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

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Smart water quality monitoring system with cost-effective using IoT.

Recent progress in sensing nitrate, nitrite, phosphate, and ammonium in aquatic environment

A bipedal walking robot is a kind of humanoid robot. It is suppose to mimics human behavior and designed to perform human specific tasks. Currently, humanoid robots are not capable to walk like human being. To perform the walking task, in the current work, human gait data of six different walking styles named brisk walk, normal walk, very slow walk, medium walk, jogging and fast walk is collected through our configured IMU sensor and mobile-based accelerometers device. To capture the pattern for six different walking styles, data is extracted for hip, knee, ankle, shank, thigh and foot. A total six classes of walking activities are explored for clinical examination. The accelerometer is placed at center of the human body of 15 male and 10 female subjects. In the experimental setup, we have done exploratory analysis over the different gait capturing techniques, different gait features and different gait classification techniques. For the classification purpose, three state of art techniques are used as artificial neural network, extreme learning machine and deep neural network learning based CNN mode. The model classification accuracy is obtained as 87.4%, 88% and 92%, respectively. Here, WISDM activity data set is also used for verification purpose.

Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor

Since the effective and efficient system of water quality monitoring (WQM) are critical implementation for the issue of polluted water globally, with increasing in the development of Wireless Sensor Network (WSN) technology in the Internet of Things (IoT) environment, real time water quality monitoring is remotely monitored by means of real-time data acquisition, transmission and processing. This paper presents a reconfigurable smart sensor interface device for water quality monitoring system in an IoT environment. The smart WQM system consists of Field Programmable Gate Array (FPGA) design board, sensors, Zigbee based wireless communication module and personal computer (PC). The FPGA board is the core component of the proposed system and it is programmed in very high speed integrated circuit hardware description language (VHDL) and C programming language using Quartus II software and Qsys tool. The proposed WQM system collects the five parameters of water data such as water pH, water level, turbidity, carbon dioxide (CO2) on the surface of water and water temperature in parallel and in real time basis with high speed from multiple different sensor nodes.

/pdf/reconfigurable-smart-water-quality-monitoring-system-in-iot-2v4cr0oe66.pdf

Reconfigurable smart water quality monitoring system in IoT environment

In low power circuit design, reversible computing has become one of the most efficient and prominent techniques in recent years In this paper, reversible Arithmetic and Logic Unit (ALU) is designed to show its major implications on the Central Processing Unit (CPU)In this paper, two types of reversible ALU designs are proposed and verified using Altera Quartus II software In the proposed designs, eight arithmetic and four logical operations are performed In the proposed design 1, Peres Full Adder Gate (PFAG) is used in reversible ALU design and HNG gate is used as an adder logic circuit in the proposed ALU design 2 Both proposed designs are analysed and compared in terms of number of gates count, garbage output, quantum cost and propagation delay The simulation results show that the proposed reversible ALU design 2 outperforms the proposed reversible ALU design 1 and conventional ALU design

Design and synthesis of reversible arithmetic and Logic Unit (ALU)

In internet of things (IT) environment, a sensor interface device is essential for data collection in wireless sensor network (WSN) system for water quality monitoring (WQM) as the water pollution is a critical issue globally. This paper presents the design of a WSN based reconfigurable smart sensor interface device for WQM system in an IoT environment. The system consists of Field Programmable Gate Array (FPGA) design board, sensors, ZigBee based wireless communication module and personal computer (PC). The FPGA board performs as the heart of the proposed WQM system and it is programmed in very high speed integrated circuit hardware description language (VHDL) and C++ using Qsys tool and Nios-II SBT for Eclipse in Quartus II software. The proposed system collects the data of water quality such as water pH, water level, turbidity, carbon dioxide (CO 2 ) on the surface of water and water temperature in parallel and in real-time basis with high speed from five different sensor nodes. The performance of the proposed reconfigurable WSN system is verified through computer simulation and laboratory experiments.

WSN-based reconfigurable water quality monitoring system in IoT environment

A novel global MPPT technique using improved PS-FW algorithm for PV system under partial shading conditions

Generalized Frequency Division Multiplexing (GFDM) has been considered as an attractive candidate to replace Orthogonal Frequency Division Multiplexing (OFDM) for the fifth generation (5G) mobile networks. GFDM system has better spectral characteristics compared to the OFDM system due to the use of properly selected pulse shaping filters. Non-causal ideal filters, such as the raised cosine (RC), are commonly used in the GFDM systems. In practical implementation, non-causal filters need to be truncated and shifted, which will increase the out-of-band (OOB) radiation of the signal and will introduce delay to the system. High OOB radiation will cause interferences between the adjacent channels, thus it should be minimized. This paper proposes to minimize the OOB radiation of the GFDM system using the designed pulse shaping filters. The pulse shaping filters are designed using the computationally efficient quadratic programming (QP) approach. Numerical results illustrate that OOB radiation level of the GFDM system is lower when the QP filters are used compared to the conventional RC filter. Further investigation shows that the use of the QP filters are efficient in increasing the high power amplifier (HPA) efficiency, improving the spectral efficiency, and reducing the BER at the receiver.

/pdf/performance-of-gfdm-systems-using-quadratic-programming-3oga3ib913.pdf

Lenin Gopal

Papers

Reconfigurable smart water quality monitoring system in IoT environment

Design and synthesis of reversible arithmetic and Logic Unit (ALU)

WSN-based reconfigurable water quality monitoring system in IoT environment

A novel global MPPT technique using improved PS-FW algorithm for PV system under partial shading conditions

Performance of GFDM Systems Using Quadratic Programming Pulse Shaping Filter Design