Location-based Monitoring Research Articles

Analysis of wildlife threat findings based on the SMART patrol application at Pemerihan Resort, Bukit Barisan Selatan National Park

Monitoring, managing, and maintaining conservation areas are challenges faced by various parties. The Spatial Monitoring and Reporting Tool (SMART) is an application used to measure, collect, evaluate, and improve the effectiveness of location-based monitoring and conservation activities and has been implemented at the Pemerihan Resort, Bukit Barisan Selatan National Park (TNBBS). Based on the SMART application, the research aims to analyze the findings of threats and wildlife on active patrol routes. The methods used are documentary studies and field observations. The data obtained from the documentary study is in the form of data from forest patrols for two years (2020-2022), then processed, classified, and analyzed into data on threat findings and wild animal encounter data directly or through signs of presence, which is then verified through field observations. The research results show that the data found from the SMART application during four patrol periods from 2020-2022 consisted of 143 threat findings and 841 wild animal encounters. The highest threat finding was animal hunting, with 56 findings (39%), and the lowest was logging, with three findings (2%). Twenty-three wild animal encounters were found directly or through signs of presence such as tracks, feces, scratches, and food remain. The highest wildlife encounter was the sambar deer (Rusa unicolor). The high threat findings indicate much human activity in the Pemerihan Resort Area, TNBBS, which can disturb wildlife and its habitats.

Location-based monitoring in production environments: does transparency help to increase the acceptance of monitoring?

ABSTRACT In the context of smart manufacturing, the technical development of monitoring systems has made it possible to track employees with the same systems that are used to track assets. This study contributes to our understanding of the acceptance of location-based monitoring of employees and investigates how the perceived privacy risk regarding monitoring can be tackled by examining the role of transparency and the perceived value of monitoring. We designed an experimental setting in which students assembled a 3D printer and manipulated transparency with two conditions: a detailed explanation of monitoring during the task vs. monitoring without any explanation. The results show that the higher the privacy concerns and perceived risks were, the lower was the acceptance for monitoring. However, the negative effect of perceived risk diminishes when both, transparency and the value of monitoring are high, but becomes even stronger when only transparency is high and perceived value is low.

Smartphone-based, momentary intervention for alcohol cravings amongst individuals with an alcohol use disorder.

Smartphone-based alcohol interventions represent an innovative strategy for providing in-the-moment intervention to individuals with an alcohol use disorder. While early research into their overall effectiveness is promising, little is known about the efficacy of specific intervention tools in reducing drinking subsequent to a cued craving. This study examined the influence of smartphone-delivered in-the-moment coping strategies on drinking after experiencing a craving among participants utilizing the Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A). The LBMI-A was utilized by 28 adults (18 to 45 years old) who met criteria for an alcohol use disorder and were interested in changing their drinking. Participants utilized the system for 6 weeks and responded to a daily interview of craving, type of LBMI-A coping strategy utilized in response, and whether or not they subsequently drank. Mixed model analyses of 744 total observations revealed that craving cue type, craving strength, and coping strategies were significantly related to drinking in response to a craving. Results suggested that coping strategies delivered by the LBMI-A (i.e., listening to an urge surfing audio file, viewing reasons for changing drinking) were superior to using a non-LBMI-A strategy. Simple contrast analyses indicated that cues related to being around alcohol and time of day were the most potent elicitors of subsequent drinking. Results suggest smartphone-delivered coping strategies for alcohol cravings are effective in reducing craving cued drinking and that craving cues related to drinking environments and drinking times of day represent fruitful areas of intervention focus. (PsycINFO Database Record

A flexible large-area triboelectric generator by low-cost roll-to-roll process for location-based monitoring

This paper discusses a flexible large-area power floor developed based on the effect of triboelectrification and electrostatic induction. Facilitated by a simple roll-to-roll fabrication method, this device can be fabricated at a very low cost of $2/m2 with large-area micro patterns. As a normal adult walks across the floor, it can produce more than 480V peak voltage and over 75μA peak current. The obtained peak instantaneous power was about 4.6mW. It also showed favorable charging ability, as demonstrated by charging a 1μF capacitor to 1.6V in one step, corresponding to a surface charge density of 53.3μC/m2. The spacer distance was systematically investigated and optimized by finite element simulation method. Therefore, this device can produce a pressure sensitivity of 7.1V/KPa in the pressure range from 2.5KPa to 30 KPa experimentally, which is about 4.67 times higher than similar devices using the same mechanism. A novel triboelectric generator (TEG) array was proposed based on this large-area TEG (LTEG) for position monitoring. Integrated with the function of power generation and position monitoring, the proposed device is directly applicable to LED-based alarm signals. Generated electricity can be stored in capacitor for use by low-power electronics. Employing a simple signal-processing circuit, the generated signal can also be used to control certain house-hold appliances. In effect, the proposed LTEG has considerable potential for application in harvesting walking energy as well as monitoring human motions.

Examining perceptions of a smartphone-based intervention system for alcohol use disorders.

This study presents results from qualitative interviews conducted with participants in a study on the effectiveness of the Location-Based Monitoring and Intervention System for Alcohol Use Disorders (LBMI-A), a smartphone-based, stand-alone intervention application (app) for adults with alcohol use disorders. Participants were provided an LBMI-A-enabled smartphone to use during a 6-week pilot study. The LBMI-A was composed of psychoeducational modules, assessment and feedback of alcohol use patterns, geographic high-risk location monitoring and alerts, and in vivo assessment and intervention for alcohol cravings and help with managing psychological distress. Semistructured interviews were conducted with all participants following 6 weeks of interacting with the LBMI-A app (n=26). Interviews explored user perceptions of the ease and utility of LBMI-A features, module helpfulness, barriers to use, and recommendations for improvements to the program. Researchers applied a systematic qualitative coding process to transcripts that included both a priori themes identified as important by the research team and new themes that emerged during the coding process. Narrative analysis found the emergence of five main themes identified by LBMI-A users as the most helpful functions of the phone: (1) Awareness, (2) Accountability, (3) Skill Transference, (4) Tracking Progress, and (5) Prompts. These themes are explored, and implications of these findings for future smartphone-based interventions are discussed.

Detecting gunshots using wearable accelerometers.

Gun violence continues to be a staggering and seemingly intractable issue in many communities. The prevalence of gun violence among the sub-population of individuals under court-ordered community supervision provides an opportunity for intervention using remote monitoring technology. Existing monitoring systems rely heavily on location-based monitoring methods, which have incomplete geographic coverage and do not provide information on illegal firearm use. This paper presents the first results demonstrating the feasibility of using wearable inertial sensors to recognize wrist movements and other signals corresponding to firearm usage. Data were collected from accelerometers worn on the wrists of subjects shooting a number of different firearms, conducting routine daily activities, and participating in activities and tasks that could be potentially confused with firearm discharges. A training sample was used to construct a combined detector and classifier for individual gunshots, which achieved a classification accuracy of 99.4 percent when tested against a hold-out sample of observations. These results suggest the feasibility of using inexpensive wearable sensors to detect firearm discharges.

Results of a Pilot Test of a Self-Administered Smartphone-Based Treatment System for Alcohol Use Disorders: Usability and Early Outcomes

ABSTRACT. Background: This paper provides results from a pilot study focused on assessing early-stage effectiveness and usability of a smartphone-based intervention system that provides a stand-alone, self-administered intervention option, the Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A). The LBMI-A provided numerous features for intervening with ongoing drinking, craving, connection with supportive others, managing life problems, high-risk location alerting, and activity scheduling. Methods: Twenty-eight participants, ranging in age from 22 to 45, who met criteria for an alcohol use disorder used an LBMI-A–enabled smartphone for 6 weeks. Results: Participants indicated the LBMI-A intervention modules were helpful in highlighting alcohol use patterns. Tools related to managing alcohol craving, monitoring consumption, and identifying triggers to drink were rated by participants as particularly helpful. Participants also demonstrated significant reductions in hazardous alcohol use while using the system (56% of days spent hazardously drinking at baseline vs. 25% while using the LBMI-A) and drinks per day diminished by 52%. Conclusions: Implications for system improvement as well as suggestions for designing ecological momentary assessment and intervention systems for substance use disorders are discussed.

무선 모바일 네트워크상에서 LBS 이동성 테스트를 위한 Auto_Test 관리 시스템

LBS는 이동 중인 사용자의 위치정보를 이용하여 사용자에게 필요로 하는 부가 서비스를 제공하는 서비스 기법이다. 본 논문에서는 무선 모바일 네트워크상에서 모바일 클라이언트의 이동성 성능 테스트를 위한 Auto_Test 시스템을 제안한다. 현재 이동성 관리 기법의 중요성에도 불구하고 LBS이동성 관리에 대한 연구는 시작 단계에 있으며 본 논문에서는 이러한 문제를 해결하기 위하여 LBS 상에서의 서비스 이동성을 Auto-Test하기 위한 모듈형 관리 시스템을 개발하였다. 제안된 개발모듈은 거리 기반 모니터링, 위치 기반 모니터링, 시나리오관리, 이동성관리, 그리고 통계관리 모듈로 구성되며, 각 모듈을 통해서 이동성이 제어되도록 하였다. 시뮬레이션 결과 제안된 시스템이 기존 시스템들에 비해서 성능이 보다 더 효율적임을 알 수 있었다. LBS is service technique to provide several service which are required to user by user's location information for mobile. This paper presents Auto_Test system of testing the mobility performance of mobile clients in wireless mobile networks. In spite of importance of mobility management, currently the study of mobility management is not enough, therefore we have developed modulated Auto_Test management system for resolve the mobility management. The proposed system is composed of distance-based monitoring, location-based monitoring, scenario management, mobility management and statistic management, it makes the control by individual module. Simulation results show that the proposed system outperforms the existing systems.