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"Shapeshifting"
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Werewolves and other shape-shifters
Learn about different types of legendary creatures that change shape.
Book
Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring
The functionality of the Internet is continually changing from the Internet of Computers (IoC) to the “Internet of Things (IoT)”. Most connected systems, called Cyber-Physical Systems (CPS), are formed from the integration of numerous features such as humans and the physical environment, smart objects, and embedded devices and infrastructure. There are a few critical problems, such as security risks and ethical issues that could affect the IoT and CPS. When every piece of data and device is connected and obtainable on the network, hackers can obtain it and utilise it for different scams. In medical healthcare IoT-CPS, everyday medical and physical data of a patient may be gathered through wearable sensors. This paper proposes an AI-enabled IoT-CPS which doctors can utilise to discover diseases in patients based on AI. AI was created to find a few disorders such as Diabetes, Heart disease and Gait disturbances. Each disease has various symptoms among patients or elderly. Dataset is retrieved from the Kaggle repository to execute AI-enabled IoT-CPS technology. For the classification, AI-enabled IoT-CPS Algorithm is used to discover diseases. The experimental results demonstrate that compared with existing algorithms, the proposed AI-enabled IoT-CPS algorithm detects patient diseases and fall events in elderly more efficiently in terms of Accuracy, Precision, Recall and F-measure.
Journal Article
Firelight
Jacinda is a descendant of dragons who can change into human form, but her family are forced to flee to the human world where she starts to lose her powers.
Optimization Complete Area Coverage by Reconfigurable hTrihex Tiling Robot
Completed area coverage planning (CACP) plays an essential role in various fields of robotics, such as area exploration, search, rescue, security, cleaning, and maintenance. Tiling robots with the ability to change their shape is a feasible solution to enhance the ability to cover predefined map areas with flexible sizes and to access the narrow space constraints. By dividing the map into sub-areas with the same size as the changeable robot shapes, the robot can plan the optimal movement to predetermined locations, transform its morphologies to cover the specific area, and ensure that the map is completely covered. The optimal navigation planning problem, including the least changing shape, shortest travel distance, and the lowest travel time while ensuring complete coverage of the map area, are solved in this paper. To this end, we propose the CACP framework for a tiling robot called hTrihex with three honeycomb shape modules. The robot can shift its shape into three different morphologies ensuring coverage of the map with a predetermined size. However, the ability to change shape also raises the complexity issues of the moving mechanisms. Therefore, the process of optimizing trajectories of the complete coverage is modeled according to the Traveling Salesman Problem (TSP) problem and solved by evolutionary approaches Genetic Algorithm (GA) and Ant Colony Optimization (ACO). Hence, the costweight to clear a pair of waypoints in the TSP is defined as the required energy shift the robot between the two locations. This energy corresponds to the three operating processes of the hTrihex robot: transformation, translation, and orientation correction. The CACP framework is verified both in the simulation environment and in the real environment. From the experimental results, proposed CACP capable of generating the Pareto-optimal outcome that navigates the robot from the goal to destination in various workspaces, and the algorithm could be adopted to other tiling robot platforms with multiple configurations.
Journal Article
E xhuming the N ahualli : Shapeshifting, Idolatry, and Orthodoxy in Colonial Mexico
This article examines the relationship between ritual specialists, nanahualtin or nahualistas (pl.) and nahualli or nahual (sing.), and healing practices, adding context to the social roles they fulfilled and the range of feats they performed. The cases examined here reveal that nanahualtin operated as intellectuals in their communities because of their ability to control animals, prognosticate, and heal or harm individuals at will. Some nanahualtin shapeshifted from humans to animals while others possessed animal companions. The elevated status of nanahualtin led commoners to seek their advice, which conflicted with the established orthodoxy of the Catholic Church. Because clergymen championed the sacraments as the best way to access the divine, non-orthodox rituals performed in mountains, rivers, and caves were derided as idolatrous devil worship. The 11 criminal and Mexican Inquisition cases examined here range from 1599 to 1801. Two seventeenth-century cases (1678 and 1685) and one eighteenth-century case (1701) contain Nahuatl phrases and testimonies from Chiapas and Tlaxcala, respectively. The cases from Chiapas demonstrate the use of Nahuatl as a vehicular language outside the central valley of Mexico. This article examines the gender of the animals into which ritual specialists transformed as an emergent category from trial records, which provides insight into Catholic officials’ understanding of the nahualli. Last, this study notes social divisions between rural and urban clergy regarding the power of nanahualtin and the efficacy of their magic.
Journal Article
The wanderers
When a mistake during a circus performance reveals their true abilities, Flo and other shape-shifting orphans are forced to flee to escape the hunters who capture and kill their kind.
Book
Security of Things Intrusion Detection System for Smart Healthcare
Web security plays a very crucial role in the Security of Things (SoT) paradigm for smart healthcare and will continue to be impactful in medical infrastructures in the near future. This paper addressed a key component of security-intrusion detection systems due to the number of web security attacks, which have increased dramatically in recent years in healthcare, as well as the privacy issues. Various intrusion-detection systems have been proposed in different works to detect cyber threats in smart healthcare and to identify network-based attacks and privacy violations. This study was carried out as a result of the limitations of the intrusion detection systems in responding to attacks and challenges and in implementing privacy control and attacks in the smart healthcare industry. The research proposed a machine learning support system that combined a Random Forest (RF) and a genetic algorithm: a feature optimization method that built new intrusion detection systems with a high detection rate and a more accurate false alarm rate. To optimize the functionality of our approach, a weighted genetic algorithm and RF were combined to generate the best subset of functionality that achieved a high detection rate and a low false alarm rate. This study used the NSL-KDD dataset to simultaneously classify RF, Naive Bayes (NB) and logistic regression classifiers for machine learning. The results confirmed the importance of optimizing functionality, which gave better results in terms of the false alarm rate, precision, detection rate, recall and F1 metrics. The combination of our genetic algorithm and RF models achieved a detection rate of 98.81% and a false alarm rate of 0.8%. This research raised awareness of privacy and authentication in the smart healthcare domain, wireless communications and privacy control and developed the necessary intelligent and efficient web system. Furthermore, the proposed algorithm was applied to examine the F1-score and precisionperformance as compared to the NSL-KDD and CSE-CIC-IDS2018 datasets using different scaling factors. The results showed that the proposed GA was greatly optimized, for which the average precision was optimized by 5.65% and the average F1-score by 8.2%.
Journal Article
Red wolf
\"Red wolf Shifter Dimitri has fought his whole life for respect. It is claimed that red wolves are tainted with coyote blood and therefore not pure. He may not be skilled at verbally defending himself, but because he's a bodyguard, tracker, and champion of the fight clubs, his fists are always ready for some rough and tumble. However, he'd prefer a roll in the hay with the woman who is his oldest friend. A spirited leopard Shifter and a fellow tracker, Jaycee Bordeaux has no problem forging a mate bond with Dimitri, but soon the two are called to infiltrate a rogue group bent on enslaving Shifters\"--Back cover.
Book
Using augmented reality technology for balance training in the older adults: a feasibility pilot study
Background
Impaired balance leading to falls is common in the older adults, and there is strong evidence that balance training reduces falls and increases independence. Reduced resources in health care will result in fewer people getting help with rehabilitation training. In this regard, the new technology augmented reality (AR) could be helpful. With AR, the older adults can receive help with instructions and get feedback on their progression in balance training. The purpose of this pilot study was to examine the feasibility of using AR-based visual-interactive tools in balance training of the older adults.
Methods
Seven older adults (66–88 years old) with impaired balance trained under supervision of a physiotherapist twice a week for six weeks using AR-based visual-interactive guidance, which was facilitated through a Microsoft HoloLens holographic display. Afterwards, participants and physiotherapists were interviewed about the new technology and their experience of the training. Also, fear of falling and balance ability were measured before and after training.
Results
Five participants experienced the new technology as positive in terms of increased motivation and feedback. Experiences were mixed regarding the physical and technical aspects of the HoloLens and the design of the HoloLens application. Participants also described issues that needed to be further improved, for example, the training program was difficult and monotonous. Further, the HoloLens hardware was felt to be heavy, the application’s menu was difficult to control with different hand manoeuvres, and the calibration took a long time. Suggestions for improvements were described. Results of the balance tests and self-assessment instruments indicated no improvements in balance performance after AR training.
Conclusions
The study showed that training with the new technology is, to some extent, feasible for the older adults, but needs further development. Also, the technology seemed to stimulate increased motivation, which is a prerequisite for adherence to training. However, the new technology and training requires further development and testing in a larger context.
Journal Article