• Journal of Distribution Science
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• v.20 no.10
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• pp.11-17
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• 2022

Purpose: This research aims to find the link between public service Distribution and individual job performance in the provincial municipality. Research design, data, and methodology: This is a quantitative approach study with a non-experimental and correlational design. The sample consisted of 140 employees appointed and hired by the provincial municipality of Huaraz. For data collection, Two questionnaires with an ordinal Likert-type scale and the Rho Spearman correlation coefficient were used to assess the link between the research variables., For Analysis: two questionnaires with an ordinal Likert-type scale and the Rho Spearman correlation coefficient were used to determine the connection between the research variables. Results: It was determined that both variables have a high degree of correlation (0.725), indicating a direct and significant relationship between the Distribution of public service and skill performance in the provincial municipality (0.614). Conclusion: Finally, this allows us to conclude that the institutional context is essential; that is, there is a significant correlation between the PSM and contextual performance in the provincial municipality of Huaraz, which has a Rho Spearman value of 0.723.

• Journal of Distribution Science
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• v.21 no.10
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• pp.11-19
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• 2023

Purpose: Personality qualities are essential to the prosperity of any contemporary company because they foster the growth of pleasant emotions in telecommunications distribution employees. Research design, data and methodology: Thus improving their overall psychological well-being and productivity. Talent retention is facilitated by mutual respect between management and staff. The success of the company as a whole, including the development and maintenance of emotions with customers, also depends on the psychological well-being of employees. The aim is to demonstrate how a positive and satisfied emotional workforce contributes to psychological well-being in the 21st century. Result: The research aims to better understand the personality traits that influence the psychological well-being of employees. In addition, between January and March 2023, a total of 179 employees in the telecommunications distribution industry in the Peruvian city of Chiclayo were surveyed using structural modelling methods to measure employee satisfaction. It also shows how various ideas, approaches and models can be used in the real world. Conclusion: The significance of the model on the perception of telecommunications workers in Peru is demonstrated by the results, which indicate an R² value of 0.681 for positive emotions and an R² value of 0.792 for employees' psychological well-being.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.4
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• pp.195-201
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• 2024

In this paper, we propose an improved technique called HAB (Huffman encoding Aware Bitpacking) that enhances the Sprintz method, which is a representative time series data compression technique. The proposed technique boosts compression rates by incorporating Huffman encoding-aware bitpacking in the secondary compression stage. Additionally, it can be applied to terminal nodes or edge nodes with limited available resources, as it does not require separate parameters or storage space for compression. The proposed technique is a lossless method and is suitable for fields that require the generation of artificial intelligence models and accurate data analysis. In the experimental evaluation, the proposed HAB showed an average improvement of 14.7% compared to the existing technique in terms of compression rate.

• Journal of the Korean Society of Safety
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• v.30 no.3
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• pp.93-99
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• 2015

Economic burden of work-related musculoskeletal disorder(WMDs) is increasing. Known causes of WMDs include improper posture, repetition, load, and temperature of workplace. Among them, improper postures play an important role. A smart sensor called SensorTag is employed to estimate the trunk postures including flexion-extension, lateral bend, and the trunk rotational speeds. Measuring gravitational acceleration vector in the smart sensor along the tri-orthogonal axes offers an orientation of the object with the smart sensor attached to. The smart sensor is light in weight and has small form factor, making it an ideal wearable sensor for body posture measurement. Measured data from the smart senor is wirelessly transferred for analysis to a smartphone which has enough computing power, data storage and internet-connectivity, removing need for additional hardware for data post-processing. Based on the estimated body postures, WMDs risks can be conviently gauged by using existing WMDs risk assesment methods such as OWAS, RULA, REBA, etc.

• Convergence Security Journal
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• v.8 no.2
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• pp.27-34
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• 2008

In this paper, we designed and implemented mobile object automatic system based on senor networks for telematics. For developing this system, we gather the various sensing data through wireless communication method using zigbee sensor networks and analyze them in monitoring equipment. And we enable the driver to recognize the car state information on the whole by interfacing analyzed data to telematics unit. And, we implemented automatic controller that can control temperature and humidity in car automatically by actuating air conditioner based on the data that was monitored throughout temperature sensor, humidity sensor and brightness sensor based on sensor networks.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.2
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• pp.53-69
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• 2010

This paper proposes an ant-based routing algorithm, Ant System-Routing in wireless Senor Networks(AS-RSN), for wireless sensor networks. Using a transition rule in Ant System, sensors can spread data traffic over the whole network to achieve energy balance, and consequently, maximize the lifetime of sensor networks. The transition rule advances one of the original Ant System by re-defining link cost which is a metric devised to consider energy-sufficiency as well as energy-efficiency. This metric gives rise to the design of the AS-RSN algorithm devised to balance the data traffic of sensor networks in a decentralized manner and consequently prolong the lifetime of the networks. Therefore, AS-RSN is scalable in the number of sensors and also robust to the variations in the dynamics of event generation. We demonstrate the effectiveness of the proposed algorithm by comparing three existing routing algorithms: Direct Communication Approach, Minimum Transmission Energy, and Self-Organized Routing and find that energy balance should be considered to extend lifetime of sensor network and increase robustness of sensor network for diverse event generation patterns.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.405_406
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• 2009

송전철탑과 송전선로에 사고가 발생하면 광범위한 지역에 전력공급이 차단되어 막대한 경제적인 손실과 사회적 비용이 발생한다. 도시가 거대해지고 또 밀집되면서 파급영향은 더욱 커질 수밖에 없다. 이러한 이유로 송전설비에 대한 실시간 온라인 감시를 하고자 하는 요구는 점차 증가하고 있으나 송전철탑과 송전선로가 설치되어 있는 열악한 환경 때문에 감시 시스템의 구축은 여러 가지 제약 사항들을 가지고 있다. 본 논문은 송전철탑과 송전선로의 열악한 환경에서 다양한 고성능 상용센서들을 이용한 저전력 센서네트워크의 구현방안에 대한 연구를 소개하고자 한다.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.589-602
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• 2012

With the increasing demand for real time applications in the Wireless Senor Network (WSN), real time critical events anticipate an efficient quality-of-service (QoS) based routing for data delivery from the network infrastructure. Designing such QoS based routing protocol to meet the reliability and delay guarantee of critical events while preserving the energy efficiency is a challenging task. Considerable research has been focused on developing robust energy efficient QoS based routing protocols. In this paper, we present the state of the research by summarizing the work on QoS based routing protocols that has already been published and by highlighting the QoS issues that are being addressed. The performance comparison of QoS based routing protocols such as SAR, MMSPEED, MCMP, MCBR, and EQSR has also been analyzed using ns-2 for various parameters.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.177-180
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• 2008

There are many application areas of sensor networks, such as surveillance, hospital monitoring, and home network. These are dependent on the secure operation of networks, and will have serious outcome if the networks is injured. An adversary can inject false data into the network through the compromising node. Ye et al. proposed a statistical en-route filtering scheme (SEF) to detect such false data during forwarding process. In this scheme, it is important that the choice of the threshold value since it trades off security and overhead. This paper presents an adaptive threshold value determining method in the SEF using fuzzy logic. The fuzzy logic determines a security distance value by considering the situation of the network. The Sensor network is divided into several areas by the security distance value, it can each area to uses the different threshold value. The fuzzy based threshold value can reduce the energy consumption in transmitting.

• The Journal of Korea Robotics Society
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• v.7 no.4
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• pp.231-242
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• 2012

This paper proposes particle filter(PF) method using acoustic signal for localization of an underwater robot. The method uses time of arrival(TOA) or time difference of arrival(TDOA) of acoustic signals from beacons whose locations are known. An experiment in towing tank uses TOA information. Simulation uses TDOA information and it reveals dependency of the localization performance on the uncertainty of robot motion and senor data. Also, comparison of the PF method with the least squares method of spherical interpolation(SI) and spherical intersection(SX) is provided. Since PF uses TOA or TDOA which comes from measurement of external information as well as internal motion information, its estimation is more accurate and robust to the sensor and motion uncertainty than the least squares methods.