Earticle

With the development of the computer network technology and the electronic commerce, more and more firms establish the electronic sale channel and get great profits. The huge supply chain network is established through the new idea and technology. The node location selection is a planning process that chooses a location to set up a logistics node in an economy zone with multi demands. Hence, its location selection is a key link in the logistics system planning. In this paper, we consider the specific particularity of the e-commerce. Then, we constraints cost and delivery time of the logistics model. At last, we apply the heuristic algorithm to the location model. The results show that the algorithm can apply to the logistics distribution problem under the electronic commerce environment excellently.

An extremely crucial step in the diagnosis of cancers is to select a small number of informative genes for accurate classification. This issue has become a hot focus in the data mining of gene expression profiles. Especially for data with a large number of cancer types, many conventional classification methods show very poor performance. Here, we proposed a new approach for gene selection and multi-cancer classification based on step-by-step improvement of classification performance (SSiCP). The SSiCP gene selection algorithms were evaluated over the NCI60 and GCM benchmark datasets, with accuracy of 96.6% and 95.5% in 10-fold cross-validation, respectively. Furthermore, the SSiCP outperformed recently published algorithms when applied to another two multi-cancer data sets. Computational evidence indicated that SSiCP can avoid overfitting effectively. Compared with various gene selection algorithms, the implementation of SSiCP is simple and many of the selected genes by SSiCP are shown to be closely related to cancers.

Always on Internet service has become norm and people are able to enjoy anytime, anywhere broadband wireless communication services. With the emergence of smart phone and tablet, wireless network traffic has increased exponentially. Wireless network traffic is expected to continuously increase dramatically as more and more communication capable multimedia devices are expected to be connected to wireless network. In order to offload heavy traffic of cellular network, WiFi has chosen since WiFi normally operates in license exempt bands. 3rd Generation Partnership Program (3GPP) has started study item on 3GPP-WiFi interworking in order to alleviate heavy traffic problem. Since WiFi is independent and different wireless technology, 3GPP needs to be specially designed to provide seamless and high quality interworking with WiFi. Long Term Evolution (LTE)-WiFi interworking has a technical challenge of WiFi network detection. A good solution should provide not only fast WiFi network detection but also battery power saving of mobile phones. In this paper, we propose LTE and WiFi interworking scheme for railroad wireless communication. Our solution is able to provide both expedited WiFi connection establishment and battery power saving by exploiting unique characteristics of railroad communication.

Cohesion is an Object-Oriented (OO) software design property that helps for the measuring of degree of interdependency or connectivity within subsystems of a system. Numerous class cohesion metrics can be found in the literature. Which metric is best suited for a given situation is always a critical question. Few metrics are validated empirically against open source software projects. The purpose of this paper is to validate empirically of the proposed new class cohesion metric (CC) using some open source software projects and find the effected quality factors. Results of this paper conclude that CC continuously gives better correlation with Number Line of Code (NLOC) compare to other existing cohesion metrics. The average value of CC (CohS) of a system also predicts the natures (understandability, modifiability, and maintainability) of a system.

The terms “ubiquity” can be achieved by the mobility of wireless sensor networks that denotes networks of intelligent sensor nodes that monitors physical and environmental conditions and can be deployed anywhere and anytime. The emergence of mobility that allows sensor nodes in WSNs to move spontaneously and actively is considered for a more sophisticated control and monitoring capabilities of applications based on a WSN. In this paper, a structure of a Mobile Wireless Sensor Network system has been presented. An introduction for the design of a mobile controller that can act as the moving device and interface for a sensor node or a group of nodes to the base station. The proposed scheme provides a communication link for the sensor nodes and the Base Station. The design makes use of the radio frequency (RF) signaling incorporated with short messaging system of GSM (Global System for Mobile Communication) to activate the communication between the Central Server and the sensor nodes.

We study the video steganography method in which the image is hidden in a video file. The method is based on the discrete wavelet transform. The video frames are transformed and then the proper positions of the coefficients are selected to hide the secret image pixels. The heuristic considers the coefficients that have the similar values to that of secret images. The similar values mean the same or the values that are closed to the cover media pixels. We compare this approach to the random coefficient selection approach as well as the methods using the discrete wavelet transform. Different payloads are also considered to study the effect of secrete image size to the cover video. The results shows that the lifting multiple wavelet transform with similar coefficients yields the best results for all the test case.

Hand gesture is a form of non-verbal communication or non-vocal communication in which visible bodily actions communicate particular messages, either in place of, or in conjunction with, speech. Also, gesture is good interaction way when using computer for kids or disabled. Especially, gesture is good educational way for kids. We can see many kinds of serious game using gesture. In this paper, we developed serious game for kids using ‘Leap Motion’ based on honey bee dance. There are many gesture recognition ways as Kinect1, Leap Motion2 or Wii Remote3. These devices are easy interaction device also game controller. Our research is focused on hand gesture, so we used Leap Motion. Development of Leap Motion is affordable and convenient structure. After investigation of honey bee dance, we applied it into serious game. The dances are performed by worker bees that have returned to the honeycomb. It essentially is a language that tells the other workers where the food is. In our developed game, kids can learn these honey bee dance using their hands via Leap Motion. Leap Motion is a computer hardware sensor device that supports hand and finger motions as input, analogous to a mouse, but requiring no hand contact or touching. The movement of the hand is good for kid's brain development. It has already been proven through many materials. Kids can learn the language of bees through developed game and it is a natural form of play. Our system can propose the new development direction of serious game, also potential of Leap Motion as serious game device.

Contact angle of several plant leaves such as lotus, canna, reed and bluegrass were 152.6°, 150.3°, 151.4°and 150.6° respectively, their microstructure were observed by scanning electron microscopy, It found that they are composite structure of micro and nanometer. According to this principle, experiment prepared template of polystyrene microspheres with diameter of 722nm, the copper atoms filled the voids of the template by electrochemical deposition, removed template, obtained copper surface with regular arrangement of spherical cave structure, then modified copper surface with fluorosilane, its contact angle surface is 156.3 °. Analyzed the factors associated with superhydrophobicity, the key parameters are diameter of the polystyrene microspheres and electrodeposition time.