19, This work was supported by Academia Sinica ASTP-A06, ITRI/NCTU JRC Research Project, the ICL/ITRI Project, Microsoft Q, D-link C, . Bulletin Boards . David Birkenbach Customer messages on SV-SMG-SUP with Ramp Up Flag and Prefix RU SAP SE or an SAP affiliate company. Dead Peer Detection—The ASA and AnyConnect client send “R-U-There” messages. .. Release Configure VPN Access Use Trusted Network Detection to If you have a proxy at , move /8 to the host exception list; for details see the Android User Guide for Cisco AnyConnect Secure Mobility.

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In our approach, an IoT device is characterized by its features e. If a network application handles the individual device features independently, then we can write a software module for each device feature, and the network application can be simply constructed by including these brick-like device feature modules. Based on the concept of device feature, brick-like software modules can provide simple and efficient mechanism to develop IoT device applications and interactions.

Vandrico Solutions showed that there are items of wearable devices, and the average price is USD [Vandrico]. In the recent years, many Internet of Things IoT devices including the wearable devices have been used in applications for money flow, logistics flow, people flow, interactive art design and so on.

IoT devices, device features, and the network applications architecture for IoT applications [Lin]. An IoT device can be characterized by its functionalities or features. For the purpose of description, this paper defines a feature as a specific input or output capability of the IoT device. A pair of wearable glasses with the optical head-mounted display has the output device feature ODF called display abbreviated as D-IDF.

An IoT device may be connected to the network i.

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When the values of the IDFs are updated, the IoT device will inform the network application to take some actions, and the network application may send the result to the ODF of an IoT device. The tail of this device wags based on the vibration strength received from its V-ODF.

We will elaborate more on this device in Section IV. Lines 1 – 10 in Fig. Such interactions are implemented in network applications. If a network application handles the individual device features independently, then we can write a software module for each device feature, and the network application can be simply constructed by including these brick-like DF modules. For example, the building blocks for Line 3 in Fig.

This IDF module computes, e. This ODF module translates the received value to vibration intensity. If the IDF and the ODF modules are independent of each other, then these software modules can be reused to build the network applications, and effectively speed up the development of the IoT applications.

Therefore, NAs can reuse same software modules to implement the tasks for these similar DFs. In this paper, we show that based on the concept of device feature, brick-like software modules can provide efficient and simple mechanism to develop IoT device applications and communications. Specifically, we develop an IoT EasyConnect system to achieve this goal. The paper is organized as follows. Section II describes the EasyConnect architecture.


Section IV studies interactive design and art applications that can be easily implemented through EasyConnect. Section V concludes our work with future research directions. The EasyConnect architecture previous studies. These platforms have shown excellent performance as they claimed. Philips hue is a personal wireless lighting system which can only be controlled by a smart device e. A smartphone is used as the remote controller to manipulate the colors and luminance of the light bulbs.

As an example, consider a motion induction light device an output IoT device with a built-in control program. When this program receives a motion event from a motion sensor, it turns on the light. To test this output IoT device, IoT. Then it examines the program execution flow, and checks whether the control program will turn on the light or not.

In this way, IoT.

Like Philips hue, IoT. Also, the functions of these platforms are not as modularized and re-useable as EasyConnect. EasyConnect is particular powerful for interactive design applications. To our knowledge, no general IoT platform has androiduserdguide designed for interactive design applications.

The Communication submodule Fig.

The 23 submodule Fig. The device application DA; Fig. In the andoidusersguide phone, the DA consists of two software components.

The device application to the gateway DAG; Fig. EasyConnect manages IoT devices with scalability and flexibility, where every IoT device is identified by its device name and device model. For example, the smart phone in Fig. By considering a device model as a set of device features, EasyConnect effectively manages these device features.

Since different Androidusersguidw devices of a device model may involve in a connection androiduwersguide, device names are needed to distinguish these same-model devices.

For the IoT devices considered in Fig. Every entry in the DF table has two fields. The DF-type field indicates that the device feature is input or output. The PARM field indicates the number of parameters. G-IDF is an input device feature that measures three-axis acceleration and produces three acceleration values.

In this way, any new IoT device model with device features already existed in the DF Table can easily join and share software modules in EasyConnect.

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Every entry in the table has two fields. For example, the smart phone has 7 entries in Table 2: An entry in this table has the following fields: The first level security addresses device authentication between the device and OpenMTC. A Certificate Authority CA is utilized initially to distribute public and private keys, which allows OpenMTC and the device to mutually authenticate each other and agree on a symmetric key. Then this key is used for secure communication between the device and OpenMTC.

EasyConnect security is built based on Django [Django] which is a high-level Python web framework. Django provides an authentication mechanism to associate androiduseesguide incoming request with the user identification and session identification. It is guaranteed that the EasyConnect manipulations are performed by the authenticated users. Encryption for EasyConnect follows existing protocols for, e. For androiudsersguide interactive design applications, EasyConnect is more likely to be operated in a semi-open or a close environment, and therefore, the above security management is appropriate.


EasyConnect provides a web-based project page Fig. The connection configuration of the device models is then saved as a project Project 1 in our androiduseraguide. When configuring the connection, actual devices need not exist.

When the user executes the project activates the connectionall IoT devices of the ur device models must register to OpenMTC. A, we describe how to select the IoT device models. B shows how to connect these IoT devices for execution. Device Selection The project page has a pull-down menu Model that allows selection of device models.

When this menu is pulled down Fig. When the androiduswrsguide selects the item Fig. Similarly, the Andriidusersguide queries the Database to obtain the output device features.

The icon in the left-hand side of the project page illustrates the input device features Fig. The icon in the right-hand side illustrates the output device features Fig. Since the ring does not have any output device features, no icon for the ring is shown in the right-hand side of the project window.

The icon androiduesrsguide the bulb androiduserzguide category O is shown below the icon in the right-hand side of the window Fig. The scalar function returns the scalar value of the DF-parameter vector. The i-th identity function returns the the i-th DF-parameter value. EasyConnect also provides functions for every DF-parameter x i: The normalization function Norm x i normalizes x i in the range [0,1]. EasyConnect provides default values for a and b which can be.

This function is typically used in the IDF module. The scaling function scales linearly or quadratically the input to a value in the range [c, d]. This function is typically used in the ODF module. A DF-parameter function can be any of the aforementioned DF functions where k DF-parameters are replaced by the most recent k samples of a DF-parameter x i.

A DF-parameter function is temporal because it handles the histogram samples of a DF-parameter. On the other hand, a DF function is spatial because it handles the values for various DF-parameters of a device feature at the same time. Consider the project window in Fig. This line is automatically assigned a default name Join 1. Join K represents the K-th connection created in the project; this name can be modified by the user later.

This table describes the connection relationship among the device features in the project. In this window, the pull-down menu Type Fig. Let x 1 j be the j-th x 1 sample of M-IDF. In our example, the user clicks S Fig. In the IDF module area of the workspace window, two radio buttons are used to enable normalization Fig.