Browsing Division of Interdisciplinary Research by Title
Now showing items 315-334 of 558
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Investigations on Single DC Source Hybrid Multilevel Topologies with Extended Linear Modulation Range for Variable Speed Drives
Multilevel inverters (MLIs) are preferred for high and medium power applications due to their numerous advantages over traditional two-level inverters. MLIs generate output phase voltages with multiple levels, mitigating ... -
Knowledge Integration Mechanisms, Organizational Capabilities, and Factors of Knowledge Worker Productivity : A Selective Study of Indian Software Firms
(2018-08-11)The importance of knowledge in organizations has been steadily growing. Traditional economies focused on land, labour, and capital as their main production factors, and saw knowledge as external to the economic process. ... -
Knowledge Intensive Jobs & Well-Being of Knowledge Professionals : Development and Validation of a Multi-Construct Framework in the Indian Context
(2018-03-08)Managing knowledge work and knowledge workers is of growing importance in theory as well as in practice. Organizations are continuously evolving value added work. It is observed over a period of time, that manual work is ... -
Landmark Estimation and Image Synthesis Guidance using Self-Supervised Networks
The exponential rise in the availability of data over the past decade has fuelled research in deep learning. While supervised deep learning models achieve near-human performance using annotated data, it comes with an ... -
Large Area MoS2 : Growth and Device Characteristics
(2018-06-26)There has been growing interest in two-dimensional (2-D) crystals beyond graphene for next-generation nano-electronics. Transition metal dichalcogenides have been most widely studied, for their semiconducting characteristics ... -
Large Enhancement in Metal Film Piezoresistive Sensitivity with Local Inhomogenization for Nanoelectromechanical Systems
(2018-04-12)High performance and low cost sensors based on microelectromechanical systems (MEMS) have become commonplace in today's world. MEMS sensors, such as accelerometers, gy- roscopes, pressure sensors, and microphones, are ... -
Learning Across Domains: Applications to Text-based Person Search and Multi-Source Domain Adaptation
With rapid development in technology and ubiquitous presence of diverse types of sensors, a large amount of data from different modalities (e.g., text, audio, images etc.) describing the same person/ object/event has ... -
Learning Compact Architectures for Deep Neural Networks
(2018-05-22)Deep neural networks with millions of parameters are at the heart of many state of the art computer vision models. However, recent works have shown that models with much smaller number of parameters can often perform just ... -
Learning to Perceive Humans From Appearance and Pose
Analyzing humans and their activities takes a central role in computer vision. This requires machine learning models to encapsulate both the diverse poses and appearances exhibited by humans. Estimating the 3D poses of ... -
Leveraging KG Embeddings for Knowledge Graph Question Answering
Knowledge graphs (KG) are multi-relational graphs consisting of entities as nodes and relations among them as typed edges. The goal of knowledge graph question answering (KGQA) is to answer natural language queries posed ... -
Leveraging Resources For Strategic Organizational Renewal A Co-Evolutionary Perspective
(2010-07-23)Multiple strategic discontinuities of the constantly changing business environment are driving organizations, both large and small to seek new ways of conducting business to create wealth. The only way organizations can ... -
Liquid jet injection into a supersonic crossflow: Influence of jet orifice shape on penetration and atomization
Liquid jet injection into supersonic crossflow is one of the conceptually simple ways of fuel atomization in SCRAMJET engines. The success of these engines demands the efficient mixing of incoming supersonic air and the ... -
Long-Running Multi-Component Climate Applications On Grids
(2013-10-04)Climate science or climatology is the scientific study of the earth’s climate, where climate is the term representing weather conditions averaged over a period of time. Climate models are mathematical models used to ... -
Low Overhead Soft Error Mitigation Methodologies
(2018-03-06)CMOS technology scaling is bringing new challenges to the designers in the form of new failure modes. The challenges include long term reliability failures and particle strike induced random failures. Studies have shown ... -
Malware Analysis using Profile Hidden Markov Models and Intrusion Detection in a Stream Learning Setting
(2018-02-18)In the last decade, a lot of machine learning and data mining based approaches have been used in the areas of intrusion detection, malware detection and classification and also traffic analysis. In the area of malware ... -
Materials, Processes and Device Design for High Performance, Sub-thermionic MoS2 FETs
The shrinking of the field-effect transistor (FET), commonly termed CMOS scaling, has revolutionised the semiconductor industry and impacted most aspects of human life. However, this decades-long successful trend of scaling ... -
Measurement of the viral phenomenon: New methodological exploration
Viral phenomenon in marketing refers to the rapid growth and adoption pattern of a product, akin to a biological virus. Viral phenomenon can be defined as “a word-of-mouth diffusion process wherein a message is actively ...