公开(公告)号：US20240353490A1

公开(公告)日：2024-10-24

申请号：US18757740

申请日：2024-06-28

Applicant: Ee Mei Ooi ,  Prakhar Raj Gupta ,  Ching Sia Lim ,  Ann Poh Gan ,  Teck Wee Patrick Tan ,  Wee Sun Voon ,  Andrew Soon Aun Ong ,  Yew Siong Tew

Inventor： Ee Mei Ooi ,  Prakhar Raj Gupta ,  Ching Sia Lim ,  Ann Poh Gan ,  Teck Wee Patrick Tan ,  Wee Sun Voon ,  Andrew Soon Aun Ong ,  Yew Siong Tew

IPC: G01R31/3185 ,  G01R31/319

CPC classification number: G01R31/318572 ,  G01R31/318536 ,  G01R31/31903

Abstract: Integrated circuit devices, methods, and circuitry for performing boundary scan chain testing is provided. Such an integrated circuit device may include a Joint Test Action Group (JTAG) network, a first input/output (IO) subsystem, and a second IO subsystem. The first IO subsystem includes first segmented boundary scan chain circuitry that can receive JTAG Test Data In (TDI) signals from a main JTAG test access port (TAP) of the JTAG network and use the JTAG TDI signals to perform a first boundary scan chain test. The second IO subsystem includes second segmented boundary scan chain circuitry that can receive the JTAG TDI signals from the main JTAG TAP of the JTAG network and use the JTAG TDI signals to perform a second boundary scan chain test in parallel with the first boundary scan chain test.

公开(公告)号：US20160341668A1

公开(公告)日：2016-11-24

申请号：US15111894

申请日：2015-01-15

Applicant: Raj Gupta ,  Steven Francis Nagle ,  Gajendra P. Singh ,  Owen R. Falk

Inventor： Raj Gupta ,  Steven Francis Nagle ,  Gajendra P. Singh ,  Owen R. Falk

IPC: G01N21/65 ,  G01J3/02 ,  G01J3/44

CPC classification number: G01N21/65 ,  G01J3/0202 ,  G01J3/0208 ,  G01J3/0237 ,  G01J3/0262 ,  G01J3/44 ,  G01N21/4795 ,  G01N21/6458

Abstract: Disclosed herein are systems and methods for performing angled confocal spectroscopy. Angled confocal spectroscopy permits sensitive, non-invasive investigation of numerous analytes in a wide variety of samples, including tissues and bodily fluids. The methods and systems disclosed herein can be used to measure spectroscopic signatures of analytes within well-defined and very small regions of samples, while at the same time achieving superior rejection of signal contributions from analytes within the sample that do not fall within a volume of interest. Accordingly, measurements can be performed at comparatively high signal-to-noise ratios, and can provide information such as concentrations and distributions of sample analytes at high spatial resolution. By using cylindrically-focused illumination light, samples can be excited by a “sheet” of light, allowing spatial signal averaging and enhancing the stability and reproducibility of the measurements.

Abstract translation: 本文公开了用于进行角度共焦光谱的系统和方法。 角度共焦光谱法允许对各种样品（包括组织和体液）中的许多分析物进行敏感，非侵入性的研究。 本文公开的方法和系统可用于测量在定义良好且非常小的样品区域内的分析物的光谱特征，同时从样品内的分析物的信号贡献优先排除不属于 利益。 因此，可以在相对高的信噪比下进行测量，并且可以以高空间分辨率提供诸如样品分析物的浓度和分布的信息。 通过使用圆柱聚焦的照明光，可以通过“片”光来激发样品，从而允许空间信号平均并增强测量的稳定性和再现性。

公开(公告)号：US08706459B2

公开(公告)日：2014-04-22

申请号：US13586067

申请日：2012-08-15

Applicant: Raj Gupta ,  Biplav Srivastava

Inventor： Raj Gupta ,  Biplav Srivastava

IPC: G06G7/48

CPC classification number: G08G1/0108

Abstract: A method for selecting a subset of at least one traffic sensor includes modeling multiple sensor types to generate at least one sensor model, creating a sample space of at least one sensor combination of multiple sensors, modeling traffic movement of a region, running a traffic simulation based on the at least one sensor model, the sample space of at least one sensor combination and traffic movement of the region, wherein the traffic simulation generates multiple candidate sets of sensors, and selecting a subset of the multiple sensors based on the multiple candidate sets of sensors.

Abstract translation: 用于选择至少一个交通传感器的子集的方法包括建模多个传感器类型以生成至少一个传感器模型，创建多个传感器的至少一个传感器组合的样本空间，建立区域的交通运动，运行交通模拟 基于所述至少一个传感器模型，所述区域的至少一个传感器组合和所述交通运动的样本空间，其中所述交通模拟生成多个候选传感器集合，以及基于所述多个候选集合来选择所述多个传感器的子集 的传感器。

公开(公告)号：US08533423B2

公开(公告)日：2013-09-10

申请号：US12976738

申请日：2010-12-22

Applicant: Vikas K. Garg ,  Raj Gupta ,  Ankur Narang

Inventor： Vikas K. Garg ,  Raj Gupta ,  Ankur Narang

IPC: G06F12/00

CPC classification number: G06F9/5016

Abstract: Systems and methods for performing parallel multi-level data computations in a storage system are provided. One system includes a memory storing data, multiple caches, and a processor. The processor is configured to perform the method below. One method includes determining the total amount of data in the memory, dividing the amount of data by each cache capacity to determine the number of nodes needed for processing the data in the memory, and automatically creating the nodes. Here, the nodes form a tree structure including multiple levels where the lowest level includes a first number of nodes equal to the amount of data divided by the cache memory capacity. Also, each lowest level node is configured to process an amount of data equal to the cache memory capacity and each level above the lowest level is configured to include one or more nodes for receiving an input from lower level nodes.

Abstract translation: 提供了用于在存储系统中执行并行多级数据计算的系统和方法。 一个系统包括存储数据，多个高速缓存和处理器的存储器。 处理器配置为执行以下方法。 一种方法包括确定存储器中的总数据量，将数据量除以每个高速缓存容量以确定处理存储器中的数据所需的节点数量，以及自动创建节点。 这里，节点形成包括多个级别的树结构，其中最低级别包括等于由高速缓冲存储器容量划分的数据量的第一数量的节点。 此外，每个最低级节点被配置为处理等于高速缓存存储器容量的数据量，并且最低级别以上的每个级别被配置为包括用于从较低级节点接收输入的一个或多个节点。

公开(公告)号：US20130090904A1

公开(公告)日：2013-04-11

申请号：US13253114

申请日：2011-10-05

Applicant: Raj Gupta ,  Biplav Srivastava

Inventor： Raj Gupta ,  Biplav Srivastava

IPC: G06G7/76

CPC classification number: G08G1/0108

Abstract: A method, an apparatus and an article of manufacture for selecting a subset of at least one traffic sensor. The method includes modeling multiple sensor types to generate at least one sensor model, creating a sample space of at least one sensor combination of multiple sensors, modeling traffic movement of a region, running a traffic simulation based on the at least one sensor model, the sample space of at least one sensor combination and traffic movement of the region, wherein the traffic simulation generates multiple candidate sets of sensors, and selecting a subset of the multiple sensors based on the multiple candidate sets of sensors.

Abstract translation: 一种用于选择至少一个交通传感器的子集的方法，装置和制品。 该方法包括对多个传感器类型建模以生成至少一个传感器模型，创建多个传感器的至少一个传感器组合的样本空间，对区域的交通运动进行建模，基于至少一个传感器模型运行交通模拟， 所述区域的至少一个传感器组合和交通运动的采样空间，其中所述交通模拟生成多个候选传感器组，以及基于所述多个候选传感器集合来选择所述多个传感器的子集。

公开(公告)号：US20120166728A1

公开(公告)日：2012-06-28

申请号：US12976738

申请日：2010-12-22

Applicant: Vikas K. GARG ,  Raj GUPTA ,  Ankur NARANG

Inventor： Vikas K. GARG ,  Raj GUPTA ,  Ankur NARANG

IPC: G06F12/02

CPC classification number: G06F9/5016

Abstract: Systems and methods for performing parallel multi-level data computations in a storage system are provided. One system includes a memory storing data, multiple caches, and a processor. The processor is configured to perform the method below. One method includes determining the total amount of data in the memory, dividing the amount of data by each cache capacity to determine the number of nodes needed for processing the data in the memory, and automatically creating the nodes. Here, the nodes form a tree structure including multiple levels where the lowest level includes a first number of nodes equal to the amount of data divided by the cache memory capacity. Also, each lowest level node is configured to process an amount of data equal to the cache memory capacity and each level above the lowest level is configured to include one or more nodes for receiving an input from lower level nodes.

Abstract translation: 提供了用于在存储系统中执行并行多级数据计算的系统和方法。 一个系统包括存储数据，多个高速缓存和处理器的存储器。 处理器配置为执行以下方法。 一种方法包括确定存储器中的总数据量，将数据量除以每个高速缓存容量以确定处理存储器中的数据所需的节点数量，以及自动创建节点。 这里，节点形成包括多个级别的树结构，其中最低级别包括等于由高速缓冲存储器容量划分的数据量的第一数量的节点。 此外，每个最低级节点被配置为处理等于高速缓存存储器容量的数据量，并且最低级别以上的每个级别被配置为包括用于从较低级节点接收输入的一个或多个节点。

公开(公告)号：US20050100575A1

公开(公告)日：2005-05-12

申请号：US10701565

申请日：2003-11-06

Applicant: Raj Gupta ,  Apurba Bhattacharjee ,  Donna Lee

Inventor： Raj Gupta ,  Apurba Bhattacharjee ,  Donna Lee

IPC: A01N31/02 ,  A01N31/08 ,  A01N35/04 ,  A01N37/10 ,  A01N37/18 ,  A01N37/40 ,  A01N43/08 ,  A01N43/42 ,  A01N43/60 ,  A01N43/653 ,  G06F19/00 ,  A01N25/00 ,  G01N31/00 ,  G01N33/48 ,  G01N33/50

CPC classification number: G06F19/706 ,  A01N31/02 ,  A01N31/08 ,  A01N35/04 ,  A01N37/10 ,  A01N37/18 ,  A01N37/40 ,  A01N43/08 ,  A01N43/42 ,  A01N43/60 ,  A01N43/653 ,  G06F19/705 ,  Y10S424/10 ,  Y10S514/844 ,  Y10S514/919 ,  Y10S514/945 ,  Y10S514/953

Abstract: Disclosed herein is a pharmacophore model for arthropod repellent activity and methods of making and using thereof. The pharmacophore comprises two hydrophobic aliphatic functions, one aromatic function and one hydrogen bond acceptor function. The pharmacophore model was made using a test set of arthropod repellent compounds. Also disclosed are arthropod repellent compounds identified by screening databases with the pharmacophore model. Also disclosed are methods of repelling arthropods from a surface or area. Compositions and formulations comprising the compounds of the present invention as well as objects having the compounds of the present invention are disclosed.

Abstract translation: 本文公开了节肢动物驱避活性的药效团模型及其制备和使用方法。 药效团包括两个疏水性脂族官能团，一个芳香族功能和一个氢键受体功能。 药效团模型使用一组节肢动物驱避剂化合物制成。 还公开了通过用药效团模型筛选数据库鉴定的节肢动物驱避剂化合物。 还公开了从表面或区域排斥节肢动物的方法。 公开了包含本发明化合物的组合物和制剂以及具有本发明化合物的物体。

公开(公告)号：US08706458B2

公开(公告)日：2014-04-22

申请号：US13253114

申请日：2011-10-05

Applicant: Raj Gupta ,  Biplav Srivastava

Inventor： Raj Gupta ,  Biplav Srivastava

IPC: G06G7/48

CPC classification number: G08G1/0108

Abstract: An apparatus and an article of manufacture for selecting a subset of at least one traffic sensor include modeling multiple sensor types to generate at least one sensor model, creating a sample space of at least one sensor combination of multiple sensors, modeling traffic movement of a region, running a traffic simulation based on the at least one sensor model, the sample space of at least one sensor combination and traffic movement of the region, wherein the traffic simulation generates multiple candidate sets of sensors, and selecting a subset of the multiple sensors based on the multiple candidate sets of sensors.

Abstract translation: 用于选择至少一个交通传感器的子集的设备和制品包括建模多个传感器类型以产生至少一个传感器模型，创建多个传感器的至少一个传感器组合的样本空间，建模区域的交通运动 ，基于所述至少一个传感器模型运行交通模拟，所述至少一个传感器组合的样本空间和所述区域的交通运动，其中所述交通模拟生成多个候选传感器集合，以及基于所述多个传感器的子集选择 在多个候选组的传感器上。

公开(公告)号：US20130090905A1

公开(公告)日：2013-04-11

申请号：US13586067

申请日：2012-08-15

Applicant: Raj Gupta ,  Biplav Srivastava

Inventor： Raj Gupta ,  Biplav Srivastava

IPC: G06G7/76

CPC classification number: G08G1/0108

Abstract: A method for selecting a subset of at least one traffic sensor includes modeling multiple sensor types to generate at least one sensor model, creating a sample space of at least one sensor combination of multiple sensors, modeling traffic movement of a region, running a traffic simulation based on the at least one sensor model, the sample space of at least one sensor combination and traffic movement of the region, wherein the traffic simulation generates multiple candidate sets of sensors, and selecting a subset of the multiple sensors based on the multiple candidate sets of sensors.

Abstract translation: 用于选择至少一个交通传感器的子集的方法包括建模多个传感器类型以生成至少一个传感器模型，创建多个传感器的至少一个传感器组合的样本空间，建立区域的交通运动，运行交通模拟 基于所述至少一个传感器模型，所述区域的至少一个传感器组合和所述交通运动的样本空间，其中所述交通模拟生成多个候选传感器集合，以及基于所述多个候选集合来选择所述多个传感器的子集 的传感器。