International Journal of Science, Engineering and Technology1. PERFORMANCE COMPARISION OF 14T AND 10T CMOS FULL ADDER WITH REDUCED 8T CMOS FULL ADDER
SANGITA KUMARI, SWETA KUMARI, MANSI WAGHELA
2. PROVIDING STABLE TELECOMMUNICATIONBASEDONCYBER PHYSICAL SYSTEM AND UBIQUITOUS NETWORKS IN FI‐WI
P. MANOKARAN, S.SENTHIL KUMAR, V.G.SURESH
3. STUDIES ON POST CONSTRUCTIONAL SETTLEMENT PROBLEMS AT A SITE IN COCHIN
ALKA ABRAHAM, ANITHA MURALI, ANNA TOMY MANAVALAN, MABLE MATHEW, VEDIKA V
4. DEVELOPMENT AND MATHEMATICAL MODELLING OF PLANNING TRAJECTORY OF UNMANNED SURFACE VEHICLE
PROMIT CHOUDHURY, SRISHA DEO
5. PERFORMANCE STUDY OF SELF COMPACTING FLY ASH CONCRETE
SHIBI VARGHESE, ANJU EBRAHIM, NEETHU B, PRIYANKA TERESA MATHEW, REMYA MURALEEDHARAN
6. REMOTE ACCESS DESKTOP APPLICATION USING REMOTE FRAME BUFFER PROTOCOL
NAYAN A. GAIKWAD, PRITI P. DOKE , NEHA S. PARNERKAR, S.S.KULKARNI
7. SMART GRID INFRASTRUCTURE FOR EFFECTIVE POWER CONTROL USING CAN AND WSSM
A. BAMA, K. KUMAR
8. A Web Based Decision Support System by Fuzzy Expert Systems for Diagnosis of Typhoid Fever
Jasbir Singh
Climate Forecasting using Data Mining Techniques
Authors- Abhishek Shrivastava
Abstract- The tremendous significantly changes happen step by step in specific fields because of the improvement of cutting-edge innovation and nature one such among them is precipitation. The precipitation is the part of the horticulture and unfits to comprehend the rainstorm condition, predicting the harvest yield and the dirt ripeness. Information mining is the strategy used to remove learning from the arrangement of data. This paper gives an overview of various information mining procedures being utilized as a part of climate expectation or determining which helps the rancher yield commendable gainful and support the dirt richness, for example, manufactured sustain forward neural systems (ANNs), fluffy induction framework, choice tree strategy, time arrangement investigation, learning vector quantization (LVQ) and biclustering method.
Study of the Structural, Morphological, Vibrational & Optical Properties of Synthesized Eu3+-Doped ZnS Nanocrystals
Authors- Sanjay Kumar Dubey, A. K. Jaiswal
Abstract- Here, we have reported that the structural, morphological, elemental composition, vibrational & Optical properties of the synthesized ZnS: Eu3+ nanocrystals. X-ray diffraction (XRD), Scanning electron microscope (SEM), Photoluminescence (PL) and Fourier transform infrared spectroscope (FTIR) studies have been done on all these samples. XRD patterns have clearly shown the cubic phase structure is present. The crystallite sizes of these nanoparticles were calculated using the Scherrer’s equation and our estimated average crystallite size is 6.5 nm. The size of particle determined from the TEM image is close to the calculated value from XRD. In FESEM, Average particle size is found 5.5 nm. In EDS Spectra, the above figures confirm the presence of Zn, S, and Eu. No traces of other elements were noticed in the spectra indicating the purity of the samples. The role of dopant concentration of ZnS: Eu3+ nanocrystals and their photoluminescence properties are well investigated. It is found that photoluminescence properties are sensitive to the crystal structure which is controlled by dopant concentration. The emission intensity of the peak at 617 nm (5D0-7F2) of the Eu3+-ions is found to be sensitive to the doping of ZnS nanocrystals. In this present article, X-ray diffraction (XRD), Scanning electron microscope (SEM), HRTEM, EDS, Photoluminescence (PL) and Fourier transform infrared spectroscopy (FTIR) properties have been investigated in detail.