http://dspace.cus.ac.in/jspui/handle/1/3088 Mon, 06 Apr 2026 17:14:34 GMT 2026-04-06T17:14:34Z http://dspace.cus.ac.in/jspui/handle/1/6426 Title: Internet of things-based approximation of sun radiative-evapotranspiration models Authors: Ray, Partha Pratim Mon, 01 Jan 2018 00:00:00 GMT http://dspace.cus.ac.in/jspui/handle/1/6426 2018-01-01T00:00:00Z http://dspace.cus.ac.in/jspui/handle/1/6425 Title: Continuous glucose monitoring: a systematic review of sensor systems and prospects Authors: Ray, Partha Pratim Abstract: Purpose: Continuous glucose monitoring (CGM) is a notable invention introduced in the biomedical industry. It provides valuable information about intermittent capillary blood glucose that is normally unattainable by regular clinical blood sample tests. CGM includes several progressive facilities such as instantaneous and real-time display of blood glucose level, “24/7” coverage, continuous motion of alerts for actual or impending hypo- and hyperglycemia and the ability to characterize glycemic variability. CGM allows users and physicians to visualize and diagnose more accurate and precise rate of change of glucose by capacitating small, comfortable, user-friendly sensor devices. Sometimes, this vital information is shared to the personal message box over Internet. In short, CGM is capable to inform, educate, motivate and alert (IEMA) people with diabetes. Despite the huge expectation with CGM, the available solutions have not attracted much attention among people. The huge potential of CGM in future diabetic study relies on the successful implication of the CGM. This paper aims at disseminating of state-of-the-art knowledge about existing work around the CGM. Design/methodology/approach: This paper presents a comprehensive systematic review on the recent developments in CGM development techniques that have been reported in credible sources, namely PubMed, IEEE Xplore, Science Direct, Springer Link, Scopus and Google Scholar. Detailed analysis and systematic comparison are provided to highlight the achievement and future direction of CGM deployment. Findings: Several key challenges are also portrayed for suitable opportunistic orientation. CGM solutions from four leading manufacturers such as Tandem, Dexcom, Abbott and Medtronic are compared based on the following factors including accuracy (% MARD); sensor lifetime, calibration requirement, smart device, compatibility and remote monitoring. Qualitative and quantitative analyses are performed. Mon, 01 Jan 2018 00:00:00 GMT http://dspace.cus.ac.in/jspui/handle/1/6425 2018-01-01T00:00:00Z http://dspace.cus.ac.in/jspui/handle/1/6409 Title: A detection framework for semantic code clones and obfuscated code Authors: Sheneamer, Abdullah; Roy, Swarup; Kalita, Jugal Abstract: Code obfuscation is a staple tool in malware creation where code fragments are altered substantially to make them appear different from the original, while keeping the semantics unaffected. A majority of the obfuscated code detection methods use program structure as a signature for detection of unknown codes. They usually ignore the most important feature, which is the semantics of the code, to match two code fragments or programs for obfuscation. Obfuscated code detection is a special case of the semantic code clone detection task. We propose a detection framework for detecting both code obfuscation and clone using machine learning. We use features extracted from Java bytecode dependency graphs (BDG), program dependency graphs (PDG) and abstract syntax trees (AST). BDGs and PDGs are two representations of the semantics or meaning of a Java program. ASTs capture the structural aspects of a program. We use several publicly available code clone and obfuscated code datasets to validate the effectiveness of our framework. We use different assessment parameters to evaluate the detection quality of our proposed model. Experimental results are excellent when compared with contemporary obfuscated code and code clone detectors. Interestingly, we achieve 100% success in detecting obfuscated code based on recall, precision, and F1-Score. When we compare our method with other methods for all of obfuscations types, viz, contraction, expansion, loop transformation and renaming, our model appears to be the winner. In case of clone detection our model achieve very high detection accuracy in comparison to other similar detectors. Sun, 01 Jan 2017 00:00:00 GMT http://dspace.cus.ac.in/jspui/handle/1/6409 2017-01-01T00:00:00Z http://dspace.cus.ac.in/jspui/handle/1/6325 Title: Communicating through visible light: Internet of things perspective Authors: Ray, Partha Pratim Fri, 01 Jan 2016 00:00:00 GMT http://dspace.cus.ac.in/jspui/handle/1/6325 2016-01-01T00:00:00Z