120 research outputs found

    Skyline Chili: A Case for Small Business Growth and Management

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    Skyline Chili produces the secret-recipe chili for its restaurants and several frozen chili products for local grocery stores in Cincinnati, Ohio and other areas. An interview with Mr. Kevin McDonnell, new CEO of Skyline Chili in the case discusses the past, present, and future of the company.  Can the company sustain its growth and competitiveness in the 1990s?  If so, what can you recommend for the company

    Teaching Note: Suggestions for Using the Skyline Chili Case

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    Harnessing the BOP Ecosystems of China and India for Competitive Advantage

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    Case study on Vrischika Damsha managed with Arkapatra Ghrita Dhara and Dasanga Agada

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    Many people die every year because of venomous animal bites and stings. Among venomous stings, scorpion stings are a major cause of global public health issues associated with substantial morbidity and mortality. Worldwide, only about 30 of the estimated 1500 species of scorpions produce venom toxic enough to be fatal. Signs and symptoms at the site of a scorpion sting may include pain, which can be intense, numbness, tingling, slight swelling and warmth. The clinical manifestations seen in scorpions seem like Vrischika Damsha in Agadatantra. This is a case study of a scorpion sting with acute symptoms of pain, burning sensation and erythema. Based upon the result of the study Arkapatra Ghrita Dhara has shown assuring results in the management of acute scorpion envenomation

    Tom and Jerry Based Multipath Routing with Optimal K-medoids for choosing Best Clusterhead in MANET

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    Given the unpredictable nature of a MANET, routing has emerged as a major challenge in recent years. For effective routing in a MANET, it is necessary to establish both the route discovery and the best route selection from among many routes. The primary focus of this investigation is on finding the best path for data transmission in MANETs. In this research, we provide an efficient routing technique for minimising the time spent passing data between routers. Here, we employ a routing strategy based on Tom and Jerry Optimization (TJO) to find the best path via the MANET's routers, called Ad Hoc On-Demand Distance Vector (AODV). The AODV-TJO acronym stands for the suggested approach. This routing technique takes into account not just one but three goal functions: total number of hops. When a node or connection fails in a network, rerouting must be done. In order to prevent packet loss, the MANET employs this rerouting technique. Analyses of AODV-efficacy TJO's are conducted, and results are presented in terms of energy use, end-to-end latency, and bandwidth, as well as the proportion of living and dead nodes. Vortex Search Algorithm (VSO) and cuckoo search are compared to the AODV-TJO approach in terms of performance. Based on the findings, the AODV-TJO approach uses 580 J less energy than the Cuckoo search algorithm when used with 500 nodes

    Robustness of Phase based Features for Speaker Recognition

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    This paper demonstrates the robustness of group-delay based features for speech processing. An analysis of group delay functions is presented which show that these features retain formant structure even in noise. Furthermore, a speaker verification task performed on the NIST 2003 database show lesser error rates, when compared with the traditional MFCC features. We also mention about using feature diversity to dynamically choose the feature for every claimed speaker

    Robustness of Group Delay Representations for Noisy Speech Signals

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    This paper demonstrates the robustness of group delay based features to additive noise. First, we analytically show the robustness of group delay based represen- tations. The analysis makes use of the fact that, for minimum-phase signals, the group delay function can be represented in terms of the cepstral coefficients of the log-magnitude spectrum. Such a representation results in the speech spectrum dominating over the noise spectrum, both at low and high SNRs. Further, we ex- perimentally demonstrate the robustness of the representation on a voice activity detection (VAD) task, comparing a group delay based VAD algorithm with standard VAD methods as well as a magnitude-spectrum based method
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