Path planning and obstacle detection for blind people
In these rapidly expanding economies that evolve at a seeming pace, visually challenged have done the most of it in achieving formidable outcomes. However, limitations in mobility is a vital concern to be addressed for people with visual disability. Today’s demographic scenario reveals that visually impaired count for about 1% of the gross, and 10% of whom is totally blind leading to the urgency in the invention of a real problem-solving system for the impaired. Numerous devices already subsist for the need for global navigation like GPS systems, but these do not aid for the cause of local navigation, local path organizing, and crash avoidance. The key purpose behind this project is to design an electronic travel aid which consists of a wearable tool that serves the sightless to engineer their local navigation jobs. It includes a sensory system that is under the control of the user. The primary data necessary for local navigation is map data of the indoor environment which serves as the input to an audio-based navigation system that coverts this data into audio command guiding the person to navigate to a particular location. In addition to these navigation procedures, IR sensors and ultrasonic sensors are planted in for the obstacle detection on the sides and in front respectively for collision avoidance. The output from these sensor modules is fed into an Arduino microcontroller, which grabs all the output from these sensors for further processing and ending up in generating a voice output accordingly. Local navigation and collision avoidance together serve the purpose of mobility for the sightless in indoor environments.
Published by: Dedeepya Nelluru
Author: Dedeepya Nelluru
Paper ID: V5I4-1253
Paper Status: published
Published: August 5, 2019
Performance comparison of ANN and template matching on English character recognition
the recognition of handwritten documents, which aims at transforming the written text into machine-encoded text, is considered as one of the most challenging problems in the area of pattern recognition and an open research area. This brings the necessity to make research works on character recognition of the English alphabet not only recognizing measure and evaluate the performance of algorithms we used. A number of algorithms have been proposed for English character recognition such as a support vector machine, hidden Markov model, and neural network. In this research, the design and implementation of a character recognition system for English characters using artificial neural networks and template matching are presented. The complete system employs image acquisition, preprocessing, character segmentation, and classification and recognition. Finally, compare the performance of ANN and template matching algorithms. A data was an MNIST dataset taken from the NIST database. Overall, a recognition of ANN accuracy of 88 percent was obtained and template matching accuracy was 73 percent.
Published by: Muna Ahmed, Dr. Ali Imam Abidi
Author: Muna Ahmed
Paper ID: V5I4-1288
Paper Status: published
Published: August 3, 2019
A study of consumer behaviour towards food ordering through mobile apps
Smartphone technology has rehabilitated everything from taxi reservation to food ordering. People, especially the millennial generation, prefer to use high-end mobile apps ordering food from their preferred restaurant. Food is just a tap away, thanks to mobile apps. Many factors have influenced and impacted the reasons for online food ordering service and to name a few, most essentially the convenience factor, loyalty programs, social media and digital menu(customization). With on-demand popular food delivery apps like Swiggy, Food Panda, Zomato, Ubereats, etc., and people can have food delivered at their doorstep without conceding on the quality of food and their hectic schedule. This paper tries to understand the influence of demography of the people espousing to this technology. The impact of demographic factors on online food ordering behavior can be understood in this paper. The study also attempts to understand the intention of the customer to use such apps.
Published by: Dr. Bagirathi Iyer
Author: Dr. Bagirathi Iyer
Paper ID: V5I4-1283
Paper Status: published
Published: August 3, 2019
Colon targeted drug delivery system – A novel perspective
New developments have been taking place in the field of colon-specific drug delivery scheme in the latest years. Colonic drug delivery has become increasingly important not only for delivering the drug for the therapy of colon-related indigenous illnesses such as Crohn's disease, inflammatory bowel disease, etc. But also to provide protein, therapeutic peptides, anti-asthmatic drugs, medicine and anti-diabetic agents in particular. New colon targeting systems and techniques are created to overcome the constraints of the previous method. Colon targeting has great potential and still wants a lot of creative jobs. This review describes the implementation of colon, wishes, and approaches to the delivery of colonic drugs, the problem of colonic transformation, colonic diseases and thus the new and growing techniques.
Published by: Lokesh Kumar Thakur, Sushmita Rana, Amit Chaudhary
Author: Lokesh Kumar Thakur
Paper ID: V5I4-1273
Paper Status: published
Published: August 1, 2019
Study on rural roads construction by utilisation of waste materials
Research into new and innovative uses of waste material is continually advancing. Many highway agencies, private organizationss, and individuals are in the process of a wide variety of studies and research projects concerning the feasibility, environmental suitability, and performance of using recycled products in highway construction. The amount of wastes has increased year by year and the disposal becomes a serious problem. Particularly, the recycling ratio of the plastic wastes in life and industry is very low and many of them have been reclaimed for the reason of unsuitable ones for incineration. It is necessary to utilize the wastes effectively with technical development in each field. Expansive soils are so widely spread that it becomes impossible to avoid them for highway construction to keep the network structure for mobility and accessibility. However, the roads constructed on expansive soils suffer extensive damage and distress resulting in large economic loses running to billions of dollars. As thermal power plants are spatially distributed all over the country, the utilization of fly ash from these plants for the road construction, not only helps to consume bulk quantities of fly ash solving its disposal problem to a certain extent but also to satisfy the construction requirements. Reinforcement of soils with synthetic fibers is potentially an effective Technique for increasing soil strength. In recent years, this technique has been suggested for a variety of geotechnical applications ranging from retaining structure and earth embankments to subgrade stabilization beneath footings and pavements. Research on different types of reinforcement and materials has been conducted by several investigators. However, the amount of information available on randomly oriented fiber reinforcement is still limited. Here an attempt is made to the suitability of different types of waste plastics strips and waste tyre rubber chips reinforcing with gravel and flash in flexible pavement system on expansive soil subgrade. Commonly Gravel is considered to be suitable for road construction (MOST- 1998).
Published by: Kammampati Laxman
Author: Kammampati Laxman
Paper ID: V5I4-1291
Paper Status: published
Published: August 1, 2019
Designing a two-layer security algorithm for smart grid
Abstract Smart Grid (SG) is the next generation power grid which provides flexibility, reliability, and efficiency in generating, controlling, and distributing the electricity. The SG provides two-way communication between supplier and consumers and sensitive information is communicated on the network. The attackers try to steal this information to attack the grids and consumers for their benefits. Some of the most popular smart grid attacks are the key-based attack, data-based attack, impersonation-based attack, physical based attack. To overcome these issues, the cryptography algorithms and steganography algorithms are used. The cryptography algorithms are scrambled the message and transform into another form. The cryptography algorithms are categorized into two types. These are an asymmetric and asymmetric cipher. In the symmetric cipher same key is used for encryption/ decryption purposes. The symmetric cipher is further divided into types known as a block cipher and stream cipher. In the block cipher, the message is divided into fixed chucks and the same key, rounds are applied on each chuck. In the stream cipher, the plaintext and key bitwise XOR operation are performed. On the other hand, in asymmetric algorithms, two different keys are known as the public and the private key is used for encryption/ decryption purposes. In this thesis, a two-layer security algorithm is designed using lightweight cryptography and steganography algorithm which provide confidentiality as well as authentication. In which three algorithms are hybrid which includes PICO, Genetic Algorithm, and LSB algorithm. Initially, the secret data is encrypted using a lightweight PICO algorithm and initialization vector key is generated using a lightweight genetic algorithm. Further, the encrypted data is hidden in the image using the LSB algorithm. The proposed technique simulation results show that the proposed technique consume less memory, provide high avalanche effect and embedding capacity.
Published by: Gagandeep Sharma, Puneet Jain, Ravinder Singh
Author: Gagandeep Sharma
Paper ID: V5I2-1255
Paper Status: published
Published: July 31, 2019
