• Title/Summary/Keyword: Memory Knowledge

Search Result 272, Processing Time 0.023 seconds

Korean Innovation Model, Revisited

  • Choi, Youngrak
    • STI Policy Review
    • /
    • v.1 no.1
    • /
    • pp.93-109
    • /
    • 2010
  • Over the last decade, some Korean enterprises have emerged to become global players in their specialized products. How have they achieved such tremendous technological progress in a short period of time? This paper explores that question by examining the characteristics of technological innovation activities at major Korean enterprises. The paper begins with a brief review of the stages of economic growth and science and technology development in Korea. Then, the existing literature, explaining the Korean innovation model, is analyzed in order to establish a new framework for the Korean innovation model. Specifically, Korean firms have experienced three sequential phases, and thus, the Korean model, at the firm level, can be coined as "path-following," "path-revealing," and "path-creating." Then, the stylized facts in the first phase (path-following) and the second phase (path-revealing) are discussed, in the context of empirical evidence from the areas of memory chips, automobiles, shipbuilding, and steel. In terms of technology development, the Korean model has evolved as "collective learning" in the first phase, "collective recombination" of existing knowledge and technology in the second phase, and is assumed as "collective creativity" in the third phase. Ultimately, all three can be classified as "collective creation". Korean firms now face a transition in the modes of technological innovation in order to efficiently implement the third phase. To achieve remarkable progress again, as they did in the past, and to sustain the growth momentum, Korean firms should challenge new dimensions such as creative technological ideas, distinctive technological capabilities, and unique innovation systems -- all of which connote 'uniqueness'. Finally, some lessons from the Korean technological innovation experience are addressed.

Streaming RFID: Robust Stream Transmission over Passive RFID

  • Hwang, Seok-Joong;Han, Young-Sun;Kim, Seon-Wook;Kim, Jong-Ok
    • ETRI Journal
    • /
    • v.33 no.3
    • /
    • pp.382-392
    • /
    • 2011
  • This paper proposes the streaming radio frequency identification (RFID) protocol to support robust data streaming in a passive communication, which is extended from the ISO18000-6 Type C RFID standard. By observing and modeling the unique bit error behavior through detailed analysis in this paper, we found that performance is significantly limited by inaccurate and unstable link frequencies as well as low SNR which are inevitable for passive devices. Based on the analysis, we propose a simple and efficient protocol to adaptively insert extra error control sequences in a packet for tolerating tough link condition while maximizing the throughput and preserving the minimal implementation cost. To evaluate effectiveness of our proposal in real-time streaming applications, we experimented on real-time H.264 video streaming and prototyped the system on FPGA. To our best knowledge, our paper is the first work to take analytical approach for maximizing the throughput and demonstrate the possibility of the realtime multimedia streaming transmission in the passive RFID system.

AndroScope: An Insightful Performance Analyzer for All Software Layers of the Android-Based Systems

  • Cho, Myeongjin;Lee, Ho Jin;Kim, Minseong;Kim, Seon Wook
    • ETRI Journal
    • /
    • v.35 no.2
    • /
    • pp.259-269
    • /
    • 2013
  • Android has become the most popular platform for mobile devices. However, Android still has critical performance issues, such as "application not responding" errors and hiccups resulting from garbage collection. Many phone vendors have tried to resolve the problems by characterizing and improving the performance. However, there are few insightful performance analysis tools for the Android-based systems. This paper presents AndroScope, which is a performance analysis tool for both the Android platform (Dalvik virtual machine, core libraries, Android libraries, and even Linux kernels) and its applications. To the best of our knowledge, this is the first tool to collect and analyze performance data from all the software layers of the Android-based systems. AndroScope offers a trace mechanism to collect such deep and wide performance data as hardware performance counters, time, and memory usage. In addition, the tool includes TraceBridge, which is a middleware for the fast handling of mass logs. Moreover, AndroScope offers an integrated graphical user interface with the Android software development kit to display a great volume of the detailed performance data.

Mediating Effect of Meta-cognition between Locus of Control and Self-efficacy

  • Chae, Heeseong;Hahm, Sangwoo
    • International Journal of Advanced Culture Technology
    • /
    • v.6 no.1
    • /
    • pp.8-14
    • /
    • 2018
  • Meta-cognition is the knowledge and cognition of cognitive phenomena, including the control of ones own memory, comprehension, and thought processes. Meta-cognition is similar to self-awareness, which is the understanding of oneself, and affects people's attitudes and behaviors. This study demonstrated the mediating effect of meta-cognition between internal locus of control and self-efficacy. Internal locus of control refers to the steady faith that any outcome is related to one's own efforts. Self-efficacy is a collection of personal strong belief that one individual can achieve his or her own goals. In this study, if a person has a tendency to adopt an internal locus of control, meta-cognition is improved, and self-efficacy can in turn be increased if meta-cognition is improved. This study conducted an empirical analysis through questionnaires conducted on 260 university students. The results of the research demonstrated that there is a highly positive correlation between meta-cognition, control position, and self-efficacy. In addition, this study emphasized that positive meta-cognition with internal locus of control can lead to positive attitudes and behaviors, and positive results.

A Study on the Meanning and Characteristic of Schema in the Thinking of Architectural Design - with Kant's Epistemology (건축디자인 사고에서 스키마의 의미와 특성에 관한 연구 - 칸트의 인식론적 관점에서 -)

  • Oh Sin-Wook;Cho Yong-Soo
    • Korean Institute of Interior Design Journal
    • /
    • v.14 no.3 s.50
    • /
    • pp.122-129
    • /
    • 2005
  • The purpose of this study aims at the development of architectural design thinking which has been studied in the Kant's Epistemology to examine the Schema theories. In this point of view, the related theories are reviewed through Expression Form, representation of architectural knowledge and so on. One of these words, the Schema that formed by transcendental an Experience and Memory of transcendental an Experience, not only Play an important Part in the designer's thinking system about a specific problem but also appeared by distinctive features(image) and included by connotation as like a designer's ideology. Speaking briefly, thinking of a designer familiar with us as abstract confusion can be confined such methodological tools as schema, and image, etc., which we can easily understand the relationship among them through mechanism of Kant's [Concept-Schema-Intuition]. Evidences collected from case studies and its application on architectural design yield following results. First, design thinking can be defined as Kant's Epistemology composed of the schema and its extended factors(architectural-schema). Second, design thinking can be revealed different characteristics depending on the degree of the schema and architectural-schema. Lastly, the methodology will be proposed after application of the result to architects' works.

Development of a Controller for Polishing Robot Attached to Machining Center and Its Performance Evaluation

  • Go, Seok-Jo;Lee, Min-Cheol
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1998.10a
    • /
    • pp.346-351
    • /
    • 1998
  • Cutting process has been automated due to progress of CNC and CAD/CAM, but polishing process has been only depended on experiential knowledge of expert. Polishing work for a curved surface die demands simple and repetitive operations but requires much time for its high precision. Therefore it is operated in the handiwork by skilled worker. However the workers intend to avoid gradually polishing work because of the poor environments such as dust and noise. In order to reduce the polishing time and solve the problem of shortage of skilled workers, it has been done some research for an automation of polishing. To automate the polishing process, a 2 axes polishing robot which is attached to a 3 axes machining center has been developed by our previous research. This automatic polishing robot is able to keep the polishing tool normal on the curved surface of die. Therefore its performance of polishing is improved because of always keeping the tool normal on the surface. In this paper, the smaller sized polishing robot is developed to improve polishing performance. And the controller for 2 axes polishing robot is developed. The controller is composed of TMS320C31 with high speed which is 40-ns instruction cycle time, RAM memory with 64K words, digital input with 64 bits, digital output with 32 bits, and D/A converter with 4 channels, which is 12 bits resolution. To evaluate polishing performance of this developed robot, polishing experiment for shadow mask was carried out.

  • PDF

Long-term Preservation of Digital Heritage: Building a National Strategy (디지털유산의 장기적 보존: 국가정책 수립을 위한 제안)

  • Lee, Soo Yeon
    • The Korean Journal of Archival Studies
    • /
    • no.10
    • /
    • pp.27-62
    • /
    • 2004
  • As the penetration of information technology into everyday life is accelerated day by day, virtually all kinds of human representation of knowledge and arts are produced and distributed in the digital form. It is problematic, however, because digital objects are so volatile that it is not easy to keep them in fixed form. The fatal fragility makes it extremely tricky to preserve the digital heritage of our time for the next generation. The present paper aims to introduce current endeavors made at the international and the national levels and to provide with suggestions for Korean national strategy of digital preservation. It starts with reviewing the global trends of digital archiving and long-term preservation, focusing on standardization, preservation strategies and current experiments and projects being conducted for preserving various digital objects. It then sketches national strategies of several leading countries. Based on the sketch, twofold suggestions for Korean national strategy are proposed: establishing a central coordinating agency and accommodating the digital preservation issue in the legislative and regulatory framework for the information society. The paper concludes with the necessity of cooperation among heritage organizations, including libraries, archives, museums. They should cooperate with each other because they have traditionally been trusted with the custodianship of collective memory of humankind and the digital heritage cannot be passed onto the next generation without their endeavor. They should also work together because any single institution, or any single nation could cover what it takes to complete the task of long-term preservation of our digital heritage.

A Deep Learning Model for Extracting Consumer Sentiments using Recurrent Neural Network Techniques

  • Ranjan, Roop;Daniel, AK
    • International Journal of Computer Science & Network Security
    • /
    • v.21 no.8
    • /
    • pp.238-246
    • /
    • 2021
  • The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.

Consciousness, Cognition and Neural Networks in the Brain: Advances and Perspectives in Neuroscience

  • Muhammad Saleem;Muhammad Hamid
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.2
    • /
    • pp.47-54
    • /
    • 2023
  • This article reviews recent advances and perspectives in neuroscience related to consciousness, cognition, and neural networks in the brain. The neural mechanisms underlying cognitive processes, such as perception, attention, memory, and decision-making, are explored. The article also examines how these processes give rise to our experience of consciousness. The implications of these findings for our understanding of the brain and its functions are presented, as well as potential applications of this knowledge in fields such as medicine, psychology, and artificial intelligence. Additionally, the article explores the concept of a quantum viewpoint concerning consciousness, cognition, and creativity and how incorporating DNA as a key element could reconcile classical and quantum perspectives on human behaviour, consciousness, and cognition, as explained by genomic psychological theory. Furthermore, the article explains how the human brain processes external stimuli through the sensory nervous system and how it can be simulated using an artificial neural network (ANN) consisting of one input layer, multiple hidden layers, and an output layer. The law of learning is also discussed, explaining how ANNs work and how the modification of weight values affects the output and input values. The article concludes with a discussion of future research directions in this field, highlighting the potential for further discoveries and advancements in our understanding of the brain and its functions.

Portable multi-channel analyzer for embedded gamma radiation in an ARM Cortex-M7 MCU

  • Angel Garcia-Durana;Antonio Baltazar-Raigosa;Carina Oliva Torres-Cortes;Claudia Angelica Marquez-Mata
    • Nuclear Engineering and Technology
    • /
    • v.56 no.5
    • /
    • pp.1836-1844
    • /
    • 2024
  • The use of digital systems in radiation science has been increased last years in the different knowledge areas, as a detectors, spectrometry, spectroscopy, simulation, etc. This manuscript presents the design and implementation of a low-cost, fully portable multi-channel analyzer for nuclear spectrometry (in situ). The development is based on a 32-bit microcontroller with ARM Cortex-M7, this design is able to digitize and analyze pulses from a radiation detector without the need to transform the input signal with some filter, obtains the maximum height of each of the digitized pulses, segmenting the information into channels to form a histogram and visualizing the LCD screen incorporated in the system. A continuous digitization methodology was used, which is in charge of the DMA and an ADC with a resolution of 12 bits at a speed of 3.6 MSPS. The system has a compact design and can open and save spectra in an SD memory built into the system. The MCA in MCU was tested with a NaI(Tl) Scintillation radiation detector, which allowed us to determine that the spectra obtained are similar compared to commercial MCA's. The results obtained show that the MCA in MCU is efficient for nuclear spectrometry, in addition to being very economical and low power consumption.