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Journal articles on the topic 'Call control'

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Published: 10 March 2023

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1

Kato, Makoto, and Masahiko Hashimoto. "Call control device and call control method." Journal of the Acoustical Society of America 121, no. 3 (2007): 1275. http://dx.doi.org/10.1121/1.2720008.

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2

Adamy, Udo, Christoph Ambuhl, R. Sai Anand, and Thomas Erlebach. "Call Control in Rings." Algorithmica 47, no. 3 (March 2007): 217–38. http://dx.doi.org/10.1007/s00453-006-0187-4.

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3

&NA;. "Call the poison control centre." Reactions Weekly &NA;, no. 521 (October 1994): 2. http://dx.doi.org/10.2165/00128415-199405210-00001.

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4

Sai Anand, R., Thomas Erlebach, Alexander Hall, and Stamatis Stefanakos. "Call control with k rejections." Journal of Computer and System Sciences 67, no. 4 (December 2003): 707–22. http://dx.doi.org/10.1016/s0022-0000(03)00076-x.

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5

HILEMAN, BETTE. "Academies call population control vital." Chemical & Engineering News 70, no. 9 (March 2, 1992): 6. http://dx.doi.org/10.1021/cen-v070n009.p006a.

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6

Jendresky, L., J. Bloom, S. Hiedtmann, and H. Murphy. "Infection control call back program." American Journal of Infection Control 22, no. 2 (April 1994): 126. http://dx.doi.org/10.1016/0196-6553(94)90236-4.

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7

Turner, Kenneth J., Stephan Reiff-Marganiec, Lynne Blair, Jianxiong Pang, Tom Gray, Peter Perry, and Joe Ireland. "Policy support for call control." Computer Standards & Interfaces 28, no. 6 (September 2006): 635–49. http://dx.doi.org/10.1016/j.csi.2005.05.004.

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8

LIAO, Xue-hua. "Application on call signal system and call control of HMP." Journal of Computer Applications 28, no. 7 (November 3, 2008): 1847–49. http://dx.doi.org/10.3724/sp.j.1087.2008.01847.

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9

Tokunaga, Hiroshi, and Hiromichi Kawano. "Traffic congestion control based on call density control." Electronics and Communications in Japan (Part I: Communications) 72, no. 5 (May 1989): 96–107. http://dx.doi.org/10.1002/ecja.4410720511.

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10

Konte, Ratnesh, Neeraj Kumar, Jaikaran Singh, and Mukesh Tiwari. "Call Admission Control for QoS and Performance Analysis of Handoff calls." International Journal of Engineering Trends and Technology 9, no. 2 (March 25, 2014): 66–68. http://dx.doi.org/10.14445/22315381/ijett-v9p213.

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11

Ma, Yue, James J. Han, and Kishor S. Trivedi. "Call admission control for reducing dropped calls in CDMA cellular systems." Computer Communications 25, no. 7 (May 2002): 689–99. http://dx.doi.org/10.1016/s0140-3664(01)00391-7.

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12

Geller, Jon, Anthony Bartels, James F. Wilson, and Paul D. Pion. "A call for internship quality control." Journal of the American Veterinary Medical Association 240, no. 8 (April 15, 2012): 939–42. http://dx.doi.org/10.2460/javma.240.8.939.

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13

Ali, Z., W. Sheikh, E. K. P. Chong, and A. Ghafoor. "A Scalable Call Admission Control Algorithm." IEEE/ACM Transactions on Networking 16, no. 2 (April 2008): 424–34. http://dx.doi.org/10.1109/tnet.2007.900414.

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14

Leonardi, Stefano, Alberto Marchetti-Spaccamela, Alessio Presciutti, and Adi Rosén. "On-line Randomized Call Control Revisited." SIAM Journal on Computing 31, no. 1 (January 2001): 86–112. http://dx.doi.org/10.1137/s0097539798346706.

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15

Tattam, Amanda. "Australia's surgeons call for gun control." Lancet 351, no. 9108 (April 1998): 1042. http://dx.doi.org/10.1016/s0140-6736(05)79019-x.

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16

Perros, H. G., and K. M. Elsayed. "Call admission control schemes: a review." IEEE Communications Magazine 34, no. 11 (1996): 82–91. http://dx.doi.org/10.1109/35.544197.

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17

Jain, R., F. M. Anjum, P. Missier, and S. Shastry. "Java call control, coordination, and transactions." IEEE Communications Magazine 38, no. 1 (2000): 108–14. http://dx.doi.org/10.1109/35.815460.

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18

Garay, Juan A., Inder S. Gopal, Shay Kutten, Yishay Mansour, and Moti Yung. "Efficient On-Line Call Control Algorithms." Journal of Algorithms 23, no. 1 (April 1997): 180–94. http://dx.doi.org/10.1006/jagm.1996.0821.

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19

Bhulai, Sandjai, Taoying Farenhorst-Yuan, Bernd Heidergott, and Dinard van der Laan. "Optimal balanced control for call centers." Annals of Operations Research 201, no. 1 (September 6, 2012): 39–62. http://dx.doi.org/10.1007/s10479-012-1215-1.

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20

Pantziou, Pentaris, and Spirakis. "Competitive Call Control in Mobile Networks." Theory of Computing Systems 35, no. 6 (June 18, 2002): 625–39. http://dx.doi.org/10.1007/s00224-002-1032-z.

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21

Turner, Kenneth J., and Lynne Blair. "Policies and conflicts in call control." Computer Networks 51, no. 2 (February 2007): 496–514. http://dx.doi.org/10.1016/j.comnet.2006.08.007.

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22

Femminella, Mauro, Francesco Giacinti, and Gianluca Reali. "Enhancing java call control with media server control functions." IEEE Communications Magazine 51, no. 10 (October 2013): 132–42. http://dx.doi.org/10.1109/mcom.2013.6619577.

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23

Pietrabissa, Antonio. "Optimal Call Admission and Call Dropping Control in Links with Variable Capacity." European Journal of Control 15, no. 1 (January 2009): 56–67. http://dx.doi.org/10.3166/ejc.15.56-67.

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24

Nananukul, S. "Efficiency and reliability of call admission control schemes using call-level behavior." IEEE Transactions on Communications 50, no. 10 (October 2002): 1645–51. http://dx.doi.org/10.1109/tcomm.2002.803984.

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25

Hikita, Shiro, Masafumi Iwata, and Shigeru Abe. "Elevator Group Control with Destination Call Entry and Adaptive Control." IEEJ Transactions on Electronics, Information and Systems 124, no. 7 (2004): 1471–77. http://dx.doi.org/10.1541/ieejeiss.124.1471.

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26

Consolini, R., J. Breard, A. Bourinbaiar, A. Goutner, V. Georgoulias, C. Canon, E. Brugerie, and G. Mathe. "Abnormal in vitro differentiation of peripheral blood clonogenic B cells in common acute lymphoblastic leukemia during complete remission." Blood 67, no. 3 (March 1, 1986): 796–801. http://dx.doi.org/10.1182/blood.v67.3.796.796.

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Abstract An in vitro B cell colony assay system was used to evaluate B cell growth from peripheral blood precursors in common acute lymphoblastic leukemia (CALL) patients in remission during maintenance therapy and in normal controls. Major differences between the two groups were found in the phenotypic and morphologic features of pooled colony cells. In both cases, the cells were E-. Controls' cells were surface immunoglobulin (sIg)-positive, and some (mean, 25%) expressed la determinants. By Wright-Giemsa staining, they appeared as plasmacytoid cells. In contrast, patients' cells had predominantly a lymphoblastoid appearance, fewer cells had developed sIg, and a large fraction (mean, 43%) were Ia-positive. Moreover, the CALL antigen (CALLA) was expressed by a mean of 18% (range, 2% to 72%) of the patients' colony cells, whereas CALLA was never found in control colonies. Thus, cells with immature features persist in the colonies of CALL patients. Secondary colonies could be generated from the patients' cultured cells, indicating their self-renewal capacity. CALLA + cells were also present in the secondary colonies. Finally, cytogenetic studies showed that a fraction of the patients' colony cells had karyotypic abnormalities similar to that of the original lymphoblasts. It is believed that in CALL patients this B cell assay permits the clonal expansion of residual circulating cells linked to malignant clones that are not detectable by classic hematologic and cytologic methods.
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27

Consolini, R., J. Breard, A. Bourinbaiar, A. Goutner, V. Georgoulias, C. Canon, E. Brugerie, and G. Mathe. "Abnormal in vitro differentiation of peripheral blood clonogenic B cells in common acute lymphoblastic leukemia during complete remission." Blood 67, no. 3 (March 1, 1986): 796–801. http://dx.doi.org/10.1182/blood.v67.3.796.bloodjournal673796.

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An in vitro B cell colony assay system was used to evaluate B cell growth from peripheral blood precursors in common acute lymphoblastic leukemia (CALL) patients in remission during maintenance therapy and in normal controls. Major differences between the two groups were found in the phenotypic and morphologic features of pooled colony cells. In both cases, the cells were E-. Controls' cells were surface immunoglobulin (sIg)-positive, and some (mean, 25%) expressed la determinants. By Wright-Giemsa staining, they appeared as plasmacytoid cells. In contrast, patients' cells had predominantly a lymphoblastoid appearance, fewer cells had developed sIg, and a large fraction (mean, 43%) were Ia-positive. Moreover, the CALL antigen (CALLA) was expressed by a mean of 18% (range, 2% to 72%) of the patients' colony cells, whereas CALLA was never found in control colonies. Thus, cells with immature features persist in the colonies of CALL patients. Secondary colonies could be generated from the patients' cultured cells, indicating their self-renewal capacity. CALLA + cells were also present in the secondary colonies. Finally, cytogenetic studies showed that a fraction of the patients' colony cells had karyotypic abnormalities similar to that of the original lymphoblasts. It is believed that in CALL patients this B cell assay permits the clonal expansion of residual circulating cells linked to malignant clones that are not detectable by classic hematologic and cytologic methods.
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28

Ghosh, Sanchita, and Amit Konar. "Call Admission Control Using Bio-Geography Based Optimization." International Journal of Applied Evolutionary Computation 6, no. 1 (January 2015): 49–71. http://dx.doi.org/10.4018/ijaec.2015010103.

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The chapter proposes a new approach to call admission control in a mobile cellular network using Bio-geography based optimization. Existing algorithms on call admission control either ignore both variation in traffic conditions or velocity of mobile devices, or at most consider one of them. This chapter overcomes the above problems jointly by formulating call admission control as a constrained optimization problem, where the primary objective is to minimize the call drop under dynamic condition of the mobile stations, satisfying the constraints to maximize the channel assignment and minimize the dynamic traffic load in the network. The constrained objective function has been minimized using Bio-geography based optimization. Experimental results and computer simulations envisage that the proposed algorithm outperforms most of the existing approaches on call admission control, considering either of the two issues addressed above.
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29

MURILLO-P^|^Eacute;REZ, Rub^ ^eacute;n Pavel, Carmen Beatriz RODR^|^Iacute;GUEZ-ESTRELLO, and Felipe CRUZ-P^|^Eacute;REZ. "Call Admission Control with Fractional Buffer Size." IEICE Transactions on Communications E95.B, no. 9 (2012): 2972–75. http://dx.doi.org/10.1587/transcom.e95.b.2972.

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30

Bozinovski, M., L. Gavrilovska, and R. Prasad. "Fault-tolerant SIP-based call control system." Electronics Letters 39, no. 2 (2003): 254. http://dx.doi.org/10.1049/el:20030029.

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31

Saito, H., and K. Shiomoto. "Dynamic call admission control in ATM networks." IEEE Journal on Selected Areas in Communications 9, no. 7 (1991): 982–89. http://dx.doi.org/10.1109/49.103546.

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32

Rodgers, Griffin P. "A Call to Action for Diabetes Control." American Journal of Health Education 40, no. 5 (September 2009): 258. http://dx.doi.org/10.1080/19325037.2009.11770767.

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33

Baldo, O. B., and A. H. Aghvami. "Decentralised call admission control for wireless ATM." IEE Proceedings - Communications 146, no. 6 (1999): 366. http://dx.doi.org/10.1049/ip-com:19990757.

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34

Brown, C. "Call for infection control to stem MERS." Canadian Medical Association Journal 186, no. 10 (May 20, 2014): E349. http://dx.doi.org/10.1503/cmaj.109-4806.

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35

Desai, Renu. "Understanding management control systems in call centers." International Journal of Productivity and Performance Management 59, no. 8 (November 2, 2010): 792–810. http://dx.doi.org/10.1108/17410401011089472.

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36

Leong, Chi Wa, and Weihua Zhuang. "Call admission control for wireless personal communications." Computer Communications 26, no. 6 (April 2003): 522–41. http://dx.doi.org/10.1016/s0140-3664(02)00143-3.

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37

Mayor, Vicente, Rafael Estepa, Antonio Estepa, and Germán Madinabeitia. "Unified call admission control in corporate domains." Computer Communications 150 (January 2020): 589–602. http://dx.doi.org/10.1016/j.comcom.2019.11.041.

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38

Tomkins, Andrew. "Lower bounds for two call control problems." Information Processing Letters 56, no. 3 (November 1995): 173–78. http://dx.doi.org/10.1016/0020-0190(95)00147-5.

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39

Tostes Ribeiro, Anna Izabel J., Carlos R. Storck, and Fátima de L. P. Duarte-Figueiredo. "CAC-RD: an UMTS call admission control." Telecommunication Systems 45, no. 4 (February 18, 2010): 261–74. http://dx.doi.org/10.1007/s11235-009-9266-6.

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40

Atanasov, Ivaylo I., Evelina N. Pencheva, Denitsa L. Velkova, and Ivaylo P. Asenov. "Multiparty Call Control at the Network Edge." Elektronika ir Elektrotechnika 26, no. 5 (October 27, 2020): 39–49. http://dx.doi.org/10.5755/j01.eie.26.5.26007.

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Network programmability is a key feature of fifth generation (5G) system which, in combination with cloud-based services, can support many use cases, including mission critical and healthcare communications. Programmability enables flexibility in customization of service connectivity. Multi-access Edge Computing (MEC) services and applications are enablers for network programmability. In this paper, MEC capabilities for programmability of multiparty multimedia call control at the network edge are studied. Multiparty video calls are one of the key applications of 5G, and are efficient way to exchange ideas, knowledge, expertise, information, and so on. The paper presents an approach to design MEC Application Programming Interfaces (APIs) which enable third party applications to create multiparty multimedia sessions and dynamically manage session participations. The API functionality is described by required information and message flows. The paper specifies the proposed MEC API with data model. Feasibility study includes modelling and formal validation of multiparty session state models supported by the network and mobile edge application. The latency injected by the API is evaluated by emulation.
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41

Bo Rong, Yi Qian, Kejie Lu, Hsiao-Hwa Chen, and M. Guizani. "Call Admission Control Optimization in WiMAX Networks." IEEE Transactions on Vehicular Technology 57, no. 4 (July 2008): 2509–22. http://dx.doi.org/10.1109/tvt.2007.912595.

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42

Callaghan, George, and Paul Thompson. "Edwards Revisited: Technical Control and Call Centres." Economic and Industrial Democracy 22, no. 1 (February 2001): 13–37. http://dx.doi.org/10.1177/0143831x01221002.

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43

Subbaram Naidu, D., Tyrone Fernando, and Renee Fister. "Call for Papers: ‘Optimal Control in Diabetes’." Optimal Control Applications and Methods 29, no. 5 (September 2008): 411. http://dx.doi.org/10.1002/oca.866.

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44

Naidu, D. Subbaram, Tyrone Fernando, and Renee Fister. "Call for Papers: ‘Optimal Control in Diabetes’." Optimal Control Applications and Methods 30, no. 2 (March 2009): 221. http://dx.doi.org/10.1002/oca.882.

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45

Zhang, Yong, Francis Y. L. Chin, Hing-Fung Ting, Joseph Wun-Tat Chan, Xin Han, and Ka-Cheong Lam. "Online call control in cellular networks revisited." Information Processing Letters 112, no. 1-2 (January 2012): 21–25. http://dx.doi.org/10.1016/j.ipl.2011.10.005.

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46

Chiang, Tsun-Chieh, Vijay K. Gurbani, and John B. Reid. "The need for third-party call control." Bell Labs Technical Journal 7, no. 1 (August 14, 2002): 41–46. http://dx.doi.org/10.1002/bltj.16.

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47

Chen, Sheng, Xiangyang Li, and Yigang Cai. "IP multimedia subsystem converged call control services." Bell Labs Technical Journal 12, no. 1 (May 22, 2007): 145–60. http://dx.doi.org/10.1002/bltj.20223.

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48

Uzunalioglu, Huseyin, David J. Houck, and Y. T. Wang. "Call admission control for voice over IP." International Journal of Communication Systems 19, no. 4 (2006): 363–80. http://dx.doi.org/10.1002/dac.783.

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49

Ekpenyong, Moses Effiong, Victoria Idia Udoh, and Udoma James Bassey. "Mitigating Handoff Call Dropping in Wireless Cellular Networks: A Call Admission Control Technique." Journal of The Institution of Engineers (India): Series B 97, no. 2 (December 11, 2014): 167–74. http://dx.doi.org/10.1007/s40031-014-0170-4.

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50

Abid, Syed Kamal, Mujahid Hussain, Muhammad Raza, Rizwan-ul Haq, Rizwan Naseer, Mohsin Durrani, Saqib Ali, Abdul Mannan, Shaukat Ali Sajid, and Asad Ejaz. "Non Emergency Calls-Depression Coupling in Call Handlers of Rescue 1122 Punjab, Pakistan." Pakistan Journal of Psychological Research 34, Spring 2019 (March 30, 2019): 43–55. http://dx.doi.org/10.33824/pjpr.2019.34.1.3.

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The study was conducted to know whether bulk inflow of Non Emergency Calls (NECs) acts as an independent predictor for depression in call handlers of Rescue 1122, Punjab, Pakistan. Forty five (45) call handlers were recruited from evening shift of 9 districts. Similarly, same-sized control group was made out of field rescuers. The groups were compared for rate and severity level of depression using Beck’s Depression Inventory-II (BDI-II; Beck, Steer, & Brown, 1996). Probable predictors (except workplace stress) for depression in call handlers were evaluated through risk estimates. For workplace stress, a purposefully developed close- ended Workplace Stress Questionnaire including two subscales i.e. Non Emergency call and Control Room Environment of 30 items each was administrated. Twenty nine (64.4%) subjects of study group reported depression on BDI. Consequently, the same group had significantly higher mean depression score than control (18.2 vs. 12.6; p = .00). The scores also showed insignificant association with any of the probable predictors (demographic variables) of the call attendees. The respondents perceived more occupational stress against NECs. The findings attract the attention of authorities towards the severity of the concern.
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