Search Results - (( frames next selection algorithm ) OR ( java simulation optimization algorithm ))

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  1. 1

    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique by Hardev Singh, Jitvinder Dev Singh

    Published 2015
    “…In the video and frame selection, pre-defined video which have different type of motion and size is used for the algorithm evaluation purpose. …”
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    Thesis
  2. 2
  3. 3

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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    Thesis
  4. 4

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…Whenever an area with the similar characteristic is verified in the next frame, the area will be identified and bounded with a rectangle through the object recognition algorithm of the research. …”
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    Final Year Project / Dissertation / Thesis
  5. 5

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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    Monograph
  6. 6

    Video surveillance: Item monitoring against theft by Chong, Yiing Sheah

    Published 2023
    “…After that, the system will get the current frame to find the common features with the background frame by using a feature matching algorithm. …”
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    Final Year Project / Dissertation / Thesis
  7. 7

    Automated threshold detection for object segmentation in colour image by Akhtaruzzaman, Md., Shafie, Amir Akramin, Khan, Md. Raisuddin

    Published 2016
    “…The procedure starts with selection of optimal RGB channel. Then H(•) algorithm is applied for automated threshold detection to convert the image frames into grayscale image. …”
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    Article
  8. 8

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
    Review
  9. 9

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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    Thesis
  10. 10

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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    Thesis
  11. 11

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
    “…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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    Monograph
  12. 12

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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    Thesis
  13. 13

    Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2) by Thian, Laah Lean, Al-Saegh, Ali Mohammed, Ramli, K. F., Ibrahim, N. S., Sali, Aduwati, Salman, Mustafa Ismael

    Published 2013
    “…Based on energy efficiency of each modulation and coding scheme (MODCOD) available in Digital Video Broadcasting - Satellite Second Generation (DVB-S2), the EEF algorithm improves a scheduling mechanism of a two-step scheduler by selecting frames to be transmitted next according to “energy efficiency” policy developed. …”
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    Conference or Workshop Item
  14. 14
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    A quality of experience approach in smartphone video selection framework for energy efficiency by Jofri, Muhamad Hanif

    Published 2021
    “…This process manages the video attribute such as brightness, resolution, and frame rate by turning to Video Content Selection (VCS). …”
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  16. 16

    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

    Published 2019
    “…To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. SecPath is evaluated with several variations using 400 nodes in WSN deployments as well as large-scale simulations. …”
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  17. 17

    Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

    Published 2019
    “…To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. Energy efficient iPath (E-iPath) is evaluated with several variations of nodes in WSN deployments as well as large-scale simulations. …”
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    Article
  18. 18

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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  19. 19

    Inclusive dijet cross sections in neutral current deep inelastic scattering at HERA by Abramowicz, H., Abt, I., Adamczyk, L., Adamus, M., Aggarwal, R., Antonelli, S., Antonioli, P., Antonov, A., Arneodo, M., Aushev, V., Aushev, Y., Bachynska, O., Bamberger, A., Barakbaev, A.N., Barbagli, G., Bari, G., Barreiro, F., Bartsch, D., Basile, M., Behnke, O., Behr, J., Behrens, U., Bellagamba, L., Bertolin, A., Bhadra, S., Bindi, M., Blohm, C., Bokhonov, V., Bold, T., Boos, E.G., Borras, K., Boscherini, D., Bot, D., Boutle, S.K., Brock, I., Brownson, E., Brugnera, R., Bruemmer, N., Bruni, A., Bruni, G., Brzozowska, B., Bussey, P.J., Butterworth, J.M., Bylsma, B., Caldwell, A., Capua, M., Carlin, R., Catterall, C.D., Chekanov, S., Chwastowski, J., Ciborowski, J., Ciesielski, R., Cifarelli, L., Cindolo, F., Contin, A., Cooper-Sarkar, A.M., Coppola, N., Corradi, M., Corriveau, F., Costa, M., D'Agostini, G., Dal Corso, F., del Peso, J., Dementiev, R.K., De Pasquale, S., Derrick, M., Devenish, R.C.E., Dobur, D., Dolgoshein, B.A., Dolinska, G., Doyle, A.T., Drugakov, V., Durkin, L.S., Dusini, S., Eisenberg, Y., Ermolov, P.F., Eskreys, A., Fang, S., Fazio, S., Ferrando, J., Ferrero, M.I., Figiel, J., Forrest, M., Foster, B., Fourletov, S., Gach, G., Galas, A., Gallo, E., Garfagnini, A., Geiser, A., Gialas, I., Gladilin, L.K., Gladkov, D., Glasman, C., Gogota, O., Golubkov, Y.A., Goettlicher, P., Grabowska-Bold, I., Grebenyuk, J., Gregor, I., Grigorescu, G., Grzelak, G., Gueta, O., Gwenlan, C., Haas, T., Hain, W., Hamatsu, R., Hart, J.C., Hartmann, H., Hartner, G., Hilger, E., Hochman, D., Hori, R., Horton, K., Huettmann, A., Iacobucci, G., Ibrahim, Z.A., Iga, Y., Ingbir, R., Ishitsuka, M., Jakob, H.P., Januschek, F., Jimenez, M., Jones, T.W., Juengst, M., Kadenko, I., Kahle, B., Kamaluddin, B., Kananov, S., Kanno, T., Karshon, U., Karstens, F., Katkov, I.I., Kaur, M., Kaur, P., Keramidas, A., Khein, L.A., Kim, J.Y., Kisielewska, D., Kitamura, S., Klanner, R., Klein, U., Koffeman, E., Kooijman, P., Korol, Ie., Korzhavina, I. A., Kotanski, A., Koetz, U., Kowalski, H., Kulinski, P., Kuprash, O., Kuze, M., Lee, A., Levchenko, B.B., Levy, A., Libov, V., Limentani, S., Ling, T.Y., Lisovyi, M., Lobodzinska, E., Lohmann, W., Loehr, B., Lohrmann, E., Loizides, J.H., Long, K.R., Longhin, A., Lontkovskyi, D., Lukina, O.Y., Luzniak, P., Maeda, J., Magill, S., Makarenko, I., Malka, J., Mankel, R., Margotti, A., Marini, G., Martin, J.F., Mastroberardino, A., Mattingly, M.C.K., Melzer-Pellmann, I.A., Miglioranzi, S., Idris, F.M., Monaco, V., Montanari, A., Morris, J. D., Mujkic, K., Musgrave, B., Nagano, K., Namsoo, T., Nania, R., Nicholass, D., Nigro, A., Ning, Y., Noor, U., Notz, D., Nowak, R.J., Nuncio-Quiroz, A.E., Oh, B.Y., Okazaki, N., Oliver, K., Olkiewicz, K., Onishchuk, Yu., Papageorgiu, K., Parenti, A., Paul, E., Pawlak, J.M., Pawlik, B., Pelfer, P., Pellegrino, A., Perlanski, W., Perrey, H., Piotrzkowski, K., Plucinski, P., Pokrovskiy, N.S., Polini, A., Proskuryakov, A.S., Przybycien, M., Raval, A., Reeder, D.D., Reisert, B., Ren, Z., Repond, J., Ri, Y.D., Robertson, A., Roloff, P., Ron, E., Rubinsky, I., Ruspa, M., Sacchi, R., Salii, A., Samson, U., Sartorelli, G., Savin, A.A., Saxon, D.H., Schioppa, M., Schlenstedt, S., Schleper, P., Schmidke, W.B., Schneekloth, U., Schoenberg, V., Schoerner-Sadenius, T., Schwartz, J., Sciulli, F., Shcheglova, L.M., Shehzadi, R., Shimizu, S., Singh, I., Skillicorn, I.O., Slominski, W., Smith, W.H., Sola, V., Solano, A., Son, D., Sosnovtsev, V., Spiridonov, A., Stadie, H., Stanco, L., Stern, A., Stewart, T.P., Stifutkin, A., Stopa, P., Suchkov, S., Susinno, G., Suszycki, L., Sztuk-Dambietz, J., Szuba, D., Szuba, J., Tapper, A.D., Tassi, E., Terron, J., Theedt, T., Tiecke, H., Tokushuku, K., Tomalak, O., Tomaszewska, J., Tsurugai, T., Turcato, M., Tymieniecka, T., Uribe-Estrada, C., Vazquez, M., Verbytskyi, A., Viazlo, O., Vlasov, N.N., Volynets, O., Walczak, R., Abdullah, W.A.T.W., Whitmore, J.J., Whyte, J., Wiggers, L., Wing, M., Wlasenko, M., Wolf, G., Wolfe, H., Wrona, K., Yagues-Molina, A.G., Yamada, S., Yamazaki, Y., Yoshida, R., Youngman, C., Zarnecki, A.F., Zawiejski, L., Zenaiev, O., Zeuner, W., Zhautykov, B.O., Zhmak, N., Zhou, C., Zichichi, A., Zolko, M., Zotkin, D.S., Zulkapli, Z., Collaboration, ZEUS

    Published 2010
    “…The jets were reconstructed with the k (T) cluster algorithm in the Breit reference frame and selected by requiring their transverse energies in the Breit frame, E-jet (T,B), to be larger than 8 GeV. …”
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