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1981 articles for “A* algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Sedimentation Analysis of Pench Dam using SWAT and SWAT-CUP Algorithm
Abstract: The Soil and Water assessment tool (SWAT) can be a very important tool to analyze the sediment as the determining the actual sediment deposit requires the very extensive observations of the sediment and it can be very much expensive and time consuming. The SWAT model along with little input of observe data can be used with proper calibration technique as the actual data for sedimentation and studying the changes in …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 19–61 Read article
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Application of Genetic Algorithm in Resource Leveling and Allocation
Abstract: Resource leveling and allocation is one of the most important aspects in construction management. Critical path method and program evaluation review technique is frequently used for scheduling of construction projects. However, it is not capable of minimizing unwanted fluctuations in resource utilization profile. The basic idea of resource leveling is to minimize resource fluctuation. In addition to this, the paper uses the resource utilization period. This research paper presents an …
Published in Recent Trends in Civil Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 1–8 Read article
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Reinforcement Layout Optimization of RCC Beam using Firefly Algorithm
Abstract: The optimization of layout design of steel in the domain of concrete has been an interesting topic during the last few years. The main focus of this study is to make an attempt to determine the optimal layout of steel in the concrete domain using metaheuristic algorithms. In this study, firefly algorithm is used. Two different approaches have been studied and the merits and demerits have been put forward. The …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 28–35 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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Optimal Location of IPFC based on Installation Cost in a Power System Network using ABC Algorithm
Abstract: This paper presents a methodology for locating the optimal position of Interline Power Flow Controller (IPFC) in a power system network based on installation cost. The proposed methodology uses both conventional and non conventional optimization tools such as LR and ABC, respectively. This methodology is formulated mathematically based on installation cost of the FACTS device and generation cost of the real power. IPFC is modeled using Power Injection (PI) model …
Published in Trends in Electrical Engineering · Vol. 2, Issue 1-2-3, 2012 · pp. 11–30 Read article
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Feature Fusion Based Iris and Retina Recognition System Using Kohonon Self-Organizing Mapping Neural Network Algorithm
Abstract: This paper proposes a model of biometric security with feature fusion based iris and retina recognition system. Though, a lot of research works have done for iris recognition system and it is not new for the fusion of multimodal iris recognition in the area of biometric security and authentication system. But, it is a relatively new idea of mixing iris and retina features for human authentication. Here, the features of …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 22–26 Read article
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Economic Efficient Dispatch Solution with Pollution Control Technique Using Genetic Algorithm
Abstract: In this paper, an attempt has been made to create a hybrid power system with the available sources of energy to generate power in most efficient, economical, emission-less and in a sustainable way. It is a continuation of the research article published in Trends in Electrical Engineering, 2016, volume 6, issue 1, 10–16p. It is important to utilize the renewable sources of power generation since the global power demand is …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 32–43 Read article
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The Emergence of REM Detection Algorithm
Abstract: The objective is to use these EEG features for developing a simple algorithm capable ofdetecting REM stage epochs. Both these objectives ultimately aid the development of a sleepstaging algorithm that could be used as part of a truly wearable sleep system. Spectral edgefrequency (SEF) is the frequency below which a certain fraction of the signal powerKeywords: EEG, EEG channel, REM, Spectral edge frequency, SEFd, signal
Published in Trends in Electrical Engineering · Vol. 10, Issue 1, 2020 · pp. 43–49 Read article
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Sentiment Analysis of Twitter Data for Better Services of Airlines Using Classifier-Model Algorithms, AI, and NLP Techniques
Abstract: The rising attractiveness of social media sites and usage of social websites is to share information. Tweet, for instance, is a stage in which audiences direct, and examine posts recognized as “tweets,” and engage together in one-of-a-kind communities through feedback, comments, tweets, and reviews. There are so many companies that want tweets, comments, reviews, and analyses on their products and services, so they can improve their services, products, and customer …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 29–46 Read article
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Improving Software Cost Estimation Process through Classifcation Data Mining Algorithms using WEKA Tool
Abstract: Today, the Software Cost Estimation (SCE) is one of the hot research areas among the researchers. Cost estimation is a method of the achievable cost of a product, thing, program, or an undertaking, enrolled in light of available information. It attempts to data predict good results to combined both of the field software engineering and data mining in this work. It generates the accurate cost of the projects with the …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 24–33 Read article
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Stream Cipher Based Modified Espresso Algorithm for 5G Communication
Abstract: AbstractTo meet the requirement of 5G communication, Dubrova and Hell design Espresso, which is a stream cipher. Espresso uses 128-bit key, 96-bit initial vector (IV) and a 6-degree Boolean function as its output function. Jia-Min and Wen-Feng showed that algebraic attack is possible with time complexity being O(2(66.86)). In this paper, we present a methodology for the modification of Espresso with reformed Galois configuration of 256-bit Nonlinear Feedback Shift Registers …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 1, 2019 · pp. 32–40 Read article
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Genetic Algorithms for DTSP: A Study of Different Mutation Rates
Abstract: ABSTRACTThis paper deals with performance evaluation of genetic algorithms (GAs) for the dynamic traveling salesman problem (DTSP) using different values of mutation rates. DTSP is known to be NP-hard, and consists of the solution containing N! permutations. The objective of the study is to evaluate the ability of GA to solve the optimization problems using some variations in its parameters. All performance evaluation has been performed using a software program …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 3, 2012 · pp. 21–27 Read article
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An Abnormal Expression Detection System (AEDS) Using Deep Learning Algorithms
Abstract: In the last decade, many deep learning algorithms have achieved remarkable success and gained popularity in various computer vision tasks, including object detection, image recognition, and segmentation. This AEDS (Abnormal Expression Detection System)leverages the power of deep learning algorithms to detect abnormal facial expressions in real-time automatically. AEDS proposed two important models; those are Deep CNN and RNN. CNN is responsible for learning discriminative features from facial images and capturing …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 72–79 Read article
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Design and Development of Intelligent Solar Tree Based on Fuzzy PD Plus I Based Solar Tracking Algorithm
Abstract: AbstractScarcity of availing energy is certainly minimizing due to the uncontrollable usage of electricity. In order to overcome this situation, power generations are moving on to the non-conventional or renewable side. Particularly, in India, solar energy is considered as greatest resource of generating electricity. It is unrestricted, infinite, non-polluting, ecological and frequent source of energy. The project explains astral control tree that generates vast quantity of liveliness by occupying very …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 4–9 Read article
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Diagnostic Algorithm of Multidetector Computed Tomography (MDCT) for Healthy Lungs to Detect Variations of Morphologic Index
Abstract: Introduction: Diagnostic algorithm of Multidetector Computed Tomography (MDCT) was established to make qualitative diagnosis with four types of shadows-increased Lung Attenuation, Decreased Lung Attenuation, Linear Pattern, Nodular Pattern and the nodular pattern is also used for qualitative assessment by being further classified as round, lobulated, polygonal, tentacular, spiculated, ragged and irregular pattern. Method: To establish the new diagnostic algorithm using MDCT result indicators, we selected morphologic indices to used CAD …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 30–33 Read article
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A Novel Sentence Ranking Clustering Based Algorithm for Text Summarization
Abstract: Text Summarization is the process of generating reduced text from source document by extraction or generation. A novel approach will be presented for extractive text summarization. The proposed technique performs filtering and then ranking on sentences based on NLP text mining techniques. This method uses the synonyms extracted from online thesaurus dictionary to identify similar sentences and then clusters these sentences to summarize. The sentences are ranked based on sentence …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 1–6 Read article
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A Hybrid Algorithm for Duplicate Document Detection
Abstract: Identification of duplicate document in a set of documents is a very big issue in information retrieval. In recent years, there are many researches going on and many methods have been proposed to detect and remove the duplicate documents but their relevance is still an issue. This paper proposed a hybrid algorithm based on word position by integrating n-gram searching technique. This experiment also uses inverted index to reduce the …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 24–34 Read article
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Optimal Thermal Generating Unit Commitment via Evolutionary Algorithms: A Review
Abstract: This paper presents a literature survey of economic load dispatch problem. The economic load dispatch (ELD) is one of the most important optimization problems of electrical power system. The aim of the ELD problem is to determine the power productions of total generating units from a system in order to have minimum fuel cost, and to meet the all constrains. Solving ELD involves conveying a precise model of optimization and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 26–32 Read article
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Mining WebLog Data Using Enhanced Map-Reduce Based SOM Algorithm
Abstract: Web utilization mining is a procedure for finding client route designs in web server to get web log data. These route designs are additionally scrutinized by different information mining strategies. The found route instances can be further used to recognize the successive transactions of the client, foreseeing the future demand of client, and so on which very much essential due to enormous developments in electronic trade sites.Through a colossal measure …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 10–17 Read article
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Review of SHA-1 Encryption Algorithm
Abstract: In the security world, encryption is the popularly known method for protection and safety of data. Digital signature and message authentication are the widely known applications of hashing that require the hash value calculation. Sha-1 is amongst the most trusted algorithms for calculating hash values. Sha-1 takes any size of input and yields fixed size hash value of 160 bits after going through 80 rounds. Belonging to MD4 family sha-1 …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 3, 2016 · pp. 1–4 Read article