Journal articles: 'VARION algorithm'

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Savastano, Giorgio, Attila Komjathy, Esayas Shume, et al. "Advantages of Geostationary Satellites for Ionospheric Anomaly Studies: Ionospheric Plasma Depletion Following a Rocket Launch." Remote Sensing 11, no. 14 (2019): 1734. http://dx.doi.org/10.3390/rs11141734.

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In this study, we analyzed signals transmitted by the U.S. Wide Area Augmentation System (WAAS) geostationary (GEO) satellites using the Variometric Approach for Real-Time Ionosphere Observation (VARION) algorithm in a simulated real-time scenario, to characterize the ionospheric response to the 24 August 2017 Falcon 9 rocket launch from Vandenberg Air Force Base in California. VARION is a real-time Global Navigation Satellites Systems (GNSS)-based algorithm that can be used to detect various ionospheric disturbances associated with natural hazards, such as tsunamis and earthquakes. A noise reduction algorithm was applied to the VARION-GEO solutions to remove the satellite-dependent noise term. Our analysis showed that the interactions of the exhaust plume with the ionospheric plasma depleted the total electron content (TEC) to a level comparable with nighttime TEC values. During this event, the geometry of the satellite-receiver link is such that GEO satellites measured the depleted plasma hole before any GPS satellites. We estimated that the ionosphere relaxed back to a pre-perturbed state after about 3 h, and the hole propagated with a mean speed of about 600 m/s over a region of 700 km in radius. We conclude that the VARION-GEO approach can provide important ionospheric TEC real-time measurements, which are not affected by the motion of the ionospheric pierce points (IPPs). Furthermore, the VARION-GEO measurements experience a steady noise level throughout the entire observation period, making this technique particularly useful to augment and enhance the capabilities of well-established GNSS-based ionosphere remote sensing techniques and future ionospheric-based early warning systems.

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Bobby, Barua, Kishore Pandit Dhrubo, Golam-Mostafa Md., Ahmed Turjo Tawheed, Rahman Ishmam, and Aktheruzzaman K.M. "Feasibility Study of Bangabandhu Satellite – 2." Recent Trends in Information Technology and its Application 4, no. 3 (2022): 1–18. https://doi.org/10.5281/zenodo.5844195.

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Bangabandhu Satellite-1, a powerful emblem of the country's ambitions, is aiming to boost economic development and create employment. The tiniest changes in this software sparked a frenzy on social media and sparked unparalleled excitement. Defense, remote patient monitoring, literacy, science, web conferencing, and other business sectors in the area have all benefited from the satellite. With the advent of the Bangabandhu Satellite-1, Bangladesh's satellite communication exploration has taken a new direction. We must first research and evaluate satellite operation principles before we can make a significant contribution to this exciting wake of globalization. The overall goal of the research is to recognize a feasibility review for the Bangabandhu Satellite-2. Only certain case study on Bangabandhu Satellite-1 is included in the research. It is possible that it would not include all aspects of the country's first satellite because doing so will be too time intensive and unclear. Furthermore, the data collection process was halted due to the Covid-19 epidemic, which made conducting a printed survey method impractical. We have fixated on the Bangabandhu Satellite-1 in depth. The motivating forces for us are technical, socioeconomic, and resource availability. The principle of satellites was first adopted. Afterwards, we included an outline of satellite communication systems along with various satellite types. We largely focused on its various facets, benefits, and drawbacks. The standing of the Bangabandhu Satellite-2 was also distinguished. The thesis winds down with rational conclusions and debate. It clearly highlights the potential of the Bangabandhu Satellite-2.

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Sunandar, Endang, and Indrianto Indrianto. "Implementasi Algoritma Bubble Sort Terhadap 2 Buah Model Varian Pengurutan Data Menggunakan Bahasa Program Java." PETIR 13, no. 2 (2020): 255–65. http://dx.doi.org/10.33322/petir.v13i2.1008.

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In the field of computer science the efforts made in solving a problem are to use systematic, logical, and strategic flow and steps. These steps are known as algorithms. So many algorithms exist for solving a particular problem. In connection with this paper the algorithm discussed is about the data sorting algorithm, among the few known are: Merge, Selection, Insertion, Bubble, Quick, Heap, Shell. All of these algorithms have advantages and disadvantages of each. One interesting algorithm to be implemented on 2 models of data sorting variants is the Bubble Sort algorithm, the reason is that this algorithm has a fairly long and detailed process flow to produce sequential data sequences from previously unsordered data sequences. And the purpose of implementing them using the language of the program is to be able to provide a translation picture of a complicated and long Bubble Sort algorithm that becomes easier and concise to solve using the program language, which in this case uses the Java program language. For ascending sequencing moving from left to right the method is by shifting the larger values to the right position in sequence, so that finally the smaller values are on the left, whereas for descending sorting moving from left to right the method is by shifting the smaller values to the right position in sequence, so that finally the larger values are on the left. And the programming technique differs only in relation operators that are used against the data being compared.

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Rana, Muhammad Masud, S. M. Azharul Islam, M. Moinul Islam, Md Shakilur Rahman, Sarwar Alam, and M. A. Bari. "Comparison of 3DCRT Dose Distribution in Radiotherapy for Lung Cancer Patient by Using AAA and PBC Algorithms." International Letters of Chemistry, Physics and Astronomy 68 (July 2016): 54–60. http://dx.doi.org/10.18052/www.scipress.com/ilcpa.68.54.

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The Pencil Beam Convolution (PBC) algorithm in radiation treatment planning system is widely used to calculate the radiation dose distribution in radiotherapy planning. A new photon dose calculation algorithm known as Anisotropic Analytical Algorithm (AAA) by Varian Medical Systems is applied to investigate the difference of dose distribution by using AAA and PBC algorithms for the lung cancer with an inhomogeneity of its low density. In the present work, radiotherapy treatment planning of 10 lung cancer patients are designed with 6 MV photon beam using three-dimensional conformal radiation therapy (3DCRT) and dose distribution was calculated by the AAA and the PBC Algorithms. The dose distribution performance is evaluated by dose profile curve along transversal slice of PTV and Dose Volume Histogram (DVH) covered by the 95% isodose of PTV. The mean dose of organ at risks did not changed significantly but the volume of the PTV covered by the 95% isodose curve was decreased by 6% with inhomogeneity due to the algorithms. The dose distribution and the accuracy in calculating the absorbed dose of the AAA algorithm of the Varian Eclipse treatment planning system is analyzed and discussed.

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Rana, Muhammad Masud, S. M. Azharul Islam, M. Moinul Islam, Md Shakilur Rahman, Sarwar Alam, and M. A. Bari. "Comparison of 3DCRT Dose Distribution in Radiotherapy for Lung Cancer Patient by Using AAA and PBC Algorithms." International Letters of Chemistry, Physics and Astronomy 68 (July 19, 2016): 54–60. http://dx.doi.org/10.56431/p-38s75r.

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The Pencil Beam Convolution (PBC) algorithm in radiation treatment planning system is widely used to calculate the radiation dose distribution in radiotherapy planning. A new photon dose calculation algorithm known as Anisotropic Analytical Algorithm (AAA) by Varian Medical Systems is applied to investigate the difference of dose distribution by using AAA and PBC algorithms for the lung cancer with an inhomogeneity of its low density. In the present work, radiotherapy treatment planning of 10 lung cancer patients are designed with 6 MV photon beam using three-dimensional conformal radiation therapy (3DCRT) and dose distribution was calculated by the AAA and the PBC Algorithms. The dose distribution performance is evaluated by dose profile curve along transversal slice of PTV and Dose Volume Histogram (DVH) covered by the 95% isodose of PTV. The mean dose of organ at risks did not changed significantly but the volume of the PTV covered by the 95% isodose curve was decreased by 6% with inhomogeneity due to the algorithms. The dose distribution and the accuracy in calculating the absorbed dose of the AAA algorithm of the Varian Eclipse treatment planning system is analyzed and discussed.

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Çelen, Yonca Yahşi, and Atilla Evcin. "Comparison of Different Algorithms in the Radiotherapy Plans of Breast Cancer." ITM Web of Conferences 22 (2018): 01048. http://dx.doi.org/10.1051/itmconf/20182201048.

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It is aimed to evaluate portal dosimetry results of planned breast cancer patients with intensity-modulated radiotherapy (YART) of Anisotropic Analytical Algorithm (AAA) and Pencil Beam Convolution (PBC) dose calculation algorithms. The plans of 10 treated patients will receive 6 MV photon energy and a total of 25 fractions of 50 Gray dose using the inverse YART technique, which is reverse planned in the Eclipse (ver.13.6) treatment planning system with Varian Trilogy Linear Accelerator prescribing. For each plan, dose was calculated after optimization using PBC and then AAA algorithms. The quality controls of the plans were made using the Electronic Portal Imaging Device (EPID) by creating individual verification plans for each algorithm. In addition, the maximum and average dose values in the target volume were compared in inverse YART plans calculated using PBC and AAA. When treatment plans generated by AAA and PBC dose calculation algorithms are analyzed using EPID, for the PBC algorithm, the mean values of VArea and VAvg are 98.15 ± 1.07, 0.40 ± 0.048 and 98.72 ± 1.13, 0.37 ± 0.051, respectively, for the AAA algorithm. The PTV Dmax value for the PBC algorithm is 109.3 ± 1.09 and the DAvg value is 101.7 ± 0.51. For the AAA algorithm, the PTV Dmax value is 110.6 ± 1.12 and the DAvg value is 102.9 ± 0.62. When the mean values of portal dosimetry VArea and VAvg evaluated using PBC and AAA algorithms were compared, the differences between the algorithms were not statistically significant (p> 0.05). Differences between the algorithms for PTV Dmax and DAvg values are not statistically significant (p> 0.05).

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Malhotra Aman Singh, Mini. "Study of Various Cryptographic Algorithms." International Journal of Scientific Engineering and Research 1, no. 3 (2013): 77–88. https://doi.org/10.70729/j201341.

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Khan, Beenish, Ms Poonam, and Mr Mohammad Talib. "Matlab Based Image Compression Using Various Algorithm." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 1638–42. http://dx.doi.org/10.31142/ijtsrd14394.

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Dr., Saeed Q. Al-Khalidi Al-Maliki, Prakash Kuppuswamy Dr., Rajan John Dr., and Nithya Rekha Sivakumar Dr. "COVID-19: An Efficient Big Data Analytics for SARS-CoV-2 Mutations Prediction: A Machine Learning Approach." Indian Journal of Science and Technology 15, no. 21 (2022): 1022–31. https://doi.org/10.17485/IJST/v15i21.374.

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Abstract Objectives: This research article aims to identify the level of further mutations of COVID-19 and its vulnerability. Healthcare workers are urged to take precautionary measures to prevent further damage to their community and to avoid further human deaths. At this stage, it is crucial to study, analyze, and understand the COVID-19 variant mutation. Methods: The mutation of COVID- 19, however, has not yet been validated for the way in which it affects the risk of underlying comorbidities. It may be possible to tackle this challenge by using artificial intelligence, machine learning, and deep learning algorithms. We have used the J48 algorithm and the Linear Regression algorithm. These algorithms were then analyzed based on the accuracy they provided after running them in the output window of WEKA data mining. Findings: In this paper, machine learning is used to help clinicians and medical researchers understand COVID- 19 variant mutations at various stages. Artificial intelligence-based algorithms provide a better understanding of COVID-19 stages and vulnerability levels. Novelty: Artificial intelligence can be a valuable tool for healthcare operations in this pandemic situation. Moreover, healthcare professionals and a data analysis algorithm will probably arrive at the same conclusion based on the data set. However, the use of machine learning-based techniques described in this article will allow for quicker and earlier diagnosis of any type of pandemic situation in the future. Keywords: COVID19; Machine Learning; Mutation; Variant; Coronavirus; SARSCoV2; Prediction algorithm etc

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Hsien-Wen Cheng and Lan-Rong Dung. "A Vario-power ME architecture using content-based subsample algorithm." IEEE Transactions on Consumer Electronics 50, no. 1 (2004): 349–54. http://dx.doi.org/10.1109/tce.2004.1277884.

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Palupi, Lydia, Eko Ihsanto, and Fifto Nugroho. "Analisis Validasi dan Evaluasi Model Deteksi Objek Varian Jahe Menggunakan Algoritma Yolov5." Journal of Information System Research (JOSH) 5, no. 1 (2023): 234–41. http://dx.doi.org/10.47065/josh.v5i1.4380.

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Object detection is one of the important techniques in the field of computer vision and image processing. In this study, a validation and evaluation analysis of the object detection model of ginger variants using the YOLOv5 algorithm with a Convolutional Neural Network (CNN) approach was carried out. The dataset used consists of various ginger variants taken from several sources. The dataset is divided into two parts, namely the training data and the testing data. Model training is carried out on the training data using the YOLOv5 algorithm with a CNN approach. Testing is carried out on the testing data to measure the model's performance in detecting ginger variants. The analysis results showed that the object detection model of ginger variants using the YOLOv5 algorithm with a CNN approach can provide quite accurate results with a detection accuracy rate of 93,9%, So, the detection of ginger variants can be a useful recommendation as a means of varieties authenticity verification utilizing diverse ginger variants. However, there were several challenges faced in processing the dataset, such as variations in lighting and different angles of image capture. Therefore, this study provides recommendations for improving the dataset and optimizing parameter settings to improve the performance of the object detection model of ginger variants using the YOLOv5 algorithm with a CNN approach.

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Grover, Nidhi. "A study of various Fuzzy Clustering Algorithms." International Journal of Engineering Research 3, no. 3 (2014): 177–81. http://dx.doi.org/10.17950/ijer/v3s3/310.

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Nischay Sai, Cherukuri. "A Comprehensive Study of Various Sorting Algorithms." International Journal of Science and Research (IJSR) 10, no. 11 (2021): 1044–52. https://doi.org/10.21275/sr211114140358.

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Tiwari, Anchal, Ankit Gupta, Alok Patel, Rajeshri Lanjewar, and Phanish Kumar Sahu. "Pathfinder Pro: Implementation of Various Pathfinding Algorithms." International Journal of Research Publication and Reviews 6, no. 5 (2025): 4501–7. https://doi.org/10.55248/gengpi.6.0525.1735.

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Talunohi, Iwada Grawilser, Ibnu Jaki Lubis, Sutarman Sutarman, and Ade Candra. "Performance Comparison Analysis of Multi Prime RSA and Multi Power RSA." CESS (Journal of Computer Engineering, System and Science) 8, no. 2 (2023): 576. http://dx.doi.org/10.24114/cess.v8i2.47350.

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Saat ini cukup banyak algoritma yang digunakan untuk pengamanan informasi dalam sistem atau perangkat lunak. Masing-masing algoritma tersebut memiliki tingkat waktu dalam key generate, enrkripsi dan dekripsi yang berbeda-beda. Dalam menggunakan algoritma tersebut harus mempertimbangkan waktu jika ingin menerapkan dalam suatu sistem atau perangkat lunak. Dalam penelitian ini, akan melakukan perbandingan kinerja dari dua algoritma asimetris yaitu Multi Power RSA dan Multi Prime RSA yang masing-masing merupakan varian dari RSA. Algoritma ini terdiri dari 2 kunci yaitu kunci publik dan kunci privat. Pengujian algoritma tersebut akan dilakukan dalam bahasa python. Kesimpulan yang didapat adalah algoritma Multi Prime RSA lebih cepat di bandingkan dengan Multi Power RSA dalam proses enkripsi dan dekripsi. Multi Power RSA lebih cepat dari Multi Prime RSA dalam proses key generate.Currently, quite a lot of algorithms are used to secure information in systems or software. Each of these algorithms has a different level of speed (time) in key generation, encryption and decryption. In using the algorithm must consider speed (time) if you want to implement it in a system or software. In this study, we will compare the performance of two asymmetric algorithms, namely Multi Power RSA and Multi Prime RSA, each of which is a variant of RSA. This algorithm consists of 2 keys, namely the public key and the private key. Testing the algorithm will be carried out in Python. The conclusion obtained is that the Multi Prime RSA algorithm is faster than the Multi Power RSA in the encryption and decryption process. Multi Power RSA is faster than Multi Prime RSA in the key generation process.

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Graul, Isabel, Ivan Marintschev, Sascha Rausch, Niklas Eckart, Gunther O. Hofmann, and Florian Gras. "Effect of different multiplanar reformation algorithms on image quality of intraoperative three-dimensional fluoroscopy." Journal of Hand Surgery (European Volume) 44, no. 7 (2019): 738–44. http://dx.doi.org/10.1177/1753193419848963.

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Different multiplanar reformation (MPR-512 and -256) algorithms of intraoperative acquired 3-D-fluoroscopy data exist without recommendations for use in the literature. To compare algorithms, 3-D-fluoroscopic data sets of 46 radius fractures were blinded and processed using MPR-256 and -512 (Ziehm, Vision-Vario 3D). Each reformatted data set was analysed to evaluate image quality, fracture reduction quality and screw misplacements. Overall image quality was higher rated in the MPR-512 compared with the MPR-256 (3.2 vs. 2.2 points, scale 1–5 points), accompanied by a reduced number of scans that could not be analysed (10 vs. 19%). Interobserver evaluation of fracture reduction quality was fair to moderate (independent of the algorithm). In contrast, for screw misplacements MPR-depended ratings were found (MPR-256: fair to moderate; MPR-512: moderate to substantial). Optimization of post-processing algorithms, rather than modifications of image acquisition, may increase the image quality for assessing implant positioning, but limitations in evaluating fracture reduction quality still exist.

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A, Ms Vidhya, Dr Parameswari R, and Ms Sathya S. "Brain Tumor Classification Using Various Machine Learning Algorithms." International Journal of Research in Arts and Science 5, Special Issue (2019): 258–70. http://dx.doi.org/10.9756/bp2019.1002/25.

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Prof., Grand Ph.D in Medical Sciences Admakin O. I. Dolgopolova M.V. Gutnikova T.S. Vinogradova M.V. "COMPARISON OF EFFECTIVE USE OF VARIOUS ORAL HYGIENE PRODUCTS." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES 05, no. 11 (2018): 11703–8. https://doi.org/10.5281/zenodo.1481775.

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Due to insufficient dental education of the population, the percentage of caries prevalence reaches almost 100%. In studies conducted in recent years, the combination of basic and additional oral hygiene products usage, as well as the determination of the most effective algorithm for preventing the development of caries of contact and chewing surfaces, has been insufficiently covered. The article considers and compares two algorithms for individual oral hygiene: using a manual toothbrush and dental floss; using a manual toothbrush and irrigator. The study was carried out in two stages: conducting a medical and social research among students of the dental faculty and the clinical stage with the definition of hygiene indices (PHP, Quigley-Hein in Turesky modification) after performing each individual oral hygiene algorithm. The results showed insufficient awareness of the need to use additional products for oral hygiene among students of the dental faculty. According to the results of the study, the “manual toothbrush + irrigator” algorithm was considered to be the most effective way of everyday hygienic oral care in order to prevent caries of the chewing and approximate tooth surfaces.

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Hassan, G. S., Saleh A. Mohamed, and Khaled M. Elshahat. "Evaluation of Calculation Algorithms for photon Beam dose in Heterogeneous Medium." JOURNAL OF ADVANCES IN PHYSICS 9, no. 2 (2015): 2378–87. http://dx.doi.org/10.24297/jap.v9i2.1405.

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The success of the implementations of a radiotherapy treatment planning system is determined by the ability of the dose calculation algorithms to reproduce the algorithm input data, and in most cases the agreement was found within Â±2%. Varian linear accelerator DMX, TPS Eclipse (version 10.33) is used and absolute dosimetry and relative dosimetry system (PTW, Freiburg, Germany) and 2D array were also used. The Calculation of Analytical Anisotropic Algorithm (AAA) is more accurate than the Pencil beam Algorithm (PBC) in heterogeneity medium in comparison with practical measurement. The extent of the effort required to carry out a validation study of the complexity of that described here precludes its use as a routine component of TPS commissioning. Our realistic recommendation is that commissioning includes tests aimed at confirming that raw beam data have been entered correctly and that the operation of the system is understood. Finally, the study tell us that the observed deviations between TPS calculated using Eclipse version 10.33 and measured dose in the present of heterogeneous medium are well within the tolerance levels and the study also show that the use of Eclipse (version 10.33) TPS, AAA algorithm records significant improvement than the previous TPS versions especially in the present of low density inhomogeneity.

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Chauhan, Rajat, Nagwa El-Baz, Robert S. Keynton, et al. "Targeted Gold Nanoparticle–Oligonucleotide Contrast Agents in Combination with a New Local Voxel-Wise MRI Analysis Algorithm for In Vitro Imaging of Triple-Negative Breast Cancer." Nanomaterials 9, no. 5 (2019): 709. http://dx.doi.org/10.3390/nano9050709.

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Gold nanoparticles (GNPs) have tremendous potential as cancer-targeted contrast agents for diagnostic imaging. The ability to modify the particle surface with both disease-targeting molecules (such as the cancer-specific aptamer AS1411) and contrast agents (such as the gadolinium chelate Gd(III)-DO3A-SH) enables tailoring the particles for specific cancer-imaging and diagnosis. While the amount of image contrast generated by nanoparticle contrast agents is often low, it can be augmented with the assistance of computer image analysis algorithms. In this work, the ability of cancer-targeted gold nanoparticle–oligonucleotide conjugates to distinguish between malignant (MDA-MB-231) and healthy cells (MCF-10A) is tested using a T1-weighted image analysis algorithm based on three-dimensional, deformable model-based segmentation to extract the Volume of Interest (VOI). The gold nanoparticle/algorithm tandem was tested using contrast agent GNP-Gd(III)-DO3A-SH-AS1411) and nontargeted c-rich oligonucleotide (CRO) analogs and control (CTR) counterparts (GNP-Gd(III)-DO3A-SH-CRO/CTR) via in vitro studies. Remarkably, the cancer cells were notably distinguished from the nonmalignant cells, especially at nanomolar contrast agent concentrations. The T1-weighted image analysis algorithm provided similar results to the industry standard Varian software interface (VNMRJ) analysis of T1 maps at micromolar contrast agent concentrations, in which the VNMRJ produced a 19.5% better MRI contrast enhancement. However, our algorithm provided more sensitive and consistent results at nanomolar contrast agent concentrations, where our algorithm produced ~500% better MRI contrast enhancement.

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Mbewe, Jonathan, and Sakhele Shiba. "Dosimetric Comparison between Varian Halcyon Analytical Anisotropic Algorithm and Acuros XB Algorithm for Planning of RapidArc Radiotherapy of Cervical Carcinoma." Progress in Medical Physics 32, no. 4 (2021): 130–36. http://dx.doi.org/10.14316/pmp.2021.32.4.130.

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Hu, Yunfei, Marius Arnesen, and Trent Aland. "Characterization of an advanced cone beam CT (CBCT) reconstruction algorithm used for dose calculation on Varian Halcyon linear accelerators." Biomedical Physics & Engineering Express 8, no. 2 (2022): 025023. http://dx.doi.org/10.1088/2057-1976/ac536b.

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Abstract In this study, the performance of a new iterative reconstruction algorithm, the pre-clinical AcurosXB iCBCT algorithm, has been characterized on Varian Halcyon linear accelerators with respect to the potential of radiotherapy dose calculations on CBCT images. The study utilized various phantom setups to verify the accuracy of the pre-clinical algorithm under different scatter conditions and compared dose calculations performed on CBCT images reconstructed with the pre-clinical algorithm to those performed on typical planning CT images. The results indicated that despite showing improvements compared to the existing iCBCT protocol, certain restrictions should be introduced when the pre-clinical AcurosXB iCBCT algorithm was used for dose calculations. Changes in the scatter condition exhibited a larger effect on CBCTs than on planning CTs. Therefore, users should be careful in offsetting the patient and positioning the patient’s arms if the resultant images will be used for dose calculations. In addition, protocols with different kV settings should be approached with caution, where 100 kV protocols should only be used to scan the head and neck area, while the rest of the body should be scanned with the 125 kV and 140 kV protocols. When the patient is set up properly and the appropriate energy is selected for the anatomical area, the uncertainty of using the novel AcurosXB iCBCT algorithm for treatment planning dose calculation is within ±2.0%.

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Lebedenko, I. M., Yu A. Kudashkina, I. A. Gladilina, and M. V. Chernykh. "Comparative Evaluation of the Quality of Irradiation Planning for Esophageal Cancer at the Clinical Accelerators Clinac iX and Halcyon." Journal of oncology: diagnostic radiology and radiotherapy 6, no. 4 (2023): 77–86. http://dx.doi.org/10.37174/2587-7593-2023-6-4-77-86.

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Purpose: To compare the quality of irradiation planning for patients with esophageal cancer using Clinac iX (Varian) electron accelerators with external gantry and Halcyon (Varian). Compare quantitative indicators of irradiation plans for different algorithms and versions. Material and methods: A comparative assessment of the quality of irradiation planning for 90 patients with cancer of the esophagus was carried out using the indices of dose homogeneity and conformity within the target according to the data of dose-volume histograms and dose loads on critical organs. The comparison was carried out for two models of accelerators Clinac iX (Varian) with an external gantry and tunnel type Halcyon (Varian). The results of calculations of irradiation plans using different versions and algorithms for calculating planning systems are compared. Results: A comparison of the quantitative characteristics of the exposure plans made it possible to designate the IMRT technology as the preferred one in the treatment of esophageal cancer using accelerators of both types, with external and built-in gantry. At the same time, the influence of calculation algorithms and versions of the SP on the indices of homogeneity, conformity and dose loads on critical organs is not expressed, and the calculation results are comparable within the error.

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G.B., Hema Malini. "Comparative Analysis of Various Feature Extracting Algorithms Using Satellite Images." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 545–52. http://dx.doi.org/10.5373/jardcs/v12sp7/20202138.

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Baker, Ellen. "Dosimetric comparison of clinical plans re-calculated using V11 and V16 of Varian AAA algorithm." Physica Medica 118 (February 2024): 103268. http://dx.doi.org/10.1016/j.ejmp.2024.103268.

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Lestari, Sesa Tri, and Caturiyati Caturiyati. "OPTIMASI MODEL INTEGER LINEAR PROGRAMMING PADA PRODUKSI GETUK GORENG MENGGUNAKAN ALGORITMA B&B." Jurnal Kajian dan Terapan Matematika 9, no. 1 (2023): 1–13. https://doi.org/10.21831/jktm.v9i1.19327.

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AbstrakPenelitian ini bertujuan untuk merumuskan pemodelan matematika dari produksi getuk goreng Nanang Putra dengan integer linear progamming. Algoritma BB (Branch and Bound) merupakan salah satu metode penyelesaian optimum integer linear programming yang menghasilkan variabel-variabel keputusan integer. Berdasarkan hasil penelitian, keuntungan maksimum dalam sehari yang diperoleh produsen getuk goreng Nanang Putra menggunakan algoritma BB (Branch and Bound) adalah sebesar dengan banyaknya produksi getuk goreng varian original sebanyak 200 besek, varian nangka sebanyak 146 besek, dan varian durian sebanyak 254 besek. Kata Kunci: Optimasi, Produksi, Integer Linear Programming, BB, Branch and Bound AbstractThis research aims to formulate mathematical modeling of Nanang Putra's fried getuk production with integer linear programming. The BB (Branch and Bound) algorithm is one of the integer linear programming optimum solution methods that produce integer decision variables. Based on the results of the study, the maximum profit in a day obtained by the fried getuk producer Nanang Putra using the BB (Branch and Bound) algorithm is Rp 5,990,358.00 with the amount of production of fried getuk original variant of 200 baskets, jackfruit variant of 146 baskets, and durian variant of 254 baskets. Keywords: Optimization, Production , Integer Linear Programming, BB, Branch and Bound

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Behinaein, Sepideh, Ernest Osei, Johnson Darko, Paule Charland, and Dylan Bassi. "Evaluating small field dosimetry with the Acuros XB (AXB) and analytical anisotropic algorithm (AAA) dose calculation algorithms in the eclipse treatment planning system." Journal of Radiotherapy in Practice 18, no. 4 (2019): 353–64. http://dx.doi.org/10.1017/s1460396919000104.

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AbstractBackground:An increasing number of external beam treatment modalities including intensity modulated radiation therapy, volumetric modulated arc therapy (VMAT) and stereotactic radiosurgery uses very small fields for treatment planning and delivery. However, there are major challenges in small photon field dosimetry, due to the partial occlusion of the direct photon beam source’s view from the measurement point, lack of lateral charged particle equilibrium, steep dose-rate gradient and volume averaging effect of the detector response and variation of the energy fluence in the lateral direction of the beam. Therefore, experimental measurements of dosimetric parameters such as percent depth doses (PDDs), beam profiles and relative output factors (ROFs) for small fields continue to be a challenge.Materials and Methods:In this study, we used a homogeneous water phantom and the heterogeneous anthropomorphic stereotactic end-to-end verification (STEEV) head phantom for all dose measurements and calculations. PDDs, lateral dose proﬁles and ROFs were calculated in the Eclipse Treatment Planning System version 13·6 using the Acuros XB (AXB) and the analytical anisotropic algorithms (AAAs) in a homogenous water phantom. Monte Carlo (MC) simulations and measurements using the Exradin W1 Scintillator were also accomplished for four photon energies: 6 MV, 6FFF, 10 MV and 10FFF. Two VMAT treatment plans were generated for two different targets: one located in the brain and the other in the neck (close to the trachea) in the head phantom (CIRS, Norfolk, VA, USA). A Varian Truebeam linear accelerator (Varian, Palo Alto, CA, USA) was used for all treatment deliveries. Calculated results with AXB and AAA were compared with MC simulations and measurements.Results:The average difference of PDDs between W1 Exradin Scintillator measurements and MC simulations, AAA and AXB algorithm calculations were 1·2, 2·4 and 3·2%, respectively, for all field sizes and energies. AXB and AAA showed differences in ROF of about 0·3 and 2·9%, respectively, compared with W1 Exradin Scintillator measured values. For the target located in the brain in the head phantom, the average dose difference between W1 Exradin Scintillator and the MC simulations, AAA and AXB were 0·2, 3·2 and 2·7%, respectively, for all field sizes. Similarly, for the target located in the neck, the respective dose differences were 3·8, 5·7 and 3·5%.Conclusion:In this study, we compared dosimetric parameters such as PDD, beam profile and ROFs in water phantom and isocenter point dose measurements in an anthropomorphic head phantom representing a patient. We observed that measurements using the W1 Exradin scintillator agreed well with MC simulations and can be used efficiently for dosimetric parameters such as PDDs and dose profiles and patient-specific quality assurance measurements for small fields. In both homogenous and heterogeneous media, the AXB algorithm dose prediction agrees well with MC and measurements and was found to be superior to the AAA algorithm.

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Sansourekidou, P., and C. Allen. "SU-E-T-405: Evaluation of the Raystation Electron Monte Carlo Algorithm for Varian Linear Accelerators." Medical Physics 42, no. 6Part18 (2015): 3427. http://dx.doi.org/10.1118/1.4924766.

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Cozzi, Luca, Giorgia Nicolini, Eugenio Vanetti, et al. "Basic dosimetric verification in water of the anisotropic analytical algorithm for Varian, Elekta and Siemens linacs." Zeitschrift für Medizinische Physik 18, no. 2 (2008): 128–35. http://dx.doi.org/10.1016/j.zemedi.2007.09.003.

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Serban, M., R. Ruo, A. Sarfehnia, W. Parker, and M. Evans. "Poster - Thur Eve - 45: Commissioning of the Varian ECLIPSE eMC algorithm for clinical electron treatment planning." Medical Physics 39, no. 7Part3 (2012): 4633. http://dx.doi.org/10.1118/1.4740153.

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Acar, Hilal, Mustafa Caglar, and Ayse Y. Altinok. "Experimental validatıon of peripheral dose distribution of electron beams for eclipse electron Monte Carlo algorithm." Journal of Radiotherapy in Practice 17, no. 3 (2018): 279–88. http://dx.doi.org/10.1017/s1460396917000784.

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AbstractAimThe accuracy of two calculation algorithms of the Varian Eclipse treatment planning system (TPS), the electron Monte Carlo algorithm (eMC) and general Gaussian pencil beam algorithm (GGPB) for calculating peripheral dose distribution of electron beams was investigated.MethodsPeripheral dose measurements were carried out for 6, 9, 12, 15, 18 and 22 MeV electron beams using parallel plate ionisation chamber and EBT3 film in the slab phantom. Measurements were performed for 6×6, 10×10 and 25×25 cm2 cone sizes at dmax of each energy up to 20 cm beyond the field edges. The measured and TPS calculated data were compared.ResultsThe TPS underestimated the out-of-field doses. The difference between measured and calculated doses increase with the cone size. For ionisation chamber measurement, the largest deviation between calculated and measured doses is <4·29% using the eMC, but can increase up to 8·72% of the distribution using GGPB. For film measurement, the minimum gamma analysis passing rates between measured and calculated dose distributions for all field sizes and energies used in this study were 91·2 and 74·7% for eMC and GGPB, respectively.FindingsThe use of GGPB for planning large field treatments with 6 MeV could lead to inaccuracies of clinical significance.

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Darmawan, Mohamad Riza, and Setyawan Wibisono. "Deteksi Dini Varian Covid-19 Dengan Metode CBR-AHP Dan Sorgenfrei." Pixel :Jurnal Ilmiah Komputer Grafis 15, no. 1 (2022): 132–41. http://dx.doi.org/10.51903/pixel.v15i1.747.

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The case fatality rate caused by Covid-19 in Indonesia is around 2.9%. The death rate by age group is from all Covid-19 patients who died, including 0.5% aged 0-5 years, 0.5% aged 6-18 years, 2.8% aged 19-30 years, 12.7 % were aged 31–45 years, 36.8% were aged 46–59 years, and 46.7% were aged 60 years and over. With the large number of cases that occurred in Indonesia, it turned out to be due to the lack of proper handling of the early symptoms of the Covid-19 virus. To overcome this, it is needed as a tool for early detection of the Covid-19 variant by using the CBR-AHP expert system with the Sorgenfrei algorithm. The results of the consultation for the early detection of the Covid-19 variant were obtained from the highest similarity value of Sorgenfrei. Of all the variants found above, the highest similarity value of Sorgenfrei is Omicron with a similarity of 1,000. Omicron has the highest value because it has a value of a, which is the same symptom between old cases and large new cases.

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Rodríguez Garcia, Arturo Benito, Leonardo Juan Ramirez Lopez, and Jaime César Espinoza Oyarzún. "RWA: Optical Networks with Heuristics Algorithms." DYNA 83, no. 199 (2016): 165. http://dx.doi.org/10.15446/dyna.v83n199.53832.

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El aumento de la demanda en el transporte de datos a través de las redes ópticas WDM (Wavelength Division Multiplexing) ha llevado a nuevos problemas relacionados con la búsqueda de rutas y la asignación de longitudes de onda en estas redes, estos problemas se resuelven a través de procesos algorítmicos que pueden ser convencionales o heurísticos. Los algoritmos convencionales sólo satisfacen los requerimientos en condiciones de tráfico estático. Sin embargo, los algoritmos heurísticos pueden ser procesados en escenarios de tráfico dinámico. Este documento propone una estrategia global para hacer frente al DLE (Establecimiento de Caminos de Luz dinámicos), es decir, sin dividir el problema, utilizando varios algoritmos heurísticos. Los resultados mostrados indican que los algoritmos heurísticos responden mejor bajo estrés en escenarios dinámicos, pero con un uso de la red alto.

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Villani, Daniel, Carolina Dos Santos Moreno, Roberto Kenji Sakuraba, and Letícia Lucente Campos. "Application of OSL dosimetry and 3D printed phantom for comparison of calculation algorithms for VMAT treatment planning." QUARKS: Brazilian Electronic Journal of Physics, Chemistry and Materials Science 1, no. 1 (2019): 30–39. http://dx.doi.org/10.34019/2674-9688.2019.v1.28227.

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The application of new commercial and industrial technologies in the fields of dosimetry and medical physics is of great interest to the scientific community, both to validate existing protocols and to develop new methodologies. The popularization of 3D printing techniques has been analyzed as a great advantage in quality control in complex treatment techniques, such as radiotherapy and the development of patient simulators. Portable dosimetry systems such as Landauer MicroStar OSL system are versatile and their use in quality control is of great importance. The aim of this paper is to compare two of the most used dose calculation algorithms used in Varian Eclipse TPS – AAA and Acuros XB – for treatment planning of multiple brain metastases using a 3D printed anthropomorphic phantom and the OSL InLight system for experimental dosimetry validation. A 3D printed anthropomorphic skull phantom was submitted to a CT scan and planed five target volumes. In order of comparison, two dose calculations were performed in the Varian Eclipse 13.6 TPS with "Alabama technique", using the Varian’s AAA and AXB algorithms, and treatment delivered with 6 MV photon beam of a Varian TrueBeam linear accelerator. Landauer nanoDot dosimeters were positioned inside each of the five target volumes planned and the experimental dosimetric results were compared with the algorithms’ calculated doses. The findings of this work indicate that ACUROS XB calculates more accurate doses compared with AAA, with all the experimental agreements better than 96.0 %, probably because of the heterogeneity corrections. The uncertainty analysis of the InLight system device is enough to sustain the dosimetric uncertainties below 3.0 %, validating the results.

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Deepa, K., and N. Sujatha. "Analysis and Detection of Weeds in Agricultural Area using various Image Segmentation Algorithms." International Journal of Scientific Engineering and Research 5, no. 7 (2017): 256–60. https://doi.org/10.70729/ijser171697.

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Meza Álvarez, Joaquín Javier, Juan Manuel Cueva Lovelle, and Helbert Eduardo Espitia. "REVISIÓN SOBRE ALGORITMOS DE OPTIMIZACIÓN MULTI-OBJETIVO GENÉTICOS Y BASADOS EN ENJAMBRES DE PARTÍCULAS." Redes de Ingeniería 6, no. 2 (2016): 54. http://dx.doi.org/10.14483/udistrital.jour.redes.2015.2.a06.

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El enfoque evolutivo como también el comportamiento social han mostrado ser una muy buena alternativa en los problemas de optimización donde se presentan varios objetivos a optimizar. De la misma forma, existen todavía diferentes vias para el desarrollo de este tipo de algoritmos. Con el fin de tener un buen panorama sobre las posibles mejoras que se pueden lograr en los algoritmos de optimización bio-inspirados multi-objetivo es necesario establecer un buen referente de los diferentes enfoques y desarrollos que se han realizado hasta el momento.En este documento se revisan los algoritmos de optimización multi-objetivo más recientes tanto genéticos como basados en enjambres de partículas. Se realiza una revisión critica con el fin de establecer las características más relevantes de cada enfoque y de esta forma identificar las diferentes alternativas que se tienen para el desarrollo de un algoritmo de optimización multi-objetivo bio-inspirado.Review about genetic multi-objective optimization algorithms and based in particle swarmABSTRACTThe evolutionary approach as social behavior have proven to be a very good alternative in optimization problems where several targets have to be optimized. Likewise, there are still different ways to develop such algorithms. In order to have a good view on possible improvements that can be achieved in the optimization algorithms bio-inspired multi-objective it is necessary to establish a good reference of different approaches and developments that have taken place so far. In this paper the algorithms of multi-objective optimization newest based on both genetic and swarms of particles are reviewed. Critical review in order to establish the most relevant characteristics of each approach and thus identify the different alternatives have to develop an optimization algorithm multi-purpose bio-inspired design is performed.Keywords: evolutionary computation, evolutionary multi-objective optimization.

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Sari, Elisa Puspita, Yani Maulita, and Milli Alfhi Syari. "Application of the K-Means Algorithm in Traffic Violations In Langkat District (Case Study: Langkat Police)." Indonesian Journal of Education And Computer Science 1, no. 2 (2023): 30–36. http://dx.doi.org/10.60076/indotech.v1i2.50.

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Aktivitas masyarakat berhubungan dengan lalu lintas dan masyarakat lebih memilih menggunakan kendaraan. Rendahnya edukasi serta minim pemahaman tentang peraturan lalu lintas menyebabkan banyak pelanggaran. Meningkatnya jumlah pelanggar lalu lintas menyebabkan meningkatnya data pelanggaran lalu lintas. Banyaknya data pelanggaran lalu lintas menyebabkan terjadinya penumpukan data pada instansi. Maka diperlukan suatu pengolahan data dengan data mining menggunakan Algoritma K-Means. Hasil penelitian diketahui kelompok data pelanggaran lalu lintas yang memiliki kelompok paling tinggi dan paling sering muncul saat diproses yaitu usia 17-25 tahun, dengan kendaraan Honda Vario 150 dan bukti pelanggaran SIM dan STNK. Hasil pengujian 3 cluster dari 502 data pelanggaran diketahui yaitu cluster 1 kelompok data pelanggaran lalu lintas usia 26-45 tahun jenis kendaraan Honda CBR 250 dan bukti pelanggaran SIM dan STNK. Cluster 2 kelompok data pelanggaran lalu lintas usia 26-45 tahun dengan jenis kendaraan Suzuki Nex dengan bukti pelanggaran SIM dan boncengan lebih dari 1. Cluster 3 yaitu kelompok data pelanggaran lalu lintas usia 17-25 tahun, dengan jenis kendaraan Honda Vario 150 dan bukti pelanggaran SIM.

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García-Cervantes, Daniel Alberto, Joseph Daniel Pineda-Sandoval, Daniel Hernández-Cervantes, Xitlali Delgado-Galván, Gilberto Carreño-Aguilera, and Jesús Mora-Rodríguez. "Calibración de modelo de cloro mediante algoritmos genéticos en red de agua potable de Guanajuato." Tecnología y ciencias del agua 15, no. 2 (2024): 248–303. http://dx.doi.org/10.24850/j-tyca-15-02-06.

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La concentración de cloro como desinfectante suministrado a la red de distribución de agua decae con el paso del tiempo debido a su interacción con microorganismos, metales y otras sustancias presentes en el agua. Los programas de computadora, como Epanet, se utilizan para simular el comportamiento hidráulico y la calidad del agua en las redes de distribución; con su ayuda se pueden representar modificaciones físicas y operativas en un modelo numérico para conocer el nuevo comportamiento sin comprometer la calidad del servicio. La calibración del modelo de cloro como desinfectante consiste en tomar como referencia la concentración en varios puntos de la red y ajustar los coeficientes de decaimiento en el modelo hasta lograr que las concentraciones simuladas coincidan con las medidas. En el presente artículo se muestra la automatización de este proceso haciendo uso de la técnica heurística algoritmos genéticos y la Toolkit de EPANET con MATLAB (2016). El proceso de calibración se realiza en un sector de la red de distribución de la ciudad de Guanajuato, obteniendo una correlación de 0.816 con un error promedio absoluto de 0.08 mg/l entre las concentraciones modeladas y medidas; y que como resultado permitirá conocer la concentración del cloro en diversos puntos de la red, asegurándose de brindar un servicio de calidad durante el abastecimiento.

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Both, S., M. Bieda, A. Dimofte, and T. Zhu. "SU-FF-T-79: Analysis of the Virtual Wedge Implementation by the AAA Algorithm in the Varian Eclipse TPS." Medical Physics 34, no. 6Part8 (2007): 2419. http://dx.doi.org/10.1118/1.2760730.

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Esmail, A. "EP-1514: Evaluation of the accuracy of the Varian Eclipse AAA algorithm to calculate dose though a hip prosthesis." Radiotherapy and Oncology 111 (2014): S167—S168. http://dx.doi.org/10.1016/s0167-8140(15)31632-7.

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Wirth, A., H. Wittwer, T. Kron, and K. Sullivan. "Breast radiation dose estimates compared to measured doses from involved field radiotherapy (IFRT) or mantle fields for early stage Hodgkin lymphoma (ESHL)." Journal of Clinical Oncology 25, no. 18_suppl (2007): 18503. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.18503.

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18503 Background Breast cancer risk after mantle irradiation has prompted concern regarding the use of IFRT for ESHL. As breast cancer risk is radiation dose related, reliable estimates of breast radiation dose from IFRT might aid individual patient risk assessment. However, estimates of breast dose from radiation scatter/leakage beyond the involved field, using standard computer algorithms, are of uncertain accuracy. The aims of this study were to compare computer estimates with measured breast dose, and to compare breast dose from mantle and neck IFRT. Methods A phantom with breast tissue equivalent was used to determine breast dose using computerized treatment planning (CMS XiO), and to perform measurements within the phantom breast tissue using thermoluminescent dosimetry (TLD). These measurements were made for mantle fields and (neck) IFRT. Results Computer estimates and TLD measurements of breast dose in centigray (cGY) are shown for IFRT and mantle treatment, for a prescribed dose of 3000cGy, using 6MV X-rays from a Varian 21eX linear accelerator. Conclusions Breast dose from neck IFRT was lower than from mantle treatment by an order of magnitude, but being well outside the treatment field, was not accurately estimated by our computer algorithm. Work in progress will examine breast dose from mediastinal IFRT and involved node irradiation. Modifications to the planning algorithm may improve accuracy of dose estimates at a distance from the primary field, allowing routine breast dose estimates for patients. Ultimately, utilisation of dose-risk data may allow risk modelling and risk-benefit analysis of IFRT for ESHL in individual patients. [Table: see text] No significant financial relationships to disclose.

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Deng, Honggui, Junzhi Zhao, Xu Deng, and Songshan Ma. "An improved iterative channel estimation algorithm for high mobility OFDM systems." International Journal of Sciences Volume 1, no. 2012-12 (2012): 181–88. https://doi.org/10.5281/zenodo.3348135.

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The inter-carrier interference caused by time-variant fading channels is analyzed in high mobility OFDM systems. An improved iterative channel estimation algorithm is proposed for the systems. The wireless channel is estimated through a weighted time-domain interpolation of the pilot channel coefficients. The interpolation weights are designed according to the Doppler spread, which is calculated by the velocity of the receiver. The pilot channel coefficients are iteratively estimated by pilot tones using a Least Square (LS) method. During the iterative process, the detected data symbols are feed back as new pilots to optimize the estimates of pilot channel coefficients. The simulation results show that the proposed algorithm outperforms the existing methods. When the receiver moving at a speed up to 300Km/h, the performance degradation of the proposed method compared to the performance of perfect channel estimation is only 1dB-2dB.Read Complete Article at ijSciences: V1201211100

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Ngowi, Kelvin G., Mwingereza J. Kumwenda, and Khamis O. Amour. "Assessment of the Dose Coverage at the PTV for EBRT for Cervical Cancer Treatment Plan Using AAA Varian Eclipse TPS at Ocean Road Cancer Institute, Tanzania." Tanzania Journal of Science 50, no. 3 (2024): 591–99. http://dx.doi.org/10.4314/tjs.v50i3.14.

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The implementation of the Eclipse treatment planning system software (Version 15.1) at Ocean Road Cancer Institute (ORCI), Tanzania has made the Anisotropic Analytical Algorithm (AAA) the necessary routine tool for dose calculations. However, the accuracy of the AAA algorithm in planning doses specifically for cervical cancer treatment is not well known. Therefore, this study investigated the accuracy of the AAA in dose calculation in terms of the dose coverage at the Plan Target Volume (PTV) for cervical cancer treatment at the ORCI. 50 treatment plans of adult patients with International Federation of Gynecology and Obstetrics (FIGO) stage IB-IIIB cervical cancer who underwent 3D-CRT were analyzed. The results show that most of the patients received at least 95% of the prescribed dose, averaging 48.3 Gy, which is about 96.6% of the prescription. The average maximum dose was about 53.7 Gy, equivalent to 107.4% of the prescribed dose. When compared to other studies, minor dosimetric differences, typically less than 2% for all the PTV dose parameters, were observed. In conclusion, the results affirm that the Eclipse AAA algorithm is sufficiently accurate for dose calculations for cervical cancer treatment planning at the ORCI. Keywords: AAA; Cervical cancer; FIGO; PTV; TPS

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Poffenbarger, B., C. Audet, and E. Pursiful. "SU-FF-T-552: Dosimetric Accuracy of the Varian HD120 MLC and Eclipse & IPlan Algorithms for Radiosurgery." Medical Physics 36, no. 6Part17 (2009): 2651. http://dx.doi.org/10.1118/1.3182050.

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Dhasagounder, Murugesan, Jagatheesan Kaliannan, Pritesh Shah, and RAVI SHEKAR. "COMPARING THE PERFORMANCE OF VARIOUS SOFT COMPUTING APPROACHES IN LOAD FREQUENCY CONTROL FOR INTERCONNECTED POWER SYSTEMS COMBINING THERMAL-HYDRO AND THERMAL-DIESEL SOURCES." DYNA 99, no. 5 (2024): 523–30. http://dx.doi.org/10.52152/d11145.

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Interconnected power systems offer a solution for meeting the increasing demand for reliable and efficient electricity supply. However, maintaining stability in such networks, especially in the face of frequency fluctuations, presents a significant challenge. Effective load frequency control (LFC) optimization is vital for ensuring stability by mitigating the impact of these fluctuations resulting from various disturbances. This study introduces PID LFC optimization strategies applied to a thermal-hydro and thermal-diesel interconnected power system. Six optimization methods, including ACO, PSO, GA, TLBO, DE, and CIO, are explored using four cost functions. Random step load perturbations are applied to test the response consistency of the LFCs. Initial findings indicate that recently developed CIO outperforms other algorithms in achieving desired outcomes while maintaining competitive computational expenses. Specifically, the CIO-ITAE optimized LFC demonstrates improved resilience in addressing challenges in the interconnected power system. Keywords: Load Frequency Control, LFC, Ant Colony Optimization (ACO), Differential Evolution (DE), Teaching Learning based Optimization (TLBO),Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Cohort Intelligence Optimization (CIO).

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Dinata, Eric, Herman Budianto, and Hendrawan Armanto. "Hyper Sudoku Solver dengan Menggunakan Harris Hawks Optimization Algorithm." Journal of Intelligent System and Computation 2, no. 1 (2021): 20–27. http://dx.doi.org/10.52985/insyst.v2i1.153.

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Sudoku merupakan salah satu permainan klasik yang digemari banyak orang. Sebagai salah satu permainan papan, Sudoku mempunyai banyak varian, salah satunya Hyper Sudoku. Hyper Sudoku mempunyai tingkat kesulitas yang lebih tinggi daripada Sudoku biasa. Tingkat kompleksitas yang tinggi membuat pemainan ini menjadi brain teaser yang baik dan sangat cocok diambil sebagai media untuk menguji algoritma metaheuristik. Algoritma yang populer pada dekade terakhir ini adalah algoritma metaheuristik berbasis populasi, yang mengadaptasi perilaku binatang dalam memecahkan permasalahan optimasi, salah satunya adalah Harris Hawks Optimization (HHO). Seperti kebanyakan metode swarm intelligence (SI) lainnya, algoritma ini mengandalkan proses diversification dan intensification. Selain itu, HHO mempunyai empat strategi khusus untuk mencari solusi dengan kondisi yang berbeda. HHO mampu mencakup solusi multi dimensi, sehingga sangat cocok diimplementasikan pada persoalan Hyper Sudoku. Untuk uji coba, peneliti menggunakan bantuan aplikasi Visual Studio 2017 dan MATLAB R2018a. Pada proses pengujian, digunakan dua setting parameter yang berbeda, tiga macam persoalan Hyper Sudoku, dan tiga puluh independent run untuk mencapai hasil yang diinginkan. Berdasarkan hasil pengujian, dapat disimpulkan bahwa tingkat keberhasilan untuk mencari solusi pada persoalan Hyper Sudoku dengan menggunakan HHO berkisar antara 86 hingga 88%, dilihat dari fitness value-nya.

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Климанов, В., V. Klimanov, Ж. Галяутдинова, et al. "Reconstruction of Bremsstrahlung Spectrum of Medical Electron Linear Accelerators from Deep Dose Distributions in Water Phantom." Medical Radiology and radiation safety 62, no. 5 (2017): 47–51. http://dx.doi.org/10.12737/article_59f300494670a7.65219672.

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Purpose: Development of the bremsstrahlung spectrum reconstruction method of medical electron linear accelerators (ELA) with different field sizes on the base of the deep dose distributions in a water phantom and determination of photon spectra for Varian Trilogy accelerator 6 MV.  Material and methods: The proposed methodology is based on the use of dose kernels algorithm of point monoenergetic monodirectional source (pencil beam (PB)) for the deep dose distribution calculation, created different cross-section beams of in a water phantom, and experimental measurements of these distributions. For solving the inverse problem is applied Toolbox routines 'ptimtool knowing mathematical package MATLAB to solve. Results: Bremsstrahlung energy spectrum generated medical accelerator Varian Triology with different sizes of square fields from 3×3 up to 40×40 cm and average energy photons, depending on the size of the fields were received. Dose kernels for a set of defined energies PB were calculated. Depth dose distribution in a water phantom, calculated using the obtained spectra and dose kernels agree well with measurement dose distributions.  Conclusion: The proposed technique reconstruction of bremsstrahlung spectrum of electron linear accelerator is adequate. Average energy spectra of bremsstrahlung photons for Varian Trilogy Accelerator in regime 6 MV varies from 1.71 to 1.43 MeV depending on the field size.

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Agustriya, Manda, Munirul Ula, and Kurniawati -. "Analisis Kinerja Algoritma Klasifikasi Naïve Bayes Menggunakan Genetic Algorithm dan Bagging untuk Data Publik Risiko Transaksi Kartu Kredit." Jurnal Sistem dan Teknologi Informasi (JustIN) 12, no. 3 (2024): 584. http://dx.doi.org/10.26418/justin.v12i3.80136.

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Peningkatan penggunaan kartu kredit telah meningkatkan risiko penipuan dan kejahatan terkait transaksi kartu kredit. Hal ini memerlukan pengembangan metode yang efektif dalam mendeteksi dan mengklasifikasikan risiko tersebut secara akurat. Tujuan penelitian ini adalah untuk membandingkan tingkat akurasi algoritma naive bayes setelah memeriksa kinerjanya dengan menggunakan metode bagging dan genetic algorithm. Meskipun naïve bayes dikenal karena kesederhanaan dan kecepatan pemrosesannya, penelitian ini mengeksplorasi potensi peningkatan akurasi dengan menggabungkan teknik analisis tersebut. Penelitian ini melibatkan serangkaian eksperimen yang dirancang untuk menguji efektivitas genetic algorithm dan teknik bagging dalam meningkatkan performa naïve bayes. Genetic algorithm, dengan kemampuan optimasinya, digunakan untuk menemukan kombinasi parameter terbaik yang dapat meningkatkan akurasi naïve bayes. Di sisi lain, teknik bagging diterapkan untuk mengurangi varian dan meningkatkan stabilitas prediksi. Hasil penelitian menunjukkan bahwa penggunaan genetic algorithm berhasil meningkatkan akurasi naive bayes dari 99.44% menjadi 99.90%, menunjukkan peningkatan sebesar 0.46%. Sementara itu, teknik bagging tidak memberikan peningkatan yang signifikan dalam akurasi. Implikasi dari temuan ini adalah bahwa teknik analisis seperti genetic algorithm dapat secara efektif meningkatkan performa algoritma klasifikasi, terutama dalam konteks mendeteksi penipuan transaksi kartu kredit. Temuan ini memberikan wawasan penting bagi industri keuangan dalam mengembangkan sistem keamanan yang lebih baik dan efisien untuk melindungi transaksi kartu kredit dari risiko penipuan.

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Fortunato, Marco, Michela Ravanelli, and Augusto Mazzoni. "Real-Time Geophysical Applications with Android GNSS Raw Measurements." Remote Sensing 11, no. 18 (2019): 2113. http://dx.doi.org/10.3390/rs11182113.

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The number of Android devices enabling access to raw GNSS (Global Navigation Satellite System) measurements is rapidly increasing, thanks to the dedicated Google APIs. In this study, the Xiaomi Mi8, the first GNSS dual-frequency smartphone embedded with the Broadcom BCM47755 GNSS chipset, was employed by leveraging the features of L5/E5a observations in addition to the traditional L1/E1 observations. The aim of this paper is to present two different smartphone applications in Geoscience, both based on the variometric approach and able to work in real time. In particular, tests using both VADASE (Variometric Approach for Displacement Analysis Stand-alone Engine) to retrieve the 3D velocity of a stand-alone receiver in real-time, and VARION (Variometric Approach for Real-Time Ionosphere Observations) algorithms, able to reconstruct real-time sTEC (slant total electron content) variations, were carried out. The results demonstrate the contribution that mass-market devices can offer to the geosciences. In detail, the noise level obtained with VADASE in a static scenario—few mm/s for the horizontal components and around 1 cm/s for the vertical component—underlines the possibility, confirmed from kinematic tests, of detecting fast movements such as periodic oscillations caused by earthquakes. VARION results indicate that the noise level can be brought back to that of geodetic receivers, making the Xiaomi Mi8 suitable for real-time ionosphere monitoring.

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LI, JUN, XIAO-BIN TANG, XI-ZHI ZHANG, et al. "OPTIMUM TREATMENT MODE APPLIED TO POST-OPERATIVE CERVICAL CANCER FOR 5F-IMRT PLAN BASED ON FOUR VARIABLES IN VARIAN ECLIPSE TPS." Journal of Mechanics in Medicine and Biology 16, no. 07 (2016): 1650095. http://dx.doi.org/10.1142/s0219519416500950.

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Purpose: This study aimed to determine the dosimetric effect on the target volume, organs at risk (OARs) and normal tissues based on the different choice for four types of mechanical variables, i.e., treatment position, dose calculation algorithm, mulitleaf collimator (MLC) motion mode and X-ray energy; and to investigate the optimum treatment mode applied to post-operative cervical cancer for 5-field intensity-modulated radiation therapy (5F-IMRT) technique. Methods: The dosimetric difference on the target volume and OARs under the influence of four types of variables were initially compared by changing one variable at a time. Then, based on the above compared results, we compared the dosimetric difference on planning target volume (PTV) and OARs between group A composed of the superior four variables and group B composed of the relatively inferior four variables. The dosimetric parameters included dose distribution of the target volume, OARs and normal tissues, conformal index (CI), homogeneity index (HI), monitor units (MU) and beam-on time ([Formula: see text]. The independent and paired t-tests were used for statistical analysis, and the threshold for statistical significance was [Formula: see text]. Results: Compared with the supine position, the maximum dose of PTV ([Formula: see text]), the maximum dose of small intestine ([Formula: see text]) and [Formula: see text] of bladder ([Formula: see text] were all lower in prone position. In contrast with the pencil beam convolution (PBC), CI of PTV (CI[Formula: see text]) was larger while HI of PTV (HI[Formula: see text]) was lower, both [Formula: see text] and the maximum dose of rectum ([Formula: see text]) were lower using anisotropic analytical algorithm (AAA). Moreover, the same results were obtained using sliding window (SW) compared with multiple static segments (MSS). The mean dose of PTV ([Formula: see text] and CI[Formula: see text] was larger while the maximum dose of the spinal cord ([Formula: see text]), [Formula: see text] and the maximum dose of femoral heads were lower with 15 MV X-rays compared with 6 MV X-rays. In comparison with group B comprising the supine position, PBC, MSS and 6 MV X-rays, [Formula: see text] and HI[Formula: see text] decreased 1.4% and 53.4% respectively, CI[Formula: see text] increased 5.8% medially, while [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] all decreased in group A comprising of prone position, AAA, SW and 15 MV X-rays. Conclusion: The treatment mode composed of prone position, AAA algorithm, SW and 15 MV X-rays is chosen for the post-operative cervical cancer of 5F-IMRT technique, which is more capable of meeting the target volume constraints and maximal protection of OARs.

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Journal articles on the topic 'VARION algorithm'

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