A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm

An electronic nose (E-nose) is an intelligent system that we will use in this paper to distinguish three indoor pollutant gases (benzene (C6H6), toluene (C7H8), formaldehyde (CH2O)) and carbon monoxide (CO). The algorithm is a key part of an E-nose system mainly composed of data processing and pattern recognition. In this paper, we employ support vector machine (SVM) to distinguish indoor pollutant gases and two of its parameters need to be optimized, so in order to improve the performance of SVM, in other words, to get a higher gas recognition rate, an effective enhanced krill herd algorithm (EKH) based on a novel decision weighting factor computing method is proposed to optimize the two SVM parameters. Krill herd (KH) is an effective method in practice, however, on occasion, it cannot avoid the influence of some local best solutions so it cannot always find the global optimization value. In addition its search ability relies fully on randomness, so it cannot always converge rapidly. To address these issues we propose an enhanced KH (EKH) to improve the global searching and convergence speed performance of KH. To obtain a more accurate model of the krill behavior, an updated crossover operator is added to the approach. We can guarantee the krill group are diversiform at the early stage of iterations, and have a good performance in local searching ability at the later stage of iterations. The recognition results of EKH are compared with those of other optimization algorithms (including KH, chaotic KH (CKH), quantum-behaved particle swarm optimization (QPSO), particle swarm optimization (PSO) and genetic algorithm (GA)), and we can find that EKH is better than the other considered methods. The research results verify that EKH not only significantly improves the performance of our E-nose system, but also provides a good beginning and theoretical basis for further study about other improved krill algorithms’ applications in all E-nose application areas

Understanding Earth’s Polar Challenges:International Polar Year 2007-2008. Summary by the IPY Joint Committee.

The International Polar Year (IPY) 2007–2008, co-sponsored by ICSU and WMO, became the largest coordinated research program in the Earth’s polar regions, following in the footsteps of its predecessor, the first and second International Polar Years in 1881-1883 and 1932-1933 and the International Geophysical Year 1957–1958. The summary "Understanding Earth's Polar Challenges: International Polar Year 2007-2008" captures the context, motivations, initiation, planning, implementation and the outcomes of the International Polar Year (IPY) 2007–2008, as well as the lessons derived from this key undertaking

Understanding Earth's Polar Challenges: International Polar Year 2007-2008 - Summary by the IPY Joint Committee

The International Polar Year (IPY) 2007–2008, co-sponsored by ICSU and WMO, became the largest coordinated research program in the Earth’s polar regions, following in the footsteps of its predecessor, the first and second International Polar Years in 1881-1883 and 1932-1933 and the International Geophysical Year 1957–1958. An estimated 50,000 researchers, local observers, educators, students, and support personnel from more than 60 nations were involved in the 228 international IPY projects (170 in science, 1 in data management, and 57 in education and outreach) and related national efforts. IPY generated intensive research and observations in the Arctic and Antarctica over a two-year period, 1 March 2007–1 March 2009, with many activities continuing beyond that date. The summary "Understanding Earth's Polar Challenges: International Polar Year 2007-2008" captures the context, motivations, initiation, planning, implementation and the outcomes of the International Polar Year (IPY) 2007–2008, as well as the lessons derived from this key undertaking

The Music Sound

A guide for music: compositions, events, forms, genres, groups, history, industry, instruments, language, live music, musicians, songs, musicology, techniques, terminology , theory, music video. Music is a human activity which involves structured and audible sounds, which is used for artistic or aesthetic, entertainment, or ceremonial purposes. The traditional or classical European aspects of music often listed are those elements given primacy in European-influenced classical music: melody, harmony, rhythm, tone color/timbre, and form. A more comprehensive list is given by stating the aspects of sound: pitch, timbre, loudness, and duration. Common terms used to discuss particular pieces include melody, which is a succession of notes heard as some sort of unit; chord, which is a simultaneity of notes heard as some sort of unit; chord progression, which is a succession of chords (simultaneity succession); harmony, which is the relationship between two or more pitches; counterpoint, which is the simultaneity and organization of different melodies; and rhythm, which is the organization of the durational aspects of music