Data Storage Analysis Research Articles

Novel data visualization and risk analytic algorithm in a low-middle income country.

To discuss the use of T3™, a data aggregation, visualization, and risk analytic platform in a single centre and its framework for implementation of such a tool in clinical care. We share experience of a tool implemented in a tertiary care Intensive Care Unit (ICU) with limited resources. Superusers were identified and trained. Implementation involved monitoring, evaluation, and user engagement data for continuous emphasis on the use of this tool. Persistent display of T3 data enhanced nursing operational efficiency. Its use was expanded to use in nurses rounds and handover, mortality and morbidity meetings, clinical team teaching through selected teaching cases and analysis of stored data with different research questions. However, lack of infrastructure and technological comprehension, paucity of multidisciplinary teams makes it a challenge in its implementation. Clear framework of implantation and pre-designed studies to determine the clinical usage and effectiveness are important for wide-spread use of such tools.

Development and Application of an Integrated Monitoring and Early Warning Platform for Land Transportation Infrastructure under Special Engineering Conditions

To ensure the safety service performance of land transportation infrastructure under special engineering conditions, centering on the characteristics of structures such as the road high-steep slope, high embankment, special subgrade, railway track, and airport pavement, an integrated monitoring and early warning platform based on health monitoring and safety evaluation was built through the combined design of the safety indicator module, monitoring data module, information processing module, numerical simulation module, inversion prediction analysis module, and safety early warning module. The data interaction between the integrated platform and five monitoring subplatforms was realized by the B/S mode, and the related function interfaces were established. The research results show that as the monitoring data storage analysis and early warning carrier, the integrated monitoring and early warning platform not only presents key data such as comprehensive early warning information, evaluation indicators, and monitoring elements but also realizes the intelligent, automatic, and visual presentation of monitoring data. In addition, relying on the high-steep slope of the Hohhot-Bikeqi Highway (section: K528+215~K528+525), through the application of the high-steep slope monitoring and early warning subplatform system in the practical project, it is verified that the platform has a good monitoring and early warning effect, which provides a reliable platform guarantee for the health monitoring and safety operation of the project.

Numerical Control Machine Optimization Technologies through Analysis of Machining History Data Using Digital Twin

In numerical control (NC)-based machining, NC data-based tool paths affect both quality and productivity. NC data are generated according to cutting conditions. However, NC data causing excessive cutting load can accelerate tool wear and even result in tool damage. In the opposite case, increasing machining time can affect productivity. NC data can influence surface quality from the perspective of cutting dynamics according to machine tool–material–tool combination. There have been a lot of studies on tool-path optimization. However, it is impossible to perfectly predict cutting dynamics such as tool wear, material non-uniformity, chatter, and spindle deformation. In fact, such prediction-based tool-path optimization can cause errors. Therefore, this study attempts to synchronize spindle load and NC data and uniformize the machining load through the analysis of stored data using digital-twin technology, which stores and manages machining history. Uniformizing machining load can reduce rapid traverse in the event of no load, feed rate in an overload area, and shock on a tool when the tool and material are met by adding approach feed. Analyzing results of the attempts proposed in this paper, the chatter was completely removed in the machining with D100 and D16, although some chatter remained in the machining with D25 and D16R3 tools. In addition, the processing time could be reduced from a minimum of 7% to a maximum of 50% after optimization.

System Monitors Sandface for Deepwater Offshore Gas-Hydrate Production

This article, written by Special Publications Editor Adam Wilson, contains highlights of paper OTC 25328, ’A Deepwater Sandface-Monitoring System for Offshore Gas- Hydrate Production,’ by S. Chee, SPE, T. Leokprasirtkul, T. Kanno, O. Osawa, Y. Sudo, M. Takekoshi, and H. Yu, SPE, Schlumberger, and K. Yamamoto, Japan Oil, Gas, and Metals National Corporation, prepared for the 2014 Offshore Technology Conference, Houston, 5-8 May. The paper has not been peer reviewed. The world’s first offshore gas-hydrate production was carried out successfully in deepwater Japan at Nankai trough in 2013. In this project, one production well and two sandface monitoring wells were drilled and installed with a combination of distributed-temperature-sensing (DTS) and array-type resistance-temperature- detector (RTD) sensors. The objective of the sandface-monitoring system was to capture the hydrate-dissociation front dynamically changing during the production test and to monitor long-term reservoir stability with the selected temperature sensors. Introduction Interest is growing worldwide in methane hydrate as a unique and challenging natural-gas resource. In order to produce and use these resources, it is necessary to establish the production technology and understand how methane-hydrate dissociation behaves. Japan has studied methane-hydrate exploration during the past decades and planned to conduct the world’s first offshore methane-hydrate production test in 2013. In such a production test, the dissociation progress and the stability of the methane-hydrate reservoir can be captured by long-term continuous temperature monitoring, which is conducted in real time and autonomously before, during, and after the production test. One of the more challenging requirements is that the deepwater sandface-monitoring system must be self-operated by subsea battery without cable connection from the surface for a long-term monitoring period of 18 months. Thus, the reliability and redundancy of the monitoring system were key design challenges above data measurement quality and offshore deployment tasks. Outline of the Sandface-Monitoring Wells One production well and two monitoring wells were drilled. The methane-hydrate reservoir in the Nankai-trough area has methane-hydrate-bearing sand-rich intervals in turbidite fan deposits. For the production test, approximately 50 m of methane-hydrate zone was selected that is located in shallow unconsolidated reservoir approximately 300 m below the seafloor in a water depth of 1000 m. Deepwater sandface-monitoring systems were deployed in the two monitoring wells in the first quarter of 2012, approximately a year before the methane-hydrate production test started in the first quarter of 2013. The production test continued for a week, and then the recovery of the sandface-monitoring systems was performed in the third quarter of 2013. Therefore, the in-situ temperature monitoring started 1 year before the production of methane hydrate and continued for approximately half a year after the production test in order to monitor the long-term stability of the methane-hydrate- reservoir behavior. After the monitoring system was recovered from the seafloor, temperature data were retrieved from data storage for analysis.

Remote Real - Time Process and Production Monitoring Mechanism of Lighting Parts for Outdoor Recreation

This study collected and analyzed Light -Emitting Diode (LED) parameters (forward conduction voltage VF, reversed breakdown voltage , and reversed linkage current) and output information in testing LED back-end process and packaging. Moreover, it developed a remote control operation platform using LabVIEW of national instruments (NI), and providedan interface for user operation, data storage analysis , and specification evaluation. Accordingly, a remote real -time process monitoring and automatic production specification checking mechanism can be developed to replace traditional manual quality control operation, which directly deliver light-emitting diodes, while reducing high labor and production costs. Through evaluation of the proposed real-time process capability, the collected light -emitting diode parameters are automatically adjusted tothe production specifications, which meet the process capability and are returned to the testing instrument in real time . The products can thus meet the process capability of the batch, the rework rate can be effectively reduced, andthe passing rate of delivery quality control can be improved. The proposed remote real-time process monitoring and automatic production specification checking mechanism can analyze and evaluate production specification data, and monitor and store historical data for the long term in conjunction with the database system . Moreover, the light-emitting diode can be automatically checked bythe evaluation process capability in order to improve production technology and process parameters. Thus, a solution forthe optimization of light-emitting diode parameter specifications can be established to promote effective management of production equipment, improve production efficiency, and integrate production flow.

Design of Greenhouse Control Engine of Optimal to Minimize the Energy Costs

In this paper, I have revised and supplement the Greenhouse Control System (GCS) proposed by existing. In addition, we studied the detailed design of the Greenhouse Control Engine (GCE) which is one of the engine that make up the GCS. GCE was designed to place the purpose of minimizing the cost consumed by the control device in the operation for the optimal control of the crop growth environment. The GCE consist of Data Aggregator (DA) to collect information of the greenhouse, Greenhouse Information Storage (GIS) stores the collected information, and Greenhouse Control Agent (GCA) is based on analysis of stored data and considering energy-efficient select the appropriate control devices. Also, this engine provides the greenhouse environment information collection and analysis service and the control device select service. And tested the designed GCE through the test bed.

디지털 포렌식 관점에서의 아이나비 내비게이션 사용정보 분석

The operated type of navigation is composed of hardware or software. The navigation based on software is stored and ran in the external storage(e.g. SD card). For the convenience of users, Many car navigation systems store user information such as frequently visited place, route, and so on. Those can be used to proving the alibi of users as well as their relationship between the actual owner of the vehicle through data and time information analysis. Therefore, if it is analyzed datas of navigation, we can get a lot of information such as user`s movement, route of car. There are important implications in the digital forensics because it`s available for investigating the various crimes. This paper demonstrates the necessary information in the digital investigation through the analysis of stored data in the navigation.

Remote Laboratory System: A Model Proposal and Implementation on X-Ray Laboratory Machines

This work presents the development and implementation of a remote X-ray laboratory, located at CNR â?? ISM, Rome, Italy. The remote laboratory model is based on a innovative, flexible and scalable modular architecture which makes it easier to update, expand or deal with problems. The developed system, accessible for control only to authenticated users, provides a remote control of the laboratory equipment, a real time visual feedback of the machinery and the opportunity to retrieve and make a preliminary analysis of stored data. These features offer the possibility to researchers of carrying out real research experiments remotely, avoid the exposure to ionizing radiation produced by the X-Ray equipment. The system also provides the opportunity of carrying out experiments programmatically, optimizing the use of available machine time and providing the possibility of running experiments in special environment-dependent conditions. Eventually, the system allows researchers located outside of laboratory site to run experiments in a collaborative way.

Improved productivity of a radiotracer detergency method by increased automation

AbstractProductivity of a radiotracer detergency test method which generates several thousand samples per year has been substantially improved by automating record‐keeping, data capture, data analysis storage and report generation. A group of programs has been written to acquire large amounts of data from liquid scintillation counters, a gamma counter and pH meters. The programs also maintain detailed records of each sample (swatch of fabric), provide current status of all swatches entered into the system, and make all calculations necessary to generate final test results. A Burcon microcomputer operating in a time‐sharing mode allows multiple users to perform laboratory operations simultaneously. The programs (written in PL/I) are all interactive and the terminal screen displays provide a list of possible responses (menu) at each step. These menus, combined with careful design of the screen displays, minimize the amount of operator training necessary to complete processing successfully. The amount of operator time required to complete data processing has been reduced by ca. 35% and the automating of record‐keeping and other tasks has further improved productivity and reduced turnaround time. A brief description of the component programs is included.