Miracle-dz/UniFAR-FTUs huggingface dataset:
Demonstration of Blockchain Based Peer to Peer Energy Trading System with Real-Life Used PHEV and HEMS Charge Control

To further implement decentralized renewable energy resources, blockchain based peer-to-peer (P2P) energy trading is gaining attention and its architecture has been proposed with virtual demonstrations. In this paper, to further socially implement this concept, a blockchain based peer to peer energy trading system which could coordinate with energy control hardware was constructed, and a demonstration experiment was conducted. Previous work focused on virtually matching energy supply and demand via blockchain P2P energy markets, and our work pushes this forward by demonstrating the possibility of actual energy flow control. In this demonstration, Plug-in Hybrid Electrical Vehicles(PHEVs) and Home Energy Management Systems(HEMS) actually used in daily life were controlled in coordination with the blockchain system. In construction, the need of a multi-tagged continuous market was found and proposed. In the demonstration experiment, the proposed blockchain market and hardware control interface was proven capable of securing and stably transmitting energy within the P2P energy system. Also, by the implementation of multi-tagged energy markets, the number of transactions required to secure the required amount of electricity was reduced.
Waveguide fed circular microstrip patch antenna for Ku band applications

This article presents the design and development of a waveguide fed microstrip patch antenna for Ku band applications. A circular patch is fed using a conventional WR‐51 rectangular waveguide ended with a feeding slot capacitively coupled to the radiating patch. The design is optimized using the electromagnetic software CST Microwave Studio. The antenna is fabricated and the measured results are compared with simulations. The achieved bandwidth of the manufactured antenna is approximately 16.2–18.4 GHz, and a maximum gain of 5.7 dBi. The comparison of measured and simulated results shows good agreement except in the prediction of the surface wave effects propagated in the antenna substrate. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:585–589, 2015
Social Interaction in Systems of Humans and Mobile Robots

The paper aims to present and exemplify the ways in which a mixed system of humans and sociable robots co-operate. To do so, an airport boarding multi-agent system was developed based on Tropos methodology. Some of its agents are in fact virtual robots with which the human can interact using a computer software interface.
Calibration and validation of DEM rolling and sliding friction coefficients in angle of repose and shear measurements

Pile formation and rotating drum experiments followed by DEM simulations using glass beads (1.5 and 3.0 mm diameter) and polyamide spheres (3.0 mm diameter) were conducted. A wide range of rotation velocities was tested (from 1 to 90 rpm), the drum fill degree was set to 50%. The material inclination angles obtained in pile formation experiments were comparable with low speed rotating drum tests. The experimentally obtained results were used to determine DEM friction coefficients. Both, good qualitative and good quantitative agreements between experiments and simulations were found for rotation speeds up to 5 rpm, whereas for higher rotation speeds small discrepancies were observed.
Design of a Wideband Band-Pass Filter Using Semi-lumped and Semi-distributed Technology

In order to design a miniaturized wideband broadband band-pass filter in UHF band, this paper develops a method by cascading a lumped parameter highpass filter with another distribution parameter lowpass filter. Detailed design and synthesis procedures are provided; moreover, agreement between measured and theoretically predicted results demonstrates feasibility of the proposed filter. Due to its simple structure, the UHF wideband band pass filter newly introduced in this paper is suitable for implementation on printed circuit boards. After processed, the size is smaller than 32×15mm2.
Pengaruh Usia Perusahaan terhadap Kinerja Keuangan (Studi pada Bank Victoria Syariah)

Company age and experience are concepts that remain the same. Younger and older companies differ in experience and other aspects. The company's innovation activities change over time and the age of the company reflects the process of growth and accumulation of experience. Age is considered an important determinant of corporate innovation because of its learning effect, which enables mature companies to innovate more effectively as they build on previous routines and capabilities. Over time, companies can not only innovate based on past experience and capabilities, but can also accumulate resources, managerial knowledge, and the ability to handle uncertainty. The purpose of this study was to determine the effect of company age on financial performance, as measured by return on assets (ROA) and return on equity (ROE). The results of the regression analysis show that the age of the company has no effect on ROA and ROE. Based on the results of this study, the management of Bank Victoria Syariah should try to increase market share to increase financial performance, for example by intensifying promotions and corporate cooperation.
High-fidelity noiseless amplification by photon addition and subtraction

Fundamental laws of quantum mechanics impose that arbitrary quantum states cannot be perfectly cloned or amplified without introducing some unavoidable noise in the process. The quantum noise intrinsic to the functioning of a linear phase-insensitive amplifier can however be avoided by relaxing the requirement of a deterministic operation. Non-deterministic noiseless linear amplifiers that do not violate any fundamental quantum law are therefore possible and here we present the first experimental realization of a scheme that allows noiseless amplification of coherent states at the best level of effective gain and final state fidelity ever reached. This scheme, based on a sequence of photon addition and subtraction, and characterized by a significant amplification and low distortions, may become a useful tool for quantum communications and metrology, by enhancing the discrimination between partially overlapping quantum states or by recovering the information transmitted over lossy channels.
Fractal‐shaped microstrip dual‐mode bandpass filter with asymmetrical sinuous spurlines

In this article, miniaturized dual‐mode bandpass filters using Koch fractal‐shaped slots and sinuous spurlines are proposed. Because of the space‐filling property of the fractal geometry, the transmission characteristics of this filter can be adjusted by the iteration order of the Koch fractal curve. Moreover, asymmetrical sinuous spurlines are adopted to tune the degenerate modes. Compared with the conventional square‐patch filters, fractal slots and sinuous spurlines can also provide more current distribution distortions which improve the electrical length and realize a compact design. Experimental data in agreement with theoretical data verify the design methodology. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 745–747, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24167
On-Line Optimization of the Turning Process Using an Inverse Process Neurocontroller

This paper presents a feedback neurocontrol scheme that uses an inverse turning process model to synthesize optimal process inputs. The inverse process neurocontroller is implemented in a multilayer feedforward neural network. On-line adjustments of feed rate and cutting speed parameters are carried out based on a cost/ quality performance index, estimated from force and vibration sensor measurements. Both non-adaptive and adaptive neurocontrol schemes are considered. The simulations and experimental investigations presented herein demonstrated the effectiveness of neural networks for controlling and optimizing turning operations. Applied to single point turning ofa typical finishing cut, the final dimensions and surface finishes were found to be better by 40 and 80 percent respectively, while productivity was increased by 40 percent over the conditions proposed in machining data handbooks. This approach is also applicable to several other manufacturing processes.
Abnormal Action Recognition in Power Production

Safety is of importance for power production. It is known that kinds of abnormal action in power production are concerned with objects. Different from many abnormal action recognitions researches, which ignore the interactive relationship between human and objects, this paper proposes an approach for the specific abnormal action based objects recognition in power production. The major contributions of the paper are to employ an object-based framework for description of hand-trajectory information, reference particle filter for primitive action locating and realize time cost decrease through human silhouette block analysis. Different from simplex trajectory based approach, the presented approach consists of types of trajectory features which belong to specific object and each primitive action is relevant to specific object model. It is verified by experiment that the approach performs on certain abnormal action recognition at an effective level.
Integrated Satellite-Terrestrial Networks Toward 6G: Architectures, Applications, and Challenges

With the increasing global communication demands and the development of Internet of Things (IoT), extending the connectivity to rural and remote areas has become imperative for future networks. The sixth-generation (6G) network is expected to provide heterogeneous services and seamless network coverage for everyone and everything. Combining the advantages of both satellite and terrestrial networks, the integrated satellite-terrestrial network architecture is promising to provide global broadband access for all types of users, which has drawn much attention from both the academia and industry. In this article, we present a comprehensive survey of the state-of-the-art of integrated satellite-terrestrial networks toward 6G. First, an executive classification and summary of the integration architecture is presented from network design to performance optimization. Then, typical applications of the integrated satellite-terrestrial network are discussed based on the architecture. By considering the unique characteristics of the two networks, main challenges are pointed out when performing integration, such as the long propagation delay, complex link conditions, and high dynamics of the network topology. Finally, some promising future techniques are explored from the perspective of the integrated architecture. A detailed survey of the potential integration architectures is of great importance to enable more flexible network design and construction in future 6G networks. This article will provide a valuable guideline on future research and development of integrated satellite-terrestrial networks.
Double-Loop PID Parameter Tuning for DC Motor Based on Modified Particle Swarm Optimization

This paper proposes a modified particle swarm optimization to solve identification of tuning PID controller parameters. This paper elaborates the process that MPSO algorithm optimizes PID parameters in double-loop speed control system modeled by simulink. Through analyzing the results of the MPSO optimization, and comparing with standard PSO(SPSO) and traditional method, MPSO algorithm has better dynamic performance, provides a high performance methods for PID parameters optimization.
Safety Assessments for Wearable Robot Suits

A cyborg-type (or exoskeleton-type) robot suit is a wearable device that combines the human intelligence and the machine power so that it could enhance the intelligence of the machine and the power of the human operator. It could be worn over the arms and legs and assists body movement through electric motors attached to shoulders, elbows, knees, and the waist. It could be used in medical rehabilitation or to help people who suffered a stroke or spinal cord injury. It also could be used for people doing physically demanding work in factories or at disaster sites, even entertainment. This paper describes the basic technologies and concepts of wearable robot suits. It is followed by an overview of safety concerns and appropriate method to prevent the faults.
Predictive modelling of turning operations using response surface methodology, artificial neural networks and support vector regression

This paper focuses on developing empirical models for predicting surface roughness, tool wear and power required in turning operations. These response parameters are mainly dependent upon cutting velocity, feed and cutting time. Three competing data mining techniques, response surface methodology (RSM), artificial neural networks (ANN) and support vector regression (SVR), are applied in developing the empirical models. The data of 27 experiments have been used to generate, compare and evaluate the proposed models of tool wear, power required and surface roughness for the selected tool/material combination. Testing results demonstrate that the models developed in this research are suitable for predicting the response parameters with a satisfactory goodness of fit. It has been found that ANN and SVR models are much better than regression and RSM models for predicting the three response parameters. Finally, some future research directions are outlined.
Ultrasonic M-Mode RF Display Technique With Application To Flow Visualization

A technique to display digitally sampled RF A-lines using false color is described. The backscattered 5 MHz ultrasonic signal obtained from the constant laminar flow of a blood-mimicking substance is sampled at 50 MHz with an 8 bit A/D converter. The RF samples of each backscattered A-line are displayed vertically and consecutive A-lines are displayed side-by-side horizontally to form a 2D false color image. The 2D image of a typical blood flow phantom data set is used to graphically demonstrate the manner in which conventional Doppler processing and newer correlation processing concepts are related to patterns in the 2D M-mode RF display.
Risk Factors for Drug Resistance in Epileptic Children with Age of Onset above Five Years: A Case-Control Study

Background Children with epilepsy with onset above five years encompass distinct epidemiological and clinical characteristics that may have specific risk factors for resistance to antiseizure medications (ASMs). Studies on this age group are limited. Purpose To identify risk factors for drug resistance in children with epilepsy with the age of onset above five years. Methods A case-control study was conducted on children with epilepsy with the age of onset above five years visiting the Pediatric Neurology Clinic of Cipto Mangunkusumo and Mohammad Hoesin Hospital between September 2015 and August 2016. Cases consisted of drug-resistant children while control consisted of drug-responsive children according to 2010 ILAE classification. Risk factors studied include onset, number of seizures, illness duration before treatment, cause, seizure type, status epilepticus, initial and evolution of EEG, brain imaging, and initial treatment response. Results Thirty-two pairs of children were included in the study. After logistic regression analysis, symptomatic etiology and failure to achieve early response to treatment were found to be associated with drug resistance with adjusted OR of 84.71 (95% CI: 5.18-1359.15) and 72.55 (95% CI: 7.08-743.85), respectively. Conclusion Poor initial response to ASM and symptomatic etiology are independent risk factors for drug resistance in children with epilepsy with the age of onset above five years.
Evaluating groupware usability at the cognitive level of human action

This dissertation explores the importance of the cognitive level of human action in the evaluation and improvement of groupware usability. This research is motivated by the problem that current methods focus on the rational and social levels of human action and yet an increasing number of users relies on computers to fulfil collaborative tasks dominated by perceptual, cognitive, and motor skill. The first contribution of this research is a groupware interface model that leverages existing knowledge on cognitive-level behaviour with single-user interfaces by expanding its application to multi-user interfaces. To do this, I show that the key differences between users interacting with the computer and interacting with other users through the computer can be supported by specialised groupware information flows and input/output devices. The second contribution of this dissertation is a pair of methods for predicting groupware usability at the cognitive level of human action. The first method applies to scenarios of collaboration occurring routinely in shared workspaces. The second aims at capturing the intertwined nature of mixed-focus collaboration, encompassing shared and private workspaces. I use the methods to evaluate and compare the usability of competing designs in four scenarios of collaboration. The methods do not require user testing or functioning prototypes, so they can be integrated into the iterative process of interactive systems design. The third contribution of this research is the evaluation of an attentive electronic brainstorming tool, which implements a novel attentive device that adjusts the delivery of group awareness information according to users’ natural task switching between doing individual work and attending to the group. I present results from a laboratory experiment, which indicate that
Missing mentions: An analysis of references to African heads of government in US broadcast news

ABSTRACT References to African heads of government in broadcast news in the United States provides one framework through which the US news audience can better learn about African politics – and arguably one which is less fraught with potential misperceptions than news frames emphasising conflict and underdevelopment. This article reports the findings of a content analysis of various broadcast news programmes in the US over the period 2003–2020, with a view to the impact of that coverage on US foreign policy on Africa. What it reveals is that of the six broadcast news programmes in the study, only three – NPR's All Things Considered, CNN Newsroom and PBS NewsHour – made significant mention of African heads of government, and Egyptian and South African heads of government received disproportionate attention. The proposed result of such skewed news coverage is an impoverished US public opinion, with implications for US foreign policymaking.
Application of Fuzzy Logic to Simulation for Construction Operations

This paper describes the application of fuzzy logic to discrete event simulation in dealing with uncertainties of construction operations. The uncertainties in the quantity of resources required to activate an activity are modeled with fuzzy sets in linguistic terms. The fuzzy logic if-then rule is built to control the activation of activities. The duration of the activity that varies with the quantities of resources involved is determined through the fuzzy logic rule-based model. The fuzzy logic control of activities is incorporated with the activity scanning simulation strategy to implement the fuzzy simulation system for construction operations. In addition, the fuzzy activity element is adopted in the graphical modeling process. Examples are given that illustrate uses of the fuzzy simulation system and the impact of flexible demand of resources on productivity.
Role of steering wheel feedback on driver performance: driving simulator and modeling analysis

When driving in curves, how do drivers use the force appearing on the steering wheel? As it carries information related to lateral acceleration, this force could be necessary for drivers to tune their internal model of vehicle dynamics; alternatively, being opposed to the drivers' efforts, it could just help them stabilize the steering wheel position. To assess these two hypotheses, we designed an experiment on a motion-based driving simulator. The steering characteristics of the vehicle were modified in the course of driving, unknown to drivers. Results obtained with standard drivers showed a surprisingly wide range of adaptation, except for exaggerated modifications of the steering force feedback. A two-level driver model, combining a preview of vehicle dynamics and a neuromuscular steering control, reproduces these experimental results qualitatively and indicates that adaptation occurs at the haptic level rather than in the internal model of vehicle dynamics. This effect is related to other theories on the manual control of dynamics systems, wherein force feedback characteristics are abstracted at the position control level. This research also illustrates the use of driving simulation for the study of driver behavior and future intelligent steering assistance systems.
Density and mechanical properties of vertebral trabecular bone—A review

Being able to predict the mechanical properties of vertebrae in patients with osteoporosis and other relevant pathologies is essential to prevent fractures and to develop the most favorable fracture treatments. Furthermore, a reliable prediction is important for developing more patient‐ and pathology‐specific biomaterials. A plethora of studies correlating bone density to mechanical properties has been reported; however, the results are variable, due to a variety of factors, including anatomical site and methodological differences. The aim of this study was to provide a comprehensive literature review on density and mechanical properties of human vertebral trabecular bone as well as relationships found between these properties. A literature search was performed to include studies, which investigated mechanical properties and bone density of trabecular bone. Only studies on vertebral trabecular bone tissue, reporting bone density or mechanical properties, were kept.
Electro-Mechanical Maximum Power Point Tracking of Photovoltaic System

This paper is concerned with optimisation of the power produced by a photovoltaic (PV) panel through designing, building and implementing maximum power point tracking (MPPT). In the literature, the MPPT has been normally approached either electronically (using a DC-to-DC converter) or mechanically (controlling the orientation of a PV panel). In this paper, these two approaches are combined to yield more power. To this end, for a given PV panel (available at the first author’s institution) which is already equipped with a mechanical tracking device, a Buck (DC-to-DC) converter is designed to improve the power saving which could be achieved by the mechanical tracking alone. Also, new electronic and mechanical MPPT methods are developed, and their combination, so-called electro-mechanical MPPT, is tested in a real environment to verify its usefulness.