Customizable System Research Articles

Document Storage and Verification System Using Blockchain Technology

A banking or identity provider can set up a customer identification data verification process between reliant parties with the use of the electronic know your customer (e-KYC) system. Due to its high degree of accessibility and availability and its efficient resource usage, the majority of banks choose to implement their e-KYC system on the cloud. All of the KYC procedures used by banks rely on encryption, which is a cumbersome process that may cause consumer data to be disclosed to unaffiliated financial institutions. Blockchain technology can be used to increase the efficiency of this system because it can automate a lot of human labor and is impervious to attacks of all kinds. The distributed ledger and immutable blockchain block make the perfect addition to the KYC process. The use of smart contacts can automate the identification of fraud. Any kind of KYC can be used to store information related to KYC identity. Consequently, financial institutions can establish a shared private blockchain on their premises for the purpose of document validation. This allows the user to maintain control over their private documents while also simplifying the process for banks to obtain the records needed for compliance

Stakeholders and issue management utilization in mining industry: Case study warehouse PT Freeport Indonesia

This research proposed the improvement of warehouse operations by employing a comprehensive analysis of stakeholders and implementing an issue management framework. The three-dimensional model of stakeholder identification and salience is applied to evaluate the attributes of power, legitimacy, and urgency among key stakeholders: customer, warehouse crew, and transportation crew. Utilizing tools like Empathy Map and Stakeholder Maps, the study gains insight into stakeholder perspectives and relationships within the material management environment. The analysis explains the crucial role of the warehouse crew in connecting and managing relationships. The Issue Management Framework, supported with Empathy Maps, is used to identify and address potential issues, while Stakeholder Maps aid in prioritizing solutions. The research concludes with a strategic plan and providing a holistic approach to potential challenges. The findings emphasize proactive measures to prevent stockouts and lateness of material services, proposing a direct material delivery system and regular training programs for customers to enhance understanding and reduce errors in material orders.

Reinforcement Learning-Based Optimization for Sustainable and Lean Production within the Context of Industry 4.0

The manufacturing industry often faces challenges related to customer satisfaction, system degradation, product sustainability, inventory, and operation management. If not addressed, these challenges can be substantially harmful and costly for the sustainability of manufacturing plants. Paradigms, e.g., Industry 4.0 and smart manufacturing, provide effective and innovative solutions, aiming at managing manufacturing operations, and controlling the quality of completed goods offered to the customers. Aiming at that end, this paper endeavors to mitigate the described challenges in a multi-stage degrading manufacturing/remanufacturing system through the implementation of an intelligent machine learning-based decision-making mechanism. To carry out decision-making, reinforcement learning is coupled with lean green manufacturing. The scope of this implementation is the creation of a smart lean and sustainable production environment that has a minimal environmental impact. Considering the latter, this effort is made to reduce material consumption and extend the lifecycle of manufactured products using pull production, predictive maintenance, and circular economy strategies. To validate this, a well-defined experimental analysis meticulously investigates the behavior and performance of the proposed mechanism. Results obtained by this analysis support the presented reinforcement learning/ad hoc control mechanism’s capability and competence achieving both high system sustainability and enhanced material reuse.

Innovative Customs System and its Impact on the Sustainability of the Transit Potential

Georgia, due to its geopolitical location, has the potential to become a transit hub connecting the West and the East, the North and the South, which will bring the country the greatest economic benefits and give it a significant political advantage on the international scale. In such conditions, the use of innovative tools of the customs system focused on stimulating financial and economic development is vital. Today's existing customs system cannot fully ensure the effective use of the country's potential, because cargo turnover carried out by road, rail, sea transport, and pipelines is not characterized by a significant growth trend. The paper proposes a model of an innovative customs system that ensures the growth of economic income for the country, which is mainly based on the growth of the country's transit potential and its effective use.
 Keywords: innovative customs system, transit potential, transit attraction, economic income, economic effect

Alat Bukti Elektronik dalam Penanganan Tindak Pidana Kepabeanan

This article will explain that international trade is part of the customs system and takes place in the customs area. Customs is a special type of crime that is regulated by a separate law outside the Criminal Code. Customs is a special criminal offense regulated by law outside the Criminal Code (KUHP). This special customs criminal law is regulated in a separate law outside the general criminal law contained in the Criminal Code. This special criminal offense is regulated in law outside of general criminal law separately, and rapid progress in the field of information and communication technology has led to the development of modern transactions via electronic media. Advances in information and communication technology, which have led to the development of modern transactions via electronic media, in connection with increasingly rapid technological advances, will of course give rise to a new social order. Recognized evidence (KUHAP) of course also makes digital or electronic evidence difficult to accept, as well as proving the defendant's guilt on the grounds that digital evidence has not been fully regulated in the Criminal Procedure Code (KUHAP), forms of action that can be categorized as criminal acts in the field of customs, and the legal force of proof using electronic evidence. This research uses normative methods, namely, conducting research on problems through an approach to legislation by examining statutory regulations.

Alat Bukti Elektronik dalam Penanganan Tindak Pidana Kepabeanan

This article will explain that international trade is part of the customs system and takes place in the customs area. Customs is a special type of crime that is regulated by a separate law outside the Criminal Code. Customs is a special criminal offense regulated by law outside the Criminal Code (KUHP). This special customs criminal law is regulated in a separate law outside the general criminal law contained in the Criminal Code. This special criminal offense is regulated in law outside of general criminal law separately, and rapid progress in the field of information and communication technology has led to the development of modern transactions via electronic media. Advances in information and communication technology, which have led to the development of modern transactions via electronic media, in connection with increasingly rapid technological advances, will of course give rise to a new social order. Recognized evidence (KUHAP) of course also makes digital or electronic evidence difficult to accept, as well as proving the defendant's guilt on the grounds that digital evidence has not been fully regulated in the Criminal Procedure Code (KUHAP), forms of action that can be categorized as criminal acts in the field of customs, and the legal force of proof using electronic evidence. This research uses normative methods, namely, conducting research on problems through an approach to legislation by examining statutory regulations.

Prevalence of Escherichia coli in electrogenic biofilm on activated carbon in microbial fuel cell.

For a better understanding of the distribution of depth-dependent electrochemically active bacteria at in the anode zone, a customized system in a microbial fuel cell (MFC) packed with granular activated carbon (GAC) was developed and subsequently optimized via electrochemical tests. The constructed MFC system was sequentially operated using two types of matrice solutions: artificially controlled compositions (i.e., artificial wastewater, AW) and solutions obtained directly from actual sewage-treating municipal plants (i.e., municipal wastewater, MW). Notably, significant difference(s) of system efficiencies between AW or MW matrices were observed via performance tests, in that the electricity production capacity under MW matrices is < 25% that of the AW matrices. Interestingly, species of Escherichia coli (E. coli) sampled from the GAC bed (P1: deeper region in GAC bed, P2: shallow region of GAC near electrolytes) exhibited an average relative abundance of 75 to 90% in AW and a relative abundance of approximately 10% in MW, while a lower relative abundance of E. coli was found in both the AW and MW anolyte samples (L). Moreover, similar bacterial communities were identified in samples P1 and P2 for both the AW and MW solutions, indicating a comparable distribution of bacterial communities over the anode area. These results provide new insights into E. coli contribution in power production for the GAC-packed MFC systems (i.e., despite the low contents of Geobacter (> 8%) and Shewanella (> 1%)) for future applications in sustainable energy research. KEY POINTS: • A microbial community analysis for depth-dependence in biofilm was developed. • The system was operated with two matrices; electrochemical performance was assessed. • E. coli spp. was distinctly found in anode zone layers composed of activated carbon.

Genetic Multi-Objective Optimization of Sensor Placement for SHM of Composite Structures

Increasingly often, due to the high sensitivity level of diagnostic systems, they are also sensitive to the occurrence of a significant number of false alarms. In particular, in structural health monitoring (SHM), the problem of optimal sensor placement (OSP) is appearing due to the need to reach a balance between performance and cost of the diagnostic system. The applied approach of considering nondominated solutions allows for adaption of the system parameters to the user’s expectations, treating this optimization problem as multi-objective. For this purpose, the NSGA-II algorithm was selected for the determination of an optimal set of parameters in the OSP problem for the detection of delamination in composite structures. The objectives comprise minimization of type-I and type-II errors, and number of sensors to be placed. The advantage of the proposed approach is that it is based on experimental data from the healthy structure, whereas all cases with a presence of delamination were acquired from numerical experiments. This makes it possible to develop a customized SHM system for the arbitrary location of damage.

Adopting Artificial Intelligence in a Decision Support System – Learnings from Comment Moderation Systems

Enterprise Information Systems (EIS) comprise components for decision-making in an organization. While traditional Decision Support Systems (DSS) rely on sophistically designed decision models, this approach has its limitations when it comes to making decisions based on large amounts of unstructured data. In this paper, we present the case of online community management, where moderators need to decide if user content (i.e., comments) can be published. We have implemented a moderation platform that utilizes Natural Language Processing (NLP) and Machine Learning (ML) to support moderators in their decision-making. From the development process and adoption of our platform, which were carried out as a Design Science Research (DSR) project, we have derived six design principles that assist in designing ML-based DSS. Our results imply that an ML-based DSS should be implemented using an open, customizable system, where decisions are made transparent and interpretable to users. Users need special onboarding and should always have the possibility to overrule the system.

Developing technical innovation model to study customer efficiency, system effectiveness and service efficacy in e-banking

Developing technical innovation model to study customer efficiency, system effectiveness and service efficacy in e-banking

Efficient Control and Automation: Exploring Siemens LOGO PLC and PLC-Based Industrial Timer Controllers

Siemens LOGO PLC is a compact system for small automation projects, programmed via LOGO Soft Comfort. Its graphical interface enables easy circuit program creation, facilitating customized control systems swiftly. LOGO Soft Comfort allows offline and online testing, simulation, and program archiving. PLC timers, integral to the system, regulate input and output signals, functioning like relay timers without physical presence or wiring. This paper delves into PLC-based industrial timer controllers, designed to supersede traditional hard-wired relay and timer logic systems. Common PLC timers include Pulse, On-delay, Retentive On-delay, and Off-delay timers, pivotal for time delays and production monitoring in industries. They facilitate actions like turning machines off after set periods or initiating them after specific delays upon sensor activation or button press

Performance Evaluation of Different Dispatching Rules and Heuristics in a Fully Automated Parking System

Conventional parking lots struggle to meet demand, prompting the rise of Fully Automated Parking Systems (FAPS), offering eco-friendly alternatives with advanced technology. However, operational challenges persist, especially in planning and scheduling. Real-time responsiveness necessitates dispatching rules and heuristics. This study comprehensively explores FAPS operational dynamics, assessing various rule combinations’ impact on customer wait times and system utilization. Utilizing a six-month MATLAB simulation, results favour the Nearest-Available-Slot (NAS) allocation rule coupled with First-Come-First-Served (FCFS) sequencing, emphasizing allocation’s pivotal role in system efficiency. Future research will refine allocation strategies to further optimize FAPS operational performance.

Relationship Between Alarm Fatigue and Stress Among Acute Care Nurses: A Cross-Sectional Study.

Given the vital nature of their profession, ICU nurses endure significant psychological and physical stress. Burnout, low job satisfaction, and deteriorated patient care might result from the high-stress atmosphere. This study aims to assess the level of alarm fatigue and stress among nurses who work in acute care units. A descriptive design was used to recruit nurses in acute care units. A self-administered questionnaire was used to collect the required data composed of three parts, namely demographical data; the alarm fatigue part, which was created by Torabizadeh et al. and composed of 13 items, and the perceived stress scale (PSS) which is a psychological diagnostic instrument created to assess how much people find their daily lives to be stressful. It was created by Cohen et al. and composed of 10 items. An average age of (35.3 ± 6.24) years, and an average number of years of experience of (7.63 ± 5.56), were found among the 128 nurses that were recruited. Acute care nurses had a significant degree of alarm fatigue, as indicated by the overall alarm fatigue score of (M = 30.1 ± SD = 7.47). A moderate degree of stress was also indicated by the overall perceived stress score, which was (M = 21.5 ± 5.02). Among nurses, alarm fatigue and felt stress are not correlated with any demographic feature, including sex, educational attainment, marital status, and working location. Stress and alarm fatigue are serious problems for acute care units that can jeopardize nurse and patient safety. The implementation of methods that mitigate alarm fatigue and stress, such as alarm customization, adequate staffing, and support systems, can enhance the work environment in acute care units. Healthcare companies can raise the grade of care provided to patients and enhance the general well-being and job satisfaction of their nursing staff by addressing these challenges.

PANDA: a self-driving lab for studying electrodeposited polymer films.

We introduce the polymer analysis and discovery array (PANDA), an automated system for high-throughput electrodeposition and functional characterization of polymer films. The PANDA is a custom, modular, and low-cost system based on a CNC gantry that we have modified to include a syringe pump, potentiostat, and camera with a telecentric lens. This system can perform fluid handling, electrochemistry, and transmission optical measurements on samples in custom 96-well plates that feature transparent and conducting bottoms. We begin by validating this platform through a series of control fluid handling and electrochemistry experiments to quantify the repeatability, lack of cross-contamination, and accuracy of the system. As a proof-of-concept experimental campaign to study the functional properties of a model polymer film, we optimize the electrochromic switching of electrodeposited poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) films. In particular, we explore the monomer concentration, deposition time, and deposition voltage using an array of experiments selected by Latin hypercube sampling. Subsequently, we run an active learning campaign based upon Bayesian optimization to find the processing conditions that lead to the highest electrochromic switching of PEDOT:PSS. This self-driving lab integrates optical and electrochemical characterization to constitute a novel, automated approach for studying functional polymer films.

SmartHeaP- A High-level Programmable and Customized Hearing Aid System on Chip Integrated in a Research Hearing Aid Prototype

SmartHeaP- A High-level Programmable and Customized Hearing Aid System on Chip Integrated in a Research Hearing Aid Prototype

A study on the application of quantum computing in improving the efficiency of English language learning

Abstract The rapid development of information technology has brought new opportunities to the field of language learning and formed new learning methods. In this paper, a content-based quantum recommendation algorithm is first proposed to calculate the preference attributes of English learners using the Hamming distance and then combined with the constructed dynamic interest model of learners to complete the personalized recommendation of English language learning resources. The algorithm is employed to build an English-language customized learning system that incorporates learning, resource management, and proficiency assessment functions, and performance testing is carried out simultaneously. Furthermore, the study utilizes the system to conduct application experiments to evaluate its improvement in English language learning efficiency. The results showed that the mean value of perceived satisfaction with the improvement of English language efficiency in classes using the system was 7.48, and the ANOVA results (F=3.88, p&lt;0.5) indicated a significant difference from the traditional method. Among them, the performance enhancement rates of superior and intermediate students were more than 45% and 62%, respectively, which effectively enhanced the efficiency of English language learning. After this study, it can provide a high reference value for the application of quantum machine algorithms in the field of education.

IoT-Enabled Indoor Navigation: Data-Driven Insights for Seamless User Experience from the Indoor Navigation Test

In order to improve the user experience in intricate interior settings, this research uses data-driven insights to investigate the dynamics of Internet of Things-enabled indoor navigation systems. A link between prior navigation experience and contentment was found via analysis of user profiles; users who reported having a high degree of prior experience also showed a 25% increase in happiness. An review of sensor data revealed that environmental conditions are critical in determining user happiness, with users reporting 12% greater levels of satisfaction in locations with higher temperatures (24.0°C). Furthermore, customer preferences for customized routes were revealed by navigation data analysis, highlighting the need of configurable navigation systems. Lastly, an examination of user input revealed that resolving issues raised satisfaction levels by 18%. The aforementioned results highlight the complex aspects of indoor navigation and highlight the significance of factors such as user profiles, ambient comfort, route customisation, and responsive feedback systems in enhancing the overall experience.

РОЛЬ МАРКЕТИНГА В РАЗВИТИИ ГОСУДАРСТВЕННЫХ ТАМОЖЕННЫХ УСЛУГ

The purpose of the article is to study the customs marketing system and its impact on the development of state customs services provided by customs authorities. The work used standard and specific research methods: the method of induction, deduction, analysis, synthesis, systematization, generalization, economic and logical analysis. Based on the research, the conceptual apparatus used in the system of customs marketing and government customs services was presented, which allows not only to more accurately define key concepts and their relationships, but also helps to establish common standards, improve communication, develop management strategies, and improve professionalism specialists in this field. It is shown that today there is an increase in demand for government customs services, this is primarily due to an increase in the volume of trade and procurement operations among foreign economic activity entities, their need for appropriate warehouse facilities for storing goods under customs control, as well as in organizing professional support procedures for customs declaration of goods. The use of marketing tools in the customs sector is aimed at increasing the efficiency of the services provided, ensuring the satisfaction of business entities and constantly improving the quality of the service provided. In addition, marketing has the effect of better informing users about available services, which can increase their attractiveness and therefore demand. The prospect for further research is the selection and study of the most effective marketing tools to improve the mechanism for providing state customs services.

МОДЕЛЬ И МЕТОДИКА ИССЛЕДОВАНИЯ СКВОЗНОГО БИЗНЕС-ПРОЦЕССА В ТАМОЖЕННОЙ ЭКОСИСТЕМЕ

This article provides a detailed examination of the operations occurring in the customs system aimed at conducting documentary and actual customs control. The average volume of loads processed by a particular element of the customs ecosystem, as well as the average time spent by a declaration at each stage of customs clearance, were calculated, the main parameters reflecting the productivity of the subsystem elements were determined, and a model of a multi-channel mass service system was built to determine the average time spent by a declaration of goods in various subsystems (customs offices, customs offices of direct subordination, regional customs administrations).

Теоретичні засади державної регіональної політики в умовах реалізації антикризового управління

The article discusses the urgent problems of sustainable development of Ukraine, which are focused on economic growth, improving the well-being of the population and preserving the integrity of the State in difficult security conditions. The study substantiates the need to revise and update regional policy, taking into account the current challenges and tasks of post-war development, as well as taking into account the experience of other countries. The article underlines the importance of ensuring sustainable development in all regions as a key path to the overall sustainable development of the country. The study provides an analysis of the main factors influencing regional development, emphasizes the need to take into account the fiscal and regulatory potential of the customs system, which is especially important for regions with border checkpoints. It is found that the State regional policy acquires a new meaning in view of the need to regulate and support regional development by legislative, financial, planning, investment and infrastructure measures. The study has also revealed a significant interest in the development and improvement of the organizational component of regional development management. Thus, this calls attention to the lack of comprehensive scientific research that would meet the new challenges of today. However, the development of digital technologies and their implementation in public administration opens up new opportunities for automating regional development processes. The article outlines the main directions of the State influence on the development of regions, in particular, legislative regulation, financial support, planning and coordination of activities, investment policy, development of infrastructure, education and science, optimization of social policy, environmental measures, industrial development, information potential and international cooperation. The importance of inter-budgetary transfers and taxes as key tools for supporting regions in the context of anti-crisis management, which contributes to the stabilization and development of regions affected by the crisis, is emphasized. Thus, the article proposes an integrated approach to ensuring balanced regional development, which takes into account modern challenges and contributes to the overall economic revival of the country.