Dear Colleague:

We are pleased to announce the release of a new issue of Journal of Computing Science and Engineering (JCSE), published by the Korean Institute of Information Scientists and Engineers (KIISE). KIISE is the largest organization for computer scientists in Korea with over 4,000 active members.

Journal of Computing Science and Engineering (JCSE) is a peer-reviewed quarterly journal that publishes high-quality papers on all aspects of computing science and engineering. JCSE aims to foster communication between academia and industry within the rapidly evolving field of Computing Science and Engineering. The journal is intended to promote problem-oriented research that fuses academic and industrial expertise. The journal focuses on emerging computer and information technologies including, but not limited to, embedded computing, ubiquitous computing, convergence computing, green computing, smart and intelligent computing, and human computing. JCSE publishes original research contributions, surveys, and experimental studies with scientific advances.

Please take a look at our new issue posted at http://jcse.kiise.org. All the papers can be downloaded from the Web page.

The contents of the latest issue of Journal of Computing Science and Engineering (JCSE)

Official Publication of the Korean Institute of Information Scientists and Engineers

Volume 15, Number 3, September 2021

pISSN: 1976-4677

eISSN: 2093-8020

* JCSE web page: http://jcse.kiise.org

* e-submission: http://mc.manuscriptcentral.com/jcse

Editor in Chief: Insup Lee (University of Pennsylvania)

Il-Yeol Song (Drexel University)

Jong C. Park (KAIST)

Taewhan Kim (Seoul National University)

JCSE, vol. 15, no. 3, September 2021

[Paper One]

- Title: Collision-Minimizing Beacon Scheduling Scheme Using RPL in Dense TSCH-Based IoT Environment

- Authors: Jaeyoung Kim, Sanghwa Chung, and Hyungteak Shin

- Keyword: IEEE 802.15.4e; TSCH; Industrial WSN

- Abstract

Time slotted channel hopping (TSCH) is one of the techniques defined in the IEEE802.15.4e standard. TSCH operates based on a time-division scheme and uses 16 separate channels for each communication, ensuring high reliability. Since the entire network operates synchronously, the network participation process is indispensable. However, due to the channel change technique of TSCH, the network participation time of a new node that wants to participate in the network becomes longer. In the previous research, channels for beaconing were chosen randomly to reduce network formation time. However, this approach is effective in networks with a smaller number of nodes, e.g., congestion occurs due to collisions of beacon messages in networks with approximately more than 20, which increases the network participation time. In addition, since channels are selected stochastically, beacons can’t be broadcast evenly throughout the network.

To solve this problem, this paper proposes a collision-minimizing scheduling scheme. The strategy allocates a separate timeslot for each node, eliminating the possibility of beacon message collisions. In this experiment, the average network join time decreased by 15%. The technique applied to this technique can reduce the network formation time without network congestion in a dense industrial environment.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 15, no. 3, pp.97-106

[Paper Two]

- Title: Cascaded Cache Based on Recently Used Order for Latency Optimization for IoT

- Authors: Juhee Choi and Heemin Park

- Keyword: Latency optimization; L1 data cache; Cache replacement policy

- Abstract

The load-to-use latency of the L1 cache is one of the main factors to determine the performance of low power processors. As the clock frequency competitions become severe even in Internet of Things (IoT) devices, the access cycle to the L1 cache was increased to meet the timing constraints. Because previous studies assumed that every access to the data cache has the same latency, the latencies tend to be longer for higher performance. We propose a latency optimization method that uses a cascaded cache based on a recently used order that has several small banks with various latencies instead of one whole data cache with constant latency. In our cache, each bank contains the cache block according to its recently used order. The experiments show that the performance of our proposal is improved by 23.0%, with a 1.3% reduction in the dynamic energy consumption on average.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 15, no. 3, pp.107-114

[Paper Three]

- Title: Assessment of Segmentation Impact on Melanoma Classification Using Convolutional Neural Networks

- Authors: Qikang Deng, Jose Cruz Castelo Beltran, and DoHoon Lee

- Keyword: Skin cancer; Melanoma classification; Medical image segmentation

- Abstract

Among the different types of skin cancer, melanoma is the one with the highest death rate. Therefore, the early detection of melanoma and the development of technologies that can assist in this task have become significantly important. Convolutional neural networks are one of the most popular skin cancer classification methods. However, most of the available skin cancer datasets include images with lesions that are hard to differentiate from healthy skin or with a high presence of hair that can occlude the lesion. This characteristics of the images makes it harder to extract lesion features.

Therefore, utilizing segmentation to extract the lesion location is an important step to reduce hair noise and improve lesion analysis. In this paper, two combining methods for segmentation and classification were explored: concatenation and multiplication. By utilizing these methods, it was possible to improve the accuracy of different neural network architectures by around 1% when compared to unmodified models without segmentation. The best-performing model was selected for further training. This model in conjunction with the segmentation module allowed for the correct re-classification of around 10% of the total examples in the dataset, indicating that a segmentation phase leads to an overall accuracy improvement and suggested that by improving the segmentation, an improvement on the overall accuracy can be obtained.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 15, no. 3, pp.115-124

[Paper Four]

- Title: Leverage Sidechains to Reduce the Workload of Smart Contracts through Parallelization

- Authors: Magne Saetran, Jungwon Seo, and Sooyong Park

- Keyword: Blockchain; Smart contracts; Scalability; Sidechains; Parallelization

- Abstract

Recently, blockchain has been evolving rapidly with new innovations, coins, and use cases every day. The platform is getting more congested due to the increase of interest and mainstream adoption, and because most of this activity is on the widely used Ethereum blockchain. This also further increases the costs of using the platform, as the gas prices become higher. Smart contracts are deployed on the Ethereum blockchain and the high usage of these smart contracts is one of the main reasons behind the congestion. We propose a new scheme using sidechains and a middleware to reduce the workload for certain smart contracts, which allows the execution of smart contract transactions in parallel through sidechains. In this way, the sidechains could be leveraged to decrease the congestion on the main blockchain and increase the rate of transactions per second. Furthermore, the sidechains could have their settings, like block time and block gas limit, adjusted to give more optimal results. We implemented a modified version of the ballot contract from the solidity documentation, and our results demonstrated that through the use of two sidechains, the transactions processed per second could be increased from 1.8× to 13.0×, depending on the sidechains settings.

To obtain a copy of the entire article, click on the link below.
JCSE, vol. 15, no. 3, pp.125-133

[Call For Papers]

Journal of Computing Science and Engineering (JCSE), published by the Korean Institute of Information Scientists and Engineers (KIISE) is devoted to the timely dissemination of novel results and discussions on all aspects of computing science and engineering, divided into Foundations, Software & Applications, and Systems & Architecture. Papers are solicited in all areas of computing science and engineering. See JCSE home page at http://jcse.kiise.org for the subareas.

The journal publishes regularly submitted papers, invited papers, selected best papers from reputable conferences and workshops, and thematic issues that address hot research topics. Potential authors are invited to submit their manuscripts electronically, prepared in PDF files, through http://mc.manuscriptcentral.com/jcse, where ScholarOne is used for on-line submission and review. Authors are especially encouraged to submit papers of around 10 but not more than 30 double-spaced pages in twelve point type. The corresponding author's full postal and e-mail addresses, telephone and FAX numbers as well as current affiliation information must be given on the manuscript. Further inquiries are welcome at JCSE Editorial Office, office@kiise.org (phone: +82-2-588-9240; FAX: +82-2-521-1352).