Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Zero-Sequence-Voltage-Balanced SVPWM With the Analyses of Common-Mode Voltage and Differential-Mode Current

In three-phase voltage source converters (VSCs), the high-frequency leakage current can be easily suppressed by the common-mode choke, while low-frequency component would be an unfavorable factor to the inductor design. Thus, as the excitation source, the low-frequency common-mode voltage (CMV) should be properly managed. This article analyzes the low-frequency CMV impulse by constructing a 3-D voltage vector space, and a novel modulation method is proposed to eliminate the low-frequency CMV. Meanwhile, a comparative study is conducted between the proposed method and the other four typical space vector pulsewidth modulation (PWM) (SVPWM) method from the view of CMV and differential-mode current (DMC). In the analysis, a double-current-ripple-envelopes method is proposed to describe the current ripples. Besides, the influence of modulation indexes and power factors on DMC are considered and evaluated. And a guiding rule for choosing the appropriate modulation method for three-phase VSCs is provided. Finally, the theoretical analysis and proposed method are experimentally validated under a 5-kW three-phase PWM converter.
Energetic Efficiency and Environmental, Economic, Societal Benefits of Microdiesel from Biowastes

Lignocellulosic biowastes can be utilized to produce microdiesel, a promising alternative energy source for limited crude oil and food based biofuels. As an alternative fuel, microdiesel produced from lignocellulosic materials has superior environmental benefits; be economically competitive; be producible in sufficient quantities and the energy conversion efficiency was also estimated in the article in theory. In the article, Populus euramevicana cv leaves acid hydrolysate has been utilized as a substrate for microbial oil production using Rhodotorula glutinis. Microdiesel was further produced by transesterification and most properties complied with the limits established by ASTM related to biodiesel quality. In order to further reduce the cost, exogenous depolymerization enzymes used in the hydrolysis process could be replaced with plants that are capable of synthesizing these enzymes in situ and the cellulase and hemicellulase would be produced and break down the cell wall just before harvest.
Compact dual-frequency PIFA designs using LC resonators

We report our investigation into single-feed dual-frequency planar inverted F antenna (PIFA) designs which make use of LC resonators (or "RF traps"). We introduce three basic methods for incorporating the LC resonator into the PIFA, including a variant of the meandering PIFA. Experimental results are provided and these show that dual-frequency operation at 900 (cellular systems) and 1800 MHz (personal communication systems) can be achieved for all three designs.
Research on Hardware Security of Embedded System in Cloud Environment

Cloud computing is an important innovation of current computing models. At present, the research on the security of cloud computing is mainly concentrated on PCs and servers. The security of embedded system in cloud environment does not win enough attention. This paper analysis the security threats of it, and proposes a Secure Hardware Model to provide a tamper-resistant and more reliable hardware embedded platform in cloud environment. Our model adds some new components to traditional embedded system, controls the start sequence of platform’s components, verifies the integrity of crucial information for embedded platform and recovers the system if necessary. Our implementation demonstrates the feasibility of Secure Hardware Model, it enhance the secure and reliable boot of embedded system. With the constant development and application of embedded system in cloud computing field, our research will influence cloud computing greatly.
Redesign Shovel To Be More Efficient, Convenient and Safe

Shovel, hoe, fork hoe, and hole digger are commonly used in various material handling work manually. So far, only a few studies have been done for special ergonomically designed tool that will serve the purposes of the shovel, hoe, fork hoe, and hole digger. This research examined the efficiency of specifically combined tools shovel, hoe, fork hoe, and hole digger named as multifunction shovel for digging, lifting, and moving bulk materials such as soil, coal, gravel and sand. This project was built to minimize physical workload, reduce the time taken to perform this task, and mitigate health and safety risks. There were 20 respondents involved in this study and they were required to test the project before completing observation checklists and questionnaires. The findings revealed that the students had strong approval on each function and feature of the project. There were a few recommendations on how the project could be improved to be safer and more efficient.
A Micro Broadband Photodetector Based on Single Wall Carbon Nanotubes-Graphene Heterojunction

A room-temperature broadband (visible to near infrared spectrum) photodetector based on single wall carbon nanotubes (SWCNTs) and graphene heterojunction was fabricated in this work, by drop-casting the SWCNTs suspension onto the graphene field-effect transistor with the buried-gate electrode. A high photoresponsivity of 109 A/W and a fast photoresponse speed of 2.9 ms were obtained within the visible region based on the photogating effect. This high gain mechanism leads to a high photoconductive gain (9.1 × 106). In addition, the photodetector exhibits a photoresponsivity of 51.5 A/W at 940 nm, indicating a wide spectrum detection capability. Moreover, a higher photoresponsivity can be obtained by tuning the source-drain and gate bias voltages. This approach provides an easy and feasible way to achieve broadband heterojunction photodetectors with high-performance.
Reliability Evaluation System of Electronics Components

The reliability, that is long-term quality, requires a different approaching from short-term quality which is used before. As the electronic components are to be easily normalized on the reliability evaluation, many reliability prediction methodologies are used. In this study, integrated reference model of reliability prediction is serviced for existing PRISM and Bellcore which is related on reliability prediction about electronic components, and will service reliability data based on PoF (Physics of Failure) from domestic research center. The constructed frame of reliability evaluation system, which can predict and evaluate reliability of electronic components and MEMS, is designed by using online service of the reliability data accumulated on web. To evaluate proposed system, the reliability evaluation of PCB (Printed Circuits Boards), which is used in NC controller of machine tools, is introduced according to PRISM, the representative reference model of reliability prediction about electronic components based on MIL-HDBK-217F.
Mirror synthesis in a mechatronic system for superficial defect detection

This paper deals with the problem of defect detection on highly reflective surfaces making use of vision systems. A new mechatronic system has been developed, based on a nonflat mirror. According to the method described in this paper, the light rays emitted from a source hit a suitably designed nonflat mirror, and are reflected so as to illuminate the curved surface under investigation. The path of the light rays from the source of light to the mirror and then to the object surface is mathematically traced making use of the optical geometry laws. After the reflection on the object surface, the light rays are collected by a charge-coupled device (CCD) camera and elaborated by a vision system, which manages to detect the surface defects as shadows of various shape and size within the picture. Simulations have been carried out in order to provide the optimal mirror shape. Moreover, a prototype of the mechatronic system, including the synthesized mirror, has been built to perform some experimental tests to validate the method. The results, reported in the paper, definitively show the effectiveness of the proposed method.
Response threshold reinforcements and division of labour in insect societies

A model of division of labour in insect societies, based on variable response thresholds is introduced. Response thresholds refer to the likelihood of reacting to task–associated stimuli. Low–threshold individuals perform tasks at a lower level of stimulus than high–threshold individuals. Within individual workers, performing a given task induces a decrease in the corresponding threshold, and not performing the task induces an increase in the threshold. This combined reinforcement process leads to the emergence of specialized workers, i.e. workers that are more responsive to stimuli associated with particular task requirements, from a group of initially identical individuals. Predictions of the dynamics of task specialization resulting from this model are presented. Predictions are also made as to what should be observed when specialists of a given task are removed from the colony and reintroduced after a varying amount of time: the colony does not recover the same state as that prior to the perturbation, and the difference between before and after the perturbation is more strongly marked as the time between separation and reintroduction increases.
A general approach to network analyzer calibration

A general-purpose algorithm, the TCX algorithm, for network analyzer and test fixture calibration is presented. The algorithm can handle most of the existing calibration methods, including symmetrical test fixtures. Any combination of one-port or two-port standards can be used. There is a possibility of partial self-calibration, if one of the standards is a two-port network or a through connection. The algorithm is applied to get simple equations covering the TSD, LDX (LRL), LAX, and LMX methods (X being an unknown one-port or symmetrical two-port network). A transmission path is allowed between the ports of standard X. In the TSD method, the delay line can be replaced with an attenuation network or with a matched load; also, the through line can have an unknown delay line and attenuation. A method of root choice for LRL and similar methods in conjunction with test fixtures is described. The method of least-squares-fit can be applied, when redundant data are available. It gives an essential improvement of accuracy in the simulation of a symmetrical test fixture. >
Thermographic identification of wetted insulation on pipelines in the arctic oilfields

Steel pipes used at Alaskan oil-producing facilities to transport production crude, gas, and injection water between well house and drill site manifold building, and along cross-country lines to and from central processing facilities, must be insulated in order to protect against the severely cold temperatures that are common during the arctic winter. A problem inherent with this system is that the sealed joints between adjacent layers of the outer wrap will over time degrade and can allow water to breach the system and migrate into and through the insulation. The moisture can ultimately interact with the steel pipe and trigger external corrosion which, if left unchecked, can lead to pipe failure and spillage. A New Technology Evaluation Guideline prepared for ConocoPhillips Alaska, Inc. in 2001 is intended to guide the consideration of new technologies for pipeline inspection in a manner that is safer, faster, and more cost-effective than existing techniques. Infrared thermography (IRT) was identified as promising for identification of wetted insulation regions given that it offers the means to scan a large area quickly from a safe distance, and measure the temperature field associated with that area. However, it was also recognized that there are limiting factors associated with an IRT-based approach including instrument sensitivity, cost, portability, functionality in hostile (arctic) environments, and training required for proper interpretation of data. A methodology was developed and tested in the field that provides a technique to conduct large-scale screening for wetted regions along insulated pipelines. The results of predictive modeling analysis and testing demonstrate the feasibility under certain condition of identifying wetted insulation areas. The results of the study and recommendations for implementation are described.
Recent Invaders in Small Mediterranean Islands: Wild Boars Impact Snakes in Port-Cros National Park

Mediterranean islands host unique ecosystems that are particularly vulnerable to invasive species. However, knowledge regarding the precise impact of invasive species on local biodiversity remains limited for many of these systems. Here we report on the negative impacts of invasive wild boars (Sus scrofa) on native snakes on islands in the Mediterranean basin. Capture-mark-recapture was initiated in 2012 on two snake species (Montpellier snake, Malpolon monspessulanus and Ladder snake, Zamenis scalaris) across two islands of Port-Cros National Park. Several wild boars, an invasive species, reached the islands in 2007. They remained confined to small areas of the islands for several years. In Port-Cros, the numbers of wild boars suddenly increased in 2015, and rapidly colonized the whole island damaging vast land surfaces. In Porquerolles, wild boars did not proliferate. This offered an opportunity to examine the impact of wild boar outbreak with a Before-After Control-Impact design (BACI). Snake counts and mark-recapture modeling showed that demographic traits were stable before 2016 for both snake species on both islands. As well as abundance, recruitment, and population growth rate of Montpellier snakes significantly declined where wild boars proliferated but remained constant on the island where they did not. Wild boars probably impacted snake numbers through habitat destruction and direct killing. The rapid decline of snakes (apex predators) and intensive uprooting that strongly damage ground dwelling species (plants, animals) suggest that wild boars represent a serious threat to island biodiversity. As elsewhere around the world, these invasive ungulates proliferate in the Mediterranean basin, they are proficient swimmers and exhibit a remarkably high invasive potential. We recommend vigilance and fast eradication to prevent population outburst; even a few a localized non-proliferating individuals contain the latent potential for devastating outbreaks.
Detection of bruises on apples using near-infrared hyperspectral imaging

Development of an automated bruise detection system will help the fruit industry to provide better fruit for the consumer and reduce potential economic losses. The objective of this research was to investigate the potential of near-infrared (NIR) hyperspectral imaging for detecting bruises on apples in the spectral region between 900 nm and 1700 nm. An NIR hyperspectral imaging system was developed and a computer algorithm was created to detect both new and old bruises on apples. Experiments were conducted to acquire hyperspectral images from Red Delicious and Golden Delicious apples over a period of 47 days after bruising. Results showed that the spectral region between 1000 nm and 1340 nm was most appropriate for bruise detection. Bruise features changed over time from lower reflectance to higher reflectance, and the rate of the change varied with fruit and variety. Using both principal component and minimum noise fraction transforms, the system was able to detect both new and old bruises, with a correct detection rate from 62% to 88% for Red Delicious and from 59% to 94% for Golden Delicious. The optimal spectral resolution for bruise detection was between 8.6 nm and 17.3 nm, with the corresponding number of spectral bands between 40 and 20. This research shows that NIR hyperspectral imaging is useful for detecting apple bruises. With improvement in image acquisition speed and detector technology, the NIR hyperspectral imaging technique will have the potential for offline inspection and online sorting of fruit for defects.
Information literacy: a framework for higher education

Information literacy has been a significant issue in the library community for many years. It is now being recognised as an important issue by the higher education community. This theoretical framework draws together important elements of the information literacy agenda specifically for tertiary educators and administrators. The frame-work examines three areas of primary concern: the possible outcomes of information literacy education (through outlining the characteristics of information literate people); the nature of information literacy education; and the potential role of stake-holders (including information services, faculty, staff developers and learning counsellors) in helping staff and students to be information literate. This theoretical framework forms part of the Griffith University Information Literacy Blueprint. The Blueprint was designed between June and August of 1994. The project, a quality initiative of the Division of Information Services, was led by Janice Rickards, University Librarian.
Consumo de micronutrientes durante el embarazo y la lactancia

El estado nutricional adecuado de la mujer antes, durante y después del embarazo es fundamental para evitar complicaciones tanto obstétricas como perinatales. Los micronutrientes son esenciales para el desarrollo materno y fetal. El embarazo tiene una demanda metabólica especial de nutrientes de alta calidad. Además, la ingesta adecuada de micronutrientes puede mejorar directamente la calidad de la leche materna. Los suplementos pueden satisfacer la creciente demanda de estos elementos durante el embarazo y la lactancia, reduciendo el riesgo de anomalías congénitas fetales, patologías obstétricas y desarrollo de enfermedades crónicas en la edad adulta. Sin embargo, existe información contradictoria sobre la eficacia y seguridad de los suplementos nutricionales durante el embarazo. Es importante que el personal médico pueda brindar consejos precisos y adecuados basados en evidencia sobre el consumo de suplementos durante el embarazo, ya que no todas las embarazadas necesitan utilizar suplementos en forma regular, pero es necesario identificar a las embarazadas con riesgo de presentar alguna deficiencia. El objetivo de esta revisión fue analizar los efectos del consumo de micronutrientes en el embarazo y la lactancia.
Design of a Fractal Dual-Polarized Aperture Coupled Microstrip Antenna

In this paper, a fractal dual-polarized aperture-coupled microstrip antenna is presented. The proposed antenna adopts 1st Minkowski fractal patch and is fed by the aperture-coupled structure with H-shaped and H-shaped loaded capacitance. The size of Minkowski fractal patch is reduced by 20% compared with a square patch. Results show that the T/R isolation is better than 35dB, improved by 2dB compared with the double H-shaped slots. The gain is more than 8dB, and the front-back ratio is greater than 20dB in the operating frequency range. Both simulated and experimental results are in good agreement.
Malicious Android Applications in market place: How Do We Fix It?

Android Smartphone applications are getting tremendously popular in various fields like business, social, media, health, scientific, and even military. On one hand, enterprises can take the benefit of Android applications to support their business needs. On the other hand, Android devices contain rich sensitive data—e.g., GPS location, photos, calendar, contacts, email, and files—which is critical to the enterprise and unauthorized access to this sensitive data can lead to serious security risks. In this paper, we describe the nature and sources of sensitive data, what malicious applications can do to the data, and possible enterprise solutions to secure the data and mitigate the security risks. The purpose of this paper is to raise employees' and enterprises' awareness against such security threats and risk. Keyword: Android, Security Risk
Fog Big Data Analysis for IoT Sensor Application Using Fusion Deep Learning

The IoT sensor applications have grown in extreme numbers, generating a large amount of data, and it requires very effective data analysis procedures. However, the different IoT infrastructures and IoT sensor device layers possess protocol limitations in transmitting and receiving messages which generate obstacles in developing the smart IoT sensor applications. This difficulty prohibited existing IoT sensor implementations from adapting to other IoT sensor applications. In this article, we study and analyze how IoT sensor produces data for big data analytics, and it also highlights the existing challenges of intelligent solutions. IoT sensor applications required big data classification and analysis in a Fog computing (FC) environment using computation intelligence (CI). Our proposed Fog big data analysis model (FBDAM) and BPNN analysis model for IoT sensor application using fusion deep learning (FDL) pose new obstacles for potential machine-to-machine communication practices. We have applied our proposed FBDAM on the most significant Fog applications developed on smart city datasets (parking, transportation, security, and sensor IoT dataset) and got improving results. We compared different deep and machine learning algorithms (SVM, SVMG-RBF, BPNN, S3VM, and proposed FDL) on different smart city dataset IoT application environments.
An innovative measurement programme for agile governance

Lack of governance is common in agile organisations. It is very hard to introduce good measurement and metrics programme in agile teams as resistance is usually high since people think agile is too much documentation. Constant evolution and adaptation is required in agile environment. This study proposes a measurement framework based on industry best practices while innovating on the way the programme is designed and institutionalised. The programme ran for at least 20 weeks on four projects. A number of field analysis were done on different attributes of the software and the software process. Data about the process, the product and resource was collected and analysed. Implementation of the Agile Measure Programme was very fast. A project took three weeks to start getting the first result. Data monitoring took about two weeks to set up. The programme could be ported to other projects in minutes. Improvements in the development lifecycle were noticeable in some cases moving from a UCL/LCL of 3σ to 1σ. Team productivity has increased by more than 30%. Decision making was made easier for management. Perceived situations were now based on data, providing less intuitive thinking.
Modeling and design for electrical performance of wideband flip-chip transition

A locally matching technique is proposed in this paper to improve the wideband performance of the flip-chip transition. The gap width of the coplanar waveguide (CPW) line in the bump pad region of both the chip and board is enlarged for achieving larger inductance to compensate the capacitance at the transition, making the approximate impedance close to 50 /spl Omega/. An equivalent circuit is derived from the frequency response of the transition simulated by Sonnet and is used to control the zero frequency of the structure. With a properly chosen value of the enlarged width, the zero frequency can be controlled to achieve an optimal transition performance over an as wide as possible bandwidth. A systematic design procedure is established and employed to design a transition over a band from dc to 60 GHz. The design and simulation results are also compared with the measured data of a scaled structure as well as a realization of an optimized flip-chip transition design ranging from dc to Ka band. The measured data show a good agreement with the simulation results, if under a careful calibration procedure. Both demonstrate that the present transition design can achieve better than 25 dB in return loss and 0.2 dB in insertion loss over dc to 35 GHz.