...
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.
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... returned to Indiain 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...
... holonic
concepts into a manufacturing setting:
Holon:
An autonomous and cooperative building block of a manufacturing system for transforming,
transporting, storing, and/or validating information ...
min{a
n
,b
n
,c} = max{min{ min{a
n
,b
n
},c},min{a
N+1
,b
N+1
,c}}.
Next, if the case N = 2 is used, it follows that
min{a
n
,b
n
,c} = min{max{ min{a
n
,b
n
},min{a
N+1
,b
N+1
}},c} = min{ ... is decomposed into manufacturing features
(with corresponding machining operations).
• Factory Manager(s) negotiates with resource agents for machining operations, awards machining
operation...
... themselves.
In the traditional part–machine incidence matrix, assuming binary values, sequence information is
ignored. To include sequence information, a sequence-based incidence matrix is introduced, ... manufacturing (CM) systems. ANNs also
hold considerable promise, in general, for reducing complexity in logistics, and for streamlining and
synergistic regrouping of many operations in the supply chain. ... components for cellular manufacturing, keeping
a 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...
... An intelligent design retrieving system should aim toward a natural linking of the
next 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 the
disappearance 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, Computers
and Industrial Engineering, 32(2):383-397.
Smith,...
... for Finding the Optimum Process
Routings for Parts
The aim of a cellular manufacturing system design is minimizing the cost of the system. It can be gained
by dividing the system into independent ... including parts, machines, and information into some groups
or subsystems. Introduction of group technology into manufacturing has many advantages, including a
reduction in flow time, work -in- process, ... machines into machine groups
Aim: Clustering machines into machine groups.
Input: An MCS matrix for the selected process routings for parts.
Objective: Maximize the similarity of adjacent machines in...
... gains in biotechnology in India. The education and
training programs have been well laid, intelligent scientific work-force being avail-
able, fairly good infrastructures are in place and industry ... the Ministry of
S&T’s continued interest in the development of biotechnology inIndia can be
assessed (Table 1) [2, 3].
Development of Biotechnology in India
93
Table 1.
Major sectors of investment ... these
areas, a major initiative involving 13 collaborating institutions was launched on
bioprospecting in 1997. Characterizing, inventorying, conserving biodiversity,
and prospecting of different ecogeographical...
... engineering drawing. For machining, process planning includes determination of
the specific operations required and their sequence, which include tooling, fixturing, and inspection
equipment. In ... crossover of two strings
Input: 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 two
parts, ... Machines?
Cutters?
Fixtures?
Set-ups?
Machining
features
Machining
features
Operations? Machines & Cutters? Fixtures & Set-ups?
(a) Process planning in a linear manner.
(b) Process planning...
... applying parallel
machines in industrial manufacturing, only a handful of papers are found on sequencing machining
operations for parallel machines [3, 22]. The combinatorial nature of sequencing ... slack = 1
14
Lee, Yuan-Shin et al "Soft Computing for Optimal Planning and Sequencing of Parallel Machining Operations"
Computational Intelligence in Manufacturing Handbook
Edited by ... variables
and 470 constraints. This clearly indicates that sequencing the parallel machining operations by using
conventional integer programming method could be computationally expensive and inefficient [4]....
... of improving the product quality, increasing the effect
events 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 burden
and increase efficiency in clustering. This can ensure better performance of the monitoring system, while
reducing the monitoring ... or
short-term characteristics. For instance, in machining processes, if vibration from the ground is coming
into the machine processing the materials, and lasts continuously for some time, it can...
... 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 duration
3. Removing the mold
4. Air drying the cast piece
5. Spray gazing the dried piece
6. Firing the gazed piece in a kiln
7. Inspecting ... Machining Application
Abrasive flow machining (AFM) was originally developed for deburring aircraft valve bodies. It has many
applications in the aerospace, automotive, electronic, and die-making...
... recent interest in using genetic algorithms to address the
problem. In the following sections, we explain how to solve them with genetic algorithms, including
resource-constrained project scheduling, ... manpower, money,
machines, tools, materials, energy, and so on. Tasks can have a variety of interpretations from machining
parts in manufacturing systems up to processing information in computer systems. ... the natural building blocks and intend to use such crossover to maintain
building blocks in offspring in much the same manner as Holland described. The method has the following
major steps: (i)...
... approximations, during
which 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. For
each certain rule extracted from the certain training ... developed to assist
engineers in diagnosing the equipment.
Defining Terms
Certain rules: Rules that can definitely classify some observations into a certain concept.
Certain training data set: The data...
... moving-window sample method is chosen, except that ARL values of
the designs using the moving-window sample method are in general smaller than those using the
independent method, considering ... with larger values meaning larger shifts. Note
that both neural networks were trained off-line using simulations. By incorporating the trained weight
matrices, one can start using the proposed method. ...
Backpropagation training is the most popular supervised neural network training algorithm. The training
is designed to modify the thresholds and weights so that the overall error will be minimized. At...
... 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 the
remaining subset for testing, ... Plasma Etching Process Modeling
and 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 (matching
the 6 process input factors), 12 nodes in the hidden layer (using a bipolar sigmoid nodal function in the
hidden layer), and 4 nodes in the output layer (matching the...