Miracle-dz/UniFAR-FTUs huggingface dataset:
An Improved Swarm Optimizer for RFID Network Scheduling

Optimization of network scheduling is a significant way to improve the performance of the radio frequency identification (RFID) networks. This paper proposes an improved particle swarm optimization algorithm (PSO). It uses an animal foraging strategy to maintain a high diversity of swarms, which can protect them from premature convergence. The proposed algorithm is used to optimize the network performance by determining the optimal work status of readers. It has been tested in two different RFID network topologies to evaluate the effectivenesss. The simulation results reveal that the proposed algorithm outperforms the other algorithms in terms of optimization precision.
AN ANDROID BASED ADVISOR SYSTEM FOR EFFICIENT VEHICLE DRIVING DIRECTIONS

An android based advisor system based on the human intelligence to reach a particular destination at a given departure time. A good routing service is based on routes, traffic and drivers. GPS – equipped taxis are employed as mobile sensors providing the location-based services. Google and Bing maps also provide driving directions is just for user information. A landmark graph is built to estimate the traffic conditions based on certain parameters. Optimal path routing algorithm involves in identifying the optimal route based on the latitude and longitude position of the mobile user to reach a particular destination. The information about the user location is stored in the database a knowledge map is created to update the real time information to the mobile user.
Non-Linear Robust Control Designs for a Remotely Operated Underwater Vehicle Depth Control System

This paper describes the heave and pitch control of a non-linear longitudinal model of a remotely operated vehicle (ROV) using three robust non-linear control techniques. The techniques are based on input-output (I/O) linearization, comprising basic I/O linearization control, I/O linearization with sliding mode control and I/O linearization with adaptive fuzzy systems. Robustness of the designs is investigated by examining the closed-loop zero dynamics, which are shown to be bounded. The robustness of each control scheme is also investigated by varying the ROV hydrodynamic coefficients by 50 per cent. Simulation results are presented to compare the control schemes.
Analysis and design of a boost PFC converter with sample-and-hold control techniques

SUMMARY This paper proposes a simple control scheme for single-phase power factor correction (PFC) regulators, which provides the advantages of low current harmonic distortion and rapid transient response. Moreover, the proposed scheme needs only to add two sample-and-hold control circuits into the feed-forward voltage loop and feedback-voltage loop of PFC regulators. Accordingly, the system is not influenced by the 120-Hz ripple voltage but improves the transient response time and input current harmonic distortion. The operating principles and control scheme are analyzed in detail. A 300-W boost power factor corrector prototype is implemented to verify the feasibility of the proposed scheme. The experimental results are satisfactory. Copyright © 2014 John Wiley & Sons, Ltd.
Quench position reconstruction through harmonic field analysis in superconducting magnets

The performances of superconducting magnets for particle accelerators are limited by instabilities or disturbances which lead to the transition of the superconducting material to the normal resistive state and the activation of the quench protection system to prevent damage to the magnet. To locate the position of the state transition, voltage taps or quench antennas are the most commonly used technologies for their reliability and accuracy. However, during the production phase of a magnet, the number of voltage taps is commonly reduced to simplify the construction process and quench antennas are generally used only for dipoles or quadrupoles to limit the antenna design complexity. To increase the accuracy in the reconstruction of the quench event position, a novel method, suitable for magnets with independent superconducting coils and quench protected without the use of quench heaters, is proposed in this paper. This method, based on standard magnetic measurement techniques for field harmonic analysis, can locate the position of the superconductor transition inside the magnet after the quench event when the magnet has been discharged. Analyzing the not allowed harmonics produced in the field quality at zero current, the position of the quenched coils can be retrieved for any magnet orders without increasing the complexity of the dedicated measurement technique.
Switching impulse Breakdown of EHV Trnasmission Towers

Tests were performed to evaluate the switching impulse (S.I.) breakdown voltage of tower window models of different sizes. Window models were tested with positive polarity S.I. and with conductor-to-structure clearances of 4.55, 5.90, 7.60 and 8.75 meters. With each size of model the 50% breakdown voltage was determined for seven different wave-fronts with a time-to-crest between 60 and 800 ps and a half-amplitude time over 3500 ps. The time-to-breakdown was also recorded and correlated to the time-to-crest of the applied wave and the breakdown voltage.
An Overview of the Recommender System

Delivering recommendation services are the trend of the future, so Recommender System varied very vital and widely applied in e-commerce websites to help customers in finding the items they want. A recommender system should be able to provide users with useful information about the items that might be interesting to them. The ability of immediately responding to changes in users preferences is a valuable asset for such systems. In recommender system, a variety of methods have been emerged as the basis for recommender. However, existing recommendation methods have the limitation. To overcome this limitation, we will propose new recommender system by combining the existing techniques. So, we firstly give an overview of recommender system for the future researches.
Artificial Intelligence in Forensic Science

The work aims to find improved and extensive ways to Boost, Broaden and Vest Forensic Science techniques in all its branches by using current science & technologies and also employing the new, latest and upcoming technologies, such as Artificial Intelligence (AI). The paper converses the present-day and probable forthcoming applications of AI in Forensic Science. For example, AI can be employed in Blood Pattern Recognition & Analysis, Crime Scene Reconstruction, Digital Forensics, Image-processing and of course Satellite Monitoring. AI has a vast variety of applications, with preliminary being the investigation of crime scene till the ultimate judgment is being delivered by the court of law, AI show high potential in precision of result.
Probabilistic performance assessment of wind energy conversion systems

This paper describes the development of a general probabilistic model of an autonomous wind energy conversion system (WECS) composed of several wind turbines (wind farm) connected to a load and a battery storage. The proposed technique allows the simulation of wind farms containing identical or different wind turbines types and considers a bidirectional flow of power in and out of the battery. The model is based upon a simple procedure to estimate the joint probability distribution function of the total available wind power and that of the turbines operating modes due to hardware failure. A methodology is also developed to use the proposed model to determine an upper limit on the size of the battery storage required for a given number of turbines to satisfy the load with a certain expected energy not supplied (EENS). The model can also be used to evaluate the energy purchased from or injected to the grid in the case of grid-connected systems.
Predicting Physician Consultations for Low Back Pain Using Claims Data and Population-Based Cohort Data—An Interpretable Machine Learning Approach

(1) Background: Predicting chronic low back pain (LBP) is of clinical and economic interest as LBP leads to disabilities and health service utilization. This study aims to build a competitive and interpretable prediction model; (2) Methods: We used clinical and claims data of 3837 participants of a population-based cohort study to predict future LBP consultations (ICD-10: M40.XX-M54.XX). Best subset selection (BSS) was applied in repeated random samples of training data (75% of data); scoring rules were used to identify the best subset of predictors. The rediction accuracy of BSS was compared to randomforest and support vector machines (SVM) in the validation data (25% of data); (3) Results: The best subset comprised 16 out of 32 predictors. Previous occurrence of LBP increased the odds for future LBP consultations (odds ratio (OR) 6.91 [5.05; 9.45]), while concomitant diseases reduced the odds (1 vs. 0, OR: 0.74 [0.57; 0.98], >1 vs. 0: 0.37 [0.21; 0.67]). The area-under-curve (AUC) of BSS was acceptable (0.78 [0.74; 0.82]) and comparable with SVM (0.78 [0.74; 0.82]) and randomforest (0.79 [0.75; 0.83]); (4) Conclusions: Regarding prediction accuracy, BSS has been considered competitive with established machine-learning approaches. Nonetheless, considerable misclassification is inherent and further refinements are required to improve predictions.
Novel spectroscopy-based technology for biometric and liveness verification

This paper describes a new biometric technology based on the optical properties of skin. The new technology can perform both identity verification and sample authenticity based on the optical properties of human skin. When multiple wavelengths of light are used to illuminate skin, the resulting spectrum of the diffusely reflected light represents a complex interaction between the structural and chemical properties of the skin tissue. Research has shown that these spectral characteristics are distinct traits of human skin as compared to other materials. Furthermore, there are also distinct spectral differences from person to person. Personnel at Lumidigm have developed a small and rugged spectral sensor using solid-state optical components operating in the visible and very near infrared spectral region (400-940nm) that accurately measures diffusely reflected skin spectra. The sensors are used for both biometric determinations of identity as well as the determination of sample authenticity. This paper will discuss both applications of the technology with emphasis on the use of optical spectra to assure sample authenticity.
Quantitative Evaluation for Coupling Coordinated Development between Ecosystem and Economic System—Case Study of Chinese Loess Plateau

AbstractIn this study, models of coupling coordinated development (CCD) between ecosystems and economic systems are proposed to evaluate the CCD status of large-scale areas such as the Chinese Loess Plateau, aiming to support decision making to promote county-level coordinated development. In the generated model with the evaluation criteria, the CCD relationship of the plateau was assigned to three classes and 7 types and 12 subtypes. It demonstrates that the CCD status between the ecosystem and the economic system in the Chinese Loess Plateau is at a very low level. Results obtained from this project indicate this quantitative evaluation method is concise, applicable, and effective. Most importantly, the work has established a novel methodological framework for CCD evaluation of large-scale areas.
Applications of annular and L-shaped slot in PIFA design

Summary form only given. This paper proposes a single feed quad band (AMPS/GSM/DCS/PCS) PIFA (planar inverted-F antenna) suitable for global cellular communications. The design scheme proposed in this paper realizes the quad band operation of the PIFA through a combination of annular and L-shaped slots. Although the application of the L-shaped slot is commonly prevalent in many single feed dual band PIFA designs, the utilization of the annular slot in the PIFA design is not common and therefore seems to have not been reported. Further, this paper also suggests the specified merging of the L-shaped and annular slots to realize a wider bandwidth centered around the two resonant frequencies to accomplish quad band performance of the PIFA. Based on the above concept of merging of the L-shaped and annular slots, a single feed AMPS/GSM/DCS/PCS band PIFA has been developed with satisfactory bandwidth and gain performance.
Pour une meilleure appréhension de la variété des trajectoires d’internationalisation des entreprises artisanales

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Pour une meilleure appréhension de la variété des trajectoires d’internationalisation des entreprises artisanales Catherine Thevenard-Puthod
The social lives of network effects: Speculation and risk in Jakarta's platform economy

Under the designation “platform urbanism,” there is growing scholarly recognition that platform intermediaries are reconfiguring urban industries, processes, and relationships through the collection and manipulation of big data. Central to realizing this economic project is financial speculation on platforms’ ability to coordinate network effects—a phenomenon in which the more users there are in a networked system, the more valuable and useful it becomes. In this paper, I argue that while the existing literature recognizes the importance of network effects, it has also adopted a limited conceptualization that understands platform firms as the primary agents generating and capturing the economic benefits of network effects. Drawing on 12 months of ethnographic fieldwork in Greater Jakarta, Indonesia, I work to expand this understanding through attention to the social lives of network effects—the ways in which platform architectures are always embedded in social relations created and sustained in everyday urban life. I show how ride-hailing drivers have attempted to mitigate the risks of their work through building socio-technical networks of their own, for their own purposes. Doing so reveals that it is not only platform firms and venture capital that speculate on network effects; rather, a range of actors in the city-region seek to tap into driver networks to advance their own social, political, and economic ends. In conclusion, I suggest that attending to these practices opens up space to reframe platform urbanism beyond its current preoccupation with macro political economic analyses, while also establishing new lines of inquiry for “speculative urbanism. ”
U.S.-China Trade Friction and Global Value Chains

This article analyzes the trade relationship between the U.S. and China from the viewpoint of Global Value Chains (GVCs). We find that the international division of labor formed in the Asia-Pacific region plays a significant role in the growth of Chinese exports to the U.S., and particularly in the ICT sector, which accounts for most of the U.S. deficit in goods trade with China, foreign-invested enterprises in China have been the main players in increasing exports to the U.S. We also observe that the development of the international division of labor with China as the export base has impacted China’s value-added trade.
The Enterprise Model of GIS, and the Implications for People and Organizations

This paper will describe the Enterprise Model of GIS, and the implications for people and organizations that want to adopt it. The “enterprise” model is a multi-purpose system that is part of the operational framework of an organization. It is based on large-scale GIS data, including parcels and other land-related data. It supports a wide range of applications across the entire organization. The development of an Enterprise GIS is somewhat evolutionary, and happens in stages. Some organizations may get stuck in one stage for a long time, but for GIS technology to have the maximum benefit for an organization, its use must evolve to the enterprise level. The enterprise model has significant implications for organizations and people, because GIS changes the way people interact and share information. This paper will draw upon other published research on this topic as well as the experience of the author who has been involved in GIS development for over 20 years.
High-Performance Optical Gating in Junction Device based on Vanadium Dioxide Thin Film Grown by Sol-Gel Method

In this paper, a high-performance optical gating in a junction device based on a vanadium dioxide dioxide (VO 2 ) thin film grown by a sol-gel method was experimentally demonstrated by directly illuminating the VO 2 film of the device with an infrared light at ~1554.6 ㎚. The threshold voltage of the fabricated device could be tuned by ~76.8 % at an illumination power of ~39.8 ㎽ resulting in a tuning efficiency of ~1.930 %/㎽, which was ~4.9 times as large as that obtained in the previous device fabricated using the VO 2 thin film deposited by a pulsed laser deposition method. The rising and falling times of the optical gating operation were measured as ~50 ㎳ and ~200 ㎳, respectively, which were ~20 times as rapid as those obtained in the previous device.
10-Gb/s optical transmission up to 253 km via standard single-mode fiber using the method of dispersion-supported transmission

Using the new method of dispersion-supported transmission, 10 Gb/s signals at 1.53 /spl mu/m wavelength are transmitted on standard single-mode fiber with zero dispersion at 1.3 /spl mu/m via the record length of 253 km without in-line regeneration. Detailed experiments with a directly modulated laser demonstrate the system performance for different fiber lengths ranging from 0 up to 253 km. >
Hybridization of CSP Plants: Characterization of a Molten Salt Heater for Binary and Ternary Nitrate Salt Mixtures Fueled with Gas/Biogas Heaters

Hybridization of CSP plants with alternative energy sources (fuels) represents a means to improve flexibility of operation, power dispatchability and utilization factor of the plant. New generation CSP plants make use of molten salts as Heat Transfer Fluid (HTF) besides Thermal Energy Storage (TES) medium. Therefore, proper interfaces should be developed to effectively transfer the heat from the back-up source to the molten salt. This paper presents the results obtained in the experimental validation of an innovative gas-fueled Molten Salt Heater (MSH) prototype. The objective of this research is to validate the MSH design, where the specific properties of molten salts (compared to other HTFs, e.g., thermal oils) have to be taken into account. The developed reduced-scale MSH (90 kW thermal) consists of a heat exchanger with the molten salt flowing inside finned tubes cross-flowed with the hot flue gas generated in an upstream combustion chamber. LPG or a biogas-like mixture has been used as gas fuel. Experimental results have been obtained with two different molten salt mixtures: the “solar salt” binary mixture (NaNO3/KNO3, 60/40%w) typically used in CSP applications (up to 565 °C) and the ternary mixture known as Hitec XL® containing sodium/potassium/calcium nitrates (NaNO3/KNO3/Ca(NO3)2, 15/43/42%w) characterized by lower freezing temperatures. Experimental tests have been carried out changing some operative parameters like the flow rate of the molten salt (0.45–0.94 kg/s), the inlet temperatures of the molten salt (303–445 °C) and of the hot gas (596–632 °C). For both molten salt mixtures, it was demonstrated that heat transfer correlations based on the Dittus-Boelter equation allow to predict experimental results with <10% deviation between experimental and theoretical values of the heat transfer coefficient.
Preliminary Study on Climate Change Biomitigation by Improving CO2 Removal and CO2 Utilization Efficiency Using Microalgae Culture in Photobioreactor

Culture conditions are very important to CO2 bio-fixation related with the CO2 removal efficiency through biological process by microalgae photosynthesis activities. The aim of the research was to study how high CO2 utilization efficiency could reach in mix culture that supplied high CO2 concentration (2%, 5%, and 7%) continuously from the bottom of photobioreactor. The mix microalgae culture containing of Chlorella sp, Scenedesmusobliquus and Ankistrodemus sp. were cultivated in photobioreactor with various environmental treatments i.e light intensities, light periodism and temperatures whereas the fixed CO2 gas flow rate of 8 L.min-1. The results showed that microalgae growth was best at light intensity of 4000 lux for 16/8 hours light/darkness cycling, 30°C and 5% CO2 supplied, indicated by the highest dried biomass (g.L-1), the highest Carbon content was g.d-1 and highest CO2 removal efficiency (%) that were 2.7, 11.9, 49, respectively. However the highest CO2 utilization efficiency for bio-fixation phenomenon was obtained from culture that supplied by 2% CO2 concentration, the value was almost 2 fold than 5% CO2 supplied and 4 fold than 7% CO2 concentration supplied, respectively. Biological fixation of CO2 are greatly affected by the characteristics of the microalgae strains and their tolerance to environmental conditions.
Insights from Initial Variant Detection by Sequencing Single Sperm in Cattle

Meiotic de novo mutation (DNM) is one of the important phenomena contributing to gamete genome diversity. However, except for humans and a few model organisms, they are not well studied in livestock, including cattle. Moreover, bulk sperm samples have been routinely utilized in experiments, which include millions of single sperm cells and only report high-frequency variants. In this study, we isolated and sequenced 143 single sperms from two Holstein bulls and identified hundreds of candidate DNM events in ten sperms with deep sequencing coverage. We estimated DNM rates ranging from 1.08 × 10−8 to 3.78 × 10−8 per nucleotide per generation. We further validated 12 out of 14 selected DNM events using Sanger sequencing. To our knowledge, this is the first single sperm whole-genome sequencing effort in livestock, which provided useful information for future studies of point mutations and male fertility. Our preliminary results pointed out future research directions and highlighted the importance of uniform whole genome amplification, deep sequence coverage, and dedicated software pipelines for genetic variant detection using single-cell sequencing data.