Abstract— Electrical Impedance Tomography (EIT) is developing and promising imaging modality for early detection of breast cancer. An EIT system uses an array of surface electrode to apply current to an imaging object & measures the resulting voltages on the periphery. The measurement results are then input to a reconstruction algorithm to produce an image of impedance distribution of the object. In this study a LabVIEW based automatic data acquisition system is designed. In this Data Acquisition system input current injection and voltage measurement are carried out using switching. An Electrode Switching Network (ESN) consist of four 16:1 analog multiplexers that are used for swiching. The electrode switching network is controlled by Virtual Instrument (VI) developed in LabVIEW. The NI myDAQ DAQ card is used to interfacePC with other hardware.
Plates to be processed are loaded into one of the interchangeable stacks and then the stack is located in the input position of the Bio-Stack. If the instrument is either a Synergy HT Series or a PowerWave Series reader, specific reader protocols from KC4 are associated with each plate by means of the Bio-Stack PC control software. These protocols, which identify reading
The data acquisition, processing and storage system allows to get real time images and these images may be used during a long period of observation of the patients. The device comprises a digital photo camera attached by an adapter to a stereomicroscope in a lateral region, a PC or a note- book having an USB interface and also the software. A schematic of the medical process is presented in Fig. 1.
Much attention has been focused on the use of Ethernet technology directly at the device level. The decreasing cost and increasing capabilities of network interfaces and microprocessors have accelerated the movement of communications network connections down to the instrument and device level. The Ethernet-Based I/O Device is a measurement or I/O device with an Ethernet connection directly on the device itself (see Figure 2.b). This approach provides a relatively inexpensive option for networked data acquisition, and provides greater versatility in terms of locating the measurement device in size- constrained areas or harsh environments. Compared to some other simpler communications links in use today, Ethernet does typically require a more powerful microprocessor and more memory to execute the communications stack. However, the evolution of Ethernet technology indicates that the implementation cost will continue to decrease. The commercial availability of Ethernet-Based I/O Devices is increasing rapidly as manufacturers convert existing systems over to Ethernet. Typically, the Ethernet-Based I/O Device is a measurement device with a standard Ethernet interface, usually 10Base-T, incorporated into the communications interface. An Ethernet-based measurement device does have a unique set of requirements, relative to a standalone or PC-based measurement system. Reliable, autonomous operation of a distributed measurement device requires a more intelligent device with a local microprocessor that handles communications, system management, and diagnostics. This is in addition to the needed components to collect and process the actual measurements. Many devices also implement embedded data servers, improving the efficiency and ease-of-use of accessing collected measurement data. For example, shows the functional diagram of a typical Ethernet-Based I/O Device .
The streaming interface of the R&S®DVM50, R&S®DVM100 and R&S®DVM400 enables you to replay video content on the instrument itself or on an external PC in the network in realtime by using the supplied video de- coder software. Due to the flexible streaming concept, you can even replay HDTV video content on a network PC if the processing power and network connection are sufficient.
Development of protein biosensors based on graphene could be classified into two main groups (Fig. 1): Firstly, functioned graphene materials including GO, rGO and GQDs  were assembled onto the biosensor surface [electrode, field-effect transistors (FET) channel, etc.] to construct novel biosensor interfaces for improved assem- bling of molecular receptors . In this group, excellent biosensor performance was achieved mainly based on the increased specific surface area and the unique π–π orbital interaction on the interface. Secondly, many recent stud- ies applied graphene materials as excellent carriers for the construction of novel nanocomposites , and in this group, interesting biosensor signal amplification and unique catalytic/chemical activity was realized for sensi- tive protein biomarker analysis .
Interactive visualisation and simulation systems require large amounts of proces- sing power and memory. When implemented on a parallel architecture, the memory needs to be frequently accessed by the concurrently operating PEs. In order to achieve interactive frame-rates at high levels of detail, large quantities of information need to be efficiently communicated between the PEs as quickly as possible. A good way to achieve this is to use multiple PEs running in parallel on a single device, which allows for the fastest communications path between the PEs. For rasterisation algo- rithms, this is commonly achieved by running the PEs in a GPU with a highly-parallel architecture and for ray-tracing algorithms, this usually means running the PEs in a multi-threaded or multi-core Central Processing Unit (CPU). Both of these approaches require high-bandwidth, low-latency links between the PEs in order to keep them busy and meet the real-time constraints imposed by interactive graphics applications. The major problem with this solution though is the inherent lack of scalability, resulting from the fact that only a limited number of PEs can fit into a single device due to physical space constraints. This problem can be overcome by utilising a parallel dis- tributed system, in which multiple PEs run in multiple devices that are connected together using a high-performance interface. This interface should be capable of attai- ning the high-bandwidths and low-latencies required to sustain the large quantities of information that must be communicated between the distributed PEs in order to meet the demands of the application being run across the parallel system.
Ethical and bioethical education are basic necessities in training healthcare professionals. Few educational strategies focus on developing knowledge, skills and attitudes necessary to recognize ethical problems and make decisions . Thus, the instrument validated herein is a tool not only for elucidating ethical problems that are perceived (or not) by healthcare professionals but also assessing their knowledge by applying the instrument before and after the teaching-learning process.
The SUTO S330 / S331 is a powerful yet cost effective local display, sensor interface and data logging (S331 only) solution for virtually any application. Up to 16 sensors can be connected to a single device allowing local nodes to be setup throughout the factory. With it’s easy to use, high resolution 5” touch screen, information from all the connected sensors can be accessed locally making readings easy to access for those on the ground.
Here I have used TD-W8951 ND modem for transmitting and receiving purposes. The TD-W8951ND connects to an Ethernet LAN or computers via standard Ethernet ports. The ADSL connection is made using ordinary telephone line with standard connectors. Multiple workstations can be networked and connected to the Internet using a single Wide Area Network (WAN) interface and single global IP address. The advanced security enhancements, IP/MAC Filter, Application Filter and URL Filter can help to protect network from potentially devastating intrusions by malicious agents from the outside of the network.
The multimodal human-computer interface (HCI) called Lip Mouse is presented, allowing a user to work on a computer using movements and gestures made with his/her mouth only. Algorithms for lip movement tracking and lip gesture recognition are presented in details. User face images are captured with a standard webcam. Face detection is based on a cascade of boosted classifiers using Haar-like features. A mouth region is located in the lower part of the face region. Its position is used to track lip movements that allows a user to control a screen cursor. Three lip gestures are recognized: mouth opening, sticking out the tongue and forming puckered lips. Lip gesture recognition is performed by various image features of the lip region. An accurate lip shape is obtained by the means of lip image segmentation using lip contour analysis.
ABSTRACT: The proliferation of technology paves way to new kind of devices that can communicate with other devices to produce output mostly on wireless communication. Wirelessly communicating embedded devices are brought to one another in a single link over Internet called IoT (Internet of Things). If all objects and people in daily life were equipped with identifiers, computers could manage and inventory them. Besides using RFID, the tagging of things may be achieved through such technologies as near field communication, barcodes, QR codes and digital watermarking. Here new method of using embedded technology to provide such application, Arduino is used as an embedded controller to interface Ethernet shield with a PC/Laptop to provide IoT over Ethernet. A user can use this parking service in the airport scenario provided by airport authority with user ID and password. Whenever a user need to check the vehicle in the parking lot, uses the ID and password to logon into the airport web link and view the status of the car in the parking lot using IoT. IoT Based Airport Parking System is discussed here to implement Arduino environment as IoT application.
sulcus; OHC, outer hair cells; PC, pillar cells; TC, tunnel of Corti; TM, tectorial membrane. Acquisition time 2 min per tile. (e) High spatial resolution mass image of stereocilia. BS, base of stereocilium; CP, cuticular plate; ES, an elongated structure that is not visible by optical or electron microscopy; PN, pericuticular necklace; S, stereocilium. Scale bar = 1 m. Conditions of MIMS analysis: beam current 0.4 pA; beam diameter 100 nm; field 6 x 6 m; 256 x 256 pixels; 18 msec/pixel. For further details see Additional data file 7. (f) Reference photomicrograph of a muscular artery from the rat stained with aldehyde-fuchsin. Original magnification 52x . (g-i) Contrast formation in an image of a mouse kidney artery. 12 C 14 N -
machine + tasks, and that the real world in which a problem is solved should be considered. For example, if one is given a problem to find a safer place to live in with online maps, one should interpret “safer place” as an operational intention such as “searching for places of criminal occurrence” or “searching for areas suffering from natural disasters.” One should also select and execute operations according to one’s intention, which follows a proper perception and interpretation of display. The task is completed only after a relevant interpretation of the real world from a direct interpretation of display. Figure 1 indicates the framework of usability problems from the viewpoint of users + online maps + real world tasks. The usability problems might be categorized into: problems at the interface between users and online maps/ PC (operation and perception load), problems in dialog between online maps and users (selection of operation and interpretation of display), and problem in link between users + online map system and the real-world (formation of operational intention and practical interpretation), the last of which is original in the current study.
The role of computer has grown very fast in society. The interaction with the computing devices has been advanced in such a way that it becomes the necessity of today’s life. So facilitating human computer interaction (HCI) will have a positive impact on their use and home automation. The aim of HCI today is to bring HCI to a framework where interaction with computers will be as natural as interaction between humans. Though the invention of keyboard and mouse is a great progress, but there are still situations where these devices are incompatible for HCI, particularly for the interaction with 3D objects. The 2 degrees of freedom (DOFs) of the mouse cannot properly emulate the 3 dimensions (3D) of space. Using gesture as a device can help people communicate with computers in a more effective way. Gesture operation can be considered as an easy-to understand and easy-to-use method to operate the PC in an easy-to-understand and easy-to-use without using traditional mouse or keyboard. Therefore, these hand gestures are easy to understand for everyone and easy to use for anyone. Moreover, they are also intuitive gestures that are able to operate naturally. By associating these hand gestures with a shortcut operation on the PC, it is possible to perform similar operations even among multiple applications using hand gestures .The gesture can be defined as a physical movement of human hands, to convey information or meaning.
There have been many mixed opinions about the sonification of gesture data. Some teachers think that it distracts too much from the sound of the instrument, whilst others think that it can be a useful tool for certain situations. There were also different opinions on the types of sonification used, with some preferring the simple bell sound indication and others preferring the approaches based on processing the sound of the instrument. It is clear from our discussions with teachers and students that the system needs to be as easy to use as possible if it is to be effective. It must also be robust and reliable. There is a huge variety of methods used by teachers and so it is important that the system can be customised to a particular situation or user’s preference. Taking the above into account, we have designed the interface of the AMIR software (see Figure 9) to be simple and easy to use. It comes with a number of preset configurations for different analysis and different instruments but settings may be adjusted if the user wishes.