Analysis of tables and recomendstion _graphs_ mean _varaince _ST Essay

Analysis of tables and recomendstion _graphs_ mean _varaince _ST - Essay Example report, therefore, recommends that the municipality should focus its resources on the lands and housing sector, free toll and helpdesk channels and its improving trend. Al Ain municipality is a local authority in Al Ain city whose roles includes provision of public utility services to the city’s community through its call centre. Application of descriptive statistics is therefore essential in understanding the municipality’s operations (Abu Dhabi 1; Mimmack, Manas and Meyer, 3-27). The descriptive statistics for reported cases, by channel, identifies an increment in report from a mean of 282.75 of the first half of the year to a mean of 332.43 in the second half, an indication of increased activity in the call center in the second period. The trend is associated with increase in standard deviation. The sector analysis, on the other hand, shows that most of the reported cases in the year 2011 were complaints with inquiries forming the least of reported cases. The pie chart for the number of cases reported between January and July identifies free toll and helpdesk as the majorly used channels. The same trend is observed in the second half of the year. Distribution of cases by sector, on the other hand, identifies housing and lands with the highest number of cases with information cases forming the highest correspondents. The charts for distribution of cases by sectors per month also identify information as the major contributor to the municipal reported cases. While the average response duration decreases with time, the average number of assigned cases increases with time across the year 2011. Analysis of the data shows that the municipal is effective in pursuing its role that includes provision of support to development initiatives. Lands, and housing sector, free toll, and help desk channels are the most active sections. The descriptive statistics also shows higher reported cases in the second half of the year than in the first half. The charts further

Technology - Voice Recognition Essay Example | Topics and Well Written Essays - 1500 words

Technology - Voice Recognition - Essay Example The historical development of speech recognition technology spans at least 50 years. These years can be divided into decades, which most researchers would identify as generations. The 1950s and the 1960s was the period of first generation speech recognition technologies. The market condition for the technology during and immediately preceding periods was not favorable because it was only during the latter part of the 1990s when the technology became cheap and made available to many consumer markets. The late 1960s through the 1970s saw the second-generation technology; the late 1970s through 1980s were for the third generation and so forth. One of the earliest speech recognition technologies include the system for isolated digit recognition developed by the American company Bell Laboratories as well as the technology developed by RCA Laboratories that recognized distinct syllables spoken by a speaker. (Chen and Jokinen, 2010, p. 2) These technologies, including the succeeding attempts of various laboratories were classified as Automatic Speech Recognition or ASR systems, which are primarily based on acoustic phonetic systems. The second generation technologies entailed several breakthroughs. Most of the systems developed used dynamic programming methods such as the Viterbi algorithm, which became indispensable technique in ASR. (Chen and Jokinen, p. 3) Many companies began developing their own speech recognition technologies such as IBM and others companies overseas such as Japan and the then Soviet Union. By 1980s, the third generation has already perfected technologies that that could recognize a fluently spoken stri ng of connected word in addition to the development of various other models such as the statistical modeling and the continuous speech recognition concept developed by DARPA. (p. 4) From the 1990s to the present the development became robust as other technologies that