This page has only limited features, please log in for full access.

Prof. Seongsoo Cho
School of Software, Soongsil University, Seoul 06978, Korea

Basic Info


Research Keywords & Expertise

0 Image Processing
0 sensor networks
0 IoT
0 etc
0 Learning/Machine Learning

Fingerprints

sensor networks
Image Processing
IoT

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 18 June 2021 in Applied Sciences
Reads 0
Downloads 0

An efficient water supply management system can be one of the applications of the Internet of Things (IoT). Water is a basic physiological need, and smart management of water plays a significant role in a smart city. This paper focuses on a mathematical model and IoT framework that aid in developing a smart city. A framework is developed for water supply management. The efficiency of the water supply can be measured by monitoring leakage conditions, overflow of water, automatic meter reading and online bill payments, and water consumption status of households, community, state, and eventually the whole country as well as the automatic water supply line cut-off. The system where the IoT is being deployed consists of embedded hardware in which sensors and microcontrollers provide messages and gain feedback from each other with the help of the internet, and this process can not only be monitored but also can be controlled from a remote location. The developed framework addresses all these aspects and mathematical equations are used and formulated while developing the IoT application. The mathematical equations are concentrated on consumption level (CL), leakage reporting (LR), and bill amount (BA) based on consumption. These become the point of contact for deploying IoT and eventually a framework is developed. This framework can be useful not only in water supply management but also in the management of road traffic, pollution, garbage, home automation and so on. In a nutshell, this paper illustrates the usage of the IoT framework in water supply management which contributes to developing the smart city.

ACS Style

Ganesh Gautam; Gajendra Sharma; Bipin Magar; Bhanu Shrestha; Seongsoo Cho; Changho Seo. Usage of IoT Framework in Water Supply Management for Smart City in Nepal. Applied Sciences 2021, 11, 5662 .

AMA Style

Ganesh Gautam, Gajendra Sharma, Bipin Magar, Bhanu Shrestha, Seongsoo Cho, Changho Seo. Usage of IoT Framework in Water Supply Management for Smart City in Nepal. Applied Sciences. 2021; 11 (12):5662.

Chicago/Turabian Style

Ganesh Gautam; Gajendra Sharma; Bipin Magar; Bhanu Shrestha; Seongsoo Cho; Changho Seo. 2021. "Usage of IoT Framework in Water Supply Management for Smart City in Nepal." Applied Sciences 11, no. 12: 5662.

Journal article
Published: 12 May 2021 in Applied Sciences
Reads 0
Downloads 0

These days, because of the coronavirus, all countries are introducing online university systems. Online universities have the advantage of allowing students to take classes anytime, anywhere, 24 h a day, but lectures are given in a non-face-to-face manner between instructors and students. Thus, while students are taking classes on a web-based basis, the problem arises that concentration on the lectures is significantly reduced. Therefore, in order to solve these problems, in this paper, we propose a level-wise learning algorithm based on the difficulty level of the test problem, and we present the simulation results. In order to improve this problem, in this paper, we propose an automatic music recommendation algorithm based on fuzzy reasoning that can improve the level of learning and lecture concentration, and we show our results on developing a web-based, smart e-learning software. As a result of computer simulation, it was proved that the learning test method, considering by level the difficulty of the test and the incorrect answer rate, was more effective than the existing test method, judged the student’s grades fairly, and improved the risk of unfairly failing the test by 30%.

ACS Style

You-Sik Hong; Chang-Pyoung Han; Seong-Soo Cho. Level-Based Learning Algorithm Based on the Difficulty Level of the Test Problem. Applied Sciences 2021, 11, 4380 .

AMA Style

You-Sik Hong, Chang-Pyoung Han, Seong-Soo Cho. Level-Based Learning Algorithm Based on the Difficulty Level of the Test Problem. Applied Sciences. 2021; 11 (10):4380.

Chicago/Turabian Style

You-Sik Hong; Chang-Pyoung Han; Seong-Soo Cho. 2021. "Level-Based Learning Algorithm Based on the Difficulty Level of the Test Problem." Applied Sciences 11, no. 10: 4380.

Review
Published: 04 September 2020 in Mathematics
Reads 0
Downloads 0

We investigate why normal electrons in superconductors have no resistance. Under the same conditions, the band gap is reduced to zero as well, but normal electrons at superconducting states are condensed into this virtual energy band gap.

ACS Style

Changho Seo; Seongsoo Cho; Je Huan Koo. No Resistive Normal Electrons in Beginning Superconducting States. Mathematics 2020, 8, 1512 .

AMA Style

Changho Seo, Seongsoo Cho, Je Huan Koo. No Resistive Normal Electrons in Beginning Superconducting States. Mathematics. 2020; 8 (9):1512.

Chicago/Turabian Style

Changho Seo; Seongsoo Cho; Je Huan Koo. 2020. "No Resistive Normal Electrons in Beginning Superconducting States." Mathematics 8, no. 9: 1512.

Journal article
Published: 19 May 2020 in Symmetry
Reads 0
Downloads 0

Malware is any malicious program that can attack the security of other computer systems for various purposes. The threat of malware has significantly increased in recent years. To protect our computer systems, we need to analyze an executable file to decide whether it is malicious or not. In this paper, we propose two malware classification methods: malware classification using Simhash and PCA (MCSP), and malware classification using Simhash and linear transform (MCSLT). PCA uses the symmetrical covariance matrix. The former method combines Simhash encoding and PCA, and the latter combines Simhash encoding and linear transform layer. To verify the performance of our methods, we compared them with basic malware classification using Simhash and CNN (MCSC) using tanh and relu activation. We used a highly imbalanced dataset with 10,736 samples. As a result, our MCSP method showed the best performance with a maximum accuracy of 98.74% and an average accuracy of 98.59%. It showed an average F1 score of 99.2%. In addition, the MCSLT method showed better performance than MCSC in accuracy and F1 score.

ACS Style

Young-Man Kwon; Jaeju An; Myung-Jae Lim; Seongsoo Cho; Won-Mo Gal. Malware Classification Using Simhash Encoding and PCA (MCSP). Symmetry 2020, 12, 830 .

AMA Style

Young-Man Kwon, Jaeju An, Myung-Jae Lim, Seongsoo Cho, Won-Mo Gal. Malware Classification Using Simhash Encoding and PCA (MCSP). Symmetry. 2020; 12 (5):830.

Chicago/Turabian Style

Young-Man Kwon; Jaeju An; Myung-Jae Lim; Seongsoo Cho; Won-Mo Gal. 2020. "Malware Classification Using Simhash Encoding and PCA (MCSP)." Symmetry 12, no. 5: 830.

Book chapter
Published: 01 January 2014 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

This paper presents a miniaturized spurline microstrip RF resonator to moisture loaded organic material, soybean seeds using overlay technique. The permittivity has calculated from the frequency response of the moisturized seeds. The RF microstrip spuriine resonator with high Q is so sensitivity to the organic material that helps to sense the moisture content seeds and it is simulated and observed the frequency response at 10 GHz with insertion loss of 40 dB. The designed RF resonator has high quality factory (Q) which is good for using it as a sensor. The resonator can also be characterized using vector network analyzer before and after loading the soybean on the sensitive area of the resonator and we can have frequency difference due to difference in dielectric constant. Random orientations can be done while characterizing the spurline resonator.

ACS Style

Bhanu Shrestha; JongSup Lee; Seongsoo Cho. Moisture Sensor Design Using Spurline RF Resonator. Lecture Notes in Electrical Engineering 2014, 111 -114.

AMA Style

Bhanu Shrestha, JongSup Lee, Seongsoo Cho. Moisture Sensor Design Using Spurline RF Resonator. Lecture Notes in Electrical Engineering. 2014; ():111-114.

Chicago/Turabian Style

Bhanu Shrestha; JongSup Lee; Seongsoo Cho. 2014. "Moisture Sensor Design Using Spurline RF Resonator." Lecture Notes in Electrical Engineering , no. : 111-114.

Conference paper
Published: 01 January 2014 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

Once nodes are deployed in the wireless sensor network, as it is impossible to replace batteries, the amount of transmittable information depends on how to use the limited energy efficiently for longer network life. Virtual Cluster Routing (VCR) builds the efficient virtual cluster considering node compactness, selects the closest node and manages the routing table to reduce overhead significantly by referencing routing table information within the virtual cluster without communicating with other clusters via the head, and has a lower transmission delay and higher survival time than the routing scheme.

ACS Style

Seongsoo Cho; Bhanu Shrestha; Young-Gi Kim; Bong-Hwa Hong. A Virtual Cluster Scheme Technology for Efficient Wireless Sensor Networks. Lecture Notes in Electrical Engineering 2014, 279, 509 -514.

AMA Style

Seongsoo Cho, Bhanu Shrestha, Young-Gi Kim, Bong-Hwa Hong. A Virtual Cluster Scheme Technology for Efficient Wireless Sensor Networks. Lecture Notes in Electrical Engineering. 2014; 279 ():509-514.

Chicago/Turabian Style

Seongsoo Cho; Bhanu Shrestha; Young-Gi Kim; Bong-Hwa Hong. 2014. "A Virtual Cluster Scheme Technology for Efficient Wireless Sensor Networks." Lecture Notes in Electrical Engineering 279, no. : 509-514.

Book chapter
Published: 01 January 2014 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

This paper presents a stereoscopic image conversion method using a single frame of a 2D image. To reduce the computational complexity, image sampling is used. The standardization of luminance can separate an object from its background. We assume the general structure of image by analyzing structure of various images for mathematical expression. The efficacy was evaluated using visual test and Absolute Pixel Difference for comparing the stereoscopic image of the proposed method with that of Modified Time Difference.

ACS Style

Seongsoo Cho; BongHwa Hong; Kwang Chul Son. Real Time 2D to 3D Image Conversion Technology. Lecture Notes in Electrical Engineering 2014, 77 -81.

AMA Style

Seongsoo Cho, BongHwa Hong, Kwang Chul Son. Real Time 2D to 3D Image Conversion Technology. Lecture Notes in Electrical Engineering. 2014; ():77-81.

Chicago/Turabian Style

Seongsoo Cho; BongHwa Hong; Kwang Chul Son. 2014. "Real Time 2D to 3D Image Conversion Technology." Lecture Notes in Electrical Engineering , no. : 77-81.

Book chapter
Published: 01 January 2014 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

In this thesis, the method of input-output linearization for the time-varying nonlinear system is discussed. To this end, the proposed linearization technique of existing research has been extended to nonlinear systems. The suggested technique for an extended input-output linearization method is conversed to time-invariant linear system and formulated as time-varying nonlinear system by having multiple integrators. This suggested method presented the necessary and sufficient condition and proved through examples.

ACS Style

Jong-Yong Lee; Kye-Dong Jung; BongHwa Hong; Seongsoo Cho. Method of Extended Input/Output Linearization for the Time-Varying Nonlinear System. Lecture Notes in Electrical Engineering 2014, 37 -46.

AMA Style

Jong-Yong Lee, Kye-Dong Jung, BongHwa Hong, Seongsoo Cho. Method of Extended Input/Output Linearization for the Time-Varying Nonlinear System. Lecture Notes in Electrical Engineering. 2014; ():37-46.

Chicago/Turabian Style

Jong-Yong Lee; Kye-Dong Jung; BongHwa Hong; Seongsoo Cho. 2014. "Method of Extended Input/Output Linearization for the Time-Varying Nonlinear System." Lecture Notes in Electrical Engineering , no. : 37-46.

Conference paper
Published: 01 January 2014 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

Once nodes are deployed in the wireless sensor network, as it is impossible to replace batteries, the amount of transmittable information depends on how to use the limited energy efficiently for longer network life. Virtual Cluster Routing (VCR) builds the efficient virtual cluster considering node compactness, selects the closest node and manages the routing table to reduce overhead significantly by referencing routing table information within the virtual cluster without communicating with other clusters via the head, and has a lower transmission delay and higher survival time than the routing scheme.

ACS Style

Seongsoo Cho; Bhanu Shrestha; Young-Gi Kim; Bong-Hwa Hong. A Virtual Cluster Scheme Technology for Efficient Wireless Sensor Networks. Lecture Notes in Electrical Engineering 2014, 279, 1405 -1410.

AMA Style

Seongsoo Cho, Bhanu Shrestha, Young-Gi Kim, Bong-Hwa Hong. A Virtual Cluster Scheme Technology for Efficient Wireless Sensor Networks. Lecture Notes in Electrical Engineering. 2014; 279 ():1405-1410.

Chicago/Turabian Style

Seongsoo Cho; Bhanu Shrestha; Young-Gi Kim; Bong-Hwa Hong. 2014. "A Virtual Cluster Scheme Technology for Efficient Wireless Sensor Networks." Lecture Notes in Electrical Engineering 279, no. : 1405-1410.

Conference paper
Published: 01 January 2014 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

We proposed an image enhancement algorithm with less computational complexity than the existing one. In the proposed blocks for algorithm, the decimation filter provides the reduction of computational complexity using spatial reduction methods. The contrast enhancement block employs a probability density value (PDV) in order to control the excessive change of brightness. Cumulative distribution function (CDF) is estimated by using first order linear interpolation (FOLI) for real time processing. The colour enhancement block carries out saturation enhancement using saturation extension by maximum saturation enhancement (MSE) methods. It has been implemented in FPGA (field programmable gate array), and we have made an evaluation board for experiment. As compared to the conventional algoriths, the proposed algorithm provides better performance and lower computational complexity.

ACS Style

Seongsoo Cho; Kwang Chul Son; JongSup Lee; Seung Hyun Lee. FOLI Technique Algorithm for Real-Time Efficient Image Processing. Lecture Notes in Electrical Engineering 2014, 279, 1337 -1342.

AMA Style

Seongsoo Cho, Kwang Chul Son, JongSup Lee, Seung Hyun Lee. FOLI Technique Algorithm for Real-Time Efficient Image Processing. Lecture Notes in Electrical Engineering. 2014; 279 ():1337-1342.

Chicago/Turabian Style

Seongsoo Cho; Kwang Chul Son; JongSup Lee; Seung Hyun Lee. 2014. "FOLI Technique Algorithm for Real-Time Efficient Image Processing." Lecture Notes in Electrical Engineering 279, no. : 1337-1342.

Book chapter
Published: 01 January 2012 in Communications in Computer and Information Science
Reads 0
Downloads 0

As the modern society is developing into a multimedia information society, it has become easy to collect, search, process, transmit, and store information. However, damages from illegal system intrusion, personal information leaks, data duplication and forgery are also increasing everyday. Thus, information protection technologies are required to guarantee the confidentiality, integrity, and availability of information by responding to the threats and adverse effects that hinder the information communication environment. This paper proposes an information security system using image puzzle type key-code which divides original images consisting of pictures, figures, texts, numbers, fingerprints, and/or iris into certain sizes and the divided image pieces are arranged in accordance with preset patterns to create an image puzzle type key-code, and the original image is restored to a key-code image by substituting a puzzle type key-code value, thus preventing the leakage of original images.

ACS Style

Seongsoo Cho; Changhoon Choi; Sukjoo Hong; Youngchoon Kim. Information Security System Using Image Puzzle Type Keycode. Communications in Computer and Information Science 2012, 187 -193.

AMA Style

Seongsoo Cho, Changhoon Choi, Sukjoo Hong, Youngchoon Kim. Information Security System Using Image Puzzle Type Keycode. Communications in Computer and Information Science. 2012; ():187-193.

Chicago/Turabian Style

Seongsoo Cho; Changhoon Choi; Sukjoo Hong; Youngchoon Kim. 2012. "Information Security System Using Image Puzzle Type Keycode." Communications in Computer and Information Science , no. : 187-193.

Conference paper
Published: 10 December 2011 in Lecture Notes in Electrical Engineering
Reads 0
Downloads 0

An image in a dynamic range widened by limitations in an image sensor, which has limited size of dynamic range, causes mobile phones and digital cameras to produce brightly saturated image or dark image with less exposure unlike observed with human eyes. This study, which explores solutions to improve contrast imbalance triggering higher global contrast but lower local contrast in images acquired in an environment with wide dynamic range, uses exposure information and edge information for weighted value mapping. The map is applied to image composition process to compare high-brightness proposed in the algorithm to improve contrast imbalance. The comparison indicates greater contrast improvement in the test image than in the original algorithm. Specifically, average growth rate in the original algorithm declined by roughly 27% generating a very large contrast loss while it declined by just 9% in the proposed algorithm resulting in hardly any loss. This comparison and numerical analysis point to the original contrast improvement performance to be a better choice as proven by the proposed algorithm, which does not incur contrast loss in the HD side and thus, produce a more balanced contrast improvement performance.

ACS Style

Seongsoo Cho; Bhanu Shrestha; Hae-Jong Joo; BongHwa Hong. Improvement of Retinex Algorithm for Backlight Image Efficiency. Lecture Notes in Electrical Engineering 2011, 579 -587.

AMA Style

Seongsoo Cho, Bhanu Shrestha, Hae-Jong Joo, BongHwa Hong. Improvement of Retinex Algorithm for Backlight Image Efficiency. Lecture Notes in Electrical Engineering. 2011; ():579-587.

Chicago/Turabian Style

Seongsoo Cho; Bhanu Shrestha; Hae-Jong Joo; BongHwa Hong. 2011. "Improvement of Retinex Algorithm for Backlight Image Efficiency." Lecture Notes in Electrical Engineering , no. : 579-587.