首页期刊导航|Oriental journal of computer science and technology: An international open access peer reviewed research journal
期刊信息/Journal information
Oriental journal of computer science and technology: An international open access peer reviewed research journal
Techno Research Publishers
Techno Research Publishers
季刊
0974-6471
Oriental journal of computer science and technology: An international open access peer reviewed research journal/Journal Oriental journal of computer science and technology: An international open access peer reviewed research journal
查看更多>>摘要：The model and pattern for real time data mining have an important role for decision making. The meaningful real time data mining is basically depends on the quality of data while row or rough data available at warehouse. The data available at warehouse can be in any format, it may huge or it may unstructured. These kinds of data require some process to enhance the efficiency of data analysis. The process to make it ready to use is called data preprocessing. There can be many activities for data preprocessing such as data transformation, data cleaning, data integration, data optimization and data conversion which are use to converting the rough data to quality data. The data preprocessing techniques are the vital step for the data mining. The analyzed result will be good as far as data quality is good. This paper is about the different data preprocessing techniques which can be use for preparing the quality data for the data analysis for the available rough data.
查看更多>>摘要：Potatoes are cultivated in several states of India. Potatoes provides a low-cost energy in human diet. Potatoes are used in industry for making dried food products. Early blight and Late blight are major disease of potato leaf. It is estimated that the major loss occurred in potato yield due to these diseases. In this research, we have collected sample of potato leaf images from Plant Village dataset.This dataset contains 2152 images of potato leaf. It has 3 class of sample of Healthy Leaf, Early Blight and Late Blight. The 76 features are extracted from these images regarding color, texture and area. The extracted features are used to develop a classifier. The developed classifier is based on neural network for prediction and classification of potato image samples. The Feed Forward Neural Network (FFNN) Model is used for prediction and classification of unknown leaf. The accuracy of model is achieved 96.5%. Classifier is helpful in early and accurate prediction of the leaf diseases of potato crop.
查看更多>>摘要：Players more often engage in excessive physical activities during exercise session as well as in the game session because results of the games highly depend over the performance of participants that can be degraded due to various factors current health status, injury history, exercise types and duration, training and game experience. A Multi Agent System can analyze all these factors and the overall performance of the participants can be improved using feedback. In this paper, the role of the Artificial Intelligence, Expert System, Machine/ Deep Learning/Neural Networks in the sports and healthcare industry will be explored.
查看更多>>摘要：Activity Recognition is a computer software program or a hardware device that can recognize the human activity being performed. With the rise of Machine learning and its applications everywhere, one of them is computer vision which uses Deep Learning Techniques. Program that utilizes these Machine or Deep learning techniques to recognize human activities is referred to as Human Activity Recognition System. The basic principle behind the action recognition is using sensors data, video stream or images to recognize the activity using neural networks. Modern human activity recognition systems are mainly trained and used upon video stream and images data that understand the features and actions variations in the data having similar or related movements. Human Activity Recognition plays a significant role in human-to-human and human-computer interaction. Manually driven system are highly time consuming and costlier. In this project, we aim at designing a cost-effective and faster Human Activity Recognition System which can process both video and image in order to recognize the activity being performed in it, thereby aiding the end user in various applications like surveillance, aiding purpose etc. This system will not only be cost effective but also as a utility-based system that can be incorporated in a large number of applications that will save time and aid in various activities that require recognition process, and save a lot of time with good accuracy Also, it will aid the blind people in knowing what's happening around them by incorporating this system into a handheld device.
查看更多>>摘要：Continuous striving in the development of wireless mobile networks maximizes the possibility of user services and provides experience context rich and personalized services. In this way, for the development towards fully integrated 4G-all IP network architecture, the interoperability between future generation wireless networks and seamless vertical handover (VHO) has become a crucially important issue. The proposed work is mainly focusing on exploring interoperability issues in heterogeneous networks considering development towards 4G and emphasizing on emerging IEEE 802.21 standard. Further, Simulation results were presented to showcase vertical handover (VHO) performance using IEEE 802.21. Simulation Analysis is done using Network Simulator (NS-2) with seamless mobility package extension.
查看更多>>摘要：Speaking of recent advances, many computing technologies have been applied to several domains and have proved to provide more approximate and acceptable results. Fuzzy logic being one of them has been very useful in solving many real-world problems that are inherent for their uncer-tainty, complexity, impreciseness and a high degree of randomness. Soft computing aims to mimic human thinking and thus solve problems as a human does. The systems embedded with one or more soft computing technologies tend to make decisions quicker (reducing the processing timeframe) and more accurate in the light of uncertain and indefinite data. The current research is well intended in a time when agricultural technology has a prominent role to play in the future of agriculture and allied sciences. Fuzzy Logic is a widely used technique in control systems, industrial automation, Al and Robotics. Its ability to deal with uncertain data have been exploited in biological and life sciences too. This paper aims at an extensive review of concepts of fuzzy logic technique unraveling important applications in the field of agricultural science and meteorology.
查看更多>>摘要：A Mobile Ad Hoc Network (MANET) is much more vulnerable to various security attacks due to its high mobility, multi-hop communication and the absence of centralized administration. In this paper, we investigate the impact of Jellyfish periodic dropping attack on MANETs under different routing protocols. This investigate is under the class of denial-of-service attack and targets closed loop flows which results in delay and data loss. In this paper, the simulation results are gathered using OPNET network simulator and its effect on network performance is studied by analysing re-transmission attempts, network load and throughput. The results have shown that the impact of Jellyfish periodic dropping attack which reduces the network performance. Performance shows OLSR performs better than AODV under periodic drop attack.
NETL
NSTL