In Ivory Coast,beekeeping takes an important place among the major economic activities.It contributes to improv-ing the population’s livelihoods thanks to its derived products which are honey,propolis,wax and royal j...In Ivory Coast,beekeeping takes an important place among the major economic activities.It contributes to improv-ing the population’s livelihoods thanks to its derived products which are honey,propolis,wax and royal jelly.How-ever,the installation of honey bee hives could put pressure on wild bee species,which often live solitary.However,these wild bees are excellent pollinators of cultivated and wild plants.The study aimed to assess the effect of honey bee hives on the diversity of wild bees.The methodology approach consisted of capturing bees in three different plots inside the forest fragment of the botanical garden located at the University Peleforo Gon Coulibaly.The first plot was chosen approximately from 10 m to an apiary containing ten hives.The two other plots were chosen to be 200 m and 400 m from the apiary,respectively.Bees were captured once a month for three months using pan traps(UV—blue,yellow and white).A total of 17 bee species belonging to three families(Apidae,Megachilidae and Halictidae)were identified.The furthest plot from the apiary was the most diverse(H’=2.49)and that near the apiary was the least diverse(H’=0.11).Only,two wild bee species,Hypotrigona sp.and Thrinchostoma petersi,persisted inside the plot nearby the apiary where honey bees were most abundant.The furthest plots from the apiary seem to have the highest diversity of wild bees.These findings are very relevant because they can be used for the policies of conservation of wild bees and the management of beekeeping activities.展开更多
Hives,medically known as urticaria,is a vascular reaction of the skin characterized by the appearance of red,swollen marks and is associated with severe itching,stinging or pricking sensations.
分布式计算框架(HadoopMapReduce)解决了大数据分布式计算和并发计算问题,具有良好的扩展性和容错性,非常适合超大规模数据处理和分析。Hive基于HadoopMapReduce构建数据仓库分析系统,提供丰富的结构化查询语言(Structured Query Langua...分布式计算框架(HadoopMapReduce)解决了大数据分布式计算和并发计算问题,具有良好的扩展性和容错性,非常适合超大规模数据处理和分析。Hive基于HadoopMapReduce构建数据仓库分析系统,提供丰富的结构化查询语言(Structured Query Language,SQL)查询能力,可将SQL语句转变成MapReduce任务执行分析数据。但是,MapReduce本身的特点(Map阶段和Reduce阶段)使得其在多表关联和复杂SQL场景时运行较慢。因此,基于真实场景打造了一套通过TEZ引擎和LLAP(Live Long and Process)技术结合来提升Hive查询能力的系统,面对复杂的多表关联查询、使用频率较高的复杂查询时能够快速高效率执行,缩短了用户等待时间。展开更多
Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints.A parallel computational environment pro-vided by Apache Hadoop can distribute and process the data over differen...Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints.A parallel computational environment pro-vided by Apache Hadoop can distribute and process the data over different desti-nation systems.In this paper,the Hadoop cluster with four nodes integrated with RHadoop,Flume,and Hive is created to analyze the tweets gathered from the Twitter stream.Twitter stream data is collected relevant to an event/topic like IPL-2015,cricket,Royal Challengers Bangalore,Kohli,Modi,from May 24 to 30,2016 using Flume.Hive is used as a data warehouse to store the streamed tweets.Twitter analytics like maximum number of tweets by users,the average number of followers,and maximum number of friends are obtained using Hive.The network graph is constructed with the user’s unique screen name and men-tions using‘R’.A timeline graph of individual users is generated using‘R’.Also,the proposed solution analyses the emotions of cricket fans by classifying their Twitter messages into appropriate emotional categories using the optimized sup-port vector neural network(OSVNN)classification model.To attain better classi-fication accuracy,the performance of SVNN is enhanced using a chimp optimization algorithm(ChOA).Extracting the users’emotions toward an event is beneficial for prediction,but when coupled with visualizations,it becomes more powerful.Bar-chart and wordcloud are generated to visualize the emotional analysis results.展开更多
文摘In Ivory Coast,beekeeping takes an important place among the major economic activities.It contributes to improv-ing the population’s livelihoods thanks to its derived products which are honey,propolis,wax and royal jelly.How-ever,the installation of honey bee hives could put pressure on wild bee species,which often live solitary.However,these wild bees are excellent pollinators of cultivated and wild plants.The study aimed to assess the effect of honey bee hives on the diversity of wild bees.The methodology approach consisted of capturing bees in three different plots inside the forest fragment of the botanical garden located at the University Peleforo Gon Coulibaly.The first plot was chosen approximately from 10 m to an apiary containing ten hives.The two other plots were chosen to be 200 m and 400 m from the apiary,respectively.Bees were captured once a month for three months using pan traps(UV—blue,yellow and white).A total of 17 bee species belonging to three families(Apidae,Megachilidae and Halictidae)were identified.The furthest plot from the apiary was the most diverse(H’=2.49)and that near the apiary was the least diverse(H’=0.11).Only,two wild bee species,Hypotrigona sp.and Thrinchostoma petersi,persisted inside the plot nearby the apiary where honey bees were most abundant.The furthest plots from the apiary seem to have the highest diversity of wild bees.These findings are very relevant because they can be used for the policies of conservation of wild bees and the management of beekeeping activities.
文摘Hives,medically known as urticaria,is a vascular reaction of the skin characterized by the appearance of red,swollen marks and is associated with severe itching,stinging or pricking sensations.
文摘分布式计算框架(HadoopMapReduce)解决了大数据分布式计算和并发计算问题,具有良好的扩展性和容错性,非常适合超大规模数据处理和分析。Hive基于HadoopMapReduce构建数据仓库分析系统,提供丰富的结构化查询语言(Structured Query Language,SQL)查询能力,可将SQL语句转变成MapReduce任务执行分析数据。但是,MapReduce本身的特点(Map阶段和Reduce阶段)使得其在多表关联和复杂SQL场景时运行较慢。因此,基于真实场景打造了一套通过TEZ引擎和LLAP(Live Long and Process)技术结合来提升Hive查询能力的系统,面对复杂的多表关联查询、使用频率较高的复杂查询时能够快速高效率执行,缩短了用户等待时间。
文摘Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints.A parallel computational environment pro-vided by Apache Hadoop can distribute and process the data over different desti-nation systems.In this paper,the Hadoop cluster with four nodes integrated with RHadoop,Flume,and Hive is created to analyze the tweets gathered from the Twitter stream.Twitter stream data is collected relevant to an event/topic like IPL-2015,cricket,Royal Challengers Bangalore,Kohli,Modi,from May 24 to 30,2016 using Flume.Hive is used as a data warehouse to store the streamed tweets.Twitter analytics like maximum number of tweets by users,the average number of followers,and maximum number of friends are obtained using Hive.The network graph is constructed with the user’s unique screen name and men-tions using‘R’.A timeline graph of individual users is generated using‘R’.Also,the proposed solution analyses the emotions of cricket fans by classifying their Twitter messages into appropriate emotional categories using the optimized sup-port vector neural network(OSVNN)classification model.To attain better classi-fication accuracy,the performance of SVNN is enhanced using a chimp optimization algorithm(ChOA).Extracting the users’emotions toward an event is beneficial for prediction,but when coupled with visualizations,it becomes more powerful.Bar-chart and wordcloud are generated to visualize the emotional analysis results.
