100 results for “E-learning Security”

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Research ArticleOpen accessIn the abstractAn Improved Approach for Detecting Car in Video using Neural Network ModelS. N. Sivanandam, T. Senthil KumarThe study represents a novel approach taken towards car detection, feature extraction and classification in a video. Though many methods have been proposed to deal with individual features of a vehicle, like edge, license plate, corners, no system has been implemented to combine features. Combination of four unique features, namely, color, shape, number plate and logo gives the application a … …Journal of Computer Science, Vol. 8, Issue 10 · 1 Sep 2012 · 7,151 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImplementation of an Improved Data Encryption Algorithm in a Web Based Learning SystemAdeolu Olabode Afolabi, Rotimi AdagunodoProblem statement: This study proffered solution to some identified data insecurity problems in software development by the use of Web-based learning system as a test bed and development of an hybrid crypto-biometric security system. Approach: A variant of data encryption algorithm tagged (XOR-RSA algorithm) is developed in order to encrypt the messages being sent between the learner and the facilitator. … …Physics International, Vol. 2, Issue 1 · 23 Jan 2012 · 7,768 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAnimation of Natural Language Specifications of Authentication ProtocolsMabroka A. Mayouf, Zarina ShukurProblem Statement: A few visualization tools have been created for protocol design and analysis. Although these tools provide an environment for designing security protocols, each one has its own protocol definition language (its also called informal specification language). The problem is that the user should understand the language which related to the used tool in order to define an exist … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,731 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Backpropagation Neural Network for Computer Network SecurityKhalil ShihabIn this paper, an efficient and scalable technique for computer network security is presented. On one hand, the decryption scheme and the public key creation used in this work are based on a multi-layer neural network that is trained by backpropagation learning algorithm. On the other hand, the encryption scheme and the private key creation process are based on Boolean … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 19,535 accessesView PDF Cite

EditorialOpen accessIn the abstractProtecting crop species from biotic and abiotic constraints in the era of Global Change: are we ready for this challenge?Marco Landi, Giovanni BenelliReliable and affordable supply of food is of crucial importance to the progress and stability of human societies. During the last century, we have assisted to an extraordinary increase of crop yields, especially for the most widespread and consumed crop species, such as rice, wheat, corn and soybean. The Broadbalk experiment, one of the oldest continuous agronomic experiments in the … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 2 · 4 Jun 2016 · 8,399 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Backward Regressed Capsule Neural Network for Plant Leaf Disease DetectionJennifer Jepkoech, Benson Kipkemboi Kenduiywo, David Muchangi Mugo, Edna Chebet ToolThis study investigated the introduction ofbackward regression coupled with DenseNet features in a Capsule Neural Network(CapsNet) for plant leaf disease classification. Plant diseases are consideredone of the main factors influencing food production and therefore fast cropdisease detection and recognition are important in enhancing food securityinterventions. CapsNets have successfully been adopted for plant leaf diseaseclassification however, backpropagation of signals to preceding … …Journal of Computer Science, Vol. 18, Issue 9 · 8 Sep 2022 · 5,718 accessesView PDF Cite

Research ArticleOpen accessIn the abstractObject Detection and Classification from Thermal Images Using Region based Convolutional Neural NetworkUsha Mittal, Sonal Srivastava, Priyanka ChawlaIn recent years, object detection and classification has gained so much popularity in different application areas like face detection, self- driving cars, pedestrian detection, security surveillance systems etc. The traditional detection methods like background subtraction, Gaussian Mixture Model (GMM), Support Vector Machine (SVM) have certain drawbacks like overlapping of objects, distortion due to smoke, fog, lightening conditions etc. In this … …Journal of Computer Science, Vol. 15, Issue 7 · 18 Jul 2019 · 9,448 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Secure Model for Storage and Dissemination of Examination Results: A Case Study of Zambia Technical Education Vocational and Entrepreneurship Training AuthorityLister Mseteka, Jackson PhiriMost developing countries and public higher institutions of learning have low levels of Information and Communication Technology (ICT) and hence face challenges in securing information and information systems. Therefore, dissemination of examination results through web and mobile applications usually raise security concerns on how to ensure the confidentiality, integrity and authenticity of students’ examination results due to susceptibility of web … …Journal of Computer Science, Vol. 15, Issue 2 · 1 Feb 2019 · 8,058 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStock Trading Using PE Ratio Based on Bayesian InferenceHaizhen Wang, Ratthachat Chatpatanasiri, Pairote SattayathamThe Price Earnings (PE) ratio is one of the most widely applied tool for the firm valuation in a security market. Unfortunately, recent academic developments in financial econometrics and machine learning have rarely looked at this tool. In the paper, we propose to formalize a process of fundamental PE ratio estimation by employing Dynamic Bayesian Network (DBN) methodology. Forward-backward inference … …Journal of Mathematics and Statistics, Vol. 13, Issue 3 · 29 Sep 2017 · 7,425 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Role of Government for Ecotourism Development: Focusing on East Coast Economic RegionMd. A.H. Bhuiyan, Chamhuri Siwar, Shaharuddin M. Ismail, Rabiul IslamProblem statement: This study explored the plans and strategies of government for ecotourism development in Malaysia as well as ECER. Government participation is necessary in developing economies where tourism planning and promotion tend to be controlled directly by governments. The ecotourism activity should have a strong focus on learning through interpretation of local ecosystems and cultural heritage. Malaysia has formulated … …Journal of Social Sciences, Vol. 7, Issue 4 · 14 Sep 2011 · 14,457 accessesView PDF Cite