Developing a Testing Instrument to Evaluate the Performance Of 3D-Printed Body-Powered Prosthetic Hands

A 3D printed prosthetic hand is an open source technology that became a good substitution for many products in the market. For many reasons, Low-cost, easy made / easy build. As an open source product, 3D printed prosthetic designs are available to anyone around the world, a good option for young children because they need to have a new prosthetic more frequent until they reach the adulthood age. Most families cannot pay a thousand dollars technology. From the research, it found that that there are not enough studies cover the open source wrist body-powered prosthetic. Other studies covered products used by adults which more physical ability than young children. Other studies covered a body-powered prosthetic that needs fewer efforts to run the wrist-powered prosthetic. To develop or design a product it is essential to have the correct, valid information and data to develop the product. A quantitative data provides a realistic assessment for the prosthetic efficiency. The study aims to design the electrical circuit for a group of sensors that will be used to collect the pressure force to compare it with the applied force. The author success to detect signal form four sensors circuit. The author also provides a design for sliding motor plate to maintain the torque from the stepper motor to mechanical part of the robotic wrist

An improved bees algorithm local search mechanism for numerical dataset

Bees Algorithm (BA), a heuristic optimization procedure, represents one of the fundamental search techniques is based on the food foraging activities of bees. This algorithm performs a kind of exploitative neighbourhoods search combined with random explorative search. However, the main issue of BA is that it requires long computational time as well as numerous computational processes to obtain a good solution, especially in more complicated issues. This approach does not guarantee any optimum solutions for the problem mainly because of lack of accuracy. To solve this issue, the local search in the BA is investigated by Simple swap, 2-Opt and 3-Opt were proposed as Massudi methods for Bees Algorithm Feature Selection (BAFS). In this study, the proposed extension methods is 4-Opt as search neighbourhood is presented. This proposal was implemented and comprehensively compares and analyse their performances with respect to accuracy and time. Furthermore, in this study the feature selection algorithm is implemented and tested using most popular dataset from Machine Learning Repository (UCI). The obtained results from experimental work confirmed that the proposed extension of the search neighbourhood including 4-Opt approach has provided better accuracy with suitable time than the Massudi methods

Experimental Study of Variation Local Search Mechanism for Bee Algorithm Feature Selection

The Bees Algorithm (BA) has been applied for finding the best possible subset features of a dataset. However, the main issue of the BA for feature selection is that it requires long computational time. This is due to the nature of BA combination search approach that exploits neighborhoods with random explorative. This situation creates unwanted suboptimum solution(s) leading to the lack of accuracy and longer processing time. A set of different local neighborhood search extension and their combination approaches have been proposed, including Simple-swap, 2-Opt, 3-Opt, and 4-Opt. The performance of the proposed mechanism was compared and analyzed using benchmark dataset. The results from experimental work confirmed that the proposed approach provides better accuracy with suitable time

View, Analyze, Deconstruct: A Survey of Identity in the Works of Shahzia Sikander

This research project will delve into a field of art history not well documented, contemporary Muslims artists. Specifically, this research project will examine the work of Shahzia Sikander, a Muslim artist native to Pakistan, and explore how Sikander portrays the concept of identity in her work. Sikander began her career in the genre of miniature painting at, experimenting with the form, testing its limitations and questioning its relevance. Sikander’s quest to question and experiment with meaning is seen throughout her repertoire, which now includes miniature paintings, video animations, drawings and installations. Sikander morphs layers of techniques and symbols, from varying artistic traditions, to create complex and enigmatic works of art which serve to deconstruct meanings attached to images. Not only does Sikander address identity in her works, but radically re-conceptualizes the concept of identity. For Sikander, identity is not an amalgamation of innate attributes, but rather “identity” is a limitless and continual process in constant flux. Therefore, Sikander’s work serves as an excellent platform for exploring, questioning, and re-examining the concept of identity. This fluid model of identity questions the rigid and supposedly unmovable labels of identity that are imposed on individuals in a world that is keen on defining individuals based on imagined differences. Therefore, Sikander’s fluid model of identity is deeply insightful for evaluating the associations and meanings that are not only attached to images, but also to group of individuals

Random weather phenomena in free-space optical - FTTx communication system

In the last few decades, optical wireless communication became an essential technology in various applications. Researchers have paid more attention to achieving high bandwidth and low loss. However, the random weather phenomena cause attenuation of optical signals, thus will decrease the bandwidth in optical wireless communication. In this article, we investigate a hybrid free-space optical (FSO) and fiber-to-the-x (FTTx) communications link based on wavelength-division multiple access (WDMA) over different random weather phenomena that operate over different wavelengths. The performance of the hybrid FSO-FTTx system is evaluated under clear sky weather phenomena, heavy rain weather phenomena, and heavy haze weather phenomena based on BER and Q-Factor measurements. The results show that we can transmit 140 Gbit/s data over 9650 meters a hybrid link under the clear sky and heavy rain weather phenomena, 3950 meters over. Additionally, the transmission of 140 Gbit/s data can be achieved for 1450 meters under the heavy haze weather phenomenon

A Case Study of Princess Sumaya University for Technology (PSUT) Engineering Students’ Perceptions of Utilizing Simulation Software via Online Learning

The primary goal of this research has been to examine the perceptions related to the use of simulation software in the context of e-learning at Engineering PSUT in Jordan, which is acknowledged as one of the leading private universities in the country. The present study and a descriptive study utilized a 25-item survey given to 270 students. The research findings indicate that, according to the students’ subjective viewpoint, the effectiveness of simulation software in the context of online learning was observed to be significantly high. This observation is supported by an average score of 3.89 and a standard deviation of 0.959, indicating a relatively consistent perception among the participants. The study’s results indicate that there were no significant variations observed in terms of academic year, computer skills, student GPA or gender parameters. The research findings underscore the importance of incorporating simulation software in higher educational institutions to improve the teaching and learning experience

ACE Alzheimer’s: The Role of Vitamin A, C and E (ACE) in Oxidative Stress induced Alzheimer’s Disease

Alzheimer's disease (AD), a chronic neurodegenerative disease which is known to progress gradually and has now become a substantial health concern through-out the world. Clinically, cognitive declination and progressive dementia are the main characteristics of AD while pathologically; Aß plaques and tau-neurofibrils are the hallmarks. The present literature search has suggested that oxidative stress is one of the most vital risk factor which can potentially lead to the development of AD. Oxidative stress is known to produce the Reactive Oxygen Species (ROS) which has a potential to increase in the structural and functional abnormalities in the glial cells of the brain and which could further lead to a cognitive decline and subsequently, dementia. Hence, in order to curb this oxidative stress in the glial cells, antioxidants have been proved to be of great help according to the literature search done in PubMed, Google Scholar and Scopus. We included Meta-Analysis, Systemic Reviews and Original studies. Vitamins A, C, and E are an example of antioxidants that can be used as adjuvants in the treatment of AD. This article focuses on the contemporary literature search and presents forward the evidence-based banes of using Vitamin A, C, and E as an adjuvant therapy for preventing and treating AD

An empirical study of double-bridge search move on subset feature selection search of bees algorithm

The application of Bees Algorithm in wrapper feature selection (BAFS) has been implemented but yet too far from perfect and has few weaknesses. The algorithm performs combination of exploitative neighbourhoods and random explorative search. This creates a heavy computational time, and in the same time could affect the overall accuracy subset selection.To rectify this issue, a double-bridge move proposed and benchmark dataset have been used to determine the performance of the proposed method. The obtained results from the experiment confirmed that the proposed extension of the search neighbourhood have provided better accuracy with suitable time than the original BAFS

Experimental study of variation local search mechanism for bee algorithm feature selection

The Bees Algorithm (BA) has been applied for finding the best possible subset features of a dataset. However, the main issue of the BA for feature selection is that it requires long computational time. This is due to the nature of BA combination search approach that exploits neighborhoods with random explorative. This situation creates unwanted suboptimum solution(s) leading to the lack of accuracy and longer processing time. A set of different local neighborhood search extension and their combination approaches have been proposed, including Simple-swap, 2-Opt, 3-Opt, and 4-Opt. The performance of the proposed mechanism was compared and analyzed using benchmark dataset. The results from experimental work confirmed that the proposed approach provides better accuracy with suitable time

Design & investigation of 10x10 gbit/s MDM over hybrid FSO link under different weather conditions and fiber to the home

In this paper, we design and investigate 10-channels of mode division multiplexer (MDM) over hybrid free-space optics (FSO) link in several weather conditions to achieve the maximum possible medium range and fiber to the home (FTTH) for high bandwidth access networks. System capacity can be effectively increased with the use of MDM over hybrid FSO-FTTH. In this study, a 10-channel MDM over FSO-FTTH system has been analyzed in different weather conditions that operate at 1550 nm wavelength. The simulated system has transmitted 100 Gbit/s up for a distance of 3200 meters FSO in superbly clear weather condition. It also transmitted 100 Gbit/s up for a distance of 650 meters FSO during heavy rain. The validation of this study is measures based on eye diagrams bit-error rates (BER) that have been analyzed