Shiladitya Munshi

Techno India University, Tripura

The modeling of state transitions in computational machines holds great significance in diverse domains of science, technology, and engineering. Characterization of system behavior, its synthesis, and analysis demands insights into machine configuration, which can only be achieved through proper modeling of the state transitions. The current study...

On-road car accidents are immensely unfortunate but quite common occurrences worldwide. Instant data-centric and informed decisions of crisis management are rarely experienced due to the absence of real-time car accident detection and severity analysis mechanisms. On this background, the current paper presents a deep learning model for car accident...

Artificial Intelligence (AI) is increasingly being integrated into various domains, from healthcare to finance, raising significant concerns about its ethical implications and the need for transparency and explainability. Trustworthy AI systems must address these concerns to foster confidence and ensure responsible use. This paper explores the conv...

With over 7,000 languages spoken worldwide, neural machine translation (NMT) is critical for enabling intercultural communication and global exchange. This research undertakes a comprehensive evaluation of gated recurrent unit (GRU) sequence-to-sequence models for English-to-Nepali translation. The comparative analysis systematically explores the i...

This is a java program named "StateGenExp.java" which generates t no of state transitions for a n bit 2 state 3 neighborhood null boundary Cellular Automata configured with random rule vectors and alternate 0 1 seed state of n length. the input to the program are : (A) Size of the CA and (B) The no of State Transitions targeted. These two informat...

Current paper introduces a Hypergraph Graph model of data storage which can be represented as a hybrid data structure based on Hypergraph and Graph. The pro-posed data structure is claimed to realize complex combinatorial structures. The formal definition of the data structure is presented along with the proper justification from real world scenari...

Current paper discusses the methodologies involved in integrating Resource Description Framework into a HyperGraph Graph HG 2 data structure in order to preserve the semantics of the information contained in RDF document for dealing future cross platform information portability issues. The entire semantic web is mostly dominated by few information...

In this paper a Set Theoretic approach has been reported for analyzing inter-relationship between any numbers of RDF Graphs. An RDF Graph represents triples in Resource Description Format of semantic web. So the identification and characterization of criteria for inter-relationship of RDF Graphs shows a new road in semantic search. Using set theore...

Current paper introduces a Constraint Driven Stratificatified Model for RDF with Hypergraph-Graph (HG(2)) model of data storage which can be represented as a hybrid data structure based on Hypergraph and Graph. In general, the schema component of RDF i,e RDFS is unstratified in nature. In order to establish a sustained information integration of RD...

This paper presents a proposal of a new hybrid graph based framework for integrating information within two semantic web information exchange format RDF and Topic Map. The disagreement on common information meta-model in semantic web arena, which is characterized by two mostly used information standards (RDF and Topic Map), is aimed to be hurdled a...

The current paper presents a symmetric key based network security system where Cellular Automata domain functions have been used for key management purpose. A special class of Cellular Automata referred to as Max Length Cellular Automata has been reported as a potential candidate for such key management. A CA codebook based key generation, encrypti...

The current paper presents an activity pattern based session specific server side software authentication framework which exploits the fact that software usage pattern of each user has a unique signature. This uniqueness in behavior or activity pattern of a user is described to be a potentially better candidate for software authentication. The iden...

This paper reports an algorithm to check for the invertibility of null-boundary three neighborhood cellular automata (CAs). While the best known result for checking invertibility is quadratic [1, 2], the complex-ity of the proposed algorithm is linear. An efficient data structure called a rule vector graph (RVG) is proposed to represent the global...

This paper reports an analytical framework to study a restricted class of Two Dimensional CA. The imposed restriction enables characterization of 2DCA evolution. The concept of Rule Vector Graph (RVG) introduced in [6,7] for characterizing one dimensional CA has been extended in this paper for 2DCA. Design of Rule Vector Graph (RVG) for restricted...

This paper reports a CAAIS (Cellular Automata based Artificial Immune System). It has been designed based on the study of human Immune System. The target application of CAAIS reported in this paper deals with Intrusion Detection in a network. Malicious connections of a network are considered as Antigen - that is foreign body. Antibody that fights A...

This paper presents an analytical solution for Density Classification Task (DCT) with an n cell inhomogeneous Cellular Automata represented by its Rule Vector (RV) <R 0R 1R 2 ⋯R i ⋯R n − − 1>, where rule R i is employed on i th cell (i=0,1,2,⋯(n-1)). It reports the Best Rule Vector (BRV) for solution of DCT. The concept of Rule Vector Graph (RVG) h...