Binary Decision Diagrams (BDDs) can be graphically manipulated to reduce the number of nodes and hence the area. In this context, ordering of BDDs play a major role. Most of the algorithms for input variable ordering ...Binary Decision Diagrams (BDDs) can be graphically manipulated to reduce the number of nodes and hence the area. In this context, ordering of BDDs play a major role. Most of the algorithms for input variable ordering of OBDD focus primarily on area minimization. However, suitable input variable ordering helps in minimizing the power consumption also. In this particular work, we have proposed two algorithms namely, a genetic algorithm based technique and a branch and bound algorithm to find an optimal input variable order. Of course, the node reordering is taken care of by the standard BDD package buddy-2.4. Moreover, we have evaluated the performances of the proposed algorithms by running an exhaustive search program. Experi-mental results show a substantial saving in area and power. We have also compared our techniques with other state-of-art techniques of variable ordering for OBDDs and found to give superior results.展开更多
中试含能材料废水含各类高浓度含氮化合物(氨氮(NH_(3)─N)、亚硝酸盐(NO_(2)^(-))、硝酸盐(NO3-)等)和有机污染物,是一类极难降解的废水。为实现对含能材料废水中含氮化合物的高效、定向去除,采用热丝化学气相沉积(热丝化学气相沉积法(...中试含能材料废水含各类高浓度含氮化合物(氨氮(NH_(3)─N)、亚硝酸盐(NO_(2)^(-))、硝酸盐(NO3-)等)和有机污染物,是一类极难降解的废水。为实现对含能材料废水中含氮化合物的高效、定向去除,采用热丝化学气相沉积(热丝化学气相沉积法(HFCVD))法制备的掺硼金刚石(BDD)电极对其进行电化学降解,重点研究了氯化钠和硫酸钠等电解质成分及浓度、修饰电极类型(如Cu/BDD、Ni/BD电极)及电解装置结构(单池、双池)对含氮化合物降解效果的影响。结果表明:在含能材料废水中添加0.1 M氯化钠电解质有助于提高NH3─N直接转化为氮气(N_(2))的选择性;采用Cu/BDD、Ni/BDD阴极可加速高价氮向NH_(3)─N的转化过程;双电解池结构体系下,以Cu/BDD、Ni/BDD电极为阳极可以提高NH3─N转化为N_(2)的降解速率。因此,采用金属修饰BDD电极为阳极的双电解池结构在添加0.1 M NaCl电解质情况下有望对宏量含能材料废水进行快速、高效、高选择性降解。展开更多
采用微波等离子体技术在CH4-H2-C2H6气体条件下制备了钛基掺硼金刚石薄膜。四点探针法测得薄膜电阻率在零掺杂时为1×1012Ω·cm,当反应气源中B/C上升为5×10-3时电阻率降至5×10-3Ω·cm。扫描电镜显示掺硼金刚石...采用微波等离子体技术在CH4-H2-C2H6气体条件下制备了钛基掺硼金刚石薄膜。四点探针法测得薄膜电阻率在零掺杂时为1×1012Ω·cm,当反应气源中B/C上升为5×10-3时电阻率降至5×10-3Ω·cm。扫描电镜显示掺硼金刚石具有完整晶型和致密结构。拉曼光谱观察到金刚石结构在掺杂前后发生明显改变。采用循环伏安测试了Ti/BDD电极的电化学参量,并与PbO2,Sn-Sb and PbO2-Er三种电极进行阳极氧化对-硝基酚的对比实验。结果表明,在Ti/BDD电极上,对-硝基酚的总有机碳去除率接近100%,远高于其它三种电极。展开更多
文摘Binary Decision Diagrams (BDDs) can be graphically manipulated to reduce the number of nodes and hence the area. In this context, ordering of BDDs play a major role. Most of the algorithms for input variable ordering of OBDD focus primarily on area minimization. However, suitable input variable ordering helps in minimizing the power consumption also. In this particular work, we have proposed two algorithms namely, a genetic algorithm based technique and a branch and bound algorithm to find an optimal input variable order. Of course, the node reordering is taken care of by the standard BDD package buddy-2.4. Moreover, we have evaluated the performances of the proposed algorithms by running an exhaustive search program. Experi-mental results show a substantial saving in area and power. We have also compared our techniques with other state-of-art techniques of variable ordering for OBDDs and found to give superior results.
文摘中试含能材料废水含各类高浓度含氮化合物(氨氮(NH_(3)─N)、亚硝酸盐(NO_(2)^(-))、硝酸盐(NO3-)等)和有机污染物,是一类极难降解的废水。为实现对含能材料废水中含氮化合物的高效、定向去除,采用热丝化学气相沉积(热丝化学气相沉积法(HFCVD))法制备的掺硼金刚石(BDD)电极对其进行电化学降解,重点研究了氯化钠和硫酸钠等电解质成分及浓度、修饰电极类型(如Cu/BDD、Ni/BD电极)及电解装置结构(单池、双池)对含氮化合物降解效果的影响。结果表明:在含能材料废水中添加0.1 M氯化钠电解质有助于提高NH3─N直接转化为氮气(N_(2))的选择性;采用Cu/BDD、Ni/BDD阴极可加速高价氮向NH_(3)─N的转化过程;双电解池结构体系下,以Cu/BDD、Ni/BDD电极为阳极可以提高NH3─N转化为N_(2)的降解速率。因此,采用金属修饰BDD电极为阳极的双电解池结构在添加0.1 M NaCl电解质情况下有望对宏量含能材料废水进行快速、高效、高选择性降解。
文摘采用微波等离子体技术在CH4-H2-C2H6气体条件下制备了钛基掺硼金刚石薄膜。四点探针法测得薄膜电阻率在零掺杂时为1×1012Ω·cm,当反应气源中B/C上升为5×10-3时电阻率降至5×10-3Ω·cm。扫描电镜显示掺硼金刚石具有完整晶型和致密结构。拉曼光谱观察到金刚石结构在掺杂前后发生明显改变。采用循环伏安测试了Ti/BDD电极的电化学参量,并与PbO2,Sn-Sb and PbO2-Er三种电极进行阳极氧化对-硝基酚的对比实验。结果表明,在Ti/BDD电极上,对-硝基酚的总有机碳去除率接近100%,远高于其它三种电极。
