• 디지털산업정보학회논문지
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• 제11권4호
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• pp.1-12
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• 2015

This research analyzes the current state of the semiconductor industry delivering the prediction for the future development of the semiconductor industry along with some semiconductor memory's responsive strategies. In the 2014, top 10 semiconductor companies were targeted and studied its growth based on its profitability and growth indications in perspective during three years. The system semiconductor industry with the increase in Hyper-scale customers, proactive actions in the technology consortium, is polarizing caused by increased R&D expense to ensure process scaling limits and high performance, and some results have shown: PC and Mobile slowdown and growth recession phenomenon due to IoT's unclear direction. The leading company is to secure new growth engines through 'Acquiring'. While as the subordinated companies following this consecutive survival through the 'Acquired', the future of system semiconductor industry is to strengthen the market dominance and its techniques by concentrating on the reorganization of the market by few large companies. Accordingly, the semiconductor memory industry is expected to reach the limit of its expansion to domain of system semiconductor, and it is highly suggesting the need of the 'Memory Life Extension' growth strategy.

• Industrial Engineering and Management Systems
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• 제9권3호
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• pp.227-241
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• 2010

A memory module industry's supply chain usually consists of multiple manufacturing sites and multiple distribution centers. In order to fulfill the variety of demands from downstream customers, production planners need not only to decide the order allocation among multiple manufacturing sites but also to consider memory module industrial characteristics and supply chain constraints, such as multiple material substitution relationships, capacity, and transportation lead time, fluctuation of component purchasing prices and available supply quantities of critical materials (e.g., DRAM, chip), based on human experience. In this research, a directed graph-based supply network planning (DGSNP) model is developed for memory module industry. In addition to multi-site order allocation, the DGSNP model explicitly considers production planning for each manufacturing site, and purchasing planning from each supplier. First, the research formulates the supply network's structure and constraints in a directed-graph form. Then, a proposed genetic algorithm (GA) solves the matrix form which is transformed from the directed-graph model. Finally, the final matrix, with a calculated maximum profit, can be transformed back to a directed-graph based supply network plan as a reference for planners. The results of the illustrative experiments show that the DGSNP model, compared to current memory module industry practices, determines a convincing supply network planning solution, as measured by total profit.

• 한국멀티미디어학회논문지
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• 제21권4호
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• pp.527-534
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• 2018

As the speed and extent of the expansion of the retro culture continue to expand, interest in industrial values related to it as well as a cultural phenomenon is also increasing. Under these circumstances it is meaningful that the planning of movies using cultural memory can increase the possibility of continuous development of retro contents. In this article, I will look at the possibilities of retro film using cultural memory and the memory industry. The purpose of this research is to find creative and sustainable content production methods.

• 한국콘텐츠학회논문지
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• 제9권2호
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• pp.163-172
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• 2009

문화콘텐츠가 문화산업의 중심으로 부상하면서, 콘텐츠와 이를 활용한 문화산업에 대한 관심이 어느 때 보다 높다. 문화는 기억을 중심으로 이루어지며, 기억을 배제한 문화란 존재할 수 없다. 기억은 개인의 차원을 넘어 집단적, 사회적 기억으로 작용한다. 또한 문화는 기억을 담지할 매체를 필연적으로 요구하는데, 최근의 영상텍스트는 새로운 기억매체로서 주목받고 있다. 이러한 점에서 이 논문은 사회 문화적 기억으로서 '기억'의 의미를 탐색해 보고, 중국 6세대 영화를 중심으로 사회 문화적 기억과 그것을 담지해내는 영상텍스트의 기억복원의 의미를 분석하는 데 초점을 두었다. 또한 '대항기억'으로서 '개인기억'의 문화적 의의를 탐색하고, 이를 통해 기억산업과 콘텐츠의 접합 가능성을 찾아보는 시도를 모색했다. 6세대 영화를 주목한 이유는 중국 당국이 제시하는 '공식기억'에 대항하며 '지하'에서 만들어졌던 이들 영화가 국제적인 영화제에서 괄목한 만한 성과를 획득해 나가고 있기 때문이다.

• 디지털산업정보학회논문지
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• 제5권4호
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• pp.169-177
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• 2009

In come cases, people differently respond on the same joke or thoughtless behavior - sometimes like it and laugh, another time feel annoyed or angry. This fact is explained that experiences which we had in the past are remembered by emotional memory, so they cause different responses. When people face similar situation or feel similar emotion, they evoke the emotion experienced in the past and the emotional memory affects current emotion. This paper suggested the mechanism of the emotional memory using SOM through the similarity between the emotional memory and SOM learning algorithm. It was assumed that the mechanism of the emotional memory has also the characteristics of association memory, long-term memory and short-term memory in its process of remembering emotional experience, which are known as the characteristics of the process of remembering factual experience. And then these characteristics were applied. The mechanism of the emotional memory designed like this was applied to toy hammer game and I measured the change in the power of toy hammer caused by differently responding on the same stimulus. The mechanism of the emotional memory suggest in above is expected to apply to the fields of game, robot engineering, because the mechanism can express various emotions on the same stimulus.

• 한국산업융합학회 논문집
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• 제24권5호
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• pp.531-536
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• 2021

As artificial intelligence technology advances, it is being applied to various application fields. Artificial intelligence is performing well in the field of image recognition and classification. Chip design specialized in this field is also actively being studied. Artificial intelligence-specific chips are designed to provide optimal performance for the applications. At the design task, memory component optimization is becoming an important issue. In this study, the optimal algorithm for the memory size exploration is presented, and the optimal memory size is becoming as a important factor in providing a proper design that meets the requirements of performance, cost, and power consumption.

• 한국산업융합학회 논문집
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• 제24권1호
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• pp.69-77
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• 2021

The widely used low-cost design methodology for IoT devices is very popular. In such a networked device, memory is composed of flash memory, SRAM, DRAM, etc., and because it processes a large amount of data, memory design is an important factor for system performance. Therefore, each device selects optimized design factors such as function, performance and cost according to market demand. The design of a memory architecture available for low-cost IoT devices is very limited with the configuration of SRAM, flash memory, and DRAM. In order to process as much data as possible in the same space, an architecture that supports parallel processing units is usually provided. Such parallel architecture is a design method that provides high performance at low cost. However, it needs precise software techniques for instruction and data mapping on the parallel architecture. This paper proposes an instruction/data mapping method to support optimized parallel processing performance. The proposed method optimizes system performance by actively using hardware and software parallelism.

• 디지털산업정보학회논문지
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• 제5권4호
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• pp.19-26
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• 2009

Recently, the Main Memory DBMS is gradually being expanded by the appearance of a large capacity of a Main Memory System, the increase in business area where it requires a real time process, and the rise of the users' required level. The Main Memory DBMS, which is able to go through a large capacity data process of the disk-based DBMS and guarantees a high efficiency, has domestically developed and has been put to a practical use. This paper presents an examination of the applied technologies and the limits of Altibase system, which is Main Memory DBMS. Moreover, it evaluated and performed a comparative analysis on the performance level of the Main Memory DBMS and the disk-based DBMS based on the same application. After five trials of the experiment based on the operating application, it was confirmed that the performance level of the Main Memory DBMS is enhanced and is higher by 4.13 to 7.89 times than the disk-based DBMS.

• 디지털산업정보학회논문지
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• 제5권3호
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• pp.59-67
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• 2009

This paper proposes a improved bitmap routing protocol, which finds the best energy efficient routing path by minimizing the network overheads and prolongs the overall network lifetime. Jung proposed a bitmap scheme for sensor networks. His scheme uses a bitmap table to represent the connection information between nodes. However, it has a problem that the table size is depends on the number of nodes in the sensor networks. The problem is very serious in the sensor node with a limited memory. Thereby, this paper proposes a improved bitmap routing protocol to solve the problem in Jung's scheme. Proposed protocol over the memory restricted sensor network could optimize the size of bitmap table by applying the deployed network property. Proposed protocol could be used in the diversity of sensor networks due to it has minimum memory overheads.

• 대한본초학회지
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• 제35권5호
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• pp.33-39
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• 2020

Objectives : Increasing evidence supports the biological and pharmacological activities of essential oils on the central nervous system such as pain, anxiety, attention, arousal, relaxation, sedation and learning and memory. The purpose of present work is to investigate the protective effect and molecular mechanism of cypress essential oil (CEO) against scopolamine (SCO)-induced cognitive impairments in C57BL/6 mice. Methods : A series of behavior tests such as Morris water maze, passive avoidance, and fear conditioning tests were conducted to monitor learning and memory functions. Immunoblotting and RT-PCR were also performed in the hippocampal tissue to determine the underlying mechanism of CEO. Results : SCO induced cognitive impairments as assessed by decreased step-through latency in passive avoidance test, relatively low freezing time in fear conditioning test, and increased time spent to find the hidden platform in Morris water maze test. Conversely, CEO inhalation significantly reversed the SCO-induced cognitive impairments in C57BL/6 mice comparable to control levels. To elucidate the molecular mechanisms of memory enhancing effect of CEO we have examined the expression of brain-derived neurotrophic factor (BDNF) in the hippocampus. CEO effectively elevated the protein as well as mRNA expression of BDNF via activation of cAMP response element binding protein (CREB). Conclusions : Our findings suggest that CEO inhalation effectively restored the SCO-impaired cognitive functions in C56BL/6 mice. This learning and memory enhancing effect of CEO was partly mediated by up-regulation of BDNF via activation of CREB.