System Manager Research Articles

Drift Control of High-Dimensional Reflected Brownian Motion: A Computational Method Based on Neural Networks

Motivated by applications in queueing theory, we consider a stochastic control problem whose state space is the d-dimensional positive orthant. The controlled process Z evolves as a reflected Brownian motion whose covariance matrix is exogenously specified, as are its directions of reflection from the orthant’s boundary surfaces. A system manager chooses a drift vector [Formula: see text] at each time t based on the history of Z, and the cost rate at time t depends on both [Formula: see text] and [Formula: see text]. In our initial problem formulation, the objective is to minimize expected discounted cost over an infinite planning horizon, after which we treat the corresponding ergodic control problem. Extending the earlier work by Han et al. [Han J, Jentzen A, Weinan E (2018) Solving high-dimensional partial differential equations using deep learning. Proc. Natl. Acad. Sci. USA 115(34):8505–8510], we develop and illustrate a simulation-based computational method that relies heavily on deep neural network technology. For the test problems studied thus far, our method is accurate to within a fraction of 1% and is computationally feasible in dimensions up to at least [Formula: see text].

Asymptotically optimal routing of a many-server parallel queueing system with long-run average criterion

This paper considers a parallel queueing system with multiple stations, each of which contains many statistically identical servers and has a dedicated queue. Upon each customer arrival, the system manager must decide to which station the customer should be routed, with the objective of minimizing the system’s long-run average delay cost. One feature of this paper is that a customer’s delay cost depends not only on his/her delay, but also on the routed station. Considering this heterogeneity across stations, we propose a routing policy, which can be regarded as an extension of the MED–FSF policy. Under this policy, any arriving customer will be routed to: (i) the station with the minimum value, which depends on the station’s expected delay and the station index when servers in all stations are fully occupied; or otherwise (ii) the station with a fastest idle server. Using asymptotic analysis, we derive diffusion limits of queue-length processes and their stationary distributions under the proposed policy in the Halfin–Whitt regime. Combined with an asymptotic lower bound result for the long-run average delay cost, we show that the proposed routing policy is asymptotically optimal under the considered objective. Finally, we provide numerical experiments to validate the accuracy of our diffusion approximation, and we compare the performance metrics under the proposed policy with those under other commonly used routing policies.

Optimal drift rate control and two-sided impulse control for a Brownian system with the long-run average criterion

Abstract In this paper, we consider a joint drift rate control and two-sided impulse control problem in which the system manager adjusts the drift rate as well as the instantaneous relocation for a Brownian motion, with the objective of minimizing the total average state-related cost and control cost. The system state can be negative. Assuming that instantaneous upward and downward relocations take a different cost structure, which consists of both a setup cost and a variable cost, we prove that the optimal control policy takes an $\left\{ {\!\left( {{s^{\ast}},{q^{\ast}},{Q^{\ast}},{S^{\ast}}} \right),\!\left\{ {{\mu ^{\ast}}(x)\,:\,x \in [ {{s^{\ast}},{S^{\ast}}}]} \right\}} \right\}$ form. Specifically, the optimal impulse control policy is characterized by a quadruple $\left( {{s^{\ast}},{q^{\ast}},{Q^{\ast}},{S^{\ast}}} \right)$ , under which the system state will be immediately relocated upwardly to ${q^{\ast}}$ once it drops to ${s^{\ast}}$ and be immediately relocated downwardly to ${Q^{\ast}}$ once it rises to ${S^{\ast}}$ ; the optimal drift rate control policy will depend solely on the current system state, which is characterized by a function ${\mu ^{\ast}}\!\left( \cdot \right)$ for the system state staying in $[ {{s^{\ast}},{S^{\ast}}}]$ . By analyzing an associated free boundary problem consisting of an ordinary differential equation and several free boundary conditions, we obtain these optimal policy parameters and show the optimality of the proposed policy using a lower-bound approach. Finally, we investigate the effect of the system parameters on the optimal policy parameters as well as the optimal system’s long-run average cost numerically.

Altered body balance and plantar pressure distribution in young adults with forward head posture

BackgroundForward head posture (FHP), a common postural issue, affects balance and may be linked to altered muscle activity and cervical spine alignment. This study investigated the impact of FHP on static balance and plantar pressure distribution in adults. We hypothesized that FHP would be associated with poorer balance and altered pressure distribution. MethodsThis case-control study investigated the impact of FHP on static balance and plantar pressure distribution in adults (n = 52). Participants were categorized based on craniovertebral angle (CVA), into FHP (CVA <47°) and control (CVA ≥47°) groups. Static balance was assessed using a NeuroCom® Balance Manager System, evaluating parameters like center of gravity sway and directional control. Plantar pressure distribution was measured with an Emed Pedobarography system during walking, analyzing maximum force, peak pressure, and contact area. ResultsParticipants with FHP showed poorer balance with eyes closed on foam compared to the control group. Additionally, the FHP group exhibited lower total maximum force and altered force distribution in both feet during walking. Correlations suggested that higher CVA degrees were associated with decreased balance and altered plantar pressure distribution. Despite, linear regression analyses revealed no significant predictive relationships between CVA and specific balance measures, it showed significant associations with several plantar pressure distribution parameters, including total maximum force exerted on both feet, maximum force on the forefoot, and peak pressure on the hindfoot. ConclusionThese findings suggest that FHP may influence balance and plantar pressure distribution, with a potentially stronger effect on plantar pressure than balance parameters.

Influence Training, Work Motivation and Discipline Work on Employee Performance at PT Summit Seoyon Automotive Indonesia

In reach the goal , something organization need source Power man as manager system . Source Power humans are also factor central in management something organization . Those who become mover wheel organization in achieve and realize the goals and objectives set . Study This aim For know influence training, work motivation and discipline Work to Kinejra employee at PT Summit Seoyon Automotuve Indonesia. Study This use method quantitative , with sample of 60 respondents . Data analysis includes : validity test , reliability test , assumption test classic , analysis multiple linear regression and hypothesis . Test result First obtained that training No influential to performance employees , proven with results t count of 0.982 &lt; value t table 2.003 and sig of 0.330. Testing second , work motivation influential to performance employees , with results mark t count amounting to 4.358 &lt; value t table 2.003 and sig of 0.000. Test result third discipline Work influential to performance employees , proven with t count of 5.709 &lt; value t table 2.003 and sig of 0.000.

Equilibrium balking behavior of customers and regulation measures in a multi-server queue with threshold policy

ABSTRACT The equilibrium balking behavior of customers and some effective regulation measures in a multi-server queueing system with a threshold policy are mostly investigated in this paper. We consider four information levels: entirely visible, nearly visible, nearly invisible and entirely invisible. For each case, we compare the equilibrium and socially optimal balking strategies of customers, formulate pricing strategy and analyze the revenue of the system manager. It is found that no matter what information level, there always exist the optimal thresholds that maximize the optimal social welfare and the system manager’s revenue, respectively. Moreover, how much information the customers know has influence on the optimal social welfare. Such findings can provide guidance for the social planner to formulate pricing strategies, make appropriate threshold policies and decide what information should be disclosed to customers to improve the optimal social welfare.

Service Browser in Linux Environment

The key features of using web browsers and service browsers as clients of information systems are considered. A minimal set of methods has been defined that is sufficient for the effective support of client functioning. A comparison is made of the main methods that a browser used as a universal means of providing client applications should include. The basic steps of the service-browser algorithm are presented. The service browser has the full range of necessary ways to process information from the client. At the same time, it is more lightweight than a web browser. However, well-known service browsers operate in a Windows environment, which limits the scope of use. The possibility of transferring and using a C#-based service browser from a Windows environment to a Linux environment is considered. The base problems with the transfer are described. Migration methods are proposed. Using the example of the service module "System Manager", which is actually identical in both systems, a comparative analysis of the work was carried out. In order to estimate only the operating time of the service-browser components, a unified database management system is used. The launch of the main modules in the Linux environment is somewhat faster, which is explained by the features of GTK widgets. At the same time, in the Windows environment, it is much easier to develop systems with a complex graphical interface due to a richer palette of visual components. Existing web browsers are quite cumbersome and contain many functions that may be unnecessary for the development of information systems. A compact solution that includes all the necessary methods for use in the client is to use a service-browser. This paper proposes a method for building service browsers in the Linux environment based on the C# language and the Mono package, taking into account the developed additional components.

Increasing access to cataract surgery in Counties Manukau by optimising the clinical pathway: a quality improvement report.

To streamline the cataract surgery pathway to improve the time from first specialist assessment (FSA) to surgery, while reducing the clinical priority assessment criteria (CPAC) score from 55 to 50. A quality improvement project using Lean Six Sigma tools and the Model for Improvement. Most data were collected from the i.Patient Manager (iPM) system and analysed using statistical process control charts. Change interventions included combining FSA and pre-admission clinics (PAC); post-operative telephone review by non senior medical officers (SMO); and using our own surgeons in private theatres. The standard cataract pathway was reduced from 5 to 3 appointments. This removed 1,514 hours of appointments, released 113 SMO hours and saved patients NZ$156,000 in indirect costs over a year. The average waiting time from FSA to surgery decreased from 90 to 77 days (-13.5%). The number of overdue patients reduced from 127 to 44 (-35%). The average number of patients on the FSA waiting list dropped from 322 to 205 (-40%). There was no change to the proportions of surgeries or appointment attendance rates by ethnicity. Average monthly cataract surgeries increased from 192 to 215 (+12%), and the CPAC score threshold was decreased to 50 in February 2021. Despite significant demand pressures, and the disruptions of COVID-19, we were able to reduce the CPAC score for accessing cataract surgery by optimising the clinical pathway to better utilise staff capacity and maximise value for patients.

Optimal information disclosure in a production-inventory queueing system

This study considers a production-inventory queueing system, where customers decide whether to wait for the item or leave without a purchase if a stockout occurs. The system manager determines the joint pricing and inventory control policy. In addition, the system manager can choose whether or not to provide information about the system state to arriving customers. Our strategic production-inventory queueing system includes the observable, unobservable, and almost unobservable systems, which are obtained by appropriately choosing the information disclosure policy by the system manager. In this study, we find the optimal information disclosure policy, as well as the optimal price and the optimal inventory control policy for the profit maximization and social welfare maximization. Under the optimal policy, the system manager should disclose the system state if and only if the queue length exceeds a certain threshold.

PROBLEMS OF BIBLIOGRAPHICAL MANAGERS FOR SCIENCE AUTOMATIZATION: APPROACH TO SOLVE AND ONTOLOGICAL VEIWPOINT

This paper explores the functionalities and limitations of major reference manager systems, focusing on their role in solving the author identification problem in academic research. It critically analyzes the features of popular reference managers like Zotero, EndNote, Mendeley, SciWheel, and Paperpile, assessing their capabilities in reference management and their approaches to author identification. The study reveals that while these systems offer robust reference management functionalities, including citation generation, bibliography management, and collaborative tools, they fall short in integrating advanced author identification mechanisms, such as ORCID. The lack of such features highlights a significant gap in current reference management solutions, impacting the accuracy and efficiency of scholarly communication. The paper emphasizes the need for enhanced features in reference managers to address author identification challenges effectively, particularly in the context of Open Science and FAIR data management principles. This study contributes to the understanding of current limitations in reference managers and underscores the importance of developing advanced features for accurate author attribution in the digital era of academic research. It focuses on using additional integrational data about the authors by using ORCID as the main identifier. This solution is crucial for countries with non-Latin alphabet, including Cyrillic.

Proposed model with weighted parameters for microgrid management: Incorporating diverse load profiles, assorted tariff policies, and energy storage devices

This study presents an optimization-based model with weighted and adjustable parameters, incorporating both deterministic and stochastic variants to enable a smooth transition between control strategies for microgrid management. The motivation to conduct this study arises from an identified gap in the literature on microgrid management, especially as not many studies tackle non-scheduled loads under different energy market policies. Considering this factor, the research objective is to ascertain the technical and economic advantages that the proposed approach offers to a microgrid characterized by a load profile that undergoes significant variations based on the day of the week. A Model Predictive Control (MPC)-based control system is employed as the system manager, using key performance indicators to assess the model’s effectiveness. The control strategy, implemented at the reference signal generator level, is designed to minimize operational costs and curb the Energy Storage System (ESS) degradation. The results demonstrate that the deterministic variant of the proposed model provides a significant quantitative return for the microgrid, especially in more stable load profiles. Additionally, the deterministic variant is a method that allows elucidating a range of values for the weighted parameters of the proposed model, which will be used in the approach stochastic variant. Conversely, the stochastic variant stands out by offering more pronounced benefits to the microgrid in scenarios with abrupt load profiles. Both versions of the model under study exhibit remarkable performance compared to the benchmark models.

Integration of Geospatial Data and Information in Margoluwih Village, Yogyakarta and Its Utilization for Multiple Stakeholders

As technology develops, geospatial information has been used for policy-making and decision-making. One of the geospatial technologies used is the Geographic Information System, which has been widely built and utilized by related agencies up to the village or district level. This article explains the strategy and parties involved in developing geospatial data and information integration in Margoluwih District and the benefits for these parties. The research method uses descriptive-qualitative data collection through interviews, observation, and documentation. The results of this paper show that geospatial data and information created by various parties can be integrated into an information system. The parties involved in providing data and receiving benefits from the development information system are the National Land Academy, Margoluwih District Government, Land Office of Sleman Regency, Land and Spatial Planning Office of Sleman Regency, Regional Financial and Asset Agency of Sleman Regency, UPTD Agriculture, Food, and Fisheries Extension Center Region III, Margoluwih Village Community Institution, and the Margoluwih Village Community. This indicates that the integration carried out provides benefits for multiple parties. The Margoluwih District Government, as data regent or information system manager, is expected to always maintain and update information independently and sustainably.

Strategic Implementation of AWS Security Services: A Focus on Best Practices, SSM and Secrets Manager

Purpose: As organizations increasingly migrate to the cloud, ensuring robust data security becomes paramount. This technical paper explores the purpose, methodology, findings, and unique contributions in cloud security, focusing on AWS Systems Manager (SSM) and Secrets Manager. The objective is to provide a comprehensive guide for engineers and architects seeking to enhance data security in their cloud environments.&#x0D; Methodology: The comparative study conducted involves analyzing the features, capabilities, and integration possibilities of AWS SSM and Secrets Manager. Real-world use cases, best practices, and security measures associated with these services are explored through a methodology that includes hands-on exploration, case studies, and a survey of existing literature to distill critical insights.&#x0D; Findings: The paper uncovers a rich landscape of security measures facilitated by AWS SSM and Secrets Manager. Findings highlight the strengths and limitations of each service, emphasizing the importance of their integration for a holistic security approach. Automated rotation of credentials, encryption options, IAM policies, and monitoring strategies emerge as critical findings, contributing to the overall understanding of secure cloud data management.&#x0D; Unique contributor to theory, policy, and practice: This work uniquely provides a detailed comparative analysis that empowers engineers and architects to make well-informed decisions. The paper offers insights into the nuances of AWS SSM and Secrets Manager, enabling professionals to tailor their security strategies based on specific use cases and requirements. The focus on real-world scenarios and identifying best practices make this contribution practical and applicable, serving as a valuable resource for those navigating the complex landscape of cloud security engineering and architecture.

ROSTAM: A passwordless web single sign-on solution mitigating server breaches and integrating credential manager and federated identity systems

The challenge of achieving passwordless user authentication is real given the prevalence of web applications that keep asking passwords. Complicating this issue further, in an enterprise environment, a single sign-on (SSO) service is often maintained but not all applications can be integrated with it. We envision a passwordless future which provides a frictionless and trustworthy online experience for users by integrating credential management and federated identity systems. In this regard, our implementation ROSTAM offers a dashboard that presents all applications the user can access with a single click after a passwordless SSO. The security of web passwords on the credential manager is ensured with a Master Key, rather than a Master Password, so that encrypted passwords can remain secure even if stolen from the server. We propose and implement novel techniques for synchronization (pairing) and recovery of this Master Key. We compare our solution to previous work using different evaluation frameworks, demonstrating that our hybrid solution combines the benefits of credential management and federated identity systems.

Grid manager design using Battery Energy Storage Systems in weak power systems with high penetration of wind energy

The increasing penetration of renewable energies is becoming a problem for the stability of the grid and the planning of electricity generation. The use of batteries in parallel to wind farms can be a very interesting issue in order to assure controlled power delivery of renewable energy sources. In this way wind energy can become in a predictable and even controllable energy resource. This article presents a proposition to design a grid manager for weak power systems with high penetration of wind energy using Battery Energy Storage Systems (BESS). Using power demand and wind predictions this system manager will send reference power to BESS and controllable generators. In this way the primary power reserve can be reduced and wind deviations will not affect to the performance of generators.

Practice and Effectiveness Evaluation of Rural Professional Manager System in Zhejiang Province: A Deep Cases Analysis

Practice and Effectiveness Evaluation of Rural Professional Manager System in Zhejiang Province: A Deep Cases Analysis

Monero With Multi-Grained Redaction

Monero is a privacy-centric cryptocurrency that allows users to obscure their transactions with multiple input and output addresses. Current research on Monero mainly focuses on identifying design vulnerabilities or optimizing towards stronger privacy, security, etc. For example, improving the design of ring confidential transaction (RingCT) protocol proposed by Noether et al. As revealed by Ali et al. in USENIX 2016, new blockchains have inadequate nodes and network computing resources to resist powerful attack (e.g. 51% attack). Obviously, Monero blockchain is not an exception. Ateniese et al. proposed the notion of redactable blockchain in EuroS&P 2017, which begins the trend of formalizing blockchain with extra cryptographic primitives. The motivation is to turn an immutable blockchain into a mutable ledger by adapting the blockchain design and integrating with new cryptographic schemes. In such a setting, users could use their private keys to perform the secure multi-party computation to reverse blockchain history. The idea of redactable blockchain has attracted many researchers to pursuit this topic. However, few works have considered the privacy-preserving setting. Even fewer have practised their designs in an actual cryptocurrency. In this paper, we seek to adapt the RingCT protocol with several building blocks. Our proposal achieves most of the desired properties for blockchain redaction. It allows multiple tracing authorities to collaboratively trace users' identities, and a system manager to perform multi-grained (including block-level, transaction-level, accumulator-level and commitment-level) redaction on block contents. Our proposal can be seen as an extension of RingCT protocol. We give rigorous security requirements and comprehensive analysis of our scheme. The performance evaluation suggested that our scheme suffers from some unscalabilities in large-scale implementations. A more elegant design to achieve stronger security and ideal scalability is deemed as a challenging and interesting future work.

Smart Agriculture system based on IoT reference architecture and service choreography

This paper presents a monitoring, control, and management system that allows the interoperability of multiple smart gateways in a greenhouse to bolster automatic decision making on water supplied to the crops in real-time. The system consists of several sensor nodes interconnected by Zigbee to measure ambient and soil parameters to control the greenhouse irrigation process. In addition, a web service is included to help the system manager to visualize and operate the greenhouse on a web platform. The system also supports human decision making to cope with undesirable and unexpected environmental events. Smart gateways enable data reading, storage and edge computing using automatic rules to manage actions in the greenhouse, as well as data transmission for centralized processing in cloud services. The service communication system layer is supported by choreography middleware for messaging distribution, which enables agile scalability. This research proposes a hybrid scheme and compares to a centralized scheme. The latency times in the choreography system were analyzed to find a suitable solution adapted to infrastructure deployment features. Numerical results shows that such an adaptive deployment of the irrigation services among edge and fog layers can reduce the computational load on the gateways, improve system response times, and enhance device performance.

Improving the Professional Competencies of Students of the Specialty 029 IBAS (ILAS) in the Process of Practice Performing

The aim of the article is to determine step-by-step improving the professional competences of the first education level students in specialty 029 “Information, Library and Archival Studies” in conditions of the practice process, and in accordance with the standard, educational and professional programs elaborated by the Department of Information Technologies at Kyiv National University of Culture and Arts (KNUKiM/KNUCA).&#x0D; Research methods are based on both general scientific methods and special ones. The use of analysis and synthesis makes it possible to analyze the theoretical research foundation. Systemic and structural-functional methods make it possible to comprehensively study the peculiarities of the practice organization at different educational levels. Argumentation of conclusions and scientific ideas is carried out using the method of generalization and content analysis.&#x0D; The scientific novelty consists in substantiating the step-by-step competences formation in practice conditions by students of the first education level, in accordance with the Standard of Higher Education of Ukraine: the first level (a Bachelor’s degree), a field of study 02 Culture and Art, specialty 029 “Information, Library and Archival Studies”, as well as educational and professional programs developed at the Department of Information Technologies, namely, “Manager of Library and Information Systems and Technologies”, “Documentation Science Specialist, Manager of State and Local Authorities”.&#x0D; Main conclusions. The first Bachelor’s degree of higher education requires students to master an educational and professional program. A mandatory component of this program is introductory, educational, productional and pre-diploma practice. The process of practice performing is aimed at improving, deepening and developing professional competencies that are formed during the assimilation of theoretical material and practical classes.&#x0D; The organization of practice in appropriate bases, particularly, in libraries, archives, information and analytical institutions, and other documentary and communication establishments has a number of advantages, contributes to the development of integral, general and professional competences.&#x0D; The effectiveness of the students’ acquisition of professional competencies depends on a variety of factors, which include these ones: the quality of practice, the training program and the tutors’ support, the students’ activity, the relevance of practice to educational goals, feedback and self-evaluation, which, in turn, help future specialists to prepare for a successful career, expand their opportunities, and increase confidence in their own abilities.

Power loss analysis on the Tantui Atas distribution network using ETAP

The process of distributing electricity from power plants to consumers always experiences loss of energy or power losses. Power losses are unavoidable in the distribution network system and if it exceeds the percentage it will harm the distribution network system manager in terms of power or energy distribution. There are two types of shrinkage in the electric power system, namely technical and non-technical shrinkage. Technical depreciation is depreciation that occurs as a result of impedance on generation equipment and distribution equipment in transmission and distribution so that there is lost power. This research is Survey Research, where no changes are made or there is no special treatment of the variables studied. The types of data needed to analyze this calculation are: SLD data, transformer capacity, transformer load, channel length data, conductor type and capacity. The variable used in analyzing the results of this study is the power losses in the Upper Tantui penyulang. Based on the simulation results and also the analysis of the power losses on the Upper Tantui repeater, it can be concluded that the value of power losses during WBP conditions is still in normal conditions, which is below the SPLN standard of 5%, while in the installed load conditions the value of power losses has exceeded the normal limit according to SPLN standards, which is above 5%, where in the installed load conditions the value of power losses has reached 5.48%.