LBCL Digital Repository
→
E-Collections
→
Ph.D. Theses
→
Department of Computer Science & Engineering
→
Browsing Department of Computer Science & Engineering by Issue Date

Browsing Department of Computer Science & Engineering by Issue Date

Now showing items 61-80 of 103

New approaches to energy and temperature aware scheduling techniques for real-time multi-core systems

Moulik, Sanjay (2020)

A system is classified as real-time if it is characterized by a dual notion of correctness: logical as well as temporal. Proportional fair schedulers are often preferred in such real-time systems due to their inherent ...
Algorithms for some Steiner tree problems on Graphs

Saikia, Parikshit (2020)

In this research work we study the Steiner tree (ST) problem in the distributed setting. Given a connected undirected graph with non-negative edge weights and a subset of terminal nodes, the goal of the ST problem is to ...
LiNoVo: Longevity Enhancement of Non-Volatile Caches by Placement, Write-Restriction & Victim Caching in Chip Multi-Processors

Agarwal, Sukarn (2020)

The ever increasing demand for higher processing speed with hiked data parallelism force the computer architects to increase the number of processing cores on a single chip called Chip-Multi-processors (CMPs). Towards ...
Improving Reconstruction Efficiency of Time-varying Gene Regulatory Networks

Pyne, Saptarshi (2020)

Motivation: Flow of regulatory-information between genes are often modelled as a ‘time-varying gene regulatory network’. Here, nodes represent genes. A directed edge from gene X to gene Y at time-interval T is interpreted ...
On the Space Complexity of Storing Small Sets in the Bitprobe Model

Baig, Mirza Galib Anwarul Husain (2020)

In this thesis, we study static membership problem which involves the study and construction of such data structures that can store an arbitrary subset S of size at most n from the universe U of size m such that membership ...
Energy-aware and Fault-tolerant Design Strategies for Safety-critical Systems

Piyoosh, P (2020)

Nowadays, safety-critical embedded systems are increasingly being implemented on computing platforms which involve complex microarchitectural designs with multi-million gates per chip and small feature sizes, to meet the ...
Structural processing methods for speech signal analysis

Bhagath, Parabattina (2020)

Speech signal analysis is a crucial study that helps to develop methods for problems like phoneme segmentation, speech recognition, speaker verification, etc. There are various frameworks and techniques that support these ...
Density-Based Mining Algorithms for Dynamic Data: An Incremental Approach

Bhattacharjee, Panthadeep (2021)

Typically an algorithm designed for carrying data mining tasks is fed with a static set of input. This class of algorithms remain prone to certain disadvantages in scenarios where the input data and extracted results change ...
Modeling the Right to Information Query Log: Learning Latent Parameters to Identify Amendment Scopes in the RTI Act

Kotoky, Nayantara (2021)

Amendments to laws are necessary to keep up with the changing needs of the society. Such a process is largely manual, and policy-makers take feedback from the society for the introduction of an amendment. These include ...
SDN for Large Scale IoT Networks

Chattopadhyay, Subhrendu (2021)

Internet of things (IoT) is one of the rapidly growing network technologies which has the po- tential to serve millions of devices. Such a large scale IoT network (LSiN) requires network management to efficiently serve the ...
Estimation, Reconstruction, and Analysis of Internet Traffic Data using Decomposition Techniques

kumar, Awnish (2021)

With the ever-increasing demand for Internet services, the knowledge of Internet traffic data is very essential for addressing various network-wide applications within an Internet Protocol (IP) backbone network. However, ...
Automatic Language Identification in Online Multilingual Conversations

Sarma, Neelakshi (2021)

With the abundance of multilingual content on the Web, Automatic Language Identification (ALI) is an important pre-requisite for different Natural Language Processing applications. While ALI of well-edited text over a ...
Anomaly Detection in Oil Well Drilling Operation Using Artificial Intelligence Based Approaches

Tripathi, Achyut Mani (2021)

Artificial intelligence (AI) based approaches and in particular machine learning techniques have been extensively applied in domains such as health care, computer vision, and network security to build complex and accurate ...
Designing Data-Aware Network-on-Chip for Performance

Das, Abhijit (2021)

We are now in an era where data drives everything, and the demand for information processing is increasing exponentially. This increasing demand is driving a parallel increase in the number of processing cores in Tiled ...
वेदिन्-कक्ष (Vedinkaksha): A Computational Framework for a ‘Sensitive’ Blended Learning Platform

Tikadar, Subrata (2021)

Advanced technologies are being utilized in the field of education for an improved teaching-learning experience. Modern technologies and equipment such as smartboard, projector, and sound amplifier are being adapted in the ...
Design Methodology for On-Chip Power Grid Interconnect: Al/ML Perspective

Dey, Sukanta (2021)

Power Distribution has become a challenging issue in System-on-Chip (SoC) design. Generally, a power grid network is created for the distribution of power from the power pads to ll the underlying functional blocks. During ...
Efficient Task Scheduling in Cloud Environment

Swain, Chinmaya Kumar (2021)

Cloud computing is the new form of service model which is provided through the Internet. Now it emerged as the versatile form of utility computing, where applications and infrastructure can be leased from a very large ...
Student Engagement Awareness Dashboard in Asynchronous E-Learning Environment

Kebede, Abdalganiy (2021)

The most important activity in life is to acquire and be equipped with knowledge. It is generated and acquainted through learning and trainings. Often there are adult learners who face competing demands, including family ...
Neural Network Models for Analyzing the Splicing Cell Variable from Genome Sequences

Dutta, Aparajita (2021)

The escalating rate of deaths caused by complex human diseases has led to the need for unravelling the underlying genetic causation of these diseases. The study of the functional and structural information encoded in the ...
Towards Vehicle-to-Infrastructure Connectivity, Location Privacy and Trust Management in Vehicular Networks

Singh, Pranav Kumar (2021)

The vehicular network is in its flourished stage, and its various applications related to safety, traffic efficiency, and infotainment have made it more appealing. This thesis explores the vehicular network in detail, ...

Browsing Department of Computer Science & Engineering by Issue Date

Browsing Department of Computer Science & Engineering by Issue Date

Search

Browse

All of LBCL Digital Repository

This Collection

My Account