PURPOSES : This study aims to perform a quantitative analysis of Forward Collision Warning and crash frequency using heavy vehicle driving data collected in expressway driving environments, and to classify the driving environments where Forward Collision Warnings of heavy vehicles occur for accident-prone areas and analyze their occurrence characteristics. METHODS : A bivariate Gaussian mixture model based on inter-vehicle distance gap and speed-acceleration parameters is used to classify the environment in which Forward Collision Warning occurs for heavy vehicles driving on expressways. For this analysis, Probe Vehicle Data of 80 large trucks collected by C-ITS devices of Korea Expressway Corporation from May to June 2022. Combined with accident information from the past five years, a detailed analysis of the classified driving environments is conducted. RESULTS : The results of the clustering analysis categorizes Forward Collision Warning environments into three groups: Group I (highdensity, high-speed), Group II (high-density, low-speed), and Group III (low-density, high-speed). It reveals a positive correlation between Forward Collision Warning frequency and accident rates at these points, with Group I prevailing. Road characteristics at sites with different accident incidences showed that on-ramps and toll gates had high occurrences of both accidents and warnings. Furthermore, acceleration deviation at high-accident sites was significant across all groups, with variable speed deviations noted for each warning group. CONCLUSIONS : The Forward Collision Warning of heavy vehicles on expressways is classified into three types depending on the driving environment, and the results of these environmental classifications can be used as a basis for building a road environment that reduces the risk of crashes for heavy vehicles.

본 연구에서는 글로벌 회사채 포트폴리오의 신용위험(부도확률지표)에 대한 신용스프레드(OAS: 시장지표)의 선행성 여부 및 선행성 정도를 분석하였다. 두 지표를 회귀변수로 하는 시차상관성 분석 및 패널 회귀분석 결과 회사채 신용위험에 대해 시장지표가 유의한 선행성을 갖는 것으로 나타났다. 이는 시장을 통해 신용위험 변화를 실시간 반영하는 시장지표가 해당 회사채의 신용위험 변화를 빠르게 포착하기 때문으로 풀이된다. 일일 데이터로 측정한 시장지표의 신용위험 시그널링 효과는 신용스프레드가 대체로 0.5개월 이후의 부도확률 악화를 가장 잘 설명하는 것으로 나타났다. 시장상황에 따라서도 선행성의 크기가 달리 나타났는데, 시장스트레스 시기일수록 높 은 변동성으로 인해 신용위험 변화에 시장지표가 더 민감하게 반응함으로써 동 시그널링 효과가 더 큰 것으로 분 석되었다. 금융복합성 증가 등으로 시장위험과 신용위험간 경계가 모호해지는 최근 흐름을 감안할 때 시장지표의 활용을 통해 신용리스크관리의 선제적 대응력을 높일 필요성이 더욱 커졌으며, 특히 시그널링 효과가 큰 시장스 트레스기 일수록 시장지표의 활용에 무게를 둘 필요가 있다.

This study indirectly measures the vibration value corresponding to the abnormal vibration generated by the small engine for light aircraft to which the dual carburetor is applied by the pressure difference from each carburetor. It relates to a system for outputting a warning to a pilot, comprising two pressure gauges for measuring the pressure from each carburetor and a warning signal output unit for outputting a warning signal corresponding to the pressure difference measured by the two pressure gauges do.

This paper presents a real-time, false-pick filter based on deep learning to reduce false alarms of an onsite Earthquake Early Warning (EEW) system. Most onsite EEW systems use P-wave to predict S-wave. Therefore, it is essential to properly distinguish P-waves from noises or other seismic phases to avoid false alarms. To reduce false-picks causing false alarms, this study made the EEWNet Part 1 'False-Pick Filter' model based on Convolutional Neural Network (CNN). Specifically, it modified the Pick_FP (Lomax et al.) to generate input data such as the amplitude, velocity, and displacement of three components from 2 seconds ahead and 2 seconds after the P-wave arrival following one-second time steps. This model extracts log-mel power spectrum features from this input data, then classifies P-waves and others using these features. The dataset consisted of 3,189,583 samples: 81,394 samples from event data (727 events in the Korean Peninsula, 103 teleseismic events, and 1,734 events in Taiwan) and 3,108,189 samples from continuous data (recorded by seismic stations in South Korea for 27 months from 2018 to 2020). This model was trained with 1,826,357 samples through balancing, then tested on continuous data samples of the year 2019, filtering more than 99% of strong false-picks that could trigger false alarms. This model was developed as a module for USGS Earthworm and is written in C language to operate with minimal computing resources.

우리나라는 항행교통안전을 위하여 19개 항만과 3개 출입항로에 속력제한구역을 설정하고 제한속력을 지정하고 있으나 항만별 로 제한속력이 다르고 실질적 관리수단의 부재로 제한속력 위반 행위가 빈번히 발생하고 있으며 이로 인하여 인적과실에 의한 선박 충돌 사고가 지속 발생하고 있다. 본 연구는 첫째, 무역항 및 진입수로에서 발생한 해양사고를 분석하였다. 분석결과로 최근 5년간 1,344건(연 평균 269건)이 발생하였고 어선에 의한 사고(563건)가 상선(508건)에 비해 많았으며 특히, 군산항의 어선 선장 50명을 표본으로 설문조사한 결과 45명(90 %)이 제한속력을 알지 못하고 있었다. 둘째, 속력제한 위반 선박에 있는 운항자에게 위험을 알리기 위하여 GPS 플로터 및 전 자해도시스템(ECDIS)에 음성경고 기능과 메시지 경고기능도입을 검토·제안하였다. 셋째, 관련기관과 항법장치 제작업체를 대상으로 전문 가의견을 조사한 결과 제안된 경고기능이 기술적으로 가능한 것으로 확인되었다. 본 연구결과는 선박해양플랜트연구소에서 추진 중인 e-NAVIGATION 사업에 반영 가능하며 선박운항자에 대한 인적과실 감소와 한국형 e-NAVIGATION 구축에 도움이 될 것으로 기대된다.

인천 영흥도 낚시어선 충돌사고와 같이 해양사고는 한 번 발생할 경우 많은 인명피해와 재산피해를 야기할 수 있다. 인천시는 이러한 해양사고를 예방하기 위해 해양사고 예방 안전관리 정책을 시행하고 있으며 특히, 차량용 무선통신기술(WAVE)기반 선박안전운행 시범사업을 추진하여 충돌사고 예방을 위한 선박간 충돌경보 서비스를 주요 서비스로 제공할 예정이다. 하지만, 이러한 서비스를 사용자에게 제공하기 위해서는 구체적인 서비스 형태, 구성, 체계 등 표준화 방안 개발이 필요하고 이는 사용자 요구분석을 기반으로 분석이 되 어야 한다. 본 연구에서는 해당 서비스의 대상이 되는 선박운항자와 유관기관 관계자의 요구분석을 통해 WAVE 통신기반 충돌경보 서비스 표준화 방안을 개발하여 제시하였다. 이는 실증사업에서 도출된 데이터와 더불어 지속적인 개선과 표준화를 위한 노력을 통해 서비스 의 질적 향상, 전문성 및 신뢰성 확보 등에 기여하고 결과적으로 해양사고 예방에 큰 기여를 할 것으로 기대된다.

도로 교통에서는 차세대 지능형 교통시스템(C-ITS)의 핵심 기술인 차량용 무선통신기술(WAVE)을 활용하여 교통사고 예방을 위한 차량과 차량, 차량과 인프라간 교통상황 등 정보를 전달하고 있다. 현재 해상에서는 상대선박의 상태 등의 정보를 전달하는 수단으로 AIS를 많이 활용하고 있으나 AIS 과부하 등 문제점이 대두되고 있어 차량용 무선통신기술을 해상에 적용하는 등 이를 해결하기 위한 다양한 연구들이 수행되고 있다. 본 연구에서는 선행연구를 통해 검증된 차량용 무선통신기술(WAVE)의 해상적용을 바탕으로 소형 선박에 적합한 선박 충돌경보시스템을 개발하였고 실선 TEST를 통해 충돌경보시스템의 적정성을 검토하였다. 차량용 무선통신기술을 활용한 시스템의 적용을 통해 해양사고 예방뿐만 아니라 e-Navigation이나 자율운항 선박 등 차세대 해양안전기술의 발전에 많은 기여를 할 것으로 예상이 된다.

Introduction There is ample evidence in the medical research literature to show that the harmful effects of smoking are real. As a result, most governmental agencies around the world attempt to discourage smoking among smokers and nonsmokers alike by requiring cigarette companies to print health-warning messages on their product packages as a means to deter smoking. Little, however, is known about the credibility of these cigarette-warning messages perceived by both smokers and non-smokers alike on the effectiveness of these messages. Other studies have also examined socio-psychological factors other than health warning messages such as peer pressure, bad breadth, et al., (Pechmann, et al, 2003) which can also influence consumer desires whether or not to smoke. No study to our knowledge has incorporated this factor other than just health warning messages in the same model to study this phenomenon. Furthermore, most research on this topic has focused on consumers in western industrialized countries, even though the issues related to smoking can be just as severe in developing countries and warrants more research attention. In this research, we propose to study the credibility of cigarette warning messages on the effectiveness of these messages on deterring smoking behavior and the mediating effects of the perceived health and social risks in an integrated structural equation model (SEM) framework in an emerging country- Turkey. The study should provide insights into how these factors may influence smokers and nonsmokers differently and enable public policy makers to institute programs or strategies targeting the two different segments of consumers. Literature Background and Hypotheses Copious research has reported on the efficacy of Health Warning Message (HWM) in the Health Communications and Marketing literature (for reviews see Hammond, 2011; Noar, et al, 2015; 2016). In the USA, current rules only require health warnings be printed with tiny fonts on cigarette packages. The effectiveness of this format to deter smoking has come into serious questions. Other countries including countries in the EU have long required pictorial depiction of health hazards resulting from smoking be printed on cigarette packages that must occupy a substantial portion (50% or more) of the surface area on the cigarette package. The assumption is that “a picture is worth a thousand words”. However, the results are equivocal at best (Sabbane, et al., 2009). The real impact of HWM continues to be a point for debate as there are other tobacco consumption reduction methods such as increased taxes and smoking bans (Ruiter & Kok, 2005) various governments can and have imposed. Previous research has shown that when consumers believe that smoking behavior leads to unhealthy consequences and is unwise and unattractive, they generally would refrain from engaging in this behavior (Azjen & Fishbein, 1980). However, consumers who think that they are invincible and that these health hazards will never affect them but only other people, may have engaged in the process of rationalization and may actually discount the credibility of these claims. If so, the HWM may become less effective (Kees, et al., 2006). We therefore formulate the following hypothesis: H1: Perceived credibility of HWMs increases the effectiveness of HWMs. On the other hand, the extent to which consumers may perceive that cigarette HWMs to be credible can better persuade them about the health and social risks such as yellow teeth, bad breath, bad smell, et al., leading to social rejection associated with smoking (Pechmann, et al., 2003). Hammond’s review article (2011) provided some evidence that size and the presentation format can enhance the believability of HWMs. We should expect then that a greater perceived credibility will lead to better persuasion. Similarly, Kowitt, et al. (2016) also show in their study that the believability of HWMs vary among the adolescents regarding cigar smoking. Again, the assumption is that if they perceive the messages to be more credible, they will be more effective in persuading them about the harmful effects of smoking. We thus formulate the following two hypotheses: H2: Perceived credibility of HWMs increases negative social risk perception of smoking H3: Perceived credibility of HWMs increase negative health risk perception of smoking Past research has revealed that knowledge about the negative consequences of a behavior can lead to behavior change even though this may be contingent upon how difficult it is to quit a behavior such as smoking (Nourjah, et al., 1994). Consumer behavior literature has confirmed that due to various factors, attitude may not correlate with behavior even in the context of smoking (Ruiter &Kok, 2005; Solomon, 2018). Extant literature suggests that HWMs may be more successful in influencing attitude (Cameron & Williams, 2015). This research focuses on the health risk perception’s potential impact on intention to quit smoking rather than the act of actually quitting smoking. Furthermore, as mentioned earlier, other factors such as smoking ban and price increases, et al. may cause smoking behavior change. Hence we present the following hypothesis: H4: Perceived health risks associated with smoking influence the effectiveness of HWMs. Smoking has become less socially acceptable in western industrialized countries in recent years. Many nations and states have now banned smoking in public places such as colleges, restaurants and airports including second hand smokes. This creates a social stigma for many smokers. Smokers, as a result, has to bear greater social risks these days. This may also cause them to develop a negative attitude toward smoking as well as reducing their intention to smoke (Chuang & Huang, 2012). As Turkey is a country whose citizens care more about social acceptance, we postulate the following hypothesis: H5: Perceived social risks of smoking affect the effectiveness of HWMs. As mentioned earlier, the effectiveness of HWMs may vary according to subjects’ responses to such messages. They may discount the message veracity by a process of rationalization or even by the extent to which they may have been addicted to the habit. This is so particularly for smokers who may have engaged in such behavior for a long time. Hence, one should expect these messages to be more persuasive and thus more effective in dissuading non-smokers from starting the habit. Smokers, on the other hand, are likely to remain unconvinced and view these messages as exaggerations and therefore less affected by these messages (Hammond, 2009; Hahn & Renner, 1998; Pechmann & Knight, 2002). Based on this discussion, we postulate that the impacts of HWMs’ credibility on perceived health and social risks, as well as the messages’ effectiveness will vary depending on the smoking status of the subjects. We expect greater impacts for non-smokers. Therefore, we tested the SEM for smokers and the same model for nonsmokers in this study. The model is shown in Figure 1 in the Appendix. MethodologyWe designed a four parts questionnaire to measure the constructs in the model we used in this study. In the first part of the questionnaire, we first presented the 14 HWMs currently required by law in Turkey to be displayed on cigarette packages. Furthermore, each of these messages is to be rotated on the packages. We then used the semantic differential scale items comprising of five bipolar adjectives derived from previous literature (Beltramini, 1988; Renee & Cameron, 2015) to measure the perceived credibility of HWMs: (1) believable- unbelievable, (2) convincing- unconvincing, (3) reasonable- unreasonable, (4) easy to understand- hard to understand, (5) informativeuninformative. In the second part of the questionnaire, we operationalized the effectiveness construct by asking the respondents to indicate the extent to which they perceived these HWMs as effective on a 1 item semantic differential scale: “HWMs motivate me to quit or not quit smoking” for smokers and “HWMs reduce my curiosity and desire to try smoking” for nonsmokers. In the third part of the questionnaire, we measured health and social risks perceptions by using 4 statements. Respondents were asked to indicate their agreement/disagreement with each of the 5- point Likert scales culled from Kim (2006): Smoking makes me “contract various diseases and become addicted (health risks); Smoking makes me look “stupid, filthy (social risks). The last part of the questionnaire asked respondents about their smoking status and demographics including age, gender and the level of education. We collected the data by posting a copy of the questionnaire online on a website dedicated to discussing higher education issues in Turkey (www.akademikpersonel.org). We obtained an effective sample size of 432 after removing those with incomplete answers. Male and female respondents constituted 50 % of the sample each. The largest percentage of respondents was in the age group of 17 to 22 (35 %). Respondents (249) who have achieved the level of a college undergraduate degree or equivalent on education constituted 58 % of the sample. We conducted Chi-sqaure analyses to test significance of demographic differences between the two groups of smokers and nonsmokers. The results revealed no significant differences on age (χ2/3df=4.83; p=0.185), gender (χ2/1df=2.70; p=0.123) and the level of education (χ2/2df= 0.873; p= 0.646) between the smoking and nonsmoking subsamples. ResultsWe used WarpPLS 5.0 to conduct the structural model analyses as this analysis tool does not require the data set to be normally distributed (Kock & Lynn, 2012). We first tested the measurement scales with respect to their convergent and discriminant validities through standardized factor loadings. We conducted an Exploratory Factor Analysis (EFA). We eliminated two items on the credibility scale, which did not reach at least 0.5 on factor loadings for both subsamples. The two remaining items are “believable” and “convincing”. We then evaluated reliabilities of the scales for both subsamples, results for both subsamples showed that both credibility and health risk scales achieved Cronbach’s α scores higher than 0.7. Even though the Cronbach α score for the two items scale to measure social risk only reached a value of 0.6 for each of the subsample, this is considered adequate due to the smaller number of items used (Field, 2013). We assessed the assumptions of PLS-SEM. Variance inflation factors (VIFs) are well below the recommended 3.30. Hence, both vertical and lateral collinearity assumptions were met, thus deemed to be free from the common method bias (Kock & Lynn, 2012). We then evaluated convergent and discriminant validities of the latent construct. Discriminant validity was achieved as the square roots of AVE (average variance extracted) scores were higher than and correlation of the factor with another measure (Fornell & Larcker, 1981). For each subsample, composite reliabilities of all factors were higher than 0.8 and indicators’ loadings higher than 0.5 on the latent constructs. Thus, all scales used in the model achieved convergent validities for each subsample. We then proceeded to test the structural model for each of the subsamples. The results showed that for nonsmokers, the model explained 12% of total variance in the effectiveness of HWMs and for smokers 33%. All path coefficients were significant for nonsmokers except the health risks → HWMs effectiveness (β= 0.05, p= 0.23). Other path coefficients all showed significance as follows: perceived credibility of HWMs → perceived health risks (β= 0.154, p= 0.01), perceived credibility → perceived social risks (β= 0.148, p= 0.014), perceived credibility of HWMs → perceived effectiveness (β= 0.285, p < 0.01) and perceived social risk → perceived effectiveness (β= 0.148, p < 0.014). For the smokers’ subsample, the path coefficient between the perceived health risks and effectiveness was also shown to be non-significant (β= 0.06, p= 0.19). All other path coefficients all showed significance as follows: perceived credibility of HWMs → perceived health risks (β= 0.197, p < 0.01), perceived credibility → perceived social risks (β= 0.247, p< 0.001), perceived credibility of HWMs → perceived effectiveness (β= 0.503, p < 0.001) and perceived social risk → perceived effectiveness (β= 0.213, p < 0.001). These results confirmed H1, H2, H3 and H5 but not H4 for both smokers and nonsmokers. Discussion and Conclusion This study reveals some useful insights about how HWMs on cigarette packages may influence smokers and nonsmokers differently in an emerging country- Turkey, which can be used by public policy makers to formulate effective anti-smoking campaigns to target the two groups. The effect sizes appeared to be greater for smokers than nonsmokers. This suggests that if these HWMs can be crafted to be perceived as more credible, the smokers can be more persuaded to quit smoking than for nonsmokers to start smoking. These results appear to be consistent across the board whether we are considering the direct effect or indirect effects through the mediating variables. This is perhaps somewhat consistent with what we would expect based on our earlier discussions. Smokers may be more resistant to HWMs due to the fact they are already engaged in such behavior and therefore more likely to discount the messages as well as the associated health and social risk perceptions. For nonsmokers, on the other hand, it may not take as much to convince them about the harmful effects of smoking and therefore greater perceived credibility of HWMs may be less critical in persuading them not to start smoking. It is important then when designing such HWMs to consider carefully whether these messages are perceived to be credible. Some of the US cigarette warning messages printed in tiny scripts are ambiguous such as smoking can be harmful to your health clearly can not be expected to be highly credible. Research has also shown that pictorial messages can be more persuasive. However, research has also shown that the results are far from being conclusive (Sabbane, et al., 2009). More research is warranted, especially in emerging countries. It is also interesting to note that social risks perceptions are more persuasive than health risks perceptions. Future communications strategies should place a greater emphasis on this factor and not just on health risks. Limitations and Suggestions for Further Research Although our study is able to provide some useful insights into how perceived credibility of HWMs can influence the effectiveness in deterring smoking among nonsmokers and smokers alike either directly or indirectly through perceived health and social risks, we would like to point out several limitations of this study. First, we collected our data online using a web portal in Turkey that focuses on discussing higher education issues in general and therefore the respondents’ level of education is higher than the general population as well as the age group being younger. Future study should collect data from other age groups and education levels to produce results that are more generalizable. We conducted our study in one emerging country- Turkey. In future studies, more countries should be included. As the results revealed the prominence of social risks over health risks in influencing the effectiveness of anti-smoking campaigns, the issue about how to promote the social wellbeing of not smoking (promotional) versus the health risks aspects of the campaign warrants further research.

PURPOSES: This study aims to analyze how the installation of advanced warning devices affects individual drivers’driving behaviors with operating record data collected from 100 vehicles. METHODS: With collected data, the changes in individual drivers’driving behaviors, such as Forward Collision Warning (FCW) and Lane Departure Warning (LDW), were investigated with respect to the cumulative distance traveled and driving time. For the analysis, operating record data collected from 100 vehicles for seven months were used. RESULTS: The results showed that individual drivers’driving behaviors could be categorized into six different types. In addition, most of the drivers showed unstable warning patterns in the initial stage after installation of an advanced warning device. Approximately 40% of vehicles equipped with advanced warning systems were found to have positive effects, indicating that the frequencies of both FCW and LDW had been continuously decreasing after installation of the system. CONCLUSIONS : The warning device might be helpful for making drivers’driving behaviors safer. Driving behaviors during the initial stage of the system installation, which might be regarded as an adaptation phase, were found to be very unstable compared with normal situations, indicating that adequate education and training should be provided to all the drivers to prevent operator disruption at the initial installation of the system.

This study have been conducted to analyze the feasibility of establishing Contamination Warning System(CWS) that is capable of monitoring early natural or intentional water quality accidents, and providing active and quick responses for domestic C_water supply system. In order to evaluate the water quality data set, pH, turbidity and free residual chlorine concentration data were collected and each statistical value(mean, variation, range) was calculated, then the seasonal variability of those were analyzed using the independent t-test. From the results of analyzing the distribution of outliers in the measurement data using a high-pass filter, it could be confirmed that a lot of lower outliers appeared due to data missing. In addition, linear filter model based on autoregressive model(AR(1) and AR(2)) was applied for the state estimation of each water quality data set. From the results of analyzing the variability of the autocorrelation coefficient structure according to the change of window size(6hours~48hours), at least the window size longer than 12hours should be necessary for estimating the state of water quality data satisfactorily.

Defended (distasteful or toxic) prey are often characterized by conspicuous coloration and this phenomenon is called "aposematism". The main advantage of aposematism is that it promotes faster learning by predators to avoid the prey. Some defended prey species use a different strategy; they remain cryptic in the normal state, but display conspicuous aposematic signal (which is normally hidden) in response to a predator's approach/attack. This anti-predator strategy of a defended prey has not been well studied yet although it can theoretically give the benefits of both camouflage and aposematism. Here, we investigated the effectiveness of this ‘hidden-aposematic signal’ as a warning signal. Using wild tits (Parus minor) as predator and novel artificial prey models (which mimics wings of insects), we tested whether hidden conspicuous signal of a defended prey enhances the avoidance learning rate of predators and how does it compare with the typical conspicuous/non-conspicuous signal. We found that hidden conspicuous signal indeed enhances the avoidance learning rate of predators in comparison with the non-conspicuous signal. However the overall learning rate by predators to avoid the defended prey was slower than for the normal conspicuous signal. Our results suggest that the prey with hidden-aposematic signals could enjoy both the benefits camouflage and the benefits of aposematism that are however lower than benefits from a typical aposematic signal. We, for the first time, highlight the functional aspect of a unique, but yet largely ignored, defensive coloration of prey.

해양경찰 경비함정에서 근무하는 경찰관, 전경 등 승조원이 바다로 추락하는 사고가 발생할 경우 CCTV 영상을 실시간으로 분석하여 경보를 발령하고 즉시 구조할 수 있는「함정 승조원 추락 경보 시스템」을 개발하였다. 길게는 7박 8일의 출동 임무를 수행하는 함정요원들은 수시로 급변하는 해상기상의 영향을 많이 받는 함상생활 중 불의의 추락사고를 당할 위험에 노출 돼 있는 것이 사실이다.

본고는 울주군에 소재하는 연변․내지봉수의 현황과 특징을 고찰한 글이다. 울주군에는 총 4기의 봉수가 소재한다. 이들 봉수의 設置目的은 여말선초 동남해안 지역으로 극심한 침입을 하였던 왜구의 방어 목적에서 축조되었다. 初築時期는 조선 전기 이전의 연변봉수 2기와, 조선 전기 축조의 내지봉수 2기로 구분된다. 路線과 性格上제2거 직봉의 내지봉수 2기와 제2거 간봉(1)의 연변봉수 2기로 구분된다. 따라서 동일 지역임에도 각기 다른 2기 노선의 봉수가 지나는 곳이었다. 봉수의 설치목적과 초축시기가 성격에 따라 다르며 노선이 다른 만큼 구조․형태적으로도 다양한 특성을 보인다. 즉, 연변봉수 2기는 거화시설인 연대를 공통적으로 갖추고 있으며 방호시설인 방호벽과 호가 이길봉수에서 확인된다. 내지봉수 2기는 방호벽을 공통적으로 갖추고 있으며 거화시설인 연조가 부로산봉수에서 유일하게 확인된다. 海拔高度또한 차이가 뚜렷한데, 전체적으로 100~400m이내의 높이에 위치한다. 울주군 소재 4기 봉수의 평균 해발높이는 222m이다. 세부적으로 직봉 2기 내지봉수의 평균 해발높이는 317m이며, 간봉(1) 2기 연변봉수의 평균 해발높이는 126m이다. 對應烽燧간 距離는 직봉의 2기 내지봉수 대응거리가 평균 12.75km인 반면, 간봉(1)의 2기 연변봉수 대응거리는 평균 5.5km이다. 아울러 울주군 소재 4기 봉수의 전체 평균거리는 9.1km로서 10km이내의 근거리에서 상호 대응하였다. 築造形態는 하산봉수를 제외한 3기 모두 석축이다.

The issue of health risks from consuming unhealthy product is an important issue that is happening right now. Both developed and developing countries are already aware of the need for attention to the health-risk products. One tool that is believed to be able to change the consumption behavior of the health-risk products is the use of warning label on product packaging. As a persuasive act, both visual and textual warning label are believed to be able to change people's consumption behavior. In addition to the labels that contain health hazards, this research also uses social consequence contents. The main targets of such unhealthy product marketing are children and adolescents. Correspondingly, this study targets the age groups of kids and tweens. The method used in this research is experiment, involving 180 participants from two age groups namely kids and tweens. As a result, the study found that the influence of warning label on the age of tweens is greater in the age of the children. Meanwhile, the use of visual and textual warning label using social consequences contents, proved to be effective at the age of tweens. These results are useful for enrich social marketing subjects, especially within warning label research.

Heat watch warning systems are operating in Korea and several other countries (China, the United Kingdom, France, the United States, Germany, Australia, and Japan). The heat wave indices used in this system are the heat index, perceived temperature, the wet bulb globe temperature, and the daily maximum temperature. To improve the heat wave advisory and warning system, some suggestions have been made. The meteorological-health index (i.e., indirect index), has especially been proposed in previous studies. This information should be provided not only to vulnerable groups (seniors, infants, and children), but also to outdoor workers who may be particularly exposed to heat waves. In addition, to have sufficient preemptive response times, the need for an extension of the heat watch warning period was suggested. Finally, the subdivision of administrative units and risk stages was proposed.