AUTOMATED WRAPPER DESIGN FOR ISCAS ’89 BENCHMARK CIRCUITS

System-on-chip (SOC) enables the reuse of existing IP blocks in a system, thereby making it possible to design complex systems within a short period of time. With the complexity of the design comes the problem of testing the SOC. A typical SOC can integrate many modules, therefore making it difficult to test these individual modules by accessing from the primary interfaces of the chip. To aleviate this test access issue for SOC‟s, the IEEE 1500 standard has been introduced. There are commercial tools from main EDA players such as Synopsys that can help with the insertion of the IEEE 1500 wrapper. However, most researchers have no access to the expensive tool. Even if they do, the tools are protected so they do not allow researchers access to the internal features to explore potential enhancements. There is no open source tools that can assist test researchers with the 1500 wrapper insertion. In this thesis, we illustrate our effort at automating the IEEE 1500 wrapper insertion. The design of the IEEE 1500 wrapper is done in Verilog and the automation is done using the Perl scripting language. The inserted wrapper modules are validated and an efficient approach of executing wrapper external tests is also illustrated in this thesis

Jigzoe: integrated cartoon animation studio institution in Ipoh, Perak

Cartoon and animation are universal, effective and entertaining tools used in conveying messages. They are being used worldwide and its industry has been growing rapidly. For many years, cartoon and animation encounter many issues regarding their approaches, methods and impacts. Four main issues have been identified to affect this industry, namely stigma (social), misuse (ethical), lost identity (cultural) and downfall industry (economic)

Structural And Reliability Analysis Of Solder Joint Under Vibration Loading

Most of the devices nowadays contained electronic parts and often operated in vibration environment for extended periods without failing. The role of solder in electronic packages has expanded and act as electrical interconnection as well as mechanical bond to certain parts while the joint decrease in size and cost. Hence, it is essential to investigate the structure of the solder joint and its reliability under vibration load. Models were simulated in structural analysis to simulate pull strength test to learn the structure and its strength while under random vibration to learn its behaviour and dynamic response under certain random frequency. Models were subjected to Y-axis displacement loading in structural analysis where as in random vibration analysis, the models are exposed to frequency range of 3 Hz to 500 Hz. Result from structural analysis shows that the structure of solder joint affects the strength of interconnection between circuit pad and LED joint. Higher number of adhesives able provide more strength to the structure. All parts of the CAD model were excited from the exposed frequency and failure occurred at some parts of the model at certain parameters. Overall, the research done allows the critical parameters of the models to be discovered of its behaviour in this analysis

Schottiin, a New Prenylated Isoflavone from Psorothamnus schottii and Antibacterial Synergism Studies between Methicillin and Fremontone against MRSA

Presenter: Mallika Kumarihamyhttps://egrove.olemiss.edu/pharm_annual_posters_2021/1001/thumbnail.jp

Media framing on the HIV/AIDS related epidemic / Mohd Shahnawi Muhmad Pirus, Ilias Md. Salleh and Mokhtar Muhammad.

Media plays an important role in the social landscape that helps to shape audience perceptions and it also facilitates public discourse and debate by defining acceptable parameters for discussion. According to Collins (2004), media serves as sense-makers to world and become the primary presenters of ideology for the large audience consumption, integrating the fact that media is vital as most commonly shared source of information. Controversial social issues and concerns become the common strengths for the conventional and mainstream media practices and it is represented in various media context (Hart, 1999). Based on Hart’s view, Piontek (1992) also claimed the issues on sexuality especially on homosexuality is dominantly geared by the media representation. He added these representations are fundamentally equipped with the intention to strengthen the society’s knowledge and perception towards their understanding on epidemic diseases such as the Acquired Immune Deficiency Syndrome (AIDS)

Martian Ionosphere Electron Density Prediction Using Bagged Trees

The availability of Martian atmospheric data provided by several Martian missions broadened the opportunity to investigate and study the conditions of the Martian ionosphere. As such, ionospheric models play a crucial part in improving our understanding of ionospheric behavior in response to different spatial, temporal, and space weather conditions. This work represents an initial attempt to construct an electron density prediction model of the Martian ionosphere using machine learning. The model targets the ionosphere at solar zenith ranging from 70 to 90 degrees, and as such only utilizes observations from the Mars Global Surveyor mission. The performance of different machine learning methods was compared in terms of root mean square error, coefficient of determination, and mean absolute error. The bagged regression trees method performed best out of all the evaluated methods. Furthermore, the optimized bagged regression trees model outperformed other Martian ionosphere models from the literature (MIRI and NeMars) in finding the peak electron density value, and the peak density height in terms of root-mean-square error and mean absolute error.Comment: The peer-reviewed paper is available at: https://doi.org/10.1109/ICECTA57148.2022.999050

Finite Element Analysis of Thermoelectric Generator with Aluminum Plate for Waste Heat Recovery Application

Thermoelectric generator (TEG) is the solid state device that converts the thermal gradient into electrical energy. TEG is widely used as the renewable energy source especially for the electronic equipment that operates with the small amount of electrical power. In the present analysis, the finite element analysis (FEA) using ANSYS is conducted on a model of the TEG attached with the aluminium, Al plate on the hot side of the TEG. This simple construction of TEG model was built in order to be used in the waste heat recovery application. It was shown that the changes of the width and thickness of the Al plate increased the temperature gradient between hot and cold sides of TEG. This directly increase the voltage produced by the TEG based on the Seeback effect. The increase of the thermal gradient due to the increment of thickness and width of Al plate might be because of the increase of thermal resistance of Al plate. Based on statistical analysis using full factorial of design of experiment, Al thickness play a major role in changing the performance of proposed TEG compared to that of Al width. This finding provides a valuable data in design process to build a good TEG attached with Al plate for the waste heat recovery application

Amplitude Scintillation Forecasting Using Bagged Trees

Electron density irregularities present within the ionosphere induce significant fluctuations in global navigation satellite system (GNSS) signals. Fluctuations in signal power are referred to as amplitude scintillation and can be monitored through the S4 index. Forecasting the severity of amplitude scintillation based on historical S4 index data is beneficial when real-time data is unavailable. In this work, we study the possibility of using historical data from a single GPS scintillation monitoring receiver to train a machine learning (ML) model to forecast the severity of amplitude scintillation, either weak, moderate, or severe, with respect to temporal and spatial parameters. Six different ML models were evaluated and the bagged trees model was the most accurate among them, achieving a forecasting accuracy of $81\%$ using a balanced dataset, and $97\%$ using an imbalanced dataset.Comment: This paper was presented at IGARSS 2022, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.988338

Selective Inhibition of Human Monoamine Oxidase B by Acacetin 7-Methyl Ether Isolated from Turnera diffusa (Damiana)

© 2019 John Wiley & Sons Ltd Background: Bodybuilding supplements can cause a profound cholestatic syndrome. Aim: To describe the drug-Induced liver injury network\u27s experience with liver injury due to bodybuilding supplements. Methods: Liver injury pattern, severity and outcomes, potential genetic associations, and exposure to anabolic steroids by product analysis were analysed in prospectively enrolled subjects with bodybuilding supplement-induced liver injury with causality scores of probable or higher. Results: Forty-four males (mean age 33 years) developed liver injury with a median latency of 73 days. Forty-one per cent presented with hepatocellular pattern of liver injury as defined by the R \u3e 5 ([Fold elevation of ALT] ÷ [Fold elevation of Alk Phos] (mean, range = 6.4, 0.5-31.4, n = 42) despite all presenting with clinical features of cholestatic liver injury (100% with jaundice and 84% with pruritus). Liver biopsy (59% of subjects) demonstrated a mild hepatitis and profound cholestasis in most without bile duct injury, loss or fibrosis. Seventy-one per cent were hospitalised, and none died or required liver transplantation. In some, chemical analysis revealed anabolic steroid controlled substances not listed on the label. No enrichment of genetic variants associated with cholestatic syndromes was found, although mutations in ABCB11 (present in up to 20%) were significantly different than in ethnically matched controls. Conclusions: Patients with bodybuilding supplements liver injury uniformly presented with cholestatic injury, which slowly resolved. The ingested products often contained anabolic steroids not identified on the label, and no enrichment in genetic variants was found, indicating a need for additional studies

Tolerance to Glutaraldehyde in Escherichia coli Mediated by Overexpression of the Aldehyde Reductase YqhD by YqhC

Glutaraldehyde is a widely used biocide on the market for about 50 years. Despite its broad application, several reports on the emergence of bacterial resistance, and occasional outbreaks caused by poorly disinfection, there is a gap of knowledge on the bacterial adaptation, tolerance, and resistance mechanisms to glutaraldehyde. Here, we analyze the effects of the independent selection of mutations in the transcriptional regulator yqhC for biological replicates of Escherichia coli cells subjected to adaptive laboratory evolution (ALE) in the presence of glutaraldehyde. The evolved strains showed improved survival in the biocide (11–26% increase in fitness) as a result of mutations in the activator yqhC, which led to the overexpression of the yqhD aldehyde reductase gene by 8 to over 30-fold (3.1–5.2 log2FC range). The protective effect was exclusive to yqhD as other aldehyde reductase genes of E. coli, such as yahK, ybbO, yghA, and ahr did not offer protection against the biocide. We describe a novel mechanism of tolerance to glutaraldehyde based on the activation of the aldehyde reductase YqhD by YqhC and bring attention to the potential for the selection of such tolerance mechanism outside the laboratory, given the existence of YqhD homologs in various pathogenic and opportunistic bacterial species