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Highlights in Korea's 2023 foreign policy

It has been a challenging year for Korea’s foreign and security policy. The war in Ukraine continued to drag on. A new war broke out in the Gaza Strip on Oct. 7, and North Korea’s development of, and threats to use, nuclear weapons continued to aggravate. Each of these events was related to each other and posed serious challenges for Korea. The Korean government responded with bold and timely responses throughout the year. ....

United States , Pusan Gwangyoksi , South Korea , North Korea , Gaza Strip , Soult Ukpyolsi , Saudi Arabia , South Korean , Yoon Suk Yeol , Mining Security Partnership , Nuclear Consultation Group , President Yoon Suk Yeol , Camp David , President Biden , Prime Minister Kishida , Presidents Yoon , Washington Declaration , Defense Ministers , Security Consultative Meeting , Tailored Deterrence Strategy , Defense Minister Shin Won Sik , Member State Defense Ministerial Meeting , Science Act , Inflation Reduction Act , Indo Pacific Economic Framework , Mining Security ,

"Mining security assessment in an underground environment using a novel" by Xinhua Liu, Peng Qi et al.

Overstaffing production in underground coal mining is not convenient for daily management, and incomplete information of coal miners hinders the rescue process of firefighters during mine accidents. To address this safety sustainability issue, a novel face recognition method based on an improved multiscale neural network is proposed in this paper. A new depthwise separable (DS)-inception block is designed and a joint supervised loss function based on center loss theory is developed to construct a new multiscale model. The miniers can be recognized in the harsh underground environment during the life rescue. Experimental results show that the accuracy, recall and F1-score indexes of the proposed method for the miner face recognition in the underground mining environment are 97.26%, 94.17% and 95.42%, respectively. Transfer model with joint supervised loss can effectively improve the recognition accuracy by about 0.5–1.5%. In addition, the average recognition accuracy of the proposed f ....

Artificial Neural Network , Oal Safety Assessment , Mining Security , Transfer Learning ,

Mining of minerals resources

Mining of minerals resources
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