bluuebunny/crossref_metadata_2025_split huggingface dataset:
“A Comunidade Internacional e o Direito”/"The International Community and the Right"
Authors: Bobbio Norberto 
Published: April 2020

Resumo: O texto consiste numa ampla resenha crítica escrita pelo filósofo italiano Norberto Bobbio sobre o livro La comunità internazionale e il diritto [A comunidade internacional e o direito] (1950) de Mario Giuliano, na qual são discutidas essencialmente questões clássicas da filosofia do direito internacional, como a contraposição entre jusnaturalismo e juspositivismo, a natureza do direito internacional, a contraposição entre internacionalismo e cosmopolitismo, a reforma do direito internacional, a reforma da comunidade internacional, os temas da paz e da guerra, a cientificidade do direito internacional, a contraposição entre direito internacional e direito estatual e o tema do pacifismo. Palavras-chave: Mario Giuliano, direito internacional, comunidade internacional, internacionalismo, pacifismo. Abstract: This paper is a comprehensive critical review written by the Italian philosopher Norberto Bobbio on the book La comunità internazionale e il diritto [The international community and the right] (1950) by Mario Giuliano, which are discussed essentially classical questions of philosophy of law international, as the opposition between natural law and positive law, the nature of international law, the opposition between internationalism and cosmopolitanism, the reform of international law, the reform of the international community, the issues of peace and war, the scientificity of international law, opposition between international law and estatual rights and the issue of pacifism.Keywords: Mario Giuliano, international law, international community, internationalism, pacifism
Atores não estatais ilícitos e a governança global: o lugar do terrorismo dentro do debate normativo das Relações Internacionais/ Illicit non-state actors and global governance: terrorism’s place within International Relations’ normative debate
Authors: Calfat Natalia Nahas Carneiro Maia 
Published: April 2020

É objetivo deste artigo discorrer sobre o papel o terrorismo dentro do debate sobre governança global nas Relações Internacionais. Apesar da agenda normativa reconhecer a emergência e importância de atores não estatais ilícitos no cenário internacional, a literatura parece centrada em resolver questões de legitimidade, accountability, transparência, democratização e inclusão. Ignorando, neste sentido, o relevante papel de grupos terroristas tanto sobre a (in)governança global quanto na contestação da autoridade estatal. Através da análise da literatura normativa sobre governança global identificaremos neste artigo a necessidade, por parte destes teóricos, da contemplação de forma mais exploratória da emersão destas novas modalidades de autoridade e de governança.Palavras-Chave: terrorismo, atores não estatais ilícitos, governança global, autoridade. Abstract: This current essay discusses the role of terrorism within the debate over global governance in the field of International Relations. Despite the normative agenda recognition of the emergence and importance of illicit non-state actors at the international arena, the literature seems focused on solving issues such as legitimacy, accountability, transparency, democratization and inclusion. Ignoring, therefore, the relevant role of terrorist groups over both global (in) governance as well as its impugnment of state authority. By analyzing the normative literature on global governance we identify through this article the normative theorists’ need for contemplating, on a more exploratory manner, the emergence of these new forms of authority and governance.Key-words: terrorism, illicit non-state actors, global governance, authority.
Colaboradores
Authors: Geraldello Camilla Silva 
Published: April 2020

Biografias e emails dos colaboradores desta edição:
Andrea Luiza Fontes Resende de Souza
Bruna Bosi Moreira
Bruna Leticia Marinho Pereira
Iure Paiva
Heverton Lopes Rezende
Jéssica Maria Grassi
Marcos Alan S. V. Ferreira
Mauricio Santoro Rocha
Max Sarney A. Silva
Rodrigo Ismael Francisco Maia
Simone Maciel Cuiabano
Tomaz Espósito Neto
Robust Speech Recognition Using KPCA-Based Noise Classification
Authors: Thatphithakkul Nattanun , Kruatrachue Boontee , Wutiwiwatchai Chai , Marukatat Sanparith , Boonpiam Vataya 
Published: April 2020

This paper proposes an environmental noise classification method using kernel principal component analysis (KPCA) for robust speech recognition. Once the type of noise is identified, speech recognition performance can be enhanced by selecting the identified noise specific acoustic model. The proposed model applies KPCA to a set of noise features such as normalized logarithmic spectrums (NLS), and results from KPCA are used by a support vector machines (SVM) classifier for noise classification. The proposed model is evaluated with 2 groups of environments. The first group contains a clean environment and 9 types of noisy environments that have been trained in the system. Another group contains other 6 types of noises not trained in the system. Noisy speech is prepared by adding noise signals from JEIDA and NOISEX-92 to the clean speech taken from NECTEC-ATR Thai speech corpus. The proposed model shows a promising result when evaluating on the task of phoneme based 640 Thai isolatedword recognition.
Semantic Web Services: Service Discovery and Invocation Planning
Authors: Limapichat Kati , Chaiyakul Sukasom , Dixit Avani , Nantajeewarawat Ekawit 
Published: April 2020

With the expanse of internet, web programmers have wide choice of web services available to them. A need arises for automatic discovery of required web services and construction of an appropriate sequence of invocation thereof. In this paper, we present a framework for automation of this task based on currently emerging technologies such as ontological knowledge bases, OWL, OWL-S, WSDL, Description Logic (DL), etc. Background-knowledge ontologies are created based on which semantic meanings of web services can be given through OWL-S. An agent employs OWL-S API to extract web service metadata, and applies a DL inference engine, called Racer, for reasoning with the metadata with respect to given background knowledge. Reasoning tasks performed by Racer include profile matchmaking, input/output subsumption testing, and preconditions/effects analysis, which are basic mechanisms for web services discovery and invocation planning. A prototype system has been implemented.
A Performance Analysis of Compressed Compact Genetic Algorithm
Authors: Watchanupaporn Orawan , Soonthornphisaj Nuanwan , Suwannik Worasait 
Published: April 2020

Compressed compact genetic algorithm (c2GA) is an algorithm that utilizes the compressed chromosome encoding and compact genetic algorithm (cGA). The advantage of c2GA is to reduce the memory usage by representing population as a probability vector. In this paper, we analyze the performance in term of robustness of c2GA. Since the compression and decompression strategy employ two parameters, which are the length of repeating value and the repeat count, we vary these two parameters to see the performance affected in term of convergence speed. The experimental results show that c2GA outperforms cGA and is a robust algorithm.
An Incorporated Use of Fuzzy Logic Toolbox and Modelica Library to Design SSSC Damping Controller
Authors: Somritvanitcha Boonrat , Ngamroo Issarachai , Hongesombut Komsan 
Published: April 2020

ObjectStab is a general purpose simulation tool for power system stability studies developed by Modelica which is an object-oriented modeling language. It provides enough modeling flexibility to allow addition or modification of new power system components. This paper describes an incorporated use of fuzzy logic toolbox in Matlab/Simulink and Object-Stab library to enhance the application of this library into fuzzy control design environment. The example provided here is the modeling of the static synchronous series compensator (SSSC) which is the new device developed in the ObjectStab. In addition, the interface of ObjectStab with Matlab/Simulink for an SSSC damping controller design by fuzzy logic toolbox is explained step by step. Simulation studies in a multi-machine power system confirm the effectiveness of the designed fuzzy controller.
Low Power Despreader using Dynamic Reconfigurable Architecture for Multicarrier CDMA with Two-Dimensional Spreading and Variable Spreading Factor
Authors: Sugawara Takayuki , Miyanaga Yoshikazu 
Published: April 2020

In this paper, we propose a dynamic reconfigurable architecture of a despreader for Multicarrier code division multiple access (CDMA) with two-dimensional spreading and variable spreading factor. The spreading factors in the time and frequency domains are varied according to cell configuration, channel load, and propagation channel conditions in the system. The structure of the proposed despreader is dynamically changed with spreading factors. Following this structure, optimum parallel and pipeline processing are achieved. The proposed despreader reduces the power consumption by 60% compared with the basic one.
Clustering e-Banking Customer using Data Mining and Marketing Segmentation
Authors: Niyagas Waminee , Srivihok Anongnart , Kitisin Sukumal 
Published: April 2020

In Thailand e-banking has been offered by various financial institutes including Thai commercial banks and government banks. However, e-banking in Thailand is not widely used and accepted as in other countries. Accordingly, the study of e-banking is scantly due to the limitation of data confidentiality. This study uses data mining techniques to analyse historical data of e-banking usages from a commercial bank in Thailand. These techniques including SOMS, K-Mean algorithm and marketing techniques-RFM analysis are used to segment customers into groups according to their personal profiles and e-banking usages. Then Apriori algorithm is applied to detect the relationships within features of e-banking services. Typically, results of this study are presented and can be used to generate new service packages which are customised to each segment of e-banking users.
Cluster Analysis of Prominent Features for Determining Stress Levels in Thai Speech
Authors: Charnvivit Patavee , Thubthong Nuttakorn , Luksaneeyanawin Sudaporn 
Published: April 2020

Software testing is an important activity in software development process. Testers have to generate test cases to test a system. At least, test cases consist of test input values and expected results. In functional testing or black-box testing, test designers can generate test cases from a requirements specification document which includes diagrams such as UML Diagrams. In this research, we consider UML use case diagrams and propose an approach for generating test cases from use cases based on a limited entries decision table. These test cases cover all success and alternative scenarios in a use case as well as all events that contain include and extend relationship.
An Optimal Integer Partition Approach to Coalition Structure Generation
Authors: Boonjing Veera , Narabin Santit 
Published: April 2020

This paper proposes a new solution to the problem of coalition structure generation using an optimal integer partition. The new partition is the set of set of integers where each integer represents size of a coalition. It includes only elements that no other elements in this partition have values of generated structures higher than them. We show that an element of this partition is a set containing 1 at most one element. Any solutions to the problem of coalition structure generation using the new partition can reduce at least approximately 40% of possible candidate structures when size of coalition members at least 5. Moreover, the bigger the size of coalition members is, the more these solutions outperform the ones using integer partitions.
Retrieving Model for Design Patterns
Authors: Intakosum Sarun , Muangon Weenawadee 
Published: April 2020

The purpose of this research is to develop a retrieving model for design patterns, based on problem domain context. The research aims to provide a convenient way for developers to access to the right design patterns that can solve their design problems. The proposed model is composed of two major parts, the analysis of design pattern documents to create searchindexes, and the calculation of index weight. Vector space model is used to calculate similarity between queries and documents. The result of this research shows that precision of the proposed model, in retrieving correct design patterns, is about 70 percents in average.
Evaluation of UMTS RLC Parameters for MPEG-4 Video Streaming
Authors: Panchaem Arisa , Kamolpiwong Sinchai , Unhawiwat Mallika , Saewong Suthon 
Published: April 2020

Universal Mobile Telecommunication Systems (UMTS) known as Third Generation (3G) mobile phone systems using Wideband Code Division Multiple Access (WCDMA) standard aim to provide a high bit rate of services to enable a high quality of multimedia communications. The 3G specification entity, 3GPP, has defined a reliable link layer protocol, Radio Link Control (RLC), for hiding transmission errors from upper layers. Due to the complexity of the protocol and the a number of parameter configurations available, there are many ways that can degrade a system performance, such as incorrect parameters configuration, buffer missmanagement, protocol stalling, etc. MPEG-4 is widely used for video stream services due to its good video quality at low bit rate. In this paper, we have studied on the impacts of RLC parameters, especially RLC timer and polling mechanism, for MPEG-4 video stream transmission by using a computer simulation. Our simulation results provide some suggestions value to optimize such parameters, e.g. RLC time and polling.
Modified CIC Filter for Rational Sample Rate Conversion
Authors: Dolecek Gordana Jovanovic 
Published: April 2020

The modification of the conventional CIC (cascadedintegrator-comb) filter for rational sample rate conversion (SRC) in software defined radio (SWR) systems is presented here. The conversion factor is a ratio of two mutually prime numbers, where the decimation factor M can be expressed as a product of two integers. The overall filter realization is based on a stepped triangular form of the CIC impulse response, the corresponding expanded cosine filter, and sine-based compensation filter. This filter performs sampling rate conversion efficiently by using only additions/subtractions making it attractive for software defined radio (SWR) applications.
Low Power Consumption Mobile Ad Hoc Network System
Authors: Ishii Hiroshi 
Published: April 2020

In order to solve the environmental crisis problem and to realize the sustainable environment, we need the efforts to reduce energy consumption. It is reported that the energy consumption by IT including communication will rapidly grow. Based on this situation, Japan Science and Technology Agency (JST) has begun the project of “Ultra low power consumption information technology” under the umbrella of the competitive research fund named “Core Research for Evolutional Science and Technology (CREST)”. We have applied to the open call for proposal and our proposal “Ultra low power Data Driven Networking System (ULPDDNS)” has been accepted as one of 2007-2012 frame projects by JST CREST. Our objective is to develop a data-driven networking system that can achieve reduction of power consumption to 1/100-1/1000 compared with the existing systems, especially in the situation just after a disaster happened. We believe the most applicable network to disaster situation is Mobile Ad hoc NETwork (MANET). This paper introduces the ULPDDNS research activities mainly from the viewpoint of network, i.e., MANET and shows three techniques to establish highly efficient and energy saving MANETswith reasonable performance: (1) GPS-aided target information discovery, (2) Load-aware broadcast-type contents delivery, and (3) Trust relationship list based key management.
On Applications of Graph/Network Theory to Problems in Communication Systems
Authors: Tamura Hiroshi , Nakano Keisuke , Sengoku Masakazu , Shinoda Shoji 
Published: April 2020

Graph/network theory results are applicable to problems in communications. As a representative example, the node coloring problem in graph theory is applicable to the channel assignment problem in cellular mobile communication systems. The node coloring problem is NP-complete, meaning that optimally solving it is very difficult. Therefore, we use heuristic algorithms for the channel assignment problem. In this case, the graph theory results show the legitimacy of using heuristic techniques. On the other hand, we can directly apply graph theory to communication problems. For example, on contents delivery services in the Internet, we place mirror servers that provide the same contents on the network. Location problems on flow networks are applicable to mirror server allocation problems. In a simple case, we can efficiently solve the problem. In this paper, we concentrate on multi-hop wireless networks and consider the relationship between their problems and the results of graph/network theory.
Electrical Distribution Grid Visualization using Programmable GPUs Javier Novo
Authors: Rodrguez Javier Novo , Canosa Mariano Cabrero , Pereira Elena Hernandez 
Published: April 2020

Modern graphics cards enable applications to process big amounts of graphical data faster than CPUs, allowing high-volume parallelizable data to be visualized in real-time. In this paper, we present an approach to enable a power grid planning Computer- Aided-Design application to use this processing power to visualize electrical distribution grids in the fastest possible way. Specifically, the GPU has been programmed using Vertex Shaders in order to generate wide lines representing the power lines carrying a given power load. Furthermore, this kind of shaders was also used to translate the coordinates of the power grid from the geographic to the graphic domain, thus offloading this work from the CPU. As a result, the aforesaid application became able to render the visualization of power grids much faster and to offer highly responsive interactions with them.
Human Detection by Boosting-Based Co-occurrence of HOG and Color Feature
Authors: Matsumura Ryo , Hanazawa Akitoshi 
Published: April 2020

In this paper, we propose a method for human detection using co-occurrence of Histograms of Oriented Gradients (HOG) features and color features. This method expresses the co-occurrence between HOG and color features by Adaboost and generates the combination of the features effective for the identification automatically. Color features were calculated by making histograms that quantized hue and saturation in local areas. We show the effectiveness of the proposed method by identification experiments for human and non-human images.
A Fast and Efficient Palmprint Identification Method for a Large Database
Authors: Sakdanupab Mongkon , Covavisaruch Nongluk 
Published: April 2020

This paper proposes a fast and efficient palmprint identification method for a large database. The process is accelerated as a result of our efficient palmprint classification and matching scheme. Palmprint classification method is based on principle lines which are life line, head line and heart line. Palmprints’ features are extracted with Log-Gabor filter and matched with Hamming distance in the most potential palmprint group/category, and if necessary, continues orderly to the less potential ones. Experiments are done with 2 hand databases, Visgraph database and CU-CGCI hand database. Experimental results show that the proposed method can greatly reduce the number of template matching from 100% (as in general identification methods) to 33.2-38.2% while maintaining the equivalent EER as the general identification method.
Particle Based Visualization of Stress Distribution Caused by the Aortic Valve Deformation
Authors: Nakagawa Masashi , Mukai Nobuhiko , Niki Kiyomi , Takanashi Shuichiro 
Published: April 2020

Medical and engineering technologies have developed the surgical simulators, which allow users to train for surgical skills. To perform the aortic valve replacement, which is one of the cardiovascular surgeries, it is necessary to examine not only the timing of the heart pulsating but also the stress distribution on the aortic valve. For pre-operative planning, wehave visualized the stress on the aortic valve due to the deformation of the aorta and blood stream. In our research, simulations of the deformation of the aortic valve and blood stream have been performed with 3D aorta and aortic valve models, which are composed of particles. In the simulation, the aortic valve and blood models are treated as an elastic body and Hershel-Bulkley fluid, respectively. We have used MPS (Moving Particle Semi-implicit) as the particle method; however, it is known that MPS method cannot specify the stress because the pressure among the particles on the free surfaces is zero. Then, in this paper, we propose more stable pressure calculation by considering virtual particles. As a result, visualization of the stress distribution on the aortic valve has been achieved.
Hardware Development of Baseband Transceiver and FPGA-Based Testbed in 88 and 22 MIMO-OFDM Systems
Authors: Yoshizawa Shingo , Miyanaga Yoshikazu 
Published: April 2020

Multiple-input multiple-output orthogonal frequency multiplexing (MIMO-OFDM) is powerfulin enhancing communication capacity or reliance. The IEEE802.11n standard defines use of four spatial streams in spatial division multiplexing (SDM). The task group of IEEE802.11ac will extend it to eight spatial streams. We present an 88 MIMOOFDM baseband transceiver compatible with the IEEE802.11ac specification. Two 88 MMSE MIMO detectors based on Streassen’s matrix inversion have been designed for real-time MIMO detection. To demonstrate MIMO-OFDM transmission, we have prototyped a FPGA-based testbed in 22 MIMOOFDM for field experiment and video transmission.
Single-RF Diversity Receiver for OFDM System Using ESPAR Antenna with Alternate Direction
Authors: Tsukamoto Satoshi , Okada Minoru 
Published: April 2020

This paper presents a single-RF diversity scheme for orthogonal frequency division multiplexing (OFDM) receiver using Electronically Steerable Passive Array Radiator (ESPAR) antenna whose direction changes alternately at the OFDM symbol rate. OFDM is widely used for mobile communication systems because of its broadband wireless transmission capability in a severe time dispersive multipath propagation channel. OFDM is, however, not efficient for mitigating the performance degradation due to fading. Diversity is an efficient technique for solving this problem. Although maximal ratio combining diversity is the most efficient technique, it requires the same number of RF front-end circuitry and analog-todigital converters (ADC) as antennas. Although ESPAR antenna-based diversity technique requires only a single-RF and ADC, the convergence is not fast enough to track fast variation of the channel state. Furthermore, it is not efficient in a frequency selective channel. In this paper, we propose a new OFDM diversity scheme using ESPAR antenna. The proposed scheme is capable of obtaining the diversity gain in a frequency selective fading environment and avoids the slow convergence rate problem in the conventional technique using ESPAR antenna. Computer simulation results show that the proposed scheme gives diversity gain in a frequency selective fading channel.