Green Computing: Save Power, Save Environment

In today’s world computers are most important part of human life. Because of speed, storage capacity & programming ability computers are used in everywhere in human life. But more use of computer creates harm to environment.Computer consumes more electricity.Toxit, carbon dioxide produce by computer material. But use of computer is necessary in human life. Existence of Green Computing toovercome negative effect of computer to environmentGreen computer provides way to lower the power consumption of computer system. It also provides way to minimize pollution by computer material. This paper gives idea of saving energy & environment which helps to save money. DOI: 10.17762/ijritcc2321-8169.15069

A Baseline Assessment Of Environmental, Health, And Safety Aspects And Impacts Associated With Lithographic And Digital Printing Operations Performed Under Ideal Work Conditions

This work examined various environmental, health, and safety aspects of two comparable printing technologies i.e. offset lithographic and electrophotographic digital printing, and evaluated their impacts on the environment and health & safety of the workers. It also studied the environmental behavior of these technologies with respect to print volume, and provides information to print manufacturers on the same so that they can use this information while deciding on technological selection. An effort has been made to bring attention of the print manufacturers towards the key environmental, health, and safety issues that will help them understand the importance of pollution prevention and safe work operations

High Grade Muscle-Invasive Urinary Bladder Cancer in A 36 Year Old Male Patient: A Case Report & Review of Literature

We are reporting a case of urothelial bladder cancer in a 36 year old male patient with no history or exposure to any risk factors. The incidence of urothelial bladder cancer is very low in young individuals i.e. below 40 years of age with reported rate of incidence around 0.1-0.4 %. Most of the times, these young individuals present with non-muscle invasive bladder cancer with low grade and low stage. As the age increases, the incidence of high grade bladder cancer increases along with it. The index case presented with high grade muscle invasive bladder cancer at the time of diagnosis without any known risk factors. The 5-year survival of urothelial bladder cancer is better in young patients (93.8 %) as compared to older people(85.1 %). Cigarette smoking is responsible for development of bladder cancer in majority of patients followed by exposure to occupational carcinogens. Role of genetic alterations in development of bladder cancer is still under research and process of urothelial bladder carcinogenesis is unanswered in young individuals

Semantic Communication-Empowered Traffic Management using Vehicle Count Prediction

Vehicle count prediction is an important aspect of smart city traffic management. Most major roads are monitored by cameras with computing and transmitting capabilities. These cameras provide data to the central traffic controller (CTC), which is in charge of traffic control management. In this paper, we propose a joint CNN-LSTM-based semantic communication (SemCom) model in which the semantic encoder of a camera extracts the relevant semantics from raw images. The encoded semantics are then sent to the CTC by the transmitter in the form of symbols. The semantic decoder of the CTC predicts the vehicle count on each road based on the sequence of received symbols and develops a traffic management strategy accordingly. An optimization problem to improve the quality of experience (QoE) is introduced and numerically solved, taking into account constraints such as vehicle user safety, transmit power of camera devices, vehicle count prediction accuracy, and semantic entropy. Using numerical results, we show that the proposed SemCom model reduces overhead by $54.42\%$ when compared to source encoder/decoder methods. Also, we demonstrate through simulations that the proposed model outperforms state-of-the-art models in terms of mean absolute error (MAE) and QoE.Comment: Submitted to a journal, under revie

Apriori- A Big Data Analysis – A Review

Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation). Other algorithms are designed for finding association rules in data having no transactions , or having no timestamps (DNA sequencing). Each transaction is seen as a set of items (an item set). Given a threshold , the Apriori algorithm identifies the item sets which are subsets of at least transactions in the database. Apriori uses a "bottom up" approach, where frequent subsets are extended one item at a time (a step known as candidate generation), and groups of candidates are tested against the data. The algorithm terminates when no further successful extensions are found

Formulation and Evaluation of Anti-Ulcer Floating Tablet Using Swellable Polymers

Present study involves the formulation and evaluation of floating tablets Ranitidine hydrochloride by direct compression method by using HPMC K4M, HPMC K100M as a synthetic polymers and Gellan Gum (low acyl) as a natural polymer with addition of sodium bicarbonate and citric acid as effervescent agent. The physicochemical compatibility of the drug and the polymers was studied by infrared spectroscopy and differential scanning calorimetry. The results suggested that drug and the polymers were physicochemically compatible with each other. The effect of synthetic and natural polymers on the drug release and floating properties of tablet were investigated. Formulation was optimized on the basis of pre compression and post compression parameters, floating lag time, total floating time and in vitro drug release study was carried out. The floating lag time, dissolution studies indicated that formulation F11 with drug: polymer ratio 5:4 exhibited sustained release of drug and followed Korsemeyer Peppas kinetics. Natural polymer (Gellan Gum) showed better results for sustained drug release properties than synthetic polymer. The floating lag time was found to be increase significantly with increase in concentration of polymer and drug release was found to decrease with increase concentration of polymers

An Intelligent Traffic Light Controlling System

Traffic control is the big issue in today’s era. The management of traffic in India is also a tough job and only manual efforts can’t stop this kind of problem so we need machines. We need a system that can handle such a situation effectively. Today’s traffic control system is able to handle such a situation but not that much effectively because they are static in nature. We need a system which is dynamic in nature so that it can handle traffic smoothly and such a system called Intelligent Traffic control System. In this project we are creating the same dynamic traffic control system which has the ability to control the traffic as well as avoid the congestion of roads. In this project we are dealing with the traffic via image processing. Several traffic control approaches address the problem of reducing traffic jams. A class of them deals with coordination of traffic lights to allow vehicles traveling in a given direction. This project consists of webcam, processor & LCD display installed at each junction. Here each junction and its traffic lights behave like a social insect. Today’s traffic control systems are based on microcontroller and microprocessor. This has lots of limitation one of the predefine structure which can’t be handled by real time situation. The fuzzy logic control traffic system is described in 1995. The fuzzy logic controller follows the same pattern of schedule. Using the vehicle detection system the performance of the traffic control can be managed. Using different types of image processing algorithms the vehicle can be detected so on that bases the traffic lights can be switch. DOI: 10.17762/ijritcc2321-8169.15030

Assessment of radiological evidence of collapse of distal end radius fracture after treating with cast, percutaneous k-wire fixation and external fixator

Background: Distal end radius fractures are the most common fractures seen among all orthopaedic injuries, accounts for nearly 20% of all fractures coming to the emergency department.There are various treatment modalities for distal end radius fracture which includes closed reduction and casting, closed reduction with external fixation and closed reduction with internal fixation.Methods: This retrospective study was done on patients who underwent distal end radius fracture surgery in the Department of Orthopaedics at MGM Hospital Kamothe in the last 2 years from May 2015 to May 2017. Total of 108 patients were included in the study, out of which 62 were males and 46 were females undergoing distal end radius fracture surgery. The mean age was 34.5 (28-75 years age group). All patients were assessed with wrist radiograph to see the collapse post-operatively and after 4-6 weeks.Results: The mean age was 34.5 (28-75 years age group). Out of 108, three females treated with cast lost for follow up. Out of all three modalities we took under study, we found that the average radial height in cast was 15 mm, in k wire was 10.5 mm while in external fixator was 12.5 mm. The average articular step in cast was 1.3 mm, in k wire was 2.1 mm while in external fixator was 1.8 mm. Fracture collapse was seen as 23.3% in cast, 21.4% in k-wire and 13.8% by external fixator.Conclusions: Distal end radius fractures are most common fractures seen daily in both OPD and emergency. A basic idea about this fracture should be known general physicians also such as splinting as they also encountered with them routinely. External fixator is quite effective method of treatment for these fractures. In our study we have discussed closed reduction and fixation techniques and found better results with external fixator using principle of ligamentotaxis