scholarly journals Winning the War on Terror

2022 ◽  
Vol 17 (1) ◽  
pp. 1-15
Author(s):  
Yaojie Wang ◽  
Xiaolong Cui ◽  
Peiyong He
Keyword(s):  
Risk Assessment ◽  
Early Warning ◽  
Evaluation Model ◽  
Assessment Method ◽  
Risk Level ◽  
Analysis Method ◽  
Counter Terrorism ◽  
Risk Assessment Method ◽  
Important Approach ◽  
Quantitative Analysis Method

From the perspective of counter-terrorism strategies, terrorist risk assessment has become an important approach for counter-terrorism early warning research. Combining with the characteristics of known terrorists, a quantitative analysis method of active risk assessment method with terrorists as the research object is proposed. This assessment method introduces deep learning algorithms into social computing problems on the basis of information coding technology. We design a special "Top-k" algorithm to screen the terrorism related features, and optimize the evaluation model through convolution neural network, so as to determine the risk level of terrorist suspects. This study provides important research ideas for counter-terrorism assessment, and verifies the feasibility and accuracy of the proposed scheme through a number of experiments, which greatly improves the efficiency of counter-terrorism early warning.

scholarly journals Risk factor identification and evaluation on SPB shield underneath existing railroad settlement

2021 ◽  
Author(s):  
Hongde Wang ◽  
Zhaohe Guan ◽  
Shitong He
Keyword(s):  
Risk Assessment ◽  
Evaluation Model ◽  
Development Trend ◽  
Assessment Method ◽  
Shield Tunnel ◽  
Risk Level ◽  
Shield Tunneling ◽  
Connection Number ◽  
Site Survey ◽  
Risk Assessment Method

Abstract Regarding the situation of slurry pressure shield tunneling underneath existing operating railway, traditional risk assessment method that takes the settlement risk of shield tunneling underneath the railroad as the evaluation objective cannot determine the risk development trend. Therefore, a shield tunneling underneath railroad risk evaluation model based on set pair analysis was proposed. First, according to the SPB shield construction mechanism, the risk source identification of the shield construction process was carried out, and the index factor system that leads to the settlement risk was formed. The importance of each evaluation index in the model was optimized by rough set, and then a five-element connection number model with objectively improved weights was obtained. Finally assessed the risk level of railroad settlement caused by the shield tunneling. This model is suitable for the actual construction of a subway shield tunnel, which is consistent with the results of the site survey, and has reference significance for the risk assessment of similar underpass projects.

A New Fine-Kinney Method Based on Clustering Approach

2020 ◽  
Vol 28 (03) ◽  
pp. 497-512
Author(s):  
Cansu Dagsuyu ◽  
Murat Oturakci ◽  
Esra Sarac Essiz
Keyword(s):  
Risk Assessment ◽  
Conventional Method ◽  
Clustering Algorithms ◽  
Assessment Method ◽  
Distance Functions ◽  
Risk Level ◽  
New Approach ◽  
Clustering Techniques ◽  
Risk Assessment Method ◽  
Clustering Approach

In this study, a new approach to Fine-Kinney risk assessment method is developed in order to overcome the limitations of the conventional method with clustering algorithms. New risk level of classes are attempted to determine with K-Means and Hierarchical clustering algorithms with using two different distance functions which are Euclidean and Manhattan distances. According to the results, K-Means algorithms have provided accurate and sensitive cluster of classes. Classes from conventional and K-Means algorithms are applied and compared to the identified risks of a workshop of a medium sized textile company. Results of the study indicate that clustering techniques are new, original and applicable way to define new classes in order to prioritize risks by overcoming the drawbacks of conventional Fine-Kinney method.

scholarly journals A Dynamic Risk Assessment Method for Deep-Buried Tunnels Based on a Bayesian Network

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Yan Wang ◽  
Jie Su ◽  
Sulei Zhang ◽  
Siyao Guo ◽  
Peng Zhang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Bayesian Network ◽  
Influencing Factors ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Dynamic Risk ◽  
Risk Rating ◽  
Risk Assessment Method ◽  
Dynamic Risk Assessment

In view of the shortcomings in the risk assessment of deep-buried tunnels, a dynamic risk assessment method based on a Bayesian network is proposed. According to case statistics, a total of 12 specific risk rating factors are obtained and divided into three types: objective factors, subjective factors, and monitoring factors. The grading criteria of the risk rating factors are determined, and a dynamic risk rating system is established. A Bayesian network based on this system is constructed by expert knowledge and historical data. The nodes in the Bayesian network are in one-to-one correspondence with the three types of influencing factors, and the probability distribution is determined. Posterior probabilistic and sensitivity analyses are carried out, and the results show that the main influencing factors obtained by the two methods are basically the same. The constructed dynamic risk assessment model is most affected by the objective factor rating and monitoring factor rating, followed by the subjective factor rating. The dynamic risk rating is mainly affected by the surrounding rock level among the objective factors, construction management among the subjective factors, and arch crown convergence and side wall displacement among the monitoring factors. The dynamic risk assessment method based on the Bayesian network is applied to the No. 3 inclined shaft of the Humaling tunnel. According to the adjustment of the monitoring data and geological conditions, the dynamic risk rating probability of level I greatly decreased from 81.7% to 33.8%, the probability of level II significantly increased from 12.3% to 34.0%, and the probability of level III increased from 5.95% to 32.2%, which indicates that the risk level has risen sharply. The results show that this method can effectively predict the risk level during tunnel construction.

scholarly journals Study on Risk Assessment and Early Warning of Flood-Affected Areas when a Dam Break Occurs in a Mountain River

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1369 ◽  
Author(s):  
Qiang Fan ◽  
Zhong Tian ◽  
Wei Wang
Keyword(s):  
Risk Assessment ◽  
Early Warning ◽  
Assessment Method ◽  
Research Literature ◽  
Dam Break ◽  
Hydropower Station ◽  
Risk Level ◽  
Mountain River ◽  
Flood Level ◽  
Study Results

Under the influence of extreme weather conditions or other unfavorable factors, if a dam break occurs in a mountain river, it will cause a great number of casualties and property losses in the affected downstream areas. Usually, early warning of the affected areas downstream of the dam depends mainly on qualitative evaluation and cannot be quantitatively evaluated. Based on the authors’ calculation of floods for many years, this study presents a quantitative assessment method for flood risk. The Ertan Hydropower Station in Southwest China and the flood-affected areas were chosen as the object of this study. Based on field surveys, research literature data, and the authors’ calculations, the basic data of the Ertan Hydropower Station and the calculation results of the dam break were obtained, and 35 representative flood-affected areas were selected to study risk assessment and early warning. The fuzzy analytic hierarchy process (FAHP) was used to build a mathematical model for quantitative analysis. The population, flood arrival time, flood level, evacuation time, and local GDP (Gross Domestic Product) were selected as five typical evaluation factors. Finally, this study calculated and counted the risk level of 35 representative flood-affected areas, and the study results were applied to Quxue and Guanmaozhou Hydropower Station.

ANALISIS PENERAPAN KESELAMATAN KERJA DALAM UPAYA PENGENDALIAN KECELAKAAN KERJA DI PT. BUDI DWIYASA PERKASA

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Farah Alhamid ◽  
Keyword(s):  
Risk Assessment ◽  
Hazard Analysis ◽  
Assessment Method ◽  
Hazard Identification ◽  
Risk Level ◽  
Protective Equipment ◽  
Risk Assessment Method ◽  
Accident Data ◽  
Plantation Company ◽  
Work Done

Abstract In conducting activities, many found workers who did not use personal protective equipment, do not pay attention to safety in work and work done like without procedure. PT. Budi Dwiyasa Perkasais a plantation company palm oil. Based on accident data obtained work, there are 14 case of accident in April until June 2016 in PT. Budi Dwiyasa Perkasa. A major factor cause of the accident is unsafe actions and unsafe conditions. Hazard analysis needs to be done in order to prevent the accident of work. Hazard identification done with using the risk assessment method. This analysis of the technique used to determine the level of the risk of a job is a combination of between the possibility of the harms caused by the severity of the caused. The result of hazard identification with this method is used in a kind of work to have a high risk level and need to address special in order to prevent the accident.

scholarly journals Risk Assessment of Groundwater Pollution in a Mining Area Based on Physical Processes

2019 ◽  
Vol 98 ◽  
pp. 09025 ◽  
Author(s):  
Zhiwei Qi ◽  
Changlai Xiao ◽  
Bo Zhang ◽  
Xiujuan Liang ◽  
Ge Wang
Keyword(s):  
Risk Assessment ◽  
Spatial Distribution ◽  
Groundwater Pollution ◽  
Single Point ◽  
Assessment Method ◽  
Aquifer Vulnerability ◽  
Risk Level ◽  
Physical Processes ◽  
Risk Assessment Method ◽  
The Impact

At present, the study of groundwater pollution risk assessment is generally based on the study of groundwater vulnerability. The impact of the pollutants themselves has not been paid more attention. The assessment of the risk of groundwater pollution should include two aspects: one is the contaminated nature of the aquifer itself and the other is spatial distribution of the pollutant. The vulnerability of the aquifer is only the natural susceptibility of the aquifer to the contaminant. Therefore, the risk assessment of groundwater pollution should also reflect the distribution and transport of pollutants in an aquifer. This study takes a tailings area as an example, and puts forward the risk assessment method of groundwater pollution based on physical processes. Before aquifer contamination occurs, the experts determine spatial distribution of each risk level according to the surrounding economic and social sensitivity conditions and hydrogeological conditions; and then use the numerical model to invert the intensity of the pollution source corresponding to each risk level. The results show that this method can express the distribution in space and time of risk level. For a single point source of contamination, this method is better than the previous based on aquifer vulnerability risk assessment method.

A novel method of risk assessment based on improved AHP-Cloud model for freezing pipe fracture

2021 ◽  
pp. 1-14
Author(s):  
Fuwei Liu ◽  
Yansen Wang
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Cloud Model ◽  
Evaluation Model ◽  
Assessment Method ◽  
Evaluation Index System ◽  
Risk Level ◽  
Depth Analysis ◽  
New Research

The freezing pipe fracture can cause freezing wall to thaw and even lead to major accidents such as mine flooding easily, which seriously threatens the safety in construction. Therefore, scientific and effective comprehensive risk assessment for freezing pipe fracture is of great significance. In this work, a risk assessment method is put forward based on improved AHP-Cloud model with 19 evaluation indicators. First, the multi-dimension evaluation index system and evaluation model are established, on the basis of in-depth analysis of the risk factors that may lead to accidents. Second, synthesizing the normalization process and the improved analytic hierarchy process (AHP), the evaluation grade cloud and comprehensive evaluation cloud of freezing pipe fracture can be acquired by using the forward cloud generator. Finally, According to the max-subjection principle and the comprehensive evaluation method, we obtain the risk level of freezing pipe fracture. The model is applied to Yangcun Coal Mine. It has been verified that the risk assessment problem of freezing pipe fracture in freezing sinking can be successfully solved by the model we proposed. Above all, the study offers a new research idea for the risk management of freezing pipe fracture in freeze sinking.

Human-Factor-Based Risk Management in the Healthcare to Improve Patient Safety

2020 ◽  
pp. 453-468
Author(s):  
Barbara Streimelweger ◽  
Katarzyna Wac ◽  
Wolfgang Seiringer
Keyword(s):  
Risk Assessment ◽  
Patient Safety ◽  
Human Factors ◽  
Human Factor ◽  
Improve Patient Safety ◽  
Assessment Method ◽  
Risk Level ◽  
Effect Analysis ◽  
Risk Assessment Method ◽  
Improve Patient

‘Patient Safety' tries to increase safety and transparency within healthcare systems for both patients and professionals. Within the healthcare sector, workflows become more and more complex, while time and money become scarce. As a consequence, the risk awareness, fault management and quality aspects become more important. One of the most well established risk assessment method is Failure Mode and Effect Analysis (FMEA) – a reliability analysis and risk assessment tool widely used in various industries. The traditional FMEA is using a Risk Priority Number (RPN) ranking system to evaluate and identify the risk level of failures, and to prioritize actions. However, there are several shortcomings in obtaining a quality estimate of the failure ratings with FMEA, especially when human factors play an important role. Thus, a new risk assessment method called HFdFMEA (Human Factor dependent FMEA) based on the dependency of used parameters and the observation of human factors, is proposed to address the drawbacks. The opportunity to improve patient safety is discussed as result of HFdFMEA.

scholarly journals RAPID-Risk Assessment of Android Permission and Application Programming Interface (API) Call for Android Botnet

2018 ◽  
Vol 7 (4.15) ◽  
pp. 49 ◽  
Author(s):  
Zubaile Abdullah ◽  
Madihah Mohd Saudi
Keyword(s):  
Risk Assessment ◽  
Application Programming Interface ◽  
Assessment Method ◽  
Risk Level ◽  
Android Apps ◽  
Risk Assessment Method ◽  
Application Programming ◽  
Android Applications ◽  
Android Permission ◽  
Google Play

Android applications may pose risks to smartphone users. Most of the current security countermeasures for detecting dangerous apps show some weaknesses. In this paper, a risk assessment method is proposed to evaluate the risk level of Android apps in terms of confidentiality (privacy), integrity (financial) and availability (system). The proposed research performs mathematical analysis of an app and returns a single easy to understand evaluation of the app’s risk level (i.e., Very Low, Low, Moderate, High, and Very High). These schemes have been tested on 2488 samples coming from Google Play and Android botnet dataset. The results show a good accuracy in both identifying the botnet apps and in terms of risk level. 

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