3,023 research outputs found
Integrating Self Testability with Design Space Exploration by a Controller based Estimation Technique
No full textRecent research for testable designs has focussed on inserting test structures by re-arranging an Register-Transfer- Level (RTL) data path generated from a behavioural description to make more testable. Although it can be argued that good results have been obtained with such approaches, we must keep in mind that with the emergence of commercial behavioural synthesis tools it is difficult for the designer to understand an automatically generated structural RTL description. With the ever increasing complexity and pressure to shorten time to market, test synthesis must not be dissociated from design synthesis. This paper shows that it is possible to generate optimised self-testable RTL when addressed at the highest level of abstraction ie., behavioural description. This is achieved by developing a novel and accurate Built-In Self-Test (BIST) resource estimation technique based on exploitation of certain characteristics of the controller of the design
Raziskava stališč in motivacije kupcev za uporabo zeliščnih izdelkov v Indiji: primer ajurvede
No full textSpontaneous intratesticular hemorrhage: two case descriptions and brief review of the literature
No full textSPARK: Secure Pseudorandom Key-based Encryption for Deduplicated Storage
No full textDeduplication is a widely used technology to reduce the storage and communication cost for cloud storage services. For any cloud infrastructure, data confidentiality is one of the primary concerns. Data confidentiality can be achieved via user-side encryption. However, conventional encryption mechanism is at odds with deduplication. Developing a user-side encryption mechanism with deduplication is a vital research topic. Existing state-of-the-art solutions in security of deduplication are vulnerable to dictionary attacks and tag inconsistency anomaly. In this paper, we present SPARK, a novel approach for secure pseudorandom key-based encryption for deduplicated storage. SPARK achieves semantic security along with deduplication. Security analysis proves that SPARK is secure against dictionary attacks and tag inconsistency anomaly. As a proof of concept, we implement SPARK in realistic environment and demonstrate its efficiency and effectiveness
Quantitative analysis in television news: a model for categorizing the news of ETBBasque Television’s ‘Gaur Egun’
No full textEste artículo aborda los diversos aspectos de la categorización en la investigación cuantitativa aplicada al análisis de un informativo de televisión. El proceso de creación de estas categorías y subcategorías y la definición de cada uno de esos conceptos constituyen el eje central del trabajo. Para ello, se ha tomado como base el programa Gaur Egun de ETB-Televisión Vasca y se ha diseñado un sistema de categorías específico en el cual se han clasificado las unidades de información que componen la muestra.This article discusses the various aspects of categorization in quantitative research applied to the analysis of television news. The process of creating these categories and subcategories and the definition of each of these concepts are the main topics of this work. The research is based on the news broadcasted by ETB-Basque Television in its program Gaur Egun. For this purpose, it was designed a system of categories in which the author classifies the information units used in the sample
AndroTaint: An efficient android malware detection framework using dynamic taint analysis
No full textAndroid operating system is widespread in today's smart-phone market due to its open source model, its easy functionality and huge number of Apps and App-Stores (the official and others). The coverage of some 90% of the market, it is also the place-holder for user's personal as well as sensitive information (IMEI, IMSI, etc.). There is a tendency of Apps user to trust on Android OS for securing his/her data but it has been proved that Android OS is more vulnerable to exploitation either for fun or for monetary purpose. Malware detection for Android OS has become an upcoming research problem of interest. Dynamic Taint Analysis is an efficient analysis in existing Android malware detection analysis. The aim of this paper is to work towards Dynamic Taint Analysis of Android malware using automatic tagging and with out modification in Android platform. In order to do this, this paper surveys exhaustively the available literature and works related to dynamic taint analysis. This paper proposes some novel ideas to improve the existing solution with more accuracy. There are two phases of our novel algorithm, the first phase is training phase for feature extraction and the second phase is the analysis phase for automatic tagging and tainting. We have developed a framework named AndroTaint, which is working on Dynamic Taint Analysis. AndroTaint follows a novel supervised and unsupervised Anomaly Detection technique with high precision, recall and harmonic mean. Our Dynamic Taint Analysis algorithm categorizes the App is risky, benign, malicious or aggressive as per their feature and behaviour. We have measured AndroTaint effectiveness on the basis of timeline for building dataset and 10-fold cross validation. AndroTaint covers 90% of malware and benign in analysis phase with less false positive and false negative
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Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19- a multi-theoretical approach
No full textThe extant literature suggests that digital technologies (big data analytics, artificial intelligence, blockchain) help firms gain a competitive advantage. However, the studies do not focus on the micro, small and medium enterprises (MSME) sector. Moreover, MSMEs face various challenges, including significant supply chain disruption due to the COVID-19 pandemic. Hence, there was an urgent requirement to shift to digital technologies to survive during this difficult time. In the context of MSME, various positive changes are discussed in the recent literature. However, a dearth of studies discusses the role of big data analytics capabilities (BDAC) to gain sustainable competitive advantage (SCA). Our study aims to fill this gap and answer this question – How do BDAC help MSMEs gain SCA? To understand the phenomenon, we receive theoretical support from organizational information processing theory (OIPT) and institutional theory (IT). We develop a conceptual framework that links BDAC and SCA through supply chain coordination, swift trust, and supply chain risk. Additionally, the age and size of the firm are used as control variables. The data is collected from Indian service sector employees of MSMEs, resulting in 497 usable responses. We use PLS-SEM using Warp PLS 7.0 to test the hypotheses. A critical finding is that the BDAC indirectly impacts the SCA. Finally, the other findings, limitations, and scope for future research are discussed
Acceleration of Functional Validation using GPGPU
No full textLogic simulation of a VLSI chip is a computationally intensive process. There exists an urgent need to map functional validation algorithms onto parallel architectures to aid hardware designers in meeting time-to-market constraints. In this paper, we propose three novel methods for logic simulation of combinational circuits on GPGPUs. Initial experiments run on two methods using benchmark circuits using NVIDIA GPGPUs suggest that these methods can be used for accelerating the EDA design flow process
DS_10.1177_0022034520970536 – Supplemental material for SARS-CoV-2 Detection in Gingival Crevicular Fluid
No full textSupplemental material, DS_10.1177_0022034520970536 for SARS-CoV-2 Detection in Gingival Crevicular Fluid by S. Gupta, R. Mohindra, P.K. Chauhan, V. Singla, K. Goyal, V. Sahni, R. Gaur, D.K. Verma, A. Ghosh, R.K. Soni, V. Suri, A. Bhalla and M.P. Singh in Journal of Dental Research</p
A power efficient crossbar arbitration in multi-NoC for multicast and broadcast traffic
No full textLarge scale chip multiprocessors employ a multi-NoC, consisting of multiple physical channels for inter-core communication. Placement of a custom arbitration logic can improve the critical path delay and relax the worst case timing closure of the network. In particular, it can effectively distribute and manage the traffic from the multi-threaded workloads among the multiple networks of the NoC. This paper gives the design and implementation of the arbitration logic at the router crossbars. The results are compared with baseline NoC and other multi-NoC architectures. The proposed energy efficient router saves up to 57% of the router power consumption.</p
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