Feature-reduction Fuzzy c-means Clustering for Basketball Players Positioning

One of the best-known clustering methods is the fuzzy c-means clustering algorithm, besides k-means and hierarchical clustering. Since FCM treats all data features as equally important, it may obtain a poor clustering result. To solve the problem, feature selection with feature weighting is needed. Besides feature selection by assigning feature weights, there is also feature selection by assigning feature weights and eliminating the unrelated feature(s). THE Feature-reduction FCM (FRFCM) clustering algorithm can improve the FCM clustering result by weighting the features and discarding the unrelated feature(s) during the clustering process. Basketball is one of the famous sports, both international and national. There are five players in basketball, each with a different position. A player can generally be in guard, forward, or center position. Those three general positions need different characteristics of players’ physical conditions. In this paper, FRFCM is used to select the related physical feature(s) for basketball players, consisting of height, weight, age, and body mass index. to determine the basketball players’ position. The result shows that FRFCM can be applied to determine the basketball players’ position, where the most related physical feature is the player’s height. FRFCM gets one incorrect player’s position, so the error rate is 0.0435. As a comparison, FCM gets five incorrect player’s positions, with an error rate of 0.2174. This method can help the coach decide the basketball new player’s position.

Improvement Physical Features Composite Comprise of Strain Nano-metals (Ag, MN) Assembled on Graphene Suspended Inside PEG Matrix and Its Application

In order to get desirable flexible conductive and stretchable materials used as future conductive Devices It should find a pathway or create a new composite that is thermally stable, non-toxic, environmentally inexpensive, easier carrier, and highly efficient. The composite chip is composed of metals nanoparticles (MN, Ag), assembled on a thin layer of Nano Graphene impregnated inside the polyethylene glycol (PEG) matrix. Various characterization had been conducted to demonstrate the physical feature of the new composite, like UV, CVT, TEM, XRD, and TGA.

Advanced Temperature-Varied ECU Fingerprints for Source Identification and Intrusion Detection in Controller Area Networks

External wireless interfaces and the lack of security design of controller area network (CAN) standards make it vulnerable to CAN-targeting attacks. Unfortunately, various defense solutions have been proposed merely to detect CAN intrusion attacks, while only a few works are devoted to intrusion source identification. Demonstrated by our experimental studies, the most advanced IDS with intrusion source identification, which is based on the physical feature fingerprints of the in-vehicle Electronic Control Units (ECUs), will fail when the temperature changes. In this paper, we innovatively propose temperature-varied fingerprinting, called TVF, for CAN intrusion detection and intrusion source identification. Motivated by the remarkable observation that the physical feature of an ECU, i.e., its clock offset, changes linearly with the temperature of ECUs, the concept of temperature-varied fingerprints is proposed. Then, for a severe intrusion case, we provide an advanced TVF for further supplemented and expanded. The proposed advanced temperature-varied fingerprinting is implemented, and extensive performance evaluation experiments are conducted in both CAN bus prototype and real vehicles. The experimental results illustrate the effectiveness and performance of advanced TVF.

Physique

Choose a dozen members of the general public and ask them which physical feature they associate with a creature called ‘Cyclops’. They will all give the same answer: he has just one eye. But in the ancient sources monocularity is by no means the only aspect of a Cyclops’ appearance to attract attention. Other attributes regularly mentioned are hugeness, hairiness (often associated with ‘wildness’), and ugliness. In this chapter Aguirre and Buxton look at each of these characteristics in turn. In each case they begin by situating the characteristic cross-culturally, then analyse its representation in Graeco-Roman antiquity, and finally investigate its relevance to texts and images relating to the Cyclopes. Given the attention that has been paid, in previous scholarship, to the symbolism of the single eye, the authors devote a good deal of space to that topic—not forgetting that there are many examples of Cyclopes with two or three eyes.

On Negative Heritability and Negative Estimates of Heritability

We consider the problem of interpreting negative maximum likelihood estimates of heritability that sometimes arise from popular statistical models of additive genetic variation. These may result from random noise acting on estimates of genuinely positive heritability, but we argue that they may also arise from misspecification of the standard additive mechanism that is supposed to justify the statistical procedure. Researchers should be open to the possibility that negative heritability estimates could reflect a real physical feature of the biological process from which the data were sampled.