• ETRI Journal
• /
• v.35 no.2
• /
• pp.301-310
• /
• 2013

Nowadays, the multicore processor is watched with interest by people all over the world. As the design technology of system on chip has developed, observing and controlling the processor core's internal state has not been easy. Therefore, multicore processor debugging is very difficult and time-consuming. Thus, we need a reliable and efficient debugger to find the bugs. In this paper, we propose an on-chip debug architecture for multicore processors that is easily adaptable and flexible. It is based on the JTAG standard and supports monitoring mode debugging, which is different from run-stop mode debugging. Compared with the debug architecture that supports the run-stop mode debugging, the proposed architecture is easily applied to a debugger and has the advantage of having a desirable gate count and execution cycle. To verify the on-chip debug architecture, it is applied to the debugger of the prototype multicore processor and is tested by interconnecting it with a software debugger based on GDB and configured for the target processor.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.5
• /
• pp.1029-1036
• /
• 2018

This paper is a study on the development of optimal control system for lighting and air conditioning equipment to save the energy in campus environment. In the case of controling system developed through this research, lighting and air conditioner are controlled by both information on the number of people entering and leaving the room through the motion sensor and image processing, and the information on temperature and humidity. In addition, energy saving is enabled by the results that are controlled through data integration monitoring and command execution functions according to the control signals.

• Journal of KIISE:Software and Applications
• /
• v.29 no.5
• /
• pp.345-354
• /
• 2002

There have been many researches about monitoring and checking the implementations during run-time using formal requirement specification. They usually adopt temporal logics or their extensions to specify the requirements for the implementations. However, most of the systems fail to support the specification of requirements fir dynamic systems - systems whore components are created and removed during run-time. Unlike analysis or design models, most actual implementations are dynamic, so the notion of instances should be employed in the property specification language. In this paper, we show how we can monitor and check Java programs using our temporal logic for dynamic systems (HDTL). We suggest a framework in which the execution of Java programs are monitored and chocked against given HDTL requirements.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.33 no.6
• /
• pp.929-938
• /
• 2023

ARM processors, utilized in mobile devices, have integrated the hardware isolation framework, TrustZone technology, to implement two execution environments: the trusted domain "Secure World" and the untrusted domain "Normal World". Rootkit is a type of malicious software that gains administrative access and hide its presence to create backdoors. Detecting the presence of a rootkit in a Secure World is difficult since processes running within the Secure World have no memory access restrictions and are isolated. This paper proposes a technique that leverages the hardware based PMU(Performance Monitoring Unit) to measure events of the Secure World rootkit and to detect the rootkit using deep learning.

• The Journal of Society for e-Business Studies
• /
• v.13 no.2
• /
• pp.101-115
• /
• 2008

Recently in the human society, the crime using small arms has increased. Also, many accidents happen because of incomplete management of chemicals and radiation. Accordingly, it is necessary to manage dangerous objects by tracing the position of dangerous objects and rapidly providing the correct information for them. This paper presents a web-based system for real-time monitoring of dangerous objects using RFID in order to overcome the limitations and problems of current dangerous objects management techniques. In this paper, we define the architecture for web-based dangerous objects monitoring system and the scheme for storing information of a dangerous object in the RFID tag. We also implement the web-based monitoring system and present the execution result of the system. The proposed real-time monitoring system is composed of the dangerous objects monitoring server which manages information of dangerous objects and controls them, the dangerous objects monitoring middleware which is mediator between dangerous objects and the server, the RFID reader which reads information of dangerous objects from RFID tags attached to the objects and the database which stores information, status and position of dangerous object. The proposed system manages diverse dangerous objects such as small arms, radiation and harmful chemicals based on the position of them using RFID, so the user can check dangerous objects when they are checked in and checked out and the user can acquire the real-time position information of them through the system. Furthermore, the user can visually monitor dangerous objects through web browser from any where and at any time because the system is web-based system and it provides graphical user interface.

• Journal of KIISE:Computing Practices and Letters
• /
• v.15 no.7
• /
• pp.469-477
• /
• 2009

In mobile systems, energy efficiency is critical to extend battery life. Therefore, power consumption should be taken into account to develop software in addition to performance, Efficient software design in power and performance is possible if accurate power prediction is accomplished during the execution of software, In this paper, power estimation model is developed using statistical analysis, The proposed model analyzes processor behavior Quantitatively using the data of performance monitoring events and power consumption collected by executing various benchmark programs, And then representative hardware events on power consumption are selected using hierarchical clustering, The power prediction model is established by regression analysis in which the selected events are independent variables and power is a response variable, The proposed model is applied to a PXA320 mobile processor based on Intel XScale architecture and shows average estimation error within 4% of the actual measured power consumption of the processor.

• KIPS Transactions on Computer and Communication Systems
• /
• v.6 no.10
• /
• pp.407-414
• /
• 2017

Pig monitoring applications consisting of many tasks can take advantage of inherent data parallelism and enable parallel processing using performance accelerators. In this paper, we propose a task distribution method for pig monitoring applications into a heterogenous computing platform consisting of a multicore-CPU and a manycore-GPU. That is, a parallel program written in OpenCL is developed, and then the most suitable processor is determined based on the measured execution time of each task. The proposed method is simple but very effective, and can be applied to parallelize other applications consisting of many tasks on a heterogeneous computing platform consisting of a CPU and a GPU. Experimental results show that the performance of the proposed task distribution method on three different heterogeneous computing platforms can improve the performance of the typical GPU-only method where every tasks are executed on a deviceGPU by a factor of 1.5, 8.7 and 2.7, respectively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2011.10a
• /
• pp.643-645
• /
• 2011

For network is growing at a rapid rate, network environment is more complex. The technology of using network traffic to monitor our network in real-time is developed. Cacti is a representative monitoring tool which based on RRDTool(Round Robin Database tool), SNMP(Simple Network Management Protocol). In this paper, it show you how to develop a system which based on Cacti and Libpcap to monitor our monitored objects. At this system, using Libpcap to capture network traffic packets, analyze these packets and then turn out in Cacti in graphical form. So as to achieve monitoring system. This system's execution is efficient and the management is easy and the results are accurate, so it can be widely utilized in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.254-256
• /
• 2014

In this paper, using the Android App to remote database monitoring system is proposed. Existing remote database monitoring scheme CS(Client / Server) based. Conventional CS based systems are space constraints and a plurality of administrator to access the database at that degrade performance disadvantages. The advantage of the proposed system first, because the web -based interface allows the application program, and also the ease of maintenance, through a web browser, if you have Internet access anytime, anywhere environment without restrictions of time and space monitoring. Second, the proposed system because the App -based technology due to an increase in connection session and query execution does not affect the performance of your database. Third, if there is a problem with the remote database through which social networks immediately notify the administrator of the smartphone in real time so that the administrator can identify the problem.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.32 no.6
• /
• pp.1091-1102
• /
• 2022

Robotic systems have developed very rapidly over the past decade. Robot Operating System is an open source-based software framework for the efficient development of robot operating systems and applications, and is widely used in various research and industrial fields. ROS applications may contain various vulnerabilities. Various studies have been conducted to monitor the excution of these ROS applications at runtime. In this study, we propose a real-time attack detection system using event-based runtime monitoring in ROS 2. Our attack detection system extends tracetools of ros2_tracing to instrument events into core libraries of ROS 2 middleware layer and monitors the events during runtime to detect attacks on the application layer through out-of-order execution of the APIs.