Miracle-dz/UniFAR-FTUs huggingface dataset:
“Makes sense to me!”: Participatory sensing, information visualization, and 3d representation

With the proliferation of physical and digital “maker technologies” into initiatives for collective empiricism (e.g. citizen science), tactical media, and biometric evaluation (e.g. quantified self), there is a pressing need to understand how the communities supporting these programs adopt and develop technologies that assist in the public dissemination of their findings. This interactive session aims to raise awareness of a growing tendency for sensing devices, information visualization, and 3D representation to be cast as part of an assemblage of agential technologies for civic engagement. We invite participants to both explore and trouble this tendency by initiating collaboration and dialogue around three intertwined activities: participatory sensing; information visualization; and data sculpture. By, first, constructing and deploying small-scale sensors, then creating multiple visualizations and physical representations (both digital and material), participants will explore the technical, social, and semantic challenges involved with collecting, interpreting, and disseminating personal data.
Do Your Classes Click?: Interactive Remotes Foster Effective Pedagogy

This chapter describes a study that examined the use of interactive remotes (clickers) in teacher education courses. In previous studies, interactive technology has been shown to increase student interest, participation, and learning in a variety of other disciplines. This study replicated those findings with pre-service and practicing teachers, but also investigated the clickers’ effects on teachers’ developing understanding of three evidence-based pedagogical practices: (1) active participation, (2) providing students with opportunities for frequent review and feedback, and (3) using formative assessment to guide instructional decisions. Results were overwhelmingly positive. Participants reported that using the technology developed their understanding of the targeted pedagogical practices, and this growth was reflected in their discussion of effective pedagogy after having used the interactive remotes. The chapter includes a review of the supporting pedagogical foundations, a discussion of the limitations of the current study and implications for further research.
Motion capture sensing techniques used in human upper limb motion: a review

Purpose Motion capture system (MoCap) has been used in measuring the human body segments in several applications including film special effects, health care, outer-space and under-water navigation systems, sea-water exploration pursuits, human machine interaction and learning software to help teachers of sign language. The purpose of this paper is to help the researchers to select specific MoCap system for various applications and the development of new algorithms related to upper limb motion. Design/methodology/approach This paper provides an overview of different sensors used in MoCap and techniques used for estimating human upper limb motion. Findings The existing MoCaps suffer from several issues depending on the type of MoCap used. These issues include drifting and placement of Inertial sensors, occlusion and jitters in Kinect, noise in electromyography signals and the requirement of a well-structured, calibrated environment and time-consuming task of placing markers in multiple camera systems. Originality/value This paper outlines the issues and challenges in MoCaps for measuring human upper limb motion and provides an overview on the techniques to overcome these issues and challenges.
A Fully Differential Variable Gain Amplifier for Portable Impedance Sensing Applications

This paper presents a Variable Gain Amplifier (VGA) designed in a 0.18 μm CMOS process to operate in an impedance sensing interface. Based on a transconductance-transimpedance (TC-TI) approach with intermediate analog-controlled current steering, it exhibits a gain ranging from 5 dB to 38 dB with a constant bandwidth around 318 kHz, a power consumption of 15.5 μW at a 1.8 V supply and an active area of 0.021 mm2.
A Real-Time 17-Scale Object Detection Accelerator With Adaptive 2000-Stage Classification in 65 nm CMOS

Machine learning has become ubiquitous in applications including object detection, image/video classification, and natural language processing. While machine learning algorithms have been successfully used in many practical applications, accurate, fast, and low-power hardware implementations of such algorithms is still a challenging task, especially for mobile systems such as Internet of Things (IoT), autonomous vehicles, and smart drones. This paper presents an energy-efficient programmable ASIC accelerator for object detection. Our ASIC accelerator supports multi-class (e.g., face, traffic sign, car license plate, and pedestrian) that are programmable, many-object (up to 50) in one image with different sizes (17-scale support with 6 down-/11 up-scaling), and high accuracy (AP of 0.87/0.81/0.72/0.76 for FDDB/AFW/BTSD/Caltech datasets). We designed an integral channel detector with 2,000 classifiers for rigid boosted templates, where the number of stages used for classification can be adaptively controlled depending on the content of the search window. This can be implemented with a more modular hardware, compared to support vector machine (SVM) and deformable parts model (DPM) designs. By jointly optimizing the algorithm and the efficient hardware architecture, the prototype chip implemented in 65nm CMOS demonstrates real-time object detection of 20–50 frames/s with low power consumption of 22.5–181.7 mW (0.54–1.75 nJ/pixel) at 0.58–1.1 V supply.
What Machines Understand about Personality Words after Reading the News

Moyer, Eric David. M.S. Department of Computer Science and Engineering, Wright State University, 2014. What Machines Understand about Personality Words after Reading the News Vector-based lexical semantics is a powerful technique that still has many undiscovered applications. In this thesis I apply a vector-space lexical-semantic model newly developed by Mikolov et. al. trained on skip-grams to the lexical hypothesis in personality psychology. The method produces interpretable dimensions that are consistent across several sets of descriptive personality words. The dimensions include ones for conflict and positive and negative evaluation. However they are more descriptive of word usage semantics than of the characteristics of the thing described and thus do not include a recognizable component of the 5 factor model in their first 14 dimensions. They do include a component that seems to indicate the degree to which the word applies to people that could be useful in identifying personality words in English.
Simple soft‐switched phase‐shifted FB converter for reduced voltage stress and negligible duty cycle loss

A simple modified configuration of the conventional phase-shifted full-bridge (C-PSFB) converter, phase-shifted FB converter without filter inductor (PSFB-w/o-L) is proposed in this study in order to reduce the peak voltage stress on the rectifier diodes. As the proposed configuration is devoid of filter inductor, it features lighter weight and low cost. As the proposed configuration is achieved eliminating the filter inductor, the maximum voltage that comes across the rectifier diode is limited to the output voltage, thus eliminating the need for snubber circuit. Additionally, the proposed PSFB-w/o-L has the advantage of negligible duty cycle loss. A comprehensive analysis on the mechanism of the peak voltage problem across the rectifier diode in the C-PSFB is addressed and the way it is eliminated in the proposed PSFB-w/o-L is described. The detailed analysis of the operation and design consideration of the proposed PSFB-w/o-L is presented. Simulation and experimental results are presented to verify the analysis.
Kognitive Automation für Radar- Anwendungen

In diesem Artikel wird eine kognitive Radararchitektur basierend auf dem Drei-Ebenen-Modell nach Rasmussen vorgestellt. Die fertigkeitsbasierte Verarbeitungsebene zeichnet sich durch adaptive Signalverarbeitungsverfahren und zielangepasste Wellenformen aus. Die regelbasierte Verarbeitungsebene umfasst die reaktive Ausfuhrung von optimalen Handlungssequenzen sowie Ressourcenmanagement. Die wissensbasierte Verarbeitungsebene ermoglicht langfristige, zielbasierte Missions- und Trajektorienplanung der Sensorplattform. Fur die einzelnen Ebenen werden verschiedene Algorithmen und Losungsverfahren in konkreten Anwendungsbeispielen erlautert.
Patterns for Data Migration

When an existing application is replaced by a new one, its data has to be transferred from the old world to the new. This process, known as data migration, faces several important requirements. Data migration must be accurate, otherwise valuable data would be lost. It must be able to handle legacy data of poor quality. It must be efficient and reliable, so as not to jeopardise the launch of the new application. This paper presents a collection of patterns for handling a data migration effort. The patterns focus on the design of the migration code as well as on process issues.
Multi-Resonance-Core-Based Dickson Resonant Switched-Capacitor Converters With Wide Regulation

The Cuk dual resonance core (DRC) realizes overlapped dual resonance to regulate its output voltage. However, the DRC configuration was only applied to the Fibonacci switched-capacitor converter (SCC), series–parallel SCC, and voltage doubler. In this paper, the Cuk DRC is modified and then is extended to the Dickson SCC to form a multi-resonance-core-based (MRC) Dickson resonant switched-capacitor converter. All charging and discharging loops achieve soft charging, and so the inherent capacitor charge sharing loss and the high current transient spikes are eliminated. The modular configuration makes the MRC Dickson easy to be extended to a higher voltage level. The on-time fixed frequency modulation is adopted, all transistors being turned on with zero-current-switching (ZCS) operation and all diodes being turned off with ZCS operation. Most importantly, the conversion ratio of the MRC Dickson can be regulated continuously, widely, and efficiently even at light load condition, which is a huge advantage over the traditional Dickson SCC with limited control headroom. A comprehensive analysis of the operation principle, voltage-gain curve, component stress analysis, and output characteristic is provided. The converter operation principle and regulation capability were verified by both simulation and experiment.
Power Control and Fault Ride-Through Capability Analysis of Cascaded Star-Connected SVG under Asymmetrical Voltage Conditions

The cascaded H-bridge static var generator (SVG) has been employed to provide reactive power and regulate grid voltages for many years because of its good modularity, easy scalability, and improved harmonic performance. A novel cluster-balancing power control method combining negative-sequence currents and zero-sequence voltage is proposed to redistribute the unbalanced active powers and eliminate the power oscillation under asymmetrical conditions. Simultaneously, the dynamic performance of the SVG power balance control can be improved under asymmetrical conditions with the zero-sequence voltage expression derived in this paper. On the basis of the proposed method, the fault ride through capability of star-connected SVG under asymmetrical conditions is compared among active power oscillation elimination (APOE), reactive power oscillation elimination (RPOE), and balanced positive sequence current (BPSC) injection references calculation strategies from the perspective of the zero-sequence voltage, maximum phase voltage, and maximum phase current. The method provides the theoretical reference for power control under asymmetric conditions and the analysis results show that under asymmetrical conditions, the current of BPSC is minimal and symmetrical, while the RPOE has the least voltage and no zero- sequence voltage needs to be injected. Finally, the results of simulation and experiment have been given to verify the theoretical studies.
An Untrimmed BJT-Based Temperature Sensor With Dynamic Current-Gain Compensation in 55-nm CMOS Process

This brief presents a bipolar junction transistor (BJT)-based CMOS temperature sensor without trimming. A current-mode readout scheme with dynamic current gain compensation is proposed to reduce the error caused by the low current gain <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula> of the substrate BJT in nanometer CMOS technologies. Combining this readout scheme with techniques, such as chopping and dynamic element matching (DEM), the sensor achieves a high untrimmed accuracy for auto-calibration in thermal management applications. Fabricated in a standard digital 55-nm CMOS process, the sensor shows a measured inaccuracy within ±1.7 °C (<inline-formula> <tex-math notation="LaTeX">$3\sigma $ </tex-math></inline-formula>) from −40 °C to 125 °C without calibration. It occupies a die area of 0.0146 mm<sup>2</sup> and has a power consumption of <inline-formula> <tex-math notation="LaTeX">$37~\rm \mu \text{W}$ </tex-math></inline-formula> with an adjustable resolution from 12 to 15 bit and a conversion time of 4.1–32.8 ms.
Emergent planning for South Africa's blue economy: Evidence from coastal and marine tourism

Ocean-based industries are in focus in terms of expanding debates and planning around the blue economy. Against this backdrop the objective in this paper is to examine contemporary directions in South Africa concerning planning for the blue economy as a whole and more specifically for the sector of coastal and marine tourism. Using documentary analysis of official planning and strategic documents, South Africa’s blue economy strategy, which is titled ‘Operation Phakisa’, is unpacked and critiqued. Attention shifts to examine current directions and challenges of unfolding planning for the expanded development of coastal and marine tourism in South Africa. It is shown that uneven spatial development characterises the existing coastal tourism economy. Arguably, tourism planning is linked to Operation Phakisa which is being challenged for a number of shortcomings, most importantly for prioritising investment attraction and economic growth stimulation over issues about the conservation of maritime resources.
Nonlinear Synchronous Control for H-Type Gantry Stage Used in Electric VehiclesManufacturing

The H-type gantry stage (HGS) is widely used in electric vehicle manufacturing and other fields. However, resulting from the existence of mechanical coupling, the synchronous control problem of HGS always troubles many engineers. Most synchronization schemes were either engaged in improving each motor’s tracking performance or committed to pure motion synchronization only. However, tracking and synchronous performance are interconnected, because of the mechanical coupling. In this paper, a rigid assumed system model of HGS, concerning the effects of mid-beam rotary inertia, mid-beam stiffness, and end-effector movement, is presented. Based on the proposed model, an adaptive robust synchronous control based on a rigid assumed model (ARSCR) is proposed to improve both synchronous and tracking performance of the HGS. From the Lyapunov analysis, the proposed ARSCR can achieve the convergence of synchronous error and tracking error, simultaneously. An HGS driven by dual linear motors is built and used to perform the experimental verification. The experimental results indicate the effectiveness of the proposed method.
Modulation Methods for 3L-NPC Converter Power Loss Management in STATCOM Application

The uneven power loss distribution among the semiconductor devices is one critical issue of the three-level neutral-point clamped converter. Besides, different operating conditions will result in different loss distribution profiles. The case with low power factor and high modulation usage, which is common in the static synchronous compensator (STATCOM) application, has not been paid much attention to in the literature. In this paper, the power loss distribution under this condition is discussed. And a novel carrier-based modulation technique is proposed to balance the power loss distribution and reduce the power loss in the most stressed device. In addition, an active neutral-point (NP) voltage balancing control strategy is also proposed based on the proposed modulation scheme. Simulation and laboratory results are presented to verify the performances of the proposed modulation technique in power loss redistribution and NP voltage control. Its influence on the output current harmonic performance is also evaluated.
Coping with institutional complexity

Purpose Digital transformation projects are complex, lengthy and difficult to implement, often failing to meet their objectives. Previous research has attributed this failure to competing institutional logics influencing actors’ coping responses, and differences in actors’ interpretations of the project’s goals, technology and processes - their “organising vision”. The purpose of this paper is to analyse a complex technology implementation project from an institutional perspective, to further elucidate the role of multiple logics and organising vision. Design/methodology/approach A qualitative single study approach was used to investigate a public-sector technology project aimed at delivering a unified Human resource information system (HRIS) across regional health organisations in one country. Findings Four logics characterised the project (public sector, professional, corporate and market), but their relative dominance shifted as the project transitioned through stages, from comprehension to implementation. These shifts exposed tensions between components of actors’ organising vision, which influenced their coping behaviours in response to unexpected changes in the project’s strategic ambitions and technological scope. Coherence of vision, both within groups of actors and between them, was a key mediator of coping responses and project outcomes. Originality/value This analysis demonstrates the role of actors’ organising vision in bridging institutional logics and coping responses to shape digital transformation projects. It highlights the need to account not only for diverse institutional logics, but also for their changing influence as projects unfold and actors’ attention is directed onto different aspects of the organising vision. From a management perspective, it illustrates the importance of clear and consistent communication, to avoid entrenching conflicting interpretations.
Cadmium Addition Effects on Anaerobic Digestion with Elevated Temperatures

Anaerobic fermentation with biogas as an energy source is influenced by the presence of heavy metals. However, the availability of the heavy metals is dependent on the digestion temperature. In this study, the impacts of Cd on the characteristics of biogas, substrate biodegradation, and enzyme activity during anaerobic co-digestion were investigated under varying digestion temperatures. The results showed that 1 mg/L initial Cd concentration improved cumulative biogas yields by 404.96%, 16.93%, and 5.56% at 55 °C, 45 °C, and 35 °C, respectively. In contrast, at low temperatures (25 °C), the yield decreased by 0.77%. In the 55 °C group, Cd addition improved the activity of cellulase (p < 0.05) and coenzyme F420 (p < 0.01). The total chemical oxygen demand (COD) during the peak period and the transformation of hydrolytic organic components into volatile fatty acids (VFAs) influenced the CH4 and biogas yields. There were no significant differences in cellulase, dehydrogenase, and coenzyme F420 activities with or without Cd addition when the digestion temperature was 45 °C, 35 °C, and 25 °C. Therefore, thermophilic digestion is recommended for the efficient degradation of Cd-contaminated biowaste. Moreover, the impact of metals on the performance of anaerobic digestion should be considered together with temperature conditions in future research and practice.
Predicting the Impact of Climate Change on Thermal Comfort in A Building Category: The Case of Linear-type Social Housing Stock in Southern Spain

The Climate Change scenario projected by the IPCC for the year 2050 predicts noticeable increases in temperature. In severe summer climates, such as the Mediterranean area, this would have very negative effects on thermal comfort in the existing housing stock, given the current high percentage of dwellings which are obsolete in energy terms and house a population at serious risk of energy poverty. The main aim of this paper is to generate a predictive model in order to assess the impact of this future climate scenario on thermal comfort conditions in an entire building category. To do so, calibrated models representing linear-type social multi-family buildings, dating from the post-war period and located in southern Spain, will be simulated extensively using transient energy analyses performed by EnergyPlus. In addition, a sensitivity analysis will be performed to identify the most influential parameters on thermal discomfort. The main results predict a generalized deterioration in indoor thermal comfort conditions due to global warming, increasing the average percentage of discomfort hours during the summer by more than 35%. This characterization of the future thermal behaviour of the residential stock in southern Spain could be a trustworthy tool for decision-making in energy retrofitting projects which are so badly needed. To do so, further work is required on some limitations of this model so that different user profiles and typologies can be represented in detail and an economic assessment can be included.
Electromagnetic Digital Microactuators Remote Control by a Parallel Dual Wavelengths Optical Communication System

In this paper, a parallel dual wavelength optical communication channel is presented. A custom optical sensor based on a double Fabry-Perot structure is described. It allows the system to instantaneously demultiplex the incident wavelengths as well as offers noise rejection, such as ambient light. It allows sending two bits in only one pulse of light. Contrary to other optical approaches, the presented approach differs in that it uses a wide optical spectrum and only inexpensive electronics. The usefulness of this free space, point-to-point, communication channel is demonstrated in the remote control of an electromagnetic digital microactuator. Thanks to a proper algorithm in the receiver, the proposed system is able to control all the degrees of freedom of the microactuator with a movement for every pulse of light.
Cluster Based DDoS Detection Method in Data Mining

—Distributed denial of service attacks (DDoS) are a growing threat to business worldwide. By adopting new purpose built solutions designed specifically to detect and defeat DDoS attacks, businesses can keep their business operation running smoothly. Data mining algorithm is used presents a DDoS attack detection model. Experimental result source that DDoS attacks can be detected efficiently and swiftly
Analysis and Classification of EEG Signals Related to Arithmetic Operations

The advancement in computer hardware and digital signal processing made possible use of brain signal for the communication between human and computers. The electroencephalogram contains the information of brain signals. This paper focuses on mental tasks classification from electroencephalographic (EEG) signals. The four arithmetical mental tasks considered are calculation, counting, reminding along with relaxation. The database of four subjects was collected and used as training dataset. The features have been extracted from the delta, theta, alpha and beta of EEG bands in frequency domain. These features were analyzed and classified using the Linear Discriminant Analysis (LDA) classifier. Cluster Pattern indicates that these four mental tasks can be classified and recognized using EEG signals.