Multi-Dimensional Performance Evolution and Evaluation from Traditional Stewart to 3-3 Orthogonal Parallel Mechanisms

The analysis of experimental performance is an essential task to any experiment. With the increasing demand on experimental data mining and utilization. methods of experimental data analysis abound, including visualization, multi-dimensional performance evaluation, experimental process modeling, performance prediction, to name but a few. We design and develop an experimental performance analysis and visualization system, consisting of data source configuration component, algorithm management component, and data visualization component. It provides us feasibilities such as experimental data extraction and transformation, algorithm flexible configuration and validation, and multi-views presentation of experimental performance. It will bring great convenience and improvement for the analysis and verification of experimental performance.

The “Right to be Forgotten” rule in machine learning (ML) practice enables some individual data to be deleted from a trained model, as pursued by recently developed machine unlearning techniques. To truly comply with the rule, a natural and necessary step is to verify if the individual data are indeed deleted after unlearning. Yet, previous <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">parameter-space</i> verification metrics may be easily evaded by a distrustful model trainer. Thus, Thudi <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al</i> . recently present a call to action on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">algorithm-level</i> verification in USENIX Security’22. We respond to the call, by reconsidering the unlearning problem in the scenario of machine learning as a service (MLaaS), and proposing a new definition framework for <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Proof of Unlearning</i> (PoUL) on algorithm level. Specifically, our PoUL definitions ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</i> ) enforce correctness properties on both the pre and post phases of unlearning, so as to prevent the state-of-the-art forging attacks; ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ii</i> ) highlight proper practicality requirements of both the prover and verifier sides with minimal invasiveness to the off-the-shelf service pipeline and computational workloads. Under the definition framework, we subsequently present a trusted hardware-empowered instantiation using SGX enclave, by logically incorporating an authentication layer for tracing the data lineage with a proving layer for supporting the audit of learning. We customize authenticated data structures to support large out-of-enclave storage with simple operation logic, and meanwhile, enable proving complex unlearning logic with affordable memory footprints in the enclave. We finally validate the feasibility of the proposed instantiation with a proof-of-concept implementation and multi-dimensional performance evaluation.

While strategic alliances have been widely recognised as an appropriate governance mode for the co-development of capabilities, the importance of leveraging these capabilities to assemble a network of inter-linked services has been a neglected area of research. We propose network coherence as a construct to capture the degree of service consistency across the networks of the three largest global airline alliances. Employing a multi-dimensional service performance evaluation model, with a data set of over 500 customers, flying on more than 700 routes, the paper examines the impact of network coherence on customer satisfaction and market-based performance variables. The results indicate that network coherence plays a key role in improving service performance and is a useful construct in capturing a number of important service variables for airlines. The paper highlights the importance of knowledge-based capabilities in achieving competitive positioning for alliance members, exposing a number of critical challenges for global alliance networks.

Today, there are a number of analytical and numerical calculation methods for the elastic-plastic design of press-fit connections. However, these are largely constrained by their restriction to elastic-ideal-plastic material behavior. In addition, recommendations for limiting the plasticized hub cross section that have been provided to date do not exploit the full potential of the materials, with the result that opportunities for lightweight design and improved transmission capacity have remained unused so far. Yet, no experimental validations exist to this end, which is why the existing design method could not be validated until today. In addition, there is still a lack of research on how to evaluate the potential for increasing the force and torque transmission under consideration of the strain hardening of the material during plastic deformation. The lack of knowledge today prevents a targeted design and thereby the industrial application of this type of connection; the transmission capacity and lightweight design potentials have thus remained unused until now (Kröger and Binz, 2020). This article presents the actual design and joining limits of hubs made of EN AW-5083 (AlMg4,5Mn), which were determined as part of an Industrial Collective Research (IGF) project. This allows the hub materials to be better utilized, which leads to a reduction in mass and/or an increase in the force and torque transmission. In addition, the experimental validation of the numerical investigations helps to establish the design method in industrial practice.

The integration of Environmental, Social, and Governance (ESG) principles into corporate strategic management can significantly enhance corporate social responsibility (CSR) practices and strengthen competitive capabilities in sustainable development. Incorporating ESG concepts into strategic planning enables comprehensive optimization across environmental protection, social responsibility, and corporate governance. By establishing a scientific and robust ESG performance evaluation system, enterprises can quantitatively assess their environmental impact, social benefits, and governance structures, thereby advancing their management practices in green development and social responsibility to new levels. This study employs a dual methodology combining theoretical research and case analysis to examine corporate ESG implementation pathways and construct a multidimensional performance evaluation framework. The proposed system ensures data-driven decision-making for sustainable operations through dynamic tracking mechanisms and monitoring platforms, ultimately creating a continuous improvement cycle. These approaches provide empirical support and strategic references for enterprises pursuing high-quality development.

Bank branch performance evaluation is a difficult endeavour. Some of the main reasons for this difficulty are the complexity inherent in the variety of aspects considered in the evaluation, and the multiple and conflicting interests of the different stakeholders involved. In this paper, we show how cognitive mapping and measuring attractiveness by a categorical-based evaluation technique can be used to support the evaluation of bank branches through the development of multidimensional performance evaluation systems, and to deal explicitly with the trade-offs between the different dimensions of performance and interests of different stakeholders. A case study is discussed where these techniques are used in a constructive way, making the learning activity easier and introducing transparency in the decision-making process. The strengths and weaknesses of the integrated use of these two operational research techniques in this context are also discussed.

Development of a multidimensional performance evaluation model for container terminals at Marmara Sea

A systematic review on load carriage assistive devices: Mechanism design and performance evaluation

The present work attempts to develop a multidimensional performance evaluation framework for a construction company by considering all relevant measures of performance. Based on the previous studies, this study hypothesizes nine key factors, with a total of 57 associated items. The hypothesized factors, with their associated items, are then used to develop questionnaire survey to gather data. The exploratory factor analysis (EFA) was applied to the collected data which gave rise 10 factors with 57 items affecting construction performance. The findings further reveal that the items constituting ten key performance factors (KPIs) namely; 1) Time, 2) Cost, 3) Quality, 4) Safety & Health, 5) Internal Stakeholder, 6) External Stakeholder, 7) Client Satisfaction, 8) Financial Performance, 9) Environment, and 10) Information, Technology & Innovation. The analysis helps to develop multi-dimensional performance evaluation framework for an effective measurement of the construction performance. The 10 key performance factors can be broadly categorized into economic aspect, social aspect, environmental aspect, and technology aspects. It is important to understand a multi-dimension performance evaluation framework by including all key factors affecting the construction performance of a company, so that the management level can effectively plan to implement an effective performance development plan to match with the mission and vision of the company.

Asymmetric responses to multidimensional performance evaluation systems: The role of non-pathological narcissism

While expandable tubular technology significantly increased traction within the oil&amp;gas industry in the last few years, materials behavior knowledge for expandable casing has not progress sufficiently. This is due to the lack of a diffused definition of the most appropriate procedures to verify post-expansion material performance and to the difficulties in performing investigation activity. These investigations rely on post-expanded material, which is costly and time-consuming to obtain, especially for the range of very large plastic deformations applicable to Monobore applications. Consequently, an extensive testing program was started by Statoil to define an appropriate testing procedure for the evaluation of material performance after expansion and to characterize candidate materials. This paper presents the testing methodologies developed and the results obtained for several carbon steel grades and CRAs. These evaluations included tests of the mechanical performance and the resistance to aggressive environments. The assessment of mechanical performance was carried out through several conventional and innovative tests and evaluation activities. Conventional tests included tensile tests in longitudinal and transverse direction, at room and elevated temperature, impact tests and residual stress evaluation. Collapse tests were performed on expanded pipes. Novel methods with optical strain measurements were adopted for improved tensile tests. Finite Element Analysis of the expansion process was also used to further investigate post-expansion mechanical performance. The resistance to stress corrosion cracking or sulphide stress corrosion was evaluated by means of FPB and C-ring tests. Carbon grades were tested in a mild sour environment while CRAs were tested in aggressive environments representative of possible field conditions. All experimental tests were carried out on materials before and after expansion. The effect of strain aging was also evaluated for carbon steel grades applying a defined aging cycle to expanded material. The experimental methods adopted are described and discussed. The test results highlighted the main mechanical parameters to be considered and allowed ranking the different materials tested. At least one carbon steel grade and one CRA possess adequate mechanical and environmental performance even after 30% expansion. The test methodology adopted was therefore considered adequate for the aimed purpose.

To meet the synergistic requirements of "waterproofness, elasticity, and durability" for waterproof films in swimming equipment, this study developed a graphene-PDMS composite film and established a multi-dimensional performance evaluation system. By modifying the film with a silane coupling agent to optimize interfacial bonding, a 100 ± 5 μm thick film was prepared using a tape casting process (5 mm/s). The performance advantages of a 3 % graphene addition were specifically simulated: the film achieved a tensile strength of 8.5 MPa (a 40 % increase compared to pure PDMS) and a strength decay of only 8.2 % after 10,000 cycles. After fluor silane modification, the film exhibited a WCA of 158 ± 2° and a SA of 8 ± 1°, a 24-hour water absorption of 0.45 % (an 80 % decrease compared to pure PDMS), and a hydrostatic pressure resistance of 15 kPa (a 50 % increase compared to PTFE). Dynamic simulations indicate that after 4 hours of exposure to a 2 m/s water flow, the water permeability is less than 0.01 g/(h·cm²), and the film remains superhydrophobic (WCA &gt; 140°) after 10,000 cycles of 10 % strain. The strength decay rate after 14 days of seawater immersion is 11.8 %, surpassing all other performance indicators of conventional films. These results demonstrate that composite films with a 3 % graphene addition are suitable for swimming, providing data support for the development of waterproof equipment.

Traditional mechanical design process faces three major challenges: (1) the need for rapid and repeated numerous time-consuming simulations, such as finite element analysis and computational fluid dynamics; (2) the need for dataset management; (3) the lack of an integrated and easy-to-use collaborative mechanical design environment. This paper presents a grid-enabled solution for mechanical engineering design, which integrates three traditional design phases (preliminary design, structure verification, and performance evaluation) into one workflow, utilizing grid resources for calculations. This solution aims to accelerate each phase in design process, accommodate more models, and prevent the best results being discarded during the early design stages as it may happen in the conventional design procedures. The applicability of this solutions shown by a case study.

The wide deployment of wavelength-division multiplexing technology and new transmission techniques have resulted in significant increases in the transmission capacity in optical fibers, both in the number of wavelengths and the bandwidth of each wavelength channel. Meanwhile, the fast growth of the Internet demands more data switching capacity in the network in order to deliver high bandwidth to end users. Although the capacity of electronic routers has been increasing consistently in the past, optical switching appears to be a more cost-effective way to switch individual wavelengths. As the bit rate per wavelength channel continues to grow, optical subwavelength switching emerges as a new paradigm capable of dynamically delivering the vast bandwidth WDM offers. This article discusses one of such techniques, namely optical packet switching, and its performance perceived by end users in optical mesh networks. Specifically, our investigation reveals the benefit of using electrical ingress buffering and traffic aggregation to reduce packet-loss rate of optical packet-switched networks. Through simulation experiments, we present an evaluation of the network's TCP-level performance based on the proposed architecture.

With the rapid development of economy, the structure of power grid is becoming more and more complex, which has brought about uneven distribution of power flow, limited transmission capacity and the decline of power quality. The application of new static synchronous series compensator can quickly and effectively regulate power flow, suppress sub-synchronous oscillation and enhance system stability on the basis of guaranteeing transmission capacity. In practical engineering application, the design of control system and the realization of control algorithm are very important. In this paper, the control system of 220 kV 30MW self-excited SSSC device is developed based on the control and protection platform of serial RapidIO technology. Firstly, the main topology structure of SSSC is introduced, and the two-stage DC voltage stabilization and upper steady-state operation control strategy of SSSC using fast response control method which simultaneously regulates modulation ratio and trigger angle are expounded. Secondly, the dual redundancy control system architecture is designed, and the control system implementation scheme is designed. Finally, the RTDS power in the loop experimental system is designed, and the control algorithm is verified by RTDS experiments. The experimental results show that the control strategy and control system implementation scheme adopted in this paper can realize smooth start-up and exit of SSSC device and flexible regulation of power flow. The developed control system can satisfy the long-term reliable and stable operation of the system, especially the design of redundancy mechanism, and increase the reliability of the device operation. Follow-up static synchronous series compensator project and even FACTS project provide reference.