scholarly journals URGENSI SISTEM LINK 16 SEBAGAI PENUNJANG INTEROPERABILITAS TNI DI LAPANGAN

DEFENDONESIA ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 36-46
Author(s):  
Hanif Rahadian
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Data Link ◽  
Tactical Data Link

Kemajuan teknologi informasi dalam medan pertempuran saat ini sudah menjadi unsur vital dalam lingkup militer. Dengan hadirnya sistem teknologi komunikasi yang dapat menunjang integrasi serta interoperabilitas seluruh elemen tempur yang beroperasi dan disebut dengan sistem Tactical Data Link (TDL) Link-16. Sistem TDL Link-16 berfungsi sebagai media komunikasi digital dalam mengolah data taktis medan pertempuran dan mendistribusikan gambaran data tersebut secara real time kepada setiap unsur alutsista, pasukan dan para pemegang keputusan yang berada pada pusat komando. Sistem TDL berfungsi guna mendukung integritas dan interoperabilitas pasukan di lapangan dengan meningkatkan situational awareness dan battlespace management setiap elemen yang beroperasi di darat, laut, udara. Tujuan dari penelitian ini adalah melihat bagaimana kehadiran sistem TDL Link-16 menjadi urgensi guna mendukung interoperabilitas Tentara Nasional Indonesia (TNI) dalam sebuah misi operasi dan mengoptimalisasikan peran dari alutsista yang dimiliki. Metode penelitian yang digunakan merupakan deskriptif dengan teknik pengumpulan data melalui studi kepustakaan. Hasil dari penelitian ini adalah meskipun Indonesia telah menandatangi salah satu syarat pengadaan sistem Link-16 namun masih terdapat beberapa kendala yang dialami oleh TNI dalam upaya menghadirkan sistem Link-16 ke dalam alutsista yang dimiliki sehingga proses integrasi dan interoperabilitas TNI masih belum dapat diimplementasikan sepenuhnya dengan matang.

scholarly journals Communication infrastructure for situational awareness enhancement in WAMS with optimal PMU placement

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Bhargav Appasani ◽  
Amitkumar Vidyakant Jha ◽  
Sunil Kumar Mishra ◽  
Abu Nasar Ghazali
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Area Measurement ◽  
Measurement Unit ◽  
Monitoring And Control ◽  
Communication Infrastructure ◽  
Wide Area Measurement System ◽  
Digital Elevation ◽  
Elevation Model ◽  
And Control

AbstractReal time monitoring and control of a modern power system has achieved significant development since the incorporation of the phasor measurement unit (PMU). Due to the time-synchronized capabilities, PMU has increased the situational awareness (SA) in a wide area measurement system (WAMS). Operator SA depends on the data pertaining to the real-time health of the grid. This is measured by PMUs and is accessible for data analytics at the data monitoring station referred to as the phasor data concentrator (PDC). Availability of the communication system and communication delay are two of the decisive factors governing the operator SA. This paper presents a pragmatic metric to assess the operator SA and ensure optimal locations for the placement of PMUs, PDC, and the underlying communication infrastructure to increase the efficacy of operator SA. The uses of digital elevation model (DEM) data of the surface topography to determine the optimal locations for the placement of the PMU, and the microwave technology for communicating synchrophasor data is another important contribution carried out in this paper. The practical power grid system of Bihar in India is considered as a case study, and extensive simulation results and analysis are presented for validating the proposed methodology.

Use of PMU-Based Software Platform to Provide Real-Time Situational Awareness for Bronzeville Community Microgrid

2020 ◽  
Author(s):  
Niroj Gurung ◽  
Sri Raghavan Raghav Kothandaraman ◽  
Liuxi Calvin Zhang ◽  
Heng Kevin Chen ◽  
Farnoosh Rahmatian ◽  
...  
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Software Platform

scholarly journals An Augmented Warning System for Pedestrians: User Interface Design and Algorithm Development

2021 ◽  
Vol 11 (16) ◽  
pp. 7197
Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Shan Bao
Keyword(s):  
User Interface ◽  
Real Time ◽  
Interface Design ◽  
Situational Awareness ◽  
Warning System ◽  
User Interface Design ◽  
Warning Systems ◽  
Projection Algorithms ◽  
Time Projection ◽  
Timely Warning

Warning pedestrians of oncoming vehicles is critical to improving pedestrian safety. Due to the limitations of a pedestrian’s carrying capacity, it is crucial to find an effective solution to provide warnings to pedestrians in real-time. Limited numbers of studies focused on warning pedestrians of oncoming vehicles. Few studies focused on developing visual warning systems for pedestrians through wearable devices. In this study, various real-time projection algorithms were developed to provide accurate warning information in a timely way. A pilot study was completed to test the algorithm and the user interface design. The projection algorithms can update the warning information and correctly fit it into an easy-to-understand interface. By using this system, timely warning information can be sent to those pedestrians who have lower situational awareness or obstructed view to protect them from potential collisions. It can work well when the sightline is blocked by obstructions.

A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura

2021 ◽  
pp. 016555152110077
Author(s):  
Sulong Zhou ◽  
Pengyu Kan ◽  
Qunying Huang ◽  
Janet Silbernagel
Keyword(s):  
Social Media ◽  
Real Time ◽  
Language Processing ◽  
Disaster Response ◽  
Domain Knowledge ◽  
Latent Dirichlet Allocation ◽  
Situational Awareness ◽  
High Performing ◽  
Latent Topics ◽  
Dirichlet Allocation

Natural disasters cause significant damage, casualties and economical losses. Twitter has been used to support prompt disaster response and management because people tend to communicate and spread information on public social media platforms during disaster events. To retrieve real-time situational awareness (SA) information from tweets, the most effective way to mine text is using natural language processing (NLP). Among the advanced NLP models, the supervised approach can classify tweets into different categories to gain insight and leverage useful SA information from social media data. However, high-performing supervised models require domain knowledge to specify categories and involve costly labelling tasks. This research proposes a guided latent Dirichlet allocation (LDA) workflow to investigate temporal latent topics from tweets during a recent disaster event, the 2020 Hurricane Laura. With integration of prior knowledge, a coherence model, LDA topics visualisation and validation from official reports, our guided approach reveals that most tweets contain several latent topics during the 10-day period of Hurricane Laura. This result indicates that state-of-the-art supervised models have not fully utilised tweet information because they only assign each tweet a single label. In contrast, our model can not only identify emerging topics during different disaster events but also provides multilabel references to the classification schema. In addition, our results can help to quickly identify and extract SA information to responders, stakeholders and the general public so that they can adopt timely responsive strategies and wisely allocate resource during Hurricane events.

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