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Keyword: RisksPrototype to Mitigate the Risks, Vulnerabilities and Threats of Information to Ensure Data Integrity
The constant evolution of Information and Communication Technologies, Internet, access to different free software, among others; they generate problems in the management of information security in companies; to mitigate risks, vulnerabilities, and information threats, an alternative was presented considering that information security systems are the basis for decision-making at the government, strategic, tactical, and operational…
Read MoreDevelopment Trends of Smart Cities in the Future – Potential Security Risks and Responsive Solutions
Smart cities are an indispensable development of the ongoing urbanization process world- wide. Currently, smart cities are being built and deployed by countries in the first steps. Based on research on the current state of developing smart cities in the world, the author forecasts the future development trends of such cities, pointing to one of…
Read MoreAnalysis of Vulnerabilities, Risks and Threats in the Process of Quota Allocation for the State University of Ecuador
Different models and standards of information security were analyzed, to adopt a model that mitigates vulnerabilities, risks and threats in the quota allocation process for the State University in Ecuador. The main objective is defining a prototype for the management of processes and information security in this type of organization. It was used the deductive…
Read MoreOptimization of Investment in Decision – Making in Engineering Economy
Investment decision-making plays a pivotal role in shaping both individual and institutional economic outcomes. Given the increasing complexity and uncertainty in global markets, optimizing investment decisions has become essential for maximizing returns while managing risks. This work explores modern optimization approaches in investment decision-making, focusing on mathematical modeling techniques such as linear programming (LP), mixed-integer…
Read MoreImplementation and Simulation of Sequential Adverse Condition Scenarios for Autonomous Driving
Establishing an environment that allows for the quantitative evaluation of the ability of autonomous driving systems to respond to real-world adverse conditions is crucial to ensuring their safety and reliability. This study proposes a dynamic scenario-based simulation framework that simulates complex and sequential hazardous scenarios frequently encountered in actual road environments. The proposed scenarios are…
Read MoreAdvanced Fall Analysis for Elderly Monitoring Using Feature Fusion and CNN-LSTM: A Multi-Camera Approach
As society ages, the imbalance between family caregivers and elderly individuals increases, leading to inadequate support for seniors in many regions. This situation has ignited interest in automatic health monitoring systems, particularly in fall detection, due to the significant health risks that falls pose to older adults. This research presents a vision-based fall detection system…
Read MoreIoT and Business Intelligence Based Model Design for Liquefied Petroleum Gas (LPG) Distribution Monitoring
Gas leakage caused by various causes poses significant risks to public safety. To address this problem, an intelligent model is proposed for the accurate monitoring of Liquefied Petroleum Gas (LPG) distribution based on the integration of Internet of Things (IoT) and Business Intelli- gence (BI) technologies. Through the use of sensors and actuators, it seeks…
Read MoreAnalysis of Components and Effects of Chest Compression Posture using CPR Training System
Cardiopulmonary resuscitation (hereafter CPR) is a life-saving procedure to combat our day-to-day risks of cardiac arrest. However, there are a few citizens who can accurately carry out CPR by encountering the scene of the cardiac arrest of others, and there are many unclear parts on the methods such as the correct attitude of CPR, and…
Read MoreThe Influence Analysis of Internet Finance on China’s Banking Industry Development
This article presented an overview of the evolution of China’s internet financial industry, emphasizing the critical importance of fintech, a novel economic sector improving the efficiency of financial services through innovative technology applications. The systems referred to encompass those technologies, applications, and tools that enhance the efficiency and accessibility of financial services. The historical trajectory…
Read MoreVideo Risk Detection and Localization using Bidirectional LSTM Autoencoder and Faster R-CNN
This work proposes a new unsupervised learning approach to detect and locate the risks “abnormal event” in video scenes using Faster R-CNN and Bidirectional LSTM autoencoder. The approach proposed in this work is carried out in two steps: In the first step, we used a bidirectional LSTM autoencoder to detect the frames containing risks. In…
Read MoreFramework for Decentralizing Municipal Solid Waste Management in Harare, Zimbabwe
Municipal Solid Waste Management (MSWM) decentralisation brings about reductions in the amount of municipal solid waste (MSW) earmarked for landfilling worse still under situations where MSW is being sent to dumpsites. It also reduces the distances MSW collection vehicles travel during MSW collection, maintenance and transport costs due to the establishment of local level decentralised…
Read MoreFood Price Prediction Using Time Series Linear Ridge Regression with The Best Damping Factor
Forecasting food prices play an important role in livestock and agriculture to maximize profits and minimizing risks. An accurate food price prediction model can help the government which leads to optimization of resource allocation. This paper uses ridge regression as an approach for forecasting with many predictors that are related to the target variable. Ridge…
Read MoreArchitecture of Real-Time Patient Health Monitoring Based on 5G Technologies
Worldwide, the epidemiological situation is constantly changing and with the exponential increase in the number of confirmed coronavirus cases, the number of health care workers has decreased significantly and this is due to the direct and daily contact of patients. One of the major challenges of the last few months is to prevent the spread…
Read MoreThe Ecosystem of the Next-Generation Autonomous Vehicles
Autonomous vehicles (AVs) technology is expected to provide many benefits for the society such as providing safe transportation to the community and reducing the number of accidents on the roads. With the emergence of AVs, the conventional safety infrastructure in which humans drive their vehicles will need to be upgraded in order to take full…
Read MoreAuditing the Siting of Petrol Stations in the City of Douala, Cameroon: Do they Fulfil the Necessary Regulatory Requirements?
No other form of technological development had negatively skewed from existing regulations as the siting of petrol filing stations. An audit of the degree to which their operators repeatedly violate the rules regulating their location and operations may encourage the legislature to pass laws that can ensure a balance between the economy and the environment.…
Read MoreAn Enhanced Conceptual Security Model for Autonomous Vehicles
Connected and self-driving cars have emerged over the last decade as a leading example of cyber-physical systems, which seek to considerably enhance traffic safety, reduce emissions, decrease costs, and improve efficiency. Google, TESLA, Uber ATG are becoming pioneers in the autonomous vehicles industry. Autonomous vehicles can have a large codebase and with a large volume…
Read MoreTo the Question of Multi-Criteria Optimization of Aircraft Components in Order to Optimize its Life Cycle
The paper examines the impact on the product life cycle of reducing the duration of the development stages of aviation technology through the use of multi-criteria optimization. The subject of the study is the nose of a supersonic aircraft and the process of linking it. This example describes in detail the application of a comprehensive…
Read MoreIT GRC Smart Adviser: Process Driven Architecture Applying an Integrated Framework
This article is a continuation of the work presented in the Third World Conference on Smart Trends in Systems Security and Sustainability (WorldS4). In this version we focus on matching IT and business processes from different management levels by using IT-Governance (ITG) Risk and Compliance frameworks in a smart way. In fact, every information system…
Read MoreThe Impact Assessment of the Errors in Determining the Mass and Zero Lift-Drag Coefficient on the Aircraft’s Performance Data
The adoption of technical decisions in the development of a new aircraft is carried out under the condition of insufficient information on the mass – dimensional and aerodynamic characteristics that will be achieved during the project. Insufficient information on the input parameters (weight and aerodynamic characteristics) leads to uncertainties in the values of the flying…
Read MoreThe COVID-19 Effect in Mexican SMEs
This article presents a literature review on how the COVID-19 pandemic changed the way of managing risks in the supply chains of Mexican SMEs. Research was carried out in the most important scientific research databases. The spread of the pandemic in 2020 has affected public health and the world´s companies, including micro, small and medium…
Read MoreUnderstanding Risk Assessment in the Context of Fractional Ownership using Ethereum Smart Contract
Ethereum smart contract system has seen a steady adoption as it continues to support tens of thousands of contracts. This feature has evolved to give a practical shape to the ideas leading up to fractional ownership transfer, using advanced smart contracts such as ERC-981. However, alongside its numerous benefits, various risks arise with the actual…
Read MoreCase Study to Determine the Causes of Fire in Agriculture
The aim of this paper is to identify a critical link in the man – machine – environment system in the case of an adverse event, such as a hay baling fire, based on a comprehensive risk assessment method. The rate of spread of fires in agriculture depends on meteorological conditions, with large areas affected…
Read MoreA CNN-based Differential Image Processing Approach for Rainfall Classification
With the aim of preventing hydro-geological risks and overcoming the problems of current rain gauges, this paper proposes a low-complexity and cost-effective video rain gauge. In particular, in this paper the authors propose a new approach to rainfall classification based on image processing and video matching process employing convolutional neural networks (CNN). The system consists…
Read MoreRisk Management: The Case of Intrusion Detection using Data Mining Techniques
Every institution nowadays relies on their online system and framework to do businesses. Such procedures need more attention due to the massive amount of attacks that occurs. These procedures have to go first through the management team of the institution, in order to prevent exploits of the attackers. Thus, the risk management can easily control…
Read MoreAnalysis and Improvement of an Innovative Solution Through Risk Reduction: Application to Home Care for the Elderly
The increase in the number of elderly people requires multiple efforts to maintain their well-being and health. A wide variety of products and services have been created to enable seniors to live at home for as long as possible. The market success of these solutions depends on acceptance by the different stakeholders. Older people are…
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