In association with the development of intermittent renewable energy generation, dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty. To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage is formulated and solved based on a robust multiobjective optimization method. In the proposed model, dynamic multistage ES and generator dispatch patterns are optimized to reduce the cost and emissions. Specifically, strong constraints of the charging/discharging behaviors of the ES in the space-time domain (...) are considered to prolong its lifetime. Additionally, an adaptive robust model based on minimax multiobjective optimization is formulated to find optimal dispatch solutions adapted to uncertain REG changes. Moreover, an effective optimization algorithm, namely, the hybrid multiobjective Particle Swarm Optimization and Teaching Learning Based Optimization, is employed to seek an optimal Pareto front of the proposed dispatch model. This approach has been tested on power system integrated with wind power and ES. Numerical results reveal that the robust multiobjective dispatch model successfully meets the demands of obtaining solutions when wind power uncertainty is considered. Meanwhile, the comparison results demonstrate the competitive performance of the PSO-TLBO method in solving the proposed dispatch problems. (shrink)

Despite the fact that the number of neurons in the human brain has been identified in cognitive and neural sciences, the magnitude of human memory capacity is still unknown. This paper reports the discovery of the memory capacity of the human brain, which is on the order of 10 8432 bits. A cognitive model of the brain is created, which shows that human memory and knowledge are represented by relations, i.e., connections of synapses between neurons, rather than by the neurons (...) themselves as the traditional container metaphor described. The determination of the magnitude of human memory capacity is not only theoretically significant in cognitive science, but also practically useful to unveil the human potential, as well as the gap between the natural and machine intelligence. (shrink)

This paper aims to contribute to a greater understanding of the theory of virtue ethics and its applications in the business arena. In contrast to other prominent approaches to ethics, virtue ethics provides a useful perspective in making sense of various business ethics issues with an emphasis on the moral character of the individuals and its transformational influences in driving ethical business conduct. Building on Geoff Moore’s :19–32, 2002; Bus Ethics Q 15:237–255, 2005; Bus Ethics Q 18:483–511, 2008) treatment of (...) Alasdair MacIntyre’s practice–institution schema, the paper discusses how individuals, as moral agents, can serve to promote virtuous business conduct and help foster a moral and ethical climate in the organization and in society at large. Using interview data from a broader study of the New Zealand wine industry as explanatory examples, the paper argues that while many companies’ sustainable practices are still largely market based, such excellent business practices are often driven by individuals’ moral and ethical pursuits. (shrink)

Despite the recognition of the importance of philosophy-based management in recent Japanese management practices, there has been little effort to systematically examine this topic from a normative view. With a sample of 152 electrical machinery companies, this study attempts to identify the underlying value orientations incorporated in the normative statement of corporate management philosophy and furthermore examines the complex relationships between corporate value orientations and various performance indexes. The article shows that although the adoption of a corporate management philosophy does (...) not contribute to corporate financial performance directly, some value orientations might contribute to non-financial performance and long-term performance potentials. Especially, CSR environmental performance might be contributed by customer orientation and harmony; human resource management performance is associated with partner orientation and harmony; growth potential might be related with global orientation, entrepreneurship, and honesty. Furthermore, the negative relationship between increase of sales effort and CSR environmental performance also implies that it deserves careful consideration and attention for a company to balance the interests of various stakeholders. (shrink)

Robert van Rooij proposed an analysis of counterfactual donkey sentences by combining the Stalnaker–Lewis analysis of counterfactuals with standard dynamic semantics. This paper points out some problems with van Rooij's treatment of counterfactual sentences in the language of first-order logic and provides a new interpretation using dynamic semantics.

Business Ethics: A European Review, EarlyView.

In this paper, we focus on the human upper limb rehabilitation scheme that utilizes the concept ofteleoperation. Teleoperation can help the therapist demonstrate different rehab exercises to a different group of people at the same time remotely. Different groups of people from a different place connected to the same network can get therapy from the same therapist at the same time using the telerehabilitation scheme. Here, we presented a humanoid robot NAO that can be operated remotely by a therapist to (...) demonstrate the exercise to a patient. To mimic the movement demonstrated by the therapist, Kinect V2 sensor which is a markerless vision-based motion-tracking device, was used. Modified Denavit-Hartenberg convention was used for the kinematic modeling of the human upper arm. From the Kinect data, a geometric solution was developed to find a unique inverse kinematic solution of human upper-extremity. Experimental results revealed that NAO could be teleoperated successfully to instruct and demonstrate patients to perform different arm movement exercises in real-time. (shrink)

The South China Sea is one of the largest marginal seas in the Western Pacific region, and it has been widely accepted that the evolution of the basin and the development of its oceanic crusts is closely linked to seafloor spreading. A great controversy, however, is around whether or not there was a jump of mid-ocean ridges during seafloor spreading, particularly in the eastern South China Sea subbasin. A tectonostratigraphic interpretation using high-resolution seismic data demonstrated that: a southward jump event (...) of the mid-ocean ridge took place in the eastern subbasin during the seafloor spreading; the orientation of the mid-ocean ridge had dramatically changed after the event resulting in that the abandoned mid-ocean ridge is along an east–west direction, whereas the younger one is generally east–northeast/west–southwest oriented; the corresponding surface caused by the jump tectonic event and the pre-event sequence can be traced throughout the earlier formed oceanic crust; and paleo-magnetic data showed that the event occurred at approximately 25–23.8 Ma. The results of this study could be used to better understand the evolution and filling of the South China Sea and other associated marginal basins. (shrink)

The Gaussian mixture filter can solve the non-Gaussian problem of target tracking in complex environment by the multimode approximation method, but the weights of the Gaussian component of the conventional Gaussian mixture filter are only updated with the arrival of the measurement value in the measurement update stage. When the nonlinear degree of the system is high or the measurement value is missing, the weight of the Gauss component remains unchanged, and the probability density function of the system state cannot (...) be accurately approximated. To solve this problem, this paper proposes an algorithm to update adaptive weights for the Gaussian components of a Gaussian mixture cubature Kalman filter in the time update stage. The proposed method approximates the non-Gaussian noise by splitting the system state, process noise, and observation noise into several Gaussian components and updates the weight of the Gaussian components in the time update stage. The method contributes to obtaining a better approximation of the posterior probability density function, which is constrained by the substantial uncertainty associated with the measurements or ambiguity in the model. The estimation accuracy of the proposed algorithm was analyzed using a Taylor expansion. A series of extensive trials was performed to assess the estimation precision corresponding to various algorithms. The results based on the data pertaining to the lake trial of an unmanned underwater vehicle demonstrated the superiority of the proposed algorithm in terms of its better accuracy and stability compared to those of conventional tracking algorithms, along with the associated reasonable computational time that could satisfy real-time tracking requirements. (shrink)

Supplementary to matter and energy, information is the third essence for modeling the natural world. An emerging discipline known as cognitive informatics (CI) is developed recently that forms a profound interdisciplinary study of cognitive and information sciences, and tackles the common root problems sharing by informatics, computing, software engineering, artificial intelligence, cognitive science, neuropsychology, philosophy, linguistics, and life science. CI focuses on internal information processing mechanisms and the natural intelligence of the brain. This paper describes the historical development of informatics (...) from the classical information theory and contemporary informatics, to CI. The domain of CI, and its interdisciplinary nature are explored. Foundations of CI, particularly the brain versus the mind, the acquired life functions versus the inherited ones, and generic relationships between information, matter, and energy are investigated. The potential engineering applications of CI and perspectives on future research are discussed. It is expected that the investigation into CI will result in fundamental findings towards the development of next generation IT and software technologies, and new architectures of computing systems. (shrink)

The development of classical and contemporary informatics, the cross-fertilization between computer science, software engineering, cognitive science, and neuropsychology, has led to a whole range of extremely interesting new research areas known as cognitive informatics. Cognitive informatics is the transdisciplinary study of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the natural intelligence--human brains and minds. Cognitive informatics is a branch of information and computer science that studies computing by cognitive methodologies and studies cognitive (...) science by informatics and computing theories. Cognitive informatics is a cutting-edge and profound interdisciplinary research area that tackles the fundamental problems of modern informatics, computation, software engineering, artificial intelligence, cognitive science, neuropsychology, and life sciences. Almost all of the hard problems yet to be solved in the above areas share a common root in the understanding of mechanisms of natural intelligence and cognitive processes of the brain. Cognitive informatics is perceived as a new frontier that explores the internal information processing mechanisms of the brain, and their engineering applications in computing and the information technology industry. (shrink)

Previous studies imply that management philosophy has become an essential ethical foundation for a number of mission-driven organizations in Japan. This study examines how management philosophy might be influential to individuals with a sample of 1019 Japanese employees. The article develops a framework for analyzing the adoption of management philosophy and individual attitudinal and behavioral outcomes. Factor analysis shows that adoption of the management philosophy can be categorized into two dimensions, identification with management philosophy, and sensemaking of that management philosophy. (...) Regression results indicate that while philosophy-oriented practice might affect individual adoption of management philosophy, the adoption of the management philosophy is positively related to both job involvement and organizational citizenship behavior. Furthermore, the results of structural equation analysis indicate that both dimensions of the adoption of the management philosophy might mediate the relationship between organizational practice and individual outcomes. The research not only increases our understandings into the effectiveness of the management philosophy as an essential ethical foundation, but also provides intriguing implication regarding the organizational measures required to enhance the mission-driven culture. (shrink)

Supplementary to matter and energy, information is the third essence for modeling the natural world. An emerging discipline known as cognitive informatics is developed recently that forms a profound interdisciplinary study of cognitive and information sciences, and tackles the common root problems sharing by informatics, computing, software engineering, artificial intelligence, cognitive science, neuropsychology, philosophy, linguistics, and life science. CI focuses on internal information processing mechanisms and the natural intelligence of the brain. This paper describes the historical development of informatics from (...) the classical information theory and contemporary informatics, to CI. The domain of CI, and its interdisciplinary nature are explored. Foundations of CI, particularly the brain versus the mind, the acquired life functions versus the inherited ones, and generic relationships between information, matter, and energy are investigated. The potential engineering applications of CI and perspectives on future research are discussed. It is expected that the investigation into CI will result in fundamental findings towards the development of next generation IT and software technologies, and new architectures of computing systems. (shrink)

ABSTRACTThe six basic emotions have long been considered discrete categories that serve as the primary units of the emotion system. Yet recent evidence indicated underlying connections among them. Here we tested the underlying relationships among the six basic emotions using a perceptual learning procedure. This technique has the potential of causally changing participants’ emotion detection ability. We found that training on detecting a facial expression improved the performance not only on the trained expression but also on other expressions. Such a (...) transfer effect was consistently demonstrated between disgust and anger detection as well as between fear and surprise detection in two experiments. Notably, training on any of the six emotions could improve happiness detection, while sadness detection could only be improved by training on sadness itself, suggesting the uniqueness of happiness and sadness.... (shrink)

Empowering the rank and file members in choosing a party leader has become an increasing trend in parliamentary democracies. This study examines the process of adopting more inclusive methods to choose a party leader in the Liberal Democratic Party of Japan. The LDP introduced a national primary to elect a leader in 1978. However, this first attempt to open up the party leadership selection was soon replaced by traditional coalition-making politics. In this regard, the LDP is different from most of (...) the Westminster parties that followed a smooth linear process of transferring more power to the rank and file members. This article identifies a ‘swing-back’ effect between 1980 and 1990 in the democratization process of party leadership selection. Working like a pendulum, the LDP did not resume a primary until 1991. It was in 2003 that a nationwide primary became a regular way. This article argues that the discontinuity of reformist actors caused this uncommon swing-back effect. The reformist split in 1976, the sudden death of Masayoshi Ohira, and Kanemaru mediation in 1984 stalled the reforms. Although one finds a similar trend in democratizing party leadership selection outside Europe, the LDP presented an abnormal inactivity and time-lag differences. (shrink)

Although there are various ways to express actions and behaviors in natural languages, it is found in cognitive informatics that human and system behaviors may be classified into three basic categories: to be , to have , and to do . All mathematical means and forms, in general, are an abstract description of these three categories of system behaviors and their common rules. Taking this view, mathematical logic may be perceived as the abstract means for describing to be, set theory (...) for describing 'to have,' and algebras, particularly the process algebra, for describing to do. This is a fundamental view toward the formal description and modeling of human and system behaviors in general, and software behaviors in particular, because a software system can be perceived as a virtual agent of human beings, and it is created to do something repeatable, to extend human capability, reachability, and/or memory capacity. The author found that both human and software behaviors can be described by a three-dimensional representative model comprising action, time, and space. For software system behaviors, the three dimensions are known as mathematical operations, event/process timing, and memory manipulation. This paper introduces the real-time process algebra (RTPA) that serves as an expressive notation system for describing thoughts and notions of dynamic software behaviors. Experimental case studies on applications of RTPA in describing the equivalent software and human behaviors as a series of actions and cognitive processes are demonstrated with real-world examples. (shrink)

Although there are various ways to express actions and behaviors in natural languages, it is found in cognitive informatics that human and system behaviors may be classified into three basic categories: to be, to have, and to do. All mathematical means and forms, in general, are an abstract description of these three categories of system behaviors and their common rules. Taking this view, mathematical logic may be perceived as the abstract means for describing ‘to be,’ set theory for describing 'to (...) have,' and algebras, particularly the process algebra, for describing ‘to do.’ This is a fundamental view toward the formal description and modeling of human and system behaviors in general, and software behaviors in particular, because a software system can be perceived as a virtual agent of human beings, and it is created to do something repeatable, to extend human capability, reachability, and/or memory capacity. The author found that both human and software behaviors can be described by a three-dimensional representative model comprising action, time, and space. For software system behaviors, the three dimensions are known as mathematical operations, event/process timing, and memory manipulation. This paper introduces the real-time process algebra that serves as an expressive notation system for describing thoughts and notions of dynamic software behaviors. Experimental case studies on applications of RTPA in describing the equivalent software and human behaviors as a series of actions and cognitive processes are demonstrated with real-world examples. (shrink)

Considering the complexity and uncertainty of decision-making in the operating environment of an unmanned underwater vehicle, this study proposes an autonomous decision-making method based on the dynamic influence diagram and expected utility theory. First, a threat assessment model is established for situation awareness of the UUV. Accordingly, a DID model is developed for autonomous decision-making of the UUV. Then, based on the threat assessment results for the UUV, the utility of each decision-making plan in the decision-making nodes is inferred and (...) predicted. Subsequently, the principle of maximum expected utility is used to select an optimal autonomous decision-making plan. Finally, the effectiveness of the DID method is verified by simulation. Compared with the traditional expert systems, the DID system shows great adaptability and exhibits better solutions of dynamic decision problems under uncertainty. (shrink)