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Journal articles on the topic 'NETWORK REPORTING SYSTEM'

Author: Grafiati

Published: 11 September 2023

Last updated: 31 July 2025

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1

Huang, Li-Shing, Tsang-Long Pao, and Jian-Bo Chen. "Network Service Availability Detecting and Reporting System." Advanced Science Letters 9, no. 1 (2012): 567–72. http://dx.doi.org/10.1166/asl.2012.2548.

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2

Mollica, Michelle, Brenda Adjei, Renea Duffin, et al. "Influencing Quality Reporting: Using the Rapid Quality Reporting System in a Community Network." Clinical Journal of Oncology Nursing 21, no. 5 (2017): 561–66. http://dx.doi.org/10.1188/17.cjon.561-566.

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3

Sumarsono, Sumarsono, Choerun Asnawi, Evy Kusumaningrum, and Dedy Hariyadi. "Pengembangan Sistem Informasi Geografi Untuk Pemantauan Jaringan Irigasi Menggunakan LeafletJS." Jurnal Kajian Ilmiah 23, no. 1 (2024): 13–22. http://dx.doi.org/10.31599/et38bn80.

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The distribution or flow of water in irrigation networks that are not good can have an impact on air demand on agricultural land. This is due to the air volume that is not optimal due to damage to the irrigation network. Each irrigation network has a level of disturbance which is measured by the level of damage to the irrigation network based on the channel and building arrangement. Efforts to anticipate the level of damage to the wider irrigation network that can harm farmers, it is necessary to have a system that makes it easier for air interpreters to provide reports. Based on the report, t

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4

K., Saravanan, and Mathivananr V. "Fibre Optic Infrastructure for Network Deployment Using Application System." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (2018): 311–15. https://doi.org/10.11591/ijeecs.v9.i2.pp311-315.

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Fiber optic has an imperative part in the improvement of media communications framework in Indonesia. Better system execution and nature of the speed that offered by fiber optic can bolster the information prerequisite which keeps on expanding each year. In Indonesia, Fiber Optics is utilized as the essential system foundation Backbone and Access and still keep on developing the fiber optic system in Indonesia. Therefore, the process of reporting, controlling and monitoring are imperative for network deployment of fiber optic network by using an application system to be more efficient and acce

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5

Nlerum, Promise Anebo, and Ezebunwo Igbudu. "Road Accident Emergency Reporting Management System using Neural Network." International Journal of Mathematics and Computer Research 13, no. 01 (2025): 4731–38. https://doi.org/10.5281/zenodo.14631719.

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Given the high number of road accidents that result in deaths every day, victims may lose their lives if emergency medical personnel or concerned parties fail to arrive promptly to intervene in an accident or if they do so, because they are unaware of the location of a nearby hospital or medical facility, they may not be able to provide the much-needed help. To avert this scenario, this research work seeks to deploy a Deep Learning Road Accident Emergencies Management model, which by examining of video and sensors’ data, identifies and reports traffic incidents in real time. A Neural Net

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Xu, J. H., G. Z. Nie, and X. Xu. "A digital social network for rapid collection of earthquake disaster information." Natural Hazards and Earth System Sciences 13, no. 2 (2013): 385–94. http://dx.doi.org/10.5194/nhess-13-385-2013.

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Abstract. Acquiring disaster information quickly after an earthquake is crucial for disaster and emergency rescue management. This study examines a digital social network – an earthquake disaster information reporting network – for rapid collection of earthquake disaster information. Based on the network, the disaster information rapid collection method is expounded in this paper. The structure and components of the reporting network are introduced. Then the work principles of the reporting network are discussed, in which the rapid collection of disaster information is realised by using Global

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7

Frey, Seth D., Mary Frances McAleer, Gary Walker, et al. "Standardized approach to incident management across a radiation oncology network." Journal of Clinical Oncology 36, no. 30_suppl (2018): 235. http://dx.doi.org/10.1200/jco.2018.36.30_suppl.235.

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235 Background: Quality and safety reporting is one of the most important aspects of creating a culture of safety. As part of a multidisciplinary Cancer Network, the Radiation Oncology Division at the lead institution devised an electronic incident reporting system that was implemented at the Network partners to define, standardize, quantify, and trend incidents in the radiation oncology treatment and care process. The purpose of this study is to assess robustness of the system, initial trends seen, and potential to improve quality and safety of the Network practice. Methods: Beginning in Janu

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8

Sonkamble, Dr Sulochana, Arnav Kadu, Prithviraj Ghorpade, Om Ingule, and Vineet Dhage. "Criminal Records and Reporting System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 6736–43. http://dx.doi.org/10.22214/ijraset.2023.53243.

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Abstract: Long with other technologies, Blockchain has been used in order to produce felonious data record operations in another system. The conception of the exploration is grounded on the confidentiality of felonious data and conservation from the original Police Officers’ perspective. The study aims to contribute to the security protocol of felonious record data through Blockchain. The work focuses on the security protocols and the system armature from both the stoner and device sides. Felonious records are largely sensitive public records. By incorporating felonious records in a blockchain

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9

Iyidobi, J. C., I. V. Mba, and C. E. Opata. "Development of an Online Fault Reporting/Management System for Power Holding Company of Nigeria (PHCN), Ikeja Zone." American Journal of Applied Sciences and Engineering 4, no. 2 (2023): 32–48. https://doi.org/10.5281/zenodo.15126253.

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<em>The fault reporting system put in place by in Nigeria power distribution companies have been found to be ineffective in capturing fault reports from customers. This has contributed to the increase in outage duration in distribution networks. This project successfully developed an effective and efficient fault reporting and management system for a Nigeria electric power distribution network. The developed system allows distribution network customers to make online reports of electrical faults in their properties. The system will also allow distribution networks’ fault monitoring teams

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10

Han, Dongsheng. "Guardianship Reporting System: A Comparative Legal Perspective." Scientific Journal Of Humanities and Social Sciences 7, no. 6 (2025): 1–11. https://doi.org/10.54691/3j2wz827.

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The aging of the population and the miniaturization of the family have intensified the need for guardianship, but the current guardianship supervision relies on ex post facto remedies, poses a vacuum of supervision and the risk of alienation of guardianship, and is unable to adapt to changes in the mental status of the ward. The U.S. Multi-Review Network and the innovative reporting model of the Beijing Civil Affairs Bureau and the Shanghai Jiading Court provide realistic models for system construction. China should introduce the concept of assisted decision-making, clarify the reporting respo

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11

Manu, K. L., H. P. Vijayashree, L. Srisha, and B. H. Varsha. "Accident emergency notification system." i-manager's Journal on Information Technology 14, no. 1 (2025): 1. https://doi.org/10.26634/jit.14.1.21754.

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This paper introduces the concept of an Accident Emergency Notification System (AENS) designed for improving the process of accident reporting. Timely accident reporting is vital for saving lives, and AENS serves as a dedicated platform to facilitate immediate accident notifications while ensuring an organized workflow. It addresses key challenges, such as notifying the accident victim's family, retrieving vehicle insurance information, and providing essential personal details to assist the law enforcement agencies in managing the situation. Accident Emergency Notification System integrates va

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12

HP, Vijayashree, and Manu KL. "Accident Emergency Notification System." International Research Journal of Computer Science 12, no. 04 (2025): 148–53. https://doi.org/10.26562/irjcs.2025.v1204.06.

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This paper introduces the concept of an "Accident Emergency Notification System (AENS)" designed for improving the process of accident reporting. Timely accident reporting is vital for saving lives, and AENS serves as a dedicated platform to facilitate immediate accident notifications while ensuring an organized work flow. It addresses key challenges, such as notifying the accident victim's family, retrieving vehicle insurance information, and providing essential personal details to assist the law enforcement agencies in managing the situation. Accident Emergency Notification System(AENS) inte

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13

Botsis, T., R. Ball, and J. Scott. "Simulating adverse event spontaneous reporting systems as preferential attachment networks." Applied Clinical Informatics 05, no. 01 (2014): 206–18. http://dx.doi.org/10.4338/aci-2013-11-ra-0097.

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SummaryBackground: Spontaneous Reporting Systems [SRS] are critical tools in the post-licensure evaluation of medical product safety. Regulatory authorities use a variety of data mining techniques to detect potential safety signals in SRS databases. Assessing the performance of such signal detection procedures requires simulated SRS databases, but simulation strategies proposed to date each have limitations.Objective: We sought to develop a novel SRS simulation strategy based on plausible mechanisms for the growth of databases over time.Methods: We developed a simulation strategy based on the

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14

Sun, Peng, Chi Yun Xu, and Jing Yang. "A Prediction Algorithm of Neural Network Applied in AMC Based on LTE System." Applied Mechanics and Materials 543-547 (March 2014): 2825–27. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2825.

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AMC technology has been widely applied in the LTE system due to its advantages , but the majority methods of AMC algorithm of CQI reporting ignores the influence of time delay error currently. This article first explores the delay effect of the error of CQI reporting and block error rate of the system through the simulation. Aiming at the influence of time delay error, a CQI reporting mechanism based on neural network is presented in this paper and we found this algorithm effectively solves the problems of the existence of time delay error through simulation on the improved basis.

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15

STRUCHEN, R., D. HADORN, F. WOHLFENDER, et al. "Experiences with a voluntary surveillance system for early detection of equine diseases in Switzerland." Epidemiology and Infection 144, no. 9 (2016): 1830–36. http://dx.doi.org/10.1017/s0950268816000091.

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SUMMARYClinical observations made by practitioners and reported using web- and mobile-based technologies may benefit disease surveillance by improving the timeliness of outbreak detection. Equinella is a voluntary electronic reporting and information system established for the early detection of infectious equine diseases in Switzerland. Sentinel veterinary practitioners have been able to report cases of non-notifiable diseases and clinical symptoms to an internet-based platform since November 2013. Telephone interviews were carried out during the first year to understand the motivating and co

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16

Zhang, Ruohao, Jean-Philippe Condomines, and Emmanuel Lochin. "A Multifractal Analysis and Machine Learning Based Intrusion Detection System with an Application in a UAS/RADAR System." Drones 6, no. 1 (2022): 21. http://dx.doi.org/10.3390/drones6010021.

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The rapid development of Internet of Things (IoT) technology, together with mobile network technology, has created a never-before-seen world of interconnection, evoking research on how to make it vaster, faster, and safer. To support the ongoing fight against the malicious misuse of networks, in this paper we propose a novel algorithm called AMDES (unmanned aerial system multifractal analysis intrusion detection system) for spoofing attack detection. This novel algorithm is based on both wavelet leader multifractal analysis (WLM) and machine learning (ML) principles. In earlier research on unm

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17

KHASHMAN, ADNAN. "BLOOD CELL IDENTIFICATION USING A SIMPLE NEURAL NETWORK." International Journal of Neural Systems 18, no. 05 (2008): 453–58. http://dx.doi.org/10.1142/s0129065708001713.

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Classification of blood cell types can be time consuming and susceptible to error due to the different morphological features of the cells. This paper presents a blood cell identification system that simulates a human visual inspection and identification of the three blood cell types. The proposed system uses global pattern averaging to extract cell features, and a neural network to classify the cell type. Two neural networks are investigated and a comparison between these networks is drawn. Experimental results suggest that the proposed system provides fast, simple and efficient identificatio

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18

Yu, Yang. "Encryption Technology for Computer Network Data Security Protection." Security and Communication Networks 2022 (August 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/1789222.

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In order to solve the network security problem of data encryption technology, this paper proposes a research method of computer network information security maintenance based on data encryption technology. Taking the network reporting system of a mining enterprise as the research object, this paper comprehensively expounds on the design of network reporting system and data encryption in network communication from the aspects of demand investigation, demand analysis, system design, software system development, and so on and implements the development by using BS architecture + independent clien

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19

To, Teresa, Susan M. Tarlo, Susan McLimont, et al. "Feasibility of a Provincial Voluntary Reporting System for Work-Related Asthma in Ontario." Canadian Respiratory Journal 18, no. 5 (2011): 275–77. http://dx.doi.org/10.1155/2011/541680.

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OBJECTIVE The Ontario Work-Related Asthma Surveillance System: Physician Reporting (OWRAS) Network was established in 2007 to estimate the prevalence of work-related asthma (WRA) in Ontario, and to test the feasibility of collecting data for cases of WRA from physicians voluntarily.METHODS: More than 300 respirologists, occupational medicine physicians, allergists and primary care providers in Ontario were invited to participate in monthly reporting of WRA cases by telephone, postal service or e-mail.RESULTS: Since 2007, 49 physicians have registered with the OWRAS Network and, to date, have r

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20

K, Saravanan, and V. Mathivananr. "Fibre Optic Infrastructure for Network Deployment Using Application System." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (2018): 311. http://dx.doi.org/10.11591/ijeecs.v9.i2.pp311-315.

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Fiber optic has an imperative part in the improvement of media communications framework in Indonesia. Better system execution and nature of the speed that offered by fiber optic can bolster the information prerequisite which keeps on expanding each year. In Indonesia, Fiber Optics is utilized as the essential system foundation Backbone and Access and still keep on developing the fiber optic system in Indonesia. Therefore, the process of reporting, controlling and monitoring are imperative for network deployment of fiber optic network by using an application system to be more efficient and acce

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21

TAKEOKA, HIDEKI. "The drilling reporting & data base deposit system computer network in japex." Journal of the Japanese Association for Petroleum Technology 54, no. 5 (1989): 401–7. http://dx.doi.org/10.3720/japt.54.401.

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22

Chu, Po-Ching, Hwan-Ran Fuh, Jiin-Chyuan Luo, et al. "The impact of occupational health service network and reporting system in Taiwan." International Journal of Occupational and Environmental Health 19, no. 4 (2013): 352–62. http://dx.doi.org/10.1179/2049396713y.0000000043.

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23

Khan, Rafiullah, and Sarmad Ullah Khan. "Design and implementation of an automated network monitoring and reporting back system." Journal of Industrial Information Integration 9 (March 2018): 24–34. http://dx.doi.org/10.1016/j.jii.2017.11.001.

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24

Turner, Claude, Dwight Richards, Ruth Agada, Jie Yan, Rolston Jeremiah, and Thomas Chapman. "LUCID Network Monitoring and Visualization Application." Journal of The Colloquium for Information Systems Security Education 9, no. 1 (2022): 8. http://dx.doi.org/10.53735/cisse.v9i1.151.

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This work presents LUCID Network Monitoring and Visualization Application (LNMVA), a comprehensive visualization software application for cyber security visualization. The application consists of five component types: components for monitoring network traffic, components for reporting various network messages, data storage components plus a visualization component and an automated animation reporting component. LNMVA can serve as an aid in teaching complex concepts in cybersecurity or to visually demonstrate active security events on a network to an audience or participants in the classroom or

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Castello, Paolo, Carlo Muscas, Paolo Attilio Pegoraro, and Sara Sulis. "Monitoring System Based on Phasor Measurement Units with Variable Reporting Rates." ACTA IMEKO 7, no. 4 (2019): 62. http://dx.doi.org/10.21014/acta_imeko.v7i4.585.

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Classical Wide-Area Monitoring Systems (WAMS) are characterized by a hierarchical architecture composed of Phasor Measurement Units (PMUs) and different levels of Phasor Data Concentrators (PDCs). The WAMS, based on synchrophasor technology, was originally designed for transmission systems; nevertheless, with the development of the smart grid paradigm, the benefits of this technology are being extended to the distribution network. Normally, PMUs send measurement data at a high and constant reporting rate to guarantee the monitoring of dynamic events in an electric transmission network. However

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No authors listed. "Communicable Diseases Surveillance: CDI volume 34 issue 4 (2010)." Communicable Diseases Intelligence 34 (December 1, 2010): 459–77. https://doi.org/10.33321/cdi.2010.34.47.

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Communicable diseases surveillance outcomes from several reporting series as follows: National Notifiable Diseases Surveillance System tables, 1 July to 30 September 2010; Laboratory Serology and Virology Reporting Scheme tables, 1 July to 30 September 2010; National Notifiable Diseases Surveillance System tables, 1 July to 30 September 2010; Australian Sentinel Practices Research Network, reporting period 1 July to 30 September 2010; Gonococcal surveillance, reporting period 1 April to 30 June 2010; HIV and AIDS surveillance, reporting period 1 October to 31 December 2009; Meningococcal surve

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27

Saeed, Bilal, Khalil Shahid, and Zeeshan Khan. "Development and Simulation of Next Generation SDH Network Management System." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, no. 3 (2014): 3361–65. http://dx.doi.org/10.24297/ijct.v12i3.3246.

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In present scenario Network Management System of Next Generation SDH is not performing Offline reporting, offline analysis of alarms, offline performance management and Configurations of network like real time. Any offline configuration of a network when implemented on a real time environment leaves some shortcomings and wrong configuration attributes due to non-availability of Alarms and Performance Management in the presently available offline utility. A simulated platform is developed for implementation of a traffic matrix in an offline environment before implementing over a real time NG SD

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28

Wong, Zoie Shui-Yee, HY So, Belinda SC Kwok, Mavis WS Lai, and David TF Sun. "Medication-rights detection using incident reports: A natural language processing and deep neural network approach." Health Informatics Journal 26, no. 3 (2019): 1777–94. http://dx.doi.org/10.1177/1460458219889798.

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Medication errors often occurred due to the breach of medication rights that are the right patient, the right drug, the right time, the right dose and the right route. The aim of this study was to develop a medication-rights detection system using natural language processing and deep neural networks to automate medication-incident identification using free-text incident reports. We assessed the performance of deep neural network models in classifying the Advanced Incident Reporting System reports and compared the models’ performance with that of other common classification methods (including l

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29

Amadi, Dwi Nor, Arief Budiman, and Pradityo Utomo. "Analysis of the effectiveness of VPN and PPTP Protocol in E-Link Health Report Application Using NDLC Method." Journal of Information Systems and Informatics 6, no. 2 (2024): 949–58. http://dx.doi.org/10.51519/journalisi.v6i2.746.

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The rapid development of computer networks and data communications has significantly impacted all government sectors in Indonesia. The Madiun Regency Health Service relies on a web-based health reporting application, E-link Health Report, to manage health information data from community health centers. However, this application is vulnerable to cyber-attacks, necessitating enhanced security measures. To address this issue, the health service implemented a Virtual Private Network (VPN) using the Point-to-Point Tunneling Protocol (PPTP) to bolster system security. The aim of this research is to

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30

Recioui, AEM, Yasser Mokhbi, and Aymen Mecheri. "Wide-Area Network State Monitoring System Based On LoRa Communication." Algerian Journal of Signals and Systems 6, no. 4 (2021): 214–19. http://dx.doi.org/10.51485/ajss.v6i4.144.

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To meet the requirements of long range, small amount of data transmission, better data correctnessand less delay,a wide-Area Network State Monitoring System approach based on LoRa communication is discussed in our Project. The objective is to study and test the performance of Two communication techniques used in wide area monitoring system, a single input single output (SISO) system and a multiple input multiple output system (MIMO) in terms ofBit Error Rate(BER) with varying the signal to noise Ratio(SNR).In addition, we study the Wide Area Monitoring system based on LoRa communication. The I

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31

No authors listed. "Communicable Diseases Surveillance: CDI volume 31 issue 4 (2007)." Communicable Diseases Intelligence 31 (December 1, 2007): 425–43. https://doi.org/10.33321/cdi-2007-31-50.

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Includes:Highlights for 3rd quarter, 2007 (sexually transmissible infections, vaccine preventable diseases);National Notifiable Diseases Surveillance System tables, 1 July to 30 September 2007;Laboratory Serology and Virology Reporting Scheme tables, 1 July to 30 September 2007;Australian Sentinel Practices Research Network, reporting period 1 July to 30 September 2007;Australian childhood immunisation coverage, 1 April to 30 June 2007 cohort, assessed as at 30 September 2007;Gonococcal surveillance, reporting period 1 April to 30 June 2007;Meningococcal surveillance, reporting period 1 July t

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32

No authors listed. "Communicable Diseases Surveillance: CDI volume 31 issue 4 (2007)." Communicable Diseases Intelligence 31 (December 1, 2007): 425–43. https://doi.org/10.33321/cdi.2007.31.50.

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Includes:Highlights for 3rd quarter, 2007 (sexually transmissible infections, vaccine preventable diseases);National Notifiable Diseases Surveillance System tables, 1 July to 30 September 2007;Laboratory Serology and Virology Reporting Scheme tables, 1 July to 30 September 2007;Australian Sentinel Practices Research Network, reporting period 1 July to 30 September 2007;Australian childhood immunisation coverage, 1 April to 30 June 2007 cohort, assessed as at 30 September 2007;Gonococcal surveillance, reporting period 1 April to 30 June 2007;Meningococcal surveillance, reporting period 1 July t

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33

No authors listed. "Communicable Diseases Surveillance: CDI volume 20 issue 23 (1996)." Communicable Diseases Intelligence 20 (November 11, 1996): 496–502. https://doi.org/10.33321/cdi.1996.20.82.

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Communicable diseases surveillance outcomes from several reporting series as follows: National Notifiable Diseases Surveillance System tables, 13 to 26 October 1996;Australian Sentinel Practice Research Network report tables, weeks 42 and 43, 1996;Gonococcal surveillance, reporting period 1 January to 31 March 1996;Laboratory Serology and Virology Reporting Scheme tables, 17 to 30 October 1996.

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34

Dewan, Shameem A., and Roger E. Smith. "Modifying Local Agency Pavement Management System to Support Governmental Accounting Standards Board 34 Requirements." Transportation Research Record: Journal of the Transportation Research Board 1819, no. 1 (2003): 15–23. http://dx.doi.org/10.3141/1819a-04.

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The Metropolitan Transportation Commission pavement management system (MTC PMS) has been used by many cities and counties in the United States for more than 15 years. MTC PMS was evaluated to determine the extent to which the software can support the Governmental Accounting Standards Board (GASB) 34 reporting requirements, established in 1999. A local agency PMS can take information from a pavement network database to produce useful reports, which can be utilized jointly with the information from other assets managed by an agency to support the requirements for a comprehensive asset management

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35

No authors listed. "Communicable Diseases Surveillance: CDI volume 35 issue 4 (2011)." Communicable Diseases Intelligence 35 (December 1, 2011): 321–38. https://doi.org/10.33321/cdi.2011.35.32.

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Communicable diseases surveillance outcomes from several reporting series as follows: National Notifiable Diseases Surveillance System tables, 1 July to 30 September 2011; Australian childhood immunisation coverage, 1 October to 31 December 2010 cohort, assessed as at 31 March 2011; Australian childhood immunisation coverage, 1 January to 31 March 2011 cohort, assessed as at 30 June 2011; Australian childhood immunisation coverage, 1 April to 30 June 2011 cohort, assessed as at 30 September 2011; Australian Sentinel Practices Research Network, reporting period 1 April to 30 June 2011; Australi

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36

No authors listed. "Communicable Diseases Surveillance: CDI volume 35 issue 2 (2011)." Communicable Diseases Intelligence 35 (June 1, 2011): 202–16. https://doi.org/10.33321/cdi.2011.35.19.

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Communicable diseases surveillance outcomes from several reporting series as follows: National Notifiable Diseases Surveillance System tables, 1 January to 31 March 2011; Laboratory Serology and Virology Reporting Scheme tables, 1 January to 31 March 2011; Australian Sentinel Practices Research Network, reporting period 1 January to 31 March 2011; Meningococcal surveillance, reporting period 1 January to 31 March 2011; HIV and AIDS surveillance, reporting period 1 January to 31 March 2010; HIV and AIDS surveillance, reporting period 1 April to 30 June 2010.

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37

Yao, Shuang Liang, and Shuang Tong Wang. "The Research of the Second Class Credit in the Credit System." Advanced Materials Research 989-994 (July 2014): 5209–12. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5209.

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In order to solve the problem of the second class credit reporting in manual states, we use the system flow diagrams and case diagrams to analysis the needs of users, and use ER diagrams to introduce the SQL database。This article designs the system of the second class credit reporting based on the campus network. The system uses C # as the development language, SQL Server database as a background and Microsoft Visual Studio 2010 as the development environment, with high security and stability.

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38

Syah, Naufal Galfan, and Arif Senja Fitrani. "Hardware Asset Recording Information System Based on Web at PT. Smart Connect." Procedia of Engineering and Life Science 7 (March 13, 2024): 251–61. http://dx.doi.org/10.21070/pels.v7i0.1457.

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PT. Smart Connect is an IT company that focuses on the design, development, and maintenance of LAN and WAN networks, network routers, and websites. The company has many assets in the form of computer network devices that need to be recorded meticulously. Currently, asset recording is still done manually using Google Spreadsheet, which is considered less effective and time-consuming. In the rapidly evolving digital era, the utilization of technology and information systems has become crucial. The proper use of information systems can enhance efficiency in managing asset data and facilitate info

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No authors listed. "Communicable Diseases Surveillance: CDI volume 32 issue 1 (2008)." Communicable Diseases Intelligence 32 (March 1, 2008): 104–25. https://doi.org/10.33321/cdi.2008.32.16.

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Includes: Highlights for 4th quarter, 2007 (gastrointestinal disease, sexually transmitted diseases, vaccine preventable diseases, other bacterial infections);National Notifiable Diseases Surveillance System tables, 1 October to 31 December 2007;Laboratory Serology and Virology Reporting Scheme tables, 1 October to 31 December 2007;Australian Sentinel Practices Research Network, reporting period 1 October to 31 December 2007;Gonococcal surveillance, reporting period 1 July to 30 September 2007;HIV and AIDS surveillance, reporting period 1 April to 30 June 2007;HIV and AIDS surveillance, report

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40

No authors listed. "Communicable Diseases Surveillance: CDI volume 31 issue 1 (2007)." Communicable Diseases Intelligence 31 (March 1, 2007): 134–54. https://doi.org/10.33321/cdi.2007.31.11.

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Communicable diseases surveillance outcomes from several reporting series as follows: Highlights for 4th quarter, 2006 (gastrointestinal disease, quarantinable diseases, sexually transmitted diseases, vaccine preventable diseases, vectorborne diseases);National Notifiable Diseases Surveillance System tables, 1 October to 31 December 2006;Laboratory Serology and Virology Reporting Scheme tables, 1 October to 31 December 2006;Australian Sentinel Practices Research Network, reporting period 1 October to 31 December 2006;Australian childhood immunisation coverage, 1 July to 30 September 2006 cohor

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41

Syam, Nur Syarainingsih, Eko Yanuardi, and Siti Kurnia Widi Hastuti. "The evaluation of patient safety incident reporting at the Yogyakarta Gondomanan Health Center using the Health Matrix Network." Riset Informasi Kesehatan 12, no. 1 (2023): 116. http://dx.doi.org/10.30644/rik.v12i1.740.

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Background: Based on patient safety incident data, the Ministry of Health, it is known that incident cases that occurred in the Special Region of Yogyakarta Province were 13.8%. Based on Patient safetyâ€™s policy in Indonesia namely PMK No. 11 of 2017 concerning patient safety states that every health service facility is required to have an information system that is used to improve patient safety, including the health center. The purpose of this study was to evaluate the use of the patient safety incident information system at the Gondomanan Health Center by using the Health Matrix Networks.&

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42

Daneshgar, Farzad, Kaveh Farokhi Sadabadi, and Ali Haghani. "A Conflation Methodology for Two GIS Roadway Networks and Its Application in Performance Measurements." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 45 (2018): 284–93. http://dx.doi.org/10.1177/0361198118793000.

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In the current environment, in which private sector organizations play an ever increasing role in providing traffic data and tend to report data based on proprietary maps, it is inevitable that public sector agencies will want to adapt the spatial data and to use it in their legacy systems. Thus, for the same transportation infrastructures, a variety of GIS roadway datasets based on different highway reference location systems and segmentations are developed. This paper presents a method and a workflow to conflate such networks. The matching process usually involves projecting one network onto

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43

No authors listed. "Communicable Diseases Surveillance: CDI volume 20 issue 22 (1996)." Communicable Diseases Intelligence 20 (October 28, 1996): 484–90. https://doi.org/10.33321/cdi.1996.20.80.

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Communicable diseases surveillance outcomes from several reporting series as follows:National Notifiable Diseases Surveillance System tables, 29 September to 12 October 1996;HIV and AIDS surveillance, reporting period 1 to 31 May 1996, assessed as at 31 August 1996;Australian Sentinel Practice Research Network report tables, weeks 40 and 41, 1996;Sentinel chicken surveillance program, reporting period July and August 1996;Laboratory Serology and Virology Reporting Scheme tables, 3 to 16 October 1996.

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44

No authors listed. "Communicable Diseases Surveillance: CDI volume 34 issue 2 (2010)." Communicable Diseases Intelligence 34 (June 1, 2010): 137–51. https://doi.org/10.33321/cdi.2010.34.20.

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Communicable diseases surveillance outcomes from several reporting series as follows: National Notifiable Diseases Surveillance System tables, 1 January to 31 March 2010; Laboratory Serology and Virology Reporting Scheme tables, 1 January to 31 March 2010; Australian childhood immunisation coverage, 1 October to 31 December 2009 cohort, assessed as at 31 March 2010; Meningococcal surveillance, reporting period 1 January to 31 March 2010;Australian Sentinel Practices Research Network, reporting period 1 January to 31 March 2010.

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45

No authors listed. "Communicable Diseases Surveillance: CDI volume 36 issue 3 (2012)." Communicable Diseases Intelligence 36 (September 1, 2012): 301–13. https://doi.org/10.33321/cdi.2012.36.26.

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Communicable diseases surveillance outcomes from several reporting series as follows: National Notifiable Diseases Surveillance System tables, 1 April to 30 June 2012; Australian childhood immunisation coverage, 1 January to 31 March 2012 cohort, assessed as at 30 June 2012; Australian Sentinel Practices Research Network, reporting period 1 April to 30 June 2012; Gonococcal surveillance, reporting period 1 April to 30 June 2012; Meningococcal surveillance, reporting period 1 July to 30 September 2012.

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No author listed. "Communicable Diseases Surveillance: CDI volume 27 issue 2 (2003)." Communicable Diseases Intelligence 27 (June 30, 2002): 285–305. https://doi.org/10.33321/cdi.2003.27.55.

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Communicable diseases surveillance highlights for 4th quarter, 2002 (gastrointestinal disease, sexually transmissible diseases, vaccine preventable diseases, vectorborne diseases), and surveillance outcomes from several reporting series as follows:National Notifiable Diseases Surveillance System tables, 1 January to 31 March 2003;Laboratory Serology and Virology Reporting Scheme tables, 1 January to 31 March 2003;Australian Sentinel Practices Research Network, reporting period 1 January to 31 March 2003;Australian Paediatric Surveillance Unit (APSU), reporting period 1 January to 30 December 2

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No authors listed. "Communicable Diseases Surveillance: CDI volume 28 issue 1 (2004)." Communicable Diseases Intelligence 28 (March 30, 2004): 103–22. https://doi.org/10.33321/cdi.2004.28.10.

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Communicable diseases surveillance outcomes from several reporting series as follows: Communicable Diseases Surveillance: Highlights for 4th quarter, 2003 (gastrointestinal diseases, vaccine preventable diseases, vectorborne diseases);National Notifiable Diseases Surveillance System tables, 1 October to 31 December 2003;Laboratory Serology and Virology Reporting Scheme tables, 1 October to 31 December 2003;Australian Sentinel Practices Research Network, reporting period 1 October to 31 December 2003;Gonococcal surveillance, reporting period 1 July to 30 September 2003;HIV and AIDS surveillance

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No authors listed. "Communicable Diseases Surveillance: CDI volume 29 issue 1 (2005)." Communicable Diseases Intelligence 29 (March 1, 2005): 101–9. https://doi.org/10.33321/cdi.2005.29.10.

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Communicable diseases surveillance outcomes from several reporting series as follows: Highlights for 4th quarter, 2004 (gastrointestinal illness, vaccine preventable diseases, vectorborne diseases, zoonoses, other bacterial infections);National Notifiable Diseases Surveillance System tables, 1 October to 31 December 2004;Laboratory Serology and Virology Reporting Scheme tables, 1 October to 31 December 2004;Australian Sentinel Practices Research Network, reporting period 1 October to 31 December 2004;Australian childhood immunisation coverage, 1 July to 30 September 2004 cohort, assessed as at

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No authors listed. "Communicable Diseases Surveillance: CDI volume 29 issue 2 (2005)." Communicable Diseases Intelligence 29 (June 1, 2005): 204–23. https://doi.org/10.33321/cdi.2005.29.21.

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Communicable diseases surveillance outcomes from several reporting series as follows: Highlights for 1st quarter, 2005 (gastrointestinal illnesses, quarantinable diseases, vaccine preventable diseases, vectorborne diseases, zoonoses, other bacterial infections);National Notifiable Diseases Surveillance System tables, 1 January to 31 March 2005;Laboratory Serology and Virology Reporting Scheme tables, 1 January to 31 March 2005;Australian Sentinel Practices Research Network, reporting period 1 January to 31 March 2005;Australian childhood immunisation coverage, 1 October to 31 December 2004 coh

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No authors listed. "Communicable Diseases Surveillance: CDI volume 28 issue 4 (2004)." Communicable Diseases Intelligence 28 (December 31, 2004): 531–52. https://doi.org/10.33321/cdi.2004.28.64.

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Communicable diseases surveillance outcomes from several reporting series as follows:Highlights for 3rd quarter, 2004 (gastrointestinal diseases, quarantinable diseases, vaccine preventable diseases, other bacterial infections, other diseases);National Notifiable Diseases Surveillance System tables, 1 July to 30 September 2004;Laboratory Serology and Virology Reporting Scheme tables, 1 July to 30 September 2004;Australian Sentinel Practices Research Network, reporting period 1 July to 30 September 2004;Australian childhood immunisation coverage, 1 April to 30 June 2004 cohort, assessed as at 3

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