A deep learning training method of water identification based on the Third National Land Survey data

2021 ◽  
Author(s):  
Zhida Chen ◽  
Chuan Lin ◽  
ChangLei Cao ◽  
Guang Gao ◽  
Liangzhong Ying
Keyword(s):  
Deep Learning ◽  
Survey Data ◽  
Training Method ◽  
The Third ◽  
Land Survey

scholarly journals Deep learning for intelligent diagnosis in thyroid scintigraphy

2021 ◽  
Vol 49 (1) ◽  
pp. 030006052098284
Author(s):  
Tingting Qiao ◽  
Simin Liu ◽  
Zhijun Cui ◽  
Xiaqing Yu ◽  
Haidong Cai ◽  
...  
Keyword(s):  
Deep Learning ◽  
Disease Diagnosis ◽  
Kappa Coefficient ◽  
Diagnostic Assessment ◽  
First Year ◽  
Thyroid Scintigraphy ◽  
Diagnostic Ability ◽  
The Third ◽  
Classification Time ◽  
Better Than

Objective To construct deep learning (DL) models to improve the accuracy and efficiency of thyroid disease diagnosis by thyroid scintigraphy. Methods We constructed DL models with AlexNet, VGGNet, and ResNet. The models were trained separately with transfer learning. We measured each model’s performance with six indicators: recall, precision, negative predictive value (NPV), specificity, accuracy, and F1-score. We also compared the diagnostic performances of first- and third-year nuclear medicine (NM) residents with assistance from the best-performing DL-based model. The Kappa coefficient and average classification time of each model were compared with those of two NM residents. Results The recall, precision, NPV, specificity, accuracy, and F1-score of the three models ranged from 73.33% to 97.00%. The Kappa coefficient of all three models was >0.710. All models performed better than the first-year NM resident but not as well as the third-year NM resident in terms of diagnostic ability. However, the ResNet model provided “diagnostic assistance” to the NM residents. The models provided results at speeds 400 to 600 times faster than the NM residents. Conclusion DL-based models perform well in diagnostic assessment by thyroid scintigraphy. These models may serve as tools for NM residents in the diagnosis of Graves’ disease and subacute thyroiditis.

Errata for "Cerebro: a data system for optimized deep learning model selection"

2021 ◽  
Vol 14 (6) ◽  
pp. 863-863
Author(s):  
Supun Nakandala ◽  
Yuhao Zhang ◽  
Arun Kumar
Keyword(s):  
Deep Learning ◽  
Model Selection ◽  
Learning Model ◽  
Communication Cost ◽  
Data System ◽  
Training Method ◽  
Fine Grained ◽  
Correct Communication ◽  
Deep Learning Model

We discovered that there was an inconsistency in the communication cost formulation for the decentralized fine-grained training method in Table 2 of our paper [1]. We used Horovod as the archetype for decentralized fine-grained approaches, and its correct communication cost is higher than what we had reported. So, we amend the communication cost of decentralized fine-grained to [EQUATION]

scholarly journals Visualisasi Video Pembelajaran dalam Melatih Kemampuan Mencuci Tangan bagi Anak Tunagrahita Kategori Sedang di SLB Negeri 2 Padang

2019 ◽  
Vol 4 (2) ◽  
pp. 155-164
Author(s):  
Wildan Dari ◽  
Irdamurni Irdamurni
Keyword(s):  
Action Research ◽  
Research Method ◽  
Initial Conditions ◽  
Action Observation ◽  
Mentally Retarded ◽  
Class Action ◽  
Training Method ◽  
Effective Learning ◽  
The Third ◽  
Planning Action

This research is motivated by a problem found in class VII SLB Negeri 2 Padang in moderate retardation students in January 2019. Researchers found a student who could not wash their hands properly. This study aims to determine whether the training method using effective learning videos to improve the ability to wash hands. This study uses a class action research method consisting of two cycles, each cycle consisting of planning, action, observation and reflection. The results of the study in the initial conditions were 12.90%. After the first cycle, the results of the first meeting (22.58%), the second meeting (32.25%), the third meeting (38.70%) and the fourth meeting (48.38). The results of the second cycle of the first meeting (58.06%), the second meeting (67.74%), the third meeting (74.19%) and the fourth meeting (77.41%). These results indicate that the training method using video learning can improve the ability to wash hands for mentally retarded students in the moderate category. From these results it can be seen that the training method with learning videos can improve the ability to wash hands.

Effective deep learning training method using blur and noise filter to detect defection in TFT-LCD PAD

2021 ◽  
Author(s):  
JaeGu Lee ◽  
Yeo Min Yoon ◽  
Seon Geol Kim ◽  
Chang Woo Ha ◽  
Seong Baek Yoon ◽  
...  
Keyword(s):  
Deep Learning ◽  
Training Method ◽  
Noise Filter

scholarly journals Estimating historical forest density from land‐survey data: a response to Baker and Williams (2018)

2019 ◽  
Vol 29 (8) ◽  
Author(s):  
Carrie R. Levine ◽  
Charles V. Cogbill ◽  
Brandon M. Collins ◽  
Andrew J. Larson ◽  
James A. Lutz ◽  
...  
Keyword(s):  
Survey Data ◽  
Forest Density ◽  
Land Survey ◽  
Historical Forest

Prehistoric and early historic settlement in the Ziros region, eastern Crete

1998 ◽  
Vol 93 ◽  
pp. 23-90 ◽  
Author(s):  
Keith Branigan
Keyword(s):  
Bronze Age ◽  
Survey Data ◽  
Final Section ◽  
Fourth Century ◽  
Human Settlement ◽  
Data Manipulation ◽  
The Third ◽  
Third Phase ◽  
Pottery Analysis ◽  
Historic Settlement

The paper presents the results of an intensive survey of two upland basins in eastern Crete. Following a description of the geology and topography of the area, the methods of survey, data manipulation, and pottery analysis are described. There follow catalogues of ceramic type fabrics and other finds. The results of the survey are then presented in three chronological phases (Neolithic, Bronze Age, Graeco-Roman), interpretations are suggested, and a final section provides an overview of the development of human settlement in the region. It is suggested that initial colonisation took place in the Final Neolithic but was short-lived. The basins were only reoccupied during the Protopalatial period, when both nucleated and dispersed settlements were occupied. There is no certain evidence for continued occupation after LM IIIA and the third phase of occupation did not begin until the fourth century BC. Hellenistic and Roman occupation in both nucleated settlements and farmsteads seems to have prospered over a period of eight or nine centuries.

scholarly journals The Prevalence and Distribution of High Salaries in English and Welsh Charities

2017 ◽  
Vol 17 (2) ◽  
pp. 173-191
Author(s):  
John Mohan ◽  
Stephen McKay
Keyword(s):  
Survey Data ◽  
Representative Sample ◽  
Third Sector ◽  
Senior Staff ◽  
Public Discussion ◽  
The Third ◽  
Charity Commission ◽  
The Third Sector

There has recently been public discussion of the rewards available to senior staff in English and Welsh charities. However, that discussion is usually based on examples of individual salaries, or on unrepresentative and small subsets of the charity population. To provide a robust and informed basis for debate, we have conducted analyses of evidence on the payment of high salaries (defined as the numbers of people paid above £60,000 p.a., a reporting threshold used by the Charity Commission) in: (a) a representative sample of c.10,000 English and Welsh charities, and (b) surveys of individuals regarding comparative salary levels in different sectors of the economy. Overall, survey data show that the proportion of staff in receipt of high salaries is lower than average in the third sector than in other sectors. Information from charity annual accounts is used to demonstrate which charities are more likely than others to pay such salaries, and to relate the likelihood of paying high salaries to charity characteristics (income, location and subsector). We show that the distribution of high pay in the charitable sector is largely a function of the size and complexity of organisations, and is generally unrelated to subsector or income mix.

Discussion on the Utilization of Forestry Resource Data to Update Basic Geographic Information Data

2012 ◽  
Vol 472-475 ◽  
pp. 2988-2992
Author(s):  
Li Fang Lai ◽  
Yu Fen Zhang
Keyword(s):  
Survey Data ◽  
Rapid Development ◽  
Geographic Information ◽  
Land Survey ◽  
Novel Method ◽  
Resource Data

Along with the rapid development of economy, strong demand has been put on the application of basic geographic information data which needs timely updating. It has become a subject to be further investigated to make full use of other data (such as forestry resource data, land survey data, etc.) to effectively add new data when the basic geographic information data is updated and ensure the timeliness of basic geographic information data. This paper gives an instance to describe and discuss a novel method, whose purpose is to quickly update basic geographic information data by forestry resource data on MicroStation V8 platform.

Novel Dry-Lab Training Method for Totally Endoscopic Coronary Anastomosis

2017 ◽  
Vol 12 (5) ◽  
pp. 363-369 ◽  
Author(s):  
Kosuke Ujihira ◽  
Akira Yamada
Keyword(s):  
Coronary Artery ◽  
Video Camera ◽  
Training System ◽  
Learning Curves ◽  
Surgical Instruments ◽  
Training Method ◽  
Fourth Stage ◽  
The Third ◽  
Third Stage ◽  
Coronary Anastomosis

Objective We describe our original dry-lab training system for nonrobotic and beating heart endoscopic coronary artery anastomosis. Methods All the materials used for this training were commercially available. We selected a boxed machine, which can produce pulsatile movements of artificial vessels, and on its roof, we installed a two-dimensional home video camera and a monitor. A multiple-holed plate was placed in front of the machine, and through these holes, a trainee inserted endoscopic surgical instruments and anastomosed the artificial vessels by running fashion while watching the monitor. This training program has four stages. During the first stage, a trainee has to demonstrate mastery in conducting a conventional off-pump coronary artery anastomosis without assistance. The second stage is the “nonbeating” version, and the third stage is the “beating” version with the model mentioned previously. After a trainee gets accustomed to the third stage, the original artificial vessel is replaced with an extremely fragile one, and this is the fourth stage. Our trainee conducted one hundred fourth-stage anastomoses and each procedure was recorded with the video camera. We analyzed several factors from the videos and evaluated the efficacy of the training method. We compared the outcomes of the first 50 consecutive anastomoses with the following 50 ones and described the learning curves. Results The comparison showed a significant decrease in anastomotic time and vessel injury. We considered the quality of anastomosis acceptable after 47 anastomoses, and anastomotic time fell below 15 minutes at the 81st training at the fourth stage. Conclusions Our dry-lab system might be an effective training method for endoscopic coronary anastomosis.

scholarly journals Planning the Madiun Fire Outer Ring Railroad Using Autocad Civil 3D

2017 ◽  
Vol 1 (2) ◽  
pp. 81-87
Author(s):  
Adya Aghastya ◽  
Wahyu Tamtomo Adi
Keyword(s):  
Survey Data ◽  
Efficient Solution ◽  
Lower Cost ◽  
Civil Engineering ◽  
Outer Ring ◽  
Master Plan ◽  
Track Width ◽  
Land Survey ◽  
3D Software

Indonesian Railroad Academy Madiun is one of the education UPTs under the Ministry of Transportation which houses the railway sector. To support education in the Madiun API and in accordance with the 2017 Revised Madiun API Master Plan, it is necessary to have additional lines, namely the Madiun API outer ring. Autocad Civil 3D software is very useful in providing an innovative, effective and efficient solution in the process of planning civil engineering specifically for the manufacture of railroad lines so that it is easier, faster and lower cost with the methodology of working on inputting land survey data and carrying out the next alignment design automatically cutting pieces of data transverse, longitudinal, gallian volume and auto fill have been obtained. The planning data that is the speed of the plan used is 30 km / h with a track width of 1,067m. design length of 1234,187m with a slope of 0,0009 or 0.09% below the maximum standard of 10 per ‰, cumulative fill 15584.68 m³ and comulative cut 5719.08 m³.

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