Efficient Order-Sensitive Activity Trajectory Search

2017 ◽  
pp. 391-405 ◽  
Author(s):  
Kaiyang Guo ◽  
Rong-Hua Li ◽  
Shaojie Qiao ◽  
Zhenjun Li ◽  
Weipeng Zhang ◽  
...  
Keyword(s):  
Trajectory Search ◽  
Activity Trajectory

Ranking Based Activity Trajectory Search

2014 ◽  
pp. 170-185 ◽  
Author(s):  
Wei Chen ◽  
Lei Zhao ◽  
Xu Jiajie ◽  
Kai Zheng ◽  
Xiaofang Zhou
Keyword(s):  
Trajectory Search ◽  
Activity Trajectory

scholarly journals View and Experiences of Unwanted Pregnancy Among Malays Teenage Mother

2021 ◽  
Vol 6 (SI4) ◽  
pp. 27-32
Author(s):  
Fatimah Sham ◽  
Afiqah Ismail ◽  
Tuan Nor Ashikin Tuan Him ◽  
Salmi Razali
Keyword(s):  
Interpretative Phenomenological Analysis ◽  
Publishing House ◽  
Unwanted Pregnancy ◽  
Negative Consequences ◽  
Face To Face ◽  
Teenage Motherhood ◽  
Support Strategies ◽  
International Publishing ◽  
Open Access Article ◽  
Activity Trajectory

Ex-nuptial pregnancy among teenagers in Malaysia associates with negative consequences. However, perspective from them is lacking. To explore their experiences and perspective in addressing this phenomenon. In-depth face-to-face interviews were conducted with informed consent among 10 young women who experienced becoming unwed mothers during adolescents. Data were encoded and analyse using Qualitative Data Analysis Miner Program and interpretative phenomenological analysis. Four themes emerged; sexual activity trajectory, motherhood struggles to them, formula of resilience teenage mothers and life after misery. Perspectives from them are vital. Great support strategies could assist them for a better life. Keywords: teenage, motherhood, pregnant, sexuality, Malaysia  eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v6iSI4.2896

Method for optimal conflict-free aircraft trajectory generation

2019 ◽  
Vol 92 (2) ◽  
pp. 156-162
Author(s):  
Yun-Xiang Han ◽  
Jian-Wei Zhang ◽  
Xiao-Qiong Huang
Keyword(s):  
Conflict Resolution ◽  
Traffic Control ◽  
Content Type ◽  
3D Space ◽  
Resolution Problem ◽  
Aircraft Trajectory ◽  
Automated Tools ◽  
The Impact ◽  
Practical Implications ◽  
Trajectory Search

Purpose A number of automated tools will be required for the purpose of enabling efficient services in air traffic control. The purpose of this paper is to devise an optimal flight trajectory search method that optimizes airspace system efficiency for 3D space in the presence of uncertainties. Design/methodology/approach This paper put forward an optimization model for generating applicable solutions of multi-aircraft conflict resolution problem, and the solution is based on the principle of optimality. Findings The conflict resolution problem between multiple aircraft can be described by spatial discretization, and the approach taken digitizes the 3D space into a grid of nodes. Practical implications The simulation examples are given to illustrate the validity of trajectory search model and stress on the impact of different system parameters. Originality/value Realistic constraints that are convenient to operate are incorporated in the system model, and the results show that it can provide reliable decision-making for conflict avoidance.

scholarly journals Prediction of Suspect Activity Trajectory in Food Safety Area Based on Multiple U-Model Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Kang Wang ◽  
Kun Bu ◽  
Yipeng Zhang ◽  
Xiaoli Li
Keyword(s):  
Food Safety ◽  
Sliding Window ◽  
Model Error ◽  
Gps Data ◽  
Text Data ◽  
Novel Approach ◽  
Criminal Suspects ◽  
Lstm Network ◽  
Model Algorithm ◽  
Activity Trajectory

Modelling and predicting the suspect activity trajectory are of great importance for preventing and fighting crime in the food safety area. Combing artificial intelligence and the multiple U-model algorithm, this paper represents a novel approach to predict the suspect activity trajectory. Based on social text data, emotional assessment is conducted using the LSTM network to detect food safety criminal suspects. Activity trajectories of criminal suspects are clustered using the graphic clustering method based on the GPS data. U-model with the sliding window algorithm is proposed to model activity trajectories. Further, the multiple U-model strategy is proposed to predict the activity trajectory based on the accumulated model error of previous positions and multiple clustered trajectories. The simulation study shows that the proposed scheme can detect food safety criminal suspects and predict their activity trajectories effectively.

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