当前期刊: New Generation Computing Go to current issue    加入关注   
显示样式:        排序: IF: - GO 导出
我的关注
我的收藏
您暂时未登录!
登录
  • Jaccard Guided Perturbation for Eigenvector Localization
    New Gener. Comput. (IF 0.889) Pub Date : 2020-07-13
    Debasis Mohapatra

    Understanding the role of network for epidemic spread is a major concern in the study of complex network and disease spread. Localization of Principal EigenVector (PEV) of the network’s adjacency matrix has been explored in recent past by many researchers. Most of the previous works suggest the localization of PEV through maximization of inverse participation ratio (IPR). The network with maximum IPR

    更新日期:2020-07-13
  • An Intelligent System to Generate Chord Progressions from Colors with an Artificial Immune System
    New Gener. Comput. (IF 0.889) Pub Date : 2020-06-25
    María Navarro-Cáceres, José A. Castellanos-Garzón, Javier Bajo

    Synesthesia is a neurological phenomenon in which stimulation of one sensory or cognitive pathway leads to automatic, involuntary experiences in a second sensory or cognitive pathway. Many synesthetes used their capabilities as inspiration for their works. Drawing on this phenomenon, this paper presents a model able to create chord progressions using colors as the synesthetic input. In particular,

    更新日期:2020-06-25
  • SimiT: A Text Similarity Method Using Lexicon and Dependency Representations
    New Gener. Comput. (IF 0.889) Pub Date : 2020-06-17
    Emrah Inan

    Semantic textual similarity methods are becoming increasingly crucial in text mining research areas such as text retrieval and summarization. Existing methods of text similarity have often been computed by their shallow or syntactic representation rather than considering their semantic content and meanings. This paper focuses mainly on computing the similarity between sentences without a supervised

    更新日期:2020-06-18
  • Correction to: Special Issue on Molecular Robotics
    New Gener. Comput. (IF 0.889) Pub Date : 2020-05-30
    Satoshi Murata

    The article “Special Issue on Molecular Robotics”, written by Satoshi Murata was originally published electronically on the publisher's internet portal (currently SpringerLink) on 18th May 2020 with open access.

    更新日期:2020-05-30
  • Modeling and Analysis of Stochastic Reaction Kinetics in Biomolecular Systems
    New Gener. Comput. (IF 0.889) Pub Date : 2020-05-16
    Yutaka Hori

    Chemical reactions in small-volume reactors such as biological cells are highly variable due to the stochastic collision events of the small number of molecules. To analyze and design these stochastic biomolecular reactions, computational tools have been developed based on rigorous mathematical foundations. This paper reviews fundamental theory and computational tools for the modeling, analysis, and

    更新日期:2020-05-16
  • Programming Methods for DNA-Based Reaction–Diffusion Systems
    New Gener. Comput. (IF 0.889) Pub Date : 2020-05-11
    Keita Abe, Satoshi Murata

    In this tutorial, recent development of pattern generation algorithms based on DNA computing will be overviewed. Natural pattern generation, especially in biological organisms, are often driven by spatio-temporal chemical reactions. Various reaction–diffusion systems have been proposed to generate artificial patterns out of DNA sequences. To program DNA reaction–diffusion systems, in addition to the

    更新日期:2020-05-11
  • Chemotaxis-Inspired Control for Multi-Agent Coordination: Formation Control by Two Types of Chemotaxis Controllers
    New Gener. Comput. (IF 0.889) Pub Date : 2020-05-05
    Shinsaku Izumi, Shun-ichi Azuma

    This paper investigates the control of multi-agent systems inspired by chemotaxis of microorganisms. Chemotaxis is a biological phenomenon wherein organisms in an environment are attracted to food but move away from toxins. The problem addressed here is a formation control problem, i.e., a design problem of distributed controllers wherein the relative positions of agents become the desired positions

    更新日期:2020-05-05
  • Distributed Computing Theory for Molecular Robot Systems
    New Gener. Comput. (IF 0.889) Pub Date : 2020-05-03
    Yukiko Yamauchi

    Distributed computation consists of local computations and their interactions. We consider a molecular robot system as a distributed system composed of mobile computing entities with very weak capabilities, i.e., computing entities are anonymous (indistinguishable), oblivious (memory-less), and uniform (following a common local computation rule). The key property of such a distributed system is self-organization

    更新日期:2020-05-03
  • Existing Business Process Models for Model Construction of Multidimensional Business Knowledge: An MDA-Based Transformation Methodology
    New Gener. Comput. (IF 0.889) Pub Date : 2020-04-30
    Sonya Ouali, Mohamed Mhiri, Faiez Gargouri

    Owing to the absolute significance of the business process management, companies have become thoroughly oriented toward a good modeling of the business processes. Although the business process modeling is a substantial part in workflow automation, business process designers often misunderstand domain concepts or relationships due to their lack of precise business knowledge. Such a semantic equivocation

    更新日期:2020-04-30
  • Unifying Parsing and Reflective Printing for Fully Disambiguated Grammars
    New Gener. Comput. (IF 0.889) Pub Date : 2020-04-29
    Zirun Zhu, Hsiang-Shang Ko, Yongzhe Zhang, Pedro Martins, João Saraiva, Zhenjiang Hu

    Language designers usually need to implement parsers and printers. Despite being two closely related programs, in practice they are often designed separately, and then need to be revised and kept consistent as the language evolves. It will be more convenient if the parser and printer can be unified and developed in a single program, with their consistency guaranteed automatically. Furthermore, in certain

    更新日期:2020-04-29
  • Renewal of the Major Fields of New Generation Computing Vol. 38 (2020)
    New Gener. Comput. (IF 0.889) Pub Date : 2020-04-04
    Masayuki Numao, Yutaka Matsuo, Shinnosuke Seki

    The editorial board would like to introduce a new area editor, Shinnosuke Seki, who is establishing a new area for the journal: “Theory of Natural Computing”. He welcomes theoretical studies on internationally accepted models of computation, including cellular automata, chemical reaction networks, Lindenmayer (L-) systems, Nubot models, Oritatami systems, P systems (membrane computing), reaction systems

    更新日期:2020-04-04
  • XOR Gate Design Toward a Practical Complete Set for DNA Computing
    New Gener. Comput. (IF 0.889) Pub Date : 2020-03-21
    Katsuhiro Nishijima, Takashi Nakakuki

    Practical design of the XOR gate is an important milestone in the field of DNA computing. In this study, we aim to develop an enzyme-free XOR gate driven by a toehold-mediated strand displacement mechanism possessing the true detection property. The advantages of our design are as follows: dual-rail logic is not required, the explicit use of the NOT gate is avoided, the circuit structure is simple

    更新日期:2020-03-21
  • Designing Dynamical Molecular Systems with the PEN Toolbox
    New Gener. Comput. (IF 0.889) Pub Date : 2020-03-19
    Nathanael Aubert-Kato, Leo Cazenille

    This tutorial paper focuses on the design, simulation, and optimization of polymerase–exonuclease–nickase (PEN) toolbox systems. The PEN toolbox is a molecular programming framework that relies on the interaction between DNA molecules and enzymes to produce highly non-linear dynamic systems. The flip side of that expressivity is that the design of systems relies heavily on trial-and-error, thus calling

    更新日期:2020-03-19
  • Knowledge-Driven Intelligent Survey Systems Towards Open Science
    New Gener. Comput. (IF 0.889) Pub Date : 2020-03-11
    Elspeth Edelstein, Jeff Z. Pan, Ricardo Soares, Adam Wyner

    In this paper, we propose Knowledge Graph (KG), an articulated underlying semantic structure, as a semantic bridge between humans, systems, and scientific knowledge. To illustrate our proposal, we focus on KG-based intelligent survey systems. In state-of-the-art systems, information is hard-coded or implicit, making it hard for researchers to reuse, customise, link, or transmit structured knowledge

    更新日期:2020-03-11
  • Augmenting Linked Data Ontologies with New Object Properties
    New Gener. Comput. (IF 0.889) Pub Date : 2020-02-08
    S. Subhashree, P. Sreenivasa Kumar

    Although several RDF knowledge bases are available through the Linked Open Data (LOD) initiative, the ontology schema of such linked datasets is not very rich. In particular, they lack object properties. The problem of finding new object properties between any two given classes has not been investigated in detail in the context of Linked Data. In the first part of this paper, we present DARO (Detecting

    更新日期:2020-02-08
  • Evaluation of Generalization Performance of Visuo-Motor Learning by Analyzing Internal State Structured from Robot Motion
    New Gener. Comput. (IF 0.889) Pub Date : 2020-01-22
    Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata

    To provide robots with the flexibility they need to cope with various environments, motion generation techniques using deep learning have been proposed. Generalization in deep learning is expected to enable flexible processing in unknown situations and flexible motion generation. Motion generation models have been proposed to realize specific robot tasks, and their operation successes in unknown situations

    更新日期:2020-01-22
  • Neuro-SERKET: Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models
    New Gener. Comput. (IF 0.889) Pub Date : 2020-01-22
    Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki, Ryo Kuniyasu, Kaede Hayashi, Akira Taniguchi, Takato Horii, Takayuki Nagai

    This paper describes a framework for the development of an integrative cognitive system based on probabilistic generative models (PGMs) called Neuro-SERKET. Neuro-SERKET is an extension of SERKET, which can compose elemental PGMs developed in a distributed manner and provide a scheme that allows the composed PGMs to learn throughout the system in an unsupervised way. In addition to the head-to-tail

    更新日期:2020-01-22
  • Attentional Reinforcement Learning in the Brain
    New Gener. Comput. (IF 0.889) Pub Date : 2020-01-02
    Hiroshi Yamakawa

    Recently, attention mechanisms have significantly boosted the performance of natural language processing using deep learning. An attention mechanism can select the information to be used, such as by conducting a dictionary lookup; this information is then used, for example, to select the next utterance word in a sentence. In neuroscience, the basis of the function of sequentially selecting words is

    更新日期:2020-01-02
  • Development and Evaluation of a New Platform for Accelerating Cross-Domain Data Exchange and Cooperation
    New Gener. Comput. (IF 0.889) Pub Date : 2019-11-29
    Daiji Iwasa, Teruaki Hayashi, Yukio Ohsawa

    The technologies for collecting and analyzing data are developing significantly, enabling us to gain new knowledge from various types of data. Recently, the considerably increasing expectation for cross-domain data exchange and cooperation has attracted attention from data markets. However, as we lack data-utilization knowledge, an accurate evaluation of data is difficult; a non-price indicator for

    更新日期:2019-11-29
  • A Survey on Modeling Language Evolution in the New Millennium
    New Gener. Comput. (IF 0.889) Pub Date : 2019-11-25
    Arianna D’Ulizia, Fernando Ferri, Patrizia Grifoni

    Language is a complex evolving system and it is not a trivial task to model the dynamics of processes occurring during its evolution. Therefore, modeling language evolution has attracted the interest of several researchers giving rise to a lot of models in the literature of the last millennium. This work reviews the literature devoted to computationally represent the evolution of human language through

    更新日期:2019-11-25
  • Mining High-Average Utility Itemsets with Positive and Negative External Utilities
    New Gener. Comput. (IF 0.889) Pub Date : 2019-11-07
    Irfan Yildirim, Mete Celik

    High-utility itemset mining (HUIM) is an emerging data mining topic. It aims to find the high-utility itemsets by considering both the internal (i.e., quantity) and external (i.e., profit) utilities of items. High-average-utility itemset mining (HAUIM) is an extension of the HUIM, which provides a more fair measurement named average-utility, by taking into account the length of itemsets in addition

    更新日期:2019-11-07
  • EmbNum+: Effective, Efficient, and Robust Semantic Labeling for Numerical Values
    New Gener. Comput. (IF 0.889) Pub Date : 2019-11-04
    Phuc Nguyen, Khai Nguyen, Ryutaro Ichise, Hideaki Takeda

    In recent years, there has been an increasing interest in numerical semantic labeling, in which the meaning of an unknown numerical column is assigned by the label of the most relevant columns in predefined knowledge bases. Previous methods used the p value of a statistical hypothesis test to estimate the relevance and thus strongly depend on the distribution and data domain. In other words, they are

    更新日期:2019-11-04
  • Dynamic Simulation of 1D Cellular Automata in the Active aTAM.
    New Gener. Comput. (IF 0.889) Pub Date : 2015-07-01
    Nataša Jonoska,Daria Karpenko,Shinnosuke Seki

    The Active aTAM is a tile based model for self-assembly where tiles are able to transfer signals and change identities according to the signals received. We extend Active aTAM to include deactivation signals and thereby allow detachment of tiles. We show that the model allows a dynamic simulation of cellular automata with assemblies that do not record the entire computational history but only the current

    更新日期:2019-11-01
  • Semantic Representation for Age Word Problems with Schemas
    New Gener. Comput. (IF 0.889) Pub Date : 2019-09-05
    Sowmya S. Sundaram, Savitha Sam Abraham

    A method of representing algebraic age word problems for automated solving has been proposed. Schemas pertinent to the domain have been represented as logical predicates and functions and used as an intermediate representation. Though data-driven methods have dominated the paradigm for solving word problems recently, we demonstrate that representing these word problems formally has advantages. We illustrate

    更新日期:2019-09-05
  • Concurrent Treaps and Impact of Locking Objects
    New Gener. Comput. (IF 0.889) Pub Date : 2019-09-04
    Praveen Alapati, Madhu Mutyam, Swamy Saranam

    We propose algorithms to perform operations concurrently on treaps in a shared memory multi-core environment. Concurrent treaps hold the advantage of using nodes’ priority for maintaining the height of the treaps. To achieve synchronization, concurrent treaps make use of fine-grained locking mechanism along with logical ordering and physical ordering of nodes’ keys. We initially study the throughput

    更新日期:2019-09-04
  • An Ontology-Based Kinematics Problem Solver Using Qualitative and Quantitative Knowledge
    New Gener. Comput. (IF 0.889) Pub Date : 2019-09-03
    Savitha Sam Abraham, Sowmya S. Sundaram

    One of the major tasks involved in the development of a knowledge-based problem solver is domain knowledge representation and reasoning. In this paper, we address this task for a knowledge-based kinematics word problem solver that solves problems from the domain of kinematics automatically, where solving each problem involves identifying the value of a specific unknown quantity referred to, within

    更新日期:2019-09-03
  • Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing
    New Gener. Comput. (IF 0.889) Pub Date : 2019-09-03
    Vidar N. Klungre, Ahmet Soylu, Ernesto Jimenez-Ruiz, Evgeny Kharlamov, Martin Giese

    Ontology-based visual query formulation is a viable alternative to textual query editors in the Semantic Web domain for extracting data from structured data sources in terms of the skills and knowledge required. A visual query system is at any moment responsible for providing the user with query extension suggestions; however, suggestions leading to empty results are often not useful. To this end,

    更新日期:2019-09-03
  • Temporal Link Prediction: A Survey
    New Gener. Comput. (IF 0.889) Pub Date : 2019-08-13
    Aswathy Divakaran, Anuraj Mohan

    The evolutionary behavior of temporal networks has gained the attention of researchers with its ubiquitous applications in a variety of real-world scenarios. Learning evolutionary behavior of networks is directly related to link prediction problem, as the addition or removal of new links or edges over time leads to the network evolution. With the rise of large-scale temporal networks such as social

    更新日期:2019-08-13
  • Whole-Cell Modeling and Simulation: A Brief Survey
    New Gener. Comput. (IF 0.889) Pub Date : 2019-08-12
    Nayana G. Bhat, S. Balaji

    Gaining knowledge and engineering of biological systems require comprehensive models of cellular physiology with 100% predictability. The whole-cell models direct experiments in molecular biological science and empower simulation and computer-aided design in synthetic biology. Whole-cell modeling and simulation help in personalized medical treatment building a biological system through cell interactions

    更新日期:2019-08-12
Contents have been reproduced by permission of the publishers.
导出
全部期刊列表>>
欢迎访问IOP中国网站
自然职场线上招聘会
GIANT
产业、创新与基础设施
自然科研线上培训服务
材料学研究精选
胸腔和胸部成像专题
屿渡论文,编辑服务
何川
苏昭铭
陈刚
姜涛
李闯创
李刚
北大
跟Nature、Science文章学绘图
隐藏1h前已浏览文章
中洪博元
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
x-mol收录
上海纽约大学
张健
陈芬儿
厦门大学
史大永
吉林大学
卓春祥
张昊
杨中悦
试剂库存
天合科研
down
wechat
bug