War Strategy Research Articles

FHAWS: fuzzy hybrid arithmetic war strategy for parametric optimization of toughened glass on toughening machine

FHAWS: fuzzy hybrid arithmetic war strategy for parametric optimization of toughened glass on toughening machine

A NEW TYPE OF WARFARE: Chemical Filling Facilities in Istanbul, 1914–1918

In the total war era, states committed their scientific research to rapidly changing warfare conditions, making the management of war the primary goal of contemporary states. The weakness of primary weapons in neutralising the enemy (or enemies) was obvious from the beginning of the First World War. Constantly changing war strategies, integration of civilians into warfare, and the growing sense of impotence as the war proceeded longer than expected, prompted a return to the components of violence. Although research into the use of different chemicals, gases, and suffocating substances in weapons was not something new, its successful employment climaxed during the First World War. This study provides an analysis of the employment of chemical weapons during the First World War and revisits the scarce arguments on whether the Ottomans had taken part in producing chemical weapons. The primary focus here is the gasfilling facilities established in Istanbul under the supervision of German efforts for military purposes. Additionally, the unanticipated extraordinary effects of the use of chemical weapons, the strategies employed to cause attrition in trenches, and its effects on the Ottoman army are within the scope of this article.

Enhancing IOT based software defect prediction in analytical data management using war strategy optimization and Kernel ELM

Enhancing IOT based software defect prediction in analytical data management using war strategy optimization and Kernel ELM

Enhancing battery management for HEVs and EVs: A hybrid approach for parameter identification and voltage estimation in lithium-ion battery models

In recent years, batteries have evolved increasingly overall in numerous applications. Among batteries, LIBs are the most advantageous technology because of their raised power and energy densities. This study proposes a hybrid method, combining a war strategy optimization (WSO) algorithm and a hierarchical deep learning neural network (HDLNN) named WSO-HDLNN, to identify the parameters of lithium-ion batteries (LIBs) used in hybrid and electric vehicles (HEVs and EVs). The hybrid approach utilizes the WSO technique to generate parameters and predicts the components using the HDLNN approach. The proposed method significantly reduces the estimated voltage and measured voltage error while effectively identifying the battery parameters. The MATLAB/SIMULINK platform is employed for implementation and comparison with other existing methods such as differential evolution (DE), grasshopper optimization algorithm (GOA), and particle swarm optimization (PSO). Simulation results demonstrate the efficiency of the proposed WSO-HDLNN strategy in reducing battery voltage errors by accurately identifying parameters and improving voltage estimation accuracy. Further, notable novelty in this work is the integration of the WSO algorithm with the HDLNN in the WSO-HDLNN protocol for LIB parameter identification. This fusion is distinct as it synergizes the strengths of optimization and deep learning, enhancing efficiency and accuracy in LIB parameter estimation. The WSO algorithm introduces a novel war strategy element, leading to faster convergence to optimal solutions, significantly reducing computational time. Moreover, the WSO-HDLNN approach showcases robustness in handling noisy data, a unique feature ensuring accurate parameter estimates amidst real-world uncertainties, setting it apart from conventional LIB modeling methods.

Optimal Configuration of Voltage Sag Monitoring Points Considering Branch Current based on War Strategy Optimization Algorithm

In recent years, a large number of distributed power sources have been connected to the power grid, and the power quality problem has been deteriorating. In order to comprehensively evaluate the voltage information and current information and realize the guidance of power quality monitoring, this paper considers the global monitoring of fault points and obtains branch current information as much as possible. The concept of average redundancy is added to establish the optimal configuration model of voltage sag monitor. The model is solved by the war strategy optimization algorithm, and the optimal configuration simulation of IEEE39 nodes is carried out by MATLAB. The optimal configuration scheme of the monitor is obtained, and the feasibility and effectiveness of the scheme are verified.

Air Pollutants Classification Using Optimized Neural Network Based on War Strategy Optimization Algorithm

Air Pollutants Classification Using Optimized Neural Network Based on War Strategy Optimization Algorithm

The Empowerment of The Cyber Communities By The Indonesian Goverment From The Perspective of Total War Strategy

The development of Information Technology and Computers (ICT) has made changes that affect the concept of security. The impact of these ICT developments poses a cyber threat to the National Critical Information Infrastructure (IIKN). The cyber community empowerment effort aims to help the government, institutions and private parties related to the ICT sector in safeguarding and securing IIKN from cyber attacks whose impact can collapse a country if it is not anticipated earlier. For that we need a strategy that is able to support the empowerment of the cyber community by the government in the perspective of universal war. In writing this article, the author uses a method by collecting data and information through the help of various materials contained in the literature (books) or also known as the type of phenomological research associated with qualitative descriptive. From the results of the literature research that the authors get, it is known that the cyber community has not fully helped the government in national defense, there are some cyber communities that have not been involved, it takes the role of government, institutions and private parties related to ICT to be able to realize cyber community empowerment by the Government in the perspective of Total war.
 

Parameter extraction of floating solar PV system with war strategy optimization for sustainable cleaner generation

Parameter extraction of floating solar PV system with war strategy optimization for sustainable cleaner generation

Tous soldats de la guerre psychologique ?

ContextThe total, fractal and transversal war (Alliez & Lazzarato, 2016) of cybercapitalism is not the military or interstate war of Freud's and Einstein's time, while preserving the share of psychosis, annihilation and sacrifice that Einstein questions in his correspondence with Freud (Einstein & Freud, 1933). Capital's war takes place in-for-against the population, in order to fabricate the economic unconscious and consumable-consumerist-productivist subjectivities capable of enrolling in an indefinite and infinite warfare system, taking the form of a multiplicity of wars that no longer respond to the “peace-crisis-war-solution” equation. The main problem raised by this context is not only the fundamentally unconscious nature of this dynamic, but its absence from clinical and theoretical studies, which seem to be in collusion with the propaganda of the dominant powers that determine the dominant thinking of all times. ObjectivesThis research has four main objectives. The first is to contribute to the debate concerning our involuntary participation (as citizens and/or health professionals) in total war. The second objective is to provide theoretical elements for a better understanding of the modus operandi and arsenal of cybercapitalist psychological warfare (CPW), as well as some of its mechanisms and dynamics. The third objective is to link the foregoing to medical and epidemiological data that seem to prove the ravages caused by CPW. The fourth objective is to explore clinical approaches that could elaborate on the repressions and conditionings of this context. MethodThe theoretical framework of this qualitative and interpretative work is inspired by critical studies, psychoanalysis, neuroscience, medicine, and epidemiology. ResultsThe intersection of various theoretical perspectives shows: the relevance of the PSYOP program launched by the United States at the outbreak of the Second World War; the immobilization of CPW soldiers in the simultaneity of the fight-flight-freeze triad; the role of neuroculture and its modifications of the neuro-cognitive-behavioral and emotional complex (which do not respect human rights); the exploitation of the social matrix of war by social networks; the injection to saturation point of predatory and pathogenic “non-self” objects provoking aberrant autoimmune psycho-somatic defenses that can lead to autoimmune diseases (conceived as a “war against self”); the alarming pathologization of younger generations increasingly exposed to total war strategies. InterpretationThe data reviewed call for an urgent adaptation of clinical and theoretical perspectives to take into account both the more than disturbing health effects and the repression of the mechanisms and consequences of total war by health professionals. In addition, clinicians are invited to contribute to public and political debates, with the aim of promoting the advent of new laws that effectively protect human dignity and human rights.

A Hybrid Optimization Algorithm for Efficient Virtual Machine Migration and Task Scheduling Using a Cloud-Based Adaptive Multi-Agent Deep Deterministic Policy Gradient Technique

This To achieve optimal system performance in the quickly developing field of cloud computing, efficient resource management—which includes accurate job scheduling and optimized Virtual Machine (VM) migration—is essential. The Adaptive Multi-Agent System with Deep Deterministic Policy Gradient (AMS-DDPG) Algorithm is used in this study to propose a cutting-edge hybrid optimization algorithm for effective virtual machine migration and task scheduling. An sophisticated combination of the War Strategy Optimization (WSO) and Rat Swarm Optimizer (RSO) algorithms, the Iterative Concept of War and Rat Swarm (ICWRS) algorithm is the foundation of this technique. Notably, ICWRS optimizes the system with an amazing 93% accuracy, especially for load balancing, job scheduling, and virtual machine migration. The VM migration and task scheduling flexibility and efficiency are greatly improved by the AMS-DDPG technology, which uses a powerful combination of deterministic policy gradient and deep reinforcement learning. By assuring the best possible resource allocation, the Adaptive Multi-Agent System method enhances decision-making even more. Performance in cloud-based virtualized systems is significantly enhanced by our hybrid method, which combines deep learning and multi-agent coordination. Extensive tests that include a detailed comparison with conventional techniques verify the effectiveness of the suggested strategy. As a consequence, our hybrid optimization approach is successful. The findings show significant improvements in system efficiency, shorter job completion times, and optimum resource utilization. Cloud-based systems have unrealized potential for synergistic optimization, as shown by the integration of ICWRS inside the AMS-DDPG framework. Enabling a high-performing and sustainable cloud computing infrastructure that can adapt to the changing needs of modern computing paradigms is made possible by this strategic resource allocation, which is attained via careful computational utilization.

A History of the Afghan War (2001-2021) from a Defense Diplomacy Perspective

This paper discusses the asymmetric war in Afghanistan from 2001 to 2021 between the United States (US) and the Taliban from the perspective of defense diplomacy. The purpose of this paper is to identify assymetric war strategies and to evaluate defense diplomacy process to create peace. The research is based on qualitative method using secondary data from books, documents, and journals. The study indicates that defense diplomacy had succesfully led to the peace agreement, signed in Doha on February 29, 2020 between the US and the Taliban, which had been in conflict for nearly 20 years. However, the peace creation process is not easy due to the inhibiting factors which play more significant role than the supporting factors for defense diplomacy. Although the US, a super power, is supported by the North Atlantic Treaty Organization (NATO), Pakistan and several other countries, it is not a guarantee for the US to achieve its war objectives. The US goals and strategy continuously changed over time and imprecise in its implementation. The US’s failure to understand the political entity of the Taliban, particulary in the political, social and cultural aspects, is the main obstacle to achieving the US’ war goals and the ease implementation of defense diplomacy.

Research on the Development of the International Economic Order Under the Impact of China-US Trade War Strategies and China's Response Plans

This study aims to explore the impact of the China-US trade war on the international economic order and its consequences. The research examines the background of the trade war, its global economic implications, and the stability of the international economic order. A particular focus is placed on China's response strategies in the face of the China-US trade war, including multilateral cooperation, industrial upgrading, and financial market liberalization. This research seeks to provide valuable insights for maintaining the stability of the international trade order and the future development of China.

Analysis of the Causes and Strategies of the Russia-Ukraine War and Military Direction of Korea

Analysis of the Causes and Strategies of the Russia-Ukraine War and Military Direction of Korea

Western carrot and whip Diplomacy for Serbia

The multi-vector policy of the Serbian leadership makes it possible to maintain a delicate balance of relations with the West and the East — the European Union and Russia. Serbia, as a key country in the Balkan region, is experiencing tremendous pressure from Euro-American "well-wishers" to join the anti-Russian sanctions and sign the peace plan proposed by France and Germany to normalize the situation in Kosovo and Metohija. Serbia is successfully diversifying its relations with Russia and with other countries outside the Western bloc. At the same time, Belgrade in certain areas is forced to follow the policy of the collective West. This is done largely in connection with pragmatic goals — obtaining economic benefi ts from ties with EU countries and the West in general, adhering to such values and actively promoting them. At the same time, in order to speed up the process of subordinating Belgrade to the demands of Washington and Brussels, a hybrid war is already being waged against Serbia today with the threat of unleashing a proxy war and a color revolution. The eff orts of external and internal opponents of the current leadership of Serbia and its political line to preserve the independence, sovereignty and territorial integrity of the country form the necessary and suffi cient conditions for the use of modern strategies and technologies of interstate confrontation. The proxy war strategy provides for the possibility of using the self-proclaimed “Republic of Kosovo” as a proxy agent for the US and NATO for a military attack on Belgrade. At the same time, preparations are underway for a coup d'état in the course of a color revolution in order to bring to power a government manipulated by the West. Practical recommendations are given for organizing a rebuff to hybrid aggression.

An efficient war strategy optimization reconfiguration method for improving the PV array generated power

Improving the photovoltaic (PV) array performance is a challenge especially during partial shade operation (PS), in such case the array power-voltage characteristic has multi-local peaks and one global power (GP) to be extracted. Dispersing the partial shade via relocating the shaded panels is a process named reconfiguration, it can increase the array generated power. Therefore, this paper proposes a new reconfiguration approach of war strategy optimization algorithm (WSO) to enhance the array generated power under different shade patterns by mitigating the absolute difference between the highest and lowest currents of each row in the array. The proposed approach has a good balance in exploration/exploitation phases that avoids falling in local optimal solution. The analysis is performed using a 9 × 9 array operated at long narrow (LN), short narrow (SN), long wide (LW), short wide (SW), and lower triangle (LT) shades. Also, comparison to reported methods of tie cross tied (TCT), Sudoku, and African vultures optimization algorithm (AVOA) in addition to other new approaches of dandelion optimizer (DO), dung beetle optimizer (DBO), artificial hummingbird algorithm (AHA), artificial gorilla troops optimizer (GTO), and artificial ecosystem optimizer (AEO) is conducted. Furthermore, statistical analysis of Friedman test, Wilcoxon sign rank, ANOVA table, and Kruskal Wallis test are implemented to evaluate the proposed WSO. The architecture obtained via the proposed WSO succeeded in achieving the best power enhancements of 71.16%, 61.87%, 82.92%, 80.17%, and 65.31% with respect to TCT arrangement for SW, LW, SN, LN, and LT patterns respectively. The fetched results proved the efficiency and robustness of WSO in augmenting the generated power from shaded PV array.

ANALYSIS OF WEAPON TECHNOLOGY AND DEFENSE RESOURCES USED IN THE INDONESIAN GUERRILLA WAR 1945 – 1949

Guerrilla War strategy became an important part of the history of Indonesia's struggle. The limited weapon technology and defense resources used in the Guerrilla War made the choice of strategy become important. Therefore, an analysis of the utilization of weapon technology and defense resources used during Indonesian Guerrilla War from 1949 to 1949 will provide a deeper understanding of how limited resources can be effectively utilized in the struggle for independence. This method uses a qualitative method with a narrative/historical approach to analyze the utilization of defense equipment technology and weaponry resources in the period of the Indonesian guerrilla war in 1945-1949. Through this analysis, it can be seen that the guerrilla strategy succeeded in maximizing the potential and effectiveness of limited weaponry resources. Environmental factors, battle tactics, and the courage of fighters were successful in maintaining independence. In the perspective of asymmetrical warfare, Indonesia's guerrilla warfare strategy succeeded in balancing superior forces.

Defense Economics in Indonesian “Semesta” War Strategy

The strategy of the Semesta War is part of an Indonesian National Defense System. The purpose of this study is to show that the strategy of the Semesta War was not a total war and was not just a guerrilla war, although guerrilla tactics were part of it. It is also different from the People’s War from Mao’s Strategy. So, what is Semesta War looks like? We can understand this strategy from Indonesian History. A Trikora operation was the largest military strike Indonesia had ever planned and titled, with the aim of a massive attack on the Dutch military forces in the land of West New Guinea. But rather than showing the Semesta War Strategy succeeded, The studies will show the impact of the Semesta War strategy from a Defense Economics perspective. The writing employs historical methods of heuristic criticism consisting of internal and external criticism and the historiography of history in which interpretation, exposition, and presentation from a literature study of the writings of the perpetrators of Trikora history. The results suggest that operation Trikora is one of the implementations of the Indonesia Semesta War Strategy, it was successful to achieve its strategic goal, but, with expensive sacrifice.

Fractional WSD: Fractional war strategy dingo optimization with unified segmentation for detection of skin cancer

Skin cancer represents a general cancer type. Earlier treatment and diagnosis are important tasks in skin cancer. The models, like deep learning, are generally utilized for diagnosing skin lesions and aid in precise treatment. This paper devises a new optimized deep model for discovering skin cancer with a group of skin images. The model utilized pre-processing with a Gaussian filter to filter out the noise and include contrast enhancement to improve image quality. Then segmentation process is done and it is accomplished by fusing two networks, namely Pyramid Based Multi-Scale Encoder-Decoder Network (PMED-Net) and U-Net. The weight optimization takes place using Dingo War Strategy optimization (DWSO). Various operations, like flipping, brightness, shifting, and random erasing are performed for data augmentation to increase dimensionality. The features are extracted to acquire the imperative information from the pixels. The Deep Convolution Neural Network (DCNN) is adapted finally for discovering skin cancer and is subsequently trained with Fractional DWSO. The proposed Fractional DWSO-based DCNN outperformed with an utmost testing accuracy of 95.8 %, sensitivity of 96.9 %, and specificity of 96.6 % respectively.

The Russian Bloodletting Strategy in the Second Nagorno-Karabakh War: From Success to Hubris

The article focuses on the role of the Second Nagorno-Karabakh War in shaping the balance of power in the Lesser Caucasus as a prelude to the Russian invasion of Ukraine. It argues that Russia implemented a “bait and bleed” strategy to discipline Armenia for its pro-Western agenda. In addition, it focuses on Turkey’s role as a supportive apparatus for Azerbaijan’s military efforts against Armenia, evaluating the connection established between Moscow and Ankara. The Nagorno-Karabakh case marked a new manipulative Russian strategy to influence the balance of power in regions with geostrategic significance for the Kremlin.

Ag and Sn Implications in 3-Polker Coins Forgeries Evidenced by Nondestructive Methods.

Several forged 3-Polker coins have been reported in historical sources on the financial crisis that occurred between 1619 and 1623 at the start of the 30-year-long war. Supposedly, belligerent countries forged other countries' coins which were then used for external payments as a war strategy. Thus, a lot of 3-Polker coins (e.g., Sigismund-III-type) were forged, and the markets became flooded with poor currency. In the present day, these pre-modern forgeries are rare archeological findings. Only five forged 3-Polker coins randomly found in Transylvania were available for the current study. There are deeper implications of silver and tin in the forgery techniques that need to be considered. Thus, the forged 3-Polker coins were investigated via nondestructive methods: SEM microscopy coupled with EDS elemental spectroscopy for complex microstructural characterization and XRD for phase identification. Three distinct types of forgery methods were identified: the amalgam method is the first used for copper blank silvering (1620), and immersion in melted silver (1621) is the second one. Both methods were used to forge coins with proper legends and inscriptions. The third method is the tin plating of copper coins (with corrupted legend and altered design) (1622, 1623, and 1624). The EDS investigation revealed Hg traces inside the compact silver crusts for the first type and the elongated silver crystallites in the immersion direction, which are well-attached to the copper core for the second type. The third forgery type has a rich tin plating with the superficial formation of Cu6Sn5 compound that assures a good resistance of the coating layer. Therefore, this type should have been easily recognized as fake by traders, while the first two types require proper weighing and margin clipping to ensure their quality.