Transmit power control and data rate enhancement in cognitive radio network using computational intelligence

Underutilized radio frequencies are the chief apprehension in advance radio communication. The radio recourses are sparse and costly and their efficient allocation has become a challenge. Cognitive radio networks are the ray of hope. Cognitive radio networks use dynamic spectrum access technique to opportunistically retrieve and share the licensed spectrum. The licensed users are called primary users and the users that opportunistically access the licensed spectrum all called secondary users. The proposed system is a feedback system that work on demand and supply concept, in which secondary receivers senses the vacant spectrum and shares the information with the secondary transmitters. The secondary transmitters adjust their transmission parameters of transmit power and data rate in such a way that date rate is maximized. Two methods of spectrum access using frequency division multiple access (FDMA) and Time division multiple access (TDMA) are discussed. Interference temperature limit and maximum achievable capacity are the constraints that regulate the entire technique. The aim of the technique is to control the transmitter power according to the data requirements of each secondary user and optimizing the resources like bandwidth, transmit power using machine learning and feed forward back propagation deep neural networks making full use of the network capacity without hampering the operation of primary network

Design, innovation and case-based reasoning.

The design task is especially appropriate for applying, integrating, exploring and pushing the boundaries of case-based reasoning. In this paper, we briefly review the challenges that design poses for case-based reasoning and survey research on case-based design ranging from early explorations to more recent work on innovative design. We also summarize the theoretical contributions this research has made to case-based reasoning itself

Mutual Theory of Mind for Human-AI Communication

From navigation systems to smart assistants, we communicate with various AI on a daily basis. At the core of such human-AI communication, we convey our understanding of the AI's capability to the AI through utterances with different complexities, and the AI conveys its understanding of our needs and goals to us through system outputs. However, this communication process is prone to failures for two reasons: the AI might have the wrong understanding of the user and the user might have the wrong understanding of the AI. To enhance mutual understanding in human-AI communication, we posit the Mutual Theory of Mind (MToM) framework, inspired by our basic human capability of "Theory of Mind." In this paper, we discuss the motivation of the MToM framework and its three key components that continuously shape the mutual understanding during three stages of human-AI communication. We then describe a case study inspired by the MToM framework to demonstrate the power of MToM framework to guide the design and understanding of human-AI communication.Comment: 7 pages, 4 figure

Hysteresis Models for Steel Members Subjected to Cyclic Buckling or Cyclic End Moments and Buckling (User's Guide for Drain-2d:EL9 and EL10)

https://deepblue.lib.umich.edu/bitstream/2027.42/154132/1/39015094008078.pd

SoD-TEAM: Teleological reasoning in adaptive software design

Issued as final reportNational Science Foundation (U.S.

Women in Nuclear Science & Technology in India: Challenges & Opportunities

Women have been actively contributing toward frontline research and development of various advanced technologies in the nuclear domain and playing a crucial role in key positions. However, proportional representation of women in various decision-making positions at higher levels in politics, diplomacy, military affairs, science, and technology remains low, and most of these positions remain male-dominated. We see that women often find it difficult to achieve leadership roles for several reasons, but often from an implicit bias in society. The stereotypical image of women in society is still propagated very discreetly. In recent times, Indian women have made big strides in several frontline sectors like Information Technology (IT), Biotechnology, and on corporate levels. More recently, organizations, including the Indian government, have been promoting an awareness of gender equality in various fields including nuclear technology. Amity University has also been motivating women academicians to take a lead in various fields including nuclear technology and nuclear security. This paper describes various initiatives that the Government of India has taken, along with many Indian organizations, including Amity University, to promote women in various fields especially in nuclear technology. This paper also discusses the opportunities for Indian women, their contributions, and challenges

KA : Situating Natural Language Understanding in Design Problem Solving

In this paper, we investigate the interaction between linguistic and ncn-linguistic processes by considering the role of functional reasoning in understanding design specifications written in natural language. W e desaibe KA , an experimental modelbased interpretation and design system which understands English language descriptions of the design problems it solves, and examine whether KA's problem-solving amiabilities help i) ascertain the relevance of ambiguous design ^lecifications and ii) identify unspecified relations between design requirements. Our results demonstrate that augmenting language processing with the ability to reason about function along the lines suggested in K A provides effective solutions to these problems in particular as well as to other problems in natural language understanding