A fast and accurate per-cell dynamic IR-drop estimation method for at-speed scan test pattern validation

ITC : 2012 IEEE International Test Conference , 5-8 Nov. 2012 , Anaheim, CA, USAIn return for increased operating frequency and reduced supply voltage in nano-scale designs, their vulnerability to IR-drop-induced yield loss grew increasingly apparent. Therefore, it is necessary to consider delay increase effect due to IR-drop during at-speed scan testing. However, it consumes significant amounts of time for precise IR-drop analysis. This paper addresses this issue with a novel per-cell dynamic IR-drop estimation method. Instead of performing time-consuming IR-drop analysis for each pattern one by one, the proposed method uses global cycle average power profile for each pattern and dynamic IR-drop profiles for a few representative patterns, thus total computation time is effectively reduced. Experimental results on benchmark circuits demonstrate that the proposed method achieves both high accuracy and high time-efficiency

DART: Dependable VLSI Test Architecture and Its Implementation

Although many electronic safety-related systems require very high reliability, it is becoming harder and harder to achieve it because of delay-related failures, which are caused by decreased noise margin. This paper describes a technology named DART and its implementation. The DART repeatedly measures the maximum delay of a circuit and the amount of degradation in field, in consequence, confirms the marginality of the circuit. The system employing the DART will be informed the significant reduction of delay margin in advance of a failure and be able to repair it at an appropriate time. The DART also equips a technique to improve the test coverage using the rotating test and a technique to consider the test environment such as temperature or voltage using novel ring-oscillator-based monitors. The authors applied the proposed technology to an industrial design and confirmed its effectiveness and availability with reasonable resources.2012 IEEE International Test Conference, 5-8 November 2012, Anaheim, CA, US

融合結合プラズマ発光分析法によるキャベツ、ほうれん草、大根の部位別元素含有量

A multi-element determination in a cabbage, spinach, and the Japanese radish was carried out by inductively coupled plasma atomic emission spectrometry (ICP). We investigated whether there was a difference in content according to the part of the vegetables. The dried vegetables (0.5g) were digested with nitric acid and with hydrogen peroxide acid in a resolution device As a result, about 9 elements were successfully determined. The values of the coefficient of variance for part interval by each vegetable was high. The part of a leaf with a spinach, compareatively had many each elements and it was found that elements were included most in the part of the Japanese radish which people are apt to usually throw away. this thinks that a difference by the farm influences it

Memory block based scan-BIST architecture for application-dependent FPGA testing

FPGA '14 : Proceedings of the 2014 ACM/SIGDA international symposium on Field-programmable gate arrays , 26-28 Feb. 2014 , Monterey, California, USAThis paper presents a scan-based BIST architecture for FPGAs used as application-specific embedded devices for low-volume products. The proposed architecture efficiently utilizes memory blocks, instead of logic elements, to build up BIST components such as LFSR, MISR and scan chains for test points. It also provides enhanced scan functionality for test points and performs a hybrid test application of LOC and enhanced scan to improve delay test quality. Experimental results show that the proposed BIST architecture achieves high delay test quality with efficient resource utilization

Sex Differences in Intestinal Microbiota and Their Association with Some Diseases in a Japanese Population Observed by Analysis Using a Large Dataset

In recent years, many studies have focused on the relationship between intestinal microbiota and human health, but the impact of sex has not yet been sufficiently investigated. In this study, sex differences in the intestinal microbiota of a Japanese population were investigated by age group, using a large dataset constructed for a cross-sectional study. α-diversity analysis indicated that the impact of sex differences varied among the 20s–50s age groups but tended to be smaller among the 60s–70s age groups. Fusobacterium, Megamonas, Megasphaera, Prevotella, and Sutterella were more common among males, whereas Alistipes, Bacteroides, Bifidobacterium, Odoribacter, and Ruthenibacterium were common among females. Next, intestinal bacteria potentially associated with 12 diseases were investigated for each sex. The results indicate that many of these differ between males and females, and among age groups. Thus, sex and age should be considered for studies on intestinal microbiota and disease association, prevention, and treatment approaches that target them

Sex Differences in Intestinal Microbiota and Their Association with Some Diseases in a Japanese Population Observed by Analysis Using a Large Dataset

In recent years, many studies have focused on the relationship between intestinal microbiota and human health, but the impact of sex has not yet been sufficiently investigated. In this study, sex differences in the intestinal microbiota of a Japanese population were investigated by age group, using a large dataset constructed for a cross-sectional study. α-diversity analysis indicated that the impact of sex differences varied among the 20s–50s age groups but tended to be smaller among the 60s–70s age groups. Fusobacterium, Megamonas, Megasphaera, Prevotera, and Sutterella were more common among males, whereas Alistipes, Bacteroides, Bifidobacterium, Odoribacter, and Ruthenibacterium were common among females. Next, intestinal bacteria potentially associated with 12 diseases were investigated for each sex. The results indicate that many of these differ between males and females, and among age groups. Thus, sex and age should be considered for studies on intestinal microbiota and disease association, prevention, and treatment approaches that target them

Estimation of Delay Test Quality and Its Application to Test Generation

As a method to evaluate delay test quality of test patterns, SDQM (Statistical Delay Quality Model) has been proposed for transition faults. In order to derive better test quality by SDQM, the following two things are important: for each transition fault, (1) to find out the accurate length of the longest sensitizable paths along which the fault is activated and propagated, and (2) to generate a test pattern that detects the fault through as long paths as possible. In this paper, we propose a method to calculate the length of the potentially sensitizable longest path for detection of a transition fault. In addition, we develop a procedure to extract path information that helps high quality transition ATPG. Experimental results show that the proposed method improves SDQL (Statistical Delay Quality Level) by not only accurate calculation of the longest sensitizable paths but also detection of faults through longer paths