Miracle-dz/UniFAR-FTUs huggingface dataset:
Shifted dispersion-induced RF-fading based continuously tunable optoelectronic oscillator

A new continuously tunable optoelectronic oscillator based on shifted dispersion-induced RF-fading is proposed and experimentally demonstrated. The design provides wideband continuously all-optical tunability by incorporating the shifted RF-fading based on a Mach-Zehnder structure in an optoelectronic feedback loop. By simply varying the path difference between the two arms of the Mach-Zehnder configuration via an adjustable variable delay line, the fundamental frequency of the oscillator can achieve extremely high and continuous tuning with a frequency upper bound dependent on the delay properties of the variable optical delay line.
An indexed model of recursive types for foundational proof-carrying code

The proofs of "traditional" proof carrying code (PCC) are type-specialized in the sense that they require axioms about a specific type system. In contrast, the proofs of foundational PCC explicitly define all required types and explicitly prove all the required properties of those types assuming only a fixed foundation of mathematics such as higher-order logic. Foundational PCC is both more flexible and more secure than type-specialized PCC.For foundational PCC we need semantic models of type systems on von Neumann machines. Previous models have been either too weak (lacking general recursive types and first-class function-pointers), too complex (requiring machine-checkable proofs of large bodies of computability theory), or not obviously applicable to von Neumann machines. Our new model is strong, simple, and works either in λ-calculus or on Pentiums.
Connecting Adaptive Behaviour and Expectations in Models of Innovation: The Potential Role of Artificial Neural Networks

In this methodological work I explore the possibility of explicitly modelling expec-tations conditioning the R&D decisions of firms. In order to isolate this problem from the controversies of cognitive science, I propose a black box strategy through the concept of internal model . The last part of the article uses artificial neural networks to model the expectations of firms in a model of industry dynamics based on Nelson & Winter (1982).
Cortical Language Mapping by Repetitive Transcranial Magnetic Stimulation - Localization of Language-Positive Cortical Regions by Different Task Types

The present study concerns the influence of utilized language tasks on the localization of language-positive areas and evoked error types during repetitive navigated transcranial magnetic stimulation (rTMS). 19 subjects underwent rTMS language mapping combined with object naming, pseudoword reading, verb generation, and action naming. In summary, the localization of language-positive areas varied depending on the applied task, and the distribution of error types differed among different tasks. Thus, to improve preoperative language mapping, it could be beneficial to select a language task according to the region of interest.
Outsourcing Privacy-Protecting Social Networks to a Cloud

In the planet, corporations would publish social networks to a 3rd party, e.g., a cloud service supplier, for promoting reasons. Protective privacy once business enterprise social network information becomes a vital issue. During this paper, we tend to establish a unique sort of privacy attack, termed 1*neighborhood attack. We tend to assume that associate aggressor has data regarding the degrees of a target's one-hop neighbors, additionally to the target's 1-neighborhood graph, that consists of the one-hop neighbors of the target and also the relationships among these neighbors With this data, Associate in Nursing wrong doer could re-identify the target from a k-anonymity social network with a likelihood beyond 1/k, wherever any node's one-neighborhood graph is isomorphism with k 1 alternative nodes' graphs. To resist the 1*neighborhood attack, we have a tendency to outline a key privacy property, likelihood identity, for Associate in Nursing outsourced social network, Associate in Nursing propose a heuristic indistinguishable cluster anonymization (HIGA) theme to come up with an anonymzed social network with this privacy property. The empirical study indicates that the anonymzed social networks will still be accustomed answer combination queries with high accuracy.
QPRD: QoS-aware Peering Routing Protocol for Delay Sensitive Data in Hospital Body Area Network Communication

The consistent performance, energy efficiency, and reliability are important factors for real-time monitoring of a patient's data, especially in a hospital environment. In this paper a routing protocol is proposed by considering the Quality of Service requirements of the body area network data packets. A mechanism for handling delay-sensitive packets is provided by this protocol. Extensive simulations using OMNeT++ based simulator Castalia illustrate that the proposed algorithm provides better performance than other QoS-aware routing protocols in terms of higher successful transmission rates, lower overall network traffic load, and fewer number of packet timeouts in both the mobile and static patient scenarios.
Implementation of MAC using area efficient and reduced delay vedic multiplier targeted at FPGA architectures

The Multiply-Accumulator (MAC) unit always lies in the critical path that determines the speed of the overall hardware systems. Therefore, a high-speed MAC that is capable of supporting multiple precisions and parallel operations is highly desirable. This paper describes the implementation of a MAC unit using area efficient Vedic multiplier which enhanced in terms of area and path delay. Speed of the multiplier is very important to any Digital Signal Processors (DSPs). To construct a N×N bit Vedic Multiplier, four N/2×N/2 VM and three N-bit Ripple Carry Adders (RCAs) are required. But in our proposed VM, instead of 3 N-bit RCA, only one N-bit RCA and our two proposed adders are used. In our proposed Adders, the area required for N-bit RCA has been reduced, leading to a greater reduction in the logic delay. We have developed the generalized architectures for NxN VM, MAC unit and for our proposed Adders. The proposed MAC and conventional MAC are coded in Verilog, synthesized and simulated using ISE simulator. It is implemented on the Xilinx Spartan6 family xc6slx150t-4fgg900 FPGA. The Area and logic delay of the proposed MAC and conventional VM are compared.
A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory

Emotion recognition is a very hot topic, which is related with computer science, psychology, artificial intelligence, etc. It is always performed on facial or audio information with classical method such as ANN, fuzzy set, SVM, HMM, etc. Ensemble learning theory is a novelty in machine learning and ensemble method is proved an effective pattern recognition method. In this paper, a novel ensemble learning method is proposed, which is based on selective ensemble feature selection and rough set theory. This method can meet the tradeoff between accuracy and diversity of base classifiers. Moreover, the proposed method is taken as an emotion recognition method and proved to be effective according to the simulation experiments.
Double-Indexing Mechanism of Search Engine Based on Campus Net

This paper discusses the double-indexing mechanism of search engine based on campus net. At first of the paper, we introduce the search engine and its types. Then, we refer to the search engine of campus net that is not general full-text search engine and the necessary of designing CNSE. Furthermore, the structure of the index is described. In addition, we discuss the word-filtering mechanism, performance optimization of index and implement scheme of CNSE system. And we conclude by combining the search engine with Web service
Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks

In fully distributed networks data mining is an important tool for monitoring, control, and for offering personalized services to users. The underlying data model can change as a function of time according to periodic (daily, weakly) patterns, sudden changes, or long term transformations of the environment or the system itself. For a large space of the possible models for this dynamism-when the network is very large but only a few training samples can be obtained at all nodes locally-no efficient fully distributed solution is known. Here we present an approach, that is able to follow concept drift in very large scale and fully distributed networks. The algorithm does not collect data to a central location, instead it is based on online learners taking random walks in the network. To achieve adaptivity the diversity of the learners is controlled by managing the life spans of the models. We demonstrate through a thorough experimental analysis, that in a well specified range of feasible models of concept drift, where there is little data available locally in a large network, our algorithm outperforms known methods from related work.
Compact Modeling of Perpendicular-Anisotropy CoFeB/MgO Magnetic Tunnel Junctions

Magnetic tunnel junctions (MTJs) composed of ferromagnetic layers with perpendicular magnetic anisotropy (PMA) are of great interest for achieving high-density nonvolatile memory and logic chips owing to its scalability potential together with high thermal stability. Recent progress has demonstrated a capacity for high-speed performance and low power consumption through current-induced magnetization switching. In this paper, we present a compact model of the CoFeB/MgO PMA MTJ, a system exhibiting the best tunnel magnetoresistance ratio and switching performance. It integrates the physical models of static, dynamic, and stochastic behaviors; many experimental parameters are directly included to improve the agreement of simulation with experimental measurements. Mixed simulation based on the 65-nm technology node of a magnetic flip-flop validates its relevance and efficiency for MTJ/CMOS memory and logic chip design.
EcoDroid: An Approach for Energy-Based Ranking of Android Apps

The ever increasing complexity of mobile apps comes with a higher energy cost, creating an inconvenience for users on batter-constrained mobile devices. At the same time, due to the meteoric rise of the numbers apps provisioned on app repositories, there are often multiple apps from the same category (e.g., Weather, dictionary) that provide similar features. In spite of similar functionality, the apps may present very different energy costs, due to the choices made in their design and construction. Given apps with similar features, users would prefer an app with the least energy cost. However, app repositories are currently lacking information about relative energy cost of apps in a given category, forcing the users to blindly choose an app for installation without a clear understanding of its energy implications. To address this issue, we have developed Eco Droid, an approach that ranks apps from the same category based on their energy consumption. To that end, Eco Droid uses both static and dynamic analyses to estimate energy consumption of apps in the same category and rank them accordingly. Our initial experiments have demonstrated the ability of Eco Droid in accurately ranking the energy cost of multiple apps from a particular category.
AXCIS : rapid processor architectural exploration using canonical instruction segments

In the early stages of processor design, computer architects rely heavily on simulation to explore a very large design space. Although detailed microarchitectural simulation is effective and widely used for evaluating different processor configurations, long simulation times and a limited time-to-market severely constrain the number of design points explored. This thesis presents AXCIS, a framework for fast and accurate early-stage design space exploration. Using instruction segments, a new primitive for extracting and representing simulation-critical data from full dynamic traces, AXCIS compresses the full dynamic trace into a table of canonical instruction segments (CIST). CISTs are not only small, but also very representative of the dynamic trace. Therefore, given a CIST and a processor configuration, AXCIS can quickly and accurately estimate performance metrics such as instructions per cycle (IPC). This thesis applies AXCIS to in-order superscalar processors, which are becoming more popular with the emergence of chip multiprocessors (CMP). For 24 SPEC CPU2000 benchmarks and all simulated configurations, AXCIS achieves an average IPC error of 2.6% and is over four orders of magnitude faster than conventional detailed simulation. While cycle-accurate simulators can take many hours to simulate billions of dynamic instructions, AXCIS can complete the same simulation on the corresponding CIST within seconds. Thesis Supervisor: Krste Asanovi6 Title: Associate Professor
User-centred authentication feature framework

Purpose – This paper aims to propose that more useful novel schemes could develop from a more principled examination and application of promising authentication features. Text passwords persist despite several decades of evidence of their security and usability challenges. It seems extremely unlikely that a single scheme will globally replace text passwords, suggesting that a diverse ecosystem of multiple authentication schemes designed for specific environments is needed. Authentication scheme research has thus far proceeded in an unstructured manner. Design/methodology/approach – This paper presents the User-Centred Authentication Feature Framework, a conceptual framework that classifies the various features that knowledge-based authentication schemes may support. This framework can used by researchers when designing, comparing and innovating authentication schemes, as well as administrators and users, who can use the framework to identify desirable features in schemes available for selection. Findings .
Title Stata.com Methods and Formulas for Sem — Methods and Formulas for Sem Remarks and Examples

Description Remarks and examples References Also see Description The methods and formulas for the sem commands are presented below. Remarks are presented under the following headings: Variable notation Model and parameterization Summary data Maximum likelihood Weighted least squares Groups Fitted parameters Standardized parameters Reliability Postestimation Model framework Goodness of fit Group goodness of fit Equation-level goodness of fit Wald tests Score tests Residuals Testing standardized parameters Stability of nonrecursive systems Direct, indirect, and total effects Predictions Variable notation We will use the following convention to keep track of the five variable types recognized by the sem estimation command: 1. Observed endogenous variables are denoted y.
The role of sense of effort on self-selected cycling power output

Purpose: We explored the effects of the sense of effort and accompanying perceptions of peripheral discomfort on self-selected cycle power output under two different inspired O2 fractions. Methods: On separate days, eight trained males cycled for 5 min at a constant subjective effort (sense of effort of ‘3’ on a modified Borg CR10 scale), immediately followed by five 4-s progressive submaximal (sense of effort of “4, 5, 6, 7, and 8”; 40 s between bouts) and two 4-s maximal (sense of effort of “10”; 3 min between bouts) bouts under normoxia (NM: fraction of inspired O2 [FiO2] 0.21) and hypoxia (HY: [FiO2] 0.13). Physiological (Heart Rate, arterial oxygen saturation (SpO2) and quadriceps Root Mean Square (RMS) electromyographical activity) and perceptual responses (overall peripheral discomfort, difficulty breathing and limb discomfort) were recorded. Results: Power output and normalized quadriceps RMS activity were not different between conditions during any exercise bout (p > 0.05) and remained unchanged across time during the constant-effort cycling. SpO2 was lower, while heart rate and ratings of perceived difficulty breathing were higher under HY, compared to NM, at all time points (p < 0.05). During the constant-effort cycling, heart rate, overall perceived discomfort, difficulty breathing and limb discomfort increased with time (all p < 0.05). All variables (except SpO2) increased along with sense of effort during the brief progressive cycling bouts (all p < 0.05). During the two maximal cycling bouts, ratings of overall peripheral discomfort displayed an interaction between time and condition with ratings higher in the second bout under HY vs. NM conditions. Conclusion: During self-selected, constant-effort and brief progressive, sub-maximal, and maximal cycling bouts, mechanical work is regulated in parallel to the sense of effort, independently from peripheral sensations of discomfort.
Restructuring of the E-Learning Styles Factors for Technology Training

45 Faculty of Education, Faculty of Economy and Business, 12 Abstract: The introduction of e-training and e-learning in Malaysia was a major step towards the democratisation of many aspects of education for diverse learners. Nevertheless, several surveys of blended or hybrid learning approaches showed some gaps in learning-style research involving the teaching and learning of technology. The initial framework of this study involved the construction of a questionnaire to assess the learning styles of technology trainees who had attended a hybrid e-training course. The questionnaire initially consisted of six factors that assessed learning styles in general. The factors were (i) visual, (ii) kinaesthetic (iii) auditory (iv) tactual, (v) individual and (vi) group-learning styles. The questionnaire was administered to 249 ICT trainers from the Faculty of Education, in one public university in Malaysia. After going through the process of principal-component analysis, learning styles for technology training were eventually classified into five factors with slightly different items and factor names, namely (i) visual, (ii) auditory, (iii) kinaesthetic- tactual, (iv) individual and (v) group. This paper shows how this process was carried out and further discusses the findings.
Validity in Educational and Psychological Assessment

Validity and Validation The Genesis of Validity: Mid-1800s-1951 The Fragmentation of Validity: 1952-1974 The (Re)Unification of Validity: 1975-1999 The Deconstruction of Validity: 2000-2012 Twenty-first-century Evaluation
Large-Scale Heterogeneous Program Retrieval through Frequent Pattern Discovery and Feature Correlation Analysis

In the era of big data, information retrieval becomes even more challenging since the size of data volume is emerging fast and it is difficult to find the right information from the huge amount of heterogeneous datasets. Especially in software engineering domain, it tends to be more difficult to retrieve the right program from projects that are written in different languages and not well-developed. Prior work solved this problem by extracting words from programs, which cannot fully exploit the information of source code. In this paper, we propose a novel program retrieval method by extracting the frequent patterns and analyzing their correlations with accompanying text information. The experimental results on large-scale and heterogeneous datasets validate the effectiveness of our proposed approach. The inferred semantics of programs can significantly improve the accuracy of code artifact retrieval.
Viscoelastic characterization of soft tissue from dynamic finite element models

An iterative solution to the inverse problem of elasticity and viscosity is proposed in this paper. A new dynamic finite element model that is consistent with known rheological models has been derived to account for the viscoelastic changes in soft tissue. The model assumes known lumped masses at the nodes, and comprises two vectors of elasticity and viscosity parameters that depend on the material elasticity and viscosity distribution, respectively. Using this deformation model and the observed dynamic data for harmonic excitation, the inverse problem is solved to reconstruct the viscosity and elasticity in the medium by using a Gauss–Newton-based approach. As in other inverse problems, previous knowledge of the parameters on the boundaries of the medium is necessary to assure uniqueness and convergence and to obtain an accurate map of the viscoelastic properties. The sensitivity of the solutions to noise, model and boundary conditions has been studied through numerical simulations. Experimental results are also presented. The viscosity and elasticity of a gelatin-based phantom with inclusion of known properties have been reconstructed and have been shown to be close to the values obtained using standard rheometry.
The Malay Archipelago

RENEWED attention will doubtless be drawn to this book because of the more recent and elaborate work by the same distinguished author, the title of which we give in full below, and which is an attempt to collect and summarize the existing information on the distribution of land animals. and to explain the more remarkable and interesting of the facts, by means of established laws of physical and organic change; in other words, to show the important bearing of researches into the natural history of every part of the world upon the study of its past history. The main idea, which is here worked out in such fulness of detail for the whole earth, was embodied some years since in a paper on the "Zoological Geography of the Malay Archipelago," which appeared in the Journal of Proceedings of the Linnean Society for 1860. ; and again in a paper read before the Royal Geographical Society in 1863. (Preface.) We shall have occasion to refer again to this more recent work, which in its department, and for those specially interested in geology or natural history, must prove an exceedingly valuable addition to our stores of knowledge; Yet, as better suited to the general reader, and because of the special interest attaching to a portion of the globe so little known, and because of some questions not touched upon in the larger and more elaborate work, we turn to this former publication of Mr. Wallace. which, though given to the world some years ago, remains the best authority upon the natural history of those islands, giving at the same time many pleasant pictures of life and travel in scenes so unlike our temperate zone and our civilized habits. Mr. Wallace dedicates his book on the Malay Archipelago
On strategies for budget-based online annotation in human activity recognition

Bootstrapping activity recognition systems in ubiquitous and mobile computing scenarios often comes with the challenge of obtaining reliable ground truth annotations. A promising approach to overcome these difficulties involves obtaining online activity annotations directly from users. However, such direct engagement has its limitations as users typically show only limited tolerance for unwanted interruptions such as prompts for annotations. In this paper we explore the effectiveness of approaches to online, user-based annotation of activity data. Our central assumption is the existence of a fixed, limited budget of annotations a user is willing to provide. We evaluate different strategies on how to spend such a budget most effectively. Using the Opportunity benchmark we simulate online annotation scenarios for a variety of budget configurations and we show that effective online annotation can still be achieved using reduced annotation effort.