Seal Identification Research Articles

Artificial intelligence assisted on seal design: Taking stable diffusion as an example

<p>In view of the possible problems of seal design, such as slow design speed, large error rate of seal identification, weak standardization and poor user satisfaction, how to use AI technology to solve these problems and improve the efficiency and automation of seal design is the focus of this research. This article used web crawlers and stable diffusion to collect exquisite seal images as the data source for research, and used median filtering to denoise the collected images. After graying the image using the weighted average method, histogram equalization is used for image enhancement. This article combined artificial intelligence technology and digital certificates to construct an electronic seal, and inputs the constructed electronic seal into the stable diffusion for further processing to obtain the final designed seal. The experiment showed that when the number of seals to be designed was 1, the time required to use stable diffusion for design was 1.11 seconds. At the same time, the average score of seal evaluators designed by stable diffusion in this article was 9.5 points (out of 10 points). With the help of artificial intelligence and stable diffusion, the study on seal design can improve the efficiency and accuracy of design, show good performance and stability in handling complex design tasks, and provide an effective solution to the limitations and efficiency of traditional seal design methods. At the same time, it also enhances the innovation and diversity of design, reduces the design cost, and improves the accuracy and efficiency of automated authenticity identification.</p>

Oil Identification of harp seal and other select marine mammals

Because of the rich omega-3 fatty acids content, harp seal (Pagophilus groenlandicus) oil is a popular supplement that is packaged as pills in Canada and sold for medicinal purposes, although this practice is banned in the United States. Due to US regulations, it is important to be able to distinguish between fish oil and seal oil, but the taxonomic determination of oils provenance has been a difficult problem to solve. In this study, Direct Analysis in Real Time time-of-flight mass spectrometry (DART TOFMS) was used to analyze the chemotypes of blubber samples collected from seven species of marine mammals, including seals, sea lions, and a porpoise. Results indicated that the chemotype profiles found in negative-ion mode could be used to separate all of the species using Discriminant Analysis of Principal Components (DAPC). Consequently, this study suggests that it may be possible to identify the taxonomic source of marine mammal oils based on chemical chemotypes.

Highly productive fishing in Lake Onega? New data on the subsistence basis of the Late Stone age populations in Russian Karelia

Recent excavations of the site of Fofanovo XIII (ca. 3500 to 3000 cal BC) on the western shore of Lake Onega, Russian Karelian, yielded evidence of production of Russian Karelian axes and adzes, as well as a rich faunal assemblage. Consisting mainly of unburnt bones, this assemblage represents a rare occurrence in Karelia and the neighboring regions of Russia and Finland, and sheds light on the subsistence of the Late Neolithic / Eneolithic populations of the Lake Onega. Fish bones overwhelmingly dominate, indicating a primary reliance on aquatic food resources, with the most common species being zander (over 80 %) and pike (ca. 9 %). In the specific natural conditions of the Early Subboreal in Lake Onega, zander was the species that could yield the maximal return of the invested effort, and this caused a very narrow specialization of fishing activities. The stable food supply provided by fishing favored tendencies towards complexity, which are evident through studies of the Russian Karelian industry. The analysis of the annual rings of zander vertebrae indicates that the site was in use during the snowless season. The identification of ringed seal, Atlantic sturgeon, and Wels catfish, which are not present in the lake nowadays, are also important results of the analysis.

Flow-State Identification of Oil-Based Magnetic Fluid Seal Based on Acoustic Emission Technology

At present, most research studies on the changing process of the magnetic fluid seal are analyzed with the pressure signal of each chamber or the magnetic fluid flow photos taken by a camera, which need to change the seal structure. Based on nondestructive acoustic emission technology, a flow-state identification model of the oil-based magnetic fluid seal using the grey wolf optimizer and random forest is proposed in this study. The acoustic emission signal and pressure signal are collected at the same time under static conditions in the two-stage pole shoes oil-based magnetic fluid seal experiment. Through power spectrum analysis of the acoustic emission signal with the aid of pressure signal, the changing process before seal failure is divided into three states: no magnetic fluid flow, the first pole shoe magnetic fluid flow, and two pole shoes magnetic fluid flow together. Then, the time- and frequency-domain features of acoustic emission signal samples are extracted to form feature vectors as inputs, and the flow-state identification model is established based on the grey wolf optimizer and random forest. The experimental results show that the testing accuracy and F1 scores (the index representing the precision and recall at the same weight) of three states are close to or higher than 90%. The effectiveness of oil-based magnetic fluid seal flow-state identification model based on non-destructive acoustic emission technology is proved.

SEALNET: Facial recognition software for ecological studies of harbor seals.

Methods for long‐term monitoring of coastal species such as harbor seals (Phoca vitulina) are often costly, time‐consuming, and highly invasive, underscoring the need for improved techniques for data collection and analysis. Here, we propose the use of automated facial recognition technology for identification of individual seals and demonstrate its utility in ecological and population studies. We created a software package, SealNet, that automates photo identification of seals, using a graphical user interface (GUI) software to detect, align, and chip seal faces from photographs and a deep convolutional neural network (CNN) suitable for small datasets (e.g., 100 seals with five photos per seal) to classify individual seals. We piloted the SealNet technology with a population of harbor seals located within Casco Bay on the coast of Maine, USA. Across two years of sampling, 2019 and 2020, at seven haul‐out sites in Middle Bay, we obtained a dataset optimized for the development and testing of SealNet. We processed 1752 images representing 408 individual seals and achieved 88% Rank‐1 and 96% Rank‐5 accuracy in closed set seal identification. In identifying individual seals, SealNet software outperformed a similar face recognition method, PrimNet, developed for primates but retrained on seals. The ease and wealth of image data that can be processed using SealNet software contributes a vital tool for ecological and behavioral studies of marine mammals in the developing field of conservation technology.

Real-Time, Nondestructive Optical Feedback Systems for Infrared Laser Sealing of Blood Vessels.

High-power infrared (IR) diode lasers are capable of sealing blood vessels during surgery. This study characterizes an optical feedback system for real-time, nondestructive identification of vessel seals. A low power, red aiming beam (635 nm) was used for diagnostics, co-aligned with a therapeutic high-power IR beam (1470 nm). The IR laser delivered either 30 W for 5 s for successful seals or 5 W for 5 s for unsuccessful seals (control). All studies used a linear beam measuring 8.4 × 2.0 mm. Optical signals for successful and failed seals were correlated with vessel burst pressures (BP) using destructive testing via a standard BP setup. Light scattering increased significantly as vessels were coagulated. Successful seals correlated with a percent decrease in optical transmission signal of 59 ± 11 % and seal failures to a transmission decrease of 23 ± 8% (p < 0.01). With further development, the real-time optical feedback system may be integrated into a laparoscopic device to de-activate the laser upon successful vessel sealing.

Molecular identification of the first Galapagos fur seal (Arctocephalus galapagoensis) reported on the central coast of Oaxaca

Several sightings of different pinniped species have been recorded outside their typical areas of distribution. In May 2019, pinniped yearlings were sighted on 4 occasions on the central coast of Oaxaca, Mexico. One of them was found injured in La Escobilla (Oaxaca, Mexico) and was transported immediately to the Centro Mexicano de la Tortuga for rehabilitation. Visual identification of the species was inconclusive, as young individuals of several fur seal species can be very similar. A molecular analysis was thus performed to confirm the species. DNA was extracted from the individual, and a fragment of the mitochondrial DNA control region was sequenced and aligned with several sequences of other fur seal species. A parsimony analysis was performed, and the tree revealed that the individual was a Galapagos fur seal, Arctocephalus galapagoensis. This is the first record of this species on the central coast of Oaxaca. The atypical presence of this species in the country could be related to high sea surface temperatures associated with events such as El Niño.

Writing sequence identification of seals and signatures in documents using ambient mass spectrometry imaging with chemometric methods

Identifying the writing sequence of seals and signatures in documents is often performed and difficult to resolve in forensic determination. Morphological and physical-chemical analysis methods are often limited by the destructive nature of samples, a high signal response strength and specific materials. Mass spectrometry imaging (MSI) has been used as an alternative method because it can generate molecular images from many surfaces and produce rich chemical information. Herein, we developed a sequence identification method by coupling an air flow-assisted desorption electrospray ionization (AFADESI)-MSI system with a chemometric analysis, which can holistically and directly analyse document samples under ambient, moderate and selectable conditions and maintain the original appearance of the paper documents after sampling. By integrating principal component analysis (PCA) and the partial least squares discriminant analysis (PLS-DA), equivocal point analysis can be objectively performed, where knowing the components of the seal or signature is not necessary to identify the sequence. In total, 28 prepared samples with known sequences and two original blind test samples were analysed. One prepared sample was analysed in negative ionization mode, and other samples were inferred in positive ionization mode. All writing sequences were in accordance with the actual case. The writing sequence of the blind testing of the original samples was correctly identified. This study provided a convenient, objective and quasi-nondestructive method to investigate the sequence differences among equivocal document samples and is promising for providing an alternative method for the sequence identification of seals and signatures in questionable documents.

An Accelerating Sweep Frequency Excitation Method for the Rotordynamic Coefficients Identification of Annular Gas Seals Based on Computational Fluid Dynamics

Abstract This article proposes a rotordynamic identification method using the accelerating sweep frequency excitation method. The computational fluid dynamics transient solution combined with the moving grid method is utilized to obtain the transient flow field of the seal excited by the whirling rotor with an accelerating frequency. Rotordynamic coefficients at swept frequencies are obtained by analyzing the transient response force acting on the rotor. Rotordynamic coefficients of three published experimental seals including a labyrinth seal, a fully partitioned pocket damper seal and a honeycomb seal are identified to validate the proposed method. The results show that the predicted rotordynamic coefficients are all well agreement with the trend of experimental data. Compared with the existing numerical models based on transient solutions, the central processing unit consumption of the proposed method is substantially reduced by 98% when achieving the same frequency resolution. In addition, the impact of the exciting acceleration on the identification accuracy is also illustrated.

Regional and field assessments of potentials for geological storage of CO2: A case study of the Niger Delta Basin, Nigeria

The Niger Delta, as an actively producing oil and gas region has potential to develop into a new CO2 geological storage hub. Criteria for screening basins for Carbon Capture and Storage (CCS) was used in combination with 3D seismic data and well information to assess the basin's potential in this contribution. It is shown here that the presence of excellent reservoir-seal pair, very large basin size, suitable reservoir depth, matured oil and gas fields, moderate faulting intensity, availability of giant hydrocarbon fields and being a passive margin generally makes the Niger Delta basin excellent environment for CCS. High resolution 3D seismic dataset and well information from case study areas enabled identification of potential reservoir, traps and seals. Geomechanical analyses have shown that slip tendency is generally low while fracture stability is high, which indicates that the study area is stable in the current stress regime.

Social media as a data resource for #monkseal conservation.

The prevalence of social media platforms that share photos and videos could prove useful for wildlife research and conservation programs. When social media users post pictures and videos of animals, near real-time data like individual identification, sex, location, or other information are made accessible to scientists. These data can help inform researchers about animal occurrence, behavior, or threats to survival. The endangered Hawaiian monk seal (Neomonachus schauinslandi) population has only 1,400 seals remaining in the wild. A small but growing population of seals has recently reestablished itself in the human-populated main Hawaiian Islands. While this population growth raises concerns about human-seal interactions it also provides the opportunity to capitalize on human observations to enhance research and conservation activities. We measured the potential utility of non-traditional data sources, in this case Instagram, to supplement current population monitoring of monk seals in the main Hawaiian Islands. We tracked all Instagram posts with the identifier #monkseal for a one-year period and assessed the photos for biological and geographical information, behavioral concerns, human disturbance and public perceptions. Social media posts were less likely to provide images suitable for individual seal identification (16.5%) than traditional sighting reports (79.9%). However, social media enhanced the ability to detect human-seal interactions or animal disturbances: 22.1%, of the 2,392 Instagram posts examined showed people within 3 meters of a seal, and 17.8% indicated a disturbance to the animal, meanwhile only 0.64% of traditional reports noted a disturbance to the animal. This project demonstrated that data obtained through social media posts have value to monk seal research and management strategies beyond traditional data collection, and further development of social media platforms as data resources is warranted. Many conservation programs may benefit from similar work using social media to supplement the research and conservation activities they are undertaking.

Leakage Characteristic Identification of Labyrinth Seals on Reciprocating Piston through Transient Simulations

In the reciprocating labyrinth piston compressor, the characteristic of the internal leakage is crucial for the leakage management and performance improvement of the compressor. However, most of the published studies investigated the rotor-stator system, and those who study the reciprocating piston-cylinder system basically focus on the effects of the geometrical parameters. These conclusions could not directly be applied to predict the real-time leakage flow rate through the labyrinth seal because of the fast reciprocating motion of the piston, which will cause continually pressure change in two compression chambers, and then the pressure fluctuation will affect the flow through the labyrinth seal. A transient simulation model employing the multiscale dynamic mesh, which considers the effect of the reciprocating motion of the piston in the cylinder, is established to identify the characteristics of the internal leakage. This model was verified by a specially designed compressor, and the influence of various parameters was analyzed in detail. The sealing performance decreased linearly with the increase in the pressure ratio, and higher pressure inlet leads to higher leakage flow under the same pressure ratio. The labyrinth seal performance positively correlated to the increase of the rotational speed. Leakage characteristics of five working mediums were carried out, and the results indicated that the relative leakage decreased with an increase in the relative molecular mass. From this study, the realistic internal leakage flow rate under different operating parameters in the reciprocating labyrinth piston compressor could be predicated.

Piceance Basin Mesaverde anomalous self-potential response: Identification of capillary seals in a basin-centered gas accumulation

Wells in the Piceance Basin show anomalous large-magnitude (up to 200 mV), large-interval (>2000 ft [610 m]) self-potential (SP) log responses in the Mesaverde gas-producing interval that can be best explained by electrokinetic potential resulting from water flow toward producing Mesaverde wells. Water flow is compartmentalized by capillary seals that are formed when gas generated from coals saturates adjacent thinly bedded sandstones and shales. Capillary seals can be identified by shifts in the SP baseline. The first wells drilled in an area with no previous Mesaverde production have very little SP response, as is expected in tight sandstones with single- to double-digit microdarcy permeability. After Mesaverde production is established in a new area, the SP log begins to show stepwise changes to more negative values beginning in the upper Mesaverde and becoming increasingly more negative with increased depth. The magnitude of the change to more negative values increases with time in an area of active Mesaverde production; some of the more recent SP logs have negative deflections of over 200 mV. This type of SP anomaly has not been reported before, and these anomalies can be used to identify large-scale water movement within a reservoir.

Educación odontológica en escolares de 7-9 años del colegio Andrés Rázuri del distrito San Martín de Porres

Se desarrolló un programa educativo sobre prevención en salud oral con un fuerte componente basado en estrategia lúdica en 28 niños de 7 a 9 años del colegio Andrés Rázuri del distrito San Martín de Porres. Se evaluó el nivel de conocimiento de los niños antes y después de la intervención encontrándose que antes de la intervención ninguno reconocía la caries dental como enfermedad, luego de recibir la información pertinente el 37% la identifica como tal, además que el 67% puede reconocer los 4 factores indispensables de su generación. El reconocimiento de los 3 elementos básicos de higiene varió de 46.4% a 88%, se modificó el concepto de momentos de cepillado de modo que lo asocien con los alimentos ingeridos de 17.9% a 56%, la identificación de sellante como elemento preventivo varió de 28% a 74%, entonces concluimos que los niveles de conocimiento fueron invertidos por la eficacia de las estrategias propuestas, reafirmando que la educación basada en el juego proporciona resultados positivos en la población infantil.

The Circular Seal Identification Method Based on Average Relative Error

This paper proposes a circular seal identification method which based on the average relative error. First it spread out the circular seal into rectangular ones, so as to gain the seal of rectangular image, then it projects the rectangular seal to get projection curve. using projection curve of the reserved seal and the cyclic shift of detected seal projection curve to achieve registration. It calculated the average relative error that according to the registration after the reserved seal and detected seal. With the average relative error of the seal get the authenticity. The experimental results show that this method can simplify the computation and improve the seal authenticity identification effectively, which can also be applied to the actual.

Rigid image registration via column sparse optimisation for seal registration

Image registration is an essential and important process in seal identification. Rigid image registration in seal identification is known to be more suitable than elastic registration. The registration process is quite sensitive to outliers in matched feature point pairs. A novel method to take the matching outliers as data corrupted by `sample-specific' error which can be modelled by a column sparse matrix is proposed. An optimisation problem is developed to describe this model. By solving the optimisation problem, corruption can be eliminated and the transformation model can be recovered simultaneously. An efficient algorithm called column sparse registration is given via the augmented Lagrange multiplier method. Experiments on real-world seal registration data demonstrate that the proposed method is robust to outliers among matched pairs and outperforms the state-of-the-art methods.

Recurring Influenza B Virus Infections in Seals

Recurring Influenza B Virus Infections in Seals

Analysis on Segmentation and Registration for Chinese Seal Identification

Analysis on Segmentation and Registration for Chinese Seal Identification

A New Seal Verification For Chinese Color Seal

Automatic seal imprint identification system is highly demanded in oriental countries. Even though several seal identification techniques have been proposed, it is seldom to find the papers on the recovery of lost seal imprint strokes caused by superimposition. In this paper, a new seal verification for Chinese color seal is proposed. This approach segments the seal imprint from the input image in terms of the adaptive thresholds. The lost seal imprint strokes are recovered based on the text stroke width that can be detected automatically. In addition, the moment-based seal verification is to compare the reference seal imprint and the recovered one. Experimental results show that the proposed method is able to correctly and efficiently verify the genuine and forgery seal imprint.

Estimates of the size of the Baltic grey seal population based on photo-identification data

The size of the year 2000 summer population of grey seals in the Baltic Sea was estimated using identification of individual seals from photographs taken over a period of 6 years. Photos were taken at haul-out sites within all major grey seal areas in the semi-closed Baltic Sea. The point estimate is 15,631, based on a value for annual survival of identification markings of 0.904, which was also estimated using the photo-id data, with 95% confidence limits from 9,592 to 19,005. The estimate is subject to an unknown, but probably small, upward bias resulting from the risk of failure to identify all individuals in the photographs used for the analysis. An estimated minimum of 15,950 seals were counted at moulting haul-outs in 2003, which thus provides a lower bound on the population size in that year and represents 80% of the photo-id point estimate.