Speed Control of DC Motor using Pid Controller Based on Matlab

This paper is to design PID controller to supervise and control the speed response of the DC motor and MATLAB program is used for calculation and simulation PID controllers are widely used in a industrial plants because of their simplicity and robustness. Industrial processes are subjected to variation in parameters and parameter perturbations. We are choosing PID parameters and discussed Key words: DC motor, PID controller, MATLAB representatio

Automatic Railway track Inspection for early warning using Real time image Processing with GPS

Railroad assessment assumes an indispensable part for the correct working of the rail line frameworks; in the past its done manual investigation yet has a few ambiguities. Modified vision based audit systems are engaged to look at the stipulation of rail track. Thusly system fabricates the capability of audit, reduces the required time and giving a more exact and ceaseless information of the railroad track. To give the continuous screens and assistant condition for railroad track using "vision based" and "vibration based" strategy for wellbeing reason. Thusly we can bolster exactness, adequacy and steadfastness. PC vision frameworks have been especially made to be used with the model. The structure delineated in this suggestion makes use of different standard and balanced picture get ready systems, not simply to facilitate the necessities for manual examinations, furthermore to allow steady checking and taking after of any blemishes or varieties from the standard in a rail track. Hereafter to keep up a vital separation from deferments, our propose structure will thusly survey the railroad track by using vision based and vibration based technique. The system gives continuous watching and essential condition for railroad track using vision based procedure and change in accordance with look for the inadequacy range on the track. An examination join perceiving disfigurements on tracks, missing shocks, stay, tie plate and fastens et cetera

Evaluation of Mass Drug Administration to Eliminate Lymphatic Filariasis in Surguja and Surajpur District, Chhattisgarh

Background: Mass Drug Administration of a single dose of DEC was launched on June 5, 2004 by the Government of India. MDA coverage increased gradually from 72.42% in 2004 to 88.96% in 2014. However, compliance has remained relatively low in most of the endemic areas as in 9 endemic Districts in State of Chhattisgarh. In Chhattisgarh State, Lymphatic Filariasis affected 14,818 people in the year 2011 and 13921 in the year 2013 with demonstrated manifestation. Objectives: To assess the coverage and compliance along with factors affecting compliance regarding MDA implementation in Surguja and Surajpur District of Chhattisgarh. Methods: A cross-sectional descriptive study was conducted from July-September 2021 in two district of Chhattisgarh. The division of segments and selection of the households was done based on the WHO criteria of coverage evaluation survey field guide in which from 30 villages, 450 households were covered. Result:  The overall coverage rate was 95.55% in Surguja and 89.16% in Surajpur District. The overall compliance was 89.3% with Coverage-Compliance gap of 4.12. The Effective Coverage Rate was 89.3% in 2243 eligible population of Surguja and Surajpur District. Coverage and Compliance was found more in females as compared to males but was found to be statistically not significant.  Coverage and Compliance was found more in Surguja district as compared to Surajpur district. Conclusion: Training programme for drug distributors should emphasize more on how to address the fear of side effects among beneficiaries and other reasons of low compliance for the benefit of the MDA programme

Coin Based Solar Mobile Charger

Energy plays a very important role for powering the system to work well either in Humans or in any artificial system. Communication is fundamental need for humans and a mobile system provides the power to communicate with the world so easily. Mobile phone is like a part of our day to day life. Without it, one feels incomplete and unsecure because most of the work is done with the help of it. Smartphone is the most common gadget in cities and also in the small towns now. But a big backlog of this phone is high battery consumption due to several features. Thus, most of the time the smart phones users runs out of battery, suppose on a Railway station a person is waiting for train by enjoying music on phone or surfing internet for any important information and suddenly run out of battery. That time if the charging facility is available somewhere then it is like boon. So, this necessity is being conceptualized in this paper. A Coin Insertion based mobile charger can be useful in today’s scenario. It can be used on bus stations, railway compartments, railway stations, etc

Construction of Data Driven Decomposition Based Soft Sensors with Auto Encoder Deep Neural Network for IoT Healthcare Applications

The architecture of IoT healthcare is motivated towards the data-driven realization and patient-centric health models, whereas the personalized assistance is provided by deploying the advanced sensors. According to the procedures in surgery, in the emergency unit, the patients are monitored till they are stable physically and then shifted to ward for further recovery and evaluation. Normally evaluation done in ward doesn’t suggest continuous parameters monitoring for physiological condition and thus relapse of patients are common. In real-time healthcare applications, the vital parameters will be estimated through dedicated sensors, that are still luxurious at the present situation and highly sensitive to harsh conditions of environment. Furthermore, for real-time monitoring, delay is usually present in the sensors. Because of these issues, data-driven soft sensors are highly attractive alternatives. This research is motivated towards this fact and Auto Encoder Deep Neural Network (AutoEncDeepNN) is proposed depending on Health Framework in the internet assisting the patients with trigger-based sensor activation model to manage master and slave sensors. The advantage of the proposed method is that the hidden information are mined automatically from the sensors and high representative features are generated by multiple layer’s iteration. This goal is consistently achieved and thus the proposed model outperforms few standard approaches which are considered like Hierarchical Extreme Learning Machine (HELM), Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). It is found that the proposed AutoEncDeepNN method achieves 94.72% of accuracy, 41.96% of RMSE, 34.16% of RAE and 48.68% of MAE in 74.64 ms

A retrospective study of 72 cases diagnosed with idiopathic trigeminal neuralgia in indian populace

Context: Trigeminal neuralgia is as a chronic, debilitating condition, which can have a major impact on quality of life. There are few reports of trigeminal neuralgia in oriental populations. Objectives: To evaluate the retrospective data of the patients diagnosed with idiopathic trigeminal neuralgia and to understanding the disorder in the Indian populace. Methods: The retrospective data of 72 patients with typical idiopathic trigeminal neuralgia regarding age of onset, gender, site of involvement, clinical presentations and treatment received during three years of the follow up was collected and analyzed. Results: In the present retrospective study, the mean age was 54.9 years; female to male ratio was 2.13:1; rural to urban ratio 1.76:1 with 62.5% suffered trigeminal neuralgic pain on the right side. Carbamazepine was found to be highly effective in 60.8% of the cases on long-term basis with maintenance doses. Other treatment modalities were employed in more refractory cases including add-on of gabapentin, which relieved the symptoms for an additional duration of 13±3months. The neurolytic alcohol bloc was given in 30% of patients who stopped responding to com - bination of carbamazepine and gabapentin and relieved pain for a mean duration of 17.25±2.95 months. Twenty three percent of the patients (23%) required peripheral neurectomy. Conclusions: Carbamazepine was found to be highly effective in trigeminal neuralgia. Other treatment modality includes add-on of gabapentin, neurolytic alcohol blocs and peripheral surgical intervention in more refractory cases. Only limited cases needed further neurological consideration

Wind Energy Conversion System With Permanent Magnetic Synchronous Generator

This paper presents a study on grid-connected WECS with PMSG. The application of non-conventional energy resources develops much rapidly to improve low carbon energy resources in India. Nowadays, we are going to depend on solar, wind for the fulfillment of energy demand. Wind energy applications develop much more rapidly than other renewable resources such as solar, geothermal, and so on in the 21st century. It becomes the third core energy resource following non-conventional fuels as oil and chemical. The electrical energy generated by wind power plants is the best developing and most promising renewable energy source. The wind is a clean, free, and limitless energy source. Wind Energy Generation Systems (WECS) are confronted with increasing demands for power quality and harmonic distortion control. With the advance in power electronics technology, the fast growth of variable speed WECS is now witnessed

IL-17 Receptor Signaling in Oral Epithelial Cells Is Critical for Protection against Oropharyngeal Candidiasis

Signaling through the IL-17 receptor (IL-17R) is required to prevent oropharyngeal candidiasis (OPC) in mice and humans. However, the IL-17-responsive cell type(s) that mediate protection are unknown. Using radiation chimeras we were able to rule out a requirement for IL-17RA in the hematopoietic compartment. We saw remarkable concordance of IL-17-controlled gene expression in C. albicans-infected human oral epithelial cells (OECs) and in tongue tissue from mice with OPC. To interrogate the role of the IL-17R in OECs, we generated mice with conditional deletion of IL-17RA in superficial oral and esophageal epithelial cells (Il17ra(ΔK13)). Following oral Candida infection, Il17ra(ΔK13) mice exhibited fungal loads and weight loss indistinguishable from Il17ra(−/−) mice. Susceptibility in Il17ra(ΔK13) mice correlated with expression of the antimicrobial peptide β-defensin 3 (BD3, Defb3). Consistently, Defb3(−/−) mice were susceptible to OPC. Thus, OECs dominantly control IL-17R-dependent responses to OPC through regulation of BD3expression

An overview of anti-diabetic plants used in Gabon: Pharmacology and Toxicology

© 2017 Elsevier B.V. All rights reserved.Ethnopharmacological relevance: The management of diabetes mellitus management in African communities, especially in Gabon, is not well established as more than 60% of population rely on traditional treatments as primary healthcare. The aim of this review was to collect and present the scientific evidence for the use of medicinal plants that are in currect by Gabonese traditional healers to manage diabetes or hyperglycaemia based here on the pharmacological and toxicological profiles of plants with anti-diabetic activity. There are presented in order to promote their therapeutic value, ensure a safer use by population and provide some bases for further study on high potential plants reviewed. Materials and methods: Ethnobotanical studies were sourced using databases such as Online Wiley library, Pubmed, Google Scholar, PROTA, books and unpublished data including Ph.D. and Master thesis, African and Asian journals. Keywords including ‘Diabetes’ ‘Gabon’ ‘Toxicity’ ‘Constituents’ ‘hyperglycaemia’ were used. Results: A total of 69 plants currently used in Gabon with potential anti-diabetic activity have been identified in the literature, all of which have been used in in vivo or in vitro studies. Most of the plants have been studied in human or animal models for their ability to reduce blood glucose, stimulate insulin secretion or inhibit carbohydrates enzymes. Active substances have been identified in 12 out of 69 plants outlined in this review, these include Allium cepa and Tabernanthe iboga. Only eight plants have their active substances tested for anti-diabetic activity and are suitables for further investigation. Toxicological data is scarce and is dose-related to the functional parameters of major organs such as kidney and liver. Conclusion: An in-depth understanding on the pharmacology and toxicology of Gabonese anti-diabetic plants is lacking yet there is a great scope for new treatments. With further research, the use of Gabonese anti-diabetic plants is important to ensure the safety of the diabetic patients in Gabon.Peer reviewedFinal Accepted Versio

Binding of Gemini Bisbenzimidazole Drugs with Human Telomeric G-Quadruplex Dimers: Effect of the Spacer in the Design of Potent Telomerase Inhibitors

The study of anticancer agents that act via stabilization of telomeric G-quadruplex DNA (G4DNA) is important because such agents often inhibit telomerase activity. Several types of G4DNA binding ligands are known. In these studies, the target structures often involve a single G4 DNA unit formed by short DNA telomeric sequences. However, the 3′-terminal single-stranded human telomeric DNA can form higher-order structures by clustering consecutive quadruplex units (dimers or n-mers). Herein, we present new synthetic gemini (twin) bisbenzimidazole ligands, in which the oligo-oxyethylene spacers join the two bisbenzimidazole units for the recognition of both monomeric and dimeric G4DNA, derived from d(T2AG3)4 and d(T2AG3)8 human telomeric DNA, respectively. The spacer between the two bisbenzimidazoles in the geminis plays a critical role in the G4DNA stability. We report here (i) synthesis of new effective gemini anticancer agents that are selectively more toxic towards the cancer cells than the corresponding normal cells; (ii) formation and characterization of G4DNA dimers in solution as well as computational construction of the dimeric G4DNA structures. The gemini ligands direct the folding of the single-stranded DNA into an unusually stable parallel-stranded G4DNA when it was formed in presence of the ligands in KCl solution and the gemini ligands show spacer length dependent potent telomerase inhibition properties