From Subsurface to Riser: An Integrated Approach to Subsea Surveillance

Author(s):  
Jon Machin

The high reliability performance of a subsea surveillance system, from subsurface to riser, is of the utmost importance for maximizing production availability. In designing such a surveillance system, there are a multitude of considerations that need to be addressed. These have traditionally focused on safe and cost effective production control system availability. However, they are now being extended to also address enablers for secondary recovery, production optimization, and increased recovery activities. This paper addresses the idea that latest-generation surveillance systems must operate seamlessly from the subsurface to the seabed and in turn from seabed to riser. In doing so they must integrate a number of key enabling technologies over different physical layers and predefined technical interfaces. They must also serve to integrate these technologies over the project management interfaces which arise from the selection of the different proprietary technologies, and the commercial and contractual barriers which can result.

Author(s):  
J. Michaloski ◽  
F. Proctor ◽  
J. Arinez ◽  
J. Berglund

The advent of improved factory data collection offers a prime opportunity to continuously study and optimize factory operations. Although manufacturing optimization tools can be considered mainstream technology, most U.S. manufacturers do not take full advantage of such technology because of the time-intensive procedures required to manually develop models, deal with factory data acquisition problems, and resolve the incompatibility of factory and optimization data representations. Therefore, automated data acquisition, automated generation of production models, and the automated integration of data into the production models are required for any optimization analysis to be timely and cost effective. In this paper, we develop a system methodology and software framework for the optimization of production systems in a more efficient manner towards the goal of fully automated optimization. The case study of an automotive casting operation shows that a highly integrated approach enables the modeling and simulation of the complex casting operation in a responsive, cost-effective and exacting nature. Technology gaps and interim strategies will be discussed.


Author(s):  
Saeed Mina Qaisar ◽  
Dija Sidiya ◽  
Mohammad Akbar ◽  
Abdulhamit Subasi

Traditional surveillance systems are constrained because of a fixed and preset pattern of monitoring. It can reduce the reliability of the system and cause an increased generation of false alarms. It results in an increased processing activity of the system, which causes an augmented consumption of system resources and power. Within this framework, a human surveillance system is proposed based on the event-driven awakening and self-organization principle. The proposed system overcomes these downsides up to a certain level. It is achieved by intelligently merging an assembly of sensors with two cameras, actuators, a lighting module and cost-effective embedded processors. With the exception of low-power event detectors, all other system modules remain in the sleep mode. These modules are activated only upon detection of an event and as a function of the sensing environment condition. It reduces power consumption and processing activity of the proposed system. An effective combination of a sensor assembly and a robust classifier suppresses generation of false alarms and improves system reliability. An experimental setup is realized in order to verify the functionality of the proposed system. Results confirm proper functionality of the implemented system. A 62.3-fold system memory utilization and bandwidth consumption reduction compared to traditional counterparts is achieved, i.e. a result of the proposed system self-organization and event-driven awakening features. It confirms that the proposed system outperforms its classical counterparts in terms of processing activity, power consumption and usage of resources


2014 ◽  
Vol 35 (6) ◽  
pp. 646-651 ◽  
Author(s):  
Leslie Grammatico-Guillon ◽  
Sabine Baron ◽  
Christophe Gaborit ◽  
Emmanuel Rusch ◽  
Pascal Astagneau

Objective.Surgical site infection (SSI) surveillance represents a key method of nosocomial infection control programs worldwide. However, most SSI surveillance systems are considered to be poorly cost effective regarding human and economic resources required for data collection and patient follow up. This study aims to assess the efficacy of using hospital discharge databases (HDDs) as a routine surveillance system for detecting hip or knee arthroplasty–related infections (HKAIs).Methods.A case-control study was conducted among patients hospitalized in the Centre region of France between 2008 and 2010. HKAI cases were extracted from the HDD with various algorithms based on the International Classification of Diseases, Tenth Revision, and procedure codes. The control subjects were patients with hip or knee arthroplasty (HKA) without infection selected at random from the HDD during the study period. The gold standard was medical chart review. Sensitivity (Se), specificity (Spe), positive predictive value (PPV), and negative predictive value (NPV) were calculated to evaluate the efficacy of the surveillance system.Results.Among 18,265 hospital stays for HKA, corresponding to 17,388 patients, medical reports were checked for 1,010 hospital stays (989 patients). We identified 530 cases in total (incidence rate, 1% [95% confidence interval (CI), 0.4%–1.6%), and 333 cases were detected by routine surveillance. As compared with 480 controls, Se was 98%, Spe was 71%, PPV was 63%, and NPV was 99%. Using a more specific case definition, based on a sample of 681 hospital stays, Se was 97%, Spe was 95%, PPV was 87%, and NPV was 98%.Conclusions.This study demonstrates the potential of HDD as a tool for routine SSI surveillance after low-risk surgery, under conditions of having an appropriate algorithm for selecting infections.Infect Control Hosp Epidemiol 2014;35(6):646–651


1995 ◽  
Vol 390 ◽  
Author(s):  
Dale L. Robinson ◽  
David B. Clegg

ABSTRACTChip-on-Board technology (COB), or the currently more often used MCM-L acronym (MultiChip Module - Laminate), has long been touted as the low cost, high density electronics packaging choice of the future. Unfortunately, poor reliability performance in comparison to traditional plastic packaging, has been a trademark of COB/MCM-L. Recent advances in processes and materials for COB/MCM-L are providing a paradigm shift in reliability, and providing cost effective high reliability packaging solutions for COB/MCM-L. This paper examines the history of recent advances in liquid encapsulated COB/MCM-L and provides guidelines for selecting appropriate materials and processes for their successful implementation into cost effective manufacturing.


2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Dennis Ip ◽  
Eric H.Y. Lau ◽  
Yat-hung Tam ◽  
Teresa So ◽  
Chi-kin Lam ◽  
...  

We evaluated the performance of an electronic smart-card based school absenteeism surveillance system which was initiated in 2008 in Hong Kong. The result demonstrated the feasibility and potential benefit of employing electronic school absenteeism data as captured automatically by a smart card system as an alternative data stream for monitoring influenza activities, and flexibility in establishing surveillance for emerging diseases. The increasing popularity of usage of smart card technology in various community settings might also represent potentially timely and cost-effective opportunities for innovative surveillance systems.


2012 ◽  
Vol 2012 (DPC) ◽  
pp. 1-32
Author(s):  
Senthil Sivaswamy ◽  
Theodore (Ted) G. Tessier ◽  
Tony Curtis ◽  
David Clark ◽  
Kazuhisa Itoi ◽  
...  

Fan-Out Wafer Level Packaging (FO-WLP) technology has been developed in recent years to overcome the limitations of Fan-in WLP (FI-WLP) packages and to add more functionality to WLP. Fan-Out packages expand the WLP market to higher pin count devices and add multiple die System in Package (SiP) capability. In this paper, a novel approach to low cost fan-out packaging based on polyimide flex circuits and wafer level Embedded Die Customization (EDC) is discussed. ChipletT refers to Fan-Out packaging. ChipsetT refers to System in Package developed with WABE (Wafer and Board Level Embedding) technology. WABE technology is based on co-lamination of multi layer polyimide flex wiring and conductive z-axis sintered metal interconnections. Using WABE technology, ultra thin fan-out packages (0.4mm) can be fabricated with lower processing costs, higher throughput and with 3D extendibility. Embedded Die Customization is performed at the wafer level and involves optimization of the die-to-embedding process by using optimized wafer level processing capabilities including polymer processing, copper plating and wafer thinning. Reliability of the ChipletT packages, both component level and board level is evaluated. ChipletT packages show high reliability in component level testing and board level testing (Thermal Cycling and Drop Testing). The thermal performance of ChipletT packages were also evaluated in this study. Thermal resistance parameters θja and θjc were simulated with and without thermal vias for both face up and face down configurations. ChipletT provides a new low cost fan out packaging option with proven component level and board level reliability performance.


2020 ◽  
Vol 2020 (3) ◽  
pp. 60408-1-60408-10
Author(s):  
Kenly Maldonado ◽  
Steve Simske

The principal objective of this research is to create a system that is quickly deployable, scalable, adaptable, and intelligent and provides cost-effective surveillance, both locally and globally. The intelligent surveillance system should be capable of rapid implementation to track (monitor) sensitive materials, i.e., radioactive or weapons stockpiles and person(s) within rooms, buildings, and/or areas in order to predict potential incidents proactively (versus reactively) through intelligence, locally and globally. The system will incorporate a combination of electronic systems that include commercial and modifiable off-the-shelf microcomputers to create a microcomputer cluster which acts as a mini supercomputer which leverages real-time data feed if a potential threat is present. Through programming, software, and intelligence (artificial intelligence, machine learning, and neural networks), the system should be capable of monitoring, tracking, and warning (communicating) the system observer operations (command and control) within a few minutes when sensitive materials are at potential risk for loss. The potential customer is government agencies looking to control sensitive materials and/or items in developing world markets intelligently, economically, and quickly.


2020 ◽  
Author(s):  
HeeKyung Choi ◽  
Won Suk Choi ◽  
Euna Han

BACKGROUND Influenza is an important public health concern. A national surveillance system that easily and rapidly detects influenza epidemics is lacking. OBJECTIVE We assumed that the rate of influenza-like illness (ILI) related-claims is similar to the current ILI surveillance system. METHODS We used the Health Insurance Review and Assessment Service-National Patient Samples (HIRA-NPS), 2014-2018. We defined ILI-related claims as outpatient claims that contain both antipyretic and antitussive agents and calculated the weekly rate of ILI-related claims. We compared ILI-related claims and weekly ILI rates from clinical sentinel surveillance data. RESULTS We observed a strong correlation between the two surveillance systems each season. The absolute thresholds for the four-years were 84.64 and 86.19 cases claims per 1,000 claims for claims data and 12.27 and 16.82 per 1,000 patients for sentinel data (Figure 5). Both the claims and sentinel data surpassed the epidemic thresholds each season. The peak epidemic in the claims data was reached one to two weeks later than in the sentinel data. The epidemic patterns were more similar in the 2016-2017 and 2017-2018 seasons than the 2014-2015 and 2015-2016 seasons. CONCLUSIONS Based on hospital reports, ILI-related claims rates were similar to the ILI surveillance system. ILI claims data can be loaded to a drug utilization review system in Korea to make an influenza surveillance system.


Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4419
Author(s):  
Hao Li ◽  
Tianhao Xiezhang ◽  
Cheng Yang ◽  
Lianbing Deng ◽  
Peng Yi

In the construction process of smart cities, more and more video surveillance systems have been deployed for traffic, office buildings, shopping malls, and families. Thus, the security of video surveillance systems has attracted more attention. At present, many researchers focus on how to select the region of interest (RoI) accurately and then realize privacy protection in videos by selective encryption. However, relatively few researchers focus on building a security framework by analyzing the security of a video surveillance system from the system and data life cycle. By analyzing the surveillance video protection and the attack surface of a video surveillance system in a smart city, we constructed a secure surveillance framework in this manuscript. In the secure framework, a secure video surveillance model is proposed, and a secure authentication protocol that can resist man-in-the-middle attacks (MITM) and replay attacks is implemented. For the management of the video encryption key, we introduced the Chinese remainder theorem (CRT) on the basis of group key management to provide an efficient and secure key update. In addition, we built a decryption suite based on transparent encryption to ensure the security of the decryption environment. The security analysis proved that our system can guarantee the forward and backward security of the key update. In the experiment environment, the average decryption speed of our system can reach 91.47 Mb/s, which can meet the real-time requirement of practical applications.


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