismicity down to 50 km depth. For the calculation of Green's functions, we utilize a spectral‐element method for the solution of the seismic wave equation. Seismic moment tensors were calculated using least squares inversion, and the 3‐D location of the centroid is found by grid search. Through several synthetic tests, we confirm a trade‐off between the location and the correct input moment tensor components when using a 1‐D Earth model to invert synthetics produced in a 3‐D heterogeneous Earth. Our CMT catalogue for PNG in comparison to the global CMT shows a meaningful increase in the double‐couple percentage (up to 70%). Another significant difference that we observe is in the mechanism of events with depth shallower then 15 km and Mw < 6, which contributes to accurate tectonic interpretation of the region.
SurRender Umbra: A Visibility Determi-nation Framework for Dynamic Environments

A tape transport unit with a main deck plate that accommodates a magnetic tape cassette against two vertically disposed support pins. A tape head for the cassette is mounted on a spring loaded head plate that is slidably received by the main deck plate on two horizontally disposed support pins. The tape of the cassette is driven by being sandwiched between a drive capstan and a roller wheel of a pinch roller assembly that is pivotally mounted on the head plate and brought into engagement with the tape by a solenoid operated cantilever spring. The capstan is directly driven by a brushless motor for which the speed of operation is controlled electrically. The various constituents of the unit, including forward motion and rewind motors and solenoids for controlling the pinch roller assembly and the position of the main deck plate, are operated from motion control circuitry and accompanying circuitry that is used to sense the beginning and the end positions of the cassette tape.
hJam: Attachment Transmission in WLANs

Effective coordination can dramatically reduce radio interference and avoid packet collisions for multistation wireless local area networks (WLANs). Coordination itself needs consume communication resource and thus competes with data transmission for the limited wireless radio resources. In traditional approaches, control frames and data packets are transmitted in an alternate manner, which brings a great deal of coordination overhead. In this paper, we propose a new communication model where the control frames can be "attachedâ to the data transmission. Thus, control messages and data traffic can be transmitted simultaneously and consequently the channel utilization can be improved significantly. We implement the idea in OFDM-based WLANs called hJam, which fully explores the physical layer features of the OFDM modulation method and allows one data packet and a number of control messages to be transmitted together. hJam is implemented on the GNU Radio testbed consisting of eight USRP2 nodes. We also conduct comprehensive simulations and the experimental results show that hJam can improve the WLANs efficiency by up to 200 percent compared with the existing 802.11 family protocols.
A Study on Sensor Node Capture Defense Protocol for Ubiquitous Sensor Network

The RFID and Sensor system has much benefit but simultaneously has some problems such as user's privacy violation. Ubiquitous computing requirement in security that can happen in ubiquitous environment, and by suggesting the direction of security service centered on safe key distribution, certification and sensor node capture defense technology. In the proposed crypto systems we use a new security protocol. For the control of key that can be used for the certification of sensor node or encryption of sensed information, the researchers suggest a key control method and security protocol to defend against sensor node capture by applying PKI method to Hash Lock.
COMPUTING FROM PROJECTIONS OF RANDOM POINTS : A DENSE HIERARCHY OF SUBIDEALS OF THE

We study the sets that are computable from both halves of some (Martin-Löf) random sequence, which we call 1{2-bases. We show that the collection of such sets forms an ideal in the Turing degrees that is generated by its c.e. elements. It is a proper subideal of the K-trivial sets. We characterise 1{2-bases as the sets computable from both halves of Chaitin’s Ω, and as the sets that obey the cost function cpx, sq “ ? Ωs ́ Ωx. Generalising these results yields a dense hierarchy of subideals in the Ktrivial degrees: For k ă n, let Bk{n be the collection of sets that are below any k out of n columns of some random sequence. As before, this is an ideal generated by its c.e. elements and the random sequence in the definition can always be taken to be Ω. Furthermore, the corresponding cost function characterisation reveals that Bk{n is independent of the particular representation of the rational k{n, and that Bp is properly contained in Bq for rational numbers p ă q. These results are proved using a generalisation of the Loomis–Whitney inequality, which bounds the measure of an open set in terms of the measures of its projections. The generality allows us to analyse arbitrary families of orthogonal projections. As it turns out, these do not give us new subideals of the K-trivial sets; we can calculate from the family which Bp it characterises. We finish by studying the union of Bp for p ă 1; we prove that this ideal consists of the sets that are robustly computable from some random sequence. This class was previously studied by Hirschfeldt, Jockusch, Kuyper, and Schupp [25], who showed that it is a proper subclass of the K-trivial sets. We prove that all such sets are robustly computable from Ω, and that they form a proper subideal of the sets computable from every (weakly) LR-hard random sequence. We also show that the ideal cannot be characterised by a cost function, giving the first such example of a Σ3 subideal of the K-trivial sets.
BPMS-RA: a novel Reference Architecture for Business Process Management Systems

A growing number of business process management systems is under development both in academia and in practice. These systems typically are based on modern system engineering principles, such as service oriented architecture. At the same time, the advent of big data analytics has changed the scope of such systems, including functionality such as data mining. However, existing reference architectures for business process management systems date back 20 years and, consequently, are not up to date with these modern developments. To ﬁll the gap, this paper proposes an up-to-date reference architecture, called BPMS-RA, for modern business process management systems. BPMS-RA is based on analysis of recent literature and of existing commercial implementations. This reference architecture aims to provide a guideline template for the development of modern-day business process management systems, by specifying functions and interfaces that need to be provided by such systems as well as a set of quality criteria that they need to meet.
Performance of OFDMA Based System on Varying Channel Length for Different Modulation Technique

and channel response. In the channel estimation part, estimation of the channel transfer function in the preamble using MLS method is down. The channel length is varying and the Doppler frequency is fixed. The effects of varying channel length are shown on different modulation technique and also seen channel responses. At high SN, both methods reach an error floor due to the residual error produced by the ICI. This paper develop robust and low complexity channel estimation algorithms and compare different modulation technique for OFDMA reuse1 systems, which are in compatible with the IEEE 802.16e standard. In this paper, the effect of varying channel length and the impulse response of the different varying channels for different modulation techniques are shown. We get that, the QAM is better than other used modulation techniques for varying channel length.
A Data Mining-based Spam Detection System for Social Media Networks

We have entered the era of social media networks represented by Facebook, Twitter, YouTube and Flickr. Internet users now spend more time on social networks than search engines. Business entities or public figures set up social networking pages to enhance direct interactions with online users. Social media systems heavily depend on users for content contribution and sharing. Information is spread across social networks quickly and effectively. However, at the same time social media networks become susceptible to different types of unwanted and malicious spammer or hacker actions. There is a crucial need in the society and industry for security solution in social media. In this demo, we propose a scalable and online social media spam detection system for social network security. We employ our GAD clustering algorithm for large scale clustering and integrate it with the designed active learning algorithm to deal with the scalability and real-time detection challenges.
LTR design of discrete-time proportional-integral observers

Applies the proportional-integral (PI) observer in connection with loop-transfer recovery (LTR) design for discrete-time systems. Both the prediction and the filtering versions of the PI observer are considered. We show that a PI observer makes it possible to obtain time recovery, i.e., exact recovery for t/spl rarr//spl infin/, under mild conditions. Two systematic LTR design methods, one based on an extension of the linear quadratic Gaussian loop-transfer recovery (LQG/LTR) and the other based on linear matrix inequality (LMI), are derived for the discrete-time PI observer case, Explicit expressions for the recovery error when exact recovery is not achievable for all frequencies are also given.
Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation"

Manuscript received April 25, 2014; accepted May 25, 2014. Date of current version October 28, 2014. G. Sanroma is with the Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill 27599 USA (e-mail: gsanroma@gmail.com). G. Wu is with the Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill 27599 USA (e-mail: grwu@med.unc.edu). Y. Gao is with the Department of Radiology and Biomedical Research Imaging Center, and the Department of Computer Science University of North Carolina at Chapel Hill, Chapel Hill 27599 USA (e-mail: yzgao@cs.unc.edu). D. Shen is with the Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill 27599 USA, and also with the Department of Brain and Cognitive Engineering, Korea University, Seoul 136-713, Korea (e-mail: dgshen@med.unc.edu) Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee. org. Digital Object Identifier 10.1109/TMI.2014. 2364863 REFERENCES
Influence of Variation in Node Density on Routing Protocols in

Mobile ad-hoc network (MANET) is a collection of mobile nodes that have the ability to form a communication network without the help of any predefined infrastructure. The primary challenge in building a MANET is equipping each device to continuously maintain the information required to properly route traffic. Its routing protocol has to be able to cope with the new challenges that a MANET creates such as nodes mobility, security maintenance, and quality of service, limited bandwidth and limited power supply. With the increasing interest in MANETs, there has been a greater focus on the subject of improving the quality of service as per the requirement of the user according to the various conditions. The main objective of this paper is to compare the performance based on jitter present in transmission of packet in a MANET by using different types of protocols viz: Proactive, Reactive, Hybrid. This system is developed for IEEE 802.11b based Wireless network and simulated through Qualnet 5.0 with some mobile nodes. Packet size and No. of users are the two parameters in this paper which helps to find out the suitable type of protocol that can be use in a MANET.
Comparative Study of POS Taggers

POS Tagging provides important grammatical as well as contextual information for each word in the corpus. POS Tagging enables various companies to be able to track user reviews and can even be used for Speech Synthesis. In this paper, different POS Tagging Algorithms, namely, MemoryBased Learning Algorithm, Multi-Domain Web Based Algorithm and the Hybrid Model, will be compared on the basis of their execution time as well as efficiency. In Memory-Based Learning algorithm, the word to be tagged is searched in the lexicon using weighted similarity matrix, if an exact match is found, its lexical representation is retrieved, but, if it is not found, the lexical representation of its nearest neighbor is retrieved. Thus, the algorithm will not work efficiently for sparse data. On the other hand, MultiDomain Web Based Algorithm is used to tag unknown words. The word is searched over the web for its possible tags. Due to the web search, runtime overhead is induced for each word. The tag with highest occurring probability is assigned to the word. The Hybrid Model executes MemoryBased Learning algorithm for known words and MultiDomain Web Based Algorithm for unknown words.