Miracle-dz/UniFAR-FTUs huggingface dataset:
Contract-theoretic modeling for content delivery in relay-based publish-subscribe networks

Mobile social network (MSN) has been widely studied as a novel and effective way for communication in the current era of fast developing mobile devices, which enables the contents and services to be delivered opportunistically when mobile users contact. In this paper, we aim to optimize the content delivery from the content provider (CP) to the subscribers via relays in between. Tandem queueing model is applied to model the content delivery process, based on which absorbing Markov chain is used to derive the quality of the content delivery service received by the subscribers. The validity of the proposed queuing model has been verified by our simulation results. Observing that the content provider always has dominant control on the content delivery process and is pursuing the maximum profit by strategically designing the “rights” and “obligation” items for the subscribers, contract theory is adopted to reach an economically optimal solution. The numerical results verify the effectiveness of the contract-theoretic approach in maximizing the content provider's profit, and the capability to ensure the satisfaction of the heterogeneous subscribers with different quality of service (QoS) requirements.
Principal points estimation using mixture distributions

The k-principal points of a distribution are the k points that optimally partition the distribution. In this paper, we propose a method to estimate principal points from data by using mixture distributions when we have no prior knowledge of the distribution of data. Several simulation results are presented to compare the proposed method with the nonparametric k-means.
POSTER: SILC-FM: Subblocked interleaved Cache-Like Flat Memory Organization

In this paper, we present a flat address space organization called SILC-FM that allows subblocks from two pages to coexist in an interleaved fashion in die-stacked DRAM. Data movement at subblocked granularity consumes less bandwidth compared to migrating the entire large block and prevents fetching useless subblocks that may never get accessed. SILC-FM can get more spatial locality hits than CAMEO and PoM due to page-level operation and inter-leaving blocks respectively. The interleaved subblock placement improves performance by 55% on average over a static placement scheme without data migration. We also selectively lock hot blocks to prevent them from being involved in the hardware swapping operations. Additional features such as locking, associativity and bandwidth balancing improve performance by 11%, 8%, and 8% respectively, resulting in a total of 82% performance improvement over no migration static placement scheme. Compared to the best state-of-the-art scheme, SILC-FM gets performance improvement of 36%.
Generalized corner solution models in recreation demand

When examining consumer behavior using household level data, it is typical in many applications to find that consumers consume only a subset of the available goods, setting their demand to zero for the remaining goods. Examples of this include labor supply and food demand, as well as the demand for Leisure Studies; In multiple site recreation demand data sets, one usually observes that individuals visit only a subset of the available recreation sites, yet visit these sites multiple times during a season. Theoretically, these corner solutions are effectively modeled using non-negativity constraints in the utility maximization problem. Empirically estimating such a model is more challenging however, since most econometric techniques rely on the assumption of an interior solution;This dissertation examines estimation of generalized corner solution models of consumer choice as they apply to recreation demand. The emphasis is on providing utility consistent characterizations of the demand for recreation, which can then be used to perform welfare analysis. Specifically, the Kuhn-Tucker model of Wales and Woodland (1983) and the dual approach of Lee and Pitt (1986) are estimated for a four site recreation model. Welfare measurement techniques are developed for each, relying on Monte Carlo integration to arrive at consistent estimates of the compensating variation associated with changes in site attributes or the elimination of a site;The application focuses on the demand for fishing in the Wisconsin Great Lakes region. Data is available describing angler behavior during the 1989 fishing season, including both users and non-users of the Great Lakes fishery. Variables describing catch rates for the major sport fishing species, as well as pollution levels in the lakes, are included in the estimation. Welfare experiments are conducted by analyzing the effects of hypothetical changes in the quality variables;This research will be of interest not only to those working in recreation demand and resource valuation, but also those working in other areas of consumer choice, where the use of household level data is becoming more prevalent and operational methods for dealing with corner solutions are necessary.
2016 Ieee International Conference on Big Data (big Data) Big Data Development Platform for Engineering Applications

The present study utilizes VirtualBox virtual environment technology to develop the Personal, small size, Big Data platform that can effectively replicate a VM Hadoop system and provides an environment for developers to easily design and implement Hadoop Map/Reduce programming. This study also performs the benchmark by using the VM Hadoop, small-cluster Hadoop, and NCHC's large-scale Hadoop cluster, Braavos. The benchmark results show that the VM Hadoop is an ideal platform for the Map/Reduce code development and testing purpose, and the Braavos Hadoop cluster is the most appropriate for production runs. Moreover, based on the standard WordCount example, the computing time of Braavos Hadoop cluster is 232 times faster than the small-cluster Hadoop. In addition, an engineering example, the image recognition of flow monitoring, is given to illustrate the way of big image data analytics in the Hadoop system. Finally, the VM Hadoop, in term of a Big Data development platform, is ready for users to download. The first author of this paper would like to give a demonstration for the proposed VM Hadoop system as well as an engineering application.
POP method: an approach to enhance the security and privacy of RFID systems used in product lifecycle with an anonymous ownership transferring mechanism

Out of three types of RFID (Radio Frequency IDentification) tags, passive tags are widely used as they are cheaper and long-lasting. However, those tags are bounded with constraints, and also there is no acceptable method to manage the changing hands of the same tagged-product throughout the product lifecycle. Therefore, ensuring security and privacy of RFID tagged-products during the product-lifecycle has become crucial. This paper proposes a method named POP (Product-flow with Ownership-transferring Protocol), which consists of robust communication protocol and anonymous-ownership transferring mechanism to securely manage the changing hands of the same tagged-products and to control the behaviors of tags throughout the product lifecycle. Furthermore, the proposed method alleviates the risks by providing the controlling power of communication to the tagged-products' owners and also by introducing a long-term security maintenance technique. Thus, the POP method comprehensively ensures the privacy and security in RFID tagged-products used throughout the product lifecycle.
UMass at TREC 2004: Novelty and HARD

For the TREC 2004 Novelty track, UMass participated in all four tasks. Although finding relevant sentences was harder this year than last, we continue to show marked improvements over the baseline of calling all sentences relevant, with a variant of tfidf being the most successful approach. We achieve 5‐9% improvements over the baseline in locating novel sentences, primarily by looking at the similarity of a sentence to earlier sentences and focusing on named entities. For the High Accuracy Retrieval from Documents (HARD) track, we investigated the use of clarification forms, fixed- and variable-length passage retrieval, and the use of metadata. Clarification form results indicate that passage level feedback can provide improvements comparable to user supplied related-text for document evaluation and outperforms related-text for passage evaluation. Document retrieval methods without a query expansion component show the most gains from related-text. We also found that displaying the top passages for feedback outperformed displaying centroid passages. Named entity feedback resulted in mixed performance. Our primary findings for passage retrieval are that document retrieval methods performed better than passage retrieval methods on the passage evaluation metric of binary preference at 12,000 characters, and that clarification forms improved passage retrieval for every retrieval method explored. We found no benefit to using variable-length passages over fixed-length passages for this corpus. Our use of geography and genre metadata resulted in no significant changes in retrieval performance.
Aerosol effects on the photochemistry in Mexico City during MCMA-2006/MILAGRO campaign

Abstract. In the present study, the impact of aerosols on the photochemistry in Mexico City is evaluated using the WRF-CHEM model for the period from 24 to 29 March during the MCMA-2006/MILAGRO campaign. An aerosol radiative module has been developed with detailed consideration of aerosol size, composition, and mixing. The module has been coupled into the WRF-CHEM model to calculate the aerosol optical properties, including optical depth, single scattering albedo, and asymmetry factor. Calculated aerosol optical properties are in good agreement with the surface observations and aircraft and satellite measurements during daytime. In general, the photolysis rates are reduced due to the absorption by carbonaceous aerosols, particularly in the early morning and late afternoon hours with a long aerosol optical path. However, with the growth of aerosol particles and the decrease of the solar zenith angle around noontime, aerosols can slightly enhance photolysis rates when ultraviolet (UV) radiation scattering dominates UV absorption by aerosols at the lower-most model layer. The changes in photolysis rates due to aerosols lead to about 2–17 % surface ozone reduction during daytime in the urban area in Mexico City with generally larger reductions during early morning hours near the city center, resulting in a decrease of OH level by about 9 %, as well as a decrease in the daytime concentrations of nitrate and secondary organic aerosols by 5–6 % on average. In addition, the rapid aging of black carbon aerosols and the enhanced absorption of UV radiation by organic aerosols contribute substantially to the reduction of photolysis rates.
Searching for digital images on the web

Purpose – The purpose of this paper is to examine the way in which end user searching on the web has become the primary method of locating digital images for many people. This paper seeks to investigate how users structure these image queries.Design/methodology/approach – This study investigates the structure and formation of image queries on the web by mapping a sample of web queries to three known query classification schemes for image searching (i.e. Enser and McGregor, Jorgensen, and Chen). Findings – The results indicate that the features and attributes of web image queries differ relative to image queries utilized on other information retrieval systems and by other user populations. This research points to the need for five additional attributes (i.e. collections, pornography, presentation, URL, and cost) in order to classify web image queries, which were not present in any of the three prior classification schemes.Research limitations/implications – Patterns in web searching for image content do eme.
Convective cores in galactic cooling flows

We use hydrodynamic simulations with adaptive grid refinement to study the dependence of hot gas flows in X-ray luminous giant elliptical galaxies on the efficiency of heat supply to the gas. We consider a number of potential heating mechanisms including Type Ia supernovae and sporadic nuclear activity of a central supermassive black hole. As a starting point for this research we use an equilibrium hydrostatic recycling model (Kritsuk 1996). We show that a compact cooling inflow develops, if the heating is slightly insufficient to counterbalance radiative cooling of the hot gas in the central few kiloparsecs. An excessive heating in the centre, instead, drives a convectively unstable outflow. We model the onset of the instability and a quasi-steady convective regime in the core of the galaxy in two-dimensions assuming axial symmetry. Provided the power of net energy supply in the core is not too high, the convection remains subsonic. The convective pattern is dominated by buoyancy driven large-scale mushroom-like structures. Unlike in the case of a cooling inflow, the X-ray surface brightness of an (on average) isentropic convective core does not display a sharp maximum at the centre. A hybrid model, which combines a subsonic peripheral cooling inflow with an inner convective core, appears to be stable. We also discuss observational implications of these results.
Biomedical Relation Extraction: From Binary to Complex

Biomedical relation extraction aims to uncover high-quality relations from life science literature with high accuracy and efficiency. Early biomedical relation extraction tasks focused on capturing binary relations, such as protein-protein interactions, which are crucial for virtually every process in a living cell. Information about these interactions provides the foundations for new therapeutic approaches. In recent years, more interests have been shifted to the extraction of complex relations such as biomolecular events. While complex relations go beyond binary relations and involve more than two arguments, they might also take another relation as an argument. In the paper, we conduct a thorough survey on the research in biomedical relation extraction. We first present a general framework for biomedical relation extraction and then discuss the approaches proposed for binary and complex relation extraction with focus on the latter since it is a much more difficult task compared to binary relation extraction. Finally, we discuss challenges that we are facing with complex relation extraction and outline possible solutions and future directions.
Back propagation neural network based real-time self-collision detection method for humanoid robot

This paper proposes a back propagation neural network based real-time humanoid self-collision detection method which eliminates the repetition of detection computation for same and similar motion sets. The proposed system is able to reduce self-collision detection computation time significantly, because of the pattern recognition capability of the neural network. However, the accuracy of back propagation neural network based self-collision detection cannot be guaranteed 100%. For this reason, the system is also designed to detect potential miss detected motion sets though the module based self-collision detection method, which eliminates unnecessary motion pairs by focusing on certain modules with higher collision probability. Our module based self-collision detection method is a failsafe method. The proposed method has been implemented on a humanoid simulator, which modeled selected humanoid motion. The performance of our method successfully reduces the computation time of self-collision detection, and the “Fail safe” also operates successfully. For this reason, our method can improve the real-time motion control of humanoids in uncertain environment.
Overview of the K computer System

RIKEN and Fujitsu have been working together to develop the K computer, with the aim of beginning shared use by the fall of 2012, as a part of the High-Performance Computing Infrastructure (HPCI) initiative led by Japan’s Ministry of Education, Culture, Sports, Science and Technology (MEXT). Since the K computer involves over 80 000 compute nodes, building it with lower power consumption and high reliability was important from the availability point of view. This paper describes the K computer system and the measures taken for reducing power consumption and achieving high reliability and high availability. It also presents the results of implementing those measures.
Cross-kingdom sequence similarities between human micro-RNAs and plant viruses

Micro-RNAs regulate the expression of cellular and tissue phenotypes at a post-transcriptional level through a complex process involving complementary interactions between micro-RNAs and messenger-RNAs. Similar nucleotide interactions have been shown to occur as cross-kingdom events; for example, between plant viruses and plant micro-RNAs and also between animal viruses and animal micro-RNAs. In this study, this view is expanded to look for cross-kingdom similarities between plant virus and human micro-RNA sequences. A method to identify significant nucleotoide sequence similarities between plant viruses and hsa micro-RNAs was created. Initial analyses demonstrate that plant viruses contain nucleotide sequences which exactly match the seed sequences of human micro-RNAs in both parallel and anti-parallel directions. For example, the bean common mosaic virus strain NL4 from Colombia contains sequences that match exactly the seed sequence for micro-RNA of the hsa-mir-1226 in the parallel direction, which suggests a cross-kingdom conservation. Similarly, the rice yellow stunt viral cRNA contains a sequence that is an exact match in the anti-parallel direction to the seed sequence of hsa-micro-RNA let-7b. The functional implications of these results need to be explored. The finding of these cross-kingdom sequence similarities is a useful starting point in support of bench level investigations.
Active Fiber Composites for Application as Acoustic Emission Sensors : Principles and Characterization

Active Fiber Composites (AFC) manufactured at EMPA with commercially available piezoelectric ceramic fibers have been investigated for their potential use as Acoustic Emission (AE) sensors. AFC elements have been evaluated with methods derived from AE sensor characterization as well as additional measurements. Some commercial AE sensor types have been evaluated with the same methods for comparison. For both, AE sensors and AFC elements, sensitivity versus frequency and electrical impedance versus frequency measurements yield indications of the respective resonance frequencies of the piezoelectric sensor. Simulated AE applied on test plates shows an additional anisotropy of the sensitivity of the AFC for AE signals arriving from different directions relative to the fiber orientation. This anisotropy of the sensitivity of the AFC elements can, in principle, be applied to enhance the sensitivity of the AFC elements along certain fiber orientations of the composite structure. Their planar design and lower mass, combined with their intrinsic conformability make AFC elements seem well suited for structural integrity monitoring applications.
From Dog Licences to Democracy: Local Government Approaches to E-Service Delivery in Australia

Municipal councils worldwide are recognizing the need and value of the Internet to deliver information and services. The move to e-Government in Australia and across the world has been prompted by factors such as government reform and the need to reduce cost, and to improve the efficiency and effectiveness of service delivery. Only recently, however, have there been more significant moves towards local e-Government in many countries. This research paper reports on the progress local governments in Victoria, Australia have made towards e-Government implementation. The paper provides a background to types of electronic information and services provided by local government and the stages of electronic maturity. The research identifies many of the internal and external pressures on local governments which are often different from those at higher levels of government. The result for local government is often a varied and at times confused approach to eGovernment and electronic information and services which have a heavy focus on governance related issues.
Heteroscedastic Gaussian process regression using expectation propagation

Gaussian Processes (GPs) are Bayesian non-parametric models that achieve state-of-the-art performance in regression tasks. To allow for analytical tractability, noise power is usually considered constant in these models, which is unrealistic for many real world problems. In this work we consider a GP model with heteroscedastic (i.e., input dependent) noise power, and then, use Expectation Propagation (EP) to perform approximate inference on it. The proposed EP approach is much faster than Markov Chain Monte Carlo and more accurate than competing methods of similar computational cost. This superiority is illustrated in several experiments with synthetic and real-world data.
Near-optimal Distributions for Data Matrix Sampling

We give near-optimal distributions for the sparsification of large m n matrices, where m ! n, for example representing n observations over m attributes. Our algorithms can be applied when the non-zero entries are only available as a stream, i.e., in arbitrary order, and result in matrices which are not only sparse, but whose values are also highly compressible. In particular, algebraic operations with the resulting matrices can be implemented as (ultra-efficient) operations over indices.
A new subspecies and a new synonym of the genus Coladenia (Hesperiidae, Pyrginae) from China

Abstract The second subspecies of Coladenia buchananii (de Nicéville, 1889), viz. Coladenia buchananii separafasciata Xue, Inayoshi & Hu, ssp. n. , is discovered from south Jiangxi Province and west Fujian Province, southeast China. External and genital characters of both male and female of this new subspecies are illustrated and described. Coladenia neomaeniata Fan & Wang, 2006, syn. n. is proposed to be a junior synonym of Coladenia maeniata Oberthür, 1896, and the distribution of this species is briefly discussed.
The Multimedia-Based Learning System Improved Cognitive Skills and Motivation of Disabled Children with a Very High Rate

A multimedia-based learning system to teach children with intellectual disabilities (ID) the basic living and science concepts is proposed. The tutorials' development is pedagogically based on Mayer's Cognitive Theory of Multimedia Learning combined with Skinner's Operant Conditioning Model. Two types of tutorials are proposed. In the first type; the contents are developed in a static manner while in the second type; the contents are developed using a domain-specific ontology with text processing tools and Google search engine. Both types of tutorials have shown a considerable improvement in the learning process and allowed the children with ID to improve their cognitive skills and become more proactive in the classroom.