Asset Management Applications Research Articles

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.

Navigating Software Compliance and Optimization: A Comparative Analysis of Software Asset Management in ServiceNow and BMC Helix

Abstract: This research paper presents a comprehensive comparison of the Software Asset Management (SAM) applications offered by ServiceNow and BMC Helix. The study examines key features, software discovery and inventory capabilities, license management, compliance tracking, optimization strategies, and integration with other ITSM processes. By evaluating their strengths and weaknesses in managing software assets, this paper aims to provide insights for organizations seeking to optimize their software investments, ensure compliance, and reduce overall IT costs.

Optimizing IT Asset Lifecycle: A Comparative Analysis of Hardware Asset Management in ServiceNow and BMC Helix

Abstract: This research paper presents a comprehensive comparison of the Hardware Asset Management applications offered by ServiceNow and BMC Helix. The study examines key features, asset discovery and tracking capabilities, lifecycle management, integration with other ITSM processes, and reporting tools of both solutions. By evaluating their strengths and weaknesses in managing hardware assets, this paper aims to provide insights for organizations seeking to optimize their IT asset management practices and improve overall operational efficiency.

Development of Geospatial Asset Management System for Higher Education

Abstract: The integration of Geographic Information System (GIS) for asset management was addressed in this study. Geographic Information System (GIS) as a decision support system was integrated within the process of asset management to strengthen the monitoring of tangible assets within the organization. The main objective of this study is to design and develop a Location-Based Asset Management Application System. A waterfall model was utilized to create the system. GeoJSON was used to represent geographical features or attributes of the data gathered. A standardized adapted evaluation form was used to determine the Functionality, Performance, Robustness, and Workmanship of the developed application and interpreted using descriptive analysis. The analysis shows that the developed system is excellent in terms of Functionality, Performance, Robustness, and Workmanship. Based on the study's findings, the developed spatial asset management system is an effective way of monitoring and delivering asset management information and resources to its various constituents. It is highly recommended that a designed system should be utilized and use the developed systems to proactively respond and adapt to the modern world in delivering and managing resources.

How AI Changes the Game in Finance Business Models

Purpose: This paper aims to examine the impact of AI on finance, including banking, risk management, and business models, while introducing AI-based tools. By exploring these applications, one can gain insights into the benefits of artificial intelligence in enhancing efficiency, productivity, and fostering innovation within financial sectors. Methodology: The research methodology employed in this study is a literature review. Various sources have been explored, studied, and analyzed within the financial domain to highlight the utilization of artificial intelligence. This includes risk management, identity verification, asset management, and data science applications. Furthermore, specific cases have been examined as part of case studies. Findings: The findings indicate that AI is transforming the finance industry by reshaping traditional business models and creating new growth opportunities. The integration of AI in finance has empowered companies to enhance decision-making processes, improve customer experiences, boost operational efficiency, and lower costs. AI-driven tools like predictive analytics, machine learning, and natural language processing are revolutionizing financial institutions' operations and customer interactions. As AI advances, it will play a crucial role in shaping the future of financial business models, driving competitiveness, and unlocking new industry potentials. Embracing AI technology is imperative for companies seeking to stay competitive and thrive in the dynamic financial landscape. Originality/Value: This research introduces various applications of artificial intelligence across different financial sectors alongside practical tools that can enhance the significance of this paper.

Improving the Predictive Analytics of Machine-Learning Pipelines for Bridge Infrastructure Asset Management Applications: An Upstream Data Workflow to Address Data Quality Issues in the National Bridge Inventory Database

Improving the Predictive Analytics of Machine-Learning Pipelines for Bridge Infrastructure Asset Management Applications: An Upstream Data Workflow to Address Data Quality Issues in the National Bridge Inventory Database

Analisis Penerapan Konsep Asset And Libality Management dengan Sistem Perbankan Syariah di Indonesia


 In banking operations, Asset Liability Management (ALMA) is the main focus in managing commercial banks. As a tool for analyzing and managing banking operations, it is something that is paid attention to by banking practitioners and academics. This research uses a type of library research. Bibliography research is research carried out using a bibliography in the form of books, memos and information from previous research. On the other hand, the method used is storytelling and analysis. This research results that the application of Asset and Liability Management in Islamic Banking is implemented in a special unit called ALCO (Asset and Liability Management Committee). This committee is responsible for planning, organizing and supervising Islamic bank investments.
 Keywords: Asset Liability Management, Sharia Banking, Systems and Concept

Analisis Penerapan Konsep Asset and Libality Management dengan Sistem Perbankan Syariah di Indonesia

In banking operations, Asset Liability Management (ALMA) is the main focus in managing commercial banks. As a tool for analyzing and managing banking operations, it is something that is paid attention to by banking practitioners and academics. This research uses a type of library research. Bibliography research is research carried out using a bibliography in the form of books, memos and information from previous research. On the other hand, the method used is storytelling and analysis. This research results that the application of Asset and Liability Management in Islamic Banking is implemented in a special unit called ALCO (Asset and Liability Management Committee). This committee is responsible for planning, organizing and supervising Islamic bank investments

Federated Data Modeling for Built Environment Digital Twins

The digital twin (DT) approach is an enabler for data-driven decision making in architecture, engineering, construction, and operations. Various open data models that can potentially support the DT developments, at different scales and application domains, can be found in the literature. However, many implementations are based on organization-specific information management processes and proprietary data models, hindering interoperability. This article presents the process and information management approaches developed to generate a federated open data model supporting DT applications. The business process modeling notation and transaction and interaction modeling techniques are applied to formalize the federated DT data modeling framework, organized in three main phases: requirements definition, federation, validation and improvement. The proposed framework is developed adopting the cross-disciplinary and multiscale principles. A validation on the development of the federated building-level DT data model for the West Cambridge Campus DT research facility is conducted. The federated data model is used to enable DT-based asset management applications at the building and built environment levels.

Pengaruh Struktur Modal Dan Pengelolaan Aset Terhadap Kemampulabaan Dan Dampaknya Terhadap Nilai Perusahaan Agribisnis Yang Terdaftar Di BEI

Agribusiness business has promising prospects, because consumer demand for agribusiness products will never stop, even though it fluctuates. Capital is one of the factors needed by a company, so efforts are needed to attract investors and manage assets as well as possible to increase profits. Investment decisions are determined by investors by considering the profitability and size of the company's assets as collateral for debt. Several previous studies were conducted by Salim and Yadav (2011); Mayangsari (2014); Sunarto and Budi (2009); Azhar and Norizza (2012); Samarakoon et al (2014); Niresh and Velnampy (2014); John and Muthusamy, Gabriel (2013); Tseng and Cheng (2011); Bei (2012) with stock exchange objects in several different countries. Different objects motivated the authors to conduct research on agribusiness companies listed on the IDX with the aim of analyzing the effects of capital structure and asset management on company profitability, analyzing the impact of capital structure and asset management on firm value, analyzing the effect of company profitability and analyzing the effects from capital structure and asset management to corporate value through profitability. This research is a descriptive causality study on agribusiness companies listed on the Indonesian Stock Exchange (IDX). Company data were analyzed by SEM and it was concluded that (1) Capital Structure and Asset Management did not significantly influence Profitability (2) Capital Structure and Asset Management had a significant effect on Firm Value (3) Profitability did not significantly influence Firm Value and (4) ) Capital Structure and Asset Management have no significant effect on Company Value through Profitability. Opportunities that exist in the company for investment in the future need to be considered by comparison relative to projections of internal funding sources for policy making regarding the application of capital structure and asset management to company value with profitability as a moderator, to maximize capital structure and asset management as a The main purpose.

Perancangan Desain Sistem Basis Data Pengelolaan Aset

Galuh University is a private university that has 7 faculties, 1 Postgraduate Program, Institute for Research and Community Service (LPPM), Internal Quality Assurance Agency (BPMI), Libraries and Cooperation Offices. Of the many places in Galuh University, it becomes a problem that must be faced in asset management. The management of these assets still relies on the role of humans who cannot collect a lot of asset data. If the person forgets it will be a problem especially regarding the type of asset that makes the payment and if it is late, it will be subject to sanctions or fines. This research is to make it easier to calculate the number of assets and record the maintenance of these assets. This asset management application will be web-based using the PHP programming language and MySQL as the database. The results of this study are in the form of a database design which will later be implemented on a website that can be accessed by asset managers who will record asset maintenance and also as a reminder of asset maintenance at Galuh University

Assessing the level of application of physical asset management core practices at water boards in Malawi

This study assesses the level of application of Physical Asset Management (PAM) core practices in Water Boards (WBs) in Malawi. A questionnaire was applied to 141 water supply experts drawn from all WBs in Malawi, and data was analyzed using SPSS V 20.0. The results show that WBs dismally apply PAM core practices in the study area. This study will assist in the development of an asset management framework for WBs in Malawi as ongoing research work. The study raises awareness and provides insights to top management across the globe on areas they need to prioritize to develop or maintain a high level of excellence in PAM. There is a need to identify more PAM practices in the study area which could have a bearing on the discipline. Also, a study is proposed which could link these PAM practices and how they affect the performance of asset-intensive organizations.

Digital Twin based built environment asset management services development

The Digital Twin (DT) concept emerged recently in the Architecture, Engineering, Constructions and Operations domain and the interest for digital built asset management service implementations is increasing. However, most of the applications are developed according to custom approaches, preventing the generalisation and modularisation. This article presents a methodological framework for DT-based applications development. DT-based applications support effective data-centric processes in the management of critical assets. The proposed approach is based on a flexible and federated data model, enabling dynamic data management. The federated data model provides an interface and connection among different knowledge domains. The service requirement definition provides the input specification for the application development, accomplished through the modelling of three fundamental components: data, processes, and algorithms. These components are assembled through Application Programming Interfaces (APIs), supporting the DT-based services. The proposed approach is applied to the West Cambridge DT research facility and tested in the building energy sub-metering strategy. The developed approach allows flexible and interoperable data-centric applications development, contributing to the generalisation and scalability of DT-based built asset management applications. This aims at providing a consistent approach that can be employed in different domains, where the DT technologies play a central role in service innovation.

An Automated Sound Barrier Inventory Method Using Mobile LiDAR

A sound barrier, also called a noise barrier, plays an irreplaceable role in traffic noise abatement. The Federal Highway Administration’s (FHWA) highway noise regulation requires each state highway agency to maintain a complete inventory of all constructed noise-abatement features. Although key information for most of the newly constructed sound barriers has been inventoried, public transportation agencies are still struggling to keep close track of the in-service barriers because their inventory information is nonexisting, and manual inventory remains time-consuming, labor-intensive, and often dangerous. Therefore, many agencies have shown more interest in exploring the possibility of using light detection and ranging (LiDAR) data for assisting in sound barrier inventory, thanks to the widely available data set and much-improved data quality. This study proposes a LiDAR-based sound barrier inventory method to automatically extract the sound barrier’s location and measure the corresponding geometry. The extraction of a sound barrier is achieved using its unique features after random sample consensus (RANSAC)-based ground extraction and region-growing segmentation. The geometry measurement of the sound barrier is performed by analyzing the detailed dimension of the extracted point cloud, including location, height, length, and lateral offset. The experimental test conducted near Carver, Massachusetts showed the results with a precision rate of 99.9% and a recall rate of 93.8%. Moreover, the outcome of the experimental test has demonstrated the robustness of the proposed method in different complexities of the background and sound barrier types (linear and zigzag). This study has demonstrated the feasibility of using LiDAR for effectively inventorying in-service barriers. Besides the critical application of asset management, the detailed location and geometry information provided by the proposed method can provide valuable insight for other critical applications, such as traffic noise modeling.

Aplikasi Sistem Manajemen Aset Laboratorium Komputer Pada SMKN2 Kab.Tangerang Menggunakan Framework Laravel8

A computer laboratory with appropriate instruments is a crucial entity at the SMA and SMK levels because the laboratory is a facility and infrastructure that can provide tools thatare difficult to present in the classroom. So is the case with SMKN 2 Tangerang Regency. But in fact, the conventional computer laboratory asset management and the absence of a system to record room loan histories pose an obstacle for schools to obtain fast and detailed data. This research is intended to produce a web-based asset management application system model that can overcome the problems encountered. This study uses observation, interviews, and literature studies to collect relevant data for further analysis using the PIECES method for the system design and development process. The system is designed with UML and Laravel framework. Extreme Programming is used as an approach to develop the system. The conclusion of this study resulted in a web-based asset management application system that can quickly and detailedly present asset data and computer laboratory room loan history and the use of Laravel provides convenience in building and developing future applications for developers.

Graded evaluation and application of physical asset management in provincial grid companies

The evaluation of asset management by provincial power companies of the local municipal power supply companies under their jurisdiction is an important part of the evaluation of the physical assets of the grid. By studying the physical asset management of local municipalities, it is possible to provide more micro-level suggestions for improving the level of physical asset management. The traditional analysis of local municipalities' physical assets evaluation does not consider the indirect impact of local municipalities' macroeconomic and social development factors on grid operation, nor does it consider the progress or regression of local municipalities' management levels over a period of time, making the traditional analysis of local municipalities' physical assets evaluation less objective and accurate. Based on this, this paper selects suitable evaluation indicators from three aspects: the scale of the number of equipment and the value of physical assets, the level of physical asset management performance, and the macroeconomic and social development of local municipalities, and combines hierarchical analysis and expert scoring methods to build a comprehensive index system for the grading evaluation of physical asset management. The system analyses the degree of influence of macroeconomic and social development factors on the operation of the grid, and the progress or regression of the management level of each municipality over a period of time. Finally, based on the results of the analysis, countermeasures are proposed to improve the management of the physical assets of the grid.

ASSET MANAGEMENT SYSTEM DESIGN OF VILLAGE BASED ON GEOGRAPHIC INFORMATION SYSTEM

Management of an asset by the government is a process that starts from planning to asset inventorying that have been pre-existing or obtained from legitimate assistance so that they can managed appropriately and beneficially for the community. For the government, especially in village regions, management of assets is very important, so that both government apparatus and village community get complete, accurate and real-time information about the assets owned by the village government so that the information can be used for activities of village government and communities optimally. The goal of this research is to design and build an asset management system based on geographic information system (GIS) for government in the village. The GIS-based asset management design system uses a waterfall-model approach with five stages, namely: 1) Analysis, 2) Design, 3) Implementation, 4) Integration Testing, and 5) Maintenance. This asset management application is built with web-based technology using the Leaflet framework that supports Web Map Service (WMS) layers, GeoJSON data, vectors and tile layers, while the database in this application uses MySQL. The results of this GIS-based asset management system design research can be used to store, collect, repair, process, control and monitoring assets so that asset management for activities that benefit the community can be optimally improved. For the maintenance and utilization of asset management applications, training is carried out for operators and supervisors, as well as system support personnel.

Smart Airport: Mobile Asset Information Modeling Management based on Gamificative VR Environment --- A Case Study of Ningbo Lishe International Airport Staff Restaurant

With the popularization of Virtual Reality (VR) technology, the application of the complementary advantages of BIM+VR collaboration in facility management (FM) and asset management (AM) is an emerging research field. This theory holds that BIM information generated and acquired in the life cycle of the facility can improve the management of the facility and asset based on the visual expression of VR technology. With this proposition as a starting point, based on the Ningbo Lishe International Airport’s staff restaurant project, the purpose of this paper is to investigate the value of BIM and VR and the challenges they pose in influencing their adoption in AM applications. By establishing a BIM model and a quantitative asset information model, and using the 720 cloud VR platform and related smart devices to complete the visual expression of asset information. The results demonstrated that that the value of BIM+VR in AM comes from the improvement of the existing manual information transfer process, which reduces the data delay to a large extent. Secondly, the accuracy and accessibility of AM data are improved, and the efficiency of the management is improved. The originality of this paper is to prove the great potential of BIM and VR in AM optimization and improvement through real case study, and to provide empirical evidence for the value and challenges of BIM+VR in AM application.

PERBANDINGAN RISIKO LIKUIDITAS DAN TINGKAT PROFITABILITAS PENERAPAN ASSET LIABILITY MANAGEMENT PADA BANK YANG TERDAFTAR DI BURSA EFEK INDONESIA

The emergence of Covid 19 in the Industrial Era 4.0 where countries in the world are competing to innovate in various fields, both health, education, and the economy to be able to follow the era towards the era of Society 5.0. The purpose of this study was to analyze differences in liquidity risk and profitability level in the application of asset management between state banks and national private banks. The analytical method used is descriptive comparative analysis by providing an overview of the liquidity ratios and profitability levels in the application of asset management at State Banks and National Private Banks listed on the Indonesia Stock Exchange using the formula Cash Ratio and Return on Assets. The results of the study indicate that (1) there is no difference in liquidity risk in the application of asset liability management between state banks and national private banks. The liquidity of the two banks is equally well above the standard set by Bank Indonesia, but there is no insignificant difference in terms of the amount of liquidity. (2) there is no difference in the level of profitability in the application of asset liability management between state banks and national private banks. The profitability of the two banks is above the standard set by Bank Indonesia, but in terms of profitability, there is a slight difference which is not significant.

Analysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i)

The study of the degradation of power transformers in the electrical network has become a subject of relevant analysis by network operators and companies, associated with the probability of failures and operation quality. For this reason this paper firstly presents the classification of a set of 12 Asset Management models related to power transformers monitoring and, then, the application of three of them in three substations of the National Laboratory of Smart Grids (LAB+i) located at Bogot´a Campus of the Universidad Nacional de Colombia. As a result, the main challenges were identified concerning the Asset Management application in transformer fleets related to data availability and precision. Finally, it was identified that the development of an Asset Management model that uses non-invasive real-time measurements is needed for continuous monitoring of power systems and diagnosis.