SmartWork as a new job organization paradigm for companies and employees has greatly increased in both popularity and use in recent years. SmartWork is a new way of working and living way that is not fixed in terms of time or location. It involves working from home or nearly anywhere, enabled by an increased reliance upon mobile based telecommunication technologies to conduct work activities. Despite the increased use of SmartWork in some organizations and the continued efforts by government, the reality is that barriers to the implementation of SmartWork have remained relatively consistent over time. Based on a literature review of research in SmartWork, this paper identifies these potential challenges faced by companies to developing and implementing a successful SmartWork program.

In object segmentation field, while the non-predefined object segmentation distinguishes arbitrary self-assumed object from background, predefined object segmentation pre-specifies object evidently. This paper presents a new method to segment predefined objects by globally optimizing an orientation-based objective function that measures the fitness of object boundary in a discretized parameter space. A specific object is explicitly described by normalized discrete sets of boundary points and corresponding normal vectors with respect to its plane shapes in a certain aspect. The orientation factor provides robust distinctness for target objects. By considering the order relation of transformation elements, and their dependency on derived oversegmentation outcome, the domain of translations and scales is discretized efficiently. The appropriate transformation parameters of a shape model corresponding to a target object in an image are determined using the global optimization algorithm branch-bound. Discrete boundary points of the consequent transformed model are chained together to produce the final contour of the target object. The results tested on PASCAL dataset show a considerable achievement in solving complex background and unclear boundary images.

Abstract

Recently, different services are being introduced for the silver generation, but most are limited to providing information for older people and are insufficient in terms of functionality, ease of use, and diversity.In this paper seeks to study the design strategies of smart app interface for the smart silver generation born in the 70's. The proposed method intends to provide an optimized user interface by setting the icon size and spacing, font size color sound, and the psychological state in a five-step process.An optimized interface status value extracted from each step is applied directly to the interface of smart app. By using the results of this study, we can expect increased accessibility and usability for silver generation to use smart contents.

Internet of things (IoT), Cloud, Big Data and 3D printer