Gotowa bibliografia na temat „Joint allocation”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Spis treści
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Joint allocation”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "Joint allocation"
Rideout, Douglas, i John Hof. "Allocating Joint Costs in Applied Forestry". Western Journal of Applied Forestry 2, nr 2 (1.04.1987): 45–48. http://dx.doi.org/10.1093/wjaf/2.2.45.
Pełny tekst źródłaKhumawala, Saleha B., Linda M. Parsons i Teresa P. Gordon. "TRACKS: Assessing the Quality of Not-For-Profit Efficiency Ratios: Do Donors Use Joint Cost Allocation Disclosures?" Journal of Accounting, Auditing & Finance 20, nr 3 (lipiec 2005): 287–309. http://dx.doi.org/10.1177/0148558x0502000305.
Pełny tekst źródłaShastitko, Andrey, Anna Meleshkina i Anastasiya Shastitko. "Cost Allocation, Regulation and Incentives in Joint Production of Goods". Moscow University Economics Bulletin 2015, nr 1 (28.02.2015): 18–40. http://dx.doi.org/10.38050/01300105201512.
Pełny tekst źródłaALMEIDA, VINICIO DE SOUZA E., i RICARDO PEREIRA CÂMARA LEAL. "A JOINT EXPERIMENTAL ANALYSIS OF INVESTOR BEHAVIOR IN IPO PRICING METHODS". Revista de Administração de Empresas 55, nr 1 (luty 2015): 14–25. http://dx.doi.org/10.1590/s0034-759020150103.
Pełny tekst źródłaWang, Heng, Aijun Liu i Xiaofei Pan. "Optimization of Joint Power and Bandwidth Allocation in Multi-Spot-Beam Satellite Communication Systems". Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/683604.
Pełny tekst źródłaThabet, Saqr Khalil Saeed, Emmanuel Osei-Mensah, Omar Ahmed, Abegaz Mohammed Seid i Olusola Bamisile. "Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation". Applied Sciences 12, nr 10 (17.05.2022): 5047. http://dx.doi.org/10.3390/app12105047.
Pełny tekst źródłaYao Song, Yao Song, Limin Xiao Yao Song, Liang Wang Limin Xiao, Wei Wei Liang Wang i Jinquan Wang Wei Wei. "Joint Online Optimization of Task Rescheduling and Data Redistribution". 網際網路技術學刊 24, nr 1 (styczeń 2023): 011–22. http://dx.doi.org/10.53106/160792642023012401002.
Pełny tekst źródłaZhang, Jiawei. "Cost Allocation for Joint Replenishment Models". Operations Research 57, nr 1 (luty 2009): 146–56. http://dx.doi.org/10.1287/opre.1070.0491.
Pełny tekst źródłaBalachandran, Bala V., i Ram T. S. Ramakrishnan. "Joint Cost Allocation for Multiple Lots". Management Science 42, nr 2 (luty 1996): 247–58. http://dx.doi.org/10.1287/mnsc.42.2.247.
Pełny tekst źródłaBarrymore, S. J. "RISK ALLOCATION IN PETROLEUM JOINT VENTURES". APPEA Journal 36, nr 1 (1996): 580. http://dx.doi.org/10.1071/aj95036.
Pełny tekst źródłaRozprawy doktorskie na temat "Joint allocation"
Harrop, John P. "Improving the Army's joint platform allocation tool (JPAT)". Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37635.
Pełny tekst źródłaThe U.S. Army's joint platform allocation tool (JPAT) is an integer linear program that was developed by the Army's Training and Doctrine Command Analysis Center and the Naval Postgraduate School to help inform acquisition decisions involving aerial reconnaissance and surveillance (R&S) resources. JPAT evaluates inputs such as mission requirements, locations of available equipment, and budgetary constraints to determine an effective assignment of unmanned aerial R&S assets to missions. As of September 2013, JPAT is solved using a rolling horizon approach, which produces a sub-optimal solution, and requires substantial computational resources to solve a problem of realistic size. Because JPAT is an integer linear program, it is a suitable candidate for using decomposition techniques to improve its computational efficiency. This thesis conducts an analysis of multiple approaches for increasing JPAT's computational efficiency. First, we reformulate JPAT using Benders decomposition. Then, we solve both the original and decomposed formulations using the simplex and barrier algorithms with multiple size datasets. In addition, we experiment with an initial heuristic solution and other techniques in our attempts to improve JPAT's runtime. We find that while Benders decomposition does not result in significant improvements in computation time for the instances considered in this thesis, initial solution heuristics and other modifications to the model improve JPAT's performance.
Luo, Lu. "Joint routing and resource allocation in multihop wireless network /". View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?ECED%202009%20LUOL.
Pełny tekst źródłaLahad, Bachir. "Joint Uplink/Downlink Radio Resource Allocation in 5G HetNets". Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG057.
Pełny tekst źródłaThe rapid growth in wireless data traffic and bandwidth intensive services (voice over IP, video streaming, livestreaming, etc.) necessitates finding viable solutions to improve service quality and maximize thenetwork performance. To accommodate these bandwidth intensive applications, heterogeneous cellular networks (HetNets) were introduced in 3GPP as one of the main features to meet these advanced requirements. Yet, because of the difference in uplink (UL) and downlink (DL) traffic loads expected in the next HetNetsgeneration, it becomes essential to dynamically adjust UL/DL resources. To support this newapproach, dynamic time-division duplexing (TDD) has been proposed. Nevertheless, the importance of UL arises along with the evolution of social networking and cloudsolutions. Therefore, it is of great interest to introduce novel techniques that mitigate ULinterferences, improve UL and DL throughputs and allow as well, a better use of radio resources byproviding adequate load balancing among UL and DL. Such an additional feature is the decoupledUL/DL access.In our work, we first develop a TDD model in HetNets. Under this model, we derive analytical expressions for the distribution of the interferer location considering all possible interference scenarios that could occur in TDD-based networks, while taking into account the harmful impact of interference.Based on the latter result, we derive the distribution and moment generating function (MGF) of the uplink and downlinkinter-cell interference considering a network consisting of one macro cell and one small cell. We build on the derivedexpressions to analyze the average capacity of the reference cell in both uplink and downlink transmissions.Second, we develop a joint TDD/decoupling statistical model to highlight the benefits thatthe decoupling access mode can bring to a HetNet TDD based system, in terms of UL and DL spectral efficiencies and throughputs. Introducing the decoupling mode necessitates a thoroughcomparison study with the conventional coupled UL/DL access mode. Therefore, we derive the statistics of the interference signal and the signal of interest of both modes and then analyze their impact on the system performance.This work was extended to include multiple small cells deployment, where more insight into the benefits of decoupling mode is provided in terms of UL and DL decoupling gains. Further to the implementation of the developed model, it is shown that the decoupling case brings greater benefits in the uplink and maintains the same improvement in the downlink for various offset values and thus, improves the overall system performance when being combined with a dynamic TDD technology. It is further shown that our modeled network can be optimized by adopting the optimal combination of both the small cell offset factor and the distance between small cells.On the other hand, evaluating the benefits of an adaptive TDD and decoupling in a HetNet based system according to time-variant traffic loads, necessitates findinga system level simulator where we can present the motivation and accurately assess the role of both decoupling and dynamic TDD techniques in the UL/DL optimization problem. From the applied simulation scenarios, it is observed that the proposed adaptive algorithm (dynamic TDD with decoupling policies) yields significant performance improvements in UL and DL throughput compared to a number of conventional schemes, mainly in dense HetNet deployment and in highly loaded systems
Tervo, V. (Valtteri). "Joint multiuser power allocation and iterative multi-antenna receiver design". Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526207292.
Pełny tekst źródłaTiivistelmä Väitöskirjassa tutkitaan lähettimessä tapahtuvan tehoallokoinnin sekä vastaanottimessa tapahtuvan signaalin suodatuksen yhteisoptimointia monikäyttöön suunnatussa langattomassa moniantennikommunikaatiossa. Langattomien laitteiden lukumäärän kasvaessa energiatehokkuuden merkitys tiedonsiirtolinkkien suunnittelussa korostuu. Soluihin perustuvassa langattomassa tietoliikenteessä keskimääräisen tehonkulutuksen pienentäminen ylälinkkilähetyksessä (käyttäjältä tukiasemaan) on tärkeää käyttäjän kannalta, sillä se pidentää laitteen akun kestoa. Lähettimen tehovahvistimen (high power amplifier (HPA)) tehonkulutus on kuitenkin verrannollinen lähetyksen huipputehoon. Väitöskirjassa luodaaan uusia menetelmiä sekä vertaillaan tehoallokointia yhden kantoaallon taajuustason monikäyttöön (single carrier frequency division multiple access (SC-FDMA)) ja ortogonaalisen taajuustason monikäyttöön (orthogonal FDMA (OFDMA)) perustuvissa lähetysteknologioissa. Työn ensimmäisessä osiossa tavoitteena on keskimääräisen tehonkulutuksen pienentäminen monen käyttäjän ylälinkkikommunikaatiossa suunnittelemalla tehoallokointimenetelmä, joka ottaa huomioon iteratiivisen vastaanottimen konvergenssiominaisuudet. Työssä ehdotettu menetelmä takaa vastaanotetun informaation halutun laadun (quality of service (QoS)) riittävän monen vastaanottimessa tehdyn iteraation jälkeen. Huipputehon ja keskitehon suhteen (peak to average power ratio (PAPR)) pienentäminen missä tahansa lähetyksessä on hyödyllistä, sillä sen ansiosta voidaan käyttää energiatehokkaampia ja halvempia tehovahvistimia. Työn jälkimmäisessä osiossa tavoitteena on kontrolloida lähetetyn signaalin huipputehon ja keskitehon suhdetta. Työn ensimmäisessä osiossa esitetyn QoS-rajoitteen lisäksi tehoallokointia rajoitetaan symbolisekvenssikohtaisella PAPR-rajoitteella SCFDMA- ja OFDMA-lähetyksessä. Lisäksi esitetään tilastollinen menetelmä, jossa rajoitetaan lähetetyn signaalin tehon varianssia. Kun käytetään yhtäaikaisesti QoS- ja PAPR-rajoitteita, voidaan tiedonsiirtokanavaan suunnitella optimaalinen tehoallokointi ottaen huomioon tehovahvistimen epälineaarisuudet. Työssä esitetty PAPR-rajoite on kuitenkin geneerinen, ja se voidaan sovittaa mihin tahansa SCFDMA- tai OFDMA- optimointikehykseen. Työssä esitettävien optimointiongelmien tavoitteena on käyttäjien summatehon minimointi. Suurin osa työssä esiintyvistä ongelmista on ei-konvekseja, joten siinä esitetään kaksi vaihtoehtoista peräkkäinen konveksi approksimaatio (successive convex approximation (SCA)) -menetelmää kaikille ei-konvekseille rajoitteille. Numeeriset tulokset osoittavat, että esitetyt tehoallokointimenetelmät pienentävät merkittävästi keskimääräistä tehonkulutusta mahdollistaen lisäksi adaptiivisen PAPR-kontrolloinnin. Väitöskirjassa esitettyjen menetelmien avulla voidaan pidentää mobiilikäyttäjien akun kestoa sekä erityisesti parantaa solun reunakäyttäjien palvelun laatua
Gecili, Hakan. "Joint Shelf Design and Shelf Space Allocation Problem for Retailers". Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1594374475655644.
Pełny tekst źródłaAbdul, Aziz Hasan Ali Aamir, i Muhammad Adil Shahzad. "A Joint Subcarrier/Power allocation Scheme for OFDMA-based Cellular Networks". Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91310.
Pełny tekst źródłaFallgren, Mikael. "Optimization of Joint Cell, Channel and Power Allocation in Wireless Communication Networks". Doctoral thesis, KTH, Optimeringslära och systemteori, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-40274.
Pełny tekst źródłaFinancial support by the Swedish Foundation for Strategic Research (SSF) QC 20110915
Mao, Shaobo. "Joint energy allocation for sensing and transmission in rechargeable wireless sensor networks". Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42832.
Pełny tekst źródłaWei, Junyi. "QoS-aware joint power and subchannel allocation algorithms for wireless network virtualization". Thesis, University of Essex, 2017. http://repository.essex.ac.uk/20142/.
Pełny tekst źródłaNgo, K. (KienTrung). "Joint energy harvesting time allocation and beamforming in two-way relaying network". Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201902271252.
Pełny tekst źródłaKsiążki na temat "Joint allocation"
Freedman, Warren. Joint and several liability: Allocation of risk and apportionment of damages. Stoneham, Mass: Butterworth Legal Publishers, 1987.
Znajdź pełny tekst źródłaSeaman, Scott M. Allocation of losses in complex insurance coverage claims. Wyd. 2. [Eagan, MN]: West Legalworks, 2006.
Znajdź pełny tekst źródłaNitterhouse, Denise. The effect of alternative joint cost allocation methods on mailing strategies of nonprofit organizations. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1985.
Znajdź pełny tekst źródłaSaleem, Samir Taha. Resource allocation under the joint account and the land-water-charge systems: Is there a case for abandoning the joint account? [Khartoum]: Development Studies and Research Centre, Faculty of Economic & Social Studies, University of Khartoum, 1989.
Znajdź pełny tekst źródłaSeaman, Scott M. The handbook on allocation/apportionment of losses involving complex insurance coverage claims. Little Falls, NJ: Glasser LegalWorks, 2000.
Znajdź pełny tekst źródłaM, Terry Joseph, i Southwest Fisheries Science Center (U.S.). Workshop, red. Fixed costs and joint cost allocation in the management of Pacific whiting: A workshop report. [La Jolla, Calif.]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southwest Fisheries Science Center, 1996.
Znajdź pełny tekst źródłaT, Godfrey James, i Frank Robert H, red. Common costs and fund-raising appeals: A guide to joint cost allocation in not-for-profit organizations. Pittsburgh, PA: Dial Pub. Co., 1991.
Znajdź pełny tekst źródłaGriffin, Karen, Scott Murtishaw i Adam Langton. Joint California Public Utilities Commission and California Energy Commission staff paper on options for allocation of greenhouse gas allowances in the electricity sector: Joint agency staff paper. Sacramento, Calif.]: California Energy Commission, 2008.
Znajdź pełny tekst źródłaIndia. Parliament. Lok Sabha. Secretariat, red. Report, Joint Parliamentary Committee (JPC) to examine matters relating to allocation and pricing of telecom licences and spectrum (Fifteenth Lok Sabha). New Delhi: Lok Sabha Secretariat, 2013.
Znajdź pełny tekst źródłaUnited States. Congress. Senate. Committee on Labor and Human Resources., red. Putting patients first: Resolving allocation of transplant organs : joint hearing before the Subcommittee on Health and Environment of the Committee on Commerce, House of Representatives, and the Committee on Labor and Human Resources, U.S. Senate, One Hundred Fifth Congress, second session, June 18, 1998. Washington: U.S. G.P.O., 1998.
Znajdź pełny tekst źródłaCzęści książek na temat "Joint allocation"
Demski, Joel S. "Joint Costs and Cost Allocation". W Managerial Uses of Accounting Information, 169–200. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4613-3641-9_8.
Pełny tekst źródłaWu, Feng, Chong Luo i Hancheng Lu. "Joint Bandwidth and Power Allocation". W Uncoded Multimedia Transmission, 91–110. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003118688-9.
Pełny tekst źródłaWu, Feng, Chong Luo i Hancheng Lu. "Joint Subcarrier Matching and Power Allocation". W Uncoded Multimedia Transmission, 147–72. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003118688-12.
Pełny tekst źródłaDutta, Rathindra Nath, i Sasthi C. Ghosh. "Joint Relay Selection and Frequency Allocation for D2D Communications". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 159–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91424-0_10.
Pełny tekst źródłaTayyari, Fariborz, i Hamid R. Parsaei. "Joint Cost Allocation to Multiple Products: Cost Accounting v.Engineering Techniques". W Economics of Advanced Manufacturing Systems, 189–99. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3480-8_12.
Pełny tekst źródłaZhang, Wei, Wanbing He, Dan Wu i Yueming Cai. "Joint Mode Selection and Resource Allocation in Underlaying D2D Communication". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 206–19. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72823-0_20.
Pełny tekst źródłaZhang, Xiaohong, Yong Li i Mugen Peng. "Joint User-Association and Resource-Allocation in Virtualized C-RAN". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 265–75. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72823-0_26.
Pełny tekst źródłaChen, Yujiao, Hong Chen i Rong Chai. "A Joint Bandwidth and Power Allocation Scheme for Heterogeneous Networks". W Communications and Networking, 268–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66628-0_26.
Pełny tekst źródłaRaffensperger, John F., i Mark W. Milke. "Water Allocation: The Joint Problem of Interaction and Transaction Cost". W Smart Markets for Water Resources, 1–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55008-4_1.
Pełny tekst źródłaPrasad, Ramjee, Suvra Sekhar Das i Muhammad Imadur Rahman. "Joint Link Adaptation and Resource Allocation in SISO/SIMO Systems". W Adaptive PHY-MAC Design for Broadband Wireless Systems, 261–305. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003336969-10.
Pełny tekst źródłaStreszczenia konferencji na temat "Joint allocation"
Kyropoulou, Maria, Warut Suksompong i Alexandros A. Voudouris. "Almost Envy-Freeness in Group Resource Allocation". W Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/57.
Pełny tekst źródłaYuen, Sheung Man, i Warut Suksompong. "Approximate Envy-Freeness in Graphical Cake Cutting". W Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/326.
Pełny tekst źródłaSegal-Halevi, Erel, Haris Aziz i Avinatan Hassidim. "Fair Allocation based on Diminishing Differences". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/174.
Pełny tekst źródłaMassand, Sagar, i Sunil Simon. "Graphical One-Sided Markets". W Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/70.
Pełny tekst źródłaHosseini, Hadi, Aghaheybat Mammadov i Tomasz Wąs. "Fairly Allocating Goods and (Terrible) Chores". W Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/305.
Pełny tekst źródłaSegal-Halevi, Erel, i Warut Suksompong. "Democratic Fair Allocation of Indivisible Goods". W Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/67.
Pełny tekst źródłaHummel, Halvard. "On Lower Bounds for Maximin Share Guarantees". W Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/306.
Pełny tekst źródłaAmanatidis, Georgios, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender i Alexandros A. Voudouris. "Maximum Nash Welfare and Other Stories About EFX". W Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/4.
Pełny tekst źródłaZhou, Shengwei, i Xiaowei Wu. "Approximately EFX Allocations for Indivisible Chores". W Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/110.
Pełny tekst źródłaGourvès, Laurent, Julien Lesca i Anaëlle Wilczynski. "Object Allocation via Swaps along a Social Network". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/31.
Pełny tekst źródłaRaporty organizacyjne na temat "Joint allocation"
Day, Robert, George White, William Cook, M. Bryant i Robert Miller. Joint Materiel Apportionment and Allocation. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1988. http://dx.doi.org/10.21236/ada199037.
Pełny tekst źródłaNesbitt, Peter A., Emily M. Craparo, Chris E. Marks, Jonathan K. Alt, Kristin D. Smead i Jessica L. Tabacca. Modification to the Joint Platform Allocation Tool (JPAT) to Include Additional Warfighting Functions. Aerial R&S Future. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2013. http://dx.doi.org/10.21236/ada589383.
Pełny tekst źródłaAremu, Fatai. Donor Action for Empowerment and Accountability in Nigeria. Institute of Development Studies (IDS), marzec 2022. http://dx.doi.org/10.19088/ids.2022.015.
Pełny tekst źródła