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Asset Identification and Classification
Published in Dan Shoemaker, Anne Kohnke, Ken Sigler, How to Build a Cyber-Resilient Organization, 2018
Shoemaker Dan, Kohnke Anne, Sigler Ken
As we iterated in the previous section, CM refers to the understanding and maintenance of information about the status of an organizational asset and the services it supports. CM provides two primary advantages: It maintains the integrity of configurations and allows changes to be evaluated and made rationally. CM also gives the organization’s top managers and policy makers direct input into the evolution of the asset base. It does this by ensuring that managers are involved in decisions about the form of the controlled asset. CM provides the basis to measure organizational quality of service delivery, improve the asset life cycle, make testing of each asset against capabilities to support a service and overall organizational Quality Assurance easier, provide traceability of related assets and services, and dramatically ease problems with change management and problem tracking.
Very Small Entities: The Business Proposition
Published in Harriet B. Nembhard, Elizabeth A. Cudney, Katherine M. Coperich, Emerging Frontiers in Industrial and Systems Engineering, 2019
CM is a systems engineering process for establishing and maintaining consistency of a product’s performance, functional, and physical attributes with its requirements, design, and operational information throughout its life. This process has been tailored for the VSE in the ISO/IEC 20110. The standard includes CM as part of the PM process, PM.1, activities, and is a system realization objective, SR.O6. A System Configuration, as agreed in the project plan, and that includes the engineering artifacts are integrated, baselined, and stored at the Project Repository. Needs for changes to the Product are detected and related change requests are initiated.4
Configuration Management
Published in M. Ann Garrison Darrin, Patrick A. Stadter, Aerospace Project Management Handbook, 2017
The five main elements of the CM process are:Configuration Management PlanningConfiguration IdentificationConfiguration Control/Change ManagementConfiguration VerificationConfiguration/Status Accounting
Characteristics of changes in hazardous elements and heavy metals during pyrolysis treatment of oily sludge
Published in International Journal of Green Energy, 2023
Qian Wen, Wencai Cheng, Dujiang Liu, Zhiguo Shao, Shipei Xu, Zhicheng He, Jiangbo Li, Jitao Xuan, Xirui Lu
The principle of microwave-assisted pyrolysis is based on the vibration effect of the polar molecules within the material in a fast electromagnetic field. The molecules rub against each other to generate heat energy, which heats the material (Zaker et al. 2019). Microwave energy has a strong penetrating power and can penetrate inside the particles and accumulate. Therefore, the direction of heat transfer is from inside to outside, in line with the flow of volatile components. The microwave-assisted pyrolysis device used in this experiment is shown in Figure 1. The device was composed of four main parts, which were the gas inlet system, the control and display system, the pyrolysis system, and the condensation and collection system. The gas inlet system was composed of a nitrogen tank and a flowmeter. The microwave reactor in the pyrolysis system was purchased from Hunan Changyi Microwave Technology Co., Ltd (Hunan, China) and was regulated by the control and display system, and the pyrolysis products were collected by the condensation and collection system. The microwave frequency was 2.45 GHz and the wavelength was 12.2 cm. The rated power of the equipment was 8 kW, and the microwave output power was 0.01 to 4.20 kW (continuously adjustable). In this study, Nitrogen gas (1 L/min) was introduced for 15 min before the start of the pyrolysis experiment. The pyrolysis temperatures of 350, 450, 550, 650 and 750°C were used and the pyrolysis time was 30 min.
Modelling of expansion ratio and half-life of foamed bitumen using gene expression programming
Published in International Journal of Pavement Engineering, 2021
Abhary Eleyedath, Siksha Swaroopa Kar, Aravind Krishna Swamy
With the intention of exploring further details about the chemical components, FTIR spectroscopy was performed on all binders. The Bruker-Alpha FTIR spectrometer equipped with a Zinc-Selenide (ZnSe) series attenuated total reflectance −1 (ATR) was used for this purpose. Initially, the asphalt sample was placed directly on the Zinc-selenide (ZnSe) window. The infrared beam of different frequencies was passed through the sample and absorbing wavelengths were observed. The data were converted to spectrum using Fourier transformation. Forty scans at a resolution of 4 cm−1 were collected for each sample. Again a background scan was performed between wave numbers 4000 of 500 cm−1. The resultant spectra were corrected using both ATR and baseline correction functions using the OPUS software. Using absorbance spectra, major functional indices were computed. This included aliphatic index (wavenumber 1460–2920 cm−1), aromatic index (wavenumber 1600 cm−1), carbonyl index (wavenumber 1735 cm−1), sulphoxide index (wavenumber 1030 cm−1). A summary of computed bond index values is given in Table 3.
High-resolution photoelectron spectrum of the origin band of the X̃+ 2E ← X̃ 1A1 ionising transition of propyne
Published in Molecular Physics, 2018
The VUV laser radiation () in the region of the adiabatic ionisation threshold of propyne (≈83 650 cm−1) was generated by resonance-enhanced difference-frequency mixing in a gas jet of Kr using the 4p55p′[1/2]0 ← 4p61S0 two-photon resonance at cm−1. The VUV wavenumber was scanned by changing . The wavenumber calibration was carried out at an absolute accuracy of 0.2 cm−1 using a wavelength meter to determine and .