scholarly journals Spatial Distribution Assessment of Terrorist Attack Types Based on I-MLKNN Model

2021 ◽  
Vol 10 (8) ◽  
pp. 547
Author(s):  
Ruifang Zhao ◽  
Xiaolan Xie ◽  
Xun Zhang ◽  
Min Jin ◽  
Mengmeng Hao
Keyword(s):  
Spatial Distribution ◽  
High Risk ◽  
Southeast Asia ◽  
Terrorist Attack ◽  
The Philippines ◽  
International Community ◽  
Assessment Model ◽  
Terrorist Attacks ◽  
K Nearest Neighbor ◽  
Different Types

Terrorist attacks are harmful to lives and property and seriously affect the stability of the international community and economic development. Exploring the regularity of terrorist attacks and building a model for assessing the risk of terrorist attacks (a kind of public safety risk, and it means the possibility of a terrorist attack) are of great significance to the security and stability of the international community and to global anti-terrorism. We propose a fusion of Inverse Distance Weighting (IDW) and a Multi-label k-Nearest Neighbor (I-MLKNN)-based assessment model for terrorist attacks, which is in a grid-scale and considers 17 factors of socio-economic and natural environments, and applied the I-MLKNN assessment model to assess the risk of terrorist attacks in Southeast Asia. The results show the I-MLKNN multi-label classification algorithm is proven to be an ideal tool for the assessment of the spatial distribution of terrorist attacks, and it can assess the risk of different types of terrorist attacks, thus revealing the law of distribution of different types of terrorist attacks. The terrorist attack risk assessment results indicate that Armed Attacks, Bombing/Explosions and Facility/Infrastructure Attacks in Southeast Asia are high-risk terrorist attack events, and the southernmost part of Thailand and the Philippines are high-risk terrorist attack areas for terrorism. We do not only provide a reference for incorporating spatial features in multi-label classification algorithms, but also provide a theoretical basis for decision-makers involved in terrorist attacks, which is meaningful to the implementation of the international counter-terrorism strategy.

scholarly journals On the Risk Assessment of Terrorist Attacks Coupled with Multi-Source Factors

2018 ◽  
Vol 7 (9) ◽  
pp. 354 ◽  
Author(s):  
Xun Zhang ◽  
Min Jin ◽  
Jingying Fu ◽  
Mengmeng Hao ◽  
Chongchong Yu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Southeast Asia ◽  
The Philippines ◽  
Assessment Model ◽  
Terrorist Attacks ◽  
Recommendation Algorithm ◽  
Spatial Risk ◽  
Risk Areas ◽  
F Measure

Terrorism has wreaked havoc on today’s society and people. The discovery of the regularity of terrorist attacks is of great significance to the global counterterrorism strategy. In this study, we improve the traditional location recommendation algorithm coupled with multi-source factors and spatial characteristics. We used the data of terrorist attacks in Southeast Asia from 1970 to 2016, and comprehensively considered 17 influencing factors, including socioeconomic and natural resource factors. The improved recommendation algorithm is used to build a spatial risk assessment model of terrorist attacks, and the effectiveness is tested. The model trained in this study is tested with precision, recall, and F-Measure. The results show that, when the threshold is 0.4, the precision is as high as 88%, and the F-Measure is the highest. We assess the spatial risk of the terrorist attacks in Southeast Asia through experiments. It can be seen that the southernmost part of the Indochina peninsula and the Philippines are high-risk areas and that the medium-risk and high-risk areas are mainly distributed in the coastal areas. Therefore, future anti-terrorism measures should pay more attention to these areas.

scholarly journals Sentiment Analysis of Southeast Asian Games (SEA Games) in Philippines 2019 Based on Opinion of Internet User of Social Media Twitter with K-Nearest Neighbor and Support Vector Machine

2020 ◽  
Vol 17 (1) ◽  
pp. 26-41
Author(s):  
Muhammad Riefky ◽  
Wara Pramesti
Keyword(s):  
Social Media ◽  
Support Vector Machine ◽  
Southeast Asia ◽  
Nearest Neighbor ◽  
The Philippines ◽  
Southeast Asian ◽  
Support Vector ◽  
Sporting Events ◽  
K Nearest Neighbor ◽  
Support Vector Machine Classification

Sports events are an activity that is in great demand, especially the people of Southeast Asia. One of the most prestigious sporting events in the Southeast Asian region is the Southeast Asian Games (SEA Games). SEA Games is one of the sporting events held in the Southeast Asia region and is only held every two years involving eleven member countries of the Association of South East Asian Nations (ASEAN). The most SEA Games issues occurred on Twitter with 20,600 tweets. This is because the 2019 SEA Games event in the Philippines experienced many irregularities, one of which is the Rizal Memorium stadium, which has not been renovated until now. The purpose of this study is to obtain and compare the results of the accuracy of the classification of Twitter users' sentiments towards the 2019 SEA Games in the Philippines using k-nearest neighbor and support vector machine. The data used in this study comes from data from Twitter social media users who often use the hashtag "SEA Games 2019" which has been done with text preprocessing of 2697 tweets with data partitions of 60% for training data and 40% for testing data. The conclusion that can be drawn from this research is that the best accuracy results in the k-nearest neighbor and support vector machine classification are the support vector machine classification with a polynomial kernel of 92.96% so that the predictions of the Support Vector Machine classification tend to be negative. 

scholarly journals Quantitative Analysis of Global Terrorist Attacks Based on the Global Terrorism Database

2021 ◽  
Vol 13 (14) ◽  
pp. 7598
Author(s):  
Zhongbei Li ◽  
Xiangchun Li ◽  
Chen Dong ◽  
Fanfan Guo ◽  
Fan Zhang ◽  
...  
Keyword(s):  
Southeast Asia ◽  
Terrorist Attack ◽  
Risk Index ◽  
Three Dimensions ◽  
Terrorist Attacks ◽  
Analytic Hierarchy ◽  
The Past ◽  
Global Terrorism ◽  
The Government ◽  
Global Terrorism Database

Terrorist attacks have become a serious source of risk affecting the security of the international community. Using the Global Terrorism Database (GTD), in order to quantitatively study past terrorist attacks and their temporal and spatial evolution the analytic hierarchy process (AHP) was used to classify the degree of damage from terrorist attacks. The various factors influencing terrorist attacks were extracted and represented in three dimensions. Subsequently, using MATLAB for analysis and processing, the grading standards for terrorist attacks were classified into five levels according to the degree of hazard. Based on this grading standard, the top ten terrorist attacks with the highest degree of hazard in the past two decades were listed. Because the characteristics and habits of a terrorist or group exhibit a certain consistency, the K-means cluster analysis method was used to classify terrorists according to region, type of attack, type of target and type of weapon used by the terrorists. Several attacks that might have been committed by the same terrorist organization or individual at different times and in different locations were classified into one category, and the top five categories were selected according to the degree of sabotage inflicted by the organization or individual. Finally, the spatiotemporal evolution of terrorist attacks in the past three years was analyzed, considering the terrorist attack targets and key areas of terrorist attacks. The Middle East, Southeast Asia, Central Asia, and Africa were predicted to be the regions that will be most seriously affected by future global terrorist events. The terrorist attacks in Southeast Asia are expected to become more severe, and the scope of terrorist attacks in Africa is expected to widen. Civilians are the targets most at risk for terrorist attacks, and the corresponding risk index is considerably higher than it is for other targets. The results of this research can help individuals and the government to enable a better understanding of terrorism, improve awareness to prevent terrorism and enhance emergency management and rescue, and provide a solid and reliable basis and reference for joint counterterrorism in various countries and regions.

New and little-known species of the genus Zhengitettix (Orthoptera: Tetrigidae: Scelimeninae) from Southeast Asia

2013 ◽  
Vol 22 (2) ◽  
pp. 204-223
Author(s):  
S.Yu. Storozhenko
Keyword(s):  
New Species ◽  
Southeast Asia ◽  
The Philippines ◽  
Check List ◽  
Key To Species ◽  
The Family

Seven new species of the genus Zhengitettix Liang, 1994 are described: Z. hosticus sp. nov., Z. mucronatus sp. nov. and Z. spinulentus sp. nov. from Vietnam; Z. albitarsus sp. nov. and Z. extraneus sp. nov. from Thailand; Z. palawanensis sp. nov. and Z. taytayensis sp. nov. from the Philippines. Two species, Z. curvispinus Liang, Jiang et Liu, 2007 and Z. obliquespicula Zheng et Jiang, 2005 are firstly recorded from Vietnam. An annotated check-list and key to species of the genus Zhengitettix are given. Position of Zhengitettix within the family Tetrigidae is briefly discussed.

scholarly journals Potential Effects of Human Papillomavirus Type Substitution, Superinfection Exclusion and Latency on the Efficacy of the Current L1 Prophylactic Vaccines

Viruses ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 22
Author(s):  
Ian N. Hampson ◽  
Anthony W. Oliver ◽  
Lynne Hampson
Keyword(s):  
Life Cycle ◽  
High Risk ◽  
Outcome Data ◽  
Benign Lesions ◽  
Complex Dynamic ◽  
Papilloma Virus ◽  
Superinfection Exclusion ◽  
Different Types ◽  
Hpv Types ◽  
Type Substitution

There are >200 different types of human papilloma virus (HPV) of which >51 infect genital epithelium, with ~14 of these classed as high-risk being more commonly associated with cervical cancer. During development of the disease, high-risk types have an increased tendency to develop a truncated non-replicative life cycle, whereas low-risk, non-cancer-associated HPV types are either asymptomatic or cause benign lesions completing their full replicative life cycle. HPVs can also be present as non-replicative so-called “latent” infections and they can also show superinfection exclusion, where cells with pre-existing infections with one type cannot be infected with a different HPV type. Thus, the HPV repertoire and replication status present in an individual can form a complex dynamic meta-community which changes with respect to both time and exposure to different HPV types. In light of these considerations, it is not clear how current prophylactic HPV vaccines will affect this system and the potential for iatrogenic outcomes is discussed in light of recent outcome data.

scholarly journals An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City

2021 ◽  
Vol 13 (2) ◽  
pp. 826
Author(s):  
Meiling Zhou ◽  
Xiuli Feng ◽  
Kaikai Liu ◽  
Chi Zhang ◽  
Lijian Xie ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Assessment Model ◽  
Risk Assessments ◽  
Risk Assessment Model ◽  
Risk Area ◽  
The North ◽  
Coastal Cities ◽  
Risk Areas ◽  
The City

Influenced by climate change, extreme weather events occur frequently, and bring huge impacts to urban areas, including urban waterlogging. Conducting risk assessments of urban waterlogging is a critical step to diagnose problems, improve infrastructure and achieve sustainable development facing extreme weathers. This study takes Ningbo, a typical coastal city in the Yangtze River Delta, as an example to conduct a risk assessment of urban waterlogging with high-resolution remote sensing images and high-precision digital elevation models to further analyze the spatial distribution characteristics of waterlogging risk. Results indicate that waterlogging risk in the city proper of Ningbo is mainly low risk, accounting for 36.9%. The higher-risk and medium-risk areas have the same proportions, accounting for 18.7%. They are followed by the lower-risk and high-risk areas, accounting for 15.5% and 9.6%, respectively. In terms of space, waterlogging risk in the city proper of Ningbo is high in the south and low in the north. The high-risk area is mainly located to the west of Jiangdong district and the middle of Haishu district. The low-risk area is mainly distributed in the north of Jiangbei district. These results are consistent with the historical situation of waterlogging in Ningbo, which prove the effectiveness of the risk assessment model and provide an important reference for the government to prevent and mitigate waterlogging. The optimized risk assessment model is also of importance for waterlogging risk assessments in coastal cities. Based on this model, the waterlogging risk of coastal cities can be quickly assessed, combining with local characteristics, which will help improve the city’s capability of responding to waterlogging disasters and reduce socio-economic loss.

An Empirical Examination on the Severity of Lone-Actor Terrorist Attacks

2021 ◽  
pp. 001112872110226
Author(s):  
Noah D. Turner ◽  
Steven M. Chermak ◽  
Joshua D. Freilich
Keyword(s):  
Terrorist Attack ◽  
Terrorist Attacks ◽  
Future Research ◽  
Severe Attack ◽  
Empirical Examination ◽  
Counterterrorism Policy

Lone-actor terrorists have increasingly attracted the attention of researchers, policymakers, and practitioners alike. Despite this enhanced interest, few studies have compared the outcomes of lone-actor terrorist attacks with other terrorists, and those that have do not consider the terrorists’ intention to kill in an attack. This study utilizes a sample of 230 terrorist homicide incidents from the Extremist Crime Database to examine the extent to which lone-actors perpetrate more severe attacks than other terrorists. We find that lone-actors are significantly associated with more severe attack outcomes when controlling for the intention to kill. We conclude by commenting on the utility of these findings in U.S. counterterrorism policy and the importance for future research to account for actors’ intentions when assessing terrorist attack severity

An automatic decision algorithm and simulation performance analysis for public safety

2021 ◽  
pp. 1-12
Author(s):  
Xiangwei Qi ◽  
Weimin Pan ◽  
Bingcai Chen ◽  
Gulila Altenbek
Keyword(s):  
Emergency Response ◽  
Terrorist Attack ◽  
Scheduling Algorithm ◽  
Terrorist Attacks ◽  
Mathematical Form ◽  
Decision Algorithm ◽  
Simulation Performance ◽  
Whole Process ◽  
Real Scene ◽  
Crowd Evacuation

As the current society is increasingly facing major challenges from extremism and terrorism, protecting key urban public facilities and important targets from destruction is an important challenge facing the security departments of all countries. Based on real scene, this paper conducts researches on anti-terrorism security game algorithms and emergency response models in response to the three key links of before, during and after terrorist attacks. First of all, this paper constructs a multi-round joint attack game and emergency response model based on cooperation, establishes the optimization problem of solving the defender’s optimal strategy in mathematical form, and then obtains the optimal defense strategy. Secondly, in response to the fact that terrorists are not completely rational, a new hybrid model is constructed to propose an efficient allocation and scheduling algorithm for safe resources in response to terrorist attacks. Thirdly, a model of crowd evacuation strategy after a terrorist attack is built based on the problem of crowd evacuation in multiple rounds of premeditated cooperative attacks. Finally, taking the area of the first ring of a certain city as a real scene, a complete game system of the whole process is constructed, and the game effectiveness evaluation of the existing security resource allocation scheme in the first ring area is carried out. Through the research of this thesis, the author puts forward some new technical ideas for the current society’s anti-terrorism governance, and hopes to provide some technical references for the decision-making of security agencies.

scholarly journals Effects of terrorist attacks on access to maternal healthcare services: a national longitudinal study in Burkina Faso

2020 ◽  
Vol 5 (9) ◽  
pp. e002879
Author(s):  
Thomas Druetz ◽  
Lalique Browne ◽  
Frank Bicaba ◽  
Matthew Ian Mitchell ◽  
Abel Bicaba
Keyword(s):  
Antenatal Care ◽  
Burkina Faso ◽  
Negative Binomial ◽  
Terrorist Attack ◽  
Healthcare Services ◽  
Terrorist Attacks ◽  
Cesarean Sections ◽  
Maternal Healthcare ◽  
District Hospitals ◽  
The Impact

IntroductionMost of the literature on terrorist attacks’ health impacts has focused on direct victims rather than on distal consequences in the overall population. There is limited knowledge on how terrorist attacks can be detrimental to access to healthcare services. The objective of this study is to assess the impact of terrorist attacks on the utilisation of maternal healthcare services by examining the case of Burkina Faso.MethodsThis longitudinal quasi-experimental study uses multiple interrupted time series analysis. Utilisation of healthcare services data was extracted from the National Health Information System in Burkina Faso. Data span the period of January 2013–December 2018 and include all public primary healthcare centres and district hospitals. Terrorist attack data were extracted from the Armed Conflict Location and Event Data project. Negative binomial regression models were fitted with fixed effects to isolate the immediate and long-term effects of terrorist attacks on three outcomes (antenatal care visits, of facility deliveries and of cesarean sections).ResultsDuring the next month of an attack, the incidence of assisted deliveries in healthcare facilities is significantly reduced by 3.8% (95% CI 1.3 to 6.3). Multiple attacks have immediate effects more pronounced than single attacks. Longitudinal analysis show that the incremental number of terrorist attacks is associated with a decrease of the three outcomes. For every additional attack in a commune, the incidence of cesarean sections is reduced by 7.7% (95% CI 4.7 to 10.7) while, for assisted deliveries, it is reduced by 2.5% (95% CI 1.9 to 3.1) and, for antenatal care visits, by 1.8% (95% CI 1.2 to 2.5).ConclusionTerrorist attacks constitute a new barrier to access of maternal healthcare in Burkina Faso. The exponential increase in terrorist activities in West Africa is expected to have negative effects on maternal health in the entire region.

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