Miracle-dz/UniFAR-FTUs huggingface dataset:
Employee Perceptions of Organizational Culture and Individual Values Based on Examples of Companies in Bosnia and Herzegovina

The issue of value does play a crucial role in analyzing cultural issues related to organizational activities and behavior. In this work, we aim at determining the values preferred by employees at companies in Bosnia and Herzegovina, both individually and organizationally in the context of certain types of organizational culture. Identification of the dominant types of organizational culture is based on the Competing Values Framework, and in case of analysis of values of individuals, we have selected a model based on the Schwartz value theory. The basic purpose of the work is to determine whether there is a correlation between individual values and organizational culture based on a convenience sample of eight companies from different sectors in Bosnia and Herzegovina.
A RF HARDWARE ABSTRACTION-BASED METHODOLOGY FOR FRONT-END DESIGN IN SOFTWARE-DEFINED RADIOS

In the recent years, Software-Defined Radio (SDR) has gained increased attention from the scientific and industrial communities. Software components, baseband architectures and a myriad of design approaches were proposed in the perspective of realizing reconfigurable and interoperable devices. Open standards such as the Software Communication Architecture (SCA) were proposed to enable waveform porting and SDR interoperability. They included various abstraction concepts such as abstraction layers, middleware frameworks and hardware drivers. However, this effort was mainly focused on the baseband side. Little effort was deployed in the SDR radiofrequency (RF) / analog side, especially on the design level. In this paper, we investigate the challenges in RF circuitry which make front-ends’ design methodologies awkward for SDRs. We propose a new design scheme based on a hardware abstraction strategy as a response to this issue. Finally, we present a case study in which the proposed design scheme will be used to design a RF filter in a step-by-step fashion.
Iterative Soft Decision Based Complex K-best MIMO Decoder

This paper presents an iterative soft decision based complex multiple input multiple output (MIMO) decoding algorithm, which reduces the complexity of Maximum Likelihood (ML) detector. We develop a novel iterative complex K-best decoder exploiting the techniques of lattice reduction for 8 × 8 MIMO. Besides list size, a new adjustable variable has been introduced in order to control the on-demand child expansion. Following this method, we obtain 6.9 to 8.0 dB improvement over real domain K-best decoder and 1.4 to 2.5 dB better performance compared to iterative conventional complex decoder for 4th iteration and 64-QAM modulation scheme. We also demonstrate the significance of new parameter on bit error rate. The proposed decoder not only increases the performance, but also reduces the computational complexity to a certain level.
A study of robot semantic localization based on multimodal HRI

Semantic localization describes the surrounding of a robot by using semantic labels. These labels are used to identify neighboring objects, but also the category of the place where the robot is located. Multimodal human-robot interaction refers to the communication between humans and robots by means of several information sources. This paper presents a bibliographical revision about these two important roboticrelated topics: semantic localization and multimodal human-robot interaction. In addition, this paper proposes a method for performing semantic localization using information gathered from the interaction with humans. This method models a lifelong system where robot learns from scratch, using sensors and information obtained from humans.
Autoregressive Modeling of Wrist Attitude for Feature Enrichment in Human Activity Recognition

The use of time-series from wrist worn accelerometers for Human Activity Recognition is investigated in this work. We employ, as features, coefficients of two-dimensional multivariate/vector autoregressive (AR) models obtained from raw acceleration signals and from estimated wrist attitude roll and pitch angles. It is shown that the simultaneous use of both types of models improves the overall accuracy about 20% when compared to recently published algorithms where only univariate AR models coefficients for each raw acceleration signal are employed.
Embracing the open API ecosystem to give analytics an organizational operational landing spot

Organizations often struggle to make strategic insights actionable. Powerful analytics, available at key operational decision points, can make the difference. An example of such a case was to determine occupancy of key docks at a major international seaport, using object detection techniques on the camera feeds. In order to leverage such strategic insights throughout the organization, a major hurdle is to deploy analytics in the key operational systems. With Viya, SAS ® has embraced the open source community with open source analytics integration and the open API ecosystem. This paper will demonstrate how to leverage CAS for image recognition from within Python and how-to set-up a kappa architecture using Kafka to publish results in real-time to organizational systems like SAP ® and Salesforce ® . The focus in the paper is on the integration of open source and SAS ® analytics in these two systems, rather than on the specific use case.
Switched-Capacitor Supported Cascaded Multilevel Inverter for High-Frequency a Power Distribution System

The increase of transmission frequency reveals more merits than lowor medium-frequency distribution among different kinds of power applications. Highfrequency inverter serves as source side in high-frequency ac (HFAC) power distribution system (PDS). However, it is complicated to obtain a high-frequency inverter with both simple circuit topology and straightforward modulation strategy. A novel switched-capacitor-based cascaded multilevel inverter is proposed in this paper, which is constructed by a switched-capacitor frontend and H-Bridge backend. Through the conversion of series and parallel connections, the switched capacitor frontend increases the number of voltage levels. The output harmonics and the component counter can be significantly reduced by the increasing number of voltage levels. A symmetrical triangular waveform modulation is proposed with a simple analog implementation and low modulation frequency comparing with traditional multicarrier modulation. The circuit topology, symmetrical modulation, operation cycles, Fourier analysis, parameter determination, and topology enhancement are examined. A Matlab/Simulink prototype with a rated output frequency of 25 kHz is implemented to compare with simulation results.
Development of a Threat Assessment Algorithm for Intersection Collision Avoidance Systems

Relative to other roadway segments, intersections occupy a small portion of the overall infrastructure; however, they represent the location for nearly 41 % of the annual automotive crashes in the United States. Thus, intersections are an inherently dangerous roadway element and a prime location for vehicle conflicts. Traditional safety treatments are effective at addressing certain types of intersection safety deficiencies; however, cumulative traffic data suggests these treatments do not address a large portion of the crashes that occur each year. Intersection Collision Avoidance Systems (ICAS) represent a new breed of countermeasures that focus on the types of crashes that have not been reduced with the application of traditional methods. Incursion systems, a subset of ICAS, are designed to specifically undertake crashes that are a result of the violation of a traffic control device. Intersection Collision Avoidance Systems to address Violations (ICAS-V) monitor traffic as it approaches the intersection through a network of in-vehicle sensors, infrastructuremounted sensors, and communication equipment. A threat-assessment algorithm performs computations to predict the driver’s intended intersection maneuver, based on these sensor inputs. If the system predicts a violation, it delivers a timely warning to the driver with the aim of compelling the driver to stop. This warning helps the driver to avoid a potential crash with adjacent traffic. The following dissertation describes an investigation of intersection approach behavior aimed at developing a threat assessment algorithm for stop-sign intersections. Data were collected at live intersections to gather infrastructure-based naturalistic vehicle approach trajectories. This data were compiled and analyzed with the goal of understanding how drivers approach intersections under various speeds and environmental conditions. Six stop-controlled intersection approaches across five intersections in the New River Valley, Virginia area were selected as the test sites. Data were collected from each site for at least two months, resulting in over sixteen total months of data. A series of statistical analysis techniques were applied to construct a set of threat assessment algorithms for stop-controlled intersections. These analyses identified characteristics of intersection approaches that suggested driver intent at the stop sign. Models were constructed to predict driver stopping intent based on measured vehicle kinematics. These models were thoroughly tested using simulation and evaluated with signal detection theory. The overall output of this work is a set of algorithms that may be integrated into an ICAS-V for on-road testing.
Understanding of Long-Term CO2-Brine-Rock Geochemical Reactions Using Numerical Modeling and Natural Analogue Study

To further understand the interactions of CO2-brine-rock at geological time scales, in this study, a 1D reactive transport model of CO2 intrusion into sandstone of the Longtan Formation (P2l) in the Huangqiao area, China, was constructed based on site-specific data. The simulation time is consistent with the retention time of CO2 in the Longtan sandstone Formation and is set to 20 Ma. The reactive transport model is calibrated and revised using the measured data for sandstone samples from Well X3 (i.e., the natural analogue). By comparing the simulation results with measured data for the natural analogue, the long-term geochemical reactions are investigated. The simulation results indicate that the brine-rock interactions induced by CO2 can be roughly divided into two stages. First, susceptible minerals (e.g., chlorite, ankerite, calcite, and feldspar minerals) dissolve rapidly under acidic conditions formed by the dissolution of CO2. The precipitation of siderite is facilitated by the dissolution of ankerite and chlorite. Smectite-Ca and dawsonite precipitate due to the dissolution of anorthite and albite, respectively. Dawsonite begins to convert into smectite-Na when albite is completely dissolved. As the reactions continue, intermediate products (i.e., illite, smectite-Na, and smectite-Ca) generated in the first stage become the reactants and subsequently react with CO2 and brine. These three clay minerals are not stable under acidic conditions and transform into kaolinite and paragenetic quartz in the later stage of reaction. Comparing the simulation results of the Base Case with the measured data for the natural analogue and inspired by previous studies, the scour of kaolinite is supposed to have occurred in this region and is considered in the revised model by introducing a coefficient of the scour of kaolinite (i.e., Case 2). The simulation results of Case 2 fit well with the measured data on mineral assemblage, and the trend of the sandstone porosity growth caused by the CO2-brine-rock reaction is captured by our simulation results. The combination of numerical simulation and natural analogue study indicates that the joint effects of long-term CO2-brine-rock reactions and scour of kaolinite increase the pore space of the host rock and result in an increase in quartz content in the sandstone.
The Long-term Gait Speed Monitoring System Using a Single IMU for a Daily Life Use

Inertial Measurement Unit(IMU)을 사용한 보행 속도의 추산은 인력의 낭비 없이 일상 생활에서 사용하기에 적합한 방법이다. 한 개의 IMU 를 발 뒤꿈치에 부착함으로써, 우리는 사용자의 보행 속도를 추산할 수 있다. 이 기능을 일상 생활에 적용하기 위하여, 우리는 장시간 동안의 보행 속도 추산을 목표로 하고 있다. 본 논문은 일상 생활에서 발생하는 여러 종류의 보행 패턴 중에서도 특히 직선 보행에 초점을 맞추고 있다. 보행 속도를 추산하기 위해서는 보행을 순환 주기에 따라 분할하여 IMU 의 드리프트 에러를 줄여야 한다. 본 논문에서는 보행 주기를 보행의 확고한 현상인 foot-flat 을 이용하여 분할하고 있다. 첫째로, IMU 의 foot-flat 포착을 검증해야 한다. 한 명의 대상이 한 개의 IMU 와 force sensing resistor 를 한 발에 부착하고 treadmill 위를 선호하는 속도로 걸어, 두 장비의 foot-flat 포착을 검증하고자 했다. 두 번째로, 네 명의 건장한 성인 대상들(2 남 2 녀)이 treadmill 위에서의 속도와 경사도 추산을 검증하는 실험에 참여했다. 마지막으로 네 명의 건장한 성인 대상들이 장기간 보행에서 계단 오르내림, 경사로 오르내림 등의 다양한 패턴들을 제거하는 알고리즘을 검증하는 실험에 참여했다. 장시간 보행에서 수평적인 지면에서의 보행만을 추출함으로써, 우리는 사용자의 선호하는 보행 속도를 얻을 수 있다. Treadmill 에서의 보행 속도 및 장기간 보행에서의 보행 속도 추산은 성공적이었으나, 계단의 패턴을 정확하게 인식하는 부분에 있어 추가적인 연구가 필요하다. ⓒ 2015 DGIST
Text mining for notability computation

In this article, we propose an automatic computation for the notability of an author based on four criteria which are: production, citation, collaboration and innovation. The algorithms and formulas are formally presented, and then applied to a given scientific community: the Natural Language Processing (NLP) group of scientific authors gathering 48,894 people. For this purpose, a large corpus of NLP articles produced from 1965 up to 2015 has been collected and labeled as NLP4NLP with 65,003 documents. This represents a large part of the existing published articles in the NLP field over the last 50 years. The two main points of the approach are first that the computation combines pure graph algorithms and NLP systems. The second point deals with the interoperability aspects both for the corpus and the tools.
Inspection and Verification of 3D Laser Scanning Datasets Registration for Reverse Engineering Application, Part 1: A Product with Datum

Registration of point cloud datasets from a laser scanner is crucial in pursuing an accurate product in the reverse engineering. In practice, dataset error and registration error are the main sources of failure in achieving an accurate registration result. The lack of the inspection method of registration result becomes a challenge in guaranteeing the accuracy. This paper presents a novel method of the inspection and verification of point clouds registration to minimize the registration errors. In this method, aligned point clouds are inspected and verified using data from a CMM taken in correspondence with pre-defined object features. Point cloud segmentation and feature extraction are utilized to define concerned features while a grid method is used to perform the correspondence between the considered feature and CMM dataset. The method was implemented into a real case product to analyze its reliability. Based on the implementation, the proposed method showed the effectiveness in inspecting and verifying the registration result.
Chapter 9 3 D Network on Chip Topology Synthesis : Designing Custom Topologies for Chip Stacks

Today, many integrated circuits contain several processor cores, memories, hardware cores and analog components integrated on the same chip. Such Systems on Chips are widely used in high volume and high-end applications, ranging from multimedia, wired and wireless communication systems to aerospace and defense applications. As the number of cores integrated on a SoC increases with technology scaling, the two-dimensional chip fabrication technology is facing lot of challenges in utilizing the exponentially growing number of transistors. As the number of transistors and the die size of the chip increase, the length of the interconnects also increases. With smaller feature sizes, the performance of the transistors have increased dramatically. However, the performance improvement of interconnects has not kept pace with that of the transistors [1]. With reducing geometries, the wire pitch and cross section also reduce, thereby increasing the RC delay of the wires. This coupled with increasing interconnect length leads to long timing delays on global wires. For example, in advanced technologies, long global wires could require up to 10 clock cycles for traversal [2]. Another major impact of increased lengths and RC values is that the power consumption of global interconnects become significant, thereby posing a big challenge for system designers.
ENGINEERING FOR GIS : LEARNING FROM A SNAPSHOT

Interest in Human-Computer Interaction (HCI) has been part of Geographical Information Science (GIScience) for a long time. Well before the term GIScience was coined (Goodchild 1992), and even before the term Geographical Information System (GIS) was invented (Tomlinson, 1967), researchers of “Man Machine Interaction” at MIT where utilising the display capabilities of the latest generation of computers to manipulate oceanic geographical information (Pivar at al., 1963). From this early start, HCI became an integral part of the GIScience research agenda.
Model-based Informal Inference

Following recent scholarly interest in teaching informal linear regression models, this study looks at teachers’ reasoning about informal lines of best fit and their role in pedagogy. The case results presented in this journal paper provide insights into the reasoning used when developing a simple informal linear model to best fit the available data. This study also suggests potential in specific aspects of bidirectional modelling to help foster the development of robust knowledge of the logic of inference for those investigating and coordinating relations between models developed during modelling exercises and informal inferences based on these models. These insights can inform refinement of instructional practices using simple linear models to support students’ learning of statistical inference, both formal and informal.
Simulation of Nocturnal LLJs with a WRF PBL Scheme Ensemble and Comparison to Observations from the ARM Project

Data and Methodology • LLJs simulated using 10 km grid spacing Weather Research and Forecasting (WRF) model •Six Planetary Boundary Layer (PBL) schemes were used: •Mellor Yamada Janjic (MYJ) •Yonsei University Scheme (YSU) •Quasi Normal Scale Elimination (QNSE) •Pleim or Asymmetric Convective Model (ACM2) •Mellor Yamada Nakanishi Nino 2.5 and 3.0 (MYNN 2.5 and MYNN3.0) • Global Forecast System (GFS) used for initial/boundary conditions • Lamont, OK profiler site from DOE Atmospheric Radiation Measurement (ARM) project used to validate ensemble •data availability below 500m •vertical resolution of 60m below 2,462m • Thirty cases selected from June 2008 to May 2010 •cases chosen based on nocturnal LLJ presence at site •mix of strong and weak LLJ cases used
CHANGE EXPLORER-GUIDELINE CLOSING MEETING OF THE COACHING

Purpose In the closing meeting the coachee and the coach reflect the process and results of the coaching in a systematic way. Particularly, they • Review the process and the sessions • Evaluate goals and results of the coaching • Provide differentiated reciprocal feedbacks that stimulate future improvements or better transfer into practice • Agree on the communication of the results and learnings of the coaching (especially in case of failure.) • Systematically round off the coaching and allow for a psychological disengagement.
Non-stationary Modeling of Vocal Fold Vibrations During a Pitch Raise

In clinical examination, vocal fold vibrations are usually visualized during a stationary sustained phonation. This experimental condition is easy to handle, but does not reflect the voice in every day life. The objective of this study is to investigate the laryngeal mechanism during a non-stationary phonation. A monotonous pitch raise paradigm (MPRP) as an example of a non-stationary phonation is considered. An extension of the biomechanical two-mass-model (2MM) with time-dependent parameters is developed to model vocal fold vibrations and belonging physiological parameters. The procedure iteratively adapts the extended 2MM via frequency and amplitude matching to real vibrations of vocal fold edges, obtained from an endoscopic investigation with a high-speed camera system (high-speed glottography, HGG). In simulations the proposed fitting scheme is capable to approximate the non-stationary oscillation of the vocal folds. The verification of the algorithm is exemplarily demonstrated with a synthetically generated data set and recordings of a female subject with normal voice. The time-dependent model parameters adjusted by the proposed inversion algorithm are estimates of the adaptation of the vocal folds during a nonstationary phonation. Figure 1: Movements of the left (solid) and right (dotted) vocal fold edges computed from a digital image series (medial glottal third). Top: Sustained phonation with constant pitch. Bottom: Section of a monotonous pitch raise. currently under clinical trial. They restrict themselves on the steady state section after the vocal onset, i.e. on a stationary vibration with constant fundamental frequency as it is shown in the upper part of Fig. 1 with timeand space-related symmetry.
A Comparative Study for Heart Rate Measurement in Video Sequences

This paper presents a method for measuring the heart rate (HR) of a human using a video sequence. The method is contact-free and does not require any costly medical equipment. The video sequence can be captured with a USB camera attached to a personal computer. In this paper, we have attempted to measure the HRs of a group of people using red, green, blue, and hue signals in the video sequence. In addition, we have repeated the experiment on various parts of the human body. Experimental results show that the green and hue signals are equally effective for the HR measuring task. The results also reveal that the forehead and cheeks are more suitable for the measurement purpose.
B 98 , 214411 ( 2018 ) Vibrational properties and magnetic specific heat of the covalent chain antiferromagnet RbFeSe

A. G. Kiiamov,1,2 Y. V. Lysogorskiy,1,3 F. G. Vagizov,1 L. R. Tagirov,1,4 D. A. Tayurskii,1,2 Z. Seidov,5,6 H. -A. Krug von Nidda,5 V. Tsurkan,5,7 D. Croitori,7 A. Günther,5 F. Mayr,5 and A. Loidl5 1Institute of Physics, Kazan Federal University, Kazan 420008, Russia 2Centre for Quantum Technologies, Kazan Federal University, 420008 Kazan, Russia 3Atomistic Modelling and Simulation, ICAMS, Ruhr-University Bochum, D-44801 Bochum, Germany 4Zavoisky Physical-Technical Institute, FRC Kazan Scientific Center of RAS, 420029 Kazan, Russia 5Experimental Physics V, Center for Electronic Correlations and Magnetism, University of Augsburg, D-86135 Augsburg, Germany 6Institute of Physics, Azerbaijan National Academy of Sciences, AZ-1143 Baku, Azerbaijan 7Institute of Applied Physics, MD-20208 Chisinau, Moldova
Poietiques-based methods of self-investigation during the creative processes of design

In the process of designing, it should be noted, the observation of the creative process from an inner perspective is difficult when one is deeply engaged with the work. Observing the creative process can broaden our understanding and provide us with significant knowledge about creativity. The aims of this study are to propose methods of self-investigation when one is engaged in the creative process, and to examine these methods. We propose the basic framework of such self-investigation methods, apply these methods to a designer and outline the criteria required. Moreover, we show a case study that was conducted wherein a designer researched the proposed method. Our method has nine steps and is based on three reports: first, a designer’s; second, an art researcher’s; and third, the designer’s again. We assessed the reports by analyzing their structures. We could find evidence to verify the effectiveness of our proposed method.