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1320 articles for “Computer Applications”
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Emerging Techniques and Trends in DNA Cryptography
Abstract: Abstract: This paper reviews recent research trends and methods in the field of DNA cryptography. An attempt is made to introduce biological background and the literature concerning the various DNA cryptography techniques mainly comes under Pseudo DNA cryptography and DNA steganography based on biomolecular operations. The paper explains some of the key algorithms in designing Pseudo DNA cryptographic scheme such as (i) DNA Insertion, (ii) DNA Substitution and (iii) DNA …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 3, 2019 · pp. 29–41 Read article
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Car License Plate Detection and Recognition using Morphological Image Processing and Template Matching
Abstract: This study presents a robust method for vehicle number plate detection and identification. It mostly consists of three stages: plate extraction, plate number separation, and number recognition. Morphological operation is used to extract plate and numbers, whereas template matching is used to recognize the extracted number images. After that, it looks into a predefined dataset to decide if the number is licensed. Being independent of plate size, color and illumination …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 21–27 Read article
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Histogram of Gradient (HOG) Method of Glaucoma Detection in Human Beings
Abstract: This study gives a brief information about the design and development of algorithms for the automatic detection of glaucoma using histogram of gradients methods with the classification being done using support vector machines.Keywords: Glaucoma, HOG, SVM, algorithms, gradient methodsCite this Article Fazlulla Khan, Ashok Kusagur. Histogram of Gradient (HOG) Method of Glaucoma Detection in Human Beings. Journal of Computer Technology & Applications. 2020; 11(1): 4–8p.
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 4–8 Read article
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BRAIN TUMOR DETECTION USING MACHINE LEARNING AND GAUSSIAN MIXTURE MODEL
Abstract: This paper provides an machine learning approach for the detection of brain tumors. The modified GMM approach is used for the detection of tumors. The ARFF dataset of tumor image is created. The training dataset is created and the efficiency of the approach is tested against the test dataset. The detection rate is 98.5.Keywords: GMM, Machine learning, technology, brain tumor, ARFF datasetCite this Article: Parimala Geetha K, C. Anna Palagan, …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 2, 2020 · pp. 1–4 Read article
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Image Retrieval by Matching Sketches and Images
Abstract: The proposed system provides a unique scheme for Content based image retrieval (CBIR) using sketches. CBIR is the application of computer vision to the image retrieval problemis the problem of searching for digital images in the large database. Content based means; the search will analyze the contents of the images. The term ‘content’ may referto colors, shapes, textures or any other information that can be derived from the image itself. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 1, 2014 · pp. 18–22 Read article
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Visionary Fusion: Empowering Robot Sight with Model-driven Multi-band Enhancement
Abstract: Single image enhancement is crucial for improving visual quality in applications like robot vision. This study proposes a novel topic-model assisted multi-band image fusion method to enhance a single input image while preserving semantic information. The key innovation is using topic models for adaptive band fusion based on image content. Comparative experiments on benchmark datasets demonstrate that the proposed technique outperforms state-of-the-art methods in quantitative and qualitative evaluation. This study …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 11–19 Read article
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Cyber Security Implementation Through Deep Learning Based Fraudulent URL Detection
Abstract: A malicious URL, sometimes known as Spam, malicious ads, and drive-by vulnerabilities may all be found on a site that is malevolent. To find rogue URLs, you need to be quick. Researchers previously used blacklisting, regular expression searching and signature matching in their investigations. These strategies are worthless for discovering new malicious URLs or updated versions of previously problematic URLs. A machine learning-based approach may be developed to overcome this …
Published in Recent Trends in Programming languages · Vol. 9, Issue 2, 2022 · pp. 35–42 Read article
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Security Using Identity Based Cryptography
Abstract: In today’s world, lots of transactions are carried out online via various applications using computer networks. Such sensitive information must be protected against any vulnerability. On the other hand, networks are becoming infrastructure less, dynamic in topology, nodes are mobile and with limited resources, communication links are not secured and mostly wireless. This has made security a very difficult task and concentrated efforts are required to design a specialized security …
Published in Journal Of Network security · Vol. 5, Issue 1, 2017 · pp. 39–47 Read article
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Person Identification Using Iris, Facial Image and Fingerprint with the Combined Algorithm of Principle Component Analysis and Singular Value Decomposition
Abstract: In this research, we consider three most important biometric features such as fingerprint, iris, and facial image to identify a person more precisely. Unimodal biometric system has several problems, such as noisy background data, non-universality and spoof attacks. Multimodal biometric systems can solve these limitations effectively by using two or more individual modalities. This system propose the Multimodal biometric systems on fingerprint, iris and facial image using combined algorithm of …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 29–34 Read article
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A Survey Paper on Gene Expression Data in Data Mining
Abstract: For analyzing the gene expression data, data mining technique, i.e. data clustering methods are to be more victorious. Cluster analyses are performed to look for separating the given data set into groups that are based on particular characteristics or behavior;therefore the data are much similar in the same group and different from other cluster/groups. From past few decades, various studies on cluster analysis have been developed. Most traditional clustering algorithms …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 14–22 Read article
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Mobile Cloud Computing–Implementation Problems and Solutions
Abstract: Mobile Cloud Computing (MCC) Has Been Introduced as A Potential Technology With Explosive Growth Developing mobile applications and cloud computing language concepts. From Mobile to the Cloud. The objective is to remove the obstacles associated with storage, bandwidth, diversity, and security. To Get Rid of Computing Loads of Mobile Devices Loading execution shipping technique is recommended for the migration process between machines. Offloading Exec In which area of the code …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 2, 2021 · pp. 28–35 Read article
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Comparative FEA Study of Robotic Arms Under Diverse Loading Scenarios
Abstract: The introduction of robotic arms into the industrial and research fields has transformed efficiency, precision, and productivity in a multiplicity of industries. Automating material handling and sorting, among others, the robotic system has optimized operations that enable industries to produce well above the required standards even though there is an enhanced increase in demand, reduces costs, and human labor. Robotic arms find widespread application in manufacturing, medical procedures, and in …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 24–32 Read article
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Privacy Aware Cross Cloud Service for Big Data Application Using Hiresome-II
Abstract: Cloud computing promises a scalable system for handling huge data applications like medical field analyses. For large scale data processing, a definite approach is provided by cross-cloud service. Nevertheless, the quality of potential compositions of cloud services concerns new composition and aggregation ways, particularly once some non-public clouds refuse to disclose all details of their service group action records, as a result of business privacy considerations in cross-cloud situations. Furthermore, …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 2, 2016 · pp. 21–32 Read article
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Edge Computing in IoT: Challenges and Opportunities for Engineers
Abstract: The internet of things (IoT) has revolutionized how we interact with our environment, collect data, and make decisions. However, the exponential growth of IoT devices has led to significant challenges in data processing, latency, and bandwidth usage. Edge computing provides an effective solution to these issues by bringing computation and data storage nearer to the source of data generation. This paper provides a comprehensive exploration of the challenges and opportunities …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
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Offloading Computation to the Cloud
Abstract: Mobile devices are increasingly relied upon for complex and resource-intensive applications such as real-time video processing, augmented reality, and machine learning. However, their limited computational power, storage capacity, and battery life pose significant challenges. Computation offloading to the cloud has emerged as a promising solution to overcome these limitations by transferring demanding tasks from mobile devices to remote cloud servers. This approach enables improved performance, reduced energy consumption, and enhanced …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 27–37 Read article
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Workflow Streamlining Through Shell Programming: A Review of Automation Techniques, Best Practices, and Applications
Abstract: The rapid advancement of modern computing systems and the increasing complexity of information technology infrastructures have created a growing need for efficient automation and streamlined system administration. Among the various automation technologies available, shell programming remains one of the most practical, flexible, and widely adopted approaches for managing repetitive tasks and optimizing operational workflows in Unix-like operating systems. Shell scripts enable administrators and developers to automate command execution, coordinate system …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 9–20 Read article
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Unveiling Patterns in Complexity: The Role of Simple Statistics and Fuzzy Mathematics in Data Analysis
Abstract: In this study, statistical methods must be integrated with fuzzy mathematics to solve complex data. Statistical methods offer clear, unbiased, and computationally feasible tools for analysing numerical data. whereas fuzzy mathematics excels in describing the vagueness and ambiguity of human feeling by way of linguistic variables, membership functions, and inference systems. Giving it an apparent advantage when modelling complex conditions. Hybrid frameworks offer fine-grained decision-making and resilient adaptability to real-world …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 01–10 Read article
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Mobile Technology for Libraries: Trends, Challenges, and Future Prospects
Abstract: Mobile technology has a great impact on both individuals and organizations. Over the time, the computational capabilities of these sophisticated technologies have become more accessible and reasonably priced. These technologies have an impact on how people choose to communicate, how they use and access the internet, and how they produce and consume content or services. Furthermore, these technologies have permeated the educational field and changed the way universities and other …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article
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Evolving Perspectives: Innovations in Object Detection and Identification
Abstract: One of the most important developments in computer vision has been the creation of object detection and identification systems, which have allowed robots to perceive and understand visual data similarly to humans. These systems locate each object by drawing a bounding box around it, in addition to detecting and classifying every object in an image or video. This study suggests a novel method for item identification and detection that makes …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 3, 2023 · pp. 23–27 Read article