Solutions to I.E. Irodov's problems in General Physics, available in two volumes, are meant for those dedicated physics students who face the challenge of solving numerical problems, particularly JEE (Main & Advanced) aspirants. The two volumes provide the complete solutions for each of the 1878 problems in I.E. Irodov's problems in General Physics. The solutions presented in this book are crisp, and guaranteed to make you think beyond the box. This book is exactly what you need to establish a strong foundation for discovering the beauty of physics and cracking any entrance exam in India.
Discovering Artificial Economics is an informal introduction to the ideas of modern systems theory and self-organization as they apply to problems in the economic realm. David Batten interleaves anecdotes and stories with technical discussions, in order to provide the general reader with a good feel for how economies
We present a method to discover robust and interpretable sociolinguistic associations from raw geotagged text data. Using aggregate demographic statistics about the authors’ geographic communities, we solve a multi-output regression problem between demographics and lexical frequencies.
A standard form of analysis for linguistic typology is the universal implication. These implications state facts about the range of extant languages, such as “if objects come after verbs, then adjectives come after nouns.” Such implications are typically discovered by painstaking hand analysis over a small sample of languages. We propose a computational model for assisting at this process. Our model is able to discover both well-known implications as well as some novel implications that deserve further study.
Speech recognition problems are a reality in current spoken dialogue systems. In order to better understand these phenomena, we study dependencies between speech recognition problems and several higher level dialogue factors that define our notion of student state: frustration/anger, certainty and correctness. We apply Chi Square (χ2) analysis to a corpus of speech-based computer tutoring dialogues to discover these dependencies both within and across turns.
Semantic relatedness is a very important factor for the coreference resolution task. To obtain this semantic information, corpusbased approaches commonly leverage patterns that can express a speciﬁc semantic relation. The patterns, however, are designed manually and thus are not necessarily the most effective ones in terms of accuracy and breadth. To deal with this problem, in this paper we propose an approach that can automatically ﬁnd the effective patterns for coreference resolution.
We expect the overall trend of declining household size to persist.
This is supported by an analysis of a panel of 38 countries over
time: by the year 2027 on average 3.8 people will live in a Turkish
household – still significantly more than in west European house-
Furthermore, we have assumed a slowdown in migration as push
and pull factors for moving are weakening.
Sustainable development has been one of the alarming concerns in the twenty-first
century. Anderson and Brooks (1996) discus how given the fact that “the supply of most
natural resources and environment services” are limited, it is of urgent concern to monitor
and control resource usage for one to even hope for continued economic activity in the years
to come. Furthermore, the incessant population and per capita growth exacerbates the
problem as they are indicative of the continuous growth in economic activity (Anderson &
Similarly, looking at the database of human health, total outpatient (OPD) visits, and
the percentage shared by the respiratory disease (ARI) for two years, it quite clearly
reflects the increasing trend of respiratory disease. From 1996 till 1998, number of
ARI patient is increasing at the rate of 22.89 percent per year. Similarly, share of ARI
patient out of total OPD visit has been increased from 9.99 to 10.11 percent within
the same span of time.
In , the problem of discovering sequential patterns
over large databases of customer transactions is considered.
The proposed algorithms generate a data sequence for each
customer from the database and search on this set of se-
quences for a frequent sequential pattern. For example, the
algorithms can discover that customers typically rent “Star
Wars,” then “Empire Strikes Back,” and then “Return of the
The study of graphic design history, in terms of its influential position in western
societies, is crucial to the relevance of contemporary graphic design – to provide a
comprehension of why things are the way they are, and how they came to be that way. Cultural
progressions, political events, societal developments, and technological advancements shape and
drive our way of life. Throughout history, graphic design has played an influential role in giving
a visual voice to these narratives. In short, “graphic design history is world history”2
Tracking system status is one thing. Solving discovered problems is another. Systems Director is designed
to help you accomplish both.
Using the Scoreboard, you can identify the number of systems with problems in your data center. The
ability to drill down to view the speciﬁc problems on a system is intuitively integrated into the Health
Summary view (and throughout Systems Director). This display reﬂects any known problems with your
hardware, as well as triggered threshold monitors, in a single status overview.
We do the research that identifies causes of
disease and disability. We advocate for solutions.
We consult with policymakers and
provide them with the evidence they need
to make change. We roll our sleeves up and
get to work in communities by influencing
policies, identifying trends, implementing
solutions, and increasing healthy behavior.
Our work happens on a molecular level, and
on a population-wide level. Microbiologists
work to find a vaccine for malaria, while
behavioral scientists research ways to
discourage populations from smoking.
In some event detection applications, events of interest
occur over a relatively small proportion of the total time:
e.g. alarm generation in surveillance systems, and extrac-
tive summarization of raw video events. The automatic de-
tection of temporal events that are relevant, but whose oc-
currence rate is either expected to be very low or cannot be
anticipated at all, constitutes a problem which has recently
attracted attention in computer vision and multimodal pro-
cessing under an umbrella of names (abnormal, unusual, or
rare events) [17, 19, 6].
Parsing systems which rely on hand-coded linguistic descriptions can only perform adequately in as far as these descriptions are correct and complete. The paper describes an error mining technique to discover problems in hand-coded linguistic descriptions for parsing such as grammars and lexicons. By analysing parse results for very large unannotated corpora, the technique discovers missing, incorrect or incomplete linguistic descriptions. The technique uses the frequency of n-grams of words for arbitrary values of n.
Chapter 2 - From problem analysis to program design. In this chapter, you will: Become familiar with the basic components of a C++ program, including functions, special symbols, and identifiers; explore simple data types; discover how to use arithmetic operators; examine how a program evaluates arithmetic expressions;…
After completing this unit, you should be able to: Learn about control structures; examine relational and logical operators; explore how to form and evaluate logical (boolean) expressions; discover how to use the selection control structures if, if...else, and switch in a program; learn to use the assert function to terminate a program;...
In this chapter, you will: Learn about repetition (looping) control structures; explore how to construct and use count-controlled, sentinel-controlled, flag-controlled, and eof-controlled repetition structures; examine break and continue statements; discover how to form and use nested control structures;…
Lecture C++ programming: from problem analysis to program design - Chapter 6: User-defined functions I. In this chapter, you will: Learn about standard (predefined) functions and discover how to use them in a program; learn about user-defined functions; examine value-returning functions, including actual and formal parameters; explore how to construct and use a value-returning, user-defined function in a program.
In this chapter, you will: Learn how to construct and use void functions in a program, discover the difference between value and reference parameters, explore reference parameters and value-returning functions, learn about the scope of an identifier, examine the difference between local and global identifiers, discover static variables, learn function overloading, explore functions with default parameters.