Academic literature on the topic 'MOPI (Computer system)'

The digital revolution and internet connectivity are the power behind digital-based models in organizations. The broader reach and impact of cyberspace which is accelerating across Moi University seems to be generating complex challenge to address issues of e-records at Moi University. This chapter emanated from a thesis on e-records security management, and therefore investigates cyberspace security threats and attacks on e-records management at Moi University with a view to offering practical and policy interventions to address this challenge. Data was collected from Moi University staff using interviews and questionnaires and was analysed thematically and using Statistical Package for Social Sciences (SPSS) version 24. Findings revealed cyberspace as an e-records security challenge. Cybercriminals (hackers and crackers), when new technologies emerge, concurrently invent and discover new ways to tap in the new technologies with the intention to steal and corrupt e-records for their benefit, thus hurting the veracity of e-records and university's reputation. Cyber-attacks including an attempted attack on the network, viruses, and worms were widely mentioned in the findings as a threat to both the e-records, and the computer system that host them and storage devices. The chapter recommends that the university should set dynamic security strategy and vision, developing and implementing policies and adopting standards, threat analysis and assessment, integrated and intelligent cybersecurity management service, and investing in e-records security awareness campaigns and training for employees, among others.

Abstract This paper presents a multi-objective optimal design of cascade controllers applied to an aircraft wing with a leading and trailing control surface driven by electromagnetic actuators (EMAs). The design of the control system is decoupled into an inner (slave or secondary) and outer (master or primary) control algorithm. The master control algorithm is applied to the dynamics of the wing and its ailerons while two salve control loops are designed for the two EMAs. Then, a multi-objective and optimal design of the control algorithms is carried out. Three objectives are considered : 1) the speed of response of the slave controlled system must be faster than that of the master one, 2) the controlled system must be robust against external upsets, and 3) optimal energy consumption. The multi-objective optimization problem (MOP) is solved by the non-dominated sorting genetic algorithm (NSGA-II), which is one of the widely algorithms in solving MOPs. The setup parameters of the primary and secondary control algorithms are tuned during the optimization and the design objectives are evaluated. The solution of the MOP is a set of optimal cascade controllers that represent the trade-offs among the design objectives. Computer simulations show that the design objectives are achieved. However, some of the optimal solutions are practically in-feasible because they respond poorly to external disturbances. Presented study may become the basis for multi-objective optimal design of active aeroelastic control systems.

Modern engineering problems, such as aircraft or automobile design, are often composed by a large number of variables that must be chosen simultaneously for better design performance. Normally, most of these parameters are conflicting, i.e., an improvement in one of them does not lead, necessarily, to better results for the other ones. Thus, many methods to solve multi-objective optimization problems (MOP) have been proposed. The MOP solution, unlike the single objective problems, is a set of non-dominated solutions that form the Pareto Curve, also known as Pareto Optimal. Among the MOP algorithms, we can cite the Firefly Algorithm (FA). FA is a bio-inspired method that mimics the patterns of short and rhythmic flashes emitted by fireflies in order to attract other individuals to their vicinities. For illustration purposes, in the present contribution the FA, associated with the Pareto dominance criterion, is applied to three different design cases. The first one is related to the geometric design of a clamped-free beam. The second one deals with the project of a welded beam and the last one focuses on estimating the characteristic parameters of a rotary dryer pilot plant. The proposed methodology is compared with other evolutionary strategies. The results indicate that the proposed approach characterizes an interesting alternative for multi-objective optimization problems.

Based on the Mori-Zwanzig formalism it becomes possible to suggest a general decoupling procedure, which reduces a wide set of various micromotions distributed over a self-similar structure to a few collective/reduced motions describing the relaxation/exchange behavior of a complex system in the mesoscale region. The frequency dependence of the reduced collective motion contains real and pair of complex-conjugate power-law exponents in the frequency domain and explains naturally the “universal response” (UR) phenomenon discovered by A. Jonscher in a wide class of heterogeneous materials. This strict mathematical result allows in developing a consistent and general theory of dielectric relaxation that can describe wide set of dielectric spectroscopy (DS) data measured in some frequency/temperature range in many heterogeneous materials. Based on this result it becomes possible also to suggest a new set of two-pole elements, which generalizes the conventional RLC-elements and can constitute the basis of new theory of the linear electric circuits.

A systematic methodology combining optimization, three dimensional analytical rigid body dynamics and a novel method, namely, Pseudo-Interference Stiffness Estimation method (PISE) [1]- [2], is proposed to dramatically reduce gear design time and improve the spur gear system dynamic performance. The main aim of this methodology is to search for the pro les of tooth crowning and shaving that eventually lead to the optimum dynamic tooth load in the gear mesh. An example of the detailed design study is numerically investigated. The results show that the dynamic tooth load can be reduced to up to 50 percent of its original value. However, this reduction is only valid at the operating ranges of the design load and design speed. It is also found that the effect of pro le modi cation on the dynamic response of the gear system was mostly observed to be a reduction in the peak dynamic tooth load at the resonance speed. Later, the investigation of gear tooth durability was conducted to validate an improvement of gear life. The rating factors given in AGMA publication, Hertzian contact stress, bending fatigue stress, ash temperature and PV index are employed in gear durability determination. The results show that, with the reduction of 50 percent in dynamic tooth load, the reductions in PV index, bending fatigue, Hertzian contact stress, and ash temperature can be achieved up to 64, 58, 28 and 39 percent, respectively.

Energy Transfer has implemented a new, comprehensive field-inspection system for the pipe inspection lifecycle that encompasses aerial observations, pipe exposures, foreign line crossings, in-line inspections, anomaly remediation, pipe inspection, and integrity sheet generation. In order to ensure the integrity of the pipe inspection program, the field inspection solution required full audit-trail capabilities, front-side data validation, and full integration with the corporate-wide GIS and Engineering Data Management System. Additionally, to ensure the success of the new inspection program, the inspection solution required a highly intuitive and field user-friendly interface, the ability to work equally well in both connected and disconnected environments, interactive mapping functionality, very high reliability, and a process-driven architecture. Energy Transfer owns and operates approximately 43,000 miles of natural gas, natural gas liquids, refined products, and crude oil pipelines. Due to the size and diversity of Energy Transfer’s assets, the corporate GIS system must be distributed across seven independent instances consisting of server pools and large-scale relational database management systems (RDBMS). Although each system must be functionally independent, the field inspection system and the inspection process must interact with each server and RDBMS instance with equal functionality and be able to report on all pipe inspection activities across the enterprise. The inspection system is used by over 1,200 Energy Transfer employees and contractors, and approximately 15,000 inspections are performed annually. The system supports a variety of devices, such as: laptops, tablet computers, iOS devices (i.e., iPads, iPhones), and Android devices. Whether on foot, in vehicles or aircraft, users can enter information from the platform that best meets the needs of their individual environment. Information collected on any device is available for continuance of the pipe inspection lifecycle on any other device and is available in real time at the corporate offices via a Web portal. The Web portal provides visualization tools for both business and engineering analysis such as progress tracking and remediation planning. These functions are supported through the portal’s integrated mapping, dash boarding, and a reporting functionality that includes advanced search capabilities for both comparative and predictive analysis. In addition to utilization for the pipe inspection lifecycle, the inspection system is being used for a variety of other inspection and regulatory compliance-related activities, including: cathodic protection, incident reporting, corrosion assessment, DOT structure location, MAOP-MOP establishment, shallow cover, unmetered gas loss, and many more right-of-way related activities.