• The KIPS Transactions:PartA
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• v.13A no.3 s.100
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• pp.261-266
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• 2006

Priority queues can be used in applications such as scheduling, sorting, and shortest path network problem. Fibonacci heap, pairing heap, and M-heap are priority queues based on pointers. This paper proposes a modified M-heap with an way representation, called MA-heap, that resolves the problem mentioned in [1]. The MA-heap takes O(1) amortized time and O(logn) time to insert an element and delete the max/min element, respectively. These time complexities are the same as those of the M-heap. In addition, it is much easier to implement an MA-heap than a heap proposed in [5] since it is based on the simple traditional heap.

• The KIPS Transactions:PartA
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• v.11A no.3
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• pp.213-216
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• 2004

Proirity queues(PQ) can be used in applications such as scheduling or sorting. The data structures for PQ can be constructed with or without pointers. The implicit representation without pointers uses less memory space than pointer-based representation. It if shown that a 2-heap, a traditional Implicit PQ based on a binary tree, is slower than an f-heap based on a 8-ary tree. This is because 8-heap utilizes cache memory more efficiently This paper presents a novel fast implicit heap called 8-heap＊ which is easier to implement. Experimental results show that the 8-heap＊ is faster than 8-heap as well as 2-heap.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.406-408
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• 2015

힙(heap) 영역은 데이터 또는 코드가 동적으로 할당되는 영역이다. 따라서 heap 영역에 악성코드가 할당되면, 바이러스 백신이 탐지하거나, 분석하기가 어려워진다. Heap 영역의 코드가 실행될 경우, 사용자의 허가를 받지 않은 동작을 수행하여 사용자에게 피해를 끼칠 수 있다. 본 논문에서는 여러 가지 툴을 이용하여 heap 영역의 코드를 정적 스캔하는 방법을 제시한다,

• Resources Recycling
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• v.7 no.5
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• pp.3-12
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• 1998

The most recent research in precious metal processing is found in the increasing use of heap leaching for the extraction of gold from low grade ores and tailing dumps because heap leaching has several advantages compared to traditional milling. They include simplicity, lower capital and operating costs, faster starter-up time and environmental safety. In this paper, an attempt has been made to provide an overview of important factors involved in the implementation of heap leaching technology as a vehicle for gold extraction from its low grade ores. Brief discussions of the various important elements to this process has been made to ascertain the heap leaching characteristics, such as heap leaching chemistry, natural factors, ore preparation, heap and pad construction, solution collection system, pond system, metal extraction, and economical consideration.

• The KIPS Transactions:PartA
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• v.17A no.4
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• pp.167-172
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• 2010

This paper proposes a set of runtime test models for priority queues and shows the runtime test results based on the proposed test models for the representative priority queues: the traditional heap, post-order heap, and pairing heap. Among these heaps, the traditional heap is the worst in time complexity analyzed. But, according to our experimental results based on the test models proposed, it is shown that the slowest one is the pairing heap that utilizes pointers and the fastest one is the traditional heap. For the two implicit heaps, these results are in contrary to the fact that the post-order heap is better than the traditional heap in time complexity analyzed.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.254-256
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• 2000

본 논문에서는 여러 단계의 QoS(Quality of Service)를 지원하면서 빠르고 확장이 용이하며 각종 패킷 폐기(packet drop) 방식을 지원하는 평형 파이프라인 우선순위 아웃풋 큐 구조(balanced pipelined priority output queue architecture)를 제시하고 있다. 본 방안은 기존에 연구된 파이프라인 우선순위 힙(pipelined heap, P-heap)[1]을 기반으로 하고 있다. 파이프라인 우선순휘 힙은 우선순위에 따라 패킷을 전송하는 작업을 파이프라인 방식으로 처리하여 처리 성능을 향상시킨 아웃풋 큐 구조이다. 그러나 P-heap은 평형성(balance) 문제를 전혀 고려하고 있지 않으며, 다양한 패킷 폐기 방안을 제공하고 있지 못하다. 본 논문에서는 이런 측면에서 P-heap을 개선한 Advanced P-heap을 제안하고 있다. Advanced P-heap은 평균적인 상황에서 힙에 평형성을 부여하고, 각종 패킷 폐기 정책을 지원할 수 있는 일반적인 우선순위별 차별 패킷 구조를 제시하고 있다.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.12
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• pp.289-294
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• 2018

This paper proposes an implicit d-ary priority queue, called AM(d)-heap that is a generalized version of AM-heap, in which insert operation takes constant amortized time and remove operation takes O(logn) time. According to our experimental results, the best performance was shown when d is 4 or 8. Also, AM(d)-heap is about 1.5~1.8 times faster than the postorder heap.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.5_6
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• pp.250-257
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• 2003

As the memory access time becomes slower relative to the fast processor speed, most systems use cache memory to reduce the gap. The cache performance has an increasingly large impact on the performance of algorithms. Blocking is the well known method to utilize cache and has shown good results in multiplying matrices and search trees like d-heap. But if we use blocking in the data structures which require rotation during insertion or deletion, the execution time increases as the data movements between blocks are necessary. In this paper, we have proposed the extended pairing heap algorithms using block node and shown by experiments that our structure is superior Also in case of using block node, we use less memory space as the number of pointers decreases.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.580-582
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• 2001

VLSI 기술의 발전에 따라 프로세서의 속도는 빠르게 증가하고 있는 반면 메모리의 속도는 이를 뒷받침하지 못하여 속도의 차이를 줄이기 위해 캐쉬(cache) 메모리를 사용하고 있다. 캐쉬가 알고리즘의 실행시간에 미치는 영향이 점점 더 커지고 있으나 이제가지 개발된 대부분의 알고리즘들은 이러한 캐쉬의 중요성을 고려하지 않고 개발되었다. 본 논문에서는 캐쉬 효과를 고려한 확장된 Pairing Heap 알고리즘에 관해 연구하였고, 실험을 통하여 기존의 Pairing Heap 알고리즘과 제안된 알고리즘의 성능을 비교하였다.

• Journal of the Korea Society for Simulation
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• v.19 no.4
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• pp.281-289
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• 2010

Recently the intelligent agent systems have been emerged as one of key issues for developing the defense M&S systems. However, most conventional agent architecture of M&S systems utilize the script-based models and can only deal with the individual behaviors so that they cannot suitably describe the precise tactical/strategic behavior and/or complex warfare environment. To overcome these problems, we have proposed the HEAP(Hierarchical Encapsulation and Abstraction Principle)-based hierarchical multi-agent system architecture that is able to intelligently cope with the complex missions based on the functional role of each agent on the hierarchy such as an intelligence officer, captain, commander.