Chronic back pain can present a serious health concern, with symptoms that can significantly affect an individual's well-being, mobility, and overall quality of life over an extended period. While chronic back pai...
Chronic back pain can present a serious health concern, with symptoms that can significantly affect an individual's well-being, mobility, and overall quality of life over an extended period. While chronic back pain may manifest suddenly in some cases, it often develops gradually and persists for weeks, and in untreated cases, it can linger for years. Hence, the utilization of assistive devices such as wearable posture-monitoring vests can offer valuable assistance and guidance to users. This research paper is dedicated to the development of a system for detecting, diagnosing, and correcting poor posture, specifically leaning posture. The vest is designed to provide users with visual, auditory, and tactile cues to help them address this issue, thereby reducing the risk associated with leaning. Additionally, an integrated electrical box has been designed to consolidate all components directly onto the main board in a secure enclosure. This box also displays the daily count of instances where the user has leaned. This system is characterized by its electrical safety, portability, compactness, comfort, and affordability. A comprehensive analysis of the system's performance has been conducted with a meticulous evaluation of accuracy. Each component of the system has undergone successful testing, and the system as a whole is currently in the testing phase. The results of these tests have indicated a lack of faulty errors and have demonstrated outstanding accuracy and detection rates. Over 100 individuals of varying ages, genders, and BMI categories were involved in testing, with each person wearing the device for an average of six hours. The accuracy rate achieved was 98.85%, with an average of 54.35 instances of poor posture detected per participant.
Due to the rapid development in digital technology, image enhancement has become a necessity to extract data and use it in many fields that may be medical, agricultural security, and many other fields. There are many ...
Due to the rapid development in digital technology, image enhancement has become a necessity to extract data and use it in many fields that may be medical, agricultural security, and many other fields. There are many Image enhancement technique used in image processing. The proposed method have been presented in this paper attempt to improve the performance of histogram equalization with different kind of medical image by using Gaussian filter and gamma where combined together to improve the illumination, contrast of images ,reduce the noise, and also improve image quality coefficients. Try to measure the entropy of image and compare the result of output image with input image and to give desired result. The quality coefficients for the medical images processed with the HE and Gaussian filter and Gamma with certain value, according to the scientific proof. When the image quality was improved, the visual perception was improved.
Due to network advancements and network user growth, network security challenges and approaches have grown in the recent years. The current trend of network security focuses on those networks which are operating over ...
Due to network advancements and network user growth, network security challenges and approaches have grown in the recent years. The current trend of network security focuses on those networks which are operating over the internet (web-based). Since unpredictable users can be presented over the internet networks from various places, malicious activities are highly expected. Several technologies were produced for ensuring the required security and privacy enforcement. Virtual private network is proposed for ensuring the required security over particular connections over wide networks. In this work proposed use the "show dmvpn" to make sure the connectivity of dmvpn works fine (10.20.20.2, 10.30.30.2 is referred as NBMA (non-broadcast multiple access network) these Internet Protocol (ip's) assigned in spokes routers in their physical interfaces and connecting directly in ISP routers and routed with default route.
The collection and identification of lichen samples within the reserved forest pose significant challenges, leading researchers to seek alternative methodologies. In this context, an in-depth study was conducted using...
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In this work, the issue of moving object detection, classification, and tracking in both visual-infrared images and video streams is considered. The proposed system utilizing deep learning-based You Look Only Once -ve...
In this work, the issue of moving object detection, classification, and tracking in both visual-infrared images and video streams is considered. The proposed system utilizing deep learning-based You Look Only Once -version3 (YOLOv3) algorithm as multilayers of CNN model, OpenCV, and CAMEL dataset and collected dataset as video sequence of a visual-infrared dataset. The proposed object detector system pre-trained on the dataset for streaming videos and different sizes and types of images as visual_ thermal as RGB images of different object classes and carried out by Python codes. The first part of the proposed system is to make the object or person detection and surround it by rectangle box, the center of the detected person is then specified in the second part, finally, calculate the relative accuracy of detected person and added it to the rectangle box. The obtained results proved the success of the proposed system in achieving objects detection, classification, and tracking within visual-infrared surveillance scenarios and gave satisfactory results with high accuracy.
Non-Communicable Diseases (NCD) has been drastically increased across the world in the recent years. Diseases that are not transmissible from one person to another are known as Non-Communicable Diseases (NCDs). Parkin...
Non-Communicable Diseases (NCD) has been drastically increased across the world in the recent years. Diseases that are not transmissible from one person to another are known as Non-Communicable Diseases (NCDs). Parkinson's disease, Autoimmune Disorders, Strokes, Heart Diseases, Cancers, Diabetes are examples of NCDs. It is found that certain Non-Communicable Diseases are believed to be exacerbated by lifestyle and climate which cause of death in the world. Many Machine Learning methods such as Nave Bayes, Support Vector Machine have been applied to predict NCDs. The aim of this paper is to predict the Non-Communicable Diseases (NCDs) and evaluate the performance of the key classifiers in terms of Prediction accuracy, Kappa and F-Measure. The progress in computer training and AI can remarkably help the analysis of Non-Communicable Diseases (NCDs). Nevertheless, the intrinsic complication of black-box samples controls the understanding of the sample. Consequently, likely regulative concerns arise. Furthermore, the lack of faith inside the therapeutic society is obvious due to the absence of understanding of how and why a sample prophesies. This research illustrates how sample-cynical ways of explainable AI (XAI) can assist give descriptions to assume black-box samples on NCDs information collection better.
Smartphone malware's rapid development suggests malicious programme developers moving from standard PC systems to smart phone computers. Technology experts are now also developing new methods of anti-malware for a...
Smartphone malware's rapid development suggests malicious programme developers moving from standard PC systems to smart phone computers. Technology experts are now also developing new methods of anti-malware for adequate security. For the identification of smart phone dangerous applications, this study proposes a Blockchain-based malware mitigation framework (B2MDF) (app stores). For the ultimate judgement, the system combines two internal and external proprietary block chains to establish a private dual blockchain and a blockchain alliance. Blocks produced from both static and dynamically driven function removers are stored in the private internal blockchain stores, whilst blocks for current models are detected in the external blockchain stores. B2MDF also exchanges function blocks with third parties, which allows providers of anti-malware to offer more exact *** rating permissions, we employed the idea of information value. Furthermore, because blockchain has great dependability and cheap cost, we developed a consensus-based blockchain framework for generating more concrete predictions. The top 45 permissions, rated by Information Value, are used to obtain this accuracy.
The National Energy Master Plan sets the target that by 2050 the development of renewable energy for Wind Energy Power Plants reaches 60.647 GW throughout Indonesia, while for Aceh Province, it is predicted that wind ...
The National Energy Master Plan sets the target that by 2050 the development of renewable energy for Wind Energy Power Plants reaches 60.647 GW throughout Indonesia, while for Aceh Province, it is predicted that wind energy will be able to generate 894 MW. To map this energy potential, further research is still needed to get the best position for the development of Wind Power Plants. This study aims to map the potential of wind energy in the coastal areas of Southwestern Aceh using the Maximum Likelihood method of the Weibull distribution to analyze wind speed from the data provided by the European Center for Medium-Range Weather Forecast (ECMWF). The area of study covers several districts including Aceh Jaya, Aceh Barat, Nagan Raya, Aceh Barat Daya, Aceh Selatan, Aceh Singkil and Simeulue. The average wind on Weibull distribution for Simeulue is 2.48 m/s with a frequency of 26%, Aceh Singkil 1.54 m/s with a frequency of 40%, Aceh Selatan 1.55 m/s with a frequency of 48%, Aceh Barat Daya 1.55 m/s with a frequency of 50%, Nagan Raya 2 m/s with a frequency of 36%, Aceh Barat 1.54 m/s with a frequency of 38% and Aceh Jaya 2.49 m/s with a frequency of 31%. Meanwhile, the wind power capability ranges from 4,590 watts/m2 – 26,040 watts/m2, making the whole site a low-class wind suitability as a wind power generator.
The issue of providing a communications system, with large frequencies within the range, is one of the main challenges that are required to be provided to users of the free-space optical communications service. In thi...
The issue of providing a communications system, with large frequencies within the range, is one of the main challenges that are required to be provided to users of the free-space optical communications service. In this work, the factors affecting the quality of performance of a free communication system (10 Gbps) were investigated and studied. The obtained results of this system are compared with two wavelengths 1550 nm and 850 nm in terms of farthest data transmission distance, BER, factor of quality and chart of eye in different weather situations using an iterative optimization.
This study aims to design an autonomous hexacopter drone that can be used to deliver documents in IPB University, to replace conventional oil-fueled transportation. The hexacopter drone is designed with autopilot cont...
This study aims to design an autonomous hexacopter drone that can be used to deliver documents in IPB University, to replace conventional oil-fueled transportation. The hexacopter drone is designed with autopilot control using a point-to-point flight system based on GPS coordinates. Preliminary research was conducted to examine the delivery of documents between the Faculty of Mathematics and Natural Sciences (FMIPA) and the Faculty of Agricultural Technology (FATETA). The experimental results showed that the maximum payload of the designed drone is 1 kg. The drone flight tests showed that the drone can reach its destination with good performance. The average error for the unloaded flight test from FMIPA to FATETA is 1.02 m, while from FATETA to FMIPA is 0.53 m. Meanwhile, the average error for flight tests with a maximum payload (1 kg) from FMIPA to FATETA is 1.97 m, while from FATETA to FMIPA is 0.703 m.
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