Abstract: An image reading system includes an information processing apparatus, an image reading apparatus, and a wireless network. The information processing apparatus includes a wireless state detector for detecting a first wireless state between the information processing apparatus and an access point in the wireless network, a wireless state information receiver for receiving, from the image reading apparatus, information of a second wireless state between the image reading apparatus and the access point in the wireless network, a packet length determining module for determining a packet length such that the packet length in forwarding image data obtained by the image reading apparatus to the information processing apparatus via the wireless network is reduced according to degradation in either the first wireless state or the second wireless state, and a packet length information transmitter for transmitting, to the image reading apparatus, packet length information corresponding to determined packet length.

Abstract: An image reading system includes an information processing apparatus, an image reading apparatus, and a wireless network. The information processing apparatus includes a wireless state detector for detecting a first wireless state between the information processing apparatus and an access point in the wireless network, a wireless state information receiver for receiving, from the image reading apparatus, information of a second wireless state between the image reading apparatus and the access point in the wireless network, a packet length determining module for determining a packet length such that the packet length in forwarding image data obtained by the image reading apparatus to the information processing apparatus via the wireless network is reduced according to degradation in either the first wireless state or the second wireless state, and a packet length information transmitter for transmitting, to the image reading apparatus, packet length information corresponding to determined packet length.

Abstract: A suction apparatus 1 holds a wafer W by performing vacuum-suctioning on the wafer W. The suction apparatus 1 comprises a suction substrate 2. The suction substrate 2, which is rigid, comprises a plurality of pin-like protrusions 2a formed so that the tip-end faces (upper surfaces) thereof are the same height. An elastic coating layer is coated by way of an undercoat layer 4 on the tip-end faces of the protrusions 2a. When the wafer W is suctioned, even if a foreign matter is interposed between the wafer W and the suction surface, because the foreign matter embeds itself into the coating layer 3, the planarization of the wafer W is improved. In addition, because the coating layer 3 can be made comparatively thinner, undulations in the wafer W can be reduced and, to that end, the planarization of the wafer W in the suctioned state can be improved.

Abstract: A suction apparatus 1 holds a wafer W by performing vacuum-suctioning on the wafer W. The suction apparatus 1 comprises a suction substrate 2. The suction substrate 2, which is rigid, comprises a plurality of pin-like protrusions 2a formed so that the tip-end faces (upper surfaces) thereof are the same height. An elastic coating layer is coated by way of an undercoat layer 4 on the tip-end faces of the protrusions 2a. When the wafer W is suctioned, even if a foreign matter is interposed between the wafer W and the suction surface, because the foreign matter embeds itself into the coating layer 3, the planarization of the wafer W is improved. In addition, because the coating layer 3 can be made comparatively thinner, undulations in the wafer W can be reduced and, to that end, the planarization of the wafer W in the suctioned state can be improved.

Abstract: A suction apparatus 1 holds a wafer W by performing vacuum-suctioning on the wafer W. The suction apparatus 1 comprises a suction substrate 2. The suction substrate 2, which is rigid, comprises a plurality of pin-like protrusions 2a formed so that the tip-end faces (upper surfaces) thereof are the same height. An elastic coating layer is coated by way of an undercoat layer 4 on the tip-end faces of the protrusions 2a. When the wafer W is suctioned, even if a foreign matter is interposed between the wafer W and the suction surface, because the foreign matter embeds itself into the coating layer 3, the planarization of the wafer W is improved. In addition, because the coating layer 3 can be made comparatively thinner, undulations in the wafer W can be reduced and, to that end, the planarization of the wafer W in the suctioned state can be improved.

Abstract: A printing system in one implementation of an electronic device network system of the present invention includes a plurality of hosts, a plurality of storages, and a plurality of printers, wherein the hosts, storages, and printers are connected to one another on the Internet. The hosts, storages, and printers each have one of two data protecting functions, and each have three security levels. As a result, there is provided an electronic device network system that enables a user to transmit data through a transmission route according to a user's desired security level, while taking into account protection (security) of transmitted data between electronic devices on the network. In addition, there is also provided a data receiver search method using such an electronic device network system.

Abstract: A suction apparatus 1 holds a wafer W by performing vacuum-suctioning on the wafer W. The suction apparatus 1 comprises a suction substrate 2. The suction substrate 2, which is rigid, comprises a plurality of pin-like protrusions 2a formed so that the tip-end faces (upper surfaces) thereof are the same height. An elastic coating layer is coated by way of an undercoat layer 4 on the tip-end faces of the protrusions 2a. When the wafer W is suctioned, even if a foreign matter is interposed between the wafer W and the suction surface, because the foreign matter embeds itself into the coating layer 3, the planarization of the wafer W is improved. In addition, because the coating layer 3 can be made comparatively thinner, undulations in the wafer W can be reduced and, to that end, the planarization of the wafer W in the suctioned state can be improved.

Abstract: A printing system in one implementation of an electronic device network system of the present invention includes a plurality of hosts, a plurality of storages, and a plurality of printers, wherein the hosts, storages, and printers are connected to one another on the Internet. The hosts, storages, and printers each have one of two data protecting functions, and each have three security levels. As a result, there is provided an electronic device network system that enables a user to transmit data through a transmission route according to a user's desired security level, while taking into account protection (security) of transmitted data between electronic devices on the network. In addition, there is also provided a data receiver search method using such an electronic device network system.

Abstract: A method and system for computer-aided differential diagnosis of diseases, and in particular, computer-aided differential diagnosis using neural networks. A first embodiment of the neural network distinguishes between a plurality of interstitial lung diseases on the basis of inputted clinical parameters and radiographic information. A second embodiment distinguishes between malignant and benign mammographic cases based upon similar inputted clinical and radiographic information. The neural networks were first trained using a hypothetical data base made up of hypothetical cases for each of the interstitial lung diseases and for malignant and benign cases. The performance of the neural network was evaluated using receiver operating characteristics (ROC) analysis. The decision performance of the neural network was compared to experienced radiologists and achieved a high performance comparable to that of the experienced radiologists.

Abstract: A method and system for computer-aided differential diagnosis of diseases, and in particular, computer-aided differential diagnosis using neural networks. A first embodiment of the neural network distinguishes between a plurality of interstitial lung diseases on the basis of inputted clinical parameters and radiographic information. A second embodiment distinguishes between malignant and benign mammographic cases based upon similar inputted clinical and radiographic information. The neural networks were first trained using a hypothetical data base made up of hypothetical cases for each of the interstitial lung diseases and for malignant and benign cases. The performance of the neural network was evaluated using receiver operating characteristics (ROC) analysis. The decision performance of the neural network was compared to experienced radiologists and achieved a high performance comparable to that of the experienced radiologists.