1 |
|
|
1-6 |
|
Search Engine Optimization Techniques for Attracting Organic Traffic to Websites
Abstract
Websites and web applications have gained immense popularity in this modern IT era. But merely creating a website or blog does not attract users or visitors. Most visitors are landing your website with a help of a search engine result. Hence it is utmost important to ensure that your website is displayed with an optimal rank in the search results provided by the search engine. The techniques that ensure that your website is given a prominent ranking in the search result are known search engine optimization (SEO). This paper discusses the types of SEO from various perspectives and the parameters that affect in selecting the SEO technique that fits your business.
2 |
|
|
7-13 |
|
VULNERABILITY ASSESSMENT IN LANDSLIDE RISK ANALYSIS
Abstract
Community service activities has been carried out in the Pudak Payung area of Semarang city. The research aim was constructing a map of the vulnerability zone that can provide information on areas prone to landslides. The research will be expected to provide information support to the local government when it will give permission or arrangement of residential areas as well as building structure construction recommendations. The method used in this research is recording microtremor data and based on the parameters of wave propagation amplification, the distribution of HVSR spectrum values, finally determine the soil vulnerability maps and ground shear strain maps. The results obtained indicate a compatibility between the distributions of soil vulnerability values to the location of the previous landslide during heavy rains.
3 |
|
|
14-21 |
|
RECOMMENDATION OF SENSOR BASED SMART DUSTBINS USING IOT
Abstract
This paper presents the design of smart dustbins for enhancement in waste management systems. There has been an increase in the garbage for urban areas due to drastic rise in population. Automatically operated Smart dustbins using IOT and sensor based technology are a boon to curb the problem of waste management. Traditional dustbins are manually handled by pressing foot against lever and throwing garbage. Trackers are needed to monitor on when it is full so that it can be emptied. Overflow of garbage results in land pollution, spread of diseases, and it creates unhealthy conditions for individuals and environment. Thus, there has to be a technology or system that must provide the vital signs of filling the bin that alerts the local municipality to clear the trash and protect our mother earth. In order to handle such problems, we proposed a system “Smart Dustbin using IOT and Sensors”. The proposed system provides an alert signals to inform the authorized individual by blink or buzzer. This system reduces labour effort with minimal resources. To support the smart city vision and to provide pollution free, green and healthy environment for a better lifestyle for mankind.
4 |
|
|
22-36 |
|
IMPLEMENTATION of DSL for WEB SCRAPING
Abstract
The main goal of this project is to implement a DSL for Web Scraping. A Domain Specific Language or DSL in short is a language that is created for solving a single purpose. It is a language that is used in only one domain. In our project, that domain is web scraping. Our main aim is to create a simple scripting language with easy to use syntax with many features that help the user scrape the web easily. Currently, web scraping is a tedious process. At the moment, the majority of web scraping is done by the means of modules in high level languages. This would require the user and in-depth knowledge of the high-level language as well, and thus precludes many laymen from easy web scraping. This project will provide a DSL with highly simplified syntax which does not assume any skill from the user. Thus, anyone would be able to use this language to scrape the web with no previous knowledge of the domain. This DSL has been implemented using Python and its scraping libraries. With this, many features and functionalities can be implemented in the DSL thus providing an effective tool for web scraping without compromising on simplicity
5 |
|
|
37-43 |
|
Diabetes Disease Prediction Using Machine Learning
Abstract
Data mining is known as the process of sorting through a large number of data sets to create relationships and to find patterns for solving a given problem through data analysis. Classification, Association rules, Prediction, Clustering, and Sequential patterns are some of the most important and common data mining techniques. Data mining methods are used in a wide variety of applications, also seen in the healthcare sector. Data analysis in the health care industry plays a significant role in the detection of diseases. A variety of tests would be expected from the patient to diagnose a certain disease. However, using the data mining technique, the number of tests can be minimized. These tests play a critical role in time and results. The data mining methodology has benefits and drawbacks. This paper analyses how data mining methods are used to identify various types of diseases. This paper surveyed research articles that focused primarily on predicting, diabetes, heart disease and skin cancer.
6 |
|
|
44-51 |
|
A REVIEW OF MACHINE LEARNING ALGORITHMS IN HEALTHCARE
Abstract
Machine Learning deals with study of computer algorithms which automatically improve the accuracy of predictive models through experience. It is a sophisticated technological trend that has various applications in every field such as Finance, Medical, Business, and Manufacturing etc. The field of Machine Learning has its roots in algebra, statistics, Medical Science and in Security. Machine Learning analyses, understands and recognizes a pattern in the data. We review different Machine Learning Algorithms used for detecting various diseases in this paper. The various Machine Learning algorithms help to build decision support systems.
7 |
|
|
52-65 |
|
Effect of elliptical holes on vibration characteristics of circular discs
Abstract
Circular plates with holes are widely used in mechanical parts. Circular plates with multiple holes have applications in many engineering structures. They are used either to decrease the mass of the structure by keeping vibration properties and material same or to upturn the range of inspection or to satisfy other engineering applications. Circular geometries are used in extensive variety of applications because of the ease of their manufacture. There are certain special applications, wherein there is necessity of other shape holes. This research presents an effect of number, size and location of elliptical holes on the disc with inner radius 10 mm and outer radius 55 mm under a static condition using natural frequencies. This analysis helps in making annular disc last longer and to realize solutions to problems with noise, natural frequency (fn) and fatigue life of the spinning discs. Annular discs are analysed by Finite Element Analysis (FEA) using ANSYS 14.0 assuming discs in static condition and results are validated experimentally with modal hammer test and FFT. It found that with increase in number of holes, i. fn decreases for holes at radius 35 mm from center of the disc ii. fn increases for radius 40 mm upto 200 size for any number of holes and from 250, 300 and 350 size, fn increases upto 2, 4, 5 holes respectively and then decreases iii. fn increases for holes at radius 45 mm. With increase in holes size, fn i. decreases for radius 35 mm ii. Increases upto size of 200 and deceases thereafter for radius 40 mm iii. Increases for radius 45 mm. As location of holes moved away from the center, fn increases and vice versa. The values of the natural frequencies of the static and rotating discs as well as the values of the residual stresses and their locations are helpful to quantify the stress effects. This also helps the disc manufacturers to incorporate these modifications into their future designs for better performance of rotating machine components and products.
