IOT BASED ALCOHOL DETECTION FOR INDUSTRY WORKERS

Nowadays there are so many accidents happening in the industries (Mechanical, chemical) due to the workers who consume alcohol during their work period. In order to prevent and reduce the rate of accidents happening in the industry, there are few preventive measures which has been evolved. Now we use new methods and technology for detecting the alcohol consumption of the worker. For this we use alcohol sensor which is placed along with the biometric attendance system. The workers have to pass the alcohol detection test then only they can able to proceed for their biometric attendance. If the worker does not pass the alcohol detection test then that worker would not be able to register for the biometric attendance system. This alcohol detection system is kept in a room that capable of detecting only one person at a time

Correlation of HbA1c with urinary ACR, serum creatinine and eGFR in type-2 diabetes mellitus at Puducherry, South India

Background: Diabetes Mellitus (DM) is a major emerging clinical health problem in this world. Anemia is a common problem in diabetes. Type 2 DM comprises about 90% of diabetic population of any country.Methods: A cross-sectional study carried out among 125 type 2 diabetic mellitus patients’ area at Department of Medicine Aarupadai Veedu Medical college (AVMC) and hospital, Puducherry during the period from May 2018 to October 2018.The objectives of the study were to evaluate the association of HbA1c with urinary ACR, eGFR and serum creatinine in Type 2 diabetes mellitus. Data was analyzed using the SPSS version 20.0 software.Results: The randomly selected study group comprised 100 type 2 DM patients and 25 control peoples of 35-70 years of age. Type 2 DM patients were evaluated of HbA1c, normotensives or hypertensives. FBS, serum creatinine, urinary albumin and creatinine were estimated. Urinary ACR and eGFR and were calculated. The data result was expressed as mean and standard deviation. A probability value is less than 0.05 and it was considered statistically significant.Conclusions: Type 2 diabetes mellitus patients, HbA1c and duration of diabetes were the strongest predictors of micro albuminuria and age was the strongest predictors of a low eGFR. The diabetes was poorly controlled, making the progression to end stage renal failure in concern patients. They measure the prevention of urinary albumin excretion, development of renal abrasion, smoking termination, strict glycaemic control and initiating lipid lowering therapy

Idiopathic multilocular thymic cyst-an incidental anterior mediastinal mass

Acquired thymic cyst are multilocular and they occur de novo or in association with mediastinal neoplasm, systemic autoimmune diseases and trauma. Here, we report a case of acquired multilocular thymic cyst due to non-specific inflammatory etiology in a 42-year old gentleman and our approach to diagnosis and management of anterior mediastinal mass. With no specific clinical symptom, he was diagnosed with anterior mediastinal mass incidentally by imaging studies. Definitive diagnosis of multilocular thymic cyst was obtained by tissue diagnosis of the anterior mediastinal mass resected during the surgery

A prospective study on outcome of function after proximal row carpectomy

Background: Proximal row carpectomy (PRC) is a procedure with varied indications. The purpose of this study was to evaluate functional outcomes with PRC in wrist flexion deformities, neuromuscular disorders and also post-traumatic wrist arthritis.Methods: A prospective study was performed on all patients who underwent PRC between April 2015 and December 2017, in BIRRD (T) hospital, Tirupati, Andhra Pradesh with a minimum follow up of 6 months. Outcome was assessed in terms of range of motion (ROM), grip strength, quick disabilities of the arm, shoulder, and hand (QDASH) score and pain score. Data was analyzed using the Student t-test.Results: Thirty-two patients underwent PRC of which 12 are neuromuscular disorders, 10 are wrist flexion deformities, 10 are post-traumatic wrist arthritis. On the final follow-up, significant improvement in ROM was observed in wrist flexion deformities and neuromuscular disorders, whereas grip strength and QDASH scores showed a significant difference in post-traumatic wrist arthritis. Pain was studied only in post-traumatic wrist arthritis, all were very much pleased with pain reduction.Conclusions: PRC is fairly a reliable procedure for all the indications in our study. We consider that PRC is a promising procedure in correcting wrist flexion deformities. Though there has been significant improvement in all the parameters for all the cases, we consider this procedure is best suited for post-traumatic arthritis group

Functional and radiological outcome of surgical treatment of distal tibial fracture by minimally invasive percutaneous plate osteosynthesis technique

Background: Minimally invasive percutaneous plate osteosynthesis (MIPPO) is an established technique for fixation of fractures of the distal third tibia. Aim of our study was to manage extraarticular fractures of the distal third tibia by the minimally invasive plate osteosynthesis technique and follow them prospectively. Clinical and radiological outcomes were studied and clinical indications & efficacy of the procedure reviewed.Methods: From June 2018 to June 2019,25 patients of closed distal tibial fractures were operated by MIPPO technique with a distal tibial anatomical locking plate having 4.5 out of 5 proximal and 3.5 out of 4 distal screw holes. The follow up duration was for 1 year.Results: The mean fracture healing time was 17 weeks (range 16 to 32 weeks) and average The American orthopedic foot and ankle score was 88.2 out of a total possible 100 points. At last follow up, superficial infection occurred in 3 patients, deep infection in 1 patient, ankle stiffness in 1 patient, limb length discrepancy <1 cm in 1 patient and malunion in 2 patients.Conclusions: MIPPO technique provides good bone healing and decreases incidence of non-union and need for bone grafting. This technique should be used in distal tibia fractures where locked nailing cannot be done like fractures with small distal metaphyseal fragments, vertical splits, markedly comminute fractures

Challenges and Approaches in Green Data Center

Cloud computing is a fast evolving area of information and communication technologies (ICTs)that hascreated new environmental issues. Cloud computing technologies have a widerange ofapplications due to theirscalability, dependability, and trustworthiness, as well as their abilityto deliver high performance at a low cost.The cloud computing revolution is altering modern networking, offering both economic and technologicalbenefits as well as potential environmental benefits. These innovations have the potential to improve energyefficiency while simultaneously reducing carbon emissions and e-waste. These traits have thepotential tomakecloud computing more environmentally friendly. Green cloud computing is the science and practise of properlydesigning, manufacturing, using, and disposing of computers, servers,and associated subsystems like displays,printers, storage devices, and networking and communication systems while minimising or eliminatingenvironmental impact. The most significant reason for a data centre review is to understand capacity,dependability, durability,algorithmic efficiency, resource allocation, virtualization, power management, andother elements. The green cloud design aims to reduce data centre power consumption. The main advantageof green cloud computing architecture is that it ensures real-time performance whilereducing IDC’s energyconsumption (internet data center).This paper analyzed the difficultiesfaced by data centers such as capacityplanning and management, up-time and performance maintenance, energy efficiency and cost cutting, realtime monitoring and reporting. The solution for the identified problems with DCIM system is also presentedin this paper. Finally, it discusses the market report’s coverage of green data centres, green computingprinciples, andfuture research challenges. This comprehensive green cloud analysis study will assist nativegreen research fellows in learning about green cloud concerns and understanding future research challengesin the field

Identification of Instructional Design Strategies for an Effective E-learning Experience

The objective of the study is to identify various instructional design strategies used by the instructional designers for effective the E-learning experience. Thematic analysis is used to generate the factors accountable for the successful implementation of E-learning process. To fulfill the purpose of the study, semi-structured in-depth interviews were conducted with the instructional designers, students, and corporate employees, who are associated with E-learning apps. Interviews conducted are broadly classified into three sections. The first section dealt with the personal profiles of the respondents; second part dealt with the discussion on successful instructional strategies adopted by the designers, and the third part dealt with the ease and comfort experienced by the learners while undergoing the E-learning course. Thematic analysis of the interview transcripts generated six themes, namely Technical assistance; Problem based learning, Aesthetics, Gaming, Storytelling, and Social support. This study will help the instructional designers to understand, what kind of expectations the learners have while taking up an E-learning course and how best these expectations can be addressed through design strategies by the instructional designers

A Context-Responsive LSTM based IoT Enabled E- Healthcare Monitoring System for Arrhythmia Detection

Detecting Arrhythmia, a life-threatening cardiac condition, in real-time is crucial for timely intervention and improved healthcare outcomes. Traditional manual methods for Arrhythmia detection using Electrocardiogram (ECG) signals are error-prone and resource-intensive. To address these limitations, this paper presents an automated system based on the Context Responsive Long Short-Term Memory (CR-LSTM) model for real-time Arrhythmia classification. The system leverages IoT technology to continuously monitor vital signs and effectively combines contextual information with temporal sensor data to accurately discern different types of Arrhythmias. The CR-LSTM model achieves an impressive accuracy of 99.72% in multiclass classification of Arrhythmias, making it a promising solution for dynamic healthcare settings and proactive personalized care

A Study on Lapsation of Insurance Polices of Select Insurance Companies

Purpose: Lapsation is the discontinuation of payment of premia for reasons other than the death of a policy holder.  A majority of insurance companies notice that half of their policyholders do not pay their insurance premia regularly leading to an increase in lapsation of policies. Increase in lapsation not only affects the policyholders’ welfare but also insurance companies’ business growth. So, the present study was carried out to determine where lapsation rate is high and to offer solutions to reduce the rate of lapsation.   Design/Methodology/Approach: The present study is descriptive in nature. A carefully constructed questionnaire was used to gather the study's pertinent data. Data were collected from life insurance company employees in Tamilnadu using the convenience sampling method. The questionnaire includes inquiries about different policy kinds, distribution methods, agent information, and different commission structures.   Findings: Result of cross tabulation discloses that high rate of lapsation rate is noticed with term and endowment insurance policies both at LIC and private insurance companies.  High rate of lapsation is noticed under insurance policies distributed by direct sale teams of insurance companies. Further, it is noticed that lapsation rate is high in Private insurance companies, where insurance agents receive low commission. Lapsation rate is low at Public and Private Insurance companies, where insurance agents receive high and moderate level of commission.    Practical Implications: The result of the study will be immensely useful to policyholders in particular and insurance companies in general. Reduction in policy lapsation rate will assist policyholder to reap the benefit of availing insurance policies and aids life insurance companies to expand their business volume to a greater extent.   Social Implications: Life insurance companies not only safeguard interest of policyholders but also invests their excess amount of premium in corporate securities, thereby assists not only growth of industries but also Indian economy as well.  Lapsation of insurance policies may affect transfer of excess premium towards industry investment.  Thus, the present study assist to understand the reason for lapsation of policies and to offer suitable suggestions to reduce rate of lapsation and assist not only growth of insurance companies but also economy too.   Originality/Value: Questionnaire is employed for collecting first hand data. By contacting the life insurance company employees in person data required for the study has been gathered