Abstract To efficiently fuse multi-spectral (MS) and panchromatic (PAN) images acquired from THEOS satellite, the authors offer proper parameters to improve IHS fusion technique based on its spectral responsivity. This concept was originally contributed by Tu et al., applied to IKONOS image fusion. Red and NIR bands of THEOS imagery with lower response were adjusted to be higher and close to the response of PAN... To efficiently fuse multi-spectral (MS) and panchromatic (PAN) images acquired from THEOS satellite, the authors offer proper parameters to improve IHS fusion technique based on its spectral responsivity. This concept was originally contributed by Tu et al., applied to IKONOS image fusion. Red and NIR bands of THEOS imagery with lower response were adjusted to be higher and close to the response of PAN band using those new proposed parameters. Indexes including the correlation coefficients (CCs), relative dimensionless global error in synthesis (ERGAS), and relative average spectral error (RASE) of the pan-sharpened and MS images were compared to quantitatively evaluate the quality of pansharpened images. The resulting indexes indicate that the quality of pan-sharpened images obtained from the study be obviously high. Indexes from images transformed by the method of Tu et al. were compared to the indexes obtained from the study as well. The comparison expresses that indexes resulted from the study are better than ones using the method of Tu et al. It can confirm that the fusion method based on the concept of adjustment on spectral responsivity of specific sensor is valid. The new approach provides a satisfactory result of image fusion, both visually and quantitatively. Read More Read Less

Abstract In this paper we propose a new approach to tackle the problem of finding efficient non deterministic solutions for the complement of the language L1 = { wwR / w ∈ {0, 1}*} (the even length non palindromes) and the complement of the type 0 language (recursively enumerable) L2 = {ww / w ∈ {0, 1}*}. The solutions provided are very... In this paper we propose a new approach to tackle the problem of finding efficient non deterministic solutions for the complement of the language L1 = { wwR / w ∈ {0, 1}*} (the even length non palindromes) and the complement of the type 0 language (recursively enumerable) L2 = {ww / w ∈ {0, 1}*}. The solutions provided are very elegant and make a subtle use of non determinism. We show that these languages are context free languages by designing non deterministic pushdown automaton that accepts them. Read More Read Less

Abstract Modern society is producing more information at a faster pace than ever before; data which is increasingly used to solve a variety of real world problems. But given the vast size of the data involved and the resource intensive nature of rapid large-data processing, the need for more advanced methodologies in this regard is growing. This phenomenon has given rise to... Modern society is producing more information at a faster pace than ever before; data which is increasingly used to solve a variety of real world problems. But given the vast size of the data involved and the resource intensive nature of rapid large-data processing, the need for more advanced methodologies in this regard is growing. This phenomenon has given rise to the term Big Data which references the types of data intensive problems that are typically beyond the ability of traditional tools and methodologies to effectively manage. This paper outlines the use of agent-oriented software engineering methodologies and commercial cloud technology in the development of a system designed to address one of these many Big Data problems. The Feed Analyzer is a conceptual search based Web feed aggregation system deployed to Microsoft Windows Azure cloud platform. We discuss the implementation and evaluation of this system with the primary goal of contributing to the body of knowledge a practical means by which a Big Data problem may be addressed using cloud technologies. Read More Read Less

Abstract Modern society is producing more information at a faster pace than ever before; data which is increasingly used to solve a variety of real world problems. But given the vast size of the data involved and the resource intensive nature of rapid large-data processing, the need for more advanced methodologies in this regard is growing. This phenomenon has given rise to... Modern society is producing more information at a faster pace than ever before; data which is increasingly used to solve a variety of real world problems. But given the vast size of the data involved and the resource intensive nature of rapid large-data processing, the need for more advanced methodologies in this regard is growing. This phenomenon has given rise to the term Big Data which references the types of data intensive problems that are typically beyond the ability of traditional tools and methodologies to effectively manage. This paper outlines the use of agent-oriented software engineering methodologies and commercial cloud technology in the development of a system designed to address one of these many Big Data problems. The Feed Analyzer is a conceptual search based Web feed aggregation system deployed to Microsoft Windows Azure cloud platform. We discuss the implementation and evaluation of this system with the primary goal of contributing to the body of knowledge a practical means by which a Big Data problem may be addressed using cloud technologies. Read More Read Less

Abstract The implications and features of network public opinion are introduced, and the feasibility of using linkage analysis technology to analyze the evolution trends of network public opinion is discussed. The evolution process of network public opinion with time and information source quality evaluation are studied with the use of BUT Web crawler as a tool and several well-known news sites or portals to... The implications and features of network public opinion are introduced, and the feasibility of using linkage analysis technology to analyze the evolution trends of network public opinion is discussed. The evolution process of network public opinion with time and information source quality evaluation are studied with the use of BUT Web crawler as a tool and several well-known news sites or portals to news channels in China as the case study. The linkage analysis principle is combined with network public opinion features. Experiment results show that linkage analysis technology can reveal the evolution trends of network public opinion. Such an analytical scheme could be a powerful tool for the quality evaluation of information sources of network public opinion. This scheme is also beneficial for automatically finding and tracking hot public opinion. Read More Read Less

Abstract This study aims to overcome the principal problems in the current information-support platformoriented digital oilfield. These problems include a low utilization efficiency of the software and hardware resources, the high maintenance cost of the system, and limited automatic control. Starting with the existing software and hardware resources and with the current pattern of use of cloud computing, this study designs a cloud platform-oriented digital oilfield, based on highperformance computing... This study aims to overcome the principal problems in the current information-support platformoriented digital oilfield. These problems include a low utilization efficiency of the software and hardware resources, the high maintenance cost of the system, and limited automatic control. Starting with the existing software and hardware resources and with the current pattern of use of cloud computing, this study designs a cloud platform-oriented digital oilfield, based on highperformance computing (HPC). It also comprehensively describes the architecture of the cloud platform and then solves three key problems, namely, united resource management (computing and license resources ), policybased resource scheduling, and self-service remote cluster visualization. Finally, this paper describes the achievement of establishing and operating a new type of cloud platform-oriented digital oilfield, based on HPC with self-service intelligent cluster development, mainstream application system integration, unified job management, comprehensive real-time monitoring of resources, and statistical statement analysis. The results show that integrating cloud computing into HPC can comprehensively improve the efficiency of use of the hardware and software resources, and reduce system operation and maintenance costs, as well as providing administrators with a friendly and fast way to use and monitor those resources. Read More Read Less

Abstract Because of its excellent performance and combination with high precision control method, permanent magnet synchronous motor (PMSM) has wider applications in such areas as industry, social life, aerospace and national defense. This paper introduces the structure of the PMSM. Then, it gets the mathematical model that PMSM rotates on the x − y coordinate system under the stator flux linkage according to... Because of its excellent performance and combination with high precision control method, permanent magnet synchronous motor (PMSM) has wider applications in such areas as industry, social life, aerospace and national defense. This paper introduces the structure of the PMSM. Then, it gets the mathematical model that PMSM rotates on the x − y coordinate system under the stator flux linkage according to the theory of direct torque analysis coordinate systems which involves the coordinate transformation, combined with the coordinate system and a mathematical model of PMSM in a three-phase PMSM stationary coordinate system. Afterwards, it analyses the basic principles of MRAS control, and designs an adaptive location identifier based on stator flux reference to realize identification of rotor speed and position, which can avoid the introduction of the speed sensor with complex system and high maintenance costs. Read More Read Less

Abstract Many countries have actively engaged in the development of interoperability for electronic data and transaction exchange among government agencies to provide better joint-up public services to their citizens. National level policy frameworks, often called Electronic Government Interoperability Frameworks (e-GIF), have been established to drive these initiatives in many of those countries. However, most of these e-GIF frameworks haven't adopted the holistic... Many countries have actively engaged in the development of interoperability for electronic data and transaction exchange among government agencies to provide better joint-up public services to their citizens. National level policy frameworks, often called Electronic Government Interoperability Frameworks (e-GIF), have been established to drive these initiatives in many of those countries. However, most of these e-GIF frameworks haven't adopted the holistic concept of Enterprise Architectures (EA), except for example in the case of Thailand, U.S.A. and Canada. This paper proposes a comparative analysis methodology with an aim to propose further improvement for the EA-based interoperability frameworks to better drive the effective development of smart and connected e-government services. In this paper, Thailand e-Government Interoperability Framework is methodically compared and analyzed with the U.S. Federal Enterprise Architecture Framework as a case study. Read More Read Less

Abstract Lack of good inter-organizational development methodology often leads to failure in establishment of interoperability platforms needed for streamlining operations among government agencies. To overcome the challenge, this paper proposes a collaborative methodology and management approach that emphasizes the establishment of strong political support from highest-level policy decision makers; well-functional inter-agency collaboration and engagement; clear future processes, data and services blueprints to... Lack of good inter-organizational development methodology often leads to failure in establishment of interoperability platforms needed for streamlining operations among government agencies. To overcome the challenge, this paper proposes a collaborative methodology and management approach that emphasizes the establishment of strong political support from highest-level policy decision makers; well-functional inter-agency collaboration and engagement; clear future processes, data and services blueprints to be achieved; and systematic project management based on the enterprise architecture concept. Development of an agriculture-related disaster relief information system (Aggie DRIS) is described as a case study to illustrate this concept. The Aggie DRIS is an information management system collaboratively developed and implemented among seven public agencies and one government bank for handling timely financial assistance to farmers suffering from natural disasters. The Aggie DRIS manages and streamlines the processes including applications submission, information validation, data cross checking, approval, transferring financial assistance to farmers bank accounts and also status tracking. Effective management of information interoperability enables data integration and better coordination among government agencies resulting in timely and reliable public services to farmers in time of natural disaster crisis. Read More Read Less

Abstract Parallel computing can makes programs run faster because there are more processors running it. It can wildly use in next generation of web which is known as Semantic Web. Semantic Web which is known as a new collaborative movement toward Web3.0 that led by the World Wide Web Consortium; aims at converting the current web of unstructured documents into a 'web... Parallel computing can makes programs run faster because there are more processors running it. It can wildly use in next generation of web which is known as Semantic Web. Semantic Web which is known as a new collaborative movement toward Web3.0 that led by the World Wide Web Consortium; aims at converting the current web of unstructured documents into a 'web of data' by using metadata. Metadata facilitates machines to understand the semantics, or meaning, of information on the World Wide Web. In this paper I tried to implement a parallel broadcast reduction method for implementing metadata in semantic webs. Read More Read Less

Abstract In order to display and observe some special data on a map,the researchers proposes a lightweight and effective Geographic Information System(GIS) over distributed environment, which can be integrated in other cloud computing system easily. The lightweight distributed geographic information system (LDGIS) acted as a service on the distributed platform. The researchers developed a Web Map Service (WMS) program conducting large... In order to display and observe some special data on a map,the researchers proposes a lightweight and effective Geographic Information System(GIS) over distributed environment, which can be integrated in other cloud computing system easily. The lightweight distributed geographic information system (LDGIS) acted as a service on the distributed platform. The researchers developed a Web Map Service (WMS) program conducting large tile file to service. The GIS provided essential functions such show maps and Data, while further options like drawing and editing are not given. The researcher will show how to construct and implement this System in this paper. Read More Read Less

Abstract In recent years, there has been a rapid increase in the interest of organizations to gain more efficiency and effectiveness in their process and to respond more appropriately to the speedy changes in the external environment using information technology. Consequently organizations are looking for software applications to integrate business practices and improve the access to real time, updated and accurate information. In... In recent years, there has been a rapid increase in the interest of organizations to gain more efficiency and effectiveness in their process and to respond more appropriately to the speedy changes in the external environment using information technology. Consequently organizations are looking for software applications to integrate business practices and improve the access to real time, updated and accurate information. In order to deal with such a changing environment organizations have turned to Enterprise Resource Planning (ERP) systems as these systems promising enormous benefits and significant improvements among which the enabling the effective information flow within the entire organization. This study evaluates the perceived value of the ERP systems from at the user level. Unlike other study which focused on other outcomes of the ERP implementation such as financial and economical revenues the study takes a further step in focusing on ERP users to see whether or not the systems deliver the expected benefits at the user level. Read More Read Less

Abstract This paper proposes an identification framework of the possible criminal offences charges based on textual criminal cases of the Civil Law system. The framework is constructed as the model, devised as a multi-stage based on the defined charges structure in criminal law codes. The first stage is to modularly identify type of action which is designed based on the offences charges... This paper proposes an identification framework of the possible criminal offences charges based on textual criminal cases of the Civil Law system. The framework is constructed as the model, devised as a multi-stage based on the defined charges structure in criminal law codes. The first stage is to modularly identify type of action which is designed based on the offences charges abstractly categorized by defined criminal elements. The second stage is to identify the additional legal elements, leading to general provisions which may affect to the sentence or amount of punishments. This classification stage is designed as multiple autonomous classification system. The integrated model is expected to be able to categorize charge type and provisional legal elements and to predict the final possible sentence and range of punishment. An evaluation aims to achieve high accuracy of classification while reserving explainable results, which is required in an application of legal domain. Read More Read Less