• Journal of the Korean Chemical Society
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• v.61 no.4
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• pp.139-142
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• 2017

Ethene ($C_2H_4$), which is produced in plants as they mature, was used to study its photoacoustic properties using photoacoustic spectroscopy. Detection of trace amounts, with $N_2$ gas, of $C_2H_4$ gas was also applied. The gas was tested in various conditions-temperature, concentration of the gas, gas cell length, and power of the laser- to determine their effect on the photoacoustic signal, the ideal conditions to detect trace gas amounts, and concentration of $C_2H_4$ produced by an avocado and a banana. A detection limit of 10 ppm was determined for pure $C_2H_4$. A detection of 5% and 13% (by volume) concentration of $C_2H_4$ was produced for a ripening avocado and banana, respectively, in closed space.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1921-1925
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• 2013

In this paper, we propose a method of object trace to real image object which enter into an area. The trace to a recognized object can be implemented to detect the moving pattern if the object enter into an area. Such as this mechanism can be applied to some applications to danger area or limited area where the invasion of unauthorized object or the moving pattern of an object is identified to achieve the trace and detection of an object.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.129-139
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• 2017

With the advent of FinTech, many financial services have become available in the mobile Internet environment and recently, there is an internet bank that provides all bank services online. As the proportion of financial services over the Internet increases, it offers convenience to users, but at the same time, the threat of financial network is increasing. Financial institutions are investing heavily in security systems in case of an intrusion. However attacks by hackers are getting more sophisticated and difficult to cope with. However, applying an IP Trace-back method that can detect the actual location of an attacker to a financial network can prepare for an attacker's arrest and additional attacks. In this paper, we investigate IP Trace-back technology that can detect the actual location of attacker and analyze it to apply it to financial network. And we propose a new IP Trace-back method through Infra-structure construction through simulation experiments.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.47-54
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• 2014

Anti-debugging is one of the techniques implemented within the computer code to hinder attempts at reverse engineering so that attackers or analyzers will not be able to use debuggers to analyze the program. The technique has been applied to various programs and is still commonly used in order to prevent malware or malicious code attacks or to protect the programs from being analyzed. In this paper, we will suggest an automatic detection scheme for anti-debugging routines. With respect to the automatic detection, debuggers and a simulator were used by which trace information on the Application Program Interface(API) as well as executive instructions were extracted. Subsequently, the extracted instructions were examined and compared so as to detect points automatically where suspicious activity was captured as anti-debugging routines. Based on experiments to detect anti-debugging routines using such methods, 21 out of 25 anti-debugging techniques introduced in this paper appear to be able to detect anti-debugging routines properly. The technique in the paper is therefore not dependent upon a certain anti-debugging method. As such, the detection technique is expected to also be available for anti-debugging techniques that will be developed or discovered in the future.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.9
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• pp.4249-4253
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• 2012

While associations between trace elements and heavy metals with prostate cancer are still debatable, they have been considered as risk factors for prostate cancer. Thus, this study aimed to detect any links between selected minerals and heavy metals including Se, Zn, Cu, Mn and Fe with prostate cancer. A case control study was carried out among 100 subjects (case n=50, control n=50), matched for age and ethnicity. Trace elements and heavy metals level in hair and nail samples were determined by ICP-MS. Mean selenium levels in hair and nail of the cases were significantly lower as compared to controls. A similar trend was noted for zinc in both hair and nail samples, whereas the mean level of copper was significantly higher in cases than controls. Similar elevation was noted for iron and manganese (p<0.05 for all parameters). Low levels of selenium and zinc and high levels of copper, iron and manganese appear to be associated with the risk of prostate cancer. Further studies to elucidate the causal mechanisms and appropriate chemopreventive measures are needed.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.43 no.9 s.351
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• pp.38-43
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• 2006

In this paper, we propose the efficient dead pixel detection algorithm for CMOS image sensors and its hardware architecture. The CMOS image sensors as image input devices are becoming popular due to the demand for miniaturized, low-power and cost-effective imaging systems. However, the presence of the dead pixels degrade the image quality. To detect the dead pixels, the proposed algorithm is composed of scan, trace and detection step. The experimental results showed that it could detect 99.99% of dead pixels. It was designed in a hardware description language and total logic gate count is 3.2k using 0.25 CMOS standard cell library.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.4
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• pp.270-274
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• 2015

We suggest that HSV Color Space may be used to detect a vehicle detecting system at nighttime. It is essential that a licence plate should be extracted when a vehicle is under surveillance. To do so, a licence plate may be enlarged to certain size after the aimed vehicle is taken picture from a distance by using Pan-Tilt-Zoom Camera. Either Mean-Shift or Optical Flow Algorithm is generally used for the purpose of a vehicle detection and trace, even though those algorithms have tendency to have difficulty in detection and trace a vehicle at night. By utilizing the fact that a headlight or taillight of a vehicle stands out when an input image is converted in to HSV Color Space, we are able to achieve improvement on those algorithms for the vehicle detection and trace. In this paper, we have shown that at night, the suggested method is efficient enough to detect a vehicle 93.9% from the front and 97.7% from the back.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.2
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• pp.166-181
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• 2003

With the rapid growth of Internet, many devices such as Web TVs, PDAs and Web phones, begin to be directly connected to the Internet. These devices need real-time operating systems (RTOS) to support complex real-time applications running on them. Development of such real-time applications called embedded internet applications, is difficult due to the lack of adequate tools, especially debuggers. In this paper we present a new tracepoint debugging tool for the Qplus-T RTOS embedded system, which facilitates the instrumentations of the real-time software applications with timing trace-points. Compared with traditional breakpoint debugger, this trace-point debugger provides the ability to dynamically collect and record application data for on-line examination and for further off-line analysis. And, the trace-points can also provide the means for assigning new values to the running application's variables, without neither halting its execution nor interfering with its natural execution flow. Our trace-point debugger provides a highly efficient method for adding numerous monitoring trace-points within a real time target application such as Qplus-T internet applications, utilizing these trace-points to monitor and to analyze the application's behavior while it is running. And also, our trace debugger is different from previous one in that we can specify and detect the timing violations using its RTL (Real-Time Logic) trace experiments.

• Journal of Environmental Health Sciences
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• v.17 no.1
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• pp.129-135
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• 1991

To investigate on the trace element content of twelve edible mushrooms and Aloe arborescens, i. e., Lentinus edodes, Ganoderma lucidum (culturing in wood and soil), Tricholoma matsutake, Agaricus bisporus, Cyrophora esculenta, Auricularia auricula-Jude (produced in Korea and China), Sarcodon asparatus, Pleurotus ostreatus, Coriolus versicolor, Smilax rotundifolia and Aloe arborescerts were analyzed by Atomic absorption spectrometer. The obtained results were summerized as follows: 1. Potassium, sodium, magnesium and iron content for the most part samples were in large quantities, especially phosphorus content of those was highest ammount for the all samples. 2. Sodium content was much ammount in the Lentinus edodes (39mg) and Ganoderma lucidurn (20 mg), Culturing in wood and soil, while potassium was very high ammount in the Aloe arborescens and other samples. Mush ammount of magnesium as compared with others was Lentinus edodes (144mg), Ganoderma lucidurn (128mg), Aloe arborescerts (50mg) and pleurotus ostreatus (60mg). Phosphorus content of Ganoderma lucidurn, Lentinus edodes, Gyrophora esculenta, Auricularia polytricha and Agaricus bisporus was much ammount while iron content of all samples equality higher ammount. Sodium content of Aloe arborescens was not analyzed out for almost all, its potassium (82mg), magnesium (50mg) and iron (18rng) content comparatively higher quentity than others minerals and phosphorus volume (4.9mg) as compared with others, was conspicuously lower detect. 4. Cadimium and lead content of harmful metal element were detected on trace quentity for the most part samples 5. Organic acids of samples i.e., Legtinus edodes, Agaricus bisporus, Pleurotus ostreatus and Ganoderma lucidum were Citrate, Malate, Fumalate, Succinate, Oxalate, Acetate, Lactate, and Tartarate and Citrate, Malate and Fumarate contents were higher amount remarkbly than other organic acids. Tartarate content was trace amount.

• Journal of the Korean Data and Information Science Society
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• v.14 no.2
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• pp.313-323
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• 2003

For the growth curve model with arbitrary covariance structure, known as unstructured covariance matrix, the problems of detecting outliers are discussed in this paper. In order to detect outliers in the growth curve model, the test statistics using U-distribution is established. After detecting outliers in growth curve model, we test homo and/or hetero-geneous covariance matrices using PSR Quasi-Bayes Criterion. For illustration, one numerical example is discussed, which compares between before and after outlier deleting.