Miracle-dz/UniFAR-FTUs huggingface dataset:
Logistics Efficiency Improvement with Lean Management and RFID Application

This study illustrates the application of lean management and Radio Frequency Identification (RFID) technology to improve the logistics efficiency in a distribution center. The distribution center stores more than ten million parts belonging to about ten thousand types. There are more than ten thousand storage and retrieval operations for hundreds of part types on a daily basis. Value stream mapping was used to draw current state mapping with material flow, information flow, and time flow. Based on the concept of business process reengineering, future state mapping with RFID application was developed. Preliminary experiments showed that 100% read rate was achieved with a fixed RFID reader and an antenna installed at a garage door and Ultra-High Frequency passive tags mounted on each pallet. The benefit using RFID in the distribution center is analyzed (e.g., with a saving of cycle time and process time by 24% and 22%, respectively) and promoted.
Performance analysis of self-synchronized optically preamplified PPM

The performance of a hybrid erbium-doped fiber amplifier pulse position modulation (EDFA PPM) system is investigated under self-synchronization. Sensitivity results are presented for a system operating at 622 Mb/s and /spl lambda/=1.53 /spl mu/m. These indicate that EDFA PPM offers 7.9 dB sensitivity improvement over an equivalent EDFA PCM system and is beyond the fundamental PCM limit. An original expression is derived for the EDFA PPM power spectral density (PSD) under jitter. Original results are presented for the timing variance and the jitter wrong slot error (JWSE) probability due to the extracted self-timing. An original analysis and results are given for the system sensitivity penalty due to jitter. The penalty varied between 0.15 and 1.9 dB for the range of parameters considered. The selection of the system parameters that minimizes the penalty is investigated. >
Parametric and semi-parametric bootstrap-based confidence intervals for robust linear mixed models

The linear mixed model (LMM) is a popular statistical model for the analysis of longitudinal data. However, the robust estimation of and inferential conclusions for the LMM in the presence of outliers (i.e., observations with very low probability of occurrence under Normality) is not part of mainstream longitudinal data analysis. In this work, we compared the coverage rates of confidence intervals (CIs) based on two bootstrap methods, applied to three robust estimation methods. We carried out a simulation experiment to compare CIs under three different conditions: data 1) without contamination, 2) contaminated by within-, or 3) between-participant outliers. Results showed that the semi-parametric bootstrap associated to the composite tau-estimator leads to valid inferential decisions with both uncontaminated and contaminated data. This being the most comprehensive study of CIs applied to robust estimators of the LMM, we provide fully commented R code for all methods applied to a popular example.
Compact dual‐element inverted‐F MIMO antenna system with enhanced isolation

A compact multiple‐input‐multiple‐output (MIMO) inverted‐F antenna system for time division‐long term evolution (TD‐LTE) E band, 3.50‐GHz worldwide interoperability for microwave access, and 5.20‐GHz wireless local area network with enhanced isolation is proposed. The proposed MIMO antenna system consists of two identical inverted‐F antenna elements operating in the 2.32–2.37/3.40–3.62/5.12–5.29 GHz frequency bands at the reflection coefficient level below −10 dB. The edge‐to‐edge distance between the two antenna elements is only 0.1 mm. The high isolation is achieved by mirror symmetrical orientation of the two antenna elements on the different side of the FR4 substrate and replacing part of the substrate with pieces of copper to connect the ground planes together to form a common ground. The size of the proposed antenna system has the dimensions of 53.00 mm × 10.95 mm. The measured isolation between the two antenna elements exceed 19.23 dB, 14.56 dB and 23.74 dB at the aforementioned operation bands, respectively. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:363–368, 2016
Applied Sumudu Transform with Adomian Decomposition Method to the Coupled Drinfeld–Sokolov–Wilson System

In this paper, we studied and applied a modern numerical method, which is combining Sumudu transform with Adomian decomposition Method to obtain approximate solutions of the nonlinear the Coupled Drinfeld– Sokolov–Wilson (DSW) system. Positive and negative values of the variable x and various values of the variable t were taken with the initial conditions of the system as well as the values of the parameters( ). The efficiency of the method was verified, as the results obtained were compared with the accurate solution of the system. We noticed that the results are very accurate and the effectiveness of the method was confirmed.
Incorporating Distributed DRL Into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network

Space-air-ground integrated network (SAGIN) is a new type of wireless network mode. The effective management of SAGIN resources is a prerequisite for high-reliability communication. However, the storage capacity of space-air network segment is extremely limited. The air servers also do not have sufficient storage resources to centrally accommodate the information uploaded by each edge server. So the problem of how to coordinate the storage resources of SAGIN has arisen. This paper proposes a SAGIN storage resource management algorithm based on distributed deep reinforcement learning (DRL). The resource management process is modeled as a Markov decision model. In each edge physical domain, we extract the network attributes represented by storage resources for the agent to build a training environment, so as to realize the distributed training. In addition, we propose a SAGIN resource management framework based on distributed DRL. Simulation results show that the agent has an ideal training effect. Compared with other algorithms, the resource allocation revenue and user request acceptance rate of the proposed algorithm are increased by about 18.15% and 8.35% respectively. Besides, the proposed algorithm has good flexibility in dealing with the changes of resource conditions.
CLOUD AND MOOCS: THE SERVITIZATION OF IT AND EDUCATION

Early literature on servitization was focused on the necessity and rationale for the need to create value by adding services to products. This approach regarded services as additional offerings to core (often physical) products. However, recent writings on the subject of servitization recognize that a service can also replace the main product itself. Other approaches to servitization suggest that providing pure services (epitomized in a company’s ability to use its knowledge, skills and capabilities) or a combination of physical products and services (where services assume greater importance) is becoming increasingly popular. New disruptive innovations such as cloud computing and Massive Open Online Courses (MOOCs) add an interesting dimension to the contemporary debate about servitization. In the case of cloud computing, its emergence represents a new paradigm of servitization where a physical product is “morphed” into a service. Furthermore, the ascendance of MOOCs has the potential to servitize education in a manner that is unprecedented in its history. This paper will explore these two phenomena within the contemporary context of servitization and will highlight the implications of a more servitized Information Technology (IT) and educational world.
Analysis and design of the feedback and forward paths of active power factor correction systems for minimum input current distortion

A major cause of input current distortion in active power factor correction systems is the second harmonic components. Propagation of the ripple components in the feedback and feedforward paths and their interaction in the current shaping controller are examined. Based on this analysis, a ripple cancellation method is proposed. It entails a modification of the feedforward and feedback filters and is independent of the power level. The analytical results derived in this study are confirmed by simulation. <<ETX>>
Finite-time asynchronous control of discrete-time switched linear systems with event-triggered H ∞ filtering

In this paper, the event-triggered H∞ filtering problem for discrete-time linear switched systems is investigated under asynchronous switching. Under the mode-dependent event-triggered transmission mechanism (METM), the switching signal and filtering signal are combined into an augmented switching signal by merging signal technology, and the switched system and filtering system are modeled as a filtering error system (FES). Because the switching signal of the filtering system is determined by METM, there will be an asynchronous switching phenomenon between the switched system and filtering system. The novel sufficient conditions are given to ensure that the FES is finite-time bounded (FTB) and has a specified H∞ performance by the average dwell time (ADT) and multi-Lyapunov functional method. And based on this, the design method of the H∞ filter is given. Ultimately, the numerical examples are inspired to manifest the availability of the effects in the study.
“Us versus Them;” Local Social Fragmentation and Its Potential Effects on Building Pathways to Adapting to Wildfire

As the need for wildfire adaptation for human populations in the wildland-urban interface (WUI) intensifies in the face of changes that have increased the number of wildfires that exceed 100 thousand acres, it is becoming more important to come to a better understanding of social complexity on the WUI landscape. It is just as important to further our understanding of the social characteristics of the individual human settlements that inhabit that landscape and attempt to craft strategies to improve wildfire adaptation that are commensurate with local values, management preferences, and local capabilities. The case study research presented in this article evaluates social characteristics present in a WUI community that faces extreme wildfire risk to both people and property. It explores social processes that impede the ability of community members to work together collectively to solve problems (e.g., wildfire risk) and offers an alternative perspective about the nature of residency status (i.e., full-time and non-full-time) and its role in influencing wildfire mitigation efforts. This article closes with recommendations intended to facilitate collective action and foster community development.
On-chip EMC issue: the implementation of patterned ground shields for silicon devices

This paper addresses some on-chip EMC issues for reducing power dissipation in the design of passive silicon-based devices operating at high frequencies. It is demonstrated that the implementation of patterned ground shields (PGS) together with differential technique can enhance the performance of spiral inductors, spiral transformers, and other devices effectively, which is compatible with standard CMOS fabrication technologies. However, the shielding effectiveness of a PGS is very sensitive to its embedding depth which should be chosen carefully. Some numerical results will be shown to demonstrate inductive couplings in various PGS inductors and transformers but are suppressed here.
Toil and Trouble: Contextualizing Student Success Work at Research Universities

ABSTRACT Through this study, I examined the experiences and perspectives of 16 administrators, faculty, and staff members (i.e. institutional actors) responsible for student success efforts in research universities. Using sociocognitive discourse analysis, I illuminated the social practices of institutional actors engaged in student success work, more especially how their’ experiences with and within their respective contexts shaped their approaches to and capacity for student success work. These insights contribute to and complicate student success research, especially discussions of how student success practices are implemented. Given these insights, institutions can identify and address how their environments impede the implementation of student success practices, and how to support and empower institutional actors as they do student success work within these environments.
Gıda Kalite Kontrolünde Kritik Kontrol Noktalarında Tehlike Analizi Sitemi ve Uygulamaları

Kritik Kontrol Noktalarinda Tehlike-Analizi sistemi, herhangi bir gida prosesinde mevcut tehlikeleri kontrol altina alarak ve riskleri en dusuk duzeyde tutmak icin gerekli kademeleri tayin ederek guvenilir gida uretimini amaclayan bir sistemdir. Sistemin sagladigi avantajlar proses kontrolunun buyuk bir guvenle saglanmasi, test yapma sikliginin azaltilmasi, emek ve kaynaklardan tasarruf saglanabilmesidir.
Developing New Empirical Formulae for the Resilient Modulus of Fine-Grained Subgrade Soils Using a Large Long-Term Pavement Performance Dataset and Artificial Neural Network Approach

Artificial neural network (ANN) has been successfully used for developing prediction models for resilient modulus (Mr). However, no reliable Mr formula derived from these models has been proposed in previous studies, although engineers/researchers need empirical formulae for hand calculation of Mr. Therefore, this study aimed to propose reliable empirical formulae for the Mr of fine-grained soils using ANN. For this purpose, thousands of ANN models were developed using the long-term pavement performance (LTPP) and external datasets. The input parameters were the percentage of soil particles passing through #200 sieve (P200), silt percentage (SP), clay percentage (CP), liquid limit (LL), plasticity index (PI), maximum dry density ([ρdry]max), optimum moisture content (wopt), confining pressure (σc), and nominal maximum axial stress (σz). The ANN models were compared with several constitutive models. The results indicate that the constitutive models failed to predict the Mr, and the best Mr predictions were obtained by the ANN-C9 (P200, SP, CP, LL, PI, σc, and σz), ANN-C10 (P200, SP, CP, [ρdry]max, wopt, σc, and σz), and ANN-C11 (P200, SP, CP, LL, PI, [ρdry]max, wopt, σc, and σz) models. Thus, the structures of these ANN models were formulated and proposed as the new empirical formulae for the Mr of fine-grained soils. Sensitivity analysis was also performed on these ANN models. It was determined that (ρdry)max is the most influential parameter in the ANN-C10 model, and LL is the most influential parameter in the ANN-C9 and ANN-C11 models. On the other hand, σc and σz are the least influential parameters.
Optimization of Location Management using Multi-Agent for Distributed Location Based Services

Location management is very important in location based services to provide services to the mobile users like banking, city guides and many more. Ubiquitous and mobile devices are the source of data in location management and its significant operations are update and search method. Some studies to improve these were presented by using optimal sequential paging, location area scheme and hierarchical database scheme. In addition, not all location based services have the same access methods on data and it lead to difficulties of providing services. A proposed location management of multi-agent is presented in this study. It shows the coordination of the agents on the distributed location-based services. In addition, the proposal focuses on the location management of the mobile object presented in a hierarchical search and update. An optimal search of mobile object is introduced. The method is done by agents which learns from the previous mobile request data in this research and decides the location of mobile object. The result using the technique optimizes the search method of the location management.
MOTIVATORS AND CRITICAL FACTORS FOR WORKSHARING IN DESIGN AND ENGINEERING NETWORKS

The globalization of infrastructure and building projects allows firms to operate subsidiary offices around the world. Furthermore, new technologies are rapidly changing work environments, thus enabling these companies to implement new work practices and processes to exploit new opportunities. The international design and engineering organizations, for example, now have the possibility to develop structures and processes that enable collaborative work by decomposing work tasks and distributing them across offices dispersed around the world. This exploratory research uses a series of qualitative case studies to investigate key characteristics of worksharing practices in project-based global design and engineering companies. Specifically, this paper identifies early results regarding the motivations, organizational strategies, success factors and barriers for worksharing within multinational design and engineering companies. This research aims to better understand the process of work distribution in international design and engineering companies and to extend existing knowledge with an empirical insight to this problem.
Carry-based reduction parallel counter design

Parallel counters are one of the important components to construct high performance DSP units including column compression multipliers (i.e. tree multipliers). As the multiplier size increases, designing optimised wider counters is critical for its performance, which is the motive of this study. This article proposes a novel approach to design (2 n −1, n) parallel counter using a reduction stage and a single (2 n −1 −1, n − 1) parallel counter. An algorithm to construct the reduction stage for any counter size is presented. The designs of parallel counter examples using the proposed algorithm are discussed. Finally, the proposed design performance metrics (in terms of delay, power and energy-delay-product) are compared with the conventional parallel counter designs. The proposed designs achieve 13% average speed up, 10% power reduction and 32% improvement in energy-delay-product compared with conventional counters.
Circular RNA circ_0000644 promotes papillary thyroid cancer progression via sponging miR-1205 and regulating E2F3 expression

ABSTRACT The dysregulation of circular RNAs (circRNAs) facilitates the tumorigenesis of papillary thyroid carcinoma (PTC). This study was targeted at determining the functions and mechanism of circ_0000644 in regulating PTC development. Circ_0000644, microRNA-1205 (miR-1205) and E2F transcription factor 3 (E2F3) expressions were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Actinomycin D (ActD) and Ribonuclease R (RNase R) assays were used to verify the circular characteristic of circ_0000644. After circ_0000644 was knocked down, PTC cell growth, migration, invasion and apoptosis were assessed by cell counting kit-8 (CCK-8) assay, Transwell assay and flow cytometry analysis, respectively. The regulating relationships among circ_0000644, E2F3 and miR-1205 were confirmed through RNA immunoprecipitation (RIP) assay and dual-luciferase reporter assay. Besides, the regulatory effects of circ_0000644 on the protein level of E2F3 was analyzed via Western blot. In PTC, circ_0000644 was highly expressed, and it was located mainly in the cytoplasm, and it had stable structure. The knockdown of circ_0000644 repressed PTC cell growth, migration, and invasion, and facilitated apoptosis. Circ_0000644 could directly interact with miR-1205 to repress the expression of miR-1205, and it served as a miR-1205 sponge to modulate E2F3 expression in PTC cells. Circ_0000644 up-regulates E2F3 expression via sponging miR-1205 to promote PTC progression.
Impacts of spatiotemporal resolution and tiling on SLEUTH model calibration and forecasting for urban areas with unregulated growth patterns

ABSTRACT The SLEUTH model provides a framework for understanding land use evolution around urban areas. Calibration of SLEUTH’s behavioral coefficients can be impacted by scale and nonlinear transitions due to the SLEUTH land use deltatron module’s assumption of linear Markov change probabilities. This study attempted to establish what spatial resolution and temporal scale produces the most accurate forecasts given the linear change assumption. The impact of tiling the input data was also examined. To determine these, SLEUTH was calibrated at four spatial and three temporal scales for Ibadan, Nigeria using both untiled and tiled data. Calibration results were evaluated using accuracy metrics including Figure of Merit (FOM) and mean uncertainty. The best mix of calibration metrics (FOM 0.26) and mean uncertainty (11.64) was achieved at 30 m resolution and an intermediate temporal interval. Tiling input data led to overfitting, allowing good model fit within individual tiles but a reduction in trend recognition across land use types. Subsequently, a 2040 projection that is as accurate as possible, and scientifically justifiable given the available data, was produced. The findings provide a framework for understanding the effect of spatiotemporal scale on SLEUTH inputs that require tiling particularly for urban areas in the global south.
Analysis and design of impedance-transforming planar Marchand baluns

A technique for designing impedance-transforming baluns is presented in this paper. It is based on the Marchand balun with two identical coupled lines. By varying the coupling factor of the coupled sections, a wide range of impedance transforming ratios can be achieved. In addition, a resistive network added between the balun outputs is proposed to achieve balun output matching and isolation. Microstrip baluns, matched at all ports, for transforming from a 50-/spl Omega/ source impedance to 40-/spl Omega/ as well as 160-/spl Omega/ load terminations are realized to demonstrate the technique.
Noise control of high speed shinkansen

Abstract A review of Shinkansen noise and methods for its control is given. In the process of controlling the noise, it has been found that many types of noise are generated from various parts of cars and other installations. These include rolling noise, bridge structure noise, pantograph spark noise, pantograph aerodynamic noise, other aerodynamic noise and gear noise. The countermeasures to reduce the individual noise are described. In order to control wayside noise, we must know the contribution of each noise element. For this purpose, “microphone array” and “parabola microphone” measurements are made. The methods of treatment of the data obtained by this measuring equipment are shown, and the amount of noise generated from the individual noise source is estimated. When the train speed increases, the contribution of aerodynamic noise becomes large. It will be considerably reduced if the surface of cars is smooth. Finally, we deduce the least possible noise values of Shinkansen, on the basis of the results obtained so far.
The Stripline Circulator: Theory and Practice

This chapter contains sections titled: Complex Gyrator Circuit of Weakly Magnetized Junction Circulator Very Weakly Magnetized Gyromagnetic Resonator Weakly Magnetized Gyromagnetic Resonator Moderately Magnetized Gyromagnetic Resonator The Degree-2 Circulator Gap Effects in Circulator Assemblies Suspended Planar Resonator Passband Frequencies of a Three-Port Junction in Immittance Plane Open Walls Spinwave Instability in Magnetic Insulators Frequency Doubling in Ferrites Second-Order Intermodulation in Magnetic Insulators Temperature Stability of Magnetic Insulators Below the Kittel Line Third-Order Intermodulation Products in Nonlinear Devices