Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrating embedded piezoelectric sensors with continuous wavelet transforms for real-time concrete curing strength monitoring

It is highly necessary to evaluate strength development during the curing process to ensure the quality of concrete in construction using concrete. In particular, curing strength monitoring at early age is very important to reduce the construction cost and time, because it can provide the information required for the decision-making to safely progress to the next process. In this study, a guided wave-based non-destructive curing strength gain monitoring method that can be used even for early-age concrete is proposed. A steel plate-type piezoelectric sensor module was embedded in the concrete media at the same time as concrete placement to measure the signal from early-age concrete. The guided wave signals were measured continuously using the pitch-catch method at regular intervals. The wavelet transform process was performed to improve the quality of the signal. The guided wave's velocity of each measurement time was varied by extracting the time of flight. The wave velocity hysteresis curve according to the curing age was traced to analyse the variation patterns. Finally, a specific equation to estimate the curing strength without destructive test was derived using regression analysis based on the wave velocity hysteresis and the results from the compression test.
Morphing Aircraft Systems: Historical Perspectives and Future Challenges

The term ‘morphing aircraft’ describes a broad range of air vehicles and vehicle components that adapt to planned and unplanned multipoint mission requirements. Adaptation or morphing requires changing system features including vehicle ‘states,’ such as vehicle shape, during in-flight operation. The term morphing can be applied to almost any activity in which in-flight vehicle features are changed. As such, morphing has become a buzzword loosely applied to a wide variety of activities, some of which are disconnected from air vehicle morphing development. This has led to three myths: 1) morphing shape change is too expensive, 2) morphing aircraft must weigh more than nonmorphing aircraft, and 3) morphing requires exotic materials and complex systems. This paper attempts to dispel these myths by reviewing early morphing aircraft history to identify inventions and innovations that led to both successes and failures. The review also discusses recent government-sponsored activities in the United States: in par.
Heat Recovery and Urban Mobile Heat Provider System for Industrial and Mining Enterprises

Heat recovery and urban mobile heat provider system facilitate both users and thermal power factories at the same time. Plentiful of energy will be saved by it which is responding to the harmonious society's requirement. Redundant heat energy is used by heat storage material in vehicles, so economy and rapidity is the characteristic of the system
Who Cares for Planet Earth

Apparently, not us at JMD, as you will see further below. But first, let us look at our home organization. Sometimes we re forced to change our stereotypes. Recently, I stumbled upon the online ASME Professional Pracice Curriculum PPC http://www.professionalpractice. asme. rg , which includes the Sustainability Series among its 48 modles. Here is some of what I read there: “In 1987, the United ations World Commission on Environment and Development oined the term ‘sustainable development,’ which it defined as meeting the needs of the present without compromising the abilty of future generations to meet their own needs. ’ Since then, here have been many efforts to explain what is meant by sustainble development, in particular closed-loop ecosystems. To an ngineer, a sustainable system is one which is in equilibrium or hanging at a tolerably slow rate. In the food chain, for example, lants are fed by sunlight, moisture and nutrients, and then beome food themselves for insects and herbivores, which in turn ct as food for larger animals. The waste from these animals relenishes the soil, which nourishes plants, and the cycle begins gain. If humans are to achieve sustainable development, we ill need to develop processes analogous to these natural closedoop cycles. Historically, humans have made a significant environental impact in their interaction with the natural world, causing amage to the environment in two primary ways: by overonsuming resources; and second, by destroying our environment hrough pollution. Although society has more recently begun to onsider its impact on the environment, environmental protection as usually taken the form of end-of-pipe solutions that often equired considerable money and natural resources. As a result, ndustry has been able to argue successfully that these practices ould compromise its profitability. Sustainable development hifts attention to pre-production design and to the consumption f resources and disposal of used materials. ” This is interesting stuff coming from an organization perceived s staid and conservative like our ASME. In a later section on esign for the Environment the PPC says: “Engineers usually esign commercial products to make a profit, but a product or ervice can also be designed to minimize its impact on the envionment. Designing for the environment satisfies increasingly tringent environmental requirements, and it meets the expectaions of customers and sophisticated stockholders who are conerned about corporate responsibility. ” After many years of indoctrination in QFD, thinking about the xpectations of customers is old news for engineers. But how do e really do this? Is it not the job of economists and the like? hink again: an old favorite economist of mine, Tibor Scitovsky, n his book The Joyless Economy Oxford 1976 writes: “People’s astes, the way they spend their money and arrange their lives, are atters economists have always regarded as something they hould observe, but must not poke their noses into. They seem to eel that analyzing people’s tastes and their motivation would be n invasion of privacy and an abrogation of consumer sovereignty,
Development of a situation awareness measure to evaluate advanced alarm systems in nuclear power plant control rooms

The process controller is required to remain updated regarding developments in the dynamically changing process state, this being referred to as the maintenance of situation awareness. Alarm systems play an important role within this task, and therefore a measure of how effective the system is for enhancing the operator's situation awareness is desirable. One proposed measure is the Situation Awareness Control Room Inventory (SACRI). The methods and results of four simulator studies undertaken to develop and evaluate SACRI are outlined in this paper. It is concluded that SACRI is of use alongside measures such as detection time and diagnostic accuracy in simulator-based evaluations of alarm system design.
Evaluation of the use of Orasol Plus®, A Mouthwash Based on Plant Extracts, in Mucositis in Patients with Breast Cancer Receiving Chemotherapy

Breast cancer is the first and most common cancer in women and represents the leading cause of female cancer death. To treat cancer, the treatment that is giving more results is the conventional poly-chemotherapy with numerous other substances that have specific action, called target therapy. During the treatment of breast cancer, chemotherapy drugs lead to the frequent detection of side effects, first of all, the Oral Mucositis. Oral mucositis (OM) is a common in cancer therapy, found in a percentage of 15-40%, and cause severe sequelae and strong impact on a patient’s quality of life (QoL), health care costs, and ultimately outcome by influencing the treatment dose. There are some and limited therapeutic options to help reduce the severity of OM. Our study evaluated the action of a mix of natural supplements (swallowable solution, Orasol plus®, for reduction of mucositis during chemotherapy, with Lapacho (Tabebuia Avellanedae Lorentz ex Griseb.), Camellia Sinensis L. Kuntze, Calendula Officinalis L, Malva Sylvestris L, Sisymbrium Officinale (L) Scop, Plantago Major L e Propoli) in 15 breast cancer patients under treatment with chemotherapy and target therapy. No patients had stopped the treatment because of mucositis. From 11 patients that have mucositis during treatment, 5 had complete remission at the and of the first cycle in the 4 patients who took Orasol Plus®, as a preventive measure, none developed mucositis during antiblastic treatments. The data of our study depose for the effectiveness of Orasol Plus® in the treatment of oral mucositis, in patients undergoing chemotherapy for breast cancer. They need a larger study to insert Orasol Plus® in a standardized pathway in the treatment of oral mucositis during chemotherapy.
Shape memory alloys honeycomb: design and properties

This work illustrates the design, manufacturing and tensile testing of a novel concept of honeycomb structure made of shape memory alloy (SMA) core material. The honeycomb is manufactured using SMA Nitinol ribbons inserted in a special dye and using cyanoacrilate to bond the longitudinal strips of the unit cells. Analytical and Numerical FE models of the ribbons are developed to predict the homogenized properties and the overall tensile test behavior of the honeycomb sample. Good agreement is observed between numerical nonlinear simulations and experimental results carried out at room temperature (martensite phase).
Estimation of Potential Evapotranspiration from NOAA-AVHRR Satellite

Potential evapotranspiration is widely used by farmers and hydrologists as a measure for determining actual evapotranspiration for irrigation scheduling, drought monitoring, hydrologic modeling and regional water balance studies. In the present study a comprehensive methodology has been developed for estimating reference crop (Grass) ET using Penman–Monteith combination equation from Advanced Very High Resolution Radiometer (AVHRR) for Texas at a spatial resolution of 1 km2. As part of this study 282 NOAA–14, AVHRR satellite images acquired between May 1999 to August 2000 and weather data measured at several weather stations across Texas were analyzed. Regression relationships were developed to calculate the weather parameters maximum air temperature and vapor pressure deficit from satellite’s infrared surface temperature. The regression relationships were validated using independent weather station observations. The root mean square error (RMSE) of daily ET calculated using these weather parameter estimates was within . 1.1 mm day–1 when compared to ET derived from ground–based weather station measurements of climatic variables.
Influence of Package-Sink Interface Materials on Die Performance and Reliability

For high-power electronic packages, it is generally accepted that the package-sink interface materials used in the thermal solution influence hot-spot temperature(s) and junction-to-ambient thermal resistance. In this article we show how these package-exterior materials can noticeably influence across-die temperature gradients also. The numerical results reveal that the across-die thermal gradient can nearly double over a narrow range of conductivities typical of commercially available package-sink interface materials. Results show that the chip hot-spot temperature can be reduced 4 to 7 C by increasing the thermal interface material conductivity from 1 to 3 W/mk. This improvement can reduce the total thermal resistance from chip to ambient.Copyright © 2003 by ASME
Influence of system configuration on a ratiometric wavelength measurement system

The influence of the spectral response of the optical source, the signal-to-noise ratio (SNR) of the FBG and the slope of the edge filter used within a ratiometric wavelength measurement system was investigated based on three system configuration cases: (1) the reflected FBG signal passes through both the reference arm and the edge filter arm, (2) the reflected FBG signal is connected directly to the edge filter arm and does not pass through the reference arm, (3) the edge filter sits in-line with the FBG and thus the source power is filtered prior to reaching the FBG. Both numerical simulations and experimental results show that cases 1 and 2 have a similar system performance whilst case 3 is the configuration which is shown to offer the highest wavelength resolution.
Comparison of Single and Ensemble Intrusion Detection Techniques using Multiple Datasets

The advancement of Internet of Things (IoT) technology raises numerous security concerns, as new threats emerge every day. Prior to preventing these threats, they must be detected. This makes intrusion detection a major priority. However, datasets play a significant role in intrusion detection. The dataset used to evaluate machine learning-based solutions has an effect on their accuracy. Most of the time, these datasets do not accurately reflect real network traffic and contains lots of redundant and irrelevant features that undermine Intrusion Detection System (IDS) efficiency. Motivated by the above, our work focuses on extracting the most relevant features from four datasets namely CICIDS2017, IoTID20, NSL-KDD and N-BaIoT datasets using information gain approach. Then we evaluated and compared some single and ensemble classifiers based four important performance metrics. Finally, these algorithms were combined in an ensemble learner to see how well they performed. Our findings are considered to be relevant in the combination of strong classification algorithms in the development of IDS systems and experimental results indicates that feature selection can yield better accuracy.
Characteristics of generalized rectangular and circular ridge waveguides

Generalized ridge waveguides are analyzed using the mode-matching method. The characteristic impedance, attenuation, and power-handling capability of several types of ridge rectangular waveguides and ridge circular waveguides are presented. Numerical results are obtained, which are useful in the design of many microwave components and subsystems.
Modularity as an Entry Strategy: The invasion of new niches in the LAN equipment industry

This paper focuses on niche entry patterns in the LAN equipment industry in the 1990s. We analyze an original data-set of LAN equipment consisting of more than 1,000 hubs and switches marketed between 1990 and 1999. Modularity emerged as a design strategy that supported incumbent firms’ efforts to enter new product niches in the hub segment. However, after the emergence of switches as an alternative to hubs, coupled with the introduction of a new standard, incumbents relying on a modular hub strategy were overtaken by a new comer (Cisco). Moreover, the fastest followers were incumbents that had not previously relied on modular hub architectures. Our interpretation is as follows: modularity offers advantages of speed when changes occur within established boundaries. However, it also generates a ‘tunnel effect’ that prevents firms from developing products based on different problem-solving strategies. Such changes are more easily introduced by firms that do not rely on tightly-defined modular design rules.
Stem taper estimates based on airborne laser scanning and cut-to-length harvester measurements for pre-harvest planning

The objective of this study was to validate the use of stem measurement data from cut-to-length (CTL) harvesters and tree height and density data from airborne laser scanner (ALS) to predict product recovery. Comparisons were made between three ALS-based inventory methods: (1) LaserSTM (ALS combined with CTL-harvester measurements); (2) LaserDBH (ALS combined with field-plot measurements); and (3) LaserAVG (ALS stand-average estimates). The prognosis of product recovery was based on bucking simulations. Forest data from a Swedish test site were used in the study and included 17 forest stands. All stands were evaluated at the sub-stand level, with seven of the stands also being evaluated at the stand level. The focus of the validation was on the geometry of the trees. Tree species and stem defects were not considered in the prediction of product recovery. The diameter distributions of logs were evaluated using the Reynolds error index. Using 2 cm classes, the error indices were 0.16, 0.22, and 0.21 for LaserSTM, LaserDBH, and LaserAVG respectively. With 1 cm classes, these figures were 0.21, 0.28, and 0.39. In the Swedish case, where stem taper functions are available, the stem taper information from the harvester seems to have a limited contribution to the accuracy of volume estimates for different product groups. However, the estimates of log diameter distributions are being improved based on more detailed description of the trees. The results shows that stem measurements from CTL harvesters can replace labor-intensive field-plot measurements as training data for pre-harvest inventory models based on ALS data.
Survival Factor A (SvfA) Contributes to Aspergillus nidulans Pathogenicity

Survival factor A (SvfA) in Aspergillus nidulans plays multiple roles in growth and developmental processes. It is a candidate for a novel VeA-dependent protein involved in sexual development. VeA is a key developmental regulator in Aspergillus species that can interact with other velvet-family proteins and enter into the nucleus to function as a transcription factor. In yeast and fungi, SvfA-homologous proteins are required for survival under oxidative and cold-stress conditions. To assess the role of SvfA in virulence in A. nidulans, cell wall components, biofilm formation, and protease activity were evaluated in a svfA-gene-deletion or an AfsvfA-overexpressing strain. The svfA-deletion strain showed decreased production of β-1,3-glucan in conidia, a cell wall pathogen-associated molecular pattern, with a decrease in gene expression for chitin synthases and β-1,3-glucan synthase. The ability to form biofilms and produce proteases was reduced in the svfA-deletion strain. We hypothesized that the svfA-deletion strain was less virulent than the wild-type strain; therefore, we performed in vitro phagocytosis assays using alveolar macrophages and analyzed in vivo survival using two vertebrate animal models. While phagocytosis was reduced in mouse alveolar macrophages challenged with conidia from the svfA-deletion strain, the killing rate showed a significant increase with increased extracellular signal-regulated kinase ERK activation. The svfA-deletion conidia infection reduced host mortality in both T-cell-deficient zebrafish and chronic granulomatous disease mouse models. Taken together, these results indicate that SvfA plays a significant role in the pathogenicity of A. nidulans.
An empirical investigation of Six Sigma implementation in medium scale Indian automotive enterprises

This research paper explores the status and imminent factors for evaluating the feasibility of implementing Six Sigma in medium scale Indian automotive industry. The research methodology, designed using quantitative approach, reports 30 medium scale automobile enterprises started implementing Six Sigma during survey range of 2009? 2010 from west India. The research finding shows diversified practices of traditional quality initiatives, e.g. ISO 9000, total quality management, Kaizen, etc. over Six Sigma as well as various rationale of poor implementation of Six Sigma in manufacturing sectors of Indian automotive industry. Comparative data analysis of the research will cumulatively elaborate various parameters, e.g. Six Sigma training programmes, initiatives from top management, methodologies of Six Sigma in practice, various performance metrics of Six Sigma projects, quality tools in practice, as well as various reasons for not implementing Six Sigma within small and medium enterprise. The results obtained are the insight of implementing Six Sigma in medium scale Indian automotive sector.
Hydrogen in tungsten trioxide by membrane photoemission and density functional theory modeling

The measurement of hydrogen-induced changes in the electronic structure of transition metal oxides by x-ray photoelectron spectroscopy is a challenging endeavor, since no photoelectron can be unambiguously assigned to hydrogen. The H-induced electronic structure changes in tungsten trioxide have been known for more than 100 years but are still controversially debated. The controversy stems from the difﬁculty in disentangling effects due to hydrogenation from the effects of oxygen deﬁciencies. Using a membrane approach to x-ray photoelectron spectroscopy, in combination with tunable synchrotron radiation, we measure simultaneously core levels and the valence band up to a hydrogen pressure of 1000 mbar. Upon hydrogenation, the intensities of the W 5 + core level and a state close to the Fermi level increase following the pressure-composition isotherm curve of bulk H x WO 3 . Combining experimental data and density functional theory, the description of the hydrogen-induced coloration by a proton polaron model is corroborated. Although hydrogen is the origin of the electronic structure changes near the Fermi edge, the valence band edge is now dominated by tungsten orbitals instead of oxygen as is the case for the pristine oxide, having wider implications for its use as a (photoelectrochemical) catalyst.
Vehicle Face Re-identification Based on Nonnegative Matrix Factorization with Time Difference Constraint

Light intensity variation is one of the key factors which affect the accuracy of vehicle face re-identification, so in order to improve the robustness of vehicle face features to light intensity variation, a Nonnegative Matrix Factorization model with the constraint of image acquisition time difference is proposed. First, the original features vectors of all pairs of positive samples which are used for training are placed in two original feature matrices respectively, where the same columns of the two matrices represent the same vehicle; Then, the new features obtained after decomposition are divided into stable and variable features proportionally, where the constraints of intra-class similarity and inter-class difference are imposed on the stable feature, and the constraint of image acquisition time difference is imposed on the variable feature; At last, vehicle face matching is achieved through calculating the cosine distance of stable features. Experimental results show that the average False Reject Rate and the average False Accept Rate of the proposed algorithm can be reduced to 0.14 and 0.11 respectively on five different datasets, and even sometimes under the large difference of light intensities, the vehicle face image can be still recognized accurately, which verifies that the extracted features have good robustness to light variation.
A model‐based fault detection and diagnosis strategy for HVAC systems

A strategy of fault detection and diagnosis (FDD) for HVAC sub‐systems at the system level is presented in this paper. In the strategy, performance indices (PIs) are proposed to indicate the health condition of different sub‐systems including cooling tower system, chiller system, secondary pump systems before heat exchangers, heat exchanger system and secondary pump system after heat exchangers. The regression models are used to estimate the PIs as benchmarks for comparison with monitored PIs. The online adaptive threshold determined by training data and monitored data is used to determine whether the PI residuals between the estimation and calculation or monitoring are in the normal working range. A dynamic simulation platform is used to simulate the faults of different sub‐systems and generate data for training and validation. The proposed FDD strategy is validated using the simulation data and proven to be effective in the FDD of heating, ventilating and air‐conditioning (HVAC) sub‐systems. Copyright © 2009 John Wiley & Sons, Ltd.