Miracle-dz/UniFAR-FTUs huggingface dataset:
Model based 3D vision synthesis and analysis for production audit of installations.

One of the challenging problems in the aerospace industry is to design an automated 3D vision system that can sense the installation components in an assembly environment and check certain safety constraints are duly respected. This thesis describes a concept application to aid a safety engineer to perform an audit of a production aircraft against safety driven installation requirements such as segregation, proximity, orientation and trajectory. The capability is achieved using the following steps. The initial step is to perform image capture of a product and measurement of distance between datum points within the product with/without reference to a planar surface. This provides the safety engineer a means to perform measurements on a set of captured images of the equipment they are interested in. The next step is to reconstruct the digital model of fabricated product by using multiple captured images to reposition parts according to the actual model. Then, the projection onto the 3D digital reconstruction of the safety related installation constraints, respecting the original intent of the constraints that are defined in the digital mock up is done. The differences between the 3D reconstruction of the actual product and the design time digital mockup of the product are identified. Finally, the differences/non conformances that have a relevance to safety driven installation requirements with reference to the original safety requirement intent are identified. The above steps together give the safety engineer the ability to overlay a digital reconstruction that should be as true to the fabricated product as possible so that they can see how the product conforms or doesn’t conform to the safety driven installation requirements. The work has produced a concept demonstrator that will be further developed in future work to address accuracy, workflow and process efficiency. A new depth based segmentation technique GrabcutD which is an improvement to existing Grabcut, a graph cut based segmentation method is proposed. Conventional Grabcut relies only on color information to achieve segmentation. However, in stereo or multiview analysis, there is additional information that could be also used to improve segmentation. Clearly, depth based approaches bear the potential discriminative power of ascertaining whether the object is nearer of farer. We show the usefulness of the approach when stereo information is available and evaluate it using standard datasets against state of the art result.
Performance Evaluating of RPL Routing Protocol under Real Environment

Performance of TinyRPL routing protocol in a real environment were tested and analyzed. Firstly,hardware and software of the test network environment is presented. On this basis,four performance indicators of the throughput,packet delivery ratio,routing fairness and routing protocol overhead are defined and explained. Then the four performance indicators were tested and analyzed. At last,a summary of the analytical results is done and the further research is pointed out.
SUPPLY CHAIN MANAGEMENT IN CONSTRUCTION: A LITERATURE SURVEY

3Construction project involves various disciplines of engineering and a network of entities for the execution of quality work. The requirement of the client which is the basic objective of any construction project revolves around the reliability and quality of runway pavements and allied constructions. If the time constraints are severe and the uncertainties are inherent, the traditional project management techniques have to be redesigned reconceived to achieve the desired service parameters and time limits under these circumstances. The Supply Chain Management techniques are now being increasingly applied in the execution of such construction projects. The paper outlines the basics of Supply Chain Management and compiles literature review of supply chain management in construction. It analyzes the existing state of research in application of SCM in construction and explores the areas in which SCM techniques may be successful.
Novel Lossless Grounded Inductance Simulators Employing only a Single First Generation Current Conveyor

For most electronics circuits, the inductor is not a desirable circuit element. This is attributed to several reasons. Inductors are less standard compared to other passive circuit elements and they must be prepared separately in many applications. The behavior of physical inductors is not sufficiently close to ideal component behavior compared with resistors and capacitors and in terms of spatial dimensions they are larger than the other circuit elements, unless the inductance value is very small. Instead of physical inductor elements, actively simulated inductances have widely been used in many circuits. Actively simulated inductors find application in areas like oscillators and active filter design problems. For this reason, there are many publications on the active simulation of inductances [1-15]. Also many works concentrated on the simulation of floating inductances, which are more general than a grounded inductor [1-6]. Most of the presented op-amp and second generation current conveyor (CCII) based topologies presented up to now realise some of possible inductorresistor-capacitor combinations using the same circuit configuration. The presented grounded inductor simulating topology in reference [1], employs only a single current conveyor, six resistors and one capacitor to obtain six types of inductors that is ideal L, L with a series positive resistance, L with a series negative resistance, L with a parallel positive resistance, L with a parallel negative resistance and the bilinear form. Moreover for each type of inductor all five passive elements are used. Some of them are related with simulation of only series immittance function [8-9]. Several specific circuits for the simulation ofR-L and C-D immittances have been reported in the literature [10-13]. Universal series and parallel immittance simulator topologies employing two FTFNs are presented in a recent work [13]. A general immittance simulator circuit that enable simulation of all possible form of inductors is proposed in reference [14]. The main objective of this paper is to present actively simulated grounded lossless inductors in a simple form that provide further possibilities to the designers in the realisation of analogue signal processing circuits. The first generation current conveyor (CCI) is used as the active element. Some advantages of the first generation current conveyor over CCII is discussed in [16]. For example it is shown that the existence of the internal current feedback from z terminal to the y terminal
CrossLocate: Cross-modal Large-scale Visual Geo-Localization in Natural Environments using Rendered Modalities

We propose a novel approach to visual geo-localization in natural environments. This is a challenging problem due to vast localization areas, the variable appearance of outdoor environments and the scarcity of available data. In order to make the research of new approaches possible, we first create two databases containing "synthetic" images of various modalities. These image modalities are rendered from a 3D terrain model and include semantic segmentations, silhouette maps and depth maps. By combining the rendered database views with existing datasets of photographs (used as "‘queries" to be localized), we create a unique benchmark for visual geo-localization in natural environments, which contains correspondences between query photographs and rendered database imagery. The distinct ability to match photographs to synthetically rendered databases defines our task as "cross-modal". On top of this benchmark, we provide thorough ablation studies analysing the localization potential of the database image modalities. We reveal the depth information as the best choice for outdoor localization. Finally, based on our observations, we carefully develop a fully-automatic method for large-scale cross-modal localization using image retrieval. We demonstrate its localization performance outdoors in the entire state of Switzerland. Our method reveals a large gap between operating within a single image domain (e.g. photographs) and working across domains (e.g. photographs matched to rendered images), as gained knowledge is not transferable between the two. Moreover, we show that modern localization methods fail when applied to such a cross- modal task and that our method achieves significantly better results than state-of-the-art approaches. The datasets, code and trained models are available on the project website: http://cphoto.fit. vutbr.cz/crosslocate/.
Control and Uncertainty Propagation in the Presence of Outliers by Utilizing Student-t Process Regression

Gaussian Process Regression (GPR) has been extensively used to estimate unknown models and quantify model uncertainty in control tasks concerning safety-critical applications. However, one of the drawbacks of GPR is that it does not take into account the function evaluations of the observations in the uncertainty estimation, rendering it unsuitable for applications with observations prone to outliers or to some unassumed noise disturbance. In this work, we introduce the Student-t Process Regression (TPR) as a generalization of GPR for estimating dynamics models in the control literature. The key attribute of TPR is that the estimation variance explicitly depends on the function evaluations rendering it more robust to outliers. We prove uniform error bounds for the estimation based on TPR under certain continuity assumptions. Furthermore, we employ TPR to estimate unknown and nonlinear dynamical systems and we show with control simulations that the resulting estimation uncertainty compensates for the existence of outliers. Such informative variance estimates are of vital importance as they can lead to more informative uncertainty propagation and thus less conservative control policies.
First results of the use of a continuously flowing lithium limiter in high performance discharges in the EAST device

As an alternative choice of solid plasma facing components (PFCs), flowing liquid lithium can serve as a limiter or divertor PFC and offers a self-healing surface with acceptable heat removal and good impurity control. Such a system could improve plasma performance, and therefore be attractive for future fusion devices. Recently, a continuously flowing liquid lithium (FLiLi) limiter has been successfully designed and tested in the EAST superconducting tokamak. A circulating lithium layer with a thickness of <0.1 mm and a flow rate ~2 cm3 s−1 was achieved. A novel in-vessel electro-magnetic pump, working with the toroidal magnetic field of the EAST device, was reliable to control the lithium flow speed. The flowing liquid limiter was found to be fully compatible with various plasma scenarios, including high confinement mode plasmas heated by lower hybrid waves or by neutral beam injection. It was also found that the controllable lithium emission from the limiter was beneficial for the reduction of recycling and impurities, for the reduction of divertor heat flux, and in certain cases, for the improvement of plasma stored energy, which bodes well application for the use of flowing liquid lithium PFCs in future fusion devices.
Four-element array of complementary split-ring resonator loaded printed directive dipoles for triple band applications

A four-element array of printed directive dipoles loaded with complementary split-ring resonators (CSRRs) is proposed for triple-band applications. The triple-band response in the array is attributed to the reference dipole mode, one CSRR-induced lower-frequency resonance and one higher order resonance obtained due to the interaction of the feed-network comprising of broad-side coupled coplanar striplines. A simplified equivalent circuit model is further developed to provide insight to the operating principle of the proposed triple band array. Stable fan-beam radiation pattern and high realised gain is observed at all the working bands. The results of measurement on a fabricated prototype validate the proposed design methodology.
English and American Wildlife Law: Lessons from the Past

English wildlife law has been well documented for over 1,500 years. Since the Middle Ages the English have tried implementing, at one time or another, almost every law that could be imagined for the taking and harvesting of wildlife. The pen- alty for violations of these laws have ranged from a fine, prison, mutilation, transportation, to even death. Despite all these laws and draconian punishments, poaching still persisted. Before we propose or try to change any of our current laws, we should review the past and see if this new law or change has failed or worked earlier. Let us ask the question each time we propose a change, "Are we trying to re- invent the wheel? " Proc. Annu. Conf. Southeast. Assoc. Fish and Wildl. Agencies 47:732-739
BASIC CONTROL OF UNIFIED POWER FLOW CONTROLLER

This paper presents a mathematical model of unified power flow controller based on switch function; Based on park transformation, it designs a decoupled control scheme of UPFC in d and q-axis with the utilization of predictive current. It deduces the state of each power electronics device in UPFC by means of the voltage space vector pulse width modulation method. Considering the importance of capacitor voltage control of UPFC, it puts forward a fuzzy self-adaptive PID control strategy comparing with the traditional PID control method. MATLAB simulation program indicates that it can enhance the stability of the capacitor voltage and power flow. It is similar to enlarge the capacity of the capacitor. The whole control scheme can be referred by other similar control system.
Corrosion-fatigue interactions of high-temperature nickel alloys

Corrosion and fatigue aspects of high temperature turbine components made from Alloy 720Li and RR1000 have been studied with a view to understanding the potential failure mechanisms occurring in these materials. Understanding of such failure mechanisms is important in order to make safety improvements and significant cost savings by reducing engine downtime. Some exservice discs currently exhibit pit-like features at a specific location on the firtree lobes, which potentially may lead to more serious alloy fissuring. Shot peening is currently employed to improve fatigue resistance at the surface of components. This work aims to fully characterise these pits and fissure features in addition to shot peening, and the components in general, using advanced analytical techniques, in order that the failure mechanism(s) can be determined and mitigated against. [Continues. ]
UTILIZATION OF WHEY CHEESE AND OAT WHOLE-GRAIN TO CONTROLLING WEIGHT GAIN IN RATS FED ON HIGH FAT DIET

Nowadays foods are not purposed to only fulfill hunger and to supply vital nutrients for humans but, also to prohibit nutrition-related diseases and improve physical and mental well-being of the consumers. In this respect, functional foods play distinguished role. Therefore, the aim of this study was to examine the effect of addition of whey cheese and oat whole grain powder in biscuits and crackers by different formulae to produce low calorie biscuits and crackers, and to evaluate their effectiveness on weight gain and lipid profiles in rats fed on a high-fat diet. Feeding rats on different biscuits and crackers formulae recorded reduced body weight gain, adipocyte histological alteration. Feeding rats led to a significant reduction in the levels of LDL and total cholesterol and an improvement in the HDL levels. In conclusion, consumption of whey cheese and oat whole-grain in form of low calorie biscuits and crackers formula reduced the adipocytes histological changes, resulting in reduction of the body weight of the rats.
The Use of Artificial Neural Networks Tomodel Distortion Caused by Welding

Abstract Electric arc welding is the preferred joining process for many metal-using industries, from small sheet metal products to very large ships. Where thin-walled structures are built, the welding process causes the structure to distort, and this can lead to serious problems in fit up and assembly that require extensive rework. The mechanisms that lead to distortion have multiple causes, and thus modelling distortion in order to predict likely effects has in the past proved to be difficult. This paper outlines a novel approach using artificial neural networks, taking advantage of the ability to deal with multiple inputs. The results are promising, and further research is planned, alongside full-scale industrial trials of the software that has been developed.
Eastward propagating surface salinity anomalies in the tropical North Atlantic

ABSTRACT Upper ocean variations across the tropical Atlantic are strongly seasonal due to corresponding seasonality in surface forcing and continental runoff. This implies that many features in regional upper ocean state or transport anomalies may also be seasonally locked. In the boreal summer and autumn, remote sensing sea surface salinity (SSS) observations show the presence of eastward propagating anomalies concurrent with the seasonal development of fresh Amazon plume and acceleration of the eastward North Equatorial Countercurrent. Interannual variations in these eastward cross-Atlantic SSS signals are investigated in connection with their forcing by wind and circulation patterns. Satellite data show that these SSS anomalies are advected zonally across the entire Atlantic. It is suggested that they originate due to wind-induced changes in the Amazon plume areal extent, which are notorious in the North Brazil Current retroflection. Satellite SSS is instrumental for exploring such signals because in-situ observations do not always capture them due to the limitation in resolved spatial and temporal scales.
Trench-assisted low-crosstalk few-mode multicore fiber

Trench-assisted few-mode multicore fiber with high-multiplicity and low-crosstalk characteristics was designed and fabricated. The core supported two-LP-mode transmission over C+L band. The fabricated fiber realized the worst case crosstalk of smaller than -30 dB/100km at 1625 nm with cladding diameter of 195.4 μm.
Indonesian Students' Scientific Literacy in Islamic Junior High School

Scientific literacy is one of the main and key aspects of facing various challenges in the 21st century. Building students' scientific literacy does not mean making every student a future scientist. However, this is more about building their knowledge of science and technology to play a role in making choices that impact the survival of life today and in the future. This study aimed to analyze the scientific literacy skills of Islamic Junior High School students in Indonesia by using PISA questions from the previous year and finding out their perceptions of PISA academic literacy questions. This study used a sequential explanatory research method with a mixed quantitative and qualitative approach. A total of 150 students from eight Islamic Junior High Schools in West Sumatra and DKI Jakarta Provinces in Indonesia were selected using a purposeful sampling technique. The instruments used are scientific literacy tests to collect quantitative data, interview guides, and open questionnaires for qualitative data. The quantitative data obtained were analyzed by descriptive statistics, while the qualitative data were analyzed by thematic analysis. The results show that the science literacy score of Indonesian Students in Islamic Junior High schools value of Islamic Junior High School students is lower than the average value of the OECD countries and the United States. Then, the students also thought that the scientific literacy questions tested were difficult because they rarely got similar questions. This results also suggest that several factors cause the low literacy scores of Islamic junior high school students, namely their lack of habit of working on similar questions, the limited number of teachers in giving questions that promote critical and analytical thinking skills and the low desire of students to read and explore knowledge other than what they get in school.
An evaluation of the implementation of the school-based assessment system in Malaysia

The implementation of the school-based assessment (SBA) system is an effort in improving human capital development in a holistic manner and also to lessen the negative influences of exam-oriented education systems on students. The need to evaluate the new system is of critical importance as the SBA system is still in a relatively early stage of development. The research is conducted to evaluate the implementation of the SBA system in Malaysian schools by using Stufflebeam's CIPP (context-input-process-product) ModeL According to Stufflebeam, any programme could be evaluated from four dimensions of context, input, process and product. Applying the CIPP Model and supported by relevant learning theories - behaviourism, Piaget's learning theory, constructivism, multiple intelligence and brain research and the assessment models - formative model, the logic model and the SCAP (Social Constructivist Assessment Process) Model, this research examines the evaluation instrument in order to choose valid, just and quality items. The research also investigates the interrelationship of all the evaluation dimensions in the context of SBA implementation. Although much has been done to investigate the relationship between dimensions in this context, none has related all the dimensions together. Additionally, this research incorporated different types of school (urban-rural) and school category (secondary-primary) as variables, which possibly moderated the relationship between the evaluation dimensions. A stratified random sampling technique was applied to collect data from 776 teachers in primary and secondary schools in Kelantan, one of the states in the north-east of Peninsular Malaysia. All the dimensions of evaluation were measured using a questionnaire developed by the researcher. A structural equation modelling software called AMOS (Analysis of Moment Structures) was applied to test all the hypotheses of the study. Results of the study showed i) input dimension has met the desired result, process dimension could still be strengthened and production dimension showed that participants' needs were partially met; ii) evidence of measurement models for input, process and product. Results failed to reject the hypothesised relationships between input and process dimensions and also between process ani} product dimensions; iii) input had a significant relationship with process, some process components had a significant relationship with product'; and there was an indirect relationship between input and product; and iv) school category was found to moderate the relationships between dimensions. Theoretical, methodological and practical implications are discussed. in short,this study provides support for the effectiveness of SBA implementation in schools.