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629 articles for “Computation”
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PATrIoT: Precision Agriculture Through Internet of Things
Abstract: The paper report is on the design of the sensor network when connecting agriculture to the IoT. Reliability, management, interoperability, low-cost and commercialization are considered in the design. Finally, we share our experiences in both development and deployment. This paper developed the decision support system to forecast agricultural production using IoT sensors. This system was also a unified system that supports the processes sowing seeds through selling agricultural products to …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 16–22 Read article
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SARGoT: Smart Autonomous Robotic Goods Transporter
Abstract: In the present condition industrial loading and unloading of heavy loads manually is one of the most important objectives which turn out to be quite difficult, time-consuming and risky for humans. In this modern era, robots are being developed for various purposes to accomplish many tasks which seem to be too complex for humans. The advantage of using robots, for industrial purpose have been excellent in terms of speed and …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 23–29 Read article
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Experimental Realization of Constrained Optimization of Sliding Mode Controller Parameters with Modified Objective Functions
Abstract: An appropriately tuning of Sliding Mode Control (SMC) can be used to overcome the weaknesses like sensitivity to parameter variations, modeling errors and external disturbances. In this research article, Non-Dominated Sorting Genetic Algorithm (NSGA-II) based SMC with modified objective function and the best weight values have been evaluated to improve the performance of closed-loop level control system. Equivalent weights and importance weights are assigned to each term of an objective …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 8–25 Read article
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Mathematical Education visualizing with Printing 3-D Technology
Abstract: The main objective of this paper is to explain the role of 3D printing technology in the field of mathematical education. Visual teaching has always been an important component of education. Abstract mathematical concepts help students in understanding and mastering knowledge. One of the prominent technologies in visualizing the mathematical concepts is 3D Printing. In this paper, it is discussed that how 3D printing helps in conceptual understanding and creating …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 33–38 Read article
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Feature Extraction and Evaluation of Colon Cancer Using PCA, LDA and Gene Expression
Abstract: At about 90 per cent of cases occurring in 50 people or older, colorectal cancer is the second most common type of cancer globally. Cancers may penetrate the deeper layers of colon and spread to other organs from the inner surface or from the muscular layer of the colon. The illness is lethal left untreated. Current screening of colon cancer is performed by colonoscopy. Visual examination of the colon and …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 26–32 Read article
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Adaptive Text_Summarization: A Meaningful Summarization of Reviews
Abstract: Adaptive text_summarization is a model which takes elaborated data set of reviews containing more than two attributes as input and further breaks down those large chunks of text into summarized - form by eliminating attributes which are of less important for final evaluation. We keep only those attributes which contribute for better adaptation of meaning of the dataset. We have executed the techniques of Recurrent Neural-Network and Seq2Seq models to …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 1–7 Read article
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Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification
Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article
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Cyber Crimes: Their Impacts & Solutions - A Review
Abstract: This paper distinguishes the significance of being familiar with the impacts of cyber crime remembering the ongoing exercises that have occurred and offering answers for shield oneself from it. In the present period of web based preparing, limit of the data is on the web and inclined to cyber attacks. There are countless cyber attacks and their conduct is hard to early seeing subsequently hard to limit in the early …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 1–10 Read article
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A Survey of Key Policy and Ciphertext Policy Attribute based Encryption on Various Security and Efficiency Parameters
Abstract: ABSTRACTCloud is providing various services and out of which storage is one such credential service. Many users are gaining benefits by storing their data in cloud because cloud provides unlimited storage, High speed Computations and better convenience. But the problem arises when the user has to store some critical data in the cloud. So, a promising Cryptographic scheme called as Attribute based encryption is needed which not only is showing …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 45–52 Read article
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A Review of Modeling and Data Mining Techniques Applied for Analyzing Steel Bridges
Abstract: The vibration response data measured from the structure contains uncertainties and requires different techniques for its analysis. The present study involves the comprehensive review of the model based and data mining techniques which are frequently applied by various researchers in past to solve various multi criteria decision making and analysis problems. The selection of suitable technique for specific problem is required to obtain accurate outcomes. The literature survey is done …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 1–15 Read article
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A Study on Supervised Machine Learning-based Airports/Flight Delay Analysis and Classification
Abstract: Airline delays are a major cause of the financial losses that plague the global aviation business. Airports, airlines, and passengers all suffer when flights are delayed. Their forecast is vital to the commercial aviation industry's decision-making process. Flight presents a significant obstacle for the aviation sector. Increased air traffic and subsequent flight delays are a direct result of the aviation industry's rapid growth over the past two decades. The economic …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 20–36 Read article
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A Secured Distributed Database System Using Rijndael Encryption Algorithm
Abstract: There is a pressing need to secure distributed database system in order to address effectively some challenges, such as, no encryption of users’ access details in the database, which could be hacked by skilled hands, and also the security of the data is highly and threateningly compromised when using data encryption standard (DES) algorithm. This is because it has weak or semi-weak keys, inability of DES algorithm to eliminate the …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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Introduction to Kinematics using Artificial Neural Network
Abstract: A neural network is a machine designed to simulate how a specific process or function ofinterest is performed by the brain. To achieve good efficiency, we use a large interconnectionof simple computer cells called "neurons" or "processing units." Therefore, a neural networkviewed as an adaptive machine can be described as a massively parallel distributedprocessor comprising simple processing units with a natural propensity to store experimentalknowledge and make it available for …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 1–5 Read article
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Robot Kinematics and Neural Networks: A Summary
Abstract: The robot control problem can be divided into two main areas: kinematics control (coordinating the kinematics chain links to generate the robot’s desired motion) and dynamics control (driving the mechanism's actuator to obey the programmed positions and speeds). Further, the kinematics analysis is performed in two ways in robotics, with forward kinematics (FK) and inverse kinematics (IK). FK is defined as the mapping from joint space to Cartesian space (also …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 40–45 Read article
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Performance Comparison of Retinal Image Enhancement Techniques using Wavelet Transforms
Abstract: Retinal picture getting ready is indispensable in the medical field. Retinal overseeing and picture update are crucial here. At the first stage, Discrete Wavelet Transform (DWT) is used to enhance the image. Here, each sub band is processed differently to enhance the image. Since the issues in retinal image are dazzling and complicated to revive, we can execute the picture of solid retinal image for improvement estimation through a twofold …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 1–7 Read article
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Convolution Neural Network Model to Classify Photo Gallery on an Android Device
Abstract: The classification of images is a classic topic in the domains of image processing, computer vision, and machine learning. Convolution Neural Networks, a sort of deep learning that falls under the Machine Learning sub-domain, have been used in this model. This model was inspired by the problem that students experience at the end of the academic year is that their phones become cluttered with photos from various sources. The aim …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 1, 2022 · pp. 9–17 Read article
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Towards Inclusive Communication: Reviewing CNN Models for Hindi Varnamala Sign Language Recognition
Abstract: Dealing with an individual who has hearing impairments is never easy. This research represents an effort (extension) to investigate the challenges associated with character categorization in Indian Sign Language (ISL).It is necessary for two people to know and comprehend the same language to create communication. However, sign language is necessary for communication for those who have hearing impairments. The gestures used by the deaf and dumb people are easy for …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 16–21 Read article
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Recent Advances in Hand Gesture Recognition: A Review of Algorithms and Applications
Abstract: When it comes to human communication, hand movements are crucial in sign language. People who are Deaf or Hard of Hearing communicate with hand gestures. The experimental plan of action makes use of a reasonably priced, solid-position web camera with a 10 mega pixel resolution that is mounted on the computer monitor's outer border. It takes pictures using Red, Green, and Blue [RGB] to enlarge space from a tight distance. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 22–28 Read article
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Microstrip Patch Antenna Review for WLAN and WiMAX Application
Abstract: In this fast growing world, dual and multiple band antennas have been playing a very vital role for the wireless service needs in the field of wireless communication. WLAN and WiMAX are the techniques that are broadly used in mobile networks such as handheld computers and smart phones. The above techniques are considered extensively world wide as a cost-effective, flexible, reliable and high speed data connection that enables user mobility. …
Published in International Journal of Broadband Cellular Communication · Vol. 1, Issue 2, 2015 · pp. 8–12 Read article
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Wireless Sensor Networks-Based Intelligent Transportation System
Abstract: Rising private vehicles in urban areas resulting more traffic and pollution in cities which requires an intelligent transportation system based on wireless sensor networks. Intelligent transportation systems (ITS) plays an important role in management of traffic. Wireless sensor networks is an emergent technology with an effective potential to overcome these difficulties and improves ITS. We will discuss their architectural and engineering challenges. The description of sensor node designed for sensing …
Published in International Journal of Broadband Cellular Communication · Vol. 4, Issue 1, 2018 · pp. 16–20 Read article