222 research outputs found
A Compiler-based Framework For Automatic Extraction Of Program Skeletons For Exascale Hardware/software Co-design
The design of high-performance computing architectures requires performance analysis of largescale parallel applications to derive various parameters concerning hardware design and software development. The process of performance analysis and benchmarking an application can be done in several ways with varying degrees of fidelity. One of the most cost-effective ways is to do a coarse-grained study of large-scale parallel applications through the use of program skeletons. The concept of a “program skeleton” that we discuss in this paper is an abstracted program that is derived from a larger program where source code that is determined to be irrelevant is removed for the purposes of the skeleton. In this work, we develop a semi-automatic approach for extracting program skeletons based on compiler program analysis. We demonstrate correctness of our skeleton extraction process by comparing details from communication traces, as well as show the performance speedup of using skeletons by running simulations in the SST/macro simulator. Extracting such a program skeleton from a large-scale parallel program requires a substantial amount of manual effort and often introduces human errors. We outline a semi-automatic approach for extracting program skeletons from large-scale parallel applications that reduces cost and eliminates errors inherent in manual approaches. Our skeleton generation approach is based on the use of the extensible and open-source ROSE compiler infrastructure that allows us to perform flow and dependency analysis on larger programs in order to determine what code can be removed from the program to generate a skeleton
A Rechargeable Lithium Battery with Li2O2 Cathode in Closed Systems
poster abstractLi-O2 batteries have one of the highest theoretical specific energy of 3,458 Wh/kg when
the weight of the primary discharge product, i.e., Li2O2, is considered. Thus, this BIL
(Beyond Lithium Ion) battery technology, if made practical, will find extensive usage
especially in the successful electrification of vehicles. However, there are many challenges.
Current Li-O2 batteries demonstrated in labs have been limited to “open systems”, i.e.,
batteries that have a porous carbon cathode that “breathes” pure oxygen. The limitations of these systems are the requirement of pure oxygen. In addition, the consensus among
researchers on specific capacity (mAh/g) calculations based on active materials is lacking
because extra oxygen is continuously supplied to cells upon cycling. One solution to these
limitations is the use of closed systems, i.e., storage and reuse of O2 within the cell.
Recently, our group has demonstrated a closed and rechargeable lithium battery with Li2O2 cathode for the first time. This platform is unique as it shows, for the first time in literature, capacites and rate capability based on mass of Li2O2. The cell shows a close-to-theoretical capacity over 18 cycles and shows 50 cycles when the charge capacity is limited to 50% of theoretical. It allows other studies on the stability of electrolyte, electrode kinetics, and oxygen storage materials. This system can eleminate the issues of open systems such as impurities oxygen gas and evaporation of electrolyte. Unstable electrolytes are a major bottleneck in Li-O2 batteries. Such a system provides a suitable medium to optimize electrolytes and other cell components
Opportunistic Data Network Selection For User Equipment With Multiple Subscriber Identification Module Cards
A user equipment (UE) includes multiple subscriber identification module (SIM) cards to connect to different networks, including any available opportunistic data network. To support connection to 5G opportunistic data networks, the UE employs the primary network stack (the network stack associated with the primary SIM card) to connect to a 5G communications network (e.g., a 5G cellular network), and further employs the primary network stack to periodically scan for opportunistic data networks. In response to detecting a 5G opportunistic data network, the primary network stack transfers the 5G connection capability to a secondary network stack (a network stack associated with a secondary SIM card), and the UE connects to the 5G opportunistic data network via the secondary network stack, while connecting the primary network stack to another communications network (e.g., a Long-Term Evolution (LTE) or 4G communications network). The UE is thereby able to detect and connect to 5G opportunistic data networks, even when only one of the multiple SIM cards is able to have 5G capability at one time
Optimizing WLAN Access Point Scans for VOIMS
WLAN-to-WLAN handover decisions and WLAN-to-WWAN handover decisions for a portable user device conducting a VoIMS call typically are based on a scan list that lists identified WLAN APs and their detected signal quality characteristics. The conventional approach of periodically updating the scan list can result in an out-of-date listing of available WLAN APs and their signal quality characteristics, which can result in sub-optimal handover decisions and thus a sub-optimal voice call experience. The handover decision process is improved by using other triggers to initiate an updated WLAN AP scan, including using activation of a dialer GUI or other indication that a voice call is about to be placed, degradation of a WWAN connection supporting a current voice call, and the like. Through increases in the frequency of WLAN AP scans balanced against the power consumed by such scans, a more accurate and timelier WLAN AP scan list is made available for handover decisions, and thereby supporting a higher-quality voice call experience
Real-Time Voice-Call Language Translation
This publication describes techniques for real-time voice-call language translation performed on a computing device. A Translation Manager of the device may enable real-time language translation of a voice input during a voice call by directing a processor(s) to perform local speech-recognition of the voice input using a machine-learned (ML) model to improve an accuracy of the translation and convert the voice input into text that may be exchanged with another user by real-time text (RTT) over an internet protocol (IP). The processor(s) may translate the text of the voice input using a cloud or a local module to reduce a cost associated with and increase a speed of the translation. Using a text-to-speech (TTS) technique, the user may be provided with the translation of the voice input in a text format and/or an audio format
A Graphite-Polysulfide Full Cell with DME-Based Electrolyte
Over the last decade, vast improvements have been made in the field of lithium-sulfur batteries bringing it a step closer to reality. In this field of research, deep understanding of the polysulfide shuttle phenomenon and their affinity with carbons, polymers and other hosts have enabled the design of superior cathodes with prolonged life. However, the anode side has undergone comparatively less transformation. In this work, we have developed a new electrolyte based on 1,2-dimethoxyethane (DME) solvent that enables reversible intercalation of lithium ions in graphite. A novel method to introduce solid lithium polysulfide into a carbon current collector as the cathode has been demonstrated and the electrode shows stable cycling with the new electrolyte. A full cell consisting of a lithiated graphitic anode and lithium polysulfide cathode is constructed, which exhibits an initial capacity as high as 1,500 mAh g−1 (based on the sulfur in the cathode) and a reversible capacity of 700 mAh g−1 for 100 cycles. This full cell is capable of delivering over 460 mAh g−1 at rates as high as 2C. The cell degradation over prolonged cycles could be due to the polysulfide shuttle which results in instability of the SEI layer on the graphitic anode
Role of Libraries in Promoting the Use of Open Education Resources (OER) in India: A Study of NPTEL Resources and Major Technology Libraries
The number of higher educational Institutions in India is growing steadily. Institutions imparting higher education in science and technology, particularly the ones setup up by Government of India as Institutes of national importance has almost doubled during last one decade. This development is a part of the national strategy to increase the capacity building in the S & T area. In order to support this major initiative, the eight major Institutes of national importance viz Indian Institute of Technology located in different parts of country and the Indian Institute of Science with support from Ministry of Human Resources and Development, Govt. of India, have initiated a major collaborative project called National Programme on Technology Enhanced Learning ( NPTEL) in 2003. The major objective of this programme is to develop high quality video & web based courses, each covering 40-45 lectures, delivered by well-known faculty members from the eight participating Institutes in the respective areas and make all these freely available to large number of students and teachers in India who are not able have access to quality teaching materials & education. As a result of this initiative, we have now over 125 web based courses and over 135 video based courses in the major engineering disciplines available in open access domain for any one and every one to access both within and outside India. This is number will further grow in due course. Over 800 + Institutions in India are registered and regular users of these Open Education Resources. This has created a major impact on S & T education in India. For the successful utilization of these valuable resources at the national level, several Institutions and communities have worked together. Among them and quite understandably, the librarians’ community has also played a vital role by promoting the use of these resources within their respective Institutions. This study (using a survey method) being undertaken by the authors focuses on what and how are the different & creative methods of librarianship, the librarians have used to enhance the usage of these resources ( courses) in order to make these resource so popular and useful among the student community. This study is based on the data being collected from over 50 major Technology Institutes’ Libraries in India. It is hoped that, the methods so successfully used by the Librarians in these Institutes to promote and guide the usage will be useful to Librarians in other part of the world
STUDY OF SERUM LIPID PROFILE AND FASTING BLOOD SUGAR IN POLYCYSTIC OVARIAN SYNDROME
Background: Polycystic ovarian syndrome (PCOS) is the multisystemic disorder and most common reproductive endocrinopathy of women during their childbearing years, expressed in wide varieties of clinical signs and symptoms. It is characterized by a varied and often complex array of metabolic and endocrine abnormalities, including hyperinsulinaemia, hyperglycaemia, glucose intolerance and obesity which put women with PCOS at a higher risk for diabetes, hypertension, dyslipidemia, and cardiovascular disease. Objectives: To estimate Fasting blood glucose and lipid profile in women with PCOS and normal females. Materials and Methods: After Ethical Committee Approval, blood samples were collected from 50 diagnosed PCOS cases and 50 healthy controls (premenopausal women); aged 18 to 40 years. Fasting plasma glucose and lipid profile were investigated in both PCOS patients and controls. The correlation between these biochemical parameters were then studied in the PCOS group. Data analysis done using student\u27s t- test. Results: There was a significant increase in fasting plasma glucose levels in PCOS patients as compared to controls. PCOS women had higher BMI with increased total cholesterol, TGL, LDL-C, VLDL-C and lower HDL-C (P < 0.05) as compared to the controls which was statistically significant. The levels of glucose showed significant positive correlation with total cholesterol (P<0.01), triglycerides(P<0.05), LDL-C (P<0.01) whereas non-significant negative correlation with HDL-C. Conclusion: The findings of this study confirms the association between Glucose, BMI and dyslipidaemia in PCOS and may help to identify women with PCOS at risk of cardio metabolic syndrome thereby confirming the association between PCOS and cardiovascular risk factors
STUDY OF SERUM LIPID PROFILE AND FASTING BLOOD SUGAR IN POLYCYSTIC OVARIAN SYNDROME
Background: Polycystic ovarian syndrome (PCOS) is the multisystemic disorder and most common reproductive endocrinopathy of women during their childbearing years, expressed in wide varieties of clinical signs and symptoms. It is characterized by a varied and often complex array of metabolic and endocrine abnormalities, including hyperinsulinaemia, hyperglycaemia, glucose intolerance and obesity which put women with PCOS at a higher risk for diabetes, hypertension, dyslipidemia, and cardiovascular disease. Objectives: To estimate Fasting blood glucose and lipid profile in women with PCOS and normal females. Materials and Methods: After Ethical Committee Approval, blood samples were collected from 50 diagnosed PCOS cases and 50 healthy controls (premenopausal women); aged 18 to 40 years. Fasting plasma glucose and lipid profile were investigated in both PCOS patients and controls. The correlation between these biochemical parameters were then studied in the PCOS group. Data analysis done using student's t- test. Results: There was a significant increase in fasting plasma glucose levels in PCOS patients as compared to controls. PCOS women had higher BMI with increased total cholesterol, TGL, LDL-C, VLDL-C and lower HDL-C (P < 0.05) as compared to the controls which was statistically significant. The levels of glucose showed significant positive correlation with total cholesterol (P<0.01), triglycerides(P<0.05), LDL-C (P<0.01) whereas non-significant negative correlation with HDL-C. Conclusion: The findings of this study confirms the association between Glucose, BMI and dyslipidaemia in PCOS and may help to identify women with PCOS at risk of cardio metabolic syndrome thereby confirming the association between PCOS and cardiovascular risk factors
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