Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Damping Coefficient Control of Virtual Synchronous Generator of Microgrid Inverter

In recent years, Virtual Synchronizer Generator (VSG), which simulates the inertia and damping of the synchronous generator, has been gradually applied in microgrid. This paper studies the microgrid inverter using the VSG control strategy. Due to the existence of virtual inertia and damping coefficient in the VSG, the frequency and output active power of the microgrid inverter will oscillate when the active power scheduling command is abrupt, and the inverter will break down in severe cases due to over-current protection. Aiming at this problem, based on the root trajectory analysis of active power closed-loop transfer function, the influence of damping coefficient on VSG stability and dynamic performance is studied, combined with the physical meaning of the power angle curve and damping coefficient of VSG, the fuzzy algorithm is proposed to configure virtual damping coefficient. The VSG adaptive control algorithm of the coefficient is given, and the membership function and fuzzy rule table are given. Finally, the correctness and effectiveness of the control strategy are verified by constructing the simulink simulation model.
BACTERIOLOGICAL STUDY ON VIBRIO PARAHAEMOLYTICUS ISOLATED FROM THE OUTBREAKS OF DIARRHEA IN LAOS, AN INLAND COUNTRY

An epidemic of Vibrio parahaemolyticus gastroenteritis with several outbreaks occurred in Vientiane, People's Democratic Republic of Lao (Laos), an inland country in August and September in 1997. Serotypes of the 36 isolated V.parahaemolyticus strains from the patients were all O3 : K6. The organisms grew in peptone water supplemented with 10%NaCl. All isolates were positive for Kanagawa phenomenon, and they were positive for tdh, negative for trh and urease. Genomic patterns were not completely identical, as determined by pulsed-field gel electrophoresis. The causative food was suspected to be a papaya salad containing minced and salted fresh water crab. Although a Kanagawa phenomenon positive V.parahaemolyticus strain was isolated from the suspicious food, the serotype was O2 : K28, tdh and trh were negative.
Research on Benchmarking of Smart Camera Based on Hardware-in-Loop (HiL)

With the development of the automotive industry, the development of smart camera technology that is closely related to the development of intelligent vehicles is becoming more and more important. This paper uses the hardware-in-loop method to replace the traditional real test environment with the virtual test environment provided by Carmaker software to simulate the two smart cameras of Mobileye and Maxieye, and obtain the superiority of each camera through the benchmarking of the test results. Therefore, a new smart camera evaluation method is proposed.
Self-organized Clustering -Fission Swarm System Based on the Coupling Degree of Weighted Information

The paper proposes the self-organized clustering-fission swarm system based on the coupling degree of weighted information. In previous work, researchers study the clustering or fission based on information coupling degree. However, the performance of clustering-fission is effected by the designing formation coupling degree. Adding the weight into information coupling degree can improve the performance of clustering-fission. The bigger the weight is, the higher the probability of clustering-fission occurrence will become. One main contribution of this paper is adjusted by weight. Finally, the proposed method is verified by simulation.
A Pneumonia Detection Method Based on Improved Convolutional Neural Network

For traditional machine learning and image processing, it is difficult to extract features, the quality of feature extraction will directly affect the classification accuracy, another problem is that the large difference between the original datasets and the target datasets in the transfer learning, lead to unsatisfactory results. In addition, the original convolution model network is too shallow, recognition rate is not high; Therefore, this paper presents an improved convolutional neural network method for pneumonia detection based on deep learning model. First, the image size in the original datasets are fixed and the appropriate batch size are used as the input of the network, Then the convolution layers and pooling layers are added on the basis of lenet-5 model, Secondly, a feature integration layer is added to construct an optimal model for accurate classification. The proposed method not only avoids the complex feature extraction process but also has fewer parameters than other classical convolutional neural networks. By using two public datasets, the second which provided by the RSNA® joint Kaggle medical image pneumonia recognition competition, after a series of experiments of single dataset and fusion of two datasets, the final accuracy rate reached 98.83% and 98.44% respectively, the test accuracy also reached 97.26% and 91.41% respectively. Compared with existing transfer learning, GoogleNet Inception V3+Data Augmentation(GIV+DA), GIV3+RF models, this model has many improvements.
K-means clustering with morphological filtering for silicon wafer grain defect detection

Grain surface defects have become an important factor affecting chip quality. How to correctly detect grain surface defects is a complicated and challenging task. Defect detection technology has become a key technology in the chip industry. K-means clustering algorithm is used for image segmentation. However, the traditional K-means clustering algorithm is sensitive to noise. In order to improve the robustness of K-means clustering algorithm to image segmentation, local spatial information is often introduced into the algorithm. This paper proposes an improved k-means clustering algorithm based on morphological filtering. By introducing morphological close operation and open operation into the k-means clustering algorithm, image noise immunity and detail preservation are guaranteed. Experiments show that the improved algorithm has good segmentation effect and is more robust to noise than the traditional k-means clustering algorithm. The improved algorithm can effectively detect grain surface defects with accuracy of 99.02%.
Reproductive conflicts in cooperative associations of fire ant queens (Solenopsis invicta)

In ants, unrelated queens frequently associate to initiate a colony cooperatively. The joint reproductive effort of the cofoundresses increases growth and survival of the incipient colony. However, such associations are unstable. Soon after emergence of the first workers, queen–queen and queen–worker fights lead to the death or expulsion of all but one cofoundress. Because no sexual offspring are produced in incipient colonies the surviving queen monopolizes the entire future reproductive success of the colony. Two factors, the queens' relative fighting ability and their relative contribution to worker production (assuming that workers can recognize and selectively favour their mother) have been proposed to influence the survival prospects of individual queens within associations. The effect of these two factors was tested in the fire ant Solenopsis invicta. Initial size differences, a potential measure of the queens’ fighting ability, affected the outcome of the conflicts, so that the initially heavier queen was more likely to survive. Differential loss of mass by initially equal nestmates also affected survival, with the queen losing more body mass being more likely to die. The manipulation of the queens’ relative contribution to the worker brood did not significantly affect the queens’ survival probability, suggesting that workers are unable to favour their mother.
Multiple Inertial Measurement Units–An Empirical Study

An inertial navigation system is commonly used in various marine platforms above and below the sea surface to calculate the position, velocity and orientation of its carrier platform. Such systems contain an inertial measurement unit (IMU) to measure the specific force and angular velocity which in turn are integrated to obtain the navigation state. Due to sensor noises and other error terms, the navigation solution drifts in time. In situations of pure inertial navigation (no external aiding), multiple IMUs (MIMU) can be used to improve the performance of a single unit. In this paper, we explore the benefits of using a MIMU system for common navigation operations. To that end, a 32 MIMU architecture (192 inertial sensors) was designed and constructed for the experimental evaluations. Utilizing this system we examined the effect of the number of sensors in the architecture versus position accuracy, stationary calibration, coarse alignment and gyro free design. We derive closed form empirical expressions enabling insight to the connection between number of IMUs to the expected performance.
Air Pollution Influences on 150 kV Transmission Insulators Performance

Insulator is one of high voltage equipment in power system transmission which separates high voltage part (conductor) and grounded structure (transmission tower). Most outdoor high voltage insulator installed in Indonesia were made of porcelain with certain electric property such as surface conductivity, Basic Insulation Level (BIL) value, and wet/dry flashover voltage. Therefore, the surface of the insulator must be kept clean during operation period to maintain the electric property. Higher industrial development gives higher environment pollution exposure toward insulator installed nearby the industrial area. This paper described the effect of industrial pollution exposure toward the breakdown of the porcelain insulator through Hardness testing, Scanning Electron Microscopy (SEM) testing, and Ambient air quality testing. Also, the recommendation for maintenance insulator in industrial area has been proposed. Ambient air quality result showed that very high Total Suspended Material (TSP) in the environment where the insulator installed. This pollutant is then recognized as iron material and the SEM result showed that this pollutant stick to the surface of the damaged insulator. Iron pollution exposure created conductive layer on the surface of the insulator that decrease the insulation capability of the insulator. Therefore, the insulator would be breakdown due to the flow of power arc under overvoltage stress during lightning strike. For insulator located in industrial area, it’s recommended to perform frequent cleaning by using appropriate method as stated in standard.
A Leader-Follower Strategy for Implementing Demand Responses in Power Distribution Systems

In this paper, a new dynamic pricing scheme is proposed for demand response aggregators (DRAs) to maximize their profits. A Stackelberg game is established to model the interactions between a load serving entity (LSE) and DRAs, and a bi-level optimization formulation attained. In the upper-level problem, the energy procurement from the wholesale electricity market is determined for the LSE based on the electricity price forecast, while DRAs adjust their consumption patterns with respect to the dynamic pricing scheme. The proposed model is transformed into a mixed-integer, quadratically-constrained quadratic programming (MIQCQP) problem, and the corresponding Karush-Kuhn-Tucker (KKT) conditions are attained to represent the optimality of the lower-level problem. The complementary constraints in the KKT conditions are linearized using big-M reformulation. Finally, the effectiveness of the proposed approach is demonstrated by numerical examples.
Barcoding of Cryptic Stages of Marine Brown Algae Isolated from Incubated Substratum Reveals High Diversity in Acinetosporaceae (Ectocarpales, Phaeophyceae)1

Abstract — To identify cryptic stages of marine brown macroalgae present in the “bank of microscopic forms”, we incubated natural substrata of different geographical origins and isolated emerging Phaeophyceae into clonal cultures. A total of 431 clones were subsequently identified by barcoding using 5′-COI. A proportion of 98% of the isolates belonged to the Ectocarpales. The distribution of pairwise genetic distances revealed a K2P divergence of 1.8% as species-level cut-off. Using this threshold, the samples were ascribed to 83 different species, 39 (47%) of which were identified through reference sequences or morphology. In the Ectocarpaceae, 16 lineages of Ectocarpus fulfilled the barcode criterion for different species, while three putative new species were detected. In the Chordariaceae, numerous microthalli were microstages of known macroscopic taxa. A separate cluster contained Hecatonema maculans and other microscopic species. Taxa traditionally classified in Acinetosporaceae were split in two species-rich groups containing Pylaiella and Hincksia in one and Acinetospora in the other. Feldmannia species were present in both clusters. The present study shows that the germling emergence method is suited to reveal the diversity of hidden life-history stages, albeit with a bias towards early successional species.
Representation Learning in Wireless Multimedia Communications

With the advent of 5G wireless communication systems, multimedia data is predicted to grow rapidly in the near future. As a result, the large amount of multimedia data puts huge pressure on wireless communication, which poses a huge challenge to network capacity. Multimedia data (image/ video) intelligent compression is an effective way to increase the network capacity and improve the user's QoE. The success of image/video compression generally depends on data representations. Although specific domain knowledge can be used to help design representations, learning with generic priors can also be used, and the quest for AI is motivating the design of more powerful representation learning algorithms implementing such priors. This article proposes an intelligent computing communication framework to reduce the amount of transferred data. Simultaneously, it reviews the area of representation learning, covering advances in dictionary learning, RoI, and deep learning image/video compression methods. Furthermore, we compare various compression methods as well as point out promising future works.
Investigation of Gap Cavity in Millimeter Multilayer Planar Antenna Array for 5G Applications

The demand for 5G communication systems is to deliver high data rate and to provide larger capacity. Millimeter wave technology is considered to be the best solution for such requirements. 5G antennas are required to have a small size to fit into the commercial cellular handsets, large bandwidth to deliver the required capacity and high gain to combat the high attenuation of mm-waves. In this paper, a reference aperture-coupled four-element multilayer planar array is optimized for operation in the Ka-band. Different gap cavities between the antenna layers are assessed for better performance and ease of fabrication. A low cost millimeter 5G antenna operating at 28 GHz is fabricated and the achieved bandwidth is 7.1% as compared to the 4.6% in the original design.
Multiple Targets Identification in the Linear CCD Measurement System

Optical measurement based on three linear charge-coupled devices (CCD) has prominent advantages in precise coordinate measurement and dynamic position tracking. However, it is difficult for the linear CCD optical measurement system to distinguish multiple markers when they are illuminated simultaneously, which leads to a marker matching problem. This paper proposes a new marker correspondence scheme to distinguish three markers in the linear CCD system by using four pairs of linear CCDs and cylindrical lenses. The relationship of projection points on four linear CCDs of one marker is derived. The analysis of the constraint equation is given, and the most suitable projection points which come from the markers are matched. The numerical simulation is conducted to demonstrate the feasibility of the proposed method, and the result shows that this approach enables the linear CCD measurement system to identify the correspondence relationship of three markers, thus breaks through the limitation that the linear CCD measurement system can only track one marker at a time.
Channel Prediction of Wideband OFDM Systems in a Millimeter-Wave Band Using Delay-Domain Multipath Detection

In multi-user MIMO systems, we can achieve high-capacity downlink transmission without interferences using precoding at a base station. We need, however, accurate channel state information (CSI). In time-varying environments, the CSI may be outdated at the actual transmission time. Frequent pilot symbol transmission decreases the communication efficiency. One of the solutions to this challenging issue is channel prediction, that is, we predict future channels from observed past channels. This paper presents a channel prediction method for wideband OFDM systems. The method detects multipath components in a delay domain using fast iterative shrinkage-thresholding algorithm (FISTA). We evaluate the prediction performance, and compare it with that using IDFT. It has been shown that the proposed method using FISTA is excellent in terms of prediction accuracy in a sparse propagation environment. In an environment where we have densely located multipath components around clusters, the performance degrades and is almost the same as that of the method using IDFT.
The conservation of European reptiles and amphibians

This work on the conservation of European reptiles and amphibians is published for the IUCN and the EEC to mark the European Year of the Environment and has been prepared by the European Reptile and Amphibian Specialist Group of the IUCN Species Survival Commission. It is the result of analysis by researchers in this field and concludes with an action plan outlining the most urgent and important measures that need to be taken. Approximately 90 species of reptile and 45 species of amphibian that occur in Europe are discussed here, many of which are among the most seriously threatened species of animal in Europe. Some of the most threatened species are endemic to Europe, often to tiny areas, and their long-term survival is, therefore, in considerable doubt. Reptiles and amphibians are suffering from habitat destruction, disturbance, and collecting for the pet trade. Many species of amphibian are also threatened by pollution of their breeding sites.
Effect of rearing system on growth, body composition and development of digestive system in young lambs

Summary In the present work the carcass composition and fatty acid composition of the fat deposits of young Colmenarcna and Rubia del Molar male lambs fed with natural milk and with commercial milk replacer were studied. The daily gain during the late phase of feeding (15-30 days) was higher in the animals that were reared artificially than in those fed by their mothers (310 versus 245 g/day, p < 0.001). Carcass characteristics and dissected shoulder tissues were not markedly affected by dietary treatment. Lambs receiving sheep milk had higher concentration of C15: 0, C17: 0 and total saturated fatty acids than groups receiving milk replacer (p = 0.001). A higher rumen, reticulum, omasum, abomasum and small intestine development was also found in lambs fed by their mothers compared with those fed milk replacers (p < 0.05). The results from this experiment suggest that lambs artificially reared have a lower rumen functionality and might be slaughtered at higher weights without a concomitant loss of meat quality. Zusammenfassung Einflus des Tranksystems auf Wachstum, Korperzusammensetzung und Entwicklung des Verdauungskanals bei Lammern Je 10 neugeborene Lammer der Rassen Colmenarena und Rubia del Molar konnten uber 30 Tage entweder an ihrer Mutter saugen oder sie wurden mit einem Milchaustauscher ernahrt. Die Anfangsgewichte betrugen im Mittel 3,4 kg, die Endgewichte 10,5 kg/Lamm. Im Versuchsabschnitt vom 15. –30. Tag betrugen die Tageszunahmen der an der Mutter saugenden Lammer 245 g und die der mit Milchaustauscher ernahrten Tiere 310 g (p < 0.001). Die Korperzusammensetzung war durch die Tranke nicht signifikant beeinflust. Die mit Muttermilch ernahrten Lammer wiesen hohere Konzentrationen an C15:0, C17:0 und insgesamt an gesattigten Fettsauren auf als bei Einsatz von Milchaustauschern. Die saugenden Lammer wiesen ein hoheres Gewicht des vollen Magen-Darmtraktes auf (1599 bzw. 1265 g). Auch die Leergewichte von Pansen, Reticulum, Omasum, Abomasum und Dunndarm waren bei den an der Mutter saugenden Lammern signifikant hoher als bei den mit Milchaustauschern ernahrten Tieren. Infolge der geringen Pansenentwicklung wird geschlusfolgert, das die mit Milchaustauschern ernahrten Lammer ohne Beeinflussung der Fleischqualitat mit einem hoheren Gewicht geschlachtet werden konnen.
Decomposition of standing litter of the freshwater emergent macrophyte Juncus effusus

Summary 1. Standing dead plant litter of emergent macrophytes frequently constitutes a significant fraction of the detrital mass in many freshwater wetland and littoral habitats. Rates of leaf senescence and decomposition of the emergent macrophyte Juncus effusus were examined in a small freshwater wetland in central Alabama, U.S.A. Juncus effusus leaves in the initial stages of senescence were tagged in random plant tussocks and monitored periodically to determine in situ rates of leaf senescence and death. Fully senescent leaves were collected, placed in litter bags, and suspended above the sediments to simulate standing dead decay conditions. Litter bags were periodically retrieved over 2 years and analysed for weight loss, litter nutrient contents (N, P), associated fungal biomass and fungal taxa. 2. Senescence and death of J. effusus leaves proceeds from the leaf tip to the base at an exponential rate. The rate of senescence and death of leaf tissue increased with increasing temperatures. Plant litter decomposition was slow (k = 0.40 yr–1), with 49% weight loss observed in 2 years. Both the nitrogen (N) and phosphorus (P) concentration (%) of litter increased during decomposition. However, the total amount of nitrogen (mg) in litter bags remained stable and phosphorus increased slightly during the study period. 3. Fungal biomass associated with plant litter, as measured by ergosterol concentrations, varied between 3 and 8% of the total detrital weight. Values were not significantly different among sampling dates (P > 0.05, ANOVA, Tukey). Fungi frequently identified on decaying litter were Drechslera sp. , Conioscypha lignicola (Hyphomycetes), Phoma spp. (Coelomycetes), Panellus copelandii and Marasmiellus sp. (Basidiomycota). 4. These results support previous findings that plant litter of emergent macrophytes does not require submergence or collapse to the sediment surface to initiate microbial colonization and litter decomposition.