Research on a Good Life and Coordinated Development Based on Intelligent Communication and k-Means Algorithm

Due to the rapid development of society and economy, people have more and more urgent needs for a better life and coordinated development between regions. However, research on people’s good life and coordinated development based on new era technologies such as intelligent communication is not sufficient. The future of smart communications technology will be all over the place, from television to mobile phones and the Internet, and ICT is making the world look new, helping hundreds of millions of people to live, work, and play in the most creative ways. At the same time, ICT is managing cities in innovative ways, especially in an increasingly integrated information society, exchanging information knowledge and communicating on the move. In order to understand the impact of intelligent communication on people’s good life and coordinated development research, this paper uses intelligent communication and k-means algorithm-based methods to study people’s good life and coordinated development and conducts questionnaire surveys and constructs corresponding evaluation indicators analysis. The results showed that 36% of the respondents were satisfied with the housing environment, 24% were relatively satisfied, 76% were satisfied with the greening environment, and 13% were relatively satisfied. 41% of people are satisfied with their health, and 32% are satisfied with their work status. This shows that people’s good life and coordinated development are inseparable from rapid economic development, but rapid economic development alone is far from enough because rapid economic development can improve people’s material living conditions, but not necessarily promote people’s life coordination in the spiritual world. Therefore, for people’s good life and coordinated development, the improvement of material economy and the construction of spiritual level are indispensable.

Design of a System Supporting the Collection of Information on the Completed Didactic Classes at Medical University of Białystok as an Attempt at Improving the Quality of Education

Obtaining a sufficient amount of measurable and reliable results of student surveys has always posed a challenge for university teams tasked with the provision of the quality of education. This is especially visible at faculties where education is based on the classic classroom-based model, which then transfers to clinical units, hospital wards, and specialist laboratories. The highly unpredictable pandemic situation caused by the SARS-CoV-2 virus raises the bar for the evaluation of didactics. Fortunately, the continuous technological progress in the area of Artificial Intelligence makes it possible to design the implementation of tools that would improve the position of systems for the management of courses of studies. The evaluation survey for didactic classes, as one of the last output data obtained during the process, may finally become a fully recognized source of information about the conducted classes and the teachers themselves. On the other hand, it may become a tool for those surveyed to influence the quality of classes, express their opinion, present suggestions and propositions generally pertaining to changes in the process of education. New information technologies not only make it possible to improve the effectiveness of reaching the recipients, but also provide completely new, very reliable methods of acquisition of credible behaviour, used as integration data in solutions based on machine communication. Using Artificial Intelligence coupled with data may make it possible to use intelligent communication for effective management of the process of surveying – a solution that has so far been used in business, in the form of the so-called bots. As a result, this would lead to an ongoing, fully quantitative and qualitative, assessment of classes.

Intelligent Communication Management Terminal in the Construction of Human Resource Management Mode

With the rapid development of the economy, the integration of corporate strategic management and human resource management has become an issue of concern. This research mainly discusses the role of intelligent communication management terminal in the construction of human resource management mode. In this research, the system development process of this research mainly uses the class library in the software architecture layer to support the software development process. The main development language of Android, JAVA, is to install the Android Develop Tools plug-in on eclipse and install the Android SDK in the computer operating system to build the Android development environment. The development and application of the system not only make the enterprise managers more convenient and efficient in the process of managing the enterprise but also smooth the operation of the enterprise while reducing the human resource investment and also gives the employees more right to know and the right to participate in the enterprise construction. By creating more value while reducing human resource input, enterprises will enable it to obtain more benefits, and thus enter a cycle of good development and contribute to society. The system has the functions of personnel management, recruitment management, attendance management, training management, work management, and salary management. The recruitment management function of the system is mainly composed of recruitment plan management, recruitment information management, and talent pool. In the system’s recruitment plan management function, important information such as the recruitment part, the number of recruits, personnel requirements, and the specific arrival time of the personnel must be clarified. The personnel in charge of the enterprise personnel department shall conduct corresponding regulations according to the specific needs of the enterprise and shall be experienced by the personnel department. The review is carried out, and all parts of the enterprise are coordinated and completed at the same time. In the platform performance test, when the number of concurrent users reaches 50000, the request time is about 6 seconds, which meets the requirement that the response time of 10000 people per second is less than 10 seconds. This research puts forward suggestions and countermeasures for the optimization of human resource management, which can not only improve the efficiency of Y company’s human resource management but also provide useful reference and reference for other enterprises facing the same problem.

Blind Recognition of Parameters of Reed Solomon Code from Intercepted Erroneous Codewords

Error correcting codes are designed for reliable transmission of digital information over a noisy channel. Several papers have been published on blind identification of binary FEC codes but papers reported on the identification of non-binary error correcting codes are less. Due to its strong error correction capability, RS (Reed-Solomon) code is being used widely. So technique for blind recognition of RS code is required to analyse intercepted signal as well as for intelligent communication. This paper presents a technique for extraction of parameters of Reed-Solomon code from intercepted demodulated bitstream. The proposed algorithm is very simple and hence it is very practical for hardware implementation. Our approach has been verified using MATLAB simulation.

A New Reconfigurable Filter Based on a Single Electromagnetic Bandgap Honey Comb Geometry Cell

This work presents a new unit cell electromagnetic bandgap (EBG) design based on HoneyComb geometry (HCPBG). The new HCPBG takes a uniplanar geometry (UCPBG—uniplanar compact PBG) as a reference and follows similar design methods for defining geometric parameters. The new structure’s advantages consist of reduced occupied printed circuit board area and flexible rejection band properties. In addition, rotation and slight geometry modification in the HCPBG cell allow changing the profile of the attenuation frequency range. This paper also presents a reconfigurable unit cell HCPBG filter strategy, for which the resonance center frequency is shifted by changing the gap capacitance with the assistance of varactor diodes. The HCPBG filter and reconfiguration behavior is demonstrated through electromagnetic (EM) simulations over the FR1 band of the 5G communication network. Intelligent communication systems can use the reconfiguration feature to select the optimal operating frequency for maximum attenuation of unwanted or interfering signals, such as harmonics or intermodulation products.

Deep Integration of Physical Health Education Based on Intelligent Communication Technology

In recent years, intelligent medical communication technology has developed rapidly, and the advancement of hardware technology has accelerated the development of software technology. Physical exercise breaks the limits of all aspects of the human body and requires scientific and reliable information. Industrial cameras realize collection and high-resolution image processing functions and use artificial intelligence to create conditions for collecting scientific data. With the powerful driving force of artificial intelligence, it is believed that physical education will develop to a new height. The intellectualization of physical education makes people expect that it will also bring some inevitable problems, but as long as we continue to overcome and improve, we believe that artificial intelligence will better serve physical education and benefit mankind. Artificial intelligence is the current trend of social development. This paper takes physical education as a breakthrough point to discuss the application of artificial intelligence in physical education. This paper uses the grey GM prediction model and questionnaire survey method to build an online education platform and develop an effective education model, which can integrate the country’s best educational resources and reduce time and space constraints. Providing a relaxing learning environment for education, one can learn anytime, anywhere. In a typical physical education system, the average self-efficacy score is converted from 20.48 points to 68.37 points, and the average self-score of physical education in the integrated artificial intelligence environment is converted from 30.25 points to 75.54 points. The data show that the quality of education has greatly improved.

Sub-terahertz (THz) antenna for Internet of Things and 6G Communication

Sub-terahertz (THz) technology is expected to deliver exceptional data rates for future sixth generation wireless communication systems especially for intelligent communication among devices falling under the Internet of Things (IoT) category. Moving from current 5G millimeter wave (mmW) technology towards THz spectrum will eventually provide unprecedented solutions that will guarantee higher transmission rates and channel capacity for any wireless communication system. With various electronic and wireless components working together to fulfill this promise, high gain antennas having compact profile is one such technology that will aid in achieving sub-THz communication while offering low path and power losses with reliable and fast data transfers. In this context, this work proposes a novel deformed patch antenna operating in the sub-THz spectrum i.e. at 300 GHz band. The proposed antenna is fed via a microstrip line following the proximity coupled feeding technique. Utilizing this technique provides a wide impedance bandwidth with a broadside radiation pattern having minimum side lobe levels of around −12 dB and a directivity of 10–15 dBi for the single and array elements respectively. The proposed design has a small footprint of 1.5 × 1.5 × 0.06 mm3 for the single element while the array element has dimensions of 6 × 5 × 0.06 mm3. Both the designs have been simulated in Computer Simulation Technology-Microwave Studio (CST-MWS) and the results verified via high-frequency structure simulator (HFSS) simulator. The results confirm the viability of the proposed designs to be potential candidates for future sixth generation and IoT based applications.