Miracle-dz/UniFAR-FTUs huggingface dataset:
Incorporating Human Behavioral patterns in Big Data Text Analytics

One of the modern day emerging technologies include Big Data Analysis. Big Data refers to the huge terabytes of data being collected on internet web sites such as Facebook, Twitter etc, Machine data such as sensors and normal data warehouses and enterprises data. There are many more such kinds of data which is growing enormously at very rapid rate. These data contains very valuable information as well as information of very little use called noise. There have been many emerging technologies which are being used for analysis of this vast data and take advantage of it. These technologies are used to extract very valuable information from these huge amounts of data and help in decision making, forecasting, analysis and for many other such applications. The concern of this paper is having accurate analysis with respect to socio-economic conditions by considering factors such as human behavioral patterns including factors such as economic conditions in particular region of interest, social conditions and also particular time of the year which includes festivals or incidents that triggers social and economic scenarios .
Multichip module technologies for high-speed ATM switching systems

High-performance, compact multichip modules (MCMs) using a copper polyimide multi-layer substrate are used to make a 40-Gb/s-throughput ATM switching module. The MCM substrate has 392 high-speed signal I/0 channels, thin-film termination resistors, and 50 /spl mu/m laminated capacitance layers. We made a sub switching element module using these MCMs, new high-speed FPC cables, and heat pipes fins. This sub-switching element module can operate at 80 Gb/s throughput.
4H-SiC BJT Characterization at High Current High Voltage

A model that can perfectly describe the experiment results was developed. Based on the model, detailed analysis showed that the defect at the Base-Emitter epi-interface is the key factor that limits today's SiC BJT gain. The effect of emitter size also can be studied for SiC BJT. 1200V SiC BJT under study can operate at bus voltage as high as 700V. Until now, no such characterization has been made. In this paper, static and switching characteristics of 1200V SiC BJT at high current and high voltage are reported for the first time. The common emitter output characteristics with current up to 28A (1244A/cm 2 ) and the dynamic characteristics at a bus voltage of 700V and high load current were obtained. Turn off loss and turn off time as the function of turn off current was recorded, which showed that the turn off loss of SiC BJT is much smaller than Si IGBT. Experiments showed an extremely large RBSOA of SiC BJT. With zero voltage base drive, the SiC BJT can successfully turn off 2.7 MW/cm 2 power density. No second breakdown was observed which is the most unattractive aspect of Si BJT. All these experiments prove that, unlike Si BJT, SiC BJT is a good competitor to Si IGBT.
Effects of Capital Flows on Carry Trade Activities: The Case of Turkey

Carry trade is described as the capital flow coming into a country based on interest rate differential. A negative change in capital flow affects carry trade activities negatively, which in turn distorts particually the exchange rate and the financial stability of a country. In order to examine the effects of capital flows on carry trade in Turkey for different states of its economy (e.g. contraction or expansion) between January 2005 and April 2018, Markov Switching Vector Autoregressive Model (MSVAR) is employed. According to the findings, an increase in capital flows in the previous period enhances carry trade activity in the current period when expansion regime is in effect. However, for the contraction regime, no evidence is found toward a significant relationship between carry trade and capital flows. Moreover, it is seen that exchange rate uncertainty is considered as an important risk factor by investors in contraction periods when risk aversion levels of investors are high.
CO2‐Induced Climatic Changes and Irrigation‐Water Requirements

Effects of CO\d2-induced climatic changes on irrigation-water requirements (IR) in the Great Plains region were evaluated using results of global atmospheric-circulation models with a water balance–IR model. Increases were predicted for evapotranspiration \IE\dt\N due to predicted increases in air temperature, solar radiation, and wind speed under doubled concentrations of atmospheric carbon dioxide (2×CO\d2). Predicted increases in humidity under the 2×CO\d2 scenarios and shifting of crop life cycles to months with lower levels of solar radiation partially counteracted predicted increases in \IE\dt\N. Increases in irrigation requirements were caused primarily by increases in evaporative demands and changes in precipitation patterns. Increases in net seasonal IR for alfalfa were larger due to predicted increases in length of frost-free growing seasons and higher evaporative demands as compared to winter wheat and corn. Decreases or only modest increases in seasonal irrigation requirements were projected under 2×CO\d2 scenarios for corn and winter wheat due to reductions in length of crop life cycles and projected increases in bulk stomatal resistances.
Project Management Training

In 2005 the Indiana Department of Transportation (INDOT) went through a complete reorganization of its operations going from centralized to decentralized (District) management. This reorganization gave Districts autonomy to manage construction projects with one exception - all added capacity projects are managed in the central office by the office of project management. Following in 2006 INDOT initiated a program named “Major Moves. ” This is a ten year major road building program that was funded partially through a $4 billion lease of the Indiana Toll Road. Through Major Moves annual new construction will go from $213 million in FY 2006 to $1.2 billion in FY2009. These two factors caused INDOT to change their approach toward managing design and construction. This “new” approach toward projects requires an individual to manage projects with skills and functions that are not common at INDOT. Therefore the purpose of the project was to: 1. Determine what skills were needed for INDOT project managers; 2. Develop a training program to develop these needs; 3. Deliver a training program; This report describes the training program established at INDOT and contains the resources available for project managers and training materials.
An analysis of transferring value-added activities within the context of modular design

Automotive companies have used modularity as a strategy applied to new product development along with the outsourcing of production. To develop products using the modular strategy, activities inherent to production are redistributed based on a division of work among assemblers and their suppliers. In this sense, this study investigates the process of transferring value-added activities in new product development to tier suppliers in the context of modular strategy. The research relies on a multiple case study approach. Results shown that the companies studied were positioned in distinct levels of modular competencies ('embryonic', 'under development', and 'mature'), according to the empirical evidence. The relationships between the stage of maturity and major new product development practices were also identified.
A Comparison of Observers for Estimation of the Bottomhole Pressure.

New offshore oil recourses that are developed are more difficult to drill and increase the requirements to the technology in the offshore industry. A relatively new technology is Managed Pressure Drilling where a choke topside is used to control the bottom hole pressure. The bottom hole pressure measurement is unreliable, which motivates the need for an observer. Different methods for estimation will be presented and compared in this thesis. Proofs of convergence are outlined for the Stamnes observer, derived for the Grip observer and some stepping stones for further work are presented for the Optimal Polynomial Filter. Each observer is simulated with a simple step in the mud pump to verify the estimation laws. The results show that all observes estimated the bottom hole pressure correctly for this simple case. A more realistic case, a pipe connection, is also simulated for each observer. The case includes zero flow from the mud pump, which reveals that all observers miss the estimation convergence in this case, but that the estimate converges when there is flow from the mud pump. One of the states that affects the bottom hole pressure is the pressure loss due to friction in drill string and annulus. Earlier work modeled these losses as quadratic with respect to the flow through the bit, which are simplifications. To improve the estimate of the bottom hole pressure, new and better friction models are needed. Measurement data from Gullfaks C are analyzed to get new knowledge of friction loss in the drilling string and annulus. For the drill string the quadratic friction model is found to be good enough, catching the main behavior. On the other hand, the friction loss in the annulus is a more complicated function of flow. The annulus friction is approximated with sets of basis functions and the weighted sum of these functions gives an approximation to the friction curve. Each weight is estimated to get the friction loss estimate. The use of the weighted sum of four 1st-order b-spline functions give a good approximation to the real friction curve, and the weight for each basis function is estimated. This is tested in simulations both with a simple case and the pipe connection case. The simulations show that the annulus friction loss and the bit pressure are estimated correctly.
Chaos Study on Evolutionary Simulation in Multi-Agent System

Agents' evolutionary behavior in a multi-agent system, which will generate chaotic phenomena, can be used in studying chaos system in natural environment system. The paper simulated the process of belief transfer and bidirectional, innovational transfer among agents, and proposed a new concept of chaotic basic wave and a ZP model. Through some experiments, the paper concluded that the agent group with bidirectional and innovational transfer phenomena could keep the number of their belief types in a steadily chaotic status, and this chaotic steady status will not be affected by some variables of the system in a macroscopic view.
Contamination of local water supply systems in suburban Belgrade

In suburban Belgrade, there are some 200 local water supply systems which are not connected to either the Belgrade Water Supply System or to supply systems operated by municipal utilities. The small systems in Belgrade suburbs are either operated by local municipality (local government) or even by the group of local citizens who have neither technical capability nor financial resources to do it properly. Roughly 200,000 of Belgrade's inhabitants obtain their drinking water from these water supply systems. The water quality delivered by these local water supply systems is often compromised in terms of microbiological, physical and/or chemical compliance with drinking water standards in addition to the general lack of strategy on water safety plans and risk assessment. WHO Guidelines on water quality standards as well as the recommendations on safety plans and whole risk assessment are strictly respected in the main (central) Water Supply System in Belgrade. Most frequently, elevated concentrations of ammonia, nitrites, nitrates and iron lead to lack of chemical compliance, while elevated counts of aerobic mesophilic bacteria and the presence of bacteria indicative of faecal pollution tend to be behind microbiological lack of compliance with drinking water standards. In most cases, failure to meet drinking water standards can be attributed to groundwater pollution. No sewer system exists in these areas, and wastewater from septic tanks, in practice infiltration wells, is in direct contact with groundwater. Of a total of 72 laboratory-tested drinking water samples, 51.3% failed to meet physical and/or chemical standards, and 73.6% failed to meet microbiological standards. Groundwater pollution can only be prevented if wastewater disposal system is provided for all households and all suburban residential areas which obtain their water supply from local water supply systems. Some possible mitigation measures have been indicated. In the interim period, water must be disinfected continually, and the feasibility of ozonation or UV irradiation, in addition to chlorination, should be assessed.
A Theoretical Model Of The Circuit Of Empty Chemical Containers From Production To Reuse

This paper presents a theoretical model to evaluate the empty agrochemical packaging circuit used in the production of transgenic soya. In order for that, a model has been developed that analyzes the structure and causal relationships of the system. Thanks to this model, it will be possible to understand the retro feeding mechanisms in a time scale. Moreover, there has been shown a graphic representation of the dynamic system that starts in the yield process of the packaging, finishing with its re-use. The mathematical model generated is defined by a group of differential equations. These equations represent the change of the variables defined as level variables in time. The equations have been defined through flow variables that represent the yield rate use, discard and collection of packages. The theoretical model is close to reality and appropriate to simulate situations. During this period a theoretical model has been developed and in earlier stages planned sample taking is presented to obtain data to adjust the theoretical model proposed.
Trust Assessment in Internet of Things Using Blockchain and Machine Learning

Since IoT devices are strengthened, edge computing with multi-center cooperation becomes a trend. Considering that edge nodes may belong to different center, they have different trust management model, it’s hard to assess trust among edge nodes. In this paper, we take blockchain to coordinate differences among centers, construct a trust environment for transactions in IoT. In detail, we propose a blockchain based identity management for IoT to ensure identity is credible, then design a transaction model to provide certification for IoT transactions. And, we take machine learning methods to analyze IoT transaction log, thus decide trust nodes or not. Experiment results show that our mechanism could effectively identify trustworthy edges in IoT.
Dual-frequency microstrip antenna with dual circular polarisation

A single-feed dual-frequency microstrip patch antenna that can produce dual circular polarisations (CP) is presented. The microstrip antenna has an annular-ring patch and is excited by an L-shaped microstrip line through the coupling of a ring slot in the ground plane. The occurrence of the dual CP is because the magnetic currents circulating along the ring slot at two specific frequencies have opposite flowing directions. Both simulated and measured results are provided to validate the CP performance of the proposed antenna.
A computer model for finding the time-dependent minimum path in a transit system with fixed schedules

This paper describes the development of a computer model and algorithms for finding the time-dependent minimum path between two stations in a multi-route, multi-mode transit system running to fixed schedules. Selection of the minimum path can be based either on journey time or on weighted time. A worked example using a simple transit network is given to illustrate how the model works. The model has several applications in transport planning: it can be used for generating route schedule information to guide transit users, for assisting in route schedule coordination, and for analyzing transit system accessibility.
Wideband 2 × 2 sequentially rotated patch antenna array with a series feed

A new wideband 2 × 2 patch antenna array operating at 5.8 GHz with an out‐of‐line series feed is presented. Input impedance bandwidth and axial ratio bandwidth are shown to be significantly increased for this new array, which employs a sequential rotation of series‐fed, circularly polarised, aperture‐coupled radiating elements. The array also maximises the available space on the feed substrate for microwave circuitry. A VSWR 2:1 bandwidth of 22.8% and a 3‐dB axial ratio of 17.5% are confirmed by full‐wave simulation and experimental measurement. © 2004 Wiley Periodicals, Inc. Microwave Opt Technol Lett 40: 292–294, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.11356
Measurement of Life-saving Training Impacts on Health Care Professionals Retention and Competence: and Patients' Outcomes

This review focused on exploring the significance of CPR impacts on health care professionals' retention abilities and the possibilities of transferring the learning to boost their competency while applying CPR. Considering life-saving training as the most prioritized healthcare professional needs signifies the need to evaluate the actual training impacts on the patients' outcomes. The life-saving training impacts evaluation relies on knowledge retention and the ability to show an adequate competency level while practicing in the clinical field. However, the training specialists' and education experts' failure to link the life-saving training to patients' outcomes would lead only to cyclical and traditional training attempts. The paper reviews the approaches for increasing the direct patients' impacts from CPR. It is an instrumental review to magnify the required training and instruction potentials to maximize learning transfer. Many sections in the review explored similar deficits that we would face in the life-saving modules due to focusing on delivery and instruction without aiming at the outcomes and learning transfer to the patients. This review paper provides an evidence-based approach to explore the specific gaps in training life-saving training programs and explore structured mechanisms for providing life-saving training in hospital settings.
A Linear RF Power Amplifier with High Efficiency for Wireless Handsets

This research presents design techniques for a linear power amplifier with high efficiency in wireless handsets. The power amplifier operates with high efficiency at the saturated output power, maintains high linearity with enhanced efficiency at back-off power levels, and covers a broadband frequency response. The amplifier is thus able to operate in multiple modes (2G/2.5G/3G/4G). The design techniques provide contributions to current research in handset power amplifiers, especially to the converged power amplifier architecture, to reduce the number of power amplifiers within the handset while covering all standards and frequency bands around the globe. Three main areas of interest in power amplifier design are investigated: high power efficiency; high linearity; and broadband frequency response. Multiple techniques for improving the efficiency are investigated with the focus on maintaining linear operation. The research applies a new technique to the handset industry, class-J, to improve the power efficiency while avoiding the practical issues that hinder the typical techniques (class-AB and class-F). Class-J has been implemented using GaN FET in high power applications. To our knowledge, this work provides the first implementation of class-J using GaAs HBT in a handset power amplifier. The research investigates the linearity, and the nature and causes of nonlinearities. Multiple concepts for improving the linearity are presented, such as avoiding odd-degree harmonics, and linearizing the relationship between the output current and the input voltage of the amplifier at the fundamental frequency. The concept of bias depression in HBT transistors is introduced with a bias circuit that reduces the bias-offset effect to improve linearity at high output power. A design methodology is presented for broadband matching networks, including the component loss. The methodology offers a quick and accurate estimation of component values, giving more degrees of freedom to meet the design specifications. It enables a trade-off among high out-of-band attenuation, number/size of components, and power loss within the network. Although the main focus is handset power amplifiers, most of the developed techniques can be applied to a wide range of power amplifiers.
Data Processing of Laser Metal Deposition Shaping Technology: Part II. Contour Scanning Path Research

This document proposes a kind of contour path offset algorithm of Laser Metal Deposition Shaping (LMDS) technology. The contour path offset is determined by both laser spot radius and post-processing allowance. Besides, the offset direction can be judged through applying the cutter offset principle of NC machining. Then the formed intersecting points of a series of equidistant lines can be connected circularly to solve the contour path offset line. Since this algorithm fully considered the near-net shaping condition of LMDS and the combined effects of laser spot radius, the precision of as-formed metal parts could be further improved.
Economic-Driven Measure in Constructing a V2G Parking Lot from DisCo. Perspective

Electric vehicles have been the center of attention in recent years because they can be used to set up a bidirectional connection to the power grid. In such a scheme an aggregation of Plug-in Hybrid Electric Vehicles (PHEVs) can be used to provide ancillary services for the power grid which is known as Vehicle to Grid (V2G) concept. Aggregation of these PHEVS can be parked in a parking lot which can be considered as a distributed generation unit. During off-peak hours, power grid provides electrical energy for charging the PHEVs in the parking lot and during peak hours the aggregation of PHEVs in the parking lot can give back some amount of their stored energy to the grid. In this paper, it is considered that the parking lot belongs to the Distribution Company (DisCo). The economic revenues and costs of constructing such a parking lot for a Distribution Company are modeled mathematically. Genetic algorithm is used to find the optimal number of the electric vehicles in the parking lot at each hour which can provide maximum benefit for the Distribution Company.
An Industrial Manipulator for Shipbuilding

In this paper, to improve the efficiency of welding and user convenience in the shipbuilding industry, a PC-based off-line programming (OLP) technique and the development of a robot transfer unit are presented. The developed OLP system is capable of not only robot motion simulations but also automatic generations of a series of robot programs. The strength of the developed OLP system lies in its flexibility in handling the changes of the welding robot's target objects. Moreover, for a precise transfer of the robot to a desired location, an auxiliary mobile platform named a robot-origin-transfer-unit (ROTU) was developed. To enhance the cornering capability of the platform in a narrow area, the developed ROTU is equipped with 2 steering wheels and 1 driving wheel. Both the OLP and the ROTU were field-tested and their performances were proven successful.
Optimal Control Strategies to Reduce Sea Lion Bycatch in Squid Fishing

Strategies to minimise sea lion bycatch in the squid fishing industries require a combination of exploiting the spatial and temporal characteristics of both squid and sea lions. Optimal control theory provides a useful starting point to develop feasible strategies to efficiently manage the resource. If these proposed strategies are successful, then the fishing industry will be self-governing meaning that there is less need for drastic external legislative act ion such as prematurely closing the fishing season. This paper develops a dynamic bio-economics model and compares various management strategies including optimal control to ensure that both the squid fishing industry and the sea lion population are sustainable.