Operation Ability Research Articles

Methods of Formation of Protective Inhibited Polymer Films on Tungsten.

A comparative study of anticorrosive inhibited polymer films on the tungsten surface formed from an aqueous solution of inhibited formulations (INFOR) containing organosilane and corrosion inhibitors was carried out by means of the prolonged exposure of a tungsten product in a modifying solution and by the method of cataphoretic deposition (CPD). Depending on the method of forming films on tungsten, the molecular organization of the near-surface layers was studied (ATR-FTIR), and the subprimary structure of the films was explored (TEM). The optimal modes of cataphoresis deposition (CPD duration and current density applied to the sample) for the formation of a protective inhibited polymer film on the tungsten surface were established by means of SEM. The energy and thermochemical characteristics (sessile drop and DSC methods), as well as operational (adhesive behavior) and protective filming ability (EIS and corrosion behavior), according to the method of formation of inhibited polymer film, were determined. Based on the combined characteristics of the films obtained by the two methods and the deposition modes, the CPD method showed better performance than the electroless dipping method.

Ice passport of a river icebreaker: propulsion ability

The work begins a series of publications summarizing the experience of long-term ice operation of shallow-seated river icebreakers of project 1191. This article is devoted to the analysis of full-scale data on the ice propulsion ability of the vessel.
 In tabular form, the speed characteristics of the icebreaker on the advancing, stern board and ramming icebreaking are given depending on various conditions and operating modes in solid ice and ice channel: thickness of the ice cover; the degree of its fragmentation, extent of destruction, concentration; height, density and humidity of the snow cover; depth of the water area; total power of thrusting electric motors.
 The procedure for using tabular data to evaluate the operational propulsion ability of a vessel in ices is shown in the article.

Tencent Game Competitive Advantage Analysis

In 2019, COVID-19 swept the world, significantly blowing the Chinese and global markets. Maintaining market share has become the goal of Chinese and even global enterprises. Based on huge market research and data, a few enterprises are still maintaining growth momentum under the sluggish market environment, and the Tencent game is one of them. This article takes "Tencent Game Competitive Advantage Analysis" as the topic, selects Tencent Game as the research object, analyzes the online game industry environment using Porters five forces model, and analyzes Tencent Games competitive advantages from the aspects of research and development, marketing, operation, and anti-risk ability so that it remains in the leading position in the game market and still obtains much economic income in the face of adverse circumstances. By analyzing Tencents competitive advantages, it has great reference value and experience for the future development of other online game companies.

A Collaborative Emergency Drill System for Urban Tunnels Using BIM and an Agent-Based Model

With the rapid development of smart cities, the refined management of urban highway tunnels has put forward higher requirements for the emergency disposal ability of operation and maintenance personnel. This paper proposed a collaborative emergency drill system for urban tunnels using building information modeling (BIM) and an agent-based model. The objectives of this paper are as follows: (1) To help address the challenge of multi-person collaborative intelligent drills in complex emergency scenarios, this system constructed an emergency collaborative drill model and a virtual emergency scenario description method based on trait-based objects (TBOs). (2) To help address the challenge of the organization and integration of multi-source heterogeneous data in complex emergency scenarios, the system established an emergency scenario generation method through lightweight BIM data, standard emergency plan documents, and virtual emergency scenario data. The system was successfully applied to the Hongmei South Road Tunnel in Shanghai, China. The feasibility of the proposed system provided practical help for tunnel emergency management and was extended to other urban tunnels in Shanghai.

Categorization of Select Cockpit Performance Evaluation Techniques.

INTRODUCTION: The modern aircraft cockpit has evolved into a complex system of systems. Numerous performance evaluation metrics and techniques exist that can measure the effectiveness of cockpit components in terms of how they influence the human operator's ability to perform tasks relevant to mission success. As no prior review of these metrics has been found in the literature, this effort attempts to do so, albeit without applying the metrics to a novel cockpit evaluation.METHODS: These metrics and techniques are discussed and presented in five defined categories as they relate to evaluating cockpit subsystems: ergonomics and anthropometrics; human-computer interaction; data management and presentation; crew resource management and operations; and ingress and egress.DISCUSSION: While this effort is significant and novel, it is not necessarily comprehensive. In conclusion, it is noted that no single holistic quantitative metric to evaluate cockpit design and performance yet exists. Utilizing some of the preexisting metrics presented to develop such a metric would be beneficial in efforts to evaluate aircraft cockpit designs and performance, as well as aiding future cockpit designs.Brighton EM, Klaus DM. Categorization of select cockpit performance evaluation techniques. Aerosp Med Hum Perform. 2023; 94(9):696-704.

Monitoring-Based Localization of Unbalances and Root Cause Analysis in Low-Voltage Distribution Systems

The dynamic nature of power systems operation, lack of sufficient monitoring initiatives, and the continuous nature of the power quality phenomena are the primary reasons behind a distribution system operator's inability to localize and understand the root cause behind unbalance. Additionally, there is a deficiency of algorithms that can leverage the grid monitoring data, even if limited, to present a sufficiently useful overview of unbalance propagation which can lead to appropriate corrective measures. This article presents: a new unbalance index derived from feeder active power measurements, an algorithm for localization of unbalanced contributions, and an algorithm for root cause analysis that can distinguish whether the unbalance problem is loading, asymmetry, and/ or fault-oriented. The end goals of this work are twofold: to present a holistic view of the grid unbalanced situation using EN50160 type monitoring, and to assist the distribution system operators in unbalance reduction. The usability of the proposed algorithms and indices is shown using a hybrid European MV-LV model simulated in OpenDSS and on two actual LV distribution systems with real-time power quality monitoring.

Cannulation Skill Assessment Using Functional Data Analysis.

A clinician's operative skill-the ability to safely and effectively perform a procedure-directly impacts patient outcomes and well-being. Therefore, it is necessary to accurately assess skill progression during medical training as well as develop methods to most efficiently train healthcare professionals. In this study, we explore whether time-series needle angle data recorded during cannulation on a simulator can be analyzed using functional data analysis methods to (1) identify skilled versus unskilled performance and (2) relate angle profiles to degree of success of the procedure. Our methods successfully differentiated between types of needle angle profiles. In addition, the identified profile types were associated with degrees of skilled and unskilled behavior of subjects. Furthermore, the types of variability in the dataset were analyzed, providing particular insight into the overall range of needle angles used as well as the rate of change of angle as cannulation progressed in time. Finally, cannulation angle profiles also demonstrated an observable correlation with degree of cannulation success, a metric that is closely related to clinical outcome. In summary, the methods presented here enable rich assessment of clinical skill since the functional (i.e., dynamic) nature of the data is duly considered.

Influence of Rotor Damping Bars on Rotor Temperature Rise of Synchronous Condenser After Single-Phase Short-Circuit Fault

A synchronous condenser (SC) can provide the transient reactive power support for the Ultra High Voltage Direct Current (UHVDC) converter station. However, the rotor temperature rise is generally the main factor which limits the transient operation ability of the SC. In this paper, a rotor structure of the SC with the rotor damping bars made of different materials in the rotor large teeth is proposed to reduce the rotor temperature rise. In order to obtain the influence of the rotor damping bars on the temperature rise, the rotor loss and temperature distribution of a 300-MVar SC under the single-phase short-circuit fault are calculated by coupling the electromagnetic field, loss and temperature field models of the SC with the model of the power grid. For the damping bars made of the copper, aluminum and stainless steel, the rotor maximum temperature rises are calculated and compared. According to the maximum permissible temperature of the rotor core, the transient operating ability of the SC with the rotor damping bars made of different materials is obtained under the single-phase short-circuit fault. This study can provide the theoretic basis for the improvement of the transient reactive power support capacity of the SC under the single-phase short-circuit fault.

The SRVM: A Similarity-Based Relevance Vector Machine for Remaining Useful Lifetime Prediction in the Industrial Internet of Things

With the continuous advancement of industry 4.0 and intelligent manufacturing, remaining useful lifetime (RUL) prediction can forecast the future degradation state of machinery and then estimate the remaining service time before it loses its safe operation ability. Accordingly, a series of predictive maintenance strategies can be regulated in advance for the equipment in the industrial Internet of things (IIOT). To tackle the challenges of insufficiency of failure data and lack of confidence level in the RUL prediction results, a similarity-based relevance vector machine (SRVM) is proposed in this article. Primarily, the relationship among latent variables in SRVM is learned adaptively through similarity computation to fully utilize the limited degradation data. Furthermore, these internal variables in SRVM are treated as time-varying variables and re-estimated dynamically to provide RUL prediction with reliable confidence. The experiment results show that the prediction accuracy of SRVM is higher than that of other baseline methods.

Analysis of the profitability of ASD Company

Profitability is an indicator of the operating conditions of enterprises, which reflects the capital or capital appreciation ability of listed companies. Based on Chinese listed companies love foster co., LTD., for example, from the business income, debts and net profit three indicators are introduced with their financial situation and through the production and business operation, assets, and collection ability three aspects to analyze its profitability, it is concluded that love foster's profit ability is weak, the collection ability is poor, and diversification strategy, speed up product development from reasonable development, broaden the sales channels, optimize inventory management, etc.

A novel strategy for bioaerosol rapid detection based on broad-spectrum high-efficiency magnetic enrichment and separation combined with ATP bioluminescence

Bioaerosol detection technology represented by laser-induced fluorescence (LIF) cannot effectively detect bioaerosols in the presence of interferents such as plant-derived smoke, industrial waste gas, pollen and pollen debris which can produce strong non-biological fluorescence interference. To overcome this drawback, in this study, a novel method based on broad-spectrum high-efficiency magnetic enrichment and separation combined with adenosine triphosphate (ATP) bioluminescence was proposed for Escherichia coli (E. coli) bioaerosols rapid detection. First, E. coli bioaerosols mixed with interferents were collected. Core-shell Fe3O4@Polydopamine@Polyethyleneimine magnetic particles were used as bioaerosol enrichment materials to enrich E. coli bioaerosol sampling solutions. Subsequently, an ATP bioluminescence assay was performed to determine the concentration of E. coli. A linear relationship was observed between ATP bioluminescence intensity after enrichment and the E. coli bioaerosol concentration in the range of 870–49,098 particles per liter; the bioluminescence intensity measured after enrichment was significantly higher than that before enrichment, and this enrichment method provide a 6-fold better sensitivity in bioaerosol detection. More importantly, this method efficiently enriched and detected bioaerosols in plant-derived smoke. This method can effectively improve the sensitivity of ATP bioluminescence detection, and possesses the advantages of convenient operation and strong anti-interference ability. It also provides a foundation for the effective detection of bioaerosols mixed with interfering substances, and a reference for evaluating the sensitivity and anti-interference of LIF-based instruments.

Research on the Cognitive Degree of Pre-service School Mathematics Teachers for Operation Ability Literacy in China

Currently, the education of operation ability literacy has attracted wide attention from all walks of life. So far, many scholars have studied this aspect, but there is no research on the cognitive degree of pre-service junior high school mathematics teachers for operation ability literacy. In this study, 20 educational master degree students majoring in subject teaching (mathematics) of grade 2022 in the School of Mathematics and Statistics and undergraduate students majoring in mathematics at a university in China were investigated, and their cognition of operation ability literacy was investigated by interview. After that, through data analysis, it can be found that the current pre-service junior high school mathematics teachers' literacy of operation ability: 1. The cognitive scope is not wide, and less than half of the people can recognize more than half of the content; 2. The cognitive clarity of operation ability literacy is low, although all points of operation ability literacy can be recognized, the expression error rate is high. Therefore, it is suggested that pre-service junior high school mathematics teachers should pay more attention to the literacy of operation ability through training; Pre-service junior high school mathematics teachers should learn and study curriculum standards independently to improve their understanding of operation ability literacy.

Effects of video display terminal fatigue on situational awareness ability of operators and modeling study

In order to study the changing pattern of the posture perception ability of video display terminal operators in the main control room of energy power plants such as nuclear power plants in a state of fatigue, subjective and objective data of 19 energy system operators were collected through experiments. The effect of video display terminal fatigue on the operator's level of situational awareness was analyzed, and the subjective and objective data were selected to construct an XGboost model to predict the identified operator's situational awareness capability. The study results showed that the subjective and objective data showed significant differences, and it could be inferred that the subjects had developed video display terminal fatigue. The combination of data showed that fatigue affected the manipulator's ability to perceive and understand, decreasing the manipulator's situational awareness. The XGboost model, based on subjective and objective data, achieved a validation rate of 88.90%, indicating that the model can identify and predict the situational awareness of video display terminal manipulators. The study's results can be used to assess the situational awareness of video display terminal operators in nuclear power plants and provide a scientific basis for safety training in nuclear power plants and other energy power plants.

Product safety aspects of plant molecular farming.

Plant molecular farming (PMF) has been promoted since the 1990s as a rapid, cost-effective and (most of all) safe alternative to the cultivation of bacteria or animal cells for the production of biopharmaceutical proteins. Numerous plant species have been investigated for the production of a broad range of protein-based drug candidates. The inherent safety of these products is frequently highlighted as an advantage of PMF because plant viruses do not replicate in humans and vice versa. However, a more nuanced analysis of this principle is required when considering other pathogens because toxic compounds pose a risk even in the absence of replication. Similarly, it is necessary to assess the risks associated with the host system (e.g., the presence of toxic secondary metabolites) and the production approach (e.g., transient expression based on bacterial infiltration substantially increases the endotoxin load). This review considers the most relevant host systems in terms of their toxicity profile, including the presence of secondary metabolites, and the risks arising from the persistence of these substances after downstream processing and product purification. Similarly, we discuss a range of plant pathogens and disease vectors that can influence product safety, for example, due to the release of toxins. The ability of downstream unit operations to remove contaminants and process-related toxic impurities such as endotoxins is also addressed. This overview of plant-based production, focusing on product safety aspects, provides recommendations that will allow stakeholders to choose the most appropriate strategies for process development.

Productivity Measure in Using Enterprise Resource Planning System in Selected Companies in Beijing, China

With the globalization of economic development and social development, the business environment of enterprises has changed. Only by continuously improving the digital level and management level of enterprises can they survive in the fierce global competition and develop. In this economic and social environment, enterprise managers need to implement Enterprise Resource Planning (ERP) system in order to better operate and manage enterprise business and improve enterprise operating profit. Its purpose is to standardize and restructure enterprise process, financial process, capital flow and information flow, and improve enterprise operation ability, profitability and growth ability. The implementation of ERP system will have an impact on the level of enterprise productivity. Therefore, taking manufacturing companies as the research object, it is of great significance to explore the impact of ERP system implementation on the level of enterprise productivity.Taking the manufacturing companies selected in Beijing, China as the research object, this paper uses the method of combining theoretical analysis and empirical research to study the impact of ERP system on enterprise productivity and enterprise performance, so as to improve the industry’s understanding of ERP system. This paper uses data statistics and empirical research methods to analyze the impact of ERP system on enterprise productivity and enterprise performance. Firstly, it introduces the background and significance of the research, and then reviews and combs the relevant literature at home and abroad on ERP system, enterprise performance and the impact of ERP system on enterprise performance; Based on management information system theory, business process reengineering theory and financial performance theory, financial performance is measured from three aspects: operation ability, profitability and growth ability. Reasonably select relevant indicators to build the index system. This paper selects the enterprise financial data of Beijing manufacturing company implementing ERP system from 2013 to 2015, and uses the data model to make an empirical analysis on the impact of manufacturing company implementing ERP system on enterprise productivity and enterprise performance. It is found that in China, the implementation of ERP system by Beijing manufacturing company will have a certain impact on enterprise productivity and enterprise performance Combined with the principle of ERP, this paper discusses the impact of ERP Implementation on enterprise performance. In the empirical research part, descriptive statistics and Wilcoxon paired rank sum test are used to verify the impact of ERP Implementation on enterprise performance. The results show that the implementation of ERP system will improve the operation ability, profitability and growth ability of enterprises. Therefore, when preparing for the ERP system, enterprises must do a full feasibility and demand analysis to ensure the smooth implementation of the ERP system. Finally, this paper gives some suggestions on the impact of ERP Implementation on enterprise performance.

Lift path planning for tower cranes based on environmental point clouds

The planning of lift paths is a critical task in crane operations. Traditionally, crane operators and assistants perform operation tasks based on their observation and experience, this is a tedious and error-prone process. Previous studies mainly focus on the optimization of path length or planning time, but seldom consider the accessibility of information for planning and the execution ability of crane operators. As a result, existing solutions may not be suitable for lifting practices due to the ideal validation environment. To address the gap, this research proposes an automated lift path planning method for tower cranes based on environmental point clouds. The method utilizes an octree-based sampling strategy to generate a roadmap from point clouds in the configuration space and a novel collision checking method for point clouds. Furthermore, an optimized A* algorithm is employed to identify executable paths. The proposed method is validated using real point clouds from a construction site. The result shows that the method can automatically generate more executable paths with higher efficiency only using point cloud data. Specifically, the proposed method reduces searching time, path length and the number of inflection points by 57%, 50% and 40% respectively, when compared to the RRT algorithm.

Pola Berpikir Serialist Siswa Dengan Kemampuan Matematis Tinggi Dalam Menyelesaikan Masalah Aritmatika Sosial Kelas VII SMPN 1 Ngantru

This research is caused by the mindset of students with high mathematical abilities in solving mathematical problems, especially social arithmetic, where the serialist pattern is characterized by working with procedural and operational abilities and taking a local approach. The findings in partner schools are that the majority of students work on questions according to what is taught, starting from writing down the elements in the questions, sorting out which formula is right to writing valid conclusions on the answer sheet. This study aims to describe the Serialist thinking patterns of students with high mathematical abilities in solving Social Arithmetic problems for class VII students of SMPN 1 Ngantru. This research is a descriptive qualitative research with a case study approach. The subjects in this research activity were class VII of three students at SMPN 1 Ngantru. Data collection techniques were carried out by providing test questions and open interviews. Data analysis through three steps, namely data reduction, data presentation, and drawing conclusions. The results of the research show that in the process of solving problems students with serialist thinking skills tend to understand problems in an orderly and systematic manner which can be seen on the answer sheets of each subject. Students tend to work on questions according to the information that has been presented and then process and produce the right answers.

Development and Evaluation of a Mixed-Reality Tele-ultrasound System.

The objective of this feasibility study was to develop and assess a tele-ultrasound system that would enable an expert sonographer (situated at the remote site) to provide real-time guidance to an operator (situated at the imaging site) using a mixed-reality environment. An architecture along with the operational workflow of the system is designed and a prototype is developed that enables guidance in form of audiovisual cues. The visual cues comprise holograms (of the ultrasound images and ultrasound probe) and is rendered to the operator using a head-mounted display device. The position and orientation of the ultrasound probe's hologram are remotely controlled by the expert sonographer and guide the placement of a physical ultrasound probe at the imaging site. The developed prototype was evaluated for its performance on a network. In addition, a user study (with 12 participants) was conducted to assess the operator's ability to align the probe under different guidance modes. The network performance revealed the view of the imaging site and ultrasound images were transferred to the remote site in 233 ± 42 and 158 ± 38 ms, respectively. The expert sonographer was able to transfer, to the imaging site, data related to position and orientation of the ultrasound probe's hologram in 78 ± 13 ms. The user study indicated that the audiovisual cues are sufficient for an operator to position and orient a physical probe for accurate depiction of the targeted tissue (p < 0.001). The probe's placement translational and rotational errors were 1.4 ± 0.6 mm and 5.4 ± 2.2º. The work illustrates the feasibility of using a mixed-reality environment for effective communication between an expert sonographer (ultrasound physician) and an operator. Further studies are required to determine its applicability in a clinical setting during tele-ultrasound.

Structural development of the high-speed free jet test facility

The 2 m×2 m high-speed free jet test facility is a 2 m level intermittent blowdown-ejector ground test facility, which has the ability of tri-sonic operation. The closed test section is replaced with a large test chamber. In the development process of the project, the main focus is the uncertainty influences of the jet pressure pulsation action on the facility, the functional realization of step change test Ma number by adjusting semi-flexible nozzle profile in a wide operating range for 2 m level facility, etc. These difficulties have been solved in various ways, such as theoretical analysis and calculation, adoption of multidisciplinary optimization techniques, a reasonable choice of vibration suppression means, and accumulation of rich experience in the field of wind tunnel design. At present, this facility has been built and debugged, and the integrity of the structure has been verified.

Human Performance in Highly Automated, Cyber Vulnerable Unmanned Aerial Systems: Effects of Operators’ Background and Task Load

This article evaluated the effects of operator background and task load on operator ability to detect and respond to cyber events while controlling multiple unmanned aerial systems (UAS). Cyber physical systems (CPS) are susceptible to cyber threats and associated events via connections critical to their operations. The effects of cyber intrusions on UAS operator performance as a function of background and task load have been understudied. Fifty-one operators with different backgrounds (Aviators, Gamers and Non-Gamers; n = 17 per group) were evaluated across two levels of task load (in-the-loop (ITL) and out-of-the-loop (OTL)) while controlling a simulation of multiple UAS involving cyber events. Cyber events represented spoofed information that could not be corroborated with available secondary information/displays. Multivariate analysis of variance was used to analyze the effect of background and task load on operator performance, subjective perception of workload (assessed using the NASA Task Load Index), and trust. Nongamers responded to cyber events 62.8% and 67.7% slower than aviators and gamers, respectively. Mean response times across task load conditions were substantially longer for cyber events (128.9 s) than for noncyber, “real” events (42.8 s). Scenario type (ITL/OTL) was statistically significant for workload, cyber classification, and cyber action response. The findings may inform recruitment criteria for future UAS operators. Individuals with gaming experience may be as adept at responding to cyber events while operating multiple UAS as aviators. Cyber events are likely to affect the performance of the overall CPS due to their impact on the human operator.