International Business Machines Corporation

Amcad Biomed Corporation

Ming Hsun Wu

Cheng-Ta Lee

Wei-Shiau Suen

Wei-Hsiang Hsiung

Argon Chen

King Jen Chang

Chiung Nein Chen

Ming Chih Ho

Wen Hwa Chen

Hao Chih Tai

Kuo-Chun Chen

Po Wei Tsai

Hsin-Jung Wu

Chih-Wen Chao

Lun Pin Yuan

Chung Wei Liu

Chung Wei Lui

Aargon Chen

Embodiments provide a system and method for stateless session synchronization between inspectors for high availability deployments. Man in the Middle inspectors of a communication session between a client and server exchange a shared key that is used as a common seed value in a mapping function algorithm. Each inspector generates identical key-pairs using the common mapping function algorithm, and the inspectors generate the session keys from the key-pairs. Inspectors use the session keys to decrypt and either actively or passively inspect data transferred in a session between a client and server.

Stateless session synchronization between secure communication interceptors

Embodiments are directed to a method of monitoring a suspicious file, including: receiving, from a web server, a first file; encrypting, by an intermediary network device, the first file; transferring the encrypted file, from the intermediary network device, to an end device; transferring the first file, from the intermediary network device, to a malware analysis device for a malware analysis; and receiving a malware analysis result, from the malware analysis device. If the malware analysis result indicates the first file is not a malware, requesting a key; decrypting the encrypted file using the key; and accessing the decrypted file.

Security mechanism for suspicious files

Embodiment pertain to facilitation of live migration of a virtual machine in a network system. The network system includes a first host, a second host, a first appliance for providing service to the first host, a second appliance for providing service to the second host, and a third appliance. At least one virtual machine is disposed on the first host and has an ongoing first network flow. The first appliance has generated state information about the first network flow. During the migration of the at least one virtual machine to the second host, the third appliance obtains a copy of the state information about the first network flow; and the third appliance takes over from the first appliance to serve the first network flow during the migration of the at least one virtual machine, until the first network flow is terminated.

Facilitation of live virtual machine migration

A quantification method and an imaging method are disclosed, capable of quantifying the margin feature, the cysts feature, the calcifications feature, the echoic feature and the heterogenesis feature of a tumor, and capable of imaging the margin feature, the cysts feature, the calcifications feature and the heterogenesis feature of a tumor. The quantification method and the imaging method calculate the moving variance of the gray scale of each of the pixel points based on the gradient value of the gray scale of these pixel points. Then, depending on the purpose of the quantification method or the imaging method, the maximum value, the minimum value, the mean value, and the standard deviation of the moving variance of the gray scale of these pixel points are calculated, respectively. At final, with the definition of the threshold value and the imaging rule, the above features of the tumor are quantified or imaged.

Quantification method of the feature of a tumor and an imaging method of the same

The present invention relates to a method for multi-layer classifier applying on a computer readable medium for classifying multiple image samples. The method at least comprising the following steps: (a) receiving a plurality of samples; (b) providing a plurality of attributes, and evaluating a significance of the attributes by a selection criterion; (c) selecting at least one cut-point to establish a discriminant analysis model; (d) proceeding a step of evaluating a performance of the discriminant analysis model by adding the attributes to the discriminant analysis model; and (e) providing a stop criterion. The present invention also provides a computer readable medium for classifying multiple image samples by using the method for multi-layer classifier.

Method for multi-layer classifier

The present invention related to a method for retrieving a tumor contour of an image processing system that includes a memory storing a grayscale image and a processor, comprising: receiving an input tumor contour of the grayscale image; defining a tumor contour annular region and a plurality of reference segments of the grayscale image, wherein the input tumor contour is in the tumor contour annular region, and each of the plurality of reference segments is across the tumor contour annular region and includes a plurality of measured points; retrieving a tumor contour suggestion point on each of the plurality of reference segments; and linking all the tumor contour suggestion points on all of the reference segments, for forming the tumor contour. Accordingly, by applying the method of the present invention, a doctor can rapidly and accurately identify the contour of a tumor in a grayscale image.

Method for retrieving a tumor contour of an image processing system

Growing community of inventors

Taipei, Taiwan

Ming Hsun Wu