A novel approach of making better recommendations by revealing hidden desires and information curation for users of internet of things

One of the most significant disadvantages of the Internet of Things (IoT) is the overload of information. More information makes it harder to find valuable information. Recommendation systems identify the most suitable items for a given user. The recommended result is only valid if the system users know what they want, and clearly and explicitly convey their needs to the system. Because the role of a recommendation system is to calculate the similarity between the given request and each item, and to rank the similarity, the requests and identity of items should be clear to obtain correct results. However, in most situations in which recommendations are made, requests are implicit and ambiguous. A good recommendation system should make a reliable list of items, even with ambiguous requests. This paper proposes a model of generating recommendations for implicit requests. The model employs two methods that reveals the desire of the requestor and uses content curation with a customized layout to display the recommendations. The first method for revealing the requestor’s desire is to specify the implicit request by combining the user’s customized preference with the collective intelligence. The second method for employing content curation is to arrange the recommendation for users to accept spontaneously. To persuade users, the recommendations are transformed into a layout based on a personalized cognitive bias. Through these processes, reliable and beneficial recommendations can be provided to any user even if their requests are implicit or unclear.

     

Electrical and mechanical characterization of an anisotropic conductive adhesive with a low melting point solder

For the highly reliable interconnection in a micro-packaging technology requiring an excellent electrical and mechanical performance, the new anisotropic conductive adhesive (ACA) system with a low melting point solder was designed and characterized. An optimum flip-chip bonding cycle considering the chemo-rheological properties of a polymer matrix and solder was proposed. The bonding mechanism of the new ACA system was experimentally observed by the optical microscope. The electrical properties such as electrical resistance of about 5.6 mΩ and current density of 10,000 A/cm² were measured by the 4-point probe test. The measured shear strength was 304 MPa after bonding process.Electrical and mechanical performances were measured and compared before and after a pressure cooker test (PCT). In order to get a more stable ACA system during processing, the polymer matrix mixed with a reductant and a low melting point solder powder will be continuously developed in the near future.     

An indoor localization solution using Bluetooth RSSI and multiple sensors on a smartphone

Multimedia Tools and Applications - In this paper, we propose an indoor positioning system using a Bluetooth receiver, an accelerometer, a magnetic field sensor, and a barometer on a smartphone....     

Analyzing electrocardiogram signals obtained from a nymi band to detect atrial fibrillation

Multimedia Tools and Applications - In this paper, we propose a method for detecting atrial fibrillation (AF) from electrocardiogram (ECG) signals obtained from a wearable device. The proposed...     

Social relation-based dynamic team organization by context-aware matchmaking

Team is a group of people who share the common object. However, in the dynamically changing situation, the existing members may be excluded, and new members may be included. This change is one of the most critical problems, which cause the failure of the team. In this paper, we propose a way of maintaining team in spite of the member’s modification. In order to achieve this object, we employ an abstract layer between team and member. This layer provides roles to the team by hiding the members. Therefore, a team can be free from the actual members, and members can be free from binding to a specific team. The roles binding, which connects member to the team, is provided in the proposed model according to the situation by matchmaking the best suitable member for a given role. By this, even the team’s members are changed, the role, which is required in the team, can be bound to other suitable member. In the matchmaking process, it is not sufficient to find a member, who has ability to perform the required role, because a team needs a fellowship among the members. For this, a social relation is used as criteria for calculating the suitability of role binding.