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AKASHVANI
"Akashvani" (English) is a programme journal of ALL INDIA RADIO, it was formerly known as The Indian Listener. It used to serve the listener as a bradshaw of broadcasting ,and give listener the useful information in an interesting manner about programmes, who writes them, take part in them and produce them along with photographs of performing artists. It also contains the information of major changes in the policy and service of the organisation. The Indian Listener (fortnightly programme journal of AIR in English) published by The Indian State Broadcasting Service, Bombay, started on 22 December, 1935 and was the successor to the Indian Radio Times in English, which was published beginning ...
Miniaturized Electrochemical Devices
Evidently, electrochemical sensing has revolutionized the electroanalytical detections in the world. Since the 19th century, a huge amount of growth has been visible on various fronts, such as biosensors, energy devices, semiconductor devices, communication, embedded systems, sensors etc. However, the major research gap lies in the fact that most of the reported literatures are bulk systems; hence there are limitations for practical applications. Research in these domains has been carried out by both academia and industry, whereby academics is the backbone whose intellectual outputs have been widely adopted by the industry and implemented for consumers at large. In order to impart portabilit...
Distributed Energy Resources and Electric Vehicle
Explore the prospective developments in energy systems and transportation through an in-depth examination of Distributed Energy Resources and Electric Vehicle: Analysis and Optimisation of Network Operations . This innovative publication explores the realm of renewable energy, electric vehicles, and their in uence on network operations, offering valuable perspectives for readers from diverse disciplines. This extensive publication delves into the complex interplay between distributed energy resources (DERs) and electric vehicles (EVs), as well as their incorporation into established power grids. The subject matter encompasses a diverse array of topics, encompassing the attributes and advanta...
Paradise
We live in two worlds – One is outer world where eve- rything is in action and the other is inner world where everything is getting created: our thoughts. Outer worlds have lots of challenges and so many things to accomplish but in Inner world we create everything that is going to happen in outer world. Everything that is happening outside is first created in our mind, in our thoughts – Good or Bad. Paradise is not just the happy world outside, having all facilities, all privileges, all material things. Though nothing wrong in having everything but considering it the world, is where we are mistaken. Outer situations will come every moment, but it is up to us how we look at the things in our inner world. What we say to our- selves, decides how we are going to approach to the situation or deal with it. In worst situation we can be calm and peaceful and deal with the situations very el- egantly but sometimes in pleasant situations we are ar- rogant or restless and we ruin the situation. Its upto us how we see the things. We influence the situation ra- ther than situations or people lead or influence us.
Neural Information Processing
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Advances in Artificial Intelligence
The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully reviewed and selected from numerous submissions. The first volume includes 50 papers representing the current main topics of interest for the AI community and their applications. The papers are organized in the following topical sections: automated reasoning and multi-agent systems; problem solving and machine learning; natural language processing; robotics, planning and scheduling; and medical applications of artificial intelligence.
Serving Library Users from Asia
Asian populations are among some of the fastest growing cultural groups in the US. While books on serving other target groups in libraries have been published (e.g., disabled, Latino, seniors, etc.), few books on serving library users of Asian heritage have been written. Thus the timely need for this book. Rather than a generalized overview of Asians as a whole, this book has 24 separate chapters—each on 24 specific Asian countries/cultures of East, Southeast, and South Asia—with a wealth of resources for understanding, interacting with, outreaching to, and serving library users of each culture. Resources include cultural guides (both print and online), language helps (with sample librar...
Advances in Soft Computing
The two-volume set LNAI 7094 and 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully selected from XXX submissions. The second volume contains 46 papers focusing on soft computing. The papers are organized in the following topical sections: fuzzy logic, uncertainty and probabilistic reasoning; evolutionary algorithms and other naturally-inspired algorithms; data mining; neural networks and hybrid intelligent systems; and computer vision and image processing.
