Determination of percent ascorbic acid in tangerine, pineapple and water melon
Titrimetric method of analysis was used for the determination of percent Ascorbic acid in three selected fruits: Water melon (Citrullus Lanatus), Tangerine (Citrus Reticulata) and Pineapple (Ananas comosus). Five different juices from each three fruit sample were analyzed for their Ascorbic acid content using Iodometric titration. There was sample treatment and preparations before the analysis, and the Iodine solution used for the analysis was standardized. The results showed that Tangerine has the highest percent content of Ascorbic acid ranging from 0.0402 to 0.0409%, followed by Pineapple which ranged from 0.0217 to 0.0232 and Water melon with the least value of Ascorbic acid ranging from 0.0137 to 0.0153%. These showed that the three fruit samples contained Ascorbic acid in varying concentrations. In order to obtain the standard concentrations of the various fruit samples, each fruit should be grown under the required optimum cultivation conditions and should be preserved in good conditions. Therefore, it is recommended that the three fruit samples should be used as sources of vitamin c (ascorbic acid). Ascorbic acid is essential for the formation of collagen and intracellular material for bone and teeth and for the healing of wound. It is used in the treatment of Scurvy. Ascorbic acid is the enolic form of 3-oxo-L-glufuranolacetone, which can be synthesized from glucose, or extracted from plant sources and easily oxidized in air.
Development Of Solar Absorbing Nanoporous Membranes For Direct Solar Seawater Desalination
In nature solar energy is the primary driving force for the formation of fresh water. Solar based desalination is an attractive technology to meet the ever-increasing water demand. In this study we develop efficient and optimized nanoporous membranes for direct solar desalination of seawater. We developed black-body like membranes that maximizes solar absorption via the structural design and coating. The structural design involves hierarchal shapes that increase roughness and hence forth increase surface area available for solar energy absorption. This is done via simple and low-cost phase inversion membrane fabrication, developed within our labs. The blackbody-like membranes we develop should poses high thermal conductivity, which is the other objective we focus on in this investigation.
Heart Disease Prediction Using Effective Machine Learning Techniques
In today’s era deaths due to heart disease has become a major issue approximately one person dies per minute due to heart disease. This is considering both male and female category and this ratio may vary according to the region also this ratio is considered for the people of age group 25-69. This does not indicate that the people with other age group will not be affected by heart diseases. This problem may start in early age group also and predict the cause and disease is a major challenge nowadays. Here in this paper, we have designed a system which will help in predicting the survivability of heart diseases.
Keywords: Heart disease, data mining, decision tree, Classification
Faction Of Data For Social Network Mining Using Link Based Types
Recent online social networks such as Twitter, Facebook, and LinkedIn have hurriedly grown in reputation. The resulting accessibility of a social network data supplies an unparalleled occasion for data analysis and mining researchers to resolve useful and semantic information in a broad range of fields such as social sciences, marketing, management, and security. Still, unprocessed social network data are enormous, noisy, scattered, and susceptible in nature, in which some challenges is faced when applying data mining tools and analyzing tasks in storage, efficiency, accuracy, etc. In addition to that there are many problems related to the data collection and data conversion steps in social network data preparation. We focused on the endeavor for privacy preserving social network conversion which provides method for better protection and identification of privacy for social network users and to maintain the convenience of social network data.
Keywords: Social Network, Social Network Analysis, Link mining, Learning Model
Waste Water Treatment Using Functionalized Graphene Oxide Hydrogels
Wastewater treatment is increasingly becoming complex due to new industrial developments like fracking in oil & gas industries. Owing to easy operationalities and simplicity of design, adsorption was found to be a preferable choice for the removal of metal ions selectively (Arias et al. 2005). This paper aims at using hydrogels comprising of sodium alginate (SA) and functionalized graphene oxide (GO) as an adsorbent for removal of heavy metals from waste water owing to their exceptional properties (Yuan et al. 2013; Banat, 2014).
Google Standard Identifier
Google search engine is used by almost 90% of the internet users to find the related websites or web pages on different topics they are looking for. Google displays results in the form of list of related websites and web pages. However Google search engine display list of 11 different websites per page and normally user check about one to two pages for the desired results. A big hectic for Web Developers to code according to the Google standards usually these are the HTML standards which are not considered as a bug, the code execute fine but these lack of standards results in below ranking of website in search engines. To avoid this problem normally the website owner hired Search Engine Optimization (SEO) experts who apply different techniques to display website on first page ranked but this is time taken & costly.
Development of a Non-destructive Method to Measure the On-Site Clamping Force of Torque Shear High-Strength Bolts
High strength bolts are used for connection of steel structures, and these are mainly of the torque shear type, which are designed to fracture by shear force at a predetermined torque. Although the manufacturers specify the clamping load of high-strength bolts dependent on diameter, no method has been available for measuring the clamping force at the onsite, when the bolt is actually fastened. Thus, a nondestructive testing method was developed the first in the world, that can measure the clamping load when fastening the bolt to an actual steel structure joint. There are two key elements in this method: the algorithm that synchronizes the load displayed in the clamping force meter taken form the existing analog device and measures the amount of cumulative electric energy required by the electric torque wrench, which is used for fastening the bolts at the time of measurement, and the prototype of the test device that embeds this algorithm. The technique developed in this study achieved a reliability within 5%, with respect to the actual clamping load.
Keywords: Bolt, Tension, Current, Wrench, Torque
Blood Transfusion using Machine Learning Technique
Blood transfusion and blood components have developed standardized treatment for the patients with one or more blood element deficiency hence it is a significant component of health care. There is an increase in demand for blood. This can be attributed to many reasons like higher accidents, increased medical surgeries etc. Efficient blood transfusion can cater to this increased demand. For increasing future blood donation, medical professionals require necessary details which can be provided by blood donor prediction. Our purpose work is to suggest that provider efficient prediction and motivates the eligible blood donors. The focus of the paper is on the analysis of different classification algorithm for the prediction of finest blood donor (SVM, Cross Validation, Decision tree, K-nearest neighbor, Correlation and Regression, Principle component analysis (PCA), Gaussian Naïve Bayes) classifier of machine learning used in blood transfusion dataset. The suggested methodology will result in higher accuracy and efficiency in selection process when compared with the present one.
Keywords: SVM, KNN, PCA
Efficient Youtube mining and data analysis using Hadoop
Analysis of organized information has seen huge achievement before. However, analysis of large scale unstructured information as video format remains a testing region. YouTube, a Google organization, has over a billion clients and creates billions of views. Since YouTube information is getting made in an extremely colossal sum and with a similarly extraordinary speed, there is an enormous request to store, process and painstakingly ponder this large amount of information to make it usable. The principle goal of this project is to show by utilizing Hadoop ideas, how information created from YouTube can be mined and used to make focused on, continuous and educated choices. This project utilizes SQL like inquiries that are later keep running on Big Data utilizing HIVE to extricate the important yield which can be utilized by the administration for analysis.
Keywords: Big data; YouTube, Data Analysis, Hadoop, Digital Marketing
Comparative and Experimental Performance Analysis of Heterogeneous Data on Distributed File Systems on Various Testbeds using MapReduce
The computing world is undergoing a significant change from traditional, non-centralized distributed system architecture, to typical parallel and psudo-distributed nodes. Because of the recent interest in big data in the field of Information Technology, from the higher network bandwidth to parallel and psudo-distributed nodes, increases in storage volume, and affordability.
Application and Effects of Standardisation and Quality Management Techniques in an Automobile Manufacturing Plant
Total Quality Management and Standardisation techniques used in various industrial processes have become a common norm in today’s manufacturing sector. Globalization has led to a race between multi-national manufacturing organisations to create and distribute products using cost effective but higher quality processes to manufacture products. Six Sigma, in itself is a part of total quality management. It is effective in certain organisations but its implementation is difficult due to differences in work cultures, cost of analysis and implementation. The effectiveness of Kanban, 5S, time cycle techniques as well as Lean have been explained in this article. This article also explains the use of various TQM techniques used in an automobile manufacturing plant in India and its effects on the daily rate of production and costs over a period of 6 months.
Direct Solar Desalination Using Nano/Micro-porous Polymeric Membrane via Thin Film Evaporation
Evaporation from micro/nano structures is a ubiquitous phenomenon which plays an important role in nature and industrial applications, such as transpiration in plants, mammalian perspiration, electronic cooling and water desalination. Thin film evaporation from nanoporous membranes is a promising thermal desalination approach because it utilizes the passive capillary pumping of liquid to the evaporating interface and allows for high heat transfer rates due to the large evaporating area in addition to the capillary pumping driving force. In this study, solar energy was used as a heat source to evaporate seawater through in-house fabricated polyvinylidene fluoride (PVDF) nano/micro-porous membranes. Compromising between the available area for evaporation via changing pore size and the available material for conductive transfer of heat to the liquid thin film is complicated. Since more porous membrane increases the evaporation surface area and at the same time this leads to having less conductive material for heat transfer which at the end will reduce the evaporation rate. The main objectives of this study are, firstly to investigate the pore size effect on the vapor flux by fabricating flatsheet membranes via a phase inversion process with 12 wt% of PVDF and 500 µm thickness, and varying preparation parameters such as relative humidity and exposure time to achieve different pore sizes. Secondly to examine the thermal conductivity effect by blending different concentrations of fumed silica (1, 2, 3, 4, or 5 wt%) with the polymeric solution. The fabricated membranes were characterized by scanning electron microscopy (SEM), contact angle analyzer (CA), Fourier transform infrared spectroscopy (FTIR), capillary flow porometery (CFP), porosity and AFM, to further understand the observed thin film evaporation effects. The preliminary results showed, the mean flow pore diameter of the fabricated membranes are 117.2 nm, 123.3 nm and 206.6 nm and there porosity 28.4 %, 46% and 33% respectively. Also, the contact angle analyzer proved the hydrophobicity of these fabricated membranes since the contact angle was found to be above 95°.
Challenges in Design of Underground Metro Stations
Underground Metro station is a very complex structure which involves numerous challenges in design as well as construction. Due to limited space in cities and the problems faced in urban transportation around the world a large no of underground metro stations have been built/ are being constructed .Noteable examples are Liverpool street in London,Chatelet – Les Halles in Paris, Fulton Street in NewYork,Shibuya in Tokyo, Changshu Road in Shanghai and Shalimar Bagh in Delhi. However the construction of underground metro station involves both temporary structures and permanent structures
Effect of Shot -Peening and Imidazole on The Corrosion Resistance U -Bend SS316L
This study is an examination on the combined effect of shot peening and application of corrosion inhibitor on the corrosion behavior of Austenitic stainless steels (316L) in chloride solutions under constant stress. The constant stress is applied to the samples by U-bending process. The surface hardness of U-bended samples are improved by shot-peening process. The surface morphology of samples are analyzed in different testing and corrosive environments by using Scanning Electron Microscopy (SEM) and Optical Imaging Microscopy (OIM). Electrochemical techniques; open circuit potential (OCP), linear polarization resistance (LPR) and Tafel analysis are used to determine the reduction of the corrosion rate of samples by shot-peening and application of Imidazole as corrosion inhibitor in chloride environment. The results from the electrochemical tests indicate that the combined application of shot peening and Imidazole has resulted in a higher corrosion resistance behavior and hence less corrosion rate of SS316L in chloride environment and the overall efficiency of the material increases to about 58% using the combined application.
Keywords: Shot Peening, Corrosion Inhibitor, Pitting, Stress Corrosion.
The Pakistan Asian Predictable Seismic turmoil Extrapolation and Communicating Exemplary for Realm Populates by Wireless Sensor Network
The notable determination of this investigation paper to advance earthquake estimate Scheme for the Asian. This model would provoke the seismologist, earthquake engineers, geologist, geotechnical specialists and other experts embolden and motivate them in the direction of earthquake expectation and telecasting system for Asian and world motherlands. The elementary purpose of this artefact to detect the mysterious waves which cause the subordinate waves. The main complications of this world to variety the earthquake model for the wave’s exposure that’s foundations earthquake. In this tabloid we projected the model for the earthquake prediction and telecasting system for the world.it may be save millions of lives from the death. The main perseverance of this research to serve impermanence and save the lives of the people of the world from natural misadventure. The primary single-mindedness of this research to variety world warning system for the every countries of the world. We improved Erdic Mustafa model for Pakistan South Asia. The Erdic Mustafa has so many flaws but our model is excellent in the world. It is a kind of abstract which is transliterated mutual people of the world which easily understand the disagreements vocabulary. The all system would work on solar and geothermal energy, because all sensors of the scheme would be installed with different coastal areas of the Asian countries like Pakistan, Saudia Arab.
Measuring the Scientific Impact Using Citation's Context
The impact of a publication and scientific evaluation is often measured by the number of citations it received. Citations plays very important role for scientific evaluation and for measuring impact of publications. In previous study only number of citations was counted for measuring publication impact and for scientific evaluation. However, a higher citation index does not necessarily mean that a publication necessarily had a positive feedback from citing authors, as a citation can represent a negative criticism. Here citation is a combination of positive, negative and neutral citations. We apply sentiment analyzer technique to rate citations as positive negative and neutral and then explore Conflict of Interest (COI) relationship by using Positive and Negative COI Distinguished Objective Ranking (PANDORA) algorithm and discover negative citation and weaken the associated citation strength. Our findings will help the authors to find out the impact of any author fairly by taking into account not only number of citations but also contexts of citations, whether it is cited positively or being criticized by some author.
A Framework based on Human-Machine Interfacing for Mouse Cursor Movement with Human Eye Ball
‘Control’ is indeed a revolutionary field in science and a lot of research has been focused on forming digitally automate world, having all protocols controlled via microprocessors with great accuracy, perfection and efficiency, nullifying human errors. With the emergent of technology, number of computer devices is cumulating every day. For this reason, we propose an interactive framework; Mouse Cursor Controller (MCC) which controls the movement of mouse cursor with the rotation of human eye ball. The proposed framework requires the detection of face, tracking of eye balls using template matching, storing consecutive camera captured frames having eye ball’s positions and comparing this data, generating an error signal used as an input for mouse cursor’s position. This error signal is fed to the mouse driver and hence location of the cursor is updated accordingly. The other proposed frameworks in this field incorporates; Electrooculography sensors mounted around the human eye taking signal from eye muscle movement and varying cursor’s location consequently. The techniques applied in these frameworks are not appropriate because they are not autonomous. Moreover, they do not ensure efficient human-machine interfacing. On the other hand, our proposed framework of eye balls tracking provides an autonomous human-machine interface. The proposed framework integrates the useful information extracted from camera captured frames focusing the eye-ball position for accurate maneuver detection; instead of determining the movement of eye-ball using sensors and feeding the result for cursor’s positioning; a direct link is developed between machine’s hardware and human’s eye which minimize the hardware requirements. Moreover, this technique is more efficient, as increasing the number of frames per second, enhances the precision and monitors extremely small positional changes creating a perfect and swift response accordingly. Furthermore, the proposed framework is beneficial for hand free computing.
Keywords: Electrooculography; Mouse Cursor Controller (MCC); Human-Machine Interface.
An Efficient Enhanced Algorithm to Diminish the Security Threats In Multi-Tenancy Cloud Computing
Cloud computing is considered as the hopeful standard for distributing IT facilities as computing benefits.Several industries like banking, healthcare and education are moving towards the cloud due to the effectiveness of services provided by the pay-per-use pattern based on the resources equivalent to process power used, transactions administered, bandwidth consumed, knowledge transferred, or storage space occupied etc. Cloud computing is totally in web dependent technology wherever client data is kept and maintained within the cloud provider’s data center like Google, Amazon, Microsoft,Akamai, etc. Inadequate control over the data may procure several security concerns and threats which include data leakage, insecure interface, sharing of resources, data availability and insider attacks. If the businesses and customers are provided internet access, they can access their personal files directly from any corner of the world.
The Future of Prediction: Relationship between Google Searches and KSE 100 Index
This paper examines the relationship between big data and financial stocks of Pakistan. It examines and tests the relationship between search engine query volumes related to terrorism and financial market KSE 100 Index. Collecting data from 19 different search terms related to terrorism, this paper extends the study by applying linear regression between search queries and KSE 100 index prices. The results show statistically significant and positive between search keywords and prices which mean that frequency or changes in search indices is correlated with prices of KSE 100 index fluctuations. So frequency of keywords related to terrorism is showing the number of terrorism attacks happening in the country which might be means that these attacks are somehow affecting the stock market.
Keywords: Big data, KSE 100 index, search engine, terrorism.
Resource Estimation of Mobile Application Development: Review
A Mobile phone has evolved from being a voice communication system to a medium for technology. Mobile applications are a kind of software that is installed on a mobile device with some important differences than traditional software application and web applications. Most of the organizations have switched their web application based software’s to a mobile application based software’s. With the growth of smart phones there is a great demand for smart applications. For software companies it is important to deliver application software’s on time, within budget and with high accuracy. Effort estimation is the fundamental area that chooses budgetary constraints related to mobile application development which keeps company to maintain accurate estimates for mobile application development to maintain their reputation in the market. In this paper, different reviews are made clear to propose a way cosmic an appropriate method that can be used to size mobile application in a fast and accurate way.
Keywords: Mobile effort estimation, Function size measurement, Estimation models.