There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

Data Mining Practical Machine Learning Tools and Techniques

Multivariate data / Mathematical and statistical background / Exploring multivariate data graphically / Exploratory factor analysis / Correspondence analysis / Multidimensional scaling / Cluster analysis / Latent class analysis / Discriminant function analysis / Multivariate dependencies / Classical multivariate inference / Longitudinal data / Problems of measurement error / Confirmatory factor analysis and structural equation models.

Applied Multivariate Data Analysis

Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.  Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.  Indexed by Science Citation Index, Inspec, Compendex, DBLP, Computer Science Index, Current Abstracts, Current

ソフトコンピューティングの本質What is Soft Computing

Enhancing the optical and thermal efficiency of a parabolic trough collector – A review

The main objective of this paper is to perform data analysis of ground based measurement and review the state of the art of IIT Jodhpur Rooftop solar photovoltaic installed 101 kW system. Solar power forecasting is playing a key role in solar PV park installation, operation and accurate solar power dispatchability as well as scheduling. Solar Power varies with time and geographical locations and meteorological conditions such as ambient temperature, wind velocity, solar radiation and module temperature. The location of Solar PV system is the main reason of solar power variability. Solar variability totally depends on system losses (deterministic losses) and weather parameter (stochastic losses). In the case of solar power, deterministic losses can be found out accurately but stochastic losses are very uncertain and unpredicted in nature. The proposed soft computing technique will be suitable for solar power forecasting modeling. In this paper Fuzzy theory, Adaptive Neuro-fuzzy interface system, artificial neural network and generalized neural network are used as powerful tool of solar power Forecasting. This soft computing cum nature inspired techniques are able to accurately and fast forecasting compared to conventional methods of forecasting. This is done analyzing the operational data of 101 kW PV systems (43.30 kW located in Block 1 and 58.08 kW in Block 2), during the year 2011.

Generalized neural network methodology for short term solar power forecasting

Optimization of sputtered zirconium thin films as an infrared reflector for use in spectrally-selective solar absorbers

The proper analysis of PV power plant is one of the most crucial requirement for the development of technology, proper distribution and maintainance. This paper presents analysis and comparision of performance of two grid-connected photovoltaic plants which are situated at the same place but based on different module technologies. the monitored plants are 43 kW grid-connected amorphous-silicon system and 58 kW multicrystelline-silicon grid-connected PV system. The performance indices that are used for comparative study of systems are performance ratio, specific yield, reference yield, capture loss, system loss, system efficiency, PVUSA rating, and performance indicator based on ratio of ac power at PTC to dc power at STC. Three year monitored data from July 2011 to July 2014 since plant commissioned are used for the analysis. Major operation and maintainance issues that have occured during this period are also discussed.

Performance analysis of 58 kW grid-connected roof-top solar PV system

The Indian Institute of Technology, Jodhpur (IITJ) has been monitoring and recording all the parameter of 101 kW (43.30 kW A-Si PV system located in Block 1 and 58.08 kW C-Si PV system in Block 2) grid tied solar photovoltaic system over the 4 year. The paper present the operational data 43.30 kW amorphous silicon (A-Si) based PV system located at Block 1 and 58.08 kW crystalline silicon based PV system at Block 2 of IIT Jodhpur. This paper helps in a study of the performance and consistency of this system. This paper will estimate the theoretical and actual Power output, Energy yield of the both PV systems. During the year, the PV systems in Jodhpur, India have generated a 74922 kWh by C-Si PV and 55910 kWh solar energy by A-Si PV system. As a whole, the location of Solar PV system is the primary reason of energy variability and system production.

A comparative performance analysis of C-Si and A-Si PV based rooftop grid tied solar photovoltaic systems in Jodhpur

The sit-to-stand test (STS) is a simple test of function in older people that can identify people at risk of falls. The aim of this study was to develop two novel methods of evaluating performance in the STS using a low-cost RGB camera and another an instrumented chair containing load cells in the seat of the chair to detect center of pressure movements and ground reaction forces. The two systems were compared to a Kinect and a force plate. Twenty-one younger subjects were tested when performing two 5STS movements at self-selected slow and normal speeds while 16 older fallers were tested when performing one 5STS at a self-selected pace. All methods had acceptable limits of agreement with an expert for total STS time for younger subjects and older fallers, with smaller errors observed for the chair (−0.18 ± 0.17 s) and force plate (−0.19 ± 0.79 s) than for the RGB camera (−0.30 ± 0.51 s) and the Kinect (−0.38 ± 0.50 s) for older fallers. The chair had the smallest limits of agreement compared to the expert for both younger and older participants. The new device was also able to estimate movement velocity, which could be used to estimate muscle power during the STS movement. Subsequent studies will test the device against opto-electronic systems, incorporate additional sensors, and then develop predictive equations for measures of physical function.

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Vivek Vijay

Papers

Generalized neural network methodology for short term solar power forecasting

Optimization of sputtered zirconium thin films as an infrared reflector for use in spectrally-selective solar absorbers

Performance analysis of 58 kW grid-connected roof-top solar PV system

A comparative performance analysis of C-Si and A-Si PV based rooftop grid tied solar photovoltaic systems in Jodhpur

A Comparison of Four Approaches to Evaluate the Sit-to-Stand Movement