Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow

Conventionally, most traffic forecasting models have been applied in a static framework in which new observations are not used to update model parameters automatically. The need to perform periodic parameter reestimation at each forecast location is a major disadvantage of such models. From a practical standpoint, the usefulness of any model depends not only on its accuracy but also on its ease of implementation and maintenance. This paper presents an adaptive parameter estimation methodology for univariate traffic condition forecasting through use of three well-known filtering techniques: the Kalman filter, recursive least squares, and least mean squares. Results show that forecasts obtained from recursive adaptive filtering methods are comparable with those from maximum likelihood estimated models. The adaptive methods deliver this performance at a significantly lower computational cost. As recursive, self-tuning predictors, the adaptive filters offer plug-and-play capability ideal for implementation in real-time management and control systems. The investigation presented in this paper also demonstrates the robustness and stability of the seasonal time series model underlying the adaptive filtering techniques.
ANALISIS PEMILIHAN CLUSTER OPTIMAL DALAM SEGMENTASI PELANGGAN TOKO RETAIL

Saat ini pemanfaatan data menjadi fokus dalam bidang pemasaran khususnya untuk menyusun strategi. Agar strategi pemasaran bisa tepat sasaran dibutuhkan segmentasi pelanggan. Data mining khususnya clustering mampu membantu proses segmentasi pelanggan. Dalam penelitian ini, data mining diimplementasikan untuk segmentasi pelanggan UD. XYZ dengan metode K-Means, K-medoids, dan Means. Tujuan penelitian ini adalah mencari metode dan nilai k terbaik yang dihasilkan dari tiga metode clustering. Penelitian ini menyajikan proses Data Mining dengan menggabungkan model RFM dengan algoritma clustering K-Medoids, X-Means, dan K-Means. Dataset yang telah diimplementasikan ke dalam model RFM digunakan sebagai bahan pengolahan data. Data transaksi dengan jumlah 153.492 diimplementasikan ke dalam model RFM menjadi 10.145 data untuk dilakukan identifikasi pelanggan potensial. Inisialisasi cluster awal pada metode K-Medoids, X-Means, dan K-Means dilakukan secara random. Nilai k dalam penelitian ini diinisialisasi dari 1 sampai 10. Nilai k diimplementasikan secara berulang dan dihitung validasi cluster menggunakan metode David Bouldin Index (DBI) dan jaraj rata-rata cluster dengan centroid. Hasil penelitian menunjukkan K-medoids memiliki nilai validitas yang lebih baik dibandingkan dengan X-Means dan K-Means. Rata-rata nilai DBI yang dihasilkan metode K-Medoids adalah 0,540778. Jumlah cluster terbaik yang dihasilkan adalah 5 cluster, hal ini ditentukan dengan mempertimbangkan jumlah persebaran data pada k = 5 yang menghasilkan nilai sama pada metode K-Medoids, X-Means, dan K-Means. Tingkatan pelanggan yang terbentuk adalah About To Sleep, Customer Needing Attention, Recent Customer, Potential Loyalist, dan Loyal Customers.
Land Cover and Land Use Change Decreases Net Ecosystem Production in Tropical Peatlands of West Kalimantan, Indonesia

Deforested and converted tropical peat swamp forests are susceptible to fires and are a major source of greenhouse gas (GHG) emissions. However, information on the influence of land-use change (LUC) on the carbon dynamics in these disturbed peat forests is limited. This study aimed to quantify soil respiration (heterotrophic and autotrophic), net primary production (NPP), and net ecosystem production (NEP) in peat swamp forests, partially logged forests, early seral grasslands (deforested peat), and smallholder-oil palm estates (converted peat). Peat swamp forests (PSF) showed similar soil respiration with logged forests (LPSF) and oil palm (OP) estates (37.7 Mg CO2 ha−1 yr−1, 40.7 Mg CO2 ha−1 yr−1, and 38.7 Mg CO2 ha−1 yr−1, respectively), but higher than early seral (ES) grassland sites (30.7 Mg CO2 ha−1 yr−1). NPP of intact peat forests (13.2 Mg C ha−1 yr−1) was significantly greater than LPSF (11.1 Mg C ha−1 yr−1), ES (10.8 Mg C ha−1 yr−1), and OP (3.7 Mg C ha−1 yr−1). Peat swamp forests and seral grasslands were net carbon sinks (10.8 Mg CO2 ha−1 yr−1 and 9.1 CO2 ha−1 yr−1, respectively). In contrast, logged forests and oil palm estates were net carbon sources; they had negative mean Net Ecosystem Production (NEP) values (−0.1 Mg CO2 ha−1 yr−1 and −25.1 Mg CO2 ha−1 yr−1, respectively). The shift from carbon sinks to sources associated with land-use change was principally due to a decreased Net Primary Production (NPP) rather than increased soil respiration. Conservation of the remaining peat swamp forests and rehabilitation of deforested peatlands are crucial in GHG emission reduction programs.
Suppression of Electrographic Seizures Is Associated with Amelioration of QTc Interval Prolongation in Patients with Traumatic Brain Injury

Introduction: Disorders in electroencephalography (EEG) are commonly noted in patients with traumatic brain injury (TBI) and may be associated with electrocardiographic disturbances. Electrographic seizures (ESz) are the most common features in these patients. This study aimed to explore the relationship between ESz and possible changes in QTc interval and spatial QRS-T angle both during ESz and after ESz resolution. Methods: Adult patients with TBI were studied. Surface 12-lead ECGs were recorded using a Cardiax device during ESz events and 15 min after their effective suppression using barbiturate infusion. The ESz events were diagnosed using Masimo Root or bispectral index (BIS) devices. Results: Of the 348 patients considered for possible inclusion, ESz were noted in 72, with ECG being recorded in 21. Prolonged QTc was noted during ESz but significantly ameliorated after ESz suppression (540.19 ± 60.68 ms vs. 478.67 ± 38.52 ms, p < 0.001). The spatial QRS-T angle was comparable during ESz and after treatment. Regional cerebral oximetry increased following ESz suppression (from 58.4% ± 6.2 to 60.5% ± 4.2 (p < 0.01) and from 58.2% ± 7.2 to 60.8% ± 4.8 (p < 0.05) in the left and right hemispheres, respectively). Conclusion: QTc interval prolongation occurs during ESz events in TBI patients but both it and regional cerebral oximetry are improved after suppression of seizures.
The Strategic Fit of Community Events Hosted by Charities: Insights from Australia

A charitable organisation fits within the broader category of not-for-profit organisations (NFPs) which operate in a variety of sectors in Australia. As well as seeking to satisfy the demands of the persons in need of their services, many need to target suppliers of necessary operating resources. In an environment of growing competitiveness between NFPs for these resources and in many cases higher government and community expectations for these organisations to satisfy growing demand, many of these NFPs now resort to a number of marketing activities both as a means to increase awareness and as well as source funding and in-kind support. One activity for NFPs is to host a community event. There are calls for research to better understand the hosting of events by NFP organisations. This research identifies some key issues relative to the hosting of events by charities by conducting open-ended interviews with managers of charities. The findings make a contribution towards a greater understanding of events held by charities and NFPs generally and have relevance to managers as well setting an agenda for further research.
INTELLIGENT FAULT DIAGNOSIS OF GEARBOX UNDER RUNNING-UP CONDITION

In this research, a Fuzzy Inference System (FIS) based on features extracted from Gabor order analysis is proposed for detection and classification of faults in the gearbox under running-up condition. The complexity of detecting gear faults at early stages in run-up condition is due to the non-linearity imposed by dynamic signature of gearbox vibration in which non-stationary fault symptoms are present. Therefore, based on a novel idea, a pre-processing step is utilised on extracted features in order for dimension reduction and selection of most sensitive features to the faults. Gabor transform as a utensil of time-frequency analysis is used for detecting non-stationary periods induced by local faults in gearbox. Moreover, time-variant filtering scheme based on Gabor transform-expansion pair is implemented for revealing the problem of speed-varying phase analysis in the gearbox. By applying Gabor transform with relatively high over sampling rate, exact TF representation is achieved. Proper masks for slew orders reconstruction are defined on the obtained Gabor lattice. These masks posses the potential of extracting important and sensitive features. Template scatter matrix would be formed using extracted features on statistical vibration signals for each working condition of the system. Using PCA and Discriminant Analysis, scatter matrix dimension would reduce while good separability between gearbox working conditions is guaranteed. Consequently, FIS is designed based on projected features. The proposed scheme offers high inference ability and alleviation in complex numerical cost. The implementation of proposed method attenuates the number of fuzzy rule sets and results in higher classification performance. Meanwhile, the computation cost decreases without missing crucial information for fault diagnosis. Eventually, experimental investigations of proposed method on statistical data of Yamaha motorcycle gearbox indicates the efficiency of proposed method for classification of impact and wear defects in gearbox.
A Novel Subpixel Size Calibration Method for the Size Detection of Microtarget on Large-Aperture Optics Surface

Large-aperture optics play key roles in the laser beam transmission processes involved in high-power laser facilities. The microtargets (e.g., contaminants, dust, and particles) adhering to the optical surfaces would greatly affect the optical performance and, thus, need to be accurately detected for evaluating the cleanliness quality of optical components. However, due to the limit of camera resolution (the actual size of the target area on the optics surface represented by a single pixel ranges from 50 to 100 <inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula>), it is of great challenge to accurately detect the sizes of tiny microtargets (roughly 20 <inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula>). In this work, a novel subpixel size calibration method based on the regression model and the Mie scattering theory was proposed to precisely calculate the actual sizes of the tiny microtargets. The least-squares support vector machine (LSSVM) principle was applied to establish the area calibration model, and the random sampling consistency (RANSAC) algorithm was applied to optimize the selection of training samples and eliminate the outliers at the same time. The results showed that the relative diameter errors of about 90% of the detected microtargets were less than 30%, which is much better than that of the common pixel-level calibration method. The minimum detectable diameter of the microtargets with the proposed size calibration method can reach <inline-formula> <tex-math notation="LaTeX">$15.8~\mu \text{m}$ </tex-math></inline-formula>, which is much smaller than the resolution (<inline-formula> <tex-math notation="LaTeX">$53.7~\mu \text{m}$ </tex-math></inline-formula>) of commercial cameras. A similar high calibration accuracy can be achieved in different regions on the optical surfaces although the illumination conditions were different. The proposed subpixel size calibration method can be applied to detect the microtargets with dimensions as small as 20 <inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> on the large-aperture reflector surfaces, which would greatly save the cost of detection equipment and improve the detection efficiency.
Control circuit design of the L-LC resonant inverter for induction heating

In this article, the frequency variation control strategy for an induction heating L-LC resonant inverter is analyzed. The control consists of three loops, which are analyzed and reduced to their corresponding small-signal block diagrams. From these diagrams, the optimal structure of the compensation network and the design boundaries for first order closed-loop response are derived. The special case of phase limitation is analyzed because it is unstable in open-loop operation. Finally the implementation of the control circuit is described and experimental results are shown.
SWITCHING OVERVOLTAGES IN A 400-KV CABLE SYSTEM

This paper deals with the computation of switching overvoltages in a 400-kV XLPE cable system that has been in service for several years. A joint failure in that cable system and recorded voltage and current wave- forms by the protective equipment that showed significant temporary overvoltages in another cable route have been the reason to analyze the switching surges in this EHV cable with shunt compensation. The cable model set up has been verified by comparison of field measurements and the digital simulations at first step. The switching surges that have been analyzed are 1) the energization, 2) deener- gization and 3) energization and subsequent deenergiza- tion of the 400-kV cable with the line-side shunt reactor. The overvoltages in the cable have been determined statis- tically by changing circuit-breaker pole closing times according to a distribution function in a statistical manner. It has been shown that in the latter case, 3), critical low- frequency overvoltages may occur, if the already energized cable will be switched off immediately by the malfunction of the protective equipment. Those overvoltages are re- lated closely to the inrush current of the shunt reactor at the moment of current interruption.
Allostery and molecular stripping mechanism in profilin regulated actin filament growth

Profilin is an actin-sequestering protein and plays key role in regulating the polarized growth of actin filament. Binding of profilin to monomeric actin (G-actin) allows continuous elongation at the barbed end (BE), but not the pointed end, of filament. How G-actin exchanges between the profilin-sequestered state and the filament state (F-actin) to support the BE elongation is not well understood. Here, we investigate the involved molecular mechanism by constructing a multi-basin energy landscape model and performing molecular simulations. We showed that the actin exchanging occurs by forming a ternary complex. The interactions arising from the BE binding drive the conformational change of the attached G-actin in the ternary complex from twist conformation to more flatten conformation without involving the change of nucleotide state, which in turn destabilizes the actin–profilin interface and promotes the profilin stripping event through allosteric coupling. We also showed that attachment of free profilin to the BE induces conformational change of the BE actin and facilitates its stripping from the filament. These results suggest a molecular stripping mechanism of the polarized actin filament growth dynamics controlled by the concentrations of the actin–profilin dimer and the free profilin, in which the allosteric feature of the monomeric actin plays crucial role.
Structural fatigue and fracture of shape memory alloy actuators: Current status and perspectives

Shape Memory Alloy (SMA)-actuators are efficient, simple, and robust alternatives to conventional actuators when a small volume and/or large force and stroke are required. The analysis of their failure response is critical for their design in order to achieve optimum functionality and performance. Here, (i) the existing knowledge base on the fatigue and overload fracture response of SMAs under actuation loading is reviewed regarding the failure micromechanisms, empirical relations for actuation fatigue life prediction, experimental measurements of fracture toughness and fatigue crack growth rates, and numerical investigations of toughness properties and (ii) future developments required to expand the acquired knowledge, enhance the current understanding, and ultimately enable commercial applications of SMA-actuators are discussed.
A resource efficient scheme for backhaul‐constrained coordinated multipoint cellular networks

The coordinated multipoint (CoMP) is a promising set of techniques that deals with inter‐cell interference differently than the conventional interference mitigation schemes. This unique approach can effectively mitigate or even exploit the interference, turning it into a useful signal. The CoMP was first introduced in Release‐11 by Third Generation Partnership Project (3GPP) for the fourth generation (4G) long term evolution‐advanced (LTE‐A) systems, enhanced in subsequent releases and recently incorporated as one of the fifth generation (5G) component technologies. In this article, we propose two techniques aiming to improve the performance of existing CoMP schemes. First, we examine the impact of constraint backhaul on the cell coordination and propose an optimal CoMP mechanism that adaptively switches between joint transmission (JT) and coordinated beamforming (CBF) CoMP schemes taking into consideration the average sum rate and the available backhaul capacity. Next, we present a backhaul overhead reduction scheme for CoMP enabled networks, which extends the performance gains of adaptive CoMP scheme. Simulation results suggest that proposed adaptive scheme outclasses conventional CoMP schemes and offers a spectrally efficient solution with increased average user throughput and sum rate.
Calculation of the Parameters of Ridge Waveguides

In this paper an algebraic expression which constitutes an approximation to Cohn's transcendental equation is given for the determination of the dominant-mode cutoff wavelength of ridge waveguides. A modified derivation of Mihran's equation for calculating the characteristic impedance of ridge waveguides is discussed. Based upon these formulas, nomography are constructed to permit the determination of these parameters with sufficient accuracy when the waveguide and the ridge dimensions vary. Experimental verification of the calculated cutoff wavelength is included.
An in-circuit noncontacting measurement method for S-parameters and power in planar circuits

A method for measuring the reflection coefficient and absolute power in the propagating waves from a circuit embedded in a planar circuit environment is presented. The method utilizes a pair of inductive and capacitive probes. The standard one-port vector-network-analyzer calibration is extended to allow the measurement of power in the forward and backward waves. Experimental results are presented for measurements between 700 MHz and 20 GHz. Good agreement between the new noncontacting method and a standard coaxial measurement method is demonstrated up to 12 GHz for power and up to 14 GHz for the reflection coefficient. The method is useful for in-circuit testing of open transmission-line structures, e.g., microstrip.
PERFORMANCE ANALYSIS OF LTE PHYSICAL LAYER BASED ON RELEASE 8&9 THROUGH SIMULINK ENVIRONMENT

Despite their tremendous success over the years, the wire- less technologies are still confronted with some of the criti- cal challenges such as, fading, multipath, and interference and spectrum limitations. To fulfill this, wireless communi- cation industry defined a new air interface for mobile com- munications i.e., LTE, Long Term Evolution is the evolution of the Universal Mobile Telecommunication System. It de- scribes standardization work by the 3rd Generation Partner- ship Project, enhances the overall system performance by increasing the capacity of the system along with improving spectral efficiencies while reducing latencies. In order to achieve above requirements important changes have been required at the physical layer e.g. new modulation and cod- ing schemes, reduced Transmission Time Interval (TTI) or advanced medium access techniques. In this project, the main objective is to investigate a downlink and uplink phys- ical layer performance of Long Term Evolution system based on LTE Release 8, 9.
A wireless, passive strain sensor based on the harmonic response of magnetically soft materials

A wireless, passive strain sensor based on the shift of higher-order harmonic signals of a magnetically soft material is described. The strain sensor consisted of a magnetically soft element, placed over a permanent magnetic element and separated by a deformable layer. As compressive forces were exerted on the strain sensor, the dimension of the deformable layer varied, changing the separation distance between the soft and permanent magnetic elements. This in turn altered the higher-order harmonic field of the magnetically soft element, allowing remote measurement of stress and strain. In the current study, three different types of deformable layers with distinctive material properties were separately incorporated into the sensor. External forces were gradually applied on each sensor and the variations in harmonic signals were measured. The shifts in the magnetic harmonic spectrum of the sensors were linearly correlated with the mechanical alteration. Good stability, linearity and repeatability of the strain sensor were also demonstrated. This passive and wireless sensor is useful for long-term detection of mechanical loading from within an object such as inside a concrete structure or a human body.
A fuzzy FRF analysis of a stiened conical shell structure using an intelligent Kriging based optimisation procedure

Deterministic simulation tools enable a very precise simulation of physical phenomena using numerical models. In many real life situations however, a deterministic analysis is not sucient to assess the quality of a design. In a design stage, some physical properties of the model may not be determined yet. But even in a design ready for production, design tolerances and production inaccuracies introduce variability and uncertainty. In these cases, a non-deterministic analysis procedure is required, either using a probabilistic or a non-probabilistic approach. The authors developed an intelligent Kriging response surface based optimisation procedure that can be used in combination with a deterministic numerical analysis code to perform ecient interval and fuzzy numerical analyses. The procedure is illustrated on the FRF analysis of an industrially sized nite element model of a stiened conical shell structure.