Request Process Research Articles

Investigating the Determinants that Influence Consent Behavior for Linking Survey Data with Administrative Records

This research investigates the determinants of consent behavior in linking survey and administrative data, filling a notable gap in existing studies. It conducts a thorough systematic review of a wide variety of surveys from multiple countries, examining survey and consent design characteristics to assess their influence on consent rates. Through statistical analysis, the study evaluates numerous factors such as survey response rate, topic, country, year, type, mode, age of target population, sponsor, and various aspects related to the consent request process. The findings suggest that higher consent rates are more likely in computer assisted telephone interview (CATI) compared to self-administered surveys, in surveys sponsored by governments, in panel surveys as opposed to cross-sectional ones, and where explicit consent is sought, especially when the consent request is made at the start of the survey. This research makes a significant contribution to academic literature by empirically demonstrating the effect of various survey and consent design features on consent behavior, providing essential insights for crafting surveys to maximize consent rates for data linkage. It closes an important research gap in survey methodology and the behavior on data linkage consent, offering a unique, extensive analysis across a broad range of international surveys.

The FIRE-IN project: Tsunami-risk related practitioner challenges and 3rd cycle overall results

This article summarizes the methodology for the identification of practitioners’ challenges, in the context of the H2020 funded project FIRE-IN (Fire and Rescue Innovation Network) activities. The project consisted of five thematic areas or “Thematic Working Groups”, as they are called, i.e., Search and Rescue Emergency Response, Structure Fires, Landscape Fires Crisis Mitigation, Natural Hazard Mitigation and Chemical Biological Radiological Nuclear and Explosives, and three iterations, each one including the identification of capability challenges, the screening for solutions, that can potentially address these challenges, and the request for ideas regarding future innovations that will complement already existing ones and will assist in covering capability gaps. This article focuses on the natural hazard mitigation working group and tsunamis in the Mediterranean region as a case study for the 3rd and last iteration of the project. The scenario of a tsunami occurrence in the Mediterranean is the basis for the FIRE-IN 3rd cycle workshop, as an indicative example of a high impact – low probability event, which aims to identify practitioners’ Future Common Capability Challenges in Europe. The current status of the tsunami hazard in Europe, national and international tsunami risk mitigation measures and procedures and operational experience from recent events are also discussed. Focus is provided on the natural hazard mitigation and tsunami related practitioners’ challenges, while results from the FIRE-IN request for ideas process and the interaction between practitioners, researchers and industry are also discussed. The aim is to present practitioners’ current and future capability challenges , one of the main outcomes of the FIRE-IN project, and to provide further guidelines to stakeholders of disaster management towards a safer Europe, mainly, through preparedness and adaptation for stronger and resilient societies.

Novel Resource Allocation Technique for DVB-RCS Compliant Satellite Terminals

Satellite communication is advantageous for several reasons such as broad coverage, small installation time of remote user sites, and network services in inhospitable terrains, where installing terrestrial infrastructure is costly. With the advent of broadband multimedia satellites such as Ku and Ka band satellites, multimedia services to the satellite terminals are gaining momentum. Digital Video Broadcast Return Channel via Satellite (DVB-RCS) is an open standard developed by ETSI which has further standardized, commercialized and solved the problem of inter-operability of Ku Band satellite terminals. Satellite bandwidth is scarce therefore treated as precious resource. In the present paper, authors aim to develop and realize the resource allocation techniques in return link channel for DVB-RCS compliant satellite terminals. The paper provides method for giving preference to real time application in terms of early processing of allocation request generated against the real time traffic to reduce delay and also provides method to avoid parallel connection arises due to transmission of terminal on more than one frequency at a time. Authors have realised DVB-RCS resource allocation technique and have given simulation results.

An improved time advance method for distributed multi-resolution modelling with interactive deviation characterization

Multi-resolution modelling (MRM) has been increasingly applied in engineering practice. While in a distributed simulation environments, time advance method for MRM is less studied. When the system is running in a relatively low-resolution status, it usually adopts basic time advance modes to save simulation resources. However, these basic modes usually suffer from inaccurate response of interactions and are separate from the resolution switching process. In this paper, we propose an improved time advance method for distributed multi-resolution models. We introduce an interaction table to enable dynamic management of interactions, and decouple the interaction request process from the interaction response process, resulting in a more fine-grained interactive mode. Moreover, the interactive deviation index is introduced to quantitatively characterize the cumulative errors from delayed interactions. This index has been incorporated into resolution switching conditions to provide a more flexible and intuitive way for multi-resolution modelling. Proposed method has been verified on both theoretical cases and practical applications, and can achieve high simulation accuracy with less time consumption.

Blood Bank Management System and Inventory Optimization

The research paper proposes an innovative approach to revolutionize blood bank management through a meticulously organized database system and a user-friendly application, aimed at addressing India's alarming shortage of blood supply. By streamlining information storage and retrieval, the system enhances efficiency and encourages consistent blood donations through timely reminders and real- time event updates for donors. For recipients, it simplifies the blood request process, particularly crucial during emergencies. This holistic approach not only tackles the immediate issue but also fosters a sustainable blood donation ecosystem, showcasing the potential of technology in addressing critical healthcare challenges and promoting community engagement in life-saving endeavours.

Construction of block diagrams of a simulation model of the customer service process

The article, which is part of the author’s dissertation research, is devoted to the construction of a simulation model, namely a discrete-event model of the customer service process «as is» and «as will be». The introduction substantiates the relevance of the research topic, highlighting the object and subject of the study. A hierarchical structure of the system of quality indicators for infocommunication services has been constructed. There are 4 levels of indicators, at each level quality indicators are highlighted, namely: service speed indicators (average service time for a technical fault, average response time for reference services); satisfaction indicators (percentage of calls regarding technical aspects of service, percentage of calls regarding organizational aspects of service) and others. A hypothesis has been put forward about a change in the state of the service process after the introduction of a functional dialog agent into the process, which involves a reduction in customer service time. To test the hypothesis about reducing customer service time, discrete-event simulation models of the process «as is» and «as will be» were built, since modeling in terms of queuing theory not only improves the understanding of existing processes in the company, but also helps to identify bottlenecks and identify areas for further optimization, which ultimately leads to increased customer satisfaction and the efficiency of the company as a whole. Within the framework of the developed discrete-event model, the main attention is paid to two main stages: modeling the receipt of requests and modeling the processing of requests. Process optimization includes the introduction of an automated diagnostic system, namely a functional conversational agent to reduce wait time and increase request processing throughput. Block diagrams of discrete-event simulation models of the service process were also constructed in terms of the AnyLogic environment, and the advantages of its use were highlighted. The main objects used to create discrete-event models that describe the mathematical state of the simulated system are presented.

An improved resource allocation method for mapping service function chains based on A3C

AbstractNetwork function virtualization (NFV) technology deploys network functions as software functions on a generalised hardware platform and provides customised network services in the form of service function chain (SFC), which improves the flexibility and scalability of network services and reduces network service costs. However, irrational resource allocation during service function chain mapping will cause problems such as low resource utilisation, long service request processing time and low mapping rate. To address the unreasonable problem of service mapping resource allocation, an improved service function chain mapping resource allocation method (SA3C) based on the Asynchronous advantageous action evaluation algorithm (A3C) is proposed. This study proposes an SFC mapping model and a mathematical model for joint allocation, which modeled the minimization of processing time as a Markov process. The main network was trained and multiple sub‐networks were generated in parallel using the ternary and deep reinforcement learning algorithm A3C, with the goal of identifying the optimal resource allocation strategy. The experimental simulation results show that compared with the Actor‐Critic (AC) and Policy Gradient (PG) methods, SA3C algorithm can improve the resource utilisation by 9.85%, reduce the total processing time by 10.72%, and improve the mapping rate by 6.72%, by reasonably allocating node computational resources and link bandwidth communication resources.

Optimizing radiological diagnostic management via mobile devices in trauma surgery

Time is ascarce resource for physicians. One medical task is the request for radiological diagnostics. This process is characterized by high administrative complexity and sometimes considerable time consumption. Measures that lead to an administrative relief in favor of patient care have so far been lacking. Process optimization of the request for radiological diagnostics. As aproof of concept the request for radiological diagnostics was conducted using amobile, smartphone and tablet-based application with dedicated voice recognition software in the Department of Trauma Surgery at the University Hospital of Würzburg (UKW). In aprospective study, time differences and efficiency of the mobile app-based method (ukw.mobile based Application = UMBA) compared to the PC-based method (PC-based application = PCBA) for requesting radiological services were analyzed. The time from the indications to the completed request and the time required to create the request on the device were documented and assessed. Due to the non-normal distribution of the data, aMann-Whitney Utest was performed. The time from the indications to the completed request was significantly (p < 0.05) reduced using UMBA compared to PCBA (PCBA: mean ± standard difference [SD] 19.57 ± 33.24 min, median 3.00 min, interquartile range [IQR] 1.00-30.00 min vs. UMBA: 9.33 ± 13.94 min, median 1.00 min, IQR 0.00-20.00 min). The time to complete the request on the device was also significantly reduced using UMBA (PCBA: mean ± SD 63.77 ± 37.98 s, median 51.96 s, IQR 41.68-68.93 s vs. UMBA: 25.21 ± 11.18 s, median 20.00 s, IQR 17.27-29.00 s). The mobile, voice-assisted request process leads to aconsiderable time reduction in daily clinical routine and illustrates the potential of user-oriented, targeted digitalization in healthcare. In future, the process will be supported by artificial intelligence.

ANALYSIS OF THE COMPLIANCE OF IMPLEMENTING PERFORMANCE ALLOWANCES FOR CIVIL SERVANTS AT LEMDIKLAT POLRI WITH THE PROVISIONS OF THE INDONESIAN NATIONAL POLICE CHIEF REGULATION NUMBER 7 OF 2020

The research evaluates the implementation of performance allowance policies for Civil Servants at Lemdiklat Polri (Indonesian National Police Education and Training Institute). The bureaucratic structure effectively supports policy implementation due to Standard Operating Procedures (SOP) from the central authority serving as a reference. However, inter-organizational communication faces obstacles when interacting with employees as the target group. Information about National Police Chief Regulation Number 7 of 2022 and Employee Performance Appraisal (SKP) procedures has not been adequately communicated, leading to discrepancies in performance allowances and SKPs.Insufficient human resources can impact the policy's success, especially in Lemdiklat Polri's Human Resources Department (Bag SDM Rorenmin). However, infrastructure and facilities seem adequate to support policy implementation. Policy implementers still lack a high commitment to their duties as per National Police Chief Regulation Number 7 of 2020. Delays in monthly performance allowance disbursement are common due to tardiness in attendance summaries and processing requests. This reflects that policy commands aren't fully executed by the target group, primarily due to ineffective communication influencing their behaviour. Addressing these challenges is essential to implement performance allowance policies at Lemdiklat Polri successfully.Keywords: Compliance, Performance Allowances and National Police Chief Regulation Number 7 of 2020

Implementasi REST API Web Services pada Aplikasi Sumber Daya Manusia

Human resources management is a vital component within any organization, serving as a valuable asset and a driving force. However, many companies face challenges when it comes to managing employee data, processing leave requests, and generating accurate salary reports, often relying on cumbersome manual processes. This research aims to address these challenges by implementing a REST API (Representational State Transfer Application Programming Interface) in a web-based human resources application. The REST API is carefully built using the Laravel framework, adhering to REST architecture principles to ensure security during internet-based information exchange. The development methodology employed for this application is the waterfall method, a sequential and structured approach to software development. Through these enhancements, this application is expected to significantly assist HR departments in efficiently managing employee data, expediting leave request processing, and simplifying the generation of comprehensive reports. The anticipated outcomes of this research are expected to equip HR professionals with the necessary tools to efficiently navigate these intricate tasks, ultimately enhancing organizational efficiency and effectiveness.

Methodological recommendations on the practical application of tools for ensuring safe information interaction of cluster members

Based on the conducted research, the article presents methodological recommendations on the choice of implementation of the coordination organizational and management body of the cluster in the aspect of its information and communication interaction, depending on the type of cluster. It also describes proposals for flexible adaptation of cluster employees based on change management, aimed at overcoming resistance to innovations. The recommendations described in the article will make it possible to effectively implement in Russian clusters tools for automating the processing of requests to determine the authenticity of the subject, extraction and parallel processing of the targeted information pool while maintaining its speed, while optimally revealing their advantages in each practical case, realizing synergetic and multiplicative effects, as well as obtaining opportunities to consolidate the result and subsequent replication of such experience.

Camguard: Preventing unauthorised camera access for women’s saftey

Online harassment is a serious problem that can have significant negative impacts on the mental health and well-being of its victims. To address this issue, an Android app has been developed that is accessible to a wide range of users worldwide. The app is built on a script backend process, providing a stable and efficient environment for data management and request processing. The app's API is integrated into the script backend process, ensuring seamless and efficient operation.During the installation process, the app requires users to go through a verification process that includes providing their Google Account, mobile number, and an OTP. This ensures that only legitimate users have access to the app's features and functions. The app also requires users to create a strong master password, which is directly connected to the Google bot, enhancing its security. Biometrics are recommended to protect the master password, ensuring that only authorized users can access their data.The app's security measures are crucial in ensuring the privacy and protection of user data. The use of biometrics and direct connection to the Google bot enhances security, and the app's API provides access to relevant information and enhances the user experience. Users can change their password securely, ensuring that only authorized users can access their data.Overall, the app is a reliable and efficient solution for managing and protecting user data. Its compatibility with a wide range of devices and seamless integration of API make it accessible to a large percentage of Android users worldwide. The app's verification process, use of biometrics, and direct connection to the Google bot enhance its security, ensuring that only authorized users have access to the app's functionalities. The development of this app is a critical step in addressing the issue of online harassment and protecting the privacy and well-being of its users.

СОЗДАНИЕ СИСТЕМЫ ДЛЯ РЕШЕНИЯ ПРОБЛЕМ НА РЫНКЕ АГРЕГАЦИИ СКИДОК

The article is devoted to the creation of an innovative tool for aggregating discounts and promotions, designed to simplify the process of finding discounts for consumers and provide companies with the ability to monitor competitors’ discounts. The purpose of creating the tool is to react quickly to market changes and increase customer loyalty by providing more attractive offers. In the process of designing the discount aggregation system, attention is paid to all aspects necessary to create an efficient and reliable tool that meets the needs of users and provides a high level of security. The objectives of the system to be developed are formed: automation of the process of collecting and processing discount data, data filtering and validation, data classification and normalisation, efficient storage and processing of user requests. Key business processes such as data collection, data filtering and validation, classification, storage, user request processing, data personalisation and provisioning, analysis and monitoring are defined. The general algorithm of the information system is developed, input and output information arrays are allocated, the organisational and logical essence of the discount aggregation system problem solving is designed.

The Impact of Multiple API Connection Request to An Open-Source Android-based Currency Tracker's Performance and The Mitigation

High traffic data requests through APIs can significantly impact the performance of mobile applications, affecting both the user interface and overall system performance. The user's perception and experience while performing tasks within the application are closely tied to the perceived performance of the user interface. To understand the impact of connection requests on application performance, a study is necessary, with responsiveness being a critical factor. This study aims to investigate the potential effects on the user interface when each unit or feature in the application requires a data connection through the API. The study will examine code patterns and conduct multiple data requests through APIs. Performance profiling will be the main method used to test each unit or block of code related to data request and reception via the API. The obtained results from the testing process will reveal the performance of the currency tracker application, specifically in areas directly associated with data request and reception via the API. To optimize the request and data calling process, best practices such as AsyncTask and Coroutine will be implemented. The implementation of these best practices will be assessed based on a predefined matrix to measure improvements needed to enhance applications’ performance. Therefore, the results of this study will demonstrate the influence of data request and reception processes within applications on network activity. Furthermore, the implementation of best practices, specifically AsyncTask and Coroutine, will enhance the overall performance of the application.

A Dual-Objective Approach for Allocation of Virtual Machine with improved Job Scheduling in Cloud Computing

In Cloud Computing (CC) environment, requests of user are maintained via workloads that are allocated to Virtual Machines (VMs) using scheduling techniques which primarily focus on reducing the time for processing by generating efficient schedules of smaller lengths. The efficient processing of requests also needs larger usage of resources that incurs higher overhead in the form of utilization of energy and optimization of cost utilized by Physical Machines (PMs). Assignment of VMs optimally in the environment of CC for jobs submitted by users is a challenge. In order to obtain better solution involving scheduling of jobs to VMs, considering two parameters utilization of energy and cost, we present a dual-objective approach for VM allocation with improved scheduling of jobs in CC environment. The proposed work aimed to build a dual-objective scheduling model for improved job scheduling, focusing on minimization of cost and utilization of energy at a time. For evaluating performance of dual-objective approach, we utilized two types of benchmark datasets and compared with existing approaches such as Whale, Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Metaheuristic Dynamic VM Allocation (MDVMA) techniques. The results obtained from simulation demonstrated that dual-objective approach performs better in the form of minimization of utilization of energy and cost

Development of Algorithm and Data Structure for 2D Regions Discrete Model Elements Accelerated Search

This paper is devoted to improving the search request processing productivity for planar discrete models used in engineering software. A data structure has been developed to accelerate the search for discretization elements based on a hierarchical triangular mesh. The developed indexing structure is built by a downward iterative algorithm, which constructs each new level of the hierarchy based on the previous level or indexed triangulation by simplifying it, which ensures that the morphology of the triangulation mesh is preserved throughout all levels of the hierarchical indexing structure. The developed building algorithm ensures the presence of tree-like connections between the levels of the hierarchical triangulation mesh, which allows downward navigation between geometrically close triangles. Search acceleration is achieved by performing a directed search in the top level of the indexing structure and then navigating between levels using downward links until the indexed triangle is found. The program implementation was carried out using C++17, and visualization of triangulation grids and isolines was carried out using the ObjectARX library. Based on the software implementation, an executive library was created.

A new authentication scheme for dynamic charging system of electric vehicles in fog environment

AbstractThe dynamic charging system of electric vehicles has great potential for development. Electric vehicles initiate charging requests, and charging stations charge authorized electric vehicles. Fog computing improves the efficiency of request processing. However, open channels can be vulnerable to various attacks by a malicious adversary. Mutual authentication schemes allow users and charging stations to confirm each other. Therefore, numerous authentication and key agreement schemes have been proposed. In 2021, Babu et al. proposed an authentication scheme based on fog servers. Unfortunately, we found that their scheme can not resist FS impersonation attack and replay attack. Hence, we propose an authentication scheme between electric vehicles and fog servers to resolve the security weakness. Our scheme uses lightweight hash functions and XOR operations, which is more suitable for resource‐constrained electric vehicles. We proved our scheme can achieve mutual authentication by using BAN logic, and analyzed that our scheme can resist impersonation, replay, and known session key attacks, ensuring anonymity and untraceability. We finally compare computation cost and communication cost of our scheme with the existing schemes. The result shows that our scheme performs better than others overall. Therefore, our scheme is secure and suitable for dynamic charging systems.

The potential of Blockchain in improving the security of Websites

With digital transformation and the rise of cyber threats, website security has become a vital part of the Internet. Websites contain a large amount of sensitive information, such as user personal data, financial information and trade secrets. Criminals are constantly looking for vulnerabilities to attack and steal data, which can lead to serious consequences for users and website owners. This study provides an extensive analysis and comparative study of the effectiveness of blockchain technology compared to traditional website security methods. The main focus of the study is on evaluating key parameters such as decision accuracy, query processing speed, and overall system reliability. During the study, the influence of the number of blocks in the blockchain chain and the quality of encryption on the accuracy of decision-making was revealed. The ability of the system to effectively contain potential threats was analyzed. The speed of processing requests was evaluated taking into account the possible impact of increasing the number of blocks and the complexity of encryption on system performance. A comprehensive formula for assessing the overall reliability of the system has been developed, which combines the positive and negative aspects of blockchain technologies. The obtained results indicate that by integrating factors of accuracy and speed of processing into a comprehensive assessment of system reliability, the use of blockchain allows to increase the overall reliability of the website protection system.

PERANCANGAN WEBSITE PENGELOLAAN DATA KARYAWAN UNTUK PENERAPAN KEBIJAKAN WFH PADA PT. MEDIA KOTAK PINTAR

The research conducted at PT. Media Kotak Pintar highlights the challenges arising from the adoption of Work From Home (WFH) practices, which have not been fully addressed. The company faces difficulties in managing employee data, particularly in the manual and fragmented online leave request process across different platforms. Therefore, this study aims to design a web-based system to address these issues. The research methodology employed is Prototyping, involving stages such as needs identification, rapid design, prototype development, testing, and communication with users. Figma is used for designing the website interface, while MySQL serves as the database. The designed employee data management system encompasses attendance records, salary information, and leave requests. The system aims to facilitate employees in efficiently managing their data, expediting the leave request process, and ensuring data consistency. The implementation of this system is expected to enhance the efficiency of the HR department and provide a better experience for employees in managing their data and leave processes. This research is relevant in the context of evolving work dynamics during the pandemic, where WFH has become the norm.

Performance analysis of REST API technologies using Spring and Express.js examples

The purpose of this article is a comparative analysis of two technologies for building applications in REST architecture. A Java-based development framework - Spring, and a framework designed for JavaScript language and Node environment - Express.js were analyzed. The test application was designed and implemented in both studied technologies. Using the Apache JMeter tool, HTTP request processing times were measured by operating on simple text data. The experiment was based on 5 scenarios repeated for a different number of users in the range of 10 to 100, with a constant number of executed requests to the server. The analysis conducted showed that the application implemented in Express.js handles HTTP requests up to 249% more efficiently than its counterpart in Spring.