Asian Journal of Convergence in Technology
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Study of Impact in Construction Project Due to Introduction of Rera
Get PDFFor Indian real estate sector has been facing a slump since 2012. This is due to factors like unemployment, inventory pile-up, recession, low rental yield, unclear taxes and arbitration. However, the property prices have not stabilized accordingly (The Indian Express). As a result, the demand for property has decreased further. This reduced demand is causing a slowdown in the recovery of investment builders. The major issue facing the sector is lack of transparency. The system until recently was opaque with regards to price, construction delay, construction quality, ownership (title) and litigations. Of these, the biggest issue is the delay in the delivery of property to buyers. During the last two decades, the number of under construction properties rose to an all-time high. Particularly in major cities, many builders have flouted norms by failing to keep up with project deadlines (The Economic Times, 2017). For a homebuyer investing his life savings in the property, indefinite delays are a cause for worry. Property agents or brokers took advantage of prospective homebuyers by misinforming them about the quality of construction and completion. They misled homebuyers regarding amenities of the property. They would give assurances orally regarding property documents which were often missing or incomplete. Furthermore, the agents would hide the status of properties under litigation from prospective buyers (Sharma, 2017)
Experimental Investigation and Performance Analysis of an Automobile Air Conditioning System
Get PDFRefrigerating effect is the amount of heat that each pound of refrigerant retains from the refrigerated space to deliver helpful cooling. This effect is known as Refrigeration. Refrigeration systems are also widely used to provide thermal comfort to humans via air conditioning. The “Steam Compression Cooling System” is used by the current Automotive Air conditioning system, which absorbs and removes heat from inside the vehicle. To drive the Compressor of the refrigeration system, the system uses the power of the motor shaft as the input power, but because of this, there is some loss of engine power also. The loss of engine power for VCR operation may be neglected by using another refrigeration system, namely a "vapor absorption refrigeration system". For that, launch of a new Hybrid Air conditioning system for cars is required. Experimental work is done by using the change of energy source to drive the compressor. In this system, An Internal Combustion Engine shaft drives the compressor, when the engine is running. And as a hybrid, DC electric motor which is powered by a lead-acid battery also drives the Compressor. An electric motor supplies the DC power, which generates electrical energy to charge the battery. Experimental work is done by using the change of energy source to drive the compressor. In this system, An Internal Combustion Engine shaft drives the compressor, when the engine is running. And as a hybrid, DC electric motor which is powered by a lead-acid battery also drives the Compressor. An electric motor supplies the DC power, which generates electrical energy to charge the battery. With this system, fuel consumption is much lower when using air conditioning and reduces carbon dioxide emissions. The concept of the air conditioning system in presented in this document
UNDERSTANDING THE ARCHITECTURE OF INTERNET OF THINGS USING A CASE STUDY OF SMART PARKING b
Get PDFNowadays, the Internet of Things (IoT) is the latest research trend all over the world. IoT is a multidisciplinary branch that includes electronics, civil, computer and mechanical. The things named after "smart" in the market are nothing but the products of IoT. To understand a complete picture of IoT, information of all the branches is necessary. In this paper, a case study of smart parking is explained in brief so that one should get familiar with all the aspects needed to implement any application of the IoT. It has importance in almost all sectors such as smart home, cities, environment, energy, retail, logistics, agriculture, industries, health, and lifestyle. The focus of IoT is on configuration, control, and networking via the internet of devices or "things" that are traditionally not associated with the internet. This paper discusses all the layers of the architecture of IoT. Using the knowledge offered by this paper, anyone interested in carrying out an end to end application of the IoT to implement any smart system will get a complete idea about how to proceed as well as about what sectors he/she should be aware of. In this paper, various methods to achieve a complete end to end smart parking are discussed and the same methods can be used to achieve various systems such as smart lighting, smart home, healthcare, smart agriculture, etc
Performance Analysis of Smoothing Techniques in context with Image Processing
Get PDFTypical flow of an image processing application involve stages like pre-processing, feature extraction and classification or recognition. Image smoothing is one of the pre-processing tasks which balance the effect of noise while capturing the images in specific applications. Smoothing address poor quality of captured image by reducing the noise from it, thereby enhancing accuracy of pattern classification or recognition algorithm. Performance of some frequently used smoothing techniques viz–Median filtering, Gaussian filtering, Robust filtering and Mean filtering (averaging)is analyzed in this work. Sample high quality images are contaminated with predefined levels of Gaussian noise, Speckle noise and Impulse valued noise (salt and pepper noise) manually. Performance of mentioned smoothing techniques is also checked for real time captured images through webcam. Peak Signal to Noise Ratio (PSNR) is used as quality metric to compare the versatility of one method with the other. Entire experimentation is implemented on an i3 processor machine using Matlab14a. It is found that the Median filtering method outperforms all other three methods to address the effect of noise
Maximum Power Point Tracking Testing Using Photovoltaic Array Emulator Based on Lambert Algorithm
Get PDFSolar energy is the furthermost imperative resource of energy now a day. It is difficult to test different PV system equipment for particular weather condition because of weather condition is constantly change on earth with real PV panel or array. Also, it is also complicated to maintain weather condition for testing purpose. So, any equipment is required to test PV system equipment against above-mentioned difficulties. A PV emulator is a DC-DC converter, which can duplicate the preferred output behavior unrelatedly of the weather conditions to analyze and tests diverse PV systems equipment for the different environmental condition. In this paper lambert W algorithm-based PV array emulator is presented. It is tested against linear and non-linear load and compares its results with conventional PV array emulator which behavior are similar to the real PV array. And it also gives PV emulator to connect with maximum power point tracking (MPPT) to test MPPT on PV emulator at different techniques. Also, it is tested with MPPT and compare with the Lambert W algorithm.  
Feature Reinforcement using Autoencoders
No full textCardiovascular disease (CVD) is the number one cause of death globally, more people die annually from CVDs than from any other cause. People with cardiovascular disease or who are at high cardiovascular risk need early detection and management using counselling and medicines, as appropriate. The early detection of CVDs needs an expert hand and awareness amongst people. Here is where Data analytics can help in predicting the cardiovascular cases before-hand by helping to make informed decisions faster, with great accuracy and at a much earlier date. The dataset used is the Cleveland Heart disease Database taken from UCI learning data set repository. The dataset is being divided into five classes, 0 corresponding to absence of any disease and 1,2,3,4 corresponding to grades of heart disease. The dataset has been bifurcated into absence (0) and presence (1, 2, 3 and 4) of the heart disease. Using medical profiles such as age, sex, blood pressure, cholesterol, sugar level etc. The classifiers can predict the probability of patients getting a heart disease. There is no dearth of classification techniques but feature engineering and data representation is the crux of the model building pre-activity. When done efficiently, this could make the model more robust and accurate. We are introducing an idea of feature reinforcement technique using Artificial Neural Networks (MLP)-Auto encoders. In this technique we would represent the features in an abstracted format using MLPAutoencoders and then reinforce the input features with the abstracted features. This activity would exhaustively capture the latency in input features thus making our feature representation more robust and resilient. We have tested our technique on Cleveland Heart disease dataset. The results obtained by using our technique had higher degree of accuracy than the results obtained with input features alon
Fine Grained Classification of Mammographic Lesions using Pixel N-grams
Get PDFBreast cancer is the most common type of cancerworldwide. Early diagnosis of breast cancer can result inbetter treatment options increasing the survival chances of apatient. Automated or computer aided detection of breastcancer is applied in order to improve the accuracy andturnover time. However, the accuracy of automated detectionsystems can still be improved. Most of the efforts in thecomputer aided detection systems classify the images intocancerous and non-cancerous categories. The aim of this paperis to classify the mammographic lesions into three categoriesnamely circumscribed, speculation and normal. The novelPixel N-gram features have been used for classification ofthese lesions. Pixel N-grams are originated from character Ngramconcept of text categorization. Classificationperformance is noted in order to analyse the effect ofincreasing N and effect of using different classifiers (MLP,SVM and KNN). It was observed that the classificationperformance increases with increase in N and then startsdecreasing again. Moreover, classification performanceachieved using MLP classifier was better than the performanceusing SVM or KNN classifiers
Predict online customer satisfaction level on the basis of e-commerce services and age group
Get PDFThe purpose of study is to develop anunderstanding the how many customer satisfied with theE-commerce services. So there are lots of scopes to ananalyze user's data to find unknown facts of E-commerce.To achieve objective of this paper authors conduct asurvey named Customer Satisfaction level in India. Theycollected a sample of 520 users in one month time durationvia online medium (Google Forms). The major differencebetween online and traditional shopping is that in onlineshopping there is no touch, feel and trust. So the consumergets afraid to pay first before receiving the product. In thispaper authors try to find out relationship between type ofservices and satisfaction level in Indian consumer in Ecommerceservices. The result of experiment shows that Pvalue of customers Ages and Satisfaction level is 0.5817which is significant at 95% confidence and P value ofcustomers Services and Satisfaction level is 0.5988. It tellsthat consumer satisfaction level according to the type ofservices
A GIStopology to detect coastal groundwater Potential zones and variation of sea water temperature along west coast of Karnataka
Get PDFDue to increase in atmospheric greenhousegases, the coastal water temperature is slightlyincreasing with time period. For this coastal seawater surface temperature (SST) approach, MODIShas some limitations due to 1km resolution. However,in this work Landsat thermal bands had used forcalculating SST. The study area of this investigationcomprises coastal zone of Arabian Sea fromNethravathi to Udupi and the data obtained isLandsat8 OLI/TIRS imagery. In this paper, wemainly focussed on identification of potential zones ofground water in a coastal river basin (Pavanje inKarnataka state) and variation of SST in coastalarea. Thematic layers like soil, slope, rainfalldistribution, land use/land cover, stream density iscreated with assigned weightage which will supportin identification of groundwater potential zones. SSTvaries from 22.5 to 41.4 degree Celsius temperatureand groundwater potential zones is extracted byintegrating the thematic layers for the study area. 
Power Filters to Reduce Harmonics to Improve Power Quality
Get PDFThis paper focuses towards implementation of hybrid activepower filter for compensation of harmonics to improve power quality.Development in smart grid technology created a higher demand forimproved power quality. Harmonics are the main constraints forpoor power quality. Adjustable-speed drives, switching powersupplies, arc furnaces, electronic fluorescent lamp ballasts, lightningstrike, L-G fault are the sources of poor power quality. Non linearloads are the major source of harmonics in modern power system.The problems associated with power quality are voltage sags, voltageswells, interruption, sustained interruptions, over voltage, undervoltage, long-duration voltage variations, voltage imbalance, andwaveform distortion. To overcome these problems motivated todesign the hybrid active power filter. For the improvement of powerquality hybrid filter amongst other involves the use of both thepassive filter and shunt APF in combination are being used toeliminate both higher and lower order harmonics. The p-q method isused for harmonic suppression. The expected properties of shunthybrid power filter have been confirmed by simulation test inMATLAB/simulin