Computer Science Computer Networks and Communications

Internet of Things and Social Network Interactions

Description

This cluster of papers explores the intersection of Internet of Things (IoT) and social networks, focusing on sustainability, reliability, validity, indoor air quality monitoring, and data analysis. It also delves into the development of IoT applications and wireless sensor networks, as well as the dynamic perspectives on leisure activities within this technological context.

Keywords

Internet of Things; Social Networks; Sustainability; IoT Applications; Wireless Sensor Networks; Dynamic Perspectives; Leisure Activities; Reliability and Validity; Indoor Air Quality Monitoring; Data Analysis

The paper discusses the comprehensive mechanical, electromechanical, electromagnetic, control design and test approaches leading to the system integration, design solutions and physical implementation of electrically assisted bicycle as a result … The paper discusses the comprehensive mechanical, electromechanical, electromagnetic, control design and test approaches leading to the system integration, design solutions and physical implementation of electrically assisted bicycle as a result of the cooperative research work done by the Dutch Company-ID Bike and Technical University of Eindhoven.
Efficient Frequency-Domain Analysis of Dynamic Response for the Multi-Body Wave Energy Converter in Multi-Directional Waves Efficient Frequency-Domain Analysis of Dynamic Response for the Multi-Body Wave Energy Converter in Multi-Directional Waves
A remarkably improved high brightness phosphor, was developed and has been adopted for the projection CRT. The replacement of a portion of Al with Ga in YAG improved the brightness … A remarkably improved high brightness phosphor, was developed and has been adopted for the projection CRT. The replacement of a portion of Al with Ga in YAG improved the brightness and the saturation characteristics. While the brightness of is almost the same as that of at low cathode current densities, the former becomes about two times greater than the latter at high cathode current densities. The brightness of the phosphor and its saturation characteristics are presented and compared with other green phosphors which have been used for the projection CRT.
The Global Positioning System (GPS) is now attracting worldwide attention as a navigation sensor. One of the advantages of GPS is that you can find your position using GPS receiver … The Global Positioning System (GPS) is now attracting worldwide attention as a navigation sensor. One of the advantages of GPS is that you can find your position using GPS receiver wherever you go; however, it is not always true. If you are in an obstructed environment, for example, in urban canyons or inside a building, you cannot navigate with GPS receivers. This paper shows the possibility of navigation using GPS receivers even in blocked environments or indoors. The paper describes the navigation system that was developed and implemented at Seoul National University (SNU) GPS Lab. This system uses pseudolites and GPS receivers. The paper then shows the results of experiments and the accuracy of the system. The results of the experiments are satisfactory. The RMS error of the static test is 1 mm horizontally and 2 mm vertically. And the RMS error of the dynamic experiment is 5.6 mm horizontally and 15 mm vertically. This Indoor Navigation System can be used independently or with GPS satellites where they are visible.
In this paper, a new predistortion method to reduce nonlinearity of a traveling wave tube amplifiers (TWTAs) is proposed. Nonlinear transfer characteristics of TWTA are analyzed using a carrier complex … In this paper, a new predistortion method to reduce nonlinearity of a traveling wave tube amplifiers (TWTAs) is proposed. Nonlinear transfer characteristics of TWTA are analyzed using a carrier complex power series (CCPS). An inverse complex power series of a predistortion linearizer to linearize TWTA are also proposed. The inverse nonlinear distortion characteristics of predistorter can be realized with reflective structure that is composed of Schottky diode and resistor-terminated transmission line. The AM-to-AM and the AM-to-PM characteristics of TWTA on K-band were improved from -5.8 dB and -37.3/spl deg/ to 0.8 dB and 6.7/spl deg/ by proposed predistortion linearizer, respectively.
The number of installation of Distributed Generators (DG) such as photovoltaic and wind generations has been rapidly increasing in the world. Penetration of DG can contribute to reduce CO2 emissions … The number of installation of Distributed Generators (DG) such as photovoltaic and wind generations has been rapidly increasing in the world. Penetration of DG can contribute to reduce CO2 emissions and conserve energy. On the other hand, since reverse power flow from DG to distribution system occurs exceed of the upper limit of adequate range of voltage, various voltage control methodologies have been proposed in order to keep voltage within the secure range. This paper describes several advanced voltage control technologies and shows the trend and future perspective about the control of distribution system with many DGs.
This paper proposes an agricultural environment monitoring server system for monitoring information concerning an outdoors agricultural production environment utilizing Wireless Sensor Network (WSN) technology. The proposed agricultural environment monitoring server … This paper proposes an agricultural environment monitoring server system for monitoring information concerning an outdoors agricultural production environment utilizing Wireless Sensor Network (WSN) technology. The proposed agricultural environment monitoring server system collects environmental and soil information on the outdoors through WSN-based environmental and soil sensors, collects image information through CCTVs, and collects location information using GPS modules. This collected information is converted into a database through the agricultural environment monitoring server consisting of a sensor manager, which manages information collected from the WSN sensors, an image information manager, which manages image information collected from CCTVs, and a GPS manager, which processes location information of the agricultural environment monitoring server system, and provides it to producers. In addition, a solar cell-based power supply is implemented for the server system so that it could be used in agricultural environments with insufficient power infrastructure. This agricultural environment monitoring server system could even monitor the environmental information on the outdoors remotely, and it could be expected that the use of such a system could contribute to increasing crop yields and improving quality in the agricultural field by supporting the decision making of crop producers through analysis of the collected information.
The paper presents an overview of the state of the art in collision avoidance related with transportation systems like the automatic identification system (AIS) for maritime transportation, traffic alert and … The paper presents an overview of the state of the art in collision avoidance related with transportation systems like the automatic identification system (AIS) for maritime transportation, traffic alert and collision avoidance system/automatic dependent surveillance-broadcast (TCAS/ADS-B) for aircraft, and the car-2-car communication system (C2C) for road transportation. The examined systems rely on position detection and direct communication among vehicles. Alike a collision avoidance system for railway transportation "RCAS" is introduced. Focussing on the communication aspects, possible applicability of the examined state of the art systems to RCAS is studied. The analysis are performed at different communication system layers, namely application (APP) layer, media access control (MAC) layer and physical layer (PHY), which are the most relevant for a single hop network broadcast system as favorized in RCAS. Since multihop and addressed communication are not foreseen in a first RCAS approach, the network layer is not taken into account.
The purpose of this paper is to propose a new type of indoor electromagnetic wave absorber using magnetic wood. This magnetic wood has good electromagnetic wave absorbing characteristics, a low … The purpose of this paper is to propose a new type of indoor electromagnetic wave absorber using magnetic wood. This magnetic wood has good electromagnetic wave absorbing characteristics, a low specific gravity, a wood texture and other wood characteristics and can be easily processed. Electromagnetic wave absorbing characteristics were measured for four types of magnetic wood. The sandwich-type magnetic wood demonstrated the best wave absorbing characteristics among the four types of magnetic wood that were studied. The experimental results showed that the proposed indoor electromagnetic wave absorber can be used to suppress the transmission and reception of cellular phone and Personal Handy Phone System (PHS) signals and can be used as a cross protection for indoor wireless Local Area Networks (LAN). This wood can be processed for use in furniture, building materials, and other applications.
We measured the basic electrical insulation characteristic of biodegradable polylactic acid (PLA), and the following results were obtained. The volume resistivity, dielectric constant, and dielectric loss tangent measured at room … We measured the basic electrical insulation characteristic of biodegradable polylactic acid (PLA), and the following results were obtained. The volume resistivity, dielectric constant, and dielectric loss tangent measured at room temperature were almost the same as those of crosslinked polyethylene (XLPE) currently used as insulating material for cables and electric wires. The mean impulse breakdown strength of PLA was about 1.3 times that of XLPE. Also, space charge accumulation in PLA and XLPE was measured. The amount of space charge accumulation in PLA was one-half that in XLPE when a DC voltage was applied for a short time.
This paper presents a sparse matrix partitioning strategy to improve the performance of SpMV on GPUs and multicore CPUs. This method has wide adaptability for different types of sparse matrices, … This paper presents a sparse matrix partitioning strategy to improve the performance of SpMV on GPUs and multicore CPUs. This method has wide adaptability for different types of sparse matrices, and is different from existing methods which only adapt to some particular sparse matrices. In addition, our partitioning method can obtain dense blocks by analyzing the probability distribution of non-zero elements in a sparse matrix, and result in very low proportion of zero padded. We make the following significant contributions. (1) We present a partitioning strategy of sparse matrices based on probabilistic modeling of non-zero elements in a row. (2) We prove that our method has the highest mean density compared with other strategies according to certain given ratios of partition obtained from the computing powers of heterogeneous processors. (3) We develop a CPU-GPU hybrid parallel computing model for SpMV on GPUs and multicore CPUs in a heterogeneous computing platform. Our partitioning strategy has balanced load distribution and the performance of SpMV is significantly improved when a sparse matrix is partitioned into dense blocks using our method. The average performance improvement of our solution for SpMV is about 15.75 percent on multicore CPUs, compared to that of the other solutions. By considering the rows of a matrix in a unique order based on the probability mass function of the number of non-zeros in a row, the average performance improvement of our solution for SpMV is about 33.52 percent on GPUs and multicore CPUs of a heterogeneous computing platform, compared to that of the partitioning methods based on the original row order of a matrix.
The IPSP(Inductive Power Supply and Pickup) system for the On-Line Electric Bus that can pickup inductive power from underground coils with high power efficiency has been developed recently and is … The IPSP(Inductive Power Supply and Pickup) system for the On-Line Electric Bus that can pickup inductive power from underground coils with high power efficiency has been developed recently and is now proposed in this paper. The presented IPSP system consists of four parts, that is, power inverter, road embedded rail, pickup module and a regulator. From the experiment of the proposed system, we obtained above 80% of total power transfer efficiency from three phase AC input of power inverter to DC output voltage of regulator with 100kW rated output power. In this case, the gap between road and the bottom side of pickup module was 200mm.
The optimum design of linear electron accelerators depends upon the degree of beam loading, i.e., the fraction of the radio-frequency power which is converted into beam power. With very light … The optimum design of linear electron accelerators depends upon the degree of beam loading, i.e., the fraction of the radio-frequency power which is converted into beam power. With very light loading, the product of the radio-frequency attenuation constant I, and the accelerator length L should be approximately 1.26 for maximum beam energy in a given length. For heavier loading the product IL must be reduced to produce maximum electron energy and maximum conversion efficiency from radio-frequency power to electron beam power. The attenuation constant I can be chosen by the proper selection of the dimensions of the accelerating structure. Expressions and design curves are given for the optimum values of IL to maximize electron beam energy and electron beam power as a function of beam loading.
Activated carbon fiber (ACF) was used as the carrier for a biofilter and the removal characteristics of ammonia gas by the ACF biofilter seeded with night soil sludge on a … Activated carbon fiber (ACF) was used as the carrier for a biofilter and the removal characteristics of ammonia gas by the ACF biofilter seeded with night soil sludge on a laboratory-scale were investigated. After physical adsorption of the ammonia gas on the ACF at 0.59 g N kg−1 dry ACF, biological the removal of ammonia occurred. The removal capacity of the ammonia gradually increased and its complete removal was observed up to the load of 1.5 g N kg−1 dry ACF day−1 while the maximum removal capacity was 3.5 g N kg−1 dry ACF day−1. Based on a kinetic analysis, the maximum removal rate of ammonia, Vm, obtained was 8.4 g N kg−1 dry ACF day−1 and the saturation constant, Ks, was 26 ppm.
Abstract Rao's Spacing Test is a useful and powerful statistic for testing uniformity with circular and periodic data. Previously published tables of critical values are incomplete, giving critical values only … Abstract Rao's Spacing Test is a useful and powerful statistic for testing uniformity with circular and periodic data. Previously published tables of critical values are incomplete, giving critical values only out to p=.l and n = 200. We extend those tables to n=1000 and for p-values from .001 out to 0.9. The extension will enable researchers to better evaluate the confidence with which they are accepting the null hypothesis, and to use the test with larger n Keywords: Circular statistics spacing tests uniformity tests Rao's table
Saving energy has become one of the most important issues these days. The most waste of energy is caused by the inefficient use of the consumer electronics. Particularly, a light … Saving energy has become one of the most important issues these days. The most waste of energy is caused by the inefficient use of the consumer electronics. Particularly, a light accounts for a great part of the total energy consumption. Various light control systems are introduced in current markets, because the installed lighting systems are outdated and energy-inefficient. However, due to architectural limitations, the existing light control systems cannot be successfully applied to home and office buildings. Therefore, this paper proposes an intelligent household LED lighting system considering energy efficiency and user satisfaction. The proposed system utilizes multi sensors and wireless communication technology in order to control an LED light according to the user's state and the surroundings. The proposed LED lighting system can autonomously adjust the minimum light intensity value to enhance both energy efficiency and user satisfaction. We designed and implemented the proposed system in the test bed and measured total power consumption to verify the performance. The proposed LED lighting system reduces total power consumption of the test bed up to 21.9% <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> .
Global positioning system (GPS) technology has greatly improved the ability to investigate animal ecology at fine spatial and temporal scales but many GPS telemetry-based investigations may be underutilizing the technical … Global positioning system (GPS) technology has greatly improved the ability to investigate animal ecology at fine spatial and temporal scales but many GPS telemetry-based investigations may be underutilizing the technical capabilities of modern transmitters. We estimated eastern timber wolf (Canis lycaon) movement distance and territory size using variable GPS transmitter sampling frequencies to evaluate the effect of programming details on estimated movement patterns, territory size, and transmitter performance. Estimated movement distance decreased exponentially as sampling frequency was reduced from 1 location every 5 minutes to 1 location every 24 hours, implying that intense sampling frequencies were required for accurate measurement of fine-scale wolf movements. Wolf territory size estimates using 95% minimum convex polygons declined with decreasing sampling frequency, whereas estimates using adaptive kernel methods were comparable across a range of sampling intensities. Estimated transmitter battery longevity increased as the interval between fixes was lengthened but transmitter efficiency, defined as the number of successful fixes obtained during battery lifespan of the transmitter, was highest with fix intervals of intermediate length. Although GPS transmitters are effective for documenting fine-scale movements of animals, we argue their performance is strongly dependent upon transmitter programming and scale of analysis. Effective use of GPS transmitters will require study-specific assessment of the trade-offs between sampling needs versus transmitter efficiency and longevity.
This research implements wireless accelerometer sensor module and algorithm to determine wearer's posture, activity and fall. Wireless accelerometer sensor module uses ADXL202, 2-axis accelerometer sensor (Analog Device). And using wireless … This research implements wireless accelerometer sensor module and algorithm to determine wearer's posture, activity and fall. Wireless accelerometer sensor module uses ADXL202, 2-axis accelerometer sensor (Analog Device). And using wireless RF module, this module measures accelerometer signal and shows the signal at 'Acceloger' viewer program in PC. ADL algorithm determines posture, activity and fall that activity is determined by AC component of accelerometer signal and posture is determined by DC component of accelerometer signal. Those activity and posture include standing, sitting, lying, walking, running, etc. By the experiment for 30 subjects, the performance of implemented algorithm was assessed, and detection rate for postures, motions and subjects was calculated. Lastly, using wireless sensor network in experimental space, subject's postures, motions and fall monitoring system was implemented. By the simulation experiment for 30 subjects, 4 kinds of activity, 3 times, fall detection rate was calculated. In conclusion, this system can be application to patients and elders for activity monitoring and fall detection and also sports athletes' exercise measurement and pattern analysis. And it can be expected to common person's exercise training and just plaything for entertainment.
As the LED’s lumen efficiency increases rapidly in recent years, many new LED illumination applications are emerging. LEDs have features such as long-life, small and low power consumption. Therefore, they … As the LED’s lumen efficiency increases rapidly in recent years, many new LED illumination applications are emerging. LEDs have features such as long-life, small and low power consumption. Therefore, they are used in various occasion such as full color large sized LED displays, traffic lights, and etc. In this paper, an energy efficient street lighting system is proposed. The presented system consists of a LED lamp module, a digitally-controlled multi-phase driving system for LED lamp and an Ethernet-based communication interface. A developed prototype system will be presented in this paper and experiments will be performed to verify the correctness of the proposed system. According to the experimental results, the lighting efficiency is 85 % and the conversion efficiency is 90 %.
Lettuce was grown under pulsed white LED light at variation pulse cycles and DT ratios (illuminated period/cycle), and the relative growth rate per unit luminous energy and photosynthetic rate were … Lettuce was grown under pulsed white LED light at variation pulse cycles and DT ratios (illuminated period/cycle), and the relative growth rate per unit luminous energy and photosynthetic rate were examined. Both the growth rate and photosynthetic rate were generally increased (except at a pulse cycle of 10ms and a DT ratio of 50%) compared with continuous illumination. Particularly, both the growth rate and photosynthetic rate were increased by 20% or more at a pulse cycle of 400μs and a DT ratio of 50%. A further slight increase in the growth rate was observed when the DT ratio was 33%. These results may be explained by the presence of a period of 200μs duration in which light is unnecessary (period of electron transport) in the light reaction of photosynthesis. This study supports the feasibility of LED plant factories.
Through the monsoon period of 1976, precipitation phenomena were observed at temporary stations around peaks and ridges of high altitude (5000-5500 m) in Shorong and Khumbu Himal, in addition to … Through the monsoon period of 1976, precipitation phenomena were observed at temporary stations around peaks and ridges of high altitude (5000-5500 m) in Shorong and Khumbu Himal, in addition to the observations made at Lhajung station (4420 m) in the Khumbu region. Through these observations, it was found that the amounts of precipitation at these two stations is 4 or 5 times larger than that at Lhajung. While day to day convective precipitation contributes the major part of the total amount at Shorong and Glacier EB 050 (E9) stations, a few rainy days of large amount of precipitation account for most of the contribution at Lhajung station. It was also found that the statistical features of precipitation as a function of time of day are systematically different among these three stations. Along the slope to Glacier EB 050 (E9) in Khumbu Himal, the amount of precipitation gradually increases with increase of altitude. However, along the slope to Glacier AX 030 in Shorong Himal, the amount is almost uniformly distributed from 4000 m up to the terminus of the glacier (5200 m).
The innovative Ubiquitous-City was born through convergence of construction, home applications and culture, with development of up to date information technologies and ubiquitous IT. The U-City can be applied to … The innovative Ubiquitous-City was born through convergence of construction, home applications and culture, with development of up to date information technologies and ubiquitous IT. The U-City can be applied to a variety of special situations for managing functions of each city efficiently. This paper focuses on implementation of air pollution monitoring system. First, each sensor was tested after survey about market trends of a variety of sensors for detecting air pollution. Second, wireless communication modules for monitoring system were developed using wireless sensor networks technologies based on ZigBee. And then a performance of modules was estimated in the real-fields. Through software programs written in nesC for efficient routing in wireless networks were simulated using TOSSIM simulator. Finally, integrated wireless sensor board which employs dust, CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> , temperature/humidity sensor and a ZigBee module was developed. The board is embedded device based on AT91SAM7S64 porting uCOS. This paper accelerates the digital convergence age through continual research and development of technologies related the U-City.
As the use of smart devices is being activated in the education sector the introduction of smart education using smart devices is coming into full swing. For universities in 2012 … As the use of smart devices is being activated in the education sector the introduction of smart education using smart devices is coming into full swing. For universities in 2012 the Ministry of Education, Science and Technology is establishing a smart campus establishment plan and promoting it so that students can use electronic devices including smart devices to learn anywhere and anytime. For it is the study designed and implemented a convenient and practical attendance management system. The suggested system automatically uses the Bluetooth 4.0 communication of the students’ smart phones when the student enters the lecture hall of the course to check the location of the Beacon and automatically acknowledges attendance if it is valid location. It is characterized by the fact that there is no action to be taken on the part of the student or professor for checking attendance. Also the system recognizes the student and professor modes using the smart phones’ number and registers students and professors. Thus it can be used more conveniently because there are no other actions required.
In recent years, bicycles have quickly become one of the major urban sports. At the same time, with the rise of Internet of Things (IoT), embedded system combine IoT devices … In recent years, bicycles have quickly become one of the major urban sports. At the same time, with the rise of Internet of Things (IoT), embedded system combine IoT devices are widely used and making computing truly ubiquitous. Although bicycles have various functions, they fail to provide cyclists with sufficient exercise-related information and post-exercise analysis. Therefore, this paper introduced a bicycle record system of ground conditions based on IoT which is combining smartphone and embedded system. The event data recorder comprised two parts, a "smartphone-based event data recorder"and "bicycle-based real-time information feedback system". Using the event data recorder, this paper integrated and provided various types of real-time information for cyclists while they cycled to help them achieve their desired exercise results. After cycling, the cyclists could view cycling-related information through software analysis. This information included cycling routes taken, total cycling distance, and total calories burned. The event data recorder also saved information related to cycling routes, such as acceleration, deceleration, directional changes, and slope changes. By analyzing the recorded information, cyclists not only gained further insight into their exercise results but were also able to share cycling-related information through the Internet, which would benefit cyclists who had not cycled along this route before. By developing the bicycle record system, this paper aimed to provide cyclists with real-time, accurate, and complete information, enabling them to enjoy a consummate cycling environment.
Staff attendance information has always been an important part of corporate management. However, some opportunistic employees may consign others to punch their time cards, which hampers the authenticity of attendance … Staff attendance information has always been an important part of corporate management. However, some opportunistic employees may consign others to punch their time cards, which hampers the authenticity of attendance and effectiveness of record keeping. Hence, it is necessary to develop an innovative anti-cheating system for office attendance. Radio-Frequency IDentification (RFID) offers new solutions to solve such problems because of its strong anti-interference capability and non-intrusiveness. In this paper, we present a smart attendance system that extracts distinguishable phase characteristics of individuals to enable recognition of various targets. A frequency distribution histogram is extracted as a fingerprint for recognition and the K-means clustering method is utilized for more fine-grained recognition of targets with similar features. Compared with traditional attendance mechanisms, RFID-based attendance systems are based on living biological characteristics, which greatly reduces the possibility of false records. To evaluate the performance of our system, we conducted extensive experiments. The results of which demonstrate the efficiency and accuracy of our system with an average accuracy of 92%. Moreover, the system evaluation shows that our design is robust against differences in the clothing worn and time of day, which further verifies the successful performance of our system.
The current excessive limitations to mobile RFID tags and readers make it impossible to apply present codes and protocols. The technology for information and privacy protection should be developed in … The current excessive limitations to mobile RFID tags and readers make it impossible to apply present codes and protocols. The technology for information and privacy protection should be developed in terms of general interconnection among elements and their characteristics of mobile RFID in order to such technology that meets the RFID circumstances. In this paper, transplanting and extending security library for protecting mobile RFID information in secure mobile RFID terminal S/W platform system to support security application on the path of all data from RFID reader to application server.
Image recognition has always been a hot research topic in the scientific community and industry. The emergence of convolutional neural networks(CNN) has made this technology turned into research focus on … Image recognition has always been a hot research topic in the scientific community and industry. The emergence of convolutional neural networks(CNN) has made this technology turned into research focus on the field of computer vision, especially in image recognition. But it makes the recognition result largely dependent on the number and quality of training samples. Recently, DCGAN has become a frontier method for generating images, sounds, and videos. In this paper, DCGAN is used to generate sample that is difficult to collect and proposed an efficient design method of generating model. We combine DCGAN with CNN for the second time. Use DCGAN to generate samples and training in image recognition model, which based by CNN. This method can enhance the classification model and effectively improve the accuracy of image recognition. In the experiment, we used the radar profile as dataset for 4 categories and achieved satisfactory classification performance. This paper applies image recognition technology to the meteorological field.
This research addresses the critical need for affordable, portable ventilators, particularly for patients with respiratory distress, including those with COVID-19. These devices are essential for initial patient care during transport … This research addresses the critical need for affordable, portable ventilators, particularly for patients with respiratory distress, including those with COVID-19. These devices are essential for initial patient care during transport to hospitals. This project focuses on developing a volume-controlled ventilator that adheres to fundamental medical standards, enabling precise adjustments of tidal volume (VT), I/E ratio, and respiratory rate (RR). The ventilator utilizes an Arduino Mega 2560 controller to manage a solenoid valve, which regulates airflow for inspiration and expiration. Tidal volume, the volume of air delivered per breath, is adjustable between 50ml and 805ml, with selectable increments of 5ml to 20ml. The solenoid valve's activation controls the inspiration phase, allowing for adjustable inspiration times from 0.25 to 3.8 seconds. Conversely, deactivation facilitates expiration, with adjustable expiration times from 0.75 to 6.3 seconds. This precise control over respiratory parameters aims to provide effective and adaptable respiratory support, enhancing accessibility to crucial medical interventions.
Small antennas exhibit varying characteristics, necessitating distinct impedance matching systems for different frequencies. The challenge of impedance mismatch, caused by the frequency dependent nature of impedance, leads to significant signal … Small antennas exhibit varying characteristics, necessitating distinct impedance matching systems for different frequencies. The challenge of impedance mismatch, caused by the frequency dependent nature of impedance, leads to significant signal and power loss. This project addresses the development of a small antenna with an impedance-matching system tailored to a specific frequency to optimize performance. The objectives of the project are threefold: (1) to design and build a small antenna with an effective impedance-matching system, (2) to validate theoretical models through experimental testing, and (3) to explore potential applications in fields such as laboratory equipment and radios.
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Abstract—This paper presents the design and implementation of a self-charging electric bicycle that integrates regenerative braking and solar energy harvesting to enhance energy efficiency and reduce dependency on external charging … Abstract—This paper presents the design and implementation of a self-charging electric bicycle that integrates regenerative braking and solar energy harvesting to enhance energy efficiency and reduce dependency on external charging sources. The proposed system employs a brushless DC (BLDC) hub motor, a lithium-ion battery bank, and an ATmega328p microcontroller to manage energy conversion and distribution. Regenerative braking captures kinetic energy during deceleration, while a solar panel mounted on the bicycle frame contributes additional charging under daylight conditions. The BLDC motor controller was developed using Arduino IDE and simulated in Proteus to validate PWM generation and switching logic. Experimental analysis under various operating conditions demonstrated improved energy recovery and extended runtime. The findings indicate that the proposed self-charging mechanism can significantly improve the autonomy and sustainability of electric bicycles, offering a practical solution for urban and rural transportation needs. Keywords—Electric Bicycle, Self-Charging, BLDC Motor, Regenerative Braking, Solar Charging, Arduino, Lithium-ion Battery.
People live in the age of smart devices. The concept of the internet of things (IoT) needs to be brought up whenever smart gadgets are shown. Furthermore, every gadget is … People live in the age of smart devices. The concept of the internet of things (IoT) needs to be brought up whenever smart gadgets are shown. Furthermore, every gadget is gradually turning into a mobile node. These devices are utilized in low power and lossy networks because of their characteristics. Numerous obstacles exist in this field, motivating academics to focus on routing, connections, data transfer, and communications between nodes. In relation to this, the internet engineering task force (IETF) group already created a routing protocol for low power and lossy network (RPL), which was suggested for static networks and has since undergone numerous improvements. This article introduces the low power wireless network (LPWN) with a detailed model of the RPL protocol. It has also been considered how the destination-oriented directed acyclic graph (DODAG) is formed, and control messages are used to communicate between nodes in the RPL. The objective function (OF) is the center of the RPL. The principal objective functions objective function zero (OF0) and minimum rank with hysteresis objective function (MRHOF), which IETF group suggested, cannot function in the existing mobile network due to node disconnection and intermittent connectivity. The authors have enumerated and briefly discussed numerous RPL enhancements with new OFs. Numerous problems that the RPL routing protocol faced with mobility have been resolved.
The detection of criminal activities and anomalies through CCTV (Closed-Circuit Television) surveillance has be- come an essential component of modern security systems. With the rapid advancement of video analytics and … The detection of criminal activities and anomalies through CCTV (Closed-Circuit Television) surveillance has be- come an essential component of modern security systems. With the rapid advancement of video analytics and machine learning techniques, CCTV systems are now capable of automatically identifying suspicious behavior, unauthorized access, and other criminal activities in real-time. This paper explores the use of AI- based algorithms, including object detection, motion analysis, and facial recognition, to enhance the capabilities of CCTV systems in crime prevention and anomaly detection. By leveraging Advanced deep learning methods, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), are utilized to enhance performance and accuracy in various applications, the proposed system can accurately detect abnormal events, track individuals, and flag potential security threats, significantly improving situational awareness. Furthermore, the integration of anomaly detection algorithms can provide proactive alerts for un- usual patterns, enabling quicker responses from law enforcement or security personnel. The study also addresses challenges such as false positives, privacy concerns, and scalability of such systems in large urban environments. Overall, this research highlights the importance of combining intelligent video analysis with traditional surveillance infrastructure to create a more efficient and effective crime detection framework.
Indonesia has a population nearing 300 million and an electricity consumption of 1,285 kWh per capita. However, Mentawai Waters which is surrounded by wave energy potential, still has 23 out … Indonesia has a population nearing 300 million and an electricity consumption of 1,285 kWh per capita. However, Mentawai Waters which is surrounded by wave energy potential, still has 23 out of 43 villages off-grid. This study examines energy extraction in Mentawai Waters using a Wave Energy Converter (WEC) with a heaving device mechanism. It focuses on measuring heaving motion, and excitation force, and calculating power and energy production. The heaving WEC device type is selected for its suitability with the local environmental characteristics. The most important of which are wave heights reaching 2.3 m and periods reaching 8.3 s. A combination of experimental testing using the Towing Tank Laboratory and numerical methods with the Boundary Element Method (BEM) is used to optimize the results. The tests focus on six variations of floater diameters ranging from 23 to 33 cm, under wave heights of 0.04 to 0.08 m, with wave periods ranging from 0.6 s to 2.6 s. Both methods indicate that the 29 cm diameter (Floater Type 2) is the most optimal variation, withan average mechanical power output of 446 watts, which is 26.17% higher than Floater Type 1. At a 1:1 scale, an array of 10 Floater Type 2 WECs, with a maximum annual energy output of 35,226 kWh, confirms the point absorber as a suitable WEC type for Mentawai Waters, capable of illuminating key areas, including public facilities.
In response to China's imperative for sustainable livestock development and socioeconomic progress, the concurrent advancement of ecological and smart livestock farming is being promoted. The realization of a smart ecological … In response to China's imperative for sustainable livestock development and socioeconomic progress, the concurrent advancement of ecological and smart livestock farming is being promoted. The realization of a smart ecological livestock farming model necessitates the intelligent evolution of both equipment and management practices, alongside the application of computer technologies such as big data and cloud computing. However, current systems suffer from poor interoperability and compatibility, which impedes effective data integration and sharing. Furthermore, the existing technological solutions lack adaptability to regional variations, resulting in inadequate technical applicability and suboptimal implementation outcomes. This paper employs literature reviews and technology assessment methodologies to explore the developmental pathways and technological implementations of smart ecological livestock farming. A comprehensive smart ecological livestock farming system based on embedded technology, such as Raspberry Pi and STM32, is designed to facilitate the advancement of smart ecological livestock farming. The conclusion drawn is that smart ecological livestock farming represents an inevitable trajectory for the modernization of the livestock industry.
Hydrological analysis is an important component in water resources management, especially for planning and controlling water infrastructure. This study evaluates the effectiveness of the rain station network in the Upper … Hydrological analysis is an important component in water resources management, especially for planning and controlling water infrastructure. This study evaluates the effectiveness of the rain station network in the Upper Ciliwung Watershed and identifies rain station with maximum accuracy in representing the study area conditions. Rainfall and discharge data were tested using statistical tests to ensure the absence of trends, stationary, persistence, and outliers. The evaluation of the rain station network density was conducted based on WMO guidelines, which determined the Upper Ciliwung Watershed met the criteria with a density of 37.981 km² per rain station. Analysis of rain station network distribution patterns using Artificial Neural Networks (ANN) was conducted with three data divisions (70-20-10, 60-25-15, 50-30-20) and tested at 100, 500, and 1000 epochs. The best results were obtained at 70-20-10 composition with 1000 epochs, showing the smallest relative error of 9.880% and NSE value of 0.983. The most effective rain station combinations are Gadog, Cilember, and Gunung Mas. This research provides recommendations in rain station network optimization to improve the accuracy of hydrological data.
This study explores a decision-making methodology for optimizing the installation of urban surveillance CCTVs through an improved heuristic algorithm-based model verification approach, considering communication networks. The objective is to maximize … This study explores a decision-making methodology for optimizing the installation of urban surveillance CCTVs through an improved heuristic algorithm-based model verification approach, considering communication networks. The objective is to maximize crime prevention and response effectiveness while minimizing regional installation imbalance, which is incorporated as a penalty weighting factor. The problem is classified as NP-hard, and as the number of candidate sites increases, the number of possible configurations grows exponentially, making it extremely difficult to determine an exact solution. To address this challenge, the study proposes an improved heuristic approach based on a Greedy Algorithm. This algorithm efficiently selects the locations and configurations of urban surveillance CCTVs while considering budgetary constraints and communication network capacity, ultimately searching for the optimal installation plan. To validate the proposed algorithm's performance, the study generates a simulated dataset representing an urban environment and evaluates the approach under various scenarios. Experimental results demonstrate that the proposed algorithm provides superior solutions within a shorter computation time compared to random placement methods. Additionally, it effectively enhances crime prevention and response capabilities while minimizing regional installation imbalance. Notably, this research shifts from conventional complaint-driven random placement strategies to a more systematic, public-interest-oriented decision-making model through the application of an improved heuristic algorithm. This contribution underscores the scientific approach to solving the urban surveillance CCTV installation problem. Future research should extend this model to diverse urban environments to assess its practical effectiveness and refine the algorithm through post-deployment evaluations. Beyond the installation of urban surveillance CCTVs, the proposed methodology can be applied to decision-making problems related to the deployment of similar public infrastructure. Ultimately, this research is expected to contribute to the foundation of scientific decision-making for creating safer cities.
Gang Zhao , Haifeng Li , Zhenxing Li +1 more | 2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)
Every vehicle node in a vehicular ad hoc network (VANET) denotes a mobile node that serves as an information transmitter, receiver, and router. VANET belongs to the mobile ad hoc … Every vehicle node in a vehicular ad hoc network (VANET) denotes a mobile node that serves as an information transmitter, receiver, and router. VANET belongs to the mobile ad hoc network (MANET) subgroup and is associated with dynamic topology. Finding a viable solution for all VANET applications is the researchers' main task because dynamic network situations provide more complex problems than MANET topologies do. Cluster-based, geocast-based, topology-based, position-based, and broadcast-based routing protocols make up the six categories of routing protocols used in VANET. Unmanned military vehicles (UMVs) and autonomous robots are used in the modern warfare strategy to carry out risky military combat tasks. The military vehicles (MVs) exchange information with one another in order to complete the necessary military missions as a group. The suggested work uses a weight-based clustering technique to partition a rhombus-shaped area into numerous clusters for the purpose of communicating event data to the cars. Rhombus-shaped areas at intersections are particularly useful for clustering. Real-time average speed and degree are two weighted measures that were employed in the suggested method to select the cluster head (CH). The right CH can be selected in the network with the help of this effort. Instead of broadcasting the data, each car in a cluster sends it to the CH. The network performance for various protocols, such as Ad-hoc on-demand distance vector (AODV) and dynamic source routing (DSR), has been simulated using the SUMO and NETSIM simulators. This performance is shown in terms of packet delivery ratio, throughput, delay, overhead transmission, mean, and standard deviation. According to the proposed weight-based clustering algorithm, the assignments of the weights are based upon two parameters: vehicle speed and degree. The speed corresponds to the instantaneous speed of a vehicle, while the degree corresponds to the number of nearby vehicles that the sensors are unable to communicate with. The vehicle, which has the highest weight for the combined factors is made the cluster head (CH). The weight is adjusted dynamically in order to adapt to the changing speed and the number of active neighbours in real-time. The weight is attained using the following formula: WT(i)= w1 × deg(i) + w2 × μn; where deg(i) corresponds to degree (number of neighbouring vehicles), and μn, normalised speed. The weighting factors w1 = 0.4 and w2 = 0.6 are set so that the degree has lesser effect than speed in the consideration of selection of the cluster head.
Abstract: This system enhances driving safety by providing early detection of both drunk driving and accidents. Drunk driving is a major reason for road accidents around the world. Many people … Abstract: This system enhances driving safety by providing early detection of both drunk driving and accidents. Drunk driving is a major reason for road accidents around the world. Many people still drive after alcohol consumption endangers the lives of both the drinker and others. To solve this problem, the system alcohol detection sensors are used to assess driver sobriety. Detection of alcohol triggers a notification. A vehicle tracking system using GPS and GSM modules immediately informs the owner of the vehicle's location. A car's immobilizer system either prevents the vehicle from starting or safely brings it to a halt. Apart from alcohol detection, the system can also detect accidents. Leveraging sensors, GPS, GSM, and IoT technology, the system enables to find out if a crash has happened. Upon triggering, the device immediately sends a message with its location coordinates and status of the vehicle. This facilitates rapid assistance and life preservation. The main goal of the project is to promote safe driving and reduce accidents by using technology to monitor drivers and respond quickly to emergencies. Keywords –Alcohol sensor, Accident prevention, GSM module, GPS tracking.
As one of the key technologies for new energy vehicles, smart sensors provide data support for safe operation and performance optimization through real-time monitoring of vehicle status and environmental information. … As one of the key technologies for new energy vehicles, smart sensors provide data support for safe operation and performance optimization through real-time monitoring of vehicle status and environmental information. This paper systematically researches the application status and key technologies of smart sensors in new energy vehicles, covering the fields of environment sensing, battery management, automatic driving assistance and body control, etc., and focuses on the breakthrough direction of the core technologies such as multi-modal sensor fusion, energy self-supply, edge intelligent processing, high-precision sensing and anti-interference design. The study shows that intelligent sensor technology not only significantly improves the safety, range and intelligence level of new energy vehicles, but also provides important theoretical support and practical path for future technology iteration and industrial upgrading.
Presents an efficient and secure platooning strategy for Industry 4.0 environments involving Automated Guided Vehicles. The strategy proposed adopts Threat and Operability (THROP) and Hazard and Operability (Hazard and Operability) … Presents an efficient and secure platooning strategy for Industry 4.0 environments involving Automated Guided Vehicles. The strategy proposed adopts Threat and Operability (THROP) and Hazard and Operability (Hazard and Operability) to determine and eliminate hazards like system failures and cyberattacks. Adaptive risk management and real-time monitoring are guaranteed using digital twin-based simulations, with enhanced AGV coordination and collision risk reduced. The system also provides encryption and authentication to provide integrity to data. Simulation shows improved scalability, security, and efficiency, and potential use in smart cities and logistics. Large-scale deployment and AI-based predictive analytics are areas of interest for future study. This study helps advance industrial automation in Industry 4.0 through ensuring safe and reliable AGV operations.
<ns3:p>Background With the rapid advancement of information and communication technologies (ICT), our society has entered the era of widespread internet and mobile communications, promoting the emergence of precision push services … <ns3:p>Background With the rapid advancement of information and communication technologies (ICT), our society has entered the era of widespread internet and mobile communications, promoting the emergence of precision push services on mobile phones. Objective The purpose of this study is to investigate users' perception of mobile phone precision push services, and to evaluate their effectiveness and overall impact. Methods This study initially clarifies the working principle of precision push services, focusing on user information modeling and mathematical prediction methods to achieve personalized information delivery. Using a questionnaire survey targeting college students, this paper analyzes five factors hypothesized to influence user perceptions: the effectiveness of pushed information, interference with user experience, operability, user autonomy, and transparency of information. A total of 64 valid questionnaires were collected for statistical analysis, including demographic characteristics, reliability and validity tests, and difference and correlation analyses. Results The results indicate that users rated "user autonomy" highest, reflecting their strong preference for receiving tailored content such as industry news, trends, and event notifications. Significant gender differences were observed in terms of operability, while geographic location had minimal impact on user perceptions. Additionally, the effectiveness of precision push services showed a negative correlation with their perceived overall impact. Conclusion Consequently, this study recommends enhancing precision push services by prioritizing personalized user needs, particularly by delivering industry-specific information and timely event reminders to improve user engagement and satisfaction.</ns3:p>
Enabling Device-to-Device (D2D) communication in next-generation wireless networks faces significant challenges, particularly path-loss attenuation and interference, which degrade network performance. Existing studies suggest that interference management techniques such as resource … Enabling Device-to-Device (D2D) communication in next-generation wireless networks faces significant challenges, particularly path-loss attenuation and interference, which degrade network performance. Existing studies suggest that interference management techniques such as resource allocation, spectrum sharing, and power control can improve network efficiency. However, conventional power control schemes require further enhancements to optimize energy efficiency, throughput, and outage probability. This study proposes a modified Power Control Scheme for D2D communication (mPCS-D2D) that leverages a Hierarchical Cluster Algorithm (HCA) to minimize interference by organizing D2D User Equipments (DUEs) into hierarchical clusters. The scheme is evaluated in both general and millimeter-wave (mmWave) mode communications. Performance assessment through simulations demonstrates that mPCS-D2D achieves an average energy efficiency of 29.722 kbps/J with a 46.03% imporvement, a throughput of 135.994 kbps having a 4.77% improvement, and improving outage probability by 41.06%, surpassing the existing PCS-D2D schemes. These results indicate that mPCS-D2D is a viable solution for power control in D2D communications over uplink channels in 5G mmWave networks. improving network efficiency while maintaining fairness. The findings suggest potential applications in optimizing power allocation for future D2D communication scenarios.
Abstract The rapid development of the digital economy has led to a significant increase in the scale and electricity load of 5G base stations. 5G base stations, often equipped with … Abstract The rapid development of the digital economy has led to a significant increase in the scale and electricity load of 5G base stations. 5G base stations, often equipped with batteries, can also serve as a potential flexibility resource for demand response. It is therefore essential to study the 5G base station load characteristics to improve the energy saving and cost reduction of telecom operators and stable operation of the grid. In this paper, the load characteristics of 5G base stations are investigated based on data mining methods from multiple dimensions, including spatial distribution, multi-scale temporal distribution, and temperature sensitivity. Historical power data of 37,525 5G base stations with a resolution of 15 minutes are collected and their loads in typical summer and winter weeks are analysed based on K-means clustering method. Results demonstrate that the spacial distribution of 5G base stations highly correlates with the population density. In central urban areas, population and load density reach 8.5 person/km 2 and 61.6kW/km 2 respectively, which is 25 times higher than the suburban area. The 5G base stations work mostly at the low partial loads with a capacity utilization rate of 26%˜41%, which are higher in summer due to the air conditioners. The daily loads are similar in one week except that they are slightly lower on Sunday. In winter, peak loads mainly happen at 12:00˜13:00 and 17:30˜18:30, coinciding with noon and evening breaks. In summer, the application of air conditioners results in peak loads between 12:00 and 19:00. The loads of 5G base stations increase with outdoor air temperatures, with a Pearson correlation coefficient of 0.885. Almost 3/4 of the 5G base stations show slight load factor variation during the peak, flat, and valley periods. The daily load curves of 5G base stations are similar to that of the grid and would increase the supply stress of the grid. Batteries installed in the 5G base station can help shift loads and reduce bills based on time-of-use tariffs. This study can help utilities identify new flexible sources and improve 5G station planning and operations based on the mined knowledge.
Abstract The need for better security measures in controlling access to vital utilities bring about the high demand for smart home systems. In this project a smart switch and socket … Abstract The need for better security measures in controlling access to vital utilities bring about the high demand for smart home systems. In this project a smart switch and socket system was developed using the ESP8266 microcontroller and the Blynk application as wireless control. The main goal is to design and implement a cost-effective system that ensures dependable remote control and monitoring of electrical devices. The project provides a functional prototype capable of managing device states and enabling power cut-off for safety especially in school environments, to enhance child safety by adding the ESP8266 with relay modules. The Blynk app was used which facilitates effective monitoring and control of various electrical loads. Effective monitoring and control of various loads was facilitated by the Blynk app. The results showed that the microcontroller’s response time in putting on relay 1 and putting off relay 2 respectively were 1.2 and 1.1 seconds. In case when the load exceeds the safe limit, it ensures power cut off enhancing the safety and reliability.
As cashless transactions continue to gain popularity, digital payment solutions have become essential in various sectors, including public transportation. This study focuses on the development and implementation of a tricycle … As cashless transactions continue to gain popularity, digital payment solutions have become essential in various sectors, including public transportation. This study focuses on the development and implementation of a tricycle cashless payment system utilizing NodeMCU and Radio-Frequency Identification (RFID) technology. The system allows passengers to conveniently pay their fares by swiping an RFID card, eliminating the need for cash. It consists of an RFID reader, a NodeMCU microcontroller, a GSM module for data transmission, and a web server for real-time monitoring of fare transactions. The tricycle’s battery serves as the primary power source, ensuring continuous operation. This innovation enhances efficiency in fare collection, reduces the risk of theft, and minimizes germ transmission through cash handling. Additionally, it promotes fair and accurate transactions for both passengers and drivers. The study encompasses hardware design, system development, and an evaluation of its effectiveness in real-world applications. Results indicate that the contactless payment system is both feasible and reliable, providing a modern alternative to traditional fare collection. Future improvements include replacing the GSM module with an Ethernet shield for more stable internet connectivity, enhancing the system’s interface, and incorporating additional features such as travel history tracking for better user experience.
The project aims to develop an intelligent system that can detect unusual activities and crimes using CCTV cameras across the state. Since it is difficult to monitor multiple cameras simultaneously, … The project aims to develop an intelligent system that can detect unusual activities and crimes using CCTV cameras across the state. Since it is difficult to monitor multiple cameras simultaneously, we use state-of-the-art computer and machine learning to analyze live video. When a suspicious or dangerous situation occurs, the system quickly alerts authorities to the address and sends images of the incident. It also activates nearby alarms to locate concerned citizens and help them intervene. There is also a portal that helps classify video clips as normal or abnormal. The system will help speed up emergency response and encourage community participation to ensure safety. Overall, this is a great way to prevent crime and increase everyone’s safety.
For non-English major college students, the listening section of the College English Test Band 4 (CET-4) is both a critical and challenging component of exam preparation. Many students struggle with … For non-English major college students, the listening section of the College English Test Band 4 (CET-4) is both a critical and challenging component of exam preparation. Many students struggle with various difficulties during their listening practice. To address these challenges, open intelligent laboratories equipped with digital technology provide effective solutions. These laboratories offer a diverse range of listening resources, exposing students to various accents and topics, which helps them adapt to different listening styles and improve comprehension. Additionally, they provide simulated tests and interactive exercises that replicate exam conditions, allowing students to practice time management and develop effective test-taking strategies. Furthermore, artificial intelligence algorithms integrated into these labs analyze students’ strengths and weaknesses, offering personalized feedback and targeted recommendations for improvement. By leveraging smart technology in education, intelligent laboratories can significantly enhance students’ listening skills and CET-4 performance, facilitating more effective learning and advancing educational practices. This paper examines the primary challenges students face in CET-4 listening preparation and explores how digital tools in open intelligent laboratories can be utilized to develop effective preparation strategies.