Journal articles: 'Automatic white balance'

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Hu, Yong. "Segmentation-Based Automatic White Balance Algorithm." Applied Mechanics and Materials 333-335 (July 2013): 954–57. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.954.

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Classic automatic white balance algorithm always been invalidity when there are large color-blocks or less of highlights points occurred in cast images. In this literature, an improved automatic adjustment algorithm based on image segmentation is proposed to resolve the problem mentioned above. First, color images were transformed to HSV color space and low saturation area was segmented from S channel. And then, adjustment parameters were calculated by selected points. Experimental results show that the algorithm can effectively correct varied cast image with low computational complexity, and are suitable for various scenarios.

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Guo, Hui Nan, Qing Liu, Lei Yang, Hua Wang, Xiao Dong Zhao, and Long Ren. "Automatic White Balance Algorithm of Airborne Camera." Applied Mechanics and Materials 668-669 (October 2014): 1050–54. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1050.

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Automatic white balance algorithm (AWB) is significant for color temperature restoration of digital imaging system. According to the limitations and disadvantages of existing traditional white balance methods, in this paper a new AWB algorithm for airborne camera is proposed. Using RGB and histogram information divide the input image into different color character regions; according to the color richness level, adopt different white balance algorithms to achieve chromatic aberration adjustment. Experiment results show the effectiveness of the proposed AWB algorithm for airborne camera.

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Hu, Yong. "Automatic White Balance Based on Gaussian Decomposition." Applied Mechanics and Materials 263-266 (December 2012): 2542–46. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2542.

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In this literature, an automatic white balance adjustment algorithm based on Gaussian decomposition is proposed. The improved algorithm is aiming at handling the problem occurred in automatic white balance algorithm, such as lack of correction or high complexity. First, Gaussian distribution of gray level is obtained by using Gaussian decomposition. And then, gain curve of each component in RGB color image are calculated by the parameters. After the coefficient is used for white balance adjustment, a corrected image is finally obtained. Experimental results show that the algorithm can effectively correct the image color cast problems, and are suitable for a variety of different scenarios.

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Yung-Cheng Liu, Wen-Hsin Chan, and Ye-Quang Chen. "Automatic white balance for digital still camera." IEEE Transactions on Consumer Electronics 41, no. 3 (1995): 460–66. http://dx.doi.org/10.1109/30.468045.

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Zhong, Jian, Su-ying Yao, and Jiang-tao Xu. "Implementation of automatic white-balance based on adaptive-luminance." Optoelectronics Letters 5, no. 2 (March 2009): 150–53. http://dx.doi.org/10.1007/s11801-009-8171-2.

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Xu, Li Li, and Bao Xian Jia. "Automatic White Balance Based on Gray World Method and Retinex." Applied Mechanics and Materials 462-463 (November 2013): 837–40. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.837.

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In different illumination, the same scene has different images. These images have different color. While adjust the image color, white balance is a very critical step. In the color adjustment, effective and automatic white balance algorithm can realize the intelligent adjustment of image color and save time. There are two kinds balance methods are Gray world method and Retinex theory. Two methods are commonly used. These have different treatment goals and have different characteristics. And their applications are relate to image attribute. Therefore, the two methods are combined and improve the white balance effect. In this paper, image was processed with gray world method firstly. Using the color constancy of Retinex, we maintain the green channel. We use nonlinear methods to adjust the pixel intensity. Through different parameters, we change the R, G, B channel value and realize the non linear adjustment of image intensity. The experimental results show that the proposed automatic white balance method can effectively avoid image distortion and keep the white balance is better.

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Zhou, Jie, and Keyao Li. "RTL Implementation of White Balance Algorithm Based on ZYNQ." Modern Electronic Technology 3, no. 2 (March 12, 2020): 12. http://dx.doi.org/10.26549/met.v3i2.3080.

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In view of the common automatic white balance algorithm complexity is too high and the characteristics of the hardware to realize real-time. This paper combines gray world model and the advantage of white point detection algorithm, an adaptive control process is used to calculate gain coefficient and to picture the three-component white balance correction. On this basis to realize the automatic white balance based on the zynq RTL implementation of the algorithm. Compared with the traditional method, the cost of hardware is reduced, and the efficiency and flexibility of the algorithm are improved. Experimental results show that the algorithm can run smoothly and realize accurate correction of off-color images.

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Jo, Jieun, Jaehyun Im, Jinbeum Jang, Yoonjong Yoo, and Joonki Paik. "Adaptive White Point Extraction based on Dark Channel Prior for Automatic White Balance." IEIE Transactions on Smart Processing and Computing 5, no. 6 (December 30, 2016): 383–89. http://dx.doi.org/10.5573/ieiespc.2016.5.6.383.

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Bodner, Ben, Yixuan Wang, and Susan Farnand. "Effect of Capture Illumination on Preferred White Point for Camera Automatic White Balance." Electronic Imaging 2016, no. 13 (February 14, 2016): 1–8. http://dx.doi.org/10.2352/issn.2470-1173.2016.13.iqsp-219.

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ShenChuan Tai, YiYing Chang, TseMing Kuo, and TzuWen Liao. "Automatic White Balance Algorithm through the Average Equalization and Threshold." International Journal of Advancements in Computing Technology 5, no. 1 (January 15, 2013): 436–47. http://dx.doi.org/10.4156/ijact.vol5.issue1.48.

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Guo, Hui Nan, and Jian Zhong Cao. "Automatic White Balance of Digital Camera Based on Global Probability Distribution." Advanced Materials Research 433-440 (January 2012): 5443–47. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5443.

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The white balance is an important parameter of digital camera which makes a great impact on the application of digital cameras. However, due to the limitations of hardware of digital camera, the output image of digital camera cannot restore true colors of the objects under the different light sources conditions. And existing automatic white balance (AWB) algorithms have many application restrictions, particularly the single color image, the algorithms always failure to adjust. To solve this problem, this paper proposes an optimized algorithm based on the gray world assumption and HSI color model. According to the R, G and B color components probability distribution, the algorithm adjusts the image by using the difference value of color. Experimental results show that our algorithm can adjust images in complex situations; meanwhile these confirm that this method is not only effective, but also has the advantage of easy realization.

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Dahong Qian, J. Toker, and S. Bencuya. "An automatic light spectrum compensation method for CCD white balance measurement." IEEE Transactions on Consumer Electronics 43, no. 2 (May 1997): 216–20. http://dx.doi.org/10.1109/30.585544.

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Jun-yan Huo, Yi-lin Chang, Jing Wang, and Xiao-xia Wei. "Robust Automatic White Balance Algorithm using Gray Color Points in Images." IEEE Transactions on Consumer Electronics 52, no. 2 (May 2006): 541–46. http://dx.doi.org/10.1109/tce.2006.1649677.

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Tan, Xin, Shiming Lai, Bin Wang, Maojun Zhang, and Zhihui Xiong. "A simple gray-edge automatic white balance method with FPGA implementation." Journal of Real-Time Image Processing 10, no. 2 (January 5, 2013): 207–17. http://dx.doi.org/10.1007/s11554-012-0318-x.

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Hsu, Wei-Yen, and Han-Chang Cheng. "A Novel Automatic White Balance Method for Color Constancy Under Different Color Temperatures." IEEE Access 9 (2021): 111925–37. http://dx.doi.org/10.1109/access.2021.3103737.

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Antoniuk, Izabella, Artur Krupa, and Radosław Roszczyk. "Normal Patch Retinex robust algorithm for white balancing in digital microscopy." Machine Graphics and Vision 29, no. 1/4 (December 1, 2020): 79–94. http://dx.doi.org/10.22630/mgv.2020.29.1.5.

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The acquisition of accurately coloured, balanced images in an optical microscope can be a challenge even for experienced microscope operators. This article presents an entirely automatic mechanism for balancing the white level that allows the correction of the microscopic colour images adequately. The results of the algorithm have been confirmed experimentally on a set of two hundred microscopic images. The images contained scans of three microscopic specimens commonly used in pathomorphology. Also, the results achieved were compared with other commonly used white balance algorithms in digital photography. The algorithm applied in this work is more effective than the classical algorithms used in colour photography for microscopic images stained with hematoxylin-phloxine-saffron and for immunohistochemical staining images.

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Chen, Cheng-Lun, and Shao-Hua Lin. "Intelligent color temperature estimation using fuzzy neural network with application to automatic white balance." Expert Systems with Applications 38, no. 6 (June 2011): 7718–28. http://dx.doi.org/10.1016/j.eswa.2010.12.137.

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Huang, Chengqiang, Qi Zhang, Hui Wang, and Songlin Feng. "A Low Power and Low Complexity Automatic White Balance Algorithm for AMOLED Driving Using Histogram Matching." Journal of Display Technology 11, no. 1 (January 2015): 53–59. http://dx.doi.org/10.1109/jdt.2014.2360375.

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Chen, Huang, Chengqiang Huang, Li Tian, Yongxin Zhu, Hui Wang, and Songlin Feng. "A low complexity automatic white balance algorithm for AMOLED hardware driving using histogram shifting with compensation." Australian Journal of Electrical and Electronics Engineering 15, no. 4 (October 2, 2018): 152–59. http://dx.doi.org/10.1080/1448837x.2018.1534304.

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Chen, Cheng-Lun, and Shao-Hua Lin. "Formulating and solving a class of optimization problems for high-performance gray world automatic white balance." Applied Soft Computing 11, no. 1 (January 2011): 523–33. http://dx.doi.org/10.1016/j.asoc.2009.12.012.

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Huang, Ho-Chi, Hon-Yuan Leo, and Chia-Cheng Lai. "71.2: An Integrated Photo Sensor Array on Liquid-Crystal-On-Silicon (LCOS) Microdisplay for Automatic White Balance." SID Symposium Digest of Technical Papers 41, no. 1 (2010): 1061. http://dx.doi.org/10.1889/1.3499834.

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Chang, Wen-Yang, and Chih-Ping Tsai. "Illumination characteristics and image stitching for automatic inspection of bicycle part." Assembly Automation 34, no. 4 (September 9, 2014): 342–48. http://dx.doi.org/10.1108/aa-09-2013-076.

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Purpose – This study aims to investigate the spectral illumination characteristics and geometric features of bicycle parts and proposes an image stitching method for their automatic visual inspection. Design/methodology/approach – The unrealistic color casts of feature inspection is removed using white balance for global adjustment. The scale-invariant feature transforms (SIFT) is used to extract and detect the image features of image stitching. The Hough transform is used to detect the parameters of a circle for roundness of bicycle parts. Findings – Results showed that maximum errors of 0°, 10°, 20°, 30°, 40° and 50° for the spectral illumination of white light light-emitting diode arrays with differential shift displacements are 4.4, 4.2, 7.8, 6.8, 8.1 and 3.5 per cent, respectively. The deviation error of image stitching for the stem accessory in x and y coordinates are 2 pixels. The SIFT and RANSAC enable to transform the stem image into local feature coordinates that are invariant to the illumination change. Originality/value – This study can be applied to many fields of modern industrial manufacturing and provide useful information for automatic inspection and image stitching.

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Taufik, Muhammad Rizal. "Design of Robot Follower Line based on Labview Using Proportional Integral Derivative (PID)." Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan 3, no. 2 (July 22, 2015): 1–12. http://dx.doi.org/10.34010/telekontran.v3i2.1874.

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Abstract - Line follower is one of the automatic robots that can. The line follower robot uses line sensors as input readers to move the robot, the sensor reads the black line and the white track base. This research aims to be implemented in the State actually, her example robot introduction to food at a restaurant. On line follower robot using 3 pieces of infrared sensors, which serve as a reading of the black lines, 2 motor, which functions as an actuator, 1 piece motor driver L298 who serves as controller and motor, 1 piece Arduino Uno that serves as a processing system of line follower. After doing the research and testing of these systems can work well. The success rate of this system reaches 90%. From a level of success that reaches 90%, there is still a shortage of system on the performance of the sensor, because the light on in the received sensor in each room is different, so the sensor must be calibrated first. It needs a system of control to adjust the balance of the line follower robot, so that it can move with the steady and able to cope with disruptions given as the control balance control used Proportional Integral Derivative (PID) using application Labview. Can be simpulakan that the system can be implemented on actual circumstances.

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Berrada, Faouzi, Saad Bennis, and Luc Gagnon. "Validation des données hydrométriques par des techniques univariées de filtrage." Canadian Journal of Civil Engineering 23, no. 4 (August 1, 1996): 872–92. http://dx.doi.org/10.1139/l96-895.

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This study aims at validating the historical hydrological data. For the purpose of clarity, the paper has been divided into two parts. The first part, a theoretical one, presents a very broad range of filtering techniques that goes from the simple filter, using the median or the moving average, to the Fraser smoother coupled with the Kalman one. A chronological series simulated and then artificially affected by noise effects, simultaneously with white noise and a certain number of high-amplitude perturbations, was conceived. Its use should allow to reach conclusions regarding the validity and performance of the different filters. The second part, a practical one, uses several actual historical series relative to measures of the water level in a reservoir, the natural inflow, and inlet and outlet flows. Its essential objective is to validate the natural inflow data (calculated by hydric balance). A general chart of the procedure employed to carry out this validation is thus presented. The results obtained are then compared. All the techniques are used so as to make the validation automatic. This resulted in creating a very general application software called Valideb. It allows the user to analyze and judge the results of a filtering method and its effect on each component of the hydric balance. Key words: validation, filtering, smoothing, natural inflow, water level, flow, covariance, noise, Kalman, Fraser. [Journal translation]

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Calderon-Garciduenas, Eva D., Sergio A. Sanchez-Guerrero, Javier Fernandez-Torres, Miriam Millan-Rocha, Antonio Marin-Lopez, Leopoldo Valiente-Banuet, and Monica Perez-Huizar. "Bayesian Multilevel Evaluation of Stem Cell Cryopreservation at the First National Umbilical Cord Blood Bank from the Public Health Sector in Mexico." Blood 104, no. 11 (November 16, 2004): 5006. http://dx.doi.org/10.1182/blood.v104.11.5006.5006.

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Abstract Introduction. The umbilical cord stem cell bank was created in Mexico City in june 2003 due to the need to have access to pluripotential stem cells to cover the hematological and immunological pediatric needs. We have so far 300 units of umbilical stem cells available to the medical community. The bank has been designed with a completely automatic process and the standards are based in NETCORD-FAHCT outlines. Objective. In the present study we made a balance of the evaluation of umbilical cord stem cell process including the maternal setting, the standarization of the methodology to obtain the stem cells, compared to other institutions around the world. Material and methods. Bayesian analysis allow us to evaluate our procedures at the different levels. Bayesian networks are directed acyclic graphs (DAGs) where the nodes are random variables and certain independence assumptions hold. Results. In table 1 we show the results of the first 300 units process with the automatic process. The arcs in a bayesian network specify the independence assumptions that must hold between the random variables and the global dependence of the total factors. Figure 1. Conclusion. Through the bayesian analysis, we found a direct influence of the collected volume, the time between the collection and the procedure, and the maternal unit, with respect to the number of recovered cells, specifically with CD34+ the viable ones as well as the totals. Figure 1. Bayesian Analysis between neonatal and process factors. Weight baby (PRN); sex (SRN); cord blood unit collected volume (ml); initial white cell (GBTI); total final white cell(GBTF); % total CD34+ ( PCD34T); % viable CD34+ (PCD34V); total CD43+ (CD34T); viable CD34+ (CD34VA); ginecology unit (UH); time hour (TH). Figure 1. Bayesian Analysis between neonatal and process factors. Weight baby (PRN); sex (SRN); cord blood unit collected volume (ml); initial white cell (GBTI); total final white cell(GBTF); % total CD34+ ( PCD34T); % viable CD34+ (PCD34V); total CD43+ (CD34T); viable CD34+ (CD34VA); ginecology unit (UH); time hour (TH). Results of the first 300 units process with these technology Initial nuclear cells/ml Collectionvolume Initial total nuclear cells % CD 34total Viable% CD 34 Recovery% Average 11.4 x 106/ml 102.8 ml 12.2 x108 0.32 0.31 80 Acceptance criterion 7–20 x 106 > 75 ml >8 x 108 0.1– 0.3 0.1– 0.3 >60%

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Ravi Teja Maddula, Abby Abraham, and Dhanraj Ganapathy. "Awareness of intraoral photography among dental students." International Journal of Research in Pharmaceutical Sciences 11, SPL3 (October 7, 2020): 1036–39. http://dx.doi.org/10.26452/ijrps.v11ispl3.3330.

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Precise shade matching is one of the most testing parts of dental restorations and stylish dentistry. Because of the incredible assortment of regular tooth shading accomplishing a nearby shade match of a fake rebuilding with normal dentition is a mind-boggling process. Photography has been utilized for a long time trying to improve correspondence among dental specialists and dental professionals. The aim of the study was to evaluate the awareness of intra oral photography among dental graduates. This was a questionnaire based cross-sectional type of study comprising 100 dental college students in Chennai. A self-designed questionnaire contains 10 questions based on the knowledge, awareness on intra oral photography among dental college students. Questionnaires were circulated through an online website survey planet. After the responses were received from 100 participants, data were collected and analysed.76% of dental graduates stated the intraoral photographs were taken in automatic mode and only 24% of dental graduates set the camera in manual mode to capture the intraoral image. 97% of Dental graduates use the grey card as the contrast to the subject taken, and 98% of dental graduates are unaware about the use of white balance in-camera setting, and 1% of dental graduates are only aware of the 18% grey card and the use of grey card to pre-set the white balance. 100% of the people recommend the intraoral photography courses included in the dental course. 33% of the graduates have attended the photography courses to learn the technique to capture the intraoral photographs. The awareness of intraoral photography among dental students is moderately adequate. More than 30 of the graduates have attended the photography courses to learn the technique to capture the intraoral photographs. The documentation of the clinical cases is being encouraged in dental schools, but the proper training for the intraoral photographs is not being met. 100% of graduates recommend the photography courses be included in the dental curriculum.

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Azam, Bakht, Sami Ur Rahman, Muhammad Irfan, Muhammad Awais, Osama Mohammed Alshehri, Ahmed Saif, Mohammed Hassan Nahari, and Mater H. Mahnashi. "A Reliable Auto-Robust Analysis of Blood Smear Images for Classification of Microcytic Hypochromic Anemia Using Gray Level Matrices and Gabor Feature Bank." Entropy 22, no. 9 (September 17, 2020): 1040. http://dx.doi.org/10.3390/e22091040.

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Accurate blood smear quantification with various blood cell samples is of great clinical importance. The conventional manual process of blood smear quantification is quite time consuming and is prone to errors. Therefore, this paper presents automatic detection of the most frequently occurring condition in human blood—microcytic hyperchromic anemia—which is the cause of various life-threatening diseases. This task has been done with segmentation of blood contents, i.e., Red Blood Cells (RBCs), White Blood Cells (WBCs), and platelets, in the first step. Then, the most influential features like geometric shape descriptors, Gray Level Co-occurrence Matrix (GLCM), Gray Level Run Length Matrix (GLRLM), and Gabor features (mean squared energy and mean amplitude) are extracted from each of the RBCs. To discriminate the cells as hypochromic microcytes among other RBC classes, scanning is done at angles (0∘, 45∘, 90∘, and 135∘). To achieve high-level accuracy, Adaptive Synthetic (AdaSyn) sampling for imbalance learning is used to balance the datasets and locality sensitive discriminant analysis (LSDA) technique is used for feature reduction. Finally, upon using these features, classification of blood cells is done using the multilayer perceptual model and random forest learning algorithms. Performance in terms of accuracy was 96%, which is better than the performance of existing techniques. The final outcome of this work may be useful in the efforts to produce a cost-effective screening scheme that could make inexpensive screening for blood smear analysis available globally, thus providing early detection of these diseases.

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Yu, Ta-Chuan, Wen-Chien Chou, Chao-Yuan Yeh, Cheng-Kun Yang, Sheng-Chuan Huang, Feng Ming Tien, Chi-Yuan Yao, et al. "Automatic Bone Marrow Cell Identification and Classification By Deep Neural Network." Blood 134, Supplement_1 (November 13, 2019): 2084. http://dx.doi.org/10.1182/blood-2019-125322.

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Purpose Differential counting of blood cells is the basis of diagnostic hematology. In many circumstances, identification of cells in bone marrow smears is the golden standard for diagnosis. Presently, methods for automatic differential counting of peripheral blood are readily available commercially. However, morphological assessment and differential counting of bone marrow smears are still performed manually. This procedure is tedious, time-consuming and laden with high inter-operator variation. In recent years, deep neural networks have proven useful in many medical image recognition tasks, such as diagnosis of diabetic retinopathy, and detection of cancer metastasis in lymph nodes. However, there has been no published work on using deep neural networks for complete differential counting of entire bone marrow smear. In this work, we present the results of using deep convolutional neural network for automatic differential counting of bone marrow nucleated cells. Materials & Methods The bone marrow smears from patients with either benign or malignant disorders in National Taiwan University Hospital were recruited in this study. The bone marrow smears are stained with Liu's stain, a modified Romanowsky stain. Digital images of the bone marrow smears were taken using 1000x oil immersion lens and 20MP color CCD camera on a single microscope with standard illumination and white-balance settings. The contour of each nucleated cell was artificially defined. These cells were then divided into a training/validation set and a test set. Each cell was then classified into 1 of the 11 categories (blast, promyelocyte, neutrophilic myelocyte, neutrophilic metamyelocyte, neutrophils, eosinophils and precursors, basophil, monocyte and precursors, lymphocyte, erythroid lineage cells, and invalid cell). In training/validation set, the classification of each cell was annotated once by experienced medical technician or hematologist. The annotated dataset was used to train a Path-Aggregation Network for instance segmentation task. In test set, cell classification was annotated by three medical technicians or hematologists; only over 2/3 consensus was regarded as valid. After the neural network model was fully trained, the ability of the model to classify and detect bone marrow nucleated cells was evaluated in terms of precision, recall and accuracy. During the model training, we used group normalization and stochastic gradient descent optimizer for training. Random noise, Gaussian blur, rotation, contrast and color shift were also used as means for data augmentation. Results The digital images of 150 bone marrow aspirate smears were taken for this study. They included 61 for acute leukemia, 39 for lymphoma, 2 for myelodysplastic syndrome (MDS), 2 for myeloproliferative neoplasm (MPN), 10 for MDS/MPN, 12 for multiple myeloma, 4 for hemolytic anemia, 9 for aplastic anemia, 8 for infectious etiology and 3 for solid cancers. The final data contained 5927 images and 187730 nucleated bone marrow cells, which were divided into 2 sets: 5630 images containing 170966 cells as the training/validation set, and 297 images containing 16764 cells as the test set. Among the 16764 cells annotated in test set, 15676 cells (93.6 %) reached over 2/3 consensus. The trained neural network achieved 0.832 recall and 0.736 precision for cell detection task, 0.79 mean intersection over union (IOU) for cell segmentation task, mean average precision of 0.659 and accuracy of 0.801 for cell classification. For individual cell categories, the model performs the best with "erythroid-lineage-cells" (0.971 recall, 0.935 precision) and the worst with "monocyte-and-precursors" (0.825 recall, 0.337 precision). Conclusions We have created the largest and the most comprehensive annotated bone marrow smear image dataset for deep neural network training. Compared with previous works, our approach is more practical for clinical application because it is able to take in an entire field of smear and generate differential counts without any other preprocessing steps. Current results are highly encouraging. With continued expansion of dataset, our model would be more precise and clinically useful. Figure Disclosures Yeh: aether AI: Other: CEO and co-founder. Yang:aether AI: Employment. Tien:Novartis: Honoraria; Daiichi Sankyo: Honoraria; Celgene: Research Funding; Roche: Honoraria; Johnson &Johnson: Honoraria; Alexion: Honoraria; BMS: Honoraria; Roche: Research Funding; Celgene: Honoraria; Pfizer: Honoraria; Abbvie: Honoraria. Hsu:aether AI: Employment.

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Zhang, Xiao Long, Ya Bin Dong, Yu Min He, and Mei Juan Tong. "Forced Vibration of Rotor Suppressed by a Automatic Ball Balancer (Nonlinear Principal Resonances)." Advanced Materials Research 655-657 (January 2013): 551–57. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.551.

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The automatic ball balancer is equipment used to balance the rotor system online and control its forced vibration. Although the rotor system is a nonlinear system actually, especially the occurrence of the nonlinear elastic restoring force in the support of rolling elements bearings, many researches still focus on the linear rotor systems at present. The Jeffcott rotor acted by unsymmetrical nonlinear restoring force is studied in this paper. Through the resolving theoretically and simulating numerically, the principal resonance respond of the rotor system controlled by the balancer with two balls and its stability are studied, while the vibration characteristics and movement laws of the rotor and balls in every rotary speed region are analyzed. The results showed that the balancer can suppress the principal vibration of the nonlinear rotor system in high speed region very well.

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Millán, Sandra, Carlos Campillo, Jaume Casadesús, Juan Manuel Pérez-Rodríguez, and Maria Henar Prieto. "Automatic Irrigation Scheduling on a Hedgerow Olive Orchard Using an Algorithm of Water Balance Readjusted with Soil Moisture Sensors." Sensors 20, no. 9 (April 29, 2020): 2526. http://dx.doi.org/10.3390/s20092526.

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Recent technological advances have made possible automated irrigation scheduling using decision-support tools. These tools help farmers to make better decisions in the management of their irrigation system, thus increasing yields while preserving water resources. The aim of this study is to evaluate in a commercial plot an automated irrigation system combined with remote-sensing techniques and soil mapping that allows the establishment of regulated deficit irrigation (RDI) strategies. The study was carried out over 3 years (2015–2017) in a commercial hedgerow olive orchard of the variety ‘Arbequina’ located in Alvarado (Extremadura, Spain). An apparent electrical conductivity (ECa) map and a normalized difference vegetation index (NDVI) map were generated to characterize the spatial variability of the plot and classify the zones in homogeneous areas. Then, reference points were selected to monitor the different irrigation sectors. In 2015, the plot was irrigated according to the farmer’s technical criteria throughout the plot. In 2016 and 2017, two different areas of the plot were irrigated applying an RDI strategy, one under expert supervision and the other automatically. The results show that in a heterogeneous plot the use of new technologies can be useful to establish the ideal location for an automatic irrigation system. Furthermore, automatic irrigation scheduling made it possible to establish an RDI strategy recommended by an expert, resulting in the homogenization of production throughout the plot without the need for human intervention.

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Millán, Casadesús, Campillo, José Moñino, and Henar Prieto. "Using Soil Moisture Sensors for Automated Irrigation Scheduling in a Plum Crop." Water 11, no. 10 (October 2, 2019): 2061. http://dx.doi.org/10.3390/w11102061.

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The growing scarcity and competition for water resources requires the urgent implementation of measures to ensure their rational use. Farmers need affordable irrigation tools that allow them to take advantage of scientific know-how to improve water use efficiency in their common irrigation practices. The aim of this study is to test under field conditions, and adjust where required, an automated irrigation system that allows the establishment of regulated deficit irrigation (RDI) strategies in a stone fruit orchard. For this, an automated device with an algorithm which combines water-balance-based irrigation scheduling with a feedback adjustment mechanism using 15 capacitive sensors for continuous soil moisture measurement was used. The tests were carried out in 2016 and 2017 in Vegas Bajas del Guadiana (Extremadura, Spain) on an experimental plot of ‘Red Beaut’, an early-maturing Japanese plum cultivar. Three irrigation treatments were established: control, RDI and automatic. The control treatment was scheduled to cover crop water needs, a postharvest deficit irrigation (40% crop evapotranspiration (ETc)) strategy was applied in the RDI treatment, while the Automatic treatment simulated the RDI but without human intervention. After two years of testing, the automated system was able to “simulate” the irrigation scheduling programmed by a human expert without the need for human intervention.

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Chen, Li Qiang. "Research of Sheet-Fed Offset Damping System Green Printing Technology." Advanced Materials Research 380 (November 2011): 306–10. http://dx.doi.org/10.4028/www.scientific.net/amr.380.306.

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Lithographic printing press must maintain a stable standard printing environment; we need to maintain the ink-water balance for achieve stability print quality. Not only stable for ink supply, but also stable supply of dampening solution from dampening circulation system. The study tries to conduct less proportion of alcohol to reduce emissions of volatile IPA, using green printing technology in the standard production. This study analyzed a variety of automatic sheet-fed offset press dampening system to study how to control the tank fluid additives, and reduce alcohol consumption. Design standard operation of "automatic green formula system“, the system should contain four main functions: purity water systems, precise formulation systems, circulated filtration system and computer numerical control system. Its purpose: to make the operation under the automated water quality standards, make stable print quality and increase printing capacity, increase product yield, reduce pollution. The water dampening system makes the quality and stability while reducing pollution emissions.

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Popescu, Florin Dumitru, Andrei Andraş, and Ildiko Kertesz (Brînaş). "Balance survey / analysis of vertical transport installations using the Nyquist stability criterion." ITM Web of Conferences 29 (2019): 01013. http://dx.doi.org/10.1051/itmconf/20192901013.

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Operation of vertical transport installations is based on adjustable electrical drive systems which must ensure the technical conditions regarding the variation in time of the speed, the current of the main motors and the accelerations at start and brake phases. Electric drives are part of the fast process of automation equipment. In the case of a vertical transport installation, speed is the characteristic which has to be controlled in command phase, while the dependent factor is the tachograph. The adjustment determines the dependence of the quantity in the process – based on a default law - with respect to the independent quantities and also to the process dependents, thus reducing the influence of the perturbations to the process. There are different ways to define the stability of an automatic system. The balance survey / analysis also approaches the determination of the functions of variation in time of the main actuation motor current and speed (main motor rpm), at the moments of starting the vertical transport installation, and the study of the variation in time of the speed in the case of a load shock. To perform calculations needed for stability assessment and draw all the diagrams a Turbo C 2.0 program was written by the authors.

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Shaikh, Yasmeen, Vasudev Parvati, and Sangappa Ramachandra Biradar. "Early disease prediction algorithm for hypertension-based diseases using data aware algorithms." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (August 1, 2022): 1100. http://dx.doi.org/10.11591/ijeecs.v27.i2.pp1100-1108.

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This paper <span lang="EN-US">implements a data aware early prediction of hypertension-based diseases. Automated data preprocessing method that adopts for both balanced and unbalanced data is the data aware method included in the disease classification algorithm. Proposed data aware data preprocessing method is evaluated on the ensemble learning based classification algorithm for early disease prediction. Data aware preprocessing method adopts isolation forest algorithm for outlier detection as part of the automation. Automated sampling method of applying the sampling corresponding to either balanced or unbalanced data is adopted. Performance evaluation of the proposed data aware algorithm using isolation forest algorithm for anomaly detection is experimented. Python based implementation of the proposed data aware classification algorithm inferred a better area under the curve (AUC) receiver operating characteristics (ROC) curve for isolation forest implementation in data preprocessing automation thus developed. While the individual classifiers multilayer perceptron classifier approached till 0.918 (AUC) in the ROC-AUC curve. The ensemble learning algorithm that included multilayer perceptron classifier, logistic regression classifier, support vector classifier and decision tree algorithm with the isolation forest-based anomaly detection algorithm performed better than the individual machine learning algorithm with 0.922 (AUC) in the ROC-AUC curve.</span>

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Coruh, C. "Stretched automatic amplitude adjustment of seismic data." GEOPHYSICS 50, no. 2 (February 1985): 252–56. http://dx.doi.org/10.1190/1.1441915.

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The effectiveness of automatic amplitude adjustment before Vibroseis® correlation (Coruh and Costain, 1983) to whiten seismic data leads to this paper which presents a general method based on automatic amplitude adjustment after stretching ordinary seismic data. The central feature of this method is the ability to separate spectral components of data in time and then to balance separated spectral components for whitening before data are compressed back. The method whitens data in a time‐variant fashion and is called stretched automatic amplitude adjustment or stretched automatic gain control (SAGC).

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Sipari, Dario, Betsy D. M. Chaparro-Rico, and Daniele Cafolla. "SANE (Easy Gait Analysis System): Towards an AI-Assisted Automatic Gait-Analysis." International Journal of Environmental Research and Public Health 19, no. 16 (August 14, 2022): 10032. http://dx.doi.org/10.3390/ijerph191610032.

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The gait cycle of humans may be influenced by a range of variables, including neurological, orthopedic, and pathological conditions. Thus, gait analysis has a broad variety of applications, including the diagnosis of neurological disorders, the study of disease development, the assessment of the efficacy of a treatment, postural correction, and the evaluation and enhancement of sport performances. While the introduction of new technologies has resulted in substantial advancements, these systems continue to struggle to achieve a right balance between cost, analytical accuracy, speed, and convenience. The target is to provide low-cost support to those with motor impairments in order to improve their quality of life. The article provides a novel automated approach for motion characterization that makes use of artificial intelligence to perform real-time analysis, complete automation, and non-invasive, markerless analysis. This automated procedure enables rapid diagnosis and prevents human mistakes. The gait metrics obtained by the two motion tracking systems were compared to show the effectiveness of the proposed methodology.

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Acemoglu, Daron, and Pascual Restrepo. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment." American Economic Review 108, no. 6 (June 1, 2018): 1488–542. http://dx.doi.org/10.1257/aer.20160696.

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We examine the concerns that new technologies will render labor redundant in a framework in which tasks previously performed by labor can be automated and new versions of existing tasks, in which labor has a comparative advantage, can be created. In a static version where capital is fixed and technology is exogenous, automation reduces employment and the labor share, and may even reduce wages, while the creation of new tasks has the opposite effects. Our full model endogenizes capital accumulation and the direction of research toward automation and the creation of new tasks. If the long-run rental rate of capital relative to the wage is sufficiently low, the long-run equilibrium involves automation of all tasks. Otherwise, there exists a stable balanced growth path in which the two types of innovations go hand-in-hand. Stability is a consequence of the fact that automation reduces the cost of producing using labor, and thus discourages further automation and encourages the creation of new tasks. In an extension with heterogeneous skills, we show that inequality increases during transitions driven both by faster automation and the introduction of new tasks, and characterize the conditions under which inequality stabilizes in the long run. (JEL D63, E22, E23, E24, J24, O33, O41)

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Shields, Samuel, Ross Mawhorter, Edward Melcer, and Michael Mateas. "Searching for Balanced 2D Brawler Games: Successes and Failures of Automated Evaluation." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 18, no. 1 (October 11, 2022): 189–98. http://dx.doi.org/10.1609/aiide.v18i1.21963.

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Automated game design (AGD) research focuses on creating systems that can design entirely new games. This is often done by a genetic algorithm, with a fitness function that is used to find individual games that satisfy certain design criteria. However, it is difficult to tell if generated games actually have the desired emergent properties (such as balance), since the fitness function might not align well with human aesthetic judgments about such properties. This is particularly problematic when trying to automatically design balanced, fair, yet asymmetrical games for multiple players. In this paper we present an implementation of an optimization-based AGD system for brawler games, and present findings from a preliminary user study of generated games. We show that while the system successfully optimizes for our written fitness function during human play, we found that this optimization did not necessarily translate to our hypothesized human experience of the game.

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Muslim, Husam, and Makoto Itoh. "Human Factor Issues Associated with Lane Change Collision Avoidance Systems: Effects of Authority, Control, and Ability on Drivers’ Performance and Situation Awareness." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1634–38. http://dx.doi.org/10.1177/1541931213601894.

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In order to improve road traffic safety, increasingly sophisticated and robust collision avoidance systems are being developed. When employed in safety-critical situations, however, the interaction between the human factors and these systems may increase the complexity of the task of driving. Due to these human factors, the ability of the driver to respond to various traffic dangers is considered to be a function of the level of automation, balance of control authority, and the innate ability of the driver. For the purpose of this study, a driving experiment was designed using two types of lane change collision avoidance systems. One was a haptic warning system that provides a steering force feedback to avoid hazardous lane change, and the other, a semi-autonomous system that provides an automatic action to prevent hazardous lane change. While drivers had the final authority over the haptic system, they were unable to override the automatic action. Both systems were examined in three conditions: i) hazard that can be detected only by the system, ii) hazard that can be detected only by the driver, and iii) combined hazards. The different support systems were applied to the different hazards resulting in significant differences in drivers’ reaction time and steering behavior. The drivers’ subjective post-hazard assessments were significantly affected by the type of encountered hazard.

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Kong, Yan Jie, Jin Sheng Zhang, Bo Huang, and Zhi Wang. "Planning and Simulation Study of Stone Countertop Automatic Production Line." Advanced Materials Research 500 (April 2012): 423–28. http://dx.doi.org/10.4028/www.scientific.net/amr.500.423.

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Current stone countertop production process is worn the following problems: long handling distance, long handling time, loose process cohesion, low balance rate, etc. In order to solve these problems, an automatic production line is proposed. In the production line, roller conveyer is used as the logistic system. The selected CNC equipment adopts an open structure and an oblique base. The equipments are arranged into a U-shape line combined with unit layout. In order to increase the flexibility of the production line, the whole production line is divided into two level modules. According to the design rules of the automatic production line, two examples are planned and are simulated based on EM-Plant. The simulation results show that, compared with the current production process, the automatic production line has the following advantages: the transit distance is shortened more than half, the transit time is reduced to about 1/7, and the balance rate increases by 20%, the output is nearly doubled, while the number of workers does not increase.

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Heer, Jeffrey. "Agency plus automation: Designing artificial intelligence into interactive systems." Proceedings of the National Academy of Sciences 116, no. 6 (February 4, 2019): 1844–50. http://dx.doi.org/10.1073/pnas.1807184115.

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Much contemporary rhetoric regards the prospects and pitfalls of using artificial intelligence techniques to automate an increasing range of tasks, especially those once considered the purview of people alone. These accounts are often wildly optimistic, understating outstanding challenges while turning a blind eye to the human labor that undergirds and sustains ostensibly “automated” services. This long-standing focus on purely automated methods unnecessarily cedes a promising design space: one in which computational assistance augments and enriches, rather than replaces, people’s intellectual work. This tension between human agency and machine automation poses vital challenges for design and engineering. In this work, we consider the design of systems that enable rich, adaptive interaction between people and algorithms. We seek to balance the often-complementary strengths and weaknesses of each, while promoting human control and skillful action. We share case studies of interactive systems we have developed in three arenas—data wrangling, exploratory analysis, and natural language translation—that integrate proactive computational support into interactive systems. To improve outcomes and support learning by both people and machines, we describe the use of shared representations of tasks augmented with predictive models of human capabilities and actions. We conclude with a discussion of future prospects and scientific frontiers for intelligence augmentation research.

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Drapkin, I. M. "The Influence of Taxes on Inflows and Outflows of Foreign Direct Investment." Journal of Tax Reform 6, no. 3 (2020): 244–55. http://dx.doi.org/10.15826/jtr.2020.6.3.084.

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Macroeconomic management of a small open economy in a currency board arrangement faces two serious problems: first, under a fixed exchange rate, fiscal policy is the only effective macroeconomic instrument for smoothing out the business cycle; second, the twin deficits phenomenon, if it exists, may jeopardize the stability of the currency board arrangement. This paper uses quarterly seasonally adjusted Eurostat data for the period of 1999–2019, the Hodrick–Prescott filter and a vector autoregression (VAR) to answer the three questions that are of utmost importance to Bulgarian policy-makers: first, is the discretionary fiscal policy of the Bulgarian government procyclical or countercyclical? Second, do the automatic stabilizers in the Bulgarian state budget function properly? Finally, is the twin deficits hypothesis valid for Bulgaria? Our findings imply that the fiscal discretion of the Bulgarian government is procyclical, while the automatic fiscal stabilizers do not work effectively. The first part of the twin deficits hypothesis (the causal link between the fiscal balance and the current account balance) is confirmed but the second part of the twin deficits hypothesis (the positive relationship between the fiscal balance and the current account balance) is rejected for Bulgaria. It may be inferred that both sides of the Bulgarian state budget (revenue and expenditure) need to be improved in order to increase the effectiveness of Bulgaria’s fiscal policy. Low budget deficits (not higher than 3% of GDP) are recommended for improving the current account balance and encouraging economic growth.

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Todorov, I., and K. Durova. "The Fiscal Policy of Bulgaria from the Standpoints of the Business Cycle and the Twin Deficits Hypothesis." Journal of Tax Reform 6, no. 3 (2020): 256–69. http://dx.doi.org/10.15826/jtr.2020.6.3.085.

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Macroeconomic management of a small open economy in a currency board arrangement faces two serious problems: first, under a fixed exchange rate, fiscal policy is the only effective macroeconomic instrument for smoothing out the business cycle; second, the twin deficits phenomenon, if it exists, may jeopardize the stability of the currency board arrangement. This paper uses quarterly seasonally adjusted Eurostat data for the period of 1999–2019, the Hodrick–Prescott filter and a vector autoregression (VAR) to answer the three questions that are of utmost importance to Bulgarian policy-makers: first, is the discretionary fiscal policy of the Bulgarian government procyclical or countercyclical? Second, do the automatic stabilizers in the Bulgarian state budget function properly? Finally, is the twin deficits hypothesis valid for Bulgaria? Our findings imply that the fiscal discretion of the Bulgarian government is procyclical, while the automatic fiscal stabilizers do not work effectively. The first part of the twin deficits hypothesis (the causal link between the fiscal balance and the current account balance) is confirmed but the second part of the twin deficits hypothesis (the positive relationship between the fiscal balance and the current account balance) is rejected for Bulgaria. It may be inferred that both sides of the Bulgarian state budget (revenue and expenditure) need to be improved in order to increase the effectiveness of Bulgaria’s fiscal policy. Low budget deficits (not higher than 3% of GDP) are recommended for improving the current account balance and encouraging economic growth.

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Gikopoulos, John. "Alongside, not against: balancing man with machine in the HR function." Strategic HR Review 18, no. 2 (April 8, 2019): 56–61. http://dx.doi.org/10.1108/shr-12-2018-0103.

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Purpose In a world of mass technological advancement in our daily lives and in business, the HR function is facing an uphill battle. How can HR professionals ensure they are digitally transforming at the right pace for their business without losing the all-important human touch? Design/methodology/approach This paper outlines the thinking behind integrating artificial intelligence (AI) and automation technologies into HR, and it explores in depth each of the key ways in which we are beginning to see these technologies change HR as we know it. From operations to recruitment and interviewing, to on-boarding employees and maintaining performance, the opportunities are numerous – and they are right on the horizon. Findings AI and automation are already being integrated into HR in many organisations around the world. However, we can in the near future expect to see technology not only automating back-office functions, but increasingly taking on the more “human” elements of HR roles. There is a fine balance between man and machine, and while these technologies will increase efficiency, decrease bias and improve the value of HR in businesses, the human touch will always be the key to success. Originality/value This paper assesses not only how technology is impacting HR but also the interplay between man and machine, and it offers insights into how HR professionals can balance the need for digital transformation with the core human element of human resources. As such, it ties the human and the technology together inextricably, concluding that AI and humans work better together.

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Ba Zuhair, Mohammed. "BALANCING AN AIRCRAFT WITH SYMMETRICALLY DEFLECTED SPLIT ELEVATOR AND RUDDER DURING SHORT LANDING RUN." Aviation 23, no. 1 (May 23, 2019): 23–30. http://dx.doi.org/10.3846/aviation.2019.10301.

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This article investigates methods for balancing aircraft during short straight-line landing run realized by employing split rudder and elevator as air-brakes after touchdown. For standard atmospheric and runway conditions, directional and longitudinal balance equations for aircraft of conventional configuration such as Il-86 are presented. Methods depend on operational and mechanical approaches, where the first requires manual or automatic trim of shortly peaking small pitching, yawing, and rolling moments using dynamic forces while the second suggest some re-design of elevator and rudder control channels to limit deflection angles. The paper describes in detail each method disadvantages and suggests the adoption of automatic operational approach due to less required system modifications and piloting skills.

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Ferilli, Stefano. "Automatic Multilingual Stopwords Identification from Very Small Corpora." Electronics 10, no. 17 (September 5, 2021): 2169. http://dx.doi.org/10.3390/electronics10172169.

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Tools for Natural Language Processing work using linguistic resources, that are language-specific. The complexity of building such resources causes many languages to lack them. So, learning them automatically from sample texts would be a desirable solution. This usually requires huge training corpora, which are not available for many local languages and jargons, lacking a wide literature. This paper focuses on stopwords, i.e., terms in a text which do not contribute in conveying its topic or content. It provides two main, inter-related and complementary, methodological contributions: (i) it proposes a novel approach based on term and document frequency to rank candidate stopwords, that works also on very small corpora (even single documents); and (ii) it proposes an automatic cutoff strategy to select the best candidates in the ranking, thus addressing one of the most critical problems in the stopword identification practice. Nice features of these approaches are that (i) they are generic and applicable to different languages, (ii) they are fully automatic, and (iii) they do not require any previous linguistic knowledge. Extensive experiments show that both are extremely effective and reliable. The former outperforms all comparable approaches in the state-of-the-art, both in terms of performance (Precision stays at 100% or nearly so for a large portion of the top-ranked candidate stopwords, while Recall is quite close to the maximum reachable in theory.) and in smooth behavior (Precision is monotonically decreasing, and Recall is monotonically increasing, allowing the experimenter to choose the preferred balance.). The latter is more flexible than existing solutions in the literature, requiring just one parameter intuitively related to the balance between Precision and Recall one wishes to obtain.

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Kößling, M., and M. Tajmar. "Design and performance of a nano-Newton torsion balance." Review of Scientific Instruments 93, no. 7 (July 1, 2022): 074502. http://dx.doi.org/10.1063/5.0086975.

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Here, we present a novel torsion balance with a torsional spring that can reach a resolution in the nano-Newton range while allowing for a total experimental weight of 2 kg. The balance uses an off-the-shelf electromagnetic actuator, which was calibrated. The oscillation of the balance is damped using an adaptable eddy-current brake to fine-tune the damping factor. Experiments and electronics are controlled and powered through four coaxial liquid contacts. The balance is shown to be highly linear between 0.01 and 300 μN. After an automated post-processing, the noise of a measurement was 1.0 nN, and an applied force of 10 nN had a calculated error of 11.9%.

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Wang, Wen, Chao Yan, Sheng Wang, Yu Huang, and Wu Yuan. "An efficient, robust and automatic overlapping grid assembly approach for partitioned multi-block structured grids." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 4 (January 10, 2018): 1217–36. http://dx.doi.org/10.1177/0954410017749865.

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An efficient, robust and fully automatic grid assembly method on multi-block cell-centered structured grids for massively parallel computation is proposed in this paper. Compared with the traditional serial algorithm, the new approach eliminates the complex irregular boundaries created during the grid partition and avoids the large load imbalance caused by the large variation of grid-block overlapping. The main task of the overlapping grid assembly is to categorize all grid points into field points, fringe points and hole points. As to the main processes of the overlapping grid assembly, for hole cutting, an improved hole map method is applied to accurately identify the hole points located on the wall boundary with less memory cost. For donor search which is the most complex process on account of the irregular distribution of the partitioned multi-block structured grids in a parallel computation environment, the Alternating Digital Tree (ADT) is utilized to find out the potential donor cells quickly for query points. Besides, to achieve better overlapping quality, the wall distance criterion is implemented for overlapping optimization. In addition, two load balance algorithms are designed to solve the imbalance problem of overlapping grid assembly. Two test cases are applied to test the new overlapping grid assembly algorithm and the results show that the new overlapping grid assembly algorithm can deal with large-scale simulation of vehicles. The comparison of total time and speed-up among three algorithms manifests that the initial load balance algorithm using query point number as load criterion is not reliable while the improved load balance algorithm achieves good speed-up and least runtime. Meanwhile, the maximum proportion the improved load balance algorithm takes in one physical unsteady step in wing-pylon-store separation test case is less than 6.1%.

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Hasegawa, Naoya, Vrutangkumar V. Shah, Patricia Carlson-Kuhta, John G. Nutt, Fay B. Horak, and Martina Mancini. "How to Select Balance Measures Sensitive to Parkinson’s Disease from Body-Worn Inertial Sensors—Separating the Trees from the Forest." Sensors 19, no. 15 (July 28, 2019): 3320. http://dx.doi.org/10.3390/s19153320.

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This study aimed to determine the most sensitive objective measures of balance dysfunction that differ between people with Parkinson’s Disease (PD) and healthy controls. One-hundred and forty-four people with PD and 79 age-matched healthy controls wore eight inertial sensors while performing tasks to measure five domains of balance: standing posture (Sway), anticipatory postural adjustments (APAs), automatic postural responses (APRs), dynamic posture (Gait) and limits of stability (LOS). To reduce the initial 93 measures, we selected uncorrelated measures that were most sensitive to PD. After applying a threshold on the Standardized Mean Difference between PD and healthy controls, 44 measures remained; and after reducing highly correlated measures, 24 measures remained. The four most sensitive measures were from APAs and Gait domains. The random forest with 10-fold cross-validation on the remaining measures (n = 24) showed an accuracy to separate PD from healthy controls of 82.4%—identical to result for all measures. Measures from the most sensitive domains, APAs and Gait, were significantly correlated with the severity of disease and with patient-related outcomes. This method greatly reduced the objective measures of balance to the most sensitive for PD, while still capturing four of the five domains of balance.

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Matskul, Valerii, Diana Okara, and Nataliia Podvalna. "The Ukraine and EU trade balance: prediction via various models of time series." SHS Web of Conferences 73 (2020): 01020. http://dx.doi.org/10.1051/shsconf/20207301020.

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This article is the first to study, simulate and forecast the monthly dynamics of the trade balance between Ukraine and the European Union for the period from 2005 to 2019. In the presented work, three types of models were used for modeling and forecasting: Automated Neural Networks, additive models ARIMA *ARIMAS (Autoregressive integrated moving average with season component) and Holts model with a damped trend. When modeling using the Automated Neural Networks module, various ensembles of networks and neuron activation functions in hidden layers were used. It turned out that Automated Neural Networks have poor prognostic ability (as in the case considered by us, when modeling insufficiently long series of dynamics). Therefore, when modeling and forecasting the dynamics of the Ukraine-EU trade balance, classical (so-called Box-Jenkins) time series models were used. In this case, the time series is divided into several components (in our case, terms): the main trend is the trend, the seasonal component and the random component (the so-called white noise). By smoothing the initial series, a trend was found, and an analysis of the autocorrelation functions revealed a one-year seasonality. Eliminating the trend and the seasonal component, we obtained a random component, which has a Gaussian distribution. This made it possible to apply first the ARIMA* ARIMAS additive model, and then the Holt model of exponential smoothing with a damped trend. Adequate models of Ukraine-EU trade balance dynamics have been obtained, according to which the forecast has been made. A comparative analysis of the models used. The best model was chosen for forecasting, which allowed to get a good forecast (in comparison with actual data).

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Journal articles on the topic 'Automatic white balance'

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