Landslide Susceptibility Mapping through Weightages Derived from Statistical Information Value Model
An Efficient Foot Ulcer Determination System for Diabetic Patients
Statistical Wavelet based Adaptive Noise Filtering Technique for MRI Modality
Real Time Sign Language: A Review
Remote Sensing Schemes Mingled with Information and Communication Technologies (ICTS) for Flood Disaster Management
FPGA Implementation of Shearlet Transform Based Invisible Image Watermarking Algorithm
A Comprehensive Study on Different Pattern Recognition Techniques
User Authentication and Identification Using NeuralNetwork
Flexible Generalized Mixture Model Cluster Analysis withElliptically-Contoured Distributions
Efficient Detection of Suspected areas in Mammographic Breast Cancer Images
The purpose of this research is to demonstrate how a Voice Command System is implemented. The primary input of a user's voice is used in this method. We were able to convert voice as an input to text with speech to a text engine. The resulting text is used to process questions and collect relevant information. After collecting the information, it was converted to speech using speech-to-text and the correct output was delivered to the user. This research has realized a public API based speech recognition system with Raspberry Pi and USB microphone as hardware and several python programming languages. Osun State Polytechnic Iree has many different offices and lecture halls and the directory is done by signposts and asking people around the campus and there has been a great problem as some signposts have fallen off. While the signposts can only give a directive to buildings, it can't give the directive to offices inside the building and some visitors get embarrassed by the way they are replied to, some may be given the wrong direction while some may not get being replied at all. These prompts to design a system that gives visitors direction to offices and lecture rooms in Engineering building. The research covers the hardware specification of the speech recognition system and also maps an application of public speech APIs and shows a realization using appropriate hardware.
Security of life and property in any society is indispensable.Security is a major problem for both the government and the citizens of the global community, as it is obvious Nigeria is presently bedevilled with security challenges such as the kidnapping and abduction. This is because the high rate of abduction of primary and secondary pupils in the country is becoming alarming, the educational institution is gradually becoming a source of hostility and nightmare for a child. However, the proposed system was designed and implemented to effectively solve this problem with the use of fingerprint biometric technology, the system is designed to authenticate whoever is picking a child from school and authorise the student clock out for the day. The system reduces the risk of impersonation during student pick-up in school.
Land use planning has been promoted as an important tool for sustainable use and management of land resources. Land use-Land cover classification is a fundamental dataset required in land use planning used by planners, legislatures, national, state and local planning agencies to overcome the problems such as uncontrolled development, haphazard growth, loss of agriculture land and deteriorating environmental quality. To make future action plans. This research paper focuses on conserving land resources to increase the welfare of the people through Geographic Information Systems (GIS) and Remote Sensing techniques. The current study proposes a Land Resource Action plan for arable land, wasteland, forest land and Hills. The alternative Land use systems have been recommended for different Land use-Land cover classes. The cropping pattern, improved agronomic practices, suitable crops, trees, and grasses have been suggested. For the development of forest, different soil-water conservation measures with afforestation of suitable species have been suggested as per land capability.
As of today, the physical condition of the manuscripts, most of them from ancient period, is deteriorating, creating issues in probable digitization and effective restoration procedures. A systematic approach in digitization and manuscripts restoration is going on, which involves image processing (mainly the acquisition) methods as a preventive measure. This paper presents a concise survey of classical and recent manuscript image processing methods. These documents have physical degradation, which prefers photographs rather than scanning, that may lead to further deterioration. This paper discusses the methodology, contributions, advantages, and disadvantages of the reviewed methods. Further, it also highlights the challenging problems in manuscripts image processing with the scope of future enhancements. The objective of this survey is to help researchers working in the domain of image processing, irrespective of the application areas.
Face recognition is the second most widely used biometric approach after fingerprint. The applications of Face recognition are widely accepted and finding their space either at an organization or individual level due its adaptability among the people. But FR systems are vulnerable to spoofing attacks made by non-real human faces. Liveness detection is required for a secure program to protect against such spoofing. In this work, face liveness detection approaches are categorized based on types of techniques used for liveness detection. This classification helps in understanding various spoof attack scenarios and their relation to the formed solutions. A review of the previous works respect to face liveness detection is presented. The main objective is to outline the future development of a new and more secure liveness detection approach for face.
