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Articles by K. Raja
Total Records ( 10 ) for K. Raja
  S. Kumanan and K. Raja
  Traditional project management tools and other revised tools are limited in representation of the problem and in dealing situation dynamically. This paper details the use of Petri nets as a graphical and mathematical modeling and simulation tool in project management. In this context, the benefits of Petri nets are indicated. A Petri net aided software, a PETRI-PM is developed to model, simulate and analyze the project. Extensions to make Petri nets suitable for project management applications are proposed. The use of a PPC-matrix for token movements is proposed. The paper also discusses the implications of the model and the analysis it supports. The usefulness of the software is exemplified with a case study.
  K. Raja and S. Kumanan
  The problem of scheduling activities dynamic for a project, within the available resources and adhering to precedence relationships is NP hard combinatorial. Traditional approaches and their extensions are limited in application for simultaneous scheduling of resources with leveling. Considering the need for improved modeling and scheduling techniques, this paper proposes the use of Petrinet based approach aided by memetic algorithm. Manufacturing projects involving either a single or multi resources can be optimally leveled and scheduled. The effectiveness of this approach is demonstrated with case studies.
  R. Jerlin , C. Menaka , K. Raja , K. Rama Moorthy and P. Tamilkumar
  An investigation was carried out to find out the optimum sieve size for size grading of seeds of olitorius jute cv. JRO 524 and JRO 8432. Pre cleaned seeds of both the cultivars were size graded using BSS 12x12, BSS 14x14 and 16x16 wire mesh sieves. The jute cv. JRO 524 seeds graded with BSS 16x16 recorded high seed recovery (59.45%) than other sieves used with required germination (96%), seedling length (11.75 cm), drymatter production (7.5 mg/10 seedlings) and vigour index (1132). The same trend was also observed in JRO 8432. Hence, seeds of olitorius jute cv. JRO 524 and JRO 8432 could be size graded using BSS 16x16 sieves for more seed recovery with required seed quality standards.
  M. Sudhakar , K. Raja , G. Anathan and P. Sampathkaumar
  The proximate composition (Protein, Carbohydrate and lipid), fatty acids, amino acids and minerals contents were investigated in P. vigil. The aim of this study was to demonstrate the nutritive value of P. vigil crab. The protein, carbohydrate and lipid contents were found (19.5, 1.57 and 1.38%), respectively. Totally 18 amino acids was found, among 10 essential amino acids 9 were recorded and non essential amino acids 9 was reported. The essential and non essential amino acid were totally contributed (8.93 and 10.393 g/100 g), respectively. Fatty acids were analyzed, saturated fatty acids (palmitic acid 0.8141% and stearic acid 0.297%), monounsaturated fatty acid (oleic acid 0.9912%) and polyunsaturated fatty acid (Linoleic acid 1.112% and alpha-linoleic acid 0.7065%) was recorded. Finally, 9 minerals were analyzed (Ca> P> I> Na> K> Cu> Mn> Zn) among these calcium was maximum (15.67 mg g-1) and manganese was minimum (0.2121 mg g-1). The results showed that P. vigil crab is a nutritious food.
  K. Raja and S. Saravanan
  The study presents a error tolerant Flip-Flop design for pipeline Architecture for SOC. The proposed design uses the Error Detection and Correction (EDC) technique to achieve the goal. The design is applicable to all pipeline architectures. The proposed research uses the pulse generator and metastability detector to design the error tolerant pipeline. Timing failures induce delayed responses at the outputs of combinational logic circuits which leads to timing error. The research proposes the timing dilation correction circuit like after error detection the evaluation time for the logic is automatically extended by a single clock cycle for error correction using correct and valid data stored in each Flip-Flop. The proposed Error Detection and Correction (EDC) circuit is implemented using a pulse generator, D-flipflop, Xor and Latch. The implementation is performed in The power analysis is done through LTSpice tool in PTM 90 nm technology.
  S. Venkatachalam , C. Arumugam , K. Raja and V. Selladurai
  Any manufacturing system has to attain key performance measures for its successful operation. Quality Function Deployment (QFD) is to convert the customer requirements into quality characteristics and develop a schedule for the jobs by systematically deploying the relationships between the due date and the completion time by adopting the just in time concept. Non-traditional optimization technique such as Neural Network (NN) technique provides a complete solution methodology for solving the shop floor scheduling problems. The problem considered in this study is to schedule different number of jobs on parallel machines with the objective of reducing the multiple objectives such as the earliness, the tardiness and the completion time of the jobs. All the objectives have been assigned with weights so that the priority of the objectives could be varied. It has been found that the proposed method simultaneously reduces all the performance measures considerably, thereby outperforming the existing heuristics.
  K. Raja and S.K. Srivatsa
  This study explores the possibility of adding Knowledge Based Cognitive Psychology assessment within the Group Decision Making and outlines some of the necessary guidance for designing a Knowledge Based Group Decision Support System (KBGDSS). This framework is using intelligent agent communication and graphical user interface. This prototype, which consists of a data base, knowledge base, model base and agent communication language along with the graphical user interface, will help the group of decision makers to select and solve the problem. The end result is a system that will dynamically adapt to the person using it. The system will be able to identify the nature of the decision-maker currently involved in the process and provide him/her with solutions specifically tailored to that person’s unique mental composition.
  M. Karuppaiyan and K. Raja
  This research describes two new records of the Asteroidea Calliaster childerni Gray, 1840 and Pentaceraster horridus Gray, 1840, from the Bay of Bengal. A detailed description of the little known species of given in to photographs.
  K. Raja and S.K. Srivatsa
  Many critical decision-making situations happen in a dynamic, rapidly changing and often unpredictable distributed environment. In such situations, we need highly decentralized, up-to-date data sets from various resources. Unlike other conventional decision-making tools, Decision Support Systems (DSS) designed for such situations are challenged by the need to access this decentralized information overcoming all spatial and temporal constraints, while still exhibiting a high degree of collaborative activity. This study proposes a new approach to DSS in such contexts. Its main contribution is the integration of the co-operative nature of Group DSS (GDSS) with the decentralized advantages of distributed data management. This framework utilizes intelligent agent communication and a graphical user interface. The prototype, comprising a distributed database management system and the standard enabling architecture of a Group Decision Support System, will seek to evolve the existing DSS methodologies into one that lays emphasis on collaborative decision-making using data from diverse sources.
  K. Raja , Olivia J. Fernando , R. Thavasi , S. Jayalaksmi and T.Balasubramanian
  The bacterial population of water from the Marine Research Aquarium was examined qualitatively and quantitatively. Lower concentrations (1.3x102) were found in the initial phase of the aquarium tank and increased moderately day by day. A total of 1109 strains were isolated from 30 water samples. The isolates comprised of 16 species 10 genera; 86.65% of these isolates were gram-negative rods. The Vibrio isolates comprised 48.9% of the total population. The generic compositions of the bacterial isolates were Flavobacterium, Pseudomonas, Salmonella, Bacillus, Staphylococcus, Alcaligenes, Aeromonas, Enterobacter and Cytoplaga. The results show that the survival rate of the fish species Pomacanthus imperator, P. semicirculatus, Chaetodon collare, C. vagabundus, C. plebius are poor probably due to abundance of the Vibrio population. The higher concentration of other genera may also increases the mortality rate among these ornamental fishes. Majority of the bacterial strains isolated are also considered as human pathogens.
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