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In the midst of all the applications empowered by the Internet of Things (IoT), constant health surveying framework is an especially essential one. The leg movement monitoring framework is utilized to recognize the beginning time of joint pain illness. Wearable sensor gadgets and Uric acid (UA) sensor utilized as a part of IoT health monitoring framework for joint inflammation ailment have been creating a gigantic measure of information on a nonstop premise with rapid, change of huge health facts, and identification of these infections present some significant issues. These can be overwhelmed by utilizing the proposed framework for health data transformation and alongside the calculation utilized for the discovery of human foot movement for the GOUT arthritis diagnosis. Sensitivity and specificity are computed to assess the Time wrapping calculation-based characterization display for Arthritis ailment. The exploratory outcomes demonstrated the adequacy of the dynamic time wrapping technique. At last, ROC examination is conducted to distinguish the most significance clinical and laboratory assessments to get joint inflammation (GOUT arthritis) and kidney ailment. [ABSTRACT FROM AUTHOR]

Byline: S. Vivekanandan, Dinesh. Nayak Sir, We read the article 'Microsurgical management of prolactinomas-Clinical and hormonal outcomes' as well as the accompanying editorial comment [sup][1] and would like to add [...]

Byline: S. Vivekanandan Sir, I read the article 'Acute dengue myositis with rhabdomyolysis and ARF' with interest. [sup][1] I would like to make the following comments. The clinical significance of [...]

This paper provides the capability with a control topology for low voltage distribution network to satisfy sudden peak load demand by designing a system. Develop the electric vehicle (EV) farm accumulated based on the charging system for voltage regulation at a distribution node for transmitting power to the grid from EVs by a control vehicle-to-grid operation. Also, this paper concerns with modelling of an EV system with dynamic interaction with grid integrated with major classifications from the state of charge (SOC). In EV farm, four various EV profiles were considered to understand the grid integration and supply the sudden peak load demand. The EV farm integration with the grid was observed by modelling an equivalent system in MATLAB/Simulink.

Byline: Dinesh. Khandelwal, Manvir. Bhatia, S. Vivekanandan, Sumit. Singh, Garima. Shukla, Vinay. Goyal, Madhuri. Behari Background: Monomelic amyotrophy (MMA) is a benign motor neuron disorder, which particularly affects young people [...]

Series Z-Source network, Associate in Nursing enlargement of the favored conception of Z-source dc link, was initially projected for enhancing the output voltage of power electronic inverters. Throughout this paper, that concept is extended on a three-phase indirect matrix converter. The converter depends on the ultra-sparse matrix topology characterized by the minimum vary of semiconductor switches. The series Z-source network is placed between the three-switch input rectifier stage and additionally the six-switch output electrical converter stage, in either the positive or negative rail. A short shoot-through state produces the voltage boost. Associate in Nursing optimum pulse breadth modulation technique is developed for higher boosting capability of the converter and reduce of switch losses. A comparison is made between the matrix converters mistreatment series and customary cascade Z-source networks. The inpouring current and Z-source capacitor's voltage are reduced inside the series Z-source matrix converter. [ABSTRACT FROM AUTHOR]

Production of clean, green solar PV (SPV) power in developing countries now becomes a trend because of their economic and technical benefits. Therefore, generating maximum power out of the SPV is a key searchable area. The SPV must produce power at its terminal at their maximum possible power. To reach to the maximum possible power, maximum power point tracker(MPPT) is used in conjunction with SPV. Extracting maximum power from SPV under varying partial shading condition is one of the important factor in performance improvement of SPV. The characteristics of classical MPPT controller is not acceptable under variable shading condition. A clear distinction between global maxima power point from global minima using MPPT technique must be needed for extracting maximum power. This paper proposes a P&O MPPT based particle swarm optimization with improved search space, optimised through Fuzzy Fokker Planck solution. The pre-defined search space has been introduced to provide fine tune to membership function used in Fuzzy logic controller. The partial shading performance has been examined under four different condition such as active partial shading, colour spectrum, dust level and green house gas (GHG) concentration. Both hardware and simulation studies has been carried out for the proposed techniques. The MATLAB simulation result and that of proposed MPPT, offer more and better performance in terms of algorithm convergence by enhancing the efficiency of system under varying shading condition.

Zinc is an essential cofactor for bacterial metabolism. Here, the authors show that the probiotic bacterium Escherichia coli Nissle 1917 utilizes the siderophore yersiniabactin as a zincophore, allowing the microbe to grow in zinc-limited media and to thrive in the inflamed gut.

In order to enhance the operational cost and efficient management of all the power system equipment in a micro grid requires proper forecasting of energy and scheduled power dispatch. Due to the uncertainties in the load demand and the interconnection of intermittent source of energy, the operational cost becomes high. The traditional grid also requires accurate prediction of per unit price in the electricity trading market. Electricity price forecasting plays a vital role. Time series based machine learning algorithm are generally used to calculate unit price in lieu of power loss in a smart grid architecture. However, while dealing with large data set, generated in every 15 s, it is very challenging and time consuming and at the same time large data set may create curve over fittings. In this paper, a novel approach has been made by combining both flower pollination algorithm and machine learning for forecasting the unit price. The proposed model comprises of three basic models such as feature selection, principal component analysis and novel hybrid model for optimization and regression. Three different sigma value such as 0.8,0.9 & 0.94 with Gaussian surface has been used to test the algorithm Finally, the algorithm has been tested with IoT architecture for robustness evaluation.

This paper discusses the performance of Double Fed Induction Generator (DFIG) and static synchronous compensator (STATCOM) in a transmission system using simulated annealing techniques. The rotor speed of DFIG is always changing with respect to wind speed in a nonlinear manner, which makes the system to be more unstable. Under such a condition the performance of the system is disturbed. To improve voltage stability throughout the line, an integration of STATCOM is essential at proper location of the transmission system. The STATCOM integrated DFIG system can enhance the system voltage profile and flexible flow of power in a transmission system. In case of a large disturbance or during the shunt fault condition, the performance study is very important which can be assessed using simulated annealing techniques. The proposed model present in this research work is a multi-objective optimization problem. The parameters for the objective function were identified as voltage at the point of common coupling of wind turbine and low frequency oscillation present in the post restored active power. Therefore a stochastic algorithm based on normalized simulated annealing has been applied where the performance of the system can be tested. Coordinated reactive power control combining with DFIG and STATCOM has been analysed together during various shunt fault condition. To achieve better performance of the system Low voltage rides through the capability of the wind farm and FRT (Fault Ride Through) have been tested under the presence of STATCOM including mutual coordinated control action.

Upper limb impairment following stroke is often characterized by limited voluntary control in the affected arm. In addition, significant motor coordination problems occur on the unaffected arm due to avoidance of performing bilateral symmetrical activities. Rehabilitation strategies should, therefore, not only aim at improving voluntary control on the affected arm, but also contribute to synchronizing activity from both upper limbs. The encoder-controlled functional electrical stimulator, described in this paper, implements precise contralateral control of wrist flexion and extension with electrical stimulation. The stimulator is calibrated for each individual to obtain a table of stimulation parameters versus wrist angle. This table is used to set stimulation parameters dynamically, based on the difference in wrist angle between the set and stimulated side, which is continuously monitored. This allows the wrist on the stimulated side to follow flexion and extension patterns on the set side, thereby mirroring wrist movements of the normal side. This device also gives real-time graphical feedback on how the stimulated wrist is performing in comparison to the normal side. A study was performed on 25 normal volunteers to determine how closely wrist movements on the set side were being followed on the stimulated side. Graphical results show that there were minor differences, which were quantified by considering the peak angles of flexion and extension on the set and stimulated side for each participant. The mean difference in peak flexion and extension range of movement was 2.3 degrees and 1.9 degrees, respectively, with a mean time lag of 1 s between the set and the stimulated angle graphs.

A single independent voltage source (Vin or Vbat) is used to regulate the speed of an E-vehicle (EV) with the same interval of switching pulses to generate different voltage ratios by charging/discharging the flying capacitors using a novel single-input multi-output (SIMO) DC-DC switched capacitor converter. In this work, various speed transmissions are generated for controlling the speed of EVs. The selected and regulated battery voltage are generated using the SIMO DC-DC converter. The proposed converter is used to generate seven different transmission in total, of which four transmissions are used for motoring (forwarding operation) and the other three transmissions act as regenerative braking. For motoring operation, the battery, fuel cell, and photovoltaic cell are used as a sources of energy, and for the regenerative braking, the regenerated voltage is fed back to store the battery. The SIMO DC-DC converter is used to support electronic accessories, such as LED lights, the EV audio system and other accessories, including mobile and laptop battery charging. The energy recovered during regenerative braking is used to charge the battery via a proposed SIMO DC-DC converter for different speed transmissions. In addition, simulation, modeling, and analysis are used to validate the proposed system. It is intended for a fixed voltage of 12 V and output voltages ranging from 12 to 48 V. The PSIM simulation tool is used to validate the system. The validation demonstrates that the suggested converter shows good evidence for both braking and regenerative braking operations.