International Journal of Engineering Research and Advanced Technology
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Development of Adaptive Tracking using Advance Filter and Selection Features Method
No full textRecently, Kalman filter (KF)-based algorithms of tracking had demonstrated to be effective However, their efficiency is limited by fixed feature selections and the possibility of model drift. In the presented research, we offer a new adaptive feature selection-based tracking approach that maintains the KF’s excellent discriminating power . Depending on scores of confidence regarding features in every one of frames, the suggested approach might select (automatically) either SIFT feature or the colour feature for the tracking . With a use of KF, a response map related to the SIFT features and color features are retrieved first . The color features that distinguish the luminance from the color are extracted using the Lab color space . Second, the average peak-to-correlation energy is used for the determination of the confidence region and the target's possible location . Finally, a total of 3 criteria have been utilized in order to choose the appropriate feature for present frame in order to execute adaptive tracking . On OTB benchmark datasets, the experimental findings show that the suggested tracker performs better in comparison with other state-of-art technique
Subject Review: Weather Forecasting models that Employing Artificial Intelligence Approaches
No full textWeather forecast updates might mean different things to different individuals, including entrepreneurs, the government, and farmers. It enables them to plan more precisely in the event of a natural disaster. It can help farmers make judgments about planting, for example. Airlines will benefit from the ability to plan their routes ahead of time, as well as the ability to decide whether or not to cancel flights or make an emergency landing in the case of a storm. This research examines a number of weather forecasting models that employ artificial intelligence approaches
Planning of Raw Material for Wooden Pallet using Probabilistic Inventory Model
No full textWooden pallet industry often experienced either shortage or exceed of raw materials which makes the industry suffer for a significant losses due to the company's inability to provide products to fulfill the demand. This deficiency is due to the fact that the company did not have a proper inventory planning of raw material required for the production, as a consequence the company often has to buy the raw material at a higher price in an urgent condition. In order to make a cost efficiency, the activities of purchase and usage of this raw materials need to be planned at the best possible cost so that companies can avoid unnecessary waste of operational costs. With the unpredicted of raw material resources used by the company and quantity of consumer demand, inventory policy planning is needed to determine the most economical quantity required and the time for the company to place the order in these probabilistic conditions
Subject Review: Hand Vascular Pattern Technology
No full textVein recognition systems are a form of biometric recognition that can distinguish people according to their vascular structure. Identification from hand-wrist vein pattern is one of these systems. In this study, hand-wrist vein images taken from people using an infrared light source with a wavelength of 850 nm were segmented by passing through various image processing algorithms. Scale-independent feature transformation (SURF) method was used for key point extraction from segmented images. The features obtained by the SURF method are rotation, camera angle, ambient light intensity, etc. This method has been preferred because it is invariant against situations. In the identification process, the Euclidean distance method was used by making use of the extracted key points. The accuracy rate was determined as 97% as a result of the matching processes using the hand-wrist vein patterns in the database
Smartphone Inertial Sensors Applications in Medical Care Field: A Comprehensive Review
No full textSensors of various types are built into the majority of current smartphones each with a distinct function that aids the device's performance. Micro-Electro-Mechanical System (MEMS) inertial sensors, such as gyroscopes (gyros) and accelerometers, are built into smartphones. These embedded inertial sensors have improved user experience and accelerated smartphone development and it can be used to detect events or collect information about human activities. Additionally, machine learning algorithms applied to smartphone sensor data could have a wide range of uses in entertainment, health care, finance, and other fields. There have been massive financial gains when a smartphone is utilized to provide telemedicine and remote healthcare assistance. This paper provides a brief overview of all the recent work that has been done in the medical care field by utilizing inertial navigation sensors, gyroscopes and accelerometers, whether the inertial sensors were used together or separately. The goal of this review is to outline the most recent trends in four topics. First, we'll go over fall detection systems released by research publications. Second, we'll go over the most recent scholarly papers on human activity monitoring systems that have been published. Third, we’ll review the most recently released research publications on epilepsy detection. Last, we’ll look over the recently released papers on Parkinson’s disease. This work also includes some important applications that use external inertial sensors for comparison purposes
Development of Secured Knowledge Management system using Information Technology Model
No full textInformation Technology (IT) has contributed to the development of many areas, including the development of companies and in accordance with the requirements of the free market, so it has become necessary to contribute to the development of the knowledge management system because of its importance in the use and dissemination of knowledge through the IT model that focuses on all the requirements of the knowledge management system. And the factors affecting its development, this model is characterized by meeting the needs of the system and upgradable, as well as being comprehensive and integrated (with other systems). The model is designed in several programming languages such as (C#, PHP and MySQL) and according to business requirements in addition to its ease of use so that everyone can use it (employees, clients, partners), and that the model has the ability to identify obstacles and errors that cause non-development, In terms of communication, it uses all technical resources (interviews, video conferences, chat rooms, etc.) to contribute to enhancing teamwork and communication, enhancing expertise and processing data and relying on human expertise to promote innovation and knowledge acquisition to achieve the real objective of this study which is to develop a knowledge management system
Development of Hybrid Based Lossless Iris Image Compression Technique
No full textThe biometric iris recognition is the most popular method and is extended successfully in use, but unfortunately, a large number of data bits are exhausted when stored that implicitly affecting the transmission bandwidth and a compression solution is urgently required based on removing redundancy(s).
In this paper a simple hybrid image compression scheme is proposed, it is based on using two techniques of polynomial coding and Fourier transform coding to efficiently encoded lossless. The test results of the suggested method showed that improved of compression performance is achieved with an identically based reconstruction image.
Key Words: Iris image compression, Zipper transform, Image processing, Polynomial coding, and Hybrid coding
Quality Improvement on Optical Fiber Coloring Process using Fault Tree Analysis and Failure Mode and Effect Analysis
No full text
This study aims to identify the types and causes of defect, and also provide recommendations for improvements to reduce and prevent defect in the optical fiber coloring process. The fault Tree Analysis (FTA) Method is used in this study to identify the relationship between the causative factors and the shape of the fault tree. The Failure Mode and Effect Analysis (FMEA) method is used to analyze the causal factors identified by the FTA method. The results of the FTA Method show that the dominant defect type that occurs in the optical fiber coloring process is stripped fiber. The percentage of striped fiber defects is 36% which caused by machine, material, and method factors. The final result of the Failure Mode and Effect Analysis (FMEA) method is the highest Risk Priority Number (RPN) value, namely clogged ink housings (dies) with an RPN value of 294
Subject Review: Encryption of Image in the Android Environment in Various Algorithms
No full textIn the vast and still evolving world of digital transfer, data/image security is one of the most important considerations. One method is to encrypt files. One of the well-known mechanisms for maintaining the privacy of pictures to a trustworthy, unrestricted public, the media as a result, this medium is vulnerable to attacks, Encryption algorithms that are effective are a must for data transfer that is stable a variety of techniques. This paper is a study of research authors in the field of image encryption for the Android Environment for different algorithms, with a research review for the period (2010-2021) to see how the field of image encryption has progressed and the best algorithms in their performance
Affecting Factors that Improve Performance Project with Line of Balance and Critical Path Method at Pier Works in Toll Road Project at Jakarta Indonesia
No full textThe construction of toll roads in Indonesia is an effort by the government to improve the national competitiveness index and the national logistics cost performance index, including through the development of road infrastructure, including toll roads. The Toll road is a road that is devoted to two or more axle vehicles (cars, buses, trucks) and aims to shorten the distance and travel time from one place to another. Toll roads are part of the road network system and national roads for which users are required to pay. The implementation of toll road construction in Jakarta as in other cities has a level of difficulty in carrying out the work due to very high traffic activities, utilities that must be relocated or avoided, of course, have a very high risk as well. These consequences are unfavorable for the project because they will hinder and hinder the achievement of project objectives. Some of the risks in toll road construction work include utilities, land acquisition, window time, and traffic management. The risks mentioned above are some of the causes of delays that occur during the implementation of toll road projects. In determining the factors of delay, this research uses the SPSS (Statistical Product and Service Solutions) method. The method used in determining the ranking of the delay factor is the stepwise method. There were 9 affecting factors, namely job duration analysis, waiting time analysis, repetitive job analysis, decision making, utility, critical path determination, work method approach, innovative way of thinking, and job sequence analysis. The application of the toll road construction work process with scheduling innovation based on the integration of the Line of Balance and the Critical Path Method can optimize project performance in terms of time. The research is expected to produce innovative studies as an alternative to the best recommendations in terms of project time performance for service providers and service providers. By knowing the key factors in the completion of toll road works, this research is expected to be a benchmark or pilot for toll road construction projects, as well as in the application of pier work on toll road projects