Miracle-dz/UniFAR-FTUs huggingface dataset:
In-Memory Unified TRNG and Multi-Bit PUF for Ubiquitous Hardware Security

This work describes an SRAM architecture with in-memory generation of both dynamic and multi-bit static entropy. This inexpensively extends complete key generation capabilities to any system that includes an SRAM, and hence ubiquitously down to tightly constrained and very low cost. The array embeds a true random number generator (TRNG) and a physically unclonable function (PUF), while using a commercial bitcell and periphery all-digital pitch-matched augmentation to retain the simplicity of memory compiler designs. TRNG bits are generated from bitline discharge induced by the cumulative column-level leakage, whose otherwise exponential energy increase under temperature fluctuations is counteracted by an energy control loop. Multiple PUF bits (e.g., two bits) per accessed bitcell are uniquely extracted from the bitline discharge rate, rather than conventional power-up state. A 16-kb SRAM array in 28 nm shows cryptographic-grade TRNG operation at the low area cost of 12.5 $\mu \text{m}^{2}$ per output stream, and two-bit/PUF bitcell with 12.6 Gbps and 72 fJ/bit energy. Embedment within the array and inherent data locality eliminate obvious physical attack points of standalone TRNGs and PUFs.
FET noise-parameter determination using a novel technique based on 50-/spl Omega/ noise-figure measurements

A novel method for measuring the four noise parameters of a field-effect transistor (FET) is presented. It is based on the determination of its intrinsic noise matrix elements [C/sub 11//sup INT/, C/sub 22//sup INT/, Re(C/sub 12//sup INT/), Im(C/sub 12//sup INT/)] by fitting the measured device noise figure for a matched source reflection coefficient (F/sub 50/) at a number of frequency points, thus, a tuner is not required. In contrast to previous works, no restrictive assumptions are made on the intrinsic noise sources. The receiver full-noise calibration is easily performed by using a set of coaxial and on-wafer standards that are commonly available in a microwave laboratory, thus, an expensive broad-band tuner is not required for calibration either. On-wafer experimental verification up to 26 GHz is presented and a comparison with other F/sub 50/-based and tuner-based methods is given. As an application, the dependence of the FET intrinsic noise sources as a function of the bias drain-current and gate-length is obtained.
Poster: DSME-LoRa – A Flexible MAC for LoRa

LoRa is a popular technology that enables long-range wireless communication (kilometers) at low energy consumption. The transmission exhibits low throughput and underlies duty cycle restrictions. Long on-air times (up to seconds) and range are susceptible to interference. In parallel, common LoRa-devices are battery driven and should mainly sleep. LoRaWAN is the system that defines the LoRa PHY, MAC, and a complete vertical stack. To deal with the above limitations, LoRaWAN imposes rigorous constraints, namely, a centralized network architecture that organizes media access, and heavily reduced downlink capacity. This makes it unusable for many deployments, control systems in particular. In this work, we combine IEEE802.15. 4 DSME and LoRa to facilitate node-to-node communication. We present a DSME-LoRa mapping scheme and contribute a simulation model for validating new LoRa use-cases. Our results show 100% packet delivery and predictable latencies irrespective of network size.
Text Mining the Global Abrupt-Wing-Stall Literature

Text mining was used to derive technical intelligence from an abrupt-wing-stall database derived from the Science Citation Index database. Both concept and document clustering were used to provide the structural taxonomy of the global abrupt-wing-stall literature and the estimated relative levels of effort in the major subcategories. Bibliometric analysis of the abrupt-wing-stall literature generated author/journal/institution publication and citation data.
Design of Experiment (DOE) for the Investigation of Human Emotions while Driving in a Virtual Environment through Brain Signal (EEG)

The transition from the conventional vehicle to the autonomous vehicle is going to take place but, the acceptance of users to the autonomous vehicle still lacking. The past research more focusses on the driver attention, drowsiness, fatigue or the alertness of the driver. This research aims to study the drivers' emotions/reactions during the autonomous and manual drive in the simulated environment. The environment for the manual and autonomous drive is developed by using simulator software, Unity. This paper focus only on the experimental setup for the human emotions' detection using EEG signal during the manual and autonomous drive. The Emotiv Epoc+ use for the EEG signal acquisition. The simulated environments are displayed through a Head Mount Display (HMD). The analysis of the EEG signal which includes the pre-processing, feature extraction, and classification will be discussed in future works.
Digital Village Index (DVI) for Indonesia Case Study

Digitalization has been implemented in the city and village as part of development. Some existing indices include the Developing village index, Sustainable Development Goals (SDGs), Smart City Index, E-Government Index, and Digital Town Readiness Framework. However, there is limited research on how to measure the impact of village digitalization, especially in the Indonesian context. This paper aims to develop a novel Digital Village Index (DVI) based on a literature review. This is based on progress research about the village digital index in Indonesia. The novel index is an initial DVI based on desk research and contains 24 indicators. It will be validated by fieldwork in four villages supported by Telkom Smart Village Nusantara (Telkom SVN), Village of Krandegan at Purworejo, and five villages in Madura Island supported by Universitas Trunojoyo Madura (UTM), then improve the novel index. The novelty and contribution of the research is the new index to measure village digitalization in Indonesia.
A dual CP slot antenna using a modified Wilkinson power divider configuration

A dual circularly polarized (CP) slot antenna based on a proposed equal-split Wilkinson power divider is presented. An offset-fed slot antenna, which was analyzed using the method of moments together with a mixed potential integral equation, was used to replace the lumped resistor in the divider. A dual CP slot antenna operating at S-band was designed and demonstrated experimentally. The antenna possessed a return loss bandwidth of 39.3%, an isolation bandwidth of 10% for VSWR <2, and 3-dB axial ratio bandwidth of 28%.
State of Bond along Lap Splices

AbstractDesign requirements for development length of lap-spliced reinforcing bars in concrete refer to the associated rules for anchorage, practically treating the two problems as one. This was based on the empirical observation that development capacity of reinforcement obtained from both lap-splice and anchorage tests converge to the same experimental values. Nevertheless, from a theoretical viewpoint the similarity between the states of stress of these two problems is not well addressed. In order to trace the underlying relationship between these two bond conditions, the field equations governing lap-splice behavior are established and solved from first principles using simplified constitutive relationships for steel and bond between reinforcement and concrete; the state of stress thus estimated is subsequently compared with the state of stress that occurs along an anchorage of the same length. Because lap splices occur in the clear span of members in the presence of flexural moment, an essential poin.
Theoretical and experimental study of 10 Gb/s transmission performance using 1.55 /spl mu/m LiNbO/sub 3/-based transmitters with adjustable extinction ratio and chirp

This paper has experimentally and theoretically investigated transmission performance depending on chirping and extinction ratio for a 10 Gb/s transmission system with the standard single-mode fiber. The transmission performance can be dramatically degraded or improved by adjusting chirp and extinction ratio in a 1.55 /spl mu/m LiNbO/sub 3/ modulator-based transmitter and erbium-doped fiber amplifier (EDFA)-pin diode receiver configuration. To estimate the transmission performance, bit error rate (BER) characteristics rather than eye-opening penalty (EOP) have been calculated by solving the nonlinear Schrodinger equation with including the model of chirping and extinction ratio for the transmitter, and noise and intersymbol interference for the receiver. This simulation can predict the measured BER characteristics well enough to see interplaying between chirping and extinction ratio.
Energy-efficient readout of resonant sensors

This thesis discusses the theory, architecture and circuit design and measurements of an ultra-low-energy prototype interface circuit for a resonant gas sensor in standard 0.35-? m CMOS technology. A transient measurement method is used here. The resonant sensor is driven at a frequency close to its resonance frequency by an excitation source that can be intermittently disconnected causing the sensor oscillation amplitude to decay exponentially. From the ring-down signal, the frequency of the freely oscillating sensor and the quality factor are obtained. Test chips are fabricated to measure the resonance frequency and quality factor of the resonant sensor using ring-down measurement approach. The obtained results(resonance frequency and quality factor) show good consistency compared with what we obtained using an alternative approach (impedance analysis). The circuit consumes an energy of 237nJ per measurement.
The Perfect Way to Generate “Good” Gel Electrophoresis Images

Recently, there have been many deep learning based image generation method, none of them was designed for biological experiment related images. In this paper, we proposed a concept of efficient method for agarose gel electrophoresis image generation in order to skip time-wasting polymerase chain reaction (PCR) and gel electrophoresis experiment. Based on deep convolutional generative adversarial networks (DCGAN)[1], successfully generated a “good” gel electrophoresis images and destroyed the evidence ability of those images in biological paper. Our results show that a vulnerability of the evidence ability of the traditional gel electrophoresis image.
Protein Identification and Haplotype Description of Homozygote Mutation Causing Congenital Plasminogen Deficiency

Severe type I Plasminogen (PLG) deficiency was clinically diagnosed after hyaline-positive periodic acid Schiff material was detected in the histologic study of superior tarsal conjunctiva and vulvar pseudomembrane of the patient. Direct immunofluorescence also confirmed multiple deposits of fibrinogen in the dermis. Plasma plasminogen activity was calculated in a <5% value (reference values, 75% to 150%) and sequencing of the PLG gene evidenced the homozygous mutation in c.2377T/A (p.Tyr793Asn), confirming the molecular diagnosis of congenital deficiency of plasminogen type 1. Genotype-Phenotype correlation among family members evidenced the recessive hereditary pattern of clinical manifestations of chronic inflammatory disease of the mucous membranes due to PLG deficiency, but co-dominance effect to present a decreased plasma plasminogen activity (46%) among heterozygous asymptomatic individuals. SNPs/CNVs whole genome array hybridization analysis in the patient, detected long Loss of Heterozygosity regions (LOH) and demonstrated the consanguinity in the family. Proteomic analysis identified impaired secretion of mutant PLG tissue specific proteins, as definitive molecular etiopathogenesis of the type I PLG deficiency in the patient.
Papua and the public News framing of the Asrama Papua 2019 conflict

The 2019 Asrama Papua conflict in Surabaya initiated many discourses on racial discrimination and police brutality towards Papuan students in Indonesia. The question arises as to how the public perceive news framing and its effects on public opinion. This question will be answered by examining reports in the newspapers Kompas (published in Jakarta) and Jubi (Jayapura, Papua) which display quite different thematic and rhetorical structures. As secondary research, this article aims to assess the public opinion on the framing of the incident based on Berger and Luckmann’s Social Construction of Reality. Through qualitative focus group discussion, this study examines people’s perceptions of news media framing and its effect on the shaping of public opinion towards an ethnic minority group. The results show that media framing reinforces a certain idea of public opinion towards minority groups through various factors such as Perspective of Reporting and Depth of Reporting, both of which differ in Kompas and Jubi as a result of differences in their audiences. Differences were also found in such factors as the thematic structure between lens of sympathy and lens of antagonism. Ultimately, this research suggests that the public possess an awareness of news framing, thus giving them the capability to construct their own critical viewpoints towards media and the incident.
The physical and motor development of 9-year-old children attending football classes in «football school for children»

Purpose : The purpose of the study was to determine the physical development and physical fitness of the boys at the age of 9 years old attending football classes. Material : The study covered 12 boys at 9 years old attending football classes in "Football school for children" in Jablonowo Pomorskie. The assessment of the physical development was conducted by examining height and body weight and, on this basis, the somatic built indicator was calculated according to Rohrer index. To evaluate physical fitness, the Physical Fitness Index by Zuchor was used. Results : The studied exceed with height and weight their peers from the Kujawsko-Pomorskie Voivodeship. The level of physical fitness of the studied boys aged 9 years old did not show much diversity. Conclusions : The results improvement was not observed in most physical fitness tests.
Surgery: A Systematic Review Enhanced Recovery After Surgery Trends in Adult Spine

Background: Enhanced Recovery After Surgery (ERAS) is a multimodal, multidisciplinary approach to optimizing the postsurgical recovery process through preoperative, perioperative, and postoperative interventions. ERAS protocols are emerging quickly within orthopedic spine surgery, yet there is a lack of consensus on optimal ERAS practices. Objective: The aim of this systematic review is to identify and discuss the trends in spine ERAS protocols and the associated outcomes. Methods: A literature search on PubMed was conducted to identify clinical studies that implemented ERAS protocols for various spine procedures in the adult population. The search included English-language literature published through December 2019. Additional sources were retrieved from the reference lists of key studies. Studies that met inclusion criteria were identified manually. Data regarding the study population, study design, spine procedures, ERAS interventions, and associated outcome metrics were extracted from each study that met inclusion criteria. Results: Of the 106 studies identified from the literature search, 22 studies met inclusion criteria. From the ERAS protocols in these studies, common preoperative elements include patient education and modified preoperative nutrition regimens. Perioperative elements include multimodal analgesia and minimally invasive surgery. Postoperative elements include multimodal pain management and early mobilization/rehabilitation/nutrition regimens. Outcomes from ERAS implementation include significant reductions in length of stay, cost, and opioid consumption. Although these trends were observed, there remained great variability among the ERAS protocols, as well as in the reported outcomes. Conclusions: ERAS may improve cost-effectiveness to varying degrees for spinal procedures. Specifically, the use of multimodal analgesia may reduce overall opioid consumption. However, the benefits of ERAS likely will vary based on the specific procedure. Clinical Relevance: This review contributes to the assessment of ERAS protocol implementation in the field of adult spine surgery.
SIMULATION OF MATHEMATICAL MODEL FOR MONORAIL SUSPENSION SYSTEM UNDER DIFFERENT TRACK CONDITIONS

ABSTRACT Designing a new monorail suspension system for an existing monorail bogie to accommodate larger cars, locomotives and more passengers is a difficult and complicated problem to solve. This paper introduces a simulation of a mathematical model for a monorail suspension system that can be used as an analytical tool to investigate and predict the behavior of the model under different speeds and track conditions. In this paper, the simulation is performed to predict some dynamic characteristics monorail suspension system. This research work concentrates on the simulation of 15 degrees of freedom full-car Monorail suspension system. The model features the Monorail body, Front bogie, and rear bogie geometries, adopted equations of motion of the monorail suspension system and system matrices. Numerical Central Difference method was used to obtain the system responses subject to sinusoidal Track excitations. Three Track scenarios that have different loads and different driving speeds were conducted to investigate the monorail suspension system. The system results are analysed in terms of their dynamic responses. Fourier Fast transforms was used to calculate the frequency ranges of dynamic responses. As a result, some very important characteristics of the Monorail suspension system were revealed, with indicators that help to understand the effects of driving speeds and different loads, which can be used to better understand the system dynamic performance, to improve Monorail suspension system designs flaws detection.
Modeling of Aerodynamically Generated Noise From Wind Turbines

A semiempirical acoustic generation model based on the work of Brooks, Pope, and Marcolini [NASA Reference Publication 1218 (1989)] has been developed to predict aerodynamic noise from wind turbines. The model consists of dividing the blades of the wind turbine into two-dimensional airfoil sections and predicting the total noise emission as the sum of the contribution from each blade element. Input is the local relative velocities and boundary layer parameters. These quantities are obtained by combining the model with a Blade Element Momentum (BEM) technique to predict local inflow characteristics to the blades. Boundary layer characteristics are determined from two-dimensional computations of airfoils. The model is applied to the Bonus 300 kW wind turbine at a wind speed of 8 m/s. Comparisons of total noise spectra show good agreement with experimental data.
Effects of Growth Mindset on a Student's Educational Experience

While schools focus on a students’ intelligence and academic growth, a lack of self-efficacy and growth mindset may create a larger challenge for kindergarteners through twelfth graders to make proper academic growth. In an attempt to achieve academic success, this paper sought to gain an understanding of growth mindset strategies and interventions by synthesizing available research studies on the topic. Research showed that the implementation and application of growth mindset interventions encouraged growth mindset beliefs and can lead to higher success rates in overall academic outcomes. In addition to a shift in beliefs, students also saw increased levels of motivation, self-efficacy, and perseverance as a result of the interventions. However, not all studies showed sustained longevity of growth-minded beliefs in students, seeing changes last for short periods of time before returning to pre-existing beliefs. These results call for a continuous need for growth mindset development and practices among educators to strengthen the collaborative approaches and understanding of the implementation process taken in schools. As a result, professional development on continuous learning and teaching practices of a growth mindset will help to sustain the higher levels of academic achievement produced through interventions.
Buying Packaged Software? – Caveat Emptor!

A guide to assist people along the path of software package selection, helping them avoid the pitfalls (including over‐enthusiastic salesmen) is presented. Guidelines to follow are: make sure that what you intend doing is compatible with your company′s strategic goals and plans; conduct a short feasibility study to create first estimates of scope of the project, timescales and costs; define requirements in sufficient detail for potential suppliers to give an accurate assessment of all the costs involved. Function, performance and environment should all be defined; involve all the users in agreeing this statement of requirements; identify suitable potential suppliers; prepare and issue an invitation to tender; evaluate responses against your requirements and reduce the list of potential suppliers until you are left with one. And when unsure about any part of the process – get professional help!
Performance Comparison of Three Different Types of Attitude Control Systems of the Quad-Rotor UAV to Perform Flip Maneuver

This paper addresses the performance of three different types of attitude control systems for the Quad-rotor UAV to perform the flip maneuver. For this purpose, Quad-rotor UAV’s 6-DOF dynamic model is derived, and it was used for designing an attitude controller of the Quad-rotor UAV. Attitude controllers are designed by three different methods. One is the open-loop control system design, another is the PD control system design, and the last method is the sliding mode control system design. Performances of all controllers are tested by 6-DOF simulation. In case of the open-loop control system, control inputs are calculated by the quad-rotor dynamic model and thrust system model that are identified by the thrust test. The 6-DOF realtime simulation environment was constructed in order to verify the performances of attitude controllers.
Surveying Trust-Based Collaborative Intrusion Detection: State-of-the-Art, Challenges and Future Directions

Owing to the swift growth in cyber attacks, intrusion detection systems (IDSs) have become a necessity to help safeguard personal and organizational assets. However, with the increasing size of computer networks, it becomes difficult for a stand-alone IDS to identify sophisticated and advanced threats, such as DDoS attack, due to the lack of contextual information and knowledge regarding the deployed environments. To tackle this issue, distributed and collaborative IDSs (DIDSs and CIDSs) are developed, which enable a set of IDS nodes to operate in a collaborative way through exchanging required information. In this survey, we first summarize the state-of-the-art for traditional DIDSs according to the collaboration topology, e.g., centralized, decentralized, and distributed, and discuss major external and internal threats. Because of the distributed nature and various threats, trust is often enforced among various IDS nodes. We then summarize the relevant research on trust-based DIDSs/CIDSs in a chronological order. Also, we highlight challenges and future directions in this field. The main purpose of this survey is to stimulate more research efforts in developing robust and practical trust-based collaborative intrusion detection.