公开(公告)号：US08753535B2

公开(公告)日：2014-06-17

申请号：US13522533

申请日：2011-01-11

Applicant: Prakash Kumar ,  Manoj Kumar Srivastava ,  Kalpana Gopalakrishnan ,  Vijay Kumar Kaushik ,  Vijayalakshmi Ravi Puranik

Inventor： Prakash Kumar ,  Manoj Kumar Srivastava ,  Kalpana Gopalakrishnan ,  Vijay Kumar Kaushik ,  Vijayalakshmi Ravi Puranik

IPC: B01J20/12 ,  B01J20/08 ,  B01J20/04

CPC classification number: B01J20/12 ,  B01J20/04 ,  B01J20/08 ,  B01J20/28004 ,  B01J20/28011 ,  B01J20/28019 ,  B01J20/28061 ,  B01J20/28071 ,  B01J20/28085 ,  B01J20/3021 ,  B01J20/3028 ,  B01J20/3078 ,  B01J20/3204 ,  B01J20/3236 ,  B01J2220/42 ,  C08F6/02 ,  C08L23/00

Abstract: A solid shaped composite adsorbent for reducing deactivated catalyst residues and contaminants from a post polyolefin solution polymerization mixture is disclosed. The composite adsorbent comprises 70-90 wt % of an alumina component; 30-10 wt % of a clay component; and 0.5-3.5 wt % of at least one alkali metal component selected from the group consisting of elements in Group 1A of the modern periodic table.

Abstract translation: 公开了一种用于从后聚烯烃溶液聚合混合物中还原失活的催化剂残余物和污染物的固体复合吸附剂。 复合吸附剂包含70-90重量％的氧化铝组分; 30-10重量％的粘土组分; 和0.5-3.5重量％的至少一种选自现代周期表的1A族元素的碱金属组分。

公开(公告)号：US20130341563A1

公开(公告)日：2013-12-26

申请号：US13522533

申请日：2011-01-11

Applicant: Prakash Kumar ,  Manoj Kumar Srivastava ,  Kalpana Gopalakrishnan ,  Vijay Kumar Kaushik ,  Vijayalakshmi Ravi Puranik

Inventor： Prakash Kumar ,  Manoj Kumar Srivastava ,  Kalpana Gopalakrishnan ,  Vijay Kumar Kaushik ,  Vijayalakshmi Ravi Puranik

IPC: B01J20/12

CPC classification number: B01J20/12 ,  B01J20/04 ,  B01J20/08 ,  B01J20/28004 ,  B01J20/28011 ,  B01J20/28019 ,  B01J20/28061 ,  B01J20/28071 ,  B01J20/28085 ,  B01J20/3021 ,  B01J20/3028 ,  B01J20/3078 ,  B01J20/3204 ,  B01J20/3236 ,  B01J2220/42 ,  C08F6/02 ,  C08L23/00

Abstract: A solid shaped composite adsorbent for reducing deactivated catalyst residues and contaminants from a post polyolefin solution polymerization mixture is disclosed. The composite adsorbent comprises 70-90 wt % of an alumina component; 30-10 wt % of a clay component; and 0.5-3.5 wt % of at least one alkali metal component selected from the group consisting of elements in Group 1A of the modern periodic table.

Abstract translation: 公开了一种用于从后聚烯烃溶液聚合混合物中还原失活的催化剂残余物和污染物的固体复合吸附剂。 复合吸附剂包含70-90重量％的氧化铝组分; 30-10重量％的粘土组分; 和0.5-3.5重量％的至少一种选自现代周期表的1A族元素的碱金属组分。

公开(公告)号：US08484217B1

公开(公告)日：2013-07-09

申请号：US13045028

申请日：2011-03-10

Applicant: Manoj Kumar Srivastava ,  William Andrews Walker ,  Eric Alexander Olson ,  Steven Robert Smith

Inventor： Manoj Kumar Srivastava ,  William Andrews Walker ,  Eric Alexander Olson ,  Steven Robert Smith

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30864 ,  G06F19/00 ,  Y02A90/26

Abstract: Methods and systems for collecting and processing large volumes of data to determine the relevancy and value thereof comprise: deploying one or more data retrieval modules to interface with one or more data sources within the local network, wherein the one or more data retrieval modules comprise executable program code; executing the one or more data retrieval modules to perform operations comprising: accessing application data representing data stored or communicated through the one or more data sources; and forwarding the application data for analysis; and analyzing the forwarded application data to determine whether it is relevant to the topic, wherein the analyzing is performed by one or more devices within the local network.

Abstract translation: 用于收集和处理大量数据以确定其相关性和价值的方法和系统包括：将一个或多个数据检索模块部署到与本地网络内的一个或多个数据源接口，其中所述一个或多个数据检索模块包括可执行 程序代码; 执行所述一个或多个数据检索模块以执行操作，包括：访问表示通过所述一个或多个数据源存储或传达的数据的应用数据; 并转发应用数据进行分析; 以及分析所转发的应用数据以确定其是否与所述主题相关，其中所述分析由所述本地网络内的一个或多个设备执行。

公开(公告)号：US20120096553A1

公开(公告)日：2012-04-19

申请号：US12907721

申请日：2010-10-19

Applicant: Manoj Kumar Srivastava ,  William Andrews Walker ,  Eric Alexander Olson

Inventor： Manoj Kumar Srivastava ,  William Andrews Walker ,  Eric Alexander Olson

IPC: G06F21/00 ,  G06F15/16

CPC classification number: G06Q10/107 ,  G06F15/16 ,  G06F21/00 ,  G06F21/56 ,  H04L51/12 ,  H04L51/32 ,  H04L63/1425 ,  H04L63/1441

Abstract: Methods and systems for detecting social engineering attacks comprise: extracting one or more non-semantic data items from an incoming email; determining whether the one or more non-semantic data items match information stored in a data store of previously collected information; performing behavioral analysis on the one or more non-semantic data items; analyzing semantic data associated with the email to determine whether the non-semantic data matches one or more patterns associated with malicious emails; and based on the determining, performing, and analyzing, identifying the email as potentially malicious or non-malicious. The system also includes processes for collecting relevant information for storage within the data store and processes for harvesting information from detected social engineering attacks for entry into the data store and seeding of the collection processes.

Abstract translation: 用于检测社会工程攻击的方法和系统包括：从传入的电子邮件中提取一个或多个非语义数据项; 确定所述一个或多个非语义数据项是否与先前收集的信息的数据存储中存储的信息相匹配; 对一个或多个非语义数据项执行行为分析; 分析与所述电子邮件相关联的语义数据，以确定所述非语义数据是否匹配与恶意电子邮件相关联的一个或多个模式; 并且基于确定，执行和分析，将该电子邮件识别为潜在的恶意或非恶意的。 该系统还包括用于收集用于在数据存储器内存储的相关信息的过程，以及用于从检测到的社会工程攻击中收集信息的过程，以进入数据存储和收集流程。

公开(公告)号：US09123027B2

公开(公告)日：2015-09-01

申请号：US12907721

申请日：2010-10-19

Applicant: Manoj Kumar Srivastava ,  William Andrews Walker ,  Eric Alexander Olson

Inventor： Manoj Kumar Srivastava ,  William Andrews Walker ,  Eric Alexander Olson

IPC: G06Q10/10 ,  G06F21/56 ,  H04L12/58 ,  H04L29/06 ,  G06F15/16 ,  G06F21/00

CPC classification number: G06Q10/107 ,  G06F15/16 ,  G06F21/00 ,  G06F21/56 ,  H04L51/12 ,  H04L51/32 ,  H04L63/1425 ,  H04L63/1441

Abstract: Methods and systems for detecting social engineering attacks comprise: extracting one or more non-semantic data items from an incoming email; determining whether the one or more non-semantic data items match information stored in a data store of previously collected information; performing behavioral analysis on the one or more non-semantic data items; analyzing semantic data associated with the email to determine whether the non-semantic data matches one or more patterns associated with malicious emails; and based on the determining, performing, and analyzing, identifying the email as potentially malicious or non-malicious. The system also includes processes for collecting relevant information for storage within the data store and processes for harvesting information from detected social engineering attacks for entry into the data store and seeding of the collection processes.

Abstract translation: 用于检测社会工程攻击的方法和系统包括：从传入的电子邮件中提取一个或多个非语义数据项; 确定所述一个或多个非语义数据项是否与先前收集的信息的数据存储中存储的信息相匹配; 对一个或多个非语义数据项执行行为分析; 分析与所述电子邮件相关联的语义数据，以确定所述非语义数据是否匹配与恶意电子邮件相关联的一个或多个模式; 并且基于确定，执行和分析，将该电子邮件识别为潜在的恶意或非恶意的。 该系统还包括用于收集用于在数据存储器内存储的相关信息的过程，以及用于从检测到的社会工程攻击中收集信息的过程，以进入数据存储和收集流程。