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This paper aims to provide a framework of the supervised hyperspectral classification, to study the traditional flowchart of hyperspectral image (HIS) analysis and processing. HSI technology has been proposed for many years, and the applications of this technology were promoted by technical advancements.

First, the properties and current situation of hyperspectral technology are summarized. Then, this paper introduces a series of common classification approaches. In addition, a comparison of different classification approaches on real hyperspectral data is conducted. Finally, this survey presents a discussion on the classification results and points out the classification development tendency.

The core of this survey is to review of the state of the art of the classification for hyperspectral images, to study the performance and efficiency of certain implementation measures and to point out the challenges still exist.

The study categorized the supervised classification for hyperspectral images, demonstrated the comparisons among these methods and pointed out the challenges that still exist.

This study aims to the preparation and tribological characteristics of graphene/triangular copper nanoplate composites (abbreviated as GN/Cu nanoplates) as grease additive and clarifies the growth mechanism and tribological mechanism of GN/Cu nanoplates by different analysis methods. In this paper, it is expected to alleviate the problems of easy aggregation and poor dispersion stability of graphene in lubricants and provide theoretical support for the application of graphene and its composites in the tribology field.

In this study, the GN/Cu nanoplates have been successfully prepared by the electrostatic self-assembly method. The structural characteristics of GN/Cu nanoplates were analyzed via transmission electron microscopy and X-ray diffraction. Then the tribological properties of GN/Cu nanoplates were investigated under different loads with SRV-IV [Schwingung, Reibung, Verschleiß (German); oscillating, friction, wear (English translation)] tribotester. White-light interferometry was applied to quantify the wear loss of the disk. The element chemical state on worn surfaces was analyzed by an X-ray photoelectron spectroscope to clarify the tribological mechanism of graphene composites.

The electrostatic force between the negative charge of graphene and the positive charge of triangular copper nanoplates promotes the self-assembly of GN/Cu nanoplates. With the addition of GN/Cu nanoplates, the wear loss and average friction coefficient under the load of 200 N have been decreased by 72.6% and 18.3%, respectively. It is concluded that the combined action of graphene deposition film and the copper melting film formed on the worn surface could effectively improve the antiwear ability and friction reduction performance of the grease.

This manuscript fulfills a new approach for the preparation of GN/Cu nanoplates. At the same time, its tribological properties and mechanism as a lubricating additive were studied which provide theoretical support for the application of graphene and its composites in the tribology field.

In complex environments, a spherical robot has great application value. When the pendulum spherical robot is stopped or disturbed, there will be a periodic oscillation. This situation will seriously affect the stability of the spherical robot. Therefore, this paper aims to propose a control method based on backstepping and disturbance observers for oscillation suppression.

This paper analyzes the mechanism of oscillation. The oscillation model of the spherical robot is constructed and the relationship between the oscillation and the internal structure of the sphere is analyzed. Based on the oscillation model, the authors design the oscillation suppression control of the spherical robot using the backstepping method. At the same time, a disturbance observer is added to suppress the disturbance.

It is found that the control system based on backstepping and disturbance observer is simple and efficient for nonlinear models. Compared with the PID controller commonly used in engineering, this control method has a better control effect.

The proposed method can provide a reliable and effective stability scheme for spherical robots. The problem of instability in real motion is solved.

In this paper, the oscillation model of a spherical robot is innovatively constructed. Second, a new backstepping control method combined with a disturbance observer for the spherical robot is proposed to suppress the oscillation.

The purpose of this paper is to study the slime mould Physarum polycephalum

The paper proceeds by representing major urban areas of China by oat flakes, inoculating the slime mould in Beijing, waiting till the slime mould colonises all urban areas, or colonises some and cease further propagation, and analysing the protoplasmic networks formed and comparing with man-made motorway network and planar proximity graphs. Findings

Laboratory experiments found that P. polycephalum

The paper demonstrated the strong component of transport system built by slime mould of P. polycephalum

Biometric systems are widely used for face recognition. They have rapidly developed in recent years. Compared with other approaches, such as fingerprint recognition, handwriting verification and retinal and iris scanning, face recognition is more straightforward, user friendly and extensively used. The aforementioned approaches, including face recognition, are vulnerable to malicious attacks by impostors; in such cases, face liveness detection comes in handy to ensure both accuracy and robustness. Liveness is an important feature that reflects physiological signs and differentiates artificial from real biometric traits. This paper aims to provide a simple path for the future development of more robust and accurate liveness detection approaches.

This paper discusses about introduction to the face biometric system, liveness detection in face recognition system and comparisons between the different discussed works of existing measures.

This paper presents an overview, comparison and discussion of proposed face liveness detection methods to provide a reference for the future development of more robust and accurate liveness detection approaches.

In the past, with the development of the internet of things (IoT), this paper aims to consider fog computing (FC) as an efficient accompaniment to the cloud to control the IoT’s information and relation requirements. Wholly, FC is placed carefully around the IoT systems/sensors and develops cloud-based computing, memory and networking devices. Fog shares many similarities with the cloud, but the only difference between them is its location, in which fog devices are very close to end-users to process and respond to the client in less time. On the other hand, this system is useful for real-time flowing programs, sensor systems, and IoT that need high speed and reliable internet connectivity. However, there are many applications such as remote healthcare and medical cyber-physical systems, where low latency is needed. To reduce the latency of FC, the task scheduler plays a vital role. The task scheduling means to devote the task to fog resources in an efficient way. Yet, according to the findings, in spite of the preference of task scheduling techniques in the FC, there is not any review and research in this case. So, this paper offers systematic literature research about the available task scheduling techniques. In addition, the advantages and disadvantages associated with different task scheduling processes are considered, and the main challenges of them are addressed to design a more efficient task scheduler in the future. Additionally, according to the seen facts, future instructions are provided for these studies.

The paper complies with the methodological requirements of systematic literature reviews (SLR). The present paper investigates the newest systems and studies their practical techniques in detail. The applications of task scheduling mechanisms in FC have been categorized into two major groups, including heuristic and meta-heuristic.

Particularly, the replies to the project problem analyzed task scheduling are principal aim, present problems, project terminologies, methods and approaches in the fog settings. The authors tried to design his systematic discussion as precisely as possible. However, it might have still endured various confidence risks.

This study aimed to be comprehensive but there were some limitations. First, the usage of affair scheduling in fog settings are contained in many places such as editorial notes, academic publications, technical writings, Web pages and so on. The published papers in national magazines were omitted. Also, the papers with the purpose of a special task scheduling issue, which probably consider other subjects rather than affair planning issue are omitted. So, in the competence of this study, this systematic analysis must be considered as the studies published in the central international FC journals. Second, the given issues might not have considered the general task scheduling area, which points to the possibility of describing more related questions that could be described. Third, research and publication bias: five confident electronic databases were chosen based on past study experiments. Finally, the numbers show that these five electronic databases must suggest the most related and reliable projects. Yet, selecting all main performing projects has not been confirmed. Probably some effective projects were omitted throughout the processes in Section 3. Different from the conclusion, changing from the search string to the information extraction exists, and the authors tried to exclude this by satisfying the source in central projects.

The results of this survey will be valuable for academicians, and it can provide visions into future research areas in this domain. Moreover, the disadvantages and advantages of the above systems have been studied, and their key issues have been emphasized to develop a more effective task scheduling mechanisms in the FC mechanisms.

It is useful to show the authors the state-of-the-art in the fog task scheduling area. The consequences of this project make researchers provide a more effective task planning approach in fog settings.

Since the sixteenth century, Panama has been an important logistic node for communication between South America, North America, and Europe for trade and load transit. Panama ports move more than 700 million tons per year while Panama Canal moves 325,428,407 tons, according the statistics of 2014. Most of the maritime cargo moved through Panama is transit and transshipment cargo. Consequently, and due to the geographical position and future opportunities based on the expansion of the Panama Canal, Panama could be a strategic hub of global trade flows. This is an opportunity to develop value-added logistics services (VALS) in Panama Canal. Thus, this research aims to present a preliminary analysis of VALS industry in Panama, identifying critical variables that could enhance these services. This is a survey-based research, using interviews with the main suppliers of VALS in Panama and some of their customers. The methodology applied to analyze the data is means-end value hierarchy model (MEVHM), which was used to understand VALS industry in Panama and identify what is valuable to customers. Results showed that each VALS provider serves a mean of 20 companies, 22% of them are national clients while 78% are international clients, which recognized the geographical position as their main reason to work with logistics experts from Panama. Furthermore, 92% of them were very satisfied or satisfied with the service received. Main VALS in Panama are labeling, tagging, and packaging. In contrast, areas to be improved are customs procedures, national logistics processes, product’s traceability, competitive prices, and human resources training.

This paper aims to present thermal and mechanical stresses in solid and hollow thick-walled cylinders and spheres made of functionally graded materials (FGMs) under the effect of heat generation.

Constant internal temperature and convective external conditions in hollow bodies along with internal heat generation with a combination of outer convective conditions in solid bodies are investigated individually. The effect of the heat convection coefficient on solid bodies is additionally discussed. The variation of the FGM properties in the radial direction is adapted to the Mori–Tanaka homogenization schemes, which produces irregular and two-point linear boundary value problems that are numerically solved by the pseudospectral Chebyshev method.

It has been shown that the selection of the mixtures of FGMs has to be made correctly to keep the thermal and mechanical loads acting on objects at low levels.

In this study, both solid and hollow functionally graded cylinders and spheres for different boundary conditions that are as their engineering applications are examined with the proposed method. The results have demonstrated that the pseudospectral Chebyshev method has high accuracy, low calculation costs and ease of application and can be easily adapted to such engineering problems.

Meta-heuristic algorithms are efficient in achieving the optimal solution for engineering problems. Hybridization of different algorithms may enhance the quality of the solutions and improve the efficiency of the algorithms. The purpose of this paper is to propose a novel, robust hybrid meta-heuristic optimization approach by adding differential evolution (DE) mutation operator to the accelerated particle swarm optimization (APSO) algorithm to solve numerical optimization problems.

The improvement includes the addition of DE mutation operator to the APSO updating equations so as to speed up convergence.

A new optimization method is proposed by introducing DE-type mutation into APSO, and the hybrid algorithm is called differential evolution accelerated particle swarm optimization (DPSO). The difference between DPSO and APSO is that the mutation operator is employed to fine-tune the newly generated solution for each particle, rather than random walks used in APSO.

A novel hybrid method is proposed and used to optimize 51 functions. It is compared with other methods to show its effectiveness. The effect of the DPSO parameters on convergence and performance is also studied and analyzed by detailed parameter sensitivity studies.

The purpose of this paper is threefold. First, the paper demonstrates how inter-ocular testing (looking at the data) of Schwartz values from world values study (WVS) provides a surprisingly different picture to what the authors would expect from traditional mean comparison testing (t-tests, analysis of variance (ANOVA)). Second, the authors suggest that the ReVaMB model can be applied to an East Asian philosophical perspective. Relativity, the authors argue, is a factor when East Asian wisdom, philosophies and ideologies (Confucianism, Taoism, Buddhism and Legalism) “drive” outcomes such as work ethic. Third, the paper serves as an editorial to a special issue in CCSM on East Asian wisdom and its impact on business culture and performance in a cross-cultural context. Common themes are Yin Yang, how different cultures deal with paradox, and Zhong Yong, with accompanying concerns of how to conceptualise and deal with balance of opposites.

The authors adopted ten variables of the Schwartz values scales used in the WVS and subjected them to principle components analysis to reduce the number of variables. The authors found a two-factor solution: one relating to personal material success and adventure and excitement; another relating to success and personal recognition. The authors labelled these factors as Altruism and Hedonism. The analysis is based on an overall sample of 84,692 respondents in 60 countries. In addition to traditional statistical testing, the authors conduct inter-ocular testing. The authors also suggest that the ReVaMB model can be applied to East Asian wisdom.

Three recommendations help to arrive at more accurate conclusions when comparing groups: the authors recommend to aspire to “consistent look and statistic”. If the data distribution does not agree with the statistics, then the researcher should take a closer look. To avoid misinterpreting statistics and other analysis, the authors recommend inter-ocular testing, i.e. eyeballing data in a scientific fashion. The authors provide specific examples how to do that. The authors recommend to test for common-language effect size (CLE), and also recommend a new rule of thumb, i.e. a split of 60/40 as minimum difference to make any generalisation; 70/30 is worth considering. The rule of thumb contributes to better differentiation between real and “not real” differences.

The authors introduce two concepts: the “inter-ocular test”, which simply means to “look at your data”, and the Chinese word, 错觉 (Cuòjué) which roughly translates to “illusion”, “wrong impression”, or “misconception”. This study argues against accepting simplistic averages for data analysis. The authors provide evidence that an inter-ocular test provides a more comprehensive picture of data when comparing groups rather than simply relying on traditional statistical mean comparison testing. The “word of caution” is to avoid premature conclusions on group comparisons with statistical testing alone. The authors also propose an extension of the original ReVaMB model from a confucian orientation to a broad East Asian philosophical perspective. Culture does determine attitudes and behaviour which in turn contribute to the shaping of cultures, depending on situation, context, location and time. The “context” for a situation to occur should be tested as moderators, for example, between East Asian wisdom (Confucianism, Taoism, Buddhism and Legalism) and behavioural or attitudinal dimensions such as work ethic.