Miracle-dz/UniFAR-FTUs huggingface dataset:
Economic analysis on development of low-carbon gear for anchovy boat seine

The main purpose of this study is to analyse economic feasibility of low-carbon-oriented gear for anchovy boat seine. The results of benefit/cost analysis showed that use of the low-carbon fishing gear is economically feasible. Considering the fuel saving and relatively low emission by reducing the resistance of gear, net present value by such type 1 gear improvement was estimated about -2,490 ~ -1,580 million won with the benefit-cost ratio 0.81~ 0.88. And net present value by such type 2 gear improvement was estimated about 6,540 ~ 7,780 million won with the benefit-cost ratio 1.79 ~ 1.94. Development of lowcarbon trawl gear would render significant contributions to reducing emission in fishing operations and lead to reduce fishing costs due to fuel savings.
Learning bounded optimal behavior using Markov decision processes

Creating agents that behave rationally in the real-world is one goal of Artificial Intelligence. A rational agent is one that takes, at each point in time, the optimal action such that its expected utility is maximized. However, to determine the optimal action the agent may need to engage in lengthy deliberations or computations. The effect of computation is generally not explicitly considered when performing deliberations. In reality, spending too much time in deliberation may yield high quality plans that do not satisfy the natural timing constraints of a problem, making them effectively useless. Enforcing shortened deliberation times may yield timely plans, but these may be of diminished utility. These two cases suggest the possibility of optimizing an agent's deliberation process. This thesis proposes a framework for generating metalevel controllers that select computational actions to perform by optimally trading off their benefit against their costs. The metalevel optimization problem is posed within a Markov Decision Process framework and is solved off-line to determine a policy for carrying out computations. Once the optimal policy is determined, it serves efficiently as an online metalevel controller that selects computational actions conditioned upon the current state of computation. Solving for the exact policy of the metalevel optimization problem becomes computationally intractable with problem size. A learning approach that takes advantage of the problem structure is proposed to generate approximate policies that are shown to perform relatively well in comparison to optimal policies. Metalevel policies are generated for two types of problem scenarios, distinguished by the representation of the cost of computation. In the first case, the cost of computation is explicitly defined as part of the problem description. In the second case, it is implicit in the timing constraints of problem. Results are presented to validate the beneficial effects of metalevel planning over traditional methods when the cost of computation has a significant effect on the utility of a plan. Thesis Supervisor: Nicholas Roy, Ph.D Title: Assistant Professor of Aeronautics and Astronautics Thesis Supervisor: Milton B. Adams, Ph.D Title: Director of Strategic Technology Planning, Draper Laboratory
A Type of Wireless Sensor Network Platform

The wireless sensor network (WSN) is the development trend of the technology of sensor. This paper, based on the nRF905 wireless module, introduces a wireless temperature gathering and transmitting system. From RF modules and master control module, the hardware platform has been designed, beyond that, the paper introduces the temperature sensor network software design. The test show that the system is stable, and data are reliable.
A General Definition for Impedance

Electrical impedance is usually defined in terms of alternating-current steady-state values of current and voltage. When network problems are approached using the Laplace transformation, impedance takes on a different character, as now both transient and steady-state currents and voltages are considered. It is therefore useful to develop a general expression for impedance in the form of a time domain operator. This operator is a rational function in powers of the differential operator D=d/dt. One can then show that the phasor and Laplace transform expressions for impedance are compatible.
Subsynchronous resonance of deep-bar induction motors

This paper presents the results of an investigation into the subsynchronous resonance (SSR) instability of deep-bar induction motors when supplied through series capacitor compensated feeders. As in a companion study published by the same authors on single-cage induction motors, useful physical insight into SSR instability is obtained from a simple equivalent circuit analysis and the discrete Fourier transforms (DFTs) of some of the transient waveforms. The main contribution of this paper is to show that, provided the stator resistance is below some minimum value, an unstable region will exist between an upper and lower resonant speed, as in the case of a single-cage motor.
Invariant Properties of Automotive Suspensions

Dynamic systems which are composed of interconnected sub-systems are subject to dynamic ‘constraint equations’ which are independent of the nature of the interconnections. A dynamic constraint equation is developed for a quarter car model of an automotive suspension. It is shown that only one of the three transfer functions (acceleration, suspension deflection and tyre deflection) can be independently specified and that the first two contain ‘invariant points’ at frequencies within the frequency range of interest. These constraint equations lead to conclusions with respect to trade-offs between the three transfer functions. Improvements in all three can be obtained near the unsprung natural frequency; however, severe trade-offs are shown to exist at all other frequencies.
High performance millimeter-wave microstrip circulator for deep space communications

High-performance microstrip circulators in the Ka-band that utilizes new ferrite substrates and temperature stable magnets have been developed. A special resonator configuration was analyzed, modeled, and optimized. The circulators have isolation and return loss of greater than 17 dB, and an insertion loss of less than 0.6 dB. Test results indicated almost no performance variations over the temperature range of -30 to +60 degrees C. <<ETX>>
Continuous Improvement Planning: Case Study of Basic Process Reengineering

Public agencies engaged in the planning, design, and construction of utility infrastructure systems have developed basic administrative processes, policies, and procedures for engineering services such as production of design contract documents and handling of construction management documents. The purpose of these procedures is to minimize costs and optimize quality of the design drawings and the finished, constructed product through conformity to a system that is known to “work well. ” Despite the fact that these procedures and policies have served many agencies well over the years, the world of public works engineering and construction has become one of ever-increasing public scrutiny, necessitating improved engineering/project quality without an increase in project cost. Professional service providers have found ways to do this through a process known as “continuous improvement. ” This process provides a means by which a professional service provider can effectively generate new ways to do things faster.
On-chip ultra-fast data acquisition system for optical scanning acoustic microscopy using 0.35um CMOS technology

Optical Scanning Acoustic Microscopy (OSAM) is a non-contacting method of investigating the properties and hidden faults of solid materials. This thesis presents an ultra-fast data acquisition system (DAQ) which samples and digitises the output signal of OSAM. The author's work includes the design of the clock source and the sampler, and integration of the whole system. The clock source is a unique pulse generator based on a 2.624GHz PLL with a Quadrature VCO (QVCO), which is able to generate 4 clock signals in accurate quadrature phase difference. The pulse generator used the 4-phase clocks to provide control pulses to the sampler. The pulses were carefully aligned to the clock edges by digital logic, so that jitters were reduced as much as possible. The required short time delay for the sampler was also provided by the pulse generator, and this was implemented by a smartly-controlled switch box which re-shuffles the 4-phase clocks. The presented sampler is a novel 10.496GSample/s Sub-Sampling Sample-and-Hold Amplifier (SHA). The SHA sampled the input, and transformed its spectrum down to a low-frequency range so that it can be digitised. Charge-domain sampling strategy and double differential switches were both developed in this circuit to significantly improve the sampling speed. The periodicity of the system input was exploited in repetitive sampling to reduce the noise. These designed modules were integrated into a DAQ for a 2x8 sensor array. A pseudo-parallel scanning strategy was presented to minimise the power consumption, and a current-based buffer was applied to deliver the control pulses into the array. The DAQ was implemented on-chip in a low-cost 0.35um standard CMOS process. The measurement results showed that the DAQ successfully achieved a sampling rate more than 10GS/s, with a maximum output resolution of approximately 6 bits.
A PHILOSOPHICAL APPROACH TO ARTIFICIAL INTELLIGENCE AND ISLAMIC VALUES

Artificial Intelligence has the potential to empower humans through enhanced learning and performance. But if this potential is to be realized and accepted, the ethical aspects as well as the technical must be addressed. Many engineers claim that AI will be smarter than human brains, including scientific creativity, general wisdom and social skills, so we must consider it an important factor for making decisions in our social life and especially in our Islamic societies. The most important challenges will be the quality of representing the Islamic values like piety, obedience, Halal and Haram, and etc in the form of semantics. In this paper, I want to emphasize on the role of Divine Islamic values in the application of AI and discuss it according to philosophy of AI and Islamic perspective.Keywords- Value, expert, Community Development, Artificial Intelligence, Superintelligence, Friendly Artificial Intelligence
Vector flow estimator isomorphism and wall filter requirements

Ultrasound vector flow estimation ben be complicated by the spatial anisotropy of the ultrasound pulse, a limitation most commonly characterized in terms of the different spatial resolutions achieved along the three axes of a typical imaging system. For vector Doppler or spatial quadrature flow estimation techniques, this anisotropy limits, relative to the axial modulation, the maximum achievable frequency of the modulation associated with lateral motion. This anisotropy has one advantage in establishing higher aliasing thresholds in the non-axial dimensions than are typically encountered axially. However, it is likely that one of the obstacles to practical implementation of vector velocity estimation will be the attenuation of non-axial modulation components by conventional wall and clutter filters. As part of our investigation of this topic, we describe a commonality among several vector flow estimators: the vector Dopple described by Overbeck, et. al, the estimator described by Jensen and Munk, and the heterodyning spatial quadrature estimator we have previously described. When implemented with the same transducer array, these estimators produce very similar spatial impulse responses despite the use of radically different complex apodization schemes. In two cases this common response is not formed during beamforming but rather after post-processing has been applied. We describe this isomorphism and discuss the differences among the estimators that we expect to become evident under realistic imaging conditions. We present an analysis of the multi-dimensional spatial frequency responses of these vector velocity estimators in comparison with typical wall filter responses. The axial/lateral anisotropy for all three estimators was found to be on the order of 10 in a pulse-echo regime. This implies that detection of lateral flow at a rate of, for example, 10 m/s would require a wall filter setting providing an axial cut-off velocity of less than 1 m/s. The practical implications of these findings and alternative approaches are discussed.
RF power amplifiers, classes A through S-how they operate, and when to use each

With at least ten lettered classes of RF power amplifiers, and several combinations of those classes, it is not surprising that many RF engineers are confused about power amplifiers. The complexity of the subject is compounded by the fact that the RF power transistor acts either as a high-resistance current source or as a low-resistance switch, or -in some amplifiers-as a high-resistance current source during part of the "on" interval and as a low-resistance switch during another part of the "on" interval ("mixed-mode" operation. Inspection ofthe circuit topology is not sufficient to define unambiguously the transistor operating mode or the amplifier class of operation. Examples are given of the same circuit topology operating as a Class B, C, or E amplifier, depending on how the transistor is biased and driven, and on the specific L-R-C values in the load network. Modes of operation and applications of each type of amplifier are discussed.
Using Industry to Drive Continuous Improvement in Capstone Design

Iowa State University’s Industrial and Manufacturing Systems Engineering (IMSE) Department has been teaching and practicing continuous improvement for many years. Since 2003, a formal process for curriculum assessment related to ABET outcome items [a-k] and departmental outcome items [l-p] has been in place. This process has provided structure for obtaining, documenting, and using feedback from stakeholders, including students, alumni, faculty, and industry. Quantitative feedback is received through stakeholder surveys and outcome item assessment. Qualitative feedback is received from capstone design industry partners, alumni working in industry, and the IMSE Industrial Advisory Board. The IMSE capstone design course (IE441) has served as a principle linkage within the department for this process, and this paper describes how Industry and outcome item assessment are used to improve the capstone curriculum. Quantitative data are provided that indicate positive improvements resulting from interactions with Industry. Examples of qualitative feedback are also included. Outcome items [g] (An ability to communicate effectively) and [h] (The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context) are specifically addressed for the period of 2003-2011, with positive results seen in both areas.
Determining the Probability of Project Cost Overruns

AbstractThe statistical characteristics of cost overruns experienced from contract award in 276 Australian construction and engineering projects were analyzed. The skewness and kurtosis values of the cost overruns are computed to determine if the empirical distribution of the data follows a normal distribution. The Kolmogorov-Smirnov, Anderson-Darling, and chi-squared nonparametric tests are used to determine the goodness of fit of the selected probability distributions. A three-parameter Frechet probability function is found to describe the behavior of cost overruns and provide the best overall distribution fit. The Frechet distribution is then used to calculate the probability of a cost overrun being experienced. The statistical characteristics of contract size and cost overruns were also analyzed. The Cauchy (<A$1 million), Wakeby (A$1 to 10 million, <A$101 million) and four-parameter Burr (A$11 to 50 million) tests were found to provide the best distribution fits and used to calculate cost overrun p.
Low noise and wide bandwidth of NbN hot-electron bolometer mixers

We report a record double sideband noise temperature of 600 K (5hν/kB) offered by a NbN hot-electron bolometer receiver at 2.5 THz. Allowing for standing wave effects, this value was found to be constant in the intermediate frequency range 1–7 GHz, which indicates that the mixer has an unprecedentedly large noise bandwidth in excess of 7 GHz. The insight into this is provided by gain bandwidth measurements performed at the superconducting transition. They show that the dependence of the bandwidth on the mixer length follows the model for an HEB mixer with diffusion and phonon cooling of the hot electrons.
Extended Kalman Filter taking account of extra delays and intermittent data in Network Controlled Systems

Abstract Network Controlled Systems are becoming very popular today. However, the use of a network in the control loop induces extra difficulties. Among these difficulties, packet losses and extra delays must be carefully considered. This paper deals with both of these problems. The first one is tackled through an Extended Kalman Filter that is insensitive to data losses. The technique proposed is derived from the Kalman Filter previously proposed by Sinopoli et al. The second difficulty is considered through another Extended Kalman Filter, the state of which is augmented with the delay. The techniques proposed are exemplified on the UAV quadrotor benchmark developed at the GIPSA-Lab.
Incipient fault detection of gearbox bearings through combined vibration analysis

Abstract Although quite a few vibration analysis methods for bearing fault diagnosis have been reported successful, new problems still arise in practical applications of these methods in some special situations. The specific difficulty encountered in this research project on bearing fault detection is the plunger pumps attached to and driven by the gearbox generate very strong impulsive vibrations that make impact-recognition-based signal analysis approaches ineffective. A hybrid method was proposed that combines spectrum analysis, digital filtering, and crest factor analysis. The proposed method was proved effective in its application to more than fifty gearboxes.
Walking over complex terrain: a systematic review

Healthy humans navigate their local day-to-day environments with a characteristic striding walking gait, where the shod or unshod foot acts as the only immediate interface with the substrate. Gait labs and clinical walking tests have become widely established, and with it, our understanding of ‘normal’ walking within constrained level walking conditions. However, the reality of everyday walking environments is far more complex, with surfaces varying in respect to compliance, levelness, regularity and slope even within the built environment of towns and cities (Allet et al., 2008). Despite the vast complexity of terrain humans must negotiate, most healthy individuals appear to do so with little difficulty. Changing terrain and obstacles are known stability and trip risks for clinical and/or elderly populations however, with 30% of over 65’s experiencing at least one fall a year (Todd & Skelton, 2004). In order to implement appropriate interventions, it is important to first understand the biomechanics of healthy adaptations to such risk factors.
A High-Voltage Pulse Transformer for Explosive Pulsed-Power Devices

It is often necessary to use a high-voltage pulse transformer for impedance matching an explosive generator to a higher impedance load. Also, a particular application may require high-voltage rather than the high current which flux compressor generators (FCGs) normally deliver when driving suitable low impedance loads. We have designed and built transformers for use with FCGs. They are air-core transformers with measured coupling coefficients in the range of 0.88 to 0.94. The turns ratio for these transformers vary from 10 to 40. We have used these transformers in FCG shots and have measured 250 kV and 250 kA on the secondary, simultaneously and without breakdown. So far the FCG and not the transformer have limited the voltage. Experiments to determine a voltage limit are ongoing. Our design and results are presented.
Guaranteed avoidance of unpredictable, dynamically constrained obstacles using velocity obstacle sets

Abstract : Dynamic obstacle avoidance is an important, ubiquitous, and often challenging problem for autonomous mobile robots. This thesis presents a new method to guarantee collision avoidance with respect to moving obstacles that have constrained dynamics but move unpredictably. Velocity Obstacles have been widely used to plan trajectories that avoid collisions with obstacles under the assumption that the path of the objects are either known or can be accurately predicted ahead of time. However, for real systems, this predicted path will typically only be accurate over short time-horizons. To achieve safety over longer time periods, the method introduced here instead considers the set of all reachable points by an obstacle assuming that the dynamics the unicycle model, which has known constant forward speed and a maximum turn rate (sometimes called the Dubins car model).
A genetic algorithm for the multi-stage and parallel-machine scheduling problem with job splitting – A case study for the solar cell industry

This paper studies a multi-stage and parallel-machine scheduling problem with job splitting which is similar to the traditional hybrid flow shop scheduling (HFS) in the solar cell industry. The HFS has one common hypothesis, one job on one machine, among the research. Under the hypothesis, one order cannot be executed by numerous machines simultaneously. Therefore, multiprocessor task scheduling has been advocated by scholars. The machine allocation of each order should be scheduled in advance and then the optimal multiprocessor task scheduling in each stage is determined. However, machine allocation and production sequence decisions are highly interactive. As a result, this study, motivated from the solar cell industry, is going to explore these issues. The multi-stage and parallel-machine scheduling problem with job splitting simultaneously determines the optimal production sequence, multiprocessor task scheduling and machine configurations through dynamically splitting a job into several sublots to be processed on multiple machines. We formulate this problem as a mixed integer linear programming model considering practical characteristics and constraints. A hybrid-coded genetic algorithm is developed to find a near-optimal solution. A preliminary computational study indicates that the developed algorithm not only provides good quality solutions but outperforms the classic branch and bound method and the current heuristic in practice.
Mathematical Description of the Construction Principles of Electromagnetic Mechatronic Modules of Intelligent Robots

The article is devoted to the mathematical description of the principles of construction of electromagnetic mechatronic modules for the linear motion of intelligent robots. Structural schemes and mathematical descriptions of the traction characteristics of various electromagnetic mechatronic modules of linear motion, oriented for use in the manipulation systems of intelligent robots, are considered. The features of many mechatronic modules are determined. A structural diagram of the developed single-axis electromagnetic mechatronic module, the principle of its operation and distinctive features are given.