简介:从青春少年到如今的不惑之年,从一般工作人员成长为基层海事处领导,他就是默默扎根洞头海岛22年,现任温州海事局洞头海事处副处长的吴海峰。22年来,他辛勤付出,荣获浙江省上海世博会“环沪护城河”安保工作先进个人、浙江海事局先进个人、优秀共产党员、第二届“海之美”廉洁守护者。这些荣誉就是他默默坚守丰收的硕果。高中毕业那年,父亲因病早逝,为了照顾家庭,19岁的他毅然选择了继承父业,成为了洞头航管所有史以来最年轻的一名职工。那些与他父亲同龄的父辈们看着他长大,对他可以说是知根知底:“别看吴海峰个子小,但做起事来有板有眼,不输那些科班出身的职工。”
简介:Thecriticaltechnicalproblemofunderwaterbottomobjectdetectionisfoundingastablefeaturespaceforechosignalsclassification.Thepastliteraturesmorefocusonthecharacteristicsofobjectechoesinfeaturespaceandreverberationisonlytreatedasinterference.Inthispaper,reverberationisconsideredasakindofsignalwithsteadycharacteristic,andtheclusteringofreverberationinfrequencydiscretewavelettransform(FDWT)featurespaceisstudied.Inordertoextracttheidentifyinginformationofechosignals,featurecompressionandclusteranalysisareadoptedinthispaper,andthecriterionofseparabilitybetweenobjectechoesandreverberationisgiven.TheexperimentaldataprocessingresultsshowthatreverberationhassteadypatterninFDWTfeaturespacewhichdiffersfromthatofobjectechoes.Itisproventhatthereisseparabilitybetweenreverberationandobjectechoes.
简介:Inunderwatertargetdetection,thebottomreverberationhassomeofthesamepropertiesasthetargetecho,whichhasagreatimpactontheperformance.Itisessentialtostudythedifferencebetweentargetechoandreverberation.Inthispaperbasedontheuniqueadvantageofhumanlisteningabilityonobjectsdistinction,theGammatonefilteristakenastheauditorymodel.Inaddition,time-frequencyperceptionfeaturesandauditoryspectrafeaturesareextractedforactivesonartargetechoandbottomreverberationseparation.Thefeaturesoftheexperimentaldatahavegoodconcentrationcharacteristicsinthesameclassandhavealargeamountofdifferencesbetweendifferentclasses,whichshowsthatthismethodcaneffectivelydistinguishbetweenthetargetechoandreverberation.
简介:为了掌握长江口北部沿海地区雾的生消规律以及为其开展雾的生消预测提供参考依据,利用1981—2010年南通、启东、海门三个气象观测站地面气象观测资料,统计分析了长江口北部沿海地区雾的气候特征及其与气象要素的关系。结果表明:长江口北部沿海地区的雾具有较明显的年际变化特征,平均每年有16—17天,出现浓雾(能见度≤0.5km)的概率达60%以上;季节变化明显,冬季最多、春季和秋季其次、夏季最少;主要发生在下半夜到清晨,日出以后雾逐渐消散。有利于长江口北部沿海地区雾形成的气象条件是:相对湿度90%以上,风向为E-ESE-SE-SSE,风速4m/s以下,海平面气压在101.5~103.0kPa之间,气温在2℃~20℃的区间内。风速越小,相对湿度越大,形成的雾越浓。