Agriculturalinformationization has become a symbol and the key of modern agriculture, as the service function of agricultural information technology growing, the development of agricultural informatization can significantly promote agricultural’s sustained develop,and it will be more and more become the basic resource and development of agricultural production activities. However, the traditional extensive agriculturalinformationization development mode has already can’t satisfy the requirement of agricultural sustainable development, the application of the Internet of things in agricultural informatization can effectively reduce the human consumption and the impact on the farmland environment, which can obtain accurate crop environment and information, so as to use all kinds of equipment with the function of automatic 、 intelligent and remote control, that pepole an never leave home to monitor farmland information.It will realize scientific planting and management and promot the modern agricultural development mode change,which will provide a new platform for the development of our country agriculture, and change the traditional mode of agriculturalinformationization development.
maintenance, workflow automation and data-driven production. These enhancements could be seen as an improvement in the value creation component of their business model, and also their trigger to initiate a BMI, making these companies fall in the category of Technology Adoption BM (Laudien & Daxböck, 2016). On an external note, an interviewee wanted to put pressure on the fact that many, if not some, of their customers who are part of small and medium enterprises, face the technological implementation step by step. With this, what is wanted to be entailed, is that in small and medium enterprises, the resources for an investment at the organizational level is complicated, and companies of this kind prefer to start small and then implement on a larger scale. In our results, we were unable to find any companies that implement IIoT in all of its complexity, but we could assume that the business model of technological adoption, is a first step towards the complete implementation of IIoT, through a systematic trial-and-error of new innovations inside the firm.
As the sensor nodes in IoT are readily exposed to attacks, IDS proxy was designed for each node in IoT to realize network monitoring, group decision, and other operations. However, current algorithms are limited by drawbacks such as late alarms, high false alarm rate, and low detection efficiency . This study focuses on optimization of efficiency and effectiveness of intrusion detections. Owing to the rapidly increasing data trans- mission size in IoT, feature extraction can be extremely time consuming and its efficiency has a severe effect on detections. To guarantee good efficiency and effective- ness of intrusion detections, extractions of feature vec- tors of the data obtained were achieved by the PCA algorithm. In this way, the efficiency and effectiveness intrusion detection algorithm were significantly improved.
Abstract— The agribusiness sector is the largest economic sector and the most important part of the Indonesian national economy, but the agribusiness sector begins to experience threats in fulfilling human food. Fulfillment of food faced some challenges including an increase in population, which means rising food, urbanization resulting in a decrease in the number of farmers and dietary changes, limited resources (land and air), changes to facilitate and waste food. This corresponds to the data issued by the United Nations, which is the fulfillment of food from approximately 9.6 billion people in the world in 2050 . Along with that, the agricultural land area also decreased due to the transfer of agricultural land function. Farmbot can increase agricultural production to solve human food because it can manage crops within 24 hours without stopping. Farmbot is liquid of agricultural robots that can plant seeds with regular, watering plants and monitoring plant growth. Farmbot can be controlled through an application interface that allows remote access from any location in easy Internet-connected devices. In this study, it will create an automation system that can plant seeds, watering agricultural crops by controlling air production, monitoring plant conditions, plant databases by using applications and designing algorithms to detect crops. Besides, other ways can measure the moisture of the soil to scheduling watering as a watering parameter. To implement this feature can work using a robotic hand with a CNC (Computer Numeric Control) gesture system that would be controlled by the Arduino and Raspberry PI. Following are the procedures for implementing agricultural automation with IoT applications (Internet of Things), seedlings with the help of seeders that stored in plant databases, watering and direct monitoring by users who use camera help.
A resident health information system based on the Internet of Things is discussed in.The system can provide comprehensive services for community residents. In particular, by analyzing existing issues, it is highlighted that the new data integration and application technology is necessary，such as Internet of Things， mobile Internet ， cloud computing and big data. An elderly healthy wearable hand ring system based on the Internet of Things to collect and monitor personal health data in real time is discussed in. The software system can collect sensor real -time monitoring data, establish complete personal health information database including body temperature, blood pressure, blood glucose, electrocardiogram, sleep, movement. The monitoring devices with data telecommunication function and the community monitoring management server with data processing and health estimation are discussed in. To relieve the prevalence rate of chronic disease and the aging population, the technique of front-ends and monitoring measurement were used in the design of the monitoring terminals which were applied in the outdoor and indoor monitoring conditions．In view of the traditional medical monitoring system’s problems, such as excessive lead wire, limited user activity, insufficient of early warning and medical guidance， a human body’s cloud health monitoring and early warning system is discussed in .It is aimed at providing the technical support for the body disease early warning of handicapped persons， and also creating conditions for the individuals, families, community monitoring and remote medical treatment．An advanced ubiquitous healthcare monitoring system with the aid of wireless sensor network based on the Wi-Fi/3G/LTE relay sensor nodes is discussed in. In this work, wearable healthcare devices are used to measure the human body vital signs, device built-in wireless communication module via a public wireless communication network to transmit real-time medical monitoring and analysis system.
With the advent of high dimensionality, adequate identification of relevant features of the data has become indispensable in real-world scenarios. In this context, the importance of feature selection is beyond doubt and different methods have been developed. However, with such a vast body of algorithms available, choosing the adequate feature selection method is not an easy-to- solve question and it is necessary to check their effect- iveness on different situations. Nevertheless, the assess- ment of relevant features is difficult in real datasets and so an interesting option is to use artificial data. In , several synthetic datasets are employed for this purpose, aiming at reviewing the performance of feature selection methods in the presence of a crescent number or irrele- vant features, noise in the data, redundancy and inter- action between attributes, as well as a small ratio between number of samples and number of features. Brown et al.  present a unifying framework for information theor- etic feature selection, bringing almost two decades of re- search on heuristic filter criteria under a single theoretical interpretation. While many hand-designed heuristic cri- teria try to optimize a definition of feature “relevancy” and “redundancy,” the approach leads to a probabilistic frame- work which naturally incorporates these concepts. As a result, we can unify the numerous criteria published over the last two decades and show them to be low-order ap- proximations to the exact (but intractable) optimization problem. The primary contribution is to show that a large empirical study provides strong evidence to favor certain classes of criteria, in particular those that balance the rela- tive size of the relevancy/redundancy terms.
Among the wide and impressive range of applications enabled by Internet technology, IOT remains smart and interactive health care systems that are especially important for gathering rich information about our mental and physical health. The sensors in IOT are used either on the body or in the surrounding environment, by integrating mobile technology into IOT-based health care systems; the interactive care system can be transformed into a preventive and effective health system. In this context, the IOT-based health care system calculates the severity of the student's illness by predicting the potential disease by extracting and deriving health measurements collected from medical devices and other IOT devices. In order to effectively analyze student health care data, a smart health care system was designed for students. In our case study, a set of data and characteristics for each case of disease were included. This data is further analyzed to verify the image of the model, using different classification algorithms and then calculating the results based on accuracy, sensitivity, privacy and response time. Moreover, the proposed methodology effective in decision- making by providing sensitive information to the time-based care or specialist doctor on time. Finally, the system presents the results of the diagnosis to the list of data again to make a centralized feedback and an update and use later.
Although the cloud basedInternet of things online monitoring system proposed in this paper is very innovative, there are still many improvements. First, according to the design concept of the modern agriculturalInternet of things monitoring system based on cloud computing, the function of the system needs to be improved. Second, several exemplary applications should be constructed to push the application of ani- mal networking in agriculture. After accumulating enough data of Agricultural Inter- net of things system, the modeling method of relevant functional requirements is further studied and tested to promote the application of large data analysis in agricul- ture.
The meter based on the internet of things analyses the composition in every step of industrial production and can effectively monitor the product quality. For example, there are a series of operations including the mixing, reaction, forming and packing in the process of the pharmaceutical preparation and even one mistake occurring in any step will cause the serious consequence. Using Internet of things meter, with on-line product quality inspection and production scheduling system, can make the optimum decision for the material consumption, energy consumption in the whole process of the production.
The smart agricultural information collection system based on cloud computing and NB-IoT mainly uses the latest Internet of Things technology to construct an IOT sensor monitoring network system for crop irrigation, growth environment and state, and meteorological parameters in the modern agricultural demonstration park. Nowadays, agriculture is gradually moving towards an era of unmanned, regionalized, highly specialized and high-efficiency. It relies on modern science and technology to develop agriculture, so that no one is required to be on duty in the field, realize digital irrigation, and fully utilize computer automatic control and software data systems to ensure reliable production. It can improve efficiency while steadily increasing revenue.
Materials & Methods: In present clinical trial on 60 patients with heart failure admitted to Seyyed al-Shohada Hospital in Urmia, the samples were selected by using convenience sampling method and randomly divided into two 30-patient experimental and control groups. Data collection tools were Orem’s self-care model-based needs assessment forms and MacNew quality-of-life questionnaire. The data was collected before and three months after implementing the self-care program. Data was analyzed using chi-square test, independent t-test, Man-Witney U test and variance analysis.
In this paper, a real-time RFID-GSM based vehicle identification system compatible with IEEE802.15.4 is designed and implemented at 2.4GHz which provides a full automation of highway scanning far away from the monitoring station. Once RFID reader broadcasts "Auto- Highway-Scanning" RF signal, each tagged- vehicle within the RF-field of 80m from the reader runs a collision-avoidance scheme involving two strategies. Firstly, the unique tag's CC2530F256 SoC MAC address is used to generate a fixed waiting-time. The second strategy utilizes tag's CC2530F256 pseudorandom number generator to add a random value to the first strategy output. This strategy makes the proposed scheme dynamic
various units. Each IIPU has its own device code, MAC address, port number and configurable IP address. After each device was powered on, it got its own variety of data information, analysis of the state, and then sent connection requests to the central server. Before successfully connected, IIPUs ran in accordance with the established mechanism. After the center server responded to the connection request and allowed the device to be accessed, IIPUs confirm the system time with server to make sure the operations between different IIPUs can be consistent, and then sent their necessary data and wait to be confirmed. Figure 8 shows the design process of system software.
G. Raj et. al.   have proposed RF based module to gather the information of soldiers on the battlefield. V. Ashok   has proposed a one-time password (OTP) based system to secure and authenticate the data processing. Jassas et. al.   have proposed an idea of integration of wireless sensor network and cloud computing for the information processing in real-time and speedy manner.
In immune systems, when antigens touch immune cells, immune cells recognize antigens through the antibodies spreading outside the surface of the immune cells. To simulate the mechanism, a match method that recognizers recognize antigens is needed. Presently, feasible matching methods include Hamming, Euclidean, r- Contiguous, and etc . Most existing literatures on AIS based information security adopts r-Contiguous which judges whether a group binary string is the same between recognizer and antigen. Some effects of antigen matching were achieved in some ways. However, some binary characters are the same, but are not contiguous. The proposed model improves the traditional r-Contiguous and constructs grouped r-Contiguous match algorithm. It calculates the sum of groups which have the same characters and are not near to each other.
Results of this study showed that sexual training and sexual counseling were effective in increasing the sexual intimacy and satisfaction of breastfeeding women in the intervention group, and the impact of sexual counseling three months after the training sessions was stable still. Considering finding of the study, it can be concluded that sexual training and sexual counseling help people improve their sexual relations and many marital problems and conflicts can be prevented by providing these trainings to couple especially in vulnerable periods of life such as breastfeeding. Due to undeniable impact of sexual issues in marital life, it is recommended that training workshops improving the sexual relations to be established in health centers, emphasizing on improved quality of sexual relation and prevention of sexual problems during pregnancy and breastfeeding, since these trainings can be used to increase sexual intimacy and satisfaction and thus marital satisfaction of couple.
Thus, the informatization procedure of manufacturing and services industry combines information technology, automation technology, modern management techniques with manufacturing technology, and becomes a system engineering that improves manufacturing and service industries integrity, sustainability and service ability. Internet of things  through comprehensive perception, reliable delivery and intelligent processing makes the information reach different destinations so as to achieve "things - things" connected and information sharing. Manufacturing and services industries are required to achieve the informatization management from product design
The researchers, after subjects had acquired the necessary permits and made arrangements with the authorities at the hemodialysis ward, submitted a questionnaire that contained the inclusion criteria to the patients in the ward. The patients who were qualified were informed about the objectives and method of the study and asked to participate. Once the experimental and control groups were formed, all the participants completed a demographic, a checklist of hemodialysis patients’ needs, and a quality of life questionnaire. Subsequently, the program based on the continuous care model was implemented for the experimental group, while the control group received only the routine care.
Britton et al.  monitored the vertical forces acting on silo walls in the process of wetting grain with humid air. Their model silo, 1.5 m high and 1 m in diameter, was filled with wheat grain with an initial moisture content of 10%. They found that forcing humid air of a temperature of 23 ° C through the grain mass for about 900 min caused the total disappearance of friction against the walls. Gravity acting on the grain mass was completely counterbalanced by the force of the lateral pressure of the swollen grain. This occurred at a 6% grain moisture content increase. Grain swelling resulted in the appearance of strong pressures against the walls and a reduction of pressure against the bottom of the silo.
The Internet has been in existence for over forty years and the term ‘Internet of Things’ has been in use since the large scale adoption of RFID began a decade ago. So what is creating this new excitement about IoT? There are several factors. Today you have low cost but highly capable sensors, and advances in wired and wireless communication technology and network protocols that permit you to better connect sensors to the Internet. You have an array of tools, platforms, and analysis techniques that can process large amounts of sensor data and present meaningful insights. You can send data and receive insights through various devices such as your mobile phone, a tablet on your fridge, your car, or your computer. A close connection between things and humans, the cyber world and the physical world, has thus been established via sensors and devices. And that is why the potential for transformation is immense. Every industry will create new business models and offer new services to customers with the Internet of T