Smart Item Research Articles

Preference and usability of Smart-Home services and items - A Focus on the Smart-Home living-lab –

ABSTRACT With the development of the information technology industry, including artificial intelligence (AI) platforms, a Hyperconnected-society has arrived. Smart-Home technologies and services are continuing to overcome early challenges and expanding our expectations for their capabilities to the expectation that they will change our daily lives. The purpose of this study is to examine the theoretical background and trends of Smart-Home development in residential spaces as a recent trend and to derive suggestions for resident-centred Smart-Home planning and development through a questionnaire survey. For this, we collected information on the smart technology (service) and item preferences of visitors to the Smart-Home Living-lab and prepared an evaluation of our findings. From this, a broader understanding of Smart-Home was derived by viewing our data through the lens of usability Our survey, which interrogated all age groups indicated a high preference for items associated with health care, and emergency and safety response items. Second. In particular, there was a high interest in daily health and body change management , yet, contrary to expectations, the preference for health-related services and items was in the more senior group. It is also notable that reference scores were high for items corresponding to automatic sensing, that is, services and items that respond to daily behavior. This research is meaningful as a basic study in specific smart space planning in that uses a practical experience and evaluation of Smart Home where new smart services and items have been implemented, but which have not yet become common. It is also expected to contribute to improving effectiveness and satisfaction by analysing the experience and usability of items and services associated with smart home technology.

A case-study in the introduction of a digital twin in a large-scale smart manufacturing facility

In the field of industrial engineering the knowledge produced by newly obtained data is driving business forward. Automating the process of capturing data from industrial machines, analyzing it and using the knowledge gained to make better decisions for the machines is the crux of the digital twin. Sensor technology, Internet of Things platforms, information and communication technology and smart analytics allow the digital twin to transform a physical asset into a connected smart item that is now part of a cyber physical system and that is far more valuable than when it existed in isolation. The digital twin can be adopted by the maintenance engineering industry to aid in the prediction of issues before they occur thus creating value for the business. In this paper the authors look to introduce a maintenance digital twin to a large-scale manufacturing facility. Issues that hamper such work are discovered and categorized to highlight the difficulty of the practical installation of this concept. To aid in the installation process a digital twin framework is presented that simplifies the digital twin development process into steps that can be completed independently. With the framework in place the authors commence the task of completing these steps.

Profit Analysis Model of Smart Item Implementation in Integrated Supply Chain Process

Nowadays all links of the entire supply chain need to integrate their different infrastructures and they have better control of them to drive better profits. This integration should offer the ability for companies in order to have an overall and transparent insight to its supply chain activities. An intelligent supply chain which is mainly supported by Smart Items technology can satisfy the need of those integration. By means of Smart Items, a company can benefit some advantages. Those are cost reduction and value creation. However, currently there is no comprehensive Smart Item infrastructure exists yet so it is difficult to calculate the true benefit information. This paper attempts to recommend a model for estimating the benefits of implementing Smart Items in a company which has an integrated supply chain process. The integrated supply chain means that three echelons (supplier, shipper and retailer) of supply chain are belonged to a company. The proposed model was used to determine the shrinkage value and RFID tag price which can give the maximum benefit of Smart Items implementation. A numerical example is also provided to give a better comprehension on model calculation.

SECURITY AND DDOS MECHANISMS IN INTERNET OF THINGS

Internet of Things refer as interconnection of smart item, protected from small espresso device to massive automobile, speak with every different with out human interactions also known as as Device to Device communications. In modern emerging global, all of the devices become smarter and might communicate with other gadgets as properly. With this speedy development of Internet of Things in one of a kind location like smart home, clever hospital and many others. It also have to face a few difficulty to securing overall privateness due to heterogeneity nature. There are such a lot of kinds of vulnerability but right here in this paper we pay attention on Distributed Denial of Service assault (DDoS). DoS is attack that may block the usage for real user and make network resource unavailable, consume bandwidth; if comparable assault is penetrated from exceptional resources its name DDoS.In this paper we will discuss various IoT security issues and Cryptographic Services to solve such issues.

Going beyond auto‐ID: a service‐oriented smart items infrastructure

PurposeThe purpose of the paper is to show that smart item technologies, like RFID and sensor networks, are considered the next big step in business process automation. Through automatic real‐time data acquisition, these technologies can provide benefits to a variety of industries by improving the efficiency of their operations. A service‐oriented infrastructure is proposed that enables the integration of RFID, wireless sensor networks and embedded systems technologies with existing business processes.Design/methodology/approachThis paper discusses the system requirements of a smart items infrastructure in detail. Based on these requirements, the overall infrastructure and the constituting components are introduced. Also, using two real‐world scenarios, it is shown how the proposed infrastructure can be used.FindingsThe paper found a set of technical requirements for a smart items infrastructure. The research resulted in the architectural design presented.Originality/valueTo the best of one's knowledge, this paper is the first to identify and explain the technical requirements for a holistic smart items infrastructure. The service‐oriented system architecture provides a new approach to a flexible/adaptable infrastructure for ubiquitous computing. By pointing out requirements and open issues, the paper identifies interesting topics for future research in this area.

Diffuse Political Support and Antisystem Political Behavior: A Comparative Analysis

concept of values. Of course it also is possible that response set is operating across the pro-worded items; if this were the case, reliability as determined by coefficient alpha could be high, even though many responses were invalid (in this instance, con sentiment misrepresented as pro sentiment). However, the format of the response options-to what extent does respondent feel one way or the other, pro or con-makes response set much less likely than other formats (e.g., agree-disagree). For assessing the potential usefulness of the indicator we do just rely on reliability (there is no infallible measure, since even test-retest reliability can be contaminated by true change), but look, additionally, at how the scale performs in relation to other variables. 4The urban Costa Rica sample was drawn from sample frame prepared by Professor G6mez, already used and refined in six national probability samples as well as several smaller studies. In the present investigation, in order to retain comparability with the urban sample of New York, only two of the four strata in the sample frame were used, the metropolitan area of San Jose and the urban areas of provincial capitals of Alajuela, Cartago, and Heredia. Eliminated were the two rural strata. Each stratum was in turn stratified according to an index of socioeconomic status, based upon housing characteristics and ownership of electrical artifacts as reported in the 1973 national census. Primary sampling units This content downloaded from 157.55.39.221 on Sun, 06 Nov 2016 05:48:04 UTC All use subject to http://about.jstor.org/terms ANTISYSTEM POLITICAL BEHAVIOR 251 can survey, conducted in Guadalajara during July and August 1979. This purposive sample, with total N of 169, was drawn from six middleclass sections of Guadalajara. Planned by Seligson and John A. Booth, the study was conducted with the institutional support of the University of Arizona Guadalajara Summer Program. In the Guadalajara survey ten-point response format was used in place of the seven-point format, and, because of space limitation, only items C through G were administered. The reliability analysis for the Urban Costa Rica and Guadalajara samples is also given in Table 2. The Political Support-Alienation scale shows satisfactory reliability in the Costa Rican sample and achieves an even higher level of reliability in the Mexican sample. These surveys also included the five Trust in Government items, administered according to the same format used in the National Election Studies carried out by the Survey Research Center of the University of Michigan.5 For reliability analysis, we dichotomized them following the procedure of Miller (1974, p. 953), with the most negative response (see Table 1) scored as 1 and the other categories scored O. In the New York City general public survey, only subsample consisting of 372 respondents received the Trust in Government items. Among the 284 general public respondents could be scored on all items, Table 3 shows that the reliability coefficient is .70, while in the university sample it is even lower, reaching level of only.66. These are low, though unacceptable (according to customary practice in basic research), levels of reliability. Interestingly, respondents from academia appeared to have more trouble with these items than did the general public. From Table 3 one also sees that the Trust in Government items have similarly low, reliability in two of the Latin American samples. If we designate values less than .6 as unacceptably low reliability, the Costa Rican sample approaches this level. The Guadalajara sample shows somewhat higher reliability-but still in the .6-.7 range. Also, the blue-collar Mexican border-cities analyzed by Seligson (forthcoming) showed reliability coefficient in the .6-.7 range (.63). were then selected at random using the PPS method. Within each unit all dwellings were visited, and list of all residents eighteen years and over was prepared. The final selection of respondents was then drawn at random from these lists. I Since 1974 the SRC has made minor change in the wording of the last two items in the series. The smart item was revised by deleting who usually know what they are doing from the first part of the item, while the crooked item was revised by inserting the words a little before the first use of crooked and deleting crooked after not very many are. We have used the original format to retain compatability with the earlier SRC work as well as with some of our own studies. These changes do appear to have increased the reliability of the SRC data. This content downloaded from 157.55.39.221 on Sun, 06 Nov 2016 05:48:04 UTC All use subject to http://about.jstor.org/terms