Miracle-dz/UniFAR-FTUs huggingface dataset:
Two-Wheeler Vehicle Traffic Violations Detection and Automated Ticketing for Indian Road Scenario

Traffic violation monitoring and control is a major concern in India due to excess crowd, increasing commuters, bad traffic signal management, and rider mentality. It is obvious that physical traffic police-based monitoring alone is insufficient to monitor such large traffic volumes and simultaneously track violations. This has led to many violators going unnoticed. The violators, in turn, cause more serious mishaps on the road resulting in danger to their own life as well as to other’s life. Thus, there is a need for incorporating Artificial Intelligence (AI)-based techniques to eliminate manual intervention for the detection and catching of violators. In this paper, we propose a system to automatically detect two-wheeler violations like not wearing a helmet, usage of a phone while riding, triple riding, wheeling, and illegal parking for Indian road scenarios and eventually automating the ticketing process by capturing the violations and corresponding vehicle number in a database. We propose using a custom trained Yolo-v4 + DeepSORT for violation detection and tracking and Yolo-v4 + Tesseract for number plate detection and extraction. This implementation obtained a mean average precision (mAP) of 98.09% for violation detection and an accuracy of 99.41% for number plate detection on the test data. Further, the system detected 77 out of 93 violations with zero false positives in real-life scenarios. Thus,showing that the traffic violation system developed can be used to automate traffic violation ticketing. The developed system would be particularly useful in deriving various safety-related policies and will help to enforce strong regulation of traffic rules and build towards a smart city ecosystem via the automated AI-based traffic violation and ticketing system.
Relationships between Body Weight Status and Serum Levels of Adipokine, Myokine and Bone Metabolism Parameters in Healthy Normal Weight and Thin Children

Optimal body weight and body composition for age are relevant to child development and healthy life. Changes in lean mass and fat mass as well as its distribution are associated with alterations in the secretion of myokines and adipokines by muscle and adipose tissues. These factors are very important for bone health. The aim of the study was to assess serum leptin, adiponectin, resistin, visfatin and omentin as adipokines and myostatin and irisin as myokines with regard to their associations with bone parameters in healthy normal weight and thin children. We studied 81 healthy prepubertal children (aged 5 to 9 years) divided into three groups: group A—35 children with a BMI z-score between +1 and −1 SD; group B—36 children with a BMI z-score between −1 and −2 SD; and group C—10 thin children with a BMI z-score of <−2 SD. We observed significantly (p < 0.001) lower fat mass, fat/lean mass ratio and bone mineral density (BMD) across weight status with the lowest values in the group of thin children. We noticed significantly (p < 0.05) lower concentrations of 25-hydroxyvitamin D, resistin and high-molecular-weight (HMW) adiponectin but higher levels of myostatin as the BMI z-score deceased. We found that BMI and leptin levels were directly correlated with fat mass, lean mass, bone mineral content (BMC) and BMD. Resistin levels were negatively associated with lean mass, while visfatin concentrations were positively related to total BMD. In healthy prepubertal children there were differences in body composition and in bone mineral density across decreasing BMI status. We suggest that changes in serum myostatin and 25-hydroxyvitamin D levels may play a role in bone status of thin children. Moreover, significant relations between adipokines and bone parameters may confirm crosstalk between fat tissue and bone in these children.
Sample-wise dynamic precision quantization for neural network acceleration

Quantization is a well-known method for deep neural networks (DNNs) compression and acceleration. In this work, we propose the Sample-Wise Dynamic Precision (SWDP) quantization scheme, which can switchthebit-widthofweightsandactivationsinthemodelaccordingtothe taskdiﬃcultyofinputsamplesatruntime. Usinglow-precisionnetworksforeasyinputimagesbringsadvantagesintermsofcomputationaland energyeﬃciency. WealsoproposeanadaptivehardwaredesignfortheeﬃcientimplementationofourSWDPnetworks. Theexperimentalresults onvariousnetworksanddatasetsdemonstratethatourSWDPachievesanaverageof3 . 3 × speedup and 3 . 0 × energy saving over the bit-level dynamically composable architecture BitFusion
Personalized Car Following for Autonomous Driving with Inverse Reinforcement Learning

Driving automation is gradually replacing human driving maneuvers in different applications such as adaptive cruise control and lane keeping. However, contemporary driving automation applications based on expert systems or prede-fined control strategies are not in line with individual human driver's preference. To overcome this problem, we propose a Personalized Adaptive Cruise Control (P-ACC) system that can learn the driver's car-following preferences from historical data using model-based maximum entropy Inverse Reinforcement Learning (IRL). Once activated in real-time, the P-ACC system first classifies the driver type and the weather type (at that moment). The vehicle is then controlled using the pre-trained IRL model on the cloud of the associated class. The personalized IRL model on the cloud will be updated as more human driving data is collected from various scenarios. Numerical simulation with real-world naturalistic driving data shows that, the accuracy of reproducing the real-world driving profile improves up to 30.1% in terms of speed and 36.5% in terms of distance gap, when P-ACC is compared with the Intelligent Driver Model (IDM). Game engine-based human-in-the-loop simulation demonstrates that, the takeover frequency of the driver during the usage of P-ACC decreases up to 93.4%, compared with that during the usage of IDM-based ACC.
OTFS Transceiver Design and Sparse Doubly-Selective CSI Estimation in Analog and Hybrid Beamforming Aided mmWave MIMO Systems

Orthogonal time frequency space (OTFS) waveform based millimeter wave (mmWave) MIMO systems are capable of achieving high data rates in high-mobility scenarios. Hence, transceivers are designed for both analog beamforming (AB) and hybrid beamforming (HB), where we commence by deriving the delay-Doppler (DD)-domain input-output relationship considering a delay-Doppler-angular domain channel model. Subsequently, a novel two-stage procedure is developed for transmit beamformer (TBF)/ precoder (TPC) and receiver combiner (RC) design, and for estimating the DD-domain’s equivalent channel state information (CSI). The key feature of the proposed framework is that the RF TBF/ TPC and RC design maximizes the directional beamforming gains. It is also demonstrated that the low-dimensional baseband CSI of the DD-domain becomes sparse for mmWave-AB MIMO OTFS systems, and block-sparse for mmWave-HB MIMO OTFS systems. Subsequently, Bayesian learning (BL) and block-sparse BL (BS-BL) solutions are developed for improved CSI estimation. We also derive the Bayesian Cramer-Rao lower bounds (BCRLB) for benchmarking the mean-squared-error (MSE) of the CSI estimates. Finally, our simulation results demonstrate the improved efficacy of the proposed transceiver designs and confirm the enhanced CSI estimation performance of the BL-based schemes over other competing sparse signal recovery schemes.
Hubungan Kesejahteraan Psikologis dengan Kesepian pada Mahasiswa yang Merantau di Yogyakarta

Latar belakang: Mahasiswa adalah peserta didik yang menjalani pendidikan di sebuah universitas atau perguruan tinggi. Tujuan penelitian: Penelitian ini bertujuan untuk mengetahui hubungan antara kesejahteraan psikologis dan kesepian. Metode penelitian: Metode analisis data yang digunakan dalam penelitian ini adalah analisis korelasi, yaitu untuk mengetahui hubungan kesejahteraan psikologis dengan kesepian pada mahasiswa yang merantau di Yogyakarta. Analisis data dilakukan menggunakan program SPSS version 22 for Windows. Hasil penelitian: Terdapat hubungan negatif antara kesejahteraan psikologis dengan kesepian pada mahasiswa yang merantau di Yogyakarta. (r = -0.655 dan p < 0.05) sehingga hipotesis yang diajukan dalam penelitian ini diterima. Kesimpulan: Hipotesis yang diajukan oleh peneliti tentang adanya hubungan yang negatif antara kesejahteraan psikologis dan kesepian pada mahasiswa yang merantau diterima. Hal ini menunjukkan bahwa orang-orang memiliki kesejahteraan psikologis yang baik akan terhindar dari perasaan kesepian dibandingkan dengan orang-orang yang memiliki kesejahteraan psikologis yang rendah.
Prediction of the Nonlinearity by Segmentation and Matching Precision of a Hybrid R-I Digital-to-Analog Converter

The data converters’ nonlinearity, which is mainly caused by random mismatch, reflects the performance deviation between the actual realization and an ideal situation. The interpretation of the numerical relationship between the nonlinearity and matching precision for a hybrid digital-to-analog converter (DAC) consisting of a k-bit resistor-string and an m-bit current-steering array (R-I DAC) is a challenging task. In this article, we propose a method to predict the nonlinearity by the segmentation and matching-precision of an R-I DAC. First, we propose a mathematical model that focuses on the output and mismatches of an R-I DAC. The model shows that nonlinearity gets worse when the segmentation ratio (k/m) increases. Second, we derive theoretical expressions for the static nonlinearity and matching precision. It is shown that the resolution number of resistor (k) has more influence on nonlinearity than the resolution number of current steering (m). Designers can quickly determine the segmentation strategy and matching precision from the derived equations. Finally, we achieve a nonlinearity that is smaller than half the least significant bit (LSB) when the matching resolution in the bits of the resistors and current sources are k + 4 and m + 2k + 2, respectively. For the verification of the study proposed, three test groups of prototypes with different matching precisions are fabricated and measured. The measured static and dynamic performance of the designed DACs support our proposal expressions.
Relationship between Self-Esteem and Technological Readiness: Mediation Effect of Readiness for Change and Moderated Mediation Effect of Gender in South Korean Teachers

This study aimed to investigate the moderated mediation effect of gender and the mediation effect of readiness for change (RC) on self-esteem and technology readiness (TR) among South Korean teachers. Participants were 302 teachers who are living and working in South Korea. The collected data were analyzed using frequency and correlation analyses, and the moderated mediation effect. First, we considered the differences in TR and RC according to gender, and they were reported to be higher in men than in women. The number of teachers who had worked for more than 11 years was significantly higher than that of other teaching career groups. Second, correlation analysis showed a positive correlation between self-esteem, TR, and RC by gender. Third, teachers’ RC mediates the relationship between self-esteem and TR. Fourth, the teachers’ gender moderated the relationship between self-esteem and RC. Additionally, teachers’ gender moderated the mediating effect of RC on self-esteem and TR. Finally, based on the study results, we suggest the development of a program for improving self-esteem to enhance TR and RC among teachers of both genders. Additionally, future research should consider universal teacher sampling to facilitate the comparison of teachers’ characteristics and to identify variances in the data.
The effect of mirror therapy can be improved by simultaneous robotic assistance

Background: Standard mirror therapy (MT) is a well-established therapy regime for severe arm paresis after acquired brain injury. Bilateral robot-assisted mirror therapy (RMT) could be a solution to provide visual and somatosensory feedback simultaneously. Objective: The study compares the treatment effects of MT with a version of robot-assisted MT where the affected arm movement was delivered through a robotic glove (RMT). Methods: This is a parallel, randomized trial, including patients with severe arm paresis after stroke or traumatic brain injury with a Fugl-Meyer subscore hand/finger < 4. Participants received either RMT or MT in individual 30 minute sessions (15 sessions within 5 weeks). Main outcome parameter was the improvement in the Fugl-Meyer Assessment upper extremity (FMA-UE) motor score. Additionally, the Motricity Index (MI) and the FMA-UE sensation test as well as a pain scale were recorded. Furthermore, patients’ and therapists’ experiences with RMT were captured through qualitative tools. Results: 24 patients completed the study. Comparison of the FMA-UE motor score difference values between the two groups revealed a significantly greater therapy effect in the RMT group than the MT group (p = 0.006). There were no significant differences for the MI (p = 0.108), the FMA-UE surface sensibility subscore (p = 0.403) as well as the FMA-UE position sense subscore (p = 0.192). In both groups the levels of pain remained stable throughout the intervention. No other adverse effects were observed. The RMT training was well accepted by patients and therapists. Conclusions: The study provides evidence that bilateral RMT achieves greater treatment benefit on motor function than conventional MT. The use of robotics seems to be a good method to implement passive co-movement in clinical practice. Our study further demonstrates that this form of training can feasibly and effectively be delivered in an inpatient setting.
A Compact Tri-Band Filtering Antenna System for 5G Sub-6 GHz Applications

This communication presents a novel compact tri-band filtering antenna for 5G Sub-6 GHz n41 (2.515–2.675 GHz), n78 (3.4–3.6 GHz), and n79 (4.8–5 GHz) applications. The antenna consists of a central dual-band element and four single-band elements placed around. Simulated results show that the tri-band filtering antenna has an impedance bandwidth (<inline-formula> <tex-math notation="LaTeX">$\vert S_{11}\vert < -10$ </tex-math></inline-formula> dB) of 6.6% (2.51–2.68 GHz), 6.3% (3.39–3.61 GHz), and 5.5% (4.73–5 GHz), covering Chinese 5G Sub-6 GHz band. The distance between single-band elements along both the x-axis and y-axis is <inline-formula> <tex-math notation="LaTeX">$0.31\lambda _{0}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{0}$ </tex-math></inline-formula> is the free-space wavelength of the center frequency at the lowest band), realizing a compact structure of <inline-formula> <tex-math notation="LaTeX">$0.95\lambda _{0} \times 0.95\lambda _{0} \times 0.2\lambda _{0}$ </tex-math></inline-formula>. Since this tightly spaced structure will easily cause strong coupling, additional filtering structure is added, achieving high isolation over 47 dB between the central and the peripheral elements. The final antenna realizes stable gain in all three frequency bands, showing satisfactory in-band average radiation efficiency and high out-of-band gain-suppression level, making it suitable for 5G Sub-6 GHz wireless communication applications.
Design of a 10MW Wind Turbine Rotor Blade for Testing of a Scaled-down Floating Offshore Support Structure

Floating offshore wind energy is being widely implemented in deep-water sites thanks to its numerous advantages, which among others include the access to stronger and undisturbed wind resources. In addition, considering the fast-paced growth in size and power generating capacity of offshore wind turbines, the designs of floating foundations need to be continuously improved. Therefore, proper testing (at model-scale) is necessary. To achieve this, several factors need to be taken into account. For instance, down-scaling for testing of floating structures brings challenges due to the so-called Reynolds effects, which degrade the aerodynamic response of the mounted turbine. Likewise, the rotation of the blades and the motions of the platform as a result of its interaction with waves, have an impact on the wind inflow acting upon the rotor. Thereby, modifying its instantaneous performance. This Master thesis, carried out in cooperation with MARIN (Maritime Research Institute Netherlands), focuses on developing a reliable methodology that renders in the design of a scaled-down thrust-matched 10MW wind turbine rotor blade, for its further implementation in the testing of a floating offshore support structure. For this purpose, the aforementioned effects are investigated, and a suitable set of design tools is selected and coupled, in order to realise an optimised blade geometry. For predicting the wind turbine behaviour, this implementation relies on the Blade Element Momentum Theory. Furthermore, the resulting blade's aerodynamic performance is validated using ReFRESCO (MARIN’s in-house CFD code), against the non-dimensional parameters of the DTU 10MW reference wind turbine.
Electric thermal storage in isolated wind diesel power systems: use of distributed secondary loads for frequency regulation

Isolated coastal utilities in arctic villages commonly use a mix of diesel and wind power to provide electrical service to their consumers. It is common for such communities to experience periods of high wind generation for which no immediate demand exists and either waste, curtail, or poorly utilize the surplus. The objective of the present work is to explore (through mathematical and numerical modelling) the technical feasibility of and optimization strategies for distributing this excess wind energy as domestic space heat for use as a cleaner, more economical alternative to fossil fuels. Autonomously controlled Electric Thermal Storage (ETS) devices are considered as a solution to decouple the supply of excess wind power with domestic heat demand without the need for communication infrastructure or a second distribution circuit. First, using numerical heat transfer analysis, it is shown that the performance of an ETS heater core can be generalized and expressed in terms of its physical properties and simple geometric dimensions in such a way as to inform system sizing and economic performance studies for prospective applications. Furthermore, a collection of autonomous ETS units is shown (using a full-scale lab-validated mathematical model) to possess the ability to assume the role of partial and/or sole frequency regulator on a hybrid wind-diesel system. Several design changes are proposed, which render the commercially-available units more amenable to frequency regulation. Ultimately, ETS is shown to be a promising alternative means of utilizing excess renewable energy for domestic space heat while providing additional stability to the electrical grid.
Distance Learning Evaluation with The Cipp Model

- -The Merchant Marine Polytechnic (known as PIP / Politeknik Ilmu Pelayaran ) Semarang is a boarding school recently implementing distance learning for the first time. As a ship’s crew, each seafarer is required to have the Certificate of Competency (Co.C) and Certificate of Proficiency (Co.P). This research aims at analyzing the implementation of distance learning at the Merchant Marine Polytechnic (PIP) Semarang based on understanding and management of lecturers and instructors in their fields of expertise. The population was 86 lecturers. The data was collected using questionnaire previously tested based on its validity and reliability and then descriptively and qualitatively analyzed. The research results showed the context evaluation of 81.40%, input evaluation of 72.09%, process evaluation of 95.35%, and product evaluation of 83.72%. Due to the implementation of distance learning at the Merchant Marine Polytechnic ( PIP ) Semarang, the results of CIPP evaluation classified into good category in all aspects. The distance learning process evaluation was the most dominant result. It means that the distance learning process evaluation was greatly successful as expected by the Merchant Marine Polytechnic ( PIP ) Semarang.
Characterization and Antioxidant Activity of Mannans from Saccharomyces cerevisiae with Different Molecular Weight

Polysaccharides were extracted from natural sources with various biological activities, which are strongly influenced by their chemical structure and molecular weight. In this research, mannans polysaccharides were obtained from Saccharomyces cerevisiae by ethanol precipitation. The molecular weight of YM50, YM70, and YM90 mannans was 172.90 kDa, 87.09 kDa, and 54.05 kDa, respectively. Scanning electron microscopy of YM 90 mannans showed a rough surface with numerous cavities, while the surfaces of YM50 and YM70 were relatively smooth. Sepharose CL-6B and FTIR indicated that mannans had the characteristic bands of polysaccharides. The antioxidant activities of polysaccharides were evaluated in vitro using various assays. Mannans showed a good scavenging activity of DPPH radicals which depend on the molecular weight and concentration, and a higher scavenging activity of hydroxyl radical than ferric-reducing power activities. For the three types of mannans, cytotoxicity and hemolytic activity were rarely detected in mice erythrocytes and Caco-2 cells. Those results could contribute to the further application of mannans from Saccharomyces cerevisiae in the food and medicine industry.
Some results and problems on quan-tum Bell-type inequalities

A method is disclosed whereby a semiconductor silicon substrate wafer is diffused with a P or N type dopant or "impurity" in an open tube at a temperature of about 1050 DEG C in the presence of at least a 50:1 ratio of water to dopant whereby the surface concentration of impurity is controlled below the solid solubility of the dopant in silicon.
Miniaturised ISM band HMSIW band-pass filter loaded with wide U slot

In this study, two half-mode substrate integrated waveguide (HMSIW) filters are proposed by introducing wide U slot in the conventional SIW (substrate integrated waveguide) structure. In the first case, lower ISM (industrial, scientific and medical radio) band HMSIW filter is designed by extending the centre stub, thereby controlling the resonant frequency and bandwidth. In the second case, higher ISM band HMSIW filter is designed by shorting the extended stub using via. These filters are having a compact core size of 26 mm × 11 mm and work at 2.4 and, 5.8 GHz with a fractional bandwidth of 4.0 and 2.6%, respectively. The filter is fabricated with a single layer standard printed circuit board process. The measured results are good and in agreement with simulated results. The band-pass filter structure has the advantage of low insertion loss, good return loss, sharp side band rejection and compact size.
A survey of semiconductor supply chain models part I: semiconductor supply chains, strategic network design, and supply chain simulation

Supply chain management issues have become increasingly important to the semiconductor industry over the last two decades due to the global distribution of facilities and increasing numbers of firms specialising in particular stages. This series of three papers reviews the literature on modelling and analysis of the larger semiconductor supply chain. After describing the structure of semiconductor supply chains to provide context for the research efforts, we propose a classification scheme for the relevant literature. The remainder of this paper (Part I) then focuses on Strategic Network Design models for this industry, supply chain coordination through contracting and semiconductor supply chain simulation. Part II discusses Demand Planning, Inventory Management and Capacity Planning, while Part III addresses Master Planning, Production Planning and Demand Fulfilment.