Numerical solution of fuzzy delay differential equations under generalized differentiability by Euler's method

In this paper, we interpret a fuzzy delay differential equations using the concept of generalized differentiability. Using the Generalized Characterization Theorem, we investigate the problem of finding a numerical approximation of solutions. The Euler approximation method is implemented and its error analysis is discussed. The applicability of the theoretical results is illustrated with some examples

Probing the Origin of Primordial Black Holes through Novel Gravitational Wave Spectrum

In this article we investigate the cumulative stochastic gravitational wave spectra as a tool to gain insight on the creation mechanism of primordial black holes. We consider gravitational waves from the production mechanism of primordial black holes and from the gravitational interactions of those primordial black holes among themselves and other astrophysical black holes. We specifically focus on asynchronous bubble nucleation during a first order phase transition as the creation mechanism. We have used two benchmark phase transitions through which the primordial black holes and the primary gravitational wave spectra have been generated. We have considered binary systems and close hyperbolic interactions of primordial black holes with other primordial and astrophysical black holes as the source of the secondary part of the spectra. We have shown that this unique cumulative spectra have features which directly and indirectly depend on the specifics of the production mechanism.Comment: 22 pages, 9 figures, 2 tables; figures updated, discussions and references added, version published in JCA

A Predictive Explicit Guidance Scheme for Ballistic Missiles

A new approach to the design of ballistic missile guidance is presented in this paper. The proposed method uses the missile model to predict the likely impact point at every guidance cycle and apply course corrections based on the predicted impact point (PIP) deviations. The algorithm also estimates the in-flight thrust variation from nominal and accordingly updates the model to reduce the uncertainty in the prediction of the impact point. The performance of the algorithm is tested through 6-DOF simulation. The simulation results show excellent performance of the proposed guidance scheme in nominal & off nominal cases.Defence Science Journal, 2013, 63(5), pp.456-461, DOI:http://dx.doi.org/10.14429/dsj.63.257

Indigenous Ways of Knowing in Nepal: Exploring Indigenous Research Procedures in Shamanism

By presenting Shamanism as a form and tradition of indigenous knowledge, this paper aims to reduce the uncertainties attached to the concept in common approaches to indigenous research. Most indigenist researchers, who are working to blend western and non-western ways of knowing, have inadequately explored indigenous research procedures. In order to understand indigenous research procedures in the Nepali multi-cultural context, using interpretive, critical and postmodern research paradigms, the authors engaged with indigenous elders and traditional healers, and observed cultural events like shamanic performances. This paper reveals how achieving a profound understanding of indigenous knowledge traditions will be an integral part of how researchers approach indigenous communities in future studies

Selection of Mixed Sampling Plan with QSS-1(n; c\u3csub\u3eN\u3c/sub\u3e, c\u3csub\u3eT\u3c/sub\u3e) Plan as Attribute Plan Indexed Through MAPD and LQL

A procedure for the construction and selection of the mixed sampling plan using MAPD as a quality standard with the QSS-1 (n; cN, cT) plan as an attribute plan is presented. The plans indexed through MAPD and LQL are constructed and compared for efficiency. Tables are provided for selection of an appropriate sampling plan

MONITORING SYSTEM OF FISH POOL WATER TURBIDITY WITH ESP32 AND BLYNK

Technological developments in all aspects of life today are urgently needed, this can be seen from the many technologies that have replaced human jobs. As with the fish column at home, the work that is routinely done in the fish column is to replace the water in it if it is too cloudy so that it looks clean and creates good conditions for the development and health of the fish. Usually, fish farmers will make a schedule to check water quality and replace it. This work can sometimes take up time, especially when busyness increases and if you are late or forget to change the water in the pond, it can harm the condition of the fish in it. To help overcome this problem, equipment has been designed to monitor the turbidity level of the water that can be monitored from anywhere and at any time. This study aims to produce a tool that can monitor and control the condition of the level of water turbidity in fish ponds so that fish growth can be maximized. This monitoring is carried out regularly in real-time using IoT (Internet of Things) so that it can facilitate monitoring without the need to come directly to the pond location. This research succeeded in creating a monitoring system that can detect the turbidity of aquarium water using the ESP 32 tool and display on the Blynk application automatically in real-time

Indigenous Ways of Knowing in Nepal: Exploring Indigenous Research Procedures in Shamanism

By presenting Shamanism as a form and tradition of indigenous knowledge, this paper aims to reduce the uncertainties attached to the concept in common approaches to indigenous research. Most indigenist researchers, who are working to blend western and non-western ways of knowing, have inadequately explored indigenous research procedures. In order to understand indigenous research procedures in the Nepali multi-cultural context, using interpretive, critical and postmodern research paradigms, the authors engaged with indigenous elders and traditional healers, and observed cultural events like shamanic performances. This paper reveals how achieving a profound understanding of indigenous knowledge traditions will be an integral part of how researchers approach indigenous communities in future studies

Technological Perspectives of Countering UAV Swarms

Conventional AD systems have been found less effective for countering UAVs and loitering munitions. Thishas necessitated the development of counter-UAV systems with different functionalities. A cluster of armed UAVsas swarm formations has further rendered the conventional AD systems far from effective, emphasizing the need to consider countering swarms as the most crucial element in new-generation aerial threat mitigation strategies. In this paper, the capabilities of UAV swarms and vital military assets exposed to such attacks are identified. To protect the vital assets from aerial swarm threats, ideal system characteristics of a counter-UAV (C-UAV) swarm system to overcome the challenges are discussed. Currently available acquisition & engagement technology is analyzed and the application of these systems to counter swarm applications is brought out. New requirements are discussed and a conceptual design of a layered system is derived which can handle a large spectrum of aerial threats including a swarm of UAVs. This system is expected to have a higher rate of engagement and can be designed with low-cost network-integrated systems