Miracle-dz/UniFAR-FTUs huggingface dataset:
Impacts of State Instability and Retention Failure of Filamentary Analog RRAM on the Performance of Deep Neural Network

In this work, an evaluation methodology is proposed to study the impacts of state instability and retention failure of filamentary analog resistive random access memory (FA-RRAM) on the performance of deep neural networks (DNNs). Based on the methodology, an analytic model for the statistical state instability and retention behaviors is applied to evaluate the impacts of the reliability of FA-RRAM on an 11-layer FA-RRAM-based DNN for CIFAR-10 recognition. Simulations indicate that the recognition accuracy of the 11-layer DNN decreases rapidly with the increase of the baking time (t = 104s, 16.3% accuracy loss at 125 °C) due to the overlapping among neighboring resistance levels. To mitigate the accuracy loss caused by state instability and retention failure, the optimization method including the optimized synapse cell and the refresh operation scheme is developed. With the optimization method, the robustness of the FA-RRAM-based DNN is enhanced significantly in which no accuracy loss is observed even after 107s (at 125 °C, ${5} \times {10}^{{3}}$ s/refresh).
Balancing Control of a Self-driving Bicycle

In this research, a self-driving bicycle is constructed and the balancing control using the handlebar is studied. The controller is designed based on a model which characterizes the bicycle’s lateral dynamics under speed variations. As the model can be decomposed into a convex combination of four linear subsystems with time-varying coefficients, the proposed controller also consists of a convex combination of four linear, full-state feedback controllers. It is proved that if the full-state feedback controllers satisfy a set of linear matrix inequalities, the bicycle can maintain its lateral stability regardless of speed changes. Both simulations and experiments verify that the proposed controller can achieve robust balancing performance under various operating conditions.
Natural hazard mitigation strategies review: Actor–network theory and the eco-based approach understanding in Zimbabwe

This paper presents the literature reviewed on the evolution of the natural hazard mitigation perspective and an overview of its progression to date. The article uses information taken from diverse sources such as a globally accepted scientific databases Google Scholar (http://www.scholar.google.co.in), Scopus (http://www.scopus.com), Science Direct (http://www.sciencedirect.com), SpringerLink (http://www.springer.co.in) and Wiley (http://www.onlinelibrary.wiley.com); conference proceedings; theses; abstracts; and impact and non-indexed journals. It demonstrates how the actor–network theory (ANT) theoretical framework can be applicable to Muzarabani in Zimbabwe as a tool for analysing and elaborating hazard mitigation strategies. Actor–network theory is gradually becoming influential but is still a bone of contention, mainly because of its radical approach. Actor–network theory treats humans and non-humans as equal actors. In spite of its limitations, studies have shown that an ANT-grounded approach is useful in providing a framework for the comprehension of the complexities of daily life during natural hazard episodes and the dynamic role of Ziziphus mauritiana in the network in Muzarabani, Zimbabwe. The theory can demonstrate its importance in respect of how social results are produced as a result of linkages among diverse actors (human and non-human) in a network. The article argues that if ANT is used logically it is useful in examining eco-based natural hazard mitigation and resilience approaches in semi-arid regions.
Research on IPT Resonant Converters With High Misalignment Tolerance Using Multicoil Receiver Set

This article provides a comprehensive analysis of the contactless resonant converters using a multicoil receiver set for high misalignment tolerance, with emphasis on the cooperative mechanism of multiple coils and a quantitative analysis of the operating characteristics. The collaborative operation of multiple receiving coils with various compensation circuits and connection types is discussed. A series–parallel compensated converter using a DD2Q receiver set with parallel connection for the multiple rectified outputs is used to illustrate the analysis procedure. Two methods are presented here, namely numerical calculation for the normal case and analytical derivation under three typical misalignments. With the help of switching functions, the general output voltage gain can be derived, which provides direct insight into the cooperation of multiple coils and a practical approach for reducing the output fluctuation. Simulation and experimental verifications are included to confirm the analytical results.
Timeline Storyteller: The Design & Deployment of an Interactive Authoring Tool for Expressive Timeline Narratives

The interface of Timeline Storyteller, where the timeline canvas spans the entire browser window. Interface components include: (A) toggles for alternative timeline representations, scales, and layouts; (B) a movable event legend; (C) widgets for loading data, annotating the canvas with captions and images, filtering and highlighting events, and exporting content; (D) scene recording and playback controls along with a scene list; and (E) tutorial and help widgets. This example displays a scene from a story about the performance record of professional golfers at the US Open golf tournament throughout their careers (see the interactive story at https://aka.ms/timelinestoryteller-golf-story). Golfer images: Wikimedia (CC). Timeline Storyteller (timelinestoryteller.com) is an open-sourced interactive application for authoring expressive visualization-based narratives about event sequences. Its design reflects a recently proposed timeline design space, which itself is grounded in an extensive survey. In this paper, we highlight its capabilities and reflect upon its usage and adoption.
Active Power Oscillation and Suppression Techniques Between Two Parallel Synchronverters During Load Fluctuations

Active power oscillation is observed when two or more parallel synchronverters undergo load fluctuations, potentially impacting the safe operation of the synchronverters. This article provides a fundamental analysis for the power oscillation mechanisms and proposes a new control strategy for suppressing power oscillation especially the oscillation excitation is proposed. It is found that power oscillation is inherently caused by weak damping and large inertia of the synchronverters under the condition of undesirable instantaneous active power sharing. Then, the condition for reducing the oscillation excitation of synchronverters, which is caused by undesirable instantaneous active power sharing, is deduced. The new control strategy effectively suppresses the power oscillation by adding a virtual damping element for enhancing the system damping and a virtual reactance for reducing the oscillation excitation to the conventional control scheme without changing the basic dynamic and steady characteristics of the synchronverters. The theoretical analysis and the proposed oscillation suppression control techniques are validated with an extensive hardware-in-loop simulation study.
Asymmetric Cascaded H-Bridge Multilevel Inverter With Single DC Source per Phase

This article proposes a self-balanced cascaded H-bridge multilevel inverter with a binary asymmetric ratio. The inverter uses only one dc source per phase that will feed the H-bridge with the highest dc-link voltage (called main bridge). The dc links of all other H-bridges (called auxiliary bridges) are formed by floating capacitors. Floating capacitors converge to the corresponding steady-state voltages by the principle of a level-doubling network without using any closed-loop control technique. In a steady state, the dc-link voltage of each auxiliary bridge will be equal to half of the dc-link voltage of its preceding H-bridge. This will result in an inherent binary asymmetric ratio among all the dc-link voltages. Operation of the proposed topology is validated by MATLAB simulations and experimentation on the hardware prototype. Experimental results match well with simulation results.
Global High-Order Sliding Mode Controller Design Subject to Mismatched Terms: Application to Buck Converter

This paper studies the high-order sliding mode (HOSM) control for a general class of uncertain nonlinear systems. Firstly, the standard sliding mode system is extended to a new sliding mode system subject to mismatched terms. The use of the new sliding mode system can reduce the system uncertainties in the control channel and relax the well defined relative degree assumption. Secondly, the conventional constant upper bounds assumption is relaxed to time-varying positive functions, which enables us to obtain a global result. For the new sliding mode system under the new global assumption, a novel HOSM controller, that has a simple relay polynomial form, is then proposed. By introducing a new continuous component in the controller, the discontinuous component of the controller only needs to be selected to suppress the uncertainties and thus a controller with minimal discontinuous component magnitude can be implemented. Finally, strict Lyapunov analysis is provided to show the globally finite-time stability of the closed-loop sliding mode system and an application to Buck converter is presented.
Control Strategy for MGT Generation System Optimized by Improved WOA to Enhance Demand Response Capability

The grid-connected micro gas turbine (MGT) generation system is playing an important role in power systems because of its demand response capability and application in combined heat and power (CHP) systems. When applied to promote demand response, the generation system is expected to respond to follow instructions quickly, but a rapid response harms the safety and is not conducive to the benefits of customers, which leads to a contradiction. In this paper, a closed-loop power control is introduced for the MGT to improve demand response capability. The rate of fuel valve opening is limited so as to protect the equipment from thermal fatigue threats. An optimization method is developed for identifying the control parameters, balancing the response time and unrealized energy in the regulation process. An improved whale optimization algorithm (IWOA) is proposed to implement the optimization. Results of the algorithm performance verify that WOA is competitive with other heuristic algorithms, and IWOA is more suitable for parameter optimization problems than WOA because of better efficiency and exploitation capability. Results of power response further indicate that the proposed control strategy can achieve expected aims and is suitable for the MGT generation system.
Organizational factors influencing project success: an assessment in the automotive industry

Paulo, SP, Brasil *daniel.jugend@unesp.br Abstract Paper aims : Although many researchers have identified important factors for project success, there is no consensus with regard to all the factors that influence project success. This work aims to assess organizational factors that influence project success in automotive firms. Originality : Few studies have analyzed the integrated relationship between organizational factors and project success. Research method : The study carries out a quantitative survey on a sample of 72 companies. Data were analyzed through confirmatory factor analysis. Main findings : The results show that the variable that most influences project success is ‘organizational culture’, followed by ‘change management’, and ‘top management support’. The results also indicate that a culture of flexibility and a climate that supports innovation tend to positively influence project performance. Implications for theory and practice : The findings suggest that it is relevant to focus attention on human resource development, empowerment, and teamwork within the analysis, this work tested the influence of five organizational factors on the success of projects. Given that all hypotheses can be considered valid, the conceptual construct used reveals itself to be coherent when applied to a sample within the automotive context in Brazil. Although the literature indicates that good individual management of the five investigated factors—top management support, communication, change management, organizational culture, and training—favor the success of projects, this study may contribute to the literature by offering a model that considers, in an integrated way, the analysis of the impact of these factors on the success of projects, this being a relevant contribution to this work.
Three-Dimensional Aerodynamic Optimization of Single-Layer Reticulated Cylindrical Roofs Subjected to Mean Wind Loads

This paper presents a procedure to optimize the rise-to-span ratio of single-layer reticulated cylindrical roofs to improve their aerodynamic performance, by coupling the optimization method with computational fluid dynamics (CFD) and finite element analysis (FEA). Four turbulence models (standard k-ε, RNG k-ε, SST k-ω, and RSM) were used to predict the mean wind loads on cylindrical roofs. The simulation results were compared with wind tunnel data, and the RSM turbulence model was employed. The aim of this paper is to determine the best performing rise-to-span ratio of cylindrical roofs based on the gradient algorithm. Two objective functions were considered to minimize the highest mean suction on the roof surface and the maximum response displacement of the single-layer reticulated cylindrical shell subjected to mean wind loads. The results revealed that a cylindrical roof with a rise-to-span ratio (R/S) of 1/6.25 seems to be most effective in attenuating high suctions on the roof surface. In addition, a single-layer reticulated cylindrical shell with R/S = 1/5.5 gives the best performance in reducing the maximum response displacement against wind loads.
VisuaLeague II - Animated maps for performance analysis in games

The phenomenon of eSports has been increasing over the years as well as the interest in online video games by players, coaches and analysts. One of the most popular genres of these games is the Multiplayer Online Battle Arena (MOBA) and during a match there are several types of events. These events, or actions, can range from the path a player traveled from one point to another, to more specific events in the match, such as the position where the player died. Analyzing this type of data by these stakeholders can generate pattern recognition allowing them to define new strategies that help players improve their performance. With the evolution of technology, it has become easier to use telemetry techniques to record events in online games, which leads to a high volume of data that can be collected over time. The objective of this work is to use the telemetric data provided by Riot Games, from League of Legends (LoL) matches, to redesign a prototype that explores the animated maps visualization technique, improving its computational performance, solving problems such as overlapping events and analysis only up to two players. Additional visualization techniques were applied to mitigate the above-mentioned problems, as well as the addition of other techniques to present static and statistical data. Finally, a comparison between the developed tool (VisuaLeague II) and other existing ones in the market (OP.GG and LoL’s Replay) was performed to understand if the visualization techniques implemented are adequate for analyzing player’s performance. The study carried out suggests that participants demonstrated a more positive attitude towards using VisuaLeague II and LoL’s Replay rather than OP.GG as an analysis tool, simply because better visualization techniques are being used to visualize spatio-temporal data. In addition, viewing static and statistical data, along with displaying spatio-temporal data, improves the player’s performance analysis.
Bi-Directional Junctionless Transistor for Logic and Memory Applications

This article reports on logic and memory functionality of vertically stacked bidirectional junctionless (BiJL) transistor, which can be operated as nMOS or pMOS depending on the biases applied. An inverter can be realized with a single BiJL transistor. If a complement of inputs is available, then NAND, NOR, and XOR logic can also be realized through a single BiJL transistor. The thickness of separation oxide between n-type and p-type films can be utilized to either achieve hysteresis or the absence of the same. Results provide insights into device physics, operation, and showcase new viewpoints for designing logic and memory devices with vertically stacked JL architecture, thus achieving the desired functionality with a lesser number of transistors.
Localization of Moving Objects Based on RFID Tag Array and Laser Ranging Information

RFID (radio-frequency identification) technology is rapidly emerging for the localization of moving objects and humans. Due to the blockage of radio signals by the human body, the localization accuracy achieved with a single tag is not satisfactory. This paper proposes a method based on an RFID tag array and laser ranging information to address the localization of live moving objects such as humans or animals. We equipped a human with a tag array and calculated the phase-based radial velocity of every tag. The laser information was, first, clustered through the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm and then laser-based radial velocity was calculated. This velocity was matched with phase-based radial velocity to get best matching clusters. A particle filter was used to localize the moving human by fusing the matching results of both velocities. Experiments were conducted by using a SCITOS G5 service robot. The results verified the feasibility of our approach and proved that our approach significantly increases localization accuracy by up to 25% compared to a single tag approach.
Improved Double Selection Sort using Algorithm

In this paper, we present the work regarding the selection sorting technique for double ended selection sort. This sorting algorithm is both theoretical and programmatically analysis show that the introduce advance selection sort algorithm which enhances the performance of selection sort. It is much faster than the selection sort because of its selection of minimum and maximum elements simultaneously. Advance selection sort algorithm possibility of enhancing execution speed up to 30%. Code for this algorithm is written in C programming Language. So easy to understand the concept of this sorting algorithm by everyone because C is the popular language. Results and discussion show a higher level of performance for the sorting algorithm. It can theoretically prove that the algorithm can reduce steps with the selection short and will improve N2 sorts toward NlogN sort.
Jaya Algorithm-Assisted Evaluation of Tooth Elements Using Digital Bitewing Radiography Images

A considerable number of heuristic procedures are widely implemented to evaluate biomedical images. This chapter proposes an evaluation procedure for digital bitewing radiography (DBR) images using the Jaya algorithm. The proposed procedure implements an image processing technique by integrating of the multi-thresholding and segmentation procedure to extract the essential tooth elements recorded with DBR. In this paper, 80 dental x-ray images are considered for the evaluation. The performance of the proposed procedure is confirmed using a relative assessment between the extracted section and its corresponding ground-truth. The results of this study confirm that, for most of the DBR cases, the proposed approach offers better values of picture likeliness measures. Hence, this technique can be considered for the automated detection of tooth elements from the DBR obtained from clinics.
A Primary School-based Educational Program to Improve Fall Skills; Process Evaluation Alongside a Cluster Randomized Controlled Trial

In this study, the process evaluation of an educational program to improve fall skills in primary school age children was conducted alongside a cluster randomized controlled trial using the RE-AIM framework. Thirty-three schools participated in a cluster-randomized controlled trial. Seventeen schools were randomly allocated to the intervention group. Injuries were registered during a school year. Fall skills were assessed using self-reports and a fall skills test. And questionnaires were used to evaluate experiences of both children and teachers with the educational program. All children participating in physical education lessons were reached. The program was effective in increasing self-perceived fall–skills and the score on a fall-skills test (0.94 points), but the change in fall-related injury rates did not reach significance. Fourteen percent of invited schools was willing to Adopt the educational program. And although participating teachers were positive about the educational program, 89% failed to implement the exercises as intended. Lastly, 54% of the teachers intended to maintain the educational program in their regular teaching routine. Given that many teachers failed to implement the intervention as intended, it is promising that fall skills in children did significantly improve after the intervention. The reason why this did not result in corresponding decrease in fall related injury risk remains unclear. Adjusting the educational program to better fit the needs of teachers potentially increases adoption of the program which could result in a more effective educational injury prevention program.
Two-dimensional Hkinematics of bulgeless disk galaxies

We present two-dimensional Hvelocity fields for 20 late-type, disk-dominated spiral galaxies, the largest sample to date with high-resolution Hvelocity fields for bulgeless disks. From these data we derive rotation curves and the location of the kinematic cen- ters. The galaxy sample was selected to contain nucleated and non-nucleated galaxies (as determined from prior HST imaging), which allows us to investigate what impact the gas kinematics in the host disk have on the presence (or absence) of a nuclear star cluster. In general, we find that the velocity fields span a broad range of morpholo- gies. While some galaxies show regular rotation, most have some degree of irregular gas motions, which in nearly all cases can be either attributed to the presence of a bar or is connected to a rather patchy distribution of the Hemission and the stellar light. There appears to be no systematic difference in the kinematics of nucleated and non-nucleated disks. Due to the large fields of view of the integral field units we use, we are able to observe the flattening of the rotation curve in almost all of our sample galaxies. This makes modeling of the velocity fields relatively straight-forward. Due to the complexities of the velocity fields, we obtain reliable determinations of the kinematic center for only 6 of our 20 sample galaxies. For all of these the locations of the nuclear star cluster/photometric center and the kinematic center agree within the uncertainties. These locations also agree for 7 more objects, despite considerably larger uncertainties as to the accuracy of the kinematic center. If we disregard all kinematically irregular galaxies, our study concludes that nuclear star clusters truly occupy the nuclei, or dynamical centers, of their hosts. Our results are thus consistent with in-situ formation of nuclear star clusters. Yet, many well-motivated formation scenarios for nuclear clusters invoke off-center cluster formation and subsequent sink- ing of clusters due to dynamical friction. In that case, our results imply that dynamical friction in the centers of bulgeless galaxies must be very effective in driving massive clusters to the kinematic center.