Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing Project Uncertainty

Dealing effectively with uncertainty requires today's project manager to be familiar with a broad spectrum of strategies, encompassing both 'hard' and 'soft' methods. This theme of unified thinking (i.e. the need to selectively draw upon a wide range of strategies in any given situation) will differentiate the book from its contemporaries. By picking up where traditional risk management techniques begin to fail, it brings together leading-edge thinking from a variety of disciplines and shows how these techniques can be used to conquer uncertainty in projects. The ability to make good decisions when faced with uncertainty is the real challenge. It is a universal truth that a decision is only as good as the information it is based on. But good information is often hard to come by, and all projects are vulnerable to the unknown and the unknowable. Thus, uncertainty becomes the sworn enemy of the project manager. Wherever we try to analyse, quantify, plan and act, uncertainty lies in wait to surprise us with its ambiguity and unpredictability. It lurks in every stage of the project lifecycle: in the planning (how long will this really take? ), the initiation (this isn't the situation I expected! ), the execution (who could have foreseen that happening? ), and even the completion of a project (where are the expected benefits? ). But managing uncertainty is a lot more than just applying risk management techniques. It requires a deep appreciation of how uncertainty arises and, by recognising its different guises, the appropriate strategies can be formulated. If we can learn how to reduce uncertainty, we can make better management decisions and increase the chances of the project succeeding. This book addresses five key questions: Why is there uncertainty in projects? How do you spot the symptoms of uncertainty, preferably at an early stage? What can be done to avoid uncertainty? What strategies can be used to deal with project uncertainty? How can both the individual and the organisation learn to cope more effectively in the future? The reader is assumed to be a either a project management professional, or a senior manager looking for ways to improve project management strategy within their organisation. As such, a foundation in project management basics is assumed, although not essential. The book then builds on this by exposing new ideas and concepts, and shows how these can be harnessed to tackle uncertainty in its many guises. Series Editor: Professor Darren Dalcher.
CLUST: Grouping Aware Data Placement for Improving the Performance of Large-Scale Data Management System

Currently most applications are data-intensive in nature and require the ability to process large data sets across a cluster of nodes. The Hadoop-an open-source implementation of MapReduce (MR) architecture has become the de facto processing platform for these applications. Even though Hadoop is considered as an ideal solution to analyse and gain insights from massive data, it has its own limitations when the data to be processed exhibits interest-locality (i.e. the data required for any query execution follows grouping behaviour wherein only a part of big data is accessed frequently). Since Hadoop data placement does not consider interest-locality, the dependent blocks required for execution may be concentrated within fewer computing nodes, resulting in severe degradation in MR performance. Hence in this paper, CLUST- Optimal data placement strategy based on grouping semantics is proposed, so that the query can be solved earlier. This paper harnesses the Hierarchical agglomerative clustering techniques in data placement for achieving improved MR performance during execution of interest-based queries. It has been validated by executing complex interest-based queries on NCDC weather dataset, distributed in two scalable heterogeneous Hadoop clusters deployed on the cloud. The CLUST significantly reduces execution time, improves data locality, CPU utilisation and proves to be an efficient solution for big data processing.
Analysis Based on of Android Malicious Code Intrusion Detection

Due to the android platform is open source, more and more developers and manufacturers to use it. At the same time its security attracts more and more challenges, it is vulnerable to mobile phone virus attacks. In order to solve these problems, we should detect the files in the phone. Because the Boyer-Moore algorithms efficiency is higher than others, so we use it in android application intrusion detection. First we should set up a virus signature library, and store these signatures in the SQLite Database. Then scanning system of documents carries on the analysis and extraction corresponding feature codes, and use the BM algorithm to match them with virus signature, and we can find the viruses. What is new and original in this paper is that the efficiency of intrusion detection is higher.
Study on the electrical and optical characteristics of a silicon electro-optic waveguide modulator using MOS configuration

Active (or tunable) waveguide devices are essential elements to control light for information processing (e.g., coding-decoding, routing, multiplexing, timing, logic operations, etc.) in high-density integrated-optic circuits. In these devices, the complex effective refractive index of the structure is varied in order to produce a phase or intensity modulation. In this paper we study a micron-size metal-oxide-semiconductor (MOS)-based high index-contrast SOI waveguide for highspeed electro-optic modulation on strong light confinement. The light confinement enhances the effect of small index changes on the transmission of the device, enabling an ultracompact structure with high modulation depth. We study the electrical and optical characteristics of this type of silicon electro-optic waveguide modulator using a MOS configuration, and calculate the device's performance for electro-optic modulation with high frequency under different modes of operation of the MOS diode and gate oxide thickness. The studied core Si electro-optic modulation device with high frequency will bring big improvement in the field of optic communication and optic calculation.
The Social Risk Factors for Internet Addiction in College Undergraduate Students

Objective: The current study aims to explore precipitating and risk factors for internet addiction (IA) in university undergraduate students, and to provide evidence for interventions and the early prevention of IA in this population.Method: Four thousand eight hundred and fifty-eight college sophomores completed an online survey on their internet use-related behaviours and social risk factors.Result: Compared to female students (5.4%), more male students (8.3%) were in the moderate and severe IA groups. Male and female students tend to engage in different types of online entertainment. There are some shared and some different precipitating factors for internet use and risk factors for IA between the different gender groups.Conclusion: By understanding the differences and similarities in risk factors for IA in both gender groups of the university undergraduate students, interventions can be more precisely designed to target specific behaviours in this populations.
Effects of Transcranial Direct Current Stimulation (tDCS) and Cognitive Training on food cravings in people taking antipsychotic medication

Background Antipsychotic drug induced weight gain puts individuals with schizophrenia at increased cardiometabolic risk. As a potential intervention for this problem we describe the theoretical background and a protocol for a feasibility randomised controlled trial (RCT) of approach bias modification training (ABM) combined with real versus sham (placebo) transcranial direct current stimulation (tDCS). The aim of this trial is to obtain information that will guide decision making and protocol development in relation to a future large-scale RCT of ABM and tDCS in this group of patients and, secondly, to assess the preliminary efficacy [ABM + tDCS] treatment. Methods Thirty adults with a DSM-V diagnosis of schizophrenia or schizoaffective disorder treated with anti-psychotic medication will be randomly allocated to receive 5 sessions that will combine ABM and real or sham tDCS, in a parallel group design. In this feasibility study a broad range of outcome variables will be examined and no primary outcomes have been defined. Measures will include food craving, psychopathology (e.g. symptoms of schizophrenia and depression), neuropsychological processes (such as attentional bias, and impulsiveness) and the tolerability and acceptability of tDCS. The feasibility of conducting a large-scale RCT of [ABM + tDCS] and appropriateness of tDCS as a treatment for antipsychotic drug induced weight gain will be evaluated by assessment of recruitment and retention rates, acceptability of random allocation, blinding success (allocation concealment), completion of treatment sessions and research assessments (baseline, post-treatment and follow-up). Discussion The effect sizes generated and other findings from this trial will inform a future large-scale RCT with respect to decisions on primary outcome measures and other aspects of protocol development. In addition, results from this study will provide a preliminary indication of the efficacy of [ABM + tDCS] treatment for antipsychotic drug induced weight gain.
The EyeTap Principle: Effectively Locating the Camera Inside the Eye as an Alternative to Wearable Camera Systems

This chapter provides the fundamental basis for noninvasively tapping into the mind's eye. The EyeTap principle pertains to replacing, in whole or in part, each ray of light that would otherwise pass through the lens of at least one eye of the wearer, with a synthetic ray of light responsive to the output of a processor. Fundamental concepts covered in this chapter include the EyeTap principle; analysis glass, synthesis glass, and the collinearity criterion; effective location of the camera in at least one eye of the wearer; practical embodiments of the EyeTap principle; the laser EyeTap camera; tapping the mind's eye with a computer-controlled laser (replacing each ray of light that would otherwise enter the eye with laser light); the author's fully functional laser EyeTap eyeglasses; infinite depth of focus EyeTap products and devices; and practical solutions for the visually challenged.
Adaptive and artificial intelligence based PSS

The supplementary stabilizing signal input to the excitation system of a synchronous generator enhances system damping by producing a torque in phase with the speed of the generator. The most common PSS (CPSS) is based on the use of a linear transfer function designed by applying the linear control theory to the system model linearized at a pre-assigned operating point. Power systems are non-linear and operate over a wide range. Due to the non-linear characteristics, wide operating conditions and unpredictability of perturbations in a power system, the CPSS, a linear controller, generally cannot maintain the same quality of performance under all conditions of operation. To further improve the performance and stability of the power system, various other approaches using the linear quadratic optimal control, H-infinity, variable structure, rule base, and artificial intelligence (AI) techniques have been proposed in the literature to design a fixed parameter PSS. One common feature of all fixed parameter controllers is that the design is done off-line.
A wideband cascaded sigma-delta modulator with improved nonlinearity effects

This work presents a wideband cascaded sigma-delta modulator (CLFSDM) that reduces the nonlinearity effects of components. This architecture offers a new noise-shaping function to achieve high resolution in wideband applications and reduce digital-analogue converter (DAC) mismatch from the multi-bit feedback. Moreover, the error cancellation schemes can be added in the digital circuit part to cancel the coarse quantization errors and thus effectively reduce the non-ideal effects such as DAC mismatch. The mismatches between the two stages, such as in the gain error and pole error, may seriously degrade performance. The blind on-line calibration technique is used to eliminate these imperfect analogue circuit errors in the digital circuit. Accordingly, this architecture can reduce the over sampling ratio (OSR), and the in-band noise can be significantly suppressed to achieve a high resolution in Matlab and Switcap2 simulations. Simulation results indicate this sigma-delta modulator is very efficient in wide bandwidth applications.
Evaluating the Impact of IT Outsourcing in an Organization

Date: 16th June 2009 Authors: ODUOSE GODSPOWER ONORIODE (810822-T139) NJINKO POLYCARP NGANSI (791005-5735) Title: Evaluating the impact of IT Outsourcing in an Organization. Introduction: The conti .
Negative permittivity meta-material microstrip binomial low-pass filter with sharper cut-off and reduced size

A binomial low-pass filter provides the flattest pass-band response but slow attenuation transition. A design for improving the roll-off performance based on the negative-epsiv property of complementary split-ring resonators is presented, whilst maintaining the filter pass-band performance. By properly designing and integrating the complementary split-ring resonators with the low-pass filter, not only can the roll-off of the filter be significantly improved, but also the filter size further reduced. The measured results indicate that the proposed structure achieves a flat pass-band with no ripples as well as has a selectivity of 32 dB/GHz. This significantly exceeds the 17 dB/GHz selectivity of the conventional design. Furthermore, the proposed filter has a size smaller by 16%.
Polarisation-insensitive widely tunable wavelength converter using a single semiconductor optical amplifier

A polarisation-insensitive wavelength converter using four-wave mixing (FWM) in a semiconductor optical amplifier (SOA) has been realised. The converter uses a novel polarisation-diversity scheme which requires only one SOA. Polarisation-insensitive wavelength conversion (< 1 dB polarisation sensitivity) and a near constant (< 3 dB variation) conversion efficiency was achieved over a range of 26 nm.
Doubly fed induction generator systems for wind turbines

This article shows that adjustable speed generators for wind turbines are necessary when output power becomes higher than 1 MW. The doubly fed induction generator (DFIG) system presented in this article offers many advantages to reduce cost and has the potential to be built economically at power levels above 1.5 MW, e.g., for off-shore applications. A dynamic model of the DFIG was derived to develop a vector controller to decouple dynamically active and reactive power control. Simulations show excellent response of the DFIG independent of speed. Measurements obtained from 1.5 MW units currently in operation confirm the theoretical results.
Motivating Knowledge Sharing in Engineering and Construction Organizations: Power of Social Motivations

AbstractKnowledge management initiatives have proliferated in recent years because of the desire to have employees share their knowledge throughout the organization. However, in practice, many of these initiatives fail to achieve their initial goals. Because knowledge fundamentally resides with people, knowledge management research and initiatives must move from a focus on macrolevel variables at the organizational level to include an understanding of microlevel variables at the individual level of why employees engage in these knowledge management initiatives. This research aims to understand participation in organizational knowledge sharing by identifying and exploring the reasons why employees share their knowledge. This is done through qualitative case studies with 48 employees in 13 multinational engineering, construction, and real estate development firms. Using an embedded unit of analysis of knowledge sharing motivations of employees, a qualitative analysis revealed four primary factors related to.
Nonlinear modelling of dynamic self-heating in 28 nm bulk complementary metal–oxide semiconductor technology

A new and simple approach for nonlinear modelling of the dynamic self-heating effect in bulk complementary metal–oxide semiconductor (CMOS) field effect transistors is presented. Low-frequency S-parameter measurements are performed in 28 nm bulk CMOS technology at room temperature between a 10 kHz and 3 GHz frequency range and the thermal impedance (Z TH) of the devices is extracted. The proposed model is validated through the measurements for different bias points. The results obtained demonstrate a reasonable agreement between theoretical prediction and experimental data.
Vibration control of beams using multiobjective state-feedback control

An active vibration suppression system is designed using a multiobjective state-feedback controller. The governing equation of motion for a piezo/beam system is derived using Hamilton’s principle. The control gains of the resulting system are selected using the theory of robust controls. In this regard, a robust controller is designed using a feedback control law that satisfies additional constraints on the closed-loop pole location in the face of model uncertainties, which are derived for a general class of convex regions of the complex plane. These constraints are expressed in terms of the linear matrix inequalities approach for multiobjective synthesis. The validity and applicability of this approach for vibration suppression for the piezo/beam system by damping out the multiple vibrational modes of the piezo/beam system are discussed.
Design of a compact wideband circularly polarized microstrip antenna

A compact wideband feed network comprising a dual‐band Wilkinson power divider and a broadband 90° phase shifter is presented. Taking advantage of the coupled‐line section, the feed network achieves both compact circuit configuration and wideband performance. A compact wideband circularly polarized (CP) antenna using the wideband feed network achieves measured impedance bandwidth (|S11| ≤ –10 dB) of 65%, 3‐dB axial ratio bandwidth of 63%, and peak gain of 8.8 dBi. Above all, the proposed CP antenna features most compact size with the demensions of 0.64 λ0 × 0.64 λ0 × 0.054 λ0 and achieves the trade‐offs between the performance and the demension. © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:2531–2536, 2013
Lifecycle energy consumption prediction of residential buildings by incorporating longitudinal uncertainties

AbstractAccurate prediction of buildings’ lifecycle energy consumption is a critical part in lifecycle assessment of residential buildings. Longitudinal variations in building conditions, weather conditions and building's service life can cause significant deviation of the prediction from the real lifecycle energy consumption. The objective is to improve the accuracy of lifecycle energy consumption prediction by properly modelling the longitudinal variations in residential energy consumption model using Markov chain based stochastic approach. A stochastic Markov model considering longitudinal uncertainties in building condition, degree days, and service life is developed: 1) Building's service life is estimated through Markov deterioration curve derived from actual building condition data; 2) Neural Network is used to project periodic energy consumption distribution for each joint energy state of building condition and temperature state; 3) Lifecycle energy consumption is aggregated based on Markov proces.
Integrated headgear for the Future Force Warrior and beyond (Invited Paper)

The ground soldier of the future will benefit from current developments in electronics, lightweight ballistic materials, and importantly, displays and sensors. The Army's Future Force Warrior program is taking advantage of initiatives in both government and industry labs as well as human factors information to demonstrate the advantages they can provide. This paper will discuss the Integrated Headgear System, a synthesis of protection and information for the infantry soldier.
Causes of deforestation in the Brazilian Amazon.

xi Acknowledgments xiii Acronyms and Abbreviations xv Executive Summary xvii 1. Motivation for the Study 1 2. Deforestation and Land Use in Amazonia: Evidence of Large Scale Cattle Ranching 5 Temporal Trend of Deforestation 5 Spatial Patterns at the Municipal Level 6 Evolution of Land Use in Legal Amazonia 9 Contribution of Large and Small Deforested Areas to Overall Deforestation 10 Evolution of the Cattle Herd 13 Socioeconomic Benefits from Deforestation: Early Evidence 14 3. Different Frontiers and Their Economic and Social Dynamics: Determinants of Amazon Occupation 17 Expansion of the “Speculative Frontier” and the Deforestation Process 20 Determinants of Land Occupation in Amazonia: An Econometric Model 25 4. The Microeconomics of Beef Cattle Ranching in Amazonia 29 The Beef Cattle Economy in Amazonia: Brief Background 30 Field Research 32 Technical Parameters Adopted 33 Production Costs: Pastures 36 Net Income per Hectare 37 Analysis of Yield 37 Mathematical Modeling 39 Some Simulations 41 Final Considerations and Trends 43 5. Social Costs and Benefits of Deforestation 47 Government Incentives: Subsidies as a Basis for Cattle Ranching and Deforestation? 48 Estimate of Economic (Social) Costs of Deforestation in Amazonia 51 Sustainable Alternatives: Comparing Costs and Benefits 55 6. Conclusions and Recommendations 59 Main Results: Conclusions 59 Recommendations 62 Annex: Socioeconomic Development in Brazilian Amazonia 67
Analysis of integrated boost-flyback step-up converter

The operating principles, theoretical analysis, and design methodology of a high-efficiency step-up converter are presented. The integrated boost-flyback converter (IBFC) uses coupled-inductor techniques to achieve high step-up voltage with low duty ratio, and thus the slope compensation circuit is disregarded. The voltage gain and efficiency at steady state are derived using the principles of inductor volt-second balance, capacitor charge balance and the small-ripple approximation for continuous-conduction mode. Finally, a 35 W, 12 V DC input, 48 V DC output, f/sub sw/= 40 kHz IBFC has been implemented in the laboratory to validate the theoretical analysis. A design procedure is expounded, and design guidelines for selecting critical components are also presented. It is shown that high voltage gain with high efficiency can be achieved by the IBFC system.
Vehicle Average Useful Life Study for Truck, Cargo: 2 1/2 Ton, 6x6, M35A2.

Abstract : An assessment of the useful life of Truck, Cargo: 2 1/2 Ton, 6x6, M35A2 was made. Factors which were included in the study were cost of vehicle operation as a function of accumulated mileage and performance of the vehicle (reliability, availability and maintainability characteristics) as a function of accumulated mileage. It is shown that by an analysis of the cost and performance characteristics, the life of the vehicle can be extended resulting in substantial cost savings, and a greater insight in the decision process can be effected. (Author)
A new integrated match for CPW‐FED slot antennas

A new, compact way to match slot antennas to a coplanar waveguide (CPW) feed is presented. In addition to its advantages of flexibility, reduced size, and increased bandwidth, a good analytical approximation of the matched antenna behavior is possible. An equivalent circuit and procedures for its design are presented. A set of T‐matched antennas has been built and measured at the S‐band. © 2004 Wiley Periodicals, Inc. Microwave Opt Technol Lett 42: 444–448, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20331