Engineering Commons^™

Heuristic Based Binary Grasshopper Optimization Algorithm To Solve Unitcommitment Problem, Muhammad Shahid, Tahir Nadeem Malik, Ahsan Said

Turkish Journal of Electrical Engineering and Computer Sciences

The unit commitment problem in power system is a highly nonlinear, nonconvex, multiconstrained, complex,highly dimensional, mixed integer and combinatorial generation selection problem. The phenomenon of committing anddecommitting represents a discrete problem that requires binary/discrete optimization techniques to tackle with unitcommitment optimization problem. The key functions of the unit commitment optimization problem involve decidingwhich units to commit and then to decide their optimum power (economic dispatch). This paper confers a binarygrasshopper optimization algorithm to solve the unit commitment optimization problem under multiple constraints.The grasshopper optimization algorithm is a metaheuristic, multiple solutions-based algorithm inspired by the naturalswarming behavior of grasshopper towards food. …

Maritime Automatic Target Recognition For Ground-Based Scanning Radars By Usingsequential Range Profiles, Baki̇ Bati, Nevci̇han Duru

Turkish Journal of Electrical Engineering and Computer Sciences

Classification of marine targets using radar data products has become an important area for modern researchsociety. However, due to several reasons such as the similarity between ship structures and spatial specifications,classification of marine targets constitutes a challenging problem. In almost all of the studies, this problem has beenhandled by focusing on a single instance of range profiles or synthetic aperture radar data. However, this approachis seen to achieve only a particular success. This study introduces a novel classification approach that is shown toprovide additional classification enhancements by exploiting the extra information extracted from sequential rangeprofiles generated by ground-based marine surveillance …

A Novel Pulse Plethysmograph Signal Analysis Method For Identification Of Myocardial Infarction, Dilated Cardiomyopathy, And Hypertension, Muhammad Umar Khan, Sumair Aziz

Turkish Journal of Electrical Engineering and Computer Sciences

Cardiac diseases (CDs) are one of the leading causes of the growing global mortality rate. Early detectionof CDs is necessary to avoid a high increase in the mortality rate. Machine learning-based computer-aided diagnosisof CDs using various physiological signals has recently been used by researchers. Since pulse plethysmograph (PuPG)signal contains a wealth of information about cardiac pathologies, therefore, this paper presents an expert system designfor the automatic diagnosis of cardiac disorders like hypertension, dilated cardiomyopathy and myocardial infarctionusing a novel fingertip PuPG signal analysis. The proposed system first performs signal denoising of raw PuPG sensordata using discrete wavelet transform (DWT). After …

Analysis Of Shielding Effectiveness By Optimizing Aperture Dimensions Of Arectangular Enclosure With Genetic Algorithm, Sunay Güler, Si̇bel Yeni̇kaya

Turkish Journal of Electrical Engineering and Computer Sciences

Electromagnetic compatibility (EMC) has now become a substantial challenge more than any other time sincethe number of electric vehicles (EV) increased rapidly. The electric driving system in an EV consists of power electroniccomponents supplied by high voltage battery source. They are both source and victim of potential electromagneticinterference (EMI) since fast switching process occurs inside them. Electromagnetic shielding provides a significantprotection against EMI for any electrical and electronic components inside the vehicle. In this paper, analysis of shieldingeffectiveness (SE) by optimizing aperture dimensions of a rectangular enclosure is investigated. Realistic dimensions of theshielding enclosure of an inverter component are employed. …

Haze-Level Prior Approach To Enhance Object Visibility Under Atmosphericdegradation, Vijaya Lakshmi Thirumala, Venkata Satyanarayana Karanam, Pratap Reddy Lankireddy, Aruna Kumari Kakumani, Rakesh Kumar Yacharam

Turkish Journal of Electrical Engineering and Computer Sciences

Outdoor captured scenes are degraded by atmospheric particles and water droplets. Due to scattering andabsorption effects in the atmosphere, degraded images lose contrast and color fidelity. Performances of the computervision algorithms are bound to suffer from low-contrast scene radiance. In many single-image dehazing models, thelarger the deviation in estimation of the key parameters such as transmission map and atmospheric light, the higherthe halo artifacts and loss of fine details in the dehazed image. The available models assume that the scattering lightis independent of wavelength, as the size of the atmospheric particles is larger compared to the wavelength of light.The model …

Neural Relation Extraction: A Review, Mehmet Aydar, Özge Bozal, Furkan Özbay

Turkish Journal of Electrical Engineering and Computer Sciences

Neural relation extraction discovers semantic relations between entities from unstructured text using deeplearning methods. In this study, we make a clear categorization of the existing relation extraction methods in termsof data expressiveness and data supervision, and present a comprehensive and comparative review. We describe theevaluation methodologies and the datasets used for model assessment. We explicitly state the common challenges inrelation extraction task and point out the potential of the pretrained models to solve them. Accordingly, we investigateadditional research directions and improvement ideas in this field.

A Nonlinear Disturbance Observer Scheme For Discrete Time Control Systems, Mehmet Önder Efe, Coşku Kasnakoğlu

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a modification to the original disturbance observer based control (DOBC) scheme byredefining the lowpass filter using a nonlinear element. The proposed technique improves the disturbance predictionperformance for both small and large magnitude disturbance signals. The contribution of the current work is to unfoldthe stability and performance conditions under the proposed modification. A comparative set of simulation studies arediscussed and it is seen that the proposed modification results in smaller disturbance prediction error energy and smallertracking error energy when the plant model is discrete time and uncertain.

A Novel Approach Of Order Diminution Using Time Moment Concept With Routharray And Salp Swarm Algorithm, Nafees Ahamad, Afzal Sikander

Turkish Journal of Electrical Engineering and Computer Sciences

In control engineering, there may be two systems that have the same input-output characteristic with differentdegrees of complexity. This concept leads to order diminution(OD) of a large scale system. In this article, the authorspropose a new hybrid order diminution technique based on the time moment matching method with the Routh arrayconcept and a recently developed fast and accurate salp swarm optimization (SSO) technique. The proposed methodcombines the advantages of both the classical method of OD and the optimization technique. The unknown coe?icient ofthe divisor of the reduced system is obtained by exploring the time moment matching methodology with the Routh …

Learning Multiview Deep Features From Skeletal Sign Language Videos Forrecognition, Ashraf Ali Shaik, Venkata Durga Prasad Mareedu, Venkata Vijaya Kishore Polurie

Turkish Journal of Electrical Engineering and Computer Sciences

The most challenging objective in machine translation of sign language has been the machine?s inability tolearn interoccluding finger movements during an action process. This work addresses the problem of teaching a deeplearning model to recognize differently oriented skeletal data. The multi-view 2D skeletal sign language video data isobtained using 3D motion-captured system. A total of 9 signer views were used for training the proposed network andthe 6 for testing and validation. In order to obtain multi-view deep features for recognition, we proposed an end-to-endtrainable multistream convolutional neural network (CNN) with late feature fusion. The fused multiview features arethen inputted to …

Analytical Modeling And Study On Noise Characteristics Of Rotor Eccentric Spmsmwith Unequal Magnetic Poles Structure, Pengpeng Xia, Shenbo Yu, Rutong Dou, Fengchen Zhai

Turkish Journal of Electrical Engineering and Computer Sciences

he establishment of the analytical model of the rotor eccentric surface-mounted permanent magnet syn-chronous motor (SPMSM) with unequal magnetic poles structure will be beneficial to calculating the magnetic field andstudying noise characteristics quickly. Based on the equivalent surface current (ESC) method and equivalent boundarymethod, the analytical model of the rotor eccentric SPMSM with unequal magnetic poles structure is proposed. Duringthe modeling process, the magnetic field produced by a permanent magnet (PM) is obtained using the ESC method, andthe effect on the air gap magnetic field, which arised from stator, is replaced with the concentric current sheet (CCS)magnetic field. And, the …

Pfecc: A Precise Feedback-Based Explicit Congestion Control Algorithm In Nameddata Networking, Hui Li

Turkish Journal of Electrical Engineering and Computer Sciences

Named data networking (NDN), as a future Internet architecture that is a promising alternative to TCP/IPnetworks, has the new features of connectionless, in-network cache, and hop-by-hop forwarding, which makes thecongestion control algorithms of traditional TCP/IP networks unable to be directly applied to NDN. In addition, sincethe optimal size of the sending window cannot be determined, the existing window-based congestion control algorithmsgenerally use the AIMD-like window adjustment algorithm, which cannot achieve the optimal throughput. In thispaper, we propose a precise feedback-based, multipath-aware congestion control algorithm PFECC, which is inspiredby Accel-Brake Control algorithm. PFECC considers the influence of Interest flows, uses a …

On The Outage Performance Of Swipt-Noma-Crs With Imperfect Sic And Csi, Ferdi̇ Kara

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a nonorthogonal multiple access based cooperative relaying system (NOMA-CRS) is consideredto increase spectral efficiency. Besides, the simultaneous wireless information and power transfer (SWIPT) is proposedfor the relay in NOMA-CRS. In SWIPT-NOMA-CRS, three different energy harvesting (EH) protocols, power sharing(PS), time sharing (TS) and ideal protocols are implemented. The outage performances of the SWIPT-NOMA-CRSare studied for all three EH protocols. In the analysis, to represent practical/reasonable scenarios, imperfect successiveinterference canceler (SIC) and imperfect channel state information (CSI) are taken into consideration. The derivedoutage probability (OP) expressions are validated via computer simulations. Besides, the OP for the benchmark scheme,NOMA-CRS …

Turkish Sign Language Recognition Based On Multistream Data Fusion, Cemi̇l Gündüz, Hüseyi̇n Polat

Turkish Journal of Electrical Engineering and Computer Sciences

Sign languages are nonverbal, visual languages that hearing- or speech-impaired people use for communication.Aside from hands, other communication channels such as body posture and facial expressions are also valuable insign languages. As a result of the fact that the gestures in sign languages vary across countries, the significance ofcommunication channels in each sign language also differs. In this study, representing the communication channels usedin Turkish sign language, a total of 8 different data streams-4 RGB, 3 pose, 1 optical flow-were analyzed. Inception3D was used for RGB and optical flow; and LSTM-RNN was used for pose data streams. Experiments were conductedby …

An Adaptive Element Division Algorithm For Accurate Evaluation Of Singular Andnear Singular Integrals In 3d, Hakan Bayindir, Besi̇m Baranoğlu, Ali̇ Yazici

Turkish Journal of Electrical Engineering and Computer Sciences

An adaptive algorithm for evaluation of singular and near singular integrals in 3D is presented. The algorithmis based on successive adaptive/selective subdivisions of the element until a prescribed error criteria is met. For evaluatingthe integrals in each subdivision, Gauss quadrature is applied. The method is computationally simple, memory efficientand can be applied for both triangular and quadrilateral elements, including the elements with nonplanar and/or curvedsurfaces. To assess the method, several examples are discussed. It has shown that the algorithm performs well forsingular and near-singular integral examples presented in the paper and evaluates the integrals with very high accuracy.

Dual Bit Control Low-Power Dynamic Content Addressable Memory Design For Iotapplications, V V Satyanarayana Satti, Sridevi Sriadibhatla

Turkish Journal of Electrical Engineering and Computer Sciences

The Internet of things (IoT) is an emerging area in the semiconductor industry for low-power and high-speedapplications. Many search engines of IoT applications require low power consumption and high-speed content addressablememory (CAM) devices for the transmission of data packets between servers and end devices. A CAM is a hardwaredevice used for transfer of packets in a network router with high speed at the cost of power consumption. In this paper,a new dual bit control precharge free (PF) dynamic content addressable memory (DCAM) has been introduced. Theproposed design uses a new charge control circuitry, which is used to control the dual …

Relational-Grid-World: A Novel Relational Reasoning Environment And An Agentmodel For Relational Information Extraction, Faruk Küçüksubaşi, Eli̇f Sürer

Turkish Journal of Electrical Engineering and Computer Sciences

Reinforcement learning (RL) agents are often designed specifically for a particular problem and they generallyhave uninterpretable working processes. Statistical methods-based agent algorithms can be improved in terms ofgeneralizability and interpretability using symbolic artificial intelligence (AI) tools such as logic programming. Inthis study, we present a model-free RL architecture that is supported with explicit relational representations of theenvironmental objects. For the first time, we use the PrediNet network architecture in a dynamic decision-making problemrather than image-based tasks, and multi-head dot-product attention network (MHDPA) as a baseline for performancecomparisons. We tested two networks in two environments -i.e., the baseline box-world environment and …

A Topological Overview Of Microgrids: From Maturity To The Future, Ayşe Kübra Erenoğlu, Semanur Sancar, Ozan Erdi̇nç, Mustafa Bağriyanik

Turkish Journal of Electrical Engineering and Computer Sciences

The concept of microgrid (MG) has attracted great attention from the system operators for increasing operational effectiveness as well as providing more reliable, sustainable and economic power system. In this paper, a comprehensive investigation is presented to shine new light on evaluating changes in MG operation from maturity to the future. A great deal of literature studies consisting of the traditional MG architecture, encountered challenges and proposed solutions for overcoming them are all examined in detail. Also, the impact of highly integrated renewable-based energy sources into the power system is analysed by current studies. Moreover, modern MG architecture is extensively …

Chaos In Metaheuristic Based Artificial Intelligence Algorithms:A Short Review, Gökhan Atali, İhsan Pehli̇van, Bi̇lal Gürevi̇n, Hali̇l İbrahi̇m Şeker

Turkish Journal of Electrical Engineering and Computer Sciences

Metaheuristic based artificial intelligence algorithms are commonly used in the solution of optimization problems. Another area -besides engineering systems- where chaos theory is widely employed is optimization problems. Being applied easily and not trapping in local optima, chaos-based search algorithms have attracted great attention. For example, it has been reported that when random number sequences generated from different chaotic systems are replaced with parameter values in bioinspired and swarm intelligence algorithms, an increase in the performance of metaheuristic algorithms is observed. Many scientific studies on developing hybrid algorithms in which metaheuristic algorithms and chaos theory are used together are already …

Efficient Power Macromodeling Approach For An Ip-Based Soc System Usingdiscrete Water Cycle Algorithm, Faisal Siddiq, Yaseer Arafat Durrani

Turkish Journal of Electrical Engineering and Computer Sciences

Low-power consumption is becoming a crucial concern that cannot be neglected in system-on-chip (SoC) designs. Low-power solutions help designers to provide a powerful methodology to analyze, estimate, and optimize today's power concerns. Early estimation of power at a high level reduces the redesign cycle and turn-around time. Power dissipation is a function of input patterns and their characteristics. This paper describes a power estimation technique by using predefined statistical characteristics-based input patterns, which gives the average power dissipation of individual intellectual property (IP) blocks and interconnects/buses in an SoC system design. During the power estimation phase, the discrete water cycle …

The Effect Of Demand Response Control On Stability Delay Margins Of Loadfrequency Control Systems With Communication Time-Delays, Deni̇z Kati̇poğlu, Şahi̇n Sönmez, Saffet Ayasun, Ausnain Naveed

Turkish Journal of Electrical Engineering and Computer Sciences

This paper studies the effect of dynamic demand response (DR) control on stability delay margins of load frequency control (LFC) systems including communication time-delays. A DR control loop is included in each control area, called as LFC-DR system and Rekasius substitution is utilized to identify stability margins for various proportionalintegral (PI) gains and participation ratios of the secondary and DR control loops. The purpose of Rekasius substitution technique is to obtain purely complex roots on the imaginary axis of the time-delayed LFC-DR system. This substitution first converts the characteristic equation of the LFC-DR system including delay-dependent exponential terms into an …

Using Eeg To Detect Driving Fatigue Based On Common Spatial Pattern Andsupport Vector Machine, Li Wang, David Johnson, Yingzi Lin

Turkish Journal of Electrical Engineering and Computer Sciences

To investigate the correlation between electroencephalogram (EEG) and driving fatigue states, this study used machine learning algorithms to detect driving fatigue based on EEG. 14 channels of EEG data were collected from thirty-four healthy subjects in this research at Northeastern University. Each subject participated in two scenarios (baseline and fatigue scenarios). Subjective ratings of fatigue levels were also obtained from the subjects using the NASA-Task Load Index (TLX). The common spatial pattern (CSP) algorithm was used to extract features from the raw EEG data. The support vector machine (SVM) was used as the classifier in the design of the machine …

Identifying Origin-Destination Trips From Gps Data – Application In Travel Time Reliability Of Dedicated Trucks, Li Zhao, Ying Li

Mid-America Transportation Center: Final Reports and Technical Briefs

The advancement of data collection technologies has brought an upsurge in GPS applications. For example, travel behaviour research has benefited from the integration of multiple sources of Global Positioning System (GPS) data. However, the effective use of such data is still impeded by the challenge in data processing. For instance, GPS data, despite providing detailed spatial movement information, do not label the starting and finishing points of a trip, especially for commercial trucks. Hence, there is a critical need to develop a trip identification method to effectively use the trajectory data provided by GPS without additional information. This paper focused …

Mcnair Scholars Research Journal 2021, Calyha Brown, Caroline Carter, Kalvry Cooper, Perla Rodriguez, Huu Trung Tran, Jose A. Cortes, Orion Wynne, Johnathan Alexander Andres, Joshua Perez, Allison Fenske, Chasidah Fried, Giles Fitzwilliams

McNair Scholars Research Journal-Archive

No abstract provided.

Pesticide Occurrence And Persistence Entering Recreational Lakes In Watersheds Of Varying Land Uses, Jessica Satiroff, Tiffany Messer, Aaron R. Mittelstet, Daniel D. Snow

Nebraska Water Center: Faculty Publications

Currently little is known of newer pesticide classes and their occurrence and persistence in recreational lakes. Therefore, the objectives of this study were to (1) assess average pesticide concentrations and loadings entering recreational lakes in three mixed land use watersheds throughout the growing season, (2) evaluate pesticide persistence longitudinally within the lakes, and (3) perform an ecotoxicity assessment. Six sampling campaigns were conducted at three lakes from April through October 2018 to measure the occurrence and persistence during pre, middle, and post growing season. Polar organic chemical integrative samplers (POCIS) were placed in streams near lake inlets and monthly samples …

Occurrence Of Arsenite In Surface And Groundwater Associated With A Perennial Stream Located In Western Nebraska, Usa, Arindam Malakar, Rajesh Singh, Jeffrey Westrop, Karrie A. Weber, Christopher N. Elofson, Manish Kumar, Daniel D. Snow

Nebraska Water Center: Faculty Publications

Dissolved arsenic typically results from chemical weathering of arsenic rich sediments and is most often found in oxidized forms in surface water. The mobility of arsenic is controlled by its valence state and also by its association with iron oxides minerals, the forms of which are both influenced by abiotic and biotic processes in aqueous environment. In this study, speciation methods were used to measure and confirm the presence of reduced arsenic species in the surface water of Frenchman creek, a gaining stream that crosses the Colorado- Nebraska border. Selective extraction analysis of aquifer and stream bed sediments shows that …

Life In Metropolitan Nebraskan Communities: 2021 Nebraska Metro Poll Results, Rebecca J. Vogt, Heather Akin, Cheryl A. Burkhart-Kriesel, Bradley Lubben, L. J. Mcelravy, Timothy Meyer, Steven A. Schulz

Rural Futures Institute: Publications

By many different measures, metropolitan Nebraskans are positive about their community. Most metropolitan Nebraskans rate their community favorably on its social dimensions. Overall, respondents rate their communities as friendly, trusting and supportive. Most metropolitan Nebraskans say it would be difficult to leave their community.

Most metropolitan Nebraskans have a positive attachment to their community. Most metropolitan Nebraskans agree that they can get what they need in their community, the community helps them fulfill their needs, they feel like a member of their community, they belong in their community, they have a good bond with others in their community and feel …

Optimal Multi-Reservoir System Operations Under Inflow Scenarios In Nam Ngum River Basin, Lao Pdr, Bounhome Kimmany

Chulalongkorn University Theses and Dissertations (Chula ETD)

The Nam Ngum River is one of the main rivers in Lao PDR. Many hydropower projects are currently operated, under construction, and in the planning stage within the Nam Ngum River Basin (NNRB). These hydropower projects are managed by different organizations which could lead to conflict in operation and hinder the achievement of national developments. The main objective of this research is therefore to develop an optimization model for maximizing hydropower production in the NNRB through optimal reservoir operation under the impact of climate change. The potential consequence of maximizing hydropower production that could lead to flooding was also considered …

การใช้ของเสียกระจกแผงพลังงานแสงอาทิตย์ทดแทนการใช้ปูนซีเมนต์บางส่วนในการผลิตมอร์ตาร์, ครองขวัญ ข่วงบุญ

Chulalongkorn University Theses and Dissertations (Chula ETD)

จากปริมาณของเสียแผงพลังงานแสงอาทิตย์ที่กำลังจะเกิดขึ้นภายในระยะเวลา 20-30 ปีจากการติดตั้งในช่วงพ.ศ. 2545-2558 อาจจะเป็นน้ำหนักได้ถึง 235,954 ตัน โดยส่วนใหญ่ประเทศไทยนิยมใช้แผงพลังงานแสงอาทิตย์ชนิดผลึกซิลิกอน ซึ่งแผงประเภทนี้มีปริมาณกระจกมากถึงร้อยละ 70-80 โดยน้ำหนักขององค์ประกอบแผง การจัดการของเสียแผงพลังงานแสงอาทิตย์ในประเทศไทยในขณะนี้มีการกำจัดด้วยการนำไปทิ้งที่หลุมฝังกลบอุตสาหกรรม ซึ่งเป็นการจัดการที่ไม่ยั่งยืนเพราะเป็นการสูญเสียทรัพยากรอย่างไร้ประโยชน์ ในงานวิจัยนี้มุ่งเน้นในการนำกระจกแผงพลังงานแสงอาทิตย์ชนิดผลึกซิลิกอนนำกลับมาใช้ประโยชน์ใหม่ โดยทำการศึกษาผลกระทบต่อสมบัติต่างๆของมอร์ตาร์ที่มีการแทนที่บางส่วนของปูนซีเมนต์ด้วยกระจกแผงพลังงานแสงอาทิตย์บดละเอียดขนาด d50 ที่ 4.97 ไมโครเมตร ที่ร้อยละ 0, 10, 20 และ 30 โดยน้ำหนัก จากผลการศึกษาพบว่าเมื่อเพิ่มปริมาณผงกระจกจะทำให้ ค่าการขยายตัวของซีเมนต์เพสต์มีค่าเพิ่มขึ้น ค่าการก่อตัวระยะต้นและระยะปลายของซีเมนต์เพสต์สั้นลง ค่าการไหลแผ่ของมอร์ตาร์มีค่าลดลง การซึมผ่านของคลอไรด์ในมอร์ตาร์ลดลง สำหรับกำลังรับแรงอัดมอร์ตาร์ช่วงอายุต้น พบว่ามอร์ตาร์ที่มีปูนซีเมนต์ที่มีการแทนที่ด้วยผงกระจกร้อยละ 0 ให้กำลังรับแรงอัดสูงที่สุด แต่ที่อายุ 90 วัน มอร์ตาร์ที่มีการแทนที่ปูนซีเมนต์ด้วยผงกระจกร้อยละ 10 ให้กำลังรับแรงอัดที่สูงที่สุด เนื่องจากการเกิดปฏิกิริยาปอซโซลานิกใช้เวลานานกว่าจะเกิดปฏิกิริยา

การปรับปรุงสถานีงานตรวจสอบถังแก๊สคลอรีนโดยใช้การประเมินทางสรีรวิทยาในการทำงาน และชีวกลศาสตร์, ภาณุพงศ์ ภาวิไล

Chulalongkorn University Theses and Dissertations (Chula ETD)

สารคลอรีนที่มีความชื้นสูงสามารถกัดกร่อนถังโลหะบรรจุสารคลอรีนจนเกิดการรั่วไหล การนำถังมาบรรจุสารคลอรรีนใหม่จึงต้องมีการตรวจสอบและระบายน้ำออกจากถังโดยการยกถังคลอรีนคว่ำลง แต่การยกถังหนัก 50 กิโลกรัม จำนวน 100 ถังต่อคนต่อวัน และท่าทางการยกที่ไม่เหมาะสม ทำให้เกิดปัญหาการปวดหลังของพนักงาน ผลจากการประเมินภาระงานของพนักงานเพศชายทั้ง 10 คน พบว่าค่าแรงกดอัดสูงสุดที่กระดูกสันหลังส่วนล่างเฉลี่ยตลอดการยกอยู่ที่ 5,673.4 นิวตัน และ ผลจากการประเมินภาระความเหนื่อยล้าของงาน โดยวิเคราะห์อัตราการเต้นของหัวใจอยู่ในเกณฑ์ที่ไม่ปลอดภัย ซึ่งอาจเกิดอันตรายต่อผู้ปฏิบัติงานในอนาคต จากการปรับปรุงการทำงานทั้ง 3 แนวทางพบว่า แนวทางการใช้อุปกรณ์ช่วยยกคลอรีนและการใช้กล้องงูสามารถลดค่าแรงกดอัดสูงสุดที่กระทำต่อกระดูกหลังส่วนล่างเหลือน้อยกว่า 1,224.8 นิวตัน และผลประเมินภาระความเหนื่อยล้าของงานอยู่ในเกณฑ์ปลอดภัยกลายเป็นงานภาระเบา แต่แนวทางการใช้พนักงาน 2 คนยกถังคลอรีนสามารถลดค่าแรงกดอัดสูงสุดที่กระทำต่อกระดูกสันหลังส่วนล่างได้น้อยกว่า 3,992.4 นิวตัน และผลประเมินภาระความเหนื่อยล้าของงานอยู่ในเกณฑ์ปลอดภัยเพียง 4 คนจากพนักงานทั้ง 10 คน ตามแนวทางประเมินของ Brouha ดังนั้นทางหน่วยงานกรณีศึกษาจึงได้เลือกแนวทางการใช้อุปกรณ์ช่วยยกและพลิกถังคลอรีน เนื่องจากมีความคุ้มค่าในการลงทุนเทียบกับระดับความปลอดภัยที่ได้รับ

Key Success Factors Identification For Logistics Outsourcing In Myanmar, Pyae Sone Htoon

Chulalongkorn University Theses and Dissertations (Chula ETD)

The purpose of this paper is to identify the key success factors that have a profound effect on the service quality of outsourced logistics functions in the import/export sector of trade business in Myanmar and rank them accordingly to their importance when outsourcing logistics functions. The paper states the critical elements required for logistics service providers to compete for high customer satisfaction in Yangon, Myanmar. Fuzzy TOPSIS methodology with triangular fuzzy numbers is used to identify the key success factors and rank them in order of their relative closeness to the ideal solution. The findings suggest that soft factors such …