Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of information transmission over inter-vehicle communications with simulation studies

This paper presents simulation studies on the incident transmission system over the inter-vehicle communications, and investigates the relation between the information transmission over the inter-vehicle communications and the penetration rate of the communication unit. The inter-vehicle communications with the 5.8 GHz DSRC (dedicated short range communications) and a traffic flow based on the time headway on an expressway are modelled for the simulation. The simulation results show that the information relayed via equipped vehicles can be transmitted at the level of the practical use when the penetration rate is over 20%.
Immune-Based Systems on Network Security Situation Awareness and Risk Prediction Model

In this paper, the process of the developments and changes of the network intrusion behaviors were analyzed. An improved epidemic spreading model was proposed to study the mechanisms of aggressive behaviors spreading, to predict the future course of an outbreak and to evaluate strategies to control a network epidemic. Based on Artificial Immune Systems, the concepts and formal definitions of immune cells were given. And in this paper, the forecasting algorithm based on Markov chain theory was proposed to improve the precision of network risk forecasting. The data of the Memory cells were analyzed directly and kinds of state-spaces were formed, which can be used to predict the risk of network situation by analyzing the cells status and the classification of optimal state. Experimental results show that the proposed model has the features of real-time processing for network situation awareness.
Two‐color fluorescent proteins reporting survivin regulation in breast cancer cells for high throughput drug screening

Reporter gene assay is widely used for high throughput drug screening and drug action mechanism evaluation. In this study, we developed a robust dual‐fluorescent reporter assay to detect drugs repressing the transcription of survivin, a cancer biomarker from the inhibitor of apoptosis family, in breast cancer cells cultured in three‐dimensional (3D) microbioreactors. Survivin is overexpressed in numerous malignancies but almost silent in normal tissue cells and is considered a lead target for cancer therapy. Breast cancer MCF‐7 cells were engineered to express enhanced green fluorescent protein driven by a survivin promoter and red fluorescent protein driven by a cytomegalovirus promoter as internal control to detect changes in survivin expression in cells as affected by drugs. This 3D dual‐fluorescent reporter assay was validated with YM155 and doxorubicin, which were known to downregulate survivin in cancer cells, and further evaluated with two widely used anticancer compounds, cisplatin, and epigallocatechin gallate, to evaluate their effects on survivin expression. The results showed that the 3D dual‐fluorescent reporter assay was robust for high throughput screening of drugs targeting survivin in breast cancer cells.
How to Go GloCal: Omni-Brand Orientation Framework

The authors develop an omni-brand orientation framework that is a bidimensional conceptualization allowing global (local) brand elements to coexist alongside local (global) elements to create a “gloCal” brand. Using an interpretive analysis of interviews with 50 executives, the authors offer new insights into building and succeeding as a gloCal brand. The study shows that global brands are trying to become gloCal by building and nurturing local authenticity. The building blocks of local authenticity are brand image local connection, local iconness, local insights, and originality. Local brands, in turn, try to become gloCal by achieving global acceptance, a perception identified closely with global brands. The building blocks of global acceptance are perceived brand globalness, innovation, product performance quality, and global brand power. A follow-up study with 19 executives dives deeper into the drivers of success and leads to a conceptualization of a gloCal success cycle, which identifies components and strategies that enable brands to win both globally and locally.
Evaluating Tenney's critical band using a computational model of the human cochlea

To understand and formalize the perceptual outcomes produced by certain orchestration techniques, researchers studying the psychology of timbre rely largely on combining the listeners perception reports with audio analysis of musical excerpts. Despite their ability to predict many aspects of auditory perception, mathematical auditory models have been scarcely explored in understanding the neurophysiological basis of music perception. If implemented, these models can quickly simulate physiological responses thought to mediate the perception of various timbral effects. Using a computational auditory model (Zilany et al., 2014), we present a physiological analysis of an excerpt from Critical Band (Tenney, 1988/2000), which uses loudness fluctuations as a structural element to create implicit timbral phenomena such as beat frequency and roughness. In this study, the results of the score analysis, audio analysis, and auditory model predictions were compared. The score analysis (Fakhrtabatabaie, 2020) suggested an implicit timbral component that the audio analysis of a computer realization of the score was not able to demonstrate. However, the auditory model prediction supported the timbral effect observed in the score analysis. The results of this study suggest that the auditory model can successfully provide a neurophysiological correlate of an aspect of perception of a complex musical stimulus. The use of an auditory model in future research may help with interpreting the score and predicting what perceptual experiments are likely to reveal.
3D Contour Shaping of Buried Objects in Soil

Abstract. The basic question of this paper was, whether a detected anomaly found in the ground during an explosives disposal process is actually a non-detonated bomb or non-dangerous metallic scrap. Based on a borehole radar, an approach is to be presented in which first a 2-dimensional contour of the object is created with the aid of a spatial runtime evaluation. By repeating this step at different depths with subsequent graphic overlay, a 3D shape of the buried object is created. The method is first tested using a simulation model with inhomogeneous soil. In the second step the method will be applied and evaluated using a field measurement of a real object. The results shows that both 2D and 3D evaluations reflect the position and orientation of the object. Furthermore, the shape and the dimensions can be estimated, with the restriction that the 3D contour has distortions along the vertical axis. The aim of this work is to show an application of borehole radar, with which the identification of buried objects should be facilitated.
Asymmetrical Gauss-Hermite beam-mode analysis of the hexagonal horn

Asymmetrical Gauss-Hermite beam-mode analysis is presented to investigate the hexagonal horn. The fractional power in the fundamental beam mode is approximately 86%. The near- and far-field radiation patterns are calculated. The high fractional power in the fundamental beam mode of the horn indicates that it can be used as an efficient Gaussian beam launcher in quasi-optical systems.
Agritourism as a Form of Free Time Activity Among Families with Kids in Poland

: Purpose: The purpose of the article is to show agritourism as a form of free time activity for families. Several research problems were adopted in the study. These include, which elements of the village and agriculture are rural tourism potential? what locations are preferred by tourists? what are the reasons for choosing agritourism as a way of spending free time, and what influences the choice of a specific facility? what forms of spending time during the stay in the countryside were chosen by tourists and what activities did the respondents most often take with their children? Design/Methodology/Approach: The study involved a literature review and a diagnostic survey based on a questionnaire. The survey was disseminated in 2019 through social media - Facebook. The sample included 234 people who recently rested on an agritourism farm with children under 14 years old. Findings: The respondents preferred several shorter breaks to one longer farm stay. The most appealing locations of agritourism farms included destinations near a lake or river, the mountains or the sea. Recreation in the countryside was valued by the respondents mainly due to the tranquillity of the farmland atmosphere and health benefits of rural areas. The choice of a particular farm was mostly determined by the price, as well as the distance and convenience of getting there. The most enjoyed recreational physical activities undertaken in the country included hiking and cycling. The responders were pleased with their vacation on an agritourism farm. Practical Implications: The presented results can be an inspiration and a valuable hint for farm owners who are considering or are at the stage of creating / modifying an agritourism farm aimed at servicing families with children. Originality/value: The presented issues are rarely undertaken in research. Existing studies were general and not very detailed or were undertaken on a small research sample.
Characterization of Trap States at Silicon-On-Insulator (SOI)/Buried Oxide (BOX) Interface by Back Gate Transconductance Characteristics in SOI MOSFETs

We characterized trap states at silicon-on-insulator (SOI)/buried oxide (BOX) interfaces in epitaxial layer transfer (ELTRAN) wafers and in low-dose separation by implanted oxygen (SIMOX) wafers. We formulated a simple analytical form to obtain the distribution of density of trap states from a comparison of the experimental transconductance and simulated transconductance of SOI metal oxide semiconductor field effect transistors (MOSFETs). We observed dips in back gate transconductance in MOSFETs on low-dose SIMOX wafers. Consequently, we concluded that “acceptor-like electron traps” with the density of 5 ×1012 cm-2·eV-1 near the conduction band edge Ec and “donor-like hole traps” with the density of 1012 cm-2·eV-1 near the valence band edge Ev are distributed in the forbidden band of Si at SOI/BOX interfaces in low-dose SIMOX wafers, while the trap density at SOI/BOX interfaces is less than 1011 cm-2·eV-1 in ELTRAN wafers. We also found that the kink effect is suppressed in MOSFETs on low-dose SIMOX wafers with a high density of trap states at the SOI/BOX interface.
A Hybrid Dual Jacobian Approach for Autonomous Control of Concentric Tube Robots in Unknown Constrained Environments

Concentric Tube Robots (CTR) have been gaining ground in minimally-invasive robotic surgeries due to their small footprint, compliance, and high dexterity. CTRs can assure safe interaction with soft tissue, provided that precise and effective motion control is achieved. Controlling the motion of CTRs is still challenging. Commonly used model-based control approaches often employ simplified geometric/dynamic assumptions, which could be very inaccurate in the presence of unmodelled disturbances and external interaction forces. Additionally, application of emerging data-driven algorithms in real-time control of CTRs is limited due to the fact that these controllers require considerable amount of time to let the algorithm develop enough to reach a desired accuracy and relevancy. In this paper, we present a hybrid approach to overcome the aforementioned difficulties. This hybrid solution uses the solution of a kinematic model of the robot to estimate initial values for a model-free data-driven method. The proposed algorithm combines both model-based and data-driven algorithms to provide real-time motion control of CTRs interacting with an unknown external environment. Three different simulations studies were performed to thoroughly evaluate the efficacy of the proposed hybrid control approach as compared to two common model-based and data-driven control techniques. The results demonstrate superior performance of the proposed method. The root-mean-square error of the proposed hybrid approach is less than 1.1 mm, which is 9 times less than a common model-based controller.
Bidirectional DC-to-AC inverter with improved performance

Switch-mode DC-to-AC inverters using DC-to-DC converter topology have many advantages over the traditional bridge-type inverter. A bidirectional power circuit combined with a nonlinear robust control is proposed to form a high performance inverter. The output voltage of the inverter can be stabilized regardless of large changes in input voltage and output current. The distortion near the zero crossing point can be minimized. The load of the inverter can be resistive, inductive, or capacitive. Simulation results and experimental verification are provided.
Benefits and costs of social foraging in velvet worms

Animals often live and forage in groups, though the extent of social organisation varies dramatically among taxa (Ward & Webster, 2016). The key to understanding the form, diversity and maintenance of group living lies in enumerating the balance of benefits and costs across two broad ecological contexts; antipredator defence and foraging (Krause et al., 2002). In the former case, individuals in Received: 14 July 2021 | Revised: 28 October 2021 | Accepted: 6 December 2021 DOI: 10.1111/eth.13256
Measuring user satisfaction in an outsourcing environment

Outsourcing is a term that encompasses a variety of approaches to contracting for information technology (IT) services. It is defined as a transfer of any particular IT activity or a combination of activities from an organization using them to one or more external service providers. IT outsourcing leads to significant changes in the management processes of the IT organization. For example, while IT managers have always had the responsibility for ensuring that users within their organization maintain a high degree of satisfaction, they now have to monitor the quality of service, even though they are no longer the providers of the service. This gets further complicated when only some parts of the IT functions are outsourced while others are provided by an internal IT department. Thus, developing a comprehensive set of measurement tools and mechanisms is an important step toward monitoring the quality of service provided by both an outside source and an IT department. This paper investigates the usefulness of an existing user-satisfaction measurement instrument for identifying problem areas in a multiprovider outsourcing environment, where an external service provider and an internal IT department each has different roles in the system. It discusses the rationale for measuring user satisfaction and the instruments to carry out the measurement procedure. It reports the results of implementing and testing a previously developed, documented, and validated user-satisfaction instrument in an outsourcing environment and draws practical conclusions from the results.
2 A Solution to the Architecture/Software Design Bind ‐ The Mission Object View

Two powerful approaches to system modeling, each of which addresses important issues in the system development process, are currently available for use: architecture view sets and domain level object modeling. Each of these techniques is insufficient to architect complex, software intensive systems when used alone – object modeling does not address important physical and low‐level architectural concerns and an architecture depiction may violate a smooth object development unintentionally. Additionally, the two approaches are interdependent and interact in conflicting, confusing ways. This is the central nature of the architecture/software design bind. This paper suggests a solution to the architecture/software design bind by including the domain object model in the architecture view set as a full fledged, participating view – the Mission Object View. This allows a controlled and complete relationship between object constructs and architecture entities.
Study on the Method of Radar Servo System Faults Diagnosis Based on Expert System and Neural Network

Aimed at these shorts of the unity expert system in radar servo system fault diagnosis, analyzing the structure of radar servo system and characteristic of equipments fault, a new method of neural network interfused with traditional expert system is presented in radar fault diagnosis. The frame and function expression of radar fault diagnosis system based on neural network and traditional expert system are given. The select method of diagnosis parameter and the setting up process of knowledge database and module of neural network are analyzed.
Parallel Variable Stiffness Actuators

In this paper, we introduce a new type of compliant actuator named the Parallel Variable Stiffness Actuator (PVSA) which consists of a variable stiffness spring placed in parallel with a direct-drive motor. Parallel variable stiffness actuators provide (i) high-fidelity force control and (ii) controllable energy storage, as they inherit the benefits of direct-drive motors and variable stiffness springs. We present a compact design of the PVSA using a flat motor connected to an adjustable mechanical advantage torsional spring. We show that this PVSA is (1) not subject to the fundamental force control bandwidth limitation of series elastic and variable stiffness actuators, and most notably, (2) enables resonant energy accumulation despite the limited deformation of the spring and the constrained motion of the load attached to the actuator. The latter differentiates parallel variable stiffness actuators from fixed-stiffness parallel elastic actuators. PVSAs may be used with smaller direct-drive motors to match the peak power of larger motors without compromising force control fidelity. PVSAs may be used to implement resonant forcing under joint angle limitations in walking, jumping, running, swimming robots, or robotic exoskeletons used to augmented human motion in the aforementioned tasks.
Impact of Strengthening Internal Audit’s Roles towards State Budget Loss

This research evaluates the effect of strengthening government internal audit’s (APIP) roles on reducing state budget loss in Indonesia. Since 2014, the role of internal audit as a provider of objective quality assurance is strengthened by adding comprehensive consulting activities that are inherent in each cycle of state budget process to make sure that there are no irregularities on managing the stage budget. By using the difference-in-differences (DID) approach, this study analyzes state budget loss data obtained from the Audit Board of Republic of Indonesia (BPK) in 492 cities/districts during 2009-2018. The results show that strengthening internal audit’s roles decreased state budget losses in the regions that have a relatively high capital expenditure by 0.435% and it is significant at 1% level. This finding shows the positive effect of adding a consulting role to government internal audit on reducing the state budget losses in Indonesia.
Dispersed Urban‐Stormwater Control Improved Stream Water Quality in a Catchment‐Scale Experiment

Traditional urban drainage degrades receiving waters. Alternative approaches have potential to protect downstream waters, but widespread adoption requires robust demonstration of their feasibility and effectiveness. We conducted a catchment‐scale experiment over 19 years to assess the effect of dispersed stormwater control measures (SCMs), measured as a reduction in effective imperviousness (EI) on stream water quality in six sites on two streams. We compared changes in those sites over 7 years as EI decreased, to changes in the 12 preceding years, and in three reference and two control streams. SCMs reduced phosphorus concentrations and summer temperature to reference levels in dry weather where EI was sufficiently reduced, but effects were smaller with increased antecedent rain. SCMs also reduced nitrogen concentrations which were influenced by septic tank seepage in all sites. SCMs had no effect on suspended solids concentrations, which were lower in urban than in reference streams. SCMs increased electrical conductivity: along with reduced temperature this is evidence of increased contribution of groundwater to baseflows. This experiment strengthens inference that urban stormwater drainage increases contaminant concentrations in streams, and demonstrates that such impacts are reversible and likely preventable. Variation in degree of water quality improvement among experimental sites suggests that achieving reference water quality would require SCMs with large retention capacity intercepting runoff from nearly all impervious surfaces, thus requiring more downslope space and water demand. EI is a useful metric for predicting stream water quality responses to SCMs, allowing better catchment prioritization and SCM design standards for stream protection.
Image‐based locating and guiding for unmanned aerial vehicles using scale invariant feature transform, speeded‐up robust features, and oriented fast and rotated brief algorithms

This study provides a method for determining the location information from a photograph taken by an Unmanned Aerial Vehicle (UAV). In today's defense industry, the goal is to design a reliable navigation system that can operate even when the Internet and GPS systems are unavailable. In the proposed system, it is expected that there is an image database in which each image has its own metadata in JavaScript Object Notation format that defines the geolocation information for the corresponding image. In real‐time, UAV flies captures an image and uses a matching algorithm to compare it with each and every photo in the database. The image with the highest match rate in the database and its metadata is returned. The UAV extracts its own location information from the metadata. For image matching, Scale Invariant Feature Transform, Speeded‐Up Robust Features, and Oriented FAST and Rotated BRIEF algorithms are used. The proposed system is tested and evaluated by using a real‐world dataset obtained from Flickr's city images. The proposed approach is proved to work with a success rate of 97.14%.
A modularized framework for predictive maintenance scheduling

This paper presents a modularized, easy-to-implement framework for predictive maintenance scheduling. With a modularization treatment of a maintenance scheduling model, a predictive maintenance scheduling model can be established by integrating components’ real-time, sensory-updated prognostics information with a classical preventive maintenance/condition-based maintenance scheduling model. With the framework, a predictive maintenance scheduling model for multi-component systems is established to illustrate the framework’s use; such a predictive maintenance scheduling model for multi-component systems has not been reported previously in the literature. A numerical example is provided to investigate the individual-orientation and dynamic updating characteristics of the optimal preventive maintenance schedules of the established predictive maintenance scheduling model and to evaluate the performance of these preventive maintenance schedules. It is hoped that the presented framework will facilitate the implementation of predictive maintenance policies in various industrial applications.