Location Detection System Research Articles

Development of a gunshot location detection system based on acoustic data

Determination of sound source location is a crucial problem, especially for the assault threat detection in crowded areas or military applications. The chief objective of this study is to design a microphone array to detect the location of explosion type sound sources, such as gunshot, which have significant amplitudes when compared to the background noise levels. Furthermore, the time arrival difference algorithm is utilized for the determination of time arrival differences and sound source location. Evidently, for stationary microphones that are positioned close to each other, determination of time arrival differences with high accuracy is a significant problem. Thus, a significant effort is given to enhance the accuracy of time arrival difference predictions via proper sampling. The design process of the microphone array is conducted computationally, where the sound data received by the microphones are generated. The time arrival differences are then calculated numerically, which are used for the prediction of sound source location. The number of microphones, relative positions of the microphones are determined accordingly via digital experiments. Finally, the designed microphone array is built and experiments are conducted. In conclusion, it is observed that the numerical model successfully predicts the sound source location of the computational model.

An infrastructure‐less emergency location detection system using basic cellular device‐to‐device connection

AbstractOne of the most time‐sensitive and critical tasks for first responders in the aftermath of a disaster is to locate people for effective and successful rescue operations. The existing solutions for large‐scale location detection of citizens depend on expensive equipment that may not be readily available in many urban areas and also cannot cover a vast area quickly. To address this challenge, the present study proposes a novel location estimation method by creating a Mobile Ad Hoc Network (MANET) using citizens' mobile phones. The proposed solution can accurately estimate the location of mobile devices in a MANET based on their Received Signal Strength (RSS) and communicate the estimated location coordinates to first responders without any dependencies on telecommunication infrastructures. This system will help first responders locate and map mobile devices in the affected area in a matter of seconds to improve the efficiency and effectiveness of postdisaster rescue operations. The envisioned solution offers unique capabilities that differentiate it from previously existing methods. The proposed method directly estimates device locations using their basic cellular signal strength without any dependency on GPS and relies only on basic cellphone signals. Therefore, nonsmartphones can also join and function in the envisioned MANET system. It also does not impose any computational operations or requirements for installing an app on citizens' phones. The performance of the proposed system was empirically evaluated using a simulation analysis. The results indicated that the method could efficiently and accurately discover more than 93% of mobile devices and estimate their locations.

QR Code based Location Detection and Smart Tracking System for Transportation Service

QR Code based Location Detection and Smart Tracking System for Transportation Service

MANET Based Emergency Communication System Design During Disaster and Post Disaster

In the event of a natural disaster most of the communication networks become unavailable either because of damages sustained to the infrastructure such as antennas and other communication devices or because of power failure. During these times, communication plays a vital role in keeping the people informed about post disaster effects in the affected areas. There are two aspects in this circumstance. One is to immediately locate the affected persons and provide emergency assistance. The other is to offer calamity release during and after the disaster. The conventional method of establishing communication is usually done by establishing emergency command center and hosting the entire essential telecommunication infrastructure to provide communication between members of the search and recovery teams. This type of solution is expensive, tough to maintain, and the level of reliability is low. Because of these reasons the efficiency of the system is less. For improving the effectiveness of the communication during the times of natural calamity is to implement a communication system that does not rely on infrastructure based equipments. The proposed system makes use of Mobile Ad-Hoc Network (MANET) based communication. The proposed system also incorporates Global Positioning System (GPS), a satellite based location detection system that could be used to pinpoint a particular person who is in distress. Geographic Information System (GIS) and Remote Sensing (RS) are essential for effective preparedness, communication, and training tool for calamity management.

IMPROVEMENT IN ROUTING PROTOCOL FOR WSN

A wireless network of sensing element (WSN) can be a group of nodes in a systematic way within a network. WSN nodes enlarging low power devices consisting of 1 or more sensors, processor, memory or storage, radio and trans-receiver connected inside an antenna that can be internal or external. Sensors can be mechanical, thermal, chemical, optical, magnetic and other distant. Symptoms created by the senses are naturally analogous. Analog to digital device (ADC) has been used to convert sensory-induced sensors into digital form and integrated into the process unit. Sensors and ADCs are known to be the result of a Sensing unit. A processing unit usually associated with a small end unit is used to manage a process that enables the sensors nodes to interact with other nodes to perform a designated monitoring function. The trans-receiver unit connects the node to the network. A compatible antenna that can be an internal or external emu is that the most important part of the sensor element node uses the power function in every sensory component. It is therefore customary for the sensor node to select a location detection system, however it depends on the system. The extended STR is expected to represent Zig Bee's new network protocol for improved performance Packet Delivery ratio (PDR) and delays compared to STR and AODV. we have a tendency to introduce here the economic process of Advanced Shortcut Tree Routing technique (ASTR).

LORE: a model for the detection of fine-grained locative references in tweets

Extracting geospatially rich knowledge from tweets is of utmost importance for location-based systems in emergency services to raise situational awareness about a given crisis-related incident, such as earthquakes, floods, car accidents, terrorist attacks, shooting attacks, etc. The problem is that the majority of tweets are not geotagged, so we need to resort to the messages in the search of geospatial evidence. In this context, we present LORE, a location-detection system for tweets that leverages the geographic database GeoNames together with linguistic knowledge through NLP techniques. One of the main contributions of this model is to capture fine-grained complex locative references, ranging from geopolitical entities and natural geographic references to points of interest and traffic ways. LORE outperforms state-of-the-art open-source location-extraction systems (i.e. Stanford NER, spaCy, NLTK and OpenNLP), achieving an unprecedented trade-off between precision and recall. Therefore, our model provides not only a quantitative advantage over other well-known systems in terms of performance but also a qualitative advantage in terms of the diversity and semantic granularity of the locative references extracted from the tweets.

Analysis and optimization of the performance parameters of non cooperative target location detection system

This study applies an improved particle swarm optimization (IEPSO) algorithm to optimize the structural design parameters of a binocular detection system. First, the mathematical model of the performance analysis of the binocular detection system is established, and the influencing factors of index parameters are analyzed. Second, the IEPSO algorithm is proposed to overcome the shortcomings of common PSO. Finally, taking a model of the binocular system as an example, the effective field of view and resolution are used as constraints, and the IEPSO algorithm is used to optimize the binocular system’s parameters. Optimization result can enable the detection error of the system to reach 0.01 mm.

Implementation and detection of the device location via synthesized antenna array

Currently, proximity service (ProSe), also known as device-to-device (D2D) communication, has been standardized by 3rd generation partnership project (3GPP) to provide the function of exchanging data directly among the user equipments (UE). It has the advantage of improving the signal quality for the cell-edge UE and can be applied to many applications such as the determination of device location for the purpose of public safety.In this paper, we implemented a device location detection system via using the synthesized antenna array. The multiple signal classification (MUSIC) algorithm and the channel delay profile are adopted to complete the detection of the device location. With the self-designed graphic user interface (GUI), the location of the device can be easily determined and displayed on the electronic map, such as the google map, and in the vision of the camera. Besides, according to the measurement results, the proposed method has better location determination performance than the conventional global positioning system (GPS) of the mobile phone, especially in the non line-of-sight (NLOS) scenarios, such as in the indoor environments.

Inexpensive Home Infrared Living/Environment Sensor with Regional Thermal Information for Infant Physical and Psychological Development

The use of home-based image sensors for biological and environmental monitoring provides novel insight into health and development but it is difficult to evaluate people during their normal activities in their home. Therefore, we developed a low-cost infrared (IR) technology-based motion, location, temperature and thermal environment detection system that can be used non-invasively for long-term studies in the home environment. We tested this technology along with the associated analysis algorithm to visualize the effects of parental care and thermal environment on developmental state change in a non-human primate model, the common marmoset (Callithrix jacchus). To validate this system, we first compared it to a manual analysis technique and we then assessed the development of circadian rhythms in common marmosets from postnatal day 15–45. The semi-automatically tracked biological indices of locomotion velocity (BV) and body surface temperature (BT) and the potential psychological index of place preference toward the door (BD), showed age-dependent shifts in circadian phase patterns. Although environmental variables appeared to affect circadian rhythm development, principal component analysis and signal superimposing imaging methods revealed a novel phasic pattern of BD-BT correlation day/night switching in animals older than postnatal day 38 (approximately equivalent to one year of age in humans). The origin of this switch was related to earlier development of body temperature (BT) rhythms and alteration of psychological behavior rhythms (BD) around earlier feeding times. We propose that this cost-effective, inclusive sensing and analytic technique has value for understanding developmental care conditions for which continual home non-invasive monitoring would be beneficial and further suggest the potential to adapt this technique for use in humans.

Partial discharge localisation in transformers using UHF technique: non-iterative method

The mathematical model of the Partial Discharge (PD) location detection system in transformers, using the Ultra High Frequency (UHF) technique, is a system of non-linear sphere equations. These non-linear equations are solved to determine the PD source co-ordinates. In this paper, a non-iterative method is studied to determine the PD location. For the study, a simulation-based system is modelled in an EM-solver. The UHF technique-based detection of the PD source location needs a minimum of four sensors. The non-iterative algorithm’s significant drawback is that it provides two solutions. However, in the present study, five sensors are positioned at specified coordinates to attain the real PD position (from the two obtained solutions) with higher accuracy.

실시간 야구 중계를 위한 CNN 기반 고속 야구 선수 위치 검출 시스템

실시간 야구 중계를 위한 CNN 기반 고속 야구 선수 위치 검출 시스템

Ship Position tracking Scheme Based on Distributed Multi-sensor Data Fusion

The aim is to determine the actual position of the ship which moves dynamically in the sea to avoid the stumbling block or hindrance which causes the ships damage. The location detection system is used to give the location information with accurate. Based on the multi-sensor data fusion techniques the location of the ship can be identified efficiently. Joining the Kalman filter technique, the synchronize transformation technique; the time configuration method and the track correlation is performed by optimal fusion method. Usage of multiple sensor data technique outperforms the methods based on a single ultrasonic sensor.

IoT 장치를 장착한 Wi-Fi RSSI기반 실내 위치 검출 시스템

비용 효율성과 정확성 때문에 Wi-Fi 수신 신호 세기 지시자(Received Signal Strength Indication, RSSI) 기반 핑거프린트 기법을 사용하는 실내 위치검출 기술은 최근 널리 보급되었다. 본 논문에서는 Internet of Things(IoT) 장치를 이용하여 Wi-Fi Access Point(AP)의 RSSI 신호의 크기를 측정하여 이를 위치 검출에 이용하는 핑거 프린팅 시스템에 대해 소개한다.

Environmentally Corrected RSSI Based Real Time Location Detection System

Environmentally Corrected RSSI Based Real Time Location Detection System

매설배관 내의 압축성 유체 누설 위치 검출에 관한 연구

지하 매설배관을 이용한 유체 수송 중 임의의 배관 위치에서 누설이 발생할 경우 육안 식별의 어려움으로 진동 센서 등을 이용하여 누설 위치를 탐지한다. 이러한 누설 위치 검출 시스템은 물과 같은 비 압축성 유체를 대상으로 센서 간의 신호 도달 시간차와 음파의 전파속도를 이용하여 검출하고 있다. 본 논문에서는 가스와 같은 압축성 유체의 누설 검출을 위한 시스템을 개발하고자 기존 검출 방법을 검토하고, 온도와 압력을 고려한 압축성 유체의 전파속도 식을 개선하고 압축 공기를 이용한 실험 장치를 구축하여 실험 수행을 통해 검증하였다. 검증 결과 매설배관 내 압축성 유체의 누설 위치 검출이 가능함을 확인하였으며, 가스 수송용 매설배관 내 누설 위치 검출 시스템 개발에 적용 가능함을 확인하였다. When a leak occurs in the buried pipelines, The leak locations are able to detected by using the vibration sensors. These leak detection system, intended for incompressible fluid, such as water, are of using the wave propagation velocity and a signal arrival time delay between the sensors. In this paper, to develop a leak location detection system for a compressible fluid such as gas, the conventional detection methods have been studied, improved, and verified through the experiment using the compressed air. It confirmed that it is possible to detect the leak location for compressible fluid in the buried pipelines and to be applicable to the development of a leak location detection system in buried pipelines for gas.

열차위치검지 시스템을 위한 관성센서 데이터 분석 연구

철도 시설물의 상태를 종합적으로 동시에 검측하고 건전성 평가가 가능한 고속 종합검측시스템을 위해 열차의 위치검지 정보는 필수불가결하다. 본 논문에서는 위치검지를 위한 위치 기술중 관성센서의 측정과 분석에 대해 다룬다. 관성센서의 가속도 정보와 각속도 정보에 대해 진폭과 주파수 관점에서 분석하였고, 진동 및 열차 동역학에 대한 검토도 이루어졌다. 이러한 검토 결과와 GPS 정보를 이용하여 호남선 나주역부터 일로역까지 한국형 틸팅열차의 위치검지를 수행하였다. 이와 같은 센서 측정치와 열차의 거동에 대한 동기화된 분석은 열차위치검지 시스템의 설계와 성능 향상에 도움을 줄 수 있다. Train positioning detection information is fundamental for high-speed railroad inspection, making it possible to simultaneously determine the status and evaluate the integrity of railroad equipment. This paper presents the results of measurements and an analysis of an inertial measurement unit (IMU) used as a positioning detection sensors. Acceleration and angular rate measurements from the IMU were analyzed in the amplitude and frequency domains, with a discussion on vibration and train motions. Using these results and GPS information, the positioning detection of a Korean tilting train express was performed from Naju station to Illo station on the Honam-line. The results of a synchronized analysis of sensor measurements and train motion can help in the design of a train location detection system and improve the positioning detection performance.

Detection of Impact Location by Using Anisotropy of Output Voltage of Metal-Core Piezoelectric Fiber/Aluminum Composites

This paper describes the detection of an impact location by using anisotropy of the output voltage of a metal-core piezoelectric ceramic fiber/aluminum composite. Metal-core piezoelectric ceramic fibers are very fragile. The mechanical properties of metal-core piezoelectric ceramic fibers can be improved by embedding the fibers into the metals that have excellent reliability and strength. Therefore, metal-core piezoelectric ceramic fiber/aluminum composites were developed by using the Interphase Forming/Bonding method. Furthermore, the output voltage characteristics of fabricated a composite were evaluated, and the anisotropy of the output voltage was observed. In this study, the impact location detection system was developed by using the anisotropy of the output voltage of the composite. It is expected to reduce the number of sensors compared with conventional systems while maintaining the accuracy. As a result, the impact location detection was successfully developed by using the model of the output voltage of the composites that were disposed in two different positions to obtain the signals.

Location Detection and Time Monitoring System for Moving Object

Location tracking and updating are the fundamental issues in the moving objects. Object’s moving efficiency and location detection accuracy are taken into account in the project. The client sends the queries to the server based on the proper result. The server sends the reply to the client maintaining its accuracy as well as efficiency. Main strategies are to update the client request with the exact result. The advantage of this is the flexibility and ability to optimize the efficiency and also updating location of the moving object. We developed a system of high efficiency and accuracy to detect the exact location and also location updating technique for moving object.

J0450303 金属コア圧電ファイバ/アルミニウム複合材料の出力電圧異方性を利用した衝撃検知の検討([J045-03]知的材料・構造システム(3),機械材料・材料加工部門)

This paper describes development of an impact detection system by using the anisotropy of output voltage of metal-core piezoelectric fiber/aluminum composite. A metal-core piezoelectric ceramic fiber is very fragile and reactive with molten aluminum. Therefore general fabrication processes such as dimision bonding and casting are hard to be applied. However, embedding the metal-core piezoelectric fiber into an aluminum matrix was succeeded by using IF/B method. Furthermore, output voltage characteristics of fabricated composite were evaluated, and anisotropy of the output voltage was observed. In this study, impact location and energy detection system was developed by using anisotropy of output voltage of the composite. It is expected to reduce the number of sensors compared to conventional systems and keep accuracy by using this anisotropy. As the results, the impact energy and impact location detection was successfully by using the model of the output voltage of the composites and signals that were obtained from composites disposed in two different positions. In addition, the error of impact location was 8.88 mm at the maximum, and this result is caused by the anisotropy of output voltage of metal-core piezoelectric fiber/aluminum composite.

Virtual 2D Positioning System by Using Wireless Sensors in Indoor Environment

A 2D location detection system is constructed by using Wireless Sensor Nodes (WSN) to create aVirtual Fingerprint map, specifically designed for use in an indoor environment. WSN technologies and programmable ZigBee wireless network protocols are employed. This system is based on radio-location fingerprinting technique. Both Linear taper functions and exponential taper functions are utilized with the received signal strength distributions between the fingerprint nodes to generate virtual fingerprint maps. Thus, areal and virtual combined fingerprint map is generated across the test area. K-nearest neighborhood algorithm has been implemented on virtual fingerprint maps, in conjunction with weight functions used to find the coordinates of the unknown objects. The system Localization accuracies of less than a grid space areproved in calculations.