Ultra high definition HEVC DASH data set

YTNR (Yunnan Tongbiguan Nature Reserve) is located in the westernmost part of China’s tropical regions and is the only area in China with the tropical biota of the Irrawaddy River system. The reserve has abundant tropical flora and fauna resources. In order to realize the real-time detection of wild animals in this area, this paper proposes an improved YOLO (You only look once) network. The original YOLO model can achieve higher detection accuracy, but due to the complex model structure, it cannot achieve a faster detection speed on the CPU detection platform. Therefore, the lightweight network MobileNet is introduced to replace the backbone feature extraction network in YOLO, which realizes real-time detection on the CPU platform. In response to the difficulty in collecting wild animal image data, the research team deployed 50 high-definition cameras in the study area and conducted continuous observations for more than 1,000 hours. In the end, this research uses 1410 images of wildlife collected in the field and 1577 wildlife images from the internet to construct a research data set combined with the manual annotation of domain experts. At the same time, transfer learning is introduced to solve the problem of insufficient training data and the network is difficult to fit. The experimental results show that our model trained on a training set containing 2419 animal images has a mean average precision of 93.6% and an FPS (Frame Per Second) of 3.8 under the CPU. Compared with YOLO, the mean average precision is increased by 7.7%, and the FPS value is increased by 3.

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Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies

Sensors ◽

10.3390/s21062169 ◽

2021 ◽

Vol 21 (6) ◽

pp. 2169

Author(s):

Viktor Tihanyi ◽

Tamás Tettamanti ◽

Mihály Csonthó ◽

Arno Eichberger ◽

Dániel Ficzere ◽

...

Keyword(s):

Ground Truth ◽

Global Navigation Satellite Systems ◽

Sensor Data ◽

Automated Driving ◽

High Definition ◽

Data Set ◽

Measurement Campaign ◽

Satellite Systems ◽

Road Geometry ◽

Global Navigation Satellite

A spectacular measurement campaign was carried out on a real-world motorway stretch of Hungary with the participation of international industrial and academic partners. The measurement resulted in vehicle based and infrastructure based sensor data that will be extremely useful for future automotive R&D activities due to the available ground truth for static and dynamic content. The aim of the measurement campaign was twofold. On the one hand, road geometry was mapped with high precision in order to build Ultra High Definition (UHD) map of the test road. On the other hand, the vehicles—equipped with differential Global Navigation Satellite Systems (GNSS) for ground truth localization—carried out special test scenarios while collecting detailed data using different sensors. All of the test runs were recorded by both vehicles and infrastructure. The paper also showcases application examples to demonstrate the viability of the collected data having access to the ground truth labeling. This data set may support a large variety of solutions, for the test and validation of different kinds of approaches and techniques. As a complementary task, the available 5G network was monitored and tested under different radio conditions to investigate the latency results for different measurement scenarios. A part of the measured data has been shared openly, such that interested automotive and academic parties may use it for their own purposes.

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War and Third-party Trade

Journal of Conflict Resolution ◽

10.1177/0022002716644329 ◽

2016 ◽

Vol 62 (1) ◽

pp. 119-142 ◽

Cited By ~ 5

Author(s):

Nizan Feldman ◽

Tal Sadeh

Keyword(s):

Fixed Effects ◽

Third Parties ◽

Third Party ◽

Trade Policies ◽

High Definition ◽

Data Set ◽

Dyadic Data ◽

Business Partners ◽

Fixed Effects Regression ◽

Almost All

Few studies explain how wars affect trade with third parties. We argue that wartime trade policies should raise trade with friendly and enemy-hostile third parties but reduce trade with hostile and enemy-friendly third parties. At the same time, the private motivation of firms and households may be incompatible with national wartime trade policies and constrain the effectiveness of wartime trade policies. Our directed dyadic data set consists of almost all of the states from 1885 to 2000. Running a high definition fixed effects regression with two-way clustering of standard errors, we find that hostile third parties tended to reduce trade with a combatant state by roughly 30 percent. In addition, trade with third parties friendly to the enemy fell by a similar magnitude. In contrast, on average, war hardly affected trade with third parties because of substitution of war-ridden markets with third-party business partners.

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Virtual endoscopic environments in modern neurosurgical practice

Neurosurgical FOCUS ◽

10.3171/foc.1999.6.4.14 ◽

1999 ◽

Vol 6 (4) ◽

pp. E13 ◽

Cited By ~ 1

Author(s):

Michael L. Levy ◽

Joseph C. T. Chen ◽

Arun P. Amar ◽

Shinya Yamada ◽

Koji Togo ◽

...

Keyword(s):

Three Dimensional ◽

Virtual Endoscopy ◽

Therapeutic Interventions ◽

Clinical State ◽

Physiological Data ◽

Data Sets ◽

Planar Imaging ◽

High Definition ◽

Data Set ◽

Planar Images

Modern radiographic techniques have allowed the creation of high-definition planar images that can provide important anatomical as well as physiological data. Planar imaging sets can be reformatted into three-dimensional (3-D) data sets that can then be manipulated to demonstrate important anatomical or gross pathological features. Three-dimensional data sets have been used with success in modern image-guided or frameless stereotactic surgery. Another potential application is so-called "virtual endoscopy" or "scopeless endoscopy," in which a 3-D anatomical data set is reformatted into a volume-rendered image that can then be viewed. By reformatting images in this way, a "surgeon's-eye" view can be obtained, which can aid in presurgical planning and diagnosis. The use of virtual endoscopy has the potential to increase our understanding of the appropriate anatomy and the anatomical relationships most apparent during neurosurgical approaches. In so doing, virtual endoscopy may serve as an important means of planning for therapeutic interventions. On the other hand, one must always be cognizant of the technical limitations of these studies regardless of the quality of the reconstructed images. Prospective, correlative, clinical studies in which the anatomical advantages of virtual-based endoscopy are evaluated in large cadaver or patient series must be performed. Until then, the only potential ways to compensate for errors that exist in the algorithms and reconstructions of 3-D endoscopic images are based on the surgeon's understanding of the clinical state of the patient and prior experience with the anatomy in the region of question.

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Robustness of single-isocenter multiple-metastasis stereotactic radiosurgery end-to-end testing across institutions

10.21203/rs.3.rs-15983/v1 ◽

2020 ◽

Author(s):

Daniel L Saenz ◽

Niko Papanikolaou ◽

Emmanouil Zoros ◽

Evangelos Pappas ◽

Michael Reiner ◽

...

Keyword(s):

Stereotactic Radiosurgery ◽

Treatment Plan ◽

High Definition ◽

Data Set ◽

Passing Rate ◽

Gamma Analysis ◽

Delivery Technique ◽

End To End ◽

Single Isocenter ◽

Gamma Passing Rate

Abstract Background The accuracy of stereotactic radiosurgery to multiple brain metastases with a single isocenter using high definition dynamic radiosurgery (HDRS) was evaluated to assess robustness, repeatability, and possibility of inter-institutional quality assurance amongst multiple institutions. Methods A CT simulation scan obtained from a previously treated patient was used as the data set for targeting seven brain lesions. A VMAT treatment plan was generated using Monaco and was replicated at six HDRS-capable institutions using a plan template. All institutions subsequently irradiated 3D-printed head anthropomorphic phantoms mimicking the patient’s anatomy. Three different phantoms with a point dosimeter insert, film insert, and a gel dosimeter were used. Absolute dosimetry end-to-end dosimetric accuracy as well as gamma analysis for relative dose distribution agreement analysis was used to evaluate measurement agreement with calculation. Results Point measurements averaged across all institutions using six-degree-of-freedom treatment positioning correction were within 1.2±0.5%. The average gamma passing rate in the film plane using 3D global 3D gamma analysis was 96.6±2.2% (3%/2 mm). For all targets within 4 cm of the isocenter, the 3D dosimetric gel gamma passing rate averaged across institutions was >90% (3%/2 mm). 88.0% average gamma passing rate was found for targets beyond 4 cm. The targeting accuracy of high definition dynamic radiosurgery assessed by geometrical offset of the center of dose distributions was established across multiple institutions in this study to be within 1 mm for targets within 4 cm of isocenter. Conclusions Across variations in clinical practice, comparable dosimetry and localization is possible with this treatment planning and delivery technique.

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Importance of Australia's offshore oil and gas infrastructure for fish

The APPEA Journal ◽

10.1071/aj20106 ◽

2021 ◽

Vol 61 (2) ◽

pp. 429

Author(s):

D. McLean ◽

T. Bond ◽

E. S. Harvey ◽

D. Ierodiaconou ◽

K. Cure ◽

...

Keyword(s):

Fish Species ◽

Oil And Gas ◽

Scientific Data ◽

Ecological Communities ◽

High Definition ◽

Remotely Operated Vehicle ◽

Data Set ◽

Marine Research ◽

North West ◽

The Impact

An assessment to remove, partially remove, leave in situ or repurpose oil and gas infrastructure at end of field life can be more robust if it uses rigorous, relevant and accurate data. We used industry remotely operated vehicle (ROV) video, specialised high-definition stereo-video systems and partnered with industry to enhance future ROV campaigns for the collection of scientific data from infrastructure. Data from 17 pipelines and 51 wells were analysed to report on patterns in fish species richness and abundance in Australia’s north, north-west and south-east regions. This represents the largest synthesised data set on marine communities for pipelines and wells, globally. We observed 401 fish species, 350 along pipelines and 113 on well infrastructure. Potential new fish species, critically endangered species, unique behaviours and diverse communities were discovered around pipeline and well infrastructure. Predicting the environmental consequences of different decommissioning options relies on a region-specific understanding of the ecological communities that are associated with these structures. We showcase marine research from around Australia that will inform local decommissioning and contribute to a more comprehensive global understanding of the impact of subsea infrastructure in our oceans.

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CCTV Surveillance for Unprecedented Violence and Traffic Monitoring

Journal of Innovative Image Processing - December 2019 ◽

10.36548/jiip.2020.1.003 ◽

2020 ◽

Vol 2 (1) ◽

pp. 25-34 ◽

Cited By ~ 7

Author(s):

Dr. Dhaya R.

Keyword(s):

Open Source ◽

Real Time ◽

Motion Detection ◽

Rural Areas ◽

Traffic Monitoring ◽

High Definition ◽

Data Set ◽

Proposed Model ◽

Alignment Process ◽

Cctv Surveillance

Monitoring of traffic and unprecedented violence has become very much necessary in the urban as well as the rural areas, so the paper attempts to develop a CCTV surveillance for unprecedented violence and traffic monitoring. The proffered method performs the synchronization of the videos and does proper alliance employing the algorithms of motion detection and contour filtering. The steps in motion detection identifies the movement of the objects such as vehicles and unprecedented activities whereas the filtering is used to identify the object itself using its color. The synchronization and the alignment process affords to provide the details of the each objects on the scenario. The proposed algorithm is developed in Java which assists its model using its library that is open source. The validation of the proposed model was carried out using the data set acquired from real time and results were acquired. Moreover the results acquired were compared with the algorithms that were created in the early stages, the comparison proved that the proffered model was capable of obtaining a consecutive quick outcomes of 12.3912 *factor than the existing methods for the resolution of the video used in testing was 240.01x 320.01 with 40 frames per second with cameras of high definition. Further the results acquired were computed to run the application of the embedded CPU and the GPU processors.

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Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements

Atmospheric Measurement Techniques ◽

10.5194/amt-10-3175-2017 ◽

2017 ◽

Vol 10 (9) ◽

pp. 3175-3201 ◽

Cited By ~ 31

Author(s):

Holger Baars ◽

Patric Seifert ◽

Ronny Engelmann ◽

Ulla Wandinger

Keyword(s):

Spherical Particles ◽

Hygroscopic Growth ◽

Backscatter Coefficient ◽

High Definition ◽

Data Set ◽

Quasi Particle ◽

Lidar Measurements ◽

Temporal And Spatial ◽

Physical Features ◽

Large Spherical

Abstract. Absolute calibrated signals at 532 and 1064 nm and the depolarization ratio from a multiwavelength lidar are used to categorize primary aerosol but also clouds in high temporal and spatial resolution. Automatically derived particle backscatter coefficient profiles in low temporal resolution (30 min) are applied to calibrate the lidar signals. From these calibrated lidar signals, new atmospheric parameters in temporally high resolution (quasi-particle-backscatter coefficients) are derived. By using thresholds obtained from multiyear, multisite EARLINET (European Aerosol Research Lidar Network) measurements, four aerosol classes (small; large, spherical; large, non-spherical; mixed, partly non-spherical) and several cloud classes (liquid, ice) are defined. Thus, particles are classified by their physical features (shape and size) instead of by source. The methodology is applied to 2 months of continuous observations (24 h a day, 7 days a week) with the multiwavelength-Raman-polarization lidar PollyXT during the High-Definition Clouds and Precipitation for advancing Climate Prediction (HD(CP)2) Observational Prototype Experiment (HOPE) in spring 2013. Cloudnet equipment was operated continuously directly next to the lidar and is used for comparison. By discussing three 24 h case studies, it is shown that the aerosol discrimination is very feasible and informative and gives a good complement to the Cloudnet target categorization. Performing the categorization for the 2-month data set of the entire HOPE campaign, almost 1 million pixel (5 min × 30 m) could be analysed with the newly developed tool. We find that the majority of the aerosol trapped in the planetary boundary layer (PBL) was composed of small particles as expected for a heavily populated and industrialized area. Large, spherical aerosol was observed mostly at the top of the PBL and close to the identified cloud bases, indicating the importance of hygroscopic growth of the particles at high relative humidity. Interestingly, it is found that on several days non-spherical particles were dispersed from the ground into the atmosphere.

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Rotational Characteristics of the Green Solar Corona: 1947-1991

International Astronomical Union Colloquium ◽

10.1017/s0252921100025197 ◽

1994 ◽

Vol 144 ◽

pp. 139-141 ◽

Cited By ~ 2

Author(s):

J. Rybák ◽

V. Rušin ◽

M. Rybanský

Keyword(s):

Solar Corona ◽

World Wide ◽

Rotation Period ◽

Original Data ◽

Coronal Emission ◽

Time Intervals ◽

Data Set ◽

The World ◽

Coronal Emission Line ◽

Homogeneous Data

AbstractFe XIV 530.3 nm coronal emission line observations have been used for the estimation of the green solar corona rotation. A homogeneous data set, created from measurements of the world-wide coronagraphic network, has been examined with a help of correlation analysis to reveal the averaged synodic rotation period as a function of latitude and time over the epoch from 1947 to 1991.The values of the synodic rotation period obtained for this epoch for the whole range of latitudes and a latitude band ±30° are 27.52±0.12 days and 26.95±0.21 days, resp. A differential rotation of green solar corona, with local period maxima around ±60° and minimum of the rotation period at the equator, was confirmed. No clear cyclic variation of the rotation has been found for examinated epoch but some monotonic trends for some time intervals are presented.A detailed investigation of the original data and their correlation functions has shown that an existence of sufficiently reliable tracers is not evident for the whole set of examinated data. This should be taken into account in future more precise estimations of the green corona rotation period.

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Difference Fourier Analysis of Glucose Embedded and Frozen Hydrated Purple Membrane

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100053164 ◽

1982 ◽

Vol 40 ◽

pp. 74-75

Author(s):

Jules S. Jaffe ◽

Robert M. Glaeser

Keyword(s):

Purple Membrane ◽

Data Set ◽

High Resolution Data ◽

X Ray ◽

X Ray Crystallography ◽

Fourier Techniques ◽

Versus Protein ◽

The Difference ◽

Difference Fourier ◽

Ideal Method

Although difference Fourier techniques are standard in X-ray crystallography it has only been very recently that electron crystallographers have been able to take advantage of this method. We have combined a high resolution data set for frozen glucose embedded Purple Membrane (PM) with a data set collected from PM prepared in the frozen hydrated state in order to visualize any differences in structure due to the different methods of preparation. The increased contrast between protein-ice versus protein-glucose may prove to be an advantage of the frozen hydrated technique for visualizing those parts of bacteriorhodopsin that are embedded in glucose. In addition, surface groups of the protein may be disordered in glucose and ordered in the frozen state. The sensitivity of the difference Fourier technique to small changes in structure provides an ideal method for testing this hypothesis.

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