Journal articles: 'Resize'

1

Wang, Qi, and Yuan Yuan. "Learning to resize image." Neurocomputing 131 (May 2014): 357–67. http://dx.doi.org/10.1016/j.neucom.2013.10.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

WIELEMAKER, JAN, and KERI HARRIS. "Lock-free atom garbage collection for multithreaded Prolog - ERRATUM." Theory and Practice of Logic Programming 18, no. 1 (June 9, 2017): 120. http://dx.doi.org/10.1017/s1471068417000059.

Full text

Abstract:

Algorithm 4 on page 960 of the above named article (Wielemaker and Harris 2016) is flawed. The issue is illustrated by algorithm 1 (supplementary figure 1). If a thread A detects the condition table too full is false it proceeds adding its atom to the table. If thread B detects the table is (now) too full it starts a resize. The resize allocates a new table and copies the atoms from the old to the new table. If thread A adds the new atom after the copy loop passes its location and before thread B activates the new table the insertion is considered successful, but the new atom is only in the deactivated old table.

APA, Harvard, Vancouver, ISO, and other styles

3

Cheriere, Nathanaël, Matthieu Dorier, and Gabriel Antoniu. "How fast can one resize a distributed file system?" Journal of Parallel and Distributed Computing 140 (June 2020): 80–98. http://dx.doi.org/10.1016/j.jpdc.2020.02.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Cecil, Michael, Anita L. Nelson, James Trussell, and Robert Hatcher. "If the condom doesn't fit, you must resize it." Contraception 82, no. 6 (December 2010): 489–90. http://dx.doi.org/10.1016/j.contraception.2010.06.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Mancuso, Andrea. "Time to resize the role of liver transplant for Budd-Chiari syndrome." Liver International 35, no. 10 (March 27, 2015): 2339. http://dx.doi.org/10.1111/liv.12828.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Megantara, I. Gede Arya, I. Made Anom S. Wijaya, and I. Putu Gede Budisanjaya. "ALGORITMA IMAGE PROCESSING PENDUGAAN LUASAN SERANGAN PENYAKIT TUNGRO PADA PADI MELALUI PENDEKATAN FOTO UDARA." Jurnal Ilmiah Rekayasa Pertanian dan Biosistem 6, no. 2 (September 30, 2018): 188–96. http://dx.doi.org/10.29303/jrpb.v6i2.81.

Full text

Abstract:

Tungro merupakan salah satu penyebab kegagalan panen. Pendugaan luasan serangan sangat penting dilakukan untuk mengetahui besarnya serangan yang terjadi dan pendugaan hasil yang akan didapat. Foto udara merupakan salah satu teknologi yang dapat dikembangkan untuk menduga luasan serangan penyakit tungro. Tujuan dari penelitian ini adalah mengembangkan algoritma pendugaan luasan serangan penyakit tungro pada padi melalui pendekatan foto udara. Pengembangan algoritma pendugaan luas serangan menggunakan bantuan software Adobe Photoshop CS 6 dan Matlab R2013a. Penelitian ini terdiri dari beberapa tahapan, yaitu akuisisi citra, preprocessing, thresholding, operasi morfologi citra, perhitungan pixel, perhitungan luas serangan. Algoritma pendugaan luas serangan adalah akuisisi citra, normalisasi warna, mosaicking, resize, perhitungan skala, perhitungan pixel lahan, perhitungan pixel serangan dan perhitungan persentase serangan. Perhitungan pixel lahan menggunakan proses thresholding dan penjumlahan pixel. Perhitungan pixel serangan menggunakan thresholding otsu, operasi morfologi citra dan penjumlahan pixel. Perhitungan persentase serangan menggunakan perbandingan pixel serangan dengan pixel lahan. Uji T dilakukan terhadap data pendugaan persentase serangan dan perhitungan manual dengan menggunakan bantuan planimeter. Dari uji T didapatkan hasil bahwa kedua data memiliki besar yang sama. Berdasarkan hal tersebut maka dapat disimpulkan bahwa algoritma pendugaan image processing untuk menduga luasan serangan penyakit tungro adalah akuisisi citra, normalisasi warna, mosaicking, resize, perhitungan skala, perhitungan pixel lahan, perhitungan pixel serangan dan perhitungan persentase serangan.

APA, Harvard, Vancouver, ISO, and other styles

7

Chen, Lu, Hongjun Wang, and Xianghao Meng. "Remote Sensing Image Dataset Expansion Based on Generative Adversarial Networks with Modified Shuffle Attention." Sensors 21, no. 14 (July 16, 2021): 4867. http://dx.doi.org/10.3390/s21144867.

Full text

Abstract:

With the development of science and technology, neural networks, as an effective tool in image processing, play an important role in gradual remote-sensing image-processing. However, the training of neural networks requires a large sample database. Therefore, expanding datasets with limited samples has gradually become a research hotspot. The emergence of the generative adversarial network (GAN) provides new ideas for data expansion. Traditional GANs either require a large number of input data, or lack detail in the pictures generated. In this paper, we modify a shuffle attention network and introduce it into GAN to generate higher quality pictures with limited inputs. In addition, we improved the existing resize method and proposed an equal stretch resize method to solve the problem of image distortion caused by different input sizes. In the experiment, we also embed the newly proposed coordinate attention (CA) module into the backbone network as a control test. Qualitative indexes and six quantitative evaluation indexes were used to evaluate the experimental results, which show that, compared with other GANs used for picture generation, the modified Shuffle Attention GAN proposed in this paper can generate more refined and high-quality diversified aircraft pictures with more detailed features of the object under limited datasets.

APA, Harvard, Vancouver, ISO, and other styles

8

Gün, İlhan, Aslı Albayrak, and Asuman Gürsel. "Antifriz Proteinler: Gıdaların Korunmasında İnovatif Bir Ajan." Turkish Journal of Agriculture - Food Science and Technology 8, no. 7 (July 30, 2020): 1433–39. http://dx.doi.org/10.24925/turjaf.v8i7.1433-1439.2713.

Full text

Abstract:

Antifreeze proteins are those proteins that have ability to protect the organism against environmental conditions at temperatures below zero, and to resize the shape and size of ice crystals. Due to these properties, they prevent food from sensory, structural and mechanical damages during the storage in cold and they extend the product shelf life. In this review, the types and structure of antifreeze proteins, their mechanism of action and the possibilities of use in food are presented.

APA, Harvard, Vancouver, ISO, and other styles

9

Matrenichev, Vsevolod, Maria Clara Lessa Belone, Sarianna Palola, Pekka Laurikainen, and Essi Sarlin. "Resizing Approach to Increase the Viability of Recycled Fibre-Reinforced Composites." Materials 13, no. 24 (December 17, 2020): 5773. http://dx.doi.org/10.3390/ma13245773.

Full text

Abstract:

Most recycling methods remove the essential sizing from reinforcing fibres, and many studies indicate the importance of applying sizing on recycled fibres, a process we will denote here as resizing. Recycled fibres are not continuous, which dissociates their sizing and composite lay-up processes from virgin fibres. In this study, commercial polypropylene and polyurethane-based sizing formulations with an aminosilane coupling agent were used to resize recycled glass and carbon fibres. The impact of sizing concentration and batch process variables on the tensile properties of fibre-reinforced polypropylene and polyamide composites were investigated. Resized fibres were characterized with thermal analysis, infrared spectroscopy and electron microscopy, and the tensile properties of the composites were analysed to confirm the achievable level of performance. For glass fibres, an optimal mass fraction of sizing on the fibres was found, as an excess amount of film former has a plasticising effect. For recycled carbon fibres, the sizing had little effect on the mechanical properties but led to significant improvement of handling and post-processing properties. A comparison between experimental results and theoretical prediction using the Halpin-Tsai model showed up to 81% reinforcing efficiency for glass fibres and up to 74% for carbon fibres.

APA, Harvard, Vancouver, ISO, and other styles

10

Goodhew, Stephanie C., and Ann S. Plummer. "Flexibility in resizing attentional breadth: Asymmetrical versus symmetrical attentional contraction and expansion costs depends on context." Quarterly Journal of Experimental Psychology 72, no. 10 (May 10, 2019): 2527–40. http://dx.doi.org/10.1177/1747021819846831.

Full text

Abstract:

One of the core ways that attentional resources can be regulated is the breadth of attention: the tendency to concentrate one’s attentional resources over a small region of space (i.e., “narrow scope”), or to spread them over a larger region of space (i.e., “broad scope”). It has long been understood that humans have a preference towards the broad or global level of processing. More recently, beyond any static preference, researchers have increasingly appreciated the importance of rapid rescaling of attentional breadth to meet task demands, especially for real-world tasks such as driving. Here, we examined whether there was any asymmetry in the human capacity to resize attention from a narrow to broad scale (expansion) versus a broad to narrow scale (contraction). In Experiment 1, we found remarkable symmetry in expansion and contraction efficiency, even under conditions where the global stimuli were demonstrably more salient. This indicates that humans can flexibly adapt to the attentional demands of the context. However, in Experiment 2, an asymmetry was revealed, whereby attentional expansion was more efficient than contraction. The key difference between Experiments 1 and 2 was whether or not the initial baseline block demanded frequent attentional resizing, suggesting that recent experience can impact attentional flexibility. We also found reliable individual differences in participants’ ability to resize their attentional breadth, identifying a group of high-flexibility individuals who excelled at both attentional expansion and contraction.

APA, Harvard, Vancouver, ISO, and other styles

11

Potthoff, Andrej, and Matthias J. Bahr. "Response to Time to resize the role of liver transplant for Budd-Chiari syndrome." Liver International 35, no. 10 (April 10, 2015): 2340. http://dx.doi.org/10.1111/liv.12837.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Huang, Zhipeng, Frank Samuelson, Lucas Tcheuko, and Weijie Chen. "Adaptive designs in multi-reader multi-case clinical trials of imaging devices." Statistical Methods in Medical Research 29, no. 6 (August 28, 2019): 1592–611. http://dx.doi.org/10.1177/0962280219869370.

Full text

Abstract:

Evaluation of medical imaging devices often involves clinical studies where multiple readers (MR) read images of multiple cases (MC) for a clinical task, which are often called MRMC studies. In addition to sizing patient cases as is required in most clinical trials, MRMC studies also require sizing readers, since both readers and cases contribute to the uncertainty of the estimated diagnostic performance, which is often measured by the area under the ROC curve (AUC). Due to limited prior information, sizing of such a study is often unreliable. It is desired to adaptively resize the study toward a target power after an interim analysis. Although adaptive methods are available in clinical trials where only the patient sample is sized, such methodologies have not been established for MRMC studies. The challenge lies in the fact that there is a correlation structure in MRMC data and the sizing involves both readers and cases. We develop adaptive MRMC design methodologies to enable study resizing. In particular, we resize the study and adjust the critical value for hypothesis testing simultaneously after an interim analysis to achieve a target power and control the type I error rate in comparing AUCs of two modalities. Analytical results have been derived. Simulations show that the type I error rate is controlled close to the nominal level and the power is adjusted toward the target value under a variety of simulation conditions. We demonstrate the use of our methods in a real-world application comparing two imaging modalities for breast cancer detection.

APA, Harvard, Vancouver, ISO, and other styles

13

Chompoo, Suppatoomsin, and Srikaew Arthit. "Hybrid Method for Vehicle Detection from CCTV Captured Image." Advanced Materials Research 677 (March 2013): 412–17. http://dx.doi.org/10.4028/www.scientific.net/amr.677.412.

Full text

Abstract:

This paper presents a hybrid method for vehicle detection from CCTV captured image. In order to overwhelm such complex details of the color image, the system combines artificial intelligence techniques to achieve automatic vehicle detection. These are techniques 2D principal component analysis (2DPCA), Fuzzy adaptive resonance theory (Fuzzy ART), genetic algorithm (GA) and self-organizing map. The proposed system can detect different vehicle sizes from different proportional image area. Bilinear interpolation is used to resize each proportional image area to vehicle feature matrix. The proposed system can detect various types of vehicles from the difference image background.

APA, Harvard, Vancouver, ISO, and other styles

14

Padevět, Pavel, and Petr Bittnar. "The Cement Paste Creep with Addition of Fly Ash in Time and Ratio of Parts 60/40." Applied Mechanics and Materials 486 (December 2013): 341–46. http://dx.doi.org/10.4028/www.scientific.net/amm.486.341.

Full text

Abstract:

The article solves the comparing of the resize of cement paste creep with addition of fly ash in time. Creep was observed in the one monthly measurement for 4 and 10 months. The cement paste was prepared with fly ash in the ratio of the components 60/40 in favor of the cement components. Development of basic creep and creep was observed in water-saturated material. The measurement results are used as input data for the simulation of creep by the mathematical model and determine the values of the creep coefficient of cement paste. Results and comparison of q coefficients are presented.

APA, Harvard, Vancouver, ISO, and other styles

15

Panguluri, Sumanth Kumar, and Laavanya Mohan. "A DWT Based Novel Multimodal Image Fusion Method." Traitement du Signal 38, no. 3 (June 30, 2021): 607–17. http://dx.doi.org/10.18280/ts.380308.

Full text

Abstract:

Nowadays multimodal image fusion has been majorly utilized as an important processing tool in various image related applications. For capturing useful information different sensors have been developed. Mainly such sensors are infrared (IR) image sensor and visible (VI) image sensor. Fusing both these sensors provides better and accurate scene information. The major application areas where this fused image has been mostly used are military, surveillance, and remote sensing. For better identification of targets and to understand overall scene information, the fused image has to provide better contrast and more edge information. This paper introduces a novel multimodal image fusion method mainly for improving contrast and as well as edge information. Primary step of this algorithm is to resize source images. The 3×3 sharpen filter and morphology hat transform are applied separately on resized IR image and VI image. DWT transform has been used to produce "low-frequency" and "high-frequency" sub-bands. "Filters based mean-weighted fusion rule" and "Filters based max-weighted fusion rule" are newly introduced in this algorithm for combining "low-frequency" sub-bands and "high-frequency" sub-bands respectively. Fused image reconstruction is done with IDWT. Proposed method has outperformed and shown improved results in subjective manner and objectively than similar existing techniques.

APA, Harvard, Vancouver, ISO, and other styles

16

Liu, Feng, Chao Zhang, and Xiao Pei Wu. "Corrected Background-weighted Histogram Mean Shift Tracking Algorithm Based on Adaptive Bandwidth." Applied Mechanics and Materials 401-403 (September 2013): 1543–46. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1543.

Full text

Abstract:

The CBWH (corrected background-weighted histogram) scheme can effectively reduce backgrounds interference in target localization. But it still has the problem of scale and spatial localization inaccuracy. To solve the above issues, we proposed a method which generates a color probability distribution by taking advantage of the targets salient features. In the binary image, we calculate the invariant moment and thus to resize the tracking window of the next frame. A simple background-weighted model updating method is adopted to adapt to the complex background in tracking. Experimental results show that the proposed algorithm improves the robustness of object tracking by self-adaptive kernel-bandwidth updating.

APA, Harvard, Vancouver, ISO, and other styles

17

Kurnia Amerta, I. Made Pegi, and I. Gede Arta Wibawa. "Alphabet Writing Game Application using Template Matching Cross-correlation." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 8, no. 4 (February 4, 2020): 393. http://dx.doi.org/10.24843/jlk.2020.v08.i04.p05.

Full text

Abstract:

The game of writing letters is an attractive learning media. Each person's handwriting is different. So that it requires a data classification method to match the test data with the template that is the alphabet letter. In this journal using a template matching cross-correlation for data classification. Before data classification, preprocessing is done in the form of resize and threshold to produce binary images. Thinning process is also carried out to thin the letters. The thinning algorithm used is stentiford. From the accuracy testing obtained an average value of 70.38%. With the number of letters that continue to experience errors namely the characters H, K, M, and Y.

APA, Harvard, Vancouver, ISO, and other styles

18

Antony, Felix, Hafiz Irsyad, and Muhammad Ezar Al Rivan. "KNN Dan Gabor Filter Serta Wiener Filter Untuk Mendiagnosis Penyakit Pneumonia Citra X-RAY Pada Paru-Paru." Jurnal Algoritme 1, no. 2 (April 16, 2021): 147–55. http://dx.doi.org/10.35957/algoritme.v1i2.893.

Full text

Abstract:

Pneumonia adalah salah satu jenis penyakit paru-paru yang disebabkan oleh bakteri, virus, jamur, ataupun parasit. Salah satu cara untuk mengetahui penyakit pneumonia adalah dengan rontgen atau x-ray. Hasil rontgen akan dianalisis untuk mengetahui apakah terdapat pneumonia atau tidak. Penelitian ini bertujuan untuk mengklasifikasi hasil rontgen apakah terdapat pneumonia atau tidak pada hasil rontgen. metode yang digunakan untuk klasifikasi adalah K-Nearest Neighbor (KNN) dan metode ekstraksi Gabor Filter serta Wiener Filter. Tahapan yang dilaukan pada citra sebelum di Klasifikasi yaitu Resize, selanjutnya dilakukan ekstraksi menggunakan Gabor Filter, Image Enhancement menggunakan Wiener Filter dan di klasifikasi menggunakan K-Nearest Neighbor (KNN) menghasilkan akurasi terbaik sebesar 79,62%.

APA, Harvard, Vancouver, ISO, and other styles

19

Mancuso, Andrea, and Giovanni Perricone. "Time to resize the role of everolimus as treatment of hepatocellular carcinoma recurrence after liver transplant." Transplant International 28, no. 4 (March 4, 2015): 502. http://dx.doi.org/10.1111/tri.12477.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Abdo, Mohammed Ameen A., Ala Eldin Abdallah Awouda, and Yousif Elfatih Yousif. "A Fuzzy Logic Adaptive Image Resize (Resolution) Level using Cross-Layering in Wireless Multimedia Sensor Networks." International Journal of Computer Applications 183, no. 3 (May 19, 2021): 33–40. http://dx.doi.org/10.5120/ijca2021921308.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Efremtsev, V. G., N. G. Efremtsev, E. P. Teterin, P. E. Teterin, and E. S. Bazavluk. "Chest X-ray image classification for viral pneumonia and Сovid-19 using neural networks." Computer Optics 45, no. 1 (February 2021): 149–53. http://dx.doi.org/10.18287/2412-6179-co-765.

Full text

Abstract:

The use of neural networks to detect differences in radiographic images of patients with pneu-monia and COVID-19 is demonstrated. For the optimal selection of resize and neural network ar-chitecture parameters, hyperparameters, and adaptive image brightness adjustment, precision, recall, and f1-score metrics are used. The high values of these metrics of classification quality (> 0.91) strongly indicate a reliable difference between radiographic images of patients with pneumonia and patients with COVID-19, which opens up the possibility of creating a model with good predictive ability without involving ready-to-use complex models and without pre-training on third-party data, which is promising for the development of sensitive and reliable COVID-19 express-diagnostic methods.

APA, Harvard, Vancouver, ISO, and other styles

22

Sánchez de Walther, Amybel. "Redimensionar las relaciones públicas: en busca de un constructo teórico que optimice la dinámica comunicacional entre las realidades sociales y empresariales." Correspondencias & Análisis, no. 2 (November 1, 2013): 85–98. http://dx.doi.org/10.24265/cian.2012.n2.04.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Fatkhannudin, Muhammad Noor, and Adhi Prahara. "Gender Classification using Fisherface and Support Vector Machine on Face Image." Signal and Image Processing Letters 1, no. 1 (March 31, 2019): 32–40. http://dx.doi.org/10.31763/simple.v1i1.147.

Full text

Abstract:

Computer vision technology has been widely used in many applications and devices that involves biometric recognition. One of them is gender classification which has notable challenges when dealing with unique facial characteristics of human races. Not to mention the challenges from various poses of face and the lighting conditions. To perform gender classification, we resize and convert the face image into grayscale then extract its features using Fisherface. The features are reduced into 100 components using Principal Component Analysis (PCA) then classified into male and female category using linear Support Vector Machine (SVM). The test that conducted on 1014 face images from various human races resulted in 86% of accuracy using standard k-NN classifier while our proposed method shows better result with 88% of accuracy.

APA, Harvard, Vancouver, ISO, and other styles

24

Liebenlito, Muhaza, Yanne Irene, and Abdul Hamid. "Classification of Tuberculosis and Pneumonia in Human Lung Based on Chest X-Ray Image using Convolutional Neural Network." InPrime: Indonesian Journal of Pure and Applied Mathematics 2, no. 1 (March 31, 2020): 24–32. http://dx.doi.org/10.15408/inprime.v2i1.14545.

Full text

Abstract:

AbstractIn this paper, we use chest x-ray images of Tuberculosis and Pneumonia to diagnose the patient using a convolutional neural network model. We use 4273 images of pneumonia, 1989 images of normal, and 394 images of tuberculosis. The data are divided into 80% as the training set and 20% as the testing set. We do the preprocessing steps to all of our images data, such as resize, converting RGB to grayscale, and Gaussian normalization. On the training dataset, the sampling technique used is undersampling and oversampling to balance each class. The best model was chosen based on the Area under Curve value i.e. the area under the curve of Receiver Operating Characteristics. This method shows that the best model obtains when trains the training dataset using oversampling. The Area under Curve value is 0.99 for tuberculosis and 0.98 for pneumonia. Therefore, this best model succeeds to identify 86% true for tuberculosis and 96% true for pneumonia.Keywords: chest X-ray images; tuberculosis; pneumonia; convolutional neural network. AbstrakPada penelitian ini memanfaatkan data citra chest x-ray penderita penyakit tuberculosis dan pneumonia. Model convolutional neural network digunakan untuk membantu mendiagnosis kedua penyakit ini. Data yang digunakan masing-masing sudah dilabeli sebanyak 4273 citra pneumonia, 1989 citra normal dan 394 citra tuberculosis. Data tersebut dibagi menjadi 80% himpunan data latih dan 20% data uji. Himpunan data tersebut telah melalui 3 tahap prepocessing yaitu resize citra, merubah citra RGB menjadi grayscale dan standarisasi gausian pada citra. Pada data latih dilakukan teknik sampling berupa undersampling dan oversampling data untuk menyeimbangkan data latih antar kelas. Model terbaik dipilih berdasarkan nilai Area under Curve yaitu luas daerah di bawah kurva Receiver Operating Chracteristics. Hasil menunjukkan bahwa model terbaik dihasilkan ketika dilatih menggunakan data latih hasil oversampling dengan nilai Area under Curve kelas tuberculosis sebesar 0,99 dan nilai Area under Curve kelas pneumonia sebesar 0,98. Oleh karena itu, model terbaik ini mampu mengindentifikasi sebanyak 86% penyakit tuberculosis dan 96% penyakit pneumonia.Kata Kunci: citra chest X-ray; penyakit infeksi paru; pengolahan citra digital Convolutional Neural Network.

APA, Harvard, Vancouver, ISO, and other styles

25

Lv, Peng Wei, Jian Qing Xiao, and Sen Mao Shi. "A Novel Compiler Assisted Approach for Issue Queue Power Reduction." Applied Mechanics and Materials 543-547 (March 2014): 1981–86. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1981.

Full text

Abstract:

Superscalar processors contain complex control logic in order to extract sufficient instruction level parallelism (ILP). The issue logic is one of the main sources of power dissipation in current superscalar processors. It has been estimated that up to 30% of the energy consumed by a processor is in the issue logic. This paper presents a novel compiler assisted approach to power reduction where we use compiler analysis to pass information to the processor about the number of entries needed, allowing the processor to resize the issue queue dynamically which limit the number of instruction dispatched and resident in the queue reduces the energy consumption without adversely affecting performance. Compared with hardware scheme, our approach is simpler faster and saves more energy. Using the approach we achieve 43.3% dynamic and 28.5% static power savings.

APA, Harvard, Vancouver, ISO, and other styles

26

Fuly, Patrícia dos Santos Claro, Livia Márcia Vidal Pires, Claudia Quinto Santos de Souza, Beatriz Guitton Renaud Baptista de Oliveira, and Katia Grillo Padilha. "Nursing workload for cancer patients under palliative care." Revista da Escola de Enfermagem da USP 50, no. 5 (October 2016): 792–99. http://dx.doi.org/10.1590/s0080-623420160000600012.

Full text

Abstract:

Abstract OBJECTIVE To verify the nursing workload required by cancer patients undergoing palliative care and possible associations between the demographic and clinical characteristics of the patients and the nursing workload. METHOD This is a quantitative, cross-sectional, prospective study developed in the Connective Bone Tissue (TOC) clinics of Unit II of the Brazilian National Cancer Institute José Alencar Gomes da Silva with patients undergoing palliative care. RESULTS Analysis of 197 measures of the Nursing Activities Score (NAS) revealed a mean score of 43.09% and an association between the performance status of patients undergoing palliative care and the mean NAS scores. The results of the study point to the need to resize the team of the unit. CONCLUSION The NAS has proven to be a useful tool in oncologic clinical units for patients undergoing palliative care.

APA, Harvard, Vancouver, ISO, and other styles

27

Md Zin, Izwan Asraf, Zaidah Ibrahim, Dino Isa, Sharifah Aliman, Nurbaity Sabri, and Nur Nabilah Abu Mangshor. "Herbal plant recognition using deep convolutional neural network." Bulletin of Electrical Engineering and Informatics 9, no. 5 (October 1, 2020): 2198–205. http://dx.doi.org/10.11591/eei.v9i5.2250.

Full text

Abstract:

This paper investigates the application of deep Convolutional Neural Network (CNN) for herbal plant recognition through leaf identification. Traditional plant identification is often time-consuming due to varieties as well as similarities possessed within the plant species. This study shows that a deep CNN model can be created and enhanced using multiple parameters to boost recognition accuracy performance. This study also shows the significant effects of the multi-layer model on small sample sizes to achieve reasonable performance. Furthermore, data augmentation provides more significant benefits on the overall performance. Simple augmentations such as resize, flip and rotate will increase accuracy significantly by creating invariance and preventing the model from learning irrelevant features. A new dataset of the leaves of various herbal plants found in Malaysia has been constructed and the experimental results achieved 99% accuracy

APA, Harvard, Vancouver, ISO, and other styles

28

Cholongitas, Evangelos, and Patrizia Burra. "Reply to: Time to resize the role of everolimus as treatment of hepatocellular carcinoma recurrence after liver transplant." Transplant International 28, no. 4 (March 4, 2015): 503–4. http://dx.doi.org/10.1111/tri.12496.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

ISAAC, ALISTAIR M. C. "Digital Images: Content and Compositionality." Journal of the American Philosophical Association 3, no. 1 (2017): 106–26. http://dx.doi.org/10.1017/apa.2017.13.

Full text

Abstract:

ABSTRACT:Typical accounts of imagistic content have focused on the apparent analog character or continuous variability of images. In contrast, I consider the distinctive features of digital images, those composed of finite sets of discrete pixels. A rich source of evidence on digital imagistic content is found in the content-preserving algorithms that resize and reproduce digital images on computer screens and printers. I argue that these algorithms reveal a distinctive structural feature: digital images are always compositional (their parts contribute systematically to overall content), but never inverse compositional (atomic parts may be replaced nonsynonymously without changing content). This indicates a sharp contrast with linguistic representations, which may or may not be compositional, and may or may not be inverse compositional. I argue this result sheds new light on the claim that imagistic content is inherently perspectival.

APA, Harvard, Vancouver, ISO, and other styles

30

Markov, Oleg E., Natalia A. Rudenko, Igor A. Grachov, Aleksandar Ristovski, and Vladimir Radojičić. "Improvement of Plate’s Shape for Ingots Upsetting." Applied Mechanics and Materials 806 (November 2015): 141–50. http://dx.doi.org/10.4028/www.scientific.net/amm.806.141.

Full text

Abstract:

A stress-strain state and a resize of an axial defect during upsetting have been investigated in the article. Theoretical research based on a FEM has been conducted. The upsetting of cylindrical steel workpieces which had the axial defect equal to 10 % of the workpiece diameter has been simulated. Upsetting has been carried out by flat, concave-conical and convex plates (solid or with hole). The result of the studies showed that the main influence on the workpiece shape had a ratio of dimensions. The maximal closure of the axial defect provides upsetting by concave-conical solid plates. Upsetting by flat plates does not provide the closure of axial defects. Convex plates provide the uniform stress-strain state along the workpiece cross section. The hole in the plates increases the non-uniformity of strain distribution and also does not provide the axial defects closure.

APA, Harvard, Vancouver, ISO, and other styles

31

Rusu, Maria-Lucia, Ioan Virca, and Ioan-Dan Popa. "Efficiency of Communication in Perceiving Online Learning." International conference KNOWLEDGE-BASED ORGANIZATION 27, no. 2 (June 1, 2021): 187–92. http://dx.doi.org/10.2478/kbo-2021-0071.

Full text

Abstract:

Abstract Online learning in the pandemic took place as an emergency situation in which the quality and comfort of life were affected by loneliness, social distancing, risks, stress, fear, anxiety and automatically by a negative perception of the virtual environment. The Romanian education system has become aware of the need to resize the education process and a large number of students have gained knowledge through new online learning methods, which have prompted teachers to redesign their courses and teaching strategies to improve learning effectiveness. The article presents the general characteristics of online learning, which serve distance learning in this time of pandemic crisis. The research is applied to university education and highlights the advantages, challenges and limitations of online learning. The ultimate goal of the research is to identify the perception of participants in this type of virtual education and their participatory guidance through effective communication.

APA, Harvard, Vancouver, ISO, and other styles

32

Short, Pamela Farley, Dennis G. Shea, and M. Paige Powell. "A Workable Solution for the Pre-Medicare Population." INQUIRY: The Journal of Health Care Organization, Provision, and Financing 38, no. 2 (May 2001): 214–24. http://dx.doi.org/10.5034/inquiryjrnl_38.2.214.

Full text

Abstract:

Incremental reforms to expand health coverage among older Americans are justified by medical spending that increases with age and enrollment in employer insurance that decreases with age. Older Americans are also at risk of unexpected changes in health, access to health insurance, and earnings that could leave them poorly positioned financially for their retirement years. We propose offering universal access to Medicare at a community-rated premium, with premium vouchers for those with a history of low lifetime earnings and tax-preferred savings accounts to help everyone with the increased cost of insurance at older ages. These subsidies are available for coverage obtained from sources other than Medicare. We would set the eligibility age for the buy-in at 62. However, because enrollment in employer insurance does not drop precipitously at age 62, we regard the eligibility age as an adjustable design element that could resize the program to fit political and budgetary constraints.

APA, Harvard, Vancouver, ISO, and other styles

33

Safi'i, Imam, Silvi Rushanti Widodo, and Ria Lestari Pangastuti. "Analisis Risiko pada UKM Tahu Takwa Kediri terhadap Dampak Pandemi COVID-19." Jurnal Rekayasa Sistem Industri 9, no. 2 (July 27, 2020): 107–14. http://dx.doi.org/10.26593/jrsi.v9i2.4003.107-114.

Full text

Abstract:

The Pandemic of COVID-19 and social restriction policy (PSBB) in Indonesia caused a lot of impacts, one of them is Tofu Takwa SMEs in Kediri. This condition disrupts production activities up to marketing. Then it takes a risk analysis by looking at the main potential risks that arise while pandemic like this and do manage to get a strategy for their business sustainability. This research aims to analyze and manage the main risks that occur in Tofu Takwa SMEs in Kediri. The results showed that there are 3 risks in a high level like decrease of the income, decrease in production amount and increase the price of raw materials and 1 risk in middle level like late in delivery raw material so that it can be done by financial strategy, resize, search for a new market with social media and cooperate with the local government to help the marketing of social service programs.

APA, Harvard, Vancouver, ISO, and other styles

34

Hu, Hong Ping, and Yan Ping Bai. "A Kind of Car License Plate Location Based on Color Feature and Mathematical Morphology." Advanced Materials Research 671-674 (March 2013): 2851–54. http://dx.doi.org/10.4028/www.scientific.net/amr.671-674.2851.

Full text

Abstract:

The proposed method of the license plate location is based on mathematical morphology, color feature and edge detection. It consists of two parts on raw location of license plate and refined location of license plate. In the raw location part, resize the image into the same size, consider the relation of R, G, B components in the image to deal with the noise, detect the edge and use the operations of mathematical morphology repeatedly to obtain the license plate candidate, obtain the raw location by the up-down bound and left-right bound of the license plate. In the refined location part, for the obtained raw location of the license plate, use Radon transformation, edge detection, use the operations of mathematical morphology, find the up-down bound and left-right bound so that the refined location of the license plate is obtained. It is shown that the proposed method is suit for the Chinese license plate with white character and blue background.

APA, Harvard, Vancouver, ISO, and other styles

35

Casciaro, Sergio, Maria Daniela Renna, Paola Pisani, Antonio Greco, Francesco Conversano, and Maurizio Muratore. "New Ultrasound-Based Methods for Early Osteoporosis Diagnosis and Fracture Risk Estimation." International Journal of Measurement Technologies and Instrumentation Engineering 4, no. 2 (April 2014): 24–38. http://dx.doi.org/10.4018/ijmtie.2014040103.

Full text

Abstract:

Osteoporosis is the most common disorder of bone metabolism. The main consequence of this disease is the increased risk of fracture. Osteoporotic fractures represent a serious problem in terms of social and economic costs. Then, there is a strong need for the assessment of the best practices in prevention and treatment of osteoporosis. Dual X-ray absorptiometry (DXA) represents the current “gold standard” method for osteoporosis diagnosis. However, DXA cannot be employed for population mass screenings, because of required exposition to ionizing radiation and high management costs. The aim of this paper was to review the currently available techniques for osteoporosis diagnosis and also to illustrate the feasibility of an innovative quick, cheap and non-invasive ultrasound-based methodology. The results recently published by the authors' research group suggest that the proposed approach has the potential for routine application in early diagnosis, which is the key to resize the impact of osteoporosis on healthcare systems.

APA, Harvard, Vancouver, ISO, and other styles

36

Lawanwong, Komgrit, and Wichai Pumchan. "Wear Mechanism and Ability for Recovery of Tool Steel on Blanking Die Process." Key Engineering Materials 725 (December 2016): 572–77. http://dx.doi.org/10.4028/www.scientific.net/kem.725.572.

Full text

Abstract:

Tool steel grade JIS; SKD-11 is a well-known raw material for making a high wear resistance of blanking tool in stamping industry. One problem in the blanking process is the high cost of raw material for making punch and die. Therefore, in this study, behavior of wear phenomenon and ability of recycle on the punch of blanking die process were investigated. In the first section, phenomenon and mechanism wear of blanking punch were observed. We found that mechanism of wear on blanking punch was adhesion wear, since high amount of chromium content in the punch has compatibility of elements. The second section, recovery punch was designed by annealing, resize and quenching process by using the new punch from the first section. From the recovery punch results, it was found that the wear resistance of recovery punch decreased slightly but it was strong enough to continue in blanking process. However, the recycle process of tool steel depends on a quality and amount of the product.

APA, Harvard, Vancouver, ISO, and other styles

37

Wang, Xuancang, Jing Zhao, Qiqi Li, Naren Fang, Peicheng Wang, Longting Ding, and Shanqiang Li. "A Hybrid Model for Prediction in Asphalt Pavement Performance Based on Support Vector Machine and Grey Relation Analysis." Journal of Advanced Transportation 2020 (February 12, 2020): 1–14. http://dx.doi.org/10.1155/2020/7534970.

Full text

Abstract:

Pavement performance prediction is a crucial issue in big data maintenance. This paper develops a hybrid grey relation analysis (GRA) and support vector machine regression (SVR) technique to predict pavement performance. The prediction model can solve the shortcomings of the traditional model including a single consideration factor, a short prediction period, and easy overfitting. GAR is employed in selecting the main factors affecting the performance of asphalt pavement. The SVR is performed to predict the performance. Finally, the data collected from the weather station installed on Guangyun Expressway were adopted to verify the validity of the GRA-SVR model. Meanwhile, the contrast with the grey model (GM (1, 1)), genetic algorithm optimization BP[[parms resize(1),pos(50,50),size(200,200),bgcol(156)]]081%, −0.823%, 1.270%, and −4.569%, respectively. The study concluded that the nonlinear and multivariate prediction model established by GRA-SVR has higher precision and operability, which can be used in long-period pavement performance prediction.

APA, Harvard, Vancouver, ISO, and other styles

38

Kost, Julieanne. "Inside Adobe Photoshop and Acrobat." Microscopy and Microanalysis 7, S2 (August 2001): 830–31. http://dx.doi.org/10.1017/s1431927600030221.

Full text

Abstract:

Adobe Photoshop has been the defacto standard for imaging professionals for many years. Most scientists have adopted this program because of the ease of use and the quality of the output. It is obvious to most who use this program that most users only master a limited subset of this programs' capabilities.This session is an attempt to introduce more of this imaging applications' capabilites from one of Adbobe's Photoshop Evangelists. I will try to show you how to get the most out of Adobe Photoshop by revealing the most productive and efficient digital imaging workflows. I will focus on developing a greater understanding of the current technology within this powerful imaging application program as well as explain the most efficient methods of manipulating, printing, and posting images on the web. I will demonstrate quick and easy ways to crop and resize images as well as make tonal changes and apply custom color tables (Fig. 1).

APA, Harvard, Vancouver, ISO, and other styles

39

Makwana, Gaurav, and Lalita Gupta. "Identification of Micro-calcification in Mammogram for Breast Cancer Analysis using SVM Classifier." International Journal of Engineering & Technology 7, no. 2.16 (April 12, 2018): 29. http://dx.doi.org/10.14419/ijet.v7i2.16.11411.

Full text

Abstract:

Breast cancer is most common disease in women of all ages. To identify & confirm the state of tumor in breast cancer diagnosis, patients are undergo biopsy number of times to identify malignancy. Early detection of cancer can save the patient. In this paper a novel approach for automatic segmentation & classification of breast calcification is proposed. The diagnostic test technique for detection of breast condition is very costly & requires human expertise whereas proposed method can help in automatically identifying the disease by comparing the data with the standard database. In proposed method a database has been created to define various stage of breast calcification & testing images are pre-processed to resize, enhance & filtered to remove background noise. Clustering is performed by using k-means clustering algorithm. GLCM is used to extract out statistical feature like area, mean, variance, standard deviation, homogeneity, skewness etc. to classify the state of tumor. SVM classifier is used for the classification using extracted feature.

APA, Harvard, Vancouver, ISO, and other styles

40

Kuhfuss, Bernd, Christian Schenck, and Philipp Wilhelmi. "Laser Profile Scanner Application for Micro Part Detection." Applied Mechanics and Materials 275-277 (January 2013): 2527–30. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.2527.

Full text

Abstract:

Due to size effects production processes for macro parts are often not applicable to micro production. Especially the handling is more complicated. The approach to overcome these problems is to resize the parts to the macro world by producing them in linked parts. These structures use the base material as a substrate which keeps the micro parts interconnected. The small tolerances for micro parts demand a high precision positioning for the subsequent processing. An equidistant arrangement cannot be assured by the manufacturing processes. The micro parts must be identified within the linked parts by characteristic geometrical features and referenced separately with respect to the feed system. For this task the application of a laser profile scanner is investigated. For the data evaluation and the recognition of typical geometrical features a real-time capable algorithm with sufficient robustness against noise and measuring errors is developed. To validate the function of the algorithm test measurements are performed and compared to reference measurements done by microscopy.

APA, Harvard, Vancouver, ISO, and other styles

41

Lin, Jimmi, and Hafiz Irsyad. "Klasifikasi Pneumonia Pada Citra X-Rays Paru-Paru Menggunakan GLCM Dan LVQ." Jurnal Algoritme 1, no. 2 (April 16, 2021): 184–94. http://dx.doi.org/10.35957/algoritme.v1i2.897.

Full text

Abstract:

Pneumonia merupakan salah satu penyakit infeksi saluran pernafasan yang ditanda dengan peradangan pada satu atau kedua paru-paru yang dapat disebabkan oleh jamur, virus, dan bakteri yang menyebabkan kantung udara sulit menyerap oksigen. Salah satu cara yang dapat digunakan untuk mendeteksi adanya penyakit pneumonia adalah dengan foto rontgen, hasil foto rontgen akan dianalisis oleh orang yang ahli dalam bidang tersebut untuk memastikan apakah adanya pneumonia atau tidak. Penelitian ini dilakukan dengan tujuan untuk mengklasifikasikan hasil x-rays kedalam sebuah program untuk mengetahui apakah terdapat pneumonia atau tidak. Metode yang digunakan untuk ekstraksi fitur adalah Gray Level Co-Occurrence Matrix (GLCM) dengan arah 0°, 45°, 90°, 135° dan metode klasifikasi Learning Vector Quantization (LVQ). Proses sebelum dilakukan klasifikasi yaitu melakukan resize terlebih dahulu, selanjutnya dilakukan ekstraksi fitur menggunakan Gray Level Co-Occurrence Matrix (GLCM) dan di klasifikasi menggunakan Learning Vector Quantization (LVQ) dengan akurasi data train terbaik sebesar 89,714% dan akurasi data test yang terbaik sebesar 74,000% yang didapat pada pengujian dengan learning rate = 0,4.

APA, Harvard, Vancouver, ISO, and other styles

42

Anraeni, Siska, Ingrid Nurtanio, and Indrabayu Indrabayu. "Detection of Kidney Organ Condition Using Hidden Markov Models." TELKOMNIKA Indonesian Journal of Electrical Engineering 15, no. 2 (August 1, 2015): 294. http://dx.doi.org/10.11591/tijee.v15i2.1542.

Full text

Abstract:

The frequencies of chronic kidney disease are likely to continue to increase worldwide. So people need to take a precaution, which is by maintaining kidney health and early detection of renal impairment by analyzing the composition of the iris is known as iridology. This paper presents a novel approach using a one-dimensional discrete Hidden Markov Model (HMM) classifier and coefficients Singular Value Decomposition (SVD) as a feature for image recognition iris to indicate normal or abnormal kidney. The system has been examined on 200 iris images. The total images of the abnormal kidney condition were 100 images and those for the normal kidney condition were 100 images. The system showed a classification rate up to 100% using total of image for training and testing the system unspecified, resize iris image 56x46 pixels, coefficient values U(1,1), Σ(1,1) and Σ(2,2), quantized values [18 10 7], and classify by 7-state HMM with .pgm format database.

APA, Harvard, Vancouver, ISO, and other styles

43

Angkoso, Cucun Very, Muhammad Fuad, and Dian Rusdi Hadiwineka. "PENGENALAN ABJAD SISTEM ISYARAT BAHASA INDONESIA (SIBI) BERBASIS KAMERA DEPTH." LINK 24, no. 1 (April 28, 2018): 6. http://dx.doi.org/10.31090/link.v24i1.4.

Full text

Abstract:

Interaksi dalam kehidupan sehari-hari umumnya menggunakan bahasa verbal. Penyandang disabilitas tidak dapat menggunakan bahasa verbal, tetapi mereka menggunakan bahasa isyarat yang sulit untuk dimengerti. Sehingga, mereka membutuhkan seorang translator, namun dilain sisi translator tidak dapat memberi mereka privasi. Pada penelitian ini sistem pengenalan isyarat alfabet SIBI dilakukan dengan memanfaatkan kamera depth dari Microsoft kinect. Kinect merupakan sebuah teknologi baru yang dapat memindai gerakan manusia dan suara. Pemanfaatan kinect bertujuan untuk melakukan pengenalan bahasa isyarat secara real-time. Kamera depth menghasilkan citra 3D yang dapat digunakan dalam ruangan gelap dan memungkinkan proses deteksi lebih akurat. Dalam penelitian ini dilakukan segmentasi citra berdasarkan jarak antara obyek dan latar belakang dan hanya menangkap bagian tangan. Binerisasi adalah proses selanjutnya dengan otsu thresholding. Selanjutnya cropping untuk mengambil obyek diperlukan dan resize agar mempermudah dan mempercepat proses selanjutnya. Terakhir, proses pengenalan menggunakan metode euclidean distance berdasarkan nilai jarak terkecil antara template dan obyek. Pengujian template menghasilkan akurasi sebesar 96.538462%. Pengujian real-time menghasilkan akurasi yang baik jika tangan pengguna ditangkap kamera dengan hasil sama seperti template.Kata Kunci: kinect, SIBI, euclidean distance, kamera depth, otsu

APA, Harvard, Vancouver, ISO, and other styles

44

Hiraoka, Daiki, Momoyo Ito, Shin-ichi Ito, and Minoru Fukumi. "Japanese Janken Recognition by Support Vector Machine Based on Electromyogram of Wrist." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 11, no. 2 (December 7, 2017): 154–62. http://dx.doi.org/10.37936/ecti-cit.2017112.105092.

Full text

Abstract:

We propose a method which can discriminate hand motions in this paper. We measure an electromyogram (EMG) of wrist by using 8 dry type sensors. We focus on four motions, such as “Rock-Scissors-Paper” and “Neutral”. “Neutral” is a state that does not do anything. In the proposed method, we apply fast Fourier transformation (FFT) to measured EMG data, and then remove a hum noise. Next, we combine values of sensors based on a Gaussian function. In this Gaussian function, variance and mean are 0.2 and 0, respectively. We then apply normalization by linear transformation to the values. Subsequently, we resize the values into the range from -1 to 1. Finally, a support vector machine (SVM) conducts learning and discrimination to classify them. We conducted experiments with seven subjects. Average of discrimination accuracy was 89.8%. In the previous method, the discrimination accuracy was 77.1%. Therefore, the proposed method is better in accuracy than the previous method. In future work, we will conduct an experiment which discriminates Japanese Janken of a subject who is not learned.

APA, Harvard, Vancouver, ISO, and other styles

45

Saadi Abdullah, Ahmed, Majida Ali Abed, and Ahmed Naser Ismael. "Traffic signs recognitionusing cuckoo search algorithm and Curvelettransform with image processing methods." Journal of Al-Qadisiyah for computer science and mathematics 11, no. 2 (September 6, 2019): 74–81. http://dx.doi.org/10.29304/jqcm.2019.11.2.591.

Full text

Abstract:

Compliance with traffic signs is one of the most important things to follow to avoid traffic accidents as well as compliance with traffic rules in terms of parking, speed control, and other traffic sings. Progress in different areas, such as self-propelled car manufacturing or the production of devices that help the visually impaired, require values to find a way to determine traffic signals with high precision in this research, The first step is to take a picture of the traffic sign and apply some digital image processing techniques to increase image contrast and eliminate noise in the image, the second step resize of origin image , the third step convert color to(YCbCr, HSB) or stay on RGB, the fourth step image is disassembled using curvelet transform and get coefficients , and the last step using cuckoo search algorithm to recognition sings traffics ,the MATLAB (2011b) program was used to implement the proposed algorithm . After applying this method to a set of traffic the percentage of discrimination of traffic signs was yellow 93%, green 94%, blue 94.5%, red 96%.

APA, Harvard, Vancouver, ISO, and other styles

46

Hassan, Khaled M., Abdulbaqi A. Suwaydi, Abdulaziz A. Alshikh, Afnan M. Alkhairi, Asmaa Y. Nassir, Hamoud O. Al-Ahmari, Mohammed A. Alamri, et al. "Effect of lifestyle and socioeconomic status in type I diabetes in children." International Journal Of Community Medicine And Public Health 7, no. 11 (October 26, 2020): 4456. http://dx.doi.org/10.18203/2394-6040.ijcmph20204444.

Full text

Abstract:

Background: This study describes the effect of life style and socioeconomic state in children diagnosed with type 1 diabetes mellitus. The study was conducted in different health centers in Mexico, to clarify and describe relationship between life style, socioeconomic state and occurrence of diabetes type I.Methods: The sample was 65 children with similar characteristics, they agreed to participate in the study, from July 2012 to September 2012. IMEVID was used to describe effect of lifestyle and socioeconomic state.Results: 29.23% has been applied to sustain a "good lifestyle", which corresponded to a "healthy" rating, but highest concentration were in an inappropriate lifestyle (70.77%), classified into two classifications 56.92% was "moderately healthy" and only 13.85% was "unhealthy" behavior. Significant correlation between the styles of life evaluated and considered dimensions, except with the emotional state was found. Relationship existed between the style of life evaluated and perceived by patients.Conclusions: Gradual clarification of the concept known as "lifestyle" has enabled the health sciences resize the notion of the state of "health and disease"; results are consistent with other studies conducted in Mexico.

APA, Harvard, Vancouver, ISO, and other styles

47

Hartono, Budi, and Veronica Lusiana. "Model of Multilevel Sub-Image to Find the Position of Region of Interest." Scientific Journal of Informatics 3, no. 2 (November 17, 2016): 189–96. http://dx.doi.org/10.15294/sji.v3i2.7915.

Full text

Abstract:

Searching image is based on the image content, which is often called with searching of image object. If the image data has similarity object with query image then it is expected the searching process can recognize it. The position of the image object that contains an object, which is similar to the query image, is possible can be found at any positionon image data so that will become main attention or the region of interest (ROI). This image object can has different wide image, which is wider or smaller than the object on the query image. This research uses two kinds of image data sizes that are in size of 512X512 and in size of 256X256 pixels.Through experimental result is obtained that preparing model of multilevel sub-image and resize that has same size with query image that is in size of 128X128 pixels can help to find ROI position on image data. In order to find the image data that is similar to the query image then it is done by calculating Euclidean distance between query image feature and image data feature.

APA, Harvard, Vancouver, ISO, and other styles

48

Yang, Yong, Wei Tu, Shuying Huang, and Hangyuan Lu. "PCDRN: Progressive Cascade Deep Residual Network for Pansharpening." Remote Sensing 12, no. 4 (February 19, 2020): 676. http://dx.doi.org/10.3390/rs12040676.

Full text

Abstract:

Pansharpening is the process of fusing a low-resolution multispectral (LRMS) image with a high-resolution panchromatic (PAN) image. In the process of pansharpening, the LRMS image is often directly upsampled by a scale of 4, which may result in the loss of high-frequency details in the fused high-resolution multispectral (HRMS) image. To solve this problem, we put forward a novel progressive cascade deep residual network (PCDRN) with two residual subnetworks for pansharpening. The network adjusts the size of an MS image to the size of a PAN image twice and gradually fuses the LRMS image with the PAN image in a coarse-to-fine manner. To prevent an overly-smooth phenomenon and achieve high-quality fusion results, a multitask loss function is defined to train our network. Furthermore, to eliminate checkerboard artifacts in the fusion results, we employ a resize-convolution approach instead of transposed convolution for upsampling LRMS images. Experimental results on the Pléiades and WorldView-3 datasets prove that PCDRN exhibits superior performance compared to other popular pansharpening methods in terms of quantitative and visual assessments.

APA, Harvard, Vancouver, ISO, and other styles

49

Ramírez Caro, Jorge. "El Señor Presidente y el vanguardismo surrealista." LETRAS, no. 46 (July 25, 2009): 29–49. http://dx.doi.org/10.15359/rl.2-46.2.

Full text

Abstract:

El Señor Presidente es un texto vanguardista, no según la modalidad europea, sino según la vertiente híbrida surgida en América Latina. La novela utiliza recursos y estrategias discursivas del surrealismo para redimensionar las experiencias subjetivas de unos personajes envueltos por la atmósfera pesadillesca y demoníaca de la dictadura. Como texto híbrido mezcla lo ajeno (vanguardias europeas y cristianismo) y lo propio (cultura maya-quiché); y su confluencia posibilita la colisión de tres estéticas: la corriente realista (realismo y regionalismo), el mundo animista maya-quiché y las vanguardias (surrealismo).El Señor Presidente is a vanguard text, not in the European sense, but following the hybrid form appearing in Latin America. The novel employs resources and discourse strategies of surrealism to resize the subjective experiences of some characters enveloped in the nightmarish and demonic atmosphere of the dictatorship. As a hybrid text, foreign aspects (European vanguards and Christianity) are combined with their own (Mayan-Quiche culture); and their coming together leads to the collision of three esthetic codes: realist currents (realism and regionalism), the animist Mayan-Quiche world and the vanguards (surrealism).

APA, Harvard, Vancouver, ISO, and other styles

50

Nicoletti, Lorenzo, Peter Köhler, Adrian König, Maximilian Heinrich, and Markus Lienkamp. "PARAMETRIC MODELLING OF WEIGHT AND VOLUME EFFECTS IN BATTERY ELECTRIC VEHICLES, WITH FOCUS ON THE GEARBOX." Proceedings of the Design Society 1 (July 27, 2021): 2389–98. http://dx.doi.org/10.1017/pds.2021.500.

Full text

Abstract:

AbstractThe modeling of battery electric vehicles (BEVs) still represents a challenge for vehicle manufacturers. The installation of the new types of components needed for BEVs gives rise to uncertainties in the quantification of parameters like the vehicle's weight. Indeed, vehicle weight plays a key role, since it has a drastic effect on the vehicle's range, which is an important selling point for BEVs. Uncertainties in weight estimation create weight fluctuations during the early development phase and the need to resize components like the electric machine or battery. This in turn affects the components' volume and weight. However, such resizing can also lead to component collision and unfeasibility of the vehicle architecture. To solve this problem and to support concept engineers during the early development phase, an iterative approach is required that is capable of estimating weight and volume fluctuations in the relevant components. The approach should also consider the geometrical interdependencies of the components, to ensure that no collisions occur between them. Taking the gearbox as an example application, this paper presents a novel approach that satisfies these requirements.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Resize'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles