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Dive into the research topics where Kewal K. Saluja is active.

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Featured researches published by Kewal K. Saluja.


international workshop on wireless sensor networks and applications | 2002

Sensor deployment strategy for target detection

Thomas Clouqueur; Veradej Phipatanasuphorn; Parameswaran Ramanathan; Kewal K. Saluja

In order to monitor a region for traffic traversal, sensors can be deployed to perform collaborative target detection. Such a sensor network achieves a certain level of detection performance with an associated cost of deployment. This paper addresses this problem by proposing path exposure as a measure of the goodness of a deployment and presents an approach for sequential deployment in steps. It illustrates that the cost of deployment can be minimized to achieve the desired detection performance by appropriately choosing the number of sensors deployed in each step.


IEEE Transactions on Very Large Scale Integration Systems | 1997

Scheduling tests for VLSI systems under power constraints

Richard M. Chou; Kewal K. Saluja; Vishwani D. Agrawal

This paper considers the problem of testing VLSI integrated circuits in minimum time without exceeding their power ratings during test. We use a resource graph formulation for the test problem. The solution requires finding a power-constrained schedule of tests. Two formulations of this problem are given as follows: (1) scheduling equal length tests with power constraints and (2) scheduling unequal length tests with power constraints. Optimum solutions are obtained for both formulations. Algorithms consist of four basic steps. First, a test compatibility graph is constructed from the resource graph. Second, the test compatibility graph is used to identify a complete set of time compatible tests with power dissipation information associated with each test. Third, from the set of compatible tests, lists of power compatible tests are extracted. Finally, a minimum cover table approach is used to find an optimum schedule of power compatible tests.


IEEE Design & Test of Computers | 1993

A tutorial on built-in self-test. I. Principles

Vishwani D. Agrawal; Charles R. Kime; Kewal K. Saluja

An overview of built-in self-test (BIST) principles and practices is presented. The issues and economics underlying BIST are discussed, and the related hierarchical test structures are introduced. The fundamental BIST concepts of pattern generation and response analysis are explained. Linear feedback shift register theory is reviewed. >


IEEE Transactions on Computers | 2004

Fault tolerance in collaborative sensor networks for target detection

Thomas Clouqueur; Kewal K. Saluja; Parameswaran Ramanathan

Collaboration in sensor networks must be fault-tolerant due to the harsh environmental conditions in which such networks can be deployed. We focus on finding algorithms for collaborative target detection that are efficient in terms of communication cost, precision, accuracy, and number of faulty sensors tolerable in the network. Two algorithms, namely, value fusion and decision fusion, are identified first. When comparing their performance and communication overhead, decision fusion is found to become superior to value fusion as the ratio of faulty sensors to fault free sensors increases. As robust data fusion requires agreement among nodes in the network, an analysis of fully distributed and hierarchical agreement is also presented. The impact of hierarchical agreement on communication cost and system failure probability is evaluated and a method for determining the number of tolerable faults is identified.


IEEE Design & Test of Computers | 1993

A tutorial on built-in self-test. 2. Applications

Vishwani D. Agrawal; Charles R. Kime; Kewal K. Saluja

For pt.1 see ibid., vol.10, no.1, p.73-82 (1993). The hardware structures and tools used to implement built-in self-test (BIST) pattern generation and response analysis concepts are reviewed. The authors describe testing approaches for general and structured logic, including ROMs, RAMs, and PLAs. They illustrate BIST techniques with real-world examples. >


vlsi test symposium | 2005

On low-capture-power test generation for scan testing

Xiaoqing Wen; Yoshiyuki Yamashita; Seiji Kajihara; Laung-Terng Wang; Kewal K. Saluja; Kozo Kinoshita

Research on low-power scan testing has been focused on the shift mode, with little or no consideration given to the capture mode power. However, high switching activity when capturing a test response can cause excessive IR drop, resulting in significant yield loss. This paper addresses this problem with a novel low-capture-power X-filling method by assigning 0s and 1s to unspecified (X) bits in a test cube to reduce the switching activity in capture mode. This method can be easily incorporated into any test generation flow, where test cubes are obtained during ATPG or by X-bit identification. Experimental results show the effectiveness of this method in reducing capture power dissipation without any impact on area, timing, and fault coverage.


IEEE Transactions on Computers | 1988

A data compression technique for built-in self-test

Sudhakar M. Reddy; Kewal K. Saluja; Mark G. Karpovsky

A data compression technique called self-testable and error-propagating space compression is proposed and analyzed. Faults in a realization of Exclusive-OR and Exclusive-NOR gates are analyzed, and the use of these gates in the design of self-testing and error propagating space compressors is discussed. It is argued that the proposed data-compression technique reduce the hardware complexity in built-in self-test (BIST) logic designs using external tester environments. >


IEEE Transactions on Computers | 1988

Test scheduling and control for VLSI built-in self-test

G.L. Craig; C.R. Kine; Kewal K. Saluja

The test scheduling problem for equal length and unequal length tests for VLSI circuits using built-in self-test (BIST) has been modeled. A hierarchical model for VLSI circuit testing is introduced. The test resource sharing model from C. Kime and K. Saluja (1982) is employed to exploit the potential parallelism. Based on this model, very efficient suboptimum algorithms are proposed for defining test schedules for both the equal length test and unequal length test cases. For the unequal length test case, three different scheduling disciplines are defined, and scheduling algorithms are given for two of the three cases. Data on algorithm performance are presented. The issue of the control of the test schedule is also addressed, and a number of structures are proposed for implementation of control. >


international test conference | 2005

Low-capture-power test generation for scan-based at-speed testing

Xiaoqing Wen; Yoshiyuki Yamashita; Shohei Morishima; Seiji Kajihara; Laung-Terng Wang; Kewal K. Saluja; Kozo Kinoshita

Scan-based at-speed testing is a key technology to guarantee timing-related test quality in the deep submicron era. However, its applicability is being severely challenged since significant yield loss may occur from circuit malfunction due to excessive IR drop caused by high power dissipation when a test response is captured. This paper addresses this critical problem with a novel low-capture-power X-filling method of assigning 0s and 1s to unspecified (X) bits in a test cube obtained during ATPG. This method reduces the circuit switching activity in capture mode and can be easily incorporated into any test generation flow to achieve capture power reduction without any area, timing, or fault coverage impact. Test vectors generated with this practical method greatly improve the applicability of scan-based at-speed testing by reducing the risk of test yield loss


Mobile Networks and Applications | 2003

Sensor deployment strategy for detection of targets traversing a region

Thomas Clouqueur; Veradej Phipatanasuphorn; Parameswaran Ramanathan; Kewal K. Saluja

Sensing devices can be deployed to form a network for monitoring a region of interest. This paper investigates detection of a target traversing the region being monitored by using collaborative target detection algorithms among the sensors. The objective of the study is to develop a low cost sensor deployment strategy to meet a performance criteria. The paper defines a path exposure metric as a measure of goodness of deployment. It then gives a problem formulation for the random sensor deployment and defines cost functions that take into account the cost of single sensors and the cost of deployment. A sequential sensor deployment approach is then developed. The paper illustrates that the overall cost of deployment can be minimized to achieve the desired detection performance by appropriately choosing the number of sensors deployed in each step of the sequential deployment strategy.

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Parameswaran Ramanathan

University of Wisconsin-Madison

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Virendra Singh

Indian Institute of Technology Bombay

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Seiji Kajihara

Kyushu Institute of Technology

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Thomas Clouqueur

University of Wisconsin-Madison

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