Miracle-dz/UniFAR-FTUs huggingface dataset:
Occupancy-Driven Energy-Efficient Buildings Using Audio Processing with Background Sound Cancellation

Demand-driven HVAC (heating, ventilation, and air conditioning) operation is essential in occupant-oriented smart buildings, where the levels of heating, cooling, and ventilation are intelligently regulated to avoid energy waste. Despite the great potential of building energy efficiency, one of the remaining technical challenges is how to accurately estimate building occupancy information in real time. In this paper, this design challenge is addressed. An advanced audio-processing technique is adopted that minimizes the impacts of environmental sounds on the recorded voice sounds of humans. Adopted mathematical modeling and signal processing procedures are elaborated in this work. Experimental studies show that our proposed audio processing with background sound cancellation algorithm improves the estimation accuracy of room occupancy quantity by approximately 11–12%, which results in an averaged ventilation energy reduction of 3.54% compared to the case of not applying background sound cancellation. The proposed audio-processing technique is promising to achieve non-intrusive, cost-effective, robust, and accurate solutions for building occupancy estimation.
A Review: Detecting Frauds in Credit Card Using Best Machine Learning Techniques

: Now-a-days online transactions have become essential component of our lives. Also financial fraud is an ever growing menace with far results in financial industry, government and corporate organizations. Fraud can be defined as criminal deception with intent of learning financial gain. Credit card frauds are comfortably targets by fraudsters. As e-commerce and several other online sites have enhanced the online payment transactions, increases the risk for online frauds. Credit card fraud generally happens when the card was stolen for any of the unauthorized aims, or even when the fraudster utilizes the credit card information for his use. Therefore in the introduces world, we’re experiencing a lots of credit card problems. To decrease fake transactions, machine acquiring algorithmic program savor Naive Bayes, Logistic Regression, J48, AdaBoost and Random Forest, etc. are discussed. Similar set of Algorithmic program are implemented and tested utilizing an online dataset. The work implemented in Java. The performance based on the accuracy and low false positive rate. Over comparative study, it has the ability to be concluded that Naive Bayes and Random Forest algorithmic program are compose greater in credit card fraud detection in spite of other algorithm.
P2Y12 inhibitor pretreatment in patients with nonST-segment elevation acute coronary syndrome: A meta-analysis

Background: The 2020 European Society of Cardiology guidelines do not recommend pretreatment for nonST-segment elevation myocardial infarction (NSTEMI) patients with unclear coronary anatomy, which is inconsistent with our routine preoperative approach to loading P2Y12 receptor inhibitors (e.g., preoperative loading of 300 mg of clopidogrel). Objectives: The purpose of our study was to compare the safety and effectiveness of P2Y12 inhibitors administered before coronary angiography or at least before percutaneous coronary intervention (PCI) with during or after PCI. Methods: Cochrane, PubMed, and Embase databases were searched. The primary effect endpoint and safety endpoint were any-cause death and major bleeding, respectively. Major adverse cardiovascular events, myocardial infarction and revascularization were also analyzed. Results: Our search identified 9 trials. P2Y12 inhibitor pretreatment was associated with lower death from any cause (OR 0.62, 95% CI 0.53–0.72, P < 0.00001) without increasing the risk of bleeding (OR 1.02, 95% CI 0.80–1.30, P = 0.89). However, prasugrel or ticagrelor pretreatment was not associated with a lower risk of mortality (OR 0.70, 95% CI 0.31–1.59, P = 0.40) and increased the risk of bleeding (OR 1.67, 95% CI 1.10–2.54, P = 0.02). Conclusions: In summary, clopidogrel pretreatment was associated with significantly lower mortality, major adverse cardiovascular events, myocardial infarction and revascularization with no increase in major bleeding. However, these advantages were not observed with prasugrel or ticagrelor pretreatment.
Comparison of radiation exposure to physicians between anteroposterior and lateral real-time fluoroscopy when performing lumbar transforaminal epidural steroid injections: A randomized controlled trial

Background: Lumbar transforaminal epidural steroid injections are used widely to alleviate low back radicular pain, but it requires real-time fluoroscopy, which can increase the risk of radiation exposure. Anteroposterior or lateral real-time fluoroscopy can be used during lumbar transforaminal epidural steroid injections, but there have been no comparative studies on the exposure of physicians to radiation from anteroposterior or lateral real-time fluoroscopy. The aim of this study was to compare the cumulative radiation exposure to each body part of the physician according to the method of real-time fluoroscopy when performing lumbar transforaminal epidural steroid injections. Methods: A single physician performed lumbar transforaminal epidural steroid injections, and 2 groups of patients were formed based on the method used: group A (anteroposterior real-time fluoroscopy) and group L (lateral real-time fluoroscopy). Dosimeters were placed outside the chest, inside the chest, outside the thyroid collar, inside the thyroid collar, outside the groin, inside the groin, outside the lead gloves, and left rim of the glasses. Results: A total of 200 lumbar transforaminal epidural steroid injections were analyzed, and the radiation exposure was measured by cumulative dose equivalents in mSv. The dose equivalents were lower at every level in group A compared with group L except for outside the groin. Conclusions: The cumulative radiation exposure at all the measurement sites was lower for anteroposterior real-time fluoroscopy compared with lateral real-time fluoroscopy when performing lumbar transforaminal epidural steroid injections, except for outside the groin.
Knowledge-Based Cataloguing of Deep Multi-Wavelength Cosmological Surveys

I developed an expert data processing pipeline to improve the quality of the astronomical multi-colour galaxy catalogues. This pipeline acts in three main areas: (1) rening surface brightness measurements, (2) agging contaminated sources, and (3) improving the crossmatching of galaxies by modelling their colours. In order to develop this expert system, we start by building the knowledge model of entities and tasks involved and, as the result of this, we populate an ontology with instances of these classes. This ontology was created in line with the existing ones of the International Virtual Observatory Alliance(IVOA) initiative which intends to unify the Astronomy data models used across the scientic community. We achieved this goal through the use of articial intelligence methodologies. We used Bayesian model decision, active contour from Articial Vision and rule-based systems, all three of these methodologies are integrated into a single modular expert system versatile and exible enough to be used partially or entirely as a module of another processing system, as well as an input for a rened IVOA ontology. We performed a validation of the system with synthetic data and real astronomical images and catalogues from the Cosmic Evolution Survey (COSMOS). The outcome of this step conrmed the validity of our proposal. The results on a reduced but representative COSMOS data set conrmed that the photometric cross matching solution and the labelling of sources to determine their contamination status is a signicant improvement with respect to the existing methodologies. Regarding the renement of source contours, the experiment conducted with synthetic data as well as the results on real data demonstrated that this methodology is more exible in the determination of contours and it allows a good degree of automatism; however the computational cost and the observed lack of certainty for all cases indicates that this proposal needs further development. Overall it can be concluded that our system constitutes a significant advance in the cataloguing of galaxies in multi-band image cubes. We achieved this with an expert system that can be run without much human supervision.
Peer Review Karya Ilmiah Jurnal dengan judul: Face Recognition System on Android using Eigenface Method

Face recognition is a biometric technology that can be applied to the various fields in terms of human identity. The continued development of technology, face recognition is also adopted in the latest technologies such as android devices are applied to complete the job. In this paper, demonstrates the face recognition system in android device using eigenface. The system can be used as the base for the development of android applications such as android mobile security application and as an archive for the recognition of human identity. The experiment of face recognition system in this paper uses 50 facial images as test images. Test images and training images are taken directly with the camera in android device with a distance of face shooting is 60 cm. The test results showed that the system produces high accuracy with a success rate reaches 94,48% with FMR = 2,52% and FNMR = 3%.
A Novel Learning Algorithm Based on Bayesian Statistics: Modelling Thermostat Adjustments for Heating and Cooling in Buildings

The temperature of indoor spaces is at the core of highly relevant topics such as comfort, productivity and health. In conditioned spaces, this temperature is determined by thermostat preferences, but there is a lack of understanding of this phenomenon as a time-dependent magnitude. In addition to this, there is scientific evidence that the mental models of how users understand the operation of the billions of air-conditioning machines around the world are incorrect, which causes systems to ‘compensate’ for temperatures outside by adjusting the thermostat, which leads to erratic changes on set-points over the day. This paper presents the first model of set-point temperature as a time-dependent variable. Additionally, a new mathematical algorithm was developed to complement these models and make possible their identification on the go, called the life Bayesian inference of transition matrices. Data from a total of 75 + 35 real thermostats in two buildings for more than a year were used to validate the model. The method was shown to be highly accurate, fast, and computationally trivial in terms of time and memory, representing a change in the paradigm for smart thermostats.
Regulation of nitric oxide treatment in the biosynthesis of aroma volatiles in peach fruit during storage.

Background. Nitric oxide (NO) is an important signaling molecule which could regulate different aspects of fruit ripening and senescence. However, the effects of NO treatment on the aroma volatiles of postharvest peaches is rarely reported. Materials and methods. In the present study, ‘Xiahui 6’ peaches were fumigated with 10 µL·L –1 NO for 3 h, then stored at 20°C for 9 days. Fruit firmness, SSC, TA, ethylene production, the content of fatty acids and aroma volatiles, and related gene expression were evaluated during storage. Results. Nitric oxide significantly maintained higher fruit firmness, SSC and TA at the end of storage, thus maintaining higher fruit quality. The gene expression of PpACS1/3 , PpACO were significantly depressed in NO-treated peaches, which resulted in the reduction of ethylene production. In addition, NO treatment delayed the decline of C6 volatiles, inhibited the formation of esters and lactones supported by a lower expression level of PpLOX3/4 , PpAAT1/2 , PpACX1/2/3/4 , PpFAD1/3 and a higher transcript abundance of PpLOX2 , PpHPL1 , PpADH1 . Additionally, the content of PA, SA, OA, LA and LeA reduced in response to NO treatment during the second half of storage, accompanied by a lower mRNA level in PpFAD1/2/3 . Conclusions. The effects of NO on peach aroma volatiles during storage were novel among the study of NO in peaches. In this study, NO maintained higher fruit quality, delayed the ripening and senescence of peach fruit after harvest. For aroma volatiles, NO maintained higher levels of C6 volatiles and reduced the content of esters and lactones in peaches, as well as the content of PA, SA, OA and LeA. These results together suggest that the effects of NO on peach aroma volatiles are a result of the regulation of genes related with the biosynthesis of aroma compounds, ethylene and fatty acids.
Identification of Type-H-like Blood Vessels in a Dynamic and Controlled Model of Osteogenesis in Rabbit Calvarium

Angiogenesis and bone regeneration are closely interconnected processes. Whereas type-H blood vessels are abundantly found in the osteogenic zones during endochondral long bone development, their presence in flat bones’ development involving intramembranous mechanisms remains unclear. Here, we hypothesized that type-H-like capillaries that highly express CD31 and Endomucin (EMCN), may be present at sites of intramembranous bone development and participate in the control of osteogenesis. A rabbit model of calvarial bone augmentation was used in which bone growth was controlled over time (2–4 weeks) using a particulate bone scaffold. The model allowed the visualization of the entire spectrum of stages throughout bone growth in the same sample, i.e., active ossification, osteogenic activity, and controlled inflammation. Using systematic mRNA hybridization, the formation of capillaries subpopulations (CD31–EMCN staining) over time was studied and correlated with the presence of osteogenic precursors (Osterix staining). Type-H-like capillaries strongly expressing CD31 and EMCN were identified and described. Their presence increased gradually from the regenerative zone up to the osteogenic zone, at 2 and 4 weeks. Type-H-like capillaries may thus represent the initial vascular support encountered in flat bones’ development and which organize osteogenic niches.
Wideband Electromagnetic Distribution Characterization and Dielectric Analysis of Shielded-Pair Through-Silicon Via Using Recursive Approximation Algorithm

The shielded-pair through-silicon vias (SPTSVs) proposed in this paper feature superior transmission properties and high jamming immunity suitable for differential-mode and common-mode transmissions. Based on the recursive approximation algorithm, a novel and efficient method for characterizing the electromagnetic-temperature distribution in dielectrics is proposed for SPTSVs. In addition, considering the proximity effects and eddy current effect in substrate, the ultrabroadband parasitic admittance and electrical coupling models are derived based on 2-D time-varying field and transient polarization mechanism. The collaborative finite-element analysis shows that the proposed model highly agrees with the 3-D full-wave simulation (HFSS 14.0 and Maxwell v16) and the analytical calculation. Then, the dielectric relaxation properties for substrate and oxide are deeply characterized with different design parameters. Finally, the impacts of the substrate effect on electrical characteristics of SPTSVs are revealed.
Distribution System Planning Considering Stochastic EV Penetration and V2G Behavior

The increasing integration of electric vehicles (EVs) is adding higher future potentials for the smart grid because the residual energy stored in EV batteries can be discharged to support the grid when needed. However, the stochasticity of EV user behaviors pose challenges to the regulators of distribution systems. How the regulators decide upon a control strategy for the vehicle to grid and how EV users respond to the strategy will significantly influence the variation of load profiles in the planning horizon. In this paper, a comprehensive cost analysis is performed to obtain the optimal planning scheme, considering the variation in EV penetration, charging preference, and customer damage cost. The economics and stability of the planned distribution system are assessed with real-world travel records and cost statistics to quantitatively show the effectiveness of the optimization algorithm and the importance of user behavior concern.
Application of Autonomous Robots for Health Monitoring of Structures, A Review

MONITORING OF STRUCTURES: A REVIEW SHALINI R NAIR , SHYAM R NAIR 2 & JESSY ROOBY Assistant Professor, Department of Civil Engineering , Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India Assistant Professor, Centre for Automation and Robot ics, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India Professor, Department of Civil Engineering, Hindusta n Institute of Technology and Science, Chennai, Tamil Nadu, India ABSTRACT
Focusing on Patient-outcome performance 1 measures of Active and Passive Implants – A 2 Systematic Review

Motivation Active implantable electronic medical devices are used in different fields of medicine, in 10 particular cardiology and neurology. Several papers have been published over the years 11 comparing the technical performance of implants between leading manufactures. However, no 12 such comparison has been done with respect to “Patient-Reported Outcomes“ (PROs) for most 13 implant types, despite its importance in evaluating the quality of a medical device. With the 14 recent update of the European Union’s (EU) regulation on public procurement towards value- 15 based medicine, it has become beneficial for manufacturers to focus more on PROs to 16 differentiate their products in order to create a marketing leverage. Most importantly, 17 investigating PROs can assist shared decision-making, support pharmaceutical labelling claims 18 and influence healthcare policy and practice. Due to this the review aims to showcase the lack 19 NOTE:
Indicative Factors of Reservoir Sensitivity Based on Pre - stack Inversion

With the deepened exploration and development of petroleum, pre-stack inversion can predict reservoir and petroleum distribution by extracting elastic parameters by virtue of the gathers. Because of the abundant information, pre-stack inversion has gradually become a focus of research. Existing studies indicate that pre-stack amplitude variation with angle simultaneous inversion has a favourable application effect in conventional shallow sandstone gas reservoirs, but has poor impact in deeply hidden-type reservoirs. For improved the precision of description and prediction of hidden-type reservoirs, the Shahejie Formation in the Gangbei District of the Gangzhong Oil Field was used as an example, and a method of predicting complicated structure-lithology reservoir based on improved Fatti reflection coefficient approximation formula was proposed in this study. Based on petrophysical analysis and coordinate transformation theory, with elastic parameters which were obtained by the new technology, the indicative factors of reservoir sensitivity were established, resulting in forming a series of accurate reservoir prediction methods. Results show that the improved inversion method can accurately describe sand bodies in a complicated structure-lithology reservoir. Indicative factors of reservoir sensitivity show favourable linear correlation with sand bodies and it can indicate reservoir distribution more effectively than the conventional method. Prediction results are in agreement with actual drilling results. The study provides a theoretical reference for identifying complicated structure-lithology reservoirs.
It strategic alignment as an enabler of mass customization in an automotive company

Mass Customization strategy aims to provide products that are individually designed to meet customers’ demand. A key part of this process is to understand what customers´ preferences are and transform them into value-added products and servvices. In this context, information technology (IT) can be a key enabler of this strategy, establishing the interface between customer and organization. Through a case-based research approach in an automotive company, the present article investigated how IT systems, particularly internet-based solutions that interact with the consumer, enhanced the capacity to offer customized products. The influence of the alignment between IT and business strategies were also analyzed. The results showed that even in cases in which customization occurs just in the final stages of the production process, IT plays an essential role to enhance sales performance through a better elaboration of catalogues of alternatives that better fits customers’ preferences and needs. Palavras-chaves: Mass customization, Automotive Company, Information Technology, Customer´s Preferences, Alignment
Modal formulas are either elementary or not ΣΔ-elementary

In this paper we prove that if L is a set of modal propositional formulas then FR(L) (the class of all frames in which every formula of L holds) is elementary, Δ-elementary or not ΣΔ-elementary. For single modal formulas the second of these cases does not occur. The model theoretic terminology and results used here are from [1]. (The underlying first order language contains only one, binary, predicate letter in addition to the identity symbol.) We presuppose familiarity with the usual notions and notations of propositional modal logic. A structure for our first order language is called a frame. (So a frame is an ordered couple 〈W, R〉 with domain W and R a binary predicate on W, i.e. a subset of W × W.) A valuation V on F is a function from the set of proposition letters to the power set of W. Using the well-known Kripke truth definition V can be extended to a function from the set of all modal propositional formulas to the power set of W. A modal propositional formula φ holds in a frame F (= 〈W, R〉) if, for all V on F, V(φ) = W. Notation: FR(φ) for the class of all frames in which φ holds. For a set L of modal propositional formulas we define FR(L) as ⋂φ∈L FR(φ). Obviously both FR(L) and cFR(L) (the complement of FR(L)) are closed under isomorphisms.
Holiday Fast-Track Reduced Medical Cost and Length of Emergency Department Stay: Preliminary Report from a Single Secondary Care Hospital

Introduction The aims of this study were to compare the effect of a Holiday Fast-Track (HFT) unit on medical costs and emergency department (ED) length of stay (LOS) associated with low acuity patients attended during the same timeframe in two consecutive years in a single secondary care hospital ED. Methods Two groups (non-HFT vs. HFT), before and after the fast-track unit was implemented, were compared. The HFT unit was operated to improve the flow of low acuity patients, which were defined as the patients classified as level 4 or 5 by the modified Canadian Triage and Acuity Scale. Data were collected from March 1 to April 30, 2011 for the non-HFT group and during the same period in 2012 for the HFT group. Results A total of 894 (431 for non-HFT period and 463 for HFT period) patients of acuity level 4 or 5 visited the ED during the study period. Compared to the non-HFT group, the ED LOS of the HFT group decreased by 27 min and 3.5 min in the patients with acuity levels 4 and 5, respectively (p=0.005 and p=0.003, respectively). Furthermore, total medical costs and laboratory fees were also reduced significantly in the HFT group (p<0.001, p=0.038). However, there was no difference in the other variables between those two groups. Conclusions The HFT system decreases the medical costs and LOS in low acuity patients visiting the ED of a secondary care hospital. (Hong Kong j.emerg.med. 2015;22:84-92)