• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.1065-1068
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• 1998

This paper proposes a new test generation method. Most of the test generation methods are gate-level based, but our scheme is VHDL based, especially in other word, behavioral-level based. Our test pattern generation method uses software test method. And we generate deterministic test pattern with this method. The purpose of our method is to reduce the time and effort to generate the test patterns for the end-product test of IC.

• Journal of the Korean Institute of Telematics and Electronics
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• v.13 no.3
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• pp.1-6
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• 1976

In this paper, a method of test pattern generation for the functional failure in both combinational and sequentlal logic networks by using exterded Boole an difference is proposed. The proposed technique provides a systematic approach for the test pattern generation procedure by computing Boolean difference of the Boolean function that represents the Logic network for which the test patterns are to be generated. The computer experimental results show that the proposed method is suitable for both combinational and asynchronous sequential logic networks. Suitable models of clocked flip flops may make it possible for one to extend this method to synchronous sequential logic networks.

• Proceedings of the IEEK Conference
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• 2003.07b
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• pp.1149-1152
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• 2003

Now a days, many different kinds of display technologies such as Liquid Crystal Display (LCD), Organic Light Emitting Diode (OLED), and Liquid Crystal On Silicon (LCOS) are designed. And these display technologies will be used in many application products like High Definition Televisions (HDTVs) or mobile devices. In this paper, pattern generation circuit for display test is proposed. The proposed circuit will be embedded in the control circuit of display chip. Two differenct kinds of patterns is generated by the circuit. One is block pattern for color test, and the other is line pattern for pixel test. The shape of test pattern is determined by the values of registers in pattern generation circuit. The circuit is designed using Verilog HDL RTL code.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.5
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• pp.661-670
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• 1995

This paper presents a fast massively parallel automatic test pattern generator for digital combinational logic circuits using neural networks. Automatic test pattern generation neural network(ATPGNN) evolves its state to a stable local minima by exchanging messages among neural network modules. In preprocessing phase, we calculate the essential assignments for the stuck-at faults in fault list by adopting dominator concept. It makes more neurons be fixed and the system speed up. Consequently. fast test pattern generation is achieved. Test patterns for stuck-open faults are generated through getting initialization patterns for the obtained stuck-at faults in the corresponding ATPGNN.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.40 no.7
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• pp.526-531
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• 2003

Recently, many BIST(Built-in Self Test) schemes have been researched to reduce test time and hardware. But, most BIST schemes about pattern generation are for deterministic pattern generation. In this paper a new pseudo-random BIST scheme is provided to reduce the existing test hardware and keep a reasonable length of test time. Theoretical study demonstrates the possibility of the reduction of the hardware for pseudo-random test with some explanations and examples. Also the experimental results show that in the proposed test scheme the hardware for the pseudo-random test is much less than in the previous scheme and provide comparison of test time between the proposed scheme and the current one.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.30A no.9
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• pp.71-79
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• 1993

This paper proposes a new test pattern generation methodology for combinational logic circuits using neural networks based on a modular structure. The CUT (Circuit Under Test) is described in our gate level hardware description language. By conferring neural database, the CUT is compiled to an ATPG (Automatic Test Pattern Generation) neural network. Each logic gate in CUT is represented as a discrete Hopfield network. Such a neual network is called a gate module in this paper. All the gate modules for a CUT form an ATPG neural network by connecting each module through message passing paths by which the states of modules are transferred to their adjacent modules. A fault is injected by setting the activation values of some neurons at given values and by invalidating connections between some gate modules. A test pattern for an injected fault is obtained when all gate modules in the ATPG neural network are stabilized through evolution and mutual interactions. The proposed methodology is efficient for test generation, known to be NP-complete, through its massive paralelism. Some results on combinational logic circuits confirm the feasibility of the proposed methodology.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.4A
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• pp.558-565
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• 2000

While research of ATPG(automatic test pattern generation) for combinational circuits almost reaches a satisfiable level, one for sequential circuits still requires more research. In this paper, we propose new algorithm for sequential ATPG based on state information learning. By efficiently storing the information of the state searched during the process of test pattern generation and using the state information that has been already stored, test pattern generation becomes more efficient in time, fault coverage, and the number of test patterns. Through some experiments with ISCAS '89 benchmark circuits, the efficiency of the proposed method is shown.

• Journal of the Korea Society of Computer and Information
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• v.3 no.2
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• pp.99-104
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• 1998

In this paper I designed test pattern generator which will be completely detected the faults of multi-stage Logic Circuit. 1 generated this pattern using the test pattern generation Logic Circuit. The generated test patterns compared with the exhausted testing was decreased pattern. This test pattern generator will detect the all single stuck-at faults in the multi-stage Logic Circuit. The choice of which of the many I.C testing methods to use can have a effect on the success or failure of the fault detected. One of the most important considerations is cost and designed test pattern generator is very low cost type.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.3
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• pp.504-514
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• 1994

Combinational automatic test pattern generators (CATPG) have already been commercialized because their algorithms are well known and practical, while sequential automatic test pattern generators(SATPG) have been regarded as impractical because they are computationally complex. A technique to use CATPG instead of SATPG for test generation of sequential circuits is proposed. Redesign of seauential circuits such as Level Sensitive Scan Design (LSSD) is inevitable to use CATPG. Various partial scan techniques has been proposed to avoid full scan such as LSSD. It ha sbeen reported that SATPG is required to use partial scan techniques. We propose a technique to use CATPG for a new partial scan technique, and propose a new CATPG algorithm for the partially scanned circuits. The partial scan technique can be another choice of design for testability because it is computationally advantageous.

• JSTS:Journal of Semiconductor Technology and Science
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• v.17 no.1
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• pp.147-155
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• 2017

A new endurance test-pattern generation on NAND-flash memory is proposed to improve test cost. We mainly focus on the correlation between the data-pattern and the device error-rate during endurance testing. The novelty is the development of testing method using quasi-random pattern based on device architectures in order to increase the test efficiency during time-consuming endurance testing. It has been proven by the experiments using the commercial 32 nm NAND flash-memory. Using the proposed method, the error-rate increases up to 18.6% compared to that of the conventional method which uses pseudo-random pattern. Endurance testing time using the proposed quasi-random pattern is faster than that of using the conventional pseudo-random pattern since it is possible to reach the target error rate quickly using the proposed one. Accordingly, the proposed method provides more low-cost testing solutions compared to the previous pseudo-random testing patterns.