computational linguistics in india
Báo cáo y học: "Study of urban community survey in India: growing trend of high prevalence of hypertension in a developing country"
... 2, Arindam Basu 3 1 Dept Of Neuromedicine, Bangur Institute Of Neurology, Kolkata, India. 2 Malda District Hospital, Malda, India. 3 Fogarty Training Program, IPGMER, Kolkata, India. AAbbssttrraacctt ... returned to India in 2000, and continued to work as a consultant otolaryngologist and epidemiologist. In 2002, he joined the UC Berkeley based Fogarty International Training Program in Environmental ... subtypes in an Indian rural population: clinical and electrocardiographic correlates. J Hum Hypertens. 1994; 11: 823-829. 15. Chopra RN, Chopra GS. A study of normal blood pressure in Indians. Indian...
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Computational Intelligence In Manufacturing Handbook P3
... holonicconcepts into a manufacturing setting: Holon: An autonomous and cooperative building block of a manufacturing system for transforming,transporting, storing, and/or validating information ... min{an,bn,c} = max{min{ min{an,bn},c},min{aN+1,bN+1,c}}.Next, if the case N = 2 is used, it follows thatmin{an,bn,c} = min{max{ min{an,bn},min{aN+1,bN+1}},c} = min{ ... is decomposed into manufacturing features(with corresponding machining operations).• Factory Manager(s) negotiates with resource agents for machining operations, awards machiningoperation...
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Computational Intelligence In Manufacturing Handbook P5
... parts00.20.40.60.8100.20.40.60.81WIP in IB05 810Machine Utility7550 100% ©2001 CRC Press LLC • Minimizing lateness/tardiness• Minimizing makespan• Maximizing system/machine utilization• Minimizing WIP (work in process)• ... Dispatching Rules in FMSsThis section explains a fuzzy real-time routing selection and an intelligent decision-making tool usingfuzzy expert systems for machine loading in an FMS. In the complex ... Simulation of scheduling rules in a flexiblemanufacturing system using fuzzy logic, IEA-AIE96 Ninth International Conference on Industrialand Engineering Application of Artificial Intelligence and...
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Computational Intelligence In Manufacturing Handbook P4
... themselves. In the traditional part–machine incidence matrix, assuming binary values, sequence information isignored. To include sequence information, a sequence-based incidence matrix is introduced, ... manufacturing (CM) systems. ANNs alsohold considerable promise, in general, for reducing complexity in logistics, and for streamlining andsynergistic regrouping of many operations in the supply chain. ... components for cellular manufacturing, keepinga concurrent engineering framework in mind. It utilizes two middle layers, as shown in Figure 4.4.The inputs for the network include design features of...
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Computational Intelligence In Manufacturing Handbook P7
... An intelligent design retrieving system should aim toward a natural linking of thenext process planning and manufacturing stages. 7.2.4 Conducting Retrieval Tasks with a Certain Degree of Incomplete ... of engineering designs can be adapted in the research to represent a design. One major disadvantage of using image-based indexing is that thedisappearance of hidden features and internal lines ... Journal of Computing in Civil Engineering, 8(3):137-150.Perng, D B. and C F. Chang, (1997) A new feature-based design system with dynamic editing, Computersand Industrial Engineering, 32(2):383-397.Smith,...
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Computational Intelligence In Manufacturing Handbook P6
... for Finding the Optimum Process Routings for PartsThe aim of a cellular manufacturing system design is minimizing the cost of the system. It can be gainedby dividing the system into independent ... including parts, machines, and information into some groupsor subsystems. Introduction of group technology into manufacturing has many advantages, including areduction in flow time, work -in- process, ... machines into machine groupsAim: Clustering machines into machine groups.Input: An MCS matrix for the selected process routings for parts.Objective: Maximize the similarity of adjacent machines in...
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Development of Biotechnology in India
... gains in biotechnology in India. The education andtraining programs have been well laid, intelligent scientific work-force being avail-able, fairly good infrastructures are in place and industry ... the Ministry ofS&T’s continued interest in the development of biotechnology in India can beassessed (Table 1) [2, 3].Development of Biotechnology in India 93Table 1.Major sectors of investment ... theseareas, a major initiative involving 13 collaborating institutions was launched onbioprospecting in 1997. Characterizing, inventorying, conserving biodiversity,and prospecting of different ecogeographical...
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Computational Intelligence In Manufacturing Handbook P9
... engineering drawing. For machining, process planning includes determination ofthe specific operations required and their sequence, which include tooling, fixturing, and inspectionequipment. In ... crossover of two stringsInput: string-1 and string-2.Output: offspring-1 and offspring-2.1. Determine a cut point randomly from all the positions of a string. Each string is divided into twoparts, ... Machines?Cutters?Fixtures?Set-ups?MachiningfeaturesMachiningfeaturesOperations? Machines & Cutters? Fixtures & Set-ups?(a) Process planning in a linear manner.(b) Process planning...
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Computational Intelligence In Manufacturing Handbook P8
... applying parallelmachines in industrial manufacturing, only a handful of papers are found on sequencing machiningoperations for parallel machines [3, 22]. The combinatorial nature of sequencing ... slack = 114Lee, Yuan-Shin et al "Soft Computing for Optimal Planning and Sequencing of Parallel Machining Operations" Computational Intelligence in Manufacturing HandbookEdited by ... variablesand 470 constraints. This clearly indicates that sequencing the parallel machining operations by usingconventional integer programming method could be computationally expensive and inefficient [4]....
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Computational Intelligence In Manufacturing Handbook P12
... of improving the product quality, increasing the effectevents in production, increasing autonomity and intelligence in manufacturing lines, reducing the reac-tion time of manufacturing systems, ... combination of features in order to reduce the computational burdenand increase efficiency in clustering. This can ensure better performance of the monitoring system, whilereducing the monitoring ... orshort-term characteristics. For instance, in machining processes, if vibration from the ground is cominginto the machine processing the materials, and lasts continuously for some time, it can...
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Computational Intelligence In Manufacturing Handbook P11
... 100 revolutions per minute.7 Initial reading Initial viscosity (taken at 3 1/2 minutes).8 Build up Change in viscosity from initial reading (taken after 18 minutes)9 20 minute gelation Thixotropy ... Casting the slip in a plaster mold for a specified duration3. Removing the mold4. Air drying the cast piece5. Spray gazing the dried piece6. Firing the gazed piece in a kiln7. Inspecting ... Machining Application Abrasive flow machining (AFM) was originally developed for deburring aircraft valve bodies. It has manyapplications in the aerospace, automotive, electronic, and die-making...
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Computational Intelligence In Manufacturing Handbook P10
... recent interest in using genetic algorithms to address theproblem. In the following sections, we explain how to solve them with genetic algorithms, includingresource-constrained project scheduling, ... manpower, money,machines, tools, materials, energy, and so on. Tasks can have a variety of interpretations from machiningparts in manufacturing systems up to processing information in computer systems. ... the natural building blocks and intend to use such crossover to maintainbuilding blocks in offspring in much the same manner as Holland described. The method has the followingmajor steps: (i)...
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Tài liệu Computational Intelligence In Manufacturing Handbook P19 doc
... approximations, duringwhich the training data set is split into certain training data set and possible training data set. Subsequently,these training sets are forwarded to the GA-based search engine for ... rule in the original data set.This index can be viewed as the probability of classifying an inconsistent training data set correctly. Foreach certain rule extracted from the certain training ... developed to assistengineers in diagnosing the equipment.Defining TermsCertain rules: Rules that can definitely classify some observations into a certain concept.Certain training data set: The data...
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Tài liệu Computational Intelligence In Manufacturing Handbook P18 pdf
... moving-window sample method is chosen, except that ARL values ofthe designs using the moving-window sample method are in general smaller than those using theindependent method, considering ... with larger values meaning larger shifts. Notethat both neural networks were trained off-line using simulations. By incorporating the trained weightmatrices, one can start using the proposed method. ... Backpropagation training is the most popular supervised neural network training algorithm. The trainingis designed to modify the thresholds and weights so that the overall error will be minimized. At...
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Tài liệu Computational Intelligence In Manufacturing Handbook P17 doc
... This involves dividing the data set into S mutually exclu-sive subsets, using S – 1 subsets for training the network (as discussed in Section 17.2.1.2) and theremaining subset for testing, ... Plasma Etching Process Modelingand On-Line Parameter Design 17.5 Conclusion 17.1 Introduction Besides aggressively innovating and incorporating new materials and technologies into practical, ... with 6 input nodes (matchingthe 6 process input factors), 12 nodes in the hidden layer (using a bipolar sigmoid nodal function in thehidden layer), and 4 nodes in the output layer (matching the...
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