scholarly journals Intelligent Design for Simulation Models of Weapon Systems Using a Mathematical Structure and Case-Based Reasoning

2020 ◽  
Vol 10 (21) ◽  
pp. 7642
Author(s):  
Dohyun Kim ◽  
Dongsu Jeong ◽  
Yoonho Seo
Keyword(s):  
Simulation Models ◽  
Armed Forces ◽  
Mathematical Structure ◽  
Case Based Reasoning ◽  
Weapon System ◽  
Weapon Systems ◽  
Common Structure ◽  
Modeling Process ◽  
Development Cycle ◽  
Case Based

The armed forces of major nations have utilized modeling and simulation technologies to develop weapon systems corresponding to changing modern battlefields and reducing the development cycle. However, model design is complex owing to the characteristics of current weapons, which require multiple functions. Therefore, this study proposes a method to support the automated design of weapon system models for simulation. We apply module-based modeling and an intelligent modeling process to our devised method. The former formalizes constituents and constraints regarding an element combination to design the required model, while the latter applies case-based reasoning (CBR) to intelligentize the modeling process based on the results of the former. Using a case study, our proposed method demonstrates that models that respond to operational circumstances can be designed based on simulation results. Consequently, when weapon systems can be represented in formalized structures and constituents, the weapon models can be reusable based on the addition, modification, and replacement of modules in the common structure. The CBR process can provide the models that satisfy the requirements by retrieving similar models and modifying the models. The proposed method is applicable to the process of weapon system design or improvement for changing battlefields.

scholarly journals Multiple-criteria model for optimal Anti Tank Ground missile weapon system procurement

2021 ◽  
Vol 69 (4) ◽  
pp. 792-827
Author(s):  
Dragan Pamučar ◽  
Slobodan Dimitrijević
Keyword(s):  
Armed Forces ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Weapon System ◽  
Weapon Systems ◽  
Course Of Action ◽  
Operational Capabilities ◽  
Order Preference ◽  
Adequate Evaluation ◽  
Topsis Technique

Introduction: Anti Tank Ground Missiles (ATGMs) are one of the most efficient weapon systems to counter armored and mechanized units. Procurement of these weapons is imperative for armed forces of any country. Adequate evaluation and choice of an efficient ATGM system is a very important factor which affects operational capabilities of armed forces. The purpose of this paper is to present that multi criteria methods can be a useful tool for optimal procurement of ATGMs for armed forces. Methods: The implementation of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and the MABAC (Multi Attributive Border Approximation Area Comparison) multi criteria methods will be proposed for decision makers to solve the problem of ATGM procurement. In this paper, four models of ATGMs will be proposed as possible solutions. These ATGMs will be presented as alternatives A1, A2, A3 and A4. Results: The implementation of the methods in this paper has led to the conclusion that the alternative A2 has the highest value and therefore the best course of action for decision makers is to chose procurement of this model of ATGMs. Conclusion: The conclusion is that the mathematical models of multi-criteria decision making presented in this paper unequivocally point to the alternative with the best characteristics, thus presenting extremely useful tools for decision makers.

Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 132-139
Author(s):  
Ivan E. Kurilenko ◽  
◽  
Igor E. Nikonov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Classification Problem ◽  
Subject Area ◽  
Text Messages ◽  
Case Based Reasoning ◽  
Short Text ◽  
Proposed Modification ◽  
Voice Interaction ◽  
Text Content ◽  
Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

Turkey’s Burgeoning Defense Technological and Industrial Base and Expeditionary Military Policy

2020 ◽  
Vol 22 (Summer 2020) ◽  
pp. 115-130
Author(s):  
Can Kasapoğlu
Keyword(s):  
21St Century ◽  
Middle Eastern ◽  
Armed Forces ◽  
Foreign Affairs ◽  
Military Policy ◽  
Horn Of Africa ◽  
Hybrid Warfare ◽  
Industrial Base ◽  
Weapon Systems ◽  
Drone Warfare

As the incumbent Turkish administration strives to pursue more aspiring goals in foreign affairs, Turkey’s military policy is fast developing in line with this vision. The nation’s defense technological and industrial base can now produce various conventional weaponry. Of these, without a doubt, Turkey’s drone warfare assets have garnered the utmost attention among the international strategic community. In tandem, the Turkish Armed Forces (TAF) have gradually gained an expeditionary posture with forward deployments across a broad axis, ranging from the Horn of Africa to the Gulf and the Mediterranean. Meanwhile, the military’s doctrinal order of battle has been transforming to address the unfolding hybrid warfare challenges in Ankara’s hinterland. Turkey’s proxy warfare capabilities have also registered an uptrend in this respect. Nevertheless, Ankara will have to deal with certain limitations in key segments, particularly 5th generation aircraft and strategic weapon systems which, together, represent a severe intra-war deterrence gap in Turkey’s defense posture. The Turkish administration will have to address this specific shortfall given the problematic threat landscape at the nation’s Middle Eastern doorstep. This study covers two interrelated strategic topics regarding Turkey’s national military capacity in the 21st century: its defense technological and industrial base (DTIB) and its military policy, both currently characterized by a burgeoning assertiveness.

Feature level intentions based product recommendations with case-based reasoning

2018 ◽  
Vol 6 (1) ◽  
pp. 266-274
Author(s):  
D. Teja Santosh ◽  
◽  
K.C. Ravi Kumar ◽  
P. Chiranjeevi ◽  
◽  
...  
Keyword(s):  
Case Based Reasoning ◽  
Product Recommendations ◽  
Case Based

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK DENGAN METODE CASE-BASED REASONING DENGAN ALGORITMA SIMILARITY JACCARD PADA PUSKESMAS HALMAHERA SEMARANG

2020 ◽  
Vol 11 (2) ◽  
pp. 57-63
Author(s):  
Didik Trisulo ◽  
Setyawan Wibisono
Keyword(s):  
Case Based Reasoning ◽  
Case Based

Kesehatan merupakan hal yang paling berharga bagi manusia, karena siapa saja rentan mengalami gangguan kesehatan. Anak sangat rentan terhadap kuman penyakit dan kepekaan terhadap gejala suatu penyakit merupakan ketakutan sendiri bagi orang tua. Orang tua merupakan orang awam terhadap dunia kesehatan. Sehingga dalam hal ini di bidang kesehatan lebih membutuhkan seorang pakar yang bisa memudahkan mendiagnosa suatu penyakit lebih cepat agar orang tua dapat melakukan pencegahan lebih awal yang sekiranya bisa membutuhkan waktu lebih lama jika berkonsultasi dengan dokter ahli. Tujuan dari penelitian ini adalah merancang dan sistem pakar untuk diagnosa penyakit anak dengan metode cased-based reasoning dengan algoritma similarity jaccard pada Puskesmas Halmahera Semarang sehingga membantu memberikan informasi tentang diagnosa penyakit anak pada Puskesmas Halmahera Semarang berbasis web.         Perancangan sistem pakar untuk diagnosa penyakit anak dengan metode cased-based reasoning dengan algoritma similarity jaccard pada Puskesmas Halmahera Semarang ini dibuat dengan menggunakan tools seperti PHP, Xampp, Bootstrap.                 Hasil sistem pakar untuk diagnosa penyakit anak dengan metode cased-based reasoning dengan algoritma similarity jaccard pada Puskesmas Halmahera Semarang dapat membantu memberikan informasi tentang diagnosa penyakit anak pada Puskesmas Halmahera Semarang  

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