Miracle-dz/UniFAR-FTUs huggingface dataset:
PERILAKU KONSUMEN DALAM PEMBELIAN BAKSO DI MALANG

The objective of this research were to analyzed the characteristics and the factors influencing the purchasing of meatballs in Malang. The research was conducted in Malang, East Java in March 2011. One hundred and twenty consumers were chosen as respondents by Accidental Sampling method. Data were analyzed by descriptive and factor analyses. The results showed that most customers were women, student status, with the age below 35 years old, and incomes level of IDR 1.000. 000,00 into IDR 2.000. 000,00 per month. The meatball`s price was affordable by the consumers. The meatball`s purchasing patterns showed that the meatball was consumed not as a main meal but only for culinary, hobby and also as snacks. The eight factors considered by consumers of meatball purchasing consecutively were price, social class, accessibility, parking, display presentation, satisfaction, income and demographics, respectively. (Key words: Consumer`s behavior, Considerance factor, Meatball)
The eminent effect of the business intelligence on the inner business processes and the role of the culture of the analytic decision making related (the subject of the study: Asia insurance of Zanjan province)

Abstract. In the competitive world of today, the positive effect of the data presented by the business intelligence systems in the organizational decision making cannot be denied. Although the success of the business intelligence systems has been studied well, our understanding towards the state of the relations among the business intelligence system aspects and their method of effectiveness is restricted. The objective of this study is the surveying of the intra relation of the business intelligence systems along with the data quality, data accessibility and the data usage, and also specifying the role of the analytic decision making as the variance balancing of the relations. The results of the data analysis related to 109 personnel and the Asia insurance companies in Zanjan by the structural equation shows that the business intelligence systems can have a strong effect on the quality of the data content, the accessibility to the data and the data usage, whereas the culture of analytic decision making does not have any meaningful effect on the relationship.
A Reasonable Assurance Framework for Distributed Ledger Technology Systems: A Risk Assessment Approach.

: With many businesses either adopting Distributed Ledger Technology (DLT) applications or considering their implementation for those enterprise processes which potentially could materially impact financial statements, auditors will soon be asked to reasonably assure DLTs. We propose a generalizable framework which an auditor can follow to provide reasonable assurance of a DLT, and which considers its risks to the enterprise. The framework is developed with a Design Science Research (DSR) approach and entails risk assessment, controls identifications, controls procedures evaluations, and controls weaknesses analysis. It discusses the generic distributed ledger technology space but uses examples specific to blockchains. This paper contributes to the evolving research in the DLT domain and appears to be the first to propose a risk assessment-based reasonable assurance framework for DLT systems. It is anticipated that this research will be of great interest and value to auditors, accountants, regulators, business owners, and academics. An ability to understand and evaluate these complex DLTs and their potential risks will benefit an auditor. Business owners will benefit from obtaining a holistic understanding of the risk and controls dimensions of DLT systems.
Codage DPCM vectoriel et application au codage de la parole en bande élargie

R esum e: Nous nous int eressons dans cet article au codage optimal de signaux vectoriels par une transformation d ecorr elatrice de type DPCM. Nous montrons que la transformation optimale, c'est a dire totalement d ecorr elante et de type DPCM, correspond a une factorisation triangulaire LDU (Lower-Diagonal-Upper) de la matrice d'autocorr elation du vecteur de signal a coder : la matrice de transformation est alors triangulaire et de diagonale unit e, et ses lignes apparaissent comme les ltres optimaux de pr ediction des composantes du vecteur. Nous etudions les perturbations apport ees a cette transformation lorsqu'elle s'appuie non pas sur le signal original mais sur sa version quanti ee (en boucle ferm ee), comme c'est le cas pour des quanti cateurs DPCM. En guise d'application, nous montrons que deux transformations pr ec edemment introduites dans le cadre du codage de signal en sous-bandes apparaissent comme des cas particuliers du codage DPCM vectoriel, et nous comparons ces deux approches dans le cas o u les perturbations sur le signal de r ef erence sont prises en compte. Nous d ecrivons ensuite les r esultats de tests informels r ealis es en appliquant certains r esultats du codage DPCM vectoriel au codage de la parole en bande elargie.
A new battery model for use with battery energy storage systems and electric vehicles power systems

This paper initially presents a review of the several battery models used for electric vehicles and battery energy storage system applications. A model is discussed which takes into account the nonlinear characteristics of the battery with respect to the battery's state of charge. Comparisons between simulation and laboratory measurements are presented. The effects of high frequency switching on the battery performance are also discussed. A strategy to reduce the high frequency charging and discharging current is proposed.
Experimental Evaluation of Approach Behavior for Autonomous Surface Vehicles

This article presents an experimental assessment of an Unmanned Surface Vehicle (USV) executing an approach behavior to several stationary targets in an obstacle field. A lattice-based trajectory planner is implemented with a priori knowledge of the vehicle characteristics. In parallel, a low-level controller is developed for the vehicle using a proportional control law. These systems are integrated on the USV control system using the Lightweight Communications and Marshalling (LCM) message passing system. Filtered vehicle-state information from onboard sensors is passed to the planner, which returns a least-cost, dynamically feasible trajectory for achieving the ascertained goal. The system was tested in a 750 m by 150 m area of the US Intracoastal Waterway in South Florida in the presence of wind and wave disturbances to characterize its effectiveness in a real-world scenario. The vehicle was able to replicate behavior predicted in simulations when navigating around obstacles. The approach distance to each target was favorably lower than the user-defined limit. Owing to the fact that the USV uses differential thrust for steering, the vehicle tracked the planned trajectories better at lower speeds.Copyright © 2013 by ASME
A new method of real-time signal extraction for diffuse reflection laser ranging based on Genetic Algorithm

Diffuse reflection laser ranging is one of the feasible ways to realize high precision measurement of the space debris. However, the weak echo of diffuse reflection results in a poor signal-to-noise ratio. Thus, it is difficult to realize the real-time signal extraction for diffuse reflection laser ranging when echo signal photons are blocked by a large amount of noise photons. The Genetic Algorithm, originally evolved from the idea of natural selection process, is a heuristic search algorithm which is famous for the adaptive optimization and the global search ability. To the best of our knowledge, this paper is the first one to propose a method of real-time signal extraction for diffuse reflection laser ranging based on Genetic Algorithm. The extraction results are regarded as individuals in the population. Besides, short-term linear fitting degree and data correlation level are used as selection criteria to search for an optimal solution. Fine search in the real-time data part gives the suitable new data quickly in real-time signal extraction. A coarse search in both historical data and real-time data after the fine search is designed. The co-evolution of both parts can increase the search accuracy of real-time data as well as the precision of the history data. Simulation experiments show that our method has good signal extraction capability in poor signal-to-noise ratio circumstance, especially for data with high correlation.
EIPMon: an enhanced IP network monitoring tool

We developed EIPMon (Enhanced Internet Protocol Monitor) in order to estimate delay variation and packet loss quality of service (QoS) measures in GTE's IP Telephony Network and to characterize the traffic between its points of presence (POP) sites. The tool is passive in that it does nor generate any of its own network traffic in order to make its measurements. While the tool's algorithms for estimating the QoS measures are generally applicable to network monitoring problems, the mel's particular implementation specifically takes advantage of GTE's network architecture and are based on information carried in RTP (Real-Time Protocol) headers which are present in the real-time traffic carried in the network.
Compact, high isolation, and dual‐polarized differential dual‐notched UWB‐MIMO slot antenna

A compact differentially fed ultrawideband‐multiple‐input multiple‐output (UWB‐MIMO) antenna with very high isolation, dual‐polarization, and dual‐notched bands is proposed in this letter. The proposed MIMO antenna consists of two pairs of differential ports which share a common circular radiation slot, making the proposed UWB‐MIMO antenna as compact as one antenna element with the size of 30 × 30 mm2. By arranging two pairs of differential ports orthogonally in the virtual ac ground of each other, the differential isolation can be infinite theoretically and dual‐polarization are obtained. To achieve dual notch‐band, half‐wavelength stubs and slits are introduced. Besides, the radiation characteristic and diversity performance are discussed. Good agreement is achieved between the measured results and simulated results. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:2609–2614, 2015
Nozzle design to control fluid-dynamics effects in laser cutting

Recent studies and tests have shed light on the large role played by fluid-dynamics phenomena on laser processing. They are responsible for the largest portion of the losses in the welding and cutting processes. The mechanism by which these losses occur is here explained and their values are given. Assist gas system improper design and use cause strong flow field instabilities and worsened chokings that impede the assist gas primary function of removing, by fluid-mechanical action, the molten material from the cut slit, and in the case of an exothermic reacting gas also the other essential function of sustaining even a slow stoichiometric burning. Flow visualization and phenomenological analyses have given a better insight on the involved phenomena and suggested new nozzle designs for laser cutting.
Analysis of Leaf Trait and Differentially Expressed Genes of Leaf Development in Eucommia ulmoides Oliver after Ultraviolet-B (UV-B) Radiation

Background Eucommia ulmoides Oliver (EUO) has a great medicinal value in China. The using leaf model of Eucommia planting (ULMEP) is a promising approach to resolve the shortage of EUO resources. We focused on leaf responses and differentially expressed genes (DEGs) for transcriptome profiling after ultraviolet-B radiation (UV-B) in the east-north China. ResultsThe leaf traits were significantly affected after UV-B treatment, and the leaf area, leaf thickness and total leaf fresh/dry weight significantly increased (p<0.05). Anatomical results showed that cells from the leaf epidermal and palisade tissue were larger than those of control. Two transcriptome databases were assembled and integrated, the transcriptome databases comparative analysis revealed 1,826 up-regulated and 1,872 down-regulated genes. Among them, the up-regulated unigenes were mainly participated in Signal transduction mechanisms, and Cell wall/membrane biogenesis by the KOG database, and up-regulated genes were analyzed in plant hormone signal transduction and phenylpropanoid metabolic pathways by KEGG pathway. Furthermore, randomly 10 candidate unigenes expression were examined using RT-qPCR, the two libraries exhibited differential expression and were same as those obtained by sequencing. Conclusions This study was helpful to clarify the cause of leaf enlargement after UV-B treatment, the differentially expressed genes (DEGs) from plant auxin and phenylpropanoid biosynthesis signal pathways were focused on after UV-B treatment. This study provided a valuable reference for the ULMEP in the east-north China.
A new hybrid parallel active filter

This paper presents a new parallel hybrid active filter topology which can reduce the VA rating of the active power filter (APF) greatly. Based on the conventional topology of the hybrid parallel filter, the basic idea of the new topology is to add a small inductor in parallel with APF controlled as a harmonic current source, in order to force the fundamental reactive current to flow through the additional inductor, instead of flowing through APF. Three different control methods and a formula estimating VA rating of APF are proposed for the new topology. Experimental results obtained from a 30 kVA prototype exhibit excellent performance of the new hybrid filter. The required rating of the active filter is approximately only 1% of the harmonic-producing load.
Structural damage detection based on stochastic subspace identification and statistical pattern recognition: II. Experimental validation under varying temperature

Although most vibration-based damage detection methods can acquire satisfactory verification on analytical or numerical structures, most of them may encounter problems when applied to real-world structures under varying environments. The damage detection methods that directly extract damage features from the periodically sampled dynamic time history response measurements are desirable but relevant research and field application verification are still lacking. In this second part of a two-part paper, the robustness and performance of the statistics-based damage index using the forward innovation model by stochastic subspace identification of a vibrating structure proposed in the first part have been investigated against two prestressed reinforced concrete (RC) beams tested in the laboratory and a full-scale RC arch bridge tested in the field under varying environments. Experimental verification is focused on temperature effects. It is demonstrated that the proposed statistics-based damage index is insensitive to temperature variations but sensitive to the structural deterioration or state alteration. This makes it possible to detect the structural damage for the real-scale structures experiencing ambient excitations and varying environmental conditions.
An innovative modular multilevel converter topology suitable for a wide power range

This paper presents a new multilevel converter topology suitable for very high voltage applications, especially network interties in power generation and transmission. The fundamental concept and the applied control scheme is introduced. Simulation results of a 36 MW-network intertie illustrate the efficient operating characteristics. A suitable structure of the converter-control is proposed.
No‐Reference Image Quality Evaluation Model for JPEG and JPEG2000 Images

In this paper, we present a new no‐reference (NR) image quality evaluation model for Joint Photographic Experts Group (JPEG) and JPEG2000 coded images. The proposed model is based on the blockiness around the block boundary, average absolute difference between adjacent pixels within the block, and zero‐crossing (ZC) rate within the block of the image. Subjective experimental results of the Laboratory for Image and Video Engineering (LIVE) Image Quality Assessment Database were used to train and test the model, which achieved sufficient quality prediction performance. Copyright © 2008 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Design and analysis of a brushless DC motor for applications in robotics

This study presents the design of a three-phase slotless brushless DC (BLDC) motor for use as an electromagnetic actuator in robotics. To achieve the high torque-to-inertia and torque-to-weight ratios required for fast response in robotic applications, genetic algorithms (GAs) are used to optimise the initial motor design within a reasonable geometry. We examine the machine performance using 3-D finite element analysis (FEA) and validate them by experimental measurement.
Assessing the impact of just-in-time on operational performance at varying degrees of repetitiveness

Just-in-time (JIT) practices are very useful to improve operational performance. These practices, that represent the core of Lean management methodology, were firstly developed in Toyota, where the production is highly repetitive, and for many years researchers have thought that this methodology could be applied in contexts characterised by repetitive manufacturing systems only. Recently some authors have refuted this view, providing empirical evidence that JIT practices can be successfully implemented also in non-repetitive contexts. However, this evidence came from descriptive and anecdotal case studies, whereas in the literature, studies based on large sample lack, which analyse JIT impact on performance at varying degrees of repetitiveness. This paper aims at investigating the impact of JIT on efficiency and responsiveness performance, and the moderating effects on these relationships of some pivotal characteristics of non-repetitive manufacturing contexts, i.e. product customisation and demand variability. A questionnaire-based international survey was used to investigate the research questions. Data from a sample of 244 plants were analysed using a structural equation modelling (SEM) procedure. The analyses demonstrate that product customisation does not significantly moderate the impact of JIT on performance. Instead demand variability negatively moderates the relationship between JIT and responsiveness, whereas it does not significantly moderate the relationship between JIT and efficiency.
Monitoring the connector environment in automotive systems

The connector environment in an automotive system has been investigated with regard to temperature, humidify and vibration. For this purpose 3 test car is being driven in a moderate environment in England and during a cold climate test. The obtained data allows the comparison between existing test procedures and real life data with the objective to improve connector reliability tests.
An Improved Path Tracking Algorithm for Intelligent Vehicle in Automatic Parking Conditions

A feedforward and feedback path tracking algorithm appropriate for automatic parking is proposed in this paper. This algorithm is composed of feedforward control and feedback control. In the path tracking, vehicle position and reference path information are used to calculate the lateral and heading error of the vehicle as well as the curvature of reference path, and put these three as the system inputs, the steering angel of the vehicle as the output. The system parameters are settled by multiple tests. Experiments show that, this method has a high performance in path tracking and meets the requirements of vehicle parking in both low speed situation and narrow spaces.
Cable environment analysis and the probabilistic approach to cable rating

The steps undertaken to determine the ratings of four 32 yr-old, 115 kV, LPOF (low-pressure oil-filled) cable circuits supplying downtown Toronto, Canada are described. The refurbishment of the circuits involved extensive condition surveys and development of mathematical models employing probabilistic methods and finite-element techniques to obtain accurate predictions of cable ampacities. It is found that the condition of a cable and that of the environment in which it is buried are sensitive to several time-dependent factors with complex relationships. These factors cannot be detected by any kind of theoretical analysis and, therefore, before any life extension or current uprating of an aging cable circuit can be attempted, an adequate condition survey of the cable and of the cable route is essential. The probabilistic method used for thermal analysis of loaded cables combined with the information gained from the cable condition survey has the advantage over deterministic methods of quantifying the benefit/risk trade-offs and therefore allowing for more informed decision making. >
The optimal frequency estimation of a noisy sinusoidal signal

A signal-processing method is proposed whereby the frequency of a noisy sinusoidal signal can be estimated optimally. The criterion for optimum performance is the minimum observation time for a given error or the minimum error for a given observation time when the same signal-to-noise condition prevails. Three methods of analyzing the instance of the transition of the signal through a selected level in a given direction can be used to determine the frequency. These methods have been simulated, and the results give a comparison of the measurement errors for the various methods for different signal-to-noise ratios and observation times. The first two methods utilize only part of the available data for frequency measurements. The third method uses all available information (e.g., all the positive zero crossings) in order to arrive at a better estimation of the required information in a given observation time or to use less measuring time for a given error. These results illustrate the superior performance of the third method. The amount of calculations that have to be done to extract the required information is a disadvantage, but the computing power and speed of modern systems make this problem irrelevant when measuring the precision frequency of a proton magnetometer. This point must be taken into consideration, though, when higher-frequency signals have to be processed using this method. >
Performance Analysis of Dual Vt Domino Circuits with P-V-T Variations

The leakage current, active power and delay characterizations of the domino circuits in the presence of P-V-T (Process, Voltage, and Temperature) variations are analyzed based on multiple-parameter Monte Carlo method. It is demonstrated that failing to account for P-V-T variations and process-electro-thermal couplings can result in significant inaccuracy in transistor-level performance estimation. It also indicates that under significant P-V-T variations, DTV (Dual Vt Technology) is still highly effective to reduce the leakage current and active power for domino circuits, but induces speed penalty. At last, the robustness of different domino circuits with DTV against the P-V-T variations is discussed.
Requirements Engineering and the Semantic Web, Part II. Representaion, Management, and Validation of Requirements and System-Level Architectures

1Graduate Research Assistant, Master of Science in Systems Engineering (MSSE) Program, Institute for Systems Research, University of Maryland, College Park, MD 20742, USA. 2Faculty Research Assistant, Institute for Systems Research, College Park, MD 20742, USA. 3Associate Professor, Department of Civil and Environmental Engineering, and Institute for Systems Research, University of Maryland, College Park, MD 20742, USA.