750 research outputs found
Adaptive Intrusion Detection in Edge Computing using Cerebellar Model Articulation Controller and Spline Fit
Internet-of-Thing (IoT) faces various security attacks. Different solutions exist to mitigate the intrusion problems. However, the existing solutions lack behind in dealing with heterogeneity of attack sources and features. The future anticipated demand of devices' connections also urge the need of new solutions addressing the concerns of time consumption and complexity. In this article, we show a novel solution for the intrusion detection in IoT framework. We configure the intrusion detection in the edge computing layer so that the effect of the attack is not propagated to the clouds. Our solution uses cerebellar model articulation controller with kernel map. This combination is very new in the direction of intrusion detection; hence, it emphasizes the novelty of our proposed intrusion detection solution. We name our solution as Cerebellar Model Articulation Controller based Intrusion Detection System (CMACIDS). Additionally, we use spline fitting to the kernel mapping for the model fit; this adds on another novel contribution to CMACIDS. The results obtained with our detection system are compared with the state-of-the-art solutions in terms of complexity, false alarms, and precision of detection. The analysis of the comparative study proves the efficiency of the solution and makes CMACIDS suitable for IoT paradigm. </p
Recurrent mucoepidermoid carcinoma of the left lower eyelid: A common tumor in a rare site
Interactive and intuitive Science Technology Engineering and Mathematics accessibility system
Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 51-54).I present an intuitive and interactive platform to make complex STEM (Science Technology Engineering and Mathematics) educational materials accessible to blind and visually impaired people using a mini-hyper-Braille device with almost no loss of information as compared to printed materials. I have come up with a novel way to increase the effective resolution of the Braille device by adding a mechanical XY gantry. Using this XY gantry enables us to create an ultra-high resolution, larger surface Braille device without paying the prohibitive price charged for the bigger hyper Braille displays available in the market. In addition to that, to further augment usability and intuitiveness of our system, we have integrated a Nod-ring, which is a tiny finger-worn device for supporting additional hand gestures such as zoom in and out. Previous studies have shown that the use of zoom and pan can increase usability and improve the understanding of tactile graphics. Along with zooming and panning, our system uses vibrating patterns, rhythmic motions, synthetic voice and synchronized voiced-vibrations to convey information to blind users in an intuitive way. We also implemented a touch gesture recognition framework on our touch enabled Braille device. Using these touch gestures and a high quality synthetic voice, we have developed a highly responsive system for providing voice annotations of the graphics content. An important contribution of this work is the implementation of a high-quality system for automatic transcription of STEM (including difficult math Nemeth translations) books into Braille. Learning resources for blind people are quite sparse and transcription of STEM material is a very expensive and time consuming process. Using our automated transcription platform it is easy, fast and inexpensive for publishers to transcribe STEM books into Braille books. The scope of this automated transcription platform is not only limited to STEM books but it can be used for transcription of any content/book/web-page available online.by Rahul Kumar Namdev.S.M. in Computer Science and Engineerin
A qualitative study on supply chain risk management adopting blockchain technology.
A blockchain refers to a digital ledger of transactions that is duplicated and distributed across the network of computers in blocks. This study attempts to present Blockchain Technology (BCT) as an effective tool for managing risks inherent in supply chain. Based on extant literature and experts’ opinion collected through in-depth interviews, a general impression is drawn on the current state of BCT as an application in supply chains of organizations. A qualitative study based on Interpretivism theory was conducted where experts from related domain were interviewed on various themes related to BCT and its role in Supply Chain Risk Management (SCRM). It was discovered that the concept of Blockchain is relatively new and is mostly unexplored in the Supply Chain Management (SCM). Moreover, there exists confusion among people regarding the distinction between blockchain and bitcoin. This leads to unwillingness to adopt BCT in managing risks in supply chain. All the experts collectively agreed that traceability, immutability, and transparency features of blockchain can improve the risk management of supply chains
Internet-of-Forensic (IoF): A blockchain based digital forensics framework for IoT applications
Digital forensic in Internet-of-Thing (IoT) paradigm is critical due to its heterogeneity and lack of transparency of evidence processing. Moreover, cross-border legalization makes a hindrance in such process pertaining to the cloud forensic issues. This urges a forensic framework for IoT which provides distributed computing, decentralization, and transparency of forensic investigation of digital evidences in cross-border perspectives. To this end, we propose a framework for IoT forensics that addresses the above mentioned issues. The proposed solution called Internet-of-Forensics (IoF) considers a blockchain tailored IoT framework for digital forensics. It provides a transparent view of the investigation process that involves all the stakeholders (e.g., heterogeneous devices, and cloud service providers) in a single framework. It uses blockchain-based case chain to deal with the investigation process including chain-of-custody and evidence chain. Consensus is used for consortium to solve the problems of cross-border legalization. This is also beneficial for a transparent and ease of forensic reference. The programmable lattice-based cryptographic primitives produce reduced complexities. It shows benefits for power-aware devices and puts an add-on to the novelty of the presented idea. IoF is generic; hence, it can be used by autonomous security operation centers, cyber-forensic investigators and manually initiated evidences under chain-of-custody for man-made crimes. Security services are assured as required by the framework. IoF is experimented and compared with the other state-of-the-art frameworks. The outcomes and analysis prove the efficiency of IoF concerning complexity, time consumption, memory and CPU utilization, gas consumption, and energy analysis
CMS Outer Tracker Module Production and Integration at NISER
In the LHC long shutdown 3, due to start in mid-2026, the LHC will be upgraded to the High-Luminosity LHC. To address the challenges for operation at the HL-LHC, such as an increased interaction rate and higher radiation levels, an upgrade of the tracking system of the CMS detector is being built. The new CMS Outer Tracker will feature silicon-based detector modules with on-module track-stub selection based on transverse momentum. At NISER, India, efforts focus on assembling 2S modules with two silicon strip sensors and about four thousand readout channels. Each module integrates radiation-hard ASICs, high-speed optical transmitters, and DCDC converters. After assembly, every module undergoes thorough electronic noise characterisation at C and C. Once characterised, modules are integrated into larger structures called ladders, where additional readout tests and temperature cycling validate durability before shipment to CERN. This multi-stage assembly process follows stringent quality control measures and relies on state-of-the-art machinery, including precision glue dispensers, optical metrology, and ultrasonic wire bonders. These efforts are evidence of NISER's strong commitment to the success of the HL-LHC project
Synthesis and characterization of a new photoluminescent aluminium complex bis (8-hydroxyquinoline) (2,2’bipyridine) aluminium Al(Bpy)q2
Prognostic implications of CD-57 expression in oral squamous cell carcinoma cases
Natural killer (NK) cells are one of the most important effector T -lymphocytes having antitumor effect. Only a few studies are present in the literature, correlating the expression of cluster of differentiation 57 (CD-57) in NK cells in oral squamous cell carcinoma (OSCC). To analyze the effect of the presence of NK cells in the stroma of OSCC and their effect on the tumor progression and prognosis. A retrospective study was performed over 122 OSCC patients who had undergone surgical treatment between 2014 and 16. Wax blocks were obtained and subjected to immunohistochemical (IHC) analysis for CD-57 expression. Patients were followed up for 3 years and 100 cases were finally included in the study and divided into three groups. The association between variable were studied through the Chi-square test, Kruskal–Wallis test, and Mann–Whitney U test. A total of 91% of cases showed positive staining for CD-57. Maximum positive expression (96.6%) was observed in the patients who were alive and without recurrence (Group-II) as compared to dead patients (Group-I) and in well-differentiated squamous cell carcinoma (WDSCC) cases (96.8%) than in poorly differentiated cases. Also, the mean CD-57 positive cells count was found to be highest in Group-II and WDSCC cases. A significant correlation was observed between CD-57 expression and patients' health status. As the expression of CD-57 increased in the tumor stroma of OSCC, the chances for the patient to be alive were increased; therefore, it may serve as a good prognostic marker
Modern molecular approaches for analyzing microbial diversity from mushroom compost ecosystem
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