Volume 8 | Issue 6

 Abstract

This paper presents the Dark light project designed for visually impaired people using GPS and Arduino. Approximately, 285 million people are visually impaired and 39 million are blind according to World Health Organization. People who are visually impaired should depend on technological devices. Thus this project aims to develop �Dark Light� for visually impaired to connect them to real time environment. This contains Ultrasonic sensor connected with Arduino and it send the audio information to the people using headphones to convey the distance measured for an obstacle present in front of the people. It can be tracked and Google Assistant will Guide the visually impaired people to move exact location. The device can measure up to a distance of about 2m.

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 Keywords

Dark light, Blind vision, Third eye, Arduino for blind

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Construction industry is one of the most important sectors in the development of the country and it�s GDP. Bricks are widely used in the construction industry. Porotherm bricks are mainly made off clay mixed with coal ash, rice husk ash, saw dust and fly ash. In this experimental study bricks are made off natural waste material like rice husk ash and granite powder. The main objective of the study is to reduce the quantity of clay with natural waste material. On the other hand proper and efficient management of natural solid waste disposal can be done. Here we are replacing granite powder and rice husk ash in appropriate proportions to make light weight brick with same compressive strength. This study helps to identify the average water absorption ratio and compressive strength.

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porotherm brick, rice husk, granite powder,compressive strength, light weight

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The impartial of a firm is to allocate the resources in a way that meets the objective of maximizing wealth of all stakeholders by increasing the efficiency of the resources of the business. The dividend policy is focused on determining the returns to the shareholder from the earnings of the business. The objective of this study is to (i) investigate the annual dividend return by the sample of S&P BSE 500, BSE listed firms in India and (ii) investigate the dividend payout policy of the sample firms. Considering the usable sample of 164 companies, grouped into thirty-nine industry for the period from FY2015-16 to FY2018-19 i.e. span of 4 years shows results that the sample firms has been steady on an aggregate level in dividend payout policy and shows resistance with respect to change in policy. The overall performance of sample companies shows that the 4-year average of dividend yield was 1.53% with a variability range from 0.08% to 6.92%. Similarly, the dividend payout policy as measured in proportion of EPS and Cash EPS shows 4-year average as 39% and 29% respectively. The results also showed that on an average the architecture and engineering activities; technical testing and analysis (NIC code 71) has given the maximum dividend yield (6%). The dividend payout in proportion of EPS was highest (77%) for the manufacture of fabricated metal products, except machinery and equipment (NIC code 25) and dividend payout in proportion of cash EPS, the financial service activities, except insurance and Pension funding (NIC code 64) was highest (69%). In both the proportions, information service activities (NIC code 61) has recorded the minimum (1%).

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firms, dividend, dividend yield, dividend payout policy, profitability, efficiency

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Machine condition checking innovation has around for a long time, designed for advancing machine execution and limiting unplanned personal time. Since the appearance of the IoT, nonetheless, there has been development around machine condition observing. An IoT-based model for machine apparatuses condition examination with AI, IoT computerizes and adds knowledge to machine condition checking. In this paper different techniques are studied about machine tools condition analysis and classification. This examination surveys different techniques which are used to classify machine sound data. The center goal is to order the obtained machine sound sign into the comparing machine conditions effectively for example faulty and normal, which is generally a multi-class order issue.

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Machine tools condition analysis, Machine learning, IoT, Sound data.

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Automatic Emotion Recognition from audio signals is a challenging task for machines however it is quite easy for human. The audio signals vary according to different features such as pitch, loudness, timbre, speech rate and pauses. In this work, speech emotions were classified seven different emotions namely happy, sad, surprised, neural, angry, disgust, fear. A convolution neural network of nine layers has been applied to classify above emotions. Feature extraction is done through Mel-Frequency Cepstral Coefficient (MFCC).

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MFCC, CNN, SER, SAVEE

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The automobile industry has continuous growth over past few years. Indian automobile industry plays important role in growth of Indian economy and also in world�s automobile industry. In this study, two most profitable automobile companies were selected which listed in BSE. This research shows the comparative study between two automobile companies. The main objective of this study is analysing the financial position of companies and compare with each other. Study is based on secondary data. For analysis, three years data would be collected i.e. 2016-2018. Financial position analysed by using different ratios. From this study position of Maruti Suzuki and Tata Motors is ascertained. This project shows the change in profitability.

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Profitability, Financial Position, Automobile Industry, Ratios, Comparative Analysis.

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Mechanical ventilation associated with delirium is the most commonly reported repercussion in intensive care unit patients, characterized by hypoxia, inflammatory storm and sometimes due to sedatives. The most common types of delirium in this cohort patients are hypoactive and mixed-type of delirium which develops in 2-24 hours from admission. Delirium is known to develop due to an imbalance in the synthesis, release, and inactivation of some neurotransmitters, specifically by acetylcholine deficiency and dopamine activation. Delirium usually presents as a group of symptoms with an acute onset and a fluctuating course which have been categorized into cognitive and behavioral groups. This is a prospective observational cohort study conducted at Gleneagles Aware Global Hospitals, L.B Nagar, Hyderabad. for a study period of six months. 200 patients admitted with the hospitalization history of more than 24 hours in critical care units were enrolled as study population. Patient data collection form, contains the socio-demographic details of the patients and Observational study Informed Consent form was prepared for patients understanding for agreeing to participate in the study. In this study, out of the 200 study population 133 patients were not ventilated during the course of therapy in the ICU based on current disease state (66.5%) in which 25 developed mild, 22 developed moderate, 14 developed severe type of delirium and 72 were assessed to be non-delirious. Out of 67 ventilated patients based on current therapy in the ICU (33.5%), 8 developed mild, 13 developed moderate, 41 developed severe type of delirium and 5 were assessed to be non-delirious and from the P-value <0.0001, there is significant correlation between mechanical ventilation due to current disease status and development of delirium in ICU. Mechanically ventilated patients were assessed (92.5%) to be at greater risk of developing delirium compared to that are not ventilated. Ventilation is clinically significant (P-value <0.0001) when correlated to delirium, indicating ICU patients are at risk of developing delirium which is temporary within the ICU during the course of hospitalization (resolves with relevant patient orientated management).

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 Keywords

Delirium, ICUS, mechanical ventilation, prospective, observational, evidence-based study, CAM-ICU, RASS, intensive care unit, critical care, terminal care, dexmedetomidine, antipsychotics, haloperidol

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The building industry has seen a shift towards energy efficiency in last few decades. This shift in combination with requirements of aesthetics, low cost, easy installation, and low maintenance have resulted in the use of claddings (such as ACP) and ventilated (rainscreen) fa�ade system. It is evident from recent fire events globally that vertical spread of fire through these claddings and facades can be extremely rapid leading to insignificant time for evacuation, ultimately to loss of lives and property. There has been considerable research on the topic. However, the available knowledge is not being implemented and there is insignificant work regarding codes and regulations in many counties. Indian building industry has outgrown in last few decades with many high-rise buildings coming-up and Aluminium Composite Panel (ACP) has become a popular material for cladding. Production and use of ACP is increasing in an unregulated manner. Furthermore, Indian climate has promoted the use of ventilated fa�ade in many of its cities, which in combination with the ACP can intensify the rapid vertical spread of fire in high-rise buildings. All of these presents sufficient fire risks in near future, which must be considered. This paper examines the sufficiency of Indian building codes and regulations to tackle the issue and presents its comparative analysis with codes and standards of other countries (UK, UAE, Australia, and International Building Code) where regulatory changes and code modifications have been carried out regarding flammable facades and cladding. The paper ultimately presents a set of suggestive guidelines that can address the issue in India. The guidelines have been drafted on the basis opinion, comment and suggestion of experts from Bureau of Indian Standards, fire committee of National Building Code of India, fire safety service consultant, academic experts involved in similar research in the form of semi-structured interview. The guidelines also incorporate learnings taken from review of other codes.

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 Keywords

Vertical Spread of Fire, Flammable Cladding and Facades, Aluminium Composite Panel (ACP), Ventilated (rainscreen) Fa�ade, India.

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This study is undertaken to understand what is cyber bullying by using various data sources that we come across through different research paper, what is psychology of victim and oppressor and how cyber bullying is performed on digital platform, what are the effect of cyber bullying in the mind of the people, who gone through such trauma. Cyber bulling variable includes ,process, meaning, victims ,preventive measure,features. Paper also discuss how we can handle cyber bullying.

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Meaning, Process, Victims, Reasons , Impact, Prevention , features, Cases.

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Sr/CaMn0.5Ti0.5O3 (Ca = 25%, 50% and 75%) polycrystalline samples were prepared by conventional solid-state reaction. X-ray diffraction (XRD) was taken to estimate the phase purity of the prepared compounds. Signature of antiferromagnetic ordering (AFM) was observed in the magnetic characterization using PPMS � VSM. Observation of antiferromagnetic (AFM) ordering at temperatures (TN) ~ 19 K, 25 K and 29.5 K for Ca = 25%, Ca = 50% and for Ca = 75%, respectively. Sr/CaMn0.5Ti0.5O3 (Ca = 75%) exhibit field induced antiferromagnetic to ferromagnetic transition at ~ 30 K with applied magnetic field of 4 T and 5T. The investigated results indicated Sr/CaMn0.5Ti0.5O3 (Ca = 75%) might be a suitable candidate for magnetic refrigerant applications.

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SrTiO3, Neel transition, Solid State Reaction and Magnetic Properties

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The optimal allocation of resources to different project tasks involving different and usually conflicting objectives is one of the recurring challenges for a project manager. The main aim of this research is to optimize the time and cost of a project by analyzing their trade-off. Time cost optimization is one of the main obstacles in project scheduling. This paper proposes a new approach for time cost optimization with fuzzy logic in MATLAB. The project direct cost is altered by difference in resource utilization and Activity duration. The proposed model is formulated using fuzzy theory combining CPM computations, time-cost trade off analysis. By adopting the MATLAB software for ranking process, for each case facilitates obtaining the optimum result. Therefore, through this process now the decision-maker can quite precisely estimate the effect of the project deadline on a total project cost before the submission of a tender. The advantages of the proposed approach are demonstrated through an application example and with an example of the time-cost trade-off analysis.

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Time � Cost Optimization, Time � Cost trade off techniques, Fuzzy set and Fuzzy logic, Application of Fuzzy in Time � Cost Optimization

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Plants are considered a valuable source for phytoconstituents, active pharmaceutical ingredients, pigments, flavours, colorants, enzymes, fibers, etc. in pharmaceutical industries. Using synthetic chemical-based compounds being the main concern of consumers for their health sake. Thus, extraction from plant-based material gain increasing popularity. Various methods like soxhlet extraction, maceration, hydro distillation, etc. are involved in the extraction process. Prior to extraction, pre-treatment leads to enhanced yield, increased stability, highly pure extraction of compounds from plants. Different pre-treatment methods are listed as ultrasonic pretreatment, temperature drying pre-treatment, pulsed electric field pre-treatment, enzymatic pre-treatment, etc. The presented paper is a systematic review of the different pre-treatment methods adopted prior to the extraction process which shows the number of folds, increase in bioactive compounds and also determining pretreatment effects on total alkaloid, flavonoid, and phenolic contents from the plant-based materials.

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Pretreatment; ultrasonic pretreatment; pulse electric field pretreatment; enzymatic pretreatment; temperature drying pretreatment.

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A Road Traffic Accident (RTA) was defined as accident, which took place on the road between two or more objects, one of which must be any kind of a moving vehicle. The major causes for RTAs in our country are rapid increase in personalized modes of transport, a mixture of slow and fast moving vehicles, lack of road discipline, drunken driving and use of mobile phones while driving. Road traffic accidents (RTA) are increasing in an alarming ways. Globally nearly 1.2 million people killed in RTA during the year 2002. In India every year RTA accounts for over 1,00,000 deaths, 2 million hospitalization, 7.7 million minor injuries and an estimated loss of 55,000 cores or nearly 3 % of the GDP every year. The objectives were to assess the existing level of knowledge regarding road safety measures among high school students at Irwin Christian high school, Kolhapur.To prepare and provide Informational Booklet on road safety measures. A descriptive research design was used for the present study. Samples were selected by using Non- probability, purposive sampling technique. The result indicates that, Among 65 students Majority 47 (72.30%) were between student 15 to 16 years and 17 (26.15%) student between 13 to 14 years and 1 (1.53%) student between 17 and above. Majority of students 43 (66.15%) are male and remaining students (22) (33.84%) are female. Among 65 high school student�s 63 rides a bicycle (96.62%) and 2 does not ride bicycle. Majority of high school students knows to ride a bike (70.76%) and 19 (29.23%) high school students do not know how ride a bike. 24 (36.92%) met with an RTA and 41(63.07%) have not met with any RTA. Majority of high school students 56 (86.15%) are in average category and 9 (13.84%) are in poor category, none of the students are in good category. The knowledge scores distribution with a mean were 19.95, median 21, mode 21, standard deviation 6.35 and range were 11. Study concluded that there is an emerging need to provide information booklet on road safety measure. It is high time we should understand that all the high school students should know the need of road safety measures which will help them to prevent from road traffic accident.

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Safety measures, Road traffic accident, students.

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The airline industry is one of the most revenue generated and fast-growing industry in the world. The quality of service plays a major role in the industry to remain for long run by attracting the passenger satisfaction. Many researchers are investigating the service quality of airliners in the world or a particular country and brought their views on the basis of service quality in the airliners. In this project, the detailed analytical study carried out on the basis of Brand influence and resonance of airliners in Chennai Airport. In Chennai Airport, for the services rendered the Airliners are either increased or decreased. The data collecting from the passengers are analysed by analytical method and found the reason for not increasing the services by the airliners and effectiveness of passenger satisfaction involved in this.

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 Keywords

Airline Industry, Analytical Method, Brand Influence, Brand Resonance, Chennai Airport, Passenger Satisfaction, Quality of Service, Services of Airliners.

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The main aim of the project is to alleviate the water problems by using self-curing concrete. In this project the attempt has been made by the intention of developing the self-curing concrete by using Polyethylene glycol 400 & replace conventional steel by steel fiber. Because when we think about the use of conventional steel it requires more time for construction & skilled labor to apply reinforcement.Also, quantity of conventional steel required is more so, cost of construction of material also gets increases. Hence in order to reduce the labor cost we can replace conventional steel to steel fiber, because it is easy & quicker to apply so it can save time & cost of labor.This have a look at deals use of PEG-400 in concrete with 1% of metallic fiber by means of varying percent of 0%,0.5%,0.75%,1% and 1.25% by weight of cement for M30 mix. The concrete is examined to discover the mechanical properties for 7 days, 14 days & 28 days.

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Self curing, PEG-400, Steel fiber, Mechanical Properties.

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Abstract : Parkway snag location is one of the most testing task continuously for self-sufficient vehicle route System. In India the majority of the individuals are died in street mishaps as opposed to by illnesses. As indicated by an overview close about 45% of people are kicked the bucket in street mishaps in a year. Vehicle crash shirking and snag location framework is one in all the chief basic factors inside the car drove. Inside the present, the greater part of the vehicles empower a ready framework which goes about as a security include for the travelers. During this work, propelled the route framework distinguishes and demonstrates the thing is utilized in self-governing vehicles to sufficiently explore through the path in haze. This method distinguishes the hindrance before of the vehicle, cautions the framework. The camera is utilized to distinguish moving or fixed articles. The LIDAR is encased with this method to registering the space of constant moving and thusly the fixed article. The most work adds to the discovery of obstructions sooner than the vehicle. The caution is given to the framework inside the vehicle with respect to the obstruction before all together that the framework helps in impact evasion. During this work, the space between the vehicle and hindrance is estimated by the LIDAR and article identification is finished by the camera. By melding both these sensor esteems the snag is identified and subsequently the separation is furthermore precisely estimated.

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 Keywords

Index- Obstacle detection, raspberry pi, camera, LIDAR

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Now a days, everyone is familiar with smartphones including farmers. Mobile phones play indispensable role in daily life of people. Use of traditional methods in farming results slow progress. People can see the advantages of using better approaches to cultivate the crops with the tools and technologies that supports farming are yet to move into agricultural field. Farmers are mainly not aware about the technical advancements in farming and also they are unable to know the rates of the crops and their products they sell. There are also many schemes for farmers which are not known to them. With the emergence of mobile phones and Internet, there is a high potential for giving essential information via this means. Hence, an Android application-AGRIO APP is designed to provide a solution to these problems. We are creating a platform for users which is considered either as a farmer or a customer who uses a smartphone through which they can get the updated rates of crops so that they can buy and sell their products at a rates. This application will have features such as, all the farming related information from the experts and necessary information about different schemes. It also provides a platform to sell crops on profits without marketing, finding the current market rate of crops, identifying the climate conditions, understanding the new methods and showing latest news and information from agricultural authority.

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Android

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Traditional analog hearing aids is same as simple radio. They can be calibrated and adjusted for volume, bass and treble. But hearing loss is not just a technical loss of volume. Rather, hearing scantiness can intensify sensitivity and reduce tolerance to certain sounds while diminishing sensitivity to others. For instance, digital technology can tell the difference between speech and background noise, permitting one in while filtering out the other. More or less 10% of the world's population suffers from some type of hearing loss, yet only a small percentage of this statistic use a hearing aid. The stigma connected with wearing a hearing aid, customer disappointment with hearing aid performance, and the cost related with a high-performance solution are all causes of low market penetration. Through the use of digital signal processing, digital hearing aid now gives what the analog hearing aid cannot give. It suggests the possibility of performing signal-to noises strengthen, pliable gain-processing, digital feedback reduction, etc. In this paper, the simulation of simple digital hearing aid was developed using MATLAB programming language. The implementation of this configurable digital hearing aid system includes the noise reduction filter, frequency shaper function, and amplitude compacting function. This digital hearing aid system is design to adapt for mild and moderate hearing loss patient since different gain can be set to map different levels of hearing loss.

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Hearing aid, Gaussian Noise, Signal Processing, Fourier transform, Signal to Noise Ratio.

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This project includes the designing of 16-Bit RISC processor and modeling of its components using Verilog HDL. The processor is based on Harvard architecture. The instruction set adopted here is extremely simple that gives an insight into the kind of hardware which should be able to execute the set of instructions properly. Along with sequential and combinational building blocks of a processor such as adders and registers more complex blocks such as ALU and memories have been designed and simulated. The modeling of ALU which has been done in this project is fully structural starting from half adders. At the end the semi-custom layout has been developed for ALU. Complex blocks such as memories have been modeled using behavioral approach, whereas simple blocks such as adders have been done through structural approach. The tools which have been used throughout the project work are ModelSim and Intel Quartus prime 18.1. For synthesis purpose the targeted FPGA device technology is ALTERA.

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Verilog HDL, ModelSim, Intel Quartus prime.

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Glaucoma is the disease which effect on the human eye which may cause blindness if not treated properly. Glaucoma occurs due to increased pressure call Intra Ocular Pressure. The glaucoma detection will be carried out using Image Processing Methods like NFL (Nerve Fibre Layer) defects detection and texture analysis, Neuro Retina Optic Cup Detection and Image Segmentation. For the development of the system, ARM based processor and high resolution with night vision camera is used. Using camera module will capture fundus images. Image Processing algorithm will process this image further with Morphological Operation and apply various techniques for detection and correction of medical images. This research work will detect glaucoma at preliminary stages. It is helpful for medical practitioner and researchers as well as patients. This proposed method is automated, portable, cheapest and more accurate and efficient device.

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 Keywords

Optic Cup, Optic Disc, image segmentation, Morphological Operations, blood vessels, CDR, retinal image, arm processor.

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