Identification Of Assets Research Articles

ARTIFICIAL INTELLIGENCE SUPPORTED CITY INFRASTRUCTURE MANAGEMENT: AUTOMATIC DETECTION OF MANHOLE COVERS AND DRAINAGE WITH YOLO ON GOOGLE STREET VIEW IMAGES

With rapid urbanization, maintaining urban infrastructure has grown into a gigantic requirement. Proper and timely identification of infrastructure assets, such as manhole covers and drainage, is of utmost importance to ensure that water drainage and sewerage systems work properly within the precincts of a city. The classical methods of inspection have contributed to being slow, expensive, and full of errors. The paper tries to implement the use of YOLO in the automatic detection of manhole covers and drainage in images derived from Google Street View. This study will be focused on how to integrate results from object detection with MIS in order to monitor city infrastructures and optimize the planning of maintenance. These results proved that YOLOv11 has a very high accuracy rate and has identified manhole covers and drainage from imagery on Google Street View. Performance metrics included mAP@0.5 and mAP@0.5-0.95, which described sensitivity and accuracy of the model, while the FPS analysis described the applicability in real time. Those kinds of findings have underlined that AI-based solution usage is efficient in the automatic monitoring and management of urban infrastructure and prove their potential to contribute much to decision support systems.

Renewable energy transformation using solar panels in the Red Tilapia Intensive System community

The transition to renewable energy is a strategic response to the global energy crisis and climate change. A community service project was conducted to promote energy independence for the Red Tilapia Intensive System (REDTIS) community by installing solar panels. Utilizing the Asset-Based Community Development (ABCD) method, the initiative involved installing two solar panels with a total capacity of 200 WP, a 100 AH battery, a 30 A solar charge controller, and a 500 Watt inverter to power a 100-Watt aerator. The project began with community asset identification, renewable energy analysis, system design, installation, and performance monitoring. The solar panel system generated an average of 1 kWh daily, covering approximately 41.3 percent of the aerator's 2.4 kWh daily energy requirement. This reduced reliance on conventional energy, lowering electricity costs and carbon emissions. While the solar panels did not fully meet the aerator's energy needs, the initiative demonstrated significant potential for scalability. Enhancing energy production, storage, and management is expected to achieve complete energy independence. This project serves as a replicable model for other communities seeking sustainable energy solutions.

Santriprenuership: A Strategic Approach to Human Capital Development

Economic development in the era of industry 4.0 has emerged as a crucial societal concern, drawing significant attention from scholars and practitioners. On a theoretical level, the discourse centers around achieving sustainable development through economic self-sufficiency. At a practical level, economic progress should be accessible to all strata of society, including those within Islamic boarding schools. This inclusivity extends to the development of santripreneurship, a rapidly growing concept within the Islamic boarding school community. Santripreneurship refers to a new breed of students who possess expertise in both religious studies and practical knowledge, with a strong inclination toward business and entrepreneurship. This research aims to delve deeper into the development of human capital within Islamic boarding schools through santripreneurship and identify a strategy to cultivate student potential, fostering an entrepreneurial spirit and mindset that aligns with local cultural values, all while enhancing their knowledge and skills in accordance with Islamic boarding school principles. This research is conducted at Nurul Haromain 93 Islamic Boarding School in Tolbuk Village, Bangkalan, Madura. We employed a qualitative descriptive approach, utilizing in-depth interviews, focus group discussion (FGD), questionnaire and direct observation to assess potential and formulate strategies for human capital development through santripreneurship at this institution. Our findings indicate a significant reservoir of untapped resources and human capital development strategy within the Islamic boarding school. We propose various methods to harness this potential, including the identification of pesantren assets and introduction of early entrepreneurship education and training for santri and teachers. Furthermore, the research findings encourage government participation in the development of santripreneurship in new-small scale pesantren that are pioneered independently. Keywords: human capital development, santripreneurship, santripreneur, Islamic boarding schools, economic development

Automated Forensic Examination of Virtual Assets Using XGBoost

The issues of identification of virtual assets and digital currencies have become more acute in recent years because of increased numbers of transactions, their increased volumes, and complexity in forensic examination. This paper is devoted to a new method of the automated forensic investigation of virtual assets with the help of a powerful machine learning algorithm called XGBoost. XGBoost has very high speed and it is quite useful when dealing with large amounts of data and used for finding patterns that may suggest unlawful operations. The given framework is based on XGBoost by identifying the transactions using their features activities, amount, frequencies, volumes and addresses. Through training the model that is given the historical data, the model is, therefore, able to separate normal and suspicious transactions and alert the decision-making process for further review. Network analysis integration takes the system capability to a new level by enabling the identification of intricate transaction characteristics and the interconnectedness of addressing. Aside from adding automation to the forensic examinations to make it more efficient and accurate, such a procedure assists in identifying the developments of virtual asset transactions. The results show the effectiveness of the XGBoost in supporting the advance of forensic investigators helping them to meet the growing roles that cybercriminals portray in today’s digital asset markets.

The Church of St. John the Baptist in the Vlach Village of Orawka (the 17th century) – Identification of Tangible and Intangible Cultural Heritage Assets

The Church of St. John the Baptist in the Vlach Village of Orawka (the 17th century) – Identification of Tangible and Intangible Cultural Heritage Assets

When segment anything model meets inventorying of roadway assets

Automating the identification, localization, and monitoring of roadway assets distributed widely in the roadway network is critical for the traffic management system. It can efficiently provide up-to-date information in supporting transportation asset management. Collecting videos with vehicle-mounted cameras and processing the data with computer vision-based deep learning methods is garnering increased attention from transportation agencies. While promising, challenges arise due to the lack of high-quality annotations for roadway assets in images, difficulties in identifying these assets, and limited solutions. The Segment Anything Model (SAM), a visual foundation model, demonstrates robust zero-shot capability for general image segmentation under various prompts. This study evaluates SAM’s applicability and efficiency in extracting roadway assets from images. Specifically, it examines the impacts of model size and prompt quality on SAM’s performance in segmenting roadway assets. Five state-of-the-art semantic segmentation models are trained and compared with SAM. Results show that a lightweight SAM with human-rendered prompts outperforms the five semantic segmentation models. Based on the evaluation results, future work will explore incorporating SAM into transportation asset management applications, promoting collaboration between human experts and artificial intelligence.

Integrating HEC-RAS, GIS, and LISREL for assessing and enhancing urban building resilience against flood threats: Comprehensive model and analysis

Floods pose significant threats to urban areas, resulting in substantial human and financial losses annually. The vulnerability of key urban centers to these risks diminishes their efficiency, leading to public dissatisfaction and service deficiencies. Recognizing and enhancing the resilience of essential buildings becomes crucial in mitigating these challenges. This study employs a comprehensive approach to achieve a resilience model for critical buildings facing floods. The research process involves the identification of city assets based on leveling criteria, utilizing GIS technology for spatial mapping. HECRAS software aids in river flow modeling, identifying areas lacking flood-carrying capacity. By overlaying vulnerable gravity centers with flood-prone regions, building resilience components are computed through structural factor analysis and LISREL modeling. The study identifies ten key criteria. Further analysis includes resilience modeling using TOPSIS and AHP methods. The positive ideal and negative ideal solutions are determined, resulting in the grading of building resilience. Notably, the balance redundancy index with cascading potential effects attains the highest positive ideal value at 0.257, while the resistance to a level of stress index achieves the lowest negative ideal value at 0.02. This comprehensive approach and modeling contribute to the understanding and enhancement of urban building resilience in the face of flood threats.

ARCHITECTURE DESIGN OF HEALTH ASSET DETECTION SYSTEM IN HOSPITAL

Efficient management of hospital assets is essential to ensure that operations can run optimally and the quality of health services is good. However, the recording and management of assets in hospitals carried out manually often causes data errors, information mismatches, and also assets are only known by the manager without being explicitly recorded. In overcoming this problem, the researcher aims to develop a hospital asset detection system architecture using an iterative and incremental methodology approach. The stages of this system development include identification of needs and conceptual models, logical architecture design, conceptual architecture design, logical architecture, physical architecture, technology selection, and evaluation. This system utilizes YOLO model reading technology for asset detection and identification, storing detection results into a local database using SQLite3, sending data to a central server via API, and post-processing data by selecting the highest confidence score stored in a MySQL database and then using the data to manage asset management and asset visualization. The implementation of this system successfully reduces manual recording time, improves asset visibility, and optimizes resource usage, thus contributing to the improvement of efficiency and quality of health services.

Pengembangan Digitalisasi Inventaris Berbasis Web Untuk Meningkatkan Manajemen Aset Tetap Pada PT ANTAM Tbk UBPE Pongkor

PT Aneka Tambang (ANTAM) Tbk. operates several business units, including the Pongkor Gold Mining Business Unit (UBPE Pongkor). Currently, UBPE Pongkor relies on the SAP (System Application and Products) system and manual reconciliation for fixed asset management. The current system, relying on SAP and manual reconciliation, lacks automated tracking of physical location, asset ownership, and depreciation calculations. To optimize fixed asset management, ANTAM is implementing a QR-Code-based system for asset identification. This research aims to investigate how a digital inventory system can enhance the company's efficiency, accuracy, and operational performance. Specifically, it evaluates the effectiveness of inventory and asset reconciliation activities to ensure data consistency between the system and physical conditions in the field. The research employs a qualitative approach using a descriptive method with data collection techniques of observation, interviews, and documentation. Additionally, it utilizes the Waterfall development methodology. The findings of this research project report indicate that the fixed asset management through digital inventory at PT ANTAM Tbk. UBPE Pongkor operates effectively and aligns with the overall operational process. This includes system planning, system design, implementation, system development, testing, system compatibility testing, and usage and maintenance phases.

Threat Modeling for Cyber Warfare Against Less Cyber-Dependent Adversaries

Cyber warfare poses a substantial threat in today's interconnected world, where digital attacks can transcend physical boundaries and affect targets globally. Technologically, less advanced adversaries, such as smaller nations or organizations with limited resources, face unique challenges in defending against sophisticated cyber attacks from more advanced entities. This paper explores the threat landscape for these adversaries and proposes a tailored threat modeling framework to address their specific vulnerabilities and needs. By examining the evolution of cyber warfare, including historical incidents and the increasing sophistication of cyber attacks, the study highlights the limitations of existing threat modeling approaches like the Cyber Kill Chain, MITRE ATT&CK Framework, and SWOT analysis when applied to less advanced adversaries. A comprehensive literature review underscores the gaps in current research, particularly the necessity for frameworks tailored to asymmetric technological capabilities. Employing a mixed methods approach, the research combines qualitative and quantitative data from primary sources, such as interviews with cybersecurity experts, and secondary sources, including existing literature and case studies. The proposed framework focuses on asset identification and classification, vulnerability assessment, threat analysis, and risk assessment. Proactive measures, such as basic cyber hygiene practices, advanced threat detection systems, and collaboration with technologically advanced allies, are recommended alongside reactive measures like incident response planning and disaster recovery. The importance of international cooperation and information sharing is also emphasized. Case studies of cyber incidents involving less advanced adversaries, such as the attacks on Estonia, Georgia, and Ukraine, validate the framework and demonstrate its practical application. The findings indicate that the tailored threat modeling framework effectively addresses the unique challenges faced by less advanced adversaries, enhancing their ability to mitigate risks and improve their cybersecurity posture. This study provides valuable insights and offers a practical framework to bolster defenses against cyber warfare, with future research needed to explore emerging threats and technologies further.

Empowering Local Economy Through Identification and Development of Agricultural Assets in Barbaran Village

Empowering Local Economy Through Identification and Development of Agricultural Assets in Barbaran Village

An ontology for maintenance activities and its application to data quality

Maintenance of assets is a multi-million dollar cost each year for asset intensive organisations in the defence, manufacturing, resource and infrastructure sectors. These costs are tracked though maintenance work order (MWO) records. MWO records contain structured data for dates, costs, and asset identification and unstructured text describing the work required, for example ‘replace leaking pump’. Our focus in this paper is on data quality for maintenance activity terms in MWO records (e.g. replace, repair, adjust and inspect). We present two contributions in this paper. First, we propose a reference ontology for maintenance activity terms. We use natural language processing to identify seven core maintenance activity terms and their synonyms from 800,000 MWOs. We provide elucidations for these seven terms. Second, we demonstrate use of the reference ontology in an application-level ontology using an industrial use case. The end-to-end NLP-ontology pipeline identifies data quality issues with 55% of the MWO records for a centrifugal pump over 8 years. For the 33% of records where a verb was not provided in the unstructured text, the ontology can infer a relevant activity class. The selection of the maintenance activity terms is informed by the ISO 14224 and ISO 15926-4 standards and conforms to ISO/IEC 21838-2 Basic Formal Ontology (BFO). The reference and application ontologies presented here provide an example for how industrial organisations can augment their maintenance work management processes with ontological workflows to improve data quality.

Project Risk Analysis and Early Warning of Culture and Tourism Group Financial Leasing Company

Under the background of strict regulation, due to the cyclical adjustment of the financial leasing industry, some top companies have maintained a growth trend in asset size and net profit. Internal differentiation has emerged in the financial leasing industry, increasing operational pressure, and a slowing trend in asset size growth. Although the overall pressure on credit quality has eased, downward pressure on asset quality is widespread, and the recovery period for narrowing profit space is still long. With the continuous upgrading and iteration of digitization, intelligence, and specialization, Culture and Tourism Group Financial Leasing Company should strengthen its professional ethics, improve its risk analysis and prediction capabilities, design integrated business guidelines for due diligence information collection and risk analysis, rely on big data to build a leasing asset identification, evaluation, monitoring, and early warning system, and establish a comprehensive, multi angle, and lean risk analysis and early warning mechanism. Through case analysis, problems are identified in a timely manner, and continuous reflection and improvement are made. Business process diagrams are drawn according to different scenarios, crisis warning indicators are set up, and a lean risk management team is formed. Crisis warning signals are continuously tracked and released, and processes and asset quality management are continuously improved. A lean risk control system is established to reduce risk losses and create benefits for the enterprise.

Electrifying the Last-Mile Logistics (LML) in Intensive B2B Operations—An European Perspective on Integrating Innovative Platforms

Background: literature on last mile logistic electrification has primarily focused either on the stakeholder interactions defining urban rules and policies for urban freight or on the technical aspects of the logistic EVs. Methods: the article incorporates energy sourcing, vehicles, logistics operation, and digital cloud environment, aiming at economic and functional viability. Using a combination of engineering and business modeling combined with the unique opportunity of the actual insights from Europe’s largest tender in the automotive aftermarket electrification. Results: the Last Mile Logistics (LML) electrification is possible and profitable without jeopardizing the high-tempo deliveries. Critical asset identification for a viable transition to EVs leads to open new lines of research for future logistic dynamics rendered possible by the digital dimensions of the logistic ecosystem. Conclusions: beyond the unquestionable benefits for the environment, the electrification of the LML constitutes an opportunity to enhance revenue and diversify income.

Secure Agent-Oriented Modelling with Web-based Security Application Development

Nowadays, privacy and security have become challenges in developing web-based applications. For example, e-commerce applications are threatened with security issues like scammers, SQL injection attacks, bots, DDOs, Server Security, and Phishing. Although various security requirement methodologies are introduced, it has been reported that security consideration is consistently ignored or treated as the lowest priority during the application development process. Hence, the application is being violated by various security attacks. This paper introduces an alternative methodology to secure a web-based application through an Agent-Oriented Modelling extension. The secure AOM starts with Context and Asset Identification. The models involved in this phase are the Goal Model and Secure Tropos model. The second phase is the Determination of Security Objective. The model that will be used is Secure Tropos. The third phase is Risk Analysis and Assessment. The model that will be used is Secure Tropos. The fourth phase is Risk Treatment. In this phase, there is no model, but we use the suggestion from Secure Tropos: to eliminate risk, transfer risk, retain risk, and reduce risk. The fifth phase is Security Requirements Definition. The models that will be used are the scenario model, interaction model, and knowledge model. The last phase is Control Selection and Implementation. The model that will be used is the Behavior Model. We conducted a reliability analysis to analyze the participants' understanding of Secure AOM. From the reliability test, we can conclude that Secure AOM can become the alternative methodology, as the percentage that agrees that Secure AOM can protect users against making errors and mistakes is 80.9%, and 71.9% agree that SAOM can help to prevent users from specifying incorrect model elements and the relation between the model. This result means that over 50% of the participants agree that Secure AOM can be an alternative methodology that supports security risk management.

Problems of defining the concept and nature of virtual assets as an object of legal regulation in economic activity in Ukraine

The article reveals the problem of defining the concept and nature of virtual assets through the prism of their legal regulation at the national and international levels. The factors determining the use of virtual assets in economic activity around the world and, accordingly, the relevance of the chosen topic of scientific research are determined: informatization of all areas of social life, technological boom, emergence of new information and communication technologies, which can significantly optimize business processes, globalization processes in the international economy, etc. Attention is focused on the lack of a unified approach to defining the concept and legal nature of a virtual asset and the presence of various approaches to solving this issue in national and foreign science of law: identification of virtual assets with the category of virtual currency; definition of a virtual asset through the concept of "information” or "data”; distinguishing the categories "virtual currency” and "virtual assets” as a part and a whole, etc.
 A conclusion was made about the importance of using the classification of virtual assets according to the criterion of their functional purpose for the formation of the mechanism of their differentiated legal regulation. Attention is also focused on the lack of a single legal approach to determining the essence of virtual assets in the Ukrainian legal system. There were analyzed relevant provisions of the Law of Ukraine "On Virtual Assets”, the draft Concept of State Policy in the Field of Virtual Assets, drafts of the Law "On the Circulation of Cryptocurrencies in Ukraine” No. 7183 dated 06.10.2017, the Law "On Stimulating the Market of Cryptocurrencies and Their Derivatives in Ukraine” No. 7183 dated 10.10.2017 and the Law "On Amendments to the Tax Code of Ukraine (regarding stimulation of the market of cryptocurrencies and their derivatives in Ukraine)” No. 7246 dated 30.10.2017 in the article. Attention is also focused on the need to harmonize the provisions of the Civil Code of Ukraine and the Law of Ukraine "On Virtual Assets” in terms of defining a virtual asset as an object of civil rights. As the conclusions of the conducted scientific research, the author identified the conceptual problems of defining the essence and nature of virtual assets as an object of legal regulation and proposed specific ways to solve some of them, namely: specification of the legal definition of virtual assets in the Law of Ukraine No. 2074-IX; consolidation of the legal definition of the nature of the virtual asset; legislative consolidation of activity in the field of virtual assets and virtual currencies in the Classifier of types of economic activity, etc.

Networked Industrial Control Device Asset Identification Method Based on Improved Decision Tree

Networked Industrial Control Device Asset Identification Method Based on Improved Decision Tree

Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of Turin

Despite the promising outcomes achieved over time in Asset Management, data accessibility, correlation, analysis, and visualization still represent challenges. The integration, readability, and interpretation of heterogeneous information by different stakeholders is a further concern, especially at the urban scale, where spatial data integration is required to correlate virtual information with the real world. The Geographic Information System (GIS) allows these connections, representing and digitizing extensive areas with significant benefits for asset analysis, management, and decision-making processes. Such benefits are central for managing large and widespread university campuses as they are comparable to small cities, covering a wide urban region and including resources highly integrated into the urban context. The paper presents how GIS integrated into Business Intelligence (BI) tools can support university Asset Management System (AMS) creation for the optimal use of resources, illustrating the University of Turin case study. The results discussion considers the relationship between the different elements of the assets and their synergy with the city. It focuses on four themes, dealing with the asset identification of buildings and resources, especially the educational ones, asset spatiotemporal evolution, and buildings’ distances for proximity analysis. The benefits achievable through the AMS, related challenges, and possible future developments are highlighted.

Modular System Recirculating Aquarium Management for Sustainable Ornamental Coral Production

Indonesian waters have potential ornamental coral resources in South Sulawesi waters, especially in Karanrang Island, which still need to be optimally utilized by the fishing community. The main objective of this community service is to increase the understanding and skills of the community in managing coral transplantation in situ and caring for them in an environmentally friendly modular system aquarium based on re-circulation. Adopting the ABCD (Asset-Based Community Development) method, this approach begins with the identification of local assets, including the expertise and skills of the karanrang island community. Subsequently, capacity building is carried out by utilizing these assets, and the community is actively involved in the planning and implementation process. Results included increased community knowledge on technological innovations of modular circulation systems holding aquarium design at the household scale and post-harvesting of coral transplant farming products for holding in aquariums. This process contributed to the development of the local ornamental coral sector, empowered the community, and opened up product marketing opportunities at both local and international levels.

Торговля углеродом: обзор мирового рынка, новые объекты бухгалтерского учета

Introduction. The achievement of sustainable development goals by the world community has led to the emergence of a new economic market – the carbon trading market. Its functioning has become the basis for the emergence of accounting objects (carbon units, generation attributes) that are new for Russian and Belarusian accounting practices. However, the legislations of Russia and Belarus do not clearly identify carbon units and generation attributes as accounting objects. Goal. Research of the ecological and economic essence of carbon units, generation attributes and the state of their circulation markets for the identification of these ecological assets as accounting objects and determination of their place in the traditional asset accounting system. Materials and methods. The dialectical method of scientific knowledge and general scientific research methods were applied, empirical data on the achievement of sustainable development goals by the global community and on the functioning of carbon markets were used. Results and discussion. It is substantiated that carbon units and generation attributes act as new accounting objects, but at the same time have distinctive economic accounting features that do not allow them to be included in the composition of other existing types of assets in general and environmental assets in particular. Conclusion. Based on the assessment of the environmental, economic, accounting properties of carbon units and generation attributes, the emergence of which is associated with the introduction of greenhouse gas emissions trading systems, their place in the traditional asset accounting system is determined and their inclusion in a separate new type of organization assets – environmental depository offset assets – is proposed.