Assam Don Bosco University Journals
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Design and Development of Automation System For Biofloc Fish Farming
Get PDFBiofloc technology is an emerging environment friendly indoor aquaculture system that degrades organic waste by microorganisms and produces microbial flocs which are used as feed for the cultured organisms. Fish production in biofloc system is very high and hence this technology has gained increased popularity. However optimal control of the biofloc environment is necessary for obtaining a high yield. In this paper an automation system is designed for maintaining the temperature of the biofloc tank at the optimal value corresponding to the type of fish cultured. Temperature sensor has been used to measure the water temperature, which is processed by an Arduino board to control a heater immersed in the tank. An experimental set up has been developed to test the system
Managing Crowd Sourcing paradigm through Efficient blockchain technology
No full textCrowdsourcing paradigm has been getting increasingly popular in recent years. The crowdsourcing platform allows for the integration of a large number of workers in achieving complex goals. This is highly useful in the current scenario where unemployability looms large which is a major problem in many countries. Crowdsourcing allows effective utilization and management of the workforce which can be fruitful for both the worker as well as the requestor. One of the most essential problems in this platform is the low level of trust or security as well as low accountability. These factors limit the usability of the approach as well as the security that can be highly detrimental. Therefore, the approach stipulated in this article defines an innovative addition of the distributed blockchain framework to enhance the security of the approach significantly. The proposed methodology utilizes Entropy Estimation and Shannon information gain along with Decision Tree and the Blockchain distributed framework to achieve effective and secure implementation of the crowdsourcing paradigm. The experimental results conclude that the presented technique has performed exceptionally well in comparison with conventional methodologies
GENERATION OF SPECTRAL AND TIMING PROPERTIES OF CYGNUS X-2 USING ASTROSAT’S DATA
Get PDFWe present here AstroSat LAXPC and SXT observation of an X-ray Binary source focusing on neutron stars. X-ray binaries are a class of binary stars, so-called because they emit X-ray. These X-rays are produced by matter falling from one component called donor to another component, accretor. The donors are usually normal stars and accretor are collapsed stars which are very compact e.g. neutron stars, white dwarf or black hole. We have taken into study, Cygnus X-2, which is a 9.84 day period neutron star binary belonging to long-period lowmass X-ray binary type. It is one of the brightest and longest known X-ray source. Three observations are studied for which lightcurves are generated with time bin of 100s each for LAXPC and 23s each for SXT. Hardness ratios are plotted from the generated lightcurve. Spectra and power spectra are also generated within the energy range 4.0-80.0 keV for LAXPC and 0.3-8.0keV for SXT. Further analysis of these spectral and timing properties will be done. For timing analysis, Fourier transform is used and spectra will be fitted using 2 fitting
Structural, optical and gas sensing properties of barium titanate surface modified by nano silver
Get PDFPaper represents the results of SO2 sensing performance of BaTiO3 surface modified by nano silver. Surface modification was performed by dipping of BaTiO3 thick films in the synthesized nano silver. The main objective was to investigate the effect of nano silver on gas sensing performance of BaTiO3 perovskite. Different intervals of dipping time were used to find the optimum dipping amount on the surface of perovskite oxide. Synthesized silver was characterized by UV-visible spectroscopy and transmission electron microscopy. Surface modified thick films were analyzed for structural, morphological, electrical and gas sensing properties by XRD, SEM with EDX, static gas sensing unit respectively. Selectivity of surface modified BaTiO3 thick films was also investigated
A Python-based tool for spectral line identification in RGS spectra from XMM-Newton
Get PDFThe identification of absorption and emission lines due to atomic species in the spectra of a X-ray binaries can reveal a wealth of information regarding the composition and physics of the stellar atmosphere. With the availability of high-resolution X-ray spectra from the RGS equipment on-board the XMM-Newton satellite, the study of such lines offers valuable diagnostics into the behaviour and evolution of the source object. Currently, data related to various atomic transitions, which lead to line formation, are made publicly available in the form of credible databases, one of them being the Atomic Spectra Database (ASD) at the National Institute of Standards and Technology (NIST). This work seeks to provide a single Python-based tool that accesses the relevant atomic data at NIST ASD for a given set of atomic species in a specific wavelength range and then overlays these lines on top of an X-ray spectrum obtained by the RGS spectrum of the XMM-Newton. With this tool, the astronomer can perform the important preliminary task of rudimentary line identification, before proceeding to advanced analysis of the X-ray data
A Novel Scheme for the Early Diagnosis of Alzheimer’s Disease through MRI Analysis
No full textAlzheimer disease (AD) is the most common dementia type disease after the age of 65. This leads to cognitive disability to the person being affected. The existing methods are not able to definitely diagnose the disease at an earlier stage. Also, if we can diagnose the disease earlier, treatments can be given at a proper time. Accordingly, an innovative technique should be developed with good accuracy, specificity, and sensitivity. In this scenario, the Magnetic Resonance Imaging (MRI) can be utilized. In this research work, a method has been proposed using Discrete Wavelet Networks (DWNs). This method gives better results in case of MRI images
Image Encryption Using Meitei Lock Sequence Generated from Hash Functions
Get PDFProposed here is a secure image encryption scheme based on generalized Vigenere cipher and Meitei Lock Sequence (MLS) generated from standard hash functions. MLS is a unique random sequence of any length greater than 2 generated from a non-negative array having two or more elements. It is unique in the sense that no two arrays can generate the same sequence however close or similar the two arrays are. In other words, when there is any slight change in any of the input array, the generated MLS’s are drastically different. Also, the length of the sequence can be as infinitely long. These properties make MLS a good key string for a secure encryption scheme. SHA(Secure Hashing Algorithm) or any hash code generator has desirable feature which can be used for generation of MLS. In a hash code generator, it produces unique fixed length sequence from any input string, if there is any slight change in the input, the generated output will be totally different. This feature is made used of in generating an MLS of any desired length for use in the proposed image encryption scheme. Experimental results show that the proposed encryption scheme is a secure encryption scheme. The correlation coefficient between the original image and encrypted images are negligibly small indicating that there is no trace of original image information in the encrypted image. Also, the correlation coefficients between the original image and decrypted images with wrong passwords which are close to the encryption password are also negligibly small. These show the tightness of the key system in the encryption scheme.
Fabrication and electrical characterization of Organic Field-Effect Transistor based on CSA doped PANi-Ta2O5 nanocomposite
Get PDFTop-contact, bottom-gate organic field-effect transistors (OFETs) based on Polyaniline (PANi)-Tantalum Pentoxide (Ta2O5) nanocomposite doped with Camphor Sulphonic Acid (CSA) as the active semiconductor layer and Poly Methyl Methacrylate (PMMA) as the gate dielectric were investigated. Gold was thermally evaporated for the top source and drain contacts of 80-90 nm thickness with a conducting channel of 1 mm length and 1cm width. A relatively good charge carrier mobility of 0.12 cm2/V-s was achieved. This may be ascribed to the highly crystalline nature of the nanocomposite, the diminished contact resistance due to the long channel and the symbiosis developed between the organic semiconductor and the polymer dielectric. The smaller source-to-drain current and high saturation drain voltage may be accounted for the long channel effect. The device exhibited a threshold voltage of -12.89 V, a moderate current on/off ratio of ~103 and a subthreshold swing of 9.3 V/dec. The agglomerated globular morphology of the PANi nanocomposite and the high carrier mobility can immensely contribute towards using the OFET device for room-temperature based application, particularly in the gas sensing field
Adaptive thresholding based optimal rate and MIMO mode selection scheme for IEEE 802.11n WLAN
Get PDFThe emergence of multiple antenna technology in IEEE 802.11n WLAN has resulted in performance improvement in terms of throughput as well as transmission reliability as compared to legacy standards. Link adaptive transmission is critical to WLAN. Most of the existing algorithms for MIMO mode adaptation (between spatial multiplexing and diversity encoding) use fixed SNR switching thresholds for rate selection. The use of a fixed threshold in both MIMO modes, however, can only provide smaller throughput gain. The present studies on link adaptation do not consider the fundamental characteristic difference in the diversity encoding and spatial multiplexing encoding for MIMO. In this paper we propose a novel adaptive thresholding based optimal rate and MIMO mode (ORMM) algorithm for 802.11n wireless network. The proposed scheme adaptively switches between two SNR switching threshold vectors, separately determined for each MIMO mode analytically. Simulations over the Rayleigh fading channel shows that ORMM outperforms the existing approach of MIMO rate adaptation based on the use of fixed switching thresholds for rate selection