G. Andal Jayalakshmi

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TRAVELING SALESMAN PROBLEM G.ANDAL JAYALAKSHMI Computer Science and Engineering Department, Thiagarajar College of Engineering, Madurai, Tamilnadu, India Email: andal_m@yahoo.com S.SATHIAMOORTHY Computer Science and Engineering Department, Thiagarajar College of Engineering, Madurai, Tamilnadu, India Email: s.sathiamoorthy@sify.com and R.RAJARAM Information(More)
A case of phaeohyphomycosis presenting as multiple subcutaneous abscesses in a young lady with deteriorating liver function was reported here. The lesion started as a solitary abscess in the neck, mimicking tuberculous cold abscess and rapidly involved the face, chest, arms, and legs within six months with ulceration and discharge of thick brownish foul(More)
Myroides spp and Chryseobacterium spp are uncommon clinical isolates, though more frequently reported to cause infections than other pigmented non-fermentors. Two cases of Myroides odoratus and Chryseobacterium indologenes infection in a diabetic with pulmonary tuberculosis and a patient with de-compensated alcoholic liver disease, respectively, are(More)
Microbiologists play a pivotal role in the prevention of infection both at hospital and community level. Biomedical waste management (BMWM) is one of the aspects of infection control. For the effective implementation of this, various training programmes have been conducted at our regional training centre. This study evaluates the impact of the BMWM training(More)
Global routing for VLSI circuits has received wide attraction. In this paper we have presented a Hybrid CHC (HCHC) genetic algorithm for global routing. The hybridization is required for initializing population with feasible solutions. The CHC algorithm is used for evolution. The algorithm was tested for standard test problems and compared with a simple GA.(More)
This paper presents a new algorithm for the mobile robot path planning problem. The algorithm presented here applies an initialization heuristics and new operators to solve this problem and discusses how the operators are tuned to perform better. The algorithm adapts itself by tuning its operator probabilities according to the characteristics of the path(More)
Occupational exposure poses a significant risk of transmission of blood-borne pathogens to healthcare workers (HCWs). Adherence to standard precautions, awareness about post exposure prophylaxis is poor in developing countries. This retrospective study analyzes the self-reported cases of occupational exposure in a tertiary care hospital. During the study(More)
Pneumonia is one of the most common public health infectious disease and one of the major cause of morbidity and mortality in elderly and immunocompromised(IC) patients. The mortality rate increases considerably when pneumonia is associated with the development of complications. This study is conducted to identify the current patterns of Community Acquired(More)
Association rule mining is to find out association rules that satisfy the predefined minimum support and confidence from a given database. End users of association rule mining tools encounter several in practice when data bases come with binary attributes. In this paper, we introduce a new measure, which does not require initially allotted weights .The(More)