Miracle-dz/UniFAR-FTUs huggingface dataset:
Heat Transfer Measurements in a Rotating Equilateral Triangular Channel With Various Rib Arrangements

The present research investigates the heat transfer characteristics in an equilateral triangular channel to simulate the leading edge cooling passage of a gas turbine blade. The experiments are conducted for the stationary and rotating ribbed channel with three different attack angles (45°, 90° and 135°). Square ribs are installed in a staggered manner on the pressure and suction side surfaces of the channel. The rib height to channel hydraulic diameter ratio (e/Dh ) is 0.079 and the rib-to-rib pitch (p) is 8 times of the rib height. To measure regional-averaged heat transfer coefficients in the channel, two rows of copper blocks with heaters are installed on each surface. The rotation number ranges from 0.0 to 0.1 for the fixed Reynolds number of 10,000. Inlet coolant-to-surface density ratio is about 0.2. For the channel with 90° ribs, the heat transfer rates of all regions have similar values for stationary case. However, for the rotating channel, heat transfer coefficients on the pressure side surface are significantly increased while the suction side surface has quite low heat transfer coefficients due to a single rotating secondary flow induced by Coriolis force. For the channel with angled rib arrangements, a pair of counter-rotating vortices is induced by the angled rib arrangements. High heat transfer coefficients are obtained on the regions near the inner wall for 45° angled ribbed channel and near the leading edge for the 135° angled ribbed channel. The heat transfer coefficients in rotating channel with angled ribs are almost the same as those of stationary case for the tested conditions because the secondary flow dominates the heat transfer. The channel with angled ribs consistently yields better thermal performance than the transverse ribbed channel for the test conditions of the present study.Copyright © 2006 by ASME
Video-Based Traffic Flow Parameters Monitoring and Integrated Traffic Information System

Road traffic flow parameters are the important basic information for traffic safety management, traffic condition evaluation and decision-making. This project designs a video-based traffic flow parameters monitoring terminal (ITS monitoring terminal), which is based on MENLOW embedded platform and expands its hardware and software resources. CCD cameras are used to capture image in video sequences in traffic environment. Image processing and analysis technologies are used to track vehicles and analyze the vehicle conditions in real time, and a vision measurement model which computes the traffic flow parameters, such as length, width, speed, distance between two vehicles, traffic flow density, and occupancy ratios, etc. is constructed. Furthermore, BP neural network is used to classify vehicles. ITS terminals interconnected with each other through public network or private network (optical ring network of transport agency, WLAN, Internet, and 3G) and connected with monitoring center of transport agency, which achieves dynamic data exchange and share among ITS terminals. It realized a wide-area distributed and integrated transport information system which synthesizes transport information guidance, traffic tracking; condition evaluation, decision-making, and real time transport information release.
Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing

This research work describes an architecture for building a system that guide a user from a forecast generated by a machine learning model through a sequence of decision-making steps. The system is demonstrated in manufacturing demand forecasting use case and can be extended to other domains. In addition, the system provides means for knowledge acquisition by gathering data from users. Finally, it implements an active learning component and compares multiple strategies to recommend media news to the user. Such media news aims to provide additional context to demand forecasts and enhance judgment on decision-making.
Fault Diagnosis of Wet-Shift Clutch Based on STFT and Wavelet

The paper analyzes the failure mechanism of the wet shifting clutch, and puts forward the concept that the deformation of the clutch friction plate leads to the irregular collision between the driving and driven sides of disengaged clutch and accordingly forms the transient pulse signal; the short-time Fourier analysis on the vibration signals of failed clutch obtained via test proves such concept. The transient pulse signal in the relatively strong background signal is clearly extracted through the wavelet decomposition after zero setting, and an efficient wet shifting clutch fault diagnosis method is hereby formed.
Information management for through life product support: the curation of digital engineering data

Many engineering companies are today undergoing a paradigm shift from product delivery to through life service support. The shift applies across a range of different sectors, including defence, civil aerospace and construction. If these sectors are to remain competitive, they require new business, operational and information system models that extend 30 years or more into the future. This paper is concerned with identifying the research status and agenda in the development of information systems to support the process of product introduction and through life support. The paper first concentrates on issues of engineering model representation, including the storage of product lifecycle management (PLM) data for long term access, and the capture of design rationale, decision outcomes and design process information. It then addresses systems issues, including the longevity of digital hardware and storage media, and strategies for the archiving of digital data over several generations of computer hardware and software. Next, issues of data organisation are concerned with how large collections of information can be organised to assist information access by diverse communities over long timescales, and with appropriate security and identification of information provenance. Finally, management issues are concerned with the strategic and organisational approaches to through life information management adopted by organisations throughout the value chain, with the way people and communities work with information collections, and with how working practices may change in the future.
Teachers-Students’ Interaction in Early Childhood Inclusion Program

UNESCO has defined inclusive education as a chance for children with disabilities to learn in the same class with their non-disable peers. It becomes the most equitable chance for those school age students with disabilities to get their right. The implementation of early childhood inclusion programs in Bali is relatively new. Thus, an analysis on its implementation is needed in order to know in extend the program is effective. This study aims to describe the effectiveness of the teachers-students social interaction in early childhood inclusion program. It is an evaluative research by focusing on the learning process, including aspects of plan, implementation, and assessment. There are 119 respondents, who are headmasters and teachers of Kindergarten, involved in this study. Data are collected through questionnaire that have been tested for being validated. The result shows that social interaction of teachers and students are: (1) positive from the aspect of planning with F + = 53.781% and F─ = 46.218%, (2) not effective in the aspect of implementation with F + = 47.058% and F─ = 52.941%, and (3) not effective social in the aspect of evaluation with F + = 42.857% and F─ = 57.142%. It can be concluded that the social interaction of teachers and students in inclusion early childhood education program in is less effective (+ ─ ─). The teacher-students‘ social interaction as pivotal aspect of learning process, especially for special need students, needs to improve.
Tactile Expert System Using a Parallel-Fingered Hand Fitted with Three-Axis Tactile Sensors

In an effort to improve the intelligence of a robot fitted with tactile sensors, we have developed a tactile sensor array which detects the distribution of three applied force vector components. Here, we introduce formulas for basic tactile information such as applied force and moment, centroid of distributed pressure, contact pattern, contact state and mechanical properties, obtained through contact of the tactile sensor with an object. We then produce a tactile expert system which is capable of recognizing the material, shape and stability of the object by means of a reasonably combining the basic tactile information. Recognition experiments show that the system can infer the material and shape of seven objects and that it can control the hand in response to the different kinds of grasping instability.
Chemistry and Mechanism of One-Step Formation of Graphene from Agrowaste

The one-step synthesis of high-quality graphene derivatives via CVD process has gained considerable importance nowadays for high-performance electronics and sensors. However, the use of harsh chemicals, high temperature, sensitivity, and the problem of separation of graphene from the substrate, motivated the one-step synthesis of graphene from a non-graphitic precursor, bypassing the use of graphite. In this paper, we have reported for the first time, the synthesis of graphene nanosheets from sugarcane bagasse at the normal atmospheric condition in a single step, avoiding the formation of GO. Here, the pyrolysis of sugarcane bagasse was carried out in the temperature range of 250-450o C in the presence of sodium hydroxide. The results suggested that even the low temperature (250–450o C) facilitated the development of graphitic planes via condensation and aromatization of the glucose monomers present in the precursor. The XRD pattern showed 2θ at around 25o in each case, which confirmed the formation of graphene instead of GO. The FESEM, TEM, and EDX analysis proved the formation of few-layer nanosheets of graphene from carbon-rich waste precursors in a single step.
Computation of additional losses due to rotor eccentricity in electrical machines

This study investigates the effect of eccentric rotor on the power losses in electrical machines. The investigations are carried out for an induction machine with PWM-voltage supply and in the cases of dynamic and static eccentricity. The time-stepping two-dimensional finite element method, with coupled field and circuit equations, is used for the simulations. The iron losses are computed through a dynamic loss model. It is shown that the operation of the machine under eccentricity fault results in an increase of both resistive and iron losses. Further the eccentricity causes additional torque modulation and unbalance magnetic pull that result in additional bearing friction losses and wearing.
University’s Core Business - How digitalization, cooperation, and cloud effect IT’s value proposition and metrics

Until now, IT departments run a multitude of systems and components in order to offer services to their University’s users. Nowadays, many of the same IT departments find themselves also in the role of a broker between their users and services obtained from community cloud or public cloud providers. In such an environment, it’s inevitable to complement traditional IT metrics by metrics that are aligned to the users’ needs in order to measure the contribution of IT.
Explicating the Applications of Quality by Design Tools in Optimization of Microparticles and Nanotechnology Based Drug Delivery Systems

Quality by design (QbD) can also contribute to design, manufacturing, and producing highly finished goods. To better explain the manufacturing processes, the FDA focused QbD in the healthcare industry, based on a comprehensive understanding of how technology and design parameters affect the quality of the manufactured product. Various elements of QbD are critical quality attributes (CQA); critical material attributes (CMAs), and critical process parameters (CPPs). The tools generally applied in QbD are risk assessment, design of experiments, and process analytical technology. The various benefits of the QbD model are preventing sampling errors and variability in research studies, less experimentation, and enhanced productivity. Since the microparticles and nanotechnology-based formulations need complex experimentation and an extremely time-consuming process, the application of QbD tools in such investigations can intelligently conclude the research processes. This review article provides a brief outline of the fundamentals, elements, and tools of QbD. Furthermore, the recently published applications of QbD in the optimization of microparticles and nanotechnology-based drug delivery systems have been discussed in this review.
Exploring a vibration synthesis process for the acoustic characterization of electric drives

A method to efficiently synthesize electromagnetically excited vibrations in electric drives is explored in this paper. The process integrates well into a drive system's design phase and allows to characterize the vibrations over the entire torque-speed range. The study is performed on a traction drive for a hybrid electric vehicle. The influence of different force excitation shapes on the resulting overall vibration is shown and the importance of including tangential forces in the synthesis process is highlighted. The resulting operational deflections at selected operating points are then analyzed. Finally, acoustic maps are introduced as a means to represent and compare predicted and measured acoustic characteristics of speed-variable drives. The synthesized acoustic maps are validated by comparison against their measured counterparts.
Stress investigation of PECVD dielectric layers for advanced optical MEMS

Detailed stress investigations of silicon nitride and silicon dioxide defined by PECVD are presented. The spatial variation of the stress of the dielectric material is evaluated by both, laser induced diffraction imaging method (macroscopically averaged stress) and by a large number of laterally distributed MEMS structures on the wafer (microscopically detected stress). By changing the duty cycle of two different plasma excitation frequencies during the deposition, the stress of silicon nitride (deposited at 300 °C) is controlled in a wide range from +850 MPa (compressive) to −300 MPa (tensile). A similar dependence is also observed for silicon nitride deposited at 60 °C. In contrast, silicon dioxide shows in both cases no strong frequency dependence. The microscopically detecting involves a low cost MEMS technology based on photoresist as sacrificial layer. Applying this technology, differently shaped Fabry–Perot filter membranes with various stress values are implemented. The cavity length of the filters and the radii of curvatures of the upper DBR membranes are also varied. Concave, convex and flat membranes with radii of curvature of −0.31 mm, 0.19 mm and −184.71 mm, respectively, are produced.
Unit load and material-handling considerations in facility layout design

The effectiveness of a layout design cannot be completely measured if the operational characteristics of the manufacturing system are ignored. There is, therefore, a need to develop integrated manufacturing system design models. In this paper, the integration of unit load and material-handling considerations in a facility layout design is presented. This integration is based on a stochastic model that captures the operational characteristics of the manufacturing system and a nonlinear mixed-integer program that incorporates a department formation and facility layout. The non-linear mixed-integer program is solved using a simulated annealing-based algorithm. Analytical results for different manufacturing system scenarios are presented and compared with results obtained using alternative QAP-type formulations. Based on our experiments and the characteristics of the different formulations, key observations are presented and discussed.
Broadband rectangular microstrip antenna with pair of toothbrush-shaped slots

A novel broadband design of a probe-fed rectangular microstrip antenna with a pair of toothbrush-shaped slots embedded close to the nonradiating edges of the patch is presented. The proposed broadband design is achieved by the excitation of two adjacent resonant frequencies of the TM10 and TMδ0 modes (1 < δ < 2), to obtain a wide operating bandwidth. An antenna bandwidth as large as ~2.6 times that of a conventional rectangular microstrip antenna has also been obtained. Details of the proposed design and experimental results are presented.
Thermal Analysis of Interior Permanent-Magnet Synchronous Motor by Electromagnetic Field-Thermal Linked Analysis

This paper reports an investigation of pulse width modulation (PWM) techniques for twophase brushless DC (BLDC) motors fed by a two-phase eight-switch inverter in a fan application. The three-phase BLDC motor is widely applied in industry; however, a lower-cost two-phase BLDC motor and drive circuit has been greatly in demand in recent years. In this paper, we introduce a mathematical model of the two-phase BLDC motor with sinusoidal back electromotive forces (EMFs) based on traditional three-phase BLDC motors. To simplify the drive algorithm and speed up its application, we analyze the principle of block commutation for a two-phase BLDC motor drive in the 180-electricaldegree conduction mode, and we further propose five PWM schemes to improve the commutation performance of the two-phase BLDC drive. The effectiveness of the proposed PWM methods is verified through experiments.
Optimal Generation Direction Method with SVC Installation for Loading Margin Improvement

In order for transmission systems to accommodate more power transfer with less network expansion by building new transmission lines, it can be a good measure to operate under optimal generation direction (GD) under existing networks. In this paper, the problem considering static voltage stability to determine the optimal GD is solved by a PSO algorithm, in which the continuation power flow (CPF) process is used to calculate the loading margin (LM) for each particle. Three objective functions are suggested for different purposes, including maximum loading margin (LM), minimum generation cost, and minimum generation cost and maximum LM as well. In the tests, to validate the effectiveness of the proposed method, the results derived with the respective objectives and from the cost participating factor (Cost PF) approach are made com- parison. And, under each GD, with an SVC installation on the specified critical bus, how much the LM that can be increased is also investigated.
Stakeholders' Perception of the Causes and Effects of Construction Delays on Project Delivery

ABSTRACT: The growing rate of delays is adversely affecting the timely delivery of construction projects. This study therefore assesses construction stakeholders’ perception of the causes of delays and its effects on project delivery in a bid to proffer solution in minimizing the occurrences of delays. Questionnaire was used to elicit responses from construction stakeholders; a total of thirty three causes of delays, seventeen resultant effects of delays and fifteen methods of minimizing construction delays were identified for the study based on literature reviews. The results suggest that client’s cash flow related problems are the ma in causes of delays while time and cost overruns are the major identifiable effects of delays in construction projects. However, adequate project planning and budgeting were suggested as possible ways of minimizing the occurrences of delays. Keywords: Cost; Delay; Project delivery; Stakeholders; Time I. I NTRODUCTION EVIEWDelay is a pervasive phenomenon in construction project delivery. It is branded as the most common, costly and risky problem encountered in construction project with a debilitating effect on the parties to a contract [1]. It creates adversarial relationships, distrust, litigation, cash-flow problems, project abandonment and general feeling of apprehension towards each other [2]; [3]. Delays frequently occur in all phases of construction projects and have been seen as inevitable [4]; [5] which consequently results in cost and time overruns [6]. It is seen as the most prolific factor affecting project performance [7]. The demand of construction clients for the timely delivery of construction projects and the susceptibility of projects to delays and cost overruns has attracted the attention of researchers all over the world, most of who tried to identify the immediate as well as the root causes of project delay. However, despite the various study and investigation into the causes of delays, it has continued to be a deadly monster which plagues the construction industry. The objective of this paper is therefore to evaluate construction stakeholders’ perception of the major factors that causes delay in construction projects, evaluate the effects of delays on construction project delivery and to devise a method by which these effects on delays on construction project delivery could be minimized in stakeholder’s perception. This is envisioned to help the stakeholders: construction clients, contractors and consultants to understand the dynamics of delays associated with construction projects. II. L
Optimizing Spanwise Lift Distributions Yacht Sails Using Extended Lifting Line Analysis

DOI: 10.2514/1.C001011 This paper discusses how to maximize the drive force produced by an upwind sail. It aims to provide a better understanding of the behavior of this force as a function of the heel angle of the yacht and the wind speed. It also discusses the corresponding optimal spanwise loading distributions. An extended lifting line code, based on Weissinger’s method, is developed to analyze the performance of an isolated mainsail in upwind conditions. It is extended to account for the heel angle of the yacht via effective angle theory, and an image sail is used to model the influence of the sea surface. Profile drag is modeled using experimental data. The extended lifting line code is validatedagainstwind-tunnelmeasurementsanddatafromtheliterature.Asecondcodeisthenusedtooptimizethe spanwise loading on a mainsail such that the drive force is maximized. Constraints are implemented to ensure positive circulation over the entire span and to limit the sectional loading to realistic values. Finally, the extended lifting line code is inverted to calculate the twist distribution necessary to produce the desired, optimized loading distribution for a given sail planform. The calculated twist distribution is found to be realistic and achievable.
Mechanical Properties of Artificial Lightweight Geopolymer Aggregate (ALGA) Concreteusing Volcano Mud with Various Sintering Temperature

The mechanical propertiesof artificial lightweight geopolymer aggregate (ALGA) using volcano mud in concrete have been investigated at various sintering temperature. The volcano mud was mixed with alkaline activator, formed into spherical pellets, then sintered in the furnace at temperature of 500°C, 600°C, 700°C, 800°C, 900°C, 950°C, and 1000 °C. The lightweight concrete with density below than 1800 kg/m3 can be achieved at sintering temperature ALGA of 950 °C. The optimum compressive strength of 30.1 MPa was achieved at 28 days of testing. The lower water absorption of ALGA concrete was produced with 5-8 % in range.
Demultiplexer Based on Photonic Crystals

Photonic crystals are periodic structures of the dielectric materials where is posible manipulate photons in many interesting ways. Photonic band gap can propagate specific wavelengths. We present the design of demultiplexer based in photonic crystals. The control of the dielectric materials, periodicity, and size of the dielectric, is very important for light propagation. In optical communications we need to work with 1. 31μm and 1. 55μm by the total dispersion and due to the minimum dispersions inside the fiber and therefore minimum loses. Our design of the demultiplexer is based on diference between the background and rod refractive index.