Design and Evaluation of Parallel Processing Techniques for 3D Liver Segmentation and Volume Rendering
Ensuring Software Quality in Engineering Environments
New 3D Face Matching Technique for an Automatic 3D Model Based Face Recognition System
Algorithmic Cost Modeling: Statistical Software Engineering Approach
Prevention of DDoS and SQL Injection Attack By Prepared Statement and IP Blocking
The textile industry places a high value on detecting and classifying the different kinds of defects that can be found on fabric surface. Using deep-learning and computer vision, the proposed study has detected and classified different fabric defects into their respective classes. This has been accomplished by using a specialized YOLOv4 image detection and classification model. The fabric images were engineered in the first step, then a pre-trained YOLOv4 model was used to learn the defects from the trained data, and in the second step its detection precision was measured on the test data. In the third stage, the model has been compared with YOLOv3 and YOLOv2. The result of this research will immensely help the fabric manufacturing companies to reduce the manual effort of detecting and classifying different sorts of fabric defects if the models are implemented on physical devices to detect the defects in real-time and production environments.
Attribute-based encryption of cipher text policies seems promising in terms of securing cloud data sharing since the data owner has complete control over the access policy. However, CP-ABE has a key escrow issue, in which users' secret keys must be issued by a trusted key authority. Attributes with arbitrary states are not supported by CP-ABE systems. As a result, it explores attribute-based data sharing to address the key escrow issue while simultaneously improving the expressiveness of attributes, resulting in a technique that is more amenable to cloud computing applications. The proposed two-party key issuance mechanism, ensures that neither the key authority nor the cloud service provider can compromise a user's entire secret key. Furthermore, it offers the concept of an attribute with weight, which is used to improve the expression of an attribute and cannot only extend the expression from binary to arbitrary states but also reduce the complexity of access policies.
Recommendation System plays a very important role in today's digital world, and it makes use of information retrieval, machine learning, and data mining to provide a better user experience. It provides a personalized recommendation to the end-user and helps in decision making. This recommendation system will provide the latest and best price from different online stores such as Amazon, Bigbasket, Grofers. It will make a recommendation based on recent searches and the most frequent item which a user may require. The main goal of developing a hybrid recommendation system model, helps the user to get the best product available without making any extra efforts online. This recommendation will keep track of user search history and carts which were previously created. The user credentials and personal information will be secured using blockchain and the data analysis will be carried out using various algorithms. Traditionally, the user has to search across various sites to get the best deal which is a bit tedious and time-consuming, but this paper will provide a seamless experience as all the data regarding a product will be available at one place where the user will have the freedom to choose the best price and merchant as per his/her requirement.
More the technology advances in future, easier would be the lives that rely on them. Automation is one of these advancement in technologies. The terms "Smart Lamp" and "no effort" can be used in conjunction with the phrases "easiness of accomplishing a task" and "less human participation". The Internet of Things (IoT) is another term that refers to the concept of connecting everything in the environment as a component of the Internet. At present, streetlights are operated which results in massive energy waste all around the world and should be eliminated. This paper proposes the concept of intelligent streetlight, which will use IoT to reduce power usage and improve automation by reducing human involvement in the operation of the system. Detailed review had been done on the existing works to select the sensors and components for proposing the smart streetlights.
Customer satisfaction plays a key role in the development and deployment of software products. Firms are seeking to embrace customer-centric techniques that will help them build valuable software in a short period while staying within their budget. One of the software development methodologies that help to fulfill changing customer requirements is the Agile Software Development methodology. This paper covers the basics of agile technique and multiple agile models, with a focus on Scrum.
