Information Flow Process Research Articles

Media Education in Conditions of Visual Turn: European and Russian Experience

The present article covers the study of changing of approaches to media education in the conditions of visual turn. The most relevant problems are: preparation of a human to adequate perception and processing of information flow; increasing of audience’s critical thinking; teaching a human different methods of working with information; perfecting of self-development skills in the conditions of media system that become more complicated. Certain changes have occurred in media consumption in the recent years: modern audience prefers visual content. Therefore, it is necessary to change the model of media education. The present article justifies the importance of the semiotic model of media education. Documents relating to problems of studying of the experience of formation and modern development of media education in Europe and in Russia, and documentation provided by educational institutions have become the material for the present study. The trends in media education stipulated by visual turn have been pointed out.

Robust Image Fingerprinting via Distortion-Resistant Sparse Coding

Content fingerprinting recently emerges as an effective nonintrusive solution for copyright protection. Fingerprinting algorithm maps the perceptual contents of media file to an invariant digest, so that unauthorized copies can be identified via fingerprint comparison. This letter presents a distortion-resistant sparse coding strategy for image fingerprinting that simulates the hierarchical information processing flow of visual system. Sparse coding, which seeks a small set of atoms that can best represent input signal, helps fingerprinting algorithm detect the intrinsic visual features of image. However, the high freedom of atom selection makes sparse coding sensitive to distortion. In this letter, several measures are applied on sparse coding and dictionary learning to jointly ensure the invariance of fingerprint, such as imposing the neighborhood-priority principle on atom selection, regulating the layout of atoms, and forcing sparse codes to preserve the distance in the image space. Content identification performance of the proposed work was tested on a database of 219 000 images. The error rate of the proposed algorithm is at least ten times lower than state-of-the-arts, and satisfactory performance was observed even under extremely low bit budget.

Understanding price discovery in interconnected markets: Generalized Langevin process approach and simulation

While the literature on price discovery process and information flow between dominant and satellite market is exhaustive, most studies have applied an approach that can be traced back to Hasbrouck (1995) or Gonzalo and Granger (1995). In this paper, however, we propose a Generalized Langevin process with asymmetric double-well potential function, with co-integrated time series and interconnected diffusion processes to model the information flow and price discovery process in two, a dominant and a satellite, interconnected markets. A simulated illustration of the model is also provided.

Social Network Theory and Management of the Sub-supply Network in Complex Sectors

Studies on complex product development have seen different improvement approaches to achieve shorter product development lead times and higher return on investment. Complex product development still lack on the ‘better, faster and cheaper’ paradigm for efficient communication and information exchange flow process. This paper aims at understanding how the critical interdependent techniques are managed in the sub-supply network of a complex sector such as Business Aviation Industry. Thus, the aim is to envisage the best practice approach for technical communication networks among these systems-design teams and also how the bottlenecks existing could be effectively and efficiently addressed to enhance collaborative industrial supply-chain management network competitive advantage.This paper employing social network theory propose information flow process toward enhancing an industrial sustainable competitive advantage. From a methodological point of view, the research is based on a single case study, a questionnaire was used to collect data for the level of communication network from Business Aviation supply chain network.The outcome of the research highlights how communication in the sub-supply network significantly influences the attention the teams pay to the organization of the critical interdependent techniques. Moreover this research identifies an effective and efficient communication is sees as the driver for effective organization management, which need enhancement for industrial competitive advantage. Finally, the research carried-out undoubtedly gives a considerable contribution in understanding critical and complex issues in the relationships in sub-supplying in Business Aviation Industry.The outcome could be further developed by extending the interviews to the businesses involved in the sub-supply chain.

Dependability of the information flow process at an intermodal transhipment point

Abstract A container terminal is an inherent part of intermodal transport. Dependable operation of the system on an inland terminal affects the transport of integrated units in intermodal transport. Each logistics system is a distinguished parallel flow of cargo and information. Both of these flows are dependent on each other and have an impact on the correctness of performing tasks.

Value Chain Analysis on the Logistics Management as the Basis for Strategy Formulation to Increase Customer Satisfaction (Case Study in PT.Coca-Cola Amatil Indonesia - Plant East Java)

PT. Coca-Cola Amatil Indonesia (PT. CCAI) - Plant East Java as a carbonated soft drinks manufacturer is experiencing a mismatch between planning and realization of product shipments shown by fullfilment and delivery mismatch among the company target at difotai (delivery infull ontime accurately invoice). This thing was d ue to an incompatibility among logistics management activities, so it is necessary to do value chain analysis to find out which activity is the cause of nonconformities in order to do strategy formulation improvement to enhance customer satisfaction. The purpose of this study was to determine the advantages and disadvantages of logistics management in PT.CCAI - Plant East Java and make it as one of the basis for strategy formulation to improve customer satisfaction with value chain analysis approach. This research used descriptive analytical method. The data was obtained by distributing questionnaires to the Warehouse and Transportation in PT. CCAI - Plant East Java and analysed using fuzzy AHP method. The results showed that the overall weight of the main activities in a row from the top was the activity of supply management, information flow and order processing, demand planning and operations, and transportation. Some things on the transportation activities that needed to be improved as the basis for the strategy formulation, among others, operational procedure, the carrying capacity of the facility, as well as the socialization and communication of problems and changes handling.

Implementation of Lean Tools in an Automotive Industry for Productivity Enhancement - A Case Study

Value stream mapping has the reputation of uncovering waste in manufacturing, production and business process. This helps in identifying and removing or streaming value added steps and eliminating non value added steps. In this study the process was analyzed to find an opportunity to drastically reduce the number of actions and to simplify the same. By reducing waste the proportion of value adding time increases in the whole process and the process throughput speed could also be increased. This makes the redesigned process more effective and more efficient. The reengineered process was flow charted in its future state with process steps and information flows re-engineering, simplified and economized. The current layout was analysed to identify and eliminate the non value added activities through lean tools like 5S, VSM and line balancing in a manufacturing industry. From the observed results, it was concluded that the non value added time could be reduced by about 13% while the process cycle efficiency could be increased by about 10%. Virtual simulation was conducted to verify and validate the existing situation as well as to propose the results and the effectiveness of lean principles in a systematic manner with the help of ARENA.

LWGeoWfMS: A Lightweight Geo-Workflow Management System

The disadvantage of the existing workflow systems for spatial information processing flow management is need to extend the special resource managements for the data, models and operations in geographic information systems. It increases the difficulty of development for the systems, the complexity of the architectures and the demand of hardware and software resources. To solve the problem, a light-weight Geo-workflow management system is proposed in this paper. This system has the ability to manage the resource of Geography-related fields. This solution provides a resource sharing platform for different users, designs a script-based process engine for resolving and running the workflows quickly and achieves the functions of process monitoring and traceability at the same time.

Perancangan Infografis Interaktif 2D Sebagai Media Informasi Krs Online Bagi Mahasiswa Baru Perguruan Tinggi Asia Malang

Pada awal tahun 2016 Perguruan Tinggi Asia memutuskan menggunakan sistem baru dalam proses penyusunan KRS yaitu kartu rencana studi online. Penggunaan system KRS online memiliki sedikit kendala karena sistem yang baru ini kurang sosialisasi penggunaannya sehingga masih banyak para mahasiswa yang belum mengerti dengan alur pengisian KRS online tersebut. Karena kendala dalam alur pengisian KRS Online maka dipilihlah media media infografis interaktif untuk memberikan pemahaman dan sosialisasi tentang KRS Online kepada para mahasiswa khususnya mahasiswa baru yang baru menjalani masa kuliah maka diperlukan sebuah media sebagai media informasi. Media infografis interaktif dibuat dengan penggabungan gambar, teks, video, audio dan animasi 2 dimensi. Didalam media ini terdapat 3 menu yaitu menu about berisi tentang rangkuman singkat isi dari aplikasi dan asia secara singkat, alur KRS berisi proses alur pengisian KRS Online, dan profil author berisi tentang data diri pembuat media ini. Pada media ini juga terdapat tombol exit, tombol maximaze, tombol gambar didalam alur KRS menuju halaman keterangan alur KRS dan tombol next back. Warna yang digunakan dalam media ini yaitu biru, jingga dan hitam putih disuguhkan lebih muda. Sedangkan teks yang dipakai adalah font Arial, Arial Black, Arial Rounded MT Bold, dan Arial Narrow. Melalui media infografis interaktif ini para mahasiswa khususnya para mahasiswa baru yang baru menjalani masa kuliah yang tidak mengerti dan bingung dapat memahami bagaimana alur pengisian KRS online yang masih baru dijalankan oleh Asia Malang. Berdasarkan hasil kuesioner pengujian media infografis interaktif terhadap 60 orang, maka dapat disimpulkan dengan adanya media infografis interaktif 32% mahasiswa sangat mengerti tentang alur pengisian krs online. 68% responden setuju dan cocok penggunaan media ini sebagai media informasi alur proses pengisian krs online.

Phonological Knowledge and Speech Comprehension

Comprehending speech in our native language is an impressionistically effortless and routine task. We often give little consideration to its complexity. Only in particularly challenging situations (e.g., in noisy environments, when hearing significantly accented speech) do some of these intricacies become apparent. Higher-order knowledge constrains sensory perception and has been demonstrated to play a crucial role in other domains of human language processing. Moreover, incorporating measures of brain activity during online speech comprehension has just begun to highlight the extent to which top-down information flow and predictive processes are integral to sensory perception. This review argues that our phonological system, at a relatively abstract level, is one such source of higher-order knowledge. In particular, I discuss the extent to which phonological distinctive features play a role in perception and predictive processing during speech comprehension with reference to behavioral and neurophysiological data. This line of research represents a tractable linking of linguistic theory with models of perception and speech comprehension in the brain.

Leveraging Customer Involvement for Fueling Innovation: The Role of Relational and Analytical Information Processing Capabilities

How do IT-enabled capabilities influence firms’ ability to leverage customer involvement and shape the amount of firm innovation? This study theorizes that effective processing and management of customer information flows requires organizations to posses

Analysis and design on airport safety information management system

Airport safety information management system is the foundation of implementing safety operation, risk control, safety performance monitor, and safety management decision for the airport. The paper puts forward the architecture of airport safety information management system based on B/S model, focuses on safety information processing flow, designs the functional modules and proposes the supporting conditions for system operation. The system construction is helpful to perfecting the long effect mechanism driven by safety information, continually increasing airport safety management level and control proficiency．

Inventory and Awareness on Land Use Management Policies in Southern Leyte, Philippines

Current problems in land degradation throughout the country are serious manifestations of improper land use. This study sought to inventory national laws and local ordinances related to land use management; determine the sources and the process of information flow of policies from the Local Government Units (LGU) to the people in the community; assess the awareness and acceptability of enacted ordinances; and recommend policies for appropriate action by Southern Leyte local government units. The Internet is the source of downloaded secondary data on environmental laws and the survey questionnaire and conversational interviews conducted produced the primary data. There were 17 national laws and seven ordinances inventoried in this study. Respondents had the highest awareness (53.33 %) on RA 9003 (Solid Waste Management Act); 52.00% for RA 3844 (An Act to Ordain the Agricultural Reform Code and to Institute Land Reforms in the Philippines) and RA 7907 (An amendment of RA 3844); the rest of the laws had below 50% awareness level. Moreover, the respondents got the highest awareness (54.67%) on Ordinance No. 2007-04, a regulation for the taking, removal and disposition of quarry resources while the rest had below 50% level. Further study to determine enforceability and impacts of the different environmental laws for environmental protection and conservation is recommended.

Identifying waste in virtual design and construction practice from a Lean Thinking perspective: A meta-analysis of the literature

In recent years, the Architecture, Engineering, and Construction (AEC) industry has broadly expanded the use of Virtual Design and Construction (VDC),particularly Lean Construction methods, to deliver value to their customers. VDC includes the use of Production Management using Lean methods as an integral part of the defining theory and method, and multiple case studies have concluded that the greatest performance improvement is achieved by implementing both initiatives together. This paper reviews extensive literature of VDC and Lean Construction with the intent to show benefits in the application of Lean Construction in the actual practice of VDC and to provide examples of waste and opportunities for improvement in projects if Lean methods are applied. This study found that use of Lean methods can help to reduce waste within the VDC process, in the phase of information flow (process view). Specifically, our main finding from this study was that only five types of waste represent 80% of the referenced occurrence of waste in VDC processes, which suggests that if teams use Lean Methods and focus on elimination of these types of waste (i.e., motion (excess), inventory (excess), overproduction, waiting and employee knowledge (unused)), teams can improve VDC practices dramatically.

Static vs Adapted Optimal Execution Strategies in Two Benchmark Trading Models

We consider the optimal solutions to the trade execution problem in the two different classes of i) fully adapted or adaptive and ii) deterministic or static strategies, comparing them. We do this in two different benchmark models. The first model is a discrete time framework with an information flow process, dealing with both permanent and temporary impact, minimizing the expected cost of the trade. The second model is a continuous time framework where the objective function is the sum of the expected cost and a value at risk (or expected shortfall) type risk criterion. Optimal adapted solutions are known in both frameworks from the original works of Bertsimas and Lo (1998) and Gatheral and Schied (2011). In this paper we derive the optimal static strategies for both benchmark models and we study quantitatively the improvement in optimality when moving from static strategies to fully adapted ones. We conclude that, in the benchmark models we study, the difference is not relevant, except for extreme unrealistic cases for the model or impact parameters. This indirectly confirms that in the similar framework of Almgren and Chriss (2000) one is fine deriving a static optimal solution, as done by those authors, as opposed to a fully adapted one, since the static solution happens to be tractable and known in closed form.

APPLIED KNOWLEDGE MANAGEMENT IN SMALL DESIGN FIRMS: CASE STUDY

Knowledge is the new strategic imperative of organizations. The ability to manage knowledge is a crucial part of any organizations operational processes. The creation and diffusion of knowledge have become ever more important factors in competitiveness. This paper investigates the Knowledge Management and flow information and in small design firms. It is divided into three main parts. The first part of this paper describes the importance of Knowledge Management for organizations are described together with responsibilities needed to ensure successful Knowledge Management implementations and the Spiral of Organizational Knowledge Creation conception. The second part approaches literature available about process and organizational structure and information flow related to Brazilian design firms. Finally, this paper presents a case study of small design office of Civil Engineering identifying organizational process, verifying the types of communication practices and identifying the types of dynamic process of The Spiral of Organizational Knowledge Creation, KM strategy and dynamic through Knowledge Transfer.

Digital Management Mechanism of Sudden Geological Disaster Emergency Plan

Digital emergency plan is an important part of the emergency platform. This paper proceeds as follow. Firstly, it presents the key technologies of digital emergency plan, emphasizing feature extraction, multi-source information fusion and GIS technology. And then the processes of the geological disaster emergency plan are discussed based on the “The national sudden geological disaster emergency plan” for guideline, including regional geological disaster warning information response process and single geological disaster emergency response information flow, . Moreover, the digital prototype system is designed, including the framework of geological disaster emergency plan of the overall structure, database and function modules. Finally, based on MapGIS platform, B/S mode, using Flex, Flash Builder technology, it developed the prototype system for experiment.

Knowledge Provenance Management System for a Dropwise Additive Manufacturing System for Pharmaceutical Products

The Knowledge Provenance Management System, KProMS, can capture the complete provenance of the data, information, and knowledge of a structured activity by modeling the details of the associated data generation steps of that activity as workflows. Its unique workflow representation captures relationships between the processing steps, material and information flows, and data input and output. In this paper, we demonstrate the use of KProMS to manage and analyze the experimental data of an innovative system for manufacturing drug products using dropwise additive manufacturing. Dropwise additive manufacturing of pharmaceutical products (DAMPP) uses drop on demand printing technology for depositing various drug formulations onto edible substrates. DAMPP requires and generates a range of data types, including camera and IR images, spectra, and numerical parameter values, both of real-time and off-line natures, and thus provide a rich illustration of KProMS capabilities to serve as knowledge management framework.

Investigation of system structure and information processing mechanism for cognitive skywave over-the-horizon radar

Based on the cognitive radar concept and the basic connotation of cognitive skywave over-the-horizon radar (SWOTHR), the system structure and information processing mechanism about cognitive SWOTHR are researched. Among them, the hybrid network system architecture which is the distributed configuration combining with the centralized cognition and its soft/hardware framework with the sense-detection integration are proposed, and the information processing frame based on the lens principle and its information processing flow with receive-transmit joint adaption are designed, which build and parse the work law for cognition and its self feedback adjustment with the lens focus model and five stages information processing sequence. After that, the system simulation and the performance analysis and comparison are provided, which initially proves the rationality and advantages of the proposed ideas. Finally, four important development ideas of future SWOTHR toward “high frequency intelligence information processing system” are discussed, which are scene information fusion, dynamic reconfigurable system, hierarchical and modular design, and sustainable development. Then the conclusion that the cognitive SWOTHR can cause the performance improvement is gotten.

Distributed processing of big mobility data as spatio-temporal data streams

Recent rapid development of wireless communication, mobile computing, global navigation satellite systems (GNSS), and spatially enabled sensors are leading to an exponential growth of available mobility data produced continuously at high speed. Due to these advancements, a new class of monitoring applications has come to the focus, including real-time intelligent transportation systems, traffic monitoring and mobile objects tracking. These new information flow processing (IFP) application domains need to process huge volume of mobility data arriving in the form of continuous data streams from mobile objects. IFP applications are pushing traditional database technologies beyond their limits due to their massively increasing data volumes and demands for real-time processing. Mobility data, i.e. real-time, transient, time-varying sequences of spatio-temporal data items, generated by embedded positioning sensors demonstrates at least two Big Data core features: volume and velocity. Existing distributed data stream management systems (DSMS), real-time computing systems (RTCS) and their processing models are dominantly based on relational paradigm and continuous operator model. Thus, they have rudimentary spatio-temporal capabilities, provide expensive fault recovery requiring either hot replication or long recovery times, and do not handle faults and slow nodes. The framework proposed in this paper is a cornerstone towards efficient real-time managing and monitoring of mobile objects through distributed spatio-temporal streams processing on large clusters. A prototype implementation is rooted in a new stream processing model that overcomes the challenges of current distributed stream processing models and enable seamless integration with batch and interactive processing like MapReduce.